deviation 1/5   iterations 10/2000   F1 0.4317024245595675   accuracy 0.6288659793814433   precision 0.4436230894111383   recall 0.43155733783490513
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deviation 1/5   iterations 20/2000   F1 0.35858029436143557   accuracy 0.5811855670103093   precision 0.44081142189869876   recall 0.3988620257643328
deviation 1/5   iterations 30/2000   F1 0.4648059422723332   accuracy 0.6469072164948454   precision 0.49580337302978306   recall 0.46010746607025726
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deviation 1/5   iterations 40/2000   F1 0.4817928248756365   accuracy 0.6288659793814433   precision 0.5262113617376776   recall 0.48837307020961873
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deviation 1/5   iterations 50/2000   F1 0.45481080481127445   accuracy 0.5773195876288659   precision 0.5272147864279012   recall 0.47243055971199066
deviation 1/5   iterations 60/2000   F1 0.49094007593469285   accuracy 0.6185567010309279   precision 0.5173208534621578   recall 0.4964892136947783
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deviation 1/5   iterations 70/2000   F1 0.509119420148278   accuracy 0.6507731958762887   precision 0.5231557060825354   recall 0.5080700528617106
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deviation 1/5   iterations 80/2000   F1 0.5032789771955255   accuracy 0.6520618556701031   precision 0.5208726705053601   recall 0.5019835661683424
deviation 1/5   iterations 90/2000   F1 0.5055045605719561   accuracy 0.6365979381443299   precision 0.5320162587442625   recall 0.5096063934046434
deviation 1/5   iterations 100/2000   F1 0.5135695996067012   accuracy 0.634020618556701   precision 0.5398384706895345   recall 0.5194805358727149
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deviation 1/5   iterations 110/2000   F1 0.49848606427756903   accuracy 0.5837628865979382   precision 0.5219892315923825   recall 0.5235198171358586
deviation 1/5   iterations 120/2000   F1 0.4908034633278471   accuracy 0.5708762886597938   precision 0.5317044999818109   recall 0.5110551536198037
deviation 1/5   iterations 130/2000   F1 0.5019088549435694   accuracy 0.615979381443299   precision 0.5206962436889444   recall 0.5115163041508841
deviation 1/5   iterations 140/2000   F1 0.515580035678477   accuracy 0.6494845360824743   precision 0.5213837578688899   recall 0.5194945829266813
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deviation 1/5   iterations 150/2000   F1 0.5017967550375367   accuracy 0.6030927835051546   precision 0.518389790789222   recall 0.5166242201340293
deviation 1/5   iterations 160/2000   F1 0.47723018228062736   accuracy 0.5618556701030928   precision 0.5277611767932672   recall 0.49333184312413
deviation 1/5   iterations 170/2000   F1 0.49494185645117234   accuracy 0.6018041237113402   precision 0.527920450974575   recall 0.5085734259868869
deviation 1/5   iterations 180/2000   F1 0.5037555037555038   accuracy 0.6262886597938144   precision 0.5136108042378167   recall 0.5116182165453123
deviation 1/5   iterations 190/2000   F1 0.5158825697010498   accuracy 0.6507731958762887   precision 0.5330574502759934   recall 0.5196975119613718
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deviation 1/5   iterations 200/2000   F1 0.5148522912943437   accuracy 0.645618556701031   precision 0.5165028384167948   recall 0.5225728421180352
deviation 1/5   iterations 210/2000   F1 0.4767198492894   accuracy 0.5747422680412371   precision 0.5162404869587458   recall 0.49242550277256275
deviation 1/5   iterations 220/2000   F1 0.4580647225687839   accuracy 0.5515463917525774   precision 0.5114921826684171   recall 0.4793961884031594
deviation 1/5   iterations 230/2000   F1 0.48146053070360456   accuracy 0.5837628865979382   precision 0.5237022023269734   recall 0.49821781565460693
deviation 1/5   iterations 240/2000   F1 0.5291148470049175   accuracy 0.6597938144329897   precision 0.5277060221497881   recall 0.5380945517381499
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deviation 1/5   iterations 250/2000   F1 0.5134205589703974   accuracy 0.6559278350515464   precision 0.5236402628634048   recall 0.515315523297548
