deviation 1/5   iterations 10/2000   F1 0.37189677203932375   accuracy 0.4961340206185567   precision 0.41409492724058206   recall 0.4262707596117476
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deviation 1/5   iterations 20/2000   F1 0.3056821736271815   accuracy 0.4677835051546392   precision 0.36234121255774426   recall 0.38414413335988024
deviation 1/5   iterations 30/2000   F1 0.4352396263167199   accuracy 0.645618556701031   precision 0.45375941711173207   recall 0.4336770586364749
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deviation 1/5   iterations 40/2000   F1 0.48968128791803317   accuracy 0.6469072164948454   precision 0.4867904944802987   recall 0.49409026189001687
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deviation 1/5   iterations 50/2000   F1 0.48267413970986056   accuracy 0.6198453608247423   precision 0.5086233692321163   recall 0.48678233295915235
deviation 1/5   iterations 60/2000   F1 0.48729803920463777   accuracy 0.6146907216494846   precision 0.5182394956089186   recall 0.4936482479252094
deviation 1/5   iterations 70/2000   F1 0.4865768949836244   accuracy 0.5902061855670103   precision 0.5217307298289708   recall 0.5024419072886295
deviation 1/5   iterations 80/2000   F1 0.48575021154439263   accuracy 0.6121134020618557   precision 0.5189894761323334   recall 0.4976957131241422
deviation 1/5   iterations 90/2000   F1 0.5021773298604165   accuracy 0.6095360824742269   precision 0.516558349314582   recall 0.5171353700340101
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deviation 1/5   iterations 100/2000   F1 0.5135478155209589   accuracy 0.6314432989690721   precision 0.5289136493488754   recall 0.524109182660968
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deviation 1/5   iterations 110/2000   F1 0.5060912943265885   accuracy 0.6404639175257731   precision 0.5228550559072201   recall 0.5097783374884112
deviation 1/5   iterations 120/2000   F1 0.5079322841921949   accuracy 0.6610824742268041   precision 0.5157291277205625   recall 0.5065468636185781
deviation 1/5   iterations 130/2000   F1 0.5289363844293421   accuracy 0.6713917525773195   precision 0.5316086614181043   recall 0.5328762544120983
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deviation 1/5   iterations 140/2000   F1 0.5282601187341645   accuracy 0.6481958762886598   precision 0.5293019874188031   recall 0.5488618832579882
deviation 1/5   iterations 150/2000   F1 0.5301684153887544   accuracy 0.663659793814433   precision 0.5281238355794976   recall 0.5474359240579618
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deviation 1/5   iterations 160/2000   F1 0.5318444271987484   accuracy 0.6945876288659794   precision 0.5314265924357667   recall 0.5328381034278477
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deviation 1/5   iterations 170/2000   F1 0.5282697934940551   accuracy 0.6610824742268041   precision 0.5312686184888877   recall 0.5352582683199031
deviation 1/5   iterations 180/2000   F1 0.5074730328899477   accuracy 0.6198453608247423   precision 0.5309827594091553   recall 0.5215980580049682
deviation 1/5   iterations 190/2000   F1 0.4988740022031572   accuracy 0.5966494845360825   precision 0.5331901333776267   recall 0.5162056179258324
deviation 1/5   iterations 200/2000   F1 0.5106947081545699   accuracy 0.6095360824742269   precision 0.5344080091951339   recall 0.5317094938948247
deviation 1/5   iterations 210/2000   F1 0.5216993864049088   accuracy 0.6572164948453608   precision 0.527890148307385   recall 0.5262204345140594
deviation 1/5   iterations 220/2000   F1 0.5302162205651183   accuracy 0.6610824742268041   precision 0.5379773239614293   recall 0.5371610130328159
deviation 1/5   iterations 230/2000   F1 0.527663197940285   accuracy 0.6469072164948454   precision 0.5412698412698412   recall 0.5384197105003968
deviation 1/5   iterations 240/2000   F1 0.4842900788944465   accuracy 0.5644329896907216   precision 0.5173378527232061   recall 0.5090373452126622
deviation 1/5   iterations 250/2000   F1 0.5177836110129828   accuracy 0.6417525773195877   precision 0.5261555956920195   recall 0.5266950213576295
deviation 1/5   iterations 260/2000   F1 0.5197286005975588   accuracy 0.654639175257732   precision 0.5261553291413071   recall 0.5249298563413899
deviation 1/5   iterations 270/2000   F1 0.5261765103447118   accuracy 0.6662371134020618   precision 0.5284779776097072   recall 0.5319201997043197
deviation 1/5   iterations 280/2000   F1 0.495565521396286   accuracy 0.5966494845360825   precision 0.5138719157627819   recall 0.5138401347539995
deviation 1/5   iterations 290/2000   F1 0.4886655633127037   accuracy 0.5927835051546392   precision 0.5037858893469619   recall 0.5080525042232773
deviation 1/5   iterations 300/2000   F1 0.507444725255884   accuracy 0.6404639175257731   precision 0.5086800484721983   recall 0.5169524733197586
deviation 1/5   iterations 310/2000   F1 0.5221489751951892   accuracy 0.6649484536082474   precision 0.5206767397862658   recall 0.5299996213402843
deviation 1/5   iterations 320/2000   F1 0.4972047327206777   accuracy 0.6134020618556701   precision 0.5065534034805531   recall 0.5187473203717705
deviation 1/5   iterations 330/2000   F1 0.4993033579109281   accuracy 0.6095360824742269   precision 0.5110088285960379   recall 0.5202930256173476
deviation 1/5   iterations 340/2000   F1 0.5063976788845287   accuracy 0.6391752577319587   precision 0.5090934457432709   recall 0.5154020857228594
deviation 1/5   iterations 350/2000   F1 0.51671857017942   accuracy 0.6688144329896907   precision 0.5168273391832332   recall 0.5207244941126558
deviation 1/5   iterations 360/2000   F1 0.49817062247229843   accuracy 0.6494845360824743   precision 0.4973012646941484   recall 0.5074969330598841
deviation 1/5   iterations 370/2000   F1 0.49343151616933056   accuracy 0.5927835051546392   precision 0.5108686429413877   recall 0.5110917166762147
deviation 1/5   iterations 380/2000   F1 0.5014160299470359   accuracy 0.6056701030927835   precision 0.5146959169668898   recall 0.5220238262464928
deviation 1/5   iterations 390/2000   F1 0.511175094204707   accuracy 0.6301546391752577   precision 0.5203464755077659   recall 0.5213297796322603
deviation 1/5   iterations 400/2000   F1 0.47647037385622265   accuracy 0.5670103092783505   precision 0.5048840216868125   recall 0.49373261168120436
deviation 1/5   iterations 410/2000   F1 0.48409333584573827   accuracy 0.5824742268041238   precision 0.504709291992529   recall 0.5043301977865915
deviation 1/5   iterations 420/2000   F1 0.5083839463795117   accuracy 0.6559278350515464   precision 0.50790462526474   recall 0.5146676894550598
deviation 1/5   iterations 430/2000   F1 0.49126649282097007   accuracy 0.6121134020618557   precision 0.5047140928685431   recall 0.49848788553564677
deviation 1/5   iterations 440/2000   F1 0.4766429403611361   accuracy 0.5747422680412371   precision 0.5001073906408844   recall 0.49579414917808445
deviation 1/5   iterations 450/2000   F1 0.5009217664801252   accuracy 0.6301546391752577   precision 0.5099221508415624   recall 0.5063595695656936
deviation 1/5   iterations 460/2000   F1 0.4726787705048574   accuracy 0.5631443298969072   precision 0.514114120623535   recall 0.4878265380200821
deviation 1/5   iterations 470/2000   F1 0.46999540913871957   accuracy 0.5451030927835051   precision 0.5129185558252094   recall 0.49274467626833696
deviation 1/5   iterations 480/2000   F1 0.48622670803905765   accuracy 0.5850515463917526   precision 0.5255034426409191   recall 0.505872523595997
deviation 1/5   iterations 490/2000   F1 0.461507304983777   accuracy 0.5528350515463918   precision 0.5083183528080163   recall 0.46732382449570053
deviation 1/5   iterations 500/2000   F1 0.4726110061044923   accuracy 0.5644329896907216   precision 0.5064946955793812   recall 0.4847126115264832
deviation 1/5   iterations 510/2000   F1 0.5083382871736863   accuracy 0.6224226804123711   precision 0.5177482944245649   recall 0.5223333500269337
deviation 1/5   iterations 520/2000   F1 0.49090747869932333   accuracy 0.615979381443299   precision 0.5002540253928955   recall 0.5010512082298635
deviation 1/5   iterations 530/2000   F1 0.4889116989077511   accuracy 0.5979381443298969   precision 0.506425764390532   recall 0.4987952106467712
deviation 1/5   iterations 540/2000   F1 0.48456089365180266   accuracy 0.5876288659793815   precision 0.5084557744393184   recall 0.4952579995936533
deviation 1/5   iterations 550/2000   F1 0.4872821395438973   accuracy 0.5811855670103093   precision 0.5092604531623247   recall 0.5065852996155179
deviation 1/5   iterations 560/2000   F1 0.4920242097939533   accuracy 0.5992268041237113   precision 0.5050738050301107   recall 0.5081675679175058
deviation 1/5   iterations 570/2000   F1 0.5052618874008523   accuracy 0.6430412371134021   precision 0.5155305716248018   recall 0.5073559739270391
deviation 1/5   iterations 580/2000   F1 0.5068192890684052   accuracy 0.6494845360824743   precision 0.5077215945897945   recall 0.5188467490841931
deviation 1/5   iterations 590/2000   F1 0.49181629143472766   accuracy 0.6018041237113402   precision 0.5073269097912957   recall 0.505930299739702
deviation 1/5   iterations 600/2000   F1 0.49241120886282186   accuracy 0.5927835051546392   precision 0.5158502336771954   recall 0.5067050456610686
deviation 1/5   iterations 610/2000   F1 0.4994963536596641   accuracy 0.6237113402061856   precision 0.5142528321942582   recall 0.5029017549045595
deviation 1/5   iterations 620/2000   F1 0.48559366485171723   accuracy 0.5760309278350515   precision 0.509579505307511   recall 0.5080206235181884
deviation 1/5   iterations 630/2000   F1 0.48725988049140095   accuracy 0.5914948453608248   precision 0.5110808071921301   recall 0.4963813160338774
deviation 1/5   iterations 640/2000   F1 0.48697755631831613   accuracy 0.6005154639175257   precision 0.5013857061715338   recall 0.4974167671336396
deviation 1/5   iterations 650/2000   F1 0.47495981855685754   accuracy 0.5734536082474226   precision 0.5026392932280531   recall 0.48584061031802933
deviation 1/5   iterations 660/2000   F1 0.490039588948787   accuracy 0.5966494845360825   precision 0.506427300647679   recall 0.5043930634426032
deviation 1/5   iterations 670/2000   F1 0.48858175722582503   accuracy 0.5824742268041238   precision 0.5160285361195371   recall 0.5047003885537276
deviation 1/5   iterations 680/2000   F1 0.48464239024657774   accuracy 0.5747422680412371   precision 0.5109609887892191   recall 0.5049376819755125
deviation 1/5   iterations 690/2000   F1 0.5062190365153129   accuracy 0.6275773195876289   precision 0.511073356511505   recall 0.5197615583842387
deviation 1/5   iterations 700/2000   F1 0.5037955516683451   accuracy 0.6211340206185567   precision 0.5092452448679516   recall 0.5181139407442333
deviation 1/5   iterations 710/2000   F1 0.495621486764644   accuracy 0.6018041237113402   precision 0.5096111425053201   recall 0.5123122631595448
deviation 1/5   iterations 720/2000   F1 0.49603788754506156   accuracy 0.6056701030927835   precision 0.506912033930598   recall 0.5133430319079849
deviation 1/5   iterations 730/2000   F1 0.5005409822504394   accuracy 0.6069587628865979   precision 0.5222033641451349   recall 0.512687136278003
deviation 1/5   iterations 740/2000   F1 0.4927867153486207   accuracy 0.5760309278350515   precision 0.5227072310405644   recall 0.5207845503578742
deviation 1/5   iterations 750/2000   F1 0.5086307357697016   accuracy 0.6082474226804123   precision 0.5235370689916145   recall 0.5308328355790297
deviation 1/5   iterations 760/2000   F1 0.5040692828048113   accuracy 0.6056701030927835   precision 0.5200188211361908   recall 0.5229751986029493
deviation 1/5   iterations 770/2000   F1 0.5074779844677402   accuracy 0.6237113402061856   precision 0.5156808114725991   recall 0.5245574669049372
deviation 1/5   iterations 780/2000   F1 0.5127721837534377   accuracy 0.6623711340206185   precision 0.5107019532176889   recall 0.5190768764726504
deviation 1/5   iterations 790/2000   F1 0.5104337525059232   accuracy 0.6082474226804123   precision 0.5229005375548327   recall 0.53589323587528
deviation 1/5   iterations 800/2000   F1 0.5269713348466799   accuracy 0.654639175257732   precision 0.5303640192237685   recall 0.5370459493385873
deviation 1/5   iterations 810/2000   F1 0.4850651211146311   accuracy 0.5798969072164949   precision 0.5089028364445154   recall 0.5034098103810579
deviation 1/5   iterations 820/2000   F1 0.5114050912597629   accuracy 0.6327319587628866   precision 0.5217371325293804   recall 0.5209952561673692
deviation 1/5   iterations 830/2000   F1 0.49793830563550495   accuracy 0.6095360824742269   precision 0.505929077373834   recall 0.5170428223422262
deviation 1/5   iterations 840/2000   F1 0.5300696502896752   accuracy 0.6533505154639175   precision 0.5303482857246298   recall 0.5515355872951115
deviation 1/5   iterations 850/2000   F1 0.5004395280591234   accuracy 0.6108247422680413   precision 0.5142836804684555   recall 0.5128590803617706
deviation 1/5   iterations 860/2000   F1 0.5145913564398802   accuracy 0.634020618556701   precision 0.5181816887617258   recall 0.5326664443567691
deviation 1/5   iterations 870/2000   F1 0.5077208521185205   accuracy 0.6288659793814433   precision 0.5116266405139273   recall 0.527997447914949
deviation 1/5   iterations 880/2000   F1 0.5106707960241518   accuracy 0.6224226804123711   precision 0.5210276141456122   recall 0.5269051164256477
deviation 1/5   iterations 890/2000   F1 0.5197790786269515   accuracy 0.6301546391752577   precision 0.5304813794945279   recall 0.5362999896988271
deviation 1/5   iterations 900/2000   F1 0.509451276692656   accuracy 0.625   precision 0.5186785297861644   recall 0.5237164758913874
deviation 1/5   iterations 910/2000   F1 0.48898442401781805   accuracy 0.604381443298969   precision 0.5034476352828045   recall 0.4987251789574318
deviation 1/5   iterations 920/2000   F1 0.5046539120828947   accuracy 0.6211340206185567   precision 0.5119539349056023   recall 0.5181139407442333
deviation 1/5   iterations 930/2000   F1 0.5093868620232324   accuracy 0.6108247422680413   precision 0.5238975969028847   recall 0.531264589087027
deviation 1/5   iterations 940/2000   F1 0.5060769547787644   accuracy 0.6481958762886598   precision 0.5068425093642316   recall 0.5241669588046731
deviation 1/5   iterations 950/2000   F1 0.5151794727616572   accuracy 0.6224226804123711   precision 0.5267520514526502   recall 0.5338682614348108
deviation 1/5   iterations 960/2000   F1 0.5000252526991692   accuracy 0.6108247422680413   precision 0.5094528836433242   recall 0.5162943790204603
deviation 1/5   iterations 970/2000   F1 0.5254460285925753   accuracy 0.6481958762886598   precision 0.5248574915923285   recall 0.5405512796866163
deviation 1/5   iterations 980/2000   F1 0.5170897255694445   accuracy 0.6365979381443299   precision 0.5242802295139456   recall 0.5300330899732129
deviation 1/5   iterations 990/2000   F1 0.5076701338493791   accuracy 0.6030927835051546   precision 0.532731211513744   recall 0.5282516792336904
deviation 1/5   iterations 1000/2000   F1 0.4911398158889333   accuracy 0.5914948453608248   precision 0.5051967490592695   recall 0.5144166339919977
deviation 1/5   iterations 1010/2000   F1 0.5069009253194566   accuracy 0.6237113402061856   precision 0.5153291674642894   recall 0.5205409866569274
deviation 1/5   iterations 1020/2000   F1 0.5088523429794606   accuracy 0.6404639175257731   precision 0.5091996891996892   recall 0.5238230706371377
deviation 1/5   iterations 1030/2000   F1 0.4779949844690525   accuracy 0.6146907216494846   precision 0.4820604918644134   recall 0.4923525802402331
deviation 1/5   iterations 1040/2000   F1 0.4808774434050183   accuracy 0.5644329896907216   precision 0.5118129262384042   recall 0.5095000836715823
deviation 1/5   iterations 1050/2000   F1 0.4984781545941295   accuracy 0.6056701030927835   precision 0.5126139030096813   recall 0.5127618503186645
deviation 1/5   iterations 1060/2000   F1 0.5015019594879649   accuracy 0.6198453608247423   precision 0.5107169921488554   recall 0.5131282544886445
deviation 1/5   iterations 1070/2000   F1 0.4975564410763947   accuracy 0.6030927835051546   precision 0.517087775127247   recall 0.5133740168589077
deviation 1/5   iterations 1080/2000   F1 0.4935840692119832   accuracy 0.6108247422680413   precision 0.5010278083072192   recall 0.5081947662712727
deviation 1/5   iterations 1090/2000   F1 0.5003734070892603   accuracy 0.6314432989690721   precision 0.5068073925690137   recall 0.5079099571625928
deviation 1/5   iterations 1100/2000   F1 0.49929182597956673   accuracy 0.6211340206185567   precision 0.5076193409622453   recall 0.5102919710703977
deviation 1/5   iterations 1110/2000   F1 0.4746132598351906   accuracy 0.6018041237113402   precision 0.4845373234426085   recall 0.4975530439151623
deviation 1/5   iterations 1120/2000   F1 0.49822306042380665   accuracy 0.6365979381443299   precision 0.49921372555643656   recall 0.5120236674537089
deviation 1/5   iterations 1130/2000   F1 0.5012215148386486   accuracy 0.6082474226804123   precision 0.5194521742246002   recall 0.515955173204247
deviation 1/5   iterations 1140/2000   F1 0.5246342876092279   accuracy 0.6559278350515464   precision 0.523212270852603   recall 0.5383186938601345
deviation 1/5   iterations 1150/2000   F1 0.4752867428708501   accuracy 0.5811855670103093   precision 0.4966342991116794   recall 0.4874135139173732
deviation 1/5   iterations 1160/2000   F1 0.5018131812541725   accuracy 0.6365979381443299   precision 0.5022780698974255   recall 0.5172691631335272
deviation 1/5   iterations 1170/2000   F1 0.4798518693161966   accuracy 0.5850515463917526   precision 0.4962911874521232   recall 0.49779880628542555
deviation 1/5   iterations 1180/2000   F1 0.49708140370740644   accuracy 0.6288659793814433   precision 0.5068820611478904   recall 0.5024178033583452
deviation 1/5   iterations 1190/2000   F1 0.5012183193998642   accuracy 0.6172680412371134   precision 0.5061681314299628   recall 0.5227247538813639
deviation 1/5   iterations 1200/2000   F1 0.49589860185815793   accuracy 0.6146907216494846   precision 0.5101337602572632   recall 0.5053016024634868
deviation 1/5   iterations 1210/2000   F1 0.4958221946128491   accuracy 0.6082474226804123   precision 0.507660181197742   recall 0.5104320344490766
deviation 1/5   iterations 1220/2000   F1 0.5072873982257868   accuracy 0.6211340206185567   precision 0.5129183187528975   recall 0.5275610120556297
deviation 1/5   iterations 1230/2000   F1 0.4971365382603521   accuracy 0.5992268041237113   precision 0.511629949982562   recall 0.51721855302315
deviation 1/5   iterations 1240/2000   F1 0.5095644342950431   accuracy 0.6533505154639175   precision 0.511516832447065   recall 0.5286508598629251
deviation 1/5   iterations 1250/2000   F1 0.5134665940573755   accuracy 0.645618556701031   precision 0.515045914515254   recall 0.5291657963600622
