deviation 1/5   iterations 10/2000   F1 0.16153614794119167   accuracy 0.19845360824742267   precision 0.34280557711461174   recall 0.34458404637400747
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deviation 1/5   iterations 20/2000   F1 0.4249649270600553   accuracy 0.5347938144329897   precision 0.42865246965149506   recall 0.43371329596409813
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deviation 1/5   iterations 30/2000   F1 0.4292482079519806   accuracy 0.5567010309278351   precision 0.4319040155247052   recall 0.4455883089423545
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deviation 1/5   iterations 40/2000   F1 0.39908469386150497   accuracy 0.5876288659793815   precision 0.45595703121293923   recall 0.40967907164038236
deviation 1/5   iterations 50/2000   F1 0.43920891446751115   accuracy 0.6018041237113402   precision 0.46277521992517023   recall 0.4368541357987745
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deviation 1/5   iterations 60/2000   F1 0.41984715061638145   accuracy 0.5618556701030928   precision 0.45317390384886513   recall 0.42265647298425796
deviation 1/5   iterations 70/2000   F1 0.4275933542220008   accuracy 0.6262886597938144   precision 0.46377735325103747   recall 0.42367380542020844
deviation 1/5   iterations 80/2000   F1 0.4233558455393151   accuracy 0.5670103092783505   precision 0.49360636978702804   recall 0.43895292852573925
deviation 1/5   iterations 90/2000   F1 0.44556129948883133   accuracy 0.6018041237113402   precision 0.4729558866314876   recall 0.44295845614326534
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deviation 1/5   iterations 100/2000   F1 0.4668402996719962   accuracy 0.6134020618556701   precision 0.4779147873320723   recall 0.4655001911620822
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deviation 1/5   iterations 110/2000   F1 0.431121637093341   accuracy 0.5889175257731959   precision 0.5095180334766544   recall 0.4534710677511806
deviation 1/5   iterations 120/2000   F1 0.45791527250042535   accuracy 0.5786082474226805   precision 0.49603533273472494   recall 0.46750643619726295
deviation 1/5   iterations 130/2000   F1 0.485022640195054   accuracy 0.6430412371134021   precision 0.5001027015136216   recall 0.48140613860329945
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deviation 1/5   iterations 140/2000   F1 0.4608624919016236   accuracy 0.6005154639175257   precision 0.5046757260465875   recall 0.47601280276999763
deviation 1/5   iterations 150/2000   F1 0.49319661569409307   accuracy 0.6533505154639175   precision 0.4996448059949204   recall 0.4901888453362356
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deviation 1/5   iterations 160/2000   F1 0.4660452045962063   accuracy 0.5966494845360825   precision 0.5011567540360472   recall 0.47813968960489506
deviation 1/5   iterations 170/2000   F1 0.4969427774331708   accuracy 0.6391752577319587   precision 0.5044456750811451   recall 0.4975518631483071
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deviation 1/5   iterations 180/2000   F1 0.48524192724404425   accuracy 0.6172680412371134   precision 0.5014817186434963   recall 0.48864941036982024
deviation 1/5   iterations 190/2000   F1 0.5030221055283711   accuracy 0.6391752577319587   precision 0.5113351877409453   recall 0.5063252051785991
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deviation 1/5   iterations 200/2000   F1 0.5106581025086968   accuracy 0.6494845360824743   precision 0.5172160321328768   recall 0.5145267303222151
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deviation 1/5   iterations 210/2000   F1 0.5079825240881771   accuracy 0.6237113402061856   precision 0.51993822927966   recall 0.5190084327111507
deviation 1/5   iterations 220/2000   F1 0.5030825209084854   accuracy 0.6585051546391752   precision 0.5182942784167355   recall 0.5029574545272434
deviation 1/5   iterations 230/2000   F1 0.5283855111389332   accuracy 0.6623711340206185   precision 0.525714064751551   recall 0.5350910065874576
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deviation 1/5   iterations 240/2000   F1 0.5115031789099743   accuracy 0.6443298969072165   precision 0.5144174711520156   recall 0.5177722512460144
deviation 1/5   iterations 250/2000   F1 0.5156290342618551   accuracy 0.6507731958762887   precision 0.5212853662804579   recall 0.5204637889342602
deviation 1/5   iterations 260/2000   F1 0.5152393383402109   accuracy 0.645618556701031   precision 0.5206730071108302   recall 0.5219916605287148
deviation 1/5   iterations 270/2000   F1 0.5210338568867399   accuracy 0.6494845360824743   precision 0.5214479824027506   recall 0.5298930265945341
deviation 1/5   iterations 280/2000   F1 0.511659324673371   accuracy 0.645618556701031   precision 0.520274579690545   recall 0.517790084897137
deviation 1/5   iterations 290/2000   F1 0.5031378570857131   accuracy 0.6314432989690721   precision 0.5151119808654055   recall 0.5111342649990981
deviation 1/5   iterations 300/2000   F1 0.5281231305805211   accuracy 0.6662371134020618   precision 0.528678998380908   recall 0.5328715720607761
deviation 1/5   iterations 310/2000   F1 0.510602148855161   accuracy 0.6391752577319587   precision 0.5181037149638638   recall 0.5176750212029083
deviation 1/5   iterations 320/2000   F1 0.49625949498072264   accuracy 0.6301546391752577   precision 0.5229360555658583   recall 0.5028058277766038
deviation 1/5   iterations 330/2000   F1 0.5227288713853894   accuracy 0.6585051546391752   precision 0.5219759014439732   recall 0.5310210253860802
deviation 1/5   iterations 340/2000   F1 0.5139626100974594   accuracy 0.6494845360824743   precision 0.5278701026069448   recall 0.5199573213856014
deviation 1/5   iterations 350/2000   F1 0.516529476225664   accuracy 0.6365979381443299   precision 0.5230099207487598   recall 0.5285005360274361
deviation 1/5   iterations 360/2000   F1 0.5167069821681259   accuracy 0.6520618556701031   precision 0.520012558442148   recall 0.5226879058122638
deviation 1/5   iterations 370/2000   F1 0.5115349351277637   accuracy 0.6533505154639175   precision 0.5168303571428571   recall 0.5146986744059827
deviation 1/5   iterations 380/2000   F1 0.5159289591880762   accuracy 0.6404639175257731   precision 0.5190694255992764   recall 0.5276285600629634
deviation 1/5   iterations 390/2000   F1 0.5263988127102551   accuracy 0.6726804123711341   precision 0.5281893135638328   recall 0.5285074170480747
deviation 1/5   iterations 400/2000   F1 0.5184470184470183   accuracy 0.6417525773195877   precision 0.523432581800658   recall 0.5285052183787582
deviation 1/5   iterations 410/2000   F1 0.5040714708678644   accuracy 0.6146907216494846   precision 0.5153552424802185   recall 0.5193204401735971
deviation 1/5   iterations 420/2000   F1 0.5184276812939149   accuracy 0.6533505154639175   precision 0.5281037141186131   recall 0.5254673088409715
deviation 1/5   iterations 430/2000   F1 0.5228830047597103   accuracy 0.6662371134020618   precision 0.5217930333824307   recall 0.5282998056620621
deviation 1/5   iterations 440/2000   F1 0.4971472436136746   accuracy 0.5914948453608248   precision 0.5249360700229229   recall 0.5186848618767433
deviation 1/5   iterations 450/2000   F1 0.5162656481894123   accuracy 0.6610824742268041   precision 0.524288929129154   recall 0.5190331473829116
deviation 1/5   iterations 460/2000   F1 0.5108960070085518   accuracy 0.6378865979381443   precision 0.5131162051543171   recall 0.5226250401562521
deviation 1/5   iterations 470/2000   F1 0.4951636598469866   accuracy 0.6108247422680413   precision 0.5179093552801949   recall 0.5072174984762
deviation 1/5   iterations 480/2000   F1 0.5102026800129537   accuracy 0.6353092783505154   precision 0.5178216482221233   recall 0.5180842587084609
deviation 1/5   iterations 490/2000   F1 0.5139089684178765   accuracy 0.6314432989690721   precision 0.5223116982161152   recall 0.5256417366067447
deviation 1/5   iterations 500/2000   F1 0.5164731344827077   accuracy 0.6507731958762887   precision 0.5227064717056807   recall 0.5230402629282773
deviation 1/5   iterations 510/2000   F1 0.5076968047720444   accuracy 0.6301546391752577   precision 0.5191947394340101   recall 0.5182646717407069
deviation 1/5   iterations 520/2000   F1 0.5087374594702877   accuracy 0.6172680412371134   precision 0.5246265063016982   recall 0.5271780771496778
deviation 1/5   iterations 530/2000   F1 0.5100535656066323   accuracy 0.6443298969072165   precision 0.5158365896099378   recall 0.5150106818684291
deviation 1/5   iterations 540/2000   F1 0.49453215860171457   accuracy 0.6056701030927835   precision 0.5168602319415615   recall 0.5106481147835674
deviation 1/5   iterations 550/2000   F1 0.5089553522121791   accuracy 0.6262886597938144   precision 0.5189611602655081   recall 0.5203915585756044
deviation 1/5   iterations 560/2000   F1 0.514655090044336   accuracy 0.6494845360824743   precision 0.5244968697193828   recall 0.518820853645577
deviation 1/5   iterations 570/2000   F1 0.46929943131598595   accuracy 0.5567010309278351   precision 0.5022383545069571   recall 0.48771147432585343
deviation 1/5   iterations 580/2000   F1 0.48831111013073697   accuracy 0.6185567010309279   precision 0.5085715061943056   recall 0.49105862263139183
deviation 1/5   iterations 590/2000   F1 0.48394700857811057   accuracy 0.6069587628865979   precision 0.49782983011576887   recall 0.48989495653760073
deviation 1/5   iterations 600/2000   F1 0.49412135029264803   accuracy 0.6030927835051546   precision 0.5205149716652337   recall 0.5110751859402426
deviation 1/5   iterations 610/2000   F1 0.49668080029998835   accuracy 0.6082474226804123   precision 0.5099321355336394   recall 0.5117535975726691
deviation 1/5   iterations 620/2000   F1 0.48622401994237396   accuracy 0.5914948453608248   precision 0.5070313009854467   recall 0.5047585718584171
deviation 1/5   iterations 630/2000   F1 0.4997320144172117   accuracy 0.6301546391752577   precision 0.5054716500326277   recall 0.5065446649492616
deviation 1/5   iterations 640/2000   F1 0.4916660112703914   accuracy 0.6108247422680413   precision 0.5088559010678049   recall 0.5036896521257264
deviation 1/5   iterations 650/2000   F1 0.4761274839670875   accuracy 0.5695876288659794   precision 0.5112609563502711   recall 0.5002427900950761
deviation 1/5   iterations 660/2000   F1 0.48664062316562706   accuracy 0.6069587628865979   precision 0.5101969433233323   recall 0.4955106429845551
deviation 1/5   iterations 670/2000   F1 0.4893401930404327   accuracy 0.5914948453608248   precision 0.5086936260329384   recall 0.5052472057559534
deviation 1/5   iterations 680/2000   F1 0.4998055144386677   accuracy 0.6237113402061856   precision 0.5142545659649875   recall 0.5087025367350819
deviation 1/5   iterations 690/2000   F1 0.5028239206086381   accuracy 0.6224226804123711   precision 0.5132030689970614   recall 0.5149741188120183
deviation 1/5   iterations 700/2000   F1 0.4993254779885215   accuracy 0.6185567010309279   precision 0.5151606867708562   recall 0.511274328377777
deviation 1/5   iterations 710/2000   F1 0.49837377684804923   accuracy 0.6185567010309279   precision 0.5127411797921305   recall 0.5094641313566481
deviation 1/5   iterations 720/2000   F1 0.4955034923376365   accuracy 0.6108247422680413   precision 0.5119475756699537   recall 0.507032403092632
deviation 1/5   iterations 730/2000   F1 0.4901349623038465   accuracy 0.6018041237113402   precision 0.5144136721529143   recall 0.504186754971741
deviation 1/5   iterations 740/2000   F1 0.4922524891201252   accuracy 0.6121134020618557   precision 0.5079623845106918   recall 0.5006682733239116
deviation 1/5   iterations 750/2000   F1 0.48306546662380795   accuracy 0.5824742268041238   precision 0.5087827394398223   recall 0.5016352806621741
deviation 1/5   iterations 760/2000   F1 0.48867132890675485   accuracy 0.5966494845360825   precision 0.5143822163173907   recall 0.5031381525721784
deviation 1/5   iterations 770/2000   F1 0.48578088578088585   accuracy 0.6018041237113402   precision 0.5032368938202337   recall 0.49608714222255346
deviation 1/5   iterations 780/2000   F1 0.4867474324217855   accuracy 0.6018041237113402   precision 0.5191395606983081   recall 0.5008440040048354
deviation 1/5   iterations 790/2000   F1 0.48606189087403706   accuracy 0.5940721649484536   precision 0.5099708195885889   recall 0.499944829686596
deviation 1/5   iterations 800/2000   F1 0.48369366745529235   accuracy 0.586340206185567   precision 0.510846715056361   recall 0.4993232984437086
deviation 1/5   iterations 810/2000   F1 0.4828054298642534   accuracy 0.6005154639175257   precision 0.5012759796661688   recall 0.49100890827518057
deviation 1/5   iterations 820/2000   F1 0.4789375406859218   accuracy 0.5811855670103093   precision 0.5029935510380331   recall 0.4929366526725436
deviation 1/5   iterations 830/2000   F1 0.48308587395529184   accuracy 0.5798969072164949   precision 0.5099697384239108   recall 0.5029211764835216
deviation 1/5   iterations 840/2000   F1 0.48170414511618126   accuracy 0.5786082474226805   precision 0.5117828203532243   recall 0.5023221612430787
deviation 1/5   iterations 850/2000   F1 0.49451580511460175   accuracy 0.6030927835051546   precision 0.5145527073275765   recall 0.5081285211790894
deviation 1/5   iterations 860/2000   F1 0.5123346473789964   accuracy 0.6443298969072165   precision 0.5215195579225028   recall 0.5177722512460144
deviation 1/5   iterations 870/2000   F1 0.4791026013926413   accuracy 0.5850515463917526   precision 0.5005702740574184   recall 0.4913909474269665
deviation 1/5   iterations 880/2000   F1 0.48914098503644493   accuracy 0.6030927835051546   precision 0.5169172836393443   recall 0.5023018439099506
deviation 1/5   iterations 890/2000   F1 0.4765197957488714   accuracy 0.5747422680412371   precision 0.5016720779220779   recall 0.48920119493605735
deviation 1/5   iterations 900/2000   F1 0.4878434993885534   accuracy 0.5979381443298969   precision 0.5107836809546327   recall 0.49839912444101886
deviation 1/5   iterations 910/2000   F1 0.491974311621554   accuracy 0.6069587628865979   precision 0.5190702772163046   recall 0.5016149633290459
deviation 1/5   iterations 920/2000   F1 0.47847900546379335   accuracy 0.5708762886597938   precision 0.5266473996061913   recall 0.5036959224048881
deviation 1/5   iterations 930/2000   F1 0.4833735171164655   accuracy 0.5773195876288659   precision 0.5196408153937019   recall 0.5069686416824544
deviation 1/5   iterations 940/2000   F1 0.4947261739023752   accuracy 0.6095360824742269   precision 0.512296478888755   recall 0.5053894678039487
deviation 1/5   iterations 950/2000   F1 0.4941771419125751   accuracy 0.6069587628865979   precision 0.5107447687653118   recall 0.5047726189123835
deviation 1/5   iterations 960/2000   F1 0.4780937071440933   accuracy 0.5708762886597938   precision 0.5215993349348689   recall 0.5000755283626307
deviation 1/5   iterations 970/2000   F1 0.4579958860834512   accuracy 0.5335051546391752   precision 0.5063819445068266   recall 0.48164530496561325
deviation 1/5   iterations 980/2000   F1 0.48112491919195927   accuracy 0.5850515463917526   precision 0.5120401279440362   recall 0.49700663387392097
deviation 1/5   iterations 990/2000   F1 0.4857529288871749   accuracy 0.5966494845360825   precision 0.5055842372409957   recall 0.4967561891523356
deviation 1/5   iterations 1000/2000   F1 0.5014935993593851   accuracy 0.6198453608247423   precision 0.5168605572452858   recall 0.5154937376604773
deviation 1/5   iterations 1010/2000   F1 0.46111905719557084   accuracy 0.5438144329896907   precision 0.5211201126167556   recall 0.4955550642479675
deviation 1/5   iterations 1020/2000   F1 0.4513282629475664   accuracy 0.5219072164948454   precision 0.5323735074873013   recall 0.496284778164445
deviation 1/5   iterations 1030/2000   F1 0.48937283342729726   accuracy 0.5876288659793815   precision 0.516416238880452   recall 0.507836831049771
deviation 1/5   iterations 1040/2000   F1 0.5034937961279479   accuracy 0.6275773195876289   precision 0.5201701142989097   recall 0.5116360501964349
deviation 1/5   iterations 1050/2000   F1 0.4915520119065362   accuracy 0.586340206185567   precision 0.5193333548068458   recall 0.5105805667762336
deviation 1/5   iterations 1060/2000   F1 0.47981127060074424   accuracy 0.5644329896907216   precision 0.5251764495845482   recall 0.5062498803964608
deviation 1/5   iterations 1070/2000   F1 0.47921513348348066   accuracy 0.5579896907216495   precision 0.526862743551106   recall 0.508037561415145
deviation 1/5   iterations 1080/2000   F1 0.4826462743619005   accuracy 0.5631443298969072   precision 0.5200957251507999   recall 0.5124289147816131
deviation 1/5   iterations 1090/2000   F1 0.4806187199086684   accuracy 0.5605670103092784   precision 0.5187678190184456   recall 0.5065665702102294
deviation 1/5   iterations 1100/2000   F1 0.4760920013937782   accuracy 0.5605670103092784   precision 0.5162964863008264   recall 0.5005547975575227
deviation 1/5   iterations 1110/2000   F1 0.45953617263962093   accuracy 0.538659793814433   precision 0.5258858743952111   recall 0.49545783420486145
deviation 1/5   iterations 1120/2000   F1 0.4881480432427903   accuracy 0.5914948453608248   precision 0.5232562086369067   recall 0.5021820978643999
deviation 1/5   iterations 1130/2000   F1 0.4956058929815958   accuracy 0.5992268041237113   precision 0.5148539150111476   recall 0.5102554080139868
deviation 1/5   iterations 1140/2000   F1 0.47787694257703645   accuracy 0.5734536082474226   precision 0.5125223375511918   recall 0.4942178661425691
deviation 1/5   iterations 1150/2000   F1 0.47384766257449656   accuracy 0.5515463917525774   precision 0.5299573086783236   recall 0.5101028855091813
deviation 1/5   iterations 1160/2000   F1 0.45661640445429796   accuracy 0.5270618556701031   precision 0.5178957422929055   recall 0.4943867158028543
deviation 1/5   iterations 1170/2000   F1 0.47914997757061456   accuracy 0.5670103092783505   precision 0.5166056395985464   recall 0.5013435905328557
deviation 1/5   iterations 1180/2000   F1 0.4765149861325188   accuracy 0.5631443298969072   precision 0.516076726303999   recall 0.49478968302924514
deviation 1/5   iterations 1190/2000   F1 0.4797744561910231   accuracy 0.5644329896907216   precision 0.5247647513693796   recall 0.5017706616895308
deviation 1/5   iterations 1200/2000   F1 0.4819731404958678   accuracy 0.5721649484536082   precision 0.5205021382167373   recall 0.5050612146182194
deviation 1/5   iterations 1210/2000   F1 0.47830458208305   accuracy 0.5579896907216495   precision 0.5310667001843473   recall 0.5099403061280579
deviation 1/5   iterations 1220/2000   F1 0.4818005419691546   accuracy 0.5798969072164949   precision 0.5061852194351327   recall 0.49920823474948
deviation 1/5   iterations 1230/2000   F1 0.47303258017153854   accuracy 0.5695876288659794   precision 0.5061604641368969   recall 0.48861533099541504
deviation 1/5   iterations 1240/2000   F1 0.46504832609626073   accuracy 0.5373711340206185   precision 0.5212492788811013   recall 0.49353725584082603
