deviation 1/5   iterations 10/2000   F1 0.32980612840214346   accuracy 0.4484536082474227   precision 0.43267303072002977   recall 0.4100374547389671
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deviation 1/5   iterations 20/2000   F1 0.38477515702986614   accuracy 0.4381443298969072   precision 0.44499823251907084   recall 0.45961789570245654
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deviation 1/5   iterations 30/2000   F1 0.44819624237199623   accuracy 0.6172680412371134   precision 0.4539113353696221   recall 0.45634350706485377
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deviation 1/5   iterations 40/2000   F1 0.45045338702581433   accuracy 0.5721649484536082   precision 0.47439191000577413   recall 0.4730996066417729
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deviation 1/5   iterations 50/2000   F1 0.46603843427133246   accuracy 0.5940721649484536   precision 0.4728263496967977   recall 0.4805212963517154
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deviation 1/5   iterations 60/2000   F1 0.4757593225961037   accuracy 0.6211340206185567   precision 0.4814915770897765   recall 0.47774918150463086
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deviation 1/5   iterations 70/2000   F1 0.4928264203015477   accuracy 0.6327319587628866   precision 0.49146561101303515   recall 0.49486032546006137
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deviation 1/5   iterations 80/2000   F1 0.4827210577717677   accuracy 0.6108247422680413   precision 0.48861280062348245   recall 0.48862689436737555
deviation 1/5   iterations 90/2000   F1 0.505159042152865   accuracy 0.6507731958762887   precision 0.5051994906621392   recall 0.5119014377261525
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deviation 1/5   iterations 100/2000   F1 0.5068806497903916   accuracy 0.663659793814433   precision 0.5070618779877347   recall 0.512620199012146
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deviation 1/5   iterations 110/2000   F1 0.5035337340479189   accuracy 0.6378865979381443   precision 0.501211926442805   recall 0.5171019014010817
deviation 1/5   iterations 120/2000   F1 0.5010898636237164   accuracy 0.634020618556701   precision 0.49897839657809345   recall 0.5158860372690736
deviation 1/5   iterations 130/2000   F1 0.4951155882100921   accuracy 0.6288659793814433   precision 0.4955068454707639   recall 0.5020476125912091
deviation 1/5   iterations 140/2000   F1 0.5029792824594467   accuracy 0.6688144329896907   precision 0.5034276162572309   recall 0.5109072320341234
deviation 1/5   iterations 150/2000   F1 0.4993807982412441   accuracy 0.625   precision 0.49970986062542827   recall 0.5180082417526489
deviation 1/5   iterations 160/2000   F1 0.5048013833104993   accuracy 0.6662371134020618   precision 0.5032215039616417   recall 0.5121931278554709
deviation 1/5   iterations 170/2000   F1 0.4902782004000373   accuracy 0.5992268041237113   precision 0.49688749275847305   recall 0.5079824725339378
deviation 1/5   iterations 180/2000   F1 0.49825377961031614   accuracy 0.6701030927835051   precision 0.4977044821754488   recall 0.5122725242474545
deviation 1/5   iterations 190/2000   F1 0.5023026091866671   accuracy 0.6185567010309279   precision 0.5046419427167396   recall 0.5183559165173404
deviation 1/5   iterations 200/2000   F1 0.5146503725162388   accuracy 0.6623711340206185   precision 0.5127453915432078   recall 0.5283388524004787
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deviation 1/5   iterations 210/2000   F1 0.5087500209826895   accuracy 0.6301546391752577   precision 0.5081815711602603   recall 0.5278301861825034
deviation 1/5   iterations 220/2000   F1 0.4977433220911482   accuracy 0.6172680412371134   precision 0.4995350805963441   recall 0.5191043598391062
deviation 1/5   iterations 230/2000   F1 0.5005200839720616   accuracy 0.6262886597938144   precision 0.5050850522322373   recall 0.508671551784159
deviation 1/5   iterations 240/2000   F1 0.5064970989634788   accuracy 0.6301546391752577   precision 0.5062573099415205   recall 0.5260199891613745
deviation 1/5   iterations 250/2000   F1 0.5067767408213951   accuracy 0.6365979381443299   precision 0.5053671872270552   recall 0.523373483478018
deviation 1/5   iterations 260/2000   F1 0.5020105723154648   accuracy 0.6224226804123711   precision 0.506235648547723   recall 0.5127011833319693
deviation 1/5   iterations 270/2000   F1 0.49478580193364824   accuracy 0.6262886597938144   precision 0.4963911759213057   recall 0.5133617613132734
deviation 1/5   iterations 280/2000   F1 0.5149718911998388   accuracy 0.645618556701031   precision 0.5132943313369066   recall 0.5275406947225015
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deviation 1/5   iterations 290/2000   F1 0.49873567501198884   accuracy 0.6198453608247423   precision 0.5058681217772126   recall 0.5086490357817145
deviation 1/5   iterations 300/2000   F1 0.518474185159256   accuracy 0.6610824742268041   precision 0.5149037805377371   recall 0.5270661078789315
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deviation 1/5   iterations 310/2000   F1 0.4987094253938615   accuracy 0.6146907216494846   precision 0.5028741696426544   recall 0.5161886800288759
deviation 1/5   iterations 320/2000   F1 0.511150053100108   accuracy 0.6481958762886598   precision 0.5088862686666392   recall 0.5252108788529135
deviation 1/5   iterations 330/2000   F1 0.5043345267071757   accuracy 0.6314432989690721   precision 0.5069920207342503   recall 0.514780554479972
deviation 1/5   iterations 340/2000   F1 0.5057165265225247   accuracy 0.6301546391752577   precision 0.5061408449503654   recall 0.5201007642004519
deviation 1/5   iterations 350/2000   F1 0.5048359084681838   accuracy 0.6391752577319587   precision 0.5040192588128506   recall 0.5203699383273257
deviation 1/5   iterations 360/2000   F1 0.5139398145046   accuracy 0.6481958762886598   precision 0.5122610876569661   recall 0.5229120479342484
deviation 1/5   iterations 370/2000   F1 0.49658950576622846   accuracy 0.625   precision 0.49846402211965124   recall 0.5153392200668477
deviation 1/5   iterations 380/2000   F1 0.5179801674362098   accuracy 0.6507731958762887   precision 0.5153750314191322   recall 0.5294481217867365
deviation 1/5   iterations 390/2000   F1 0.5142794302286512   accuracy 0.6378865979381443   precision 0.5133538224313378   recall 0.5287293605007428
deviation 1/5   iterations 400/2000   F1 0.5236793353569037   accuracy 0.6585051546391752   precision 0.5203965775457379   recall 0.5312061207696482
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deviation 1/5   iterations 410/2000   F1 0.5072765023179355   accuracy 0.6185567010309279   precision 0.511241760704896   recall 0.5287543601851931
deviation 1/5   iterations 420/2000   F1 0.5145301736785364   accuracy 0.6469072164948454   precision 0.5147291964346464   recall 0.5224055803855896
deviation 1/5   iterations 430/2000   F1 0.5068319487785616   accuracy 0.6301546391752577   precision 0.5087693666091475   recall 0.5194270349193475
deviation 1/5   iterations 440/2000   F1 0.5103962103223859   accuracy 0.6378865979381443   precision 0.5116811557416926   recall 0.520141113854019
deviation 1/5   iterations 450/2000   F1 0.5213775098873189   accuracy 0.6559278350515464   precision 0.5182469740242078   recall 0.5322143735156438
deviation 1/5   iterations 460/2000   F1 0.5071296741274742   accuracy 0.6353092783505154   precision 0.507963188263502   recall 0.5219156435729028
deviation 1/5   iterations 470/2000   F1 0.5109958864494138   accuracy 0.6365979381443299   precision 0.5128513080679565   recall 0.521259747942921
deviation 1/5   iterations 480/2000   F1 0.5188876242298331   accuracy 0.6572164948453608   precision 0.5159821427733332   recall 0.5285192654327245
deviation 1/5   iterations 490/2000   F1 0.5034431358154634   accuracy 0.6327319587628866   precision 0.5052542566504511   recall 0.5153795697204148
deviation 1/5   iterations 500/2000   F1 0.5213913652791344   accuracy 0.6662371134020618   precision 0.5192524798575003   recall 0.5257233316680449
deviation 1/5   iterations 510/2000   F1 0.5028552529715883   accuracy 0.6327319587628866   precision 0.505203620931186   recall 0.5112705417806208
deviation 1/5   iterations 520/2000   F1 0.5115716714746016   accuracy 0.6469072164948454   precision 0.5099532264580808   recall 0.5221279373102375
deviation 1/5   iterations 530/2000   F1 0.5027921204652172   accuracy 0.6275773195876289   precision 0.5068469343003107   recall 0.5127984133750755
deviation 1/5   iterations 540/2000   F1 0.5157422995755578   accuracy 0.654639175257732   precision 0.5134343264775229   recall 0.5245596655742538
deviation 1/5   iterations 550/2000   F1 0.4994275253457159   accuracy 0.6224226804123711   precision 0.503196098327025   recall 0.5108909863108405
deviation 1/5   iterations 560/2000   F1 0.5072610400264796   accuracy 0.6391752577319587   precision 0.5080529191832039   recall 0.5148209041335391
deviation 1/5   iterations 570/2000   F1 0.5036756878273931   accuracy 0.6353092783505154   precision 0.5053074257880634   recall 0.5125611199532906
deviation 1/5   iterations 580/2000   F1 0.5076357322687128   accuracy 0.6404639175257731   precision 0.510199067834681   recall 0.5146536424010935
deviation 1/5   iterations 590/2000   F1 0.5059575535766011   accuracy 0.6365979381443299   precision 0.5055901116427431   recall 0.5183130831817676
deviation 1/5   iterations 600/2000   F1 0.5173297337038639   accuracy 0.6507731958762887   precision 0.516852123338839   recall 0.5253390938469426
deviation 1/5   iterations 610/2000   F1 0.4965544293003617   accuracy 0.6134020618556701   precision 0.5058426019097909   recall 0.5071865135252772
deviation 1/5   iterations 620/2000   F1 0.51648261287338   accuracy 0.6507731958762887   precision 0.5154422190712513   recall 0.5260128231280469
deviation 1/5   iterations 630/2000   F1 0.49856635668580623   accuracy 0.6224226804123711   precision 0.5034637478179679   recall 0.5084070600086075
deviation 1/5   iterations 640/2000   F1 0.5057943873992162   accuracy 0.6353092783505154   precision 0.5053888558790519   recall 0.5193391695788856
deviation 1/5   iterations 650/2000   F1 0.4950372027544141   accuracy 0.6121134020618557   precision 0.5014625657770581   recall 0.5072612275659387
deviation 1/5   iterations 660/2000   F1 0.5068292682926829   accuracy 0.6391752577319587   precision 0.5076752604799027   recall 0.514728356441755
deviation 1/5   iterations 670/2000   F1 0.5101363831414765   accuracy 0.6353092783505154   precision 0.510457641328442   recall 0.5263023145880488
deviation 1/5   iterations 680/2000   F1 0.5007730806364052   accuracy 0.625   precision 0.5053260651148713   recall 0.5106490105377334
deviation 1/5   iterations 690/2000   F1 0.5257933334660757   accuracy 0.6597938144329897   precision 0.5224552041950109   recall 0.5385831856356862
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deviation 1/5   iterations 700/2000   F1 0.49317280152752724   accuracy 0.6082474226804123   precision 0.4998745226404801   recall 0.5076704650714913
deviation 1/5   iterations 710/2000   F1 0.514897378406347   accuracy 0.645618556701031   precision 0.5138897870492575   recall 0.5259155930849407
deviation 1/5   iterations 720/2000   F1 0.5000845817351838   accuracy 0.6224226804123711   precision 0.5046399836883751   recall 0.5109835340026245
deviation 1/5   iterations 730/2000   F1 0.5172755341248566   accuracy 0.6533505154639175   precision 0.5192752540534767   recall 0.5232869210527066
deviation 1/5   iterations 740/2000   F1 0.4950270934252627   accuracy 0.6185567010309279   precision 0.5005487670407268   recall 0.5053809988554705
deviation 1/5   iterations 750/2000   F1 0.5040065032654238   accuracy 0.634020618556701   precision 0.507194423699278   recall 0.5119621047128476
deviation 1/5   iterations 760/2000   F1 0.5039839008021714   accuracy 0.6275773195876289   precision 0.5077422004229368   recall 0.516233712033765
deviation 1/5   iterations 770/2000   F1 0.4997738080317084   accuracy 0.6224226804123711   precision 0.5080101271882094   recall 0.507640783035719
deviation 1/5   iterations 780/2000   F1 0.5136058905215553   accuracy 0.645618556701031   precision 0.51201994179667   recall 0.5274481470307174
deviation 1/5   iterations 790/2000   F1 0.4989761229694798   accuracy 0.6237113402061856   precision 0.507993038494151   recall 0.5057558719739287
deviation 1/5   iterations 800/2000   F1 0.4969292997151835   accuracy 0.6185567010309279   precision 0.5023662702491068   recall 0.5080500205412717
deviation 1/5   iterations 810/2000   F1 0.5000015032084736   accuracy 0.6365979381443299   precision 0.5025944935313901   recall 0.5055232609034658
deviation 1/5   iterations 820/2000   F1 0.5062966365053639   accuracy 0.6353092783505154   precision 0.5102997134684296   recall 0.513697587693315
deviation 1/5   iterations 830/2000   F1 0.49934173369121654   accuracy 0.6185567010309279   precision 0.5049942203914807   recall 0.5173119964691
deviation 1/5   iterations 840/2000   F1 0.5021952931883599   accuracy 0.6301546391752577   precision 0.5044699153503734   recall 0.511605065245512
deviation 1/5   iterations 850/2000   F1 0.4969359992826998   accuracy 0.6185567010309279   precision 0.5018742309038361   recall 0.5096751221788325
deviation 1/5   iterations 860/2000   F1 0.5091643958944886   accuracy 0.6417525773195877   precision 0.5105195354627802   recall 0.516970306970881
deviation 1/5   iterations 870/2000   F1 0.5220617749146408   accuracy 0.6597938144329897   precision 0.5191979838341494   recall 0.5333376899558678
deviation 1/5   iterations 880/2000   F1 0.4858951954466572   accuracy 0.5992268041237113   precision 0.4992885798442151   recall 0.49595892722852436
deviation 1/5   iterations 890/2000   F1 0.5106968547380787   accuracy 0.645618556701031   precision 0.5110480803744375   recall 0.5189524480757776
deviation 1/5   iterations 900/2000   F1 0.4961314968782578   accuracy 0.6172680412371134   precision 0.505138743179554   recall 0.5047819836150277
deviation 1/5   iterations 910/2000   F1 0.5023266880524905   accuracy 0.6314432989690721   precision 0.5076675328392803   recall 0.5097201541837216
deviation 1/5   iterations 920/2000   F1 0.5074721296334574   accuracy 0.6404639175257731   precision 0.5106446692999493   recall 0.5145610947093094
deviation 1/5   iterations 930/2000   F1 0.4971825906795146   accuracy 0.6211340206185567   precision 0.5046477982055766   recall 0.5059053000552517
deviation 1/5   iterations 940/2000   F1 0.5137208017462344   accuracy 0.6494845360824743   precision 0.5130377509018286   recall 0.5235110631746912
deviation 1/5   iterations 950/2000   F1 0.49921632564815005   accuracy 0.6262886597938144   precision 0.5035181450489699   recall 0.508579004092375
deviation 1/5   iterations 960/2000   F1 0.49962265016028456   accuracy 0.6275773195876289   precision 0.5051467603873296   recall 0.5067866407223688
deviation 1/5   iterations 970/2000   F1 0.5059514050160057   accuracy 0.6391752577319587   precision 0.5085771511102359   recall 0.5130107071124103
deviation 1/5   iterations 980/2000   F1 0.4832129600183073   accuracy 0.5966494845360825   precision 0.5002966111740258   recall 0.48942285337603636
deviation 1/5   iterations 990/2000   F1 0.5118728554851903   accuracy 0.6585051546391752   precision 0.5107487642554971   recall 0.5187198370053147
deviation 1/5   iterations 1000/2000   F1 0.4932102134143303   accuracy 0.6146907216494846   precision 0.5073248648932535   recall 0.49824590976253963
deviation 1/5   iterations 1010/2000   F1 0.5093647428213484   accuracy 0.6378865979381443   precision 0.5131556708353724   recall 0.5175646398600017
deviation 1/5   iterations 1020/2000   F1 0.49861944996783936   accuracy 0.6301546391752577   precision 0.5018026599926652   recall 0.5079846712032544
deviation 1/5   iterations 1030/2000   F1 0.5042527168320117   accuracy 0.6365979381443299   precision 0.5086194279834156   recall 0.5108613042750682
deviation 1/5   iterations 1040/2000   F1 0.48956748667161815   accuracy 0.6211340206185567   precision 0.49590163703174217   recall 0.4978056873060641
deviation 1/5   iterations 1050/2000   F1 0.4835132012551367   accuracy 0.6108247422680413   precision 0.49143091793751265   recall 0.4915069068753611
deviation 1/5   iterations 1060/2000   F1 0.4973917178753285   accuracy 0.6301546391752577   precision 0.5048242244535796   recall 0.5022505416258997
deviation 1/5   iterations 1070/2000   F1 0.49274596414349664   accuracy 0.6237113402061856   precision 0.4956736818177012   recall 0.5060594104878969
deviation 1/5   iterations 1080/2000   F1 0.5007096428382694   accuracy 0.6301546391752577   precision 0.5061498241714703   recall 0.5081697665868224
deviation 1/5   iterations 1090/2000   F1 0.49670360375027617   accuracy 0.6185567010309279   precision 0.5075947852348209   recall 0.5037558972179097
deviation 1/5   iterations 1100/2000   F1 0.49681163063516004   accuracy 0.6301546391752577   precision 0.500825206400911   recall 0.5053156495174532
deviation 1/5   iterations 1110/2000   F1 0.4980436132900399   accuracy 0.6211340206185567   precision 0.5095101746017896   recall 0.5042801984176909
deviation 1/5   iterations 1120/2000   F1 0.49650762343338056   accuracy 0.6237113402061856   precision 0.5035565741448095   recall 0.506244505871465
deviation 1/5   iterations 1130/2000   F1 0.5060220769685019   accuracy 0.6404639175257731   precision 0.5098046355010899   recall 0.5120771684070763
deviation 1/5   iterations 1140/2000   F1 0.4990356752266343   accuracy 0.634020618556701   precision 0.5007560529862789   recall 0.5115919139457116
deviation 1/5   iterations 1150/2000   F1 0.47621920010539487   accuracy 0.5940721649484536   precision 0.49619950113061523   recall 0.4804028532213152
deviation 1/5   iterations 1160/2000   F1 0.49262638005049214   accuracy 0.615979381443299   precision 0.5009988069662573   recall 0.5005625743323273
deviation 1/5   iterations 1170/2000   F1 0.4913809935699822   accuracy 0.6172680412371134   precision 0.5032806737695156   recall 0.49619373696830377
deviation 1/5   iterations 1180/2000   F1 0.5041737636932331   accuracy 0.6391752577319587   precision 0.5064174330267893   recall 0.5119667870641698
deviation 1/5   iterations 1190/2000   F1 0.49642104366594086   accuracy 0.6211340206185567   precision 0.5036606977038846   recall 0.5050464753905793
deviation 1/5   iterations 1200/2000   F1 0.49028878613722554   accuracy 0.615979381443299   precision 0.502154708037061   recall 0.49540962634429286
deviation 1/5   iterations 1210/2000   F1 0.49167072077838947   accuracy 0.6288659793814433   precision 0.49818548424480297   recall 0.4952695629656141
deviation 1/5   iterations 1220/2000   F1 0.48430771241620135   accuracy 0.6056701030927835   precision 0.493800539083558   recall 0.49570380015561694
deviation 1/5   iterations 1230/2000   F1 0.48372227608497936   accuracy 0.6069587628865979   precision 0.5000923191698261   recall 0.48722593485179955
deviation 1/5   iterations 1240/2000   F1 0.5007979478952557   accuracy 0.6301546391752577   precision 0.5023868953072492   recall 0.5139964438559611
deviation 1/5   iterations 1250/2000   F1 0.4980679099406811   accuracy 0.6327319587628866   precision 0.5035025762858126   recall 0.5034485721067853
deviation 1/5   iterations 1260/2000   F1 0.49037007638386826   accuracy 0.6211340206185567   precision 0.497370675485261   recall 0.4962731333602874
deviation 1/5   iterations 1270/2000   F1 0.49486590038314177   accuracy 0.6134020618556701   precision 0.5041235440826424   recall 0.5053763165041484
deviation 1/5   iterations 1280/2000   F1 0.49419642081742327   accuracy 0.6237113402061856   precision 0.5006153218188106   recall 0.5011841055752146
deviation 1/5   iterations 1290/2000   F1 0.49894508280874367   accuracy 0.6288659793814433   precision 0.50545312510378   recall 0.5057605543252507
deviation 1/5   iterations 1300/2000   F1 0.5080791297942163   accuracy 0.6469072164948454   precision 0.5095175112509472   recall 0.5152573399928584
deviation 1/5   iterations 1310/2000   F1 0.48466567180963754   accuracy 0.5902061855670103   precision 0.5073420843431657   recall 0.4949234761287622
deviation 1/5   iterations 1320/2000   F1 0.5123385317264989   accuracy 0.654639175257732   precision 0.5124260121147443   recall 0.5185478929215469
deviation 1/5   iterations 1330/2000   F1 0.4934652478148749   accuracy 0.6069587628865979   precision 0.5056592533255889   recall 0.5062126251663761
deviation 1/5   iterations 1340/2000   F1 0.5000791888393591   accuracy 0.6365979381443299   precision 0.5026275589953914   recall 0.5071483625410266
deviation 1/5   iterations 1350/2000   F1 0.5047365035918108   accuracy 0.6365979381443299   precision 0.5107329767655855   recall 0.5107687565832841
deviation 1/5   iterations 1360/2000   F1 0.5012528883567424   accuracy 0.6353092783505154   precision 0.50375   recall 0.5106583752403777
deviation 1/5   iterations 1370/2000   F1 0.49960472108851367   accuracy 0.634020618556701   precision 0.5041440094974613   recall 0.5057652366765729
deviation 1/5   iterations 1380/2000   F1 0.49245440934244883   accuracy 0.615979381443299   precision 0.5016713377113403   recall 0.5004700266405432
deviation 1/5   iterations 1390/2000   F1 0.49937136712958696   accuracy 0.6262886597938144   precision 0.5097712751427448   recall 0.5053288008172535
deviation 1/5   iterations 1400/2000   F1 0.5019596470539214   accuracy 0.6365979381443299   precision 0.5041298590013242   recall 0.51469268913951
deviation 1/5   iterations 1410/2000   F1 0.49538262793701954   accuracy 0.6172680412371134   precision 0.5075012811924856   recall 0.5022055096210104
deviation 1/5   iterations 1420/2000   F1 0.5013920928013912   accuracy 0.6275773195876289   precision 0.5105772605523229   recall 0.5085968377434975
deviation 1/5   iterations 1430/2000   F1 0.4903141956712174   accuracy 0.6069587628865979   precision 0.5016782919081769   recall 0.5009671294865577
deviation 1/5   iterations 1440/2000   F1 0.5109390210168853   accuracy 0.6481958762886598   precision 0.5134302715686064   recall 0.517759099946214
deviation 1/5   iterations 1450/2000   F1 0.5035726436785554   accuracy 0.6237113402061856   precision 0.5090335353387001   recall 0.519311971225119
deviation 1/5   iterations 1460/2000   F1 0.5006345880764486   accuracy 0.6353092783505154   precision 0.5088398341764315   recall 0.5049242456630231
deviation 1/5   iterations 1470/2000   F1 0.49191591930005796   accuracy 0.6018041237113402   precision 0.5034538514399228   recall 0.5094581460901756
deviation 1/5   iterations 1480/2000   F1 0.5136408704307437   accuracy 0.6597938144329897   precision 0.5139170188744132   recall 0.5187376706564372
deviation 1/5   iterations 1490/2000   F1 0.5017138703246354   accuracy 0.6262886597938144   precision 0.5057447219504262   recall 0.5163084260744266
deviation 1/5   iterations 1500/2000   F1 0.5192669432058227   accuracy 0.6662371134020618   precision 0.5186721991701245   recall 0.5255382362844768
deviation 1/5   iterations 1510/2000   F1 0.4866476443507581   accuracy 0.5927835051546392   precision 0.5057702478756038   recall 0.49869798060366505
deviation 1/5   iterations 1520/2000   F1 0.5225051853473297   accuracy 0.6688144329896907   precision 0.5199286761348617   recall 0.5303566608076201
deviation 1/5   iterations 1530/2000   F1 0.4930138637733575   accuracy 0.6172680412371134   precision 0.5056139258400346   recall 0.4986776632705369
deviation 1/5   iterations 1540/2000   F1 0.4879816247377615   accuracy 0.6172680412371134   precision 0.5005539395437909   recall 0.4907631459049173
deviation 1/5   iterations 1550/2000   F1 0.4970536135081988   accuracy 0.6198453608247423   precision 0.5039362790635055   recall 0.5094153127546028
deviation 1/5   iterations 1560/2000   F1 0.4867293625914315   accuracy 0.6134020618556701   precision 0.49809045226130655   recall 0.491357478794038
deviation 1/5   iterations 1570/2000   F1 0.502837070597991   accuracy 0.634020618556701   precision 0.5060406627820272   recall 0.5134946586586244
deviation 1/5   iterations 1580/2000   F1 0.4975951967183836   accuracy 0.6314432989690721   precision 0.5047803479212775   recall 0.5026644614827744
deviation 1/5   iterations 1590/2000   F1 0.4845102760274096   accuracy 0.5979381443298969   precision 0.5057630635729108   recall 0.4911583363565037
deviation 1/5   iterations 1600/2000   F1 0.5032911015609013   accuracy 0.645618556701031   precision 0.5074988205829327   recall 0.50683635507858
deviation 1/5   iterations 1610/2000   F1 0.5069307083567108   accuracy 0.6443298969072165   precision 0.5096213148727436   recall 0.5147330387930771
deviation 1/5   iterations 1620/2000   F1 0.4986860905448478   accuracy 0.6262886597938144   precision 0.5058101950349297   recall 0.5068613547630303
deviation 1/5   iterations 1630/2000   F1 0.5024890997985232   accuracy 0.6224226804123711   precision 0.5100444261150819   recall 0.5144188326613142
deviation 1/5   iterations 1640/2000   F1 0.4868858877142488   accuracy 0.6121134020618557   precision 0.4982348096520018   recall 0.49238356519115595
deviation 1/5   iterations 1650/2000   F1 0.4911117637461249   accuracy 0.615979381443299   precision 0.500580530180985   recall 0.49789355264652607
deviation 1/5   iterations 1660/2000   F1 0.4864507837653617   accuracy 0.5940721649484536   precision 0.5098071984545326   recall 0.4951879679043139
deviation 1/5   iterations 1670/2000   F1 0.5175526617933376   accuracy 0.6494845360824743   precision 0.5210441076201059   recall 0.5255063555793881
deviation 1/5   iterations 1680/2000   F1 0.5146396027071894   accuracy 0.6494845360824743   precision 0.5144730337199034   recall 0.5244624355311477
deviation 1/5   iterations 1690/2000   F1 0.48773822897045543   accuracy 0.5992268041237113   precision 0.5142528159602903   recall 0.4928012716451869
deviation 1/5   iterations 1700/2000   F1 0.4974848958715293   accuracy 0.6211340206185567   precision 0.5036816475505547   recall 0.5101068756868297
deviation 1/5   iterations 1710/2000   F1 0.5100692132348376   accuracy 0.6378865979381443   precision 0.5145034834281031   recall 0.520141113854019
deviation 1/5   iterations 1720/2000   F1 0.4995455090081258   accuracy 0.6198453608247423   precision 0.5058758443978569   recall 0.5138945314615329
deviation 1/5   iterations 1730/2000   F1 0.5100350756138232   accuracy 0.6520618556701031   precision 0.5096519581782739   recall 0.5179310440299817
deviation 1/5   iterations 1740/2000   F1 0.481284971344103   accuracy 0.5876288659793815   precision 0.5023711044521978   recall 0.4925889779078522
deviation 1/5   iterations 1750/2000   F1 0.5130258748605397   accuracy 0.6469072164948454   precision 0.5128318764390651   recall 0.523079309666694
deviation 1/5   iterations 1760/2000   F1 0.509755007631705   accuracy 0.6327319587628866   precision 0.5153026098898641   recall 0.5216689854484736
deviation 1/5   iterations 1770/2000   F1 0.5117279926425312   accuracy 0.6585051546391752   precision 0.5148548447907503   recall 0.5146108090655207
deviation 1/5   iterations 1780/2000   F1 0.49884496809559725   accuracy 0.6082474226804123   precision 0.5086519939461116   recall 0.5165363547935673
deviation 1/5   iterations 1790/2000   F1 0.5134929309338617   accuracy 0.6275773195876289   precision 0.5260445299615174   recall 0.5271874418523219
deviation 1/5   iterations 1800/2000   F1 0.5061512517684535   accuracy 0.6108247422680413   precision 0.5177517805832604   recall 0.526877918071881
deviation 1/5   iterations 1810/2000   F1 0.5167471443406023   accuracy 0.6481958762886598   precision 0.5239780282826217   recall 0.5241410633660569
deviation 1/5   iterations 1820/2000   F1 0.505213725079536   accuracy 0.6172680412371134   precision 0.515952380952381   recall 0.5206110183462668
deviation 1/5   iterations 1830/2000   F1 0.5102271864592514   accuracy 0.6353092783505154   precision 0.5188102261553589   recall 0.5188505356813493
deviation 1/5   iterations 1840/2000   F1 0.5147957572675675   accuracy 0.6520618556701031   precision 0.5160990036422745   recall 0.5224102627369117
deviation 1/5   iterations 1850/2000   F1 0.504775968003521   accuracy 0.6198453608247423   precision 0.5201941844752515   recall 0.5151235468933414
deviation 1/5   iterations 1860/2000   F1 0.5041910250712484   accuracy 0.6262886597938144   precision 0.51301125261101   recall 0.5148684198204339
deviation 1/5   iterations 1870/2000   F1 0.4980920453232505   accuracy 0.6121134020618557   precision 0.5114485744396023   recall 0.5108816216081963
deviation 1/5   iterations 1880/2000   F1 0.4990357854471618   accuracy 0.6056701030927835   precision 0.5118273325590398   recall 0.5169634259502425
deviation 1/5   iterations 1890/2000   F1 0.510916651613471   accuracy 0.634020618556701   precision 0.5194243586041096   recall 0.521686819099596
deviation 1/5   iterations 1900/2000   F1 0.49460846717788537   accuracy 0.5992268041237113   precision 0.50914142479645   recall 0.51273933431622
deviation 1/5   iterations 1910/2000   F1 0.5115552563903415   accuracy 0.6443298969072165   precision 0.5172705314009661   recall 0.5193048051917911
deviation 1/5   iterations 1920/2000   F1 0.5032118922253451   accuracy 0.6353092783505154   precision 0.5109591178213394   recall 0.5101697413428413
deviation 1/5   iterations 1930/2000   F1 0.4915646758643266   accuracy 0.6030927835051546   precision 0.5061921211826336   recall 0.5043230317532638
deviation 1/5   iterations 1940/2000   F1 0.5133030861485631   accuracy 0.6365979381443299   precision 0.5189964617930719   recall 0.5257389666498509
deviation 1/5   iterations 1950/2000   F1 0.5184390967909096   accuracy 0.6391752577319587   precision 0.5208479320391555   recall 0.534758966804572
deviation 1/5   iterations 1960/2000   F1 0.49778674846870974   accuracy 0.6018041237113402   precision 0.5127100409561113   recall 0.5158401095100184
deviation 1/5   iterations 1970/2000   F1 0.5038473784797696   accuracy 0.6146907216494846   precision 0.520405420896234   recall 0.51674396617958
deviation 1/5   iterations 1980/2000   F1 0.5160227100610261   accuracy 0.6301546391752577   precision 0.523434266876096   recall 0.5327721433483535
deviation 1/5   iterations 1990/2000   F1 0.5175758760726081   accuracy 0.6469072164948454   precision 0.5232865380274038   recall 0.5268847990925196
deviation 1/5   iterations 2000/2000   F1 0.5187165835027887   accuracy 0.6520618556701031   precision 0.5180271089322849   recall 0.5327161587129804

deviation 2/5   iterations 10/2000   F1 0.21143650793650795   accuracy 0.25161290322580643   precision 0.3623764480988707   recall 0.34125746806972207
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deviation 2/5   iterations 20/2000   F1 0.2517992523637382   accuracy 0.25548387096774194   precision 0.3989622342871819   recall 0.3588817280941121
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deviation 2/5   iterations 30/2000   F1 0.37604931324104535   accuracy 0.4232258064516129   precision 0.4386603671892022   recall 0.38777863572051396
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deviation 2/5   iterations 40/2000   F1 0.3999775755378662   accuracy 0.4838709677419355   precision 0.42504948588920904   recall 0.42384961905542634
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deviation 2/5   iterations 50/2000   F1 0.3661319365992264   accuracy 0.40516129032258064   precision 0.45299426634526113   recall 0.4092991447789003
deviation 2/5   iterations 60/2000   F1 0.44756026006505234   accuracy 0.5587096774193548   precision 0.45353922359904414   recall 0.4656924080576368
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deviation 2/5   iterations 70/2000   F1 0.45466929988044974   accuracy 0.5896774193548387   precision 0.45563772506777694   recall 0.47337494982834877
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deviation 2/5   iterations 80/2000   F1 0.42140758251955285   accuracy 0.5058064516129033   precision 0.48550421101400715   recall 0.4446721837893328
deviation 2/5   iterations 90/2000   F1 0.43628859939942083   accuracy 0.5380645161290323   precision 0.4520046010200301   recall 0.45462740114200745
deviation 2/5   iterations 100/2000   F1 0.4776071980353871   accuracy 0.5870967741935483   precision 0.4914657343499848   recall 0.4839499803567657
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deviation 2/5   iterations 110/2000   F1 0.47799622195245717   accuracy 0.5806451612903226   precision 0.4867538151944906   recall 0.4934196392091721
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deviation 2/5   iterations 120/2000   F1 0.47837287274031337   accuracy 0.584516129032258   precision 0.4852498248020636   recall 0.49543075952148724
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deviation 2/5   iterations 130/2000   F1 0.4858850964496772   accuracy 0.5806451612903226   precision 0.5007044953691295   recall 0.5023981762962694
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deviation 2/5   iterations 140/2000   F1 0.4797437548926939   accuracy 0.5974193548387097   precision 0.4830346475507765   recall 0.5020921149062941
deviation 2/5   iterations 150/2000   F1 0.4697804183954233   accuracy 0.5458064516129032   precision 0.5072336638698195   recall 0.48657845946318745
deviation 2/5   iterations 160/2000   F1 0.48572510933068697   accuracy 0.5909677419354838   precision 0.49021008064710153   recall 0.5076128373322574
deviation 2/5   iterations 170/2000   F1 0.494537736506748   accuracy 0.5870967741935483   precision 0.5079648260277354   recall 0.5155734605422972
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deviation 2/5   iterations 180/2000   F1 0.5042050396918988   accuracy 0.6258064516129033   precision 0.5031914530840349   recall 0.5218275522010157
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deviation 2/5   iterations 190/2000   F1 0.4772369164892529   accuracy 0.5509677419354839   precision 0.5075892272514126   recall 0.5033289596252585
deviation 2/5   iterations 200/2000   F1 0.5146498627932826   accuracy 0.6206451612903225   precision 0.5195672079882371   recall 0.5316948208784101
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deviation 2/5   iterations 210/2000   F1 0.4805498190611648   accuracy 0.552258064516129   precision 0.5022632984817859   recall 0.5186801350040801
deviation 2/5   iterations 220/2000   F1 0.5197135671069321   accuracy 0.6335483870967742   precision 0.5258432515487049   recall 0.5325479639349889
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deviation 2/5   iterations 230/2000   F1 0.4895905128463269   accuracy 0.5729032258064516   precision 0.502956254095952   recall 0.5192251713526539
deviation 2/5   iterations 240/2000   F1 0.5072106172633021   accuracy 0.6335483870967742   precision 0.5055238372694276   recall 0.5241812223769573
deviation 2/5   iterations 250/2000   F1 0.4903386419864031   accuracy 0.5780645161290323   precision 0.5084485600558558   recall 0.513394296900656
deviation 2/5   iterations 260/2000   F1 0.4963223905226936   accuracy 0.5935483870967742   precision 0.5086798602767766   recall 0.5145737909020655
deviation 2/5   iterations 270/2000   F1 0.49023686010345013   accuracy 0.5922580645161291   precision 0.49716315064239885   recall 0.515296524481066
deviation 2/5   iterations 280/2000   F1 0.49372142229267874   accuracy 0.5948387096774194   precision 0.5179689217489906   recall 0.5040064507694405
deviation 2/5   iterations 290/2000   F1 0.4985716293509392   accuracy 0.6141935483870967   precision 0.5005415200334525   recall 0.5207999026101366
deviation 2/5   iterations 300/2000   F1 0.50679934038619   accuracy 0.6180645161290322   precision 0.509758480792331   recall 0.5231288653442786
deviation 2/5   iterations 310/2000   F1 0.5030364281075373   accuracy 0.6103225806451613   precision 0.511083061839761   recall 0.5189794877509176
deviation 2/5   iterations 320/2000   F1 0.4909112331450336   accuracy 0.5780645161290323   precision 0.5106428629376704   recall 0.514260366367183
deviation 2/5   iterations 330/2000   F1 0.5017250275061333   accuracy 0.6051612903225806   precision 0.5108297993543895   recall 0.5198046508568491
deviation 2/5   iterations 340/2000   F1 0.48935074379110616   accuracy 0.567741935483871   precision 0.510283071740568   recall 0.5201139029429509
deviation 2/5   iterations 350/2000   F1 0.5173856440452459   accuracy 0.6361290322580645   precision 0.5169362583245932   recall 0.5352818178263047
deviation 2/5   iterations 360/2000   F1 0.49560809560809554   accuracy 0.5961290322580645   precision 0.5065214690642335   recall 0.514900141846896
deviation 2/5   iterations 370/2000   F1 0.4885201944025474   accuracy 0.584516129032258   precision 0.5011402602748678   recall 0.5129428543051245
deviation 2/5   iterations 380/2000   F1 0.5063402822010623   accuracy 0.6180645161290322   precision 0.5127741702741703   recall 0.5205306569446974
deviation 2/5   iterations 390/2000   F1 0.5019875252171765   accuracy 0.6090322580645161   precision 0.5121205662765765   recall 0.5165557858856366
deviation 2/5   iterations 400/2000   F1 0.4971649000232696   accuracy 0.5922580645161291   precision 0.5084055826322872   recall 0.5232818551329056
deviation 2/5   iterations 410/2000   F1 0.5141037872974453   accuracy 0.6335483870967742   precision 0.5147692307692308   recall 0.5295683446292158
deviation 2/5   iterations 420/2000   F1 0.48158127581772137   accuracy 0.5587096774193548   precision 0.5096805572988578   recall 0.5098222716807393
deviation 2/5   iterations 430/2000   F1 0.5088520462203605   accuracy 0.6258064516129033   precision 0.5132772051424394   recall 0.5220182576541118
deviation 2/5   iterations 440/2000   F1 0.4980629414208558   accuracy 0.5922580645161291   precision 0.5129295408792779   recall 0.5198811457511626
deviation 2/5   iterations 450/2000   F1 0.4923001193317423   accuracy 0.607741935483871   precision 0.4978073715194185   recall 0.5138142415985288
deviation 2/5   iterations 460/2000   F1 0.49260662024964486   accuracy 0.5754838709677419   precision 0.5274846681096681   recall 0.5103426005875135
deviation 2/5   iterations 470/2000   F1 0.5060752784339849   accuracy 0.6219354838709678   precision 0.5102120640409239   recall 0.5232807097548089