deviation 1/5   iterations 260/2000   F1 0.48761429540467827   accuracy 0.5695876288659794   precision 0.526657177850464   recall 0.5149353570862908
deviation 1/5   iterations 270/2000   F1 0.47705030245410834   accuracy 0.5914948453608248   precision 0.5055142330153414   recall 0.48368404144735955
deviation 1/5   iterations 280/2000   F1 0.49486353229069496   accuracy 0.6095360824742269   precision 0.520224227715205   recall 0.5065259355439732
deviation 1/5   iterations 290/2000   F1 0.5259154486679052   accuracy 0.663659793814433   precision 0.5298148148148147   recall 0.5307221692234341
deviation 1/5   iterations 300/2000   F1 0.5009611366674771   accuracy 0.6146907216494846   precision 0.5292780461621042   recall 0.5146302306444829
deviation 1/5   iterations 310/2000   F1 0.5059299711255963   accuracy 0.6082474226804123   precision 0.5196548290810585   recall 0.5254947922074273
deviation 1/5   iterations 320/2000   F1 0.5200886988528651   accuracy 0.6365979381443299   precision 0.5241036100306476   recall 0.5351860379612472
deviation 1/5   iterations 330/2000   F1 0.5133297868885264   accuracy 0.6069587628865979   precision 0.5374051474406017   recall 0.539192257752447
deviation 1/5   iterations 340/2000   F1 0.5074921256160652   accuracy 0.6262886597938144   precision 0.5199132524838356   recall 0.5158197921768902
deviation 1/5   iterations 350/2000   F1 0.4927933465145015   accuracy 0.5914948453608248   precision 0.5116698241376546   recall 0.5122103507651166
deviation 1/5   iterations 360/2000   F1 0.49855109208788356   accuracy 0.6095360824742269   precision 0.5088242824360037   recall 0.5130263420942162
deviation 1/5   iterations 370/2000   F1 0.502118810717008   accuracy 0.6005154639175257   precision 0.5174329004329005   recall 0.5247807132727559
deviation 1/5   iterations 380/2000   F1 0.4908721857938782   accuracy 0.5824742268041238   precision 0.5201141114742124   recall 0.5120337243300268
deviation 1/5   iterations 390/2000   F1 0.5262449161884568   accuracy 0.6520618556701031   precision 0.5253067963911336   recall 0.5390055744410392
deviation 1/5   iterations 400/2000   F1 0.5217706266135648   accuracy 0.6262886597938144   precision 0.5381545990679516   recall 0.5415586366784458
deviation 1/5   iterations 410/2000   F1 0.4989567166237007   accuracy 0.5966494845360825   precision 0.5177620447745795   recall 0.5203146458656263
deviation 1/5   iterations 420/2000   F1 0.5193593650558338   accuracy 0.6430412371134021   precision 0.5195935164189133   recall 0.5326320799696745
deviation 1/5   iterations 430/2000   F1 0.5224289632771167   accuracy 0.6469072164948454   precision 0.5249074128542673   recall 0.5330816671287945
deviation 1/5   iterations 440/2000   F1 0.4858347662288169   accuracy 0.5747422680412371   precision 0.5186687672966002   recall 0.5097870914495787
deviation 1/5   iterations 450/2000   F1 0.5173993270348146   accuracy 0.634020618556701   precision 0.5191485238983978   recall 0.5362868383990267
deviation 1/5   iterations 460/2000   F1 0.49588465196763815   accuracy 0.5940721649484536   precision 0.5169199596712862   recall 0.5164475936989396
deviation 1/5   iterations 470/2000   F1 0.5148868867601893   accuracy 0.6224226804123711   precision 0.5284608412457242   recall 0.5323357074890341
deviation 1/5   iterations 480/2000   F1 0.5191190425141775   accuracy 0.6430412371134021   precision 0.5208869644179536   recall 0.5349309108883398
deviation 1/5   iterations 490/2000   F1 0.515004488223822   accuracy 0.6224226804123711   precision 0.5210765592845868   recall 0.5354933630723716
deviation 1/5   iterations 500/2000   F1 0.5069170152603482   accuracy 0.6185567010309279   precision 0.515412046579772   recall 0.522161405943166
deviation 1/5   iterations 510/2000   F1 0.5172496728842618   accuracy 0.6739690721649485   precision 0.5138871726357168   recall 0.5251158474791239
deviation 1/5   iterations 520/2000   F1 0.5202802155044102   accuracy 0.634020618556701   precision 0.526744666812112   recall 0.5374233061390511
deviation 1/5   iterations 530/2000   F1 0.5035483681450142   accuracy 0.6108247422680413   precision 0.5168962359479601   recall 0.5208661454191743