deviation 1/5   iterations 1250/2000   F1 0.4772642309776029   accuracy 0.5708762886597938   precision 0.5195249430413221   recall 0.49921670369795823
deviation 1/5   iterations 1260/2000   F1 0.45017458346392664   accuracy 0.5180412371134021   precision 0.5075178124720807   recall 0.47610811915647644
deviation 1/5   iterations 1270/2000   F1 0.47274839510522   accuracy 0.5579896907216495   precision 0.5192776502941843   recall 0.499356767076637
deviation 1/5   iterations 1280/2000   F1 0.45567827742280437   accuracy 0.5244845360824743   precision 0.5057283729044678   recall 0.4838600571409726
deviation 1/5   iterations 1290/2000   F1 0.4769143289979311   accuracy 0.5657216494845361   precision 0.5262100409880849   recall 0.5017884953406533
deviation 1/5   iterations 1300/2000   F1 0.46211229854203834   accuracy 0.5425257731958762   precision 0.5029456975772765   recall 0.4846760484700723
deviation 1/5   iterations 1310/2000   F1 0.49145386636783256   accuracy 0.6056701030927835   precision 0.5234096715217996   recall 0.5091155608377907
deviation 1/5   iterations 1320/2000   F1 0.4852396007594045   accuracy 0.5747422680412371   precision 0.5142770546525941   recall 0.5097870914495787
deviation 1/5   iterations 1330/2000   F1 0.4922724253702296   accuracy 0.6018041237113402   precision 0.5193233133727565   recall 0.513145192385601
deviation 1/5   iterations 1340/2000   F1 0.49852551899970443   accuracy 0.6005154639175257   precision 0.5190607629841931   recall 0.5219007007647705
deviation 1/5   iterations 1350/2000   F1 0.465697766200963   accuracy 0.5476804123711341   precision 0.5048215622090068   recall 0.49192151890590957
deviation 1/5   iterations 1360/2000   F1 0.46137597451466067   accuracy 0.5360824742268041   precision 0.5223949729198469   recall 0.49569980997796853
deviation 1/5   iterations 1370/2000   F1 0.44091163960681906   accuracy 0.509020618556701   precision 0.5121200271063824   recall 0.47068599704156827
deviation 1/5   iterations 1380/2000   F1 0.47088124351282246   accuracy 0.5502577319587629   precision 0.517286262685411   recall 0.4986426881419656
deviation 1/5   iterations 1390/2000   F1 0.46831236728911535   accuracy 0.5476804123711341   precision 0.5272667615279159   recall 0.49477563597527885
deviation 1/5   iterations 1400/2000   F1 0.43639164622876453   accuracy 0.49355670103092786   precision 0.5141497173971978   recall 0.47382960557093945
deviation 1/5   iterations 1410/2000   F1 0.45453179758153367   accuracy 0.5180412371134021   precision 0.5222091640722185   recall 0.48678420589968124
deviation 1/5   iterations 1420/2000   F1 0.45123644862313705   accuracy 0.5231958762886598   precision 0.5007292423142097   recall 0.4770641738642549
deviation 1/5   iterations 1430/2000   F1 0.4683009494126253   accuracy 0.5605670103092784   precision 0.520672137952623   recall 0.4912002739379104
deviation 1/5   iterations 1440/2000   F1 0.4663615524206841   accuracy 0.5528350515463918   precision 0.5104337715031209   recall 0.4877246256256537
deviation 1/5   iterations 1450/2000   F1 0.4506739623342619   accuracy 0.5231958762886598   precision 0.5041153493550159   recall 0.47267750284910903
deviation 1/5   iterations 1460/2000   F1 0.4891521272641375   accuracy 0.5876288659793815   precision 0.5314525627513366   recall 0.5117348681673807
deviation 1/5   iterations 1470/2000   F1 0.44475040942660793   accuracy 0.5012886597938144   precision 0.500544571977034   recall 0.4801852663911815
deviation 1/5   iterations 1480/2000   F1 0.4838933203402813   accuracy 0.5760309278350515   precision 0.5370319284802043   recall 0.511800217505398
deviation 1/5   iterations 1490/2000   F1 0.45489248707922725   accuracy 0.5231958762886598   precision 0.5076122652959234   recall 0.4841198665652022
deviation 1/5   iterations 1500/2000   F1 0.4831159136383012   accuracy 0.586340206185567   precision 0.5175219313214593   recall 0.4976981968061478
deviation 1/5   iterations 1510/2000   F1 0.4620131494689139   accuracy 0.5335051546391752   precision 0.5073992778813072   recall 0.4886084499747764
deviation 1/5   iterations 1520/2000   F1 0.47227556461167586   accuracy 0.5670103092783505   precision 0.5276072013093289   recall 0.48932004522744216
deviation 1/5   iterations 1530/2000   F1 0.44130333154354684   accuracy 0.5077319587628866   precision 0.5088764258618321   recall 0.4699018864175574
deviation 1/5   iterations 1540/2000   F1 0.45587157425396646   accuracy 0.5257731958762887   precision 0.5113513849111634   recall 0.48826456180724104
deviation 1/5   iterations 1550/2000   F1 0.469554444776856   accuracy 0.5528350515463918   precision 0.5231970353954899   recall 0.49220384433258374
deviation 1/5   iterations 1560/2000   F1 0.44577374845783097   accuracy 0.5103092783505154   precision 0.5046947961480166   recall 0.47729678493471783
deviation 1/5   iterations 1570/2000   F1 0.44851499798002675   accuracy 0.5244845360824743   precision 0.5231418773649811   recall 0.4764082782342731
deviation 1/5   iterations 1580/2000   F1 0.41271214341197865   accuracy 0.4574742268041237   precision 0.5097087450092914   recall 0.4528407418310274
deviation 1/5   iterations 1590/2000   F1 0.4343161936005325   accuracy 0.5012886597938144   precision 0.5180794606967237   recall 0.4675805394964477
deviation 1/5   iterations 1600/2000   F1 0.42423340566864615   accuracy 0.4652061855670103   precision 0.5104588465545085   recall 0.46109914736418234
deviation 1/5   iterations 1610/2000   F1 0.4726602888053571   accuracy 0.5631443298969072   precision 0.5210239075358682   recall 0.49153947975412365
deviation 1/5   iterations 1620/2000   F1 0.451867670657678   accuracy 0.5231958762886598   precision 0.5101339925457397   recall 0.4789669185771677
deviation 1/5   iterations 1630/2000   F1 0.47727256844638105   accuracy 0.5786082474226805   precision 0.52311218594931   recall 0.49373391459635485
deviation 1/5   iterations 1640/2000   F1 0.43772210695421326   accuracy 0.49871134020618557   precision 0.5035372303043081   recall 0.47297546325758916
deviation 1/5   iterations 1650/2000   F1 0.4614094568225706   accuracy 0.5347938144329897   precision 0.5166404948565851   recall 0.48595726194009764
deviation 1/5   iterations 1660/2000   F1 0.46367111340171574   accuracy 0.5463917525773195   precision 0.5152409152344392   recall 0.4834079862998472
deviation 1/5   iterations 1670/2000   F1 0.4706410280978493   accuracy 0.5502577319587629   precision 0.5140848774716051   recall 0.49226072472212284
deviation 1/5   iterations 1680/2000   F1 0.4754495804585049   accuracy 0.5605670103092784   precision 0.5209252988005018   recall 0.49978852058463435
deviation 1/5   iterations 1690/2000   F1 0.4794087561477511   accuracy 0.5708762886597938   precision 0.513701409317178   recall 0.5017006300001913
deviation 1/5   iterations 1700/2000   F1 0.4976265147411006   accuracy 0.6082474226804123   precision 0.5138908852190037   recall 0.5127049699291255
deviation 1/5   iterations 1710/2000   F1 0.4807743827038638   accuracy 0.5708762886597938   precision 0.5153873214662633   recall 0.5016080823084074
deviation 1/5   iterations 1720/2000   F1 0.47623192638018425   accuracy 0.5721649484536082   precision 0.5077265110414282   recall 0.4953365002314711
deviation 1/5   iterations 1730/2000   F1 0.457975697520337   accuracy 0.5373711340206185   precision 0.5065197509949022   recall 0.4839050891458618
deviation 1/5   iterations 1740/2000   F1 0.45801176953207107   accuracy 0.5270618556701031   precision 0.5079377489169525   recall 0.48972240171235626
deviation 1/5   iterations 1750/2000   F1 0.4495936573792674   accuracy 0.5193298969072165   precision 0.5163638294073077   recall 0.4743157557864701
deviation 1/5   iterations 1760/2000   F1 0.47016722100264285   accuracy 0.5579896907216495   precision 0.5101618048349282   recall 0.490398329662777
deviation 1/5   iterations 1770/2000   F1 0.4742493929107405   accuracy 0.5631443298969072   precision 0.502557045401082   recall 0.4937457629810047
deviation 1/5   iterations 1780/2000   F1 0.4850345604344231   accuracy 0.5837628865979382   precision 0.5152419785447307   recall 0.5014680189297285
deviation 1/5   iterations 1790/2000   F1 0.4843650017880326   accuracy 0.5773195876288659   precision 0.5126941832337835   recall 0.5049733492777575
deviation 1/5   iterations 1800/2000   F1 0.4340357908047087   accuracy 0.49871134020618557   precision 0.5150868363320225   recall 0.46524604127553765
deviation 1/5   iterations 1810/2000   F1 0.47822370838193057   accuracy 0.5695876288659794   precision 0.5199009246068744   recall 0.4966223960528186
deviation 1/5   iterations 1820/2000   F1 0.4762295319200946   accuracy 0.5567010309278351   precision 0.5160677937837838   recall 0.4992463857337306
deviation 1/5   iterations 1830/2000   F1 0.4996423574373167   accuracy 0.5966494845360825   precision 0.521681697818023   recall 0.5186895442280655
deviation 1/5   iterations 1840/2000   F1 0.47476765367650264   accuracy 0.5605670103092784   precision 0.5087949024282917   recall 0.4951242064941363
deviation 1/5   iterations 1850/2000   F1 0.5042755849548657   accuracy 0.6224226804123711   precision 0.520103433556119   recall 0.5159254911684746
deviation 1/5   iterations 1860/2000   F1 0.48344868254132406   accuracy 0.5670103092783505   precision 0.5127219796361725   recall 0.5099318371795796
deviation 1/5   iterations 1870/2000   F1 0.5016052491506785   accuracy 0.6224226804123711   precision 0.5154442485163145   recall 0.5114462724615447
deviation 1/5   iterations 1880/2000   F1 0.4985101626611706   accuracy 0.6018041237113402   precision 0.517948107835481   recall 0.5171616726336109
deviation 1/5   iterations 1890/2000   F1 0.4868345722628849   accuracy 0.6005154639175257   precision 0.5161928840963169   recall 0.5018700904019534
deviation 1/5   iterations 1900/2000   F1 0.5047753410828222   accuracy 0.6095360824742269   precision 0.5185629353375467   recall 0.5247463488856615
deviation 1/5   iterations 1910/2000   F1 0.5091729063644477   accuracy 0.6353092783505154   precision 0.5172312610582188   recall 0.518269354092029
deviation 1/5   iterations 1920/2000   F1 0.46361415800850186   accuracy 0.5502577319587629   precision 0.506638880344712   recall 0.4854826750965277
deviation 1/5   iterations 1930/2000   F1 0.49667362989320685   accuracy 0.6056701030927835   precision 0.5177733163057063   recall 0.5104630193999994
deviation 1/5   iterations 1940/2000   F1 0.4839799339098147   accuracy 0.5837628865979382   precision 0.5114313142940339   recall 0.4996578219085997
deviation 1/5   iterations 1950/2000   F1 0.4916309299301626   accuracy 0.5889175257731959   precision 0.52126226480182   recall 0.511289963359583
deviation 1/5   iterations 1960/2000   F1 0.5027599027599028   accuracy 0.6275773195876289   precision 0.5237910972364563   recall 0.5154415396222605
deviation 1/5   iterations 1970/2000   F1 0.5054394518305617   accuracy 0.6237113402061856   precision 0.5103157786209295   recall 0.519959805067607
deviation 1/5   iterations 1980/2000   F1 0.4696688193730159   accuracy 0.5554123711340206   precision 0.5213933523829019   recall 0.49272814553236505
deviation 1/5   iterations 1990/2000   F1 0.4605924788499185   accuracy 0.529639175257732   precision 0.5119521644568725   recall 0.48748513353455225
deviation 1/5   iterations 2000/2000   F1 0.48634492277670693   accuracy 0.5927835051546392   precision 0.5080600115603906   recall 0.5009709160837139

deviation 2/5   iterations 10/2000   F1 0.3447363471011038   accuracy 0.38193548387096776   precision 0.41042966042966045   recall 0.3867521315077316
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deviation 2/5   iterations 20/2000   F1 0.42283849733013873   accuracy 0.5406451612903226   precision 0.4259132747030649   recall 0.4301555799793799
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deviation 2/5   iterations 30/2000   F1 0.4251355749213556   accuracy 0.5406451612903226   precision 0.4311327561327561   recall 0.4336198578454882
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deviation 2/5   iterations 40/2000   F1 0.46317355659297754   accuracy 0.6064516129032258   precision 0.4692951618660655   recall 0.47203600283333813
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deviation 2/5   iterations 50/2000   F1 0.44097193237801297   accuracy 0.5612903225806452   precision 0.4506919181547328   recall 0.4448120017298482
deviation 2/5   iterations 60/2000   F1 0.4702158202158202   accuracy 0.6141935483870967   precision 0.47053387452577483   recall 0.47044073658283647
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deviation 2/5   iterations 70/2000   F1 0.48959182954896363   accuracy 0.6103225806451613   precision 0.49219713353479966   recall 0.49899632153642975
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deviation 2/5   iterations 80/2000   F1 0.49611189572974296   accuracy 0.6219354838709678   precision 0.4956072231084902   recall 0.5050932509577407
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deviation 2/5   iterations 90/2000   F1 0.4803065764526211   accuracy 0.6103225806451613   precision 0.49968318799332323   recall 0.482604570156781
deviation 2/5   iterations 100/2000   F1 0.4970082380494822   accuracy 0.632258064516129   precision 0.5000513889940374   recall 0.5010354217993923
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deviation 2/5   iterations 110/2000   F1 0.5054241537377706   accuracy 0.6438709677419355   precision 0.5107371791403764   recall 0.5073230566737991
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deviation 2/5   iterations 120/2000   F1 0.4887848620156257   accuracy 0.6   precision 0.5020028889855445   recall 0.4969280959447235
deviation 2/5   iterations 130/2000   F1 0.5174287164891113   accuracy 0.6541935483870968   precision 0.51461757150784   recall 0.5249169641786273
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deviation 2/5   iterations 140/2000   F1 0.48366770299885237   accuracy 0.6025806451612903   precision 0.5009822315417725   recall 0.48612268079343285
deviation 2/5   iterations 150/2000   F1 0.5047726685363944   accuracy 0.6412903225806451   precision 0.5103856927386339   recall 0.5076720697423995
deviation 2/5   iterations 160/2000   F1 0.5078791967033759   accuracy 0.632258064516129   precision 0.5132107951869657   recall 0.5159493081834484
deviation 2/5   iterations 170/2000   F1 0.5098460302520068   accuracy 0.6374193548387097   precision 0.5196195961769733   recall 0.5143852125797204
deviation 2/5   iterations 180/2000   F1 0.5199106135741366   accuracy 0.6477419354838709   precision 0.5315308725446974   recall 0.524375200338901
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deviation 2/5   iterations 190/2000   F1 0.5075327486132447   accuracy 0.6283870967741936   precision 0.5126871351396659   recall 0.5181413982350378
deviation 2/5   iterations 200/2000   F1 0.528766183272621   accuracy 0.6580645161290323   precision 0.5397913197913198   recall 0.5334355501471894
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deviation 2/5   iterations 210/2000   F1 0.5181229171040002   accuracy 0.6361290322580645   precision 0.5236880089096838   recall 0.5294100370137113
deviation 2/5   iterations 220/2000   F1 0.5403497871370092   accuracy 0.6735483870967742   precision 0.5448691589013803   recall 0.5451985832000195
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deviation 2/5   iterations 230/2000   F1 0.522207786765014   accuracy 0.6412903225806451   precision 0.5292165141741781   recall 0.5331059266935111
deviation 2/5   iterations 240/2000   F1 0.5284248665817614   accuracy 0.6516129032258065   precision 0.5317837792995311   recall 0.5385748616669604
deviation 2/5   iterations 250/2000   F1 0.5234123763339945   accuracy 0.6464516129032258   precision 0.5280121063017159   recall 0.5331468330541065
deviation 2/5   iterations 260/2000   F1 0.5328091336015649   accuracy 0.6709677419354839   precision 0.5339788152824306   recall 0.5366961961502533
deviation 2/5   iterations 270/2000   F1 0.5057194480118858   accuracy 0.6090322580645161   precision 0.5174492587643953   recall 0.5218793396535296
deviation 2/5   iterations 280/2000   F1 0.5490426476588187   accuracy 0.6941935483870968   precision 0.547279880613214   recall 0.5516789688455521
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deviation 2/5   iterations 290/2000   F1 0.5120292411025676   accuracy 0.6180645161290322   precision 0.5343657689818411   recall 0.52530598366789
deviation 2/5   iterations 300/2000   F1 0.5505022231437325   accuracy 0.6941935483870968   precision 0.5469901779784427   recall 0.5559457476938221
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deviation 2/5   iterations 310/2000   F1 0.5115297041749226   accuracy 0.6245161290322581   precision 0.5312737322723741   recall 0.5189827602597652
deviation 2/5   iterations 320/2000   F1 0.5390518980018292   accuracy 0.68   precision 0.5392078681552366   recall 0.5432692756088953
deviation 2/5   iterations 330/2000   F1 0.5071909553860774   accuracy 0.6206451612903225   precision 0.5205559293862715   recall 0.5158512965434615
deviation 2/5   iterations 340/2000   F1 0.5397506593415327   accuracy 0.6709677419354839   precision 0.5360717515827554   recall 0.5513558085968481
deviation 2/5   iterations 350/2000   F1 0.5223111377737689   accuracy 0.6464516129032258   precision 0.5286416476197497   recall 0.5304850561701601
deviation 2/5   iterations 360/2000   F1 0.5302284149015336   accuracy 0.6606451612903226   precision 0.5378088836116862   recall 0.5355576085094392
deviation 2/5   iterations 370/2000   F1 0.5307726089495007   accuracy 0.6529032258064517   precision 0.5310376088419865   recall 0.5435332034474571
deviation 2/5   iterations 380/2000   F1 0.5240875663425798   accuracy 0.6529032258064517   precision 0.5302045034080362   recall 0.530478592965186
deviation 2/5   iterations 390/2000   F1 0.5268959991211831   accuracy 0.6529032258064517   precision 0.5377096702403009   recall 0.5322743003826054
deviation 2/5   iterations 400/2000   F1 0.5329676647119811   accuracy 0.6670967741935484   precision 0.534715261978617   recall 0.5388882862018428
deviation 2/5   iterations 410/2000   F1 0.5362759088789616   accuracy 0.6696774193548387   precision 0.5344808547280674   recall 0.5446017593989317
deviation 2/5   iterations 420/2000   F1 0.5180703660180882   accuracy 0.6348387096774194   precision 0.5309314366067069   recall 0.5261202656819033
deviation 2/5   iterations 430/2000   F1 0.5324212533298147   accuracy 0.672258064516129   precision 0.5280159448482533   recall 0.5431959714107082
deviation 2/5   iterations 440/2000   F1 0.5260741697285678   accuracy 0.6503225806451612   precision 0.5396266889743364   recall 0.5328140189043019
deviation 2/5   iterations 450/2000   F1 0.5206421638056141   accuracy 0.6567741935483871   precision 0.5188903480937364   recall 0.5297643679091891
deviation 2/5   iterations 460/2000   F1 0.522975137862555   accuracy 0.6387096774193548   precision 0.5267967240243583   recall 0.5377217186103814
deviation 2/5   iterations 470/2000   F1 0.5322593662875059   accuracy 0.6619354838709678   precision 0.534927998757146   recall 0.539649880823409