deviation 2/5   iterations 480/2000   F1 0.502893461276689   accuracy 0.584516129032258   precision 0.5280400085707352   recall 0.5290406525775343
deviation 2/5   iterations 490/2000   F1 0.5004905058448824   accuracy 0.6141935483870967   precision 0.506690235092912   recall 0.5173991932283938
deviation 2/5   iterations 500/2000   F1 0.5058449094275124   accuracy 0.6038709677419355   precision 0.5216359935339986   recall 0.523507003741623
deviation 2/5   iterations 510/2000   F1 0.49789047232229056   accuracy 0.6012903225806452   precision 0.508689765033851   recall 0.5184053260735997
deviation 2/5   iterations 520/2000   F1 0.5086590495827742   accuracy 0.6193548387096774   precision 0.5151935438153756   recall 0.5254889987251942
deviation 2/5   iterations 530/2000   F1 0.4916229334833986   accuracy 0.584516129032258   precision 0.5092596652200784   recall 0.5139360607403822
deviation 2/5   iterations 540/2000   F1 0.5007977224583343   accuracy 0.6335483870967742   precision 0.5021572352906686   recall 0.519660169591226
deviation 2/5   iterations 550/2000   F1 0.4962898945330332   accuracy 0.5909677419354838   precision 0.5099052056106607   recall 0.5182599448680435
deviation 2/5   iterations 560/2000   F1 0.49300432437132136   accuracy 0.6090322580645161   precision 0.500563967478367   recall 0.5093093877315934
deviation 2/5   iterations 570/2000   F1 0.4911588907888631   accuracy 0.6141935483870967   precision 0.4963886502967889   recall 0.5093502940921889
deviation 2/5   iterations 580/2000   F1 0.5002906567514442   accuracy 0.5870967741935483   precision 0.5274096869271766   recall 0.5191013068927708
deviation 2/5   iterations 590/2000   F1 0.4896239287639656   accuracy 0.6090322580645161   precision 0.4967377720613723   recall 0.5109143896959168
deviation 2/5   iterations 600/2000   F1 0.48438275976705364   accuracy 0.6012903225806452   precision 0.49422208754996316   recall 0.5033007342364476
deviation 2/5   iterations 610/2000   F1 0.5135423808061076   accuracy 0.6270967741935484   precision 0.5208657785786301   recall 0.5279062373855011
deviation 2/5   iterations 620/2000   F1 0.48724596479301213   accuracy 0.5716129032258065   precision 0.5111006340375672   recall 0.512343985186007
deviation 2/5   iterations 630/2000   F1 0.49617838322613067   accuracy 0.6154838709677419   precision 0.5023945859203534   recall 0.5110350634596734
deviation 2/5   iterations 640/2000   F1 0.4919662715385555   accuracy 0.6012903225806452   precision 0.5020722011224587   recall 0.5104835639061255
deviation 2/5   iterations 650/2000   F1 0.5111114676979441   accuracy 0.6167741935483871   precision 0.5226071101253051   recall 0.5260287172468906
deviation 2/5   iterations 660/2000   F1 0.49924333733184084   accuracy 0.6012903225806452   precision 0.5097711226673224   recall 0.5210671029575462
deviation 2/5   iterations 670/2000   F1 0.5022681884042014   accuracy 0.6141935483870967   precision 0.5098495079519748   recall 0.5174627617127592
deviation 2/5   iterations 680/2000   F1 0.5082810464744195   accuracy 0.6116129032258064   precision 0.5176888866899751   recall 0.5258606739175645
deviation 2/5   iterations 690/2000   F1 0.5000060798439746   accuracy 0.6141935483870967   precision 0.5071840273453176   recall 0.5148009848288125
deviation 2/5   iterations 700/2000   F1 0.5114994906508616   accuracy 0.632258064516129   precision 0.5146775547718337   recall 0.5245464343643537
deviation 2/5   iterations 710/2000   F1 0.491485899121995   accuracy 0.5922580645161291   precision 0.5079863147605083   recall 0.5075654677666878
deviation 2/5   iterations 720/2000   F1 0.48472725418682766   accuracy 0.6141935483870967   precision 0.4899985222120519   recall 0.4996963929916605
deviation 2/5   iterations 730/2000   F1 0.5080881578065634   accuracy 0.607741935483871   precision 0.5230827906089792   recall 0.5257088295070341
deviation 2/5   iterations 740/2000   F1 0.4978470094474436   accuracy 0.5987096774193549   precision 0.5074691712989585   recall 0.5223457539770391
deviation 2/5   iterations 750/2000   F1 0.5095962403413811   accuracy 0.6270967741935484   precision 0.5124740069909782   recall 0.5252444605015546
deviation 2/5   iterations 760/2000   F1 0.4982183512335845   accuracy 0.6025806451612903   precision 0.5112150042994458   recall 0.5139640406910295
deviation 2/5   iterations 770/2000   F1 0.494273606761473   accuracy 0.6116129032258064   precision 0.5005037864918465   recall 0.5124246525291012
deviation 2/5   iterations 780/2000   F1 0.5062034261849351   accuracy 0.6090322580645161   precision 0.5168653750620963   recall 0.5244775480531109
deviation 2/5   iterations 790/2000   F1 0.4915689983357762   accuracy 0.5987096774193549   precision 0.502560835133934   recall 0.5091640065260371
deviation 2/5   iterations 800/2000   F1 0.4942125835148392   accuracy 0.6   precision 0.5039671687008987   recall 0.5142494852752647
deviation 2/5   iterations 810/2000   F1 0.4988997012032626   accuracy 0.6103225806451613   precision 0.5081111813901188   recall 0.5127898645164976
deviation 2/5   iterations 820/2000   F1 0.500850314906762   accuracy 0.6103225806451613   precision 0.5072452007605591   recall 0.5240487675813492
deviation 2/5   iterations 830/2000   F1 0.5022238971818803   accuracy 0.5935483870967742   precision 0.5215476219360875   recall 0.5242276920025938
deviation 2/5   iterations 840/2000   F1 0.5003392720044418   accuracy 0.6051612903225806   precision 0.508095063538612   recall 0.5274085706024967
deviation 2/5   iterations 850/2000   F1 0.5108835974267086   accuracy 0.607741935483871   precision 0.5269294117864048   recall 0.5309688147905619
deviation 2/5   iterations 860/2000   F1 0.5023806426799955   accuracy 0.6103225806451613   precision 0.5112900434579325   recall 0.5206480581996064
deviation 2/5   iterations 870/2000   F1 0.49846691196075293   accuracy 0.6051612903225806   precision 0.5092440290860634   recall 0.5161496675376449
deviation 2/5   iterations 880/2000   F1 0.4992346549032401   accuracy 0.6051612903225806   precision 0.5090442893021918   recall 0.518747875937226
deviation 2/5   iterations 890/2000   F1 0.4947615789530844   accuracy 0.5987096774193549   precision 0.5070364994893297   recall 0.5135579223430379
deviation 2/5   iterations 900/2000   F1 0.5124411664057735   accuracy 0.6374193548387097   precision 0.51344204581064   recall 0.5280516185910573
deviation 2/5   iterations 910/2000   F1 0.4985652723205698   accuracy 0.607741935483871   precision 0.506084388591972   recall 0.5234681426990573
deviation 2/5   iterations 920/2000   F1 0.5069329742838092   accuracy 0.6180645161290322   precision 0.5161440788400036   recall 0.5204670884603321
deviation 2/5   iterations 930/2000   F1 0.5009498269417961   accuracy 0.6193548387096774   precision 0.5061211386799419   recall 0.5166375986068276
deviation 2/5   iterations 940/2000   F1 0.4970405711120706   accuracy 0.5961290322580645   precision 0.5102014887809033   recall 0.5217651290947471
deviation 2/5   iterations 950/2000   F1 0.5106831846379933   accuracy 0.632258064516129   precision 0.5127684337520403   recall 0.5278835752617312
deviation 2/5   iterations 960/2000   F1 0.4966435371545234   accuracy 0.6116129032258064   precision 0.503264490654578   recall 0.5159524988795748
deviation 2/5   iterations 970/2000   F1 0.5010087057358947   accuracy 0.5948387096774194   precision 0.5131093852631173   recall 0.525658187432617
deviation 2/5   iterations 980/2000   F1 0.49842366478476774   accuracy 0.6116129032258064   precision 0.506154872980486   recall 0.514283928430886
deviation 2/5   iterations 990/2000   F1 0.4902571232342416   accuracy 0.6051612903225806   precision 0.49737351233032917   recall 0.5106989768010212
deviation 2/5   iterations 1000/2000   F1 0.5058816507332119   accuracy 0.6348387096774194   precision 0.5080254928566972   recall 0.5204788694921835
deviation 2/5   iterations 1010/2000   F1 0.5042154649629387   accuracy 0.6064516129032258   precision 0.5156709548264057   recall 0.5238969231708189
deviation 2/5   iterations 1020/2000   F1 0.5030622694055261   accuracy 0.6167741935483871   precision 0.509195295697144   recall 0.5222465969589557
deviation 2/5   iterations 1030/2000   F1 0.4948947401110087   accuracy 0.6154838709677419   precision 0.4999870934434692   recall 0.5153018423079434
deviation 2/5   iterations 1040/2000   F1 0.5029128807347975   accuracy 0.6038709677419355   precision 0.516150471225968   recall 0.520781658373311
deviation 2/5   iterations 1050/2000   F1 0.5055982829592645   accuracy 0.6245161290322581   precision 0.509354863381709   recall 0.5280009765166401
deviation 2/5   iterations 1060/2000   F1 0.4970315568461956   accuracy 0.5922580645161291   precision 0.5146223035488776   recall 0.5164168678850544
deviation 2/5   iterations 1070/2000   F1 0.5005010679741786   accuracy 0.6180645161290322   precision 0.5055250711303255   recall 0.5210788839893977
deviation 2/5   iterations 1080/2000   F1 0.4964337390760094   accuracy 0.6116129032258064   precision 0.5043277709944377   recall 0.5176210693282636
deviation 2/5   iterations 1090/2000   F1 0.5051640152076833   accuracy 0.6103225806451613   precision 0.5132203460757851   recall 0.525908043483134
deviation 2/5   iterations 1100/2000   F1 0.5036488868447204   accuracy 0.6064516129032258   precision 0.5140008552062832   recall 0.5272976325525618
deviation 2/5   iterations 1110/2000   F1 0.5064403146446029   accuracy 0.6180645161290322   precision 0.5119234400364054   recall 0.5247974357929673
deviation 2/5   iterations 1120/2000   F1 0.5048314301090211   accuracy 0.6103225806451613   precision 0.5138453500522466   recall 0.5241759045500799
deviation 2/5   iterations 1130/2000   F1 0.49687559586657143   accuracy 0.5909677419354838   precision 0.513652781474268   recall 0.5243224311337329
deviation 2/5   iterations 1140/2000   F1 0.4914589480533517   accuracy 0.6103225806451613   precision 0.49982955880552166   recall 0.5073391737798737
deviation 2/5   iterations 1150/2000   F1 0.4878532703952468   accuracy 0.6051612903225806   precision 0.49682990589247084   recall 0.5045729220509664
deviation 2/5   iterations 1160/2000   F1 0.5011673986648547   accuracy 0.5987096774193549   precision 0.5141292770603115   recall 0.5232753919279315
deviation 2/5   iterations 1170/2000   F1 0.5090961692099925   accuracy 0.6129032258064516   precision 0.5172869914249224   recall 0.5299529462315342
deviation 2/5   iterations 1180/2000   F1 0.4951770207186854   accuracy 0.6180645161290322   precision 0.5004409761553575   recall 0.5114885513732347
deviation 2/5   iterations 1190/2000   F1 0.5035902082565434   accuracy 0.5987096774193549   precision 0.518308947163414   recall 0.5268668067627704
deviation 2/5   iterations 1200/2000   F1 0.49381956914957675   accuracy 0.632258064516129   precision 0.4961022927689594   recall 0.5110468444915249
deviation 2/5   iterations 1210/2000   F1 0.5031032522879788   accuracy 0.5922580645161291   precision 0.5200428223237347   recall 0.5287325458695293
deviation 2/5   iterations 1220/2000   F1 0.4995170924028985   accuracy 0.6064516129032258   precision 0.5084192194388807   recall 0.5228401482511958
deviation 2/5   iterations 1230/2000   F1 0.49966012817517197   accuracy 0.6219354838709678   precision 0.5044605769297896   recall 0.5213578653686587
deviation 2/5   iterations 1240/2000   F1 0.5013618570381215   accuracy 0.5909677419354838   precision 0.521219543800189   recall 0.5270477765020448
deviation 2/5   iterations 1250/2000   F1 0.5064990859361513   accuracy 0.6193548387096774   precision 0.51349798073936   recall 0.5228272218412476
deviation 2/5   iterations 1260/2000   F1 0.496999525267477   accuracy 0.6103225806451613   precision 0.504995492257289   recall 0.5178591443469291
deviation 2/5   iterations 1270/2000   F1 0.5046759332578037   accuracy 0.6012903225806452   precision 0.5181565642973327   recall 0.5272567261919664
deviation 2/5   iterations 1280/2000   F1 0.5084091675092687   accuracy 0.6361290322580645   precision 0.5091324200913242   recall 0.5272329186900998
deviation 2/5   iterations 1290/2000   F1 0.49911789171089777   accuracy 0.5987096774193549   precision 0.5112597071087978   recall 0.5231482549592008
deviation 2/5   iterations 1300/2000   F1 0.5115417261146266   accuracy 0.6258064516129033   precision 0.5151576756054075   recall 0.5314814533015442
deviation 2/5   iterations 1310/2000   F1 0.5006871313431244   accuracy 0.5909677419354838   precision 0.517130857648099   recall 0.5287163469507336
deviation 2/5   iterations 1320/2000   F1 0.5087819724553158   accuracy 0.6361290322580645   precision 0.5095923261390887   recall 0.524698278774884
deviation 2/5   iterations 1330/2000   F1 0.4906476448270822   accuracy 0.5741935483870968   precision 0.5124509477450654   recall 0.520655666782677
deviation 2/5   iterations 1340/2000   F1 0.5031039245277786   accuracy 0.6141935483870967   precision 0.5085967961620204   recall 0.5243913174449757
deviation 2/5   iterations 1350/2000   F1 0.5035027052234902   accuracy 0.5961290322580645   precision 0.5156612314984319   recall 0.533214737612695
deviation 2/5   iterations 1360/2000   F1 0.4970292484878011   accuracy 0.5883870967741935   precision 0.5125133689839573   recall 0.5247350126866986
deviation 2/5   iterations 1370/2000   F1 0.5017104377104378   accuracy 0.6012903225806452   precision 0.5103804033074372   recall 0.5280592271741281
deviation 2/5   iterations 1380/2000   F1 0.5012344483710122   accuracy 0.6012903225806452   precision 0.5118220082355968   recall 0.5279956586897626
deviation 2/5   iterations 1390/2000   F1 0.4994752714949908   accuracy 0.5922580645161291   precision 0.5170169084291695   recall 0.519944714235528
deviation 2/5   iterations 1400/2000   F1 0.49105484833121676   accuracy 0.6038709677419355   precision 0.5005051471120968   recall 0.5178020390675379
deviation 2/5   iterations 1410/2000   F1 0.5028781799411038   accuracy 0.5961290322580645   precision 0.51974707090899   recall 0.5246176114317898
deviation 2/5   iterations 1420/2000   F1 0.4984890625138192   accuracy 0.607741935483871   precision 0.50752545819909   recall 0.5149345850025174
deviation 2/5   iterations 1430/2000   F1 0.49780352663020916   accuracy 0.6025806451612903   precision 0.5065817324973042   recall 0.5224975983875695
deviation 2/5   iterations 1440/2000   F1 0.49892585645767173   accuracy 0.6219354838709678   precision 0.5047766039106767   recall 0.5256246442169287
deviation 2/5   iterations 1450/2000   F1 0.5083549489545627   accuracy 0.6141935483870967   precision 0.5166422423231761   recall 0.5271166628132875
deviation 2/5   iterations 1460/2000   F1 0.5041196695807394   accuracy 0.6012903225806452   precision 0.5163030192353548   recall 0.5272567261919664
deviation 2/5   iterations 1470/2000   F1 0.494715310556503   accuracy 0.6051612903225806   precision 0.5032699173521116   recall 0.5185571704841301
deviation 2/5   iterations 1480/2000   F1 0.49813712893532164   accuracy 0.607741935483871   precision 0.5071809580889592   recall 0.5191377953664219
deviation 2/5   iterations 1490/2000   F1 0.49449447811232083   accuracy 0.5793548387096774   precision 0.5162010277915199   recall 0.5217533480628956
deviation 2/5   iterations 1500/2000   F1 0.5034441252841585   accuracy 0.6012903225806452   precision 0.5148550646910337   recall 0.5323895745067634
deviation 2/5   iterations 1510/2000   F1 0.5086398617321256   accuracy 0.607741935483871   precision 0.5174496826689317   recall 0.5350448881857358
deviation 2/5   iterations 1520/2000   F1 0.4850554931063397   accuracy 0.5935483870967742   precision 0.4961905270061955   recall 0.5080027567614532
deviation 2/5   iterations 1530/2000   F1 0.5021303451968137   accuracy 0.6012903225806452   precision 0.5126911628615822   recall 0.5255245872589122
deviation 2/5   iterations 1540/2000   F1 0.49792741932308954   accuracy 0.6103225806451613   precision 0.5049742770028138   recall 0.5196548517643486
deviation 2/5   iterations 1550/2000   F1 0.4897427167515507   accuracy 0.6193548387096774   precision 0.49556743754709326   recall 0.5137215477854197
deviation 2/5   iterations 1560/2000   F1 0.4896494922810712   accuracy 0.5767741935483871   precision 0.5139763857865572   recall 0.5125755969996985
deviation 2/5   iterations 1570/2000   F1 0.5079580380904908   accuracy 0.6283870967741936   precision 0.5099060351870826   recall 0.5266749559315778
deviation 2/5   iterations 1580/2000   F1 0.49575903563434753   accuracy 0.6090322580645161   precision 0.5051962943414083   recall 0.5248986381290804
deviation 2/5   iterations 1590/2000   F1 0.49902998304466334   accuracy 0.5974193548387097   precision 0.512508464999678   recall 0.5191195511295964
deviation 2/5   iterations 1600/2000   F1 0.48771600250476305   accuracy 0.5754838709677419   precision 0.5112187097061046   recall 0.5186218843465921
deviation 2/5   iterations 1610/2000   F1 0.5131881232001285   accuracy 0.6258064516129033   precision 0.5173596025530983   recall 0.5315450217859096
deviation 2/5   iterations 1620/2000   F1 0.4951284056810539   accuracy 0.5832258064516129   precision 0.5141806874857723   recall 0.5280312472234808
deviation 2/5   iterations 1630/2000   F1 0.5208867391414644   accuracy 0.6374193548387097   precision 0.522355368736768   recall 0.542035867024221
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deviation 2/5   iterations 1640/2000   F1 0.5007740570651867   accuracy 0.5922580645161291   precision 0.5168957979865433   recall 0.5294079098829604
deviation 2/5   iterations 1650/2000   F1 0.4872374203272165   accuracy 0.5729032258064516   precision 0.5109609046266267   recall 0.5113034091851797
deviation 2/5   iterations 1660/2000   F1 0.5017696377696378   accuracy 0.6012903225806452   precision 0.5135192128398438   recall 0.5280592271741281
deviation 2/5   iterations 1670/2000   F1 0.5034251439588556   accuracy 0.6090322580645161   precision 0.5135402526803564   recall 0.5234843416178531
deviation 2/5   iterations 1680/2000   F1 0.5061174400647811   accuracy 0.6103225806451613   precision 0.5161189515322134   recall 0.5327730307309851
deviation 2/5   iterations 1690/2000   F1 0.49366800483634315   accuracy 0.5935483870967742   precision 0.5092009589011945   recall 0.5108552390984958
deviation 2/5   iterations 1700/2000   F1 0.49875573099200327   accuracy 0.607741935483871   precision 0.5084598495925516   recall 0.5208699342994761
deviation 2/5   iterations 1710/2000   F1 0.4930667705843082   accuracy 0.6   precision 0.5039786967418546   recall 0.5184526956391692
deviation 2/5   iterations 1720/2000   F1 0.4992618266553716   accuracy 0.6090322580645161   precision 0.5079252997317564   recall 0.5250257750978112
deviation 2/5   iterations 1730/2000   F1 0.50238141746171   accuracy 0.6103225806451613   precision 0.5091618945882722   recall 0.5275130454474575
deviation 2/5   iterations 1740/2000   F1 0.498758234192473   accuracy 0.6025806451612903   precision 0.5098791879003537   recall 0.5182943880236648
deviation 2/5   iterations 1750/2000   F1 0.4964511039086877   accuracy 0.584516129032258   precision 0.5131223235928398   recall 0.5270542397070188
deviation 2/5   iterations 1760/2000   F1 0.5049828775119374   accuracy 0.6154838709677419   precision 0.510339960531568   recall 0.5285471582433107
deviation 2/5   iterations 1770/2000   F1 0.4938592262639523   accuracy 0.5806451612903226   precision 0.5154225701369103   recall 0.5223813425107572
deviation 2/5   iterations 1780/2000   F1 0.49526845819481763   accuracy 0.5935483870967742   precision 0.5091398002582213   recall 0.5143830854489694
deviation 2/5   iterations 1790/2000   F1 0.4854048359183651   accuracy 0.6090322580645161   precision 0.49813381735685924   recall 0.5185818779259298
deviation 2/5   iterations 1800/2000   F1 0.502164263192887   accuracy 0.6051612903225806   precision 0.5125258636494592   recall 0.5231417917542267
deviation 2/5   iterations 1810/2000   F1 0.48822505936712807   accuracy 0.5690322580645162   precision 0.5155056096015506   recall 0.5178894150537697
deviation 2/5   iterations 1820/2000   F1 0.5042061996413763   accuracy 0.6   precision 0.5178772741497081   recall 0.5291633716593207
deviation 2/5   iterations 1830/2000   F1 0.5000689183318903   accuracy 0.6296774193548387   precision 0.502246480710313   recall 0.523647967060235
deviation 2/5   iterations 1840/2000   F1 0.49045201968655733   accuracy 0.5974193548387097   precision 0.5013313255029065   recall 0.5110070835090261
deviation 2/5   iterations 1850/2000   F1 0.4865479048062266   accuracy 0.5690322580645162   precision 0.512565575769016   recall 0.5160937076363503
deviation 2/5   iterations 1860/2000   F1 0.5157011830509098   accuracy 0.6361290322580645   precision 0.5161530886669644   recall 0.5334861104088853
deviation 2/5   iterations 1870/2000   F1 0.491704478765074   accuracy 0.5780645161290323   precision 0.5133243656122088   recall 0.5174703702958299
deviation 2/5   iterations 1880/2000   F1 0.4935459048616744   accuracy 0.6025806451612903   precision 0.5039562927507749   recall 0.5171740446196764
deviation 2/5   iterations 1890/2000   F1 0.5070715918687819   accuracy 0.6412903225806451   precision 0.5068759969360266   recall 0.5272738250506953
deviation 2/5   iterations 1900/2000   F1 0.4935731879109631   accuracy 0.5806451612903226   precision 0.513080808080808   recall 0.5223177740263919
deviation 2/5   iterations 1910/2000   F1 0.49390222869856837   accuracy 0.6012903225806452   precision 0.5042619435938898   recall 0.517412119638342
deviation 2/5   iterations 1920/2000   F1 0.5044783820952844   accuracy 0.6167741935483871   precision 0.5097671280250186   recall 0.5274430137581181
deviation 2/5   iterations 1930/2000   F1 0.4964365065564857   accuracy 0.5909677419354838   precision 0.5118827027492889   recall 0.5233927931828405
deviation 2/5   iterations 1940/2000   F1 0.4919387923235699   accuracy 0.5780645161290323   precision 0.5118269544075996   recall 0.5192660777132493
deviation 2/5   iterations 1950/2000   F1 0.4941893620554609   accuracy 0.6103225806451613   precision 0.501466717163669   recall 0.5220623547108337
deviation 2/5   iterations 1960/2000   F1 0.49683385157837706   accuracy 0.6038709677419355   precision 0.5052055514853592   recall 0.5231255928354309
deviation 2/5   iterations 1970/2000   F1 0.5011921490717762   accuracy 0.6129032258064516   precision 0.5060116586414664   recall 0.5227701165618565
deviation 2/5   iterations 1980/2000   F1 0.48003310434765245   accuracy 0.5483870967741935   precision 0.5179510257729013   recall 0.5088743894930213
deviation 2/5   iterations 1990/2000   F1 0.5069447207750685   accuracy 0.6   precision 0.5221812625404217   recall 0.5386901357911184
deviation 2/5   iterations 2000/2000   F1 0.506336864100695   accuracy 0.6116129032258064   precision 0.5159988648982919   recall 0.5394635114445361

deviation 3/5   iterations 10/2000   F1 0.31886936592818943   accuracy 0.39147286821705424   precision 0.35518338507286645   recall 0.35066048221141083
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deviation 3/5   iterations 20/2000   F1 0.3448348911562545   accuracy 0.3875968992248062   precision 0.39004996991593016   recall 0.3944926735651922
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deviation 3/5   iterations 30/2000   F1 0.3204042303512458   accuracy 0.3772609819121447   precision 0.3905065082634834   recall 0.37540391905705994
deviation 3/5   iterations 40/2000   F1 0.4232896113478926   accuracy 0.541343669250646   precision 0.4257569934769161   recall 0.43298147131105846
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deviation 3/5   iterations 50/2000   F1 0.31236551956686326   accuracy 0.42506459948320413   precision 0.44181146646520614   recall 0.38821123264516144
deviation 3/5   iterations 60/2000   F1 0.4194966556684845   accuracy 0.5193798449612403   precision 0.4217307695929695   recall 0.4319833305992066
deviation 3/5   iterations 70/2000   F1 0.3997685875879955   accuracy 0.5284237726098191   precision 0.45340104170379397   recall 0.4246115592974696
deviation 3/5   iterations 80/2000   F1 0.4056012745973354   accuracy 0.5167958656330749   precision 0.46309777927573686   recall 0.44126226801016816
deviation 3/5   iterations 90/2000   F1 0.4439745196324143   accuracy 0.5542635658914729   precision 0.4592085177082783   recall 0.4545601667333597
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deviation 3/5   iterations 100/2000   F1 0.4411708408691977   accuracy 0.5788113695090439   precision 0.4858709532476105   recall 0.44956991407955565
deviation 3/5   iterations 110/2000   F1 0.43749274778545777   accuracy 0.5387596899224806   precision 0.4742369325342081   recall 0.45702702948651136
deviation 3/5   iterations 120/2000   F1 0.46819327615024614   accuracy 0.5710594315245479   precision 0.47307187382375354   recall 0.4851170866195118
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deviation 3/5   iterations 130/2000   F1 0.406173924373296   accuracy 0.5051679586563308   precision 0.48701154023251253   recall 0.44826626442620765
deviation 3/5   iterations 140/2000   F1 0.4586348929715425   accuracy 0.562015503875969   precision 0.4881925685502239   recall 0.473688436955916
deviation 3/5   iterations 150/2000   F1 0.42808946222600847   accuracy 0.524547803617571   precision 0.48645511038749084   recall 0.4548633391647707
deviation 3/5   iterations 160/2000   F1 0.45968623490060884   accuracy 0.5594315245478036   precision 0.48109814298844134   recall 0.4774902258044338
deviation 3/5   iterations 170/2000   F1 0.4585800619988151   accuracy 0.5542635658914729   precision 0.485326722805844   recall 0.4755828547381842
deviation 3/5   iterations 180/2000   F1 0.43149569975289626   accuracy 0.5103359173126615   precision 0.49834733168066503   recall 0.46034557066143483
deviation 3/5   iterations 190/2000   F1 0.4803241288251095   accuracy 0.6020671834625323   precision 0.496055454628078   recall 0.48791499595947724
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deviation 3/5   iterations 200/2000   F1 0.4604596110299483   accuracy 0.541343669250646   precision 0.5019129668780832   recall 0.48096133698878285
deviation 3/5   iterations 210/2000   F1 0.4725766846815465   accuracy 0.5788113695090439   precision 0.5029634213421342   recall 0.4861559727879377
deviation 3/5   iterations 220/2000   F1 0.4528358784573691   accuracy 0.5322997416020672   precision 0.4979597634221912   recall 0.4753135821987118
deviation 3/5   iterations 230/2000   F1 0.478414698699731   accuracy 0.5697674418604651   precision 0.50164561322392   recall 0.5004626289968772
deviation 3/5   iterations 240/2000   F1 0.4512949701159401   accuracy 0.5503875968992248   precision 0.509234932482911   recall 0.4827611056168964
deviation 3/5   iterations 250/2000   F1 0.4875737134614569   accuracy 0.5917312661498708   precision 0.5066825159383125   recall 0.502529046714543
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deviation 3/5   iterations 260/2000   F1 0.47016010185356355   accuracy 0.5775193798449613   precision 0.5074474263622336   recall 0.48646336733406415
deviation 3/5   iterations 270/2000   F1 0.4739026463331024   accuracy 0.5671834625322998   precision 0.5174277343732231   recall 0.49315996920397726
deviation 3/5   iterations 280/2000   F1 0.48590113607042146   accuracy 0.5878552971576227   precision 0.5143664410792014   recall 0.5032475850528613
deviation 3/5   iterations 290/2000   F1 0.4955090681344784   accuracy 0.58656330749354   precision 0.5295554139112421   recall 0.523713035898059
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deviation 3/5   iterations 300/2000   F1 0.49204473451787334   accuracy 0.5904392764857881   precision 0.5202221033494516   recall 0.5152128122079619
deviation 3/5   iterations 310/2000   F1 0.488508028098771   accuracy 0.582687338501292   precision 0.5266167917046832   recall 0.5119873215223979
deviation 3/5   iterations 320/2000   F1 0.4833818845362858   accuracy 0.5917312661498708   precision 0.5176915238794967   recall 0.5010713103697843
deviation 3/5   iterations 330/2000   F1 0.4763712650293246   accuracy 0.5542635658914729   precision 0.5205813528206549   recall 0.5081851637512349
deviation 3/5   iterations 340/2000   F1 0.5037021811568864   accuracy 0.6149870801033591   precision 0.5282408830770141   recall 0.5213270081955755
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deviation 3/5   iterations 350/2000   F1 0.4955664272708724   accuracy 0.5930232558139535   precision 0.528176655408237   recall 0.5174634452997164
deviation 3/5   iterations 360/2000   F1 0.5073044412063602   accuracy 0.6149870801033591   precision 0.5267112289584199   recall 0.5247176532519015
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deviation 3/5   iterations 370/2000   F1 0.49896995937714034   accuracy 0.5943152454780362   precision 0.5244345482245399   recall 0.5215470910490431
deviation 3/5   iterations 380/2000   F1 0.4833901391090849   accuracy 0.5891472868217055   precision 0.5250814947875114   recall 0.5041442310459228
deviation 3/5   iterations 390/2000   F1 0.4860095858106779   accuracy 0.5788113695090439   precision 0.5378835604516539   recall 0.5206911905125557
deviation 3/5   iterations 400/2000   F1 0.5101140884114914   accuracy 0.6124031007751938   precision 0.5322339297079415   recall 0.5312491007510527
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deviation 3/5   iterations 410/2000   F1 0.4904445876139872   accuracy 0.5839793281653747   precision 0.5281470752884088   recall 0.5162067308050983
deviation 3/5   iterations 420/2000   F1 0.4914086668313526   accuracy 0.5981912144702842   precision 0.5281896316379074   recall 0.5142509078981338
deviation 3/5   iterations 430/2000   F1 0.5128084941985972   accuracy 0.6085271317829457   precision 0.5371451465201466   recall 0.5361550340847632
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deviation 3/5   iterations 440/2000   F1 0.4811140287844243   accuracy 0.603359173126615   precision 0.5235854745784926   recall 0.5004591447274519
deviation 3/5   iterations 450/2000   F1 0.5083835676966914   accuracy 0.603359173126615   precision 0.5348015706989545   recall 0.5334509130794474
deviation 3/5   iterations 460/2000   F1 0.4838194537074088   accuracy 0.6046511627906976   precision 0.5287109018879809   recall 0.5046785540101523
deviation 3/5   iterations 470/2000   F1 0.4750692299711908   accuracy 0.5581395348837209   precision 0.5302094063563833   recall 0.5060088890681579
deviation 3/5   iterations 480/2000   F1 0.5096108665814677   accuracy 0.6149870801033591   precision 0.5322260344398385   recall 0.5282440618416012
deviation 3/5   iterations 490/2000   F1 0.49576162358116393   accuracy 0.5891472868217055   precision 0.5306505987141573   recall 0.5197754835161673
deviation 3/5   iterations 500/2000   F1 0.4891890888675455   accuracy 0.5930232558139535   precision 0.5310292147860206   recall 0.5114789051261309
deviation 3/5   iterations 510/2000   F1 0.502728892811088   accuracy 0.6136950904392765   precision 0.5277789806080448   recall 0.5188368623243815
deviation 3/5   iterations 520/2000   F1 0.5012090051567969   accuracy 0.603359173126615   precision 0.5444444444444444   recall 0.5329256902071288
deviation 3/5   iterations 530/2000   F1 0.4978351612438568   accuracy 0.6020671834625323   precision 0.5404384477502221   recall 0.5233827271565352
deviation 3/5   iterations 540/2000   F1 0.5085401105925621   accuracy 0.6111111111111112   precision 0.534267156692786   recall 0.530623981824739
deviation 3/5   iterations 550/2000   F1 0.4931460909144549   accuracy 0.5981912144702842   precision 0.5325083284404325   recall 0.5133183944256937
deviation 3/5   iterations 560/2000   F1 0.4992592592592593   accuracy 0.6124031007751938   precision 0.5335728363192732   recall 0.5174149934590014
deviation 3/5   iterations 570/2000   F1 0.49583547108815207   accuracy 0.6020671834625323   precision 0.5365432098765432   recall 0.5153973965046957
deviation 3/5   iterations 580/2000   F1 0.4975920377338274   accuracy 0.6020671834625323   precision 0.5393684790968322   recall 0.5189238050943955
deviation 3/5   iterations 590/2000   F1 0.4916586574976219   accuracy 0.5749354005167958   precision 0.549421513783595   recall 0.5371088630878055
deviation 3/5   iterations 600/2000   F1 0.500625068691065   accuracy 0.6136950904392765   precision 0.5228983181569389   recall 0.5143779402622416
deviation 3/5   iterations 610/2000   F1 0.4951311574206236   accuracy 0.5904392764857881   precision 0.5479156786975868   recall 0.5384399359911013
deviation 3/5   iterations 620/2000   F1 0.5194581494275604   accuracy 0.624031007751938   precision 0.5378244813728684   recall 0.5409446338110717
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deviation 3/5   iterations 630/2000   F1 0.5034466332635582   accuracy 0.6007751937984496   precision 0.5477732224685262   recall 0.53945713770628
deviation 3/5   iterations 640/2000   F1 0.5029939983279711   accuracy 0.6007751937984496   precision 0.5352002164502164   recall 0.52867426663712
deviation 3/5   iterations 650/2000   F1 0.5046311506204576   accuracy 0.6175710594315246   precision 0.5324717169744755   recall 0.5236455230540171
deviation 3/5   iterations 660/2000   F1 0.49512243829767355   accuracy 0.5749354005167958   precision 0.5465861235866165   recall 0.5414320216165716
deviation 3/5   iterations 670/2000   F1 0.5170115000979121   accuracy 0.6343669250645995   precision 0.5328870774615456   recall 0.5333834002354054
deviation 3/5   iterations 680/2000   F1 0.5055164096118269   accuracy 0.5891472868217055   precision 0.5469080848827684   recall 0.5453928571165055
deviation 3/5   iterations 690/2000   F1 0.5057399468148243   accuracy 0.6136950904392765   precision 0.5346862812821874   recall 0.5286193381544145
deviation 3/5   iterations 700/2000   F1 0.5043306485652238   accuracy 0.6020671834625323   precision 0.534695298573975   recall 0.5284347538576807
deviation 3/5   iterations 710/2000   F1 0.4900875147036185   accuracy 0.5839793281653747   precision 0.5491076729175243   recall 0.5332456691145914
deviation 3/5   iterations 720/2000   F1 0.5059652774266673   accuracy 0.6020671834625323   precision 0.5407297785614243   recall 0.5346908210980138
deviation 3/5   iterations 730/2000   F1 0.5096058096651891   accuracy 0.6124031007751938   precision 0.5336875431118343   recall 0.5321816142234929
deviation 3/5   iterations 740/2000   F1 0.5054720188149169   accuracy 0.5956072351421189   precision 0.5512559747514665   recall 0.5436700703469898
deviation 3/5   iterations 750/2000   F1 0.5102235474512703   accuracy 0.6085271317829457   precision 0.5429136219110838   recall 0.5408176014469638
deviation 3/5   iterations 760/2000   F1 0.5094616426893656   accuracy 0.6072351421188631   precision 0.5420675982224205   recall 0.5401246007539631
deviation 3/5   iterations 770/2000   F1 0.5034515622750917   accuracy 0.5904392764857881   precision 0.5518364792054719   recall 0.5391009223967936
deviation 3/5   iterations 780/2000   F1 0.516319886144014   accuracy 0.6162790697674418   precision 0.5397267430178823   recall 0.5403809200094543
deviation 3/5   iterations 790/2000   F1 0.50650429048939   accuracy 0.5943152454780362   precision 0.5436058700209644   recall 0.5419766744148621
deviation 3/5   iterations 800/2000   F1 0.4951767003811036   accuracy 0.5930232558139535   precision 0.5485810485810486   recall 0.5309759750195099
deviation 3/5   iterations 810/2000   F1 0.5035958332813718   accuracy 0.6098191214470284   precision 0.5389494604358721   recall 0.5274728495478526
deviation 3/5   iterations 820/2000   F1 0.5007340892704988   accuracy 0.5968992248062015   precision 0.5527903417973675   recall 0.538310649099718
deviation 3/5   iterations 830/2000   F1 0.5092443888192985   accuracy 0.6124031007751938   precision 0.5381885775524892   recall 0.5340466411683731
deviation 3/5   iterations 840/2000   F1 0.49925012681375497   accuracy 0.5813953488372093   precision 0.5528446130370203   recall 0.5395734713136818
deviation 3/5   iterations 850/2000   F1 0.4942351698644605   accuracy 0.5904392764857881   precision 0.5499875813004299   recall 0.532251750517455
deviation 3/5   iterations 860/2000   F1 0.5102944028506782   accuracy 0.6007751937984496   precision 0.5464255070178166   recall 0.5454416778798655
deviation 3/5   iterations 870/2000   F1 0.49883188568519493   accuracy 0.5852713178294574   precision 0.548150029609093   recall 0.5328025110350912
deviation 3/5   iterations 880/2000   F1 0.502751518089662   accuracy 0.6046511627906976   precision 0.5389760661486892   recall 0.530889032249496
deviation 3/5   iterations 890/2000   F1 0.506406577120284   accuracy 0.5968992248062015   precision 0.5417142676696795   recall 0.5398362672111637
deviation 3/5   iterations 900/2000   F1 0.48701849924013185   accuracy 0.5684754521963824   precision 0.5520680429609621   recall 0.5319145962112956
deviation 3/5   iterations 910/2000   F1 0.5105428176547665   accuracy 0.6098191214470284   precision 0.5385755799048209   recall 0.5379163117835778
deviation 3/5   iterations 920/2000   F1 0.49719771537422036   accuracy 0.6007751937984496   precision 0.5433810140437266   recall 0.5244868716417279
deviation 3/5   iterations 930/2000   F1 0.4822190681487258   accuracy 0.5568475452196382   precision 0.5458663748885401   recall 0.5256097082076024
deviation 3/5   iterations 940/2000   F1 0.5206776713911481   accuracy 0.624031007751938   precision 0.5408624779626913   recall 0.5445389241674584
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deviation 3/5   iterations 950/2000   F1 0.47625475746949525   accuracy 0.5607235142118863   precision 0.5501236686799539   recall 0.5243659469969656
deviation 3/5   iterations 960/2000   F1 0.5123595608243179   accuracy 0.6059431524547804   precision 0.5382318622737383   recall 0.5392279547609017
deviation 3/5   iterations 970/2000   F1 0.4916856959572626   accuracy 0.5852713178294574   precision 0.5423111889453227   recall 0.5258854573890656
deviation 3/5   iterations 980/2000   F1 0.46678772776970323   accuracy 0.537467700258398   precision 0.5321141439589863   recall 0.5046354720434928