deviation 1/5   iterations 1260/2000   F1 0.5246070768380903   accuracy 0.6623711340206185   precision 0.5222233285392927   recall 0.535672188176778
deviation 1/5   iterations 1270/2000   F1 0.46610052242585304   accuracy 0.5425257731958762   precision 0.5072516166960611   recall 0.49430821516503665
deviation 1/5   iterations 1280/2000   F1 0.4954918530709582   accuracy 0.6237113402061856   precision 0.5013302761718759   recall 0.5205668820955435
deviation 1/5   iterations 1290/2000   F1 0.49633567982971677   accuracy 0.6005154639175257   precision 0.5156278030856366   recall 0.5128497156591264
deviation 1/5   iterations 1300/2000   F1 0.4881420611509107   accuracy 0.595360824742268   precision 0.5035960071878828   recall 0.5018913034892475
deviation 1/5   iterations 1310/2000   F1 0.510586398628161   accuracy 0.645618556701031   precision 0.5112925888418606   recall 0.526496774674261
deviation 1/5   iterations 1320/2000   F1 0.5008302163811477   accuracy 0.6172680412371134   precision 0.5046690561529271   recall 0.518523178249786
deviation 1/5   iterations 1330/2000   F1 0.5021460808694851   accuracy 0.6095360824742269   precision 0.5117113301239006   recall 0.5207557640762678
deviation 1/5   iterations 1340/2000   F1 0.49993400316199227   accuracy 0.6146907216494846   precision 0.5080855684006472   recall 0.5140749444937788
deviation 1/5   iterations 1350/2000   F1 0.48894013741309905   accuracy 0.604381443298969   precision 0.5008856872933397   recall 0.5071283302205877
deviation 1/5   iterations 1360/2000   F1 0.49676977504031256   accuracy 0.625   precision 0.4999074987153062   recall 0.5112301921270538
deviation 1/5   iterations 1370/2000   F1 0.496295715271767   accuracy 0.6172680412371134   precision 0.5007588718795487   recall 0.5115600332406228
deviation 1/5   iterations 1380/2000   F1 0.4929081626042399   accuracy 0.6095360824742269   precision 0.501867397741501   recall 0.5058781017014851
deviation 1/5   iterations 1390/2000   F1 0.48780739676883494   accuracy 0.6108247422680413   precision 0.4979051641528441   recall 0.5120261511357145
deviation 1/5   iterations 1400/2000   F1 0.4998807928225328   accuracy 0.595360824742268   precision 0.5242473124238901   recall 0.5224772000027688
deviation 1/5   iterations 1410/2000   F1 0.4985698882893956   accuracy 0.615979381443299   precision 0.5055163436908342   recall 0.5120049380484204
deviation 1/5   iterations 1420/2000   F1 0.49732576522098704   accuracy 0.634020618556701   precision 0.5011850513304003   recall 0.5182774158795227
deviation 1/5   iterations 1430/2000   F1 0.4939377625105026   accuracy 0.6224226804123711   precision 0.49883256388145164   recall 0.5063192199121266
deviation 1/5   iterations 1440/2000   F1 0.4822376790747742   accuracy 0.5721649484536082   precision 0.5105327122743559   recall 0.5010706298088257
deviation 1/5   iterations 1450/2000   F1 0.5047098895936105   accuracy 0.6391752577319587   precision 0.5072174673788995   recall 0.5220875876566705
deviation 1/5   iterations 1460/2000   F1 0.5184611845626502   accuracy 0.6623711340206185   precision 0.5170749152525298   recall 0.5319592464427362
deviation 1/5   iterations 1470/2000   F1 0.4895774013333518   accuracy 0.6108247422680413   precision 0.49763431013431014   recall 0.5104010494981538
deviation 1/5   iterations 1480/2000   F1 0.48359370376945376   accuracy 0.615979381443299   precision 0.48803104458858776   recall 0.5000998358734071
deviation 1/5   iterations 1490/2000   F1 0.48676514828533834   accuracy 0.6134020618556701   precision 0.4936626675995142   recall 0.5056798550181166
deviation 1/5   iterations 1500/2000   F1 0.49570185710105946   accuracy 0.6262886597938144   precision 0.501538708444402   recall 0.508301361017023
deviation 1/5   iterations 1510/2000   F1 0.5145962642422123   accuracy 0.6404639175257731   precision 0.5160978835978837   recall 0.526677187706507
deviation 1/5   iterations 1520/2000   F1 0.5007181667847862   accuracy 0.6185567010309279   precision 0.506055359246172   recall 0.5183559165173404
deviation 1/5   iterations 1530/2000   F1 0.49038620853446074   accuracy 0.6146907216494846   precision 0.49553839553839557   recall 0.5065565133339115
deviation 1/5   iterations 1540/2000   F1 0.4992190682541901   accuracy 0.6134020618556701   precision 0.5055213193093641   recall 0.5223677144140281
deviation 1/5   iterations 1550/2000   F1 0.5006038055691635   accuracy 0.6005154639175257   precision 0.5152147597335387   recall 0.5224818823540908
deviation 1/5   iterations 1560/2000   F1 0.48184389997904375   accuracy 0.6005154639175257   precision 0.49039325990378807   recall 0.5040097213756667
deviation 1/5   iterations 1570/2000   F1 0.4748411033525802   accuracy 0.5786082474226805   precision 0.4867453413522198   recall 0.49863511494765334
deviation 1/5   iterations 1580/2000   F1 0.4923394066712712   accuracy 0.6237113402061856   precision 0.4953861699490953   recall 0.4994664562458699
deviation 1/5   iterations 1590/2000   F1 0.47776391757470466   accuracy 0.5670103092783505   precision 0.5052510475588917   recall 0.5029686921704164
deviation 1/5   iterations 1600/2000   F1 0.5080705678714524   accuracy 0.6533505154639175   precision 0.5072778891840736   recall 0.5159535852764073
deviation 1/5   iterations 1610/2000   F1 0.5072777769200552   accuracy 0.6198453608247423   precision 0.5109650561614245   recall 0.5261957198422984
deviation 1/5   iterations 1620/2000   F1 0.49197758874999953   accuracy 0.6224226804123711   precision 0.4931391409829778   recall 0.5054603952474541
deviation 1/5   iterations 1630/2000   F1 0.5029526206115477   accuracy 0.6275773195876289   precision 0.5063264013118665   recall 0.5153748873690926
deviation 1/5   iterations 1640/2000   F1 0.5044335725426567   accuracy 0.6288659793814433   precision 0.5071253132659467   recall 0.5170178226577758
deviation 1/5   iterations 1650/2000   F1 0.4805039752802696   accuracy 0.5992268041237113   precision 0.4860553298359771   recall 0.4966326565096288
deviation 1/5   iterations 1660/2000   F1 0.4855776921846351   accuracy 0.6005154639175257   precision 0.4939826601783595   recall 0.5067712907532519
deviation 1/5   iterations 1670/2000   F1 0.48600370440508084   accuracy 0.6134020618556701   precision 0.49053129277093444   recall 0.4989943530843055
deviation 1/5   iterations 1680/2000   F1 0.4836681079350285   accuracy 0.6069587628865979   precision 0.4929064059875477   recall 0.5014557633840941
deviation 1/5   iterations 1690/2000   F1 0.5004471129930789   accuracy 0.6301546391752577   precision 0.5017824934294531   recall 0.5098874159161672
deviation 1/5   iterations 1700/2000   F1 0.4845880281184864   accuracy 0.6108247422680413   precision 0.48990112410307846   recall 0.5009539781867575
deviation 1/5   iterations 1710/2000   F1 0.49251471815913755   accuracy 0.6378865979381443   precision 0.4943209011472116   recall 0.5073771870143332
deviation 1/5   iterations 1720/2000   F1 0.505511878880467   accuracy 0.6108247422680413   precision 0.5174280277442729   recall 0.5223986993649511
deviation 1/5   iterations 1730/2000   F1 0.49575787619127326   accuracy 0.6288659793814433   precision 0.4984851383852967   recall 0.5122609608754939
deviation 1/5   iterations 1740/2000   F1 0.4944992102336135   accuracy 0.5889175257731959   precision 0.5122856802242728   recall 0.5188342899580665
deviation 1/5   iterations 1750/2000   F1 0.4857270808332353   accuracy 0.6095360824742269   precision 0.4898407875908162   recall 0.49872986130875385
deviation 1/5   iterations 1760/2000   F1 0.5172478624826536   accuracy 0.6533505154639175   precision 0.5162432934631245   recall 0.5298798752947337
deviation 1/5   iterations 1770/2000   F1 0.5030095865650811   accuracy 0.6301546391752577   precision 0.5064503525148686   recall 0.5208670411733403
deviation 1/5   iterations 1780/2000   F1 0.5020918572022759   accuracy 0.6378865979381443   precision 0.5035899746420134   recall 0.517960726065754
deviation 1/5   iterations 1790/2000   F1 0.508387752350131   accuracy 0.6365979381443299   precision 0.5095498778039732   recall 0.5187758216406877
deviation 1/5   iterations 1800/2000   F1 0.4665642010281245   accuracy 0.5592783505154639   precision 0.48748927498927497   recall 0.48700676009382615
deviation 1/5   iterations 1810/2000   F1 0.49307955962800554   accuracy 0.5876288659793815   precision 0.5245180277151313   recall 0.5195568378412162
deviation 1/5   iterations 1820/2000   F1 0.5023399673978216   accuracy 0.6288659793814433   precision 0.5068069156541006   recall 0.5184578289117686
deviation 1/5   iterations 1830/2000   F1 0.520062733308796   accuracy 0.6559278350515464   precision 0.5178036390087835   recall 0.5281053455758499
deviation 1/5   iterations 1840/2000   F1 0.5134898520054022   accuracy 0.634020618556701   precision 0.5149393980305621   recall 0.530182518054536
deviation 1/5   iterations 1850/2000   F1 0.4840705710270928   accuracy 0.6082474226804123   precision 0.48982953065696083   recall 0.49957085232230375
deviation 1/5   iterations 1860/2000   F1 0.5066213596773205   accuracy 0.6353092783505154   precision 0.5079522822981408   recall 0.516181513995548
deviation 1/5   iterations 1870/2000   F1 0.48513042488260666   accuracy 0.5914948453608248   precision 0.49500521475997417   recall 0.5016268117136958
deviation 1/5   iterations 1880/2000   F1 0.48317583716935736   accuracy 0.5927835051546392   precision 0.49080378250591017   recall 0.49879052829544906
deviation 1/5   iterations 1890/2000   F1 0.5106999127486587   accuracy 0.6417525773195877   precision 0.5095204955905673   recall 0.521264430294243
deviation 1/5   iterations 1900/2000   F1 0.4918305522182174   accuracy 0.5914948453608248   precision 0.5026090921364821   recall 0.5162268310131265
deviation 1/5   iterations 1910/2000   F1 0.5148620906213136   accuracy 0.6430412371134021   precision 0.5144632989251047   recall 0.5296854152085214
deviation 1/5   iterations 1920/2000   F1 0.49623972758042956   accuracy 0.6211340206185567   precision 0.49714578797914477   recall 0.5093405987139413
deviation 1/5   iterations 1930/2000   F1 0.5095759725666383   accuracy 0.634020618556701   precision 0.513424258381276   recall 0.5248444746829336
deviation 1/5   iterations 1940/2000   F1 0.5200313873195229   accuracy 0.6597938144329897   precision 0.517779619452832   recall 0.5299023912971782
deviation 1/5   iterations 1950/2000   F1 0.5152178957801924   accuracy 0.6572164948453608   precision 0.5164330387590149   recall 0.5333945703454069
deviation 1/5   iterations 1960/2000   F1 0.5130170082087775   accuracy 0.6417525773195877   precision 0.5126046506452174   recall 0.5280424799198381
deviation 1/5   iterations 1970/2000   F1 0.49119777747580434   accuracy 0.595360824742268   precision 0.5026044731618137   recall 0.513822301102877
deviation 1/5   iterations 1980/2000   F1 0.4933829692493059   accuracy 0.6121134020618557   precision 0.5082569734492327   recall 0.5042886673661693
deviation 1/5   iterations 1990/2000   F1 0.49941309964629416   accuracy 0.625   precision 0.5075562982414259   recall 0.5073988072626119
deviation 1/5   iterations 2000/2000   F1 0.5120323752469568   accuracy 0.6365979381443299   precision 0.514966832504146   recall 0.5239287696287221

deviation 2/5   iterations 10/2000   F1 0.2686920812853676   accuracy 0.3135483870967742   precision 0.4264425743672642   recall 0.3578700319838652
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deviation 2/5   iterations 20/2000   F1 0.4546429076188457   accuracy 0.5780645161290323   precision 0.4591265431048712   recall 0.46159694504754056
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deviation 2/5   iterations 30/2000   F1 0.4303028320404101   accuracy 0.5419354838709678   precision 0.4603624757133529   recall 0.4436713687710044
deviation 2/5   iterations 40/2000   F1 0.46595027498289276   accuracy 0.6038709677419355   precision 0.47007993966817496   recall 0.46843607947549537
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deviation 2/5   iterations 50/2000   F1 0.48225173628081325   accuracy 0.6219354838709678   precision 0.4894339669226184   recall 0.4833779458101987
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deviation 2/5   iterations 60/2000   F1 0.5032723317827767   accuracy 0.6180645161290322   precision 0.5019864252111503   recall 0.5179324485451162
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deviation 2/5   iterations 70/2000   F1 0.5012620117131088   accuracy 0.607741935483871   precision 0.5057504759009547   recall 0.5186531368060869
deviation 2/5   iterations 80/2000   F1 0.48471503572714686   accuracy 0.5690322580645162   precision 0.5111596340646619   recall 0.512335476663003
deviation 2/5   iterations 90/2000   F1 0.5078643731521342   accuracy 0.632258064516129   precision 0.517827248541311   recall 0.5162035821209098
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deviation 2/5   iterations 100/2000   F1 0.5085959037612521   accuracy 0.6206451612903225   precision 0.5268415434492925   recall 0.5214926927331813
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deviation 2/5   iterations 110/2000   F1 0.5203407930169933   accuracy 0.6451612903225806   precision 0.5161948131677261   recall 0.5348627730683648
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deviation 2/5   iterations 120/2000   F1 0.49769194536033917   accuracy 0.6154838709677419   precision 0.5003594618410768   recall 0.518829688658417
deviation 2/5   iterations 130/2000   F1 0.5202664601385152   accuracy 0.6425806451612903   precision 0.5208701932533389   recall 0.531072144257426
deviation 2/5   iterations 140/2000   F1 0.5221538241515097   accuracy 0.6516129032258065   precision 0.5193011853533394   recall 0.5323216699481749
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deviation 2/5   iterations 150/2000   F1 0.5112637398885865   accuracy 0.6412903225806451   precision 0.5087790486899116   recall 0.5248663221042101
deviation 2/5   iterations 160/2000   F1 0.5020977304434561   accuracy 0.6270967741935484   precision 0.5033250795015916   recall 0.5163930603831879
deviation 2/5   iterations 170/2000   F1 0.4947920616570623   accuracy 0.6180645161290322   precision 0.4967423631944647   recall 0.5106224819067077
deviation 2/5   iterations 180/2000   F1 0.5156747948619659   accuracy 0.6309677419354839   precision 0.5302267288304994   recall 0.5251023518048459
deviation 2/5   iterations 190/2000   F1 0.5004218528325453   accuracy 0.6012903225806452   precision 0.5377974188974918   recall 0.5120488867006713
deviation 2/5   iterations 200/2000   F1 0.5106738088888979   accuracy 0.5961290322580645   precision 0.5387963685777893   recall 0.5355189929050371
deviation 2/5   iterations 210/2000   F1 0.5115786868964295   accuracy 0.6167741935483871   precision 0.5219092469092469   recall 0.5278879931486755
deviation 2/5   iterations 220/2000   F1 0.5111928913216288   accuracy 0.6258064516129033   precision 0.5137010918749927   recall 0.5366143016163413
deviation 2/5   iterations 230/2000   F1 0.5229004397816986   accuracy 0.6348387096774194   precision 0.526053058580629   recall 0.5408434466128633
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deviation 2/5   iterations 240/2000   F1 0.5142303188705996   accuracy 0.6116129032258064   precision 0.5248107653490328   recall 0.537437419404243
deviation 2/5   iterations 250/2000   F1 0.5182871572871574   accuracy 0.6258064516129033   precision 0.5303378205587258   recall 0.5327925021586286
deviation 2/5   iterations 260/2000   F1 0.5251258598714442   accuracy 0.64   precision 0.525536941733471   recall 0.5410750584265548
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deviation 2/5   iterations 270/2000   F1 0.5242924558159933   accuracy 0.6490322580645161   precision 0.5222845758432947   recall 0.5421338786642077
deviation 2/5   iterations 280/2000   F1 0.5165927688346664   accuracy 0.6180645161290322   precision 0.5221955085394739   recall 0.5389088211948617
deviation 2/5   iterations 290/2000   F1 0.5380876579965569   accuracy 0.6529032258064517   precision 0.5358861366967986   recall 0.554982811965405
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deviation 2/5   iterations 300/2000   F1 0.5162424657255614   accuracy 0.6270967741935484   precision 0.5402862549305373   recall 0.5311401306287357
deviation 2/5   iterations 310/2000   F1 0.5244426526884641   accuracy 0.6206451612903225   precision 0.5344655363533137   recall 0.5484044146798857
deviation 2/5   iterations 320/2000   F1 0.5266079588771565   accuracy 0.6296774193548387   precision 0.5303308048823405   recall 0.5495268034019039
deviation 2/5   iterations 330/2000   F1 0.526167124412517   accuracy 0.6490322580645161   precision 0.52627343064529   recall 0.5405288766998843
deviation 2/5   iterations 340/2000   F1 0.5204120326335158   accuracy 0.6270967741935484   precision 0.5316467451280714   recall 0.5351526355395443
deviation 2/5   iterations 350/2000   F1 0.5093216921016097   accuracy 0.6335483870967742   precision 0.5119233851007241   recall 0.5250472918434844
deviation 2/5   iterations 360/2000   F1 0.5124654310799422   accuracy 0.6335483870967742   precision 0.5135112705580042   recall 0.5286387066783234
deviation 2/5   iterations 370/2000   F1 0.5344787108951164   accuracy 0.6567741935483871   precision 0.5335844318895167   recall 0.547403599661557
deviation 2/5   iterations 380/2000   F1 0.53925170563777   accuracy 0.6709677419354839   precision 0.5385086367691184   recall 0.5471525982329434
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deviation 2/5   iterations 390/2000   F1 0.5184313318746767   accuracy 0.6258064516129033   precision 0.5380155117860036   recall 0.5320535696608323
deviation 2/5   iterations 400/2000   F1 0.49586762617096314   accuracy 0.5754838709677419   precision 0.5427163797344893   recall 0.5202507756255033
deviation 2/5   iterations 410/2000   F1 0.502115090966041   accuracy 0.5974193548387097   precision 0.5169094615227211   recall 0.5218448964979082
deviation 2/5   iterations 420/2000   F1 0.5052421643054247   accuracy 0.5870967741935483   precision 0.532429414500337   recall 0.5304873469263534
deviation 2/5   iterations 430/2000   F1 0.5124049238536285   accuracy 0.6051612903225806   precision 0.5317703441434406   recall 0.5331771037609472
deviation 2/5   iterations 440/2000   F1 0.5078851109168049   accuracy 0.607741935483871   precision 0.5156764720444397   recall 0.5341788187192088
deviation 2/5   iterations 450/2000   F1 0.5151435434541353   accuracy 0.632258064516129   precision 0.5164481376261403   recall 0.5358053374292053
deviation 2/5   iterations 460/2000   F1 0.5178910138598652   accuracy 0.6167741935483871   precision 0.5399475922872944   recall 0.5350708228183533
deviation 2/5   iterations 470/2000   F1 0.5174041138526014   accuracy 0.6116129032258064   precision 0.5327560826384805   recall 0.5392331268216625
deviation 2/5   iterations 480/2000   F1 0.505044547316474   accuracy 0.5832258064516129   precision 0.5245368797159079   recall 0.54400190852716