deviation 2/5   iterations 480/2000   F1 0.5154564244462456   accuracy 0.6258064516129033   precision 0.5264748083879517   recall 0.528207880888532
deviation 2/5   iterations 490/2000   F1 0.5237476016118952   accuracy 0.6477419354838709   precision 0.5295749219456765   recall 0.5321062570532792
deviation 2/5   iterations 500/2000   F1 0.5240611022163054   accuracy 0.6464516129032258   precision 0.5315248549447821   recall 0.5322807635875795
deviation 2/5   iterations 510/2000   F1 0.5282583201982634   accuracy 0.6464516129032258   precision 0.5368605505848509   recall 0.5376043173554725
deviation 2/5   iterations 520/2000   F1 0.5112435813856973   accuracy 0.6206451612903225   precision 0.5246683943965468   recall 0.5228434207600434
deviation 2/5   iterations 530/2000   F1 0.5195560345716969   accuracy 0.6425806451612903   precision 0.5270890915410206   recall 0.5276078663913177
deviation 2/5   iterations 540/2000   F1 0.5102211040821909   accuracy 0.6167741935483871   precision 0.5239745982672663   recall 0.5234305088473095
deviation 2/5   iterations 550/2000   F1 0.5295582481394999   accuracy 0.6503225806451612   precision 0.5350965695001441   recall 0.5396154376677876
deviation 2/5   iterations 560/2000   F1 0.5203303317199497   accuracy 0.6335483870967742   precision 0.5249177337622742   recall 0.5366240373301628
deviation 2/5   iterations 570/2000   F1 0.5290212317441828   accuracy 0.6529032258064517   precision 0.5351735600547952   recall 0.537534285666133
deviation 2/5   iterations 580/2000   F1 0.5338260171285379   accuracy 0.6516129032258065   precision 0.5416347884378575   recall 0.5447644849013805
deviation 2/5   iterations 590/2000   F1 0.5289153080200585   accuracy 0.6309677419354839   precision 0.5393088945723217   recall 0.548549795885442
deviation 2/5   iterations 600/2000   F1 0.5312677366716385   accuracy 0.6567741935483871   precision 0.5341920299258168   recall 0.5396089744628135
deviation 2/5   iterations 610/2000   F1 0.5262951044796963   accuracy 0.6464516129032258   precision 0.5307152819185887   recall 0.5375407488711071
deviation 2/5   iterations 620/2000   F1 0.5253853490534518   accuracy 0.6258064516129033   precision 0.5374693733247825   recall 0.5457835441565345
deviation 2/5   iterations 630/2000   F1 0.5376435230172667   accuracy 0.6683870967741935   precision 0.5362964841271257   recall 0.5474380428171784
deviation 2/5   iterations 640/2000   F1 0.5316303030724283   accuracy 0.6387096774193548   precision 0.5390285430479405   recall 0.5501009650792217
deviation 2/5   iterations 650/2000   F1 0.5374991674991675   accuracy 0.6658064516129032   precision 0.5366440056385997   recall 0.5469845549036173
deviation 2/5   iterations 660/2000   F1 0.5253402783370781   accuracy 0.6258064516129033   precision 0.5348693177807102   recall 0.5466496136230616
deviation 2/5   iterations 670/2000   F1 0.5291695705359208   accuracy 0.64   precision 0.5440412148223849   recall 0.5403996944131237
deviation 2/5   iterations 680/2000   F1 0.5246577265620341   accuracy 0.632258064516129   precision 0.5398085566573249   recall 0.5370528178019245
deviation 2/5   iterations 690/2000   F1 0.5427497411125616   accuracy 0.672258064516129   precision 0.5377721564605801   recall 0.5563777188617102
deviation 2/5   iterations 700/2000   F1 0.5301056588170675   accuracy 0.64   precision 0.54551117417185   recall 0.5412021953952856
deviation 2/5   iterations 710/2000   F1 0.5303814549075444   accuracy 0.6425806451612903   precision 0.5390181691125088   recall 0.5433878222419009
deviation 2/5   iterations 720/2000   F1 0.5326437870305109   accuracy 0.6490322580645161   precision 0.5407775020678246   recall 0.5441838600190886
deviation 2/5   iterations 730/2000   F1 0.5314056761934175   accuracy 0.6606451612903226   precision 0.5291261748225388   recall 0.5448936671881409
deviation 2/5   iterations 740/2000   F1 0.5314791841857724   accuracy 0.6425806451612903   precision 0.5444024614676789   recall 0.5425217527753738
deviation 2/5   iterations 750/2000   F1 0.5283568080878142   accuracy 0.6361290322580645   precision 0.5380197958225288   recall 0.5442603549134021
deviation 2/5   iterations 760/2000   F1 0.5331869944669138   accuracy 0.6451612903225806   precision 0.5394578536731557   recall 0.5482352259724629
deviation 2/5   iterations 770/2000   F1 0.5298377937514647   accuracy 0.6296774193548387   precision 0.5415639189373712   recall 0.5495903718862691
deviation 2/5   iterations 780/2000   F1 0.5384463615427841   accuracy 0.6658064516129032   precision 0.5359703784895601   recall 0.5520538347340489
deviation 2/5   iterations 790/2000   F1 0.5390254997704981   accuracy 0.6529032258064517   precision 0.543214220554122   recall 0.5540531740145126
deviation 2/5   iterations 800/2000   F1 0.531019161997091   accuracy 0.6296774193548387   precision 0.5415810746973247   recall 0.5539842877032698
deviation 2/5   iterations 810/2000   F1 0.5362892080440355   accuracy 0.6567741935483871   precision 0.5407444668008048   recall 0.5466010986793954
deviation 2/5   iterations 820/2000   F1 0.5277061338537451   accuracy 0.6167741935483871   precision 0.5493953832857575   recall 0.5516532796510982
deviation 2/5   iterations 830/2000   F1 0.5392580792230758   accuracy 0.6412903225806451   precision 0.5495507538021056   recall 0.5603354910620421
deviation 2/5   iterations 840/2000   F1 0.542671321545574   accuracy 0.6516129032258065   precision 0.5453491362180611   recall 0.5621494427162871
deviation 2/5   iterations 850/2000   F1 0.5345929912546642   accuracy 0.6387096774193548   precision 0.5489242056976047   recall 0.5528898789318989
deviation 2/5   iterations 860/2000   F1 0.5312605042016806   accuracy 0.6374193548387097   precision 0.5351342458541722   recall 0.5544786819774266
deviation 2/5   iterations 870/2000   F1 0.5453577396609695   accuracy 0.6709677419354839   precision 0.5449308755760369   recall 0.5550743604004177
deviation 2/5   iterations 880/2000   F1 0.5302719730322641   accuracy 0.6219354838709678   precision 0.5467767681539321   recall 0.556215238797425
deviation 2/5   iterations 890/2000   F1 0.5334613317839861   accuracy 0.6361290322580645   precision 0.5429780105449659   recall 0.5531117550317687
deviation 2/5   iterations 900/2000   F1 0.5365023780020591   accuracy 0.6606451612903226   precision 0.534112085802907   recall 0.551083290422561
deviation 2/5   iterations 910/2000   F1 0.5280433949138975   accuracy 0.632258064516129   precision 0.5374573303574847   recall 0.5457135124671951
deviation 2/5   iterations 920/2000   F1 0.5172317656613638   accuracy 0.6064516129032258   precision 0.542413981657906   recall 0.5382625825101747
deviation 2/5   iterations 930/2000   F1 0.5297970560055744   accuracy 0.6438709677419355   precision 0.5362482986817488   recall 0.5414176082901813
deviation 2/5   iterations 940/2000   F1 0.5211944167237755   accuracy 0.6258064516129033   precision 0.5308917021609814   recall 0.5395303524377492
deviation 2/5   iterations 950/2000   F1 0.5379364276805879   accuracy 0.6761290322580645   precision 0.5336803196381158   recall 0.5504670770065511
deviation 2/5   iterations 960/2000   F1 0.5166494554035165   accuracy 0.6154838709677419   precision 0.5280668889600814   recall 0.5400603352456238
deviation 2/5   iterations 970/2000   F1 0.5297217378118129   accuracy 0.64   precision 0.5399199577113688   recall 0.5428071973596089
deviation 2/5   iterations 980/2000   F1 0.5176665028044968   accuracy 0.6090322580645161   precision 0.538065955957142   recall 0.5386525019393705
deviation 2/5   iterations 990/2000   F1 0.5252719350049806   accuracy 0.6451612903225806   precision 0.5282302118732112   recall 0.5384541879032038
deviation 2/5   iterations 1000/2000   F1 0.526581950595451   accuracy 0.655483870967742   precision 0.5248680413154098   recall 0.5411977775083412
deviation 2/5   iterations 1010/2000   F1 0.501445696683728   accuracy 0.6090322580645161   precision 0.5117062543343667   recall 0.5207589962495413
deviation 2/5   iterations 1020/2000   F1 0.5174740656774649   accuracy 0.6167741935483871   precision 0.5331463827025243   recall 0.5357461868317843
deviation 2/5   iterations 1030/2000   F1 0.5269437928795832   accuracy 0.6451612903225806   precision 0.5332033206450967   recall 0.5385813248719344
deviation 2/5   iterations 1040/2000   F1 0.5203022822428635   accuracy 0.6348387096774194   precision 0.5261425231440224   recall 0.5363859623114974
deviation 2/5   iterations 1050/2000   F1 0.51689373239017   accuracy 0.632258064516129   precision 0.5239576750908267   recall 0.5306724891144085
deviation 2/5   iterations 1060/2000   F1 0.520569984142499   accuracy 0.6090322580645161   precision 0.5512736648269118   recall 0.5433006916938325
deviation 2/5   iterations 1070/2000   F1 0.51125269653653   accuracy 0.6270967741935484   precision 0.5205334746511218   recall 0.5251808920171892
deviation 2/5   iterations 1080/2000   F1 0.5278373015873016   accuracy 0.6606451612903226   precision 0.5295100302955866   recall 0.536169404038505
deviation 2/5   iterations 1090/2000   F1 0.526518307278379   accuracy 0.6387096774193548   precision 0.5357647925251211   recall 0.5403199270099627
deviation 2/5   iterations 1100/2000   F1 0.5190315065368921   accuracy 0.6296774193548387   precision 0.525250426539561   recall 0.5396821968482794
deviation 2/5   iterations 1110/2000   F1 0.5304775729109907   accuracy 0.6580645161290323   precision 0.5304078147073119   recall 0.5435105413236873
deviation 2/5   iterations 1120/2000   F1 0.5130454663285788   accuracy 0.6335483870967742   precision 0.5159748261303584   recall 0.5320394160600662
deviation 2/5   iterations 1130/2000   F1 0.5356793992520931   accuracy 0.6606451612903226   precision 0.5353779930051116   recall 0.5476825810408181
deviation 2/5   iterations 1140/2000   F1 0.5089589452084647   accuracy 0.6103225806451613   precision 0.5199573225516622   recall 0.5311680287666617
deviation 2/5   iterations 1150/2000   F1 0.5210769654077412   accuracy 0.632258064516129   precision 0.5275197639558366   recall 0.5377281818153555
deviation 2/5   iterations 1160/2000   F1 0.5186511475952988   accuracy 0.6425806451612903   precision 0.5201037613488975   recall 0.532613577737384
deviation 2/5   iterations 1170/2000   F1 0.5190233869163364   accuracy 0.6283870967741936   precision 0.5275464111747171   recall 0.5348509920365133
deviation 2/5   iterations 1180/2000   F1 0.5166747580537914   accuracy 0.6361290322580645   precision 0.5207151219579572   recall 0.5326200409423582
deviation 2/5   iterations 1190/2000   F1 0.527226019196957   accuracy 0.6477419354838709   precision 0.5310686125083977   recall 0.538232311803334
deviation 2/5   iterations 1200/2000   F1 0.5130953257269045   accuracy 0.5935483870967742   precision 0.5402779573367809   recall 0.5410644227728
deviation 2/5   iterations 1210/2000   F1 0.513735341860052   accuracy 0.6038709677419355   precision 0.5268301348092077   recall 0.5410190985252602
deviation 2/5   iterations 1220/2000   F1 0.5090020781818628   accuracy 0.6193548387096774   precision 0.5145108381749603   recall 0.5272211376582483
deviation 2/5   iterations 1230/2000   F1 0.5170402488969407   accuracy 0.6387096774193548   precision 0.5208231396021707   recall 0.5288703184920148
deviation 2/5   iterations 1240/2000   F1 0.5267782756640749   accuracy 0.6219354838709678   precision 0.5430651196152151   recall 0.5482299081455854
deviation 2/5   iterations 1250/2000   F1 0.5203254072150741   accuracy 0.6245161290322581   precision 0.5301263637418756   recall 0.5414369979051035
deviation 2/5   iterations 1260/2000   F1 0.5234569608010468   accuracy 0.632258064516129   precision 0.536381318684679   recall 0.5369892493175592
deviation 2/5   iterations 1270/2000   F1 0.519753395355217   accuracy 0.6412903225806451   precision 0.5227963060504578   recall 0.5336541537382113
deviation 2/5   iterations 1280/2000   F1 0.5183218300373112   accuracy 0.6412903225806451   precision 0.5212797031559968   recall 0.5335905852538461
deviation 2/5   iterations 1290/2000   F1 0.5236655812572645   accuracy 0.6503225806451612   precision 0.5256852430345956   recall 0.5358333173798527
deviation 2/5   iterations 1300/2000   F1 0.5150727977445361   accuracy 0.6335483870967742   precision 0.522112046873544   recall 0.5269065677452692
deviation 2/5   iterations 1310/2000   F1 0.5107698562624264   accuracy 0.6258064516129033   precision 0.5186269862347377   recall 0.5262214680180165
deviation 2/5   iterations 1320/2000   F1 0.5155806453935138   accuracy 0.6180645161290322   precision 0.5277558581683551   recall 0.5345784738622265
deviation 2/5   iterations 1330/2000   F1 0.5117479571798181   accuracy 0.6167741935483871   precision 0.5297568244936667   recall 0.5252897847490944
deviation 2/5   iterations 1340/2000   F1 0.5160536645438273   accuracy 0.6193548387096774   precision 0.5312358391158569   recall 0.5318057589283449
deviation 2/5   iterations 1350/2000   F1 0.5127653585681821   accuracy 0.6141935483870967   precision 0.5347220348070464   recall 0.5274980737194795
deviation 2/5   iterations 1360/2000   F1 0.5185986793837124   accuracy 0.6245161290322581   precision 0.5287574454530977   recall 0.5370430820881028
deviation 2/5   iterations 1370/2000   F1 0.5083539923195525   accuracy 0.6051612903225806   precision 0.529586905452634   recall 0.5243257036425805
deviation 2/5   iterations 1380/2000   F1 0.5208207032239613   accuracy 0.6438709677419355   precision 0.5238770324025799   recall 0.538437988984408
deviation 2/5   iterations 1390/2000   F1 0.5114576697316583   accuracy 0.6348387096774194   precision 0.5145687879901398   recall 0.5309352715748736
deviation 2/5   iterations 1400/2000   F1 0.525990260915964   accuracy 0.6593548387096774   precision 0.5241316130736952   recall 0.539744619954548
deviation 2/5   iterations 1410/2000   F1 0.5249724706510056   accuracy 0.6503225806451612   precision 0.5257324664954783   recall 0.5376925932816375
deviation 2/5   iterations 1420/2000   F1 0.5154458450046685   accuracy 0.6193548387096774   precision 0.5287926321163315   recall 0.532671828394872
deviation 2/5   iterations 1430/2000   F1 0.5035530666861062   accuracy 0.6025806451612903   precision 0.5238856946287287   recall 0.519351162943288
deviation 2/5   iterations 1440/2000   F1 0.5297317639309908   accuracy 0.6438709677419355   precision 0.5324058719901861   recall 0.5482825955380324
deviation 2/5   iterations 1450/2000   F1 0.5209488515128543   accuracy 0.6477419354838709   precision 0.5219067388242272   recall 0.5404491092967231
deviation 2/5   iterations 1460/2000   F1 0.5353274176803589   accuracy 0.6670967741935484   precision 0.532038477157542   recall 0.550886121764491
deviation 2/5   iterations 1470/2000   F1 0.5183585943473825   accuracy 0.6335483870967742   precision 0.5215908734858598   recall 0.5433618876092834
deviation 2/5   iterations 1480/2000   F1 0.5156389923762142   accuracy 0.6219354838709678   precision 0.526069842216061   recall 0.5313931773753792
deviation 2/5   iterations 1490/2000   F1 0.5069007304526131   accuracy 0.6025806451612903   precision 0.5205890575769855   recall 0.5374750532559909
deviation 2/5   iterations 1500/2000   F1 0.5083694189007282   accuracy 0.6193548387096774   precision 0.5182556808782488   recall 0.5212857883612896
deviation 2/5   iterations 1510/2000   F1 0.5146447097006331   accuracy 0.6090322580645161   precision 0.5297812617153824   recall 0.5410600048858557
deviation 2/5   iterations 1520/2000   F1 0.4987521667123236   accuracy 0.584516129032258   precision 0.52458915900174   recall 0.5219849598765872
deviation 2/5   iterations 1530/2000   F1 0.519856675816519   accuracy 0.6232258064516129   precision 0.5275138791148644   recall 0.5458782832876736
deviation 2/5   iterations 1540/2000   F1 0.52852648497756   accuracy 0.6464516129032258   precision 0.5295588909379553   recall 0.5520732243489711
deviation 2/5   iterations 1550/2000   F1 0.5207373703970294   accuracy 0.6361290322580645   precision 0.5261661931473252   recall 0.5387460956924129
deviation 2/5   iterations 1560/2000   F1 0.516343132194269   accuracy 0.6180645161290322   precision 0.5287670623805077   recall 0.5363106127952806
deviation 2/5   iterations 1570/2000   F1 0.518952188870346   accuracy 0.6258064516129033   precision 0.5298241443008395   recall 0.5377346450203296
deviation 2/5   iterations 1580/2000   F1 0.5172069631581014   accuracy 0.6129032258064516   precision 0.5341084806588717   recall 0.5379382768833739
deviation 2/5   iterations 1590/2000   F1 0.5208513270457844   accuracy 0.6245161290322581   precision 0.5314832217828077   recall 0.5414369979051035
deviation 2/5   iterations 1600/2000   F1 0.5332556651580415   accuracy 0.6529032258064517   precision 0.5332817815460302   recall 0.5512642601618354
deviation 2/5   iterations 1610/2000   F1 0.5260547156529882   accuracy 0.632258064516129   precision 0.5308114392308075   recall 0.5507827922976268
deviation 2/5   iterations 1620/2000   F1 0.5393497507219482   accuracy 0.6541935483870968   precision 0.5390625514504923   recall 0.5598775852615364
deviation 2/5   iterations 1630/2000   F1 0.5325016115126603   accuracy 0.655483870967742   precision 0.5312169090280034   recall 0.5551184574571395
deviation 2/5   iterations 1640/2000   F1 0.5275307419502089   accuracy 0.6529032258064517   precision 0.5264977318783094   recall 0.5476092768426312
deviation 2/5   iterations 1650/2000   F1 0.5191848256848948   accuracy 0.6206451612903225   precision 0.5283858173971345   recall 0.5438197934097889
deviation 2/5   iterations 1660/2000   F1 0.5289627012045793   accuracy 0.6438709677419355   precision 0.5312280909055103   recall 0.5499511659867212
deviation 2/5   iterations 1670/2000   F1 0.5119703330941426   accuracy 0.6064516129032258   precision 0.5273131729902173   recall 0.5370786706218209
deviation 2/5   iterations 1680/2000   F1 0.524497235673158   accuracy 0.6283870967741936   precision 0.5321546732837056   recall 0.5469759645678922
deviation 2/5   iterations 1690/2000   F1 0.5182850044695956   accuracy 0.6335483870967742   precision 0.5233934474117122   recall 0.5382290392944863
deviation 2/5   iterations 1700/2000   F1 0.5187673954816484   accuracy 0.6632258064516129   precision 0.5178784268722061   recall 0.5389668264141861
deviation 2/5   iterations 1710/2000   F1 0.5227204745182948   accuracy 0.6348387096774194   precision 0.5258742003374034   recall 0.5442441559946062
deviation 2/5   iterations 1720/2000   F1 0.5130944477940346   accuracy 0.6025806451612903   precision 0.5329793237904674   recall 0.5379200326465483
deviation 2/5   iterations 1730/2000   F1 0.5152937656713016   accuracy 0.6206451612903225   precision 0.5261329345513918   recall 0.5324973218605719
deviation 2/5   iterations 1740/2000   F1 0.5280672359813563   accuracy 0.6309677419354839   precision 0.5336659560916911   recall 0.5545487136667661
deviation 2/5   iterations 1750/2000   F1 0.5363476591254847   accuracy 0.6529032258064517   precision 0.534752096410675   recall 0.5582563843784172
deviation 2/5   iterations 1760/2000   F1 0.5249341301972881   accuracy 0.655483870967742   precision 0.525136421115959   recall 0.547999196271827
deviation 2/5   iterations 1770/2000   F1 0.5401882160743834   accuracy 0.6567741935483871   precision 0.5379104561298149   recall 0.5629292815746789