deviation 3/5   iterations 990/2000   F1 0.48666797456232525   accuracy 0.5852713178294574   precision 0.535996428115831   recall 0.5171033767981598
deviation 3/5   iterations 1000/2000   F1 0.48254031929056485   accuracy 0.5645994832041343   precision 0.5299351200924267   recall 0.5191206048298205
deviation 3/5   iterations 1010/2000   F1 0.5005021948322228   accuracy 0.5956072351421189   precision 0.5477423793945059   recall 0.5340233580503307
deviation 3/5   iterations 1020/2000   F1 0.47412141091288557   accuracy 0.5490956072351422   precision 0.5413446510682828   recall 0.5179931772265854
deviation 3/5   iterations 1030/2000   F1 0.5067711013850431   accuracy 0.6149870801033591   precision 0.5488156120534087   recall 0.5356362878544353
deviation 3/5   iterations 1040/2000   F1 0.4687838133658568   accuracy 0.541343669250646   precision 0.5353831257789726   recall 0.5111733961846349
deviation 3/5   iterations 1050/2000   F1 0.5056742535605371   accuracy 0.582687338501292   precision 0.5449062188433467   recall 0.5408595766456882
deviation 3/5   iterations 1060/2000   F1 0.47870105085898146   accuracy 0.562015503875969   precision 0.5440872694556905   recall 0.5196675121553863
deviation 3/5   iterations 1070/2000   F1 0.5042134648205704   accuracy 0.5904392764857881   precision 0.5391261710044786   recall 0.5389651588634199
deviation 3/5   iterations 1080/2000   F1 0.4913224088983912   accuracy 0.582687338501292   precision 0.5297465805202749   recall 0.5234990607639372
deviation 3/5   iterations 1090/2000   F1 0.49295604960369976   accuracy 0.5775193798449613   precision 0.5342704646502114   recall 0.5295091385828402
deviation 3/5   iterations 1100/2000   F1 0.45992639227197446   accuracy 0.5490956072351422   precision 0.5310738288222201   recall 0.5032265564620941
deviation 3/5   iterations 1110/2000   F1 0.4599884636350959   accuracy 0.5271317829457365   precision 0.5277608733648967   recall 0.5008886116776806
deviation 3/5   iterations 1120/2000   F1 0.5303828992962946   accuracy 0.627906976744186   precision 0.5495047336418885   recall 0.5597910471328192
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deviation 3/5   iterations 1130/2000   F1 0.47705340772676047   accuracy 0.5503875968992248   precision 0.5339086674240454   recall 0.5176857826804592
deviation 3/5   iterations 1140/2000   F1 0.4814377499894742   accuracy 0.5813953488372093   precision 0.5464469810138106   recall 0.5231454689043711
deviation 3/5   iterations 1150/2000   F1 0.4952021972850853   accuracy 0.5788113695090439   precision 0.5351361155313724   recall 0.5319314026873473
deviation 3/5   iterations 1160/2000   F1 0.4798332967049775   accuracy 0.5684754521963824   precision 0.5356685591706867   recall 0.5222678839146365
deviation 3/5   iterations 1170/2000   F1 0.4920670189819516   accuracy 0.582687338501292   precision 0.5351476582791777   recall 0.5324169048882168
deviation 3/5   iterations 1180/2000   F1 0.44949475160445623   accuracy 0.5090439276485789   precision 0.5264992724160109   recall 0.49830730092175735
deviation 3/5   iterations 1190/2000   F1 0.4980594424557978   accuracy 0.599483204134367   precision 0.541847729298352   recall 0.53264383330632
deviation 3/5   iterations 1200/2000   F1 0.5045465056762676   accuracy 0.582687338501292   precision 0.5376242236024845   recall 0.5417242083514413
deviation 3/5   iterations 1210/2000   F1 0.4864062990660727   accuracy 0.5736434108527132   precision 0.5381710312561178   recall 0.5284984135096521
deviation 3/5   iterations 1220/2000   F1 0.47965491681334776   accuracy 0.5568475452196382   precision 0.5341107151054713   recall 0.5202861544397094
deviation 3/5   iterations 1230/2000   F1 0.5072370847519337   accuracy 0.5956072351421189   precision 0.5387215007215008   recall 0.5417371616354226
deviation 3/5   iterations 1240/2000   F1 0.48257634347502415   accuracy 0.5633074935400517   precision 0.5385842586435053   recall 0.524683671377153
deviation 3/5   iterations 1250/2000   F1 0.47935197837356197   accuracy 0.5607235142118863   precision 0.5368406021626528   recall 0.5215684065796452
deviation 3/5   iterations 1260/2000   F1 0.4944038454290991   accuracy 0.5762273901808785   precision 0.5389451444712474   recall 0.5350043233634857
deviation 3/5   iterations 1270/2000   F1 0.4856032716429845   accuracy 0.5801033591731266   precision 0.5339154976448904   recall 0.5258431132676963
deviation 3/5   iterations 1280/2000   F1 0.4780722561807482   accuracy 0.5581395348837209   precision 0.5298374046588332   recall 0.5192498917212037
deviation 3/5   iterations 1290/2000   F1 0.4816672235443204   accuracy 0.5581395348837209   precision 0.5331919560990125   recall 0.5227084185442165
deviation 3/5   iterations 1300/2000   F1 0.5000079142479557   accuracy 0.58656330749354   precision 0.5382960303516411   recall 0.5405483289074913
deviation 3/5   iterations 1310/2000   F1 0.4736188365689997   accuracy 0.5542635658914729   precision 0.5378216367696204   recall 0.5155095079973822
deviation 3/5   iterations 1320/2000   F1 0.49674980618060394   accuracy 0.5956072351421189   precision 0.5362973776704567   recall 0.5296323177548778
deviation 3/5   iterations 1330/2000   F1 0.4954337985638726   accuracy 0.5762273901808785   precision 0.536546645495624   recall 0.5322746647128523
deviation 3/5   iterations 1340/2000   F1 0.4786650110220852   accuracy 0.562015503875969   precision 0.5373626373626373   recall 0.523193920745086
deviation 3/5   iterations 1350/2000   F1 0.49345258249086865   accuracy 0.5710594315245479   precision 0.5407251696968194   recall 0.5384205060651293
deviation 3/5   iterations 1360/2000   F1 0.47596151742484344   accuracy 0.5658914728682171   precision 0.5300740767771128   recall 0.5191526191171287
deviation 3/5   iterations 1370/2000   F1 0.47094298599553036   accuracy 0.5542635658914729   precision 0.5226836645697638   recall 0.5128477311134355
deviation 3/5   iterations 1380/2000   F1 0.4807165129665556   accuracy 0.5671834625322998   precision 0.529150865220358   recall 0.5241687783388954
deviation 3/5   iterations 1390/2000   F1 0.4709439045680545   accuracy 0.5697674418604651   precision 0.5209128498727735   recall 0.5107202771937186
deviation 3/5   iterations 1400/2000   F1 0.5010376104145876   accuracy 0.58656330749354   precision 0.5426963682307478   recall 0.5342922616671582
deviation 3/5   iterations 1410/2000   F1 0.48580325369696425   accuracy 0.5762273901808785   precision 0.5341912988971812   recall 0.5236962294220072
deviation 3/5   iterations 1420/2000   F1 0.48007431781182436   accuracy 0.5710594315245479   precision 0.5270304045367293   recall 0.5165331863545516
deviation 3/5   iterations 1430/2000   F1 0.45145877999204426   accuracy 0.5310077519379846   precision 0.5310600729319941   recall 0.5023745091176772
deviation 3/5   iterations 1440/2000   F1 0.4811311309798165   accuracy 0.5581395348837209   precision 0.5268308467630491   recall 0.5235730502499697
deviation 3/5   iterations 1450/2000   F1 0.447342730441007   accuracy 0.5322997416020672   precision 0.5253658638004431   recall 0.49960898298766515
deviation 3/5   iterations 1460/2000   F1 0.5004081284804095   accuracy 0.5852713178294574   precision 0.533054272865497   recall 0.536193156091417
deviation 3/5   iterations 1470/2000   F1 0.49566090371186405   accuracy 0.5736434108527132   precision 0.5376980361432689   recall 0.5370768488004972
deviation 3/5   iterations 1480/2000   F1 0.4451941160651449   accuracy 0.5038759689922481   precision 0.526621254562431   recall 0.4964678116221946
deviation 3/5   iterations 1490/2000   F1 0.5083789120222485   accuracy 0.5981912144702842   precision 0.535139050098209   recall 0.5377317274868441
deviation 3/5   iterations 1500/2000   F1 0.4763782183275649   accuracy 0.5594315245478036   precision 0.5378278572272095   recall 0.5182815107693849
deviation 3/5   iterations 1510/2000   F1 0.45362875544756837   accuracy 0.520671834625323   precision 0.5280325360560307   recall 0.5046121889254506
deviation 3/5   iterations 1520/2000   F1 0.49115688493566845   accuracy 0.5762273901808785   precision 0.5472911286608085   recall 0.5342754551911064
deviation 3/5   iterations 1530/2000   F1 0.4590211683234939   accuracy 0.5310077519379846   precision 0.5267316394013227   recall 0.5074944175855095
deviation 3/5   iterations 1540/2000   F1 0.48082565752137674   accuracy 0.5607235142118863   precision 0.53494077931876   recall 0.5259594468750981
deviation 3/5   iterations 1550/2000   F1 0.462794097996486   accuracy 0.5361757105943152   precision 0.5282784998406346   recall 0.5111310520632655
deviation 3/5   iterations 1560/2000   F1 0.47834435711373585   accuracy 0.5736434108527132   precision 0.5274036500034671   recall 0.5073399619714537
deviation 3/5   iterations 1570/2000   F1 0.46073522742430306   accuracy 0.541343669250646   precision 0.5252590252590252   recall 0.5069181194225557
deviation 3/5   iterations 1580/2000   F1 0.49267226724657065   accuracy 0.5697674418604651   precision 0.5383961359721816   recall 0.5314714381317954
deviation 3/5   iterations 1590/2000   F1 0.4714110805019896   accuracy 0.5478036175710594   precision 0.5272080609386381   recall 0.5128412544714449
deviation 3/5   iterations 1600/2000   F1 0.49442125100382056   accuracy 0.5775193798449613   precision 0.5381249766276505   recall 0.5303737702885934
deviation 3/5   iterations 1610/2000   F1 0.4533514960191045   accuracy 0.5180878552971576   precision 0.5294062116492023   recall 0.4987672654773092
deviation 3/5   iterations 1620/2000   F1 0.4682782341740294   accuracy 0.5426356589147286   precision 0.5317372681761915   recall 0.5110017651718822
deviation 3/5   iterations 1630/2000   F1 0.4967336457367806   accuracy 0.5813953488372093   precision 0.5409294811468724   recall 0.529790995483649
deviation 3/5   iterations 1640/2000   F1 0.49167744198745006   accuracy 0.5633074935400517   precision 0.5394709680084705   recall 0.5332621066679981
deviation 3/5   iterations 1650/2000   F1 0.47667396460499906   accuracy 0.5594315245478036   precision 0.5347317477383747   recall 0.5191461424751381
deviation 3/5   iterations 1660/2000   F1 0.4840110099184409   accuracy 0.5529715762273901   precision 0.5364077482883233   recall 0.530447759774626
deviation 3/5   iterations 1670/2000   F1 0.4522272238679316   accuracy 0.5271317829457365   precision 0.5305901641769594   recall 0.5028894021559348
deviation 3/5   iterations 1680/2000   F1 0.5066426313506164   accuracy 0.5917312661498708   precision 0.5285527692198834   recall 0.5394545142563597
deviation 3/5   iterations 1690/2000   F1 0.47349936187900293   accuracy 0.5516795865633075   precision 0.5393217149314304   recall 0.520311692085027
deviation 3/5   iterations 1700/2000   F1 0.4602846525923449   accuracy 0.5310077519379846   precision 0.5352623407981096   recall 0.5128179713534026
deviation 3/5   iterations 1710/2000   F1 0.508500988525875   accuracy 0.582687338501292   precision 0.5403803389310635   recall 0.5487091437641538
deviation 3/5   iterations 1720/2000   F1 0.49852634570997373   accuracy 0.5723514211886305   precision 0.543482001228004   recall 0.5443012969926492
deviation 3/5   iterations 1730/2000   F1 0.4767988196612389   accuracy 0.5581395348837209   precision 0.5347170464328851   recall 0.5193177734878907
deviation 3/5   iterations 1740/2000   F1 0.5020352701363511   accuracy 0.582687338501292   precision 0.5400791265347605   recall 0.5409953401790619
deviation 3/5   iterations 1750/2000   F1 0.4700101297948442   accuracy 0.5387596899224806   precision 0.5288471646923226   recall 0.5167723302113459
deviation 3/5   iterations 1760/2000   F1 0.466312603023451   accuracy 0.537467700258398   precision 0.5308224248915631   recall 0.5144179478735258
deviation 3/5   iterations 1770/2000   F1 0.4785967183054915   accuracy 0.5426356589147286   precision 0.5322946222598564   recall 0.5310919397042667
deviation 3/5   iterations 1780/2000   F1 0.5043914970593769   accuracy 0.5852713178294574   precision 0.535530499119479   recall 0.5431780915041297
deviation 3/5   iterations 1790/2000   F1 0.4781241735418736   accuracy 0.5516795865633075   precision 0.5344858751491772   recall 0.5237023371413528
deviation 3/5   iterations 1800/2000   F1 0.4742656128162464   accuracy 0.541343669250646   precision 0.538013088949633   recall 0.5270082939549402
deviation 3/5   iterations 1810/2000   F1 0.48592550224684405   accuracy 0.5633074935400517   precision 0.540165732074888   recall 0.5281421982001658
deviation 3/5   iterations 1820/2000   F1 0.48179014986293733   accuracy 0.5645994832041343   precision 0.5321871158107637   recall 0.5200531183022606
deviation 3/5   iterations 1830/2000   F1 0.4881578060546919   accuracy 0.5697674418604651   precision 0.5289231956158535   recall 0.5235539892466428
deviation 3/5   iterations 1840/2000   F1 0.4870465450311486   accuracy 0.5490956072351422   precision 0.5359422493931122   recall 0.5406093651095425
deviation 3/5   iterations 1850/2000   F1 0.47156189977300506   accuracy 0.5490956072351422   precision 0.5300268851852219   recall 0.5197903224047788
deviation 3/5   iterations 1860/2000   F1 0.48872677361049455   accuracy 0.5581395348837209   precision 0.5322575577292558   recall 0.5304222221293083
deviation 3/5   iterations 1870/2000   F1 0.4860773951295682   accuracy 0.5594315245478036   precision 0.5379180302321958   recall 0.5339806450063164
deviation 3/5   iterations 1880/2000   F1 0.4917757322432907   accuracy 0.5736434108527132   precision 0.5377680643473804   recall 0.5345508354499245
deviation 3/5   iterations 1890/2000   F1 0.4659529574958394   accuracy 0.5310077519379846   precision 0.5248202968641814   recall 0.5161407346430416
deviation 3/5   iterations 1900/2000   F1 0.49334601549721624   accuracy 0.562015503875969   precision 0.539795059740463   recall 0.54048655486015
deviation 3/5   iterations 1910/2000   F1 0.48178252143769384   accuracy 0.5645994832041343   precision 0.5312359198751679   recall 0.5227148951862072
deviation 3/5   iterations 1920/2000   F1 0.48090335075874563   accuracy 0.5478036175710594   precision 0.5354224854908186   recall 0.5250139801186767
deviation 3/5   iterations 1930/2000   F1 0.45332114602765555   accuracy 0.5155038759689923   precision 0.5335206567595302   recall 0.5115547802167937
deviation 3/5   iterations 1940/2000   F1 0.48548465695145243   accuracy 0.5542635658914729   precision 0.5324987042378347   recall 0.5355318007630796
deviation 3/5   iterations 1950/2000   F1 0.5014015516225522   accuracy 0.5736434108527132   precision 0.5437109156743464   recall 0.5475881928029095
deviation 3/5   iterations 1960/2000   F1 0.49869454602488195   accuracy 0.5697674418604651   precision 0.5419899883819332   recall 0.5365913465996277
deviation 3/5   iterations 1970/2000   F1 0.49935042487058223   accuracy 0.5852713178294574   precision 0.5350070731418827   recall 0.5300049706177709
deviation 3/5   iterations 1980/2000   F1 0.4411167538685283   accuracy 0.4974160206718346   precision 0.5190344499141817   recall 0.49652921674689093
deviation 3/5   iterations 1990/2000   F1 0.4730070321636662   accuracy 0.5516795865633075   precision 0.5256733645503002   recall 0.5122584796665005
deviation 3/5   iterations 2000/2000   F1 0.5009793222182602   accuracy 0.5723514211886305   precision 0.5434194011117088   recall 0.5415037565753288

deviation 4/5   iterations 10/2000   F1 0.416532012037567   accuracy 0.5723514211886305   precision 0.41768718740806116   recall 0.41568920611863946
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deviation 4/5   iterations 20/2000   F1 0.43262904591630386   accuracy 0.5064599483204134   precision 0.4615529736971862   recall 0.46411534522264447
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deviation 4/5   iterations 30/2000   F1 0.4491476533087413   accuracy 0.5813953488372093   precision 0.45440539239287436   recall 0.46044903296766543
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deviation 4/5   iterations 40/2000   F1 0.443543158871006   accuracy 0.5839793281653747   precision 0.4890541571319604   recall 0.4728393819840644
deviation 4/5   iterations 50/2000   F1 0.48120831913253426   accuracy 0.6072351421188631   precision 0.48039386330346784   recall 0.48882197178659975
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deviation 4/5   iterations 60/2000   F1 0.47773265418502203   accuracy 0.5852713178294574   precision 0.49048309144904606   recall 0.498470938610534
deviation 4/5   iterations 70/2000   F1 0.4787495717278351   accuracy 0.5878552971576227   precision 0.4948131801334446   recall 0.4989923082907823
deviation 4/5   iterations 80/2000   F1 0.48197570131893536   accuracy 0.6059431524547804   precision 0.48631360645749133   recall 0.4908586297442325
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deviation 4/5   iterations 90/2000   F1 0.469439941606502   accuracy 0.5788113695090439   precision 0.5040648070399745   recall 0.4970067256237847
deviation 4/5   iterations 100/2000   F1 0.48880702158863115   accuracy 0.6214470284237726   precision 0.5001082251082251   recall 0.49944616512698853
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deviation 4/5   iterations 110/2000   F1 0.48952008476346515   accuracy 0.6020671834625323   precision 0.5042341553577508   recall 0.5046824072022226
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deviation 4/5   iterations 120/2000   F1 0.48906142967310023   accuracy 0.603359173126615   precision 0.509191482360244   recall 0.5063758031343504
deviation 4/5   iterations 130/2000   F1 0.501070544604224   accuracy 0.6136950904392765   precision 0.5164514393327952   recall 0.5170397171461882
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deviation 4/5   iterations 140/2000   F1 0.49349642518735465   accuracy 0.6111111111111112   precision 0.5121580933531954   recall 0.5105338072923545
deviation 4/5   iterations 150/2000   F1 0.5092483660130719   accuracy 0.624031007751938   precision 0.5183172734320641   recall 0.5233125908625731
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deviation 4/5   iterations 160/2000   F1 0.4968670770640664   accuracy 0.6098191214470284   precision 0.5187668585952899   recall 0.51509647860056
deviation 4/5   iterations 170/2000   F1 0.5135161321152594   accuracy 0.6330749354005168   precision 0.5184292003550621   recall 0.5245014235905043
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deviation 4/5   iterations 180/2000   F1 0.4980474195885585   accuracy 0.603359173126615   precision 0.5169615267745696   recall 0.5149542384251955
deviation 4/5   iterations 190/2000   F1 0.5040715168676925   accuracy 0.6330749354005168   precision 0.5177730103262018   recall 0.5152620018939669
deviation 4/5   iterations 200/2000   F1 0.505390760955545   accuracy 0.6201550387596899   precision 0.51727042706831   recall 0.5186396936663115
deviation 4/5   iterations 210/2000   F1 0.49490982480673207   accuracy 0.5930232558139535   precision 0.5266963800512373   recall 0.51480166841577
deviation 4/5   iterations 220/2000   F1 0.5303491834059727   accuracy 0.6498708010335917   precision 0.5333373665671802   recall 0.5423603949571062
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deviation 4/5   iterations 230/2000   F1 0.5048524460289165   accuracy 0.6072351421188631   precision 0.5238831101934456   recall 0.5249506893893502
deviation 4/5   iterations 240/2000   F1 0.5221842551065082   accuracy 0.6395348837209303   precision 0.530256645870613   recall 0.5369521529464745
deviation 4/5   iterations 250/2000   F1 0.5237384918952586   accuracy 0.6434108527131783   precision 0.5326246240599953   recall 0.5390990367921634
deviation 4/5   iterations 260/2000   F1 0.5148204000993165   accuracy 0.6304909560723514   precision 0.5241992598090492   recall 0.5294393712115232
deviation 4/5   iterations 270/2000   F1 0.49983592278542405   accuracy 0.6149870801033591   precision 0.5264702805239047   recall 0.5170038496668096
deviation 4/5   iterations 280/2000   F1 0.5137838138317318   accuracy 0.6343669250645995   precision 0.5240875364175057   recall 0.5262627012893191
deviation 4/5   iterations 290/2000   F1 0.5157259908915538   accuracy 0.6253229974160207   precision 0.5401447599100754   recall 0.5374502395086803
deviation 4/5   iterations 300/2000   F1 0.5130782760180912   accuracy 0.6188630490956072   precision 0.5251223866471652   recall 0.5328490772711759
deviation 4/5   iterations 310/2000   F1 0.5053814108732024   accuracy 0.6227390180878553   precision 0.5195724821372468   recall 0.5192289451132465
deviation 4/5   iterations 320/2000   F1 0.5138944818742377   accuracy 0.6214470284237726   precision 0.525395418713391   recall 0.5333704469514241
deviation 4/5   iterations 330/2000   F1 0.5230128403281676   accuracy 0.6472868217054264   precision 0.5276130350152584   recall 0.5330569446859522
deviation 4/5   iterations 340/2000   F1 0.5153522150567214   accuracy 0.6304909560723514   precision 0.537278115416543   recall 0.5313722799230903
deviation 4/5   iterations 350/2000   F1 0.5099821754203852   accuracy 0.6149870801033591   precision 0.5210678217775405   recall 0.5298375617197338
deviation 4/5   iterations 360/2000   F1 0.5178616648136133   accuracy 0.6369509043927648   precision 0.5415096562896886   recall 0.5376348238054142
deviation 4/5   iterations 370/2000   F1 0.536856428089644   accuracy 0.6498708010335917   precision 0.5378966779627942   recall 0.5546010023710249
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deviation 4/5   iterations 380/2000   F1 0.5107545344633645   accuracy 0.6020671834625323   precision 0.5312431436170654   recall 0.5388103343267191
deviation 4/5   iterations 390/2000   F1 0.5189774590508818   accuracy 0.6395348837209303   precision 0.5323526247848537   recall 0.5335615078901487
deviation 4/5   iterations 400/2000   F1 0.5158986642703173   accuracy 0.6085271317829457   precision 0.528839796274552   recall 0.5448013511422952
deviation 4/5   iterations 410/2000   F1 0.49762107132383765   accuracy 0.6124031007751938   precision 0.5388278010527446   recall 0.5255360876442149
deviation 4/5   iterations 420/2000   F1 0.5141753892263519   accuracy 0.6291989664082688   precision 0.5181341645110207   recall 0.5284748434517748
deviation 4/5   iterations 430/2000   F1 0.5126450592790862   accuracy 0.6291989664082688   precision 0.5329732154124697   recall 0.5262203571679498
deviation 4/5   iterations 440/2000   F1 0.501805283457602   accuracy 0.6085271317829457   precision 0.5216509742825532   recall 0.5167937277247582
deviation 4/5   iterations 450/2000   F1 0.5178353001364325   accuracy 0.6421188630490956   precision 0.5298194890418138   recall 0.5278268103300636
deviation 4/5   iterations 460/2000   F1 0.5113113206765988   accuracy 0.6149870801033591   precision 0.5201081161667697   recall 0.530566429892113
deviation 4/5   iterations 470/2000   F1 0.5174510751100563   accuracy 0.6214470284237726   precision 0.5446767980025293   recall 0.5396943959584443
deviation 4/5   iterations 480/2000   F1 0.5266555235987092   accuracy 0.6459948320413437   precision 0.5269759450446756   recall 0.5400777475780433
deviation 4/5   iterations 490/2000   F1 0.5113634285923244   accuracy 0.6111111111111112   precision 0.5540116434003649   recall 0.5396097077157056
deviation 4/5   iterations 500/2000   F1 0.520229646490373   accuracy 0.6447028423772609   precision 0.5248265632939934   recall 0.5298059163550705
deviation 4/5   iterations 510/2000   F1 0.5125783852503595   accuracy 0.6085271317829457   precision 0.5556041181041181   recall 0.5408176014469638
deviation 4/5   iterations 520/2000   F1 0.5334504805860186   accuracy 0.6511627906976745   precision 0.5377808333735385   recall 0.5473765541788729
deviation 4/5   iterations 530/2000   F1 0.5045443941952675   accuracy 0.58656330749354   precision 0.5451057231300339   recall 0.5386154201959242
deviation 4/5   iterations 540/2000   F1 0.5287760284089758   accuracy 0.6408268733850129   precision 0.5438025439458456   recall 0.5491568928810145
deviation 4/5   iterations 550/2000   F1 0.5226789714007881   accuracy 0.6304909560723514   precision 0.5396444081875283   recall 0.5426803738645688
deviation 4/5   iterations 560/2000   F1 0.517128081997554   accuracy 0.6085271317829457   precision 0.5468153432995977   recall 0.5485992867987427
deviation 4/5   iterations 570/2000   F1 0.5143374054127122   accuracy 0.6085271317829457   precision 0.5442847498117421   recall 0.5433436147975365
deviation 4/5   iterations 580/2000   F1 0.5325453931046988   accuracy 0.6408268733850129   precision 0.5401767561178773   recall 0.5524117744039665
deviation 4/5   iterations 590/2000   F1 0.526821818497817   accuracy 0.6330749354005168   precision 0.5468555125819824   recall 0.5493899290184633
deviation 4/5   iterations 600/2000   F1 0.5261076372187483   accuracy 0.6330749354005168   precision 0.536555938812422   recall 0.547524902073583
deviation 4/5   iterations 610/2000   F1 0.5026271162322584   accuracy 0.5917312661498708   precision 0.5401205450733753   recall 0.5361996327334078
deviation 4/5   iterations 620/2000   F1 0.5187117256026723   accuracy 0.6162790697674418   precision 0.5333676767552462   recall 0.5446361967715333
deviation 4/5   iterations 630/2000   F1 0.5398739938488007   accuracy 0.6537467700258398   precision 0.5396675611587892   recall 0.5575446361557802
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deviation 4/5   iterations 640/2000   F1 0.5058164154938348   accuracy 0.6007751937984496   precision 0.541235035421082   recall 0.5366595972889597
deviation 4/5   iterations 650/2000   F1 0.5315884167188062   accuracy 0.6421188630490956   precision 0.541653010731958   recall 0.5505787617463945
deviation 4/5   iterations 660/2000   F1 0.5222649794944462   accuracy 0.6175710594315246   precision 0.5432964638846992   recall 0.550720632999114
deviation 4/5   iterations 670/2000   F1 0.5174554996895683   accuracy 0.6124031007751938   precision 0.5334706786243121   recall 0.5442864581040378
deviation 4/5   iterations 680/2000   F1 0.5233354614456976   accuracy 0.6304909560723514   precision 0.5371213718462295   recall 0.5444096372760753
deviation 4/5   iterations 690/2000   F1 0.5216334717089274   accuracy 0.6266149870801033   precision 0.5356988527938601   recall 0.5431952669028264
deviation 4/5   iterations 700/2000   F1 0.5293999402005146   accuracy 0.6356589147286822   precision 0.5407954752782339   recall 0.5525051938159711
deviation 4/5   iterations 710/2000   F1 0.5327252530330434   accuracy 0.6266149870801033   precision 0.5470569396549158   recall 0.5633533232018976
deviation 4/5   iterations 720/2000   F1 0.5073771837754477   accuracy 0.6085271317829457   precision 0.5424436376098486   recall 0.537359074623951
deviation 4/5   iterations 730/2000   F1 0.532236476150744   accuracy 0.6201550387596899   precision 0.5490529488689186   recall 0.5678057686220469
deviation 4/5   iterations 740/2000   F1 0.5329994424487698   accuracy 0.6408268733850129   precision 0.5425608116727012   recall 0.5543446831155338
deviation 4/5   iterations 750/2000   F1 0.5068017736299926   accuracy 0.5956072351421189   precision 0.5387350777498788   recall 0.5390753847514761
deviation 4/5   iterations 760/2000   F1 0.5335790645879732   accuracy 0.6395348837209303   precision 0.543827756131258   recall 0.5553809458340394
deviation 4/5   iterations 770/2000   F1 0.519944270310042   accuracy 0.6253229974160207   precision 0.5387935609194134   recall 0.5417055162707594
deviation 4/5   iterations 780/2000   F1 0.5222077548365308   accuracy 0.6227390180878553   precision 0.5384533991006637   recall 0.5445747916468371
deviation 4/5   iterations 790/2000   F1 0.5159350864420684   accuracy 0.6175710594315246   precision 0.5395895045505724   recall 0.5411418024691419
deviation 4/5   iterations 800/2000   F1 0.5254834735246083   accuracy 0.6291989664082688   precision 0.5381588663974445   recall 0.5471072816394004
deviation 4/5   iterations 810/2000   F1 0.5094217924502478   accuracy 0.6149870801033591   precision 0.5387482008791379   recall 0.5337033791428681
deviation 4/5   iterations 820/2000   F1 0.4998335169973764   accuracy 0.5981912144702842   precision 0.5361557145073742   recall 0.5309504373741922
deviation 4/5   iterations 830/2000   F1 0.5324849881301494   accuracy 0.6395348837209303   precision 0.5415669062931356   recall 0.552583405416719
deviation 4/5   iterations 840/2000   F1 0.5151211271447561   accuracy 0.6266149870801033   precision 0.5433213842095806   recall 0.5364139767901746
deviation 4/5   iterations 850/2000   F1 0.5178208269502568   accuracy 0.6072351421188631   precision 0.5399703128641175   recall 0.5459054956274878
deviation 4/5   iterations 860/2000   F1 0.5195848527444182   accuracy 0.624031007751938   precision 0.5458684924563181   recall 0.5455393194065855
deviation 4/5   iterations 870/2000   F1 0.5224834814308499   accuracy 0.6136950904392765   precision 0.5409747849307583   recall 0.5510997625039976
deviation 4/5   iterations 880/2000   F1 0.4979559126331264   accuracy 0.5801033591731266   precision 0.5464308574995598   recall 0.5370833254424878
deviation 4/5   iterations 890/2000   F1 0.5331304802281701   accuracy 0.6382428940568475   precision 0.5403457209366801   recall 0.5554168133134181
deviation 4/5   iterations 900/2000   F1 0.5020141917274362   accuracy 0.5943152454780362   precision 0.5499609021050788   recall 0.5377213976527829
deviation 4/5   iterations 910/2000   F1 0.5045271997079226   accuracy 0.582687338501292   precision 0.5434513872446867   recall 0.5480481573584614
deviation 4/5   iterations 920/2000   F1 0.5099002440086878   accuracy 0.6085271317829457   precision 0.5323861375924062   recall 0.5353582841456969
deviation 4/5   iterations 930/2000   F1 0.5039422600981441   accuracy 0.6085271317829457   precision 0.5411010724879338   recall 0.5294416257387984
deviation 4/5   iterations 940/2000   F1 0.5318430837050291   accuracy 0.6459948320413437   precision 0.5327958779571683   recall 0.5488598281689492
deviation 4/5   iterations 950/2000   F1 0.4968479685812401   accuracy 0.582687338501292   precision 0.5477103083796447   recall 0.5403343537733695
deviation 4/5   iterations 960/2000   F1 0.5297034651958697   accuracy 0.6317829457364341   precision 0.5397197579378652   recall 0.5528164415541678
deviation 4/5   iterations 970/2000   F1 0.5184637671289242   accuracy 0.6136950904392765   precision 0.5431635426236072   recall 0.5469123675086055
deviation 4/5   iterations 980/2000   F1 0.5166557914049413   accuracy 0.6201550387596899   precision 0.5383375104427736   recall 0.5407306586769499
deviation 4/5   iterations 990/2000   F1 0.5388430277533459   accuracy 0.6434108527131783   precision 0.5450081532762397   recall 0.5617152246751206
deviation 4/5   iterations 1000/2000   F1 0.5103507320744399   accuracy 0.603359173126615   precision 0.5347969865749868   recall 0.5387065850806535
deviation 4/5   iterations 1010/2000   F1 0.5394870885629268   accuracy 0.6524547803617571   precision 0.541662831722657   recall 0.5559870037570263
deviation 4/5   iterations 1020/2000   F1 0.49665147629570877   accuracy 0.5762273901808785   precision 0.5438375118747677   recall 0.5367335867749922
deviation 4/5   iterations 1030/2000   F1 0.5398593016251244   accuracy 0.6498708010335917   precision 0.5430817561192433   recall 0.5580595291940377
deviation 4/5   iterations 1040/2000   F1 0.515935212896005   accuracy 0.6059431524547804   precision 0.5521271031932072   recall 0.5508075757691279
deviation 4/5   iterations 1050/2000   F1 0.5311858063317628   accuracy 0.6343669250645995   precision 0.54552822273074   recall 0.554338206473543
deviation 4/5   iterations 1060/2000   F1 0.5357563406327049   accuracy 0.6472868217054264   precision 0.540294773007357   recall 0.5540117509240897
deviation 4/5   iterations 1070/2000   F1 0.5294708002153685   accuracy 0.6382428940568475   precision 0.5443013603125962   recall 0.5503647866122727
deviation 4/5   iterations 1080/2000   F1 0.5013307420223602   accuracy 0.5943152454780362   precision 0.541448120934721   recall 0.5341271072963963
deviation 4/5   iterations 1090/2000   F1 0.5279687570083617   accuracy 0.6227390180878553   precision 0.5449810606060606   recall 0.5578157942998828
deviation 4/5   iterations 1100/2000   F1 0.5381068838145404   accuracy 0.6330749354005168   precision 0.5470767151758612   recall 0.5684797083117206
deviation 4/5   iterations 1110/2000   F1 0.4986205009543923   accuracy 0.5749354005167958   precision 0.5515043599434266   recall 0.5422287715556378
deviation 4/5   iterations 1120/2000   F1 0.5422899805508501   accuracy 0.6408268733850129   precision 0.5501931569986203   recall 0.5691113038800251
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deviation 4/5   iterations 1130/2000   F1 0.5188838158381306   accuracy 0.6098191214470284   precision 0.5437091952664811   recall 0.5518861826090029
deviation 4/5   iterations 1140/2000   F1 0.5125247114719728   accuracy 0.6098191214470284   precision 0.5468150386379013   recall 0.5423752338457177
deviation 4/5   iterations 1150/2000   F1 0.5301636917333462   accuracy 0.6343669250645995   precision 0.5461390382166638   recall 0.5553386017126701
deviation 4/5   iterations 1160/2000   F1 0.536017717360735   accuracy 0.624031007751938   precision 0.5512533144874384   recall 0.5688843754619218
deviation 4/5   iterations 1170/2000   F1 0.5381838276833887   accuracy 0.6369509043927648   precision 0.5459307992716206   recall 0.5643705249170764
deviation 4/5   iterations 1180/2000   F1 0.5253263628093614   accuracy 0.6175710594315246   precision 0.5485492084178505   recall 0.5559763050003201
deviation 4/5   iterations 1190/2000   F1 0.5103438106206796   accuracy 0.5852713178294574   precision 0.5424755662930492   recall 0.5509597768559084
deviation 4/5   iterations 1200/2000   F1 0.5335149716444653   accuracy 0.6291989664082688   precision 0.5452814874312307   recall 0.5629421794097057
deviation 4/5   iterations 1210/2000   F1 0.5261265365211022   accuracy 0.6111111111111112   precision 0.5462942218392456   recall 0.5620901320652888
deviation 4/5   iterations 1220/2000   F1 0.5114099140371969   accuracy 0.5968992248062015   precision 0.5401753554108125   recall 0.5458208073847493
deviation 4/5   iterations 1230/2000   F1 0.5277508090614886   accuracy 0.6304909560723514   precision 0.5387452109129183   recall 0.5504620592163476
deviation 4/5   iterations 1240/2000   F1 0.5208617756603414   accuracy 0.6266149870801033   precision 0.5283084413061331   recall 0.5420591081303254
deviation 4/5   iterations 1250/2000   F1 0.5225363465230964   accuracy 0.6227390180878553   precision 0.5414642719507392   recall 0.5473044502974705
deviation 4/5   iterations 1260/2000   F1 0.5069493425259332   accuracy 0.5878552971576227   precision 0.5383593961067813   recall 0.5426990659452507
deviation 4/5   iterations 1270/2000   F1 0.5231197035125343   accuracy 0.624031007751938   precision 0.5472200173185163   recall 0.5498624779353515
deviation 4/5   iterations 1280/2000   F1 0.5316483616008868   accuracy 0.6304909560723514   precision 0.5478395270067562   recall 0.5584473898681872
deviation 4/5   iterations 1290/2000   F1 0.5064450958122664   accuracy 0.5839793281653747   precision 0.5390556222488996   recall 0.5432139589835082
deviation 4/5   iterations 1300/2000   F1 0.5060377192403336   accuracy 0.5930232558139535   precision 0.5442985730877717   recall 0.5439454506058079
deviation 4/5   iterations 1310/2000   F1 0.5220486983416522   accuracy 0.6136950904392765   precision 0.5422016913410596   recall 0.553897302921318
deviation 4/5   iterations 1320/2000   F1 0.4987142863769221   accuracy 0.5801033591731266   precision 0.53641873333002   recall 0.5387447070873074
deviation 4/5   iterations 1330/2000   F1 0.5087756491052297   accuracy 0.5904392764857881   precision 0.5401039538062521   recall 0.549476502865832
deviation 4/5   iterations 1340/2000   F1 0.5006080077370324   accuracy 0.5943152454780362   precision 0.534139384036584   recall 0.532329962118203
deviation 4/5   iterations 1350/2000   F1 0.5249822258306382   accuracy 0.627906976744186   precision 0.5357268503354321   recall 0.5454138857072727
deviation 4/5   iterations 1360/2000   F1 0.5204366036421902   accuracy 0.6188630490956072   precision 0.5352243490674086   recall 0.5423600260344612
deviation 4/5   iterations 1370/2000   F1 0.5233880504186895   accuracy 0.6020671834625323   precision 0.5481443759008354   recall 0.5624947992154901
deviation 4/5   iterations 1380/2000   F1 0.5016574078720791   accuracy 0.5801033591731266   precision 0.550433081511921   recall 0.547662551211587
deviation 4/5   iterations 1390/2000   F1 0.5038537977845056   accuracy 0.5839793281653747   precision 0.5312199884995202   recall 0.5396875503938086
deviation 4/5   iterations 1400/2000   F1 0.5201765532644064   accuracy 0.6162790697674418   precision 0.5398992333885878   recall 0.5473658554221669
deviation 4/5   iterations 1410/2000   F1 0.5105752394995089   accuracy 0.5968992248062015   precision 0.531193708325321   recall 0.5403614900834822
deviation 4/5   iterations 1420/2000   F1 0.4809710092099884   accuracy 0.5671834625322998   precision 0.5303372204553486   recall 0.5143863025088625
deviation 4/5   iterations 1430/2000   F1 0.5040686161743281   accuracy 0.582687338501292   precision 0.5405847649794381   recall 0.5399949449399349
deviation 4/5   iterations 1440/2000   F1 0.5140884990399553   accuracy 0.6007751937984496   precision 0.5390902465212826   recall 0.5442376373406776
deviation 4/5   iterations 1450/2000   F1 0.5097975545736739   accuracy 0.6046511627906976   precision 0.5343126387455847   recall 0.5322788868275677
deviation 4/5   iterations 1460/2000   F1 0.5031121550850125   accuracy 0.603359173126615   precision 0.524668453508149   recall 0.5192095151872745
deviation 4/5   iterations 1470/2000   F1 0.49710639731346523   accuracy 0.5697674418604651   precision 0.5305142885591955   recall 0.5355909513605006
deviation 4/5   iterations 1480/2000   F1 0.5116530642846433   accuracy 0.6085271317829457   precision 0.5290100662789023   recall 0.5351546388456362
deviation 4/5   iterations 1490/2000   F1 0.518870498677114   accuracy 0.6072351421188631   precision 0.5411303711091612   recall 0.5503644176896277