deviation 1/5   iterations 540/2000   F1 0.4978067927102954   accuracy 0.604381443298969   precision 0.5078709045218188   recall 0.5237236419247151
deviation 1/5   iterations 550/2000   F1 0.4829866295138901   accuracy 0.5786082474226805   precision 0.5034082058598188   recall 0.5015817797088066
deviation 1/5   iterations 560/2000   F1 0.5270061266515739   accuracy 0.6481958762886598   precision 0.5266062810260255   recall 0.5431277536806335
deviation 1/5   iterations 570/2000   F1 0.5068658679262198   accuracy 0.6185567010309279   precision 0.5217421546331499   recall 0.5188186549762605
deviation 1/5   iterations 580/2000   F1 0.5125845713405526   accuracy 0.6378865979381443   precision 0.5165946906417305   recall 0.5228101355398201
deviation 1/5   iterations 590/2000   F1 0.5146272529489666   accuracy 0.6378865979381443   precision 0.5205923852059239   recall 0.524712880252733
deviation 1/5   iterations 600/2000   F1 0.5072441431974738   accuracy 0.6198453608247423   precision 0.5184654214591882   recall 0.5212278672378321
deviation 1/5   iterations 610/2000   F1 0.4939162422184493   accuracy 0.5708762886597938   precision 0.5234673047986802   recall 0.5285092899886036
deviation 1/5   iterations 620/2000   F1 0.49256521993337116   accuracy 0.5927835051546392   precision 0.5180377611143733   recall 0.5051724917152919
deviation 1/5   iterations 630/2000   F1 0.4979742069468105   accuracy 0.6172680412371134   precision 0.5049251187625263   recall 0.5157616088722007
deviation 1/5   iterations 640/2000   F1 0.4872913254651173   accuracy 0.5850515463917526   precision 0.5082150290981692   recall 0.5042733173970524
deviation 1/5   iterations 650/2000   F1 0.509098784904832   accuracy 0.6314432989690721   precision 0.5140981463646824   recall 0.5211625178998148
deviation 1/5   iterations 660/2000   F1 0.48866372255633994   accuracy 0.5786082474226805   precision 0.5116086652291973   recall 0.5105402171226666
deviation 1/5   iterations 670/2000   F1 0.5232168703779515   accuracy 0.645618556701031   precision 0.5231137909709338   recall 0.5389830584385947
deviation 1/5   iterations 680/2000   F1 0.5030711442925183   accuracy 0.6095360824742269   precision 0.5206678193105992   recall 0.5156953637800175
deviation 1/5   iterations 690/2000   F1 0.5126377728734899   accuracy 0.6172680412371134   precision 0.5204296616722514   recall 0.534444760672809
deviation 1/5   iterations 700/2000   F1 0.5051830197019607   accuracy 0.6172680412371134   precision 0.5193526838148931   recall 0.5171757196875771
deviation 1/5   iterations 710/2000   F1 0.5221011260649783   accuracy 0.6378865979381443   precision 0.526918016236538   recall 0.5379654409899549
deviation 1/5   iterations 720/2000   F1 0.48758398344364373   accuracy 0.5927835051546392   precision 0.501221772834513   recall 0.5041285716670515
deviation 1/5   iterations 730/2000   F1 0.5204710015561668   accuracy 0.645618556701031   precision 0.5215811773790385   recall 0.5339226581423443
deviation 1/5   iterations 740/2000   F1 0.5127306614725898   accuracy 0.663659793814433   precision 0.5112252446543638   recall 0.5255951166740159
deviation 1/5   iterations 750/2000   F1 0.49700728099217056   accuracy 0.6056701030927835   precision 0.5185514415435297   recall 0.5113218440646717
deviation 1/5   iterations 760/2000   F1 0.4701254931716754   accuracy 0.595360824742268   precision 0.48213068423892974   recall 0.4898011059306662
deviation 1/5   iterations 770/2000   F1 0.5171555592678936   accuracy 0.6533505154639175   precision 0.5178376298610446   recall 0.5365653772285447
deviation 1/5   iterations 780/2000   F1 0.47517743967684134   accuracy 0.5515463917525774   precision 0.5158341310767547   recall 0.5016330819928575
deviation 1/5   iterations 790/2000   F1 0.524915401500338   accuracy 0.6481958762886598   precision 0.5264443572215135   recall 0.5396924550219439
deviation 1/5   iterations 800/2000   F1 0.5373294014032409   accuracy 0.6752577319587629   precision 0.5348897471446491   recall 0.5511760641457703
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deviation 1/5   iterations 810/2000   F1 0.4990600696698147   accuracy 0.6108247422680413   precision 0.5142730926149919   recall 0.5120928033888823