deviation 2/5   iterations 1780/2000   F1 0.5163548396397356   accuracy 0.6283870967741936   precision 0.5199361430395913   recall 0.5398567033825797
deviation 2/5   iterations 1790/2000   F1 0.5313244345207925   accuracy 0.6632258064516129   precision 0.528009583550359   recall 0.5470792940347563
deviation 2/5   iterations 1800/2000   F1 0.5193219311183862   accuracy 0.6387096774193548   precision 0.5225307478003934   recall 0.5417977920055553
deviation 2/5   iterations 1810/2000   F1 0.5268428218165652   accuracy 0.6477419354838709   precision 0.5263249821956449   recall 0.5475683704820357
deviation 2/5   iterations 1820/2000   F1 0.5245417843814307   accuracy 0.6451612903225806   precision 0.5248791819803984   recall 0.5461216761332167
deviation 2/5   iterations 1830/2000   F1 0.5364557338806644   accuracy 0.6451612903225806   precision 0.5375699486944167   recall 0.5654294783342734
deviation 2/5   iterations 1840/2000   F1 0.5115437713794307   accuracy 0.6129032258064516   precision 0.5210428941916189   recall 0.5352764999994273
deviation 2/5   iterations 1850/2000   F1 0.5200967346624804   accuracy 0.6464516129032258   precision 0.5204788869360525   recall 0.5372229064492805
deviation 2/5   iterations 1860/2000   F1 0.5210847385095306   accuracy 0.6374193548387097   precision 0.5235707833268809   recall 0.542035867024221
deviation 2/5   iterations 1870/2000   F1 0.5212381493243333   accuracy 0.64   precision 0.522455602565422   recall 0.5424893549377822
deviation 2/5   iterations 1880/2000   F1 0.49631464214797544   accuracy 0.5832258064516129   precision 0.5193332109247546   recall 0.5196883949800369
deviation 2/5   iterations 1890/2000   F1 0.527639090891668   accuracy 0.6425806451612903   precision 0.5275550193582981   recall 0.5483935335879672
deviation 2/5   iterations 1900/2000   F1 0.5381277032648036   accuracy 0.6645161290322581   precision 0.5352085901198991   recall 0.5582272590496732
deviation 2/5   iterations 1910/2000   F1 0.5403004714732215   accuracy 0.6696774193548387   precision 0.5370621015782306   recall 0.5583953023789995
deviation 2/5   iterations 1920/2000   F1 0.5334319315452128   accuracy 0.6761290322580645   precision 0.5313681877415335   recall 0.5503399400378203
deviation 2/5   iterations 1930/2000   F1 0.5274001844958215   accuracy 0.6361290322580645   precision 0.529887739230405   recall 0.5493932032281991
deviation 2/5   iterations 1940/2000   F1 0.5299886667821258   accuracy 0.6529032258064517   precision 0.5289893522824315   recall 0.5477364138113617
deviation 2/5   iterations 1950/2000   F1 0.5273712717147961   accuracy 0.6245161290322581   precision 0.535988165874438   recall 0.5546823138404707
deviation 2/5   iterations 1960/2000   F1 0.5366861391726045   accuracy 0.6606451612903226   precision 0.533583745248699   recall 0.555350069270831
deviation 2/5   iterations 1970/2000   F1 0.5349344102931007   accuracy 0.6567741935483871   precision 0.5333629892110903   recall 0.5558735888737317
deviation 2/5   iterations 1980/2000   F1 0.5176696755825478   accuracy 0.6283870967741936   precision 0.5231495557582514   recall 0.5373220634673638
deviation 2/5   iterations 1990/2000   F1 0.5478773888018532   accuracy 0.6787096774193548   precision 0.5432706283351162   recall 0.5649683818376413
deviation 2/5   iterations 2000/2000   F1 0.5237874100347423   accuracy 0.6412903225806451   precision 0.524557832259604   recall 0.5415759159056857

deviation 3/5   iterations 10/2000   F1 0.26121747376155957   accuracy 0.2648578811369509   precision 0.3505559287768427   recall 0.36426110246055826
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deviation 3/5   iterations 20/2000   F1 0.36455387293944846   accuracy 0.4005167958656331   precision 0.4055533681567227   recall 0.4169360006932466
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deviation 3/5   iterations 30/2000   F1 0.40068059562133307   accuracy 0.5658914728682171   precision 0.403507102214581   recall 0.4067648853523691
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deviation 3/5   iterations 40/2000   F1 0.41644435807655156   accuracy 0.5258397932816538   precision 0.43381550694341353   recall 0.44058607379321924
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deviation 3/5   iterations 50/2000   F1 0.41246512997793855   accuracy 0.6085271317829457   precision 0.4229994700582936   recall 0.4148672874569006
deviation 3/5   iterations 60/2000   F1 0.4426493222341124   accuracy 0.5542635658914729   precision 0.4516212481311866   recall 0.45908697056218645
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deviation 3/5   iterations 70/2000   F1 0.43802988257383096   accuracy 0.6098191214470284   precision 0.4438599402105729   recall 0.44336426626737757
deviation 3/5   iterations 80/2000   F1 0.45435606477758544   accuracy 0.5852713178294574   precision 0.46140074670505155   recall 0.4597483258905239
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deviation 3/5   iterations 90/2000   F1 0.4620537870320542   accuracy 0.6136950904392765   precision 0.4677088032299958   recall 0.45988831153861326
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deviation 3/5   iterations 100/2000   F1 0.4781618655692729   accuracy 0.603359173126615   precision 0.4763610105168674   recall 0.4872681925799162
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deviation 3/5   iterations 110/2000   F1 0.4868392293129449   accuracy 0.6330749354005168   precision 0.4892269376369795   recall 0.4867792061096214
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deviation 3/5   iterations 120/2000   F1 0.48835565306748324   accuracy 0.6188630490956072   precision 0.48667378160860214   recall 0.49644883260167777
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deviation 3/5   iterations 130/2000   F1 0.4963869134349679   accuracy 0.6291989664082688   precision 0.49377945364733494   recall 0.5071127466135156
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deviation 3/5   iterations 140/2000   F1 0.4967339695485138   accuracy 0.6291989664082688   precision 0.49457541675195643   recall 0.5071127466135156
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deviation 3/5   iterations 150/2000   F1 0.4902324237537911   accuracy 0.6253229974160207   precision 0.49135542286227213   recall 0.49479392759884894
deviation 3/5   iterations 160/2000   F1 0.49355838861154283   accuracy 0.6098191214470284   precision 0.4997097729214312   recall 0.5041099622313392
deviation 3/5   iterations 170/2000   F1 0.49046470106781337   accuracy 0.6253229974160207   precision 0.4882527615615791   recall 0.5015073359448138
deviation 3/5   iterations 180/2000   F1 0.5021831606414048   accuracy 0.6304909560723514   precision 0.5124103561303835   recall 0.5092813149124518
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deviation 3/5   iterations 190/2000   F1 0.5041976688331422   accuracy 0.6408268733850129   precision 0.5026484517713573   recall 0.5100269895608829
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deviation 3/5   iterations 200/2000   F1 0.5059198039314938   accuracy 0.6291989664082688   precision 0.5048630965224583   recall 0.5186244858550549
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deviation 3/5   iterations 210/2000   F1 0.5097041853715488   accuracy 0.6369509043927648   precision 0.5237545227502186   recall 0.5171373586729082
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deviation 3/5   iterations 220/2000   F1 0.5054195048785853   accuracy 0.6369509043927648   precision 0.5036513997988067   recall 0.5157296728336597
deviation 3/5   iterations 230/2000   F1 0.5154969397813335   accuracy 0.648578811369509   precision 0.5174450399212512   recall 0.5213735744316603
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deviation 3/5   iterations 240/2000   F1 0.5134241313771133   accuracy 0.6395348837209303   precision 0.5139957208593452   recall 0.5225749915209278
deviation 3/5   iterations 250/2000   F1 0.5067708117332544   accuracy 0.6369509043927648   precision 0.5068626999478063   recall 0.5150008046612803
deviation 3/5   iterations 260/2000   F1 0.5128073273560476   accuracy 0.6498708010335917   precision 0.5112595842751407   recall 0.5192690347073406
deviation 3/5   iterations 270/2000   F1 0.5228204766937731   accuracy 0.6330749354005168   precision 0.5256530807824568   recall 0.5412009530665629
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deviation 3/5   iterations 280/2000   F1 0.5102365023898109   accuracy 0.6421188630490956   precision 0.5085527405199537   recall 0.5194341890781025
deviation 3/5   iterations 290/2000   F1 0.5107751502794008   accuracy 0.6369509043927648   precision 0.5097736845862783   recall 0.522782490013059
deviation 3/5   iterations 300/2000   F1 0.5196566783777172   accuracy 0.648578811369509   precision 0.5172861589457515   recall 0.5282906280776859
deviation 3/5   iterations 310/2000   F1 0.5112588044784868   accuracy 0.6343669250645995   precision 0.5110840700313966   recall 0.5232615155719379
deviation 3/5   iterations 320/2000   F1 0.5197170698525847   accuracy 0.648578811369509   precision 0.5186611578021947   recall 0.5291552597834391
deviation 3/5   iterations 330/2000   F1 0.5208838408718158   accuracy 0.6421188630490956   precision 0.519188617521786   recall 0.5360658367874741
deviation 3/5   iterations 340/2000   F1 0.532567156515698   accuracy 0.6576227390180879   precision 0.5360979408598456   recall 0.5420594770529705
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deviation 3/5   iterations 350/2000   F1 0.5175631905364781   accuracy 0.6434108527131783   precision 0.5163919413919413   recall 0.5281125204229428
deviation 3/5   iterations 360/2000   F1 0.5360522138550402   accuracy 0.6821705426356589   precision 0.5327118679795309   recall 0.5416460787335033
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deviation 3/5   iterations 370/2000   F1 0.5282224788606587   accuracy 0.6395348837209303   precision 0.5351173044121906   recall 0.5474634969488867
deviation 3/5   iterations 380/2000   F1 0.5213849253938342   accuracy 0.6472868217054264   precision 0.519343603669075   recall 0.5327854176192045
deviation 3/5   iterations 390/2000   F1 0.5179870534531341   accuracy 0.6408268733850129   precision 0.5183989621489622   recall 0.5294561776875749
deviation 3/5   iterations 400/2000   F1 0.5112732852619136   accuracy 0.6382428940568475   precision 0.5112486970185703   recall 0.5218141090612403
deviation 3/5   iterations 410/2000   F1 0.5229100192788797   accuracy 0.6498708010335917   precision 0.5202827337686857   recall 0.5374263005281579
deviation 3/5   iterations 420/2000   F1 0.5212594396197257   accuracy 0.6511627906976745   precision 0.5215006985385018   recall 0.5296766294636873
deviation 3/5   iterations 430/2000   F1 0.5278366452139331   accuracy 0.648578811369509   precision 0.5248519298438783   recall 0.5413958671973578
deviation 3/5   iterations 440/2000   F1 0.5306586886080187   accuracy 0.6524547803617571   precision 0.5266385179183017   recall 0.5442716192154261
deviation 3/5   iterations 450/2000   F1 0.5277636722599387   accuracy 0.6434108527131783   precision 0.5272186378733233   recall 0.5430827864874949
deviation 3/5   iterations 460/2000   F1 0.5442947901432592   accuracy 0.6679586563307494   precision 0.5389698425039384   recall 0.5569107860602004
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deviation 3/5   iterations 470/2000   F1 0.5288033918166177   accuracy 0.6317829457364341   precision 0.5300751609386166   recall 0.5534095461931733
deviation 3/5   iterations 480/2000   F1 0.5371468357963168   accuracy 0.6589147286821705   precision 0.538754467304163   recall 0.5498052949253706
deviation 3/5   iterations 490/2000   F1 0.5210592089682253   accuracy 0.6421188630490956   precision 0.5184576259370065   recall 0.5368625867265404
deviation 3/5   iterations 500/2000   F1 0.5288236817287791   accuracy 0.6434108527131783   precision 0.5273517055670595   recall 0.5448120498990013
deviation 3/5   iterations 510/2000   F1 0.530722345044094   accuracy 0.6447028423772609   precision 0.5327717848136734   recall 0.546505445831129
deviation 3/5   iterations 520/2000   F1 0.5264991138078566   accuracy 0.6395348837209303   precision 0.5238003473297591   recall 0.5443944294648188
deviation 3/5   iterations 530/2000   F1 0.5281848618717976   accuracy 0.6447028423772609   precision 0.5248739500564318   recall 0.5453014052919413
deviation 3/5   iterations 540/2000   F1 0.5243749544983176   accuracy 0.6304909560723514   precision 0.5248640248640248   recall 0.5450027419150807
deviation 3/5   iterations 550/2000   F1 0.5260400436687301   accuracy 0.6356589147286822   precision 0.5288467081443987   recall 0.5443162178640707
deviation 3/5   iterations 560/2000   F1 0.5383152656151351   accuracy 0.6563307493540051   precision 0.5331690933106028   recall 0.5525388067680744
deviation 3/5   iterations 570/2000   F1 0.5379670500258463   accuracy 0.6563307493540051   precision 0.5359291575039606   recall 0.551809938595695
deviation 3/5   iterations 580/2000   F1 0.5351463842069997   accuracy 0.6511627906976745   precision 0.5306018129750446   recall 0.5506314357018249
deviation 3/5   iterations 590/2000   F1 0.5218611824401997   accuracy 0.6382428940568475   precision 0.5287231199791336   recall 0.5370559021925401
deviation 3/5   iterations 600/2000   F1 0.5457597511876106   accuracy 0.6627906976744186   precision 0.5399419824502654   recall 0.560326968761844
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deviation 3/5   iterations 610/2000   F1 0.5324377224921556   accuracy 0.6472868217054264   precision 0.5294794944094624   recall 0.549417065328576
deviation 3/5   iterations 620/2000   F1 0.5387226729834143   accuracy 0.6679586563307494   precision 0.5380178845043583   recall 0.546603087357849
deviation 3/5   iterations 630/2000   F1 0.5293424960269052   accuracy 0.6434108527131783   precision 0.527222891566265   recall 0.5464734315438208
deviation 3/5   iterations 640/2000   F1 0.5372119417908828   accuracy 0.6602067183462532   precision 0.5404089918795801   recall 0.5478365187344248
deviation 3/5   iterations 650/2000   F1 0.5319514778485485   accuracy 0.6434108527131783   precision 0.5289540361851222   recall 0.55166122177834
deviation 3/5   iterations 660/2000   F1 0.5200694956285212   accuracy 0.6395348837209303   precision 0.5210677237255759   recall 0.5332220990567139
deviation 3/5   iterations 670/2000   F1 0.5193043921114097   accuracy 0.6317829457364341   precision 0.5225671008566151   recall 0.5361169120781093
deviation 3/5   iterations 680/2000   F1 0.5250825183426452   accuracy 0.6524547803617571   precision 0.5210911136107986   recall 0.5363541703302735
deviation 3/5   iterations 690/2000   F1 0.5283273795032205   accuracy 0.6550387596899225   precision 0.5244251715690978   recall 0.5395373168944682
deviation 3/5   iterations 700/2000   F1 0.5298794058620429   accuracy 0.6472868217054264   precision 0.5272605772841068   recall 0.5450939067998101
deviation 3/5   iterations 710/2000   F1 0.5246844323177365   accuracy 0.6395348837209303   precision 0.5411927187341122   recall 0.5414110750086144
deviation 3/5   iterations 720/2000   F1 0.5351829021693967   accuracy 0.6537467700258398   precision 0.5323686211172644   recall 0.5494914237372536
deviation 3/5   iterations 730/2000   F1 0.525733737182681   accuracy 0.6369509043927648   precision 0.5280091554601358   recall 0.5441445868513182
deviation 3/5   iterations 740/2000   F1 0.5374750851007254   accuracy 0.6589147286821705   precision 0.5329534426088868   recall 0.5512630312701293
deviation 3/5   iterations 750/2000   F1 0.5264926579895335   accuracy 0.6421188630490956   precision 0.529409846981446   recall 0.5425934310945549
deviation 3/5   iterations 760/2000   F1 0.5300451321727917   accuracy 0.6459948320413437   precision 0.5264767423145019   recall 0.5469269194573819
deviation 3/5   iterations 770/2000   F1 0.5245249281686521   accuracy 0.6472868217054264   precision 0.5249693193618427   recall 0.536515471508965
deviation 3/5   iterations 780/2000   F1 0.5221859404789057   accuracy 0.6330749354005168   precision 0.5208077344022776   recall 0.541065189533189
deviation 3/5   iterations 790/2000   F1 0.5259932659932659   accuracy 0.6472868217054264   precision 0.5231955004403769   recall 0.5390414848595376
deviation 3/5   iterations 800/2000   F1 0.5318315878008383   accuracy 0.6563307493540051   precision 0.528350932940698   recall 0.5429599762381024
deviation 3/5   iterations 810/2000   F1 0.527500590474947   accuracy 0.6408268733850129   precision 0.5253218508451066   recall 0.5467488118026389
deviation 3/5   iterations 820/2000   F1 0.5290626919451397   accuracy 0.648578811369509   precision 0.5420207717842674   recall 0.545397448153866
deviation 3/5   iterations 830/2000   F1 0.5321655431883349   accuracy 0.6317829457364341   precision 0.5345075287135373   recall 0.558004231788687
deviation 3/5   iterations 840/2000   F1 0.5376667597651165   accuracy 0.6563307493540051   precision 0.5334637303197142   recall 0.5517420568290082
deviation 3/5   iterations 850/2000   F1 0.53736666342444   accuracy 0.6524547803617571   precision 0.534670091439864   recall 0.554121976812146
deviation 3/5   iterations 860/2000   F1 0.5360368400285355   accuracy 0.648578811369509   precision 0.5384688774838794   recall 0.5549083969171512
deviation 3/5   iterations 870/2000   F1 0.5273602113960619   accuracy 0.6472868217054264   precision 0.5244735644660811   recall 0.5424321299158635
deviation 3/5   iterations 880/2000   F1 0.5278937287069937   accuracy 0.6472868217054264   precision 0.52590799031477   recall 0.5425678934492374
deviation 3/5   iterations 890/2000   F1 0.5196094318522578   accuracy 0.6382428940568475   precision 0.518180227471566   recall 0.5349872299475991
deviation 3/5   iterations 900/2000   F1 0.5119647635088961   accuracy 0.6098191214470284   precision 0.5247826292463275   recall 0.5395098116617104
deviation 3/5   iterations 910/2000   F1 0.5281543163530741   accuracy 0.6524547803617571   precision 0.5256391785178093   recall 0.5408809741591002
deviation 3/5   iterations 920/2000   F1 0.5162149159280967   accuracy 0.6434108527131783   precision 0.5158609258227723   recall 0.5272478887171895
deviation 3/5   iterations 930/2000   F1 0.5232659274375997   accuracy 0.6421188630490956   precision 0.5232556631786413   recall 0.5380666272657282
deviation 3/5   iterations 940/2000   F1 0.536730650448541   accuracy 0.6576227390180879   precision 0.5383878447324242   recall 0.5509094394105633
deviation 3/5   iterations 950/2000   F1 0.5185647786966245   accuracy 0.6382428940568475   precision 0.5172268865054789   recall 0.5332579665360927
deviation 3/5   iterations 960/2000   F1 0.5271246397451241   accuracy 0.6395348837209303   precision 0.5315497002263108   recall 0.5465309834764467
deviation 3/5   iterations 970/2000   F1 0.5077924124732636   accuracy 0.6020671834625323   precision 0.5164089869384114   recall 0.5369453073818388
deviation 3/5   iterations 980/2000   F1 0.5206369052718225   accuracy 0.6459948320413437   precision 0.5254083838950204   recall 0.5314993122871982