deviation 4/5   iterations 1500/2000   F1 0.4936152909698555   accuracy 0.5633074935400517   precision 0.5464679328524332   recall 0.5412474373198376
deviation 4/5   iterations 1510/2000   F1 0.519727439659683   accuracy 0.6124031007751938   precision 0.5323238038514989   recall 0.5467445896879234
deviation 4/5   iterations 1520/2000   F1 0.5041583359640814   accuracy 0.6020671834625323   precision 0.5222860823548006   recall 0.52377218649548
deviation 4/5   iterations 1530/2000   F1 0.5005956019498127   accuracy 0.582687338501292   precision 0.5293502851280341   recall 0.5310771008156552
deviation 4/5   iterations 1540/2000   F1 0.49671040310967424   accuracy 0.5878552971576227   precision 0.5194542018471077   recall 0.5197434692288591
deviation 4/5   iterations 1550/2000   F1 0.5045816850292543   accuracy 0.5968992248062015   precision 0.5233433674006102   recall 0.5289176326086299
deviation 4/5   iterations 1560/2000   F1 0.48921752350458975   accuracy 0.5633074935400517   precision 0.5321862165047314   recall 0.5386535422025781
deviation 4/5   iterations 1570/2000   F1 0.4869804078871822   accuracy 0.5607235142118863   precision 0.5401288865345805   recall 0.5391325677614569
deviation 4/5   iterations 1580/2000   F1 0.5079151732377539   accuracy 0.5968992248062015   precision 0.5260339140294815   recall 0.5376997131995358
deviation 4/5   iterations 1590/2000   F1 0.49218652157577614   accuracy 0.5710594315245479   precision 0.5288036932116252   recall 0.5330290705305493
deviation 4/5   iterations 1600/2000   F1 0.5062226204699324   accuracy 0.5943152454780362   precision 0.5246163625743051   recall 0.534516566635341
deviation 4/5   iterations 1610/2000   F1 0.5104081719283621   accuracy 0.5981912144702842   precision 0.53076990969892   recall 0.5401898590707298
deviation 4/5   iterations 1620/2000   F1 0.508410912238125   accuracy 0.5917312661498708   precision 0.5333598153822873   recall 0.5411837776678662
deviation 4/5   iterations 1630/2000   F1 0.4978698459596127   accuracy 0.5684754521963824   precision 0.5353142713685669   recall 0.5447483082642197
deviation 4/5   iterations 1640/2000   F1 0.5051713540309293   accuracy 0.5904392764857881   precision 0.5304545572823235   recall 0.5406265405082392
deviation 4/5   iterations 1650/2000   F1 0.48984694640949805   accuracy 0.5684754521963824   precision 0.524060056692521   recall 0.5298459239663545
deviation 4/5   iterations 1660/2000   F1 0.4849109224109225   accuracy 0.5594315245478036   precision 0.5404914801558585   recall 0.5393720805408964
deviation 4/5   iterations 1670/2000   F1 0.5227960408030139   accuracy 0.5968992248062015   precision 0.542215698985522   recall 0.5657073366170727
deviation 4/5   iterations 1680/2000   F1 0.5191057060485375   accuracy 0.6111111111111112   precision 0.5385850518702615   recall 0.5489848929456169
deviation 4/5   iterations 1690/2000   F1 0.4837775151601968   accuracy 0.5465116279069767   precision 0.5311014763879057   recall 0.5356969551338414
deviation 4/5   iterations 1700/2000   F1 0.5143677928590756   accuracy 0.603359173126615   precision 0.5289379947056149   recall 0.5437586117817989
deviation 4/5   iterations 1710/2000   F1 0.502535457227003   accuracy 0.5813953488372093   precision 0.5335428305400373   recall 0.5455580114872673
deviation 4/5   iterations 1720/2000   F1 0.4875103837885282   accuracy 0.5633074935400517   precision 0.5303545736454982   recall 0.5298035798449853
deviation 4/5   iterations 1730/2000   F1 0.5054448313123591   accuracy 0.5839793281653747   precision 0.5275532635525639   recall 0.5412810502719411
deviation 4/5   iterations 1740/2000   F1 0.5080113625362687   accuracy 0.5891472868217055   precision 0.5274604687678811   recall 0.5432563031048776
deviation 4/5   iterations 1750/2000   F1 0.511455530877418   accuracy 0.6072351421188631   precision 0.5266545267710594   recall 0.5362587833308288
deviation 4/5   iterations 1760/2000   F1 0.4953475425811033   accuracy 0.5788113695090439   precision 0.5294159566725546   recall 0.5354578112770471
deviation 4/5   iterations 1770/2000   F1 0.5048264365034552   accuracy 0.5981912144702842   precision 0.5167996707902158   recall 0.5311362514130762
deviation 4/5   iterations 1780/2000   F1 0.5129844237349309   accuracy 0.6111111111111112   precision 0.5236401107344313   recall 0.5355402449925104
deviation 4/5   iterations 1790/2000   F1 0.5038937885224816   accuracy 0.5801033591731266   precision 0.534987729492449   recall 0.5474589059115262
deviation 4/5   iterations 1800/2000   F1 0.49738291432259   accuracy 0.5671834625322998   precision 0.5352402922489534   recall 0.5458524527494123
deviation 4/5   iterations 1810/2000   F1 0.5020315062508803   accuracy 0.5736434108527132   precision 0.5376829634778052   recall 0.550182087920169
deviation 4/5   iterations 1820/2000   F1 0.5024971994025392   accuracy 0.5813953488372093   precision 0.5275472675472676   recall 0.5400986941860005
deviation 4/5   iterations 1830/2000   F1 0.48932461710139163   accuracy 0.5645994832041343   precision 0.5280855960048871   recall 0.5304286987712991
deviation 4/5   iterations 1840/2000   F1 0.49643084641594465   accuracy 0.5710594315245479   precision 0.5266088400483943   recall 0.5381489789983815
deviation 4/5   iterations 1850/2000   F1 0.476177974213555   accuracy 0.5503875968992248   precision 0.5155233499334623   recall 0.5193471643252786
deviation 4/5   iterations 1860/2000   F1 0.4927652773474704   accuracy 0.5762273901808785   precision 0.5250565449667436   recall 0.5358689550692389
deviation 4/5   iterations 1870/2000   F1 0.4808331954534743   accuracy 0.5478036175710594   precision 0.5164977156378844   recall 0.5274721117025624
deviation 4/5   iterations 1880/2000   F1 0.49092416915029674   accuracy 0.5633074935400517   precision 0.5203895102396524   recall 0.5339909748403774
deviation 4/5   iterations 1890/2000   F1 0.4797515572208238   accuracy 0.5529715762273901   precision 0.5173755043707406   recall 0.5251242060067329
deviation 4/5   iterations 1900/2000   F1 0.5029679529661122   accuracy 0.5839793281653747   precision 0.5276511437908497   recall 0.5415525773386888
deviation 4/5   iterations 1910/2000   F1 0.509028231015678   accuracy 0.5930232558139535   precision 0.5329028335251255   recall 0.5499978725460802
deviation 4/5   iterations 1920/2000   F1 0.51047189530329   accuracy 0.5956072351421189   precision 0.5266660089490326   recall 0.5449920431583747
deviation 4/5   iterations 1930/2000   F1 0.5234440470395127   accuracy 0.6149870801033591   precision 0.5338629367486799   recall 0.5535220266085048
deviation 4/5   iterations 1940/2000   F1 0.494072863309523   accuracy 0.5723514211886305   precision 0.5192258046141748   recall 0.5317212807452959
deviation 4/5   iterations 1950/2000   F1 0.502708766494829   accuracy 0.58656330749354   precision 0.5208440493281231   recall 0.53661462971767
deviation 4/5   iterations 1960/2000   F1 0.49113512359160727   accuracy 0.5594315245478036   precision 0.5220788568432262   recall 0.5388969081740879
deviation 4/5   iterations 1970/2000   F1 0.5070700904067326   accuracy 0.5943152454780362   precision 0.5274552777096838   recall 0.5427055425872415
deviation 4/5   iterations 1980/2000   F1 0.4902133159013893   accuracy 0.562015503875969   precision 0.5231825925875734   recall 0.5368922645037634
deviation 4/5   iterations 1990/2000   F1 0.48884818884818887   accuracy 0.5633074935400517   precision 0.5223205461578129   recall 0.5305324480173647
deviation 4/5   iterations 2000/2000   F1 0.49218725739696034   accuracy 0.5788113695090439   precision 0.5172024197864696   recall 0.5265399671527674

deviation 5/5   iterations 10/2000   F1 0.1795585579611321   accuracy 0.25839793281653745   precision 0.3151251108039585   recall 0.31539229717391315
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deviation 5/5   iterations 20/2000   F1 0.4037330144038358   accuracy 0.5310077519379846   precision 0.40942800380002065   recall 0.40588955488990974
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deviation 5/5   iterations 30/2000   F1 0.3904274799856859   accuracy 0.5025839793281653   precision 0.4480906508009839   recall 0.44204626962227817
deviation 5/5   iterations 40/2000   F1 0.42877877069802883   accuracy 0.5555555555555556   precision 0.4647894034686488   recall 0.46447475786172104
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deviation 5/5   iterations 50/2000   F1 0.4686116838504765   accuracy 0.6072351421188631   precision 0.4686303418073629   recall 0.4744448103610532
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deviation 5/5   iterations 60/2000   F1 0.4331664480711325   accuracy 0.5852713178294574   precision 0.4549978929624947   recall 0.46983454803163777
deviation 5/5   iterations 70/2000   F1 0.4940252932280373   accuracy 0.6253229974160207   precision 0.501651455888744   recall 0.510950402941412
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deviation 5/5   iterations 80/2000   F1 0.5000927886058187   accuracy 0.6382428940568475   precision 0.5071902501644782   recall 0.5109633562253934
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deviation 5/5   iterations 90/2000   F1 0.4983616415377347   accuracy 0.6188630490956072   precision 0.5107435628020212   recall 0.5197260068903272
deviation 5/5   iterations 100/2000   F1 0.5057004679097702   accuracy 0.6369509043927648   precision 0.5091249958799627   recall 0.5181878044175453
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deviation 5/5   iterations 110/2000   F1 0.5028751089766259   accuracy 0.6214470284237726   precision 0.513052863587177   recall 0.5229091534545219
deviation 5/5   iterations 120/2000   F1 0.5036393693581013   accuracy 0.6395348837209303   precision 0.5085967399439566   recall 0.5143181338023406
deviation 5/5   iterations 130/2000   F1 0.5054624040539534   accuracy 0.6201550387596899   precision 0.5081705676053212   recall 0.5250136931788417
deviation 5/5   iterations 140/2000   F1 0.5082354091283193   accuracy 0.6201550387596899   precision 0.5189727701665624   recall 0.5292689699409207
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deviation 5/5   iterations 150/2000   F1 0.5082099833796797   accuracy 0.6369509043927648   precision 0.5100743281454294   recall 0.5217142130072451
deviation 5/5   iterations 160/2000   F1 0.5076085343573905   accuracy 0.6188630490956072   precision 0.5145350947613635   recall 0.528643851014607
deviation 5/5   iterations 170/2000   F1 0.5174988935133763   accuracy 0.6459948320413437   precision 0.5154808607013921   recall 0.5292948765088834
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deviation 5/5   iterations 180/2000   F1 0.5299136310172824   accuracy 0.6498708010335917   precision 0.537650004316671   recall 0.546937249291443
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deviation 5/5   iterations 190/2000   F1 0.5233098825677479   accuracy 0.648578811369509   precision 0.5192729506687869   recall 0.5343430500179583
deviation 5/5   iterations 200/2000   F1 0.5124929409279608   accuracy 0.6214470284237726   precision 0.5167842645342254   recall 0.5344887744627482
deviation 5/5   iterations 210/2000   F1 0.5201742650182056   accuracy 0.6576227390180879   precision 0.5220424528676956   recall 0.5327343423285692
deviation 5/5   iterations 220/2000   F1 0.529114907802264   accuracy 0.627906976744186   precision 0.5296816050388732   recall 0.555857347942998
deviation 5/5   iterations 230/2000   F1 0.5327543251328664   accuracy 0.6459948320413437   precision 0.5279939347012518   recall 0.5488598281689492
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deviation 5/5   iterations 240/2000   F1 0.5215976417968569   accuracy 0.6550387596899225   precision 0.521967654986523   recall 0.5306194727701885
deviation 5/5   iterations 250/2000   F1 0.5362948241249107   accuracy 0.627906976744186   precision 0.5369602298231438   recall 0.5691662323627306
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deviation 5/5   iterations 260/2000   F1 0.5339797323317313   accuracy 0.6511627906976745   precision 0.5288516364465732   recall 0.547308672412186
deviation 5/5   iterations 270/2000   F1 0.5359982097771097   accuracy 0.6356589147286822   precision 0.5338275008837045   recall 0.5616767337458217
deviation 5/5   iterations 280/2000   F1 0.5371067569839847   accuracy 0.648578811369509   precision 0.5340233935859171   recall 0.5547726333837774
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deviation 5/5   iterations 290/2000   F1 0.5388065939168795   accuracy 0.6408268733850129   precision 0.5369171946548862   recall 0.5638556318788189
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deviation 5/5   iterations 300/2000   F1 0.5453603639142967   accuracy 0.6511627906976745   precision 0.5395273788880098   recall 0.565669583533064
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deviation 5/5   iterations 310/2000   F1 0.5490461031645529   accuracy 0.6550387596899225   precision 0.5425811707276238   recall 0.5686132173178192
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deviation 5/5   iterations 320/2000   F1 0.5265467933276918   accuracy 0.6188630490956072   precision 0.5420242103575437   recall 0.5619928594612139
deviation 5/5   iterations 330/2000   F1 0.5519304292098551   accuracy 0.6640826873385013   precision 0.5455392723588138   recall 0.5680727866342441
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deviation 5/5   iterations 340/2000   F1 0.5242366760839398   accuracy 0.6098191214470284   precision 0.5380613130092636   recall 0.5623296448447282
deviation 5/5   iterations 350/2000   F1 0.5524328601789846   accuracy 0.6589147286821705   precision 0.5459402153797444   recall 0.5725572463417016
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deviation 5/5   iterations 360/2000   F1 0.5432401663483502   accuracy 0.6511627906976745   precision 0.5421043346512665   recall 0.5650085971273715
deviation 5/5   iterations 370/2000   F1 0.5522532086636486   accuracy 0.665374677002584   precision 0.5457514985519473   recall 0.5671044056824254
deviation 5/5   iterations 380/2000   F1 0.5197824289052175   accuracy 0.6201550387596899   precision 0.5365780851696992   recall 0.551377766212736
deviation 5/5   iterations 390/2000   F1 0.5474350887258375   accuracy 0.6576227390180879   precision 0.5440485039182361   recall 0.5675410871199348
deviation 5/5   iterations 400/2000   F1 0.5271916473960641   accuracy 0.6266149870801033   precision 0.5314001410418969   recall 0.5535708473718648
deviation 5/5   iterations 410/2000   F1 0.5469228010222192   accuracy 0.6589147286821705   precision 0.5413538724860932   recall 0.564504033923175
deviation 5/5   iterations 420/2000   F1 0.5291134309064024   accuracy 0.6369509043927648   precision 0.5324559803713066   recall 0.5504006540916514
deviation 5/5   iterations 430/2000   F1 0.529275719522508   accuracy 0.6369509043927648   precision 0.5318493352979713   recall 0.5503327723249645
deviation 5/5   iterations 440/2000   F1 0.533922350784439   accuracy 0.6356589147286822   precision 0.5442873414241389   recall 0.5630844195850703
deviation 5/5   iterations 450/2000   F1 0.5527115974341219   accuracy 0.6679586563307494   precision 0.547990987520079   recall 0.5678294206627342
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deviation 5/5   iterations 460/2000   F1 0.5431089243468747   accuracy 0.6434108527131783   precision 0.5426539294756348   recall 0.5705651870327133
deviation 5/5   iterations 470/2000   F1 0.5444802473944502   accuracy 0.6602067183462532   precision 0.5403953261042533   recall 0.5601450079150304
deviation 5/5   iterations 480/2000   F1 0.5437434330903798   accuracy 0.6447028423772609   precision 0.5480467851391765   recall 0.5740557281430344
deviation 5/5   iterations 490/2000   F1 0.551211265785285   accuracy 0.6563307493540051   precision 0.5476549677880219   recall 0.5747655353120869
deviation 5/5   iterations 500/2000   F1 0.5396958453919977   accuracy 0.6498708010335917   precision 0.5380427455270806   recall 0.5599245561389179
deviation 5/5   iterations 510/2000   F1 0.5394604765184129   accuracy 0.6459948320413437   precision 0.5389531226530974   recall 0.5622365943553688
deviation 5/5   iterations 520/2000   F1 0.5399971748380459   accuracy 0.6382428940568475   precision 0.5489896312006598   recall 0.5723878698562243
deviation 5/5   iterations 530/2000   F1 0.5383770448779636   accuracy 0.6421188630490956   precision 0.535379620407311   recall 0.5617510921544993
deviation 5/5   iterations 540/2000   F1 0.5348358696415992   accuracy 0.6421188630490956   precision 0.5558761142559697   recall 0.5658884366443813
deviation 5/5   iterations 550/2000   F1 0.5322673484686228   accuracy 0.648578811369509   precision 0.5292051511809577   recall 0.547651934437691
deviation 5/5   iterations 560/2000   F1 0.5328530907137982   accuracy 0.6472868217054264   precision 0.5327960431308366   recall 0.5506889876344508
deviation 5/5   iterations 570/2000   F1 0.5392214223484041   accuracy 0.6317829457364341   precision 0.5575210230382645   recall 0.580502487399447
deviation 5/5   iterations 580/2000   F1 0.5316879812218153   accuracy 0.6498708010335917   precision 0.5286061367808436   recall 0.5465477899524983
deviation 5/5   iterations 590/2000   F1 0.53829069584803   accuracy 0.6459948320413437   precision 0.5438979289249368   recall 0.5624402396554294
deviation 5/5   iterations 600/2000   F1 0.5269495698411361   accuracy 0.6162790697674418   precision 0.540262697052639   recall 0.5622682397200319
deviation 5/5   iterations 610/2000   F1 0.5411031865482309   accuracy 0.661498708010336   precision 0.5376347428420717   recall 0.5547855866677587
deviation 5/5   iterations 620/2000   F1 0.5214513463701929   accuracy 0.6149870801033591   precision 0.5301025901472829   recall 0.5517927631969984
deviation 5/5   iterations 630/2000   F1 0.5336771947827224   accuracy 0.6524547803617571   precision 0.5380206740391373   recall 0.5500703453501277
deviation 5/5   iterations 640/2000   F1 0.5404701118986833   accuracy 0.6524547803617571   precision 0.5364728961468931   recall 0.5593097670466651
deviation 5/5   iterations 650/2000   F1 0.527920227920228   accuracy 0.6369509043927648   precision 0.5429821941073794   recall 0.5551311032205389
deviation 5/5   iterations 660/2000   F1 0.5230955279140833   accuracy 0.6253229974160207   precision 0.5313074352548037   recall 0.5495550833892251
deviation 5/5   iterations 670/2000   F1 0.538709858781454   accuracy 0.6563307493540051   precision 0.5349108357811713   recall 0.5536749655405754
deviation 5/5   iterations 680/2000   F1 0.5286162670520523   accuracy 0.627906976744186   precision 0.5359935972620702   recall 0.5561288750097457
deviation 5/5   iterations 690/2000   F1 0.5378774849918025   accuracy 0.6472868217054264   precision 0.5427759719942644   recall 0.5613360951702369
deviation 5/5   iterations 700/2000   F1 0.5285632137147425   accuracy 0.6266149870801033   precision 0.5365734361794492   recall 0.5572330194949383
deviation 5/5   iterations 710/2000   F1 0.5512895076172635   accuracy 0.6602067183462532   precision 0.5510449282613136   recall 0.5743864058072031
deviation 5/5   iterations 720/2000   F1 0.5454371803673571   accuracy 0.6498708010335917   precision 0.5439829109429651   recall 0.5696391502022639
deviation 5/5   iterations 730/2000   F1 0.5189450297030919   accuracy 0.6201550387596899   precision 0.5406459426981884   recall 0.5532427931576164
deviation 5/5   iterations 740/2000   F1 0.5258882406361102   accuracy 0.6291989664082688   precision 0.5340296724826782   recall 0.5525665989406673
deviation 5/5   iterations 750/2000   F1 0.5444673693245144   accuracy 0.6589147286821705   precision 0.5437064426921405   recall 0.56224954763935
deviation 5/5   iterations 760/2000   F1 0.5319624241035629   accuracy 0.624031007751938   precision 0.5381015430438931   recall 0.5664262438780362
deviation 5/5   iterations 770/2000   F1 0.533641005172213   accuracy 0.6382428940568475   precision 0.5424700902977859   recall 0.5636736710320053
deviation 5/5   iterations 780/2000   F1 0.5397135612546794   accuracy 0.6459948320413437   precision 0.5386123147611711   recall 0.5632369895944959
deviation 5/5   iterations 790/2000   F1 0.546920378987782   accuracy 0.6472868217054264   precision 0.5466839880251474   recall 0.5762384794681021
deviation 5/5   iterations 800/2000   F1 0.5214760452800724   accuracy 0.6214470284237726   precision 0.5414945981672531   recall 0.5601239793242633
deviation 5/5   iterations 810/2000   F1 0.5369724880548038   accuracy 0.6304909560723514   precision 0.5455866315869747   recall 0.5744180511718664
deviation 5/5   iterations 820/2000   F1 0.5333634531916781   accuracy 0.6253229974160207   precision 0.5475105638281066   recall 0.5725785618723037
deviation 5/5   iterations 830/2000   F1 0.5375608777636504   accuracy 0.6498708010335917   precision 0.5347856860654375   recall 0.555533515843465
deviation 5/5   iterations 840/2000   F1 0.5326999353273026   accuracy 0.6317829457364341   precision 0.544934830964943   recall 0.5690586299245947
deviation 5/5   iterations 850/2000   F1 0.5455125489641097   accuracy 0.6537467700258398   precision 0.5470396421160428   recall 0.5683275072249402
deviation 5/5   iterations 860/2000   F1 0.5365191879811763   accuracy 0.6188630490956072   precision 0.5505258096311474   recall 0.582218797526972
deviation 5/5   iterations 870/2000   F1 0.5545734060890622   accuracy 0.6576227390180879   precision 0.5575626435563585   recall 0.5818503667787945
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deviation 5/5   iterations 880/2000   F1 0.5479792973811869   accuracy 0.6421188630490956   precision 0.5515560398129881   recall 0.5822485572870052
deviation 5/5   iterations 890/2000   F1 0.5473114316416873   accuracy 0.6627906976744186   precision 0.5442507270523386   recall 0.5633960362459121
deviation 5/5   iterations 900/2000   F1 0.5109896111086053   accuracy 0.599483204134367   precision 0.541782619177685   recall 0.5571929299008443
deviation 5/5   iterations 910/2000   F1 0.5255310241429892   accuracy 0.6227390180878553   precision 0.5450095623067389   recall 0.5660726520184701
deviation 5/5   iterations 920/2000   F1 0.5411726753173488   accuracy 0.6498708010335917   precision 0.5391926535215836   recall 0.5617217013171113
deviation 5/5   iterations 930/2000   F1 0.5430504833512353   accuracy 0.6627906976744186   precision 0.5454646511869513   recall 0.5582082460113927
deviation 5/5   iterations 940/2000   F1 0.537884495516601   accuracy 0.6369509043927648   precision 0.5380333526729644   recall 0.5653030383895166
deviation 5/5   iterations 950/2000   F1 0.532574179180857   accuracy 0.6343669250645995   precision 0.5412915385741472   recall 0.5615267871863163
deviation 5/5   iterations 960/2000   F1 0.5316711910265369   accuracy 0.6253229974160207   precision 0.5400892165934071   recall 0.5635249542146501
deviation 5/5   iterations 970/2000   F1 0.5179851656424844   accuracy 0.6214470284237726   precision 0.5470189160635656   recall 0.5531390439115507
deviation 5/5   iterations 980/2000   F1 0.5468912272835974   accuracy 0.6498708010335917   precision 0.5453419516437105   recall 0.5722330453195235
deviation 5/5   iterations 990/2000   F1 0.5339957969159846   accuracy 0.6395348837209303   precision 0.5499750862559877   recall 0.5662316986698863
deviation 5/5   iterations 1000/2000   F1 0.5392029506551119   accuracy 0.6408268733850129   precision 0.5406886071456302   recall 0.5665852905294524
deviation 5/5   iterations 1010/2000   F1 0.5386001692623491   accuracy 0.6356589147286822   precision 0.5493201024985866   recall 0.5727990136484162
deviation 5/5   iterations 1020/2000   F1 0.5307870041644382   accuracy 0.6227390180878553   precision 0.5466293936838439   recall 0.5703279287805492
deviation 5/5   iterations 1030/2000   F1 0.5500302407503308   accuracy 0.6563307493540051   precision 0.5516685343813004   recall 0.5759016940845877
deviation 5/5   iterations 1040/2000   F1 0.5333445880139486   accuracy 0.6266149870801033   precision 0.5434156263383242   recall 0.5678801270307244
deviation 5/5   iterations 1050/2000   F1 0.5392510559611011   accuracy 0.6395348837209303   precision 0.5405276350022209   recall 0.567689435014645
deviation 5/5   iterations 1060/2000   F1 0.5310836930361862   accuracy 0.627906976744186   precision 0.5419833371463434   recall 0.563317455722519
deviation 5/5   iterations 1070/2000   F1 0.5407533198441756   accuracy 0.6382428940568475   precision 0.5544951978375892   recall 0.5795764505689976
deviation 5/5   iterations 1080/2000   F1 0.5317661476355248   accuracy 0.6266149870801033   precision 0.538615721400655   recall 0.5633533232018976
deviation 5/5   iterations 1090/2000   F1 0.5258389917772909   accuracy 0.6214470284237726   precision 0.5355170241751862   recall 0.556258161901129
deviation 5/5   iterations 1100/2000   F1 0.5431677675211651   accuracy 0.6395348837209303   precision 0.5517345394300802   recall 0.5766072791389247
deviation 5/5   iterations 1110/2000   F1 0.5400274348422497   accuracy 0.6421188630490956   precision 0.5437167492231221   recall 0.5682786864615801
deviation 5/5   iterations 1120/2000   F1 0.5318404088893832   accuracy 0.6291989664082688   precision 0.5428166704796767   recall 0.5640104564155197
deviation 5/5   iterations 1130/2000   F1 0.5475442787788646   accuracy 0.6589147286821705   precision 0.5477676167129618   recall 0.5702348782911897
deviation 5/5   iterations 1140/2000   F1 0.5402728398270281   accuracy 0.6537467700258398   precision 0.5459259689372336   recall 0.5631397169904209
deviation 5/5   iterations 1150/2000   F1 0.5169278581239825   accuracy 0.6136950904392765   precision 0.5391119595483352   recall 0.5487773944534858
deviation 5/5   iterations 1160/2000   F1 0.5514089599025246   accuracy 0.661498708010336   precision 0.5481213767756691   recall 0.5714851161438171
deviation 5/5   iterations 1170/2000   F1 0.5458245293434603   accuracy 0.6447028423772609   precision 0.5565966613951431   recall 0.5785146502051742
deviation 5/5   iterations 1180/2000   F1 0.5308577713309707   accuracy 0.6188630490956072   precision 0.5477384240864772   recall 0.5717074535245598
deviation 5/5   iterations 1190/2000   F1 0.5465070991882269   accuracy 0.6524547803617571   precision 0.5563275239565805   recall 0.5720934285940792
deviation 5/5   iterations 1200/2000   F1 0.5309672962198799   accuracy 0.6214470284237726   precision 0.5405100591320248   recall 0.5649723607253478
deviation 5/5   iterations 1210/2000   F1 0.5546709266188014   accuracy 0.6589147286821705   precision 0.5513339735037849   recall 0.5798137088211618
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deviation 5/5   iterations 1220/2000   F1 0.5149421820010055   accuracy 0.6111111111111112   precision 0.5461136249371544   recall 0.5510535651905579
deviation 5/5   iterations 1230/2000   F1 0.516665315647504   accuracy 0.6046511627906976   precision 0.5390135633208065   recall 0.5562348787830865
deviation 5/5   iterations 1240/2000   F1 0.5301278959848328   accuracy 0.6304909560723514   precision 0.5521891365241749   recall 0.5657717341143343
deviation 5/5   iterations 1250/2000   F1 0.5362344971928782   accuracy 0.6343669250645995   precision 0.5389813119250833   recall 0.5657141821817085
deviation 5/5   iterations 1260/2000   F1 0.5027777777777778   accuracy 0.5930232558139535   precision 0.5402115780322644   recall 0.5494047679070748
deviation 5/5   iterations 1270/2000   F1 0.5392427326468557   accuracy 0.6408268733850129   precision 0.5466621417575337   recall 0.5684503174743326
deviation 5/5   iterations 1280/2000   F1 0.553437871109104   accuracy 0.665374677002584   precision 0.5475102548966185   recall 0.5708344595721858
deviation 5/5   iterations 1290/2000   F1 0.503645504690136   accuracy 0.6046511627906976   precision 0.534348032242769   recall 0.5370772177231422
deviation 5/5   iterations 1300/2000   F1 0.5433268773483144   accuracy 0.6537467700258398   precision 0.5510490989864799   recall 0.5675307572858738
deviation 5/5   iterations 1310/2000   F1 0.521114238128127   accuracy 0.6227390180878553   precision 0.5389923432284657   recall 0.5501019907147909
deviation 5/5   iterations 1320/2000   F1 0.503838018957356   accuracy 0.5891472868217055   precision 0.5303974449875696   recall 0.5444603436440655
deviation 5/5   iterations 1330/2000   F1 0.5543747385354653   accuracy 0.6692506459948321   precision 0.547827045471973   recall 0.5693870530614882
deviation 5/5   iterations 1340/2000   F1 0.5312364945096903   accuracy 0.627906976744186   precision 0.5391018013365962   recall 0.5632495739558321
deviation 5/5   iterations 1350/2000   F1 0.5055677580741816   accuracy 0.5956072351421189   precision 0.5438110349685547   recall 0.5471964789366895
deviation 5/5   iterations 1360/2000   F1 0.5375332661246907   accuracy 0.6382428940568475   precision 0.5416665137973936   recall 0.5661318026158911
deviation 5/5   iterations 1370/2000   F1 0.5338581302828986   accuracy 0.6291989664082688   precision 0.5459164944721288   recall 0.5684014967109726
deviation 5/5   iterations 1380/2000   F1 0.5298133135739952   accuracy 0.6227390180878553   precision 0.5432011906372615   recall 0.5649364932459692
deviation 5/5   iterations 1390/2000   F1 0.5316609402778377   accuracy 0.6304909560723514   precision 0.5453477065510524   recall 0.5647713388752074
deviation 5/5   iterations 1400/2000   F1 0.5353598258071445   accuracy 0.6356589147286822   precision 0.5465706084485097   recall 0.5684079733529633
deviation 5/5   iterations 1410/2000   F1 0.5314595097413761   accuracy 0.6266149870801033   precision 0.546969696969697   recall 0.5670833770916582
deviation 5/5   iterations 1420/2000   F1 0.5505313751921895   accuracy 0.6563307493540051   precision 0.5521406801027654   recall 0.5749012988454606
deviation 5/5   iterations 1430/2000   F1 0.5413840025739938   accuracy 0.6330749354005168   precision 0.5462549894504979   recall 0.5773975524360003
deviation 5/5   iterations 1440/2000   F1 0.5327230523273689   accuracy 0.6266149870801033   precision 0.5486313383199127   recall 0.5697451539756047
deviation 5/5   iterations 1450/2000   F1 0.5266480015004433   accuracy 0.6111111111111112   precision 0.5460440646436461   recall 0.5702112262505022
deviation 5/5   iterations 1460/2000   F1 0.5317629449645859   accuracy 0.6188630490956072   precision 0.5501313710095802   recall 0.5743692304085064
deviation 5/5   iterations 1470/2000   F1 0.5270087094086507   accuracy 0.6201550387596899   precision 0.5491869918699187   recall 0.5654834005715349
deviation 5/5   iterations 1480/2000   F1 0.5389654976733628   accuracy 0.6408268733850129   precision 0.5415418639019337   recall 0.565720658823699
deviation 5/5   iterations 1490/2000   F1 0.5350113511331449   accuracy 0.6369509043927648   precision 0.5482086355144866   recall 0.5619802750998776
deviation 5/5   iterations 1500/2000   F1 0.5349165626913029   accuracy 0.6356589147286822   precision 0.5457804177330826   recall 0.5630165378183833
deviation 5/5   iterations 1510/2000   F1 0.5487337847923971   accuracy 0.6563307493540051   precision 0.5475413293308099   recall 0.571307008489074
deviation 5/5   iterations 1520/2000   F1 0.5598055720604741   accuracy 0.6744186046511628   precision 0.5540773318123673   recall 0.5756854644231907
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deviation 5/5   iterations 1530/2000   F1 0.5508654988075072   accuracy 0.6511627906976745   precision 0.5541504799284446   recall 0.5791142314861705
deviation 5/5   iterations 1540/2000   F1 0.5469999884823146   accuracy 0.6395348837209303   precision 0.5617451331737046   recall 0.5835922145516372
deviation 5/5   iterations 1550/2000   F1 0.5505632668721335   accuracy 0.6421188630490956   precision 0.5622884831324684   recall 0.5875721110548983
deviation 5/5   iterations 1560/2000   F1 0.5545657812935549   accuracy 0.6563307493540051   precision 0.555527761480076   recall 0.5818862342581732
deviation 5/5   iterations 1570/2000   F1 0.5263121436227478   accuracy 0.6085271317829457   precision 0.5450499036838994   recall 0.5678248296253737
deviation 5/5   iterations 1580/2000   F1 0.5541931941996688   accuracy 0.6472868217054264   precision 0.5619482844144824   recall 0.5912087455326542
deviation 5/5   iterations 1590/2000   F1 0.5521104598360821   accuracy 0.6447028423772609   precision 0.5578108058691243   recall 0.5888902306742126
deviation 5/5   iterations 1600/2000   F1 0.5458046968057492   accuracy 0.6395348837209303   precision 0.557863578097275   recall 0.5845247280240774
deviation 5/5   iterations 1610/2000   F1 0.5543295594894104   accuracy 0.665374677002584   precision 0.5546580381930275   recall 0.5744287499285724
deviation 5/5   iterations 1620/2000   F1 0.5223111777267193   accuracy 0.6072351421188631   precision 0.5447398764620982   recall 0.5610115252254139
deviation 5/5   iterations 1630/2000   F1 0.5653292181069959   accuracy 0.6666666666666666   precision 0.569952677615638   recall 0.5945509387482651
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deviation 5/5   iterations 1640/2000   F1 0.554004628690279   accuracy 0.648578811369509   precision 0.5595612938640001   recall 0.5883074558692682
deviation 5/5   iterations 1650/2000   F1 0.5415378103243597   accuracy 0.6330749354005168   precision 0.5592899412856123   recall 0.5811276063257608
deviation 5/5   iterations 1660/2000   F1 0.5583957536706243   accuracy 0.6589147286821705   precision 0.5625088796396273   recall 0.5867986442338743
deviation 5/5   iterations 1670/2000   F1 0.5485147718972917   accuracy 0.6459948320413437   precision 0.5514324241023271   recall 0.5808011507763076
deviation 5/5   iterations 1680/2000   F1 0.546724406310426   accuracy 0.6447028423772609   precision 0.5494860282504843   recall 0.5774463731993603
deviation 5/5   iterations 1690/2000   F1 0.5545607871427544   accuracy 0.6537467700258398   precision 0.5577673983614577   recall 0.5840266414618717
deviation 5/5   iterations 1700/2000   F1 0.5398668164622195   accuracy 0.6266149870801033   precision 0.5572386366899246   recall 0.5810532479170831
deviation 5/5   iterations 1710/2000   F1 0.561957129500737   accuracy 0.6718346253229974   precision 0.5566191607284244   recall 0.582149030155655
deviation 5/5   iterations 1720/2000   F1 0.5452145183609253   accuracy 0.6472868217054264   precision 0.5536926367760543   recall 0.5727799526450893
deviation 5/5   iterations 1730/2000   F1 0.5352418242425678   accuracy 0.627906976744186   precision 0.5537882941449839   recall 0.5739645632583051
deviation 5/5   iterations 1740/2000   F1 0.5455015270554067   accuracy 0.6317829457364341   precision 0.5566490299823633   recall 0.5872837775120988
deviation 5/5   iterations 1750/2000   F1 0.5461866917309559   accuracy 0.6421188630490956   precision 0.553566816319412   recall 0.5796546621697456
deviation 5/5   iterations 1760/2000   F1 0.546642224662098   accuracy 0.6421188630490956   precision 0.5505024623599545   recall 0.5786542669306185
deviation 5/5   iterations 1770/2000   F1 0.5355598038366516   accuracy 0.6266149870801033   precision 0.5494830580497357   recall 0.575865457682564
deviation 5/5   iterations 1780/2000   F1 0.5471320114352474   accuracy 0.6395348837209303   precision 0.5605235309300525   recall 0.5889836500862172
deviation 5/5   iterations 1790/2000   F1 0.5610385985320994   accuracy 0.6627906976744186   precision 0.5556470878985089   recall 0.5868768558346223
deviation 5/5   iterations 1800/2000   F1 0.5592535442630319   accuracy 0.6705426356589147   precision 0.5541118881118882   recall 0.5770649891672014
deviation 5/5   iterations 1810/2000   F1 0.5560268432554906   accuracy 0.6589147286821705   precision 0.5502284907646665   recall 0.5795421817544141
deviation 5/5   iterations 1820/2000   F1 0.5397042835399   accuracy 0.6304909560723514   precision 0.5548591607930103   recall 0.5806062366455127
deviation 5/5   iterations 1830/2000   F1 0.551646765295738   accuracy 0.6511627906976745   precision 0.557698118144082   recall 0.5819117719034907
deviation 5/5   iterations 1840/2000   F1 0.550547328488505   accuracy 0.6421188630490956   precision 0.556337636443637   recall 0.5893692562330916
deviation 5/5   iterations 1850/2000   F1 0.5546003493017881   accuracy 0.6627906976744186   precision 0.5551911029010738   recall 0.5792988157829043
deviation 5/5   iterations 1860/2000   F1 0.554407136860669   accuracy 0.661498708010336   precision 0.552066033404896   recall 0.5785379333232167
deviation 5/5   iterations 1870/2000   F1 0.5367992806427881   accuracy 0.6214470284237726   precision 0.5554032094876219   recall 0.5792137586175206
deviation 5/5   iterations 1880/2000   F1 0.5415508019826721   accuracy 0.6330749354005168   precision 0.5522700327941278   recall 0.5774654342026873
deviation 5/5   iterations 1890/2000   F1 0.5503550939819947   accuracy 0.6498708010335917   precision 0.5520968969350876   recall 0.5794216260322967
deviation 5/5   iterations 1900/2000   F1 0.553660496183421   accuracy 0.6563307493540051   precision 0.5534424172436457   recall 0.5802248526133537
deviation 5/5   iterations 1910/2000   F1 0.5469565091031644   accuracy 0.6434108527131783   precision 0.5484423179160022   recall 0.5794151493903061
deviation 5/5   iterations 1920/2000   F1 0.548473355801153   accuracy 0.6369509043927648   precision 0.5568593302339755   recall 0.5891911485783484
deviation 5/5   iterations 1930/2000   F1 0.5437495651453044   accuracy 0.6459948320413437   precision 0.5529475571719008   recall 0.5730194654245288
deviation 5/5   iterations 1940/2000   F1 0.5421998921998922   accuracy 0.6356589147286822   precision 0.5547173482382907   recall 0.5798518308278157
deviation 5/5   iterations 1950/2000   F1 0.5454201783736532   accuracy 0.6369509043927648   precision 0.5496044563389525   recall 0.5802054226873817
deviation 5/5   iterations 1960/2000   F1 0.5469537425298755   accuracy 0.6447028423772609   precision 0.5534561342230883   recall 0.5793114001442405
deviation 5/5   iterations 1970/2000   F1 0.53460897124042   accuracy 0.6253229974160207   precision 0.5465401135458902   recall 0.5706456531607366