deviation 2/5   iterations 490/2000   F1 0.5076526363670246   accuracy 0.5974193548387097   precision 0.5257196611446955   recall 0.5332945050158561
deviation 2/5   iterations 500/2000   F1 0.5258859247427415   accuracy 0.64   precision 0.5266446535456478   recall 0.5427436288752436
deviation 2/5   iterations 510/2000   F1 0.5214713866829229   accuracy 0.6335483870967742   precision 0.521939393939394   recall 0.5426865235958523
deviation 2/5   iterations 520/2000   F1 0.5041792138794288   accuracy 0.6012903225806452   precision 0.5154373221679891   recall 0.5367199218393987
deviation 2/5   iterations 530/2000   F1 0.5167392698149287   accuracy 0.64   precision 0.5171160054634631   recall 0.5337650917881464
deviation 2/5   iterations 540/2000   F1 0.5207165892315923   accuracy 0.6464516129032258   precision 0.518974381961002   recall 0.5380889759158075
deviation 2/5   iterations 550/2000   F1 0.5188795792835973   accuracy 0.6425806451612903   precision 0.5179729382810013   recall 0.5377464260521811
deviation 2/5   iterations 560/2000   F1 0.5116573100178045   accuracy 0.6245161290322581   precision 0.5137660364931967   recall 0.5333880987688985
deviation 2/5   iterations 570/2000   F1 0.516901736256575   accuracy 0.6309677419354839   precision 0.5205838824660415   recall 0.532642703066128
deviation 2/5   iterations 580/2000   F1 0.5116663089148955   accuracy 0.6245161290322581   precision 0.5161796054701397   recall 0.5299873893871556
deviation 2/5   iterations 590/2000   F1 0.4944304839990592   accuracy 0.6141935483870967   precision 0.5001216204215216   recall 0.5172084877752977
deviation 2/5   iterations 600/2000   F1 0.4980289557892701   accuracy 0.5987096774193549   precision 0.5082546416349163   recall 0.5248803938922549
deviation 2/5   iterations 610/2000   F1 0.5036603212260572   accuracy 0.5832258064516129   precision 0.534368081863764   recall 0.5339269173506619
deviation 2/5   iterations 620/2000   F1 0.5113477191992474   accuracy 0.6129032258064516   precision 0.5197815840332777   recall 0.5360154324972236
deviation 2/5   iterations 630/2000   F1 0.5256531936944308   accuracy 0.64   precision 0.5277330480363315   recall 0.5460807697726212
deviation 2/5   iterations 640/2000   F1 0.5159783908058889   accuracy 0.6270967741935484   precision 0.5206429559486988   recall 0.5374330015172988
deviation 2/5   iterations 650/2000   F1 0.5087502739425817   accuracy 0.6154838709677419   precision 0.5152579645271524   recall 0.5296039331629339
deviation 2/5   iterations 660/2000   F1 0.505074153671511   accuracy 0.6490322580645161   precision 0.5047089775419823   recall 0.5252335794096361
deviation 2/5   iterations 670/2000   F1 0.5054227001352377   accuracy 0.6219354838709678   precision 0.5099035849801995   recall 0.5232807097548089
deviation 2/5   iterations 680/2000   F1 0.5087114178284146   accuracy 0.6141935483870967   precision 0.5163941299790357   recall 0.529778439697234
deviation 2/5   iterations 690/2000   F1 0.5029129114253854   accuracy 0.5909677419354838   precision 0.5288023754029666   recall 0.5220420651559784
deviation 2/5   iterations 700/2000   F1 0.5046458583433373   accuracy 0.6258064516129033   precision 0.5076779986075338   recall 0.5243621921162317
deviation 2/5   iterations 710/2000   F1 0.4950546386539251   accuracy 0.6   precision 0.5037481217652624   recall 0.5211144725231157
deviation 2/5   iterations 720/2000   F1 0.5130936857851899   accuracy 0.6361290322580645   precision 0.5137011800593649   recall 0.5308243335249387
deviation 2/5   iterations 730/2000   F1 0.5137392500859993   accuracy 0.6232258064516129   precision 0.519896729717333   recall 0.5328236728054024
deviation 2/5   iterations 740/2000   F1 0.48897192353625907   accuracy 0.5754838709677419   precision 0.506120998109151   recall 0.5213472297149039
deviation 2/5   iterations 750/2000   F1 0.5080333677846413   accuracy 0.607741935483871   precision 0.5168949771689498   recall 0.5358473891678975
deviation 2/5   iterations 760/2000   F1 0.5254090695616012   accuracy 0.6516129032258065   precision 0.5244959061514259   recall 0.5400527266625531
deviation 2/5   iterations 770/2000   F1 0.5102597472863953   accuracy 0.6141935483870967   precision 0.5172553020136722   recall 0.5307716461324917
deviation 2/5   iterations 780/2000   F1 0.49971628661157136   accuracy 0.5974193548387097   precision 0.5191892164010145   recall 0.5176416861340036
deviation 2/5   iterations 790/2000   F1 0.5087068273092369   accuracy 0.6116129032258064   precision 0.5158990149819204   recall 0.5344578000984698
deviation 2/5   iterations 800/2000   F1 0.5179372020464434   accuracy 0.6296774193548387   precision 0.521159386729578   recall 0.5422804052478606
deviation 2/5   iterations 810/2000   F1 0.5169542425346002   accuracy 0.6141935483870967   precision 0.5282642921667312   recall 0.5387569767843313
deviation 2/5   iterations 820/2000   F1 0.5054450396451527   accuracy 0.6012903225806452   precision 0.5181592074381448   recall 0.5285042065646856
deviation 2/5   iterations 830/2000   F1 0.4990056575893555   accuracy 0.607741935483871   precision 0.5079625565632829   recall 0.5243342121655844
deviation 2/5   iterations 840/2000   F1 0.5149308444178562   accuracy 0.6232258064516129   precision 0.5200091180056234   recall 0.5379565211201994
deviation 2/5   iterations 850/2000   F1 0.5150915264471972   accuracy 0.6141935483870967   precision 0.53210060720268   recall 0.5372791117887386
deviation 2/5   iterations 860/2000   F1 0.491288948734048   accuracy 0.5858064516129032   precision 0.5085451647601703   recall 0.5144369182195131
deviation 2/5   iterations 870/2000   F1 0.5018612080538287   accuracy 0.5961290322580645   precision 0.5149261495563208   recall 0.5262861818804785
deviation 2/5   iterations 880/2000   F1 0.5027476189130629   accuracy 0.6206451612903225   precision 0.5070638081833853   recall 0.5276584266530137
deviation 2/5   iterations 890/2000   F1 0.5172347602146458   accuracy 0.6193548387096774   precision 0.5236018761489653   recall 0.5396003841270886
deviation 2/5   iterations 900/2000   F1 0.5123591623769541   accuracy 0.6283870967741936   precision 0.5152608147037117   recall 0.5371313580142678
deviation 2/5   iterations 910/2000   F1 0.5043157354943822   accuracy 0.6283870967741936   precision 0.5059729500070812   recall 0.5265478189628471
deviation 2/5   iterations 920/2000   F1 0.5044907920194975   accuracy 0.6206451612903225   precision 0.5081047021997426   recall 0.5226527153069473
deviation 2/5   iterations 930/2000   F1 0.5034829948291487   accuracy 0.6116129032258064   precision 0.5104770362211101   recall 0.5231353285492526
deviation 2/5   iterations 940/2000   F1 0.49569370935710144   accuracy 0.5870967741935483   precision 0.5116493609166768   recall 0.5197131024218365
deviation 2/5   iterations 950/2000   F1 0.5068719330461691   accuracy 0.6464516129032258   precision 0.5118321718931474   recall 0.5282443693621831
deviation 2/5   iterations 960/2000   F1 0.46856471369365194   accuracy 0.5251612903225806   precision 0.519312914393006   recall 0.4992787390499808
deviation 2/5   iterations 970/2000   F1 0.4978374226929141   accuracy 0.6296774193548387   precision 0.4991861411463783   recall 0.5175854807945455
deviation 2/5   iterations 980/2000   F1 0.5178369540659596   accuracy 0.6258064516129033   precision 0.5195740729680826   recall 0.5395303524377492
deviation 2/5   iterations 990/2000   F1 0.4981581043409   accuracy 0.5896774193548387   precision 0.5122310200344177   recall 0.5254265756189255
deviation 2/5   iterations 1000/2000   F1 0.5023441105070722   accuracy 0.6283870967741936   precision 0.5033492822966507   recall 0.5196192632306306
deviation 2/5   iterations 1010/2000   F1 0.4965083793524408   accuracy 0.6258064516129033   precision 0.5012974418190218   recall 0.5207072087970274
deviation 2/5   iterations 1020/2000   F1 0.504983538298376   accuracy 0.6219354838709678   precision 0.5067948291124585   recall 0.525012848687863
deviation 2/5   iterations 1030/2000   F1 0.49422516091381824   accuracy 0.5806451612903226   precision 0.5110879154718914   recall 0.5199102710799067
deviation 2/5   iterations 1040/2000   F1 0.5058795626194587   accuracy 0.6193548387096774   precision 0.5069789513115978   recall 0.527157569173883
deviation 2/5   iterations 1050/2000   F1 0.5186863468941484   accuracy 0.6490322580645161   precision 0.5161125214260384   recall 0.5350781859632605
deviation 2/5   iterations 1060/2000   F1 0.5021212625318495   accuracy 0.5935483870967742   precision 0.514179790702382   recall 0.5294241088017562
deviation 2/5   iterations 1070/2000   F1 0.5043230747876943   accuracy 0.6090322580645161   precision 0.5106520803653859   recall 0.5252800490352726
deviation 2/5   iterations 1080/2000   F1 0.4985516412624122   accuracy 0.5870967741935483   precision 0.512141000973784   recall 0.5275712961049455
deviation 2/5   iterations 1090/2000   F1 0.5094444143082342   accuracy 0.6374193548387097   precision 0.5074982195044083   recall 0.523721271258422
deviation 2/5   iterations 1100/2000   F1 0.5042559040803115   accuracy 0.6064516129032258   precision 0.5103206652607648   recall 0.5248265611217113
deviation 2/5   iterations 1110/2000   F1 0.5112903591632548   accuracy 0.632258064516129   precision 0.511117346552469   recall 0.5322139225943664
deviation 2/5   iterations 1120/2000   F1 0.5104396344396345   accuracy 0.6361290322580645   precision 0.5088567507697498   recall 0.5264939861923034
deviation 2/5   iterations 1130/2000   F1 0.5244487897963097   accuracy 0.632258064516129   precision 0.5233380731926011   recall 0.5489870848802073
deviation 2/5   iterations 1140/2000   F1 0.4960850599781897   accuracy 0.6025806451612903   precision 0.5027104400066958   recall 0.5224975983875695
deviation 2/5   iterations 1150/2000   F1 0.511406508207604   accuracy 0.6348387096774194   precision 0.5109719748355253   recall 0.5301327705927119
deviation 2/5   iterations 1160/2000   F1 0.5101003816654867   accuracy 0.6490322580645161   precision 0.5081604350243346   recall 0.523692145929678
deviation 2/5   iterations 1170/2000   F1 0.5108097356858757   accuracy 0.64   precision 0.5129079845104186   recall 0.5319058158863615
deviation 2/5   iterations 1180/2000   F1 0.5173859867711715   accuracy 0.6103225806451613   precision 0.5298932655788068   recall 0.5410126353202861
deviation 2/5   iterations 1190/2000   F1 0.529490130341023   accuracy 0.6606451612903226   precision 0.528709541824296   recall 0.5490968775520456
deviation 2/5   iterations 1200/2000   F1 0.503660088255997   accuracy 0.6090322580645161   precision 0.5098482437755808   recall 0.5260825500174343
deviation 2/5   iterations 1210/2000   F1 0.5154238500773154   accuracy 0.6296774193548387   precision 0.5163112419745844   recall 0.5353518495156441
deviation 2/5   iterations 1220/2000   F1 0.4956959536570415   accuracy 0.6412903225806451   precision 0.49638694638694636   recall 0.5158242165327475
deviation 2/5   iterations 1230/2000   F1 0.5064531634287711   accuracy 0.6193548387096774   precision 0.5088419206066265   recall 0.5229543588099784
deviation 2/5   iterations 1240/2000   F1 0.5043167462406516   accuracy 0.6245161290322581   precision 0.5037745098039216   recall 0.5177988483714114
deviation 2/5   iterations 1250/2000   F1 0.4895304278635076   accuracy 0.5819354838709677   precision 0.5033648991852874   recall 0.5168832822085639
deviation 2/5   iterations 1260/2000   F1 0.5122284984574415   accuracy 0.6503225806451612   precision 0.508605559137474   recall 0.5227151384132162
deviation 2/5   iterations 1270/2000   F1 0.5136528456188074   accuracy 0.6412903225806451   precision 0.5115421114399142   recall 0.5283941684546837
deviation 2/5   iterations 1280/2000   F1 0.5114381448870486   accuracy 0.6283870967741936   precision 0.5118417502127571   recall 0.5336670801481596
deviation 2/5   iterations 1290/2000   F1 0.5027167886291807   accuracy 0.6090322580645161   precision 0.5081237375762258   recall 0.5294832593991772
deviation 2/5   iterations 1300/2000   F1 0.5139591666658885   accuracy 0.6283870967741936   precision 0.5147381770964028   recall 0.5296545752373509
deviation 2/5   iterations 1310/2000   F1 0.4979025704291767   accuracy 0.6167741935483871   precision 0.506319514661274   recall 0.526386238838495
deviation 2/5   iterations 1320/2000   F1 0.5011672990933386   accuracy 0.6154838709677419   precision 0.5054646932172752   recall 0.5172882551784589
deviation 2/5   iterations 1330/2000   F1 0.5095768097709529   accuracy 0.6361290322580645   precision 0.5201041195470165   recall 0.535830044871005
deviation 2/5   iterations 1340/2000   F1 0.5044923009479972   accuracy 0.6116129032258064   precision 0.5096674480841442   recall 0.5215938950692945
deviation 2/5   iterations 1350/2000   F1 0.4919236681826793   accuracy 0.5664516129032258   precision 0.5178432527371674   recall 0.5237526873433592
deviation 2/5   iterations 1360/2000   F1 0.5085574031499319   accuracy 0.6438709677419355   precision 0.506427330236854   recall 0.520989462685136
deviation 2/5   iterations 1370/2000   F1 0.48588334949761264   accuracy 0.5690322580645162   precision 0.5082098225459123   recall 0.5144251371876615
deviation 2/5   iterations 1380/2000   F1 0.5036793253433594   accuracy 0.6451612903225806   precision 0.5052862702098383   recall 0.5266231684790639
deviation 2/5   iterations 1390/2000   F1 0.4997292650590964   accuracy 0.6270967741935484   precision 0.5002475891446473   recall 0.5205962707470925
deviation 2/5   iterations 1400/2000   F1 0.49803638407564216   accuracy 0.5922580645161291   precision 0.5090872072648984   recall 0.5268097014833791
deviation 2/5   iterations 1410/2000   F1 0.5252204568338446   accuracy 0.6477419354838709   precision 0.5227618089916176   recall 0.5449065935980891
deviation 2/5   iterations 1420/2000   F1 0.5116487552156342   accuracy 0.6451612903225806   precision 0.5107799102375238   recall 0.5302781517982681
deviation 2/5   iterations 1430/2000   F1 0.5046690291435174   accuracy 0.5922580645161291   precision 0.5159075224292615   recall 0.5351128745570455
deviation 2/5   iterations 1440/2000   F1 0.5027247847937503   accuracy 0.6464516129032258   precision 0.5029587020490088   recall 0.5221183146121283
deviation 2/5   iterations 1450/2000   F1 0.49017199017199015   accuracy 0.6245161290322581   precision 0.495708958011788   recall 0.5164242310299616
deviation 2/5   iterations 1460/2000   F1 0.5102083708641086   accuracy 0.6167741935483871   precision 0.5112794317800861   recall 0.5320276350282147
deviation 2/5   iterations 1470/2000   F1 0.5097605382681619   accuracy 0.6309677419354839   precision 0.509467807469219   recall 0.5263895113473426
deviation 2/5   iterations 1480/2000   F1 0.5091530168941271   accuracy 0.6270967741935484   precision 0.5106237090622693   recall 0.5303773088163516
deviation 2/5   iterations 1490/2000   F1 0.5209840635912871   accuracy 0.6348387096774194   precision 0.5198548396065822   recall 0.5365766677645935
deviation 2/5   iterations 1500/2000   F1 0.49777758617783174   accuracy 0.6154838709677419   precision 0.5096410223862967   recall 0.5282928843058493
deviation 2/5   iterations 1510/2000   F1 0.5231475041601623   accuracy 0.6645161290322581   precision 0.5197438949205179   recall 0.5303858991520766
deviation 2/5   iterations 1520/2000   F1 0.48285896770587994   accuracy 0.5754838709677419   precision 0.5013067657082612   recall 0.5029690654647396
deviation 2/5   iterations 1530/2000   F1 0.5002788077682592   accuracy 0.6335483870967742   precision 0.5014347286074318   recall 0.5205262390577531
deviation 2/5   iterations 1540/2000   F1 0.4955171068595357   accuracy 0.6   precision 0.503275097504942   recall 0.5134469842931029
deviation 2/5   iterations 1550/2000   F1 0.507117365746754   accuracy 0.632258064516129   precision 0.5072504322504322   recall 0.5260878678443116
deviation 2/5   iterations 1560/2000   F1 0.5137241068904284   accuracy 0.6464516129032258   precision 0.5152877774890653   recall 0.5344339925966032
deviation 2/5   iterations 1570/2000   F1 0.5113310149548935   accuracy 0.6154838709677419   precision 0.5143774010394355   recall 0.5357299879129885
deviation 2/5   iterations 1580/2000   F1 0.5132842051154907   accuracy 0.6696774193548387   precision 0.5155823141260034   recall 0.5310386010417377
deviation 2/5   iterations 1590/2000   F1 0.5182952419900363   accuracy 0.64   precision 0.517009796789369   recall 0.5338922287568769
deviation 2/5   iterations 1600/2000   F1 0.49255370091679734   accuracy 0.6193548387096774   precision 0.4969299479379277   recall 0.5172493941358932
deviation 2/5   iterations 1610/2000   F1 0.5061514632460032   accuracy 0.6593548387096774   precision 0.5119374672946102   recall 0.5229078891843418
deviation 2/5   iterations 1620/2000   F1 0.5094038468633127   accuracy 0.6425806451612903   precision 0.5079364935386922   recall 0.5237621776190174
deviation 2/5   iterations 1630/2000   F1 0.5056893128232073   accuracy 0.6361290322580645   precision 0.5076991372429782   recall 0.5271693502057344
deviation 2/5   iterations 1640/2000   F1 0.5169233580086293   accuracy 0.6632258064516129   precision 0.5169627773549874   recall 0.5337704096150238
deviation 2/5   iterations 1650/2000   F1 0.5140286283920109   accuracy 0.6658064516129032   precision 0.5101102216818095   recall 0.5272953417963685
deviation 2/5   iterations 1660/2000   F1 0.5018987271164611   accuracy 0.6103225806451613   precision 0.5071125842369594   recall 0.5241123360657146
deviation 2/5   iterations 1670/2000   F1 0.5218498362718935   accuracy 0.655483870967742   precision 0.5184080769471993   recall 0.5350717227582864
deviation 2/5   iterations 1680/2000   F1 0.5089050202082303   accuracy 0.6529032258064517   precision 0.5097804672108078   recall 0.526505767224155
deviation 2/5   iterations 1690/2000   F1 0.5079466050415136   accuracy 0.584516129032258   precision 0.5246177962606885   recall 0.5455595409259139
deviation 2/5   iterations 1700/2000   F1 0.5256234774861401   accuracy 0.655483870967742   precision 0.5230884577491189   recall 0.5403952765261795
deviation 2/5   iterations 1710/2000   F1 0.502964281343282   accuracy 0.6258064516129033   precision 0.5034408858891773   recall 0.5217639837166504
deviation 2/5   iterations 1720/2000   F1 0.5140397328581136   accuracy 0.6529032258064517   precision 0.5104694700303535   recall 0.522429693828981
deviation 2/5   iterations 1730/2000   F1 0.4951744323982206   accuracy 0.6696774193548387   precision 0.503330836067409   recall 0.5272564807538028
deviation 2/5   iterations 1740/2000   F1 0.495093709845048   accuracy 0.6296774193548387   precision 0.4990655834971304   recall 0.5175219123101802
deviation 2/5   iterations 1750/2000   F1 0.5053047975672026   accuracy 0.6206451612903225   precision 0.5099140236126538   recall 0.5186402103961388
deviation 2/5   iterations 1760/2000   F1 0.5028094521008413   accuracy 0.6   precision 0.5101988738130193   recall 0.5326276495254288
deviation 2/5   iterations 1770/2000   F1 0.517701775114174   accuracy 0.6361290322580645   precision 0.5183061416611429   recall 0.5303396749646038