deviation 3/5   iterations 990/2000   F1 0.5296946790885732   accuracy 0.6369509043927648   precision 0.5316899698837713   recall 0.5521299175031578
deviation 3/5   iterations 1000/2000   F1 0.5331637423377226   accuracy 0.6589147286821705   precision 0.532230642364782   recall 0.5444138593907907
deviation 3/5   iterations 1010/2000   F1 0.502895952365917   accuracy 0.5956072351421189   precision 0.5168223274518834   recall 0.5318189222720159
deviation 3/5   iterations 1020/2000   F1 0.5253774317434936   accuracy 0.6356589147286822   precision 0.5256756596219869   recall 0.5451808495698239
deviation 3/5   iterations 1030/2000   F1 0.5227015250544662   accuracy 0.6563307493540051   precision 0.5226567720295069   recall 0.5299226188851174
deviation 3/5   iterations 1040/2000   F1 0.5222523953140067   accuracy 0.6343669250645995   precision 0.521813434823096   recall 0.5408935585204365
deviation 3/5   iterations 1050/2000   F1 0.5141510768113813   accuracy 0.6175710594315246   precision 0.5202958663561469   recall 0.5373438668126944
deviation 3/5   iterations 1060/2000   F1 0.5165678068222553   accuracy 0.6227390180878553   precision 0.5192503059722977   recall 0.538250842639817
deviation 3/5   iterations 1070/2000   F1 0.529213493671382   accuracy 0.6434108527131783   precision 0.5281421293528141   recall 0.5466770768438816
deviation 3/5   iterations 1080/2000   F1 0.5267953263236281   accuracy 0.6421188630490956   precision 0.5259943680996312   recall 0.5433222992669343
deviation 3/5   iterations 1090/2000   F1 0.5274735366818809   accuracy 0.648578811369509   precision 0.5256447283345614   recall 0.5413958671973578
deviation 3/5   iterations 1100/2000   F1 0.5265056373309248   accuracy 0.6395348837209303   precision 0.5255820996561736   recall 0.5445301929981925
deviation 3/5   iterations 1110/2000   F1 0.52725848403003   accuracy 0.6447028423772609   precision 0.5274539169540302   recall 0.5429790372414293
deviation 3/5   iterations 1120/2000   F1 0.5286589881953624   accuracy 0.6395348837209303   precision 0.5329502814258912   recall 0.548260246887953
deviation 3/5   iterations 1130/2000   F1 0.5209298109298109   accuracy 0.6447028423772609   precision 0.5207457296558494   recall 0.5333323249447702
deviation 3/5   iterations 1140/2000   F1 0.5199370034332554   accuracy 0.6382428940568475   precision 0.5301840335107423   recall 0.5353945205477206
deviation 3/5   iterations 1150/2000   F1 0.5021595305256349   accuracy 0.6149870801033591   precision 0.5074354210238116   recall 0.5190546906505737
deviation 3/5   iterations 1160/2000   F1 0.507708060764   accuracy 0.624031007751938   precision 0.5243422945698195   recall 0.5261780130465804
deviation 3/5   iterations 1170/2000   F1 0.4958817947779511   accuracy 0.5943152454780362   precision 0.5070782804139621   recall 0.5185459053316618
deviation 3/5   iterations 1180/2000   F1 0.5293525049578968   accuracy 0.648578811369509   precision 0.535688758934373   recall 0.5443970529147389
deviation 3/5   iterations 1190/2000   F1 0.5222808380703118   accuracy 0.6227390180878553   precision 0.5260304531818335   recall 0.5469650414640359
deviation 3/5   iterations 1200/2000   F1 0.5310941224741694   accuracy 0.6511627906976745   precision 0.5297859580759717   recall 0.5447147772949263
deviation 3/5   iterations 1210/2000   F1 0.5240974509642992   accuracy 0.6356589147286822   precision 0.5257549869217253   recall 0.5425869544525642
deviation 3/5   iterations 1220/2000   F1 0.5219841139436938   accuracy 0.6382428940568475   precision 0.5228769963553793   recall 0.5377168885982325
deviation 3/5   iterations 1230/2000   F1 0.5111793973838477   accuracy 0.6175710594315246   precision 0.5288117373136316   recall 0.5322918401115491
deviation 3/5   iterations 1240/2000   F1 0.5007426830524098   accuracy 0.5762273901808785   precision 0.5380215618050913   recall 0.5391917183588779
deviation 3/5   iterations 1250/2000   F1 0.5003058214520665   accuracy 0.5813953488372093   precision 0.544154223643058   recall 0.5377084443688016
deviation 3/5   iterations 1260/2000   F1 0.5164527126187496   accuracy 0.6447028423772609   precision 0.5154926167998063   recall 0.5286697575825695
deviation 3/5   iterations 1270/2000   F1 0.5127133438347783   accuracy 0.6175710594315246   precision 0.5197613649668443   recall 0.5338174582229948
deviation 3/5   iterations 1280/2000   F1 0.5093800271139824   accuracy 0.6188630490956072   precision 0.5219164138243705   recall 0.52852591874241
deviation 3/5   iterations 1290/2000   F1 0.5087392923721551   accuracy 0.6111111111111112   precision 0.5169481594842563   recall 0.5312170864637444
deviation 3/5   iterations 1300/2000   F1 0.524938663729715   accuracy 0.6369509043927648   precision 0.5363611932948101   recall 0.5425510869731857
deviation 3/5   iterations 1310/2000   F1 0.5334712809423611   accuracy 0.6459948320413437   precision 0.5334879325548177   recall 0.5515216050528958
deviation 3/5   iterations 1320/2000   F1 0.5156628252518664   accuracy 0.6227390180878553   precision 0.5264186547190537   recall 0.534860197583491
deviation 3/5   iterations 1330/2000   F1 0.5122242258355573   accuracy 0.6149870801033591   precision 0.5211254371094224   recall 0.5341607202484997
deviation 3/5   iterations 1340/2000   F1 0.5091674229121262   accuracy 0.6188630490956072   precision 0.5224186179924746   recall 0.5267287735642165
deviation 3/5   iterations 1350/2000   F1 0.504597529736619   accuracy 0.6149870801033591   precision 0.5083841194135311   recall 0.524174599118406
deviation 3/5   iterations 1360/2000   F1 0.5183997195276593   accuracy 0.6343669250645995   precision 0.5223549472710166   recall 0.5331118731686577
deviation 3/5   iterations 1370/2000   F1 0.503893951946976   accuracy 0.5956072351421189   precision 0.5190658314834199   recall 0.5308864087995757
deviation 3/5   iterations 1380/2000   F1 0.500662890462429   accuracy 0.5968992248062015   precision 0.5347739611890555   recall 0.5257306328523648
deviation 3/5   iterations 1390/2000   F1 0.49418367744395003   accuracy 0.5943152454780362   precision 0.5167159634229868   recall 0.5136296421638904
deviation 3/5   iterations 1400/2000   F1 0.4950280011618639   accuracy 0.5917312661498708   precision 0.5105337903492755   recall 0.5182960627181613
deviation 3/5   iterations 1410/2000   F1 0.5058795615366667   accuracy 0.6188630490956072   precision 0.5188241627914992   recall 0.5205405880905704
deviation 3/5   iterations 1420/2000   F1 0.4884196353332711   accuracy 0.5788113695090439   precision 0.5112308543742966   recall 0.5140957144387879
deviation 3/5   iterations 1430/2000   F1 0.49280074007995506   accuracy 0.5878552971576227   precision 0.5115860739655745   recall 0.5180820875840396
deviation 3/5   iterations 1440/2000   F1 0.5081678748787897   accuracy 0.6072351421188631   precision 0.5286908973781611   recall 0.533800651746943
deviation 3/5   iterations 1450/2000   F1 0.5129926417850337   accuracy 0.6149870801033591   precision 0.5207058126629861   recall 0.5359578654266931
deviation 3/5   iterations 1460/2000   F1 0.5104419109325192   accuracy 0.6175710594315246   precision 0.5196673938272367   recall 0.5284939044551017
deviation 3/5   iterations 1470/2000   F1 0.495750670136528   accuracy 0.582687338501292   precision 0.5288187989342381   recall 0.5250925606420697
deviation 3/5   iterations 1480/2000   F1 0.4933446240253662   accuracy 0.5891472868217055   precision 0.5162055170052023   recall 0.5143161662149004
deviation 3/5   iterations 1490/2000   F1 0.5097298177746922   accuracy 0.6072351421188631   precision 0.521618964566603   recall 0.5334612429135084
deviation 3/5   iterations 1500/2000   F1 0.500677380582818   accuracy 0.5891472868217055   precision 0.5263954751554   recall 0.5284218005736993
deviation 3/5   iterations 1510/2000   F1 0.5122066958428507   accuracy 0.6214470284237726   precision 0.5199490856795254   recall 0.5306407883007906
deviation 3/5   iterations 1520/2000   F1 0.49831280070969125   accuracy 0.5904392764857881   precision 0.5170868946626651   recall 0.52465587920456
deviation 3/5   iterations 1530/2000   F1 0.49808569037554457   accuracy 0.5917312661498708   precision 0.5261446839568462   recall 0.5201610896630416
deviation 3/5   iterations 1540/2000   F1 0.49736625711061055   accuracy 0.5775193798449613   precision 0.5306578337852622   recall 0.5319672701667261
deviation 3/5   iterations 1550/2000   F1 0.4948891002513587   accuracy 0.582687338501292   precision 0.5188832772166106   recall 0.5240921654029426
deviation 3/5   iterations 1560/2000   F1 0.4983539094650206   accuracy 0.5981912144702842   precision 0.5186331615472594   recall 0.5200996845383453
deviation 3/5   iterations 1570/2000   F1 0.4923635519043641   accuracy 0.5891472868217055   precision 0.5231251578033222   recall 0.5153844432207144
deviation 3/5   iterations 1580/2000   F1 0.4933820744038449   accuracy 0.5981912144702842   precision 0.5055904521696232   recall 0.5101814451749386
deviation 3/5   iterations 1590/2000   F1 0.48839433387595915   accuracy 0.5852713178294574   precision 0.5164659284321796   recall 0.5070493739013792
deviation 3/5   iterations 1600/2000   F1 0.48321710126260475   accuracy 0.5607235142118863   precision 0.521844836359222   recall 0.5123790353886178
deviation 3/5   iterations 1610/2000   F1 0.5011727213144782   accuracy 0.5956072351421189   precision 0.5269559082892417   recall 0.5203750647971634
deviation 3/5   iterations 1620/2000   F1 0.5013677443135128   accuracy 0.6020671834625323   precision 0.5161998812683537   recall 0.5211104096115334
deviation 3/5   iterations 1630/2000   F1 0.48253466243415993   accuracy 0.5607235142118863   precision 0.5182430173644507   recall 0.5168379574507577
deviation 3/5   iterations 1640/2000   F1 0.4940137028583565   accuracy 0.5762273901808785   precision 0.5304756448293317   recall 0.5278157426507125
deviation 3/5   iterations 1650/2000   F1 0.4889785892699929   accuracy 0.5788113695090439   precision 0.5274529082767884   recall 0.5151639914446019
deviation 3/5   iterations 1660/2000   F1 0.5014700202399035   accuracy 0.5943152454780362   precision 0.5240435883293025   recall 0.525870249577809
deviation 3/5   iterations 1670/2000   F1 0.5155013597935608   accuracy 0.6111111111111112   precision 0.5391769002858934   recall 0.5419999575329044
deviation 3/5   iterations 1680/2000   F1 0.5027641723998001   accuracy 0.5917312661498708   precision 0.5230346308301762   recall 0.530604551898767
deviation 3/5   iterations 1690/2000   F1 0.4979301962591796   accuracy 0.5917312661498708   precision 0.5312000139535517   recall 0.5300793290264484
deviation 3/5   iterations 1700/2000   F1 0.4981046567577567   accuracy 0.5852713178294574   precision 0.5249300958761228   recall 0.5290724571453307
deviation 3/5   iterations 1710/2000   F1 0.5048064182935791   accuracy 0.5943152454780362   precision 0.5328312474298221   recall 0.5303291716399489
deviation 3/5   iterations 1720/2000   F1 0.5048658364026585   accuracy 0.6020671834625323   precision 0.5245722531436817   recall 0.52377218649548
deviation 3/5   iterations 1730/2000   F1 0.5029863850278304   accuracy 0.6085271317829457   precision 0.5157494841606991   recall 0.5192518593086439
deviation 3/5   iterations 1740/2000   F1 0.5124369797634198   accuracy 0.624031007751938   precision 0.5169321554696664   recall 0.5300938809752248
deviation 3/5   iterations 1750/2000   F1 0.5040650177289469   accuracy 0.603359173126615   precision 0.5235496696203104   recall 0.5227359237769743
deviation 3/5   iterations 1760/2000   F1 0.5038078685982241   accuracy 0.582687338501292   precision 0.5387573506654286   recall 0.5373331680559884
deviation 3/5   iterations 1770/2000   F1 0.49641128159205233   accuracy 0.5762273901808785   precision 0.5328220791403889   recall 0.5322067829461654
deviation 3/5   iterations 1780/2000   F1 0.48404597548043277   accuracy 0.5684754521963824   precision 0.5241791538915519   recall 0.513146394490296
deviation 3/5   iterations 1790/2000   F1 0.49047735293109945   accuracy 0.582687338501292   precision 0.5119694784907475   recall 0.5179718616959833
deviation 3/5   iterations 1800/2000   F1 0.4996982840698483   accuracy 0.5956072351421189   precision 0.518034965134378   recall 0.5248339868593033
deviation 3/5   iterations 1810/2000   F1 0.5089398609433077   accuracy 0.6227390180878553   precision 0.5194064708956853   recall 0.5206866814580052
deviation 3/5   iterations 1820/2000   F1 0.4802768901705072   accuracy 0.5555555555555556   precision 0.519222922101334   recall 0.5104716643223682
deviation 3/5   iterations 1830/2000   F1 0.4959886935394387   accuracy 0.5775193798449613   precision 0.5275896875131431   recall 0.5275083481045861
deviation 3/5   iterations 1840/2000   F1 0.49405128079940114   accuracy 0.5749354005167958   precision 0.5280876112503576   recall 0.5288520053692182
deviation 3/5   iterations 1850/2000   F1 0.49245840241072664   accuracy 0.582687338501292   precision 0.5128540313460199   recall 0.515106439511976
deviation 3/5   iterations 1860/2000   F1 0.4974097462192173   accuracy 0.603359173126615   precision 0.5088253722541648   recall 0.5138180796526947
deviation 3/5   iterations 1870/2000   F1 0.5088213046661355   accuracy 0.6162790697674418   precision 0.5210681072307765   recall 0.5234098634666481
deviation 3/5   iterations 1880/2000   F1 0.5032780590517988   accuracy 0.6059431524547804   precision 0.511466998365615   recall 0.5229857663904748
deviation 3/5   iterations 1890/2000   F1 0.5177097519565651   accuracy 0.6201550387596899   precision 0.5302742008522802   recall 0.5360002095480624
deviation 3/5   iterations 1900/2000   F1 0.5100393567429741   accuracy 0.6072351421188631   precision 0.522726664786981   recall 0.5307994660295619
deviation 3/5   iterations 1910/2000   F1 0.47634149305629375   accuracy 0.5594315245478036   precision 0.5102741192222067   recall 0.5064982444610978
deviation 3/5   iterations 1920/2000   F1 0.46799267966448643   accuracy 0.5400516795865633   precision 0.5298702919794985   recall 0.5086832503134407
deviation 3/5   iterations 1930/2000   F1 0.5003080474155132   accuracy 0.5904392764857881   precision 0.521486643437863   recall 0.5245879974378732
deviation 3/5   iterations 1940/2000   F1 0.5127327255186824   accuracy 0.627906976744186   precision 0.5171425372028611   recall 0.5259846975805808
deviation 3/5   iterations 1950/2000   F1 0.5070801752405526   accuracy 0.6098191214470284   precision 0.5216206444687613   recall 0.5243359002970975
deviation 3/5   iterations 1960/2000   F1 0.4889241904984893   accuracy 0.5684754521963824   precision 0.5275535826383284   recall 0.527252028849095
deviation 3/5   iterations 1970/2000   F1 0.5162436621927434   accuracy 0.6124031007751938   precision 0.5274916056166057   recall 0.5416246812200911
deviation 3/5   iterations 1980/2000   F1 0.500323816635147   accuracy 0.5917312661498708   precision 0.5128610046561733   recall 0.5267387344756326
deviation 3/5   iterations 1990/2000   F1 0.504177885218205   accuracy 0.599483204134367   precision 0.5255018674136321   recall 0.5277776206440586
deviation 3/5   iterations 2000/2000   F1 0.45045880471398   accuracy 0.5064599483204134   precision 0.5064135727895418   recall 0.505567616593288

deviation 4/5   iterations 10/2000   F1 0.20827693315681747   accuracy 0.2054263565891473   precision 0.3946248007480729   recall 0.32366887175830744
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deviation 4/5   iterations 20/2000   F1 0.3737153343540967   accuracy 0.4198966408268734   precision 0.4548611111111111   recall 0.4309074701834668
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deviation 4/5   iterations 30/2000   F1 0.38380095515548085   accuracy 0.43023255813953487   precision 0.4731927719556042   recall 0.4493208503027502
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deviation 4/5   iterations 40/2000   F1 0.44025027572547   accuracy 0.5116279069767442   precision 0.4684559035613707   recall 0.4717357293957318
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deviation 4/5   iterations 50/2000   F1 0.4256389951282196   accuracy 0.5167958656330749   precision 0.46546112715103694   recall 0.4505695714733926
deviation 4/5   iterations 60/2000   F1 0.4615231348129689   accuracy 0.5723514211886305   precision 0.48100286685327803   recall 0.47750317908841505
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deviation 4/5   iterations 70/2000   F1 0.4810895097382481   accuracy 0.5736434108527132   precision 0.4968653993855607   recall 0.5033383810149455
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deviation 4/5   iterations 80/2000   F1 0.4909921345781975   accuracy 0.6111111111111112   precision 0.49062930458811466   recall 0.503734685918526
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deviation 4/5   iterations 90/2000   F1 0.4733963179811423   accuracy 0.5878552971576227   precision 0.5036335980611075   recall 0.4902781094665633
deviation 4/5   iterations 100/2000   F1 0.48843181072658687   accuracy 0.5775193798449613   precision 0.5040021706688373   recall 0.5158608453296729
deviation 4/5   iterations 110/2000   F1 0.4959788290143083   accuracy 0.6317829457364341   precision 0.4943780451082212   recall 0.5025142078259314
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deviation 4/5   iterations 120/2000   F1 0.49037417811259437   accuracy 0.5839793281653747   precision 0.5283786428951912   recall 0.5215981663396783
deviation 4/5   iterations 130/2000   F1 0.5087968358025483   accuracy 0.6434108527131783   precision 0.5078658686468533   recall 0.5233820712940552
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deviation 4/5   iterations 140/2000   F1 0.49649210280237277   accuracy 0.5801033591731266   precision 0.5333599158629333   recall 0.5308272582021547
deviation 4/5   iterations 150/2000   F1 0.5153716216216216   accuracy 0.6550387596899225   precision 0.5124619812119812   recall 0.5211085240069032
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deviation 4/5   iterations 160/2000   F1 0.4966721141204123   accuracy 0.5839793281653747   precision 0.5325921696428969   recall 0.5267180748075105
deviation 4/5   iterations 170/2000   F1 0.5095866512052737   accuracy 0.6253229974160207   precision 0.5189342232043949   recall 0.5212759329049405
deviation 4/5   iterations 180/2000   F1 0.5136815920398011   accuracy 0.6291989664082688   precision 0.5144644381306488   recall 0.5300683433299073
deviation 4/5   iterations 190/2000   F1 0.49561123897407083   accuracy 0.6188630490956072   precision 0.535246554133152   recall 0.5130983115722262
deviation 4/5   iterations 200/2000   F1 0.5153083622005731   accuracy 0.6227390180878553   precision 0.5182107540882965   recall 0.5354533022224967
deviation 4/5   iterations 210/2000   F1 0.5235328273937498   accuracy 0.6434108527131783   precision 0.5243278022035872   recall 0.5360299693080954
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deviation 4/5   iterations 220/2000   F1 0.5000964089311223   accuracy 0.599483204134367   precision 0.5177260653696948   recall 0.519792289992219
deviation 4/5   iterations 230/2000   F1 0.5250579059192794   accuracy 0.648578811369509   precision 0.5247006404901141   recall 0.5361401951961516