deviation 5/5   iterations 1980/2000   F1 0.5559147229270338   accuracy 0.6640826873385013   precision 0.5533087971186138   recall 0.5771942760585845
deviation 5/5   iterations 1990/2000   F1 0.5633460656643922   accuracy 0.6744186046511628   precision 0.5573791284230399   recall 0.5809411364243968
deviation 5/5   iterations 2000/2000   F1 0.5541999484538688   accuracy 0.6472868217054264   precision 0.5505615454879788   recall 0.5865461781704536

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deviation 1/5   iterations 10/2000   F1 0.2873590710125035   accuracy 0.38788659793814434   precision 0.4536957250227392   recall 0.38621479126281383
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deviation 1/5   iterations 20/2000   F1 0.33112801478905896   accuracy 0.49742268041237114   precision 0.4151116749317649   recall 0.3954783144023834
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deviation 1/5   iterations 30/2000   F1 0.4753282148017912   accuracy 0.6469072164948454   precision 0.5168351747027665   recall 0.4800714241799065
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deviation 1/5   iterations 40/2000   F1 0.448991902930952   accuracy 0.6262886597938144   precision 0.47362263059937476   recall 0.44560716049593835
deviation 1/5   iterations 50/2000   F1 0.48875110714430553   accuracy 0.6520618556701031   precision 0.49388025764407467   recall 0.4858768883617512
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deviation 1/5   iterations 60/2000   F1 0.4647109893502083   accuracy 0.6494845360824743   precision 0.48936907748881087   recall 0.4587290225571257
deviation 1/5   iterations 70/2000   F1 0.5095516888185846   accuracy 0.6585051546391752   precision 0.5108117395612036   recall 0.508599036412814
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deviation 1/5   iterations 80/2000   F1 0.5039794695547969   accuracy 0.6443298969072165   precision 0.5052829745557754   recall 0.5062373398381372
deviation 1/5   iterations 90/2000   F1 0.5045231093324366   accuracy 0.6585051546391752   precision 0.5084096648301194   recall 0.5034460884247797
deviation 1/5   iterations 100/2000   F1 0.5217478368829522   accuracy 0.6597938144329897   precision 0.5269781638036509   recall 0.525212181768064
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deviation 1/5   iterations 110/2000   F1 0.520246465087605   accuracy 0.6701030927835051   precision 0.5208249732883078   recall 0.5216937001202346
deviation 1/5   iterations 120/2000   F1 0.5350421308529527   accuracy 0.6752577319587629   precision 0.539327769878724   recall 0.5378976079699319
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deviation 1/5   iterations 130/2000   F1 0.5225618251480321   accuracy 0.6804123711340206   precision 0.5216163585169433   recall 0.5236058095357917
deviation 1/5   iterations 140/2000   F1 0.5143964755845379   accuracy 0.6314432989690721   precision 0.5227315160567588   recall 0.5257342842985288
deviation 1/5   iterations 150/2000   F1 0.515074761566093   accuracy 0.6713917525773195   precision 0.5222213109811427   recall 0.5130307394328492
deviation 1/5   iterations 160/2000   F1 0.5274599159879219   accuracy 0.654639175257732   precision 0.5263922518159806   recall 0.5378122263114756
deviation 1/5   iterations 170/2000   F1 0.5008485370966896   accuracy 0.615979381443299   precision 0.5186521787498316   recall 0.5097061071297553
deviation 1/5   iterations 180/2000   F1 0.5275169473524365   accuracy 0.6778350515463918   precision 0.5247110900544377   recall 0.5317623026745184
deviation 1/5   iterations 190/2000   F1 0.5302997584656973   accuracy 0.6752577319587629   precision 0.5262410370672659   recall 0.5389674234567886
deviation 1/5   iterations 200/2000   F1 0.5189421324289746   accuracy 0.6610824742268041   precision 0.5202784170056115   recall 0.5220982552744652
deviation 1/5   iterations 210/2000   F1 0.5157279072178684   accuracy 0.6713917525773195   precision 0.516301737164652   recall 0.5161883950161866
deviation 1/5   iterations 220/2000   F1 0.5252897449271096   accuracy 0.6597938144329897   precision 0.5231197136461627   recall 0.5342890623123243
deviation 1/5   iterations 230/2000   F1 0.514062269218599   accuracy 0.6404639175257731   precision 0.5188057565799887   recall 0.5216167874102566
deviation 1/5   iterations 240/2000   F1 0.5129900350534533   accuracy 0.6430412371134021   precision 0.5188429644218615   recall 0.5177544175948919
deviation 1/5   iterations 250/2000   F1 0.5116731088545879   accuracy 0.6481958762886598   precision 0.5127403408055403   recall 0.5169002752815417
deviation 1/5   iterations 260/2000   F1 0.5168694765207279   accuracy 0.6559278350515464   precision 0.5256150459468265   recall 0.5197021943126939
deviation 1/5   iterations 270/2000   F1 0.5143247505703967   accuracy 0.6520618556701031   precision 0.511545040775508   recall 0.5290032169789388
deviation 1/5   iterations 280/2000   F1 0.5109616977885412   accuracy 0.6443298969072165   precision 0.5204835394470616   recall 0.5142444048955408
deviation 1/5   iterations 290/2000   F1 0.5195458056666227   accuracy 0.645618556701031   precision 0.5225746961810026   recall 0.5286771624625258
deviation 1/5   iterations 300/2000   F1 0.5153005747424015   accuracy 0.6404639175257731   precision 0.5198778061949417   recall 0.5241007137124898
deviation 1/5   iterations 310/2000   F1 0.5192557850894466   accuracy 0.6443298969072165   precision 0.5233328263451887   recall 0.5280781472220831
deviation 1/5   iterations 320/2000   F1 0.5238984785682025   accuracy 0.6688144329896907   precision 0.5346491228070175   recall 0.523948801949161
deviation 1/5   iterations 330/2000   F1 0.5157999587611238   accuracy 0.6533505154639175   precision 0.5215597323093549   recall 0.5189927977293447
deviation 1/5   iterations 340/2000   F1 0.5120881726618282   accuracy 0.6327319587628866   precision 0.5161156391342622   recall 0.5234791824696025
deviation 1/5   iterations 350/2000   F1 0.5166353379591426   accuracy 0.6404639175257731   precision 0.519046904690469   recall 0.5275360123711793
deviation 1/5   iterations 360/2000   F1 0.5151399728234103   accuracy 0.634020618556701   precision 0.5249522183230981   recall 0.5253997608336377
deviation 1/5   iterations 370/2000   F1 0.5202082195574214   accuracy 0.6623711340206185   precision 0.5272898525489341   recall 0.5221160889255877
deviation 1/5   iterations 380/2000   F1 0.5148976220768257   accuracy 0.6353092783505154   precision 0.5213160761105966   recall 0.5257211329987285
deviation 1/5   iterations 390/2000   F1 0.5128071143649122   accuracy 0.6314432989690721   precision 0.5232633215487373   recall 0.5221138902562711
deviation 1/5   iterations 400/2000   F1 0.5202734629315576   accuracy 0.6430412371134021   precision 0.5273706671112331   recall 0.529196781310985
deviation 1/5   iterations 410/2000   F1 0.5000316363529014   accuracy 0.6211340206185567   precision 0.5157929276196995   recall 0.5062754908223878
deviation 1/5   iterations 420/2000   F1 0.5014506606290705   accuracy 0.6108247422680413   precision 0.5144475611020424   recall 0.5136253573346591
deviation 1/5   iterations 430/2000   F1 0.5192934181818468   accuracy 0.6533505154639175   precision 0.5232756440483369   recall 0.5241457457173789
deviation 1/5   iterations 440/2000   F1 0.5223208787762189   accuracy 0.6507731958762887   precision 0.5260122938281442   recall 0.5298183125538726
deviation 1/5   iterations 450/2000   F1 0.5182552350549158   accuracy 0.6430412371134021   precision 0.5217035029374705   recall 0.5282454089545287
deviation 1/5   iterations 460/2000   F1 0.5144262576145681   accuracy 0.6494845360824743   precision 0.520790715790952   recall 0.5186357582620089
deviation 1/5   iterations 470/2000   F1 0.5219277597387569   accuracy 0.6610824742268041   precision 0.5295699109386792   recall 0.5249523723438344
deviation 1/5   iterations 480/2000   F1 0.5030464135281157   accuracy 0.6134020618556701   precision 0.5135809586368829   recall 0.5176775048849139
deviation 1/5   iterations 490/2000   F1 0.49822001084306883   accuracy 0.604381443298969   precision 0.5283054635995813   recall 0.5125330258453579
deviation 1/5   iterations 500/2000   F1 0.4989096579906575   accuracy 0.615979381443299   precision 0.5184264648434294   recall 0.5071296331357381
deviation 1/5   iterations 510/2000   F1 0.5094795485941624   accuracy 0.6262886597938144   precision 0.5181368390900657   recall 0.5211578355484927
deviation 1/5   iterations 520/2000   F1 0.5122293706634914   accuracy 0.634020618556701   precision 0.5273730347966321   recall 0.5202468128456034
deviation 1/5   iterations 530/2000   F1 0.5144457018664065   accuracy 0.6417525773195877   precision 0.5282142738781733   recall 0.5208683440884907
deviation 1/5   iterations 540/2000   F1 0.5127610202595195   accuracy 0.6275773195876289   precision 0.518397571161106   recall 0.5302525497438754
deviation 1/5   iterations 550/2000   F1 0.5341724470902987   accuracy 0.6817010309278351   precision 0.5401936031419674   recall 0.5361099269512478
deviation 1/5   iterations 560/2000   F1 0.5379789145907398   accuracy 0.6739690721649485   precision 0.5354552570371373   recall 0.5464680209655334
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deviation 1/5   iterations 570/2000   F1 0.5347232625884312   accuracy 0.6623711340206185   precision 0.5348767639206713   recall 0.5465333703035508
deviation 1/5   iterations 580/2000   F1 0.5264326520852651   accuracy 0.6623711340206185   precision 0.5378111249296684   recall 0.5328847233605765
deviation 1/5   iterations 590/2000   F1 0.5172290868306202   accuracy 0.6391752577319587   precision 0.5267507975712669   recall 0.528166012562545
deviation 1/5   iterations 600/2000   F1 0.5191644642889033   accuracy 0.6623711340206185   precision 0.5368439208052744   recall 0.5224862796927238
deviation 1/5   iterations 610/2000   F1 0.5114766283413709   accuracy 0.6134020618556701   precision 0.5241824022748701   recall 0.533321444232585
deviation 1/5   iterations 620/2000   F1 0.5196242101988967   accuracy 0.6572164948453608   precision 0.540454292084727   recall 0.5268682683565477
deviation 1/5   iterations 630/2000   F1 0.5081889840958506   accuracy 0.6134020618556701   precision 0.5260622087826939   recall 0.5258696653258855
deviation 1/5   iterations 640/2000   F1 0.5107991681521094   accuracy 0.6237113402061856   precision 0.5292511429856185   recall 0.5244390237745371
deviation 1/5   iterations 650/2000   F1 0.5268369928616609   accuracy 0.6662371134020618   precision 0.5352484935266392   recall 0.5322903904714558
deviation 1/5   iterations 660/2000   F1 0.5226116372939744   accuracy 0.6417525773195877   precision 0.5350366140829012   recall 0.5348871817986011
deviation 1/5   iterations 670/2000   F1 0.5202349919583343   accuracy 0.6353092783505154   precision 0.5362078850265536   recall 0.5350497611797246
deviation 1/5   iterations 680/2000   F1 0.5169970041129974   accuracy 0.6288659793814433   precision 0.533912099378777   recall 0.5324507711832628
deviation 1/5   iterations 690/2000   F1 0.5099704364551839   accuracy 0.6172680412371134   precision 0.5394150519181934   recall 0.523742778490988
deviation 1/5   iterations 700/2000   F1 0.5091657404006638   accuracy 0.6185567010309279   precision 0.5255013210855429   recall 0.5251080707043193
deviation 1/5   iterations 710/2000   F1 0.4893120024189092   accuracy 0.5889175257731959   precision 0.5327584294730435   recall 0.5097574094138063
deviation 1/5   iterations 720/2000   F1 0.5054272701025149   accuracy 0.625   precision 0.5280761108611985   recall 0.5183525370811688
deviation 1/5   iterations 730/2000   F1 0.5124069528910599   accuracy 0.6198453608247423   precision 0.5278273197054922   recall 0.532089049364605
deviation 1/5   iterations 740/2000   F1 0.48602149762141283   accuracy 0.5876288659793815   precision 0.5242737336997093   recall 0.5019176060888483
deviation 1/5   iterations 750/2000   F1 0.49629235066389193   accuracy 0.6262886597938144   precision 0.5189329051112914   recall 0.49959467123989887
deviation 1/5   iterations 760/2000   F1 0.5096403053075634   accuracy 0.6146907216494846   precision 0.5275503573749187   recall 0.5274200529227847
deviation 1/5   iterations 770/2000   F1 0.5177864853191475   accuracy 0.634020618556701   precision 0.5304092368654779   recall 0.5316891765616965
deviation 1/5   iterations 780/2000   F1 0.5078959633165452   accuracy 0.6301546391752577   precision 0.5251157690409508   recall 0.5155956500549057
deviation 1/5   iterations 790/2000   F1 0.5111556565212244   accuracy 0.625   precision 0.5339661992377854   recall 0.5261745067550043
deviation 1/5   iterations 800/2000   F1 0.4896112606771816   accuracy 0.5708762886597938   precision 0.5323989499181315   recall 0.5156269200185176
deviation 1/5   iterations 810/2000   F1 0.49489590025155517   accuracy 0.5940721649484536   precision 0.5318252057158146   recall 0.5105283687380168
deviation 1/5   iterations 820/2000   F1 0.5128637261298202   accuracy 0.6275773195876289   precision 0.5317794152218182   recall 0.5256548879065451
deviation 1/5   iterations 830/2000   F1 0.5301021707334729   accuracy 0.6649484536082474   precision 0.530768374478732   recall 0.5390506064459284
deviation 1/5   iterations 840/2000   F1 0.523456470311103   accuracy 0.6391752577319587   precision 0.5343064056697605   recall 0.5388420993057498
deviation 1/5   iterations 850/2000   F1 0.5192429962862675   accuracy 0.6237113402061856   precision 0.5354445597139575   recall 0.5383653137928633
deviation 1/5   iterations 860/2000   F1 0.5229477057172734   accuracy 0.6507731958762887   precision 0.5358516483516483   recall 0.5328575250068098
deviation 1/5   iterations 870/2000   F1 0.5183323197781976   accuracy 0.6430412371134021   precision 0.5377542612426333   recall 0.5288006951052328
deviation 1/5   iterations 880/2000   F1 0.4847704631795778   accuracy 0.5734536082474226   precision 0.5275837919169583   recall 0.502991208172861
deviation 1/5   iterations 890/2000   F1 0.4630756492485983   accuracy 0.5373711340206185   precision 0.5454822954822954   recall 0.4876180308799034
deviation 1/5   iterations 900/2000   F1 0.5101796700950006   accuracy 0.6108247422680413   precision 0.536907777465053   recall 0.5281069335036895
deviation 1/5   iterations 910/2000   F1 0.5207402587985784   accuracy 0.6623711340206185   precision 0.535407848495958   recall 0.5260141260431973
deviation 1/5   iterations 920/2000   F1 0.5382901825674283   accuracy 0.6701030927835051   precision 0.5387495910674917   recall 0.5472474492382222
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deviation 1/5   iterations 930/2000   F1 0.5129973481458014   accuracy 0.6353092783505154   precision 0.5285545423843296   recall 0.5209383757778302
deviation 1/5   iterations 940/2000   F1 0.5258353986042773   accuracy 0.6533505154639175   precision 0.5338216779605652   recall 0.5349143801523678
deviation 1/5   iterations 950/2000   F1 0.5109774828392946   accuracy 0.6237113402061856   precision 0.535688893037237   recall 0.5254829438227775
deviation 1/5   iterations 960/2000   F1 0.5013730029675472   accuracy 0.6134020618556701   precision 0.5360913459505009   recall 0.5157488647333849
deviation 1/5   iterations 970/2000   F1 0.5069007741828828   accuracy 0.6005154639175257   precision 0.5313643232606556   recall 0.5294450273632539
deviation 1/5   iterations 980/2000   F1 0.522077035032314   accuracy 0.6417525773195877   precision 0.532633801299527   recall 0.5339358094421447
deviation 1/5   iterations 990/2000   F1 0.529902942221454   accuracy 0.663659793814433   precision 0.5392947569154178   recall 0.5379629573079493
deviation 1/5   iterations 1000/2000   F1 0.48983353430299675   accuracy 0.5837628865979382   precision 0.522541343835354   recall 0.5102413609600204
deviation 1/5   iterations 1010/2000   F1 0.5110510026453263   accuracy 0.6275773195876289   precision 0.5390909805013728   recall 0.5241223339607685
deviation 1/5   iterations 1020/2000   F1 0.5264836129853431   accuracy 0.6275773195876289   precision 0.5423531742436728   recall 0.5483545199551635
deviation 1/5   iterations 1030/2000   F1 0.5153149391286109   accuracy 0.6198453608247423   precision 0.5388088360701561   recall 0.5347580710504062
deviation 1/5   iterations 1040/2000   F1 0.5114550353905821   accuracy 0.6224226804123711   precision 0.5319166137316244   recall 0.5273678548845678
deviation 1/5   iterations 1050/2000   F1 0.5147395397224125   accuracy 0.6378865979381443   precision 0.5273846235812959   recall 0.5231803263069562
deviation 1/5   iterations 1060/2000   F1 0.5215852202760494   accuracy 0.663659793814433   precision 0.5263649132964289   recall 0.5246178488789432
deviation 1/5   iterations 1070/2000   F1 0.4975628611932014   accuracy 0.595360824742268   precision 0.5327280463822776   recall 0.5192269967276472
deviation 1/5   iterations 1080/2000   F1 0.500822101911821   accuracy 0.6005154639175257   precision 0.5214899990104005   recall 0.520671685332962
deviation 1/5   iterations 1090/2000   F1 0.5023600202492157   accuracy 0.6301546391752577   precision 0.5293689901789685   recall 0.5160583885138258
deviation 1/5   iterations 1100/2000   F1 0.5368601296587968   accuracy 0.6791237113402062   precision 0.5337518891435631   recall 0.54312995234995
deviation 1/5   iterations 1110/2000   F1 0.5097918221442698   accuracy 0.6095360824742269   precision 0.5321139188869082   recall 0.5309432169219362
deviation 1/5   iterations 1120/2000   F1 0.48084306297220536   accuracy 0.5914948453608248   precision 0.5281938314729526   recall 0.4945452235741324
deviation 1/5   iterations 1130/2000   F1 0.49455088454877094   accuracy 0.586340206185567   precision 0.5130864953080375   recall 0.5208864627523023
deviation 1/5   iterations 1140/2000   F1 0.5247851074462768   accuracy 0.654639175257732   precision 0.534825800820966   recall 0.5349322138034903
deviation 1/5   iterations 1150/2000   F1 0.4987094109856711   accuracy 0.6056701030927835   precision 0.5317073690491412   recall 0.5141759611340411
deviation 1/5   iterations 1160/2000   F1 0.5300383946085069   accuracy 0.6610824742268041   precision 0.5305844375378532   recall 0.5398300347186171
deviation 1/5   iterations 1170/2000   F1 0.5010090328134136   accuracy 0.5992268041237113   precision 0.5246462534229525   recall 0.5210240424489756
deviation 1/5   iterations 1180/2000   F1 0.5088672768878718   accuracy 0.6314432989690721   precision 0.5403873512922229   recall 0.5228542717905433
deviation 1/5   iterations 1190/2000   F1 0.5139045420598819   accuracy 0.6224226804123711   precision 0.527788985593193   recall 0.5334721752290587
deviation 1/5   iterations 1200/2000   F1 0.5291341581313166   accuracy 0.6559278350515464   precision 0.5405660748762223   recall 0.5400104477508632
deviation 1/5   iterations 1210/2000   F1 0.5087053605921531   accuracy 0.6198453608247423   precision 0.5257813484987662   recall 0.5259847290201142
deviation 1/5   iterations 1220/2000   F1 0.520843621977524   accuracy 0.6327319587628866   precision 0.5341793107882217   recall 0.5380533063304168
deviation 1/5   iterations 1230/2000   F1 0.5289381898348267   accuracy 0.6520618556701031   precision 0.5395839828960848   recall 0.5395608605917434
deviation 1/5   iterations 1240/2000   F1 0.524372638039992   accuracy 0.6494845360824743   precision 0.534197033092909   recall 0.5365526330897289
deviation 1/5   iterations 1250/2000   F1 0.5281510673678803   accuracy 0.6520618556701031   precision 0.5347546182170458   recall 0.5405122329481997
deviation 1/5   iterations 1260/2000   F1 0.5173237375051875   accuracy 0.625   precision 0.5368266908212561   recall 0.5366654981146411
deviation 1/5   iterations 1270/2000   F1 0.530805121681198   accuracy 0.6623711340206185   precision 0.5407716528640442   recall 0.5371788466839384
deviation 1/5   iterations 1280/2000   F1 0.5044871978426124   accuracy 0.6121134020618557   precision 0.5304190933056078   recall 0.5228792714749936
deviation 1/5   iterations 1290/2000   F1 0.5027927296283754   accuracy 0.6301546391752577   precision 0.5057833149641171   recall 0.5133227145748568
deviation 1/5   iterations 1300/2000   F1 0.49228569346639456   accuracy 0.5979381443298969   precision 0.5146414950806323   recall 0.5081238388277672
deviation 1/5   iterations 1310/2000   F1 0.5196201934029389   accuracy 0.6533505154639175   precision 0.5311210539398459   recall 0.5263261335056438
deviation 1/5   iterations 1320/2000   F1 0.5346056076951441   accuracy 0.6610824742268041   precision 0.5430504879514934   recall 0.5452606257820035
deviation 1/5   iterations 1330/2000   F1 0.5189174945369213   accuracy 0.6327319587628866   precision 0.5254409027769716   recall 0.5342478169045912
deviation 1/5   iterations 1340/2000   F1 0.5082334311547795   accuracy 0.6275773195876289   precision 0.5321954476588558   recall 0.5187842905891661
deviation 1/5   iterations 1350/2000   F1 0.5294677415514023   accuracy 0.6649484536082474   precision 0.534632048092869   recall 0.5368443232190473
deviation 1/5   iterations 1360/2000   F1 0.5010932055610389   accuracy 0.6121134020618557   precision 0.5250628393628477   recall 0.5130620093964612
deviation 1/5   iterations 1370/2000   F1 0.5291152891952592   accuracy 0.6662371134020618   precision 0.5354443215339233   recall 0.5339154921090166
deviation 1/5   iterations 1380/2000   F1 0.508545335115792   accuracy 0.6443298969072165   precision 0.5147712790048556   recall 0.5132930325390844
deviation 1/5   iterations 1390/2000   F1 0.5257664026284753   accuracy 0.6597938144329897   precision 0.5340337821042519   recall 0.534170619181924
deviation 1/5   iterations 1400/2000   F1 0.5508552204123945   accuracy 0.7074742268041238   precision 0.550514782286816   recall 0.5512886441579932
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deviation 1/5   iterations 1410/2000   F1 0.4797011701303413   accuracy 0.5889175257731959   precision 0.5120537958773254   recall 0.49116680530498186
deviation 1/5   iterations 1420/2000   F1 0.5305734647143036   accuracy 0.6610824742268041   precision 0.5421562750505988   recall 0.5382974807728403
deviation 1/5   iterations 1430/2000   F1 0.5489790786847982   accuracy 0.711340206185567   precision 0.5490499956220997   recall 0.5522268652146491
deviation 1/5   iterations 1440/2000   F1 0.5258448853011943   accuracy 0.663659793814433   precision 0.5414369942746607   recall 0.5337613816763713
deviation 1/5   iterations 1450/2000   F1 0.4629069809983451   accuracy 0.5373711340206185   precision 0.5324631902246807   recall 0.4901945048739205
deviation 1/5   iterations 1460/2000   F1 0.5129206244451253   accuracy 0.6237113402061856   precision 0.5316651947852299   recall 0.5279668701250106
deviation 1/5   iterations 1470/2000   F1 0.5246942464668027   accuracy 0.6572164948453608   precision 0.5464497223925388   recall 0.5347827857221672
deviation 1/5   iterations 1480/2000   F1 0.5263609962575241   accuracy 0.654639175257732   precision 0.5302132419938176   recall 0.536464767749267
deviation 1/5   iterations 1490/2000   F1 0.5328118999163048   accuracy 0.6649484536082474   precision 0.5437687125327575   recall 0.5413235419259773
deviation 1/5   iterations 1500/2000   F1 0.5366090487425169   accuracy 0.7061855670103093   precision 0.5367530637086663   recall 0.5364856958238718
deviation 1/5   iterations 1510/2000   F1 0.5280184000794689   accuracy 0.6713917525773195   precision 0.5264027895058225   recall 0.5345013560496591
deviation 1/5   iterations 1520/2000   F1 0.5300832519205928   accuracy 0.6829896907216495   precision 0.5331579967063838   recall 0.5313708988200881
deviation 1/5   iterations 1530/2000   F1 0.5105732762812408   accuracy 0.6417525773195877   precision 0.5193840543610385   recall 0.5163891253815608
deviation 1/5   iterations 1540/2000   F1 0.5232813714952808   accuracy 0.6469072164948454   precision 0.5307758732632125   recall 0.5341255871770348
deviation 1/5   iterations 1550/2000   F1 0.5142292379699782   accuracy 0.634020618556701   precision 0.5460058329776639   recall 0.5276726963136866
deviation 1/5   iterations 1560/2000   F1 0.5159561187106522   accuracy 0.6469072164948454   precision 0.5306858980043337   recall 0.5210581218233808
deviation 1/5   iterations 1570/2000   F1 0.534320885569325   accuracy 0.7023195876288659   precision 0.5395219334933313   recall 0.53116080375207
deviation 1/5   iterations 1580/2000   F1 0.5338655335789254   accuracy 0.6726804123711341   precision 0.5330153972850556   recall 0.5405309623534883
deviation 1/5   iterations 1590/2000   F1 0.5211623196144074   accuracy 0.6610824742268041   precision 0.5386732324548104   recall 0.5261813877756429
deviation 1/5   iterations 1600/2000   F1 0.5047875884163645   accuracy 0.6288659793814433   precision 0.5187115326529904   recall 0.5103323207239647
deviation 1/5   iterations 1610/2000   F1 0.518512535257342   accuracy 0.6585051546391752   precision 0.5265666283914459   recall 0.5218515971500359
deviation 1/5   iterations 1620/2000   F1 0.5221082110386684   accuracy 0.6701030927835051   precision 0.524589024998853   recall 0.5244552694978198
deviation 1/5   iterations 1630/2000   F1 0.5242692859584589   accuracy 0.6623711340206185   precision 0.5324890125234873   recall 0.5283129569618624
deviation 1/5   iterations 1640/2000   F1 0.5292392032148466   accuracy 0.6778350515463918   precision 0.5299234824532074   recall 0.531181121085198
deviation 1/5   iterations 1650/2000   F1 0.5132958991423439   accuracy 0.6288659793814433   precision 0.5277665917200801   recall 0.5244437061258592
deviation 1/5   iterations 1660/2000   F1 0.5195226166720902   accuracy 0.6958762886597938   precision 0.528750886939065   recall 0.5147280714290658
deviation 1/5   iterations 1670/2000   F1 0.5189713396347616   accuracy 0.6739690721649485   precision 0.5182608878917966   recall 0.5218656442040023
deviation 1/5   iterations 1680/2000   F1 0.5353594507785832   accuracy 0.6829896907216495   precision 0.5346829424263052   recall 0.5390077731103556
deviation 1/5   iterations 1690/2000   F1 0.5110700894335919   accuracy 0.6430412371134021   precision 0.5343516719333713   recall 0.5156406820597949
deviation 1/5   iterations 1700/2000   F1 0.5143422710002344   accuracy 0.6378865979381443   precision 0.5375599564851902   recall 0.5225065970258519
deviation 1/5   iterations 1710/2000   F1 0.5193873439414792   accuracy 0.6842783505154639   precision 0.5296972832212998   recall 0.5154671500481874
deviation 1/5   iterations 1720/2000   F1 0.5041597262660871   accuracy 0.6146907216494846   precision 0.5280322991925201   recall 0.5161627845902597
deviation 1/5   iterations 1730/2000   F1 0.49390336116996963   accuracy 0.6275773195876289   precision 0.5040997479439556   recall 0.49638819705451603
deviation 1/5   iterations 1740/2000   F1 0.5178249733037769   accuracy 0.6675257731958762   precision 0.5261428878450155   recall 0.5179191956453318
deviation 1/5   iterations 1750/2000   F1 0.5153130324049982   accuracy 0.6726804123711341   precision 0.5201926491134629   recall 0.5143960316461804
deviation 1/5   iterations 1760/2000   F1 0.503603771515084   accuracy 0.6417525773195877   precision 0.509289213027656   recall 0.5076157833512688
deviation 1/5   iterations 1770/2000   F1 0.499249007183848   accuracy 0.6391752577319587   precision 0.5090804870186476   recall 0.5009871618069967
deviation 1/5   iterations 1780/2000   F1 0.5105167515641001   accuracy 0.663659793814433   precision 0.518035658499576   recall 0.5086962664559201
deviation 1/5   iterations 1790/2000   F1 0.4963521086324298   accuracy 0.6237113402061856   precision 0.5111928852120445   recall 0.4996515516294379
deviation 1/5   iterations 1800/2000   F1 0.5109104990378008   accuracy 0.6469072164948454   precision 0.5141260450306868   recall 0.5171600847057712
deviation 1/5   iterations 1810/2000   F1 0.5060154387094453   accuracy 0.6623711340206185   precision 0.5120864756158874   recall 0.5044768571732198
deviation 1/5   iterations 1820/2000   F1 0.5166602538228299   accuracy 0.6829896907216495   precision 0.5258989639817709   recall 0.5130579377866159
deviation 1/5   iterations 1830/2000   F1 0.5193202041179726   accuracy 0.6778350515463918   precision 0.524882527809743   recall 0.5181136557315441
deviation 1/5   iterations 1840/2000   F1 0.5212418508761022   accuracy 0.663659793814433   precision 0.5246244867941452   recall 0.5235739288307029
deviation 1/5   iterations 1850/2000   F1 0.4950040921867183   accuracy 0.6108247422680413   precision 0.5141929532569767   recall 0.5035045567421584
deviation 1/5   iterations 1860/2000   F1 0.5160644759096904   accuracy 0.6945876288659794   precision 0.528105018181201   recall 0.5106012098381495
deviation 1/5   iterations 1870/2000   F1 0.5203298307344549   accuracy 0.6701030927835051   precision 0.5178219569333461   recall 0.5258952757518126
deviation 1/5   iterations 1880/2000   F1 0.5193844873967008   accuracy 0.6701030927835051   precision 0.5237301897462004   recall 0.5201611461744579
deviation 1/5   iterations 1890/2000   F1 0.5248150805930614   accuracy 0.6907216494845361   precision 0.5295175397699227   recall 0.5223602633680112
deviation 1/5   iterations 1900/2000   F1 0.5053013665590234   accuracy 0.6365979381443299   precision 0.5350775659491037   recall 0.5105577657610999
deviation 1/5   iterations 1910/2000   F1 0.5121224751684446   accuracy 0.6378865979381443   precision 0.5286041670585432   recall 0.5188862029835942
deviation 1/5   iterations 1920/2000   F1 0.5269875701545983   accuracy 0.6610824742268041   precision 0.5312436880440976   recall 0.5327743420176699
deviation 1/5   iterations 1930/2000   F1 0.5126949988444877   accuracy 0.654639175257732   precision 0.5293665619008086   recall 0.5138576833924328
deviation 1/5   iterations 1940/2000   F1 0.5071550910086909   accuracy 0.6417525773195877   precision 0.5168966081514962   recall 0.5120950020581988
deviation 1/5   iterations 1950/2000   F1 0.5184613152785601   accuracy 0.6713917525773195   precision 0.5191037469729979   recall 0.5205750660313327
deviation 1/5   iterations 1960/2000   F1 0.5251082098448293   accuracy 0.6958762886597938   precision 0.530561570035429   recall 0.521506121054661
deviation 1/5   iterations 1970/2000   F1 0.5180232087536885   accuracy 0.6559278350515464   precision 0.5328688978405652   recall 0.5224637636902791
deviation 1/5   iterations 1980/2000   F1 0.48895133007025987   accuracy 0.6056701030927835   precision 0.5131653737029978   recall 0.49463398466876035
deviation 1/5   iterations 1990/2000   F1 0.5148761355008741   accuracy 0.6559278350515464   precision 0.5181427861328859   recall 0.5185657265726694
deviation 1/5   iterations 2000/2000   F1 0.5148765284409889   accuracy 0.6378865979381443   precision 0.5243898991410778   recall 0.5229952309233882

deviation 2/5   iterations 10/2000   F1 0.3628313302838439   accuracy 0.4038709677419355   precision 0.4196447423046794   recall 0.4097040359360742
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deviation 2/5   iterations 20/2000   F1 0.41647676019560365   accuracy 0.5432258064516129   precision 0.43067264552792667   recall 0.4431551305002897
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deviation 2/5   iterations 30/2000   F1 0.43658530250741295   accuracy 0.5548387096774193   precision 0.44091580321588636   recall 0.45229524771173907
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deviation 2/5   iterations 40/2000   F1 0.455279199499544   accuracy 0.5741935483870968   precision 0.45732814992998466   recall 0.4688583149295617
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deviation 2/5   iterations 50/2000   F1 0.48028151808274516   accuracy 0.6038709677419355   precision 0.4832555528207702   recall 0.4875531762234561
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deviation 2/5   iterations 60/2000   F1 0.5016659125498745   accuracy 0.6438709677419355   precision 0.4983401392897284   recall 0.5122016310511347
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deviation 2/5   iterations 70/2000   F1 0.49347136906953853   accuracy 0.5961290322580645   precision 0.4980509035859589   recall 0.514900141846896
deviation 2/5   iterations 80/2000   F1 0.5110097204652136   accuracy 0.6258064516129033   precision 0.5207230570021913   recall 0.5213428936406809
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deviation 2/5   iterations 90/2000   F1 0.5129941706412294   accuracy 0.6490322580645161   precision 0.5154574917540012   recall 0.5170178641349229
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deviation 2/5   iterations 100/2000   F1 0.508819471131333   accuracy 0.6425806451612903   precision 0.5065033420775717   recall 0.5220300386859633
deviation 2/5   iterations 110/2000   F1 0.510928872665349   accuracy 0.6   precision 0.5326287206185407   recall 0.5312133530142016
deviation 2/5   iterations 120/2000   F1 0.521927109006279   accuracy 0.6645161290322581   precision 0.5193727731170185   recall 0.5294562612011843
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deviation 2/5   iterations 130/2000   F1 0.5055871773301382   accuracy 0.6116129032258064   precision 0.5113732282210544   recall 0.5248674674823067
deviation 2/5   iterations 140/2000   F1 0.5029065899327433   accuracy 0.6051612903225806   precision 0.5140578350564079   recall 0.5190021498746874
deviation 2/5   iterations 150/2000   F1 0.5319803703608994   accuracy 0.6541935483870968   precision 0.5309358803160588   recall 0.543358696913157
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deviation 2/5   iterations 160/2000   F1 0.5194627856977004   accuracy 0.6206451612903225   precision 0.5267178285251949   recall 0.5395530145615189
deviation 2/5   iterations 170/2000   F1 0.5018643508854056   accuracy 0.6064516129032258   precision 0.5096113893844442   recall 0.5263679946016694
deviation 2/5   iterations 180/2000   F1 0.5296658039407663   accuracy 0.6658064516129032   precision 0.5277112001177299   recall 0.5389356557674123
deviation 2/5   iterations 190/2000   F1 0.5288538978487781   accuracy 0.6387096774193548   precision 0.5384833323406198   recall 0.5432359778313706
deviation 2/5   iterations 200/2000   F1 0.5123542364910568   accuracy 0.6180645161290322   precision 0.5228120445862382   recall 0.5277134866143752
deviation 2/5   iterations 210/2000   F1 0.5249927904660839   accuracy 0.64   precision 0.5242590688674076   recall 0.5427436288752436
deviation 2/5   iterations 220/2000   F1 0.5378995987566494   accuracy 0.6580645161290323   precision 0.5430762380646118   recall 0.5491519375134071
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deviation 2/5   iterations 230/2000   F1 0.5155638564023447   accuracy 0.6025806451612903   precision 0.5354134370957618   recall 0.5431164494457107
deviation 2/5   iterations 240/2000   F1 0.5370084584537672   accuracy 0.655483870967742   precision 0.5470091707412003   recall 0.5478323801333187
deviation 2/5   iterations 250/2000   F1 0.5142153664293322   accuracy 0.6567741935483871   precision 0.5128319974854628   recall 0.5337768728199977
deviation 2/5   iterations 260/2000   F1 0.536218991976115   accuracy 0.6825806451612904   precision 0.5317923914440009   recall 0.5452006285180492
deviation 2/5   iterations 270/2000   F1 0.5231987042240668   accuracy 0.6219354838709678   precision 0.5309319491511592   recall 0.5482299081455854
deviation 2/5   iterations 280/2000   F1 0.5322012643441215   accuracy 0.6464516129032258   precision 0.5338025095471904   recall 0.548990357389055
deviation 2/5   iterations 290/2000   F1 0.5307004528910005   accuracy 0.6374193548387097   precision 0.5336329538698147   recall 0.5528736800131031
deviation 2/5   iterations 300/2000   F1 0.5211978687565111   accuracy 0.6245161290322581   precision 0.5315400549789856   recall 0.5417548403269302
deviation 2/5   iterations 310/2000   F1 0.5487763300534171   accuracy 0.6632258064516129   precision 0.5452115136325663   recall 0.570844580537179
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deviation 2/5   iterations 320/2000   F1 0.539535735152126   accuracy 0.6606451612903226   precision 0.5362239904013135   recall 0.5588779156213046
deviation 2/5   iterations 330/2000   F1 0.5452002478245994   accuracy 0.6864516129032258   precision 0.541118633688293   recall 0.5525988710826228
deviation 2/5   iterations 340/2000   F1 0.5288598916253157   accuracy 0.6425806451612903   precision 0.5293079096045198   recall 0.5527238809206025
deviation 2/5   iterations 350/2000   F1 0.5182502217244208   accuracy 0.6219354838709678   precision 0.5236190230790173   recall 0.5443842193732852
deviation 2/5   iterations 360/2000   F1 0.5297145650530318   accuracy 0.6425806451612903   precision 0.5440312134775764   recall 0.5427124582284698
deviation 2/5   iterations 370/2000   F1 0.5342640303626749   accuracy 0.6425806451612903   precision 0.5348437106268888   recall 0.5623142135367655
deviation 2/5   iterations 380/2000   F1 0.5115739305775105   accuracy 0.6051612903225806   precision 0.5268341375082949   recall 0.535711743676163
deviation 2/5   iterations 390/2000   F1 0.5375516746815152   accuracy 0.6490322580645161   precision 0.5452358696275729   recall 0.5548309675548747
deviation 2/5   iterations 400/2000   F1 0.5210862636012337   accuracy 0.6206451612903225   precision 0.528764590273307   recall 0.5472840712758972
deviation 2/5   iterations 410/2000   F1 0.5401033447138087   accuracy 0.655483870967742   precision 0.5422141819970959   recall 0.5572320072963857
deviation 2/5   iterations 420/2000   F1 0.5406016239570934   accuracy 0.6516129032258065   precision 0.5416339686568126   recall 0.56128337324976
deviation 2/5   iterations 430/2000   F1 0.545093778480498   accuracy 0.6606451612903226   precision 0.5433329135180521   recall 0.5634625368914014
deviation 2/5   iterations 440/2000   F1 0.5070767948879729   accuracy 0.607741935483871   precision 0.5185236925651036   recall 0.5289824019200463
deviation 2/5   iterations 450/2000   F1 0.5318302670924276   accuracy 0.6361290322580645   precision 0.55183885422856   recall 0.5507678205696488
deviation 2/5   iterations 460/2000   F1 0.5135809456642066   accuracy 0.607741935483871   precision 0.5286627364621794   recall 0.5370948695406167
