deviation 1/5   iterations 10/2000   F1 0.2945739393867119   accuracy 0.38144329896907214   precision 0.38525081817779266   recall 0.37778912399721337
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deviation 1/5   iterations 20/2000   F1 0.3728530565440116   accuracy 0.5927835051546392   precision 0.40461366538952753   recall 0.37774804145387414
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deviation 1/5   iterations 30/2000   F1 0.42508630095558647   accuracy 0.5567010309278351   precision 0.42411764705882354   recall 0.43279848666405263
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deviation 1/5   iterations 40/2000   F1 0.4038207676019547   accuracy 0.49871134020618557   precision 0.4204093483735587   recall 0.43106328869627464
deviation 1/5   iterations 50/2000   F1 0.425791018850948   accuracy 0.538659793814433   precision 0.42998949025439087   recall 0.44047819428989293
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deviation 1/5   iterations 60/2000   F1 0.4280747134856783   accuracy 0.5631443298969072   precision 0.42765203606999863   recall 0.4361637536334029
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deviation 1/5   iterations 70/2000   F1 0.44176189194635357   accuracy 0.5837628865979382   precision 0.44033915724563205   recall 0.45066405920772173
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deviation 1/5   iterations 80/2000   F1 0.45581308804075027   accuracy 0.6018041237113402   precision 0.4543444611485386   recall 0.4588133863131206
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deviation 1/5   iterations 90/2000   F1 0.45610992025960967   accuracy 0.6134020618556701   precision 0.46082296186557176   recall 0.4531064550895327
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deviation 1/5   iterations 100/2000   F1 0.4463477179944643   accuracy 0.6327319587628866   precision 0.45969348659003834   recall 0.45080851992503357
deviation 1/5   iterations 110/2000   F1 0.4594518297375591   accuracy 0.6353092783505154   precision 0.47683030966613055   recall 0.45369830429664776
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deviation 1/5   iterations 120/2000   F1 0.46745542141996727   accuracy 0.6443298969072165   precision 0.48516242303847595   recall 0.4610231711244687
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deviation 1/5   iterations 130/2000   F1 0.4677187948350072   accuracy 0.6314432989690721   precision 0.4713901018664985   recall 0.46689736408050225
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deviation 1/5   iterations 140/2000   F1 0.4710261959021957   accuracy 0.6275773195876289   precision 0.47365732528037546   recall 0.4709269956283125
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deviation 1/5   iterations 150/2000   F1 0.46439043101593275   accuracy 0.6443298969072165   precision 0.47686160047256676   recall 0.4599792510762282
deviation 1/5   iterations 160/2000   F1 0.47642580386286654   accuracy 0.6469072164948454   precision 0.485741042134904   recall 0.4718533683003187
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deviation 1/5   iterations 170/2000   F1 0.4718213714919413   accuracy 0.6417525773195877   precision 0.4774704817486693   recall 0.4714784951818605
deviation 1/5   iterations 180/2000   F1 0.4732469013702563   accuracy 0.6430412371134021   precision 0.4757802323525288   recall 0.4763716337456653
deviation 1/5   iterations 190/2000   F1 0.4723107625713241   accuracy 0.6481958762886598   precision 0.4792417482666049   recall 0.4697833618549603
deviation 1/5   iterations 200/2000   F1 0.48129857522731373   accuracy 0.6494845360824743   precision 0.4862114481093632   recall 0.4800145437903674
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deviation 1/5   iterations 210/2000   F1 0.48193995266594797   accuracy 0.6597938144329897   precision 0.4859192667089271   recall 0.48612822883750245
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deviation 1/5   iterations 220/2000   F1 0.4705261570933213   accuracy 0.6494845360824743   precision 0.47868185038936933   recall 0.46703962612849753
deviation 1/5   iterations 230/2000   F1 0.49285622676402036   accuracy 0.6533505154639175   precision 0.495886814201677   recall 0.4908625746173399
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deviation 1/5   iterations 240/2000   F1 0.4916692074945053   accuracy 0.6713917525773195   precision 0.5000374851933486   recall 0.4915860182546556
deviation 1/5   iterations 250/2000   F1 0.5047373970603979   accuracy 0.6623711340206185   precision 0.5078232275971036   recall 0.5026666601520909
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deviation 1/5   iterations 260/2000   F1 0.4919417241360784   accuracy 0.6778350515463918   precision 0.5036061259801773   recall 0.49323363589466096
deviation 1/5   iterations 270/2000   F1 0.5069099079988372   accuracy 0.6701030927835051   precision 0.5077202978957365   recall 0.5116913426581342
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deviation 1/5   iterations 280/2000   F1 0.5022249225555803   accuracy 0.6713917525773195   precision 0.5052162140511095   recall 0.5020770096142924
deviation 1/5   iterations 290/2000   F1 0.49787415663615514   accuracy 0.6739690721649485   precision 0.5007002776269579   recall 0.507476615726756
deviation 1/5   iterations 300/2000   F1 0.5054634799460347   accuracy 0.6791237113402062   precision 0.5075653923541248   recall 0.5069926641805417
deviation 1/5   iterations 310/2000   F1 0.5086436180859968   accuracy 0.6662371134020618   precision 0.5061975787465984   recall 0.5148621495412721
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deviation 1/5   iterations 320/2000   F1 0.5085614289068859   accuracy 0.6752577319587629   precision 0.5074148717302767   recall 0.5160826960246023
deviation 1/5   iterations 330/2000   F1 0.5093199794415563   accuracy 0.6791237113402062   precision 0.5082024613123938   recall 0.5147220861625933
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deviation 1/5   iterations 340/2000   F1 0.5154580025438714   accuracy 0.6688144329896907   precision 0.5153172226278447   recall 0.5265511713817944
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deviation 1/5   iterations 350/2000   F1 0.507590761651128   accuracy 0.6791237113402062   precision 0.5077285170418143   recall 0.5112867875039037
deviation 1/5   iterations 360/2000   F1 0.5108066413111549   accuracy 0.6726804123711341   precision 0.5085673309178743   recall 0.5182274165106223
deviation 1/5   iterations 370/2000   F1 0.5147637598641494   accuracy 0.6726804123711341   precision 0.5123809251988035   recall 0.5217552628610957
deviation 1/5   iterations 380/2000   F1 0.5115969972412043   accuracy 0.6817010309278351   precision 0.5112493601505776   recall 0.5178228613563917
deviation 1/5   iterations 390/2000   F1 0.5191441445318897   accuracy 0.6752577319587629   precision 0.5159683208489388   recall 0.5291501613782562
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deviation 1/5   iterations 400/2000   F1 0.52132904311622   accuracy 0.6855670103092784   precision 0.5198966050464915   recall 0.530295993820925
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deviation 1/5   iterations 410/2000   F1 0.5178567866301603   accuracy 0.6817010309278351   precision 0.5175070028011205   recall 0.5214432553986493
deviation 1/5   iterations 420/2000   F1 0.5255946909264987   accuracy 0.6894329896907216   precision 0.5246450891244544   recall 0.535805981276295
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deviation 1/5   iterations 430/2000   F1 0.528490844468732   accuracy 0.6881443298969072   precision 0.5268861820495475   recall 0.5377834400298693
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deviation 1/5   iterations 440/2000   F1 0.5191035872555069   accuracy 0.6829896907216495   precision 0.5189223022537434   recall 0.5229936429955485
deviation 1/5   iterations 450/2000   F1 0.5246290952269251   accuracy 0.6894329896907216   precision 0.5254903897265785   recall 0.5332295072822778
deviation 1/5   iterations 460/2000   F1 0.5090067944254776   accuracy 0.6675257731958762   precision 0.5071150097465887   recall 0.5113521368419209
deviation 1/5   iterations 470/2000   F1 0.5311108178611578   accuracy 0.6907216494845361   precision 0.529283997298709   recall 0.5408842152236678
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deviation 1/5   iterations 480/2000   F1 0.5282260798815794   accuracy 0.6894329896907216   precision 0.5268966292047774   recall 0.535898528968079
deviation 1/5   iterations 490/2000   F1 0.5220357359701623   accuracy 0.6945876288659794   precision 0.5282682975852069   recall 0.5239722137057716
deviation 1/5   iterations 500/2000   F1 0.5329224132041034   accuracy 0.6842783505154639   precision 0.5294248388396803   recall 0.542764443934136
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deviation 1/5   iterations 510/2000   F1 0.5253098667450519   accuracy 0.6932989690721649   precision 0.5289821038140741   recall 0.5268084971240183
deviation 1/5   iterations 520/2000   F1 0.5280680737483121   accuracy 0.6842783505154639   precision 0.5252605014688695   recall 0.5366601235896452
deviation 1/5   iterations 530/2000   F1 0.5260806582526317   accuracy 0.6868556701030928   precision 0.5234488439788082   recall 0.5303138274720474
deviation 1/5   iterations 540/2000   F1 0.5355046669320371   accuracy 0.6894329896907216   precision 0.5362760255617398   recall 0.5471557973006042
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deviation 1/5   iterations 550/2000   F1 0.5229897268171521   accuracy 0.6842783505154639   precision 0.5205782705782706   recall 0.5263542276135765
deviation 1/5   iterations 560/2000   F1 0.5280713758395305   accuracy 0.6894329896907216   precision 0.5255714395219893   recall 0.5325557780011735
deviation 1/5   iterations 570/2000   F1 0.5326225439305334   accuracy 0.6907216494845361   precision 0.5327229745233514   recall 0.5401179382507794
deviation 1/5   iterations 580/2000   F1 0.5248780246932573   accuracy 0.6842783505154639   precision 0.5219969474465803   recall 0.5306483509369385
deviation 1/5   iterations 590/2000   F1 0.5253622379725597   accuracy 0.6881443298969072   precision 0.523753881922523   recall 0.528428916410257
deviation 1/5   iterations 600/2000   F1 0.5301868948420673   accuracy 0.6907216494845361   precision 0.5282304524071809   recall 0.5358238149274174
deviation 1/5   iterations 610/2000   F1 0.5341077165545252   accuracy 0.6907216494845361   precision 0.532226959168292   recall 0.5402104859425635
deviation 1/5   iterations 620/2000   F1 0.5274177974930535   accuracy 0.6894329896907216   precision 0.5255703892067528   recall 0.531696953336501
deviation 1/5   iterations 630/2000   F1 0.5330972207520318   accuracy 0.6894329896907216   precision 0.5312177502579979   recall 0.5395189230103367
deviation 1/5   iterations 640/2000   F1 0.5305396245953884   accuracy 0.6855670103092784   precision 0.5283651835176045   recall 0.5374442342136562
deviation 1/5   iterations 650/2000   F1 0.5341499637144699   accuracy 0.6958762886597938   precision 0.5357935864401999   recall 0.5394488913209972
deviation 1/5   iterations 660/2000   F1 0.5273079925458583   accuracy 0.6907216494845361   precision 0.5279535130913265   recall 0.5298120422747107
deviation 1/5   iterations 670/2000   F1 0.531408328919193   accuracy 0.6945876288659794   precision 0.5306586793427591   recall 0.5353220297300808
deviation 1/5   iterations 680/2000   F1 0.5311469145580613   accuracy 0.6829896907216495   precision 0.5277717738768648   recall 0.5412140563372367
deviation 1/5   iterations 690/2000   F1 0.5324606914842486   accuracy 0.6945876288659794   precision 0.530566370040786   recall 0.5378985037240979
deviation 1/5   iterations 700/2000   F1 0.5286944514946936   accuracy 0.6907216494845361   precision 0.5263391065644858   recall 0.5332473409334003
deviation 1/5   iterations 710/2000   F1 0.5243529563783601   accuracy 0.6868556701030928   precision 0.5220951977700151   recall 0.5277373534780302
deviation 1/5   iterations 720/2000   F1 0.5261128342694273   accuracy 0.6881443298969072   precision 0.5235109780679081   recall 0.5301465657396017
deviation 1/5   iterations 730/2000   F1 0.524063853882286   accuracy 0.6868556701030928   precision 0.5221199428534321   recall 0.5268785288133578
deviation 1/5   iterations 740/2000   F1 0.5274498198661863   accuracy 0.6868556701030928   precision 0.5240862138943717   recall 0.5337491261307369
deviation 1/5   iterations 750/2000   F1 0.5283488666574964   accuracy 0.6907216494845361   precision 0.5263888888888889   recall 0.5323885162687279
deviation 1/5   iterations 760/2000   F1 0.5266726416274126   accuracy 0.6817010309278351   precision 0.5230098691149601   recall 0.5369946470545364
deviation 1/5   iterations 770/2000   F1 0.5212127213816878   accuracy 0.6791237113402062   precision 0.5179093567251463   recall 0.5261644498786864
deviation 1/5   iterations 780/2000   F1 0.5287583356520404   accuracy 0.6907216494845361   precision 0.5272611041053664   recall 0.5332473409334003
deviation 1/5   iterations 790/2000   F1 0.5205691416087964   accuracy 0.6804123711340206   precision 0.5175470378845665   recall 0.5251383634815684
deviation 1/5   iterations 800/2000   F1 0.526364632933976   accuracy 0.6907216494845361   precision 0.5258272373135883   recall 0.5289532176100383
deviation 1/5   iterations 810/2000   F1 0.529864230807627   accuracy 0.6842783505154639   precision 0.5271950518636621   recall 0.5334099203145236
deviation 1/5   iterations 820/2000   F1 0.5253564233249336   accuracy 0.6868556701030928   precision 0.5250622878367651   recall 0.5261122518404694
deviation 1/5   iterations 830/2000   F1 0.5292512444161738   accuracy 0.6804123711340206   precision 0.5265052428594273   recall 0.5331454285389721
deviation 1/5   iterations 840/2000   F1 0.5202901856158842   accuracy 0.6804123711340206   precision 0.517672144715892   recall 0.524279538816896
deviation 1/5   iterations 850/2000   F1 0.5302254173532236   accuracy 0.6817010309278351   precision 0.5275347031029346   recall 0.5338369914711989
deviation 1/5   iterations 860/2000   F1 0.5293289979195458   accuracy 0.6829896907216495   precision 0.526519365695663   recall 0.5335771820469692
deviation 1/5   iterations 870/2000   F1 0.520228970016524   accuracy 0.6804123711340206   precision 0.5175187502773709   recall 0.524279538816896
deviation 1/5   iterations 880/2000   F1 0.5276226285577083   accuracy 0.6829896907216495   precision 0.5255698005698005   recall 0.5301418833882797
deviation 1/5   iterations 890/2000   F1 0.5190486590922394   accuracy 0.6778350515463918   precision 0.5160099825605869   recall 0.5237552376171147
deviation 1/5   iterations 900/2000   F1 0.5319898858969122   accuracy 0.6907216494845361   precision 0.5316130610248258   recall 0.5325736116522959
deviation 1/5   iterations 910/2000   F1 0.5241766540786149   accuracy 0.6804123711340206   precision 0.521139278584516   recall 0.5286662098320419
deviation 1/5   iterations 920/2000   F1 0.5277020669455564   accuracy 0.6829896907216495   precision 0.5242925638047589   recall 0.5334846343551852
deviation 1/5   iterations 930/2000   F1 0.5361265311832927   accuracy 0.6778350515463918   precision 0.5321180177257401   recall 0.5439709433634999
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deviation 1/5   iterations 940/2000   F1 0.5224040902709567   accuracy 0.6791237113402062   precision 0.5213112768751585   recall 0.5237730712682372
deviation 1/5   iterations 950/2000   F1 0.5228065707868296   accuracy 0.6829896907216495   precision 0.5205253746261548   recall 0.5273803140106944
deviation 1/5   iterations 960/2000   F1 0.5223867138243311   accuracy 0.6688144329896907   precision 0.5213513076438062   recall 0.5253888082031538
deviation 1/5   iterations 970/2000   F1 0.5230178610847178   accuracy 0.6791237113402062   precision 0.5203760064681652   recall 0.5271158222351428
deviation 1/5   iterations 980/2000   F1 0.5333821225068935   accuracy 0.6688144329896907   precision 0.5320316306760056   recall 0.5386413689403757
deviation 1/5   iterations 990/2000   F1 0.520968790522666   accuracy 0.6791237113402062   precision 0.5179100340540113   recall 0.5261644498786864
deviation 1/5   iterations 1000/2000   F1 0.5353596215765045   accuracy 0.6713917525773195   precision 0.5330214869895996   recall 0.5408833194695019
deviation 1/5   iterations 1010/2000   F1 0.5260429949782769   accuracy 0.6894329896907216   precision 0.5245532618607441   recall 0.5282616546778115
deviation 1/5   iterations 1020/2000   F1 0.5288739606658681   accuracy 0.6726804123711341   precision 0.5261701765313908   recall 0.533475269652541
deviation 1/5   iterations 1030/2000   F1 0.5291216595747171   accuracy 0.6894329896907216   precision 0.5270686652275952   recall 0.5342734273305182
deviation 1/5   iterations 1040/2000   F1 0.5338540290183501   accuracy 0.6713917525773195   precision 0.5308954678362573   recall 0.5398393994212615
deviation 1/5   iterations 1050/2000   F1 0.5172375524569212   accuracy 0.6765463917525774   precision 0.514434481926742   recall 0.5213460253555432
deviation 1/5   iterations 1060/2000   F1 0.5160265049456089   accuracy 0.6739690721649485   precision 0.5129101447777279   recall 0.5208217241557619
deviation 1/5   iterations 1070/2000   F1 0.5205188708353895   accuracy 0.6675257731958762   precision 0.5177336782538443   recall 0.5262297992167037
deviation 1/5   iterations 1080/2000   F1 0.526314859468906   accuracy 0.6817010309278351   precision 0.524487270996907   recall 0.5285914957913804
deviation 1/5   iterations 1090/2000   F1 0.5326005741476267   accuracy 0.6765463917525774   precision 0.5313824182871801   recall 0.5356425061410056
deviation 1/5   iterations 1100/2000   F1 0.5247730361634525   accuracy 0.6829896907216495   precision 0.5212812501925695   recall 0.530815612669384
deviation 1/5   iterations 1110/2000   F1 0.5274969084110791   accuracy 0.6739690721649485   precision 0.528945211203682   recall 0.5291064322885175
deviation 1/5   iterations 1120/2000   F1 0.5271686432409856   accuracy 0.6842783505154639   precision 0.5233168842889792   recall 0.5349424742603005
deviation 1/5   iterations 1130/2000   F1 0.5358512130387405   accuracy 0.6726804123711341   precision 0.5331481538963055   recall 0.5414823347099446
deviation 1/5   iterations 1140/2000   F1 0.5172838345864661   accuracy 0.6817010309278351   precision 0.5148139588912121   recall 0.5205844307339769
deviation 1/5   iterations 1150/2000   F1 0.5293602113031385   accuracy 0.6829896907216495   precision 0.5279516061743846   recall 0.5310932557447362
deviation 1/5   iterations 1160/2000   F1 0.5313022724315535   accuracy 0.6649484536082474   precision 0.5286840940121955   recall 0.538191781781256
deviation 1/5   iterations 1170/2000   F1 0.5247607814062167   accuracy 0.6817010309278351   precision 0.5220414707248952   recall 0.5284989480995964
deviation 1/5   iterations 1180/2000   F1 0.5393565175748392   accuracy 0.6791237113402062   precision 0.5369073423584702   recall 0.5439887770146224
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deviation 1/5   iterations 1190/2000   F1 0.53013328405898   accuracy 0.6726804123711341   precision 0.526925434570025   recall 0.537676845284119
deviation 1/5   iterations 1200/2000   F1 0.5310285441267699   accuracy 0.6804123711340206   precision 0.5277811222683316   recall 0.5357219025329892
deviation 1/5   iterations 1210/2000   F1 0.5248085500448835   accuracy 0.6752577319587629   precision 0.5213294969196309   recall 0.5302866291182807