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deviation 4/5   iterations 240/2000   F1 0.5075590453787123   accuracy 0.6085271317829457   precision 0.5165329849430235   recall 0.5278981763661759
deviation 4/5   iterations 250/2000   F1 0.5221840860201755   accuracy 0.6434108527131783   precision 0.5237788513150833   recall 0.5343007058965891
deviation 4/5   iterations 260/2000   F1 0.523666748913283   accuracy 0.6395348837209303   precision 0.5265959242977181   recall 0.5384098892912332
deviation 4/5   iterations 270/2000   F1 0.5251576985504701   accuracy 0.6330749354005168   precision 0.5282484606148729   recall 0.5445915981228888
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deviation 4/5   iterations 280/2000   F1 0.5144970102650475   accuracy 0.6382428940568475   precision 0.5150724088802323   recall 0.5270697810624464
deviation 4/5   iterations 290/2000   F1 0.5112018565626814   accuracy 0.6149870801033591   precision 0.5339272439118039   recall 0.5335676156094943
deviation 4/5   iterations 300/2000   F1 0.528568008184713   accuracy 0.6382428940568475   precision 0.5303917325849948   recall 0.5482282326006448
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deviation 4/5   iterations 310/2000   F1 0.5246159651469933   accuracy 0.627906976744186   precision 0.5298716110163846   recall 0.5470752673520921
deviation 4/5   iterations 320/2000   F1 0.5307669469067864   accuracy 0.6537467700258398   precision 0.5329973351871162   recall 0.5425064883245411
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deviation 4/5   iterations 330/2000   F1 0.5270999264855329   accuracy 0.6459948320413437   precision 0.5291442522250099   recall 0.5410102610504834
deviation 4/5   iterations 340/2000   F1 0.5221351761849463   accuracy 0.6395348837209303   precision 0.5232493415641176   recall 0.5374094940521061
deviation 4/5   iterations 350/2000   F1 0.526299122657056   accuracy 0.6408268733850129   precision 0.5304062416531244   recall 0.5416967851014935
deviation 4/5   iterations 360/2000   F1 0.5250108339745582   accuracy 0.6395348837209303   precision 0.5403888703279089   recall 0.5395460480637341
deviation 4/5   iterations 370/2000   F1 0.5156549492863481   accuracy 0.6434108527131783   precision 0.5150308633454701   recall 0.5296381385343883
deviation 4/5   iterations 380/2000   F1 0.5245191493051814   accuracy 0.6421188630490956   precision 0.5302826372091011   recall 0.5380666272657282
deviation 4/5   iterations 390/2000   F1 0.524955551052157   accuracy 0.6343669250645995   precision 0.5389231590850615   recall 0.5419618355262505
deviation 4/5   iterations 400/2000   F1 0.5344855967078189   accuracy 0.6563307493540051   precision 0.533927802466584   recall 0.5481477664726215
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deviation 4/5   iterations 410/2000   F1 0.5155114013543544   accuracy 0.6214470284237726   precision 0.520840647367106   recall 0.5381509465858217
deviation 4/5   iterations 420/2000   F1 0.5144552378411512   accuracy 0.6421188630490956   precision 0.5283501445634967   recall 0.5234357700346107
deviation 4/5   iterations 430/2000   F1 0.5150282198714197   accuracy 0.627906976744186   precision 0.519128891090744   recall 0.5353598828104921
deviation 4/5   iterations 440/2000   F1 0.5250448820344636   accuracy 0.6356589147286822   precision 0.5315198902768465   recall 0.5424511909191905
deviation 4/5   iterations 450/2000   F1 0.5308334353364185   accuracy 0.6408268733850129   precision 0.5386927002303201   recall 0.5488174840475799
deviation 4/5   iterations 460/2000   F1 0.5312374772474228   accuracy 0.6408268733850129   precision 0.5307491981893747   recall 0.5529369972762851
deviation 4/5   iterations 470/2000   F1 0.5274494429310758   accuracy 0.6304909560723514   precision 0.5408241276949585   recall 0.5495295457439074
deviation 4/5   iterations 480/2000   F1 0.5274219810117559   accuracy 0.6550387596899225   precision 0.5256304775755577   recall 0.5403340668335345
deviation 4/5   iterations 490/2000   F1 0.49512591222119434   accuracy 0.5917312661498708   precision 0.5108207614942529   recall 0.5170241404122866
deviation 4/5   iterations 500/2000   F1 0.5079997241354014   accuracy 0.624031007751938   precision 0.5144657097288676   recall 0.520379286911879
deviation 4/5   iterations 510/2000   F1 0.5087891436728645   accuracy 0.6382428940568475   precision 0.5092131929699988   recall 0.5207458320554262
deviation 4/5   iterations 520/2000   F1 0.5155234077110277   accuracy 0.627906976744186   precision 0.5227157444718864   recall 0.5313082513484738
deviation 4/5   iterations 530/2000   F1 0.5208524222185424   accuracy 0.6266149870801033   precision 0.5293330728668884   recall 0.5402619629521321
deviation 4/5   iterations 540/2000   F1 0.5167676579302071   accuracy 0.6304909560723514   precision 0.5196526963405125   recall 0.5367458841964935
deviation 4/5   iterations 550/2000   F1 0.519123403855212   accuracy 0.6343669250645995   precision 0.5249543718462895   recall 0.5338407413410371
deviation 4/5   iterations 560/2000   F1 0.5115955897649261   accuracy 0.6149870801033591   precision 0.5311427645124482   recall 0.5334997338428074
deviation 4/5   iterations 570/2000   F1 0.5104611995121154   accuracy 0.6408268733850129   precision 0.511567263569552   recall 0.5297777552598326
deviation 4/5   iterations 580/2000   F1 0.5079133885048971   accuracy 0.6085271317829457   precision 0.5346820123398196   recall 0.5301026121444908
deviation 4/5   iterations 590/2000   F1 0.5250200907483649   accuracy 0.6343669250645995   precision 0.5283616191000422   recall 0.5459455852215819
deviation 4/5   iterations 600/2000   F1 0.5296527792610518   accuracy 0.6421188630490956   precision 0.5314808142676996   recall 0.5475096942623264
deviation 4/5   iterations 610/2000   F1 0.5239316518742676   accuracy 0.624031007751938   precision 0.5316462548427032   recall 0.5475901603903496
deviation 4/5   iterations 620/2000   F1 0.5142506181187609   accuracy 0.6111111111111112   precision 0.5290424045551262   recall 0.5373373901707038
deviation 4/5   iterations 630/2000   F1 0.5164344014733907   accuracy 0.6421188630490956   precision 0.5162760960721431   recall 0.5315390329586474
deviation 4/5   iterations 640/2000   F1 0.5254136352902071   accuracy 0.6330749354005168   precision 0.5280880099619945   recall 0.5462529797677083
deviation 4/5   iterations 650/2000   F1 0.5125358928077515   accuracy 0.5981912144702842   precision 0.5347195957426387   recall 0.5419191224822362
deviation 4/5   iterations 660/2000   F1 0.5266360626632085   accuracy 0.661498708010336   precision 0.5234251332656732   recall 0.5392722664697112
deviation 4/5   iterations 670/2000   F1 0.5292737481218208   accuracy 0.6434108527131783   precision 0.5293270307127398   recall 0.5481348131886402
deviation 4/5   iterations 680/2000   F1 0.5238390436158739   accuracy 0.6382428940568475   precision 0.5259245247805175   recall 0.5402429019488052
deviation 4/5   iterations 690/2000   F1 0.5136443967726952   accuracy 0.6111111111111112   precision 0.5238612137925639   recall 0.5413211398660351
deviation 4/5   iterations 700/2000   F1 0.5405726831116587   accuracy 0.6705426356589147   precision 0.5364483277684863   recall 0.5529732336783088
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deviation 4/5   iterations 710/2000   F1 0.5168014108371659   accuracy 0.6124031007751938   precision 0.5268357019810509   recall 0.5456084309154225
deviation 4/5   iterations 720/2000   F1 0.5077576176561468   accuracy 0.6059431524547804   precision 0.5269605892274472   recall 0.5275804519859885
deviation 4/5   iterations 730/2000   F1 0.5153046056271728   accuracy 0.6020671834625323   precision 0.5366525503695149   recall 0.5466599014451847
deviation 4/5   iterations 740/2000   F1 0.5236747379604522   accuracy 0.6537467700258398   precision 0.5215786794550242   recall 0.5377760391956535
deviation 4/5   iterations 750/2000   F1 0.521254202420424   accuracy 0.6188630490956072   precision 0.530971731270834   recall 0.5473441709689196
deviation 4/5   iterations 760/2000   F1 0.5208500095292549   accuracy 0.6304909560723514   precision 0.5256880485558884   recall 0.5420694379643866
deviation 4/5   iterations 770/2000   F1 0.5134039478672069   accuracy 0.6124031007751938   precision 0.5250126843934981   recall 0.5361653639188243
deviation 4/5   iterations 780/2000   F1 0.5160378294824373   accuracy 0.6330749354005168   precision 0.5191312636165577   recall 0.5320794636422225
deviation 4/5   iterations 790/2000   F1 0.511263688555749   accuracy 0.6175710594315246   precision 0.5216126826806158   recall 0.5301552860999211
deviation 4/5   iterations 800/2000   F1 0.5195414512234203   accuracy 0.6369509043927648   precision 0.5219477595488168   recall 0.5376169925442373
deviation 4/5   iterations 810/2000   F1 0.5259723033947098   accuracy 0.6304909560723514   precision 0.5326444031881659   recall 0.550054768616226
deviation 4/5   iterations 820/2000   F1 0.5248973700386372   accuracy 0.6317829457364341   precision 0.5379410028537718   recall 0.5431697292575087
deviation 4/5   iterations 830/2000   F1 0.5202277010695323   accuracy 0.6201550387596899   precision 0.5297020793728824   recall 0.5445107630722205
deviation 4/5   iterations 840/2000   F1 0.5262540511650832   accuracy 0.6330749354005168   precision 0.531776244639904   recall 0.5495757430573472
deviation 4/5   iterations 850/2000   F1 0.5203043832832605   accuracy 0.6304909560723514   precision 0.5271100427350427   recall 0.5378820429689943
deviation 4/5   iterations 860/2000   F1 0.5182957426730859   accuracy 0.6175710594315246   precision 0.5281682369917664   recall 0.5431926434529061
deviation 4/5   iterations 870/2000   F1 0.5382151638316022   accuracy 0.6640826873385013   precision 0.5365994485312667   recall 0.548847243807613
deviation 4/5   iterations 880/2000   F1 0.5171697484837001   accuracy 0.6136950904392765   precision 0.5306863491319034   recall 0.542181918379718
deviation 4/5   iterations 890/2000   F1 0.5162255148014689   accuracy 0.6111111111111112   precision 0.5325562550046411   recall 0.5407959169937165
deviation 4/5   iterations 900/2000   F1 0.516398752290766   accuracy 0.6408268733850129   precision 0.5193861931731211   recall 0.5334399273829061
deviation 4/5   iterations 910/2000   F1 0.5028243582915183   accuracy 0.5981912144702842   precision 0.5176117125545754   recall 0.5266094475842494
deviation 4/5   iterations 920/2000   F1 0.5222866846996778   accuracy 0.6317829457364341   precision 0.5280674814097681   recall 0.5402364253068145
deviation 4/5   iterations 930/2000   F1 0.5085641409114859   accuracy 0.6085271317829457   precision 0.5210837569797483   recall 0.5294916762443084
deviation 4/5   iterations 940/2000   F1 0.5090970979521026   accuracy 0.6046511627906976   precision 0.5216592141515775   recall 0.5344654913447058
deviation 4/5   iterations 950/2000   F1 0.519838585417126   accuracy 0.6395348837209303   precision 0.5265341746902428   recall 0.5314249538785206
deviation 4/5   iterations 960/2000   F1 0.5238612644039687   accuracy 0.6395348837209303   precision 0.5261025401277856   recall 0.5441907841647579
deviation 4/5   iterations 970/2000   F1 0.5152541137554046   accuracy 0.624031007751938   precision 0.5245842631334263   recall 0.5316873808533574
deviation 4/5   iterations 980/2000   F1 0.5196139209910373   accuracy 0.6266149870801033   precision 0.527627729664157   recall 0.5383290542405649
deviation 4/5   iterations 990/2000   F1 0.5245771708711168   accuracy 0.6459948320413437   precision 0.52645818798708   recall 0.5381448388664761
deviation 4/5   iterations 1000/2000   F1 0.4869846830710178   accuracy 0.5801033591731266   precision 0.5056215133237051   recall 0.5158391608764258
deviation 4/5   iterations 1010/2000   F1 0.5205612391080606   accuracy 0.6498708010335917   precision 0.527507390019127   recall 0.5273222471258672
deviation 4/5   iterations 1020/2000   F1 0.49994868352096855   accuracy 0.6007751937984496   precision 0.5134805819687082   recall 0.523468645141424
deviation 4/5   iterations 1030/2000   F1 0.5093693973059022   accuracy 0.6007751937984496   precision 0.5346652072633381   recall 0.5355234385164587
deviation 4/5   iterations 1040/2000   F1 0.5286348792821153   accuracy 0.6421188630490956   precision 0.5298701803482587   recall 0.5474418124956396
deviation 4/5   iterations 1050/2000   F1 0.5172753269068825   accuracy 0.6304909560723514   precision 0.5213100749559083   recall 0.535084502551674
deviation 4/5   iterations 1060/2000   F1 0.519774966705183   accuracy 0.6356589147286822   precision 0.5215585538542736   recall 0.5369918736179236
deviation 4/5   iterations 1070/2000   F1 0.5084866947538232   accuracy 0.6162790697674418   precision 0.5149892384371818   recall 0.526732626756287
deviation 4/5   iterations 1080/2000   F1 0.49632372769679717   accuracy 0.5904392764857881   precision 0.5135891263756593   recall 0.5181961666641662
deviation 4/5   iterations 1090/2000   F1 0.5107590658044109   accuracy 0.6136950904392765   precision 0.5203555793868098   recall 0.531399047310558
deviation 4/5   iterations 1100/2000   F1 0.518283693033693   accuracy 0.6472868217054264   precision 0.5179732434317845   recall 0.5325138905524568
deviation 4/5   iterations 1110/2000   F1 0.5195965500663026   accuracy 0.6408268733850129   precision 0.5209366001952273   recall 0.5378309676783591
deviation 4/5   iterations 1120/2000   F1 0.4803199442945146   accuracy 0.5671834625322998   precision 0.5043340736254122   recall 0.5039250090119604
deviation 4/5   iterations 1130/2000   F1 0.5072367363417477   accuracy 0.6136950904392765   precision 0.5177981757616222   recall 0.5246177571979063
deviation 4/5   iterations 1140/2000   F1 0.5050752592982132   accuracy 0.5968992248062015   precision 0.5221216729489142   recall 0.5303074871867016
deviation 4/5   iterations 1150/2000   F1 0.5107522538701877   accuracy 0.6046511627906976   precision 0.5246672966659728   recall 0.5336687414056395
deviation 4/5   iterations 1160/2000   F1 0.5054245154263833   accuracy 0.603359173126615   precision 0.517985109973547   recall 0.5284489368838121
deviation 4/5   iterations 1170/2000   F1 0.49936729377788663   accuracy 0.5930232558139535   precision 0.515078903886629   recall 0.524634194751313
deviation 4/5   iterations 1180/2000   F1 0.5057986643712902   accuracy 0.6072351421188631   precision 0.5155382291527834   recall 0.5253401487282949
deviation 4/5   iterations 1190/2000   F1 0.4967886806994075   accuracy 0.5749354005167958   precision 0.5179895355798789   recall 0.5318353598254225
deviation 4/5   iterations 1200/2000   F1 0.5164221061294069   accuracy 0.6317829457364341   precision 0.5190000924752936   recall 0.5356417397113008
deviation 4/5   iterations 1210/2000   F1 0.4965296282524547   accuracy 0.5917312661498708   precision 0.5111453578468291   recall 0.5196180355295462
deviation 4/5   iterations 1220/2000   F1 0.5000730531790154   accuracy 0.5981912144702842   precision 0.5143602779583372   recall 0.520557025643977
deviation 4/5   iterations 1230/2000   F1 0.48691257590506654   accuracy 0.5736434108527132   precision 0.5110185068645252   recall 0.5101196711275973
deviation 4/5   iterations 1240/2000   F1 0.49833745401950696   accuracy 0.6007751937984496   precision 0.5127182971170829   recall 0.5150259733839527
deviation 4/5   iterations 1250/2000   F1 0.49303773051741123   accuracy 0.5904392764857881   precision 0.5099695457196801   recall 0.5128726128962732
deviation 4/5   iterations 1260/2000   F1 0.48617980572003566   accuracy 0.5478036175710594   precision 0.5254190653008316   recall 0.5262680711633746
deviation 4/5   iterations 1270/2000   F1 0.4836965279272228   accuracy 0.562015503875969   precision 0.515883517611012   recall 0.5111391273700513
deviation 4/5   iterations 1280/2000   F1 0.4915911583500079   accuracy 0.5878552971576227   precision 0.5092631524004073   recall 0.5124870067493988
deviation 4/5   iterations 1290/2000   F1 0.4875588466547354   accuracy 0.5762273901808785   precision 0.5090071874986918   recall 0.5113699089802248
deviation 4/5   iterations 1300/2000   F1 0.5072397016942599   accuracy 0.6098191214470284   precision 0.5172793316144377   recall 0.5300489134039353
deviation 4/5   iterations 1310/2000   F1 0.4853074882146335   accuracy 0.5568475452196382   precision 0.5172732879812639   recall 0.519743100306214
deviation 4/5   iterations 1320/2000   F1 0.4876874663482796   accuracy 0.5736434108527132   precision 0.5133381002029594   recall 0.5138497250173578
deviation 4/5   iterations 1330/2000   F1 0.50745464262902   accuracy 0.6072351421188631   precision 0.5191607463418844   recall 0.5289344390846816
deviation 4/5   iterations 1340/2000   F1 0.4959537446822686   accuracy 0.5775193798449613   precision 0.5264385880077369   recall 0.5319672701667261
deviation 4/5   iterations 1350/2000   F1 0.4951672777744043   accuracy 0.5736434108527132   precision 0.5176901436493422   recall 0.5284805822484753
deviation 4/5   iterations 1360/2000   F1 0.4880873185819827   accuracy 0.5555555555555556   precision 0.524683827894837   recall 0.5289004572099332
deviation 4/5   iterations 1370/2000   F1 0.49836335648962665   accuracy 0.5839793281653747   precision 0.518476430976431   recall 0.5269717706130814
deviation 4/5   iterations 1380/2000   F1 0.5142347454130124   accuracy 0.6124031007751938   precision 0.5239214611246273   recall 0.5380303908637045
deviation 4/5   iterations 1390/2000   F1 0.48975002793794103   accuracy 0.5813953488372093   precision 0.5086614872039968   recall 0.5149386616912939
deviation 4/5   iterations 1400/2000   F1 0.4902017138440003   accuracy 0.5775193798449613   precision 0.5100724666881581   recall 0.5173864634411186
deviation 4/5   iterations 1410/2000   F1 0.4932841755223017   accuracy 0.5801033591731266   precision 0.5110790969944761   recall 0.5222309916501328
deviation 4/5   iterations 1420/2000   F1 0.5169023056420569   accuracy 0.6072351421188631   precision 0.5291567380262245   recall 0.545701850327427
deviation 4/5   iterations 1430/2000   F1 0.4755251064196981   accuracy 0.5516795865633075   precision 0.5024988579823945   recall 0.5112402531661967
deviation 4/5   iterations 1440/2000   F1 0.4999777723451217   accuracy 0.603359173126615   precision 0.5157272673233342   recall 0.5174123700090812
deviation 4/5   iterations 1450/2000   F1 0.495917741759586   accuracy 0.5839793281653747   precision 0.5157327135971266   recall 0.5218518621452491
deviation 4/5   iterations 1460/2000   F1 0.4918656936862029   accuracy 0.5723514211886305   precision 0.5130939399947132   recall 0.5233286594933347
deviation 4/5   iterations 1470/2000   F1 0.5108745108745109   accuracy 0.6253229974160207   precision 0.5165534076747762   recall 0.527056827778465
deviation 4/5   iterations 1480/2000   F1 0.5101624039406509   accuracy 0.6266149870801033   precision 0.5140975455362248   recall 0.528546578410532
deviation 4/5   iterations 1490/2000   F1 0.4917603626625871   accuracy 0.5981912144702842   precision 0.5053432179108107   recall 0.5107066680472572