deviation 2/5   iterations 470/2000   F1 0.5347111656877909   accuracy 0.655483870967742   precision 0.5333327849066083   recall 0.5509788155776003
deviation 2/5   iterations 480/2000   F1 0.5377535381651879   accuracy 0.6593548387096774   precision 0.5355253499807624   recall 0.5573202832225507
deviation 2/5   iterations 490/2000   F1 0.5394705235491483   accuracy 0.6567741935483871   precision 0.5401234567901235   recall 0.5552617933446661
deviation 2/5   iterations 500/2000   F1 0.5361333681462006   accuracy 0.6503225806451612   precision 0.5347371386142407   recall 0.558668965931383
deviation 2/5   iterations 510/2000   F1 0.5495001809412107   accuracy 0.6735483870967742   precision 0.5450460143283203   recall 0.5667231828944653
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deviation 2/5   iterations 520/2000   F1 0.5438797748253782   accuracy 0.6735483870967742   precision 0.5392638473317818   recall 0.558801420726991
deviation 2/5   iterations 530/2000   F1 0.5377397653087683   accuracy 0.6477419354838709   precision 0.536831904770836   recall 0.5592086844530795
deviation 2/5   iterations 540/2000   F1 0.5255458495839003   accuracy 0.6219354838709678   precision 0.5311725115247456   recall 0.5542288259269096
deviation 2/5   iterations 550/2000   F1 0.5415589899788454   accuracy 0.6619354838709678   precision 0.5392612014101769   recall 0.5579644765892081
deviation 2/5   iterations 560/2000   F1 0.5249293650287851   accuracy 0.6374193548387097   precision 0.5261415701415701   recall 0.5473594207921141
deviation 2/5   iterations 570/2000   F1 0.5242973076448489   accuracy 0.6412903225806451   precision 0.5242359325906883   recall 0.541639484390051
deviation 2/5   iterations 580/2000   F1 0.5352363862198367   accuracy 0.655483870967742   precision 0.5325904392764859   recall 0.5552455944258702
deviation 2/5   iterations 590/2000   F1 0.5260872409200467   accuracy 0.6283870967741936   precision 0.5304965378289972   recall 0.5522995183357852
deviation 2/5   iterations 600/2000   F1 0.5301144424606838   accuracy 0.6477419354838709   precision 0.5342988775192165   recall 0.543365160118131
deviation 2/5   iterations 610/2000   F1 0.5329265688194238   accuracy 0.6490322580645161   precision 0.5316125321443731   recall 0.5544495566486826
deviation 2/5   iterations 620/2000   F1 0.5239708612998667   accuracy 0.6309677419354839   precision 0.5286376600577273   recall 0.544958381050603
deviation 2/5   iterations 630/2000   F1 0.5212188912673495   accuracy 0.6180645161290322   precision 0.5300358053150922   recall 0.546830583362336
deviation 2/5   iterations 640/2000   F1 0.5092484116988828   accuracy 0.5961290322580645   precision 0.5271645717567316   recall 0.5360672199497375
deviation 2/5   iterations 650/2000   F1 0.4990175994305884   accuracy 0.5896774193548387   precision 0.5178101052275457   recall 0.5228919357037097
deviation 2/5   iterations 660/2000   F1 0.5091885247818236   accuracy 0.6154838709677419   precision 0.5253519523206083   recall 0.5192110995646091
deviation 2/5   iterations 670/2000   F1 0.5118548154593329   accuracy 0.632258064516129   precision 0.513173887018771   recall 0.5322139225943664
deviation 2/5   iterations 680/2000   F1 0.5045940402878301   accuracy 0.6051612903225806   precision 0.5126452603857405   recall 0.5292678465042815
deviation 2/5   iterations 690/2000   F1 0.5170079933957247   accuracy 0.6232258064516129   precision 0.527916932688017   recall 0.5329508097741331
deviation 2/5   iterations 700/2000   F1 0.5224819514038745   accuracy 0.6361290322580645   precision 0.5267824832869245   recall 0.5380071631946165
deviation 2/5   iterations 710/2000   F1 0.5329055317888031   accuracy 0.6606451612903226   precision 0.5298962150411685   recall 0.5500900839873033
deviation 2/5   iterations 720/2000   F1 0.5086440494813864   accuracy 0.6283870967741936   precision 0.5113771803700481   recall 0.5310053032642131
deviation 2/5   iterations 730/2000   F1 0.5136839782642029   accuracy 0.632258064516129   precision 0.516146942571495   recall 0.5322774910787318
deviation 2/5   iterations 740/2000   F1 0.5249558396640109   accuracy 0.6503225806451612   precision 0.5241728965112871   recall 0.5462261509781775
deviation 2/5   iterations 750/2000   F1 0.5290615876616358   accuracy 0.6632258064516129   precision 0.5265677388843008   recall 0.5426853782177558
deviation 2/5   iterations 760/2000   F1 0.49874087335260553   accuracy 0.6051612903225806   precision 0.5080654022347313   recall 0.5264789326516043
deviation 2/5   iterations 770/2000   F1 0.533347058902412   accuracy 0.6670967741935484   precision 0.5295480467603126   recall 0.5448872039831669
deviation 2/5   iterations 780/2000   F1 0.4983075405411004   accuracy 0.6141935483870967   precision 0.5038076416337286   recall 0.5156670542953397
deviation 2/5   iterations 790/2000   F1 0.4919550145005418   accuracy 0.567741935483871   precision 0.5193610216245478   recall 0.5261128207242749
deviation 2/5   iterations 800/2000   F1 0.512450320363326   accuracy 0.6193548387096774   precision 0.5263606371566781   recall 0.5238839967608707
deviation 2/5   iterations 810/2000   F1 0.4773262435794909   accuracy 0.5754838709677419   precision 0.4928870145794897   recall 0.5053765684112247
deviation 2/5   iterations 820/2000   F1 0.5147935047136755   accuracy 0.6516129032258065   precision 0.5128074513068362   recall 0.5277370486780782
deviation 2/5   iterations 830/2000   F1 0.48410110108871335   accuracy 0.5922580645161291   precision 0.4963998414687704   recall 0.5107754716953347
deviation 2/5   iterations 840/2000   F1 0.49407670211459714   accuracy 0.6   precision 0.5061108812197118   recall 0.5150519862574263
deviation 2/5   iterations 850/2000   F1 0.5257488406307326   accuracy 0.6490322580645161   precision 0.5246731161375018   recall 0.5430635166151001
deviation 2/5   iterations 860/2000   F1 0.5148244730749701   accuracy 0.6361290322580645   precision 0.5156764025441785   recall 0.5343521798754124
deviation 2/5   iterations 870/2000   F1 0.5007259065143613   accuracy 0.6051612903225806   precision 0.5098794309976998   recall 0.522339290772065
deviation 2/5   iterations 880/2000   F1 0.4970663889622744   accuracy 0.5819354838709677   precision 0.5228825679326236   recall 0.5243839543000685
deviation 2/5   iterations 890/2000   F1 0.5054442395805602   accuracy 0.5948387096774194   precision 0.5229696816998404   recall 0.5319113791514024
deviation 2/5   iterations 900/2000   F1 0.49955275393871884   accuracy 0.6374193548387097   precision 0.5013989545435978   recall 0.5173409425709058
deviation 2/5   iterations 910/2000   F1 0.492427100615833   accuracy 0.6103225806451613   precision 0.4991553805106809   recall 0.5143312979964555
deviation 2/5   iterations 920/2000   F1 0.5087001780378236   accuracy 0.6193548387096774   precision 0.5176222470340117   recall 0.5247500662273978
deviation 2/5   iterations 930/2000   F1 0.5017140716626456   accuracy 0.6232258064516129   precision 0.5063611500818651   recall 0.5212469273187238
deviation 2/5   iterations 940/2000   F1 0.49294251295862895   accuracy 0.6129032258064516   precision 0.5018260365536867   recall 0.5061876597291115
deviation 2/5   iterations 950/2000   F1 0.47467929811314824   accuracy 0.6012903225806452   precision 0.4875599412706329   recall 0.5005118203837704
deviation 2/5   iterations 960/2000   F1 0.5031477252708296   accuracy 0.6374193548387097   precision 0.5057082096278613   recall 0.5226009278544336
deviation 2/5   iterations 970/2000   F1 0.5282514586862413   accuracy 0.6593548387096774   precision 0.5264499444304915   recall 0.5432724663050217
deviation 2/5   iterations 980/2000   F1 0.49036976812047534   accuracy 0.584516129032258   precision 0.5082157784743991   recall 0.5190689090551793
deviation 2/5   iterations 990/2000   F1 0.5070187389942594   accuracy 0.6219354838709678   precision 0.5118215701596077   recall 0.5293431960204984
deviation 2/5   iterations 1000/2000   F1 0.4941524276352838   accuracy 0.6232258064516129   precision 0.5000551182608363   recall 0.5158598050664654
deviation 2/5   iterations 1010/2000   F1 0.4936310353203661   accuracy 0.6245161290322581   precision 0.497856406805331   recall 0.513087090132584
deviation 2/5   iterations 1020/2000   F1 0.48600892182913635   accuracy 0.5793548387096774   precision 0.5050376569510295   recall 0.5103037395449478
deviation 2/5   iterations 1030/2000   F1 0.49321435731611835   accuracy 0.6129032258064516   precision 0.5012970444021613   recall 0.5121865775104356
deviation 2/5   iterations 1040/2000   F1 0.5071388037680172   accuracy 0.6593548387096774   precision 0.5045680773343849   recall 0.5211757502512878
deviation 2/5   iterations 1050/2000   F1 0.4923575131637857   accuracy 0.6103225806451613   precision 0.5004508176473494   recall 0.5159998684451443
deviation 2/5   iterations 1060/2000   F1 0.5189306903401693   accuracy 0.6464516129032258   precision 0.520736164663909   recall 0.535427199031861
deviation 2/5   iterations 1070/2000   F1 0.4993143947735447   accuracy 0.6064516129032258   precision 0.5122330724938848   recall 0.5159115925189793
deviation 2/5   iterations 1080/2000   F1 0.5009690151380933   accuracy 0.6283870967741936   precision 0.5093249277127171   recall 0.5307510293267517
deviation 2/5   iterations 1090/2000   F1 0.5200675686268362   accuracy 0.6270967741935484   precision 0.5267952954933565   recall 0.5418904858186647
deviation 2/5   iterations 1100/2000   F1 0.4899431589587178   accuracy 0.5767741935483871   precision 0.5118939538735984   recall 0.5160398748658067
deviation 2/5   iterations 1110/2000   F1 0.49822752175314217   accuracy 0.6064516129032258   precision 0.5094840475907706   recall 0.5271069270994658
deviation 2/5   iterations 1120/2000   F1 0.5063666195650133   accuracy 0.6103225806451613   precision 0.5162348708426925   recall 0.5268376814340265
deviation 2/5   iterations 1130/2000   F1 0.4984587828877077   accuracy 0.64   precision 0.5017885451321984   recall 0.5203926388840483
deviation 2/5   iterations 1140/2000   F1 0.5118395437850336   accuracy 0.632258064516129   precision 0.5142729016650879   recall 0.5330799920608936
deviation 2/5   iterations 1150/2000   F1 0.49813538445569333   accuracy 0.5767741935483871   precision 0.5231036672871838   recall 0.5310808982185934
deviation 2/5   iterations 1160/2000   F1 0.5124123630445805   accuracy 0.6193548387096774   precision 0.5201011607578421   recall 0.5334743293770338
deviation 2/5   iterations 1170/2000   F1 0.4927164814088148   accuracy 0.5754838709677419   precision 0.5225570491327773   recall 0.5164686553375682
deviation 2/5   iterations 1180/2000   F1 0.504869267220115   accuracy 0.6270967741935484   precision 0.509086757715295   recall 0.5267858939815127
deviation 2/5   iterations 1190/2000   F1 0.5209005985199427   accuracy 0.655483870967742   precision 0.520659949441526   recall 0.5384724321400293
deviation 2/5   iterations 1200/2000   F1 0.5157339363105332   accuracy 0.6219354838709678   precision 0.5221513809825006   recall 0.5357870931923797
deviation 2/5   iterations 1210/2000   F1 0.5009764207563182   accuracy 0.6167741935483871   precision 0.5093057331628303   recall 0.5281819462559144
deviation 2/5   iterations 1220/2000   F1 0.5022099863329793   accuracy 0.5987096774193549   precision 0.5164963002734754   recall 0.5276693077449321
deviation 2/5   iterations 1230/2000   F1 0.5215609068844574   accuracy 0.632258064516129   precision 0.5266331108436372   recall 0.5395238892327751
deviation 2/5   iterations 1240/2000   F1 0.4946618507029643   accuracy 0.6141935483870967   precision 0.5033357616192382   recall 0.517272056259663
deviation 2/5   iterations 1250/2000   F1 0.5119568948868475   accuracy 0.6283870967741936   precision 0.5189997330697333   recall 0.526929229869039
deviation 2/5   iterations 1260/2000   F1 0.49718380722455047   accuracy 0.5754838709677419   precision 0.5201646780596564   recall 0.53199433725069
deviation 2/5   iterations 1270/2000   F1 0.49718578121939466   accuracy 0.6012903225806452   precision 0.5134478282151141   recall 0.5125971137453716
deviation 2/5   iterations 1280/2000   F1 0.5142324830169955   accuracy 0.6412903225806451   precision 0.5186284139109985   recall 0.5395259345508049
deviation 2/5   iterations 1290/2000   F1 0.49658831790560604   accuracy 0.6180645161290322   precision 0.5064096886911594   recall 0.5064192715428031
deviation 2/5   iterations 1300/2000   F1 0.5140966625254291   accuracy 0.6412903225806451   precision 0.5164472341294141   recall 0.5317948778364266
deviation 2/5   iterations 1310/2000   F1 0.5308424181673325   accuracy 0.6825806451612904   precision 0.5289508872104368   recall 0.5476081314645345
deviation 2/5   iterations 1320/2000   F1 0.5277448829318678   accuracy 0.6709677419354839   precision 0.5244262288872307   recall 0.5423772715097507
deviation 2/5   iterations 1330/2000   F1 0.5012664108499755   accuracy 0.6103225806451613   precision 0.509481177990581   recall 0.5231826981148222
deviation 2/5   iterations 1340/2000   F1 0.5224642429916264   accuracy 0.632258064516129   precision 0.5303849220467219   recall 0.5411924596814638
deviation 2/5   iterations 1350/2000   F1 0.49534720877726396   accuracy 0.6025806451612903   precision 0.5075491817548746   recall 0.5122319017579754
deviation 2/5   iterations 1360/2000   F1 0.497341976868063   accuracy 0.5767741935483871   precision 0.5223932796580053   recall 0.5292216223168086
deviation 2/5   iterations 1370/2000   F1 0.502296892045608   accuracy 0.6490322580645161   precision 0.5036717132505176   recall 0.5251700109252707
deviation 2/5   iterations 1380/2000   F1 0.4930922917523401   accuracy 0.64   precision 0.49779711959123096   recall 0.5193994324487905
deviation 2/5   iterations 1390/2000   F1 0.5308135500859524   accuracy 0.6283870967741936   precision 0.5433690382866235   recall 0.5552155691571932
deviation 2/5   iterations 1400/2000   F1 0.5091166200463176   accuracy 0.6270967741935484   precision 0.512844528323281   recall 0.5329119487315674
deviation 2/5   iterations 1410/2000   F1 0.49871598642584436   accuracy 0.6103225806451613   precision 0.5063912777856102   recall 0.5231191296304568
deviation 2/5   iterations 1420/2000   F1 0.5248394248924431   accuracy 0.6516129032258065   precision 0.5243169337875319   recall 0.5451855749773502
deviation 2/5   iterations 1430/2000   F1 0.5147166641132811   accuracy 0.6219354838709678   precision 0.5227629176962978   recall 0.5339913857749603
deviation 2/5   iterations 1440/2000   F1 0.5078138944411063   accuracy 0.6490322580645161   precision 0.5100739022927144   recall 0.5287614257601098
deviation 2/5   iterations 1450/2000   F1 0.5166261412192701   accuracy 0.6193548387096774   precision 0.5221600469612837   recall 0.5430010935088314
deviation 2/5   iterations 1460/2000   F1 0.5401759915944314   accuracy 0.6503225806451612   precision 0.5408058097986013   recall 0.5613943112996949
deviation 2/5   iterations 1470/2000   F1 0.5077417422262703   accuracy 0.6193548387096774   precision 0.5136848444482848   recall 0.5332200554395724
deviation 2/5   iterations 1480/2000   F1 0.52152660601853   accuracy 0.655483870967742   precision 0.5203040226099448   recall 0.5402045710730835
deviation 2/5   iterations 1490/2000   F1 0.5098230107445656   accuracy 0.5974193548387097   precision 0.5266699431986598   recall 0.5395476967346416
deviation 2/5   iterations 1500/2000   F1 0.5097921079859863   accuracy 0.6374193548387097   precision 0.5126107441620446   recall 0.5313887594884349
deviation 2/5   iterations 1510/2000   F1 0.517000776264946   accuracy 0.6387096774193548   precision 0.5180911571340969   recall 0.5348692362733389
deviation 2/5   iterations 1520/2000   F1 0.504946976456145   accuracy 0.6167741935483871   precision 0.5122203408438623   recall 0.5266405127759564
deviation 2/5   iterations 1530/2000   F1 0.520390242056057   accuracy 0.6451612903225806   precision 0.5213020513794185   recall 0.5417277603162161
deviation 2/5   iterations 1540/2000   F1 0.5135278106686424   accuracy 0.6296774193548387   precision 0.519095719095719   recall 0.5395550598795488
deviation 2/5   iterations 1550/2000   F1 0.5012125169791323   accuracy 0.6541935483870968   precision 0.5013237233674251   recall 0.5218102079041234
deviation 2/5   iterations 1560/2000   F1 0.5134961748557664   accuracy 0.6335483870967742   precision 0.5158344535172514   recall 0.5313004835622699
deviation 2/5   iterations 1570/2000   F1 0.5148343206402601   accuracy 0.632258064516129   precision 0.5202881920003333   recall 0.5434728256592183
deviation 2/5   iterations 1580/2000   F1 0.5070201218159495   accuracy 0.6180645161290322   precision 0.5143971970058927   recall 0.5248610042773326
deviation 2/5   iterations 1590/2000   F1 0.4969067830867491   accuracy 0.5870967741935483   precision 0.5109827628202251   recall 0.5318380749532153
deviation 2/5   iterations 1600/2000   F1 0.5293371070060066   accuracy 0.6516129032258065   precision 0.5284571261697093   recall 0.5462423498969732
deviation 2/5   iterations 1610/2000   F1 0.5011063815411642   accuracy 0.6438709677419355   precision 0.5118044377110754   recall 0.5310644538616341
deviation 2/5   iterations 1620/2000   F1 0.5276553183777789   accuracy 0.6735483870967742   precision 0.5244894956080776   recall 0.5436968288898391
deviation 2/5   iterations 1630/2000   F1 0.4925406288509997   accuracy 0.5987096774193549   precision 0.5038733188713245   recall 0.5229575495061048
deviation 2/5   iterations 1640/2000   F1 0.5213244829613607   accuracy 0.6425806451612903   precision 0.5203871131713145   recall 0.5421403418691818
deviation 2/5   iterations 1650/2000   F1 0.5075231424220936   accuracy 0.6516129032258065   precision 0.5115801817648783   recall 0.5309470526067251
deviation 2/5   iterations 1660/2000   F1 0.5194500788821275   accuracy 0.6529032258064517   precision 0.518421417905954   recall 0.5379553757421027
deviation 2/5   iterations 1670/2000   F1 0.5184516183883493   accuracy 0.6348387096774194   precision 0.5187837616554615   recall 0.5373156002623897
deviation 2/5   iterations 1680/2000   F1 0.5235626239092772   accuracy 0.6219354838709678   precision 0.5317397977609245   recall 0.5497713416255435
deviation 2/5   iterations 1690/2000   F1 0.5085070918917775   accuracy 0.6477419354838709   precision 0.5109577527914153   recall 0.5315341406939912
deviation 2/5   iterations 1700/2000   F1 0.5174971323607054   accuracy 0.6438709677419355   precision 0.5210768741503374   recall 0.5409726288996238
deviation 2/5   iterations 1710/2000   F1 0.5154080799610322   accuracy 0.655483870967742   precision 0.5157158296649649   recall 0.5348810173051904
deviation 2/5   iterations 1720/2000   F1 0.5004261000812725   accuracy 0.5948387096774194   precision 0.5179430365552814   recall 0.5230599790330358
deviation 2/5   iterations 1730/2000   F1 0.5061565763602474   accuracy 0.632258064516129   precision 0.5083529803845201   recall 0.5226235899782035
deviation 2/5   iterations 1740/2000   F1 0.5179632911613465   accuracy 0.6541935483870968   precision 0.5168433843851918   recall 0.5368512312569101
deviation 2/5   iterations 1750/2000   F1 0.510022485509484   accuracy 0.6425806451612903   precision 0.5130696531146076   recall 0.5314932343333957
deviation 2/5   iterations 1760/2000   F1 0.5063417451022217   accuracy 0.6309677419354839   precision 0.5075445926954227   recall 0.523727734463396
deviation 2/5   iterations 1770/2000   F1 0.5078391113364829   accuracy 0.6309677419354839   precision 0.5095616357752281   recall 0.5271920123295043
deviation 2/5   iterations 1780/2000   F1 0.5065535116233254   accuracy 0.6232258064516129   precision 0.5095469358105219   recall 0.5283026200196711
deviation 2/5   iterations 1790/2000   F1 0.4977137957395814   accuracy 0.655483870967742   precision 0.502208106746775   recall 0.5215721328854578
deviation 2/5   iterations 1800/2000   F1 0.5123828252931483   accuracy 0.607741935483871   precision 0.5221752897818738   recall 0.546367359734953
deviation 2/5   iterations 1810/2000   F1 0.5335166508809218   accuracy 0.6464516129032258   precision 0.5319397482285689   recall 0.5549257066860137
deviation 2/5   iterations 1820/2000   F1 0.5118562247104977   accuracy 0.6464516129032258   precision 0.5124555721427319   recall 0.5309697147304949
deviation 2/5   iterations 1830/2000   F1 0.5022543441581634   accuracy 0.6529032258064517   precision 0.5073888322896266   recall 0.52891327017064
deviation 2/5   iterations 1840/2000   F1 0.5312477946507048   accuracy 0.6477419354838709   precision 0.5293933003684312   recall 0.5520258547834017
deviation 2/5   iterations 1850/2000   F1 0.5017691421783493   accuracy 0.6258064516129033   precision 0.5043341567731812   recall 0.5217004152322852
deviation 2/5   iterations 1860/2000   F1 0.5256946738300862   accuracy 0.632258064516129   precision 0.530288042852664   recall 0.552514931230681
deviation 2/5   iterations 1870/2000   F1 0.5125147747773614   accuracy 0.6206451612903225   precision 0.5175464778935598   recall 0.535770894273584
deviation 2/5   iterations 1880/2000   F1 0.48640827622491195   accuracy 0.6270967741935484   precision 0.49919278590259175   recall 0.5194123588587387
deviation 2/5   iterations 1890/2000   F1 0.5073372282095993   accuracy 0.6606451612903226   precision 0.5066047905960187   recall 0.5253315910496229
deviation 2/5   iterations 1900/2000   F1 0.5104741644116345   accuracy 0.6309677419354839   precision 0.5134928203110021   recall 0.5332544985951938
deviation 2/5   iterations 1910/2000   F1 0.5154015821509618   accuracy 0.6477419354838709   precision 0.5148471900475694   recall 0.5334569850801413
deviation 2/5   iterations 1920/2000   F1 0.5115540351871876   accuracy 0.64   precision 0.5117724763642   recall 0.5293711759711456
deviation 2/5   iterations 1930/2000   F1 0.5302175941317148   accuracy 0.6606451612903226   precision 0.5277265843870674   recall 0.5457597366546679
deviation 2/5   iterations 1940/2000   F1 0.5017472932145229   accuracy 0.6438709677419355   precision 0.5060393926070361   recall 0.52506553608031
deviation 2/5   iterations 1950/2000   F1 0.5243655538905859   accuracy 0.6503225806451612   precision 0.5241977764762945   recall 0.5453600815116504
deviation 2/5   iterations 1960/2000   F1 0.5053435437557109   accuracy 0.6670967741935484   precision 0.5074751861042183   recall 0.5277961992754993
deviation 2/5   iterations 1970/2000   F1 0.49204789050690295   accuracy 0.6012903225806452   precision 0.5031475017544716   recall 0.521678898486612
deviation 2/5   iterations 1980/2000   F1 0.5277851504992458   accuracy 0.6774193548387096   precision 0.5241660642362903   recall 0.5405751008873572
deviation 2/5   iterations 1990/2000   F1 0.5015770983758788   accuracy 0.6154838709677419   precision 0.5088818148361159   recall 0.52842002127458
deviation 2/5   iterations 2000/2000   F1 0.51785990023975   accuracy 0.6309677419354839   precision 0.5211425546898479   recall 0.5421058987135604

deviation 3/5   iterations 10/2000   F1 0.42459269182732223   accuracy 0.5516795865633075   precision 0.4279919573389282   recall 0.4285571869861471
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deviation 3/5   iterations 20/2000   F1 0.4393736133771873   accuracy 0.5568475452196382   precision 0.442025940009811   recall 0.4460958105226413
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deviation 3/5   iterations 30/2000   F1 0.4550274150084504   accuracy 0.5943152454780362   precision 0.45600804870651074   recall 0.45547784131718827
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deviation 3/5   iterations 40/2000   F1 0.4621423674388274   accuracy 0.5775193798449613   precision 0.46922604422604425   recall 0.4712894559694512
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deviation 3/5   iterations 50/2000   F1 0.4671744575192851   accuracy 0.6098191214470284   precision 0.48101229085948943   recall 0.46759178528964407
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deviation 3/5   iterations 60/2000   F1 0.4708455413265816   accuracy 0.6046511627906976   precision 0.47523158684664235   recall 0.4723978225693593
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deviation 3/5   iterations 70/2000   F1 0.49634532764126504   accuracy 0.6072351421188631   precision 0.5199065005346147   recall 0.5083190416799787
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deviation 3/5   iterations 80/2000   F1 0.4877764305737797   accuracy 0.6227390180878553   precision 0.49371079979952565   recall 0.48988151762314774
deviation 3/5   iterations 90/2000   F1 0.5010311367583574   accuracy 0.6511627906976745   precision 0.49708797379048275   recall 0.5099759142702477
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deviation 3/5   iterations 100/2000   F1 0.501725229087807   accuracy 0.6330749354005168   precision 0.5038252863869562   recall 0.5075982488143852
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deviation 3/5   iterations 110/2000   F1 0.5082966419897125   accuracy 0.6472868217054264   precision 0.514496509813583   recall 0.5091688344971202
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deviation 3/5   iterations 120/2000   F1 0.5156976443685776   accuracy 0.6459948320413437   precision 0.5227254214835356   recall 0.519919691278972
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deviation 3/5   iterations 130/2000   F1 0.508211587587868   accuracy 0.6459948320413437   precision 0.5080584219303731   recall 0.5160538738558377
deviation 3/5   iterations 140/2000   F1 0.5079159221154255   accuracy 0.6382428940568475   precision 0.5089988690378617   recall 0.5164226735266603
deviation 3/5   iterations 150/2000   F1 0.5177809005842845   accuracy 0.6524547803617571   precision 0.5200318136224455   recall 0.5225200630382223
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deviation 3/5   iterations 160/2000   F1 0.5178798925577469   accuracy 0.6602067183462532   precision 0.517838696679   recall 0.5204219999558933
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deviation 3/5   iterations 170/2000   F1 0.5133020677994855   accuracy 0.6304909560723514   precision 0.5263058614422237   recall 0.5259129626218234
deviation 3/5   iterations 180/2000   F1 0.5242070488515193   accuracy 0.6666666666666666   precision 0.525193278212356   recall 0.5266166620715301
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deviation 3/5   iterations 190/2000   F1 0.5214703531992056   accuracy 0.6537467700258398   precision 0.5196422881844877   recall 0.5367756439565264
deviation 3/5   iterations 200/2000   F1 0.5158557532833212   accuracy 0.6356589147286822   precision 0.5213921879221305   recall 0.5276166883880121
deviation 3/5   iterations 210/2000   F1 0.5142835571674892   accuracy 0.6291989664082688   precision 0.5226907176075549   recall 0.5277459752793954
deviation 3/5   iterations 220/2000   F1 0.521225452009834   accuracy 0.6589147286821705   precision 0.5177662625031046   recall 0.5317659613767504
deviation 3/5   iterations 230/2000   F1 0.5200073090599453   accuracy 0.6563307493540051   precision 0.5208953504079415   recall 0.5254636968229776
deviation 3/5   iterations 240/2000   F1 0.5169313006629038   accuracy 0.6356589147286822   precision 0.5179477089304481   recall 0.5301427017385848
deviation 3/5   iterations 250/2000   F1 0.5294633978597408   accuracy 0.6434108527131783   precision 0.5281183733889804   recall 0.5473380632495739
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deviation 3/5   iterations 260/2000   F1 0.5158686582327653   accuracy 0.6472868217054264   precision 0.5190626975209178   recall 0.522341955383479
deviation 3/5   iterations 270/2000   F1 0.5124352815408454   accuracy 0.6395348837209303   precision 0.512532979488425   recall 0.5292205181002058
deviation 3/5   iterations 280/2000   F1 0.5219534411368864   accuracy 0.6421188630490956   precision 0.5251394280316687   recall 0.5354727321484686
deviation 3/5   iterations 290/2000   F1 0.5197669313348848   accuracy 0.6343669250645995   precision 0.529618133416368   recall 0.5377065587641714
deviation 3/5   iterations 300/2000   F1 0.5157790188709379   accuracy 0.6111111111111112   precision 0.5281623110058328   recall 0.54259306217191
deviation 3/5   iterations 310/2000   F1 0.5252652663942987   accuracy 0.6343669250645995   precision 0.529218329303219   recall 0.5454203623492634
deviation 3/5   iterations 320/2000   F1 0.5311905164113723   accuracy 0.6459948320413437   precision 0.5337575021560449   recall 0.5481309599965698
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deviation 3/5   iterations 330/2000   F1 0.5211650571052914   accuracy 0.6421188630490956   precision 0.520655590480467   recall 0.5369304684932272
deviation 3/5   iterations 340/2000   F1 0.5287426510831817   accuracy 0.6421188630490956   precision 0.5314196899326759   recall 0.5460519579175678
deviation 3/5   iterations 350/2000   F1 0.5272321402143446   accuracy 0.6498708010335917   precision 0.5299961553432498   recall 0.5396307363064727
deviation 3/5   iterations 360/2000   F1 0.5211312066667583   accuracy 0.6356589147286822   precision 0.5247853256677212   recall 0.5372634006846712
deviation 3/5   iterations 370/2000   F1 0.5223214285714285   accuracy 0.6589147286821705   precision 0.5207970207970208   recall 0.5302403432653048
deviation 3/5   iterations 380/2000   F1 0.5226745388135671   accuracy 0.6447028423772609   precision 0.5242654335816023   recall 0.5359262200620298
deviation 3/5   iterations 390/2000   F1 0.5251134251134251   accuracy 0.6679586563307494   precision 0.5229162233133707   recall 0.5306324260541698
deviation 3/5   iterations 400/2000   F1 0.5291524545761833   accuracy 0.6421188630490956   precision 0.5342153607708858   recall 0.5469165896233209
deviation 3/5   iterations 410/2000   F1 0.5265785837733938   accuracy 0.6421188630490956   precision 0.5303719561145304   recall 0.5424576675611811
deviation 3/5   iterations 420/2000   F1 0.5144338206317854   accuracy 0.6201550387596899   precision 0.5218291492485041   recall 0.5349319325422485
deviation 3/5   iterations 430/2000   F1 0.5212368218294193   accuracy 0.6253229974160207   precision 0.5344868792438695   recall 0.5424343844431387
deviation 3/5   iterations 440/2000   F1 0.508281528311039   accuracy 0.6214470284237726   precision 0.5226795908788247   recall 0.5209940760041316
deviation 3/5   iterations 450/2000   F1 0.5239613681172123   accuracy 0.6524547803617571   precision 0.521942476901358   recall 0.538015551975093
deviation 3/5   iterations 460/2000   F1 0.5308667602883966   accuracy 0.648578811369509   precision 0.534454595440511   recall 0.5469909480319985
deviation 3/5   iterations 470/2000   F1 0.5226821489180161   accuracy 0.6356589147286822   precision 0.5232972863912033   recall 0.5414507956800634
deviation 3/5   iterations 480/2000   F1 0.5109407442765914   accuracy 0.661498708010336   precision 0.5079384474545764   recall 0.5182495784648866
deviation 3/5   iterations 490/2000   F1 0.5265438406201111   accuracy 0.6563307493540051   precision 0.5245604468671622   recall 0.536771790764456
deviation 3/5   iterations 500/2000   F1 0.5168388556566882   accuracy 0.6317829457364341   precision 0.5188514225072071   recall 0.5374388848894941
deviation 3/5   iterations 510/2000   F1 0.527057448932449   accuracy 0.6498708010335917   precision 0.5270236321084811   recall 0.5394949727730989
deviation 3/5   iterations 520/2000   F1 0.5180602962954198   accuracy 0.6382428940568475   precision 0.5193925739234481   recall 0.533918952941785
deviation 3/5   iterations 530/2000   F1 0.5159025324214688   accuracy 0.6395348837209303   precision 0.5170010963819397   recall 0.5293562816335796
deviation 3/5   iterations 540/2000   F1 0.5197186664897037   accuracy 0.6304909560723514   precision 0.5243347802395074   recall 0.537085293029928
deviation 3/5   iterations 550/2000   F1 0.5035438953515019   accuracy 0.5956072351421189   precision 0.5167393477352489   recall 0.530614881732828
deviation 3/5   iterations 560/2000   F1 0.5019904442291908   accuracy 0.6162790697674418   precision 0.5179086247235355   recall 0.5129664012309227
deviation 3/5   iterations 570/2000   F1 0.4959296916533758   accuracy 0.5891472868217055   precision 0.510969799702194   recall 0.521165338094239
deviation 3/5   iterations 580/2000   F1 0.5172363545531488   accuracy 0.6447028423772609   precision 0.5196274662880783   recall 0.5262116259986839
deviation 3/5   iterations 590/2000   F1 0.5060520466850299   accuracy 0.6214470284237726   precision 0.509496195622832   recall 0.5265713255775956
deviation 3/5   iterations 600/2000   F1 0.5182704808050941   accuracy 0.6472868217054264   precision 0.5165327668213394   recall 0.5291911272628178
deviation 3/5   iterations 610/2000   F1 0.5118754589180912   accuracy 0.627906976744186   precision 0.5137240127594499   recall 0.5276460792254002
deviation 3/5   iterations 620/2000   F1 0.5162553132581515   accuracy 0.6382428940568475   precision 0.5152019425865525   recall 0.532986439469345
deviation 3/5   iterations 630/2000   F1 0.5284974806491377   accuracy 0.6576227390180879   precision 0.5249538398703967   recall 0.5391261731022762
deviation 3/5   iterations 640/2000   F1 0.5242457388388772   accuracy 0.6498708010335917   precision 0.5236226997501795   recall 0.535103932477646
deviation 3/5   iterations 650/2000   F1 0.5177782667523142   accuracy 0.6408268733850129   precision 0.5173960078168621   recall 0.5318464275047736
deviation 3/5   iterations 660/2000   F1 0.5103786319688425   accuracy 0.648578811369509   precision 0.5088742428222334   recall 0.5226955472430452
deviation 3/5   iterations 670/2000   F1 0.5258351128737034   accuracy 0.6511627906976745   precision 0.523196219221297   recall 0.5383229465212193
deviation 3/5   iterations 680/2000   F1 0.5183483223452017   accuracy 0.6369509043927648   precision 0.5191831466025015   recall 0.5333617157821582
deviation 3/5   iterations 690/2000   F1 0.5264293215683064   accuracy 0.6537467700258398   precision 0.5291653792014283   recall 0.5355894346785154
deviation 3/5   iterations 700/2000   F1 0.5046128690297581   accuracy 0.599483204134367   precision 0.5252802670278398   recall 0.523182935048545
deviation 3/5   iterations 710/2000   F1 0.5195834398835638   accuracy 0.6317829457364341   precision 0.5295966690611116   recall 0.5343876486666028
deviation 3/5   iterations 720/2000   F1 0.5021609192881648   accuracy 0.6162790697674418   precision 0.5089330101643421   recall 0.5162212827538748
deviation 3/5   iterations 730/2000   F1 0.5002532017294182   accuracy 0.6124031007751938   precision 0.5089343476519611   recall 0.5132776489691194
deviation 3/5   iterations 740/2000   F1 0.5068586772418228   accuracy 0.6356589147286822   precision 0.5081086185250396   recall 0.5227504757257507
deviation 3/5   iterations 750/2000   F1 0.49206785441759093   accuracy 0.5904392764857881   precision 0.5110031974766968   recall 0.5095498496066342
deviation 3/5   iterations 760/2000   F1 0.5027231885581961   accuracy 0.6098191214470284   precision 0.5161463679504917   recall 0.5182155965901382
deviation 3/5   iterations 770/2000   F1 0.4854389736949625   accuracy 0.5633074935400517   precision 0.5228151228151229   recall 0.5172914453643189
deviation 3/5   iterations 780/2000   F1 0.501308397860122   accuracy 0.603359173126615   precision 0.5172040736595668   recall 0.5164119747699542
deviation 3/5   iterations 790/2000   F1 0.5055675431462908   accuracy 0.6136950904392765   precision 0.5162622839987095   recall 0.5211592303748934
deviation 3/5   iterations 800/2000   F1 0.5157154110430159   accuracy 0.6162790697674418   precision 0.5268709090256047   recall 0.536447220819633
deviation 3/5   iterations 810/2000   F1 0.5094732606714714   accuracy 0.6214470284237726   precision 0.5159371105359026   recall 0.52597822093859
deviation 3/5   iterations 820/2000   F1 0.516989822103056   accuracy 0.6421188630490956   precision 0.5174894432110052   recall 0.5290130196080747
deviation 3/5   iterations 830/2000   F1 0.49817118861331483   accuracy 0.599483204134367   precision 0.5104443553060877   recall 0.5185203676863442
deviation 3/5   iterations 840/2000   F1 0.4949520413318554   accuracy 0.5956072351421189   precision 0.5138321532316631   recall 0.5115251024395707
deviation 3/5   iterations 850/2000   F1 0.5026767482926973   accuracy 0.5956072351421189   precision 0.5195407024233812   recall 0.5272242366765022
deviation 3/5   iterations 860/2000   F1 0.5109416431028281   accuracy 0.6382428940568475   precision 0.5136373983831611   recall 0.5190844504106068
deviation 3/5   iterations 870/2000   F1 0.5129727644285835   accuracy 0.6330749354005168   precision 0.5147750742023574   recall 0.5285530550525227
deviation 3/5   iterations 880/2000   F1 0.4986776530995409   accuracy 0.5968992248062015   precision 0.515782710987247   recall 0.5183384068395307
deviation 3/5   iterations 890/2000   F1 0.511827979246012   accuracy 0.6188630490956072   precision 0.5218707092179216   recall 0.5272539964365351
deviation 3/5   iterations 900/2000   F1 0.5287548697114356   accuracy 0.6524547803617571   precision 0.5273284883504101   recall 0.543339105742986
deviation 3/5   iterations 910/2000   F1 0.49792712853000404   accuracy 0.5930232558139535   precision 0.5156482241786112   recall 0.5178529046386612
deviation 3/5   iterations 920/2000   F1 0.4898304121484917   accuracy 0.599483204134367   precision 0.502989643807532   recall 0.5020244835103465
deviation 3/5   iterations 930/2000   F1 0.5129513389109338   accuracy 0.627906976744186   precision 0.5167603080285988   recall 0.5293753426369067
deviation 3/5   iterations 940/2000   F1 0.5055853773084062   accuracy 0.6162790697674418   precision 0.516245870267733   recall 0.5188830596378212
deviation 3/5   iterations 950/2000   F1 0.5057808409789293   accuracy 0.6214470284237726   precision 0.5156214353792347   recall 0.5163993904086178
deviation 3/5   iterations 960/2000   F1 0.5167709874580044   accuracy 0.6408268733850129   precision 0.5197706147827122   recall 0.528320018915074
deviation 3/5   iterations 970/2000   F1 0.501024681940808   accuracy 0.599483204134367   precision 0.5279926699361915   recall 0.5217251987037862
deviation 3/5   iterations 980/2000   F1 0.48615090083192136   accuracy 0.5645994832041343   precision 0.5214867590263345   recall 0.5107958653445462