deviation 1/5   iterations 1220/2000   F1 0.5356464157444757   accuracy 0.6752577319587629   precision 0.5327066704791252   recall 0.5409627158614855
deviation 1/5   iterations 1230/2000   F1 0.5281573498964803   accuracy 0.6920103092783505   precision 0.5283156237701693   recall 0.5280196789047044
deviation 1/5   iterations 1240/2000   F1 0.5164457296485431   accuracy 0.6559278350515464   precision 0.5189631458707668   recall 0.5203759235937984
deviation 1/5   iterations 1250/2000   F1 0.5338433561219978   accuracy 0.6920103092783505   precision 0.5328424479367876   recall 0.5349828239138675
deviation 1/5   iterations 1260/2000   F1 0.523697819004176   accuracy 0.6662371134020618   precision 0.5233709808919729   recall 0.5275335286891737
deviation 1/5   iterations 1270/2000   F1 0.5271340172272398   accuracy 0.6920103092783505   precision 0.5244085904207527   recall 0.5321287068444983
deviation 1/5   iterations 1280/2000   F1 0.5233178116432834   accuracy 0.663659793814433   precision 0.5243600502562398   recall 0.5271017751811765
deviation 1/5   iterations 1290/2000   F1 0.5317844872080427   accuracy 0.6868556701030928   precision 0.5293975866144182   recall 0.5347930461789773
deviation 1/5   iterations 1300/2000   F1 0.5343692510317449   accuracy 0.6804123711340206   precision 0.5313587675188954   recall 0.5392497488834628
deviation 1/5   iterations 1310/2000   F1 0.5309327664943179   accuracy 0.6817010309278351   precision 0.52720157971937   recall 0.5371797424381044
deviation 1/5   iterations 1320/2000   F1 0.5299379948341802   accuracy 0.6791237113402062   precision 0.5283475020208103   recall 0.5325464132985291
deviation 1/5   iterations 1330/2000   F1 0.530241867442663   accuracy 0.6842783505154639   precision 0.529099231594734   recall 0.531784818676963
deviation 1/5   iterations 1340/2000   F1 0.5221525795792876   accuracy 0.6507731958762887   precision 0.5233176920644595   recall 0.5314434141914333
deviation 1/5   iterations 1350/2000   F1 0.5322142315565338   accuracy 0.6701030927835051   precision 0.531636287450241   recall 0.5375227348514738
deviation 1/5   iterations 1360/2000   F1 0.5312834351118134   accuracy 0.6701030927835051   precision 0.5297219233244288   recall 0.5365713624950174
deviation 1/5   iterations 1370/2000   F1 0.5355971910374453   accuracy 0.6739690721649485   precision 0.53168265951367   recall 0.5444727285608365
deviation 1/5   iterations 1380/2000   F1 0.53688160711593   accuracy 0.6829896907216495   precision 0.5342262276096603   recall 0.5407254224397006
deviation 1/5   iterations 1390/2000   F1 0.5325968441625277   accuracy 0.6791237113402062   precision 0.530565805108348   recall 0.5360742596490028
deviation 1/5   iterations 1400/2000   F1 0.5329154974105254   accuracy 0.6752577319587629   precision 0.5310119567058099   recall 0.5375274172027958
deviation 1/5   iterations 1410/2000   F1 0.51772683674159   accuracy 0.6559278350515464   precision 0.519610976381604   recall 0.5220935729231431
deviation 1/5   iterations 1420/2000   F1 0.537222375572057   accuracy 0.6829896907216495   precision 0.5357191881557015   recall 0.5399591454668121
deviation 1/5   iterations 1430/2000   F1 0.5341189141777485   accuracy 0.6804123711340206   precision 0.5320605734192598   recall 0.537624647245902
deviation 1/5   iterations 1440/2000   F1 0.5327548806941431   accuracy 0.6713917525773195   precision 0.5296831810840659   recall 0.5397468517294773
deviation 1/5   iterations 1450/2000   F1 0.5362660814424997   accuracy 0.6765463917525774   precision 0.5354832085563753   recall 0.5401217248479355
deviation 1/5   iterations 1460/2000   F1 0.5351851851851852   accuracy 0.6778350515463918   precision 0.5327285694341418   recall 0.539769367731922
deviation 1/5   iterations 1470/2000   F1 0.5292072633458013   accuracy 0.6778350515463918   precision 0.5270233260693146   recall 0.5327136750309748
deviation 1/5   iterations 1480/2000   F1 0.536610171020858   accuracy 0.6829896907216495   precision 0.5354505387132868   recall 0.5391003208021398
deviation 1/5   iterations 1490/2000   F1 0.5362540941445451   accuracy 0.6752577319587629   precision 0.5341117216117216   recall 0.541914088217942
deviation 1/5   iterations 1500/2000   F1 0.5361665063807511   accuracy 0.6752577319587629   precision 0.5341542825183765   recall 0.541914088217942
deviation 1/5   iterations 1510/2000   F1 0.5264887963492585   accuracy 0.6610824742268041   precision 0.5270793502586221   recall 0.532681794325886
deviation 1/5   iterations 1520/2000   F1 0.5248521575355488   accuracy 0.6662371134020618   precision 0.528789389942528   recall 0.5277186240727417
deviation 1/5   iterations 1530/2000   F1 0.5413882461483497   accuracy 0.6868556701030928   precision 0.538043894588959   recall 0.5462354098950706
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deviation 1/5   iterations 1540/2000   F1 0.5382199761807018   accuracy 0.6804123711340206   precision 0.5366423702097327   recall 0.542103865952832
deviation 1/5   iterations 1550/2000   F1 0.5386486402341256   accuracy 0.6791237113402062   precision 0.5368953745345727   recall 0.5439887770146224
deviation 1/5   iterations 1560/2000   F1 0.5347958707140877   accuracy 0.6778350515463918   precision 0.5328857630008526   recall 0.5405356447048103
deviation 1/5   iterations 1570/2000   F1 0.5237456537404953   accuracy 0.6572164948453608   precision 0.5311591531086255   recall 0.5290745515834288
deviation 1/5   iterations 1580/2000   F1 0.5429272233788843   accuracy 0.6881443298969072   precision 0.5406623181010882   recall 0.5470195205190814
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deviation 1/5   iterations 1590/2000   F1 0.5227210758709089   accuracy 0.6559278350515464   precision 0.52606427119667   recall 0.5290567179323062
deviation 1/5   iterations 1600/2000   F1 0.5369782913594786   accuracy 0.6817010309278351   precision 0.5354965166846356   recall 0.54098523186393
deviation 1/5   iterations 1610/2000   F1 0.5240609657817653   accuracy 0.6597938144329897   precision 0.5276022195943368   recall 0.5294137573996419
deviation 1/5   iterations 1620/2000   F1 0.5324017699703896   accuracy 0.6739690721649485   precision 0.5324058942663594   recall 0.5369284019623531
deviation 1/5   iterations 1630/2000   F1 0.5252987739493732   accuracy 0.6688144329896907   precision 0.5287118045999817   recall 0.5281503775807389
deviation 1/5   iterations 1640/2000   F1 0.5355437761105278   accuracy 0.6855670103092784   precision 0.5339809365609159   recall 0.5385807019536806
deviation 1/5   iterations 1650/2000   F1 0.5257225593581493   accuracy 0.6688144329896907   precision 0.5303634306764713   recall 0.5281503775807389
deviation 1/5   iterations 1660/2000   F1 0.5311558034956602   accuracy 0.6701030927835051   precision 0.5280830280830281   recall 0.539821565770139
deviation 1/5   iterations 1670/2000   F1 0.5194923957247062   accuracy 0.6610824742268041   precision 0.5267917254414837   recall 0.5214245259933609
deviation 1/5   iterations 1680/2000   F1 0.5269881085098477   accuracy 0.6752577319587629   precision 0.5272175868594797   recall 0.5296128998371763
deviation 1/5   iterations 1690/2000   F1 0.5157083143334853   accuracy 0.6469072164948454   precision 0.5209280611469395   recall 0.5216393034127013
deviation 1/5   iterations 1700/2000   F1 0.5174291938997821   accuracy 0.6597938144329897   precision 0.5179098954359965   recall 0.5221729693151267
deviation 1/5   iterations 1710/2000   F1 0.5309740351888265   accuracy 0.6804123711340206   precision 0.5300409394527041   recall 0.5340968008954284
deviation 1/5   iterations 1720/2000   F1 0.5166088867510755   accuracy 0.6507731958762887   precision 0.523320250313294   recall 0.5211375182153645
deviation 1/5   iterations 1730/2000   F1 0.5298599515154098   accuracy 0.6688144329896907   precision 0.5309571049434791   recall 0.5350209748981182
deviation 1/5   iterations 1740/2000   F1 0.5260579732941543   accuracy 0.6662371134020618   precision 0.5283623010670839   recall 0.530110002683191
deviation 1/5   iterations 1750/2000   F1 0.5165215470665707   accuracy 0.654639175257732   precision 0.5228252846173401   recall 0.5196843606615715
deviation 1/5   iterations 1760/2000   F1 0.5198296556715426   accuracy 0.6623711340206185   precision 0.5208182044670879   recall 0.5244149198442528
deviation 1/5   iterations 1770/2000   F1 0.5154895076324979   accuracy 0.6533505154639175   precision 0.5219123634302205   recall 0.5190853454211286
deviation 1/5   iterations 1780/2000   F1 0.5218397052823577   accuracy 0.6520618556701031   precision 0.5265167307232971   recall 0.5287922261567545
deviation 1/5   iterations 1790/2000   F1 0.5248684895009444   accuracy 0.6688144329896907   precision 0.5271512394792873   recall 0.527965282197171
deviation 1/5   iterations 1800/2000   F1 0.5270642300537781   accuracy 0.6701030927835051   precision 0.5297807189073555   recall 0.5297007651776382
deviation 1/5   iterations 1810/2000   F1 0.5242959436524597   accuracy 0.6494845360824743   precision 0.5302193472406239   recall 0.5326545959721193
deviation 1/5   iterations 1820/2000   F1 0.5270443603140501   accuracy 0.663659793814433   precision 0.5316881437860461   recall 0.5314884461963224
deviation 1/5   iterations 1830/2000   F1 0.5239427164613945   accuracy 0.663659793814433   precision 0.5260036867049194   recall 0.5287268768187373
deviation 1/5   iterations 1840/2000   F1 0.5235769023419801   accuracy 0.6572164948453608   precision 0.5279449477365962   recall 0.5288894561998606
deviation 1/5   iterations 1850/2000   F1 0.5318017013824177   accuracy 0.6752577319587629   precision 0.5354503870513723   recall 0.5342772139276745
deviation 1/5   iterations 1860/2000   F1 0.5299282384144255   accuracy 0.6688144329896907   precision 0.530686167304538   recall 0.5357872518710065
deviation 1/5   iterations 1870/2000   F1 0.5332641731003676   accuracy 0.6688144329896907   precision 0.5352031371687316   recall 0.5394076459132641
deviation 1/5   iterations 1880/2000   F1 0.5393274189427628   accuracy 0.6765463917525774   precision 0.5399198889561135   recall 0.54527467283597
deviation 1/5   iterations 1890/2000   F1 0.5379010469436002   accuracy 0.6791237113402062   precision 0.5393712469025606   recall 0.5415048507123892
deviation 1/5   iterations 1900/2000   F1 0.5269901761962893   accuracy 0.654639175257732   precision 0.5356941831105965   recall 0.5356984907763787
deviation 1/5   iterations 1910/2000   F1 0.5296816996783384   accuracy 0.663659793814433   precision 0.5335606741547335   recall 0.5359676649032524
deviation 1/5   iterations 1920/2000   F1 0.5270840993202811   accuracy 0.6572164948453608   precision 0.5281741444455851   recall 0.5357600535172398
deviation 1/5   iterations 1930/2000   F1 0.5187233748230767   accuracy 0.6559278350515464   precision 0.5255548587031657   recall 0.5221861206149271
deviation 1/5   iterations 1940/2000   F1 0.5209169453497163   accuracy 0.6559278350515464   precision 0.525911185588605   recall 0.5255288715818326
deviation 1/5   iterations 1950/2000   F1 0.5184657204889328   accuracy 0.6533505154639175   precision 0.5235676462967143   recall 0.5232869210527066
deviation 1/5   iterations 1960/2000   F1 0.5239063577194077   accuracy 0.6520618556701031   precision 0.5301463531209943   recall 0.5314612478425557
deviation 1/5   iterations 1970/2000   F1 0.5167181975330757   accuracy 0.6585051546391752   precision 0.5219176924800623   recall 0.5190900277724507
deviation 1/5   iterations 1980/2000   F1 0.5224763224763224   accuracy 0.6507731958762887   precision 0.5291142828753953   recall 0.5299108602456565
deviation 1/5   iterations 1990/2000   F1 0.5208171188911669   accuracy 0.6623711340206185   precision 0.5247594888374958   recall 0.5237411905631485
deviation 1/5   iterations 2000/2000   F1 0.5153625909975955   accuracy 0.6507731958762887   precision 0.527048365447338   recall 0.5196049642695878

deviation 2/5   iterations 10/2000   F1 0.29183101669726375   accuracy 0.3638709677419355   precision 0.35894640597143185   recall 0.3548225081195035
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deviation 2/5   iterations 20/2000   F1 0.19683438720089996   accuracy 0.29161290322580646   precision 0.4183875420200806   recall 0.35061062560715267
deviation 2/5   iterations 30/2000   F1 0.26451149649028355   accuracy 0.33806451612903227   precision 0.412928720040663   recall 0.36963511035472524
deviation 2/5   iterations 40/2000   F1 0.3579996704510144   accuracy 0.4464516129032258   precision 0.4301794582874731   recall 0.41993177146303556
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deviation 2/5   iterations 50/2000   F1 0.3948706798021866   accuracy 0.4993548387096774   precision 0.43203153602778216   recall 0.4352948096864298
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deviation 2/5   iterations 60/2000   F1 0.392614384866991   accuracy 0.49806451612903224   precision 0.4213114649868826   recall 0.42940682995504065
deviation 2/5   iterations 70/2000   F1 0.4063156595133339   accuracy 0.52   precision 0.42432673956738814   recall 0.4368330524702615
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deviation 2/5   iterations 80/2000   F1 0.4222041829138603   accuracy 0.5509677419354839   precision 0.42415495281635707   recall 0.43530667253100247
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deviation 2/5   iterations 90/2000   F1 0.4231094978826377   accuracy 0.5509677419354839   precision 0.42864122615755457   recall 0.4430377292453807
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deviation 2/5   iterations 100/2000   F1 0.4097907608545906   accuracy 0.5470967741935484   precision 0.4173562550025078   recall 0.4355759181964418
deviation 2/5   iterations 110/2000   F1 0.41872415894155024   accuracy 0.5496774193548387   precision 0.42470817639975783   recall 0.43968438942920746
deviation 2/5   iterations 120/2000   F1 0.4164314864562386   accuracy 0.5458064516129032   precision 0.4238839066425273   recall 0.438475770099054
deviation 2/5   iterations 130/2000   F1 0.4175551451768127   accuracy 0.5625806451612904   precision 0.41733369492364664   recall 0.4300811304030961
deviation 2/5   iterations 140/2000   F1 0.42881565860987275   accuracy 0.584516129032258   precision 0.4259540681294289   recall 0.43664128345178993
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deviation 2/5   iterations 150/2000   F1 0.43236877947588975   accuracy 0.5806451612903226   precision 0.4312630798983192   recall 0.4432908578047454
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deviation 2/5   iterations 160/2000   F1 0.44695450130183306   accuracy 0.5922580645161291   precision 0.44488860496637583   recall 0.45483847796267995
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deviation 2/5   iterations 170/2000   F1 0.4465962114891382   accuracy 0.5858064516129032   precision 0.44921717796170496   recall 0.4651742062816135
deviation 2/5   iterations 180/2000   F1 0.4526620685810607   accuracy 0.5987096774193549   precision 0.4521828424846575   recall 0.4668934188047194
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deviation 2/5   iterations 190/2000   F1 0.45998881696692906   accuracy 0.6103225806451613   precision 0.4582766839059745   recall 0.4688507063464909
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deviation 2/5   iterations 200/2000   F1 0.45258912524809   accuracy 0.5896774193548387   precision 0.4531939441600925   recall 0.4690446024957134
deviation 2/5   iterations 210/2000   F1 0.4574760763825818   accuracy 0.5896774193548387   precision 0.4599691901408451   recall 0.4760367267122952
deviation 2/5   iterations 220/2000   F1 0.4732669240021305   accuracy 0.6090322580645161   precision 0.4708150160919728   recall 0.4797358889009426
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deviation 2/5   iterations 230/2000   F1 0.4774234377747833   accuracy 0.6103225806451613   precision 0.4754717542512387   recall 0.48902457801407473
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deviation 2/5   iterations 240/2000   F1 0.46901823232886963   accuracy 0.6051612903225806   precision 0.4702362449261544   recall 0.4877997597651255
deviation 2/5   iterations 250/2000   F1 0.4762252789205381   accuracy 0.6167741935483871   precision 0.47479234088457395   recall 0.4888909778403699
deviation 2/5   iterations 260/2000   F1 0.47761589205780003   accuracy 0.6167741935483871   precision 0.4793269471444332   recall 0.49748810402127525
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deviation 2/5   iterations 270/2000   F1 0.49232474842230944   accuracy 0.6258064516129033   precision 0.48995401081732015   recall 0.5034493879508515
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deviation 2/5   iterations 280/2000   F1 0.48687746799116277   accuracy 0.6232258064516129   precision 0.4865287249130579   recall 0.5028051945841941
deviation 2/5   iterations 290/2000   F1 0.49477001373015694   accuracy 0.6296774193548387   precision 0.49375486597708823   recall 0.509790855595802
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deviation 2/5   iterations 300/2000   F1 0.48733154974389814   accuracy 0.6374193548387097   precision 0.4858197929521459   recall 0.4998924162716339
deviation 2/5   iterations 310/2000   F1 0.4905975176123231   accuracy 0.632258064516129   precision 0.49229403418137174   recall 0.5075825666254167
deviation 2/5   iterations 320/2000   F1 0.507025401873454   accuracy 0.6335483870967742   precision 0.5043184915470059   recall 0.5199144435286874
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deviation 2/5   iterations 330/2000   F1 0.4963557961976437   accuracy 0.6270967741935484   precision 0.4956121286153026   recall 0.512801645548349
deviation 2/5   iterations 340/2000   F1 0.4965600275197799   accuracy 0.6335483870967742   precision 0.4960480336602207   recall 0.5109994749259554
deviation 2/5   iterations 350/2000   F1 0.49617405854217855   accuracy 0.6387096774193548   precision 0.49876147563809337   recall 0.5145046591526591
deviation 2/5   iterations 360/2000   F1 0.5027608946031664   accuracy 0.6258064516129033   precision 0.5006356657376168   recall 0.5166947038862187
deviation 2/5   iterations 370/2000   F1 0.5115457362263324   accuracy 0.6283870967741936   precision 0.5101778134605973   recall 0.5302663707664167
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deviation 2/5   iterations 380/2000   F1 0.5064199118071256   accuracy 0.6374193548387097   precision 0.5057523957523958   recall 0.5218619953566371
deviation 2/5   iterations 390/2000   F1 0.49893132223786485   accuracy 0.6193548387096774   precision 0.49876199685565625   recall 0.5100268852964378
deviation 2/5   iterations 400/2000   F1 0.5109623618391276   accuracy 0.6219354838709678   precision 0.5110490081266191   recall 0.5329346108553373
deviation 2/5   iterations 410/2000   F1 0.4992017124552997   accuracy 0.6374193548387097   precision 0.5016536152746157   recall 0.518207012037433
deviation 2/5   iterations 420/2000   F1 0.5174751759556798   accuracy 0.6425806451612903   precision 0.5133844956711153   recall 0.5267417969247906
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deviation 2/5   iterations 430/2000   F1 0.5086381484786117   accuracy 0.632258064516129   precision 0.5057373237323732   recall 0.5227507269469341
deviation 2/5   iterations 440/2000   F1 0.509164021164021   accuracy 0.6309677419354839   precision 0.5072400722998599   recall 0.5255234418808156
deviation 2/5   iterations 450/2000   F1 0.515275974594893   accuracy 0.6348387096774194   precision 0.5123530941345539   recall 0.5303234760458079