deviation 2/5   iterations 1780/2000   F1 0.5023360998979903   accuracy 0.6283870967741936   precision 0.5033609734222045   recall 0.5204853326971576
deviation 2/5   iterations 1790/2000   F1 0.5204188564622169   accuracy 0.6761290322580645   precision 0.527769356751162   recall 0.5405589019685614
deviation 2/5   iterations 1800/2000   F1 0.5219645341738365   accuracy 0.6464516129032258   precision 0.519078592152138   recall 0.5330832645697412
deviation 2/5   iterations 1810/2000   F1 0.4877758833001799   accuracy 0.6116129032258064   precision 0.49545911328926007   recall 0.5148321554755864
deviation 2/5   iterations 1820/2000   F1 0.5109482379493654   accuracy 0.6451612903225806   precision 0.5083831055387962   recall 0.5251453034834711
deviation 2/5   iterations 1830/2000   F1 0.5171658310883066   accuracy 0.6670967741935484   precision 0.5156043817470243   recall 0.5306486816125419
deviation 2/5   iterations 1840/2000   F1 0.500080622981891   accuracy 0.6387096774193548   precision 0.5083190629628557   recall 0.5266296316840379
deviation 2/5   iterations 1850/2000   F1 0.5080118934599606   accuracy 0.6451612903225806   precision 0.5065390627068551   recall 0.5224835265995247
deviation 2/5   iterations 1860/2000   F1 0.5146390297608606   accuracy 0.6464516129032258   precision 0.5130275942831047   recall 0.5276325738331175
deviation 2/5   iterations 1870/2000   F1 0.5188879599936429   accuracy 0.6748387096774193   precision 0.5272985963670677   recall 0.5372691306367533
deviation 2/5   iterations 1880/2000   F1 0.5136161302271796   accuracy 0.6477419354838709   precision 0.5121982179652173   recall 0.5231912884505472
deviation 2/5   iterations 1890/2000   F1 0.5135362753236431   accuracy 0.6335483870967742   precision 0.5121906128193726   recall 0.5262312037318382
deviation 2/5   iterations 1900/2000   F1 0.5007724015552287   accuracy 0.6412903225806451   precision 0.501359189887048   recall 0.5228163407493293
deviation 2/5   iterations 1910/2000   F1 0.5076535323416209   accuracy 0.6645161290322581   precision 0.5119300911575014   recall 0.5282087808284651
deviation 2/5   iterations 1920/2000   F1 0.5109971025528882   accuracy 0.6683870967741935   precision 0.5104089944738278   recall 0.5251506213103485
deviation 2/5   iterations 1930/2000   F1 0.5233572736047077   accuracy 0.632258064516129   precision 0.5231436731181401   recall 0.5455863754984644
deviation 2/5   iterations 1940/2000   F1 0.5053191643172125   accuracy 0.6503225806451612   precision 0.5065020380230839   recall 0.5259251423418629
deviation 2/5   iterations 1950/2000   F1 0.4945312404441013   accuracy 0.6154838709677419   precision 0.49755070833275106   recall 0.5144993413257817
deviation 2/5   iterations 1960/2000   F1 0.5240674430712216   accuracy 0.6477419354838709   precision 0.5215416978804871   recall 0.5423083851985079
deviation 2/5   iterations 1970/2000   F1 0.5179941421012849   accuracy 0.6709677419354839   precision 0.5248063519886482   recall 0.5403908586392352
deviation 2/5   iterations 1980/2000   F1 0.5101084812544471   accuracy 0.6658064516129032   precision 0.5114617928669838   recall 0.5323646216268001
deviation 2/5   iterations 1990/2000   F1 0.5193306081937349   accuracy 0.6606451612903226   precision 0.517447646667765   recall 0.5367811995675708
deviation 2/5   iterations 2000/2000   F1 0.5231545016261959   accuracy 0.6361290322580645   precision 0.524318026805864   recall 0.539802870612036

deviation 3/5   iterations 10/2000   F1 0.38802727816114285   accuracy 0.5271317829457365   precision 0.4379092213382027   recall 0.40988080601235694
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deviation 3/5   iterations 20/2000   F1 0.4123648389121535   accuracy 0.6291989664082688   precision 0.45790228430677865   recall 0.4113923230804812
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deviation 3/5   iterations 30/2000   F1 0.472144356688184   accuracy 0.6511627906976745   precision 0.4968205498642851   recall 0.464150433865328
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deviation 3/5   iterations 40/2000   F1 0.47796220288634195   accuracy 0.6085271317829457   precision 0.47985280535743113   recall 0.4824621553002009
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deviation 3/5   iterations 50/2000   F1 0.48478861011510355   accuracy 0.6369509043927648   precision 0.4836310820624546   recall 0.48685741771036933
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deviation 3/5   iterations 60/2000   F1 0.4978587385194362   accuracy 0.627906976744186   precision 0.5160573214136398   recall 0.5045046684701245
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deviation 3/5   iterations 70/2000   F1 0.48281935911736157   accuracy 0.6046511627906976   precision 0.5028933263168827   recall 0.4929631694685521
deviation 3/5   iterations 80/2000   F1 0.502023352276097   accuracy 0.6731266149870802   precision 0.5071189113583804   recall 0.5009378833464957
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deviation 3/5   iterations 90/2000   F1 0.4995693367786391   accuracy 0.6563307493540051   precision 0.5085143596748337   recall 0.495794691760621
deviation 3/5   iterations 100/2000   F1 0.5028735070521172   accuracy 0.6550387596899225   precision 0.5155857895295869   recall 0.5022902717803936
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deviation 3/5   iterations 110/2000   F1 0.497119645104322   accuracy 0.6188630490956072   precision 0.5077331053629917   recall 0.5074353489708985
deviation 3/5   iterations 120/2000   F1 0.49512162729922665   accuracy 0.6188630490956072   precision 0.5091081777599534   recall 0.5057739673260789
deviation 3/5   iterations 130/2000   F1 0.5175872475779147   accuracy 0.665374677002584   precision 0.5280881590879648   recall 0.5174131078543712
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deviation 3/5   iterations 140/2000   F1 0.5235838779956427   accuracy 0.6744186046511628   precision 0.5271434973383484   recall 0.5228572173443817
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deviation 3/5   iterations 150/2000   F1 0.5223870871976244   accuracy 0.6498708010335917   precision 0.5191855286175774   recall 0.5356970371166515
deviation 3/5   iterations 160/2000   F1 0.5186082515954074   accuracy 0.6627906976744186   precision 0.5146377682436817   recall 0.5276567779821063
deviation 3/5   iterations 170/2000   F1 0.5092661283443766   accuracy 0.6498708010335917   precision 0.5169361474720423   recall 0.5116231128889357
deviation 3/5   iterations 180/2000   F1 0.5240948760295291   accuracy 0.6408268733850129   precision 0.5341268372213902   recall 0.5393744170509817
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deviation 3/5   iterations 190/2000   F1 0.5287588486836473   accuracy 0.6459948320413437   precision 0.5308254864169409   recall 0.54367203793443
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deviation 3/5   iterations 200/2000   F1 0.5152081651980519   accuracy 0.661498708010336   precision 0.5118447336749506   recall 0.5235052504660928
deviation 3/5   iterations 210/2000   F1 0.5396814302686045   accuracy 0.6705426356589147   precision 0.5353637584144658   recall 0.5512439702668024
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deviation 3/5   iterations 220/2000   F1 0.531723799103604   accuracy 0.6640826873385013   precision 0.5289228509295817   recall 0.5417265448615266
deviation 3/5   iterations 230/2000   F1 0.5318893531620131   accuracy 0.6718346253229974   precision 0.5317898939044313   recall 0.5363736002562455
deviation 3/5   iterations 240/2000   F1 0.5324322099617457   accuracy 0.661498708010336   precision 0.5343014984046611   recall 0.5406120705422728
deviation 3/5   iterations 250/2000   F1 0.545823247643268   accuracy 0.6731266149870802   precision 0.5441560788662044   recall 0.5554953938368111
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deviation 3/5   iterations 260/2000   F1 0.5290922699407492   accuracy 0.6524547803617571   precision 0.526745589973556   recall 0.543339105742986
deviation 3/5   iterations 270/2000   F1 0.5459664598545281   accuracy 0.6834625322997416   precision 0.5414831890493892   recall 0.5555122003128629
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deviation 3/5   iterations 280/2000   F1 0.5462214630153561   accuracy 0.6808785529715762   precision 0.5417099833744948   recall 0.5550587123993015
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deviation 3/5   iterations 290/2000   F1 0.5285457244696209   accuracy 0.6459948320413437   precision 0.5296333837975101   recall 0.54367203793443
deviation 3/5   iterations 300/2000   F1 0.522406792174234   accuracy 0.6459948320413437   precision 0.5238571556409118   recall 0.534957839110211
deviation 3/5   iterations 310/2000   F1 0.5389209027363041   accuracy 0.6705426356589147   precision 0.5392425617914384   recall 0.546259825332344
deviation 3/5   iterations 320/2000   F1 0.5437804341828286   accuracy 0.6666666666666666   precision 0.5432471831817108   recall 0.5556246807281943
deviation 3/5   iterations 330/2000   F1 0.5504435832209581   accuracy 0.6705426356589147   precision 0.5463933512914324   recall 0.5637561047474687
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deviation 3/5   iterations 340/2000   F1 0.5408857878607536   accuracy 0.6627906976744186   precision 0.5396429558535124   recall 0.5534777968825053
deviation 3/5   iterations 350/2000   F1 0.5535642090804929   accuracy 0.686046511627907   precision 0.5511059100489994   recall 0.5606282555886247
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deviation 3/5   iterations 360/2000   F1 0.5393112264976437   accuracy 0.6563307493540051   precision 0.5434191067731441   recall 0.5536070837738886
deviation 3/5   iterations 370/2000   F1 0.5190910643287584   accuracy 0.6253229974160207   precision 0.5325987893775207   recall 0.5407730027983192
deviation 3/5   iterations 380/2000   F1 0.5369041238211877   accuracy 0.6640826873385013   precision 0.5376303612569501   recall 0.5463212304570403
deviation 3/5   iterations 390/2000   F1 0.5403463524939873   accuracy 0.6705426356589147   precision 0.5360216020061451   recall 0.5495825886219828
deviation 3/5   iterations 400/2000   F1 0.5386194289069259   accuracy 0.6679586563307494   precision 0.5342989982088068   recall 0.5490612189417347
deviation 3/5   iterations 410/2000   F1 0.5342279184714797   accuracy 0.6718346253229974   precision 0.5301483779174068   recall 0.5431548903688972
deviation 3/5   iterations 420/2000   F1 0.5234270040304523   accuracy 0.6731266149870802   precision 0.5203047682746704   recall 0.5298101384697859
deviation 3/5   iterations 430/2000   F1 0.5247724953029471   accuracy 0.6679586563307494   precision 0.524750116329461   recall 0.539075097811641
deviation 3/5   iterations 440/2000   F1 0.5319691373419951   accuracy 0.6666666666666666   precision 0.5303608322041502   recall 0.5480288094152994
deviation 3/5   iterations 450/2000   F1 0.5395077458264245   accuracy 0.6576227390180879   precision 0.5370756300477849   recall 0.5558935843450218
deviation 3/5   iterations 460/2000   F1 0.509934065934066   accuracy 0.6317829457364341   precision 0.5244052512655054   recall 0.5250124634366915
deviation 3/5   iterations 470/2000   F1 0.522959057416582   accuracy 0.6369509043927648   precision 0.5324956208628001   recall 0.5408218235616792
deviation 3/5   iterations 480/2000   F1 0.521093584780576   accuracy 0.6395348837209303   precision 0.5269327015535757   recall 0.5350192442349072
deviation 3/5   iterations 490/2000   F1 0.49722067865916925   accuracy 0.5943152454780362   precision 0.51436815920398   recall 0.5242088679329896
deviation 3/5   iterations 500/2000   F1 0.5135253623552168   accuracy 0.6227390180878553   precision 0.5157007258265973   recall 0.532927288871924
deviation 3/5   iterations 510/2000   F1 0.5153388570502613   accuracy 0.6214470284237726   precision 0.5325722721795677   recall 0.5361001056020576
deviation 3/5   iterations 520/2000   F1 0.4993043706402165   accuracy 0.5981912144702842   precision 0.5226483436552684   recall 0.5218968297165386
deviation 3/5   iterations 530/2000   F1 0.5174954785058131   accuracy 0.6434108527131783   precision 0.5288646991808932   recall 0.5275872975506242
deviation 3/5   iterations 540/2000   F1 0.503180790960452   accuracy 0.6356589147286822   precision 0.5293883857712436   recall 0.515851253340902
deviation 3/5   iterations 550/2000   F1 0.48907952113851155   accuracy 0.5852713178294574   precision 0.5193738668854544   recall 0.5106436642577658
deviation 3/5   iterations 560/2000   F1 0.4864121005654381   accuracy 0.582687338501292   precision 0.5090515777377386   recall 0.5127840714614641
deviation 3/5   iterations 570/2000   F1 0.5101823662133183   accuracy 0.6136950904392765   precision 0.5254137161558292   recall 0.5381981686843865
deviation 3/5   iterations 580/2000   F1 0.5133985735395975   accuracy 0.624031007751938   precision 0.5271608261472553   recall 0.5321625532201658
deviation 3/5   iterations 590/2000   F1 0.51899054726183   accuracy 0.6304909560723514   precision 0.526914386985137   recall 0.5363564248575488
deviation 3/5   iterations 600/2000   F1 0.5041304113942122   accuracy 0.6111111111111112   precision 0.5284614159477953   recall 0.5263008232959729
deviation 3/5   iterations 610/2000   F1 0.5186487995533221   accuracy 0.6343669250645995   precision 0.5308948758045714   recall 0.535977295352665
deviation 3/5   iterations 620/2000   F1 0.5303197575239511   accuracy 0.6537467700258398   precision 0.5434387716679586   recall 0.5464401875143623
deviation 3/5   iterations 630/2000   F1 0.5071879740507291   accuracy 0.603359173126615   precision 0.5158868687229253   recall 0.5321789907735726
deviation 3/5   iterations 640/2000   F1 0.5351415070030049   accuracy 0.6550387596899225   precision 0.5332595053525285   recall 0.5503201879636281
deviation 3/5   iterations 650/2000   F1 0.49861315009914936   accuracy 0.6020671834625323   precision 0.5194528072193277   recall 0.5177876463218946
deviation 3/5   iterations 660/2000   F1 0.5159411156592784   accuracy 0.6343669250645995   precision 0.5213075984651768   recall 0.5314504915238383
deviation 3/5   iterations 670/2000   F1 0.5192253431567537   accuracy 0.6447028423772609   precision 0.5274627838432943   recall 0.5318067068333246
deviation 3/5   iterations 680/2000   F1 0.5234737554434717   accuracy 0.6447028423772609   precision 0.5286314830427862   recall 0.5369266153011569
deviation 3/5   iterations 690/2000   F1 0.5161486657885134   accuracy 0.6304909560723514   precision 0.518120880226994   recall 0.5336267662069153
deviation 3/5   iterations 700/2000   F1 0.5227449723592362   accuracy 0.6356589147286822   precision 0.5308692646042044   recall 0.5427905997526251
deviation 3/5   iterations 710/2000   F1 0.5202923239227745   accuracy 0.6291989664082688   precision 0.526788300952476   recall 0.540054464460001
deviation 3/5   iterations 720/2000   F1 0.5325510888624133   accuracy 0.6563307493540051   precision 0.5284265887889098   recall 0.5446892396496087
deviation 3/5   iterations 730/2000   F1 0.5245570880777807   accuracy 0.6511627906976745   precision 0.5365114157430907   recall 0.5380013689489616
deviation 3/5   iterations 740/2000   F1 0.49842847014894137   accuracy 0.6020671834625323   precision 0.5115754429769805   recall 0.5167193693160805
deviation 3/5   iterations 750/2000   F1 0.5221491576309137   accuracy 0.6511627906976745   precision 0.5288925156758717   recall 0.5326099334143816
deviation 3/5   iterations 760/2000   F1 0.5260970402093634   accuracy 0.648578811369509   precision 0.5294886156802258   recall 0.5398702490859121
deviation 3/5   iterations 770/2000   F1 0.4989761500631065   accuracy 0.5904392764857881   precision 0.5260181459944704   recall 0.5238591292654938
deviation 3/5   iterations 780/2000   F1 0.49386199827464194   accuracy 0.5852713178294574   precision 0.5299556635413097   recall 0.5176964814371652
deviation 3/5   iterations 790/2000   F1 0.5210432954783236   accuracy 0.6317829457364341   precision 0.5264258251737761   recall 0.539643320667809
deviation 3/5   iterations 800/2000   F1 0.5067414430495342   accuracy 0.6111111111111112   precision 0.5099613669871185   recall 0.5292162959854904
deviation 3/5   iterations 810/2000   F1 0.5279182419246431   accuracy 0.6472868217054264   precision 0.5294529684690555   recall 0.5436361704550513
deviation 3/5   iterations 820/2000   F1 0.5324992486197618   accuracy 0.6434108527131783   precision 0.5359362889613773   recall 0.5547981710290949
deviation 3/5   iterations 830/2000   F1 0.4950309237397033   accuracy 0.582687338501292   precision 0.5153619119951546   recall 0.5230917701638157
deviation 3/5   iterations 840/2000   F1 0.5168520835535246   accuracy 0.6214470284237726   precision 0.5235284436065476   recall 0.5374220784134424
deviation 3/5   iterations 850/2000   F1 0.5381047303478171   accuracy 0.6472868217054264   precision 0.542583243247124   recall 0.5604035816977967
deviation 3/5   iterations 860/2000   F1 0.5119160526414218   accuracy 0.6124031007751938   precision 0.5285522288022642   recall 0.5365047727522588
deviation 3/5   iterations 870/2000   F1 0.495882319269416   accuracy 0.5968992248062015   precision 0.524600428524694   recall 0.5240692512075453
deviation 3/5   iterations 880/2000   F1 0.5136313882963955   accuracy 0.6188630490956072   precision 0.5190655125748868   recall 0.5353750906217486
deviation 3/5   iterations 890/2000   F1 0.4981333409773557   accuracy 0.6020671834625323   precision 0.5114411310638901   recall 0.5149222241378872
deviation 3/5   iterations 900/2000   F1 0.5089556295604925   accuracy 0.6046511627906976   precision 0.5243119409407461   recall 0.5321431232941939
deviation 3/5   iterations 910/2000   F1 0.5213033108866442   accuracy 0.6382428940568475   precision 0.5230183535887319   recall 0.5360555069534131
deviation 3/5   iterations 920/2000   F1 0.5065246483110303   accuracy 0.5981912144702842   precision 0.5209504648585777   recall 0.5348663053028367
deviation 3/5   iterations 930/2000   F1 0.5005618603086062   accuracy 0.599483204134367   precision 0.5184654138094936   recall 0.5215894351704123
deviation 3/5   iterations 940/2000   F1 0.5164666696158791   accuracy 0.6330749354005168   precision 0.5163379403541106   recall 0.5330119771146625
deviation 3/5   iterations 950/2000   F1 0.508532818153579   accuracy 0.6098191214470284   precision 0.5221745045274456   recall 0.5315244810098708
deviation 3/5   iterations 960/2000   F1 0.5050306835602321   accuracy 0.5956072351421189   precision 0.5234878629957417   recall 0.5344806991559624
deviation 3/5   iterations 970/2000   F1 0.5048770238536645   accuracy 0.5968992248062015   precision 0.5185898656666129   recall 0.5295786190143223
deviation 3/5   iterations 980/2000   F1 0.5225067150673196   accuracy 0.6382428940568475   precision 0.5211224717398357   recall 0.5385815203039858
deviation 3/5   iterations 990/2000   F1 0.47161805382117294   accuracy 0.5310077519379846   precision 0.5233965112332014   recall 0.5212606431108738