deviation 1/5   iterations 820/2000   F1 0.520418050396915   accuracy 0.6713917525773195   precision 0.5193607947157642   recall 0.5248691893546946
deviation 1/5   iterations 830/2000   F1 0.4997239691958348   accuracy 0.625   precision 0.5077808526940489   recall 0.5103713674623814
deviation 1/5   iterations 840/2000   F1 0.49776166840836583   accuracy 0.6262886597938144   precision 0.5025480076837378   recall 0.5119217550592806
deviation 1/5   iterations 850/2000   F1 0.4929201373454702   accuracy 0.5992268041237113   precision 0.525135319439117   recall 0.5090004971435621
deviation 1/5   iterations 860/2000   F1 0.5198336593484992   accuracy 0.6572164948453608   precision 0.5196801310636573   recall 0.5319545640914142
deviation 1/5   iterations 870/2000   F1 0.4997834263421003   accuracy 0.6275773195876289   precision 0.5041800390044763   recall 0.5160486166501971
deviation 1/5   iterations 880/2000   F1 0.4863733582240801   accuracy 0.5889175257731959   precision 0.5083624197863609   recall 0.5003362335410261
deviation 1/5   iterations 890/2000   F1 0.517404869497745   accuracy 0.6675257731958762   precision 0.5144283376796032   recall 0.5277623531624804
deviation 1/5   iterations 900/2000   F1 0.48521085283115567   accuracy 0.595360824742268   precision 0.5022427632878058   recall 0.4974120847823175
deviation 1/5   iterations 910/2000   F1 0.5025314855326777   accuracy 0.6288659793814433   precision 0.5049105871972642   recall 0.5176915519388803
deviation 1/5   iterations 920/2000   F1 0.48037028357159595   accuracy 0.6082474226804123   precision 0.48844566813693396   recall 0.49346653197781293
deviation 1/5   iterations 930/2000   F1 0.5016186109632031   accuracy 0.6198453608247423   precision 0.512920077552779   recall 0.5134984452557806
deviation 1/5   iterations 940/2000   F1 0.4694430455027041   accuracy 0.5567010309278351   precision 0.5064454064454065   recall 0.4904730437034386
deviation 1/5   iterations 950/2000   F1 0.5096586415261476   accuracy 0.6443298969072165   precision 0.5112847222222222   recall 0.5258052117420342
deviation 1/5   iterations 960/2000   F1 0.5205582638041444   accuracy 0.6649484536082474   precision 0.5198935257833006   recall 0.5342011969718623
deviation 1/5   iterations 970/2000   F1 0.5182287996241484   accuracy 0.6701030927835051   precision 0.5157897932394427   recall 0.5282866543622617
deviation 1/5   iterations 980/2000   F1 0.5192673187976867   accuracy 0.6572164948453608   precision 0.5267117010547043   recall 0.5228776835471539
deviation 1/5   iterations 990/2000   F1 0.5081633980112595   accuracy 0.6391752577319587   precision 0.5117869438737142   recall 0.518929932073333
deviation 1/5   iterations 1000/2000   F1 0.46794409354052685   accuracy 0.5811855670103093   precision 0.4819599237780737   recall 0.4876245047395574
deviation 1/5   iterations 1010/2000   F1 0.4937879484456942   accuracy 0.6275773195876289   precision 0.49859035792963907   recall 0.5038399759612154
deviation 1/5   iterations 1020/2000   F1 0.49140345708687194   accuracy 0.6224226804123711   precision 0.49929769461943135   recall 0.49705724398429824
deviation 1/5   iterations 1030/2000   F1 0.4860660965728402   accuracy 0.6108247422680413   precision 0.4950775449976175   recall 0.5034379044889906
deviation 1/5   iterations 1040/2000   F1 0.5037252639620688   accuracy 0.6494845360824743   precision 0.5033719475565314   recall 0.5154114504255035
deviation 1/5   iterations 1050/2000   F1 0.499012812756704   accuracy 0.6365979381443299   precision 0.5003781980681833   recall 0.5086809164868034
deviation 1/5   iterations 1060/2000   F1 0.4898831575077825   accuracy 0.615979381443299   precision 0.5000257293552774   recall 0.4962684510089653
deviation 1/5   iterations 1070/2000   F1 0.4952868346341925   accuracy 0.5927835051546392   precision 0.5204807504397108   recall 0.5111842643679986
deviation 1/5   iterations 1080/2000   F1 0.48787291906838687   accuracy 0.6275773195876289   precision 0.48911508130043896   recall 0.4977356556167247
deviation 1/5   iterations 1090/2000   F1 0.4973751935995203   accuracy 0.6262886597938144   precision 0.5017216232592441   recall 0.504377428460797