deviation 2/5   iterations 460/2000   F1 0.5062595200101905   accuracy 0.6296774193548387   precision 0.5048702182075421   recall 0.5230361715311692
deviation 2/5   iterations 470/2000   F1 0.5201326019111342   accuracy 0.6477419354838709   precision 0.5180126375444692   recall 0.5344501915153991
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deviation 2/5   iterations 480/2000   F1 0.5123790446226227   accuracy 0.6258064516129033   precision 0.5122517829127888   recall 0.528207880888532
deviation 2/5   iterations 490/2000   F1 0.5168548497003584   accuracy 0.6245161290322581   precision 0.5164793938500835   recall 0.5371702190568335
deviation 2/5   iterations 500/2000   F1 0.5262239286167111   accuracy 0.6490322580645161   precision 0.5216636709240922   recall 0.5396628072333572
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deviation 2/5   iterations 510/2000   F1 0.5089181479422903   accuracy 0.6258064516129033   precision 0.5082223673327239   recall 0.5229478956050042
deviation 2/5   iterations 520/2000   F1 0.5140127958890822   accuracy 0.6309677419354839   precision 0.5129716704757169   recall 0.5291784252000199
deviation 2/5   iterations 530/2000   F1 0.5039017287551338   accuracy 0.64   precision 0.5044477556613479   recall 0.5222519147858331
deviation 2/5   iterations 540/2000   F1 0.5294580781851536   accuracy 0.6438709677419355   precision 0.5260124212548088   recall 0.5482825955380324
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deviation 2/5   iterations 550/2000   F1 0.5180887409111946   accuracy 0.6283870967741936   precision 0.5189445289883442   recall 0.5365831309695674
deviation 2/5   iterations 560/2000   F1 0.5313796695194669   accuracy 0.6593548387096774   precision 0.5283912615412795   recall 0.5450681737224411
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deviation 2/5   iterations 570/2000   F1 0.5226267213867195   accuracy 0.6387096774193548   precision 0.5208431877266922   recall 0.5427909984408131
deviation 2/5   iterations 580/2000   F1 0.5241217579105794   accuracy 0.632258064516129   precision 0.5248736037695376   recall 0.5447838745163027
deviation 2/5   iterations 590/2000   F1 0.5313931128006758   accuracy 0.6477419354838709   precision 0.5276639307347609   recall 0.5486251454016587
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deviation 2/5   iterations 600/2000   F1 0.5321428459665659   accuracy 0.6451612903225806   precision 0.5294750924923778   recall 0.5533045058028945
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deviation 2/5   iterations 610/2000   F1 0.5297236589834263   accuracy 0.6451612903225806   precision 0.5271010626620594   recall 0.5481080890037321
deviation 2/5   iterations 620/2000   F1 0.5297552183266468   accuracy 0.6477419354838709   precision 0.5276664280601288   recall 0.5460269370020776
deviation 2/5   iterations 630/2000   F1 0.5231536799210531   accuracy 0.6374193548387097   precision 0.5240812182156825   recall 0.5404944335442629
deviation 2/5   iterations 640/2000   F1 0.5324041700631074   accuracy 0.6516129032258065   precision 0.5290791786387126   recall 0.5481016257987581
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deviation 2/5   iterations 650/2000   F1 0.5252844479077049   accuracy 0.6374193548387097   precision 0.5262108766892607   recall 0.5431562104282094
deviation 2/5   iterations 660/2000   F1 0.5204426616728511   accuracy 0.6335483870967742   precision 0.5206386650909094   recall 0.5384197447475824
deviation 2/5   iterations 670/2000   F1 0.5295612418470449   accuracy 0.6490322580645161   precision 0.5264647995537453   recall 0.5449863610012503
deviation 2/5   iterations 680/2000   F1 0.5186094785182006   accuracy 0.6245161290322581   precision 0.5218455018305584   recall 0.5414369979051035
deviation 2/5   iterations 690/2000   F1 0.5033564891483363   accuracy 0.6103225806451613   precision 0.5140117761100012   recall 0.5183041237374866
deviation 2/5   iterations 700/2000   F1 0.5155614674462696   accuracy 0.6309677419354839   precision 0.5179263604036269   recall 0.5325791345817628
deviation 2/5   iterations 710/2000   F1 0.514023727321422   accuracy 0.6258064516129033   precision 0.5176746646877749   recall 0.5316085902702749
deviation 2/5   iterations 720/2000   F1 0.5098023482897432   accuracy 0.6283870967741936   precision 0.5150663815274802   recall 0.5217963815542421
deviation 2/5   iterations 730/2000   F1 0.5127887940313246   accuracy 0.632258064516129   precision 0.5136966355300601   recall 0.5314114216122047
deviation 2/5   iterations 740/2000   F1 0.5095707946818894   accuracy 0.6167741935483871   precision 0.5160143593137466   recall 0.5276972876955793
deviation 2/5   iterations 750/2000   F1 0.512340577879652   accuracy 0.632258064516129   precision 0.5167220367220368   recall 0.5238710703509226
deviation 2/5   iterations 760/2000   F1 0.5178100100951856   accuracy 0.6309677419354839   precision 0.5198555119340599   recall 0.5386416208474522
deviation 2/5   iterations 770/2000   F1 0.5121810135842669   accuracy 0.6245161290322581   precision 0.5168687505840576   recall 0.5283823874228322
deviation 2/5   iterations 780/2000   F1 0.5080084849590508   accuracy 0.6245161290322581   precision 0.515282797973051   recall 0.5196581242731962
deviation 2/5   iterations 790/2000   F1 0.5105955769369116   accuracy 0.632258064516129   precision 0.5153790536191627   recall 0.5211457249826107
deviation 2/5   iterations 800/2000   F1 0.5104462490477438   accuracy 0.6219354838709678   precision 0.5156237090276568   recall 0.5269356930740131
deviation 2/5   iterations 810/2000   F1 0.5173047231879216   accuracy 0.64   precision 0.5174525504330463   recall 0.5312940203572958
deviation 2/5   iterations 820/2000   F1 0.5106990940227599   accuracy 0.6167741935483871   precision 0.5190851524947635   recall 0.5278244246643101
deviation 2/5   iterations 830/2000   F1 0.5204200874860209   accuracy 0.6412903225806451   precision 0.5196342788836544   recall 0.5355134296399963
deviation 2/5   iterations 840/2000   F1 0.5177187581445607   accuracy 0.6335483870967742   precision 0.5231951360964433   recall 0.5306886880332042
deviation 2/5   iterations 850/2000   F1 0.5196827169166379   accuracy 0.6296774193548387   precision 0.5243280596472086   recall 0.5364721929196326
deviation 2/5   iterations 860/2000   F1 0.5151773035001871   accuracy 0.6219354838709678   precision 0.5257122507122507   recall 0.5315838828284752
deviation 2/5   iterations 870/2000   F1 0.5173166810492469   accuracy 0.632258064516129   precision 0.5214043398278444   recall 0.5316656955496661
deviation 2/5   iterations 880/2000   F1 0.5219669096777585   accuracy 0.6335483870967742   precision 0.5254729496864953   recall 0.5393493826984748
deviation 2/5   iterations 890/2000   F1 0.5233601157117261   accuracy 0.6309677419354839   precision 0.5272188497316677   recall 0.5432262421175489
deviation 2/5   iterations 900/2000   F1 0.5127191700586196   accuracy 0.6270967741935484   precision 0.5202321303310119   recall 0.525498734439016
deviation 2/5   iterations 910/2000   F1 0.5192782106507876   accuracy 0.6348387096774194   precision 0.524075185614981   recall 0.5330488214141198
deviation 2/5   iterations 920/2000   F1 0.5133658631411221   accuracy 0.6270967741935484   precision 0.5219194036804099   recall 0.5264283723899084
deviation 2/5   iterations 930/2000   F1 0.5220033670033669   accuracy 0.6387096774193548   precision 0.525194590977889   recall 0.5359895796773273
deviation 2/5   iterations 940/2000   F1 0.5162777098633075   accuracy 0.6245161290322581   precision 0.5254736416142441   recall 0.5320373707420365
deviation 2/5   iterations 950/2000   F1 0.5242404330210747   accuracy 0.6335483870967742   precision 0.5288502034238806   recall 0.5420111595824213
deviation 2/5   iterations 960/2000   F1 0.5274805128700011   accuracy 0.6451612903225806   precision 0.5273572564923122   recall 0.5437141731867315
deviation 2/5   iterations 970/2000   F1 0.5214034031666387   accuracy 0.6335483870967742   precision 0.5293774713306044   recall 0.5350826038502049
deviation 2/5   iterations 980/2000   F1 0.5150925545043192   accuracy 0.6103225806451613   precision 0.5280627483158631   recall 0.5376119259385432
deviation 2/5   iterations 990/2000   F1 0.5210852799265343   accuracy 0.6296774193548387   precision 0.5273981109259078   recall 0.5382043318526867
deviation 2/5   iterations 1000/2000   F1 0.5145751917788393   accuracy 0.6270967741935484   precision 0.52610345688976   recall 0.5264283723899084
deviation 2/5   iterations 1010/2000   F1 0.5168072676999498   accuracy 0.6219354838709678   precision 0.5209542510918802   recall 0.5408563730228115
deviation 2/5   iterations 1020/2000   F1 0.51128142985137   accuracy 0.6245161290322581   precision 0.5238678847342845   recall 0.5224470381258736
deviation 2/5   iterations 1030/2000   F1 0.5185657216358829   accuracy 0.6270967741935484   precision 0.5274182718207007   recall 0.5342865660730172
deviation 2/5   iterations 1040/2000   F1 0.5272149953298317   accuracy 0.6412903225806451   precision 0.5298761359516017   recall 0.5426326908253087
deviation 2/5   iterations 1050/2000   F1 0.5253750162080565   accuracy 0.6387096774193548   precision 0.5293144964054483   recall 0.540383495494328
deviation 2/5   iterations 1060/2000   F1 0.513379455121742   accuracy 0.6116129032258064   precision 0.5272469171291272   recall 0.5330435035872424
deviation 2/5   iterations 1070/2000   F1 0.5260113255035423   accuracy 0.6309677419354839   precision 0.5346608946608947   recall 0.5442194485528066
deviation 2/5   iterations 1080/2000   F1 0.5199200344727714   accuracy 0.632258064516129   precision 0.5292844565701128   recall 0.5326589019849238
deviation 2/5   iterations 1090/2000   F1 0.5266198194550225   accuracy 0.6361290322580645   precision 0.5285295182757371   recall 0.5459924938464562
deviation 2/5   iterations 1100/2000   F1 0.5208493070093154   accuracy 0.6258064516129033   precision 0.5303188266324493   recall 0.5388549884243181
deviation 2/5   iterations 1110/2000   F1 0.5197744129984806   accuracy 0.6283870967741936   precision 0.5278301611149431   recall 0.5358441984717711
deviation 2/5   iterations 1120/2000   F1 0.5315100057385534   accuracy 0.6451612903225806   precision 0.5301681818331051   recall 0.5507698658876786
deviation 2/5   iterations 1130/2000   F1 0.5067301818721798   accuracy 0.6141935483870967   precision 0.5249883572581179   recall 0.5196398800363706
deviation 2/5   iterations 1140/2000   F1 0.5255419549537197   accuracy 0.6425806451612903   precision 0.5283242037595824   recall 0.5389939064249002
deviation 2/5   iterations 1150/2000   F1 0.5167154086141448   accuracy 0.6245161290322581   precision 0.5231972606204627   recall 0.5345720106572524
deviation 2/5   iterations 1160/2000   F1 0.5171224359241663   accuracy 0.6206451612903225   precision 0.5240321163194319   recall 0.5377573071440995
deviation 2/5   iterations 1170/2000   F1 0.5187219450221278   accuracy 0.6219354838709678   precision 0.5312438645228027   recall 0.5368438681120029
deviation 2/5   iterations 1180/2000   F1 0.5184727370270911   accuracy 0.6193548387096774   precision 0.5289869367238708   recall 0.5389250201136575
deviation 2/5   iterations 1190/2000   F1 0.513009813076995   accuracy 0.6090322580645161   precision 0.5265678805896198   recall 0.5351882240732623
deviation 2/5   iterations 1200/2000   F1 0.51189302162891   accuracy 0.6219354838709678   precision 0.5263470500889458   recall 0.5245917586118933
deviation 2/5   iterations 1210/2000   F1 0.518846056941295   accuracy 0.6232258064516129   precision 0.5278490626018616   recall 0.5374718625598645
deviation 2/5   iterations 1220/2000   F1 0.5178729702606664   accuracy 0.6090322580645161   precision 0.5289870478983382   recall 0.545581057671587
deviation 2/5   iterations 1230/2000   F1 0.5094066590014051   accuracy 0.6064516129032258   precision 0.5239551026436272   recall 0.529411182391808
deviation 2/5   iterations 1240/2000   F1 0.5161111830941669   accuracy 0.6219354838709678   precision 0.5253979855606246   recall 0.533252453277164
deviation 2/5   iterations 1250/2000   F1 0.5191763338135316   accuracy 0.6283870967741936   precision 0.5281402213917551   recall 0.534978129005244
deviation 2/5   iterations 1260/2000   F1 0.5193636389775046   accuracy 0.6309677419354839   precision 0.5219759410923984   recall 0.5387051893318174
deviation 2/5   iterations 1270/2000   F1 0.5046171012758124   accuracy 0.6038709677419355   precision 0.5252564836462139   recall 0.5193037933777184
deviation 2/5   iterations 1280/2000   F1 0.5158733961534955   accuracy 0.6206451612903225   precision 0.5220574526226174   recall 0.5359615997266801
deviation 2/5   iterations 1290/2000   F1 0.5207898869751036   accuracy 0.6309677419354839   precision 0.5295156381260314   recall 0.536424823354063
deviation 2/5   iterations 1300/2000   F1 0.5067034406777137   accuracy 0.6090322580645161   precision 0.5201114081996435   recall 0.5237386155553144
deviation 2/5   iterations 1310/2000   F1 0.5237986947278976   accuracy 0.6309677419354839   precision 0.5304994590755725   recall 0.54155767166886
deviation 2/5   iterations 1320/2000   F1 0.5140871424752741   accuracy 0.6219354838709678   precision 0.5261734423879477   recall 0.5289221059445287
deviation 2/5   iterations 1330/2000   F1 0.5150373157377197   accuracy 0.6025806451612903   precision 0.530518541246603   recall 0.5439189504278724
deviation 2/5   iterations 1340/2000   F1 0.5248623188172122   accuracy 0.6309677419354839   precision 0.5280600765127582   recall 0.5450219495349683
deviation 2/5   iterations 1350/2000   F1 0.5187622631096755   accuracy 0.632258064516129   precision 0.5320139313181448   recall 0.5301242620697081
deviation 2/5   iterations 1360/2000   F1 0.5259459210040606   accuracy 0.6374193548387097   precision 0.5267862900111461   recall 0.5465569198099524
deviation 2/5   iterations 1370/2000   F1 0.5034368952334498   accuracy 0.6012903225806452   precision 0.5199299578528532   recall 0.521384945379373
deviation 2/5   iterations 1380/2000   F1 0.509245164281929   accuracy 0.607741935483871   precision 0.5221526242528453   recall 0.5291731073731424
deviation 2/5   iterations 1390/2000   F1 0.5041253965246034   accuracy 0.6051612903225806   precision 0.5220202682262781   recall 0.5199953563099452
deviation 2/5   iterations 1400/2000   F1 0.5322751322751323   accuracy 0.6412903225806451   precision 0.5347195513625275   recall 0.5505544529927829
deviation 2/5   iterations 1410/2000   F1 0.5277514409980887   accuracy 0.6296774193548387   precision 0.5326033977952337   recall 0.5504564413527963
deviation 2/5   iterations 1420/2000   F1 0.5109392604187968   accuracy 0.6167741935483871   precision 0.5238349808956559   recall 0.5270854921665138
deviation 2/5   iterations 1430/2000   F1 0.509167314896775   accuracy 0.6141935483870967   precision 0.5237048776459404   recall 0.524836296835533
deviation 2/5   iterations 1440/2000   F1 0.5231298657376088   accuracy 0.6245161290322581   precision 0.5285287246238011   recall 0.5459580506908348
deviation 2/5   iterations 1450/2000   F1 0.5067184197098914   accuracy 0.6051612903225806   precision 0.5246179162837271   recall 0.5243892721269457
deviation 2/5   iterations 1460/2000   F1 0.530018984761324   accuracy 0.6387096774193548   precision 0.5346739435779623   recall 0.5483052576618023
deviation 2/5   iterations 1470/2000   F1 0.5168482251324976   accuracy 0.6129032258064516   precision 0.5262723714582009   recall 0.5414661232338475
deviation 2/5   iterations 1480/2000   F1 0.5046573159740919   accuracy 0.6025806451612903   precision 0.5253367777618569   recall 0.5222036452803304
deviation 2/5   iterations 1490/2000   F1 0.5175079906917625   accuracy 0.6154838709677419   precision 0.5297553128507634   recall 0.5385824702500311
deviation 2/5   iterations 1500/2000   F1 0.5240293740692   accuracy 0.6245161290322581   precision 0.5327972003009483   recall 0.5451555497086731
deviation 2/5   iterations 1510/2000   F1 0.5174076890020853   accuracy 0.6167741935483871   precision 0.531464952947645   recall 0.5367393932670421
deviation 2/5   iterations 1520/2000   F1 0.5213073376376252   accuracy 0.6232258064516129   precision 0.5327620143644499   recall 0.5401336394438109
deviation 2/5   iterations 1530/2000   F1 0.5263338228095937   accuracy 0.6270967741935484   precision 0.5329820399833188   recall 0.5482072460218155
deviation 2/5   iterations 1540/2000   F1 0.5178888536787832   accuracy 0.6167741935483871   precision 0.5323019912673148   recall 0.5376054627335692
deviation 2/5   iterations 1550/2000   F1 0.5295619952713757   accuracy 0.6296774193548387   precision 0.5365866120341155   recall 0.5513860793036887
deviation 2/5   iterations 1560/2000   F1 0.515329115774568   accuracy 0.6116129032258064   precision 0.53109366913921   recall 0.5357052804711889
deviation 2/5   iterations 1570/2000   F1 0.5156486410278963   accuracy 0.6090322580645161   precision 0.5323550848826536   recall 0.5369203630063164
deviation 2/5   iterations 1580/2000   F1 0.5323604808870702   accuracy 0.64   precision 0.5357521100030763   recall 0.5515950289936103
deviation 2/5   iterations 1590/2000   F1 0.523490813648294   accuracy 0.6206451612903225   precision 0.534119855504551   recall 0.545742637795939
deviation 2/5   iterations 1600/2000   F1 0.5211675280500804   accuracy 0.6167741935483871   precision 0.5328390081298503   recall 0.5436679489992585
deviation 2/5   iterations 1610/2000   F1 0.5205118817616943   accuracy 0.6167741935483871   precision 0.5349775763933011   recall 0.5410697405996774
deviation 2/5   iterations 1620/2000   F1 0.5346004688504492   accuracy 0.6438709677419355   precision 0.5395815814248405   recall 0.5519375788572366
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deviation 2/5   iterations 1630/2000   F1 0.5177925495910651   accuracy 0.6090322580645161   precision 0.5332022333782936   recall 0.5421167798054788
deviation 2/5   iterations 1640/2000   F1 0.5251889985184373   accuracy 0.6309677419354839   precision 0.5336084867719147   recall 0.5424237411353872
deviation 2/5   iterations 1650/2000   F1 0.5182342263913408   accuracy 0.607741935483871   precision 0.5342582187363633   recall 0.5440869937571985
deviation 2/5   iterations 1660/2000   F1 0.5195495545553889   accuracy 0.6193548387096774   precision 0.5307307003471603   recall 0.5388614516292921
deviation 2/5   iterations 1670/2000   F1 0.5121400042043304   accuracy 0.6090322580645161   precision 0.5288751991489691   recall 0.531723946207154
deviation 2/5   iterations 1680/2000   F1 0.5215207343274706   accuracy 0.6245161290322581   precision 0.5303134856133336   recall 0.5407616338916724
deviation 2/5   iterations 1690/2000   F1 0.496577651024112   accuracy 0.5832258064516129   precision 0.5283344972067039   recall 0.516287685598294
deviation 2/5   iterations 1700/2000   F1 0.5279520679748478   accuracy 0.6219354838709678   precision 0.5343761158178336   recall 0.5559609648599636
deviation 2/5   iterations 1710/2000   F1 0.5076413840782167   accuracy 0.5974193548387097   precision 0.5282763234709112   recall 0.5298937956341132
deviation 2/5   iterations 1720/2000   F1 0.5088241410528506   accuracy 0.5961290322580645   precision 0.5303295107216676   recall 0.5326665105679946
deviation 2/5   iterations 1730/2000   F1 0.5076656907106734   accuracy 0.5961290322580645   precision 0.532140227009714   recall 0.5292658011862518
deviation 2/5   iterations 1740/2000   F1 0.5186513473024132   accuracy 0.6141935483870967   precision 0.5315995436650492   recall 0.5405526842017508
deviation 2/5   iterations 1750/2000   F1 0.5181228575346223   accuracy 0.6129032258064516   precision 0.5310126008232378   recall 0.540727190736051