deviation 3/5   iterations 990/2000   F1 0.520522112316297   accuracy 0.6382428940568475   precision 0.5256993150055457   recall 0.5323254530636525
deviation 3/5   iterations 1000/2000   F1 0.4989218483536666   accuracy 0.6085271317829457   precision 0.5096047618789316   recall 0.5138604237740639
deviation 3/5   iterations 1010/2000   F1 0.5028999779507037   accuracy 0.6253229974160207   precision 0.5095415647480717   recall 0.5105609436024673
deviation 3/5   iterations 1020/2000   F1 0.4931891827100185   accuracy 0.5981912144702842   precision 0.5058723563581903   recall 0.5083164182300584
deviation 3/5   iterations 1030/2000   F1 0.5054745528278147   accuracy 0.6124031007751938   precision 0.5131329615418333   recall 0.5237889929715317
deviation 3/5   iterations 1040/2000   F1 0.5017124055022991   accuracy 0.6382428940568475   precision 0.5001312897219948   recall 0.5110991197587672
deviation 3/5   iterations 1050/2000   F1 0.5079872402774402   accuracy 0.6059431524547804   precision 0.5223512196722914   recall 0.5292418336308079
deviation 3/5   iterations 1060/2000   F1 0.5037072119502556   accuracy 0.6395348837209303   precision 0.5026061341967979   recall 0.5109953705127016
deviation 3/5   iterations 1070/2000   F1 0.506100037059103   accuracy 0.6253229974160207   precision 0.5096127803941751   recall 0.5175458790151799
deviation 3/5   iterations 1080/2000   F1 0.4938816423554658   accuracy 0.599483204134367   precision 0.5089288453523921   recall 0.5073480372782395
deviation 3/5   iterations 1090/2000   F1 0.5162700886201709   accuracy 0.6330749354005168   precision 0.5172001279144136   recall 0.5321473454089093
deviation 3/5   iterations 1100/2000   F1 0.5003802978235968   accuracy 0.6317829457364341   precision 0.49916650809507956   recall 0.5162125515846089
deviation 3/5   iterations 1110/2000   F1 0.4972567250267419   accuracy 0.6459948320413437   precision 0.4952047558430537   recall 0.5055425298534254
deviation 3/5   iterations 1120/2000   F1 0.49190098201865595   accuracy 0.6162790697674418   precision 0.4966132246533519   recall 0.5011831349226358
deviation 3/5   iterations 1130/2000   F1 0.4966508731217185   accuracy 0.599483204134367   precision 0.513783514585334   recall 0.5118069593403795
deviation 3/5   iterations 1140/2000   F1 0.498217056031039   accuracy 0.6149870801033591   precision 0.5069148432319788   recall 0.5084754648814745
deviation 3/5   iterations 1150/2000   F1 0.5057454911822217   accuracy 0.6304909560723514   precision 0.5063404290025284   recall 0.5175882231365492
deviation 3/5   iterations 1160/2000   F1 0.4878668703553899   accuracy 0.58656330749354   precision 0.5060077242959292   recall 0.5048769524103726
deviation 3/5   iterations 1170/2000   F1 0.4972529904850751   accuracy 0.6124031007751938   precision 0.5018543929796402   recall 0.5114126220242392
deviation 3/5   iterations 1180/2000   F1 0.5071091530646636   accuracy 0.6330749354005168   precision 0.5088434548902204   recall 0.5240262512236958
deviation 3/5   iterations 1190/2000   F1 0.4954730512449392   accuracy 0.5904392764857881   precision 0.511823754534752   recall 0.5183319301975401
deviation 3/5   iterations 1200/2000   F1 0.5054775485398479   accuracy 0.624031007751938   precision 0.5135431100728806   recall 0.5152593784440466
deviation 3/5   iterations 1210/2000   F1 0.5140998210930047   accuracy 0.6382428940568475   precision 0.51350399547743   recall 0.5270018992957595
deviation 3/5   iterations 1220/2000   F1 0.5205282015592004   accuracy 0.648578811369509   precision 0.5178879232667302   recall 0.5366654180684702
deviation 3/5   iterations 1230/2000   F1 0.4864127698029999   accuracy 0.5684754521963824   precision 0.5172474379072965   recall 0.5164691577799351
deviation 3/5   iterations 1240/2000   F1 0.48573324375993243   accuracy 0.5968992248062015   precision 0.49773201931862676   recall 0.49797670524039855
deviation 3/5   iterations 1250/2000   F1 0.526019852937313   accuracy 0.6524547803617571   precision 0.5219972710845595   recall 0.5372188020360267
deviation 3/5   iterations 1260/2000   F1 0.48005255452155166   accuracy 0.5645994832041343   precision 0.5094823078911298   recall 0.5064727068157803
deviation 3/5   iterations 1270/2000   F1 0.4962282646966168   accuracy 0.5981912144702842   precision 0.5134984594355372   recall 0.5137757355313252
deviation 3/5   iterations 1280/2000   F1 0.5055678653065762   accuracy 0.6266149870801033   precision 0.5090419417348179   recall 0.5173063662357404
deviation 3/5   iterations 1290/2000   F1 0.5079526174398906   accuracy 0.6291989664082688   precision 0.5090870824639082   recall 0.5204216310332482
deviation 3/5   iterations 1300/2000   F1 0.484671420903305   accuracy 0.5788113695090439   precision 0.5054858250656252   recall 0.5024482116638748
deviation 3/5   iterations 1310/2000   F1 0.49811216947349735   accuracy 0.599483204134367   precision 0.5079737335834897   recall 0.5195886446921582
deviation 3/5   iterations 1320/2000   F1 0.4992015528265738   accuracy 0.6291989664082688   precision 0.49959874087459993   recall 0.5097745234974621
deviation 3/5   iterations 1330/2000   F1 0.495887338505363   accuracy 0.5981912144702842   precision 0.5047687600892821   recall 0.515301353642771
deviation 3/5   iterations 1340/2000   F1 0.5116022774955146   accuracy 0.6447028423772609   precision 0.5092526598890278   recall 0.5241429537537429
deviation 3/5   iterations 1350/2000   F1 0.48387966445841757   accuracy 0.5878552971576227   precision 0.49892298428133613   recall 0.4975846224515336
deviation 3/5   iterations 1360/2000   F1 0.48846552189025644   accuracy 0.5878552971576227   precision 0.5073756714249985   recall 0.5055699531033732
deviation 3/5   iterations 1370/2000   F1 0.4829048545780584   accuracy 0.58656330749354   precision 0.492396928468357   recall 0.5027403983987445
deviation 3/5   iterations 1380/2000   F1 0.5013450319803519   accuracy 0.6253229974160207   precision 0.499957509014334   recall 0.516409720242679
deviation 3/5   iterations 1390/2000   F1 0.5101147563029286   accuracy 0.6317829457364341   precision 0.5082365741384729   recall 0.5259950274146418
deviation 3/5   iterations 1400/2000   F1 0.4897482699523259   accuracy 0.599483204134367   precision 0.498834247669153   recall 0.5054151285666725
deviation 3/5   iterations 1410/2000   F1 0.4964149641322124   accuracy 0.6149870801033591   precision 0.5001400890505948   recall 0.5101368465262941
deviation 3/5   iterations 1420/2000   F1 0.47569762115039754   accuracy 0.5594315245478036   precision 0.5057287179600463   recall 0.49478285991949783
deviation 3/5   iterations 1430/2000   F1 0.513743368495064   accuracy 0.6408268733850129   precision 0.5114661182982162   recall 0.5265228737368806
deviation 3/5   iterations 1440/2000   F1 0.5065783148049748   accuracy 0.6421188630490956   precision 0.5073014288556423   recall 0.5260118338906935
deviation 3/5   iterations 1450/2000   F1 0.507257139145684   accuracy 0.627906976744186   precision 0.5085170350998219   recall 0.5197965121069344
deviation 3/5   iterations 1460/2000   F1 0.48183866693255145   accuracy 0.5878552971576227   precision 0.4954936755756816   recall 0.4939903320951469
deviation 3/5   iterations 1470/2000   F1 0.4879487456566845   accuracy 0.6020671834625323   precision 0.4949940711920888   recall 0.5006808262457144
deviation 3/5   iterations 1480/2000   F1 0.47817043617333255   accuracy 0.5801033591731266   precision 0.4924298292661125   recall 0.4925619865877762
deviation 3/5   iterations 1490/2000   F1 0.5206465714880687   accuracy 0.6524547803617571   precision 0.5172924297924298   recall 0.5326919982071999
deviation 3/5   iterations 1500/2000   F1 0.4803991882747776   accuracy 0.5749354005167958   precision 0.49982659303448135   recall 0.5012338412906259
deviation 3/5   iterations 1510/2000   F1 0.5137919233736619   accuracy 0.6266149870801033   precision 0.5152710697373181   recall 0.5322087505336056
deviation 3/5   iterations 1520/2000   F1 0.49926512847504007   accuracy 0.6072351421188631   precision 0.5084533720981455   recall 0.5158291999650098
deviation 3/5   iterations 1530/2000   F1 0.4924488921441779   accuracy 0.5930232558139535   precision 0.5111824335252636   recall 0.5092744693478161
deviation 3/5   iterations 1540/2000   F1 0.5075973409306743   accuracy 0.6175710594315246   precision 0.5098614152619537   recall 0.5256284822710944
deviation 3/5   iterations 1550/2000   F1 0.4897527339972337   accuracy 0.6072351421188631   precision 0.4947376089711855   recall 0.5025203155452771
deviation 3/5   iterations 1560/2000   F1 0.4860550278100077   accuracy 0.6020671834625323   precision 0.4909612719598681   recall 0.4997483127732743
deviation 3/5   iterations 1570/2000   F1 0.5051474795490415   accuracy 0.6098191214470284   precision 0.5147017418487996   recall 0.5234033868246574
deviation 3/5   iterations 1580/2000   F1 0.5043575531419326   accuracy 0.6201550387596899   precision 0.5050137545478747   recall 0.5216230481225158
deviation 3/5   iterations 1590/2000   F1 0.5077476261087777   accuracy 0.6175710594315246   precision 0.5120249150583085   recall 0.5246959687986542
deviation 3/5   iterations 1600/2000   F1 0.5095032872831845   accuracy 0.6317829457364341   precision 0.5086354296880612   recall 0.5218076324192497
deviation 3/5   iterations 1610/2000   F1 0.512927507954574   accuracy 0.6447028423772609   precision 0.5104980324335163   recall 0.5267368488710024
deviation 3/5   iterations 1620/2000   F1 0.5126526624328286   accuracy 0.6563307493540051   precision 0.5148298651992947   recall 0.5292438012182482
deviation 3/5   iterations 1630/2000   F1 0.5128910944015593   accuracy 0.6330749354005168   precision 0.5129043836694995   recall 0.5268237916410162
deviation 3/5   iterations 1640/2000   F1 0.5059651018059698   accuracy 0.6253229974160207   precision 0.5060626066547195   recall 0.5217332740105719
deviation 3/5   iterations 1650/2000   F1 0.49876232699824863   accuracy 0.6098191214470284   precision 0.508698711518075   recall 0.5110270158773648
deviation 3/5   iterations 1660/2000   F1 0.5140267653402878   accuracy 0.6511627906976745   precision 0.5123715868914355   recall 0.5300660888026321
deviation 3/5   iterations 1670/2000   F1 0.4999528813845724   accuracy 0.6072351421188631   precision 0.5076905299754801   recall 0.517626345143203
deviation 3/5   iterations 1680/2000   F1 0.51635735812467   accuracy 0.6563307493540051   precision 0.5152959980825133   recall 0.5302441964573752
deviation 3/5   iterations 1690/2000   F1 0.5246924636832345   accuracy 0.6602067183462532   precision 0.521597603535844   recall 0.5359853706594508
deviation 3/5   iterations 1700/2000   F1 0.5097251132998831   accuracy 0.6382428940568475   precision 0.508291574693513   recall 0.5225429772336195
deviation 3/5   iterations 1710/2000   F1 0.5064735658666262   accuracy 0.6188630490956072   precision 0.5096641290874461   recall 0.5237275878468354
deviation 3/5   iterations 1720/2000   F1 0.5107923990172328   accuracy 0.6188630490956072   precision 0.5159833836715059   recall 0.5281865099089753
deviation 3/5   iterations 1730/2000   F1 0.5190038821706774   accuracy 0.6188630490956072   precision 0.5213055624077307   recall 0.5454791440240393
deviation 3/5   iterations 1740/2000   F1 0.5194907910611103   accuracy 0.6421188630490956   precision 0.5205496887566101   recall 0.5292845466748223
deviation 3/5   iterations 1750/2000   F1 0.5084255687716794   accuracy 0.6020671834625323   precision 0.5161878349245527   recall 0.5367416620817781
deviation 3/5   iterations 1760/2000   F1 0.5052565267764622   accuracy 0.6046511627906976   precision 0.5177234656140741   recall 0.5268195695263008
deviation 3/5   iterations 1770/2000   F1 0.49862625354364143   accuracy 0.6059431524547804   precision 0.5088266736435515   recall 0.5143394493329428
deviation 3/5   iterations 1780/2000   F1 0.5050367916195143   accuracy 0.6162790697674418   precision 0.5093752513234396   recall 0.5206802048160145
deviation 3/5   iterations 1790/2000   F1 0.5052900413778841   accuracy 0.6162790697674418   precision 0.5098341496646581   recall 0.5215448365217679
deviation 3/5   iterations 1800/2000   F1 0.5058271611639696   accuracy 0.6266149870801033   precision 0.5080382012804247   recall 0.5182388797081806
deviation 3/5   iterations 1810/2000   F1 0.4991192207484709   accuracy 0.6059431524547804   precision 0.5078650353298241   recall 0.5152719628053829
deviation 3/5   iterations 1820/2000   F1 0.523070976573435   accuracy 0.6563307493540051   precision 0.5209181144952777   recall 0.5364323819310215
deviation 3/5   iterations 1830/2000   F1 0.5012752478011093   accuracy 0.6175710594315246   precision 0.5026684219050246   recall 0.5159817699744352
deviation 3/5   iterations 1840/2000   F1 0.5241905970834146   accuracy 0.6627906976744186   precision 0.5206203814328068   recall 0.5313868318718667
deviation 3/5   iterations 1850/2000   F1 0.516318702191412   accuracy 0.6421188630490956   precision 0.5133478244443171   recall 0.530674401252894
deviation 3/5   iterations 1860/2000   F1 0.49275740575013116   accuracy 0.5956072351421189   precision 0.5073442638223388   recall 0.5096600754946904
deviation 3/5   iterations 1870/2000   F1 0.5000605394794608   accuracy 0.6072351421188631   precision 0.510931906156007   recall 0.5168295952041367
deviation 3/5   iterations 1880/2000   F1 0.5046599840289161   accuracy 0.6253229974160207   precision 0.505746867592315   recall 0.517477997248493
deviation 3/5   iterations 1890/2000   F1 0.49368039368039374   accuracy 0.6175710594315246   precision 0.5001280458349081   recall 0.5112513208455477
deviation 3/5   iterations 1900/2000   F1 0.5186545887013122   accuracy 0.6602067183462532   precision 0.5252307323504734   recall 0.5331199484754435
deviation 3/5   iterations 1910/2000   F1 0.5131768625464638   accuracy 0.6459948320413437   precision 0.5123190649506438   recall 0.5290912312088226
deviation 3/5   iterations 1920/2000   F1 0.517251244037201   accuracy 0.6434108527131783   precision 0.5155339473284631   recall 0.5313674019458948
deviation 3/5   iterations 1930/2000   F1 0.49965090502787585   accuracy 0.6149870801033591   precision 0.500620893937399   recall 0.5162571502332534
deviation 3/5   iterations 1940/2000   F1 0.5023048743619773   accuracy 0.6227390180878553   precision 0.5048509137895163   recall 0.5137017460452927
deviation 3/5   iterations 1950/2000   F1 0.5024494874407376   accuracy 0.6214470284237726   precision 0.5035570603274556   recall 0.5171282585809972
deviation 3/5   iterations 1960/2000   F1 0.5297623154125396   accuracy 0.665374677002584   precision 0.526619114365236   recall 0.537231755320008
deviation 3/5   iterations 1970/2000   F1 0.49044335770504716   accuracy 0.5981912144702842   precision 0.49753835748959346   recall 0.5089774046357508
deviation 3/5   iterations 1980/2000   F1 0.5098003529462806   accuracy 0.624031007751938   precision 0.5165288178433461   recall 0.5231089455625123
deviation 3/5   iterations 1990/2000   F1 0.5096714405971706   accuracy 0.6111111111111112   precision 0.5150831883670101   recall 0.5320138364028107
deviation 3/5   iterations 2000/2000   F1 0.5229156250473463   accuracy 0.6576227390180879   precision 0.5195502213366183   recall 0.5353961192125157

deviation 4/5   iterations 10/2000   F1 0.1827584140181875   accuracy 0.2868217054263566   precision 0.3656593406593407   recall 0.3416748792946593
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deviation 4/5   iterations 20/2000   F1 0.47128738775999746   accuracy 0.6330749354005168   precision 0.4868149764550543   recall 0.474199189862268
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deviation 4/5   iterations 30/2000   F1 0.4739576211114966   accuracy 0.5891472868217055   precision 0.48766359834908224   recall 0.49420816042133914
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deviation 4/5   iterations 40/2000   F1 0.4924144519228116   accuracy 0.6382428940568475   precision 0.49751074575620585   recall 0.48875445894255787
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deviation 4/5   iterations 50/2000   F1 0.49486288775802406   accuracy 0.603359173126615   precision 0.4981972444689926   recall 0.5131570932470022
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deviation 4/5   iterations 60/2000   F1 0.49248609480296496   accuracy 0.6111111111111112   precision 0.4986010819127025   recall 0.5050066082244008
deviation 4/5   iterations 70/2000   F1 0.4979045049909461   accuracy 0.6111111111111112   precision 0.504973113294095   recall 0.5119236618704264
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deviation 4/5   iterations 80/2000   F1 0.5014649927767717   accuracy 0.6330749354005168   precision 0.5043119300204727   recall 0.5070051441753796
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deviation 4/5   iterations 90/2000   F1 0.4981522286466509   accuracy 0.6020671834625323   precision 0.5031040373138502   recall 0.5182449874275261
deviation 4/5   iterations 100/2000   F1 0.5020870619754014   accuracy 0.6343669250645995   precision 0.5040351114190235   recall 0.5076981448683803
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deviation 4/5   iterations 110/2000   F1 0.5050275077863743   accuracy 0.599483204134367   precision 0.5258344870815838   recall 0.5295747658222519
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deviation 4/5   iterations 120/2000   F1 0.5296937020266208   accuracy 0.6576227390180879   precision 0.5373034232604973   recall 0.5378042002908914
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deviation 4/5   iterations 130/2000   F1 0.5091528235707824   accuracy 0.6162790697674418   precision 0.5138571124955941   recall 0.526800508522974
deviation 4/5   iterations 140/2000   F1 0.5072249266679628   accuracy 0.6175710594315246   precision 0.5253713413450031   recall 0.5207801008700098
deviation 4/5   iterations 150/2000   F1 0.5148400339838639   accuracy 0.6640826873385013   precision 0.5253953426125215   recall 0.513193698571671
deviation 4/5   iterations 160/2000   F1 0.5157662507631384   accuracy 0.6214470284237726   precision 0.5322242480575814   recall 0.5342350786571773
deviation 4/5   iterations 170/2000   F1 0.5163930150785726   accuracy 0.6227390180878553   precision 0.5353291567643074   recall 0.534995961116865
deviation 4/5   iterations 180/2000   F1 0.5278836461441464   accuracy 0.6524547803617571   precision 0.5314855794460774   recall 0.5384907243419014
deviation 4/5   iterations 190/2000   F1 0.5169565385269287   accuracy 0.6343669250645995   precision 0.5298554449554612   recall 0.5315862550572121
deviation 4/5   iterations 200/2000   F1 0.5238616037409133   accuracy 0.6343669250645995   precision 0.5340516654620014   recall 0.5410972038204973
deviation 4/5   iterations 210/2000   F1 0.5297031587614692   accuracy 0.6447028423772609   precision 0.5418668803311283   recall 0.5458444594254366
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deviation 4/5   iterations 220/2000   F1 0.539049203216089   accuracy 0.6705426356589147   precision 0.5425272353903449   recall 0.5455988389266516
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deviation 4/5   iterations 230/2000   F1 0.5463569464646604   accuracy 0.6627906976744186   precision 0.5455082808290778   recall 0.562327759240098
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deviation 4/5   iterations 240/2000   F1 0.5517868169444763   accuracy 0.6731266149870802   precision 0.5493393124440024   recall 0.5643453561944038
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deviation 4/5   iterations 250/2000   F1 0.5295498481844222   accuracy 0.6459948320413437   precision 0.5400091631287388   recall 0.5429431697620507
deviation 4/5   iterations 260/2000   F1 0.5154812976646667   accuracy 0.6201550387596899   precision 0.5312650866736714   recall 0.5334741961974897
deviation 4/5   iterations 270/2000   F1 0.5470734831149288   accuracy 0.6731266149870802   precision 0.5451445520941621   recall 0.5564279073092512
deviation 4/5   iterations 280/2000   F1 0.5330358123539577   accuracy 0.6563307493540051   precision 0.5348071104944632   recall 0.5440282532439163
deviation 4/5   iterations 290/2000   F1 0.5240112432896796   accuracy 0.6434108527131783   precision 0.5314757497723938   recall 0.5363014963748431
deviation 4/5   iterations 300/2000   F1 0.5249613781217484   accuracy 0.6498708010335917   precision 0.5309883655748318   recall 0.5353754595443937
deviation 4/5   iterations 310/2000   F1 0.5294645198903533   accuracy 0.6434108527131783   precision 0.5310770895049636   recall 0.5466091950771946
deviation 4/5   iterations 320/2000   F1 0.5040219928069298   accuracy 0.6330749354005168   precision 0.5197673731997865   recall 0.5179237787779134
deviation 4/5   iterations 330/2000   F1 0.4916184156264518   accuracy 0.6098191214470284   precision 0.5220191936354697   recall 0.5072469114820942
deviation 4/5   iterations 340/2000   F1 0.5371465027863133   accuracy 0.6589147286821705   precision 0.5384012783647819   recall 0.5506699266311238
deviation 4/5   iterations 350/2000   F1 0.5348915303603091   accuracy 0.6498708010335917   precision 0.5392704386861066   recall 0.5519392254870783
deviation 4/5   iterations 360/2000   F1 0.5307480029048657   accuracy 0.6511627906976745   precision 0.5360576429926945   recall 0.5439859091225471
deviation 4/5   iterations 370/2000   F1 0.5329624583361287   accuracy 0.6524547803617571   precision 0.5329906310327116   recall 0.5478659095718128
deviation 4/5   iterations 380/2000   F1 0.5206497138109674   accuracy 0.6472868217054264   precision 0.5298321234119782   recall 0.5305988131020664
deviation 4/5   iterations 390/2000   F1 0.4996355538858465   accuracy 0.6188630490956072   precision 0.5303444829243712   recall 0.5200832469849387
deviation 4/5   iterations 400/2000   F1 0.5214387707297378   accuracy 0.6356589147286822   precision 0.5365499098302215   recall 0.5411292181078057
deviation 4/5   iterations 410/2000   F1 0.5156816237221084   accuracy 0.6188630490956072   precision 0.5302377405894448   recall 0.5372401175666289
deviation 4/5   iterations 420/2000   F1 0.5084968697061859   accuracy 0.6356589147286822   precision 0.5250185101660626   recall 0.5219036752811744
deviation 4/5   iterations 430/2000   F1 0.5376159227628912   accuracy 0.661498708010336   precision 0.5349933266599933   recall 0.5493262693664919
deviation 4/5   iterations 440/2000   F1 0.554238259234752   accuracy 0.6705426356589147   precision 0.5482921789833194   recall 0.5706052766268074
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deviation 4/5   iterations 450/2000   F1 0.5186222511570766   accuracy 0.6498708010335917   precision 0.5245555449035461   recall 0.5266612607201747
deviation 4/5   iterations 460/2000   F1 0.5241920591658692   accuracy 0.6369509043927648   precision 0.5290370633791687   recall 0.5405502964949315
deviation 4/5   iterations 470/2000   F1 0.511583066593816   accuracy 0.6304909560723514   precision 0.5228116195097327   recall 0.5259808443885103
deviation 4/5   iterations 480/2000   F1 0.5309708060565793   accuracy 0.6627906976744186   precision 0.5343583725998142   recall 0.5379144261789476
deviation 4/5   iterations 490/2000   F1 0.516454961201119   accuracy 0.624031007751938   precision 0.5260814728890096   recall 0.5354174347431179
deviation 4/5   iterations 500/2000   F1 0.5130454664616155   accuracy 0.6266149870801033   precision 0.5294193556131758   recall 0.5300900277831545
deviation 4/5   iterations 510/2000   F1 0.5166103430619559   accuracy 0.6175710594315246   precision 0.5348711355695057   recall 0.5410060389357679
deviation 4/5   iterations 520/2000   F1 0.5187050306102252   accuracy 0.6136950904392765   precision 0.5366464562735427   recall 0.5476412356809849
deviation 4/5   iterations 530/2000   F1 0.5479341544915316   accuracy 0.6770025839793282   precision 0.5446290143964563   recall 0.5549805007985535
deviation 4/5   iterations 540/2000   F1 0.528371590709627   accuracy 0.6459948320413437   precision 0.5271853015053852   recall 0.5435362744010561
deviation 4/5   iterations 550/2000   F1 0.5147556083132824   accuracy 0.6124031007751938   precision 0.5297662423078627   recall 0.5380303908637045
deviation 4/5   iterations 560/2000   F1 0.5154563993987021   accuracy 0.6343669250645995   precision 0.5284125077673102   recall 0.5289244781732655
deviation 4/5   iterations 570/2000   F1 0.5207314229260364   accuracy 0.6291989664082688   precision 0.5364344425511357   recall 0.5401902279933748
deviation 4/5   iterations 580/2000   F1 0.5223149461128173   accuracy 0.6291989664082688   precision 0.5302916379564682   recall 0.5417837278715073
deviation 4/5   iterations 590/2000   F1 0.5295240332413598   accuracy 0.6550387596899225   precision 0.5278528528528529   recall 0.5396730804278421
deviation 4/5   iterations 600/2000   F1 0.5404298442916171   accuracy 0.661498708010336   precision 0.5359625366734372   recall 0.5535815461285708
deviation 4/5   iterations 610/2000   F1 0.5211963786273163   accuracy 0.627906976744186   precision 0.5317172249323976   recall 0.5402260954727535
deviation 4/5   iterations 620/2000   F1 0.4828328064629435   accuracy 0.5607235142118863   precision 0.5420254702493145   recall 0.5294858554647979
deviation 4/5   iterations 630/2000   F1 0.5167920642933262   accuracy 0.6046511627906976   precision 0.5390630707415074   recall 0.5517080749542598
deviation 4/5   iterations 640/2000   F1 0.516926362689302   accuracy 0.6188630490956072   precision 0.5360423073851209   recall 0.5408344079230155
deviation 4/5   iterations 650/2000   F1 0.5140120152455727   accuracy 0.6356589147286822   precision 0.5220404203455051   recall 0.5250227932707526
deviation 4/5   iterations 660/2000   F1 0.5046657902720194   accuracy 0.6085271317829457   precision 0.5240603429794274   recall 0.5256436900823509
deviation 4/5   iterations 670/2000   F1 0.5266110877537603   accuracy 0.6434108527131783   precision 0.528415024546404   recall 0.542947022954121
deviation 4/5   iterations 680/2000   F1 0.5380671126018003   accuracy 0.661498708010336   precision 0.5369871218927823   recall 0.5501230193055581
deviation 4/5   iterations 690/2000   F1 0.5301258195995038   accuracy 0.6550387596899225   precision 0.5391936452960283   recall 0.540809239200343
deviation 4/5   iterations 700/2000   F1 0.5276817716333845   accuracy 0.6395348837209303   precision 0.5309338678515613   recall 0.546191574643012
deviation 4/5   iterations 710/2000   F1 0.5174928082525511   accuracy 0.6227390180878553   precision 0.5347830834506443   recall 0.540319514884758
deviation 4/5   iterations 720/2000   F1 0.514288043718925   accuracy 0.6304909560723514   precision 0.5383920956280459   recall 0.5341019385737238
deviation 4/5   iterations 730/2000   F1 0.5139304422157505   accuracy 0.6124031007751938   precision 0.5265339202585112   recall 0.5380303908637045
deviation 4/5   iterations 740/2000   F1 0.5227604350629769   accuracy 0.6291989664082688   precision 0.5375258799171843   recall 0.5455137817612679
deviation 4/5   iterations 750/2000   F1 0.5139558525737808   accuracy 0.6085271317829457   precision 0.5362005603233674   recall 0.5423432195584094
deviation 4/5   iterations 760/2000   F1 0.5053043157545271   accuracy 0.5956072351421189   precision 0.5365310245310245   recall 0.5400078982239163
deviation 4/5   iterations 770/2000   F1 0.5031352059914923   accuracy 0.5878552971576227   precision 0.5306714659430062   recall 0.5446319746568179
deviation 4/5   iterations 780/2000   F1 0.5132217511954199   accuracy 0.6059431524547804   precision 0.5479471043014817   recall 0.5500108258300616
deviation 4/5   iterations 790/2000   F1 0.49845692169338324   accuracy 0.582687338501292   precision 0.5234231330300063   recall 0.5273470469258946
deviation 4/5   iterations 800/2000   F1 0.5067807510991241   accuracy 0.6343669250645995   precision 0.5230003225286244   recall 0.5185488977042271
deviation 4/5   iterations 810/2000   F1 0.5202383625010634   accuracy 0.627906976744186   precision 0.5260688199629734   recall 0.5408870818784459
deviation 4/5   iterations 820/2000   F1 0.5255807202596258   accuracy 0.6382428940568475   precision 0.5271913580246914   recall 0.5430404423661256
deviation 4/5   iterations 830/2000   F1 0.502476905890453   accuracy 0.603359173126615   precision 0.5172116302697664   recall 0.5236005554827275
deviation 4/5   iterations 840/2000   F1 0.5165991978085226   accuracy 0.6214470284237726   precision 0.5276905887519697   recall 0.5376936054801901
deviation 4/5   iterations 850/2000   F1 0.5039165347696511   accuracy 0.603359173126615   precision 0.5185855264753221   recall 0.5270590823057403
deviation 4/5   iterations 860/2000   F1 0.5159758850598554   accuracy 0.6175710594315246   precision 0.5268272163760407   recall 0.5391410119908877
deviation 4/5   iterations 870/2000   F1 0.5124413563266326   accuracy 0.6020671834625323   precision 0.5298658276095827   recall 0.542200979383045
deviation 4/5   iterations 880/2000   F1 0.52049467919151   accuracy 0.6214470284237726   precision 0.5342080969036294   recall 0.5420846457756431
deviation 4/5   iterations 890/2000   F1 0.5102316862672688   accuracy 0.6111111111111112   precision 0.5182758605004096   recall 0.536133349631516
deviation 4/5   iterations 900/2000   F1 0.52636705671146   accuracy 0.6498708010335917   precision 0.5294656324068089   recall 0.5371047229559
deviation 4/5   iterations 910/2000   F1 0.5123611196713791   accuracy 0.6072351421188631   precision 0.5215770741521086   recall 0.540446178326221
deviation 4/5   iterations 920/2000   F1 0.5062628834996281   accuracy 0.6072351421188631   precision 0.5275980392156864   recall 0.53480104698607
deviation 4/5   iterations 930/2000   F1 0.5134558706955705   accuracy 0.5943152454780362   precision 0.5320520004342781   recall 0.5520807278171528
deviation 4/5   iterations 940/2000   F1 0.5191490859705535   accuracy 0.6253229974160207   precision 0.5281455642701992   recall 0.5388400940867522
deviation 4/5   iterations 950/2000   F1 0.49022943115670586   accuracy 0.5839793281653747   precision 0.5109156916999721   recall 0.5132055450877172
deviation 4/5   iterations 960/2000   F1 0.5187024524916373   accuracy 0.6253229974160207   precision 0.5310375038680643   recall 0.5389758576201259
deviation 4/5   iterations 970/2000   F1 0.5050134071170961   accuracy 0.5956072351421189   precision 0.5281382282918236   recall 0.5372103578065959
deviation 4/5   iterations 980/2000   F1 0.5036313722953758   accuracy 0.5968992248062015   precision 0.5192833437089588   recall 0.5315794094925764
deviation 4/5   iterations 990/2000   F1 0.5168971294829419   accuracy 0.6201550387596899   precision 0.5295923598517331   recall 0.5387977499653828
deviation 4/5   iterations 1000/2000   F1 0.5325046191528676   accuracy 0.6408268733850129   precision 0.532299245422605   recall 0.5538695107487253
deviation 4/5   iterations 1010/2000   F1 0.5340260963849001   accuracy 0.6511627906976745   precision 0.5316911818295336   recall 0.5490379358236924
deviation 4/5   iterations 1020/2000   F1 0.5103213766447714   accuracy 0.6214470284237726   precision 0.5152720969757882   recall 0.527046497944404
deviation 4/5   iterations 1030/2000   F1 0.4971619784783627   accuracy 0.6020671834625323   precision 0.5085867285752083   recall 0.5148543423712003
deviation 4/5   iterations 1040/2000   F1 0.509918308346576   accuracy 0.6201550387596899   precision 0.5173982590472176   recall 0.5254888655456501
deviation 4/5   iterations 1050/2000   F1 0.5025526415861356   accuracy 0.6007751937984496   precision 0.5205068637631319   recall 0.5267413579255529
deviation 4/5   iterations 1060/2000   F1 0.5020121274509128   accuracy 0.6020671834625323   precision 0.5127243988512817   recall 0.5265018451461135
deviation 4/5   iterations 1070/2000   F1 0.5209044473608677   accuracy 0.6330749354005168   precision 0.5206002525123111   recall 0.5383355308825556
deviation 4/5   iterations 1080/2000   F1 0.5099173487868841   accuracy 0.6266149870801033   precision 0.5150237233309957   recall 0.5236981970094474
deviation 4/5   iterations 1090/2000   F1 0.5340000122214278   accuracy 0.6356589147286822   precision 0.5356384553567652   recall 0.5622698383848271
deviation 4/5   iterations 1100/2000   F1 0.5240143238564398   accuracy 0.6459948320413437   precision 0.521904982167433   recall 0.5366192207550305
deviation 4/5   iterations 1110/2000   F1 0.5295193385236024   accuracy 0.6550387596899225   precision 0.5262963025352689   recall 0.5437925936565473
deviation 4/5   iterations 1120/2000   F1 0.5191978189988465   accuracy 0.6214470284237726   precision 0.5268903887014124   recall 0.5428813957147093
deviation 4/5   iterations 1130/2000   F1 0.49112867744188   accuracy 0.5839793281653747   precision 0.5092633013322847   recall 0.5167998354441038
deviation 4/5   iterations 1140/2000   F1 0.513419579606445   accuracy 0.6136950904392765   precision 0.522049956933678   recall 0.5361294964394455
deviation 4/5   iterations 1150/2000   F1 0.5119512203458187   accuracy 0.6214470284237726   precision 0.5142884926835786   recall 0.5306407883007906
deviation 4/5   iterations 1160/2000   F1 0.49914395942546075   accuracy 0.6136950904392765   precision 0.506903954719344   recall 0.5123771497839876
deviation 4/5   iterations 1170/2000   F1 0.4946660520638692   accuracy 0.603359173126615   precision 0.5057363127158588   recall 0.5094270393572417
deviation 4/5   iterations 1180/2000   F1 0.5104898433547248   accuracy 0.6149870801033591   precision 0.5155695606208912   recall 0.5323635750703064
deviation 4/5   iterations 1190/2000   F1 0.5075682885167009   accuracy 0.6330749354005168   precision 0.5100593494102622   recall 0.5175843699444788
deviation 4/5   iterations 1200/2000   F1 0.4853988621504091   accuracy 0.5839793281653747   precision 0.5045627468103163   recall 0.5026263193186179
deviation 4/5   iterations 1210/2000   F1 0.5070949655931436   accuracy 0.6214470284237726   precision 0.5113975414727294   recall 0.5217229441765109
deviation 4/5   iterations 1220/2000   F1 0.45904058867970426   accuracy 0.5361757105943152   precision 0.498465735075393   recall 0.4914303368698258
deviation 4/5   iterations 1230/2000   F1 0.48701088958925026   accuracy 0.5697674418604651   precision 0.5144602797314249   recall 0.5252832526581491
deviation 4/5   iterations 1240/2000   F1 0.4757643007162687   accuracy 0.5684754521963824   precision 0.49818936034590616   recall 0.5034318004269501
deviation 4/5   iterations 1250/2000   F1 0.5015949587992262   accuracy 0.6201550387596899   precision 0.5029957745003976   recall 0.5157063897156172
deviation 4/5   iterations 1260/2000   F1 0.5088889966619371   accuracy 0.6369509043927648   precision 0.5084643725632909   recall 0.5185272132509801
deviation 4/5   iterations 1270/2000   F1 0.48675590258740614   accuracy 0.5762273901808785   precision 0.5064474808491036   recall 0.5171007533482395
deviation 4/5   iterations 1280/2000   F1 0.518767150766121   accuracy 0.6382428940568475   precision 0.5186397532481015   recall 0.5332579665360927
deviation 4/5   iterations 1290/2000   F1 0.5140971095743571   accuracy 0.6162790697674418   precision 0.5182213454303216   recall 0.5367187478863807
deviation 4/5   iterations 1300/2000   F1 0.49193674336109666   accuracy 0.5775193798449613   precision 0.5173112308238007   recall 0.5267115981655198
deviation 4/5   iterations 1310/2000   F1 0.4935714829394316   accuracy 0.5904392764857881   precision 0.5043607627608123   recall 0.5183998119642269
deviation 4/5   iterations 1320/2000   F1 0.5189762558858941   accuracy 0.6434108527131783   precision 0.5170174662182098   recall 0.533232428890775
deviation 4/5   iterations 1330/2000   F1 0.5209041674657103   accuracy 0.6304909560723514   precision 0.5213919413919413   recall 0.5388145564414345
deviation 4/5   iterations 1340/2000   F1 0.4977322707654938   accuracy 0.6072351421188631   precision 0.509680239115723   recall 0.5161686087984444
deviation 4/5   iterations 1350/2000   F1 0.5006865418669265   accuracy 0.599483204134367   precision 0.5114414968238206   recall 0.524115448520985
deviation 4/5   iterations 1360/2000   F1 0.4906582456360307   accuracy 0.5697674418604651   precision 0.516296458136091   recall 0.5331328197766149
deviation 4/5   iterations 1370/2000   F1 0.4998039626521038   accuracy 0.6085271317829457   precision 0.5073053871910315   recall 0.5195233863753916
deviation 4/5   iterations 1380/2000   F1 0.50615411940522   accuracy 0.6175710594315246   precision 0.5129754914827522   recall 0.5215089690423892
deviation 4/5   iterations 1390/2000   F1 0.49794298912976015   accuracy 0.5943152454780362   precision 0.5130727338290483   recall 0.5241409861663026
deviation 4/5   iterations 1400/2000   F1 0.5300607743691138   accuracy 0.6459948320413437   precision 0.5282282644696809   recall 0.5462659330516896
deviation 4/5   iterations 1410/2000   F1 0.5230108818339839   accuracy 0.6382428940568475   precision 0.5232943469785575   recall 0.5396497973097997
deviation 4/5   iterations 1420/2000   F1 0.49822327480933487   accuracy 0.5968992248062015   precision 0.510086407200437   recall 0.5217969336625435
deviation 4/5   iterations 1430/2000   F1 0.5126876721048335   accuracy 0.6227390180878553   precision 0.5144172723478508   recall 0.5321305389328577
deviation 4/5   iterations 1440/2000   F1 0.5153756925051897   accuracy 0.6227390180878553   precision 0.5163953475254114   recall 0.5357248292892444
deviation 4/5   iterations 1450/2000   F1 0.48936305745475805   accuracy 0.5801033591731266   precision 0.5060881775351874   recall 0.5165179785432951
deviation 4/5   iterations 1460/2000   F1 0.5007190083091412   accuracy 0.6136950904392765   precision 0.5047139487596182   recall 0.5166324265460667
deviation 4/5   iterations 1470/2000   F1 0.4776437386717987   accuracy 0.5775193798449613   precision 0.4961165328267669   recall 0.5003653563928023
deviation 4/5   iterations 1480/2000   F1 0.4806512808944727   accuracy 0.5801033591731266   precision 0.4948340534236905   recall 0.5020050535843745
deviation 4/5   iterations 1490/2000   F1 0.49396365142782434   accuracy 0.599483204134367   precision 0.5075604362083429   recall 0.5174020401750202