deviation 3/5   iterations 1000/2000   F1 0.5118131490471477   accuracy 0.627906976744186   precision 0.511388523835619   recall 0.5293074608702196
deviation 3/5   iterations 1010/2000   F1 0.504401225984365   accuracy 0.6007751937984496   precision 0.522782452891892   recall 0.5312002799876928
deviation 3/5   iterations 1020/2000   F1 0.496086992069332   accuracy 0.5813953488372093   precision 0.512045336330249   recall 0.526654046232894
deviation 3/5   iterations 1030/2000   F1 0.523262103859476   accuracy 0.648578811369509   precision 0.5216536574701786   recall 0.5344109317846453
deviation 3/5   iterations 1040/2000   F1 0.5193877192750272   accuracy 0.627906976744186   precision 0.5214298275678374   recall 0.5391578184669394
deviation 3/5   iterations 1050/2000   F1 0.5251290348858443   accuracy 0.6343669250645995   precision 0.5248278173057841   recall 0.5452845988158895
deviation 3/5   iterations 1060/2000   F1 0.5062966174593657   accuracy 0.6511627906976745   precision 0.5054241450831517   recall 0.5178933631554002
deviation 3/5   iterations 1070/2000   F1 0.49952650332128473   accuracy 0.6020671834625323   precision 0.5156319656382552   recall 0.5221786866173473
deviation 3/5   iterations 1080/2000   F1 0.5327112029407554   accuracy 0.661498708010336   precision 0.5289794428123874   recall 0.5437990702985379
deviation 3/5   iterations 1090/2000   F1 0.5095215580321963   accuracy 0.6111111111111112   precision 0.5178906349090693   recall 0.5312849682304314
deviation 3/5   iterations 1100/2000   F1 0.47771297518908296   accuracy 0.5503875968992248   precision 0.5173035239995537   recall 0.5175500191470853
deviation 3/5   iterations 1110/2000   F1 0.5228255310404442   accuracy 0.6330749354005168   precision 0.5249752887683922   recall 0.5412009530665629
deviation 3/5   iterations 1120/2000   F1 0.524171595600167   accuracy 0.6369509043927648   precision 0.5211148610091041   recall 0.5413470464339979
deviation 3/5   iterations 1130/2000   F1 0.5300925979975656   accuracy 0.6498708010335917   precision 0.5255169067919959   recall 0.5430213813627986
deviation 3/5   iterations 1140/2000   F1 0.4792395419920843   accuracy 0.5555555555555556   precision 0.5140395880581853   recall 0.5176602450351415
deviation 3/5   iterations 1150/2000   F1 0.5238359467120346   accuracy 0.6563307493540051   precision 0.5211902590493561   recall 0.5373648954034617
deviation 3/5   iterations 1160/2000   F1 0.5166581400231662   accuracy 0.6434108527131783   precision 0.5153724283198053   recall 0.5273157704838765
deviation 3/5   iterations 1170/2000   F1 0.4840695709519838   accuracy 0.5775193798449613   precision 0.5106623360864649   recall 0.5073502918055147
deviation 3/5   iterations 1180/2000   F1 0.46267668634818393   accuracy 0.5387596899224806   precision 0.4993052540165002   recall 0.4918159430167002
deviation 3/5   iterations 1190/2000   F1 0.5135769656911789   accuracy 0.6459948320413437   precision 0.5109039769754055   recall 0.5241070862743641
deviation 3/5   iterations 1200/2000   F1 0.4984963434075221   accuracy 0.6188630490956072   precision 0.4994119847429264   recall 0.5106223487271636
deviation 3/5   iterations 1210/2000   F1 0.49382849349156627   accuracy 0.5891472868217055   precision 0.5068654046981719   recall 0.5149771526205927
deviation 3/5   iterations 1220/2000   F1 0.5156469137926091   accuracy 0.6227390180878553   precision 0.5163857558722941   recall 0.5346565522834302
deviation 3/5   iterations 1230/2000   F1 0.5096552012283938   accuracy 0.6124031007751938   precision 0.5107737136722644   recall 0.5317064418566844
deviation 3/5   iterations 1240/2000   F1 0.4692094004661412   accuracy 0.5310077519379846   precision 0.5188474589395781   recall 0.5142078259314743
deviation 3/5   iterations 1250/2000   F1 0.5265703278782794   accuracy 0.661498708010336   precision 0.5250454924952428   recall 0.5358137396466983
deviation 3/5   iterations 1260/2000   F1 0.5288485372027371   accuracy 0.6511627906976745   precision 0.5253004109711427   recall 0.5419172368776061
deviation 3/5   iterations 1270/2000   F1 0.48945896418213525   accuracy 0.5710594315245479   precision 0.5130612249766714   recall 0.5222461994613893
deviation 3/5   iterations 1280/2000   F1 0.5105753367786218   accuracy 0.6408268733850129   precision 0.5079414016790439   recall 0.5213350835023615
deviation 3/5   iterations 1290/2000   F1 0.49885754612360117   accuracy 0.6162790697674418   precision 0.5027471840586801   recall 0.5118302424584218
deviation 3/5   iterations 1300/2000   F1 0.5085538938922397   accuracy 0.6382428940568475   precision 0.5074646206645137   recall 0.516626318826721
deviation 3/5   iterations 1310/2000   F1 0.5033050157181769   accuracy 0.6085271317829457   precision 0.5083823701773255   recall 0.5217778726592166
deviation 3/5   iterations 1320/2000   F1 0.5191312780361059   accuracy 0.6550387596899225   precision 0.515984055083862   recall 0.5247028143632899
deviation 3/5   iterations 1330/2000   F1 0.4893345273346034   accuracy 0.5981912144702842   precision 0.4959472421015249   recall 0.5040611414679793
deviation 3/5   iterations 1340/2000   F1 0.5095506169693534   accuracy 0.6188630490956072   precision 0.5103007300028576   recall 0.5297121280204209
deviation 3/5   iterations 1350/2000   F1 0.5143085706423837   accuracy 0.627906976744186   precision 0.5155406726715769   recall 0.5295111061702804
deviation 3/5   iterations 1360/2000   F1 0.5125469239021054   accuracy 0.6447028423772609   precision 0.5110605175258746   recall 0.5184299406469051
deviation 3/5   iterations 1370/2000   F1 0.4954702883420536   accuracy 0.6020671834625323   precision 0.506714454696341   recall 0.5105990656091212
deviation 3/5   iterations 1380/2000   F1 0.5213637869222976   accuracy 0.648578811369509   precision 0.5177857363921706   recall 0.5333426547788314
deviation 3/5   iterations 1390/2000   F1 0.5080737521381954   accuracy 0.6059431524547804   precision 0.5119246565702299   recall 0.5317678469813806
deviation 3/5   iterations 1400/2000   F1 0.5233564388131304   accuracy 0.6343669250645995   precision 0.5218301241888894   recall 0.5408935585204365
deviation 3/5   iterations 1410/2000   F1 0.51625785126943   accuracy 0.648578811369509   precision 0.5142764056136868   recall 0.5230349560764798
deviation 3/5   iterations 1420/2000   F1 0.5039221297607384   accuracy 0.5968992248062015   precision 0.5154023694634016   recall 0.5297822643143831
deviation 3/5   iterations 1430/2000   F1 0.5296847577292413   accuracy 0.6795865633074936   precision 0.529146924773444   recall 0.5307491285842167
deviation 3/5   iterations 1440/2000   F1 0.517107631631245   accuracy 0.6098191214470284   precision 0.524221455513467   recall 0.5454943518352958
deviation 3/5   iterations 1450/2000   F1 0.534936854228656   accuracy 0.6757105943152455   precision 0.5326798009663555   recall 0.5408428521524464
deviation 3/5   iterations 1460/2000   F1 0.5146126683468801   accuracy 0.6253229974160207   precision 0.5172745505624434   recall 0.5299901317291593
deviation 3/5   iterations 1470/2000   F1 0.5196224017901339   accuracy 0.6408268733850129   precision 0.5163749788425044   recall 0.5328468227439007
deviation 3/5   iterations 1480/2000   F1 0.5222023993776569   accuracy 0.6576227390180879   precision 0.5194852932285734   recall 0.5261566975159783
deviation 3/5   iterations 1490/2000   F1 0.513687338801769   accuracy 0.6111111111111112   precision 0.5197232982808072   recall 0.5382699036431439
deviation 3/5   iterations 1500/2000   F1 0.5185365882298038   accuracy 0.6524547803617571   precision 0.5187733827321929   recall 0.5291655896175002
deviation 3/5   iterations 1510/2000   F1 0.5270340141144945   accuracy 0.6382428940568475   precision 0.5252074314716917   recall 0.544701824010945
deviation 3/5   iterations 1520/2000   F1 0.5338252927939027   accuracy 0.6408268733850129   precision 0.5297568699368055   recall 0.5532085243430328
deviation 3/5   iterations 1530/2000   F1 0.5142156765381585   accuracy 0.6408268733850129   precision 0.513577074982489   recall 0.5224712422748623
deviation 3/5   iterations 1540/2000   F1 0.5175115308107636   accuracy 0.6524547803617571   precision 0.5158944812771264   recall 0.5225200630382223
deviation 3/5   iterations 1550/2000   F1 0.5157708224908253   accuracy 0.6447028423772609   precision 0.5118921761614903   recall 0.5235498491147373
deviation 3/5   iterations 1560/2000   F1 0.5074415850142516   accuracy 0.6434108527131783   precision 0.511176244691425   recall 0.5099552546021255
deviation 3/5   iterations 1570/2000   F1 0.5180632052313469   accuracy 0.6227390180878553   precision 0.5187671559852011   recall 0.5391833561122571
deviation 3/5   iterations 1580/2000   F1 0.5132289887160457   accuracy 0.6434108527131783   precision 0.5097857359666486   recall 0.5219243349492965
deviation 3/5   iterations 1590/2000   F1 0.4957113723423187   accuracy 0.5981912144702842   precision 0.5038740848763386   recall 0.5147082490037653
deviation 3/5   iterations 1600/2000   F1 0.5002774083886082   accuracy 0.6188630490956072   precision 0.5087053425106522   recall 0.5223877837742738
deviation 3/5   iterations 1610/2000   F1 0.4968953242945388   accuracy 0.6046511627906976   precision 0.5113345242239129   recall 0.5130533440009365
deviation 3/5   iterations 1620/2000   F1 0.520166562279809   accuracy 0.6705426356589147   precision 0.5204764460803109   recall 0.5199135835596264
deviation 3/5   iterations 1630/2000   F1 0.5129435304214068   accuracy 0.6434108527131783   precision 0.5121995464852608   recall 0.5277731115895081
deviation 3/5   iterations 1640/2000   F1 0.48597881167634727   accuracy 0.5633074935400517   precision 0.5120920432125365   recall 0.5188849452424514
deviation 3/5   iterations 1650/2000   F1 0.5077040423268661   accuracy 0.6214470284237726   precision 0.5152949629812517   recall 0.523791616421452
deviation 3/5   iterations 1660/2000   F1 0.5142624866879996   accuracy 0.6498708010335917   precision 0.5108010820107091   recall 0.5201336664130939
deviation 3/5   iterations 1670/2000   F1 0.5071729162741034   accuracy 0.6472868217054264   precision 0.5066394375318323   recall 0.5158822428430851
deviation 3/5   iterations 1680/2000   F1 0.5062097902097902   accuracy 0.599483204134367   precision 0.5129847366970538   recall 0.5328975291118908
deviation 3/5   iterations 1690/2000   F1 0.5082673816545352   accuracy 0.599483204134367   precision 0.5196659218054168   recall 0.539221478118911
deviation 3/5   iterations 1700/2000   F1 0.4879519689217316   accuracy 0.5762273901808785   precision 0.5107320686924365   recall 0.5136422265252266
deviation 3/5   iterations 1710/2000   F1 0.5129768983029852   accuracy 0.6382428940568475   precision 0.5095457079152731   recall 0.524340122411813
deviation 3/5   iterations 1720/2000   F1 0.5285380595736505   accuracy 0.6666666666666666   precision 0.5311091649774664   recall 0.5350593338290014
deviation 3/5   iterations 1730/2000   F1 0.5284090834280104   accuracy 0.6705426356589147   precision 0.5283208572682256   recall 0.5286956641505323
deviation 3/5   iterations 1740/2000   F1 0.49948284203326493   accuracy 0.599483204134367   precision 0.5053779574769588   recall 0.5221825398094179
deviation 3/5   iterations 1750/2000   F1 0.4594427679095661   accuracy 0.5361757105943152   precision 0.49964486595229296   recall 0.49775428587684595
deviation 3/5   iterations 1760/2000   F1 0.48887882224007634   accuracy 0.5788113695090439   precision 0.5046126126607139   recall 0.514027832672101
deviation 3/5   iterations 1770/2000   F1 0.5032800254604767   accuracy 0.6149870801033591   precision 0.5028808386159284   recall 0.5191225724172607
deviation 3/5   iterations 1780/2000   F1 0.5260010019277906   accuracy 0.6511627906976745   precision 0.5227070450918959   recall 0.5373904330487792
deviation 3/5   iterations 1790/2000   F1 0.5137137988765211   accuracy 0.6447028423772609   precision 0.5099816441728207   recall 0.5208880722307908
deviation 3/5   iterations 1800/2000   F1 0.5016130564015188   accuracy 0.5981912144702842   precision 0.5053363958273519   recall 0.527016738184371
deviation 3/5   iterations 1810/2000   F1 0.5035005775635998   accuracy 0.6382428940568475   precision 0.5006412821538871   recall 0.5095735016473216
deviation 3/5   iterations 1820/2000   F1 0.5105422646521199   accuracy 0.6472868217054264   precision 0.5103509948580371   recall 0.5211379148442913
deviation 3/5   iterations 1830/2000   F1 0.5181041956687606   accuracy 0.6602067183462532   precision 0.5177450177450177   recall 0.5246093949512854
deviation 3/5   iterations 1840/2000   F1 0.5091274302751915   accuracy 0.624031007751938   precision 0.5062801932367149   recall 0.5231089455625123
deviation 3/5   iterations 1850/2000   F1 0.4954114268434986   accuracy 0.6072351421188631   precision 0.5011468701123873   recall 0.5118454502696784
deviation 3/5   iterations 1860/2000   F1 0.4959594027469194   accuracy 0.6007751937984496   precision 0.49862318377115694   recall 0.5133645917391333
deviation 3/5   iterations 1870/2000   F1 0.5132789282513327   accuracy 0.6291989664082688   precision 0.5107687809954484   recall 0.5268134618069552
deviation 3/5   iterations 1880/2000   F1 0.5193298523316215   accuracy 0.6343669250645995   precision 0.5152561416032454   recall 0.5337728595743502
deviation 3/5   iterations 1890/2000   F1 0.5160604128025607   accuracy 0.6498708010335917   precision 0.5141737551991101   recall 0.5203373117131546
deviation 3/5   iterations 1900/2000   F1 0.5266207287702488   accuracy 0.661498708010336   precision 0.5239726195254835   recall 0.5375430030582048
deviation 3/5   iterations 1910/2000   F1 0.509270444785319   accuracy 0.648578811369509   precision 0.5070145288194615   recall 0.5133882437798207
deviation 3/5   iterations 1920/2000   F1 0.5191810614003568   accuracy 0.6343669250645995   precision 0.5160683304252479   recall 0.5330439914019708
deviation 3/5   iterations 1930/2000   F1 0.49878076636173846   accuracy 0.5968992248062015   precision 0.5141093959640194   recall 0.5247981193799247
deviation 3/5   iterations 1940/2000   F1 0.5110802881469949   accuracy 0.6343669250645995   precision 0.5110510386217243   recall 0.519870870515612
deviation 3/5   iterations 1950/2000   F1 0.5230943232963602   accuracy 0.6550387596899225   precision 0.5193046027262129   recall 0.5290938546587428
deviation 3/5   iterations 1960/2000   F1 0.5143994768712602   accuracy 0.6537467700258398   precision 0.5123771659779038   recall 0.5170248782575767
deviation 3/5   iterations 1970/2000   F1 0.510925307959163   accuracy 0.6227390180878553   precision 0.5070475080985097   recall 0.524213090047705
deviation 3/5   iterations 1980/2000   F1 0.5308000750992382   accuracy 0.6524547803617571   precision 0.5275619442286109   recall 0.5398805789199732
deviation 3/5   iterations 1990/2000   F1 0.5090844697647673   accuracy 0.6072351421188631   precision 0.510702216220594   recall 0.5326644929744421
deviation 3/5   iterations 2000/2000   F1 0.5162416865093199   accuracy 0.627906976744186   precision 0.5181233080305007   recall 0.5351740687716081

deviation 4/5   iterations 10/2000   F1 0.29576250092143336   accuracy 0.36175710594315247   precision 0.44933484873911117   recall 0.4406851500191143
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deviation 4/5   iterations 20/2000   F1 0.40929491803028356   accuracy 0.6046511627906976   precision 0.4027238494245564   recall 0.4298772741929017
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deviation 4/5   iterations 30/2000   F1 0.4447556427928047   accuracy 0.5710594315245479   precision 0.4782236852721435   recall 0.47728535076222284
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deviation 4/5   iterations 40/2000   F1 0.45126720075557286   accuracy 0.6472868217054264   precision 0.465451503275077   recall 0.44883042913328025
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deviation 4/5   iterations 50/2000   F1 0.4923986143344486   accuracy 0.5968992248062015   precision 0.5058069065125699   recall 0.5142188936108255
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deviation 4/5   iterations 60/2000   F1 0.4998112556663153   accuracy 0.6304909560723514   precision 0.49757819179020735   recall 0.5064158927284445
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deviation 4/5   iterations 70/2000   F1 0.5126760057163752   accuracy 0.6498708010335917   precision 0.5102063202500525   recall 0.5217271662912264
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deviation 4/5   iterations 80/2000   F1 0.5083224300658983   accuracy 0.648578811369509   precision 0.5129465678701948   recall 0.5119305074350621
deviation 4/5   iterations 90/2000   F1 0.5096001139587739   accuracy 0.6511627906976745   precision 0.5153809068834061   recall 0.5115193636428701
deviation 4/5   iterations 100/2000   F1 0.5114111947440122   accuracy 0.6498708010335917   precision 0.5212433065595716   recall 0.5162177984844494
deviation 4/5   iterations 110/2000   F1 0.5189241008056339   accuracy 0.6188630490956072   precision 0.5258706560910176   recall 0.5432246577402143
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deviation 4/5   iterations 120/2000   F1 0.5272836418133432   accuracy 0.6511627906976745   precision 0.523959947215556   recall 0.5375940783488399
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deviation 4/5   iterations 130/2000   F1 0.5514834891020849   accuracy 0.6744186046511628   precision 0.5462676515794495   recall 0.5597148031195115
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deviation 4/5   iterations 140/2000   F1 0.5420937537014329   accuracy 0.6666666666666666   precision 0.5408470661914239   recall 0.550504772260362
deviation 4/5   iterations 150/2000   F1 0.5268130331072896   accuracy 0.6266149870801033   precision 0.5325121427335603   recall 0.5527062156661116
deviation 4/5   iterations 160/2000   F1 0.5217121449623847   accuracy 0.624031007751938   precision 0.5538781416638447   recall 0.5544571635308652
deviation 4/5   iterations 170/2000   F1 0.5065863723684484   accuracy 0.6434108527131783   precision 0.5353407557354926   recall 0.5272657199783665
deviation 4/5   iterations 180/2000   F1 0.5431583952689969   accuracy 0.6666666666666666   precision 0.5405569007263923   recall 0.5539632990833748
deviation 4/5   iterations 190/2000   F1 0.5463449862252042   accuracy 0.6640826873385013   precision 0.5410063350234608   recall 0.5602911012824653
deviation 4/5   iterations 200/2000   F1 0.551741380312809   accuracy 0.6757105943152455   precision 0.5466428106392179   recall 0.5612724355182653
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deviation 4/5   iterations 210/2000   F1 0.5277290299372723   accuracy 0.6408268733850129   precision 0.5339771651773703   recall 0.5473597477028211
deviation 4/5   iterations 220/2000   F1 0.5307373642134462   accuracy 0.6382428940568475   precision 0.5345633729357325   recall 0.5518225229570314
deviation 4/5   iterations 230/2000   F1 0.5459750198251944   accuracy 0.6821705426356589   precision 0.5475293605915615   recall 0.5482415548072711