deviation 2/5   iterations 1760/2000   F1 0.5158361602495759   accuracy 0.6090322580645161   precision 0.5315985761336971   recall 0.5377864324728435
deviation 2/5   iterations 1770/2000   F1 0.5244684332501147   accuracy 0.6193548387096774   precision 0.5326904256690114   recall 0.5501839231785093
deviation 2/5   iterations 1780/2000   F1 0.5029069336361011   accuracy 0.5935483870967742   precision 0.528640505614949   recall 0.5235523279891628
deviation 2/5   iterations 1790/2000   F1 0.5199156849101846   accuracy 0.6219354838709678   precision 0.5305962649220529   recall 0.5385124385606918
deviation 2/5   iterations 1800/2000   F1 0.5088447289112997   accuracy 0.6   precision 0.526597661860225   recall 0.5312133530142016
deviation 2/5   iterations 1810/2000   F1 0.5113956062472694   accuracy 0.6064516129032258   precision 0.5305904723197957   recall 0.5321365277601199
deviation 2/5   iterations 1820/2000   F1 0.5245139236611913   accuracy 0.6283870967741936   precision 0.5269904854861543   recall 0.5487716719853117
deviation 2/5   iterations 1830/2000   F1 0.48783351747455145   accuracy 0.5612903225806452   precision 0.5364904906367779   recall 0.5143757223040623
deviation 2/5   iterations 1840/2000   F1 0.5287374063852769   accuracy 0.6348387096774194   precision 0.5385268043071701   recall 0.54542806788296
deviation 2/5   iterations 1850/2000   F1 0.5255467366564442   accuracy 0.6232258064516129   precision 0.5356678284822595   recall 0.5488579025934469
deviation 2/5   iterations 1860/2000   F1 0.5083457976367991   accuracy 0.5948387096774194   precision 0.5279151269265556   recall 0.5337070865688219
deviation 2/5   iterations 1870/2000   F1 0.5065298353575046   accuracy 0.5922580645161291   precision 0.5284347659856586   recall 0.5315214597222065
deviation 2/5   iterations 1880/2000   F1 0.5134456813731912   accuracy 0.6051612903225806   precision 0.5330247720737907   recall 0.5367049501114208
deviation 2/5   iterations 1890/2000   F1 0.5172948817326303   accuracy 0.6090322580645161   precision 0.5289222770067664   recall 0.5438489187385329
deviation 2/5   iterations 1900/2000   F1 0.5058937319232085   accuracy 0.5883870967741935   precision 0.5270696503683634   recall 0.5347067562090538
deviation 2/5   iterations 1910/2000   F1 0.5279188678232017   accuracy 0.6361290322580645   precision 0.5393082766806749   recall 0.5426553529490786
deviation 2/5   iterations 1920/2000   F1 0.50570095220403   accuracy 0.5819354838709677   precision 0.5326606906585246   recall 0.5383046342488668
deviation 2/5   iterations 1930/2000   F1 0.508646378439249   accuracy 0.5858064516129032   precision 0.5326661346701785   recall 0.5420478934942361
deviation 2/5   iterations 1940/2000   F1 0.49841747171484907   accuracy 0.5780645161290323   precision 0.5390778533635677   recall 0.5215067645212262
deviation 2/5   iterations 1950/2000   F1 0.5152765161488503   accuracy 0.6103225806451613   precision 0.5274058120298405   recall 0.538414426920705
deviation 2/5   iterations 1960/2000   F1 0.5074217142765418   accuracy 0.5961290322580645   precision 0.5325434328856197   recall 0.5274700937688322
deviation 2/5   iterations 1970/2000   F1 0.5079513068663338   accuracy 0.5909677419354838   precision 0.5291972609520667   recall 0.5360263135891421
deviation 2/5   iterations 1980/2000   F1 0.5124098821528403   accuracy 0.6012903225806452   precision 0.5287871146285951   recall 0.5371649012299561
deviation 2/5   iterations 1990/2000   F1 0.5128809186935094   accuracy 0.6064516129032258   precision 0.5401604010025063   recall 0.5295383193605386
deviation 2/5   iterations 2000/2000   F1 0.5054196353158612   accuracy 0.5909677419354838   precision 0.5273738697944045   recall 0.5308298967899797

deviation 3/5   iterations 10/2000   F1 0.2028999144276368   accuracy 0.31266149870801035   precision 0.3446803318692045   recall 0.3354447186222887
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deviation 3/5   iterations 20/2000   F1 0.31022062442285664   accuracy 0.3772609819121447   precision 0.39526756143822467   recall 0.3785552562909715
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deviation 3/5   iterations 30/2000   F1 0.27319738861902215   accuracy 0.28165374677002586   precision 0.4159384198426364   recall 0.39156314082375837
deviation 3/5   iterations 40/2000   F1 0.21393832847565986   accuracy 0.20930232558139536   precision 0.3989240814760174   recall 0.37625375286560664
deviation 3/5   iterations 50/2000   F1 0.22045471837172795   accuracy 0.2144702842377261   precision 0.41370190167155213   recall 0.3782290056985431
deviation 3/5   iterations 60/2000   F1 0.27117758156155575   accuracy 0.2739018087855297   precision 0.4283502968342996   recall 0.39379696743946124
deviation 3/5   iterations 70/2000   F1 0.38067841067691194   accuracy 0.4186046511627907   precision 0.44032891383437534   recall 0.4386749725091142
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deviation 3/5   iterations 80/2000   F1 0.4295979740424185   accuracy 0.5012919896640827   precision 0.4450897283266795   recall 0.46566650097940765
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deviation 3/5   iterations 90/2000   F1 0.4345533518046068   accuracy 0.5155038759689923   precision 0.44727378130739476   recall 0.46723708666214286
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deviation 3/5   iterations 100/2000   F1 0.42180685891239444   accuracy 0.5064599483204134   precision 0.4397428514359385   recall 0.45194261957541265
deviation 3/5   iterations 110/2000   F1 0.4292698936178729   accuracy 0.5038759689922481   precision 0.4448208608620841   recall 0.4626614620699561
deviation 3/5   iterations 120/2000   F1 0.46124188727996046   accuracy 0.5555555555555556   precision 0.45975108438604534   recall 0.48146364566570415
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deviation 3/5   iterations 130/2000   F1 0.4603557456745116   accuracy 0.5684754521963824   precision 0.4573273563284663   recall 0.4725587548254057
deviation 3/5   iterations 140/2000   F1 0.4585456967547974   accuracy 0.5633074935400517   precision 0.4573960637822024   recall 0.47044773845909543
deviation 3/5   iterations 150/2000   F1 0.4731973309914723   accuracy 0.5801033591731266   precision 0.46929865497567586   recall 0.48391566953024423
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deviation 3/5   iterations 160/2000   F1 0.47163107438436286   accuracy 0.5839793281653747   precision 0.4676783632948016   recall 0.48173939484716727
deviation 3/5   iterations 170/2000   F1 0.4653675301304965   accuracy 0.5749354005167958   precision 0.4629167566011943   recall 0.4777530217019155
deviation 3/5   iterations 180/2000   F1 0.46949460876444854   accuracy 0.5736434108527132   precision 0.4683039038526297   recall 0.4858421015998207
deviation 3/5   iterations 190/2000   F1 0.46269500146457565   accuracy 0.5671834625322998   precision 0.463839540612408   recall 0.47985108478424454
deviation 3/5   iterations 200/2000   F1 0.46483956870899323   accuracy 0.5775193798449613   precision 0.4651800694316033   recall 0.4784101549155377
deviation 3/5   iterations 210/2000   F1 0.47965649937322813   accuracy 0.6007751937984496   precision 0.47624850565543486   recall 0.4852890865549093
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deviation 3/5   iterations 220/2000   F1 0.4707738934668411   accuracy 0.5852713178294574   precision 0.4683513985304266   recall 0.48129623676766703
deviation 3/5   iterations 230/2000   F1 0.47281251031251026   accuracy 0.5839793281653747   precision 0.47455899436097454   recall 0.48706294861506033
deviation 3/5   iterations 240/2000   F1 0.4711184974096081   accuracy 0.5762273901808785   precision 0.4705893544075866   recall 0.4861598259800082
deviation 3/5   iterations 250/2000   F1 0.46298450238549105   accuracy 0.5697674418604651   precision 0.4649236143511706   recall 0.4797615185643105
deviation 3/5   iterations 260/2000   F1 0.4656363328718392   accuracy 0.5813953488372093   precision 0.4651535727402525   recall 0.47569082609896524
deviation 3/5   iterations 270/2000   F1 0.47460972451165784   accuracy 0.5943152454780362   precision 0.4773828535369559   recall 0.48368911003478615
deviation 3/5   iterations 280/2000   F1 0.46530511126784413   accuracy 0.5813953488372093   precision 0.46682656739467276   recall 0.4748940761598989
deviation 3/5   iterations 290/2000   F1 0.4563131313131313   accuracy 0.5684754521963824   precision 0.46328467920012856   recall 0.4653022923459455
deviation 3/5   iterations 300/2000   F1 0.46933024201843754   accuracy 0.5891472868217055   precision 0.46828467153284675   recall 0.48137444836841503
deviation 3/5   iterations 310/2000   F1 0.46257584965501247   accuracy 0.5813953488372093   precision 0.46327818920430036   recall 0.47296116744833183
deviation 3/5   iterations 320/2000   F1 0.46283185749214545   accuracy 0.5801033591731266   precision 0.46405471490217254   recall 0.4739974301668375
deviation 3/5   iterations 330/2000   F1 0.47235546018127567   accuracy 0.599483204134367   precision 0.47310162598082367   recall 0.4792046503273287
deviation 3/5   iterations 340/2000   F1 0.4631972579941605   accuracy 0.5788113695090439   precision 0.4715589131740258   recall 0.470846297889951
deviation 3/5   iterations 350/2000   F1 0.4587171967817129   accuracy 0.5684754521963824   precision 0.4665910802968618   recall 0.4704222008137777
deviation 3/5   iterations 360/2000   F1 0.4650853096913487   accuracy 0.5852713178294574   precision 0.47048874541064345   recall 0.4724462744100742
deviation 3/5   iterations 370/2000   F1 0.4662129487398305   accuracy 0.5710594315245479   precision 0.47793169528411034   recall 0.47813215120679925
deviation 3/5   iterations 380/2000   F1 0.4679348217529092   accuracy 0.5775193798449613   precision 0.48760650332145955   recall 0.4819365635052373
deviation 3/5   iterations 390/2000   F1 0.468590630383193   accuracy 0.5917312661498708   precision 0.47151784756263676   recall 0.47836940945896345
deviation 3/5   iterations 400/2000   F1 0.4867157391152586   accuracy 0.6007751937984496   precision 0.49560098863699276   recall 0.49766545750220187
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deviation 3/5   iterations 410/2000   F1 0.47764279915748276   accuracy 0.5981912144702842   precision 0.48327340928191465   recall 0.4855644668137275
deviation 3/5   iterations 420/2000   F1 0.4660540534481213   accuracy 0.5736434108527132   precision 0.4752100127447287   recall 0.4776531256479204
deviation 3/5   iterations 430/2000   F1 0.47855810297945606   accuracy 0.5956072351421189   precision 0.48766737404557886   recall 0.4878406375507997
deviation 3/5   iterations 440/2000   F1 0.4786747946349144   accuracy 0.5930232558139535   precision 0.4851549513014734   recall 0.488912767748684
deviation 3/5   iterations 450/2000   F1 0.4801830902608571   accuracy 0.5943152454780362   precision 0.486616939605567   recall 0.49047040014743787
deviation 3/5   iterations 460/2000   F1 0.48064659029393786   accuracy 0.5943152454780362   precision 0.4924897031925693   recall 0.49160655891993876
deviation 3/5   iterations 470/2000   F1 0.4879261330896119   accuracy 0.6072351421188631   precision 0.4903510018137303   recall 0.49819715701651107
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deviation 3/5   iterations 480/2000   F1 0.4896643403123961   accuracy 0.6111111111111112   precision 0.49088071664309285   recall 0.5002082773288262
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deviation 3/5   iterations 490/2000   F1 0.4849464562113069   accuracy 0.5968992248062015   precision 0.49397198648436264   recall 0.49638320536226604
deviation 3/5   iterations 500/2000   F1 0.4851171225468873   accuracy 0.6020671834625323   precision 0.4945864566536453   recall 0.4948320496055028
deviation 3/5   iterations 510/2000   F1 0.4990434157100824   accuracy 0.6046511627906976   precision 0.5020219084377259   recall 0.516969211929581
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deviation 3/5   iterations 520/2000   F1 0.49144753314698236   accuracy 0.6136950904392765   precision 0.4958040690936271   recall 0.4991361471309419
deviation 3/5   iterations 530/2000   F1 0.49938201112067676   accuracy 0.6085271317829457   precision 0.5051352345273107   recall 0.5138604237740639
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deviation 3/5   iterations 540/2000   F1 0.47922484482578837   accuracy 0.58656330749354   precision 0.49912852784134243   recall 0.4919074768240745
deviation 3/5   iterations 550/2000   F1 0.49140448773247297   accuracy 0.6136950904392765   precision 0.49384273135724027   recall 0.5023910286538938
deviation 3/5   iterations 560/2000   F1 0.49558908147628083   accuracy 0.6111111111111112   precision 0.5042623579399792   recall 0.5056675946300931
deviation 3/5   iterations 570/2000   F1 0.5013622765224128   accuracy 0.6136950904392765   precision 0.5062775714097657   recall 0.5148352813678734
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deviation 3/5   iterations 580/2000   F1 0.48871816524879064   accuracy 0.6098191214470284   precision 0.49752901059152554   recall 0.4953278816404334
deviation 3/5   iterations 590/2000   F1 0.5039533373609226   accuracy 0.6149870801033591   precision 0.5078703703703704   recall 0.5189868088838868
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deviation 3/5   iterations 600/2000   F1 0.5045502370742546   accuracy 0.6149870801033591   precision 0.5097663012825229   recall 0.5190546906505737
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deviation 3/5   iterations 610/2000   F1 0.4870342304677293   accuracy 0.599483204134367   precision 0.5049112965524257   recall 0.4961078251034479
deviation 3/5   iterations 620/2000   F1 0.5039777877922196   accuracy 0.6214470284237726   precision 0.505826338497949   recall 0.5162636268752441
deviation 3/5   iterations 630/2000   F1 0.5038789939235718   accuracy 0.6136950904392765   precision 0.5080884836203986   recall 0.5192263216633263
deviation 3/5   iterations 640/2000   F1 0.4626064056118091   accuracy 0.5852713178294574   precision 0.48770989220725697   recall 0.4739218420160098
deviation 3/5   iterations 650/2000   F1 0.50018642566011   accuracy 0.624031007751938   precision 0.5009289127090631   recall 0.5131228244324187
deviation 3/5   iterations 660/2000   F1 0.5084094784701848   accuracy 0.6162790697674418   precision 0.5140078530223327   recall 0.5258679950505337
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deviation 3/5   iterations 670/2000   F1 0.4860005865710681   accuracy 0.5968992248062015   precision 0.5074008278636852   recall 0.4992486275462733
deviation 3/5   iterations 680/2000   F1 0.5078176878852108   accuracy 0.627906976744186   precision 0.5094086976217536   recall 0.521390011985067
deviation 3/5   iterations 690/2000   F1 0.5117114077862532   accuracy 0.6304909560723514   precision 0.5138018360240583   recall 0.5237764086101954
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deviation 3/5   iterations 700/2000   F1 0.5071584311847667   accuracy 0.6201550387596899   precision 0.5148876906142276   recall 0.520165311777757
deviation 3/5   iterations 710/2000   F1 0.510070363648022   accuracy 0.6266149870801033   precision 0.5164893855203435   recall 0.520968538358814
deviation 3/5   iterations 720/2000   F1 0.5129904491720915   accuracy 0.6124031007751938   precision 0.5203277193241163   recall 0.5362332456855111
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deviation 3/5   iterations 730/2000   F1 0.5111627531818466   accuracy 0.6253229974160207   precision 0.5169946348077259   recall 0.523801946255513
deviation 3/5   iterations 740/2000   F1 0.5073489203710646   accuracy 0.6304909560723514   precision 0.5082094267047245   recall 0.5184528548423023
deviation 3/5   iterations 750/2000   F1 0.5095141201134542   accuracy 0.6201550387596899   precision 0.5175271043433737   recall 0.5246242338398969
deviation 3/5   iterations 760/2000   F1 0.5101928911960564   accuracy 0.624031007751938   precision 0.5182667135340407   recall 0.5231768273291992
deviation 3/5   iterations 770/2000   F1 0.5003460106068802   accuracy 0.6072351421188631   precision 0.5150592216582065   recall 0.5160328452650705
deviation 3/5   iterations 780/2000   F1 0.5015381862986154   accuracy 0.6175710594315246   precision 0.5135368281353683   recall 0.5118622567457302
deviation 3/5   iterations 790/2000   F1 0.5084309037689095   accuracy 0.624031007751938   precision 0.5136147608162532   recall 0.521311800384319
deviation 3/5   iterations 800/2000   F1 0.5208441545426226   accuracy 0.6291989664082688   precision 0.5242405377998599   recall 0.5389183056875001
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deviation 3/5   iterations 810/2000   F1 0.5049643555248937   accuracy 0.6201550387596899   precision 0.5151805156486996   recall 0.5158421532489911
deviation 3/5   iterations 820/2000   F1 0.5113908650318505   accuracy 0.6227390180878553   precision 0.5166565302366307   recall 0.5267391033982777
deviation 3/5   iterations 830/2000   F1 0.5092269887467628   accuracy 0.6253229974160207   precision 0.5159819398163862   recall 0.5211401693715665
deviation 3/5   iterations 840/2000   F1 0.5199269524116447   accuracy 0.6317829457364341   precision 0.5208998064045193   recall 0.537574648422868
deviation 3/5   iterations 850/2000   F1 0.5043907898709198   accuracy 0.6188630490956072   precision 0.518699488481951   recall 0.5152170343226773
deviation 3/5   iterations 860/2000   F1 0.5136671806464223   accuracy 0.627906976744186   precision 0.5178545053257034   recall 0.527781842758774
deviation 3/5   iterations 870/2000   F1 0.5160574414958253   accuracy 0.6356589147286822   precision 0.5185117993055064   recall 0.5274809248546383
deviation 3/5   iterations 880/2000   F1 0.500542981154957   accuracy 0.6201550387596899   precision 0.5113904258852694   recall 0.5087893360695915
deviation 3/5   iterations 890/2000   F1 0.5051002521344922   accuracy 0.6136950904392765   precision 0.5194469455741998   recall 0.5203624804358272
deviation 3/5   iterations 900/2000   F1 0.502489845534846   accuracy 0.6188630490956072   precision 0.511612942089342   recall 0.513352007377797
deviation 3/5   iterations 910/2000   F1 0.5037602022242029   accuracy 0.624031007751938   precision 0.5126426971087165   recall 0.5125976015601
deviation 3/5   iterations 920/2000   F1 0.516950135855917   accuracy 0.6343669250645995   precision 0.5200661375661376   recall 0.5302464509846504
deviation 3/5   iterations 930/2000   F1 0.5104948649328667   accuracy 0.6227390180878553   precision 0.5218843312902718   recall 0.5242809718143918
deviation 3/5   iterations 940/2000   F1 0.5158893569296832   accuracy 0.6291989664082688   precision 0.5205440559040864   recall 0.5311366203357212
deviation 3/5   iterations 950/2000   F1 0.5108956657071714   accuracy 0.6266149870801033   precision 0.5218563245552902   recall 0.5228335653036943
deviation 3/5   iterations 960/2000   F1 0.5077793283142069   accuracy 0.6214470284237726   precision 0.519500492963468   recall 0.5200615625316914
deviation 3/5   iterations 970/2000   F1 0.5174680423175454   accuracy 0.624031007751938   precision 0.5215163921046274   recall 0.5371466981546243
deviation 3/5   iterations 980/2000   F1 0.5073793030373968   accuracy 0.6304909560723514   precision 0.5175005044324051   recall 0.5152658550860373
deviation 3/5   iterations 990/2000   F1 0.5030011670875657   accuracy 0.6214470284237726   precision 0.5142227869930559   recall 0.513076627118979