deviation 4/5   iterations 1500/2000   F1 0.49790798003337056   accuracy 0.603359173126615   precision 0.5048183700357614   recall 0.5174123700090812
deviation 4/5   iterations 1510/2000   F1 0.47538516524351254   accuracy 0.5645994832041343   precision 0.4955165368093251   recall 0.5020816665203274
deviation 4/5   iterations 1520/2000   F1 0.5126391866056957   accuracy 0.6330749354005168   precision 0.5137945875333768   recall 0.5253660552962576
deviation 4/5   iterations 1530/2000   F1 0.4890402227910853   accuracy 0.5891472868217055   precision 0.5005835667600373   recall 0.5097214806193867
deviation 4/5   iterations 1540/2000   F1 0.4738018695542902   accuracy 0.5452196382428941   precision 0.511162473263537   recall 0.516507279786589
deviation 4/5   iterations 1550/2000   F1 0.480024675598298   accuracy 0.58656330749354   precision 0.48948577700879986   recall 0.49702738529190676
deviation 4/5   iterations 1560/2000   F1 0.4825532066911377   accuracy 0.582687338501292   precision 0.49590607200871833   recall 0.5029337138647443
deviation 4/5   iterations 1570/2000   F1 0.505985204409659   accuracy 0.6046511627906976   precision 0.5150351886950285   recall 0.5314142551218146
deviation 4/5   iterations 1580/2000   F1 0.4796068879883591   accuracy 0.562015503875969   precision 0.5035822895727025   recall 0.5166663264380051
deviation 4/5   iterations 1590/2000   F1 0.49495165828459714   accuracy 0.5904392764857881   precision 0.5048710294221889   recall 0.5201969571424203
deviation 4/5   iterations 1600/2000   F1 0.5058767593323702   accuracy 0.6059431524547804   precision 0.5128547922665571   recall 0.5293775971641818
deviation 4/5   iterations 1610/2000   F1 0.49431494210993615   accuracy 0.582687338501292   precision 0.5115361006237273   recall 0.525821428814449
deviation 4/5   iterations 1620/2000   F1 0.5115141991059535   accuracy 0.6408268733850129   precision 0.5090429591669846   recall 0.5222675969748015
deviation 4/5   iterations 1630/2000   F1 0.5047723270354433   accuracy 0.6098191214470284   precision 0.5076119305165019   recall 0.5251326502361637
deviation 4/5   iterations 1640/2000   F1 0.5029596306793169   accuracy 0.624031007751938   precision 0.504944406796677   recall 0.5142589832049196
deviation 4/5   iterations 1650/2000   F1 0.49505797483044106   accuracy 0.5891472868217055   precision 0.5101690209098708   recall 0.5203685881551728
deviation 4/5   iterations 1660/2000   F1 0.496427749965596   accuracy 0.6059431524547804   precision 0.4989289862365429   recall 0.5142036857995689
deviation 4/5   iterations 1670/2000   F1 0.5101141684358325   accuracy 0.6369509043927648   precision 0.5097384483030701   recall 0.5261052533026981
deviation 4/5   iterations 1680/2000   F1 0.5048460960770816   accuracy 0.6149870801033591   precision 0.5094872220045558   recall 0.5233099674126528
deviation 4/5   iterations 1690/2000   F1 0.4677997497175032   accuracy 0.5594315245478036   precision 0.48914960856708434   recall 0.4887983197459123
deviation 4/5   iterations 1700/2000   F1 0.5095411043012651   accuracy 0.6317829457364341   precision 0.5096541984240456   recall 0.5251982774755755
deviation 4/5   iterations 1710/2000   F1 0.5153229356487119   accuracy 0.6395348837209303   precision 0.5137530318381383   recall 0.5261014001106276
deviation 4/5   iterations 1720/2000   F1 0.47095252862985165   accuracy 0.5439276485788114   precision 0.5037169635472268   recall 0.503098499312861
deviation 4/5   iterations 1730/2000   F1 0.5185669733387872   accuracy 0.6498708010335917   precision 0.5147468673530754   recall 0.5287799834706258
deviation 4/5   iterations 1740/2000   F1 0.518882817243473   accuracy 0.6498708010335917   precision 0.515617833961191   recall 0.5271864835924933
deviation 4/5   iterations 1750/2000   F1 0.5132698607866703   accuracy 0.6343669250645995   precision 0.5124543021964171   recall 0.5267879241616376
deviation 4/5   iterations 1760/2000   F1 0.4902751845780937   accuracy 0.5891472868217055   precision 0.5013403151701024   recall 0.5115865075642669
deviation 4/5   iterations 1770/2000   F1 0.5225555658442591   accuracy 0.6291989664082688   precision 0.5219187387517364   recall 0.5441060959220193
deviation 4/5   iterations 1780/2000   F1 0.5070379158784555   accuracy 0.6343669250645995   precision 0.5055314378178456   recall 0.5179379618040448
deviation 4/5   iterations 1790/2000   F1 0.5018775754847248   accuracy 0.6098191214470284   precision 0.5058574435094821   recall 0.5198769782349576
deviation 4/5   iterations 1800/2000   F1 0.5158098685826734   accuracy 0.6304909560723514   precision 0.5158264462809917   recall 0.5317617392620351
deviation 4/5   iterations 1810/2000   F1 0.5102546707100787   accuracy 0.6162790697674418   precision 0.5137732129641766   recall 0.5319204169908063
deviation 4/5   iterations 1820/2000   F1 0.520680261908332   accuracy 0.6408268733850129   precision 0.5204355418454635   recall 0.5387634811507992
deviation 4/5   iterations 1830/2000   F1 0.523700108630419   accuracy 0.661498708010336   precision 0.5201384056197655   recall 0.5315584628846193
deviation 4/5   iterations 1840/2000   F1 0.5021822674672047   accuracy 0.624031007751938   precision 0.503339189546086   recall 0.5175138647278715
deviation 4/5   iterations 1850/2000   F1 0.5054364653523743   accuracy 0.6201550387596899   precision 0.5069545988933867   recall 0.5216909298892026
deviation 4/5   iterations 1860/2000   F1 0.4850171718776856   accuracy 0.5775193798449613   precision 0.5043876019929482   recall 0.5117413321009677
deviation 4/5   iterations 1870/2000   F1 0.48457338748903017   accuracy 0.5788113695090439   precision 0.500243795081874   recall 0.5082969883040863
deviation 4/5   iterations 1880/2000   F1 0.5025376984037536   accuracy 0.624031007751938   precision 0.5090480020390995   recall 0.5118008516210338
deviation 4/5   iterations 1890/2000   F1 0.49238737514092196   accuracy 0.5943152454780362   precision 0.5030792063317425   recall 0.5115609699189494
deviation 4/5   iterations 1900/2000   F1 0.49455880946410585   accuracy 0.6214470284237726   precision 0.4962411201317439   recall 0.5082782962234045
deviation 4/5   iterations 1910/2000   F1 0.5042798430209202   accuracy 0.6382428940568475   precision 0.5024897860563194   recall 0.5138287784094007
deviation 4/5   iterations 1920/2000   F1 0.5143484515800262   accuracy 0.6447028423772609   precision 0.5124760200100968   recall 0.5268726124043762
deviation 4/5   iterations 1930/2000   F1 0.5125392307549979   accuracy 0.6421188630490956   precision 0.5109187729232847   recall 0.5246219793126218
deviation 4/5   iterations 1940/2000   F1 0.5076790838380804   accuracy 0.6227390180878553   precision 0.5080411238305974   recall 0.52646757633153
deviation 4/5   iterations 1950/2000   F1 0.5115832736331375   accuracy 0.6227390180878553   precision 0.514914233961853   recall 0.5268069851649646
deviation 4/5   iterations 1960/2000   F1 0.49813243954602865   accuracy 0.5981912144702842   precision 0.5053967878904948   recall 0.5196923939382239
deviation 4/5   iterations 1970/2000   F1 0.5022613521051319   accuracy 0.6136950904392765   precision 0.508602645409619   recall 0.5185653352576338
deviation 4/5   iterations 1980/2000   F1 0.49202128512545124   accuracy 0.5930232558139535   precision 0.5060390598189066   recall 0.5110716145260095
deviation 4/5   iterations 1990/2000   F1 0.4547231837466567   accuracy 0.5322997416020672   precision 0.49681598594642074   recall 0.4912842435023909
deviation 4/5   iterations 2000/2000   F1 0.5000566675418603   accuracy 0.5956072351421189   precision 0.50835935467083   recall 0.5254949732649957

deviation 5/5   iterations 10/2000   F1 0.36172352591114415   accuracy 0.48320413436692505   precision 0.4750925876729501   recall 0.4288537188099473
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deviation 5/5   iterations 20/2000   F1 0.38992812170518315   accuracy 0.41472868217054265   precision 0.49701888304776487   recall 0.484050613235518
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deviation 5/5   iterations 30/2000   F1 0.4840959181874284   accuracy 0.6266149870801033   precision 0.578477913833466   recall 0.5095747313894717
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deviation 5/5   iterations 40/2000   F1 0.48420498366263903   accuracy 0.6059431524547804   precision 0.4964659905833216   recall 0.4963179470454994
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deviation 5/5   iterations 50/2000   F1 0.5195168069010717   accuracy 0.6666666666666666   precision 0.5400800834586236   recall 0.5287353848219812
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deviation 5/5   iterations 60/2000   F1 0.5104748089050133   accuracy 0.6537467700258398   precision 0.5089980037203393   recall 0.5133627061345032
deviation 5/5   iterations 70/2000   F1 0.5206593927667439   accuracy 0.6563307493540051   precision 0.5310033208122381   recall 0.5345673549861413
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deviation 5/5   iterations 80/2000   F1 0.5379453421199035   accuracy 0.6640826873385013   precision 0.5330176523376652   recall 0.5486435985075522
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deviation 5/5   iterations 90/2000   F1 0.5404104572029779   accuracy 0.6795865633074936   precision 0.5457293904108729   recall 0.5463124992877743
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deviation 5/5   iterations 100/2000   F1 0.56199765467329   accuracy 0.661498708010336   precision 0.5567039166289861   recall 0.5871163686140618
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deviation 5/5   iterations 110/2000   F1 0.5490580012865823   accuracy 0.665374677002584   precision 0.5430196366301091   recall 0.5634422335593517
deviation 5/5   iterations 120/2000   F1 0.5566125193079006   accuracy 0.6795865633074936   precision 0.5594614308739104   recall 0.5600965560743155
deviation 5/5   iterations 130/2000   F1 0.5692333089647467   accuracy 0.6718346253229974   precision 0.5651989433923741   recall 0.5918636242190011
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deviation 5/5   iterations 140/2000   F1 0.5669083206587949   accuracy 0.6692506459948321   precision 0.5605756388677877   recall 0.5900703322328781
deviation 5/5   iterations 150/2000   F1 0.5731772576977484   accuracy 0.6782945736434108   precision 0.5688899589137736   recall 0.5917343373276177
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deviation 5/5   iterations 160/2000   F1 0.5215057891438258   accuracy 0.6537467700258398   precision 0.5525467630390132   recall 0.5388621474626444
deviation 5/5   iterations 170/2000   F1 0.5706137510099483   accuracy 0.6886304909560723   precision 0.5653745690045625   recall 0.5803072863288171
deviation 5/5   iterations 180/2000   F1 0.5658640642081968   accuracy 0.6886304909560723   precision 0.5612800338102204   recall 0.5733223509161046
deviation 5/5   iterations 190/2000   F1 0.5580124288731275   accuracy 0.6666666666666666   precision 0.558603750640041   recall 0.5778514092722066
deviation 5/5   iterations 200/2000   F1 0.5854417087670447   accuracy 0.6976744186046512   precision 0.5819672840949437   recall 0.5973310168270537
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deviation 5/5   iterations 210/2000   F1 0.5649697265369423   accuracy 0.6718346253229974   precision 0.5706466284944774   recall 0.5904058878742423
deviation 5/5   iterations 220/2000   F1 0.58738622825403   accuracy 0.7002583979328165   precision 0.5815228190296612   recall 0.5964625319292302
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deviation 5/5   iterations 230/2000   F1 0.5826604101569618   accuracy 0.686046511627907   precision 0.5733794950798942   recall 0.6010122499534543
deviation 5/5   iterations 240/2000   F1 0.5722689367043791   accuracy 0.6770025839793282   precision 0.5643119243760784   recall 0.5934315864518159
deviation 5/5   iterations 250/2000   F1 0.5739405818300631   accuracy 0.6912144702842378   precision 0.573914530931592   recall 0.5838977234931334
deviation 5/5   iterations 260/2000   F1 0.5703016317245216   accuracy 0.689922480620155   precision 0.5642547441587938   recall 0.5803393006161254
deviation 5/5   iterations 270/2000   F1 0.5723809575691304   accuracy 0.6989664082687338   precision 0.5745974812689304   recall 0.5766797519429722
deviation 5/5   iterations 280/2000   F1 0.5850126227673554   accuracy 0.7028423772609819   precision 0.5804008792603672   recall 0.5915245843082114
deviation 5/5   iterations 290/2000   F1 0.5301724137931034   accuracy 0.6188630490956072   precision 0.5493023866045109   recall 0.5699781901130535
deviation 5/5   iterations 300/2000   F1 0.5514040604656295   accuracy 0.6640826873385013   precision 0.5482040367740697   recall 0.570209340645872
deviation 5/5   iterations 310/2000   F1 0.578338767421046   accuracy 0.7002583979328165   precision 0.5747907575540276   recall 0.5848150291543169
deviation 5/5   iterations 320/2000   F1 0.5729499582702958   accuracy 0.6757105943152455   precision 0.5649635363471841   recall 0.5936032174645686
deviation 5/5   iterations 330/2000   F1 0.5655250996690038   accuracy 0.6679586563307494   precision 0.5674508306656093   recall 0.5953118212079528
deviation 5/5   iterations 340/2000   F1 0.5817025038678917   accuracy 0.6937984496124031   precision 0.5748540465010856   recall 0.5928617649308529
deviation 5/5   iterations 350/2000   F1 0.5807114889638175   accuracy 0.6950904392764858   precision 0.5736702127659575   recall 0.5918255022123472
deviation 5/5   iterations 360/2000   F1 0.5696164021164022   accuracy 0.6627906976744186   precision 0.573231155712414   recall 0.6083747162062553
deviation 5/5   iterations 370/2000   F1 0.5734486418217695   accuracy 0.6718346253229974   precision 0.5662898950298548   recall 0.6006457048099069
deviation 5/5   iterations 380/2000   F1 0.5669497329239831   accuracy 0.6808785529715762   precision 0.5602922671636883   recall 0.5817443630054537
deviation 5/5   iterations 390/2000   F1 0.5738977292208906   accuracy 0.6808785529715762   precision 0.5685703185703186   recall 0.5950532474251864
deviation 5/5   iterations 400/2000   F1 0.5658965909936078   accuracy 0.6679586563307494   precision 0.5585400028022979   recall 0.5896488586066252
deviation 5/5   iterations 410/2000   F1 0.5846627589888423   accuracy 0.6989664082687338   precision 0.5785481231301665   recall 0.5931756361189698
deviation 5/5   iterations 420/2000   F1 0.5702438801786341   accuracy 0.6679586563307494   precision 0.5630179007629988   recall 0.5985667027309048
deviation 5/5   iterations 430/2000   F1 0.5601004153665671   accuracy 0.6459948320413437   precision 0.5685131947175147   recall 0.6055538926708927
deviation 5/5   iterations 440/2000   F1 0.5649236751481092   accuracy 0.6602067183462532   precision 0.5584894294006443   recall 0.5963416072844678
deviation 5/5   iterations 450/2000   F1 0.5601388903576862   accuracy 0.6511627906976745   precision 0.5587574023888386   recall 0.5976787879071092
deviation 5/5   iterations 460/2000   F1 0.5613509712592956   accuracy 0.6563307493540051   precision 0.5562266151960312   recall 0.5923296964938985
deviation 5/5   iterations 470/2000   F1 0.5719374359569837   accuracy 0.6821705426356589   precision 0.5644181221599226   recall 0.58935441734448
deviation 5/5   iterations 480/2000   F1 0.560703650645301   accuracy 0.6692506459948321   precision 0.5589212143448665   recall 0.5826959374812208
deviation 5/5   iterations 490/2000   F1 0.5484185156408142   accuracy 0.6369509043927648   precision 0.5507323865218602   recall 0.586393608161028
deviation 5/5   iterations 500/2000   F1 0.5482390377937268   accuracy 0.6472868217054264   precision 0.5494184292233278   recall 0.5797648880578018
deviation 5/5   iterations 510/2000   F1 0.5505724615910746   accuracy 0.6472868217054264   precision 0.5504358092210451   recall 0.5814262697026212
deviation 5/5   iterations 520/2000   F1 0.5584072366415891   accuracy 0.648578811369509   precision 0.5591077536549786   recall 0.5962249047544209
deviation 5/5   iterations 530/2000   F1 0.5494158555913522   accuracy 0.6472868217054264   precision 0.5622738515661386   recall 0.5834270601808754
deviation 5/5   iterations 540/2000   F1 0.561828422259735   accuracy 0.6524547803617571   precision 0.5708821483977959   recall 0.6010335654840565
deviation 5/5   iterations 550/2000   F1 0.5514300903774588   accuracy 0.6330749354005168   precision 0.5607182266846132   recall 0.5976234905017587
deviation 5/5   iterations 560/2000   F1 0.5532273535793778   accuracy 0.6356589147286822   precision 0.5812098151751819   recall 0.6081309813121004
deviation 5/5   iterations 570/2000   F1 0.5239930439930439   accuracy 0.6085271317829457   precision 0.5539645664223206   recall 0.5742845421657677
deviation 5/5   iterations 580/2000   F1 0.5415738017862255   accuracy 0.6330749354005168   precision 0.5690644741853714   recall 0.5901133322167275
deviation 5/5   iterations 590/2000   F1 0.552764726454399   accuracy 0.6537467700258398   precision 0.5632103309646616   recall 0.5842302867619323
deviation 5/5   iterations 600/2000   F1 0.5788846317581949   accuracy 0.689922480620155   precision 0.5714461345320462   recall 0.5935803032691712
deviation 5/5   iterations 610/2000   F1 0.5440169095186864   accuracy 0.6395348837209303   precision 0.5468975468975469   recall 0.5736739751882305
deviation 5/5   iterations 620/2000   F1 0.5434754542060727   accuracy 0.6395348837209303   precision 0.5512480377134722   recall 0.5738097387216042
deviation 5/5   iterations 630/2000   F1 0.5445238803458453   accuracy 0.6421188630490956   precision 0.5502749410840534   recall 0.5733985949294124
deviation 5/5   iterations 640/2000   F1 0.5531468353760464   accuracy 0.648578811369509   precision 0.5553366400766543   recall 0.5828481385680013
deviation 5/5   iterations 650/2000   F1 0.5663515746713702   accuracy 0.6731266149870802   precision 0.5622652178333899   recall 0.5873009529107956
deviation 5/5   iterations 660/2000   F1 0.557084661387557   accuracy 0.6718346253229974   precision 0.5520585157432479   recall 0.5733669495647492
deviation 5/5   iterations 670/2000   F1 0.5447696417993447   accuracy 0.6563307493540051   precision 0.5495102520569414   recall 0.5652545865488016
deviation 5/5   iterations 680/2000   F1 0.5500777266255457   accuracy 0.665374677002584   precision 0.5457683806540666   recall 0.566307655743359
deviation 5/5   iterations 690/2000   F1 0.539372898839336   accuracy 0.6421188630490956   precision 0.5448378525163277   recall 0.5646165143385065
deviation 5/5   iterations 700/2000   F1 0.5400281330663862   accuracy 0.6459948320413437   precision 0.5465493000794669   recall 0.5632369895944959
deviation 5/5   iterations 710/2000   F1 0.5445216090993954   accuracy 0.6330749354005168   precision 0.5527186103786713   recall 0.5808560792590131
deviation 5/5   iterations 720/2000   F1 0.5712587145361167   accuracy 0.686046511627907   precision 0.568093953262259   recall 0.5863813927223368
deviation 5/5   iterations 730/2000   F1 0.552769779746524   accuracy 0.661498708010336   precision 0.5532507747093356   recall 0.5731464977886366
deviation 5/5   iterations 740/2000   F1 0.5221338033967801   accuracy 0.6020671834625323   precision 0.5457435189750358   recall 0.563495194454617
deviation 5/5   iterations 750/2000   F1 0.5443408200325138   accuracy 0.6304909560723514   precision 0.5719277690978086   recall 0.5912533441812987
deviation 5/5   iterations 760/2000   F1 0.5533551325453545   accuracy 0.6498708010335917   precision 0.5561387781359434   recall 0.5826765075552488
deviation 5/5   iterations 770/2000   F1 0.5539655421037218   accuracy 0.6576227390180879   precision 0.5551837514578525   recall 0.5772556811832809
deviation 5/5   iterations 780/2000   F1 0.5667587085811384   accuracy 0.6589147286821705   precision 0.565949785747044   recall 0.6007685150592994
deviation 5/5   iterations 790/2000   F1 0.561093410893525   accuracy 0.6537467700258398   precision 0.5646653330785346   recall 0.5972676441149173
deviation 5/5   iterations 800/2000   F1 0.5449716744150747   accuracy 0.6408268733850129   precision 0.5576046986906538   recall 0.5808266884216252
deviation 5/5   iterations 810/2000   F1 0.5343740775763673   accuracy 0.6253229974160207   precision 0.5493534002229654   recall 0.5725106801056169
deviation 5/5   iterations 820/2000   F1 0.5557222837858119   accuracy 0.6627906976744186   precision 0.5618927124666225   recall 0.5819605926668509
deviation 5/5   iterations 830/2000   F1 0.5505036530785765   accuracy 0.6434108527131783   precision 0.55174436795995   recall 0.5835346626190114
deviation 5/5   iterations 840/2000   F1 0.5484769116048265   accuracy 0.6511627906976745   precision 0.55522044605437   recall 0.5765882181355977
deviation 5/5   iterations 850/2000   F1 0.5482858969263066   accuracy 0.6395348837209303   precision 0.5652572640672336   recall 0.5871865049080239
deviation 5/5   iterations 860/2000   F1 0.5344004850554652   accuracy 0.6201550387596899   precision 0.5551777171714867   recall 0.5749943493348201
deviation 5/5   iterations 870/2000   F1 0.5460277863857644   accuracy 0.6550387596899225   precision 0.5469829983609146   recall 0.5662229675006204
deviation 5/5   iterations 880/2000   F1 0.5627851745200205   accuracy 0.6679586563307494   precision 0.5582056103820943   recall 0.5851899365444853
deviation 5/5   iterations 890/2000   F1 0.5558565719639545   accuracy 0.6576227390180879   precision 0.5567799011507972   recall 0.5816467214787338
deviation 5/5   iterations 900/2000   F1 0.5426574131918392   accuracy 0.6421188630490956   precision 0.5530401219376905   recall 0.5699400681063995
deviation 5/5   iterations 910/2000   F1 0.5261862696992673   accuracy 0.6020671834625323   precision 0.5427092861949319   recall 0.5702086028005819
deviation 5/5   iterations 920/2000   F1 0.533083988532744   accuracy 0.6356589147286822   precision 0.551303132098497   recall 0.562287669646004
deviation 5/5   iterations 930/2000   F1 0.5623867444311181   accuracy 0.6692506459948321   precision 0.5582743802639091   recall 0.5874085553489315
deviation 5/5   iterations 940/2000   F1 0.5533252408252408   accuracy 0.6576227390180879   precision 0.5522385423829439   recall 0.5770520358832201
deviation 5/5   iterations 950/2000   F1 0.537732737559348   accuracy 0.6447028423772609   precision 0.5471135715321762   recall 0.5607468437233017
deviation 5/5   iterations 960/2000   F1 0.5421518594194119   accuracy 0.6459948320413437   precision 0.5405907683009746   recall 0.5679496074622065
deviation 5/5   iterations 970/2000   F1 0.5533427285260424   accuracy 0.661498708010336   precision 0.5548401185819974   recall 0.5758761564392701
deviation 5/5   iterations 980/2000   F1 0.5400857371637116   accuracy 0.6459948320413437   precision 0.5481309590486841   recall 0.5631691078278088
deviation 5/5   iterations 990/2000   F1 0.5384334225848952   accuracy 0.6459948320413437   precision 0.5388723283571282   recall 0.5601679221104278
deviation 5/5   iterations 1000/2000   F1 0.5573212099077607   accuracy 0.6395348837209303   precision 0.5621786621786622   recall 0.600020216960948
deviation 5/5   iterations 1010/2000   F1 0.5204085937565835   accuracy 0.6098191214470284   precision 0.5568976328831149   recall 0.5671279757403027
deviation 5/5   iterations 1020/2000   F1 0.5128102172964751   accuracy 0.599483204134367   precision 0.5447555871010351   recall 0.5508689808938242
deviation 5/5   iterations 1030/2000   F1 0.5556943444693795   accuracy 0.665374677002584   precision 0.5561723507369851   recall 0.5770226450458321
deviation 5/5   iterations 1040/2000   F1 0.5561811157467655   accuracy 0.6524547803617571   precision 0.5541936564663837   recall 0.5865885222918229
deviation 5/5   iterations 1050/2000   F1 0.5635508349270085   accuracy 0.6640826873385013   precision 0.5591647672965223   recall 0.5902316334115695
deviation 5/5   iterations 1060/2000   F1 0.5553131663798148   accuracy 0.6705426356589147   precision 0.5544370654020471   recall 0.5728097124051224
deviation 5/5   iterations 1070/2000   F1 0.5178530979014347   accuracy 0.6085271317829457   precision 0.5502511108868943   recall 0.5566524992172691
deviation 5/5   iterations 1080/2000   F1 0.5557692689458024   accuracy 0.661498708010336   precision 0.5556341760709876   recall 0.5792668014955961
deviation 5/5   iterations 1090/2000   F1 0.5556856878420114   accuracy 0.6679586563307494   precision 0.5529276331294244   recall 0.5747464743087599
deviation 5/5   iterations 1100/2000   F1 0.5165245122131267   accuracy 0.6111111111111112   precision 0.5489430693052605   recall 0.5599035275481508
deviation 5/5   iterations 1110/2000   F1 0.5515066889402754   accuracy 0.6511627906976745   precision 0.5574506213215712   recall 0.5809113766643638
deviation 5/5   iterations 1120/2000   F1 0.5523292444250648   accuracy 0.6550387596899225   precision 0.5486718123329571   recall 0.5773274161420382
deviation 5/5   iterations 1130/2000   F1 0.5531635667694746   accuracy 0.6524547803617571   precision 0.5569115678399874   recall 0.5824690090631176
deviation 5/5   iterations 1140/2000   F1 0.56702928090465   accuracy 0.6847545219638242   precision 0.5602368720903   recall 0.5800933111946952
deviation 5/5   iterations 1150/2000   F1 0.522845490264905   accuracy 0.6098191214470284   precision 0.5395291816835693   recall 0.5597357497274685
deviation 5/5   iterations 1160/2000   F1 0.548636765011034   accuracy 0.6498708010335917   precision 0.547323747780946   recall 0.5739623087310299
deviation 5/5   iterations 1170/2000   F1 0.5586229180332891   accuracy 0.6666666666666666   precision 0.5593779673383324   recall 0.5804453043894662
deviation 5/5   iterations 1180/2000   F1 0.5325610544647835   accuracy 0.6576227390180879   precision 0.5287070939174846   recall 0.5460432267483019
deviation 5/5   iterations 1190/2000   F1 0.5224528905011089   accuracy 0.6124031007751938   precision 0.5411725348021134   recall 0.5612575146468438
deviation 5/5   iterations 1200/2000   F1 0.5573175437258077   accuracy 0.6731266149870802   precision 0.5510431618819777   recall 0.5720591597794957
deviation 5/5   iterations 1210/2000   F1 0.5573087094432831   accuracy 0.6524547803617571   precision 0.559061327819529   recall 0.5903864579482704
deviation 5/5   iterations 1220/2000   F1 0.5715450978607796   accuracy 0.6640826873385013   precision 0.5660670948618224   recall 0.6043372677703684
deviation 5/5   iterations 1230/2000   F1 0.5234109563038609   accuracy 0.6124031007751938   precision 0.5609394385218519   recall 0.5738375308941972
deviation 5/5   iterations 1240/2000   F1 0.5612449374935502   accuracy 0.6705426356589147   precision 0.5545646246308579   recall 0.5811166206292198
deviation 5/5   iterations 1250/2000   F1 0.56182261957021   accuracy 0.7015503875968992   precision 0.5598690379984242   recall 0.5652820917815594
deviation 5/5   iterations 1260/2000   F1 0.5396264401999169   accuracy 0.6266149870801033   precision 0.5520346225804472   recall 0.5783914710331367
deviation 5/5   iterations 1270/2000   F1 0.525955057331244   accuracy 0.6124031007751938   precision 0.5429565765700219   recall 0.5610538693467831
deviation 5/5   iterations 1280/2000   F1 0.5526613187983683   accuracy 0.6666666666666666   precision 0.5511960802124465   recall 0.5707307103261202
deviation 5/5   iterations 1290/2000   F1 0.5597288671712646   accuracy 0.6705426356589147   precision 0.5538960523480647   recall 0.5793194754510264
deviation 5/5   iterations 1300/2000   F1 0.5596301334995489   accuracy 0.6731266149870802   precision 0.5554650843565937   recall 0.5765859636083225
deviation 5/5   iterations 1310/2000   F1 0.5555798145362713   accuracy 0.6640826873385013   precision 0.5538884703693462   recall 0.5771942760585845
deviation 5/5   iterations 1320/2000   F1 0.5560285708706666   accuracy 0.6602067183462532   precision 0.554996957581043   recall 0.5803709459807886
deviation 5/5   iterations 1330/2000   F1 0.5575932745887489   accuracy 0.6576227390180879   precision 0.5530074759806415   recall 0.5841048530626196
deviation 5/5   iterations 1340/2000   F1 0.5573671312839709   accuracy 0.661498708010336   precision 0.5584620750497528   recall 0.5829289736186696
deviation 5/5   iterations 1350/2000   F1 0.5561023736435807   accuracy 0.6666666666666666   precision 0.5506949429688123   recall 0.5764437234329581
deviation 5/5   iterations 1360/2000   F1 0.5232862196655778   accuracy 0.6111111111111112   precision 0.5401568782549221   recall 0.5613612638929095
deviation 5/5   iterations 1370/2000   F1 0.5641731835906169   accuracy 0.6640826873385013   precision 0.5612069129598964   recall 0.5921645421231366
deviation 5/5   iterations 1380/2000   F1 0.5700166797291052   accuracy 0.6705426356589147   precision 0.5631115432775949   recall 0.5943576232822654
deviation 5/5   iterations 1390/2000   F1 0.5563820543793841   accuracy 0.6795865633074936   precision 0.5530417242089992   recall 0.5678103596594073
deviation 5/5   iterations 1400/2000   F1 0.5288043492217575   accuracy 0.6343669250645995   precision 0.5343936728413922   recall 0.5534735747677898
deviation 5/5   iterations 1410/2000   F1 0.5539281345718637   accuracy 0.6627906976744186   precision 0.5530318549275896   recall 0.5747041301873906
deviation 5/5   iterations 1420/2000   F1 0.575277180876285   accuracy 0.6847545219638242   precision 0.5675299200097698   recall 0.5940631820201204
deviation 5/5   iterations 1430/2000   F1 0.5484640561677151   accuracy 0.6447028423772609   precision 0.5468177540525204   recall 0.578971991310806
deviation 5/5   iterations 1440/2000   F1 0.5585812151766462   accuracy 0.6705426356589147   precision 0.5526151128123965   recall 0.5767255803337668
deviation 5/5   iterations 1450/2000   F1 0.5422962209395625   accuracy 0.6447028423772609   precision 0.5451174264219474   recall 0.5704614377866478
deviation 5/5   iterations 1460/2000   F1 0.551795442233837   accuracy 0.6524547803617571   precision 0.5490494169440207   recall 0.5775349146341694
deviation 5/5   iterations 1470/2000   F1 0.5725447319276628   accuracy 0.686046511627907   precision 0.566098894335104   recall 0.5853809974832097
deviation 5/5   iterations 1480/2000   F1 0.567160485619416   accuracy 0.6731266149870802   precision 0.5600374391801523   recall 0.5880298210831749
deviation 5/5   iterations 1490/2000   F1 0.5574834526928354   accuracy 0.6770025839793282   precision 0.5511935850281714   recall 0.569747121563045
deviation 5/5   iterations 1500/2000   F1 0.5570720958433344   accuracy 0.6602067183462532   precision 0.5516722597454087   recall 0.5803030642141017
deviation 5/5   iterations 1510/2000   F1 0.5311170882580901   accuracy 0.6201550387596899   precision 0.5441465750744101   recall 0.5652118735047873
deviation 5/5   iterations 1520/2000   F1 0.5387966605650848   accuracy 0.6511627906976745   precision 0.5427287331701346   recall 0.5580915434813459
deviation 5/5   iterations 1530/2000   F1 0.5458915092178253   accuracy 0.6498708010335917   precision 0.5431525843155263   recall 0.5694355049022031
deviation 5/5   iterations 1540/2000   F1 0.546996223612712   accuracy 0.6602067183462532   precision 0.5428698690436887   recall 0.5644002846771095
deviation 5/5   iterations 1550/2000   F1 0.5374034537629105   accuracy 0.6382428940568475   precision 0.5448309857932603   recall 0.5679968295607715
deviation 5/5   iterations 1560/2000   F1 0.5352720445366338   accuracy 0.6266149870801033   precision 0.5389779596048946   recall 0.5685411134364169
deviation 5/5   iterations 1570/2000   F1 0.5587931592766721   accuracy 0.6705426356589147   precision 0.5566350067842605   recall 0.5772007527005752
deviation 5/5   iterations 1580/2000   F1 0.5675011832575501   accuracy 0.6731266149870802   precision 0.5605857337270163   recall 0.5869615440773609
deviation 5/5   iterations 1590/2000   F1 0.5663082656662718   accuracy 0.6770025839793282   precision 0.5597533081575635   recall 0.5848531511609708
deviation 5/5   iterations 1600/2000   F1 0.5651567536084563   accuracy 0.6834625322997416   precision 0.5585276332856745   recall 0.5776031653235013
deviation 5/5   iterations 1610/2000   F1 0.567150759314949   accuracy 0.6718346253229974   precision 0.5602027390512486   recall 0.5890660838016806
deviation 5/5   iterations 1620/2000   F1 0.5617797870869246   accuracy 0.665374677002584   precision 0.5584391012212095   recall 0.5848722121642979
deviation 5/5   iterations 1630/2000   F1 0.5537957810185213   accuracy 0.6602067183462532   precision 0.5539115577186643   recall 0.5769803009244627
deviation 5/5   iterations 1640/2000   F1 0.5005676795439634   accuracy 0.5788113695090439   precision 0.5292426344454976   recall 0.5433073783955128
deviation 5/5   iterations 1650/2000   F1 0.5452890052405598   accuracy 0.6382428940568475   precision 0.5528167825688087   recall 0.5838317273310767
deviation 5/5   iterations 1660/2000   F1 0.5548287941295504   accuracy 0.6782945736434108   precision 0.5509282168824664   recall 0.5645234638491471
deviation 5/5   iterations 1670/2000   F1 0.5258423276941236   accuracy 0.6291989664082688   precision 0.5334220234869336   recall 0.5480397951118405
deviation 5/5   iterations 1680/2000   F1 0.5538997151466949   accuracy 0.6666666666666666   precision 0.5492765473631748   recall 0.5697303150869932
deviation 5/5   iterations 1690/2000   F1 0.5621609712423604   accuracy 0.6770025839793282   precision 0.5553738764582138   recall 0.5776645704481975
deviation 5/5   iterations 1700/2000   F1 0.5565412943341158   accuracy 0.6873385012919897   precision 0.5521034391861588   recall 0.5630505196931318
deviation 5/5   iterations 1710/2000   F1 0.5389810203086058   accuracy 0.6498708010335917   precision 0.5436503606716373   recall 0.5591278061998516
deviation 5/5   iterations 1720/2000   F1 0.5294992435307636   accuracy 0.6136950904392765   precision 0.5376720283941546   recall 0.5686639236858094
deviation 5/5   iterations 1730/2000   F1 0.5536624790870055   accuracy 0.6834625322997416   precision 0.553133087772856   recall 0.5603105312084372
deviation 5/5   iterations 1740/2000   F1 0.5760268934507621   accuracy 0.6821705426356589   precision 0.5690195694442501   recall 0.5960678256904449
deviation 5/5   iterations 1750/2000   F1 0.5494930933108658   accuracy 0.6550387596899225   precision 0.5547207962573492   recall 0.5751408116249
deviation 5/5   iterations 1760/2000   F1 0.557156587123375   accuracy 0.6602067183462532   precision 0.5518372492673888   recall 0.5802351824474148
deviation 5/5   iterations 1770/2000   F1 0.5295219722981607   accuracy 0.6317829457364341   precision 0.5281847897505755   recall 0.5526806780207939
deviation 5/5   iterations 1780/2000   F1 0.5549655481864243   accuracy 0.6679586563307494   precision 0.5521081407139513   recall 0.5740854879030675
deviation 5/5   iterations 1790/2000   F1 0.5332579515611321   accuracy 0.6369509043927648   precision 0.5375804470646033   recall 0.5565888395652977
deviation 5/5   iterations 1800/2000   F1 0.5297333479827072   accuracy 0.624031007751938   precision 0.5332855199006251   recall 0.5611705718768301
deviation 5/5   iterations 1810/2000   F1 0.5577353594014179   accuracy 0.6744186046511628   precision 0.5525451142710681   recall 0.5694972789495444
deviation 5/5   iterations 1820/2000   F1 0.552566862402928   accuracy 0.6757105943152455   precision 0.5477391563863969   recall 0.5620013036906447
deviation 5/5   iterations 1830/2000   F1 0.5495583824388172   accuracy 0.6602067183462532   precision 0.5445702371105597   recall 0.5679266932668092
deviation 5/5   iterations 1840/2000   F1 0.5199498566986919   accuracy 0.6304909560723514   precision 0.5241234855661648   recall 0.5372210565633019
deviation 5/5   iterations 1850/2000   F1 0.549880123370408   accuracy 0.6472868217054264   precision 0.5447261955218972   recall 0.5767637023404206
deviation 5/5   iterations 1860/2000   F1 0.5671645640218713   accuracy 0.6847545219638242   precision 0.5604859150007379   recall 0.578364047783189
deviation 5/5   iterations 1870/2000   F1 0.551787596379754   accuracy 0.6589147286821705   precision 0.5459428139008508   recall 0.5725572463417016
deviation 5/5   iterations 1880/2000   F1 0.5469343946947429   accuracy 0.6524547803617571   precision 0.5404991948470209   recall 0.5664304659927516
deviation 5/5   iterations 1890/2000   F1 0.5445864004742401   accuracy 0.6524547803617571   precision 0.5440065238009383   recall 0.5666341112928124
deviation 5/5   iterations 1900/2000   F1 0.5519044818290769   accuracy 0.6602067183462532   precision 0.5456234963371448   recall 0.5705884701507556
deviation 5/5   iterations 1910/2000   F1 0.5395725678520175   accuracy 0.6550387596899225   precision 0.5425790254630244   recall 0.5575766504430884
deviation 5/5   iterations 1920/2000   F1 0.5460637590696648   accuracy 0.6589147286821705   precision 0.5415617877906111   recall 0.5625711252116079
deviation 5/5   iterations 1930/2000   F1 0.5645213768192126   accuracy 0.6925064599483204   precision 0.5609330127562947   recall 0.5694168128215212
deviation 5/5   iterations 1940/2000   F1 0.554713674441644   accuracy 0.6524547803617571   precision 0.5475977236682527   recall 0.5786710734066701
deviation 5/5   iterations 1950/2000   F1 0.561780169611133   accuracy 0.6692506459948321   precision 0.5577490042664172   recall 0.5826280557145339
deviation 5/5   iterations 1960/2000   F1 0.5618565287152728   accuracy 0.6692506459948321   precision 0.5547895560497488   recall 0.5807630287696536
deviation 5/5   iterations 1970/2000   F1 0.5343468008672395   accuracy 0.6369509043927648   precision 0.5370198134898887   recall 0.5591827346825572
deviation 5/5   iterations 1980/2000   F1 0.5508466931975332   accuracy 0.6770025839793282   precision 0.5547119547119547   recall 0.5613723315722606
deviation 5/5   iterations 1990/2000   F1 0.48419669303127955   accuracy 0.5645994832041343   precision 0.5187538646646691   recall 0.5153905509400599
deviation 5/5   iterations 2000/2000   F1 0.5574501331464186   accuracy 0.6640826873385013   precision 0.5658898837423668   recall 0.5845186203047318

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