deviation 1/5   iterations 1100/2000   F1 0.5066603005066502   accuracy 0.634020618556701   precision 0.5109890107029087   recall 0.5204578036677876
deviation 1/5   iterations 1110/2000   F1 0.4972458238025679   accuracy 0.6211340206185567   precision 0.501474542458149   recall 0.5118245250161745
deviation 1/5   iterations 1120/2000   F1 0.48670387430599993   accuracy 0.6082474226804123   precision 0.49849729790906266   recall 0.4953692766907258
deviation 1/5   iterations 1130/2000   F1 0.5068833036756183   accuracy 0.6288659793814433   precision 0.5082542127706285   recall 0.5230295953104827
deviation 1/5   iterations 1140/2000   F1 0.5100054757478792   accuracy 0.6443298969072165   precision 0.5143785616943335   recall 0.5181683374517667
deviation 1/5   iterations 1150/2000   F1 0.5196181879820323   accuracy 0.6597938144329897   precision 0.5170927961329593   recall 0.5274184649949452
deviation 1/5   iterations 1160/2000   F1 0.5367134405764634   accuracy 0.6726804123711341   precision 0.5352777071503235   recall 0.5449176333686342
deviation 1/5   iterations 1170/2000   F1 0.5001808572417031   accuracy 0.6713917525773195   precision 0.49859165436514014   recall 0.5028432865871807
deviation 1/5   iterations 1180/2000   F1 0.5049748093171769   accuracy 0.615979381443299   precision 0.5211974261264302   recall 0.5164841567553503
deviation 1/5   iterations 1190/2000   F1 0.48417148078393346   accuracy 0.6314432989690721   precision 0.48854058731204636   recall 0.492662104020674
deviation 1/5   iterations 1200/2000   F1 0.5205621258330687   accuracy 0.6559278350515464   precision 0.5187945868002374   recall 0.5330731981803162
deviation 1/5   iterations 1210/2000   F1 0.482430432038006   accuracy 0.615979381443299   precision 0.48684700842327633   recall 0.4915115892266832
deviation 1/5   iterations 1220/2000   F1 0.5138959625000815   accuracy 0.6520618556701031   precision 0.5119804427152632   recall 0.5240353643744724
deviation 1/5   iterations 1230/2000   F1 0.5108556325590864   accuracy 0.6701030927835051   precision 0.5078138804885407   recall 0.5186544876672974
deviation 1/5   iterations 1240/2000   F1 0.5155391743333493   accuracy 0.654639175257732   precision 0.5157364594388839   recall 0.522934563936693
deviation 1/5   iterations 1250/2000   F1 0.4889734556800828   accuracy 0.5966494845360825   precision 0.5173305387111896   recall 0.49770756150879203
deviation 1/5   iterations 1260/2000   F1 0.49407241565851984   accuracy 0.6314432989690721   precision 0.49658141066674083   recall 0.501620541434534
deviation 1/5   iterations 1270/2000   F1 0.49813968322627433   accuracy 0.6378865979381443   precision 0.5004000048744643   recall 0.5109975810565909
deviation 1/5   iterations 1280/2000   F1 0.5028620616700424   accuracy 0.6391752577319587   precision 0.504815161928564   recall 0.5177934643333085
deviation 1/5   iterations 1290/2000   F1 0.4912889355304097   accuracy 0.6559278350515464   precision 0.48965253131919795   recall 0.5072418059869765
deviation 1/5   iterations 1300/2000   F1 0.5224918486031375   accuracy 0.7023195876288659   precision 0.5228227960652634   recall 0.5313717945742541
deviation 1/5   iterations 1310/2000   F1 0.5011216276597193   accuracy 0.6713917525773195   precision 0.5029175671503551   recall 0.49959308331205915
deviation 1/5   iterations 1320/2000   F1 0.507168600618405   accuracy 0.6688144329896907   precision 0.5048563531259154   recall 0.5119511520823637
deviation 1/5   iterations 1330/2000   F1 0.4965470109952264   accuracy 0.6469072164948454   precision 0.4960452895606479   recall 0.5112667551834648
deviation 1/5   iterations 1340/2000   F1 0.47178871992976407   accuracy 0.6185567010309279   precision 0.4759637365939047   recall 0.49157315196754436
deviation 1/5   iterations 1350/2000   F1 0.49809880580291294   accuracy 0.6404639175257731   precision 0.4984974792909302   recall 0.5105705098999157
deviation 1/5   iterations 1360/2000   F1 0.5048937498924996   accuracy 0.634020618556701   precision 0.5098538149878543   recall 0.5121472000964157
deviation 1/5   iterations 1370/2000   F1 0.5016188484724332   accuracy 0.6533505154639175   precision 0.5006276681825809   recall 0.506413966273227