deviation 3/5   iterations 1000/2000   F1 0.5057224390100816   accuracy 0.6188630490956072   precision 0.5137642245237183   recall 0.5194723110847564
deviation 3/5   iterations 1010/2000   F1 0.5134162084974093   accuracy 0.6253229974160207   precision 0.5189693495646229   recall 0.5290576182567192
deviation 3/5   iterations 1020/2000   F1 0.5207600867413412   accuracy 0.6330749354005168   precision 0.5259195115834562   recall 0.536742031004423
deviation 3/5   iterations 1030/2000   F1 0.5166565180520036   accuracy 0.6291989664082688   precision 0.5254578253721731   recall 0.5321370155748483
deviation 3/5   iterations 1040/2000   F1 0.5254153865950616   accuracy 0.6447028423772609   precision 0.5266768703591936   recall 0.5384522334126025
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deviation 3/5   iterations 1050/2000   F1 0.5126257202957826   accuracy 0.6201550387596899   precision 0.5276054669565159   recall 0.5318128145526703
deviation 3/5   iterations 1060/2000   F1 0.5100090243543153   accuracy 0.6291989664082688   precision 0.5172540579075191   recall 0.5215577898057492
deviation 3/5   iterations 1070/2000   F1 0.5154794093217122   accuracy 0.6304909560723514   precision 0.5221841833216241   recall 0.5301682393839025
deviation 3/5   iterations 1080/2000   F1 0.5096286484504083   accuracy 0.6059431524547804   precision 0.5208343770924416   recall 0.5364304143435813
deviation 3/5   iterations 1090/2000   F1 0.5134752871270879   accuracy 0.6317829457364341   precision 0.5208357818651936   recall 0.525605568075697
deviation 3/5   iterations 1100/2000   F1 0.5168374546194666   accuracy 0.6291989664082688   precision 0.5242053669652679   recall 0.5330016472806015
deviation 3/5   iterations 1110/2000   F1 0.5165799674274251   accuracy 0.6304909560723514   precision 0.522688097767016   recall 0.5318975027954088
deviation 3/5   iterations 1120/2000   F1 0.5177523857483164   accuracy 0.6304909560723514   precision 0.5248629795936579   recall 0.5336946479736021
deviation 3/5   iterations 1130/2000   F1 0.5160370693344314   accuracy 0.6304909560723514   precision 0.5243775324881114   recall 0.5311007528563426
deviation 3/5   iterations 1140/2000   F1 0.5225152293263547   accuracy 0.6291989664082688   precision 0.5298093300776014   recall 0.5435808730497006
deviation 3/5   iterations 1150/2000   F1 0.5172789004261666   accuracy 0.6253229974160207   precision 0.5269704111023829   recall 0.5371787124419326
deviation 3/5   iterations 1160/2000   F1 0.5193329662477417   accuracy 0.6408268733850129   precision 0.52432256189062   recall 0.530388691160015
deviation 3/5   iterations 1170/2000   F1 0.519735247548924   accuracy 0.6291989664082688   precision 0.5289452601845764   recall 0.5392577145209346
deviation 3/5   iterations 1180/2000   F1 0.5279370106351355   accuracy 0.6343669250645995   precision 0.5321463580957252   recall 0.5498114026447163
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deviation 3/5   iterations 1190/2000   F1 0.5240508266092249   accuracy 0.6343669250645995   precision 0.5279408924707444   recall 0.5427585854653167
deviation 3/5   iterations 1200/2000   F1 0.5095173420091905   accuracy 0.6201550387596899   precision 0.5253624842786733   recall 0.5274896560239042
deviation 3/5   iterations 1210/2000   F1 0.524151226263983   accuracy 0.6395348837209303   precision 0.5251766557890113   recall 0.5401391527027396
deviation 3/5   iterations 1220/2000   F1 0.5166410206249902   accuracy 0.6266149870801033   precision 0.5237721517949846   recall 0.5351420544842999
deviation 3/5   iterations 1230/2000   F1 0.5230916888230107   accuracy 0.6395348837209303   precision 0.5243657212204752   recall 0.5383420075245463
deviation 3/5   iterations 1240/2000   F1 0.5153787848432637   accuracy 0.627906976744186   precision 0.5231420821062165   recall 0.5314440148818477
deviation 3/5   iterations 1250/2000   F1 0.5232002762451171   accuracy 0.6291989664082688   precision 0.5292192611700254   recall 0.5453101364612071
deviation 3/5   iterations 1260/2000   F1 0.5162200980410586   accuracy 0.6317829457364341   precision 0.523746966490752   recall 0.5299966083711499
deviation 3/5   iterations 1270/2000   F1 0.5202830904675168   accuracy 0.6382428940568475   precision 0.5244306055658741   recall 0.5333937300694666
deviation 3/5   iterations 1280/2000   F1 0.527640284814149   accuracy 0.627906976744186   precision 0.5363539733665218   recall 0.5552642433039926
deviation 3/5   iterations 1290/2000   F1 0.5220881134365816   accuracy 0.6382428940568475   precision 0.5262071573974462   recall 0.535987625186726
deviation 3/5   iterations 1300/2000   F1 0.5247483751075507   accuracy 0.6356589147286822   precision 0.5321235181514904   recall 0.5426548362192513
deviation 3/5   iterations 1310/2000   F1 0.5202950324911114   accuracy 0.6304909560723514   precision 0.5230292687504527   recall 0.5388824382081214
deviation 3/5   iterations 1320/2000   F1 0.5286865009143842   accuracy 0.6395348837209303   precision 0.533093218941758   recall 0.5473277334155129
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deviation 3/5   iterations 1330/2000   F1 0.5188771761569426   accuracy 0.6162790697674418   precision 0.5297662210776782   recall 0.5463654601830398
deviation 3/5   iterations 1340/2000   F1 0.5083807341421447   accuracy 0.6421188630490956   precision 0.5076790533924352   recall 0.5192984255447287
deviation 3/5   iterations 1350/2000   F1 0.529792048321777   accuracy 0.6317829457364341   precision 0.5376534103714631   recall 0.5564786136772414
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deviation 3/5   iterations 1360/2000   F1 0.51504640992149   accuracy 0.6330749354005168   precision 0.5182605004160342   recall 0.5287567003525835
deviation 3/5   iterations 1370/2000   F1 0.5292498719918075   accuracy 0.627906976744186   precision 0.5345045848648284   recall 0.5578581384212521
deviation 3/5   iterations 1380/2000   F1 0.5171597001426592   accuracy 0.6317829457364341   precision 0.518871687893427   recall 0.5333193716607889
deviation 3/5   iterations 1390/2000   F1 0.5287067881364471   accuracy 0.6330749354005168   precision 0.5336232697343809   recall 0.5517801788356621
deviation 3/5   iterations 1400/2000   F1 0.5267932510526786   accuracy 0.6356589147286822   precision 0.5271612787101685   recall 0.5468422312146434
deviation 3/5   iterations 1410/2000   F1 0.5308670302563262   accuracy 0.6291989664082688   precision 0.5356891393021158   recall 0.559415770820006
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deviation 3/5   iterations 1420/2000   F1 0.5319713240106315   accuracy 0.6382428940568475   precision 0.5370334271086474   recall 0.5536875499019116
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deviation 3/5   iterations 1430/2000   F1 0.5326575503091154   accuracy 0.6382428940568475   precision 0.5335159423797619   recall 0.5552810497800442
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deviation 3/5   iterations 1440/2000   F1 0.5222055054328184   accuracy 0.6330749354005168   precision 0.5256196045669731   recall 0.5402684395941227
deviation 3/5   iterations 1450/2000   F1 0.5257860066047773   accuracy 0.6472868217054264   precision 0.5270762719679128   recall 0.5381768531537845
deviation 3/5   iterations 1460/2000   F1 0.5347757615083758   accuracy 0.648578811369509   precision 0.5330700661260814   recall 0.555229974489409
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deviation 3/5   iterations 1470/2000   F1 0.5324149671469516   accuracy 0.6317829457364341   precision 0.53561232397958   recall 0.5598013769668804
deviation 3/5   iterations 1480/2000   F1 0.5257910217417424   accuracy 0.6395348837209303   precision 0.5314416355944765   recall 0.5420720614143067
deviation 3/5   iterations 1490/2000   F1 0.5291926501339131   accuracy 0.6266149870801033   precision 0.5348440545808967   recall 0.5579618876673177
deviation 3/5   iterations 1500/2000   F1 0.5114384088239924   accuracy 0.624031007751938   precision 0.5147749259022966   recall 0.5283646175637186
deviation 3/5   iterations 1510/2000   F1 0.5148225397027911   accuracy 0.6291989664082688   precision 0.5166168968520592   recall 0.5311366203357212
deviation 3/5   iterations 1520/2000   F1 0.5145004966936226   accuracy 0.6266149870801033   precision 0.5186239922275608   recall 0.5315477641279132
deviation 3/5   iterations 1530/2000   F1 0.5275404863895697   accuracy 0.6304909560723514   precision 0.5320711777242801   recall 0.552191322627854
deviation 3/5   iterations 1540/2000   F1 0.527062494684996   accuracy 0.6304909560723514   precision 0.5320486879967249   recall 0.5513266909221008
deviation 3/5   iterations 1550/2000   F1 0.536571532067414   accuracy 0.6524547803617571   precision 0.5344004843767599   recall 0.5572410948017241
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deviation 3/5   iterations 1560/2000   F1 0.5243079521435775   accuracy 0.6291989664082688   precision 0.5292284854138776   recall 0.5471072816394004
deviation 3/5   iterations 1570/2000   F1 0.5253917837626854   accuracy 0.6408268733850129   precision 0.5282350832360246   recall 0.5409679169291142
deviation 3/5   iterations 1580/2000   F1 0.5226293978021759   accuracy 0.6382428940568475   precision 0.5232219686810935   recall 0.539378270243052
deviation 3/5   iterations 1590/2000   F1 0.5252041269515904   accuracy 0.6356589147286822   precision 0.5286484263134105   recall 0.5443840996307577
deviation 3/5   iterations 1600/2000   F1 0.527747860185977   accuracy 0.6330749354005168   precision 0.5339635118748675   recall 0.5509834288965958
deviation 3/5   iterations 1610/2000   F1 0.524384183629213   accuracy 0.6421188630490956   precision 0.5244874799470561   recall 0.5397280089105476
deviation 3/5   iterations 1620/2000   F1 0.5191898149306181   accuracy 0.6382428940568475   precision 0.5223183440073452   recall 0.5324612165970264
deviation 3/5   iterations 1630/2000   F1 0.5277855990729046   accuracy 0.6408268733850129   precision 0.5297697355942491   recall 0.5452910754578801
deviation 3/5   iterations 1640/2000   F1 0.5178117603258846   accuracy 0.6317829457364341   precision 0.5228031132422754   recall 0.5334551351941628
deviation 3/5   iterations 1650/2000   F1 0.5258769359091376   accuracy 0.6356589147286822   precision 0.5313611731612476   recall 0.5443840996307577
deviation 3/5   iterations 1660/2000   F1 0.5331885551914328   accuracy 0.6498708010335917   precision 0.5309924376051741   recall 0.5499384350088242
deviation 3/5   iterations 1670/2000   F1 0.5267960267960268   accuracy 0.6408268733850129   precision 0.5287144001065903   recall 0.5434939302796868
deviation 3/5   iterations 1680/2000   F1 0.5211893809648105   accuracy 0.6459948320413437   precision 0.5228692488019021   recall 0.5312956669871375
deviation 3/5   iterations 1690/2000   F1 0.5259855547118729   accuracy 0.6395348837209303   precision 0.528174187541823   recall 0.5428009295866861
deviation 3/5   iterations 1700/2000   F1 0.5230085710476668   accuracy 0.6356589147286822   precision 0.5263286104896844   recall 0.5407898092743709
deviation 3/5   iterations 1710/2000   F1 0.5134807288181952   accuracy 0.6253229974160207   precision 0.5183658008658009   recall 0.5309226452015994
deviation 3/5   iterations 1720/2000   F1 0.5320834223813934   accuracy 0.6434108527131783   precision 0.5293892570421831   recall 0.5509323536059606
deviation 3/5   iterations 1730/2000   F1 0.5210993994907472   accuracy 0.6382428940568475   precision 0.52259708170235   recall 0.535987625186726
deviation 3/5   iterations 1740/2000   F1 0.5185373631948974   accuracy 0.6434108527131783   precision 0.5198427247978388   recall 0.5290450338953828
deviation 3/5   iterations 1750/2000   F1 0.5273316582136758   accuracy 0.6382428940568475   precision 0.5283834204220931   recall 0.5464989691891383
deviation 3/5   iterations 1760/2000   F1 0.5290872065549396   accuracy 0.6395348837209303   precision 0.5286809719313946   recall 0.5488533515269585
deviation 3/5   iterations 1770/2000   F1 0.5193736236524163   accuracy 0.6395348837209303   precision 0.5210646688773783   recall 0.5322895855842739
deviation 3/5   iterations 1780/2000   F1 0.5241575034662825   accuracy 0.6395348837209303   precision 0.5249951632371221   recall 0.5402070344694265
deviation 3/5   iterations 1790/2000   F1 0.5349493303923119   accuracy 0.6447028423772609   precision 0.5332393012273092   recall 0.555151762888661
deviation 3/5   iterations 1800/2000   F1 0.5204778375833893   accuracy 0.6382428940568475   precision 0.5227484463668616   recall 0.5342583617752197
deviation 3/5   iterations 1810/2000   F1 0.5333087350950055   accuracy 0.6421188630490956   precision 0.5345114727241852   recall 0.5539015250360335
deviation 3/5   iterations 1820/2000   F1 0.5322939594032771   accuracy 0.6421188630490956   precision 0.5308824503215028   recall 0.5528332480302195
deviation 3/5   iterations 1830/2000   F1 0.5300261878039656   accuracy 0.6434108527131783   precision 0.5319660246998348   recall 0.5476095903163216
deviation 3/5   iterations 1840/2000   F1 0.5290631613265403   accuracy 0.6459948320413437   precision 0.5285863352117611   recall 0.5445366696401832
deviation 3/5   iterations 1850/2000   F1 0.5388699118406742   accuracy 0.6550387596899225   precision 0.5360340374629584   recall 0.5562368463705267
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deviation 3/5   iterations 1860/2000   F1 0.5280187619188829   accuracy 0.6317829457364341   precision 0.5285362586437855   recall 0.55254491448742
deviation 3/5   iterations 1870/2000   F1 0.5316054065663645   accuracy 0.6395348837209303   precision 0.532312925170068   recall 0.5534480371224723
deviation 3/5   iterations 1880/2000   F1 0.5307001754683874   accuracy 0.6537467700258398   precision 0.5276311837091311   recall 0.5433032382636074
deviation 3/5   iterations 1890/2000   F1 0.5316611816873534   accuracy 0.6434108527131783   precision 0.5311336726536009   recall 0.5510681171393345
deviation 3/5   iterations 1900/2000   F1 0.5171460054524571   accuracy 0.6201550387596899   precision 0.5194678823969442   recall 0.5411201180158947
deviation 3/5   iterations 1910/2000   F1 0.5252659314653297   accuracy 0.6395348837209303   precision 0.525201714964616   recall 0.5428009295866861
deviation 3/5   iterations 1920/2000   F1 0.5321457356690518   accuracy 0.6550387596899225   precision 0.5286807360617912   recall 0.5448608706623612
deviation 3/5   iterations 1930/2000   F1 0.5183101563393949   accuracy 0.6201550387596899   precision 0.5225045517958904   recall 0.542917263194088
deviation 3/5   iterations 1940/2000   F1 0.5180587817528791   accuracy 0.6330749354005168   precision 0.5212886153480213   recall 0.5350806493596035
deviation 3/5   iterations 1950/2000   F1 0.5314886158071659   accuracy 0.6421188630490956   precision 0.5296549030419998   recall 0.5511718663854
deviation 3/5   iterations 1960/2000   F1 0.5223161371537867   accuracy 0.6330749354005168   precision 0.5247553725551128   recall 0.5419977030056291
deviation 3/5   iterations 1970/2000   F1 0.5255456420089568   accuracy 0.6408268733850129   precision 0.5273448640987546   recall 0.5427650621073075
deviation 3/5   iterations 1980/2000   F1 0.5324532866184537   accuracy 0.6459948320413437   precision 0.5301809182454343   recall 0.5505890915804555
deviation 3/5   iterations 1990/2000   F1 0.518367943154135   accuracy 0.6266149870801033   precision 0.5231400544915658   recall 0.5395330947797529
deviation 3/5   iterations 2000/2000   F1 0.5213946006491427   accuracy 0.627906976744186   precision 0.5228809426160003   recall 0.5436167405290794

deviation 4/5   iterations 10/2000   F1 0.21121826185873657   accuracy 0.2571059431524548   precision 0.3158179381192063   recall 0.3134452054362145
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deviation 4/5   iterations 20/2000   F1 0.16415071837908068   accuracy 0.27906976744186046   precision 0.305320197044335   recall 0.3208852274272835
deviation 4/5   iterations 30/2000   F1 0.16369305459643835   accuracy 0.2777777777777778   precision 0.297721816823262   recall 0.31932759502852964
deviation 4/5   iterations 40/2000   F1 0.24041502074113674   accuracy 0.34366925064599485   precision 0.36776073607503096   recall 0.35041535360948584
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deviation 4/5   iterations 50/2000   F1 0.31459871290530605   accuracy 0.4095607235142119   precision 0.3949625535393655   recall 0.37990961231230963
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deviation 4/5   iterations 60/2000   F1 0.3252127872595498   accuracy 0.43023255813953487   precision 0.3987046443713523   recall 0.3892004782221274
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deviation 4/5   iterations 70/2000   F1 0.3579697760805553   accuracy 0.4715762273901809   precision 0.405854742723716   recall 0.401068801695798
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deviation 4/5   iterations 80/2000   F1 0.3858279080629883   accuracy 0.5090439276485789   precision 0.42184748928934973   recall 0.4186398084422454
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deviation 4/5   iterations 90/2000   F1 0.4021554740934654   accuracy 0.5361757105943152   precision 0.4284738737668912   recall 0.4305989278780004
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deviation 4/5   iterations 100/2000   F1 0.42171865142575893   accuracy 0.562015503875969   precision 0.4267598677146416   recall 0.43255774315753026
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deviation 4/5   iterations 110/2000   F1 0.41648665848165606   accuracy 0.5555555555555556   precision 0.4249487582820916   recall 0.43075412133734625
deviation 4/5   iterations 120/2000   F1 0.41554256010396357   accuracy 0.562015503875969   precision 0.42186362813250794   recall 0.4298280845068967
deviation 4/5   iterations 130/2000   F1 0.4141620793245257   accuracy 0.5529715762273901   precision 0.4268710993169198   recall 0.4336233967134239
deviation 4/5   iterations 140/2000   F1 0.4489616380168971   accuracy 0.58656330749354   precision 0.4497094067721612   recall 0.45550723215457634
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deviation 4/5   iterations 150/2000   F1 0.4496562009632766   accuracy 0.5917312661498708   precision 0.45084317785085054   recall 0.4564820897483857
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deviation 4/5   iterations 160/2000   F1 0.42833322437399346   accuracy 0.5490956072351422   precision 0.43724113484504884   recall 0.4405980022920754
deviation 4/5   iterations 170/2000   F1 0.44882852910764387   accuracy 0.5917312661498708   precision 0.4516464831998812   recall 0.45814347139320527
deviation 4/5   iterations 180/2000   F1 0.4530273324876024   accuracy 0.5930232558139535   precision 0.4557026402060648   recall 0.4614982489701524
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deviation 4/5   iterations 190/2000   F1 0.44941759105726903   accuracy 0.6007751937984496   precision 0.4485587397352104   recall 0.45434815918667804
deviation 4/5   iterations 200/2000   F1 0.45235867446393757   accuracy 0.5878552971576227   precision 0.45340225072613277   recall 0.45886200973152347
deviation 4/5   iterations 210/2000   F1 0.45425919637804185   accuracy 0.5956072351421189   precision 0.4554524848341915   recall 0.4628842503561538
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deviation 4/5   iterations 220/2000   F1 0.4563332343370205   accuracy 0.6085271317829457   precision 0.4548555391567006   recall 0.45943867681712236
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deviation 4/5   iterations 230/2000   F1 0.45830555396816325   accuracy 0.6020671834625323   precision 0.45722541621751106   recall 0.46216185882576505