deviation 4/5   iterations 240/2000   F1 0.5543042910317822   accuracy 0.6834625322997416   precision 0.5533844140088753   recall 0.5585812677969308
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deviation 4/5   iterations 250/2000   F1 0.5615329068610188   accuracy 0.6795865633074936   precision 0.5551997085977668   recall 0.5729981498939266
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deviation 4/5   iterations 260/2000   F1 0.5514589275209856   accuracy 0.6679586563307494   precision 0.546063074352548   recall 0.5666932618902334
deviation 4/5   iterations 270/2000   F1 0.5474767512743574   accuracy 0.6666666666666666   precision 0.5444060050825379   recall 0.5600157210236472
deviation 4/5   iterations 280/2000   F1 0.5243229009356556   accuracy 0.627906976744186   precision 0.53672960360457   recall 0.5501443348361602
deviation 4/5   iterations 290/2000   F1 0.5439754164022275   accuracy 0.6550387596899225   precision 0.5438000607191712   recall 0.5636290723833608
deviation 4/5   iterations 300/2000   F1 0.5565544987129513   accuracy 0.6757105943152455   precision 0.5532401019508643   recall 0.569325647936792
deviation 4/5   iterations 310/2000   F1 0.5524152382646516   accuracy 0.6821705426356589   precision 0.5531840707439389   recall 0.5579561488706171
deviation 4/5   iterations 320/2000   F1 0.563964059402584   accuracy 0.6808785529715762   precision 0.5590839097100139   recall 0.5764208092375607
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deviation 4/5   iterations 330/2000   F1 0.566524514015848   accuracy 0.6886304909560723   precision 0.561088231088231   recall 0.5769166412724912
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deviation 4/5   iterations 340/2000   F1 0.5539594794751311   accuracy 0.6770025839793282   precision 0.5513360392355826   recall 0.5654918448009658
deviation 4/5   iterations 350/2000   F1 0.528762978993158   accuracy 0.6744186046511628   precision 0.5353247064531198   recall 0.5283165346456485
deviation 4/5   iterations 360/2000   F1 0.5490005836873154   accuracy 0.6770025839793282   precision 0.5449697910964181   recall 0.5576422776825001
deviation 4/5   iterations 370/2000   F1 0.5622717861848296   accuracy 0.6808785529715762   precision 0.5561142296534535   recall 0.5737590323536143
deviation 4/5   iterations 380/2000   F1 0.5538332617525509   accuracy 0.6782945736434108   precision 0.550652072659525   recall 0.5636588321433939
deviation 4/5   iterations 390/2000   F1 0.5457800640136649   accuracy 0.6679586563307494   precision 0.5406353054653997   recall 0.5579111812993275
deviation 4/5   iterations 400/2000   F1 0.5578519350071074   accuracy 0.6821705426356589   precision 0.5524670838777433   recall 0.5664667023947753
deviation 4/5   iterations 410/2000   F1 0.5508418440377628   accuracy 0.6847545219638242   precision 0.5472754289621102   recall 0.5564767280726112
deviation 4/5   iterations 420/2000   F1 0.5441075913967834   accuracy 0.6666666666666666   precision 0.5399150208685874   recall 0.5596084304235256
deviation 4/5   iterations 430/2000   F1 0.5490169725645662   accuracy 0.6705426356589147   precision 0.5443524269611226   recall 0.5610943278635222
deviation 4/5   iterations 440/2000   F1 0.5375273658168771   accuracy 0.6602067183462532   precision 0.5353522403522404   recall 0.5484975051401172
deviation 4/5   iterations 450/2000   F1 0.5379098550397302   accuracy 0.6589147286821705   precision 0.5343733638459804   recall 0.5504662813310631
deviation 4/5   iterations 460/2000   F1 0.5239366428719529   accuracy 0.6162790697674418   precision 0.5295420264616983   recall 0.5531467502956914
deviation 4/5   iterations 470/2000   F1 0.553979895388346   accuracy 0.6627906976744186   precision 0.5535882813993319   recall 0.5737716167149505
deviation 4/5   iterations 480/2000   F1 0.5304663606844292   accuracy 0.6666666666666666   precision 0.534890835305773   recall 0.5329406110785503
deviation 4/5   iterations 490/2000   F1 0.5334693410579902   accuracy 0.6421188630490956   precision 0.5315022268914631   recall 0.554562511441726
deviation 4/5   iterations 500/2000   F1 0.5345393567847868   accuracy 0.6537467700258398   precision 0.5391454476891635   recall 0.5470332921533679
deviation 4/5   iterations 510/2000   F1 0.5400771744802396   accuracy 0.661498708010336   precision 0.5397614592482275   recall 0.5519880462504383
deviation 4/5   iterations 520/2000   F1 0.5224426599485645   accuracy 0.6266149870801033   precision 0.5284730649273234   recall 0.5429237398360787
deviation 4/5   iterations 530/2000   F1 0.5345471001619436   accuracy 0.6434108527131783   precision 0.5338589871125979   recall 0.553729894023281
deviation 4/5   iterations 540/2000   F1 0.546571383772507   accuracy 0.6511627906976745   precision 0.5419333219426199   recall 0.5683313604170105
deviation 4/5   iterations 550/2000   F1 0.5484571534436856   accuracy 0.6692506459948321   precision 0.544321900865458   recall 0.5595366954647684
deviation 4/5   iterations 560/2000   F1 0.5350542461653572   accuracy 0.661498708010336   precision 0.5319832580909525   recall 0.5489189787663702
deviation 4/5   iterations 570/2000   F1 0.5360779863860011   accuracy 0.6472868217054264   precision 0.5327346982115037   recall 0.5547406190964691
deviation 4/5   iterations 580/2000   F1 0.5359892629037523   accuracy 0.6498708010335917   precision 0.5412520259091372   recall 0.5502099620755719
deviation 4/5   iterations 590/2000   F1 0.5354688627056222   accuracy 0.6679586563307494   precision 0.5312387350949878   recall 0.5430087970014623
deviation 4/5   iterations 600/2000   F1 0.5446470672421455   accuracy 0.6550387596899225   precision 0.5415842351589325   recall 0.5633575453166131
deviation 4/5   iterations 610/2000   F1 0.5400564034196021   accuracy 0.6498708010335917   precision 0.5361516726129066   recall 0.5588562791331039
deviation 4/5   iterations 620/2000   F1 0.5391134074485544   accuracy 0.665374677002584   precision 0.5351389000151316   recall 0.5486756127948604
deviation 4/5   iterations 630/2000   F1 0.5351265978348768   accuracy 0.6524547803617571   precision 0.5374842741223297   recall 0.5480695548718736
deviation 4/5   iterations 640/2000   F1 0.5397144519659952   accuracy 0.686046511627907   precision 0.5398939381572508   recall 0.5395376858171133
deviation 4/5   iterations 650/2000   F1 0.5348210206629717   accuracy 0.6757105943152455   precision 0.5332075422761697   recall 0.5442334972087722
deviation 4/5   iterations 660/2000   F1 0.5332566513552733   accuracy 0.6782945736434108   precision 0.5326715454647225   recall 0.5412284582993206
deviation 4/5   iterations 670/2000   F1 0.5513833729835583   accuracy 0.686046511627907   precision 0.5477187850024304   recall 0.5578307151713043
deviation 4/5   iterations 680/2000   F1 0.5316053789258076   accuracy 0.6576227390180879   precision 0.5278903973918061   recall 0.5451107132758618
deviation 4/5   iterations 690/2000   F1 0.5434103275887661   accuracy 0.6666666666666666   precision 0.5378951809819003   recall 0.5553531536614466
deviation 4/5   iterations 700/2000   F1 0.5409513134252875   accuracy 0.661498708010336   precision 0.535876911792326   recall 0.5551750460067034
deviation 4/5   iterations 710/2000   F1 0.5395297881198099   accuracy 0.6731266149870802   precision 0.5350105037987535   recall 0.5473742996515977
deviation 4/5   iterations 720/2000   F1 0.5341232065468157   accuracy 0.6563307493540051   precision 0.5327825858903751   recall 0.5447571214162957
deviation 4/5   iterations 730/2000   F1 0.5291076031111416   accuracy 0.6602067183462532   precision 0.5287237572659322   recall 0.5345276343146922
deviation 4/5   iterations 740/2000   F1 0.5274857615328196   accuracy 0.6498708010335917   precision 0.5271718577671213   recall 0.5377657093615925
deviation 4/5   iterations 750/2000   F1 0.5339919838509172   accuracy 0.6576227390180879   precision 0.5293902939854919   recall 0.5461789902816757
deviation 4/5   iterations 760/2000   F1 0.5369301736273343   accuracy 0.6602067183462532   precision 0.5350954616930438   recall 0.5568722951309016
deviation 4/5   iterations 770/2000   F1 0.5491244924018908   accuracy 0.6808785529715762   precision 0.545197789349078   recall 0.5635692659234597
deviation 4/5   iterations 780/2000   F1 0.5451519145448648   accuracy 0.6640826873385013   precision 0.5414445253307254   recall 0.5610199694548447
deviation 4/5   iterations 790/2000   F1 0.5281318377308842   accuracy 0.6382428940568475   precision 0.5279959836413747   recall 0.5505506006511567
deviation 4/5   iterations 800/2000   F1 0.5453209054267484   accuracy 0.6576227390180879   precision 0.5425520589425229   recall 0.5629464015244211
deviation 4/5   iterations 810/2000   F1 0.5450935123865587   accuracy 0.6589147286821705   precision 0.5395621983606702   recall 0.559180480155282
deviation 4/5   iterations 820/2000   F1 0.5308184275533827   accuracy 0.6330749354005168   precision 0.5360188535157008   recall 0.5535094422471686
deviation 4/5   iterations 830/2000   F1 0.5465107702818635   accuracy 0.6692506459948321   precision 0.5483740651082879   recall 0.5553493004693761
deviation 4/5   iterations 840/2000   F1 0.5328866973624964   accuracy 0.6472868217054264   precision 0.5316425597845164   recall 0.5478235654504434
deviation 4/5   iterations 850/2000   F1 0.5331522657857741   accuracy 0.6369509043927648   precision 0.5313393569150148   recall 0.5561815489651761
deviation 4/5   iterations 860/2000   F1 0.5447864892309336   accuracy 0.6731266149870802   precision 0.5401261347728349   recall 0.5526299716528037
deviation 4/5   iterations 870/2000   F1 0.5466952848130332   accuracy 0.6718346253229974   precision 0.5425606527580212   recall 0.5530052479656171
deviation 4/5   iterations 880/2000   F1 0.5422856693860151   accuracy 0.6511627906976745   precision 0.5390945768227716   recall 0.5612106614709241
deviation 4/5   iterations 890/2000   F1 0.5224187735229219   accuracy 0.6098191214470284   precision 0.5378567922014167   recall 0.5526150507813822
deviation 4/5   iterations 900/2000   F1 0.5498421250804918   accuracy 0.6640826873385013   precision 0.5440996183203225   recall 0.5654110097502976
deviation 4/5   iterations 910/2000   F1 0.5464870758812356   accuracy 0.6821705426356589   precision 0.5438860380010734   recall 0.5496992911520299
deviation 4/5   iterations 920/2000   F1 0.5341112671999663   accuracy 0.6395348837209303   precision 0.5320193693393226   recall 0.5574996685844905
deviation 4/5   iterations 930/2000   F1 0.5269952264999783   accuracy 0.6369509043927648   precision 0.5243226682473675   recall 0.5472637048408964
deviation 4/5   iterations 940/2000   F1 0.5473494752934146   accuracy 0.6692506459948321   precision 0.5438125101839182   recall 0.5578074320532619
deviation 4/5   iterations 950/2000   F1 0.5296315522332964   accuracy 0.661498708010336   precision 0.5251104182271977   recall 0.542730793292724
deviation 4/5   iterations 960/2000   F1 0.5187107023525869   accuracy 0.6524547803617571   precision 0.5152987590943795   recall 0.5317594847347599
deviation 4/5   iterations 970/2000   F1 0.5354860747269906   accuracy 0.6524547803617571   precision 0.5346366558450076   recall 0.5480016731051867
deviation 4/5   iterations 980/2000   F1 0.5359764955931404   accuracy 0.6382428940568475   precision 0.5340061987113423   recall 0.5569424314248637
deviation 4/5   iterations 990/2000   F1 0.5356550756900961   accuracy 0.6627906976744186   precision 0.5310122139547944   recall 0.5479505978145515
deviation 4/5   iterations 1000/2000   F1 0.5151910079231444   accuracy 0.603359173126615   precision 0.5237962951771227   recall 0.5454878751933052
deviation 4/5   iterations 1010/2000   F1 0.5067689944865984   accuracy 0.627906976744186   precision 0.5092321087518256   recall 0.5273066703919657
deviation 4/5   iterations 1020/2000   F1 0.5219510503090158   accuracy 0.6447028423772609   precision 0.5178370364937529   recall 0.5364514429343484
deviation 4/5   iterations 1030/2000   F1 0.5310853686428513   accuracy 0.6317829457364341   precision 0.5300895268241818   recall 0.5560713230771198
deviation 4/5   iterations 1040/2000   F1 0.5377188709594514   accuracy 0.6550387596899225   precision 0.532741236500635   recall 0.5517779243083868
deviation 4/5   iterations 1050/2000   F1 0.5298085794195635   accuracy 0.6459948320413437   precision 0.5266835061053166   recall 0.5477236693964483
deviation 4/5   iterations 1060/2000   F1 0.5271267384325373   accuracy 0.6602067183462532   precision 0.5249867622120052   recall 0.5343918707813183
deviation 4/5   iterations 1070/2000   F1 0.5268799694718175   accuracy 0.648578811369509   precision 0.5248494448725632   recall 0.5378694586076581
deviation 4/5   iterations 1080/2000   F1 0.5379923316916105   accuracy 0.6705426356589147   precision 0.5350977637279007   recall 0.5435301666817105
deviation 4/5   iterations 1090/2000   F1 0.54109776133187   accuracy 0.6627906976744186   precision 0.5369501088326268   recall 0.5524774016433782
deviation 4/5   iterations 1100/2000   F1 0.529808164650358   accuracy 0.6731266149870802   precision 0.5281890169569693   recall 0.542711732289397
deviation 4/5   iterations 1110/2000   F1 0.5176417751412292   accuracy 0.6085271317829457   precision 0.5261921563133941   recall 0.5456659828480483
deviation 4/5   iterations 1120/2000   F1 0.5022413683111887   accuracy 0.5775193798449613   precision 0.5285995304270575   recall 0.5414782189300112
deviation 4/5   iterations 1130/2000   F1 0.5373894427996667   accuracy 0.6343669250645995   precision 0.5378611572220594   recall 0.5637812734701413
deviation 4/5   iterations 1140/2000   F1 0.5284032805041208   accuracy 0.6447028423772609   precision 0.5267557986753546   recall 0.544504655352875
deviation 4/5   iterations 1150/2000   F1 0.5191121932241041   accuracy 0.6317829457364341   precision 0.5207029088001968   recall 0.534184003366542
deviation 4/5   iterations 1160/2000   F1 0.5111997635933807   accuracy 0.6459948320413437   precision 0.5157755589069964   recall 0.5121380059271932
deviation 4/5   iterations 1170/2000   F1 0.5314202614654423   accuracy 0.6395348837209303   precision 0.5288962832651881   recall 0.5547021281671701
deviation 4/5   iterations 1180/2000   F1 0.5261161080562391   accuracy 0.6524547803617571   precision 0.5246413788144907   recall 0.5447968420877447
deviation 4/5   iterations 1190/2000   F1 0.5162236547040467   accuracy 0.6253229974160207   precision 0.5161180558162813   recall 0.5358389083693709
deviation 4/5   iterations 1200/2000   F1 0.5333268442432086   accuracy 0.6382428940568475   precision 0.5317453140460228   recall 0.5552131680133573
deviation 4/5   iterations 1210/2000   F1 0.5331297450679288   accuracy 0.6459948320413437   precision 0.5294582666760862   recall 0.5512500779861481
deviation 4/5   iterations 1220/2000   F1 0.5495967850032902   accuracy 0.6757105943152455   precision 0.5442097445038622   recall 0.561797658390584
deviation 4/5   iterations 1230/2000   F1 0.5273208317626253   accuracy 0.6395348837209303   precision 0.5270589409363333   recall 0.5443944294648188
deviation 4/5   iterations 1240/2000   F1 0.5014254369854493   accuracy 0.5968992248062015   precision 0.5106200102172851   recall 0.5260522104246226
deviation 4/5   iterations 1250/2000   F1 0.5461108513258434   accuracy 0.6589147286821705   precision 0.5471070177364109   recall 0.5603166389277829
deviation 4/5   iterations 1260/2000   F1 0.520978151416139   accuracy 0.6201550387596899   precision 0.5225353711318667   recall 0.5464436717837877
deviation 4/5   iterations 1270/2000   F1 0.5494099730199817   accuracy 0.6886304909560723   precision 0.5566570028935621   recall 0.5580805577848048
deviation 4/5   iterations 1280/2000   F1 0.5309455486394951   accuracy 0.661498708010336   precision 0.5258018021272911   recall 0.5435954249984772
deviation 4/5   iterations 1290/2000   F1 0.5283080836486908   accuracy 0.6472868217054264   precision 0.5244077221407196   recall 0.5456870114388156
deviation 4/5   iterations 1300/2000   F1 0.5334081556303779   accuracy 0.6640826873385013   precision 0.5294425510391535   recall 0.5484399532074914
deviation 4/5   iterations 1310/2000   F1 0.5349543615598661   accuracy 0.648578811369509   precision 0.5318556573222532   recall 0.5543653427836558
deviation 4/5   iterations 1320/2000   F1 0.5518397085610202   accuracy 0.6782945736434108   precision 0.5476257352804649   recall 0.5649129231880918
deviation 4/5   iterations 1330/2000   F1 0.5597341178402871   accuracy 0.6692506459948321   precision 0.5522880411071792   recall 0.576100461407453
deviation 4/5   iterations 1340/2000   F1 0.53913023408856   accuracy 0.6563307493540051   precision 0.5367450010307153   recall 0.5575229517025329
deviation 4/5   iterations 1350/2000   F1 0.5440326941986234   accuracy 0.6576227390180879   precision 0.5384541816475539   recall 0.5584874794622813
deviation 4/5   iterations 1360/2000   F1 0.5475530391032106   accuracy 0.6627906976744186   precision 0.5411582724140959   recall 0.5619883504066635
deviation 4/5   iterations 1370/2000   F1 0.5278636888296541   accuracy 0.6343669250645995   precision 0.5341382343315333   recall 0.5472853892941436
deviation 4/5   iterations 1380/2000   F1 0.5328754578754579   accuracy 0.6537467700258398   precision 0.5278601359320779   recall 0.5466260015532464
deviation 4/5   iterations 1390/2000   F1 0.5389145450310785   accuracy 0.6640826873385013   precision 0.5339411524568662   recall 0.552102125330565
deviation 4/5   iterations 1400/2000   F1 0.534825790257753   accuracy 0.6459948320413437   precision 0.5295143906758238   recall 0.5505212098137687
deviation 4/5   iterations 1410/2000   F1 0.5439425983744672   accuracy 0.6589147286821705   precision 0.5376413465261468   recall 0.5590447166219081
deviation 4/5   iterations 1420/2000   F1 0.5305818702370426   accuracy 0.6550387596899225   precision 0.5253487097697623   recall 0.5411986985392877
deviation 4/5   iterations 1430/2000   F1 0.5427834529412213   accuracy 0.6589147286821705   precision 0.5364959285376859   recall 0.5564508215046485
deviation 4/5   iterations 1440/2000   F1 0.5225640542713713   accuracy 0.6330749354005168   precision 0.519745077836364   recall 0.5392680443549958
deviation 4/5   iterations 1450/2000   F1 0.5452236314089128   accuracy 0.6731266149870802   precision 0.5402901192374876   recall 0.5543592350643102
deviation 4/5   iterations 1460/2000   F1 0.5222180271309166   accuracy 0.6434108527131783   precision 0.5220375932314413   recall 0.54087835070918
deviation 4/5   iterations 1470/2000   F1 0.527390686254754   accuracy 0.6550387596899225   precision 0.522515405881355   recall 0.5359430265380816
deviation 4/5   iterations 1480/2000   F1 0.5498332149973226   accuracy 0.6640826873385013   precision 0.5452025324236277   recall 0.563885391638852
deviation 4/5   iterations 1490/2000   F1 0.546217108704102   accuracy 0.6589147286821705   precision 0.5398914287349686   recall 0.5609776253334754