deviation 1/5   iterations 1380/2000   F1 0.4957145193607187   accuracy 0.654639175257732   precision 0.5002878736149478   recall 0.4942231592353679
deviation 1/5   iterations 1390/2000   F1 0.49825064178207806   accuracy 0.6559278350515464   precision 0.4959024119122641   recall 0.5033178734307506
deviation 1/5   iterations 1400/2000   F1 0.48702194829464784   accuracy 0.6275773195876289   precision 0.4888504352790067   recall 0.49936075725428547
deviation 1/5   iterations 1410/2000   F1 0.4905572806529624   accuracy 0.6378865979381443   precision 0.49331575073952844   recall 0.49467991242781545
deviation 1/5   iterations 1420/2000   F1 0.4883814109789056   accuracy 0.6404639175257731   precision 0.4891806570942065   recall 0.5017971678696238
deviation 1/5   iterations 1430/2000   F1 0.4899871118307669   accuracy 0.6430412371134021   precision 0.4882352941176471   recall 0.4981198934378271
deviation 1/5   iterations 1440/2000   F1 0.48566878132025443   accuracy 0.654639175257732   precision 0.4818777663479959   recall 0.49624434707868104
deviation 1/5   iterations 1450/2000   F1 0.49581735291676465   accuracy 0.6275773195876289   precision 0.4988135606342128   recall 0.5033513420636792
deviation 1/5   iterations 1460/2000   F1 0.4840208275317172   accuracy 0.595360824742268   precision 0.4943710921040895   recall 0.4996850202623664
deviation 1/5   iterations 1470/2000   F1 0.4932248958494232   accuracy 0.6597938144329897   precision 0.4911167418383038   recall 0.5051149191520791
deviation 1/5   iterations 1480/2000   F1 0.49612592612548473   accuracy 0.6701030927835051   precision 0.49235191362713904   recall 0.5079784009240925
deviation 1/5   iterations 1490/2000   F1 0.49479302832244015   accuracy 0.6713917525773195   precision 0.4921686145240236   recall 0.4984566155720347
deviation 1/5   iterations 1500/2000   F1 0.4793008342164615   accuracy 0.6275773195876289   precision 0.481420700580294   recall 0.4838093655983984
deviation 1/5   iterations 1510/2000   F1 0.48468828521733953   accuracy 0.6533505154639175   precision 0.4876691607026675   recall 0.4828555095599363
deviation 1/5   iterations 1520/2000   F1 0.4914362310895619   accuracy 0.6365979381443299   precision 0.49358437919026077   recall 0.4974236481542782
deviation 1/5   iterations 1530/2000   F1 0.5212900636169129   accuracy 0.6559278350515464   precision 0.524963421526285   recall 0.5281978932676338
deviation 1/5   iterations 1540/2000   F1 0.5196313571408484   accuracy 0.6649484536082474   precision 0.5195783383283383   recall 0.5241729440711457
deviation 1/5   iterations 1550/2000   F1 0.5158075852539635   accuracy 0.6778350515463918   precision 0.5125598465951389   recall 0.5219450405959859
deviation 1/5   iterations 1560/2000   F1 0.49694295513493913   accuracy 0.6469072164948454   precision 0.49491406677613575   recall 0.5029561516120928
deviation 1/5   iterations 1570/2000   F1 0.48092718356473324   accuracy 0.6353092783505154   precision 0.4811614902148708   recall 0.4911163987750969
deviation 1/5   iterations 1580/2000   F1 0.5036752844194979   accuracy 0.634020618556701   precision 0.5065854201749403   recall 0.5136797540421925
deviation 1/5   iterations 1590/2000   F1 0.4854615699834712   accuracy 0.6430412371134021   precision 0.4847881585159571   recall 0.4927818500662247
deviation 1/5   iterations 1600/2000   F1 0.5095501659494529   accuracy 0.6675257731958762   precision 0.5066555272199115   recall 0.5189890111321884
deviation 1/5   iterations 1610/2000   F1 0.5038151821895869   accuracy 0.6507731958762887   precision 0.50203681741829   recall 0.5102763360885917
deviation 1/5   iterations 1620/2000   F1 0.49009643144123016   accuracy 0.6288659793814433   precision 0.49350165598259704   recall 0.495084467582046
deviation 1/5   iterations 1630/2000   F1 0.5050466518829188   accuracy 0.6404639175257731   precision 0.5065503809835864   recall 0.5119846207152923
deviation 1/5   iterations 1640/2000   F1 0.5035682778233298   accuracy 0.6507731958762887   precision 0.5045736645736646   recall 0.5069335851216862