deviation 4/5   iterations 1500/2000   F1 0.4614966881913947   accuracy 0.5322997416020672   precision 0.4981837606837607   recall 0.4908090711355824
deviation 4/5   iterations 1510/2000   F1 0.46901666563680905   accuracy 0.537467700258398   precision 0.5193815050198028   recall 0.5106878939837652
deviation 4/5   iterations 1520/2000   F1 0.4691669724933322   accuracy 0.5258397932816538   precision 0.5205341393419304   recall 0.522879680634324
deviation 4/5   iterations 1530/2000   F1 0.46921132634413526   accuracy 0.5387596899224806   precision 0.5219967049513797   recall 0.5123134081492061
deviation 4/5   iterations 1540/2000   F1 0.46514815070342513   accuracy 0.5284237726098191   precision 0.512003354334202   recall 0.508362902483333
deviation 4/5   iterations 1550/2000   F1 0.48744457443647865   accuracy 0.5645994832041343   precision 0.5195777613695408   recall 0.5232401180585257
deviation 4/5   iterations 1560/2000   F1 0.505448612690982   accuracy 0.5956072351421189   precision 0.5206123924042315   recall 0.5334124221501484
deviation 4/5   iterations 1570/2000   F1 0.4991560097959213   accuracy 0.5904392764857881   precision 0.5147350604539488   recall 0.5252489838435657
deviation 4/5   iterations 1580/2000   F1 0.4852011398724346   accuracy 0.5684754521963824   precision 0.5095784396253391   recall 0.5126033403568007
deviation 4/5   iterations 1590/2000   F1 0.48936964027889135   accuracy 0.5813953488372093   precision 0.508203792220252   recall 0.5149386616912939
deviation 4/5   iterations 1600/2000   F1 0.48348787615865213   accuracy 0.5607235142118863   precision 0.515461874156532   recall 0.5184993390955771
deviation 4/5   iterations 1610/2000   F1 0.4806231733579449   accuracy 0.5452196382428941   precision 0.5153028358286494   recall 0.5196263977761671
deviation 4/5   iterations 1620/2000   F1 0.49193045262781715   accuracy 0.5813953488372093   precision 0.5173869646942255   recall 0.5217377830651224
deviation 4/5   iterations 1630/2000   F1 0.4781403541299712   accuracy 0.5465116279069767   precision 0.5191735300094433   recall 0.5269148745429356
deviation 4/5   iterations 1640/2000   F1 0.504120321943715   accuracy 0.5956072351421189   precision 0.5179644549494252   recall 0.531683158738642
deviation 4/5   iterations 1650/2000   F1 0.47120719274296513   accuracy 0.541343669250646   precision 0.5207693356361395   recall 0.5074433422948743
deviation 4/5   iterations 1660/2000   F1 0.45882784747050676   accuracy 0.5155038759689923   precision 0.5092782234341815   recall 0.5013650137866392
deviation 4/5   iterations 1670/2000   F1 0.4521797943615546   accuracy 0.520671834625323   precision 0.5140869184241197   recall 0.5028150437472572
deviation 4/5   iterations 1680/2000   F1 0.4557912457912458   accuracy 0.5180878552971576   precision 0.5248581855712044   recall 0.5102111229521616
deviation 4/5   iterations 1690/2000   F1 0.4784443258415861   accuracy 0.5490956072351422   precision 0.5124728576478311   recall 0.5211122952161636
deviation 4/5   iterations 1700/2000   F1 0.5196234759801078   accuracy 0.6227390180878553   precision 0.5263606922760983   recall 0.5425061194018961
deviation 4/5   iterations 1710/2000   F1 0.4910177818355724   accuracy 0.5749354005167958   precision 0.5131558321651678   recall 0.521527661123071
deviation 4/5   iterations 1720/2000   F1 0.4928537353351768   accuracy 0.5736434108527132   precision 0.5228685995411769   recall 0.5262939777313372
deviation 4/5   iterations 1730/2000   F1 0.48907306658300626   accuracy 0.5684754521963824   precision 0.5141979788206203   recall 0.519724039302887
deviation 4/5   iterations 1740/2000   F1 0.48410664264532133   accuracy 0.5607235142118863   precision 0.5280789913714249   recall 0.5195676161013911
deviation 4/5   iterations 1750/2000   F1 0.4881455282966242   accuracy 0.5684754521963824   precision 0.5120142043406157   recall 0.5177911305913199
deviation 4/5   iterations 1760/2000   F1 0.5158739543419067   accuracy 0.6201550387596899   precision 0.5202570281124498   recall 0.5375937094261949
deviation 4/5   iterations 1770/2000   F1 0.5178865176323235   accuracy 0.6072351421188631   precision 0.5289963924057434   recall 0.5502286541562538
deviation 4/5   iterations 1780/2000   F1 0.47203986019338134   accuracy 0.541343669250646   precision 0.5047930203611412   recall 0.5069681699280658
deviation 4/5   iterations 1790/2000   F1 0.4837042211614339   accuracy 0.5697674418604651   precision 0.5053833583178009   recall 0.5117028411716688
deviation 4/5   iterations 1800/2000   F1 0.483813385889698   accuracy 0.5671834625322998   precision 0.5057645573822714   recall 0.512910734902927
deviation 4/5   iterations 1810/2000   F1 0.4573946251577165   accuracy 0.5090439276485789   precision 0.5186653737165617   recall 0.5130739216862487
deviation 4/5   iterations 1820/2000   F1 0.47754065134417784   accuracy 0.537467700258398   precision 0.526590161748645   recall 0.53264309546103
deviation 4/5   iterations 1830/2000   F1 0.4966786838289834   accuracy 0.5762273901808785   precision 0.520549446960092   recall 0.5328677693518579
deviation 4/5   iterations 1840/2000   F1 0.4916170682476344   accuracy 0.5710594315245479   precision 0.5148205740125179   recall 0.524704331045275
deviation 4/5   iterations 1850/2000   F1 0.5011607949998296   accuracy 0.6072351421188631   precision 0.5114748874438796   recall 0.5267978850730537
deviation 4/5   iterations 1860/2000   F1 0.5157219546151889   accuracy 0.6098191214470284   precision 0.5234447246231758   recall 0.5435614431237287
deviation 4/5   iterations 1870/2000   F1 0.489579050748175   accuracy 0.562015503875969   precision 0.5183567433641216   recall 0.528703288551863
deviation 4/5   iterations 1880/2000   F1 0.5055662148888432   accuracy 0.5956072351421189   precision 0.5212220582233177   recall 0.5343449356225886
deviation 4/5   iterations 1890/2000   F1 0.5040079594827507   accuracy 0.5788113695090439   precision 0.5295139018760531   recall 0.5439004830345183
deviation 4/5   iterations 1900/2000   F1 0.5166192480060929   accuracy 0.6162790697674418   precision 0.5236374585968082   recall 0.5408382611150859
deviation 4/5   iterations 1910/2000   F1 0.4916338538672694   accuracy 0.5658914728682171   precision 0.51813484104233   recall 0.5289851454526717
deviation 4/5   iterations 1920/2000   F1 0.4937169981631744   accuracy 0.5878552971576227   precision 0.5166848340990821   recall 0.5190146010564797
deviation 4/5   iterations 1930/2000   F1 0.4844828043548555   accuracy 0.5581395348837209   precision 0.5094176929806852   recall 0.5229621143497873
deviation 4/5   iterations 1940/2000   F1 0.5044714118709814   accuracy 0.5930232558139535   precision 0.5249510288938127   recall 0.5348918429481543
deviation 4/5   iterations 1950/2000   F1 0.4502449751743937   accuracy 0.4896640826873385   precision 0.5272342685450928   recall 0.5185816908282305
deviation 4/5   iterations 1960/2000   F1 0.4706614989036053   accuracy 0.5335917312661499   precision 0.5292038767739703   recall 0.5254441849141955
deviation 4/5   iterations 1970/2000   F1 0.4254113715140006   accuracy 0.4715762273901809   precision 0.5064485748284488   recall 0.49770735071811617
deviation 4/5   iterations 1980/2000   F1 0.49671180982491875   accuracy 0.5788113695090439   precision 0.5229570088905128   recall 0.5371191929218665
deviation 4/5   iterations 1990/2000   F1 0.4976012981673155   accuracy 0.5697674418604651   precision 0.5181760141169117   recall 0.5407108598283329
deviation 4/5   iterations 2000/2000   F1 0.4991711185175037   accuracy 0.5878552971576227   precision 0.5123209758622669   recall 0.528389786286391

deviation 5/5   iterations 10/2000   F1 0.19764510741142696   accuracy 0.21705426356589147   precision 0.35094346306252344   recall 0.34885989375519716
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deviation 5/5   iterations 20/2000   F1 0.4460260928353779   accuracy 0.5633074935400517   precision 0.4444340010694499   recall 0.4538160907497238
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deviation 5/5   iterations 30/2000   F1 0.44462521123821874   accuracy 0.5297157622739018   precision 0.459711903159048   recall 0.4693328952171966
deviation 5/5   iterations 40/2000   F1 0.46690066229705907   accuracy 0.5581395348837209   precision 0.4842451150951537   recall 0.49707321368270146
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deviation 5/5   iterations 50/2000   F1 0.4825158682192725   accuracy 0.6046511627906976   precision 0.48606924620284203   recall 0.491030260756985
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deviation 5/5   iterations 60/2000   F1 0.4885760330204774   accuracy 0.5981912144702842   precision 0.5020331333247204   recall 0.5113676544529496
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deviation 5/5   iterations 70/2000   F1 0.48038399519527486   accuracy 0.6098191214470284   precision 0.49186974655877896   recall 0.4887502368278424
deviation 5/5   iterations 80/2000   F1 0.5076922088484458   accuracy 0.6136950904392765   precision 0.5083943559410627   recall 0.5278726387208583
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deviation 5/5   iterations 90/2000   F1 0.5063855190970484   accuracy 0.6214470284237726   precision 0.504958323890106   recall 0.5201294442983784
deviation 5/5   iterations 100/2000   F1 0.5051536896456682   accuracy 0.6266149870801033   precision 0.5031814926736677   recall 0.5181709979414936
deviation 5/5   iterations 110/2000   F1 0.5261054327842464   accuracy 0.6330749354005168   precision 0.5227378700164248   recall 0.5447952434229496
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deviation 5/5   iterations 120/2000   F1 0.5274681641566691   accuracy 0.6498708010335917   precision 0.5268855755940247   recall 0.5435466042351172
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deviation 5/5   iterations 130/2000   F1 0.5184400610906633   accuracy 0.6395348837209303   precision 0.5140643321607504   recall 0.5287631769945741
deviation 5/5   iterations 140/2000   F1 0.5343966896778974   accuracy 0.6408268733850129   precision 0.5299141199324772   recall 0.554073156048786
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deviation 5/5   iterations 150/2000   F1 0.5342777763660543   accuracy 0.6408268733850129   precision 0.5297685354688104   recall 0.554005274282099
deviation 5/5   iterations 160/2000   F1 0.5260558572345624   accuracy 0.6304909560723514   precision 0.5233568498195565   recall 0.5476645187990273
deviation 5/5   iterations 170/2000   F1 0.5297606442129319   accuracy 0.6511627906976745   precision 0.5315580753725083   recall 0.5468335000453775
deviation 5/5   iterations 180/2000   F1 0.5384458255636084   accuracy 0.6291989664082688   precision 0.5435659367521533   recall 0.5744539186512451
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deviation 5/5   iterations 190/2000   F1 0.5388420712585617   accuracy 0.6666666666666666   precision 0.5349478769387236   recall 0.5441129414866549
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deviation 5/5   iterations 200/2000   F1 0.5362945577291693   accuracy 0.627906976744186   precision 0.5377155230993649   recall 0.5690983505960437
deviation 5/5   iterations 210/2000   F1 0.54782371020591   accuracy 0.661498708010336   precision 0.5420924621687452   recall 0.563160376658543
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deviation 5/5   iterations 220/2000   F1 0.5445221956251005   accuracy 0.6589147286821705   precision 0.5398209671465485   recall 0.5593841254553428
deviation 5/5   iterations 230/2000   F1 0.5547609437593869   accuracy 0.6447028423772609   precision 0.5512668606095986   recall 0.5884150583074043
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deviation 5/5   iterations 240/2000   F1 0.5519368803116796   accuracy 0.6705426356589147   precision 0.5459197538264796   recall 0.5619589595692754
deviation 5/5   iterations 250/2000   F1 0.5581186497403254   accuracy 0.6550387596899225   precision 0.5527955032739721   recall 0.5860416149662572
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deviation 5/5   iterations 260/2000   F1 0.5447467949342119   accuracy 0.6563307493540051   precision 0.5406214641671994   recall 0.5623891643647944
deviation 5/5   iterations 270/2000   F1 0.5397945383827646   accuracy 0.6472868217054264   precision 0.5387380926109824   recall 0.5612003316368631
deviation 5/5   iterations 280/2000   F1 0.5569854553672874   accuracy 0.665374677002584   precision 0.5515713792536506   recall 0.5765474726790235
deviation 5/5   iterations 290/2000   F1 0.5494438707108152   accuracy 0.6563307493540051   precision 0.5442879033975329   recall 0.5693740997775069
deviation 5/5   iterations 300/2000   F1 0.5510415829206167   accuracy 0.6563307493540051   precision 0.5463233246514981   recall 0.5721716401948272
deviation 5/5   iterations 310/2000   F1 0.5402622719956905   accuracy 0.6201550387596899   precision 0.5466739642743567   recall 0.5833691393256045
deviation 5/5   iterations 320/2000   F1 0.552215864978141   accuracy 0.6640826873385013   precision 0.5458503137514976   recall 0.5674118002285516
deviation 5/5   iterations 330/2000   F1 0.5436521886870982   accuracy 0.6369509043927648   precision 0.5445994832041343   recall 0.5758143823919288
deviation 5/5   iterations 340/2000   F1 0.5433527075672405   accuracy 0.6472868217054264   precision 0.5404720812143752   recall 0.5670491082770747
deviation 5/5   iterations 350/2000   F1 0.5479580347848781   accuracy 0.6731266149870802   precision 0.5428397979044793   recall 0.5562921437758773
deviation 5/5   iterations 360/2000   F1 0.5465991179411908   accuracy 0.6369509043927648   precision 0.5545764432840151   recall 0.5829350813380153
deviation 5/5   iterations 370/2000   F1 0.5526522098752112   accuracy 0.6666666666666666   precision 0.5463150990574008   recall 0.5685941563144923
deviation 5/5   iterations 380/2000   F1 0.552089506097999   accuracy 0.6511627906976745   precision 0.5494918648436878   recall 0.5797752178918628
deviation 5/5   iterations 390/2000   F1 0.5470469674278262   accuracy 0.6679586563307494   precision 0.5422779085815601   recall 0.5580469448327013
deviation 5/5   iterations 400/2000   F1 0.5507089018771955   accuracy 0.6498708010335917   precision 0.5471023932875684   recall 0.5780139401930482
deviation 5/5   iterations 410/2000   F1 0.5603697528973343   accuracy 0.6602067183462532   precision 0.5568505900128328   recall 0.5864912496877479
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deviation 5/5   iterations 420/2000   F1 0.5542081730021331   accuracy 0.6744186046511628   precision 0.5481761504205839   recall 0.565699343293097
deviation 5/5   iterations 430/2000   F1 0.5406130654015993   accuracy 0.6563307493540051   precision 0.5361193591204544   recall 0.5560652153577742
deviation 5/5   iterations 440/2000   F1 0.5484868391445344   accuracy 0.6705426356589147   precision 0.5440321386145098   recall 0.5585683145129495
deviation 5/5   iterations 450/2000   F1 0.5410690712192067   accuracy 0.6395348837209303   precision 0.5412759317793049   recall 0.5698760395317831
deviation 5/5   iterations 460/2000   F1 0.5452469692187433   accuracy 0.6576227390180879   precision 0.5415812333559975   recall 0.5622175333520418
deviation 5/5   iterations 470/2000   F1 0.555906835740238   accuracy 0.6666666666666666   precision 0.5497312224760212   recall 0.573120960143319
deviation 5/5   iterations 480/2000   F1 0.5593752490238266   accuracy 0.6692506459948321   precision 0.5526800643304696   recall 0.5778976065856464
deviation 5/5   iterations 490/2000   F1 0.5484175049155028   accuracy 0.6602067183462532   precision 0.5434811946131347   recall 0.5661295480886159
deviation 5/5   iterations 500/2000   F1 0.5612216557061178   accuracy 0.6589147286821705   precision 0.5560752824870342   recall 0.5881206170452592
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deviation 5/5   iterations 510/2000   F1 0.5602345071432667   accuracy 0.6692506459948321   precision 0.5544612932672633   recall 0.5786943565247126
deviation 5/5   iterations 520/2000   F1 0.531046334811616   accuracy 0.627906976744186   precision 0.5407319072293691   recall 0.5641820874282722
deviation 5/5   iterations 530/2000   F1 0.5539762856836027   accuracy 0.6511627906976745   precision 0.5497598844892613   recall 0.5813687177699953
deviation 5/5   iterations 540/2000   F1 0.5525889484402344   accuracy 0.661498708010336   precision 0.5471790057178346   recall 0.572807088955202
deviation 5/5   iterations 550/2000   F1 0.5615401916131427   accuracy 0.6524547803617571   precision 0.5577193900502171   recall 0.5963031163551689
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deviation 5/5   iterations 560/2000   F1 0.556117993342825   accuracy 0.6757105943152455   precision 0.5499463021014744   recall 0.5673927392252248
deviation 5/5   iterations 570/2000   F1 0.5692063611272787   accuracy 0.6782945736434108   precision 0.5625295071775479   recall 0.5888010333769236
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deviation 5/5   iterations 580/2000   F1 0.5523079980483709   accuracy 0.6524547803617571   precision 0.5487605144584945   recall 0.5795357051124235
deviation 5/5   iterations 590/2000   F1 0.5603586019742348   accuracy 0.665374677002584   precision 0.554213957981164   recall 0.5829393034527307
deviation 5/5   iterations 600/2000   F1 0.5560243236967376   accuracy 0.6602067183462532   precision 0.5509189198612742   recall 0.580031537147354
deviation 5/5   iterations 610/2000   F1 0.5591722063559775   accuracy 0.665374677002584   precision 0.5531165311653117   recall 0.5812100400412242
deviation 5/5   iterations 620/2000   F1 0.5727228907145225   accuracy 0.6795865633074936   precision 0.5652202290551805   recall 0.5921558109538708
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deviation 5/5   iterations 630/2000   F1 0.560170637028468   accuracy 0.6589147286821705   precision 0.554902816274852   recall 0.587255985339506
deviation 5/5   iterations 640/2000   F1 0.562548243386321   accuracy 0.6666666666666666   precision 0.5577780784437528   recall 0.5842932905514238
deviation 5/5   iterations 650/2000   F1 0.5442708223589955   accuracy 0.6382428940568475   precision 0.5457770383813941   recall 0.5773720147906827
deviation 5/5   iterations 660/2000   F1 0.555412741222857   accuracy 0.6524547803617571   precision 0.55129227747437   recall 0.5849271406470035
deviation 5/5   iterations 670/2000   F1 0.5415796362753765   accuracy 0.6369509043927648   precision 0.5436940291983565   recall 0.5730168419746086
deviation 5/5   iterations 680/2000   F1 0.5446206662475853   accuracy 0.6459948320413437   precision 0.5409705075794268   recall 0.5699503979404607
deviation 5/5   iterations 690/2000   F1 0.5443434766332252   accuracy 0.6421188630490956   precision 0.5425664022683319   recall 0.5732628313960385
deviation 5/5   iterations 700/2000   F1 0.5286331012897306   accuracy 0.6201550387596899   precision 0.5374248393116318   recall 0.5624822148541538
deviation 5/5   iterations 710/2000   F1 0.549702393494415   accuracy 0.6524547803617571   precision 0.5452358354759227   recall 0.5742800331112173