deviation 4/5   iterations 1500/2000   F1 0.527524013743095   accuracy 0.6330749354005168   precision 0.5271239380309845   recall 0.5521696381746067
deviation 4/5   iterations 1510/2000   F1 0.5424634898912141   accuracy 0.6834625322997416   precision 0.539397925436265   recall 0.550985396484036
deviation 4/5   iterations 1520/2000   F1 0.5508428493089551   accuracy 0.6563307493540051   precision 0.548067000079384   recall 0.570374495016634
deviation 4/5   iterations 1530/2000   F1 0.5264105173145439   accuracy 0.6304909560723514   precision 0.5248762670470509   recall 0.5507836367886054
deviation 4/5   iterations 1540/2000   F1 0.5348799256467133   accuracy 0.6692506459948321   precision 0.5326753193728876   recall 0.5409042572771426
deviation 4/5   iterations 1550/2000   F1 0.5179023798071417   accuracy 0.6072351421188631   precision 0.5315323154821269   recall 0.5487030360448082
deviation 4/5   iterations 1560/2000   F1 0.5237689997359838   accuracy 0.6188630490956072   precision 0.5299441699700859   recall 0.5522782653978678
deviation 4/5   iterations 1570/2000   F1 0.5249464648157458   accuracy 0.6498708010335917   precision 0.5207200088097724   recall 0.5349002871775852
deviation 4/5   iterations 1580/2000   F1 0.525485583303173   accuracy 0.6550387596899225   precision 0.5209755659360402   recall 0.533349131420822
deviation 4/5   iterations 1590/2000   F1 0.5309237762609355   accuracy 0.6666666666666666   precision 0.5273378873959751   recall 0.5360597290681285
deviation 4/5   iterations 1600/2000   F1 0.5220287373377314   accuracy 0.6511627906976745   precision 0.517463027857421   recall 0.5303376158693798
deviation 4/5   iterations 1610/2000   F1 0.5277170582154646   accuracy 0.648578811369509   precision 0.522399934265137   recall 0.5378015768409711
deviation 4/5   iterations 1620/2000   F1 0.54121978803237   accuracy 0.6602067183462532   precision 0.536238188513153   recall 0.5494979003792443
deviation 4/5   iterations 1630/2000   F1 0.5397310407254512   accuracy 0.6421188630490956   precision 0.5338652789852063   recall 0.5607506969153722
deviation 4/5   iterations 1640/2000   F1 0.5279040370917397   accuracy 0.6472868217054264   precision 0.5229339363133272   recall 0.5389057213261638
deviation 4/5   iterations 1650/2000   F1 0.5377251596535334   accuracy 0.6705426356589147   precision 0.5345622094025416   recall 0.5417330215035172
deviation 4/5   iterations 1660/2000   F1 0.5419790636130494   accuracy 0.6421188630490956   precision 0.5357958192384422   recall 0.5642771055050719
deviation 4/5   iterations 1670/2000   F1 0.5370420022032926   accuracy 0.648578811369509   precision 0.5308610640827406   recall 0.55190721119977
deviation 4/5   iterations 1680/2000   F1 0.5283908379556395   accuracy 0.6291989664082688   precision 0.523288675823238   recall 0.5495654132232861
deviation 4/5   iterations 1690/2000   F1 0.5311594202898551   accuracy 0.6550387596899225   precision 0.526306184717295   recall 0.5395373168944682
deviation 4/5   iterations 1700/2000   F1 0.5422370657664776   accuracy 0.665374677002584   precision 0.5369883834450764   recall 0.5529308895569395
deviation 4/5   iterations 1710/2000   F1 0.5212816864761466   accuracy 0.6472868217054264   precision 0.5178738782809672   recall 0.5334464040248968
deviation 4/5   iterations 1720/2000   F1 0.5300367192816046   accuracy 0.6602067183462532   precision 0.5381454122802789   recall 0.5479544510066218
deviation 4/5   iterations 1730/2000   F1 0.5288502436593873   accuracy 0.6550387596899225   precision 0.5257779864558332   recall 0.5419954484783539
deviation 4/5   iterations 1740/2000   F1 0.5391793458572686   accuracy 0.6447028423772609   precision 0.5404653964373066   recall 0.5598143302508617
deviation 4/5   iterations 1750/2000   F1 0.5403047897343062   accuracy 0.6679586563307494   precision 0.5360952762879926   recall 0.5464673238244752
deviation 4/5   iterations 1760/2000   F1 0.5406286882975001   accuracy 0.6537467700258398   precision 0.5344499553876031   recall 0.5521532006212001
deviation 4/5   iterations 1770/2000   F1 0.5214069786492553   accuracy 0.627906976744186   precision 0.5175616351063922   recall 0.5407513183450721
deviation 4/5   iterations 1780/2000   F1 0.5439361508250088   accuracy 0.6692506459948321   precision 0.5474182389327199   recall 0.5522123512186211
deviation 4/5   iterations 1790/2000   F1 0.5407532923895468   accuracy 0.665374677002584   precision 0.5363874659042788   recall 0.546878467616667
deviation 4/5   iterations 1800/2000   F1 0.5283137022515012   accuracy 0.6576227390180879   precision 0.5256377174185393   recall 0.5355997645125765
deviation 4/5   iterations 1810/2000   F1 0.5452364941071816   accuracy 0.665374677002584   precision 0.5424275571872826   recall 0.5529308895569395
deviation 4/5   iterations 1820/2000   F1 0.5700857456523125   accuracy 0.6782945736434108   precision 0.5671196844152818   recall 0.5791543210802645
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deviation 4/5   iterations 1830/2000   F1 0.5299794409156463   accuracy 0.6447028423772609   precision 0.527557474490163   recall 0.5430469190081162
deviation 4/5   iterations 1840/2000   F1 0.5276678761783233   accuracy 0.6317829457364341   precision 0.5248000055361789   recall 0.5466282560805215
deviation 4/5   iterations 1850/2000   F1 0.5121882719982964   accuracy 0.6214470284237726   precision 0.5094650038979935   recall 0.5310981294064223
deviation 4/5   iterations 1860/2000   F1 0.5377579718756189   accuracy 0.6679586563307494   precision 0.5358808217504146   recall 0.5497222053474271
deviation 4/5   iterations 1870/2000   F1 0.5361737653863035   accuracy 0.6757105943152455   precision 0.5345596432552955   recall 0.5459627606202787
deviation 4/5   iterations 1880/2000   F1 0.5333409069924527   accuracy 0.648578811369509   precision 0.5285609409665963   recall 0.5482450390766965
deviation 4/5   iterations 1890/2000   F1 0.5339395626814386   accuracy 0.665374677002584   precision 0.530257957145829   recall 0.5389610187315145
deviation 4/5   iterations 1900/2000   F1 0.5433379518177478   accuracy 0.6602067183462532   precision 0.5392707570439449   recall 0.5521596772631908
deviation 4/5   iterations 1910/2000   F1 0.524860130123288   accuracy 0.6317829457364341   precision 0.5274100132902987   recall 0.546103033208203
deviation 4/5   iterations 1920/2000   F1 0.5181058402701167   accuracy 0.6434108527131783   precision 0.5167187001489032   recall 0.5330287835907143
deviation 4/5   iterations 1930/2000   F1 0.5102193076209587   accuracy 0.6459948320413437   precision 0.5168333606602175   recall 0.5280908359696955
deviation 4/5   iterations 1940/2000   F1 0.5202437402249671   accuracy 0.6421188630490956   precision 0.5175438596491229   recall 0.5294203102081961
deviation 4/5   iterations 1950/2000   F1 0.5089690904978276   accuracy 0.6046511627906976   precision 0.5104866935070378   recall 0.5322110050608808
deviation 4/5   iterations 1960/2000   F1 0.5173662533128943   accuracy 0.6201550387596899   precision 0.5182024589919326   recall 0.5370006047871895
deviation 4/5   iterations 1970/2000   F1 0.509607453588674   accuracy 0.6085271317829457   precision 0.5107602421073923   recall 0.5323570984283158
deviation 4/5   iterations 1980/2000   F1 0.5272195272195273   accuracy 0.6395348837209303   precision 0.5226527545529706   recall 0.5435297977590655
deviation 4/5   iterations 1990/2000   F1 0.5256643548663704   accuracy 0.6253229974160207   precision 0.5211813398873878   recall 0.547554292910971
deviation 4/5   iterations 2000/2000   F1 0.5430571443198556   accuracy 0.6602067183462532   precision 0.5378001530942708   recall 0.5521596772631908

deviation 5/5   iterations 10/2000   F1 0.2738416081767448   accuracy 0.31912144702842377   precision 0.47821431271606896   recall 0.41335720508795154
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deviation 5/5   iterations 20/2000   F1 0.46896679556907833   accuracy 0.5671834625322998   precision 0.4719168149445554   recall 0.48829375654171586
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deviation 5/5   iterations 30/2000   F1 0.4574019520279701   accuracy 0.5723514211886305   precision 0.4899214803700925   recall 0.4892864453967021
deviation 5/5   iterations 40/2000   F1 0.4635771100942272   accuracy 0.5322997416020672   precision 0.5283403080246506   recall 0.5276166064052021
deviation 5/5   iterations 50/2000   F1 0.4804277288656846   accuracy 0.5594315245478036   precision 0.5435682145203816   recall 0.5395078440742702
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deviation 5/5   iterations 60/2000   F1 0.5124208232164907   accuracy 0.5943152454780362   precision 0.5442353891765812   recall 0.5632030077197473
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deviation 5/5   iterations 70/2000   F1 0.4967284819538223   accuracy 0.5813953488372093   precision 0.550696205347213   recall 0.5671916353922742
deviation 5/5   iterations 80/2000   F1 0.5011173746234533   accuracy 0.5762273901808785   precision 0.5592350310170637   recall 0.5784573852123834
deviation 5/5   iterations 90/2000   F1 0.5162227022009603   accuracy 0.6046511627906976   precision 0.5407220094859237   recall 0.5643559729683
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deviation 5/5   iterations 100/2000   F1 0.5409605371094459   accuracy 0.6395348837209303   precision 0.546317627434017   recall 0.5704190936652784
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deviation 5/5   iterations 110/2000   F1 0.5221460843930038   accuracy 0.5981912144702842   precision 0.5500426607792105   recall 0.5810490258023678
deviation 5/5   iterations 120/2000   F1 0.5045229779324838   accuracy 0.5749354005167958   precision 0.5547922282964761   recall 0.5749668441020623
deviation 5/5   iterations 130/2000   F1 0.5242454898645125   accuracy 0.6007751937984496   precision 0.5458310400519709   recall 0.5707196426467691
deviation 5/5   iterations 140/2000   F1 0.5461318977050852   accuracy 0.6447028423772609   precision 0.5489715221274829   recall 0.5721907011981542
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deviation 5/5   iterations 150/2000   F1 0.5490156320906835   accuracy 0.6434108527131783   precision 0.5486308597269688   recall 0.5801440175626854
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deviation 5/5   iterations 160/2000   F1 0.5355340094057434   accuracy 0.6020671834625323   precision 0.5555883849760089   recall 0.5968942534067342
deviation 5/5   iterations 170/2000   F1 0.5024619599064771   accuracy 0.5710594315245479   precision 0.5528439605809822   recall 0.5684289199609204
deviation 5/5   iterations 180/2000   F1 0.5076627551487252   accuracy 0.5697674418604651   precision 0.5557645163849835   recall 0.5746529729139453
deviation 5/5   iterations 190/2000   F1 0.5235200875958615   accuracy 0.5956072351421189   precision 0.5418259545791584   recall 0.5729996665759117
deviation 5/5   iterations 200/2000   F1 0.5423063478839073   accuracy 0.6356589147286822   precision 0.5425242319844344   recall 0.5740531046931142
deviation 5/5   iterations 210/2000   F1 0.5487767584097859   accuracy 0.6434108527131783   precision 0.5495193768851058   recall 0.5801440175626854
deviation 5/5   iterations 220/2000   F1 0.5486262410734023   accuracy 0.6382428940568475   precision 0.5608786119900456   recall 0.5908845445104761
deviation 5/5   iterations 230/2000   F1 0.5389039980731639   accuracy 0.6188630490956072   precision 0.5499495493088851   recall 0.5846769291108579
deviation 5/5   iterations 240/2000   F1 0.5466359521485539   accuracy 0.6472868217054264   precision 0.545231191572655   recall 0.573237293750721
deviation 5/5   iterations 250/2000   F1 0.5450381671515611   accuracy 0.6421188630490956   precision 0.5449640813868456   recall 0.574924213040858
deviation 5/5   iterations 260/2000   F1 0.5474287353693179   accuracy 0.6447028423772609   precision 0.5467106427637592   recall 0.5773106096659865
deviation 5/5   iterations 270/2000   F1 0.541153237966942   accuracy 0.6149870801033591   precision 0.5642600650273284   recall 0.5959746932182753
deviation 5/5   iterations 280/2000   F1 0.5249196670538133   accuracy 0.5852713178294574   precision 0.5545321764480287   recall 0.5905470212816718
deviation 5/5   iterations 290/2000   F1 0.5404262363808735   accuracy 0.6291989664082688   precision 0.5455615331379801   recall 0.5759116549960037
deviation 5/5   iterations 300/2000   F1 0.5337231471455405   accuracy 0.6188630490956072   precision 0.5406737205872468   recall 0.5720969128635046
deviation 5/5   iterations 310/2000   F1 0.545584177870348   accuracy 0.6291989664082688   precision 0.5521235830387884   recall 0.5865587625317898
deviation 5/5   iterations 320/2000   F1 0.5487338937658541   accuracy 0.6356589147286822   precision 0.5530548354089104   recall 0.5873619891128469
deviation 5/5   iterations 330/2000   F1 0.5468771335042093   accuracy 0.627906976744186   precision 0.5544551141237264   recall 0.5911893156066822
deviation 5/5   iterations 340/2000   F1 0.5067033905760886   accuracy 0.5645994832041343   precision 0.5500070581652126   recall 0.5744069834925152
deviation 5/5   iterations 350/2000   F1 0.547677536301506   accuracy 0.6175710594315246   precision 0.5644349797813476   recall 0.606939525134249
deviation 5/5   iterations 360/2000   F1 0.5249039127969252   accuracy 0.5981912144702842   precision 0.537801690224515   recall 0.573385272722786
deviation 5/5   iterations 370/2000   F1 0.5417740112736181   accuracy 0.6291989664082688   precision 0.5529612870789341   recall 0.5823713675363976
deviation 5/5   iterations 380/2000   F1 0.5485380568122885   accuracy 0.6537467700258398   precision 0.5499028129654656   recall 0.5734474156927724
deviation 5/5   iterations 390/2000   F1 0.5086719419213122   accuracy 0.5762273901808785   precision 0.5284002820942005   recall 0.5590103658245146
deviation 5/5   iterations 400/2000   F1 0.5233109588410264   accuracy 0.582687338501292   precision 0.5703920929727381   recall 0.5893646651957312
deviation 5/5   iterations 410/2000   F1 0.4797175869190182   accuracy 0.524547803617571   precision 0.5583105388446956   recall 0.5602483062556409
deviation 5/5   iterations 420/2000   F1 0.5051725349638063   accuracy 0.5697674418604651   precision 0.5634381042564075   recall 0.5676680375012327
deviation 5/5   iterations 430/2000   F1 0.48540345797121476   accuracy 0.5400516795865633   precision 0.5525915655226   recall 0.5606468656864966
deviation 5/5   iterations 440/2000   F1 0.5061831662734685   accuracy 0.5671834625322998   precision 0.5566102315511299   recall 0.563484495697911
deviation 5/5   iterations 450/2000   F1 0.5176740198249052   accuracy 0.5956072351421189   precision 0.5384714872169957   recall 0.5617594544011201
deviation 5/5   iterations 460/2000   F1 0.5171736872907123   accuracy 0.5956072351421189   precision 0.536800868951524   recall 0.5589619139837997
deviation 5/5   iterations 470/2000   F1 0.5055873120736935   accuracy 0.5697674418604651   precision 0.539898780768346   recall 0.5576140346044521
deviation 5/5   iterations 480/2000   F1 0.5164512168065551   accuracy 0.5930232558139535   precision 0.5354323308270676   recall 0.5602376894817449
deviation 5/5   iterations 490/2000   F1 0.5073094425690466   accuracy 0.5775193798449613   precision 0.5310067300902005   recall 0.553650944577243
deviation 5/5   iterations 500/2000   F1 0.5345300127528599   accuracy 0.6266149870801033   precision 0.5378597737985377   recall 0.5681338228362953
deviation 5/5   iterations 510/2000   F1 0.5227885374639821   accuracy 0.599483204134367   precision 0.5510298130987786   recall 0.562905943007682
deviation 5/5   iterations 520/2000   F1 0.5112435890342985   accuracy 0.5904392764857881   precision 0.5492302543507362   recall 0.553935424927972
deviation 5/5   iterations 530/2000   F1 0.5105439437298454   accuracy 0.5775193798449613   precision 0.5381495853600603   recall 0.5598391300508891
deviation 5/5   iterations 540/2000   F1 0.5632819106693363   accuracy 0.6576227390180879   precision 0.558505885730692   recall 0.5944804335316579
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deviation 5/5   iterations 550/2000   F1 0.5408393529954837   accuracy 0.6330749354005168   precision 0.5478210261020844   recall 0.5746000120186799
deviation 5/5   iterations 560/2000   F1 0.4965308806156126   accuracy 0.5594315245478036   precision 0.5436314501334407   recall 0.549611897476561
deviation 5/5   iterations 570/2000   F1 0.5153882985421249   accuracy 0.5930232558139535   precision 0.5332228537415165   recall 0.555710885652918
deviation 5/5   iterations 580/2000   F1 0.539616068104858   accuracy 0.6227390180878553   precision 0.545888235579615   recall 0.580296218649466
deviation 5/5   iterations 590/2000   F1 0.5560167603638105   accuracy 0.6537467700258398   precision 0.5521461058088842   recall 0.5844839825675031
deviation 5/5   iterations 600/2000   F1 0.5373801285809673   accuracy 0.6188630490956072   precision 0.541603127315374   recall 0.5790139665095302
deviation 5/5   iterations 610/2000   F1 0.5375898030195645   accuracy 0.6317829457364341   precision 0.5400471713005617   recall 0.5700411939025449
deviation 5/5   iterations 620/2000   F1 0.5348043986596912   accuracy 0.6266149870801033   precision 0.5408023062696165   recall 0.5666760864915367
deviation 5/5   iterations 630/2000   F1 0.5307854065705279   accuracy 0.6188630490956072   precision 0.539077902298521   recall 0.5650440956841051
deviation 5/5   iterations 640/2000   F1 0.5403098565673976   accuracy 0.6253229974160207   precision 0.5479712675992908   recall 0.5801566019240217
deviation 5/5   iterations 650/2000   F1 0.536840494607897   accuracy 0.6136950904392765   precision 0.5607200627885264   recall 0.581972808105542
deviation 5/5   iterations 660/2000   F1 0.5312113407726745   accuracy 0.6020671834625323   precision 0.5480168097235683   recall 0.5806520650363073
deviation 5/5   iterations 670/2000   F1 0.555258074959963   accuracy 0.6524547803617571   precision 0.5538108701487485   recall 0.5847913771136296
deviation 5/5   iterations 680/2000   F1 0.5250352304206019   accuracy 0.6098191214470284   precision 0.5450795463550766   recall 0.5613971313722881
deviation 5/5   iterations 690/2000   F1 0.5171122994652406   accuracy 0.5839793281653747   precision 0.5446037743157249   recall 0.5666947785722186
deviation 5/5   iterations 700/2000   F1 0.5470567246281884   accuracy 0.6408268733850129   precision 0.5444311785775201   recall 0.5776218574041833
deviation 5/5   iterations 710/2000   F1 0.5523301409837061   accuracy 0.648578811369509   precision 0.5512745561631803   recall 0.5826444932679405
deviation 5/5   iterations 720/2000   F1 0.5389728386072347   accuracy 0.6253229974160207   precision 0.5471624053771033   recall 0.5774948250400752
deviation 5/5   iterations 730/2000   F1 0.5194876922869897   accuracy 0.5981912144702842   precision 0.5434626325477048   recall 0.5578219020192284
deviation 5/5   iterations 740/2000   F1 0.558811084196641   accuracy 0.6537467700258398   precision 0.5548974821287195   recall 0.5898075363353962