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deviation 4/5   iterations 240/2000   F1 0.4704028906814372   accuracy 0.6201550387596899   precision 0.4685331224652996   recall 0.47438988187834746
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deviation 4/5   iterations 250/2000   F1 0.473067596307033   accuracy 0.627906976744186   precision 0.4720428649708226   recall 0.48014138591448424
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deviation 4/5   iterations 260/2000   F1 0.4765617392151135   accuracy 0.6201550387596899   precision 0.4758629322484744   recall 0.4856300940531391
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deviation 4/5   iterations 270/2000   F1 0.4699931506026866   accuracy 0.6149870801033591   precision 0.4698992882023323   recall 0.47507640592935757
deviation 4/5   iterations 280/2000   F1 0.480442284454512   accuracy 0.6201550387596899   precision 0.48149870976504144   recall 0.493411779404918
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deviation 4/5   iterations 290/2000   F1 0.47894471062724664   accuracy 0.6227390180878553   precision 0.47833798434836644   recall 0.4878807271448937
deviation 4/5   iterations 300/2000   F1 0.48400008615172546   accuracy 0.6266149870801033   precision 0.483894129359741   recall 0.4883662293457633
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deviation 4/5   iterations 310/2000   F1 0.49618320202416816   accuracy 0.6472868217054264   precision 0.4937342642769908   recall 0.5011156220785938
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deviation 4/5   iterations 320/2000   F1 0.4940551525917154   accuracy 0.6421188630490956   precision 0.4916695542553156   recall 0.5009375144238506
deviation 4/5   iterations 330/2000   F1 0.4895202961499794   accuracy 0.6317829457364341   precision 0.4886313570805232   recall 0.49798740399710467
deviation 4/5   iterations 340/2000   F1 0.4954743533484483   accuracy 0.6408268733850129   precision 0.493503195867262   recall 0.504567672259616
deviation 4/5   iterations 350/2000   F1 0.496599938486386   accuracy 0.6434108527131783   precision 0.4945235616030815   recall 0.5042244102341109
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deviation 4/5   iterations 360/2000   F1 0.4968998283036932   accuracy 0.648578811369509   precision 0.4945494664524039   recall 0.5018086227715944
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deviation 4/5   iterations 370/2000   F1 0.49715075063363284   accuracy 0.6459948320413437   precision 0.494884180786314   recall 0.503881148208606
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deviation 4/5   iterations 380/2000   F1 0.4967937884799048   accuracy 0.6434108527131783   precision 0.4949881796690307   recall 0.5042244102341109
deviation 4/5   iterations 390/2000   F1 0.49123989647621985   accuracy 0.6317829457364341   precision 0.49108734402852044   recall 0.5005812991143643
deviation 4/5   iterations 400/2000   F1 0.492766234409378   accuracy 0.6330749354005168   precision 0.49258562371384373   recall 0.5021389315131182
deviation 4/5   iterations 410/2000   F1 0.5070650532286695   accuracy 0.6576227390180879   precision 0.5040920214171022   recall 0.5144413129743781
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deviation 4/5   iterations 420/2000   F1 0.5005330178155468   accuracy 0.6537467700258398   precision 0.4981844914389412   recall 0.5045806255435973
deviation 4/5   iterations 430/2000   F1 0.4982978751327838   accuracy 0.6421188630490956   precision 0.49652266484107915   recall 0.5087191997756294
deviation 4/5   iterations 440/2000   F1 0.49251858419150235   accuracy 0.6317829457364341   precision 0.4924347588256846   recall 0.5049044576431303
deviation 4/5   iterations 450/2000   F1 0.508490937091449   accuracy 0.6589147286821705   precision 0.5071408467693298   recall 0.5159989453731321
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deviation 4/5   iterations 460/2000   F1 0.5021025001897655   accuracy 0.6317829457364341   precision 0.5059965642644341   recall 0.5087702750662646
deviation 4/5   iterations 470/2000   F1 0.5059386918440935   accuracy 0.6498708010335917   precision 0.5050266365983593   recall 0.511283704055501
deviation 4/5   iterations 480/2000   F1 0.49533734203016716   accuracy 0.6382428940568475   precision 0.4944628546558912   recall 0.504910934285121
deviation 4/5   iterations 490/2000   F1 0.5049733279501538   accuracy 0.6524547803617571   precision 0.5034218842958222   recall 0.510007928557556
deviation 4/5   iterations 500/2000   F1 0.5031298765852651   accuracy 0.6498708010335917   precision 0.5015441774062465   recall 0.5086219271715545
deviation 4/5   iterations 510/2000   F1 0.5053200107249212   accuracy 0.6524547803617571   precision 0.5040471916706682   recall 0.5108725602633091
deviation 4/5   iterations 520/2000   F1 0.5031718552709493   accuracy 0.6511627906976745   precision 0.5028842846180307   recall 0.5067210327472956
deviation 4/5   iterations 530/2000   F1 0.5042110242314423   accuracy 0.6498708010335917   precision 0.5026420198663905   recall 0.5103511905830609
deviation 4/5   iterations 540/2000   F1 0.5100031708512294   accuracy 0.6589147286821705   precision 0.5079566675154911   recall 0.5152021954340658
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deviation 4/5   iterations 550/2000   F1 0.5028448657494454   accuracy 0.648578811369509   precision 0.5042088315247526   recall 0.5062675448337344
deviation 4/5   iterations 560/2000   F1 0.5068209021098141   accuracy 0.6459948320413437   precision 0.5055725024297599   recall 0.514460373977705
deviation 4/5   iterations 570/2000   F1 0.5139666163784212   accuracy 0.6640826873385013   precision 0.5113961654286698   recall 0.5230941066739008
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deviation 4/5   iterations 580/2000   F1 0.503905723905724   accuracy 0.6382428940568475   precision 0.5048214261636049   recall 0.5112348832921411
deviation 4/5   iterations 590/2000   F1 0.5054122143427646   accuracy 0.6434108527131783   precision 0.5046524417973663   recall 0.5130743725917037
deviation 4/5   iterations 600/2000   F1 0.5111941195917732   accuracy 0.6576227390180879   precision 0.508204214086567   recall 0.5196969849755843
deviation 4/5   iterations 610/2000   F1 0.5084951506261802   accuracy 0.6576227390180879   precision 0.5069865174186079   recall 0.5136445630353119
deviation 4/5   iterations 620/2000   F1 0.5074131335406521   accuracy 0.6550387596899225   precision 0.50523191882841   recall 0.5139878250608169
deviation 4/5   iterations 630/2000   F1 0.5082501402612104   accuracy 0.6563307493540051   precision 0.5066208057587368   recall 0.5138161940480644
deviation 4/5   iterations 640/2000   F1 0.5091347548490405   accuracy 0.6563307493540051   precision 0.5083735632471785   recall 0.5130194441089981
deviation 4/5   iterations 650/2000   F1 0.5072773552195132   accuracy 0.6589147286821705   precision 0.5057091018434049   recall 0.5108790369052998
deviation 4/5   iterations 660/2000   F1 0.5071572529217622   accuracy 0.6563307493540051   precision 0.5055515050324889   recall 0.512086930636558
deviation 4/5   iterations 670/2000   F1 0.5030256614447887   accuracy 0.6395348837209303   precision 0.5047318759080931   recall 0.5093339888678822
deviation 4/5   iterations 680/2000   F1 0.5072265707996567   accuracy 0.6576227390180879   precision 0.5074716686405802   recall 0.5093892862732328
deviation 4/5   iterations 690/2000   F1 0.5051292656601457   accuracy 0.6343669250645995   precision 0.5078858994113231   recall 0.5136148032752789
deviation 4/5   iterations 700/2000   F1 0.503592388660157   accuracy 0.6382428940568475   precision 0.5026375946627896   recall 0.514625528348467
deviation 4/5   iterations 710/2000   F1 0.5098675378968016   accuracy 0.6640826873385013   precision 0.5079704189678909   recall 0.5127864079715493
deviation 4/5   iterations 720/2000   F1 0.5047798469469913   accuracy 0.6395348837209303   precision 0.506257114564149   recall 0.5119278839851418
deviation 4/5   iterations 730/2000   F1 0.50833276882006   accuracy 0.6421188630490956   precision 0.5076688966064843   recall 0.5176370438999092
deviation 4/5   iterations 740/2000   F1 0.515281666008984   accuracy 0.6537467700258398   precision 0.5136735321682208   recall 0.5230094184311622
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deviation 4/5   iterations 750/2000   F1 0.5012056317955961   accuracy 0.624031007751938   precision 0.5031698874836129   recall 0.5157846013163652
deviation 4/5   iterations 760/2000   F1 0.5082465116009406   accuracy 0.6498708010335917   precision 0.5094055917806559   recall 0.5122840992946281
deviation 4/5   iterations 770/2000   F1 0.5152356486568525   accuracy 0.6537467700258398   precision 0.5132814196897654   recall 0.5230094184311622
deviation 4/5   iterations 780/2000   F1 0.5062384820148795   accuracy 0.6408268733850129   precision 0.5067231590831176   recall 0.5143501480896489
deviation 4/5   iterations 790/2000   F1 0.5108025227179332   accuracy 0.6421188630490956   precision 0.5090761728692763   recall 0.5228248341344284
deviation 4/5   iterations 800/2000   F1 0.5207011103412741   accuracy 0.6705426356589147   precision 0.5177067445431498   recall 0.525830241966525
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deviation 4/5   iterations 810/2000   F1 0.5044179163927361   accuracy 0.6447028423772609   precision 0.5044979250586727   recall 0.5103088464616916
deviation 4/5   iterations 820/2000   F1 0.5103999948979773   accuracy 0.6395348837209303   precision 0.5111105642335088   recall 0.5198453328702944
deviation 4/5   iterations 830/2000   F1 0.5127312100519935   accuracy 0.6576227390180879   precision 0.509622697563874   recall 0.522290880092844
deviation 4/5   iterations 840/2000   F1 0.5061728395061729   accuracy 0.6317829457364341   precision 0.5102969534261188   recall 0.5157552104789772
deviation 4/5   iterations 850/2000   F1 0.5129443807258931   accuracy 0.648578811369509   precision 0.5123582543920485   recall 0.5203052974258463
deviation 4/5   iterations 860/2000   F1 0.5061121064814023   accuracy 0.6408268733850129   precision 0.505162497548357   recall 0.5160115297344684
deviation 4/5   iterations 870/2000   F1 0.5112960355787005   accuracy 0.6447028423772609   precision 0.5107790575674772   recall 0.5199555587583506
deviation 4/5   iterations 880/2000   F1 0.515105074658163   accuracy 0.6589147286821705   precision 0.5153831146354511   recall 0.5189322493238263
deviation 4/5   iterations 890/2000   F1 0.5153023598820059   accuracy 0.6498708010335917   precision 0.5143054690442465   recall 0.5235921932361066
deviation 4/5   iterations 900/2000   F1 0.51876692690597   accuracy 0.6537467700258398   precision 0.5153043686171498   recall 0.5290618403714347
deviation 4/5   iterations 910/2000   F1 0.5181100900399146   accuracy 0.648578811369509   precision 0.5227461005091496   recall 0.5257646147271132
deviation 4/5   iterations 920/2000   F1 0.5052076028482023   accuracy 0.6304909560723514   precision 0.5076233823688334   recall 0.516723591430796
deviation 4/5   iterations 930/2000   F1 0.5197473592834736   accuracy 0.6511627906976745   precision 0.517494539411206   recall 0.5304054976360667
deviation 4/5   iterations 940/2000   F1 0.5130253980786946   accuracy 0.6408268733850129   precision 0.5137853107344633   recall 0.5232001104472417
deviation 4/5   iterations 950/2000   F1 0.5192502675982852   accuracy 0.6563307493540051   precision 0.516614762837985   recall 0.5270571967011101
deviation 4/5   iterations 960/2000   F1 0.5157430359224747   accuracy 0.6421188630490956   precision 0.5152298898369453   recall 0.5273516379632551
deviation 4/5   iterations 970/2000   F1 0.5317217904366712   accuracy 0.6744186046511628   precision 0.5282968089915924   recall 0.537623838108873
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deviation 4/5   iterations 980/2000   F1 0.5139632913116833   accuracy 0.6356589147286822   precision 0.5150049603174603   recall 0.5274130430879514
deviation 4/5   iterations 990/2000   F1 0.5153310311979044   accuracy 0.6382428940568475   precision 0.5164821879341418   recall 0.5279344127681996
deviation 4/5   iterations 1000/2000   F1 0.530619552712576   accuracy 0.6757105943152455   precision 0.5280125146525375   recall 0.5348583119788609
deviation 4/5   iterations 1010/2000   F1 0.5142559439234632   accuracy 0.6369509043927648   precision 0.5153182360849576   recall 0.5272414120751989
deviation 4/5   iterations 1020/2000   F1 0.5234179197994987   accuracy 0.6511627906976745   precision 0.5218523596398733   recall 0.5348644196982065
deviation 4/5   iterations 1030/2000   F1 0.5206281233087198   accuracy 0.6472868217054264   precision 0.521247278409889   recall 0.531124035974385
deviation 4/5   iterations 1040/2000   F1 0.5167465016505286   accuracy 0.6408268733850129   precision 0.5170031707481616   recall 0.529320414154201
deviation 4/5   iterations 1050/2000   F1 0.5212062306345459   accuracy 0.6511627906976745   precision 0.5188453768024344   recall 0.53220264281426
deviation 4/5   iterations 1060/2000   F1 0.5277863392750124   accuracy 0.6666666666666666   precision 0.526672077254214   recall 0.5336015974842426
deviation 4/5   iterations 1070/2000   F1 0.5201862703634013   accuracy 0.6447028423772609   precision 0.5198624390643561   recall 0.5323319297056431
deviation 4/5   iterations 1080/2000   F1 0.5242338007784232   accuracy 0.6524547803617571   precision 0.5224859062045583   recall 0.5355574203912071
deviation 4/5   iterations 1090/2000   F1 0.5225100694398833   accuracy 0.6498708010335917   precision 0.5207933373932342   recall 0.5341714190052058
deviation 4/5   iterations 1100/2000   F1 0.5279122819795542   accuracy 0.6718346253229974   precision 0.5250257855122221   recall 0.5327793098998588
deviation 4/5   iterations 1110/2000   F1 0.5257708225154215   accuracy 0.6666666666666666   precision 0.5238274038520542   recall 0.5309398206002962
deviation 4/5   iterations 1120/2000   F1 0.5134269755404289   accuracy 0.6343669250645995   precision 0.5168251536750229   recall 0.5259232924558844
deviation 4/5   iterations 1130/2000   F1 0.5167617777281324   accuracy 0.6434108527131783   precision 0.51702370792341   recall 0.528909270362009
deviation 4/5   iterations 1140/2000   F1 0.5204870614652289   accuracy 0.6498708010335917   precision 0.5190607644023794   recall 0.5315096421212593
deviation 4/5   iterations 1150/2000   F1 0.5175906701630019   accuracy 0.6447028423772609   precision 0.5173451100870455   recall 0.5296022710550098
deviation 4/5   iterations 1160/2000   F1 0.5194651825977127   accuracy 0.6550387596899225   precision 0.5170355170221922   recall 0.5272967094805495
deviation 4/5   iterations 1170/2000   F1 0.5185740328449767   accuracy 0.6459948320413437   precision 0.5181930495775545   recall 0.5302952717480104
deviation 4/5   iterations 1180/2000   F1 0.5246224050096217   accuracy 0.6537467700258398   precision 0.5222139422446519   recall 0.5345211576727015
deviation 4/5   iterations 1190/2000   F1 0.5214793194922785   accuracy 0.6511627906976745   precision 0.5185454445934019   recall 0.53220264281426
deviation 4/5   iterations 1200/2000   F1 0.5178851218575294   accuracy 0.6434108527131783   precision 0.519237946686253   recall 0.5290450338953828
deviation 4/5   iterations 1210/2000   F1 0.5347652788394951   accuracy 0.6666666666666666   precision 0.5325647118344371   recall 0.5432483097809018
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deviation 4/5   iterations 1220/2000   F1 0.5197564675106784   accuracy 0.6408268733850129   precision 0.5203949608336088   recall 0.5337114544496538
deviation 4/5   iterations 1230/2000   F1 0.5178032373551585   accuracy 0.6343669250645995   precision 0.5202628747029718   recall 0.5337728595743502
deviation 4/5   iterations 1240/2000   F1 0.5273070412699538   accuracy 0.6589147286821705   precision 0.5270549959067271   recall 0.5356317787998849
deviation 4/5   iterations 1250/2000   F1 0.5160983403543596   accuracy 0.6472868217054264   precision 0.5148482144661879   recall 0.5258004822064919
deviation 4/5   iterations 1260/2000   F1 0.5217583644045757   accuracy 0.6537467700258398   precision 0.5206623931623932   recall 0.5301979991439355
deviation 4/5   iterations 1270/2000   F1 0.5201829297285673   accuracy 0.6434108527131783   precision 0.5204710751835543   recall 0.5333681924241489
deviation 4/5   iterations 1280/2000   F1 0.5216449180326608   accuracy 0.6447028423772609   precision 0.5218484856518738   recall 0.5349258248229029
deviation 4/5   iterations 1290/2000   F1 0.5232769210964054   accuracy 0.6589147286821705   precision 0.5214919122891789   recall 0.5303082250319918
deviation 4/5   iterations 1300/2000   F1 0.5231757308932363   accuracy 0.6382428940568475   precision 0.5252048645545174   recall 0.5402429019488052
deviation 4/5   iterations 1310/2000   F1 0.5146267400771215   accuracy 0.6330749354005168   precision 0.517209570841738   recall 0.5312148319364692
deviation 4/5   iterations 1320/2000   F1 0.5313169176018402   accuracy 0.661498708010336   precision 0.5304997405245956   recall 0.5396795570698326
deviation 4/5   iterations 1330/2000   F1 0.5306361811108385   accuracy 0.6640826873385013   precision 0.5298522829252715   recall 0.5375391498661344
deviation 4/5   iterations 1340/2000   F1 0.5328283400422422   accuracy 0.6602067183462532   precision 0.5318869425440409   recall 0.543309714905598
deviation 4/5   iterations 1350/2000   F1 0.520216034942866   accuracy 0.6395348837209303   precision 0.5219530307249606   recall 0.5348155989348465
deviation 4/5   iterations 1360/2000   F1 0.5235387800605192   accuracy 0.6511627906976745   precision 0.5219061424974288   recall 0.5348644196982065
deviation 4/5   iterations 1370/2000   F1 0.5259479450046626   accuracy 0.6563307493540051   precision 0.5278982044498617   recall 0.5343136591805703
deviation 4/5   iterations 1380/2000   F1 0.5332256088093229   accuracy 0.661498708010336   precision 0.5320253416287285   recall 0.5431380838928455
deviation 4/5   iterations 1390/2000   F1 0.5195956084370487   accuracy 0.648578811369509   precision 0.5176688409507484   recall 0.5308166414282586
deviation 4/5   iterations 1400/2000   F1 0.5245548136682836   accuracy 0.6434108527131783   precision 0.5239018198562534   recall 0.5403531278368614
deviation 4/5   iterations 1410/2000   F1 0.5357903907323172   accuracy 0.6692506459948321   precision 0.5346699674502878   recall 0.5421082978163304
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deviation 4/5   iterations 1420/2000   F1 0.5265689262678129   accuracy 0.6472868217054264   precision 0.5257208924524099   recall 0.5423642481491765
deviation 4/5   iterations 1430/2000   F1 0.5271187142432799   accuracy 0.648578811369509   precision 0.5254005232846763   recall 0.5421926171364241
deviation 4/5   iterations 1440/2000   F1 0.5333872825806316   accuracy 0.6627906976744186   precision 0.5321265651910813   recall 0.5429664528800929
deviation 4/5   iterations 1450/2000   F1 0.532472896444149   accuracy 0.661498708010336   precision 0.5308656512976578   recall 0.5422734521870923
deviation 4/5   iterations 1460/2000   F1 0.5255222490661192   accuracy 0.6524547803617571   precision 0.5247721113574771   recall 0.5364899338636473
deviation 4/5   iterations 1470/2000   F1 0.5376397381692688   accuracy 0.6705426356589147   precision 0.5334816542246883   recall 0.5461240617989701
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deviation 4/5   iterations 1480/2000   F1 0.5285313186455992   accuracy 0.661498708010336   precision 0.5258393738910362   recall 0.5369498984191993