deviation 1/5   iterations 1650/2000   F1 0.49104239587197934   accuracy 0.6559278350515464   precision 0.49248607296896135   recall 0.4904355034606647
deviation 1/5   iterations 1660/2000   F1 0.5020860273097029   accuracy 0.6765463917525774   precision 0.5118617111057505   recall 0.4974840301282842
deviation 1/5   iterations 1670/2000   F1 0.5064426684418025   accuracy 0.663659793814433   precision 0.5083945783822149   recall 0.5068860694347913
deviation 1/5   iterations 1680/2000   F1 0.48151407347237574   accuracy 0.6237113402061856   precision 0.48307581070417255   recall 0.48869782181088106
deviation 1/5   iterations 1690/2000   F1 0.4752234598328578   accuracy 0.5966494845360825   precision 0.4837586791012825   recall 0.48494363466910634
deviation 1/5   iterations 1700/2000   F1 0.48132568882853183   accuracy 0.6172680412371134   precision 0.497049643967825   recall 0.481501169977089
deviation 1/5   iterations 1710/2000   F1 0.5007197384257128   accuracy 0.6765463917525774   precision 0.5060962689663348   recall 0.49729893474471615
deviation 1/5   iterations 1720/2000   F1 0.4992044145398778   accuracy 0.6559278350515464   precision 0.4977992172367871   recall 0.501785319484974
deviation 1/5   iterations 1730/2000   F1 0.4948290926139028   accuracy 0.625   precision 0.49694665316894104   recall 0.505218419474347
deviation 1/5   iterations 1740/2000   F1 0.4768944259926224   accuracy 0.6069587628865979   precision 0.4827289119899145   recall 0.4892471226951125
deviation 1/5   iterations 1750/2000   F1 0.5029190569348453   accuracy 0.645618556701031   precision 0.504300490864022   recall 0.5092277336890292
deviation 1/5   iterations 1760/2000   F1 0.48950744807759144   accuracy 0.654639175257732   precision 0.4885631060518953   recall 0.49060276519311036
deviation 1/5   iterations 1770/2000   F1 0.48162640853156297   accuracy 0.6301546391752577   precision 0.4854487162687493   recall 0.4902528917591024
deviation 1/5   iterations 1780/2000   F1 0.4788630117095615   accuracy 0.6005154639175257   precision 0.48803508646637234   recall 0.49198617607025313
deviation 1/5   iterations 1790/2000   F1 0.4979259051258862   accuracy 0.634020618556701   precision 0.4978166329111507   recall 0.5049989597036845
deviation 1/5   iterations 1800/2000   F1 0.4925369785364028   accuracy 0.654639175257732   precision 0.490264041013248   recall 0.4973808148187054
deviation 1/5   iterations 1810/2000   F1 0.5053576712465125   accuracy 0.6765463917525774   precision 0.5059183005696443   recall 0.5049358090349837
deviation 1/5   iterations 1820/2000   F1 0.4792317267368967   accuracy 0.6481958762886598   precision 0.47918028924594225   recall 0.47932298085814057
deviation 1/5   iterations 1830/2000   F1 0.47963035869765863   accuracy 0.6018041237113402   precision 0.4900966777272541   recall 0.4872212525004774
deviation 1/5   iterations 1840/2000   F1 0.46360086922699945   accuracy 0.5644329896907216   precision 0.48817641545450474   recall 0.4787933865655605
deviation 1/5   iterations 1850/2000   F1 0.48990752345472116   accuracy 0.6275773195876289   precision 0.499758529213203   recall 0.49132779675826566
deviation 1/5   iterations 1860/2000   F1 0.4966393238911528   accuracy 0.6559278350515464   precision 0.4954929128842172   recall 0.49911629779917277
deviation 1/5   iterations 1870/2000   F1 0.4880618977621398   accuracy 0.6520618556701031   precision 0.4867245096615351   recall 0.4976227905918125
deviation 1/5   iterations 1880/2000   F1 0.48075319480671547   accuracy 0.615979381443299   precision 0.4875150553047984   recall 0.4839672626281997
deviation 1/5   iterations 1890/2000   F1 0.48709123026407947   accuracy 0.6365979381443299   precision 0.49081676894514975   recall 0.4896016784804426
deviation 1/5   iterations 1900/2000   F1 0.5022044533288911   accuracy 0.6610824742268041   precision 0.5060238056171157   recall 0.5013939156305437
deviation 1/5   iterations 1910/2000   F1 0.48756890479179776   accuracy 0.6378865979381443   precision 0.48722021054499026   recall 0.4921034384337983
deviation 1/5   iterations 1920/2000   F1 0.4615964388644587   accuracy 0.6069587628865979   precision 0.4682528895294853   recall 0.48019613758946855