deviation 5/5   iterations 750/2000   F1 0.528428904529486   accuracy 0.6098191214470284   precision 0.5459701733306633   recall 0.5683820667850007
deviation 5/5   iterations 760/2000   F1 0.4804151732105281   accuracy 0.5361757105943152   precision 0.5391077406760862   recall 0.5318822130013423
deviation 5/5   iterations 770/2000   F1 0.5174076267085385   accuracy 0.5981912144702842   precision 0.5348031205247114   recall 0.555024361601908
deviation 5/5   iterations 780/2000   F1 0.5201352326112065   accuracy 0.599483204134367   precision 0.5369812410316704   recall 0.5609051525294279
deviation 5/5   iterations 790/2000   F1 0.5233356208080284   accuracy 0.6085271317829457   precision 0.5361460369036126   recall 0.5597716172068473
deviation 5/5   iterations 800/2000   F1 0.5305482587493585   accuracy 0.6149870801033591   precision 0.5419570563477484   recall 0.5674918974339298
deviation 5/5   iterations 810/2000   F1 0.5477789177571831   accuracy 0.6408268733850129   precision 0.5480045094832734   recall 0.5803515160548166
deviation 5/5   iterations 820/2000   F1 0.48160067197170964   accuracy 0.5503875968992248   precision 0.5305306596128162   recall 0.5228056911482913
deviation 5/5   iterations 830/2000   F1 0.5446664387115031   accuracy 0.6434108527131783   precision 0.5442584873619356   recall 0.5728875550832253
deviation 5/5   iterations 840/2000   F1 0.5134304011917025   accuracy 0.5956072351421189   precision 0.5457327226879295   recall 0.553113137343588
deviation 5/5   iterations 850/2000   F1 0.5536271001493467   accuracy 0.6472868217054264   precision 0.5488836354084582   recall 0.5836807559864462
deviation 5/5   iterations 860/2000   F1 0.5252931149212327   accuracy 0.6136950904392765   precision 0.5380776947557769   recall 0.5598818430949035
deviation 5/5   iterations 870/2000   F1 0.5493271184845836   accuracy 0.6395348837209303   precision 0.5540787092511231   recall 0.5841853191906426
deviation 5/5   iterations 880/2000   F1 0.5109180914524648   accuracy 0.6020671834625323   precision 0.5221650966997208   recall 0.5412684659106047
deviation 5/5   iterations 890/2000   F1 0.5331479484332787   accuracy 0.6227390180878553   precision 0.5403678590912634   recall 0.5663263478240409
deviation 5/5   iterations 900/2000   F1 0.5509729454271082   accuracy 0.648578811369509   precision 0.5457602339181287   recall 0.5772530577333606
deviation 5/5   iterations 910/2000   F1 0.5648808827402169   accuracy 0.6602067183462532   precision 0.5619822191693796   recall 0.5942729350395267
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deviation 5/5   iterations 920/2000   F1 0.551138048344102   accuracy 0.6395348837209303   precision 0.5575087792527512   recall 0.5886442412527826
deviation 5/5   iterations 930/2000   F1 0.5284210485352262   accuracy 0.6085271317829457   precision 0.5465566115417823   recall 0.5694183295035063
deviation 5/5   iterations 940/2000   F1 0.5429948215448541   accuracy 0.627906976744186   precision 0.5530506889575938   recall 0.5833397484882165
deviation 5/5   iterations 950/2000   F1 0.5652136860022415   accuracy 0.6679586563307494   precision 0.5586704808984962   recall 0.5885126998341242
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deviation 5/5   iterations 960/2000   F1 0.5283355041285134   accuracy 0.6072351421188631   precision 0.5440563384462402   recall 0.5731842508726456
deviation 5/5   iterations 970/2000   F1 0.5423047575003941   accuracy 0.6356589147286822   precision 0.5400833110661526   recall 0.5730527094539871
deviation 5/5   iterations 980/2000   F1 0.5529984955280207   accuracy 0.6459948320413437   precision 0.5623470732166385   recall 0.5868535727165799
deviation 5/5   iterations 990/2000   F1 0.5575352961491576   accuracy 0.6731266149870802   precision 0.5521629372229773   recall 0.5721270415461827
deviation 5/5   iterations 1000/2000   F1 0.5323205591121781   accuracy 0.6227390180878553   precision 0.5423196378875049   recall 0.5663942295907278
deviation 5/5   iterations 1010/2000   F1 0.5225805015789047   accuracy 0.6149870801033591   precision 0.5372068786778272   recall 0.5563195670258252
deviation 5/5   iterations 1020/2000   F1 0.5404668855734855   accuracy 0.6369509043927648   precision 0.5436483053595377   recall 0.5714912238631628
deviation 5/5   iterations 1030/2000   F1 0.5164076888288661   accuracy 0.6007751937984496   precision 0.539225067949991   recall 0.5512904545200771
deviation 5/5   iterations 1040/2000   F1 0.5443787774098827   accuracy 0.648578811369509   precision 0.5409723076586589   recall 0.5684709771424546
deviation 5/5   iterations 1050/2000   F1 0.5150090351588622   accuracy 0.599483204134367   precision 0.5304877396277804   recall 0.5494612950545755
deviation 5/5   iterations 1060/2000   F1 0.55778950270652   accuracy 0.6705426356589147   precision 0.5518707720937428   recall 0.5759967121613875
deviation 5/5   iterations 1070/2000   F1 0.5600969663705075   accuracy 0.6550387596899225   precision 0.5606669000327466   recall 0.5923655639732772
deviation 5/5   iterations 1080/2000   F1 0.5454603459857803   accuracy 0.6317829457364341   precision 0.5473184856673347   recall 0.58401106472797
deviation 5/5   iterations 1090/2000   F1 0.559529018837589   accuracy 0.6563307493540051   precision 0.5562702716206845   recall 0.5896000378432651
deviation 5/5   iterations 1100/2000   F1 0.5517608565736908   accuracy 0.6356589147286822   precision 0.5568417857028728   recall 0.593550174586493
deviation 5/5   iterations 1110/2000   F1 0.5706898904398905   accuracy 0.6757105943152455   precision 0.5638437892170297   recall 0.5943999674036348
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deviation 5/5   iterations 1120/2000   F1 0.5481913844095442   accuracy 0.6524547803617571   precision 0.5569570449264569   recall 0.5727544149997718
deviation 5/5   iterations 1130/2000   F1 0.5364136844892388   accuracy 0.6589147286821705   precision 0.5325835317976203   recall 0.5519918994425087
deviation 5/5   iterations 1140/2000   F1 0.533236485117068   accuracy 0.6227390180878553   precision 0.5494345933173127   recall 0.5656653614183486
deviation 5/5   iterations 1150/2000   F1 0.5575921539259019   accuracy 0.6563307493540051   precision 0.5535294569370052   recall 0.5858699839535045
deviation 5/5   iterations 1160/2000   F1 0.5538743015378529   accuracy 0.6511627906976745   precision 0.5605266435847372   recall 0.5833695082482495
deviation 5/5   iterations 1170/2000   F1 0.543167958686689   accuracy 0.6447028423772609   precision 0.5497861475663105   recall 0.5694610425475207
deviation 5/5   iterations 1180/2000   F1 0.5555685449302471   accuracy 0.6679586563307494   precision 0.5497308714417529   recall 0.5744749472420122
deviation 5/5   iterations 1190/2000   F1 0.5442052015011951   accuracy 0.6511627906976745   precision 0.5443097116627827   recall 0.5657374652997509
deviation 5/5   iterations 1200/2000   F1 0.547643081009438   accuracy 0.6459948320413437   precision 0.5510741214966567   recall 0.5762743469474807
deviation 5/5   iterations 1210/2000   F1 0.5361633818662678   accuracy 0.6188630490956072   precision 0.5492065883785927   recall 0.5756912032198912
deviation 5/5   iterations 1220/2000   F1 0.5487144597431763   accuracy 0.6718346253229974   precision 0.5434862123691911   recall 0.5624483149622154
deviation 5/5   iterations 1230/2000   F1 0.5612114335159275   accuracy 0.6847545219638242   precision 0.5556278827555423   recall 0.5754986255991816
deviation 5/5   iterations 1240/2000   F1 0.5455671680260741   accuracy 0.6408268733850129   precision 0.5474826336352693   recall 0.5758925939926768
deviation 5/5   iterations 1250/2000   F1 0.5498764627533429   accuracy 0.661498708010336   precision 0.5477096997813683   recall 0.5684839304264361
deviation 5/5   iterations 1260/2000   F1 0.5566096383012058   accuracy 0.665374677002584   precision 0.5515729055351245   recall 0.5768189997457713
deviation 5/5   iterations 1270/2000   F1 0.5606708453867539   accuracy 0.6602067183462532   precision 0.5587802840434419   recall 0.5890851448050075
deviation 5/5   iterations 1280/2000   F1 0.5527498525032474   accuracy 0.6602067183462532   precision 0.5539568098328012   recall 0.571453101856509
deviation 5/5   iterations 1290/2000   F1 0.5549313668539996   accuracy 0.6511627906976745   precision 0.5549105613621742   recall 0.5850308898930691
deviation 5/5   iterations 1300/2000   F1 0.5614805153666137   accuracy 0.6627906976744186   precision 0.5592708170801477   recall 0.5860122241288691
deviation 5/5   iterations 1310/2000   F1 0.5469560391926497   accuracy 0.6498708010335917   precision 0.5462539009492929   recall 0.5710968865470226
deviation 5/5   iterations 1320/2000   F1 0.5391416984464188   accuracy 0.6421188630490956   precision 0.536728851488948   recall 0.5649380919107644
deviation 5/5   iterations 1330/2000   F1 0.5414128014871963   accuracy 0.6317829457364341   precision 0.5537825145923924   recall 0.5757720382705596
deviation 5/5   iterations 1340/2000   F1 0.5619708739707666   accuracy 0.6976744186046512   precision 0.5587860494102467   recall 0.5666616165255701
deviation 5/5   iterations 1350/2000   F1 0.5384391950468559   accuracy 0.6369509043927648   precision 0.5508565714349919   recall 0.5671001835677099
deviation 5/5   iterations 1360/2000   F1 0.5492650894204605   accuracy 0.6291989664082688   precision 0.5596567560385876   recall 0.5916107892329352
deviation 5/5   iterations 1370/2000   F1 0.5709247527351253   accuracy 0.6834625322997416   precision 0.5677652703094581   recall 0.5848596278029615
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deviation 5/5   iterations 1380/2000   F1 0.5415366071350922   accuracy 0.6589147286821705   precision 0.5410708223563311   recall 0.5614349664391071
deviation 5/5   iterations 1390/2000   F1 0.5412499527908837   accuracy 0.6459948320413437   precision 0.5391823705076718   recall 0.5636264489334405
deviation 5/5   iterations 1400/2000   F1 0.5423841449070806   accuracy 0.6369509043927648   precision 0.5510094777405281   recall 0.5741530007471094
deviation 5/5   iterations 1410/2000   F1 0.5401555793081217   accuracy 0.6382428940568475   precision 0.5410546577160148   recall 0.5682505253663422
deviation 5/5   iterations 1420/2000   F1 0.5578515501803173   accuracy 0.6589147286821705   precision 0.5552900650090095   recall 0.5838653402831802
deviation 5/5   iterations 1430/2000   F1 0.537940490156167   accuracy 0.6343669250645995   precision 0.5394573240956363   recall 0.5671040367597803
deviation 5/5   iterations 1440/2000   F1 0.5348451606254693   accuracy 0.6666666666666666   precision 0.530218114132274   recall 0.5464353095371669
deviation 5/5   iterations 1450/2000   F1 0.550782206773667   accuracy 0.661498708010336   precision 0.547275641025641   recall 0.5686196939598099
deviation 5/5   iterations 1460/2000   F1 0.5557476533339673   accuracy 0.6550387596899225   precision 0.5614973983120756   recall 0.5856521556273123
deviation 5/5   iterations 1470/2000   F1 0.5043918988920847   accuracy 0.5697674418604651   precision 0.5436094284261824   recall 0.5523583626032461
deviation 5/5   iterations 1480/2000   F1 0.5604526767707462   accuracy 0.6925064599483204   precision 0.5574569039085168   recall 0.5640253772869412
deviation 5/5   iterations 1490/2000   F1 0.5669003243082021   accuracy 0.6782945736434108   precision 0.5644199636736951   recall 0.5848172836815922
deviation 5/5   iterations 1500/2000   F1 0.5458590515081244   accuracy 0.648578811369509   precision 0.543141472546875   recall 0.570336004087335
deviation 5/5   iterations 1510/2000   F1 0.5599080284964338   accuracy 0.6821705426356589   precision 0.5538370450425208   recall 0.5740447424464933
deviation 5/5   iterations 1520/2000   F1 0.5506393121190781   accuracy 0.6576227390180879   precision 0.5518324810458702   recall 0.5720000091820747
deviation 5/5   iterations 1530/2000   F1 0.5373599419251699   accuracy 0.6447028423772609   precision 0.5367429153405162   recall 0.5582708808782392
deviation 5/5   iterations 1540/2000   F1 0.5579978649746092   accuracy 0.6744186046511628   precision 0.5515332869505034   recall 0.5727521604724964
deviation 5/5   iterations 1550/2000   F1 0.549170443858686   accuracy 0.6472868217054264   precision 0.5553161565702623   recall 0.5770352294071683
deviation 5/5   iterations 1560/2000   F1 0.5657855046926605   accuracy 0.6757105943152455   precision 0.5588915470494418   recall 0.5840243869345964
deviation 5/5   iterations 1570/2000   F1 0.5259879549668287   accuracy 0.6175710594315246   precision 0.54796841217107   recall 0.5613677405349001
deviation 5/5   iterations 1580/2000   F1 0.552189928174054   accuracy 0.6692506459948321   precision 0.5544266556517153   recall 0.5685903031224219
deviation 5/5   iterations 1590/2000   F1 0.5512288383245775   accuracy 0.6731266149870802   precision 0.5460878183489559   recall 0.5656673290057888
deviation 5/5   iterations 1600/2000   F1 0.53181064986582   accuracy 0.6266149870801033   precision 0.5389659272613354   recall 0.5642858366743377
deviation 5/5   iterations 1610/2000   F1 0.5568724898550119   accuracy 0.6744186046511628   precision 0.5571142458675324   recall 0.5687005290104782
deviation 5/5   iterations 1620/2000   F1 0.5422512553211623   accuracy 0.6434108527131783   precision 0.5413925329212597   recall 0.5664278425428314
deviation 5/5   iterations 1630/2000   F1 0.543496241953465   accuracy 0.6472868217054264   precision 0.5504269590808052   recall 0.5701181757611428
deviation 5/5   iterations 1640/2000   F1 0.5717642548947287   accuracy 0.6950904392764858   precision 0.5674390546716709   recall 0.5835686444937598
update
deviation 5/5   iterations 1650/2000   F1 0.5681498521938103   accuracy 0.6705426356589147   precision 0.5602982638825457   recall 0.5908312146925657
deviation 5/5   iterations 1660/2000   F1 0.5561927640739749   accuracy 0.6770025839793282   precision 0.5578022118511806   recall 0.5664922400400929
deviation 5/5   iterations 1670/2000   F1 0.5555619082617599   accuracy 0.6589147286821705   precision 0.5481071503130327   recall 0.5758800096313405
deviation 5/5   iterations 1680/2000   F1 0.54009883774363   accuracy 0.648578811369509   precision 0.5364118708035396   recall 0.560689291790676
deviation 5/5   iterations 1690/2000   F1 0.5752852131498637   accuracy 0.6847545219638242   precision 0.5673718053908164   recall 0.5906725369637945
update
deviation 5/5   iterations 1700/2000   F1 0.5473690557986614   accuracy 0.6782945736434108   precision 0.5428246271237466   recall 0.5587926194811325
deviation 5/5   iterations 1710/2000   F1 0.5577413125234049   accuracy 0.6679586563307494   precision 0.5521746666639636   recall 0.5756111060145132
deviation 5/5   iterations 1720/2000   F1 0.5299143806562098   accuracy 0.6317829457364341   precision 0.5378668825186238   recall 0.5510871781426614
deviation 5/5   iterations 1730/2000   F1 0.5400213919095039   accuracy 0.6524547803617571   precision 0.5365170685791046   recall 0.5574447401017849
deviation 5/5   iterations 1740/2000   F1 0.5620200420567066   accuracy 0.6821705426356589   precision 0.5554630022070897   recall 0.5759097693913735
deviation 5/5   iterations 1750/2000   F1 0.5615698175291116   accuracy 0.6937984496124031   precision 0.5566399683247509   recall 0.568973654742021
deviation 5/5   iterations 1760/2000   F1 0.5354611211047243   accuracy 0.6369509043927648   precision 0.5391001912917895   recall 0.5581823394434302
deviation 5/5   iterations 1770/2000   F1 0.546964462896431   accuracy 0.6472868217054264   precision 0.5433955302551128   recall 0.5733051755174078
deviation 5/5   iterations 1780/2000   F1 0.5526465261564599   accuracy 0.6770025839793282   precision 0.5474646446857704   recall 0.5644235677951519
deviation 5/5   iterations 1790/2000   F1 0.5419115975714125   accuracy 0.6421188630490956   precision 0.5553489956288756   recall 0.5708725815788397
deviation 5/5   iterations 1800/2000   F1 0.5566895503615973   accuracy 0.6705426356589147   precision 0.5502416270586935   recall 0.573267053510754
deviation 5/5   iterations 1810/2000   F1 0.5507285189045027   accuracy 0.6757105943152455   precision 0.5461527899448217   recall 0.5612045537515784
deviation 5/5   iterations 1820/2000   F1 0.5585477488648589   accuracy 0.686046511627907   precision 0.5544145360731237   recall 0.566748559295584
deviation 5/5   iterations 1830/2000   F1 0.5401056226950615   accuracy 0.6447028423772609   precision 0.5362422172103027   recall 0.5629334482404399
deviation 5/5   iterations 1840/2000   F1 0.5522500265932334   accuracy 0.6666666666666666   precision 0.5470458098441423   recall 0.5693230244868717
deviation 5/5   iterations 1850/2000   F1 0.5515603582326537   accuracy 0.6782945736434108   precision 0.5510050251256281   recall 0.5592677918479408
deviation 5/5   iterations 1860/2000   F1 0.5564187054695322   accuracy 0.7028423772609819   precision 0.5607187387316938   recall 0.5545991167663947
deviation 5/5   iterations 1870/2000   F1 0.5512662453355347   accuracy 0.6770025839793282   precision 0.5458323742505452   recall 0.5608971592054521
deviation 5/5   iterations 1880/2000   F1 0.5061139969885627   accuracy 0.582687338501292   precision 0.5379665743729819   recall 0.5433855899962607
deviation 5/5   iterations 1890/2000   F1 0.5376616380599359   accuracy 0.6382428940568475   precision 0.5479097906967593   recall 0.5634021439652576
deviation 5/5   iterations 1900/2000   F1 0.5328125   accuracy 0.6395348837209303   precision 0.5488427684021179   recall 0.5555167093674133
deviation 5/5   iterations 1910/2000   F1 0.5371857053501566   accuracy 0.6563307493540051   precision 0.5325568730786122   recall 0.5516062932956344
deviation 5/5   iterations 1920/2000   F1 0.5393662419798966   accuracy 0.6498708010335917   precision 0.5362532244669579   recall 0.5603818972445496
deviation 5/5   iterations 1930/2000   F1 0.5472686542259612   accuracy 0.6666666666666666   precision 0.5421122994652406   recall 0.5632027207799123
deviation 5/5   iterations 1940/2000   F1 0.5528097105709978   accuracy 0.6770025839793282   precision 0.5488881109111201   recall 0.5636946996227725
deviation 5/5   iterations 1950/2000   F1 0.5471564012573477   accuracy 0.6912144702842378   precision 0.5456291337955216   recall 0.5492946240018286
deviation 5/5   iterations 1960/2000   F1 0.5158771169599848   accuracy 0.6046511627906976   precision 0.5331247361756015   recall 0.5453841259472396
deviation 5/5   iterations 1970/2000   F1 0.5051938408310145   accuracy 0.5852713178294574   precision 0.5311940745727092   recall 0.5421776962650026
deviation 5/5   iterations 1980/2000   F1 0.5389698126475463   accuracy 0.665374677002584   precision 0.5362667057034164   recall 0.5478788628557941
deviation 5/5   iterations 1990/2000   F1 0.5342519342438391   accuracy 0.6770025839793282   precision 0.5353850201968481   recall 0.5439939844293328
deviation 5/5   iterations 2000/2000   F1 0.5451977274538072   accuracy 0.6834625322997416   precision 0.5429093365263578   recall 0.5485951466668372

0.11505704262997274