deviation 4/5   iterations 1490/2000   F1 0.5242871479868796   accuracy 0.6537467700258398   precision 0.5242544323038746   recall 0.5337244077336352
deviation 4/5   iterations 1500/2000   F1 0.5241121844052102   accuracy 0.6550387596899225   precision 0.5225310930511609   recall 0.5334848949541958
deviation 4/5   iterations 1510/2000   F1 0.5235486265775798   accuracy 0.6498708010335917   precision 0.5223451439156841   recall 0.535103932477646
deviation 4/5   iterations 1520/2000   F1 0.5232977770754319   accuracy 0.648578811369509   precision 0.5220113456116291   recall 0.5352755634903984
deviation 4/5   iterations 1530/2000   F1 0.5377561442440232   accuracy 0.6705426356589147   precision 0.5337649766142455   recall 0.5461240617989701
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deviation 4/5   iterations 1540/2000   F1 0.5211671868660459   accuracy 0.6395348837209303   precision 0.522105208773075   recall 0.536544862346353
deviation 4/5   iterations 1550/2000   F1 0.5238247710902314   accuracy 0.648578811369509   precision 0.5232011376426549   recall 0.5361401951961516
deviation 4/5   iterations 1560/2000   F1 0.5254580788792335   accuracy 0.6524547803617571   precision 0.5249675133037979   recall 0.5364899338636473
deviation 4/5   iterations 1570/2000   F1 0.5212111209038118   accuracy 0.6408268733850129   precision 0.5214056020986714   recall 0.5355085996278471
deviation 4/5   iterations 1580/2000   F1 0.5330486973123943   accuracy 0.6640826873385013   precision 0.5290861606991442   recall 0.5426590583339667
deviation 4/5   iterations 1590/2000   F1 0.5250347862975925   accuracy 0.6382428940568475   precision 0.5278336207206905   recall 0.5429725605994387
deviation 4/5   iterations 1600/2000   F1 0.5329777068923168   accuracy 0.6640826873385013   precision 0.5288435210567659   recall 0.5417944266282134
deviation 4/5   iterations 1610/2000   F1 0.5242818069443457   accuracy 0.6421188630490956   precision 0.5239383736773644   recall 0.5397280089105476
deviation 4/5   iterations 1620/2000   F1 0.5307156677426788   accuracy 0.6550387596899225   precision 0.5288127122800849   recall 0.5431316072508549
deviation 4/5   iterations 1630/2000   F1 0.5263627689732461   accuracy 0.6472868217054264   precision 0.5247245633662495   recall 0.5407028665043571
deviation 4/5   iterations 1640/2000   F1 0.5225044700474712   accuracy 0.6421188630490956   precision 0.5219756519250641   recall 0.5370662320266012
deviation 4/5   iterations 1650/2000   F1 0.5369042158256574   accuracy 0.6705426356589147   precision 0.5337548100312235   recall 0.5435980484483974
deviation 4/5   iterations 1660/2000   F1 0.5286877025239786   accuracy 0.6498708010335917   precision 0.5260359121763806   recall 0.5429534995961117
deviation 4/5   iterations 1670/2000   F1 0.523634488557076   accuracy 0.6524547803617571   precision 0.5203516902242477   recall 0.5338281569797009
deviation 4/5   iterations 1680/2000   F1 0.5187050522747974   accuracy 0.6434108527131783   precision 0.5188278271597032   recall 0.5299096656011361
deviation 4/5   iterations 1690/2000   F1 0.5269275556360652   accuracy 0.6563307493540051   precision 0.5234105292031583   recall 0.536771790764456
deviation 4/5   iterations 1700/2000   F1 0.5305595856006182   accuracy 0.6589147286821705   precision 0.5277375290314542   recall 0.540819569034404
deviation 4/5   iterations 1710/2000   F1 0.5263100997645083   accuracy 0.6459948320413437   precision 0.5263862772938332   recall 0.5400777475780433
deviation 4/5   iterations 1720/2000   F1 0.5254340978873197   accuracy 0.6472868217054264   precision 0.52392299229923   recall 0.539770353031917
deviation 4/5   iterations 1730/2000   F1 0.5245990693149221   accuracy 0.6498708010335917   precision 0.523907700031756   recall 0.5359685641833991
deviation 4/5   iterations 1740/2000   F1 0.5310270601246547   accuracy 0.6589147286821705   precision 0.5279572917732382   recall 0.5416842007401572
deviation 4/5   iterations 1750/2000   F1 0.5262845863602471   accuracy 0.6537467700258398   precision 0.5238320413257203   recall 0.5379796844957143
deviation 4/5   iterations 1760/2000   F1 0.5187470843349287   accuracy 0.6421188630490956   precision 0.518430949814349   recall 0.5326073099644613
deviation 4/5   iterations 1770/2000   F1 0.5231667037790891   accuracy 0.6498708010335917   precision 0.5213204240985707   recall 0.5342393007718927
deviation 4/5   iterations 1780/2000   F1 0.5312558024385715   accuracy 0.6537467700258398   precision 0.5325548564874202   recall 0.5434390017969812
deviation 4/5   iterations 1790/2000   F1 0.5251394271376909   accuracy 0.6472868217054264   precision 0.5235864142077105   recall 0.539770353031917
deviation 4/5   iterations 1800/2000   F1 0.5369687277962466   accuracy 0.661498708010336   precision 0.5360449735449735   recall 0.5484616376607385
deviation 4/5   iterations 1810/2000   F1 0.5364675278362949   accuracy 0.6602067183462532   precision 0.5352114828750342   recall 0.548633268673491
deviation 4/5   iterations 1820/2000   F1 0.5300143942966098   accuracy 0.6563307493540051   precision 0.5269633659409328   recall 0.5420274627656622
deviation 4/5   iterations 1830/2000   F1 0.5297430919270364   accuracy 0.6550387596899225   precision 0.5271261441474208   recall 0.5414023438393484
deviation 4/5   iterations 1840/2000   F1 0.5348780345811259   accuracy 0.6627906976744186   precision 0.5318979266347688   recall 0.5455603479973526
deviation 4/5   iterations 1850/2000   F1 0.5310847980615424   accuracy 0.6563307493540051   precision 0.5282508958389309   recall 0.5429599762381024
deviation 4/5   iterations 1860/2000   F1 0.5267943448864928   accuracy 0.6511627906976745   precision 0.5252627599546883   recall 0.5393233417603464
deviation 4/5   iterations 1870/2000   F1 0.5276838960806862   accuracy 0.6511627906976745   precision 0.5263726346433769   recall 0.5402558552327865
deviation 4/5   iterations 1880/2000   F1 0.5261738818897347   accuracy 0.6511627906976745   precision 0.5247188367199508   recall 0.5384587100545932
deviation 4/5   iterations 1890/2000   F1 0.5278138388713264   accuracy 0.6576227390180879   precision 0.5248060550972552   recall 0.53832942316321
deviation 4/5   iterations 1900/2000   F1 0.5277933571597659   accuracy 0.661498708010336   precision 0.5251109443431231   recall 0.5368820166525123
deviation 4/5   iterations 1910/2000   F1 0.5282782405464289   accuracy 0.6511627906976745   precision 0.5277051967372026   recall 0.5410526051718527
deviation 4/5   iterations 1920/2000   F1 0.5237836891468176   accuracy 0.6563307493540051   precision 0.5214307536140974   recall 0.5349067638195758
deviation 4/5   iterations 1930/2000   F1 0.526451340915567   accuracy 0.6550387596899225   precision 0.524523826167684   recall 0.5370113035438956
deviation 4/5   iterations 1940/2000   F1 0.5260179475277944   accuracy 0.648578811369509   precision 0.5243097255990415   recall 0.5396666037858514
deviation 4/5   iterations 1950/2000   F1 0.5350039509149369   accuracy 0.6602067183462532   precision 0.5312180914632166   recall 0.5467682417286108
deviation 4/5   iterations 1960/2000   F1 0.5258408393172668   accuracy 0.6576227390180879   precision 0.5225419398528642   recall 0.5356676462792634
deviation 4/5   iterations 1970/2000   F1 0.5400310196779715   accuracy 0.6576227390180879   precision 0.5381973661594515   recall 0.5551647161726424
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deviation 4/5   iterations 1980/2000   F1 0.5322115630738212   accuracy 0.6589147286821705   precision 0.5291269343253813   recall 0.5442780958574168
deviation 4/5   iterations 1990/2000   F1 0.5286332028641494   accuracy 0.6589147286821705   precision 0.5261105778714015   recall 0.5406838055010302
deviation 4/5   iterations 2000/2000   F1 0.5333424358743161   accuracy 0.6627906976744186   precision 0.5302293918576219   recall 0.5437632028191594

deviation 5/5   iterations 10/2000   F1 0.24463677273574227   accuracy 0.28552971576227393   precision 0.34101074535276493   recall 0.3680748198079324
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deviation 5/5   iterations 20/2000   F1 0.21705428149409015   accuracy 0.23772609819121446   precision 0.3675235285854755   recall 0.37910556590315253
deviation 5/5   iterations 30/2000   F1 0.24803722327569933   accuracy 0.2596899224806202   precision 0.3858108310440968   recall 0.3795784837426858
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deviation 5/5   iterations 40/2000   F1 0.31042344546770234   accuracy 0.313953488372093   precision 0.41656230479759887   recall 0.40024184109124367
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deviation 5/5   iterations 50/2000   F1 0.36500334991311906   accuracy 0.3850129198966408   precision 0.44674870332232786   recall 0.4342373659775766
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deviation 5/5   iterations 60/2000   F1 0.3875960135315333   accuracy 0.42377260981912146   precision 0.45212588033209516   recall 0.44365141105943184
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deviation 5/5   iterations 70/2000   F1 0.44054987814334773   accuracy 0.5129198966408268   precision 0.46343913625255867   recall 0.47820962496225716
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deviation 5/5   iterations 80/2000   F1 0.4633903390034752   accuracy 0.5529715762273901   precision 0.47295983636910116   recall 0.48758780256473383
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deviation 5/5   iterations 90/2000   F1 0.4371244457702066   accuracy 0.5012919896640827   precision 0.4760893566595699   recall 0.47538109504275367
deviation 5/5   iterations 100/2000   F1 0.4611538162967322   accuracy 0.5193798449612403   precision 0.49403512885137646   recall 0.5094285560392268
deviation 5/5   iterations 110/2000   F1 0.4772269333913169   accuracy 0.5775193798449613   precision 0.48650899587341345   recall 0.4967031842697287
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deviation 5/5   iterations 120/2000   F1 0.48893904216982786   accuracy 0.5956072351421189   precision 0.49016695983826547   recall 0.50686253507737
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deviation 5/5   iterations 130/2000   F1 0.4865119750732882   accuracy 0.5878552971576227   precision 0.4925158555295542   recall 0.5070955712148187
deviation 5/5   iterations 140/2000   F1 0.4979554581964221   accuracy 0.6149870801033591   precision 0.5010930865765735   recall 0.5096795054206624
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deviation 5/5   iterations 150/2000   F1 0.4887875064622904   accuracy 0.5981912144702842   precision 0.4896224510397739   recall 0.5047900096403586
deviation 5/5   iterations 160/2000   F1 0.4933498974812651   accuracy 0.5930232558139535   precision 0.501405806108165   recall 0.5155305365881492
deviation 5/5   iterations 170/2000   F1 0.49197349857560707   accuracy 0.6020671834625323   precision 0.4941262605743302   recall 0.507733643425114
deviation 5/5   iterations 180/2000   F1 0.49255867833253314   accuracy 0.599483204134367   precision 0.4955444561935686   recall 0.5098740506288122
deviation 5/5   iterations 190/2000   F1 0.5056311720598847   accuracy 0.6124031007751938   precision 0.5070207909578198   recall 0.5254503746163511
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deviation 5/5   iterations 200/2000   F1 0.5054165870234681   accuracy 0.6291989664082688   precision 0.5035479333968513   recall 0.5210826174389407
deviation 5/5   iterations 210/2000   F1 0.5072143108380743   accuracy 0.6214470284237726   precision 0.5068191973790886   recall 0.5257745756385294
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deviation 5/5   iterations 220/2000   F1 0.5070255973069272   accuracy 0.6214470284237726   precision 0.5058883845414136   recall 0.5215871806431371
deviation 5/5   iterations 230/2000   F1 0.5108195957474609   accuracy 0.6162790697674418   precision 0.513831291048909   recall 0.5286655354678542
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deviation 5/5   iterations 240/2000   F1 0.5206877379986   accuracy 0.6162790697674418   precision 0.5252178211188294   recall 0.5470943283554192
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deviation 5/5   iterations 250/2000   F1 0.5144929292237024   accuracy 0.6188630490956072   precision 0.5194046403993782   recall 0.5337137089769292
deviation 5/5   iterations 260/2000   F1 0.5172235172235172   accuracy 0.627906976744186   precision 0.5166702851694875   recall 0.5380216596944386
deviation 5/5   iterations 270/2000   F1 0.5158651986380453   accuracy 0.5968992248062015   precision 0.5323336839142607   recall 0.5571967830929146
deviation 5/5   iterations 280/2000   F1 0.5226631674086617   accuracy 0.624031007751938   precision 0.5257836326170886   recall 0.5443352788673976
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deviation 5/5   iterations 290/2000   F1 0.5248493088452743   accuracy 0.6330749354005168   precision 0.5223031492673519   recall 0.5427944529446954
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deviation 5/5   iterations 300/2000   F1 0.5272486067079892   accuracy 0.6266149870801033   precision 0.5281070764260224   recall 0.5532993203051171
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deviation 5/5   iterations 310/2000   F1 0.5256217739045571   accuracy 0.6253229974160207   precision 0.5316478076379066   recall 0.5503518333282914
deviation 5/5   iterations 320/2000   F1 0.5388202138846403   accuracy 0.6408268733850129   precision 0.536503864132226   recall 0.5620584867006255
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deviation 5/5   iterations 330/2000   F1 0.5306409393806363   accuracy 0.648578811369509   precision 0.5265036755621122   recall 0.54651577566519
deviation 5/5   iterations 340/2000   F1 0.5292611675983242   accuracy 0.6266149870801033   precision 0.5326076169416261   recall 0.5553679925500581
deviation 5/5   iterations 350/2000   F1 0.5333097183103646   accuracy 0.6356589147286822   precision 0.5313229829826919   recall 0.5564889435113024
deviation 5/5   iterations 360/2000   F1 0.5344523128028283   accuracy 0.6343669250645995   precision 0.5352036924609661   recall 0.5593902331746884
deviation 5/5   iterations 370/2000   F1 0.5371631148505583   accuracy 0.6304909560723514   precision 0.5400057673345612   recall 0.5678904568647855
deviation 5/5   iterations 380/2000   F1 0.536250097696204   accuracy 0.6408268733850129   precision 0.5353609702499652   recall 0.558396314577552
deviation 5/5   iterations 390/2000   F1 0.5366300914409419   accuracy 0.6447028423772609   precision 0.5329571531358278   recall 0.5560163945944142
deviation 5/5   iterations 400/2000   F1 0.5315506846613985   accuracy 0.627906976744186   precision 0.5370674527207333   recall 0.5595195200660715
deviation 5/5   iterations 410/2000   F1 0.5353960563470161   accuracy 0.6343669250645995   precision 0.5393846358320042   recall 0.5621877735920088
deviation 5/5   iterations 420/2000   F1 0.5427529612254532   accuracy 0.6382428940568475   precision 0.5435346896682378   recall 0.5719805792561027
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deviation 5/5   iterations 430/2000   F1 0.5388265279864571   accuracy 0.6511627906976745   precision 0.5340689058774165   recall 0.5542936078248984
deviation 5/5   iterations 440/2000   F1 0.5395781254848359   accuracy 0.6330749354005168   precision 0.5423871422292258   recall 0.5701410899565401
deviation 5/5   iterations 450/2000   F1 0.5346951687351115   accuracy 0.6266149870801033   precision 0.5429573170912821   recall 0.5668118500249104
deviation 5/5   iterations 460/2000   F1 0.5434504763287141   accuracy 0.6447028423772609   precision 0.540579285092163   recall 0.5675281338359536
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deviation 5/5   iterations 470/2000   F1 0.5454167979232215   accuracy 0.6395348837209303   precision 0.5442027910646453   recall 0.5761999885388032
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deviation 5/5   iterations 480/2000   F1 0.5334959789137687   accuracy 0.6330749354005168   precision 0.5373378074921762   recall 0.5588329960150616
deviation 5/5   iterations 490/2000   F1 0.5427416797657024   accuracy 0.6434108527131783   precision 0.5392422502870264   recall 0.5676318830820192
deviation 5/5   iterations 500/2000   F1 0.5387871603364852   accuracy 0.6459948320413437   precision 0.5372185969336913   recall 0.5585744222322951
deviation 5/5   iterations 510/2000   F1 0.5397266439978553   accuracy 0.6421188630490956   precision 0.5365693259819438   recall 0.5634803555660056
deviation 5/5   iterations 520/2000   F1 0.5368306159119703   accuracy 0.6434108527131783   precision 0.5348944575331381   recall 0.5571884208462938
deviation 5/5   iterations 530/2000   F1 0.5387211134531241   accuracy 0.6356589147286822   precision 0.5389199680727884   recall 0.5670681692804016
deviation 5/5   iterations 540/2000   F1 0.5378366462868555   accuracy 0.6382428940568475   precision 0.5425770241412433   recall 0.5633342621985707
deviation 5/5   iterations 550/2000   F1 0.546838866100355   accuracy 0.6498708010335917   precision 0.5420423839691139   recall 0.5693676231355161
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deviation 5/5   iterations 560/2000   F1 0.5374980629006193   accuracy 0.6395348837209303   precision 0.5397785796484637   recall 0.562230117713378
deviation 5/5   iterations 570/2000   F1 0.5469379247855474   accuracy 0.6511627906976745   precision 0.5427884514746343   recall 0.5692638738894505
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deviation 5/5   iterations 580/2000   F1 0.5521261655177685   accuracy 0.6627906976744186   precision 0.5461925917164253   recall 0.5693126946528105
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deviation 5/5   iterations 590/2000   F1 0.5405196742515811   accuracy 0.6421188630490956   precision 0.5396691116607647   recall 0.565345382510886
deviation 5/5   iterations 600/2000   F1 0.5457157915591795   accuracy 0.6511627906976745   precision 0.5405493346669817   recall 0.5673309651778834
deviation 5/5   iterations 610/2000   F1 0.5431404399727081   accuracy 0.6524547803617571   precision 0.5407758454347836   recall 0.5621073074639856
deviation 5/5   iterations 620/2000   F1 0.5470904179196505   accuracy 0.6537467700258398   precision 0.5437958395918754   recall 0.5680559801581925
deviation 5/5   iterations 630/2000   F1 0.5481280409150965   accuracy 0.6550387596899225   precision 0.542795788132859   recall 0.5693420854901986
deviation 5/5   iterations 640/2000   F1 0.5514587599003704   accuracy 0.6602067183462532   precision 0.5470516921080125   recall 0.5706563519174427
deviation 5/5   iterations 650/2000   F1 0.5475574488944538   accuracy 0.6447028423772609   precision 0.5467714198917206   recall 0.5773106096659865
deviation 5/5   iterations 660/2000   F1 0.5502954335929902   accuracy 0.6472868217054264   precision 0.5477112247256951   recall 0.5794933609910541
deviation 5/5   iterations 670/2000   F1 0.5491157532195269   accuracy 0.6550387596899225   precision 0.5479611711362185   recall 0.5714786395018265
deviation 5/5   iterations 680/2000   F1 0.548827751392254   accuracy 0.6511627906976745   precision 0.5445173772779808   recall 0.5735191506515297
deviation 5/5   iterations 690/2000   F1 0.551953811155585   accuracy 0.6511627906976745   precision 0.5543180861671301   recall 0.5818438901368039
deviation 5/5   iterations 700/2000   F1 0.5617368096492773   accuracy 0.6679586563307494   precision 0.5545889984574455   recall 0.5817314097214724