deviation 5/5   iterations 720/2000   F1 0.5359076561996484   accuracy 0.6382428940568475   precision 0.5351606454547632   recall 0.5613334717203166
deviation 5/5   iterations 730/2000   F1 0.5254535222777582   accuracy 0.6162790697674418   precision 0.5325935012294668   recall 0.5584703040635844
deviation 5/5   iterations 740/2000   F1 0.5570722999294428   accuracy 0.6705426356589147   precision 0.5516443503635794   recall 0.5758609486280136
deviation 5/5   iterations 750/2000   F1 0.5479448716806354   accuracy 0.648578811369509   precision 0.5472038272372334   recall 0.5762526624942336
deviation 5/5   iterations 760/2000   F1 0.5540626176999899   accuracy 0.6627906976744186   precision 0.5499123842220076   recall 0.5754329983597699
deviation 5/5   iterations 770/2000   F1 0.54438996059657   accuracy 0.648578811369509   precision 0.5444190379403794   recall 0.5695392541482688
deviation 5/5   iterations 780/2000   F1 0.5388591636173842   accuracy 0.6343669250645995   precision 0.541038655809606   recall 0.5698336954104137
deviation 5/5   iterations 790/2000   F1 0.5414188385110288   accuracy 0.6408268733850129   precision 0.548336692547219   recall 0.5718409625306585
deviation 5/5   iterations 800/2000   F1 0.5488498548490086   accuracy 0.6472868217054264   precision 0.5494238069904965   recall 0.5800185838633727
deviation 5/5   iterations 810/2000   F1 0.5499322157044131   accuracy 0.6524547803617571   precision 0.552103049970716   recall 0.5770775735285376
deviation 5/5   iterations 820/2000   F1 0.5373752287895553   accuracy 0.6291989664082688   precision 0.5439053614292848   recall 0.5706559829947976
deviation 5/5   iterations 830/2000   F1 0.5462379233802829   accuracy 0.6472868217054264   precision 0.546826626284122   recall 0.5740340436897872
deviation 5/5   iterations 840/2000   F1 0.5475905831050097   accuracy 0.6447028423772609   precision 0.5513017623334416   recall 0.5781073596050527
deviation 5/5   iterations 850/2000   F1 0.5374007465934229   accuracy 0.6317829457364341   precision 0.5397647484666636   recall 0.569973312135858
deviation 5/5   iterations 860/2000   F1 0.5416517207652342   accuracy 0.6550387596899225   precision 0.5419763102459073   recall 0.5615604001384198
deviation 5/5   iterations 870/2000   F1 0.5225312507376811   accuracy 0.6020671834625323   precision 0.5461197899008844   recall 0.5634273126879302
deviation 5/5   iterations 880/2000   F1 0.546449193859955   accuracy 0.6447028423772609   precision 0.5481037540086776   recall 0.5762423326601724
deviation 5/5   iterations 890/2000   F1 0.5395734256135037   accuracy 0.6408268733850129   precision 0.5416618079848964   recall 0.5670426316350841
deviation 5/5   iterations 900/2000   F1 0.5460279215525664   accuracy 0.6447028423772609   precision 0.5482444102790792   recall 0.57558134625448
deviation 5/5   iterations 910/2000   F1 0.5387624039133473   accuracy 0.6317829457364341   precision 0.5450788166967037   recall 0.5711773526750458
deviation 5/5   iterations 920/2000   F1 0.5610889486132346   accuracy 0.6731266149870802   precision 0.5545823195458232   recall 0.5791119769588952
deviation 5/5   iterations 930/2000   F1 0.5547190906647673   accuracy 0.6627906976744186   precision 0.551970502901354   recall 0.5794846298217883
deviation 5/5   iterations 940/2000   F1 0.5500211116196184   accuracy 0.6576227390180879   precision 0.5486273169911068   recall 0.5758479953440322
deviation 5/5   iterations 950/2000   F1 0.5474532888768594   accuracy 0.6563307493540051   precision 0.5472364362234393   recall 0.5717643495947057
deviation 5/5   iterations 960/2000   F1 0.5462942516621752   accuracy 0.6511627906976745   precision 0.5464438049678905   recall 0.5733155053514689
deviation 5/5   iterations 970/2000   F1 0.54273499971278   accuracy 0.6408268733850129   precision 0.5498356668316194   recall 0.5717051989972847
deviation 5/5   iterations 980/2000   F1 0.5484379484715362   accuracy 0.6498708010335917   precision 0.5475813786488848   recall 0.5762846767815418
deviation 5/5   iterations 990/2000   F1 0.5448357505671314   accuracy 0.6537467700258398   precision 0.5447598062361191   recall 0.5669877031523783
deviation 5/5   iterations 1000/2000   F1 0.5475853698137205   accuracy 0.6537467700258398   precision 0.5476473073386515   recall 0.5730401250926508
deviation 5/5   iterations 1010/2000   F1 0.5463286067124802   accuracy 0.648578811369509   precision 0.55187795905773   recall 0.572404676332276
deviation 5/5   iterations 1020/2000   F1 0.5496079506499311   accuracy 0.6511627906976745   precision 0.5504915292651141   recall 0.5778423091802957
deviation 5/5   iterations 1030/2000   F1 0.552119478030486   accuracy 0.6718346253229974   precision 0.5467634474840962   recall 0.5669751187910421
deviation 5/5   iterations 1040/2000   F1 0.5278139082430862   accuracy 0.6124031007751938   precision 0.5448015894430012   recall 0.5644445144031089
deviation 5/5   iterations 1050/2000   F1 0.5512236699091034   accuracy 0.6434108527131783   precision 0.5565108556832695   recall 0.5862643212696448
deviation 5/5   iterations 1060/2000   F1 0.5504118719738414   accuracy 0.6498708010335917   precision 0.5512099873603721   recall 0.5798789671379284
deviation 5/5   iterations 1070/2000   F1 0.5440019469748395   accuracy 0.6459948320413437   precision 0.5443748114287844   recall 0.570747147879527
deviation 5/5   iterations 1080/2000   F1 0.5495681689674374   accuracy 0.6692506459948321   precision 0.5446657973534241   recall 0.5655212356383538
deviation 5/5   iterations 1090/2000   F1 0.5516339797146284   accuracy 0.6679586563307494   precision 0.547171937477281   recall 0.5700839069465592
deviation 5/5   iterations 1100/2000   F1 0.5418521553974065   accuracy 0.648578811369509   precision 0.5432189474846152   recall 0.5658770820251952
deviation 5/5   iterations 1110/2000   F1 0.5382018604164879   accuracy 0.6343669250645995   precision 0.5446587868885105   recall 0.5671719185264672
deviation 5/5   iterations 1120/2000   F1 0.5420623660452967   accuracy 0.6330749354005168   precision 0.547778781267223   recall 0.5761256301301256
deviation 5/5   iterations 1130/2000   F1 0.5555703706271236   accuracy 0.6589147286821705   precision 0.5517870363965681   recall 0.5803389316934804
deviation 5/5   iterations 1140/2000   F1 0.5595802833752554   accuracy 0.6640826873385013   precision 0.5558690210109334   recall 0.585569066049369
deviation 5/5   iterations 1150/2000   F1 0.5615640984821185   accuracy 0.6576227390180879   precision 0.5594555594555595   recall 0.5935479200592179
deviation 5/5   iterations 1160/2000   F1 0.5547781105253398   accuracy 0.6679586563307494   precision 0.5494616441006863   recall 0.5728814473638796
deviation 5/5   iterations 1170/2000   F1 0.5572672959012984   accuracy 0.6576227390180879   precision 0.5543550969380507   recall 0.5856983529407521
deviation 5/5   iterations 1180/2000   F1 0.5374439164297676   accuracy 0.6317829457364341   precision 0.5502734802312861   recall 0.569719616330287
deviation 5/5   iterations 1190/2000   F1 0.5447603727665682   accuracy 0.6421188630490956   precision 0.5470834516702613   recall 0.5747884495074841
deviation 5/5   iterations 1200/2000   F1 0.5553352750535849   accuracy 0.6627906976744186   precision 0.5520756744154931   recall 0.5780268934770295
deviation 5/5   iterations 1210/2000   F1 0.5312657627921934   accuracy 0.6266149870801033   precision 0.5377843619331791   recall 0.5612167691902697
deviation 5/5   iterations 1220/2000   F1 0.542438358941766   accuracy 0.6459948320413437   precision 0.5442393354165717   recall 0.5680853709955803
deviation 5/5   iterations 1230/2000   F1 0.551271689889838   accuracy 0.6524547803617571   precision 0.5506418545379584   recall 0.5786710734066701
deviation 5/5   iterations 1240/2000   F1 0.5296895667710646   accuracy 0.6188630490956072   precision 0.5361876225022265   recall 0.5649083321507313
deviation 5/5   iterations 1250/2000   F1 0.544814756497956   accuracy 0.6498708010335917   precision 0.5437131665005334   recall 0.5684351096630761
deviation 5/5   iterations 1260/2000   F1 0.5467907511184142   accuracy 0.6511627906976745   precision 0.5468704287855237   recall 0.5717220054733364
deviation 5/5   iterations 1270/2000   F1 0.5279829765019364   accuracy 0.6162790697674418   precision 0.5364969514721247   recall 0.5659804623486157
deviation 5/5   iterations 1280/2000   F1 0.5374350973744124   accuracy 0.6421188630490956   precision 0.5407622498466046   recall 0.5591571970372397
deviation 5/5   iterations 1290/2000   F1 0.5263971874017553   accuracy 0.6214470284237726   precision 0.5369815173006662   recall 0.5532569761837477
deviation 5/5   iterations 1300/2000   F1 0.5252774886105737   accuracy 0.6214470284237726   precision 0.5351303410567191   recall 0.5514598310055544
deviation 5/5   iterations 1310/2000   F1 0.5298491703091428   accuracy 0.6124031007751938   precision 0.5460326180402572   recall 0.5688355546985618
deviation 5/5   iterations 1320/2000   F1 0.5572475194941959   accuracy 0.6679586563307494   precision 0.5527756084862684   recall 0.5788659875374651
deviation 5/5   iterations 1330/2000   F1 0.541291193026053   accuracy 0.6434108527131783   precision 0.5421445221445221   recall 0.5691575011934648
deviation 5/5   iterations 1340/2000   F1 0.5326446566191144   accuracy 0.6291989664082688   precision 0.5377224788930756   recall 0.5624670070428972
deviation 5/5   iterations 1350/2000   F1 0.5493643346339309   accuracy 0.6511627906976745   precision 0.5498297031368261   recall 0.5760451640021024
deviation 5/5   iterations 1360/2000   F1 0.5411791888043492   accuracy 0.6395348837209303   precision 0.5473377396293092   recall 0.5682825396536505
deviation 5/5   iterations 1370/2000   F1 0.5245474636176012   accuracy 0.6098191214470284   precision 0.5393491823192527   recall 0.5601930908331003
deviation 5/5   iterations 1380/2000   F1 0.5294105934930283   accuracy 0.6214470284237726   precision 0.5419903946499691   recall 0.5595809251907679
deviation 5/5   iterations 1390/2000   F1 0.5462879986818056   accuracy 0.6472868217054264   precision 0.5461938388408977   recall 0.5731015302173471
deviation 5/5   iterations 1400/2000   F1 0.541025372816827   accuracy 0.6421188630490956   precision 0.5419607378873013   recall 0.5668710006223315
deviation 5/5   iterations 1410/2000   F1 0.558351174831521   accuracy 0.6718346253229974   precision 0.552207501642108   recall 0.5765539493210143
deviation 5/5   iterations 1420/2000   F1 0.5537270746682511   accuracy 0.6537467700258398   precision 0.5506014788654673   recall 0.582551073855936
deviation 5/5   iterations 1430/2000   F1 0.5393502192899303   accuracy 0.6511627906976745   precision 0.5385825650639372   recall 0.5577521346479113
deviation 5/5   iterations 1440/2000   F1 0.5476833091111882   accuracy 0.6459948320413437   precision 0.5492069862874218   recall 0.5760707016474199
deviation 5/5   iterations 1450/2000   F1 0.5213105767415601   accuracy 0.6059431524547804   precision 0.5330914621481645   recall 0.5571815752816581
deviation 5/5   iterations 1460/2000   F1 0.5424361826288024   accuracy 0.6498708010335917   precision 0.5465574277190401   recall 0.564247714667684
deviation 5/5   iterations 1470/2000   F1 0.5276581457316128   accuracy 0.627906976744186   precision 0.5363872537333504   recall 0.5522630575866113
deviation 5/5   iterations 1480/2000   F1 0.5441952127108366   accuracy 0.6589147286821705   precision 0.5426476063740626   recall 0.5635036386840481
deviation 5/5   iterations 1490/2000   F1 0.558775948036147   accuracy 0.6744186046511628   precision 0.5534574863083636   recall 0.5778720689403287
deviation 5/5   iterations 1500/2000   F1 0.5590996922205039   accuracy 0.6692506459948321   precision 0.5542542685453781   recall 0.5812203698752852
deviation 5/5   iterations 1510/2000   F1 0.5663385867889218   accuracy 0.6795865633074936   precision 0.5596419863661243   recall 0.5850351120077845
deviation 5/5   iterations 1520/2000   F1 0.55336709543226   accuracy 0.6640826873385013   precision 0.5498422514492544   recall 0.5758544719860229
deviation 5/5   iterations 1530/2000   F1 0.5466250002304218   accuracy 0.6511627906976745   precision 0.5519081647141579   recall 0.5692638738894505
deviation 5/5   iterations 1540/2000   F1 0.5274620313578366   accuracy 0.6227390180878553   precision 0.533059306250386   recall 0.5590020035778938
deviation 5/5   iterations 1550/2000   F1 0.559880012560425   accuracy 0.6782945736434108   precision 0.5544824428588266   recall 0.5764246624296311
deviation 5/5   iterations 1560/2000   F1 0.5595390025788062   accuracy 0.6757105943152455   precision 0.5565594744655719   recall 0.5792939378057088
deviation 5/5   iterations 1570/2000   F1 0.5616163814611526   accuracy 0.6744186046511628   precision 0.5561102285207218   recall 0.5821952274690948
deviation 5/5   iterations 1580/2000   F1 0.5423358110717156   accuracy 0.6537467700258398   precision 0.5420174230579399   recall 0.5625287810902385
deviation 5/5   iterations 1590/2000   F1 0.5344945219268604   accuracy 0.6395348837209303   precision 0.5395885697393825   recall 0.5568386821787982
deviation 5/5   iterations 1600/2000   F1 0.5264217040277251   accuracy 0.6098191214470284   precision 0.5428742874287429   recall 0.5639231447228609
deviation 5/5   iterations 1610/2000   F1 0.5358819886548915   accuracy 0.6304909560723514   precision 0.5418312273390555   recall 0.5651607982141521
deviation 5/5   iterations 1620/2000   F1 0.5424440063514456   accuracy 0.6395348837209303   precision 0.5464495820612685   recall 0.571012198304284
deviation 5/5   iterations 1630/2000   F1 0.5465106217925766   accuracy 0.6421188630490956   precision 0.5512658981829782   recall 0.5766534764523644
deviation 5/5   iterations 1640/2000   F1 0.540984605608029   accuracy 0.6395348837209303   precision 0.5476629060160066   recall 0.5682825396536505
deviation 5/5   iterations 1650/2000   F1 0.5276098472214733   accuracy 0.624031007751938   precision 0.53744325800831   recall 0.5546429775697491
deviation 5/5   iterations 1660/2000   F1 0.5284654394044731   accuracy 0.627906976744186   precision 0.5396660052910053   recall 0.5533992163591123
deviation 5/5   iterations 1670/2000   F1 0.5333484880650226   accuracy 0.627906976744186   precision 0.5418925216998943   recall 0.5629780468890844
deviation 5/5   iterations 1680/2000   F1 0.537681421361761   accuracy 0.6369509043927648   precision 0.5419288815284717   recall 0.5633022479112625
deviation 5/5   iterations 1690/2000   F1 0.5337548491297982   accuracy 0.6369509043927648   precision 0.5392773765771478   recall 0.55631731249855
deviation 5/5   iterations 1700/2000   F1 0.5390755290898196   accuracy 0.6369509043927648   precision 0.5418461922323243   recall 0.569286788084848
deviation 5/5   iterations 1710/2000   F1 0.558799535665091   accuracy 0.6679586563307494   precision 0.5543322804632628   recall 0.5806631327156584
deviation 5/5   iterations 1720/2000   F1 0.5544747221784564   accuracy 0.6550387596899225   precision 0.5506396053552508   recall 0.5823794428431835
deviation 5/5   iterations 1730/2000   F1 0.5504240934025758   accuracy 0.6692506459948321   precision 0.5455187297070235   recall 0.5680472489889264
deviation 5/5   iterations 1740/2000   F1 0.5544299361450822   accuracy 0.6718346253229974   precision 0.5500907656795536   recall 0.5746210406094471
deviation 5/5   iterations 1750/2000   F1 0.5559916018253719   accuracy 0.6679586563307494   precision 0.5513728085211735   recall 0.5778655922983381
deviation 5/5   iterations 1760/2000   F1 0.559666974478561   accuracy 0.6705426356589147   precision 0.5547333664160018   recall 0.581913370568286
deviation 5/5   iterations 1770/2000   F1 0.557992943704384   accuracy 0.6666666666666666   precision 0.5534563965036877   recall 0.5806990001950371
deviation 5/5   iterations 1780/2000   F1 0.546917003513009   accuracy 0.6511627906976745   precision 0.5490320810257946   recall 0.5700606238285169
deviation 5/5   iterations 1790/2000   F1 0.5415697354671947   accuracy 0.6356589147286822   precision 0.5453446513272965   recall 0.5738494593930534
deviation 5/5   iterations 1800/2000   F1 0.5593761863852994   accuracy 0.6666666666666666   precision 0.5562689870269896   recall 0.5842932905514238
deviation 5/5   iterations 1810/2000   F1 0.5598178089643259   accuracy 0.6627906976744186   precision 0.5552078818238514   recall 0.5857406970621214
deviation 5/5   iterations 1820/2000   F1 0.5745159625667046   accuracy 0.6886304909560723   precision 0.5695922632403881   recall 0.592412130209362
update
deviation 5/5   iterations 1830/2000   F1 0.5613219838837816   accuracy 0.6757105943152455   precision 0.5560475868025049   recall 0.5819557146896552
deviation 5/5   iterations 1840/2000   F1 0.5417410761662281   accuracy 0.6511627906976745   precision 0.541244390539721   recall 0.5628720431157436
deviation 5/5   iterations 1850/2000   F1 0.5375424826954266   accuracy 0.6511627906976745   precision 0.53836026121086   recall 0.5550903577639648
deviation 5/5   iterations 1860/2000   F1 0.5343657973076468   accuracy 0.6421188630490956   precision 0.5366963871362698   recall 0.5596145381428713
deviation 5/5   iterations 1870/2000   F1 0.5447472781738522   accuracy 0.6847545219638242   precision 0.5508752726094696   recall 0.5602568324678817
deviation 5/5   iterations 1880/2000   F1 0.5570827666859511   accuracy 0.6937984496124031   precision 0.5613772863772865   recall 0.5695667593810265
deviation 5/5   iterations 1890/2000   F1 0.5561798007554425   accuracy 0.6795865633074936   precision 0.5542306986720855   recall 0.5751168726443777
deviation 5/5   iterations 1900/2000   F1 0.5480931700338649   accuracy 0.6731266149870802   precision 0.5463063487575787   recall 0.5672608288839213
deviation 5/5   iterations 1910/2000   F1 0.551642457084739   accuracy 0.6679586563307494   precision 0.5474647714130504   recall 0.572474156763758
deviation 5/5   iterations 1920/2000   F1 0.5461701193203267   accuracy 0.686046511627907   precision 0.5529532243004729   recall 0.5618144648666358
deviation 5/5   iterations 1930/2000   F1 0.5535458245561297   accuracy 0.6912144702842378   precision 0.5543041245734576   recall 0.5655868628777655
deviation 5/5   iterations 1940/2000   F1 0.5350132752944945   accuracy 0.6821705426356589   precision 0.5678690092278482   recall 0.5611931991323923
deviation 5/5   iterations 1950/2000   F1 0.5521828692936407   accuracy 0.6886304909560723   precision 0.5512185583651598   recall 0.5667947566090238
deviation 5/5   iterations 1960/2000   F1 0.5413618324591146   accuracy 0.6757105943152455   precision 0.5394870289313548   recall 0.5564062228560039
deviation 5/5   iterations 1970/2000   F1 0.5463499140636016   accuracy 0.6744186046511628   precision 0.5497356745020295   recall 0.5678180660435481
deviation 5/5   iterations 1980/2000   F1 0.5528434769534056   accuracy 0.6705426356589147   precision 0.5490109542680108   recall 0.5721308947382531
deviation 5/5   iterations 1990/2000   F1 0.5488136546608308   accuracy 0.6744186046511628   precision 0.5501053587465903   recall 0.5644953027539091
deviation 5/5   iterations 2000/2000   F1 0.5417293848547092   accuracy 0.6589147286821705   precision 0.5398986204013377   recall 0.5623674799115471

0.5479472262297279