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deviation 5/5   iterations 710/2000   F1 0.5526367508299378   accuracy 0.6550387596899225   precision 0.5509906682320476   recall 0.578463574914539
deviation 5/5   iterations 720/2000   F1 0.5504031353049844   accuracy 0.6563307493540051   precision 0.5477162005620091   recall 0.5730362719005805
deviation 5/5   iterations 730/2000   F1 0.5623361601207787   accuracy 0.665374677002584   precision 0.5556341039339826   recall 0.585668962103364
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deviation 5/5   iterations 740/2000   F1 0.5524258299849573   accuracy 0.6589147286821705   precision 0.5486622789212303   recall 0.5743543915198949
deviation 5/5   iterations 750/2000   F1 0.5640064381569814   accuracy 0.6666666666666666   precision 0.5568845800591897   recall 0.587226594502118
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deviation 5/5   iterations 760/2000   F1 0.5520976306010897   accuracy 0.6511627906976745   precision 0.5489186739186739   recall 0.5798430996585497
deviation 5/5   iterations 770/2000   F1 0.5527482053365841   accuracy 0.6679586563307494   precision 0.5486236187848138   recall 0.5668969071902942
deviation 5/5   iterations 780/2000   F1 0.5649811364670393   accuracy 0.665374677002584   precision 0.557484072423258   recall 0.5891274889263769
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deviation 5/5   iterations 790/2000   F1 0.5596347671409198   accuracy 0.6666666666666666   precision 0.5539823008849557   recall 0.5802416590894054
deviation 5/5   iterations 800/2000   F1 0.557166936711974   accuracy 0.6679586563307494   precision 0.5514947245598608   recall 0.5747464743087599
deviation 5/5   iterations 810/2000   F1 0.5477566309718231   accuracy 0.6498708010335917   precision 0.5430825611084329   recall 0.5719615182527757
deviation 5/5   iterations 820/2000   F1 0.5488313644905382   accuracy 0.6666666666666666   precision 0.544640377408739   recall 0.5618128662018406
deviation 5/5   iterations 830/2000   F1 0.564132492707509   accuracy 0.6757105943152455   precision 0.5567955652115048   recall 0.5796333466391435
deviation 5/5   iterations 840/2000   F1 0.5528896220138012   accuracy 0.6537467700258398   precision 0.5527960158905532   recall 0.5805002328721719
deviation 5/5   iterations 850/2000   F1 0.5620011541836983   accuracy 0.6602067183462532   precision 0.5576532414767709   recall 0.5900176582774477
deviation 5/5   iterations 860/2000   F1 0.5482511754993781   accuracy 0.6744186046511628   precision 0.5432363027228623   recall 0.5561205127631249
deviation 5/5   iterations 870/2000   F1 0.5561260866884482   accuracy 0.6679586563307494   precision 0.5496794506740071   recall 0.5729493291305666
deviation 5/5   iterations 880/2000   F1 0.5560451155281015   accuracy 0.6550387596899225   precision 0.5522274762984583   recall 0.5837192469157452
deviation 5/5   iterations 890/2000   F1 0.5573352276389515   accuracy 0.6589147286821705   precision 0.5513753258841415   recall 0.5814072086992943
deviation 5/5   iterations 900/2000   F1 0.5508111259550488   accuracy 0.6576227390180879   precision 0.5453010416180111   recall 0.5715927185819533
deviation 5/5   iterations 910/2000   F1 0.5538361333621954   accuracy 0.6563307493540051   precision 0.5517911031832833   recall 0.5792244573742267
deviation 5/5   iterations 920/2000   F1 0.5601524319756364   accuracy 0.6744186046511628   precision 0.553263697444894   recall 0.5745493056506897
deviation 5/5   iterations 930/2000   F1 0.5581356972281589   accuracy 0.6731266149870802   precision 0.5513817067918375   recall 0.5721270415461827
deviation 5/5   iterations 940/2000   F1 0.5478573088718698   accuracy 0.6472868217054264   precision 0.5472727272727272   recall 0.5761027159347282
deviation 5/5   iterations 950/2000   F1 0.5646660958605755   accuracy 0.6731266149870802   precision 0.5571407504150859   recall 0.5819095173762155
deviation 5/5   iterations 960/2000   F1 0.5630912040033323   accuracy 0.6666666666666666   precision 0.5565275344610953   recall 0.5855652128572985
deviation 5/5   iterations 970/2000   F1 0.5630155080893968   accuracy 0.6705426356589147   precision 0.5560528360528361   recall 0.5814560294626543
deviation 5/5   iterations 980/2000   F1 0.5605796514060813   accuracy 0.6731266149870802   precision 0.5537076221375841   recall 0.5764502000749486
deviation 5/5   iterations 990/2000   F1 0.5567969866009082   accuracy 0.6744186046511628   precision 0.5505010402456921   recall 0.5675643702379772
deviation 5/5   iterations 1000/2000   F1 0.545794122661137   accuracy 0.6498708010335917   precision 0.542890943948554   recall 0.5693676231355161
deviation 5/5   iterations 1010/2000   F1 0.5470707990339263   accuracy 0.6550387596899225   precision 0.5423346241442465   recall 0.567680703845379
deviation 5/5   iterations 1020/2000   F1 0.5562189646319107   accuracy 0.6731266149870802   precision 0.5498684949384564   recall 0.5678038830174167
deviation 5/5   iterations 1030/2000   F1 0.5573642614399682   accuracy 0.6666666666666666   precision 0.551207322195329   recall 0.5765794869663319
deviation 5/5   iterations 1040/2000   F1 0.5601891191171752   accuracy 0.665374677002584   precision 0.5541489744566951   recall 0.5820746717469775
deviation 5/5   iterations 1050/2000   F1 0.5712571243409434   accuracy 0.6744186046511628   precision 0.5633444485718399   recall 0.5914524804268091
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deviation 5/5   iterations 1060/2000   F1 0.553875089696742   accuracy 0.6731266149870802   precision 0.5477341541532837   recall 0.5668034877782896
deviation 5/5   iterations 1070/2000   F1 0.5614578096195744   accuracy 0.6627906976744186   precision 0.5567647214692187   recall 0.5868768558346223
deviation 5/5   iterations 1080/2000   F1 0.5547349095608946   accuracy 0.6692506459948321   precision 0.5485231221598502   recall 0.5692512895281143
deviation 5/5   iterations 1090/2000   F1 0.5584899349328188   accuracy 0.6744186046511628   precision 0.5520051561848193   recall 0.5702940288886107
deviation 5/5   iterations 1100/2000   F1 0.557314331446055   accuracy 0.6640826873385013   precision 0.5515594541910331   recall 0.5770585125252108
deviation 5/5   iterations 1110/2000   F1 0.5580775128716052   accuracy 0.6679586563307494   precision 0.5516829663888487   recall 0.5772046058926458
deviation 5/5   iterations 1120/2000   F1 0.5658461794793618   accuracy 0.6782945736434108   precision 0.5590516274964453   recall 0.578561216441259
deviation 5/5   iterations 1130/2000   F1 0.5612516415646159   accuracy 0.6718346253229974   precision 0.5543613216914381   recall 0.5792836079716478
deviation 5/5   iterations 1140/2000   F1 0.559500861838916   accuracy 0.6692506459948321   precision 0.5525511541653061   recall 0.5763041067075138
deviation 5/5   iterations 1150/2000   F1 0.5599292134107812   accuracy 0.6718346253229974   precision 0.5527333119039967   recall 0.5749604494428817
deviation 5/5   iterations 1160/2000   F1 0.5539834932413112   accuracy 0.6537467700258398   precision 0.5496156950872986   recall 0.5802965875721111
deviation 5/5   iterations 1170/2000   F1 0.5592301706856172   accuracy 0.6679586563307494   precision 0.5528741920679016   recall 0.5765436194869532
deviation 5/5   iterations 1180/2000   F1 0.5520760869444551   accuracy 0.661498708010336   precision 0.545955133144961   recall 0.56955220743225
deviation 5/5   iterations 1190/2000   F1 0.5573110624119534   accuracy 0.6511627906976745   precision 0.5542773133046639   recall 0.5894898119552089
deviation 5/5   iterations 1200/2000   F1 0.5516615072170628   accuracy 0.661498708010336   precision 0.5456512204165423   recall 0.5702810756046294
deviation 5/5   iterations 1210/2000   F1 0.5607404762319497   accuracy 0.6744186046511628   precision 0.5540945343305225   recall 0.5738204374783105
deviation 5/5   iterations 1220/2000   F1 0.5598685960435518   accuracy 0.6640826873385013   precision 0.5534738485558157   recall 0.58224630275973
deviation 5/5   iterations 1230/2000   F1 0.5530509973335085   accuracy 0.6666666666666666   precision 0.5468839767359756   recall 0.567865288142113
deviation 5/5   iterations 1240/2000   F1 0.5533804586668023   accuracy 0.6627906976744186   precision 0.5472967500253113   recall 0.5719065897700703
deviation 5/5   iterations 1250/2000   F1 0.5573374930378611   accuracy 0.6705426356589147   precision 0.5509287974517204   recall 0.5741995669831942
deviation 5/5   iterations 1260/2000   F1 0.5617920906078459   accuracy 0.6640826873385013   precision 0.5559711199085737   recall 0.5867052248218697
deviation 5/5   iterations 1270/2000   F1 0.5563098938229881   accuracy 0.6731266149870802   precision 0.5498521511081271   recall 0.5686006329564829
deviation 5/5   iterations 1280/2000   F1 0.5521571381748372   accuracy 0.665374677002584   precision 0.546459470718912   recall 0.5689015508606187
deviation 5/5   iterations 1290/2000   F1 0.5580809303606756   accuracy 0.6666666666666666   precision 0.5524338727027703   recall 0.5783766321445252
deviation 5/5   iterations 1300/2000   F1 0.5570500612439763   accuracy 0.6757105943152455   precision 0.5520962251519844   recall 0.5689862391033573
deviation 5/5   iterations 1310/2000   F1 0.5614646597570677   accuracy 0.6640826873385013   precision 0.5555733261658539   recall 0.5858405931161167
deviation 5/5   iterations 1320/2000   F1 0.5558957591492659   accuracy 0.6666666666666666   precision 0.5505387130861941   recall 0.5731888419100061
deviation 5/5   iterations 1330/2000   F1 0.5557999338403149   accuracy 0.6731266149870802   precision 0.5495086561657443   recall 0.5668713695449765
deviation 5/5   iterations 1340/2000   F1 0.5572831469434582   accuracy 0.6666666666666666   precision 0.5513553140416685   recall 0.5766473687330188
deviation 5/5   iterations 1350/2000   F1 0.5556233771054173   accuracy 0.6718346253229974   precision 0.5491964556540693   recall 0.5697047774416756
deviation 5/5   iterations 1360/2000   F1 0.5505847318270299   accuracy 0.6666666666666666   precision 0.5451293142290708   recall 0.5668648929029859
deviation 5/5   iterations 1370/2000   F1 0.5571965594680468   accuracy 0.6757105943152455   precision 0.551312753783684   recall 0.5707833842815506
deviation 5/5   iterations 1380/2000   F1 0.5501432982841471   accuracy 0.6666666666666666   precision 0.5450732217973597   recall 0.5667970111362989
deviation 5/5   iterations 1390/2000   F1 0.5671684704462691   accuracy 0.6692506459948321   precision 0.5606181359709586   recall 0.5920711227111322
deviation 5/5   iterations 1400/2000   F1 0.5466529793561868   accuracy 0.6731266149870802   precision 0.5421302081745862   recall 0.5553596303034373
deviation 5/5   iterations 1410/2000   F1 0.555872111427667   accuracy 0.6666666666666666   precision 0.5495050369258166   recall 0.5739177100823853
deviation 5/5   iterations 1420/2000   F1 0.5593826627644051   accuracy 0.6770025839793282   precision 0.552915667002038   recall 0.570747516802172
deviation 5/5   iterations 1430/2000   F1 0.5641961700436439   accuracy 0.6757105943152455   precision 0.5571064335557089   recall 0.5797691101725172
deviation 5/5   iterations 1440/2000   F1 0.5587111790721536   accuracy 0.6705426356589147   precision 0.5527858409933882   recall 0.5767934621004537
deviation 5/5   iterations 1450/2000   F1 0.5591834186082072   accuracy 0.6795865633074936   precision 0.5532822462856374   recall 0.5686071095984736
deviation 5/5   iterations 1460/2000   F1 0.5649380727071035   accuracy 0.6640826873385013   precision 0.5595693113895029   recall 0.592893410295516
deviation 5/5   iterations 1470/2000   F1 0.5585688490485917   accuracy 0.6757105943152455   precision 0.5532058517133144   recall 0.5751065428103166
deviation 5/5   iterations 1480/2000   F1 0.5610511159107271   accuracy 0.6770025839793282   precision 0.5544229974259076   recall 0.575070675330938
deviation 5/5   iterations 1490/2000   F1 0.5616269002315514   accuracy 0.6782945736434108   precision 0.5555671380552049   recall 0.5756957942572517
deviation 5/5   iterations 1500/2000   F1 0.5599578530155656   accuracy 0.6744186046511628   precision 0.5536292457968425   recall 0.5755497008898168
deviation 5/5   iterations 1510/2000   F1 0.5648797407892613   accuracy 0.6821705426356589   precision 0.5582754426703862   recall 0.5769780463971875
deviation 5/5   iterations 1520/2000   F1 0.567826903827429   accuracy 0.6847545219638242   precision 0.562919791572543   recall 0.5774315343107488
deviation 5/5   iterations 1530/2000   F1 0.5516344132782489   accuracy 0.6602067183462532   precision 0.5473107685293871   recall 0.5715209836231958
deviation 5/5   iterations 1540/2000   F1 0.5627178404143046   accuracy 0.6782945736434108   precision 0.5575422805438439   recall 0.5799510710193309
deviation 5/5   iterations 1550/2000   F1 0.5600352012320968   accuracy 0.6782945736434108   precision 0.5539075732332416   recall 0.5731018991399921
deviation 5/5   iterations 1560/2000   F1 0.5674888004396555   accuracy 0.6782945736434108   precision 0.560387737054807   recall 0.5854103883205978
deviation 5/5   iterations 1570/2000   F1 0.5688320686414308   accuracy 0.6770025839793282   precision 0.5613320543658123   recall 0.5883116779839836
deviation 5/5   iterations 1580/2000   F1 0.565297619047619   accuracy 0.6808785529715762   precision 0.5587606837606839   recall 0.5754882957651205
deviation 5/5   iterations 1590/2000   F1 0.5675279388270966   accuracy 0.6705426356589147   precision 0.5610335631461797   recall 0.5908312146925657
deviation 5/5   iterations 1600/2000   F1 0.563101345536608   accuracy 0.6731266149870802   precision 0.5568664008451418   recall 0.5827741490819688
deviation 5/5   iterations 1610/2000   F1 0.5656102003642988   accuracy 0.6808785529715762   precision 0.5585622460280744   recall 0.5790147043548203
deviation 5/5   iterations 1620/2000   F1 0.5696369980894636   accuracy 0.6834625322997416   precision 0.5627667575858419   recall 0.5829267190913944
deviation 5/5   iterations 1630/2000   F1 0.5641638771442842   accuracy 0.6782945736434108   precision 0.5571455366994612   recall 0.5793579663803253
deviation 5/5   iterations 1640/2000   F1 0.5646158349048628   accuracy 0.6821705426356589   precision 0.5595708880379106   recall 0.5794361779810733
deviation 5/5   iterations 1650/2000   F1 0.5650541796086962   accuracy 0.6757105943152455   precision 0.5577437013085653   recall 0.5807016236449574
deviation 5/5   iterations 1660/2000   F1 0.5651110255535235   accuracy 0.6770025839793282   precision 0.5583370432592241   recall 0.5820556107436505
deviation 5/5   iterations 1670/2000   F1 0.568871897988935   accuracy 0.6834625322997416   precision 0.5619895518097053   recall 0.5820620873856411
deviation 5/5   iterations 1680/2000   F1 0.568871897988935   accuracy 0.6834625322997416   precision 0.5619895518097053   recall 0.5820620873856411
deviation 5/5   iterations 1690/2000   F1 0.565335553689431   accuracy 0.6731266149870802   precision 0.5582914268069433   recall 0.5853001624325415
deviation 5/5   iterations 1700/2000   F1 0.5662828661431208   accuracy 0.6834625322997416   precision 0.5601529808676627   recall 0.576806415384435
deviation 5/5   iterations 1710/2000   F1 0.5644721878534708   accuracy 0.6770025839793282   precision 0.5575001661508359   recall 0.5813267425712711
deviation 5/5   iterations 1720/2000   F1 0.5574661342103203   accuracy 0.6744186046511628   precision 0.5516595249698995   recall 0.5727521604724964
deviation 5/5   iterations 1730/2000   F1 0.5647989590179153   accuracy 0.6821705426356589   precision 0.5585267025245405   recall 0.5761134146914343
deviation 5/5   iterations 1740/2000   F1 0.5592361050638   accuracy 0.6679586563307494   precision 0.5532618865857932   recall 0.5798663827765922
deviation 5/5   iterations 1750/2000   F1 0.5640695644154353   accuracy 0.6808785529715762   precision 0.5577568795838168   recall 0.5754204139984336
deviation 5/5   iterations 1760/2000   F1 0.5650709801278944   accuracy 0.6834625322997416   precision 0.5590858416945373   recall 0.5767385336177481
deviation 5/5   iterations 1770/2000   F1 0.5574410051055226   accuracy 0.661498708010336   precision 0.5525689792291081   recall 0.5817249330794817
deviation 5/5   iterations 1780/2000   F1 0.5625497776616392   accuracy 0.6873385012919897   precision 0.5586544654684215   recall 0.5691708234000911
deviation 5/5   iterations 1790/2000   F1 0.5536224607656394   accuracy 0.6666666666666666   precision 0.5485185264246321   recall 0.5721205649041919
deviation 5/5   iterations 1800/2000   F1 0.5683002183002183   accuracy 0.6782945736434108   precision 0.5613337729423101   recall 0.5864786653264117
deviation 5/5   iterations 1810/2000   F1 0.5647457031511388   accuracy 0.6821705426356589   precision 0.5583313121513461   recall 0.5761134146914343
deviation 5/5   iterations 1820/2000   F1 0.5592096249151254   accuracy 0.6718346253229974   precision 0.5529242137514644   recall 0.5766897128543881
deviation 5/5   iterations 1830/2000   F1 0.5687003548792597   accuracy 0.6873385012919897   precision 0.5641146462532737   recall 0.5796142856358165
deviation 5/5   iterations 1840/2000   F1 0.5629665729223251   accuracy 0.6782945736434108   precision 0.5565251828350001   recall 0.5766283077296919
deviation 5/5   iterations 1850/2000   F1 0.5612851853175375   accuracy 0.6770025839793282   precision 0.5549695041103155   recall 0.5759353070366912
deviation 5/5   iterations 1860/2000   F1 0.5637407459951679   accuracy 0.6744186046511628   precision 0.5567355185913263   recall 0.5816021228300893
deviation 5/5   iterations 1870/2000   F1 0.5590502163419582   accuracy 0.6744186046511628   precision 0.5526337334847974   recall 0.5728200422391834
deviation 5/5   iterations 1880/2000   F1 0.5642798878327026   accuracy 0.6821705426356589   precision 0.5607204625544505   recall 0.57763903280288
deviation 5/5   iterations 1890/2000   F1 0.5554772382703315   accuracy 0.6718346253229974   precision 0.5491111538955205   recall 0.5697047774416756
deviation 5/5   iterations 1900/2000   F1 0.5616588800207644   accuracy 0.6770025839793282   precision 0.555240312771414   recall 0.575070675330938
deviation 5/5   iterations 1910/2000   F1 0.556783252883356   accuracy 0.6679586563307494   precision 0.5504573580844767   recall 0.5747464743087599
deviation 5/5   iterations 1920/2000   F1 0.5705876307050136   accuracy 0.6886304909560723   precision 0.567165303250209   recall 0.5803072863288171
deviation 5/5   iterations 1930/2000   F1 0.557314831425637   accuracy 0.6731266149870802   precision 0.550651100896199   recall 0.5704656599013632
deviation 5/5   iterations 1940/2000   F1 0.5622346077816082   accuracy 0.6808785529715762   precision 0.5581285460039894   recall 0.576081400404126
deviation 5/5   iterations 1950/2000   F1 0.56588455952269   accuracy 0.6808785529715762   precision 0.559290925321677   recall 0.5799472178272604
deviation 5/5   iterations 1960/2000   F1 0.5676888100985643   accuracy 0.689922480620155   precision 0.5648884959229786   recall 0.5757446150206117
deviation 5/5   iterations 1970/2000   F1 0.5574848528943467   accuracy 0.6692506459948321   precision 0.5518491082473216   recall 0.5761683431741399
deviation 5/5   iterations 1980/2000   F1 0.5572690494328043   accuracy 0.6795865633074936   precision 0.5518636607622115   recall 0.5676745961260335
deviation 5/5   iterations 1990/2000   F1 0.5576184930949084   accuracy 0.6718346253229974   precision 0.551079351866366   recall 0.5732311860313754
deviation 5/5   iterations 2000/2000   F1 0.5546543592207668   accuracy 0.6718346253229974   precision 0.5512000205570974   recall 0.5712303955531213

0.5455371496177845