deviation 1/5   iterations 1930/2000   F1 0.47472436568562815   accuracy 0.625   precision 0.4819458172566809   recall 0.4967486159580233
deviation 1/5   iterations 1940/2000   F1 0.49467786586133133   accuracy 0.6494845360824743   precision 0.4952032656159436   recall 0.5125573333561344
deviation 1/5   iterations 1950/2000   F1 0.47658681215524473   accuracy 0.6417525773195877   precision 0.47464175722469565   recall 0.4893287177564127
deviation 1/5   iterations 1960/2000   F1 0.48301111723991846   accuracy 0.6365979381443299   precision 0.48244935484496815   recall 0.4928518817555642
deviation 1/5   iterations 1970/2000   F1 0.47473112404265594   accuracy 0.625   precision 0.47563904466451895   recall 0.4865352676737386
deviation 1/5   iterations 1980/2000   F1 0.4956151161364299   accuracy 0.6327319587628866   precision 0.49726190898461003   recall 0.5116666279863731
deviation 1/5   iterations 1990/2000   F1 0.4567753777275448   accuracy 0.5966494845360825   precision 0.46367459931289723   recall 0.4678855845060587
deviation 1/5   iterations 2000/2000   F1 0.48935647887984685   accuracy 0.6301546391752577   precision 0.4912891445139976   recall 0.4957760305142728

deviation 2/5   iterations 10/2000   F1 0.3944469925976368   accuracy 0.4180645161290323   precision 0.49320839912462944   recall 0.4573650184184979
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deviation 2/5   iterations 20/2000   F1 0.47224152093774446   accuracy 0.6477419354838709   precision 0.4715576005453306   recall 0.4731896440148513
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deviation 2/5   iterations 30/2000   F1 0.48738532494957454   accuracy 0.607741935483871   precision 0.5052870066549957   recall 0.49161427789065204
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deviation 2/5   iterations 40/2000   F1 0.4935351276388274   accuracy 0.6283870967741936   precision 0.512727395275166   recall 0.49395502165664545
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deviation 2/5   iterations 50/2000   F1 0.506459668224374   accuracy 0.6180645161290322   precision 0.5224797201190805   recall 0.5173206530160505
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deviation 2/5   iterations 60/2000   F1 0.5258443969757662   accuracy 0.6490322580645161   precision 0.5411478647741178   recall 0.5339817318738599
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deviation 2/5   iterations 70/2000   F1 0.5098633629888306   accuracy 0.6296774193548387   precision 0.5164661004249489   recall 0.5199533045712531
deviation 2/5   iterations 80/2000   F1 0.5003944524120175   accuracy 0.5883870967741935   precision 0.5184541936262402   recall 0.5257282191219564
deviation 2/5   iterations 90/2000   F1 0.5013109387850482   accuracy 0.6090322580645161   precision 0.5098508127682467   recall 0.5233572046491224
deviation 2/5   iterations 100/2000   F1 0.5221899457130325   accuracy 0.6167741935483871   precision 0.5411931233150789   recall 0.5402036711331504
deviation 2/5   iterations 110/2000   F1 0.5195915523061014   accuracy 0.6258064516129033   precision 0.5234229350519136   recall 0.5403964219042762
deviation 2/5   iterations 120/2000   F1 0.5304550315726564   accuracy 0.6387096774193548   precision 0.5385038008184361   recall 0.5465731187287481
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deviation 2/5   iterations 130/2000   F1 0.5379377180730499   accuracy 0.6670967741935484   precision 0.5338379624053969   recall 0.5526818291819104
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deviation 2/5   iterations 140/2000   F1 0.5200889397115812   accuracy 0.632258064516129   precision 0.5456203232094573   recall 0.5275896221544921
deviation 2/5   iterations 150/2000   F1 0.5185851614696128   accuracy 0.6361290322580645   precision 0.5451001158908736   recall 0.5289253784533763
deviation 2/5   iterations 160/2000   F1 0.5323659327706509   accuracy 0.632258064516129   precision 0.549502972297652   recall 0.5493049273020341
deviation 2/5   iterations 170/2000   F1 0.5062660655049739   accuracy 0.5703225806451613   precision 0.5556671651924576   recall 0.5419251744124497
deviation 2/5   iterations 180/2000   F1 0.502656002277941   accuracy 0.5664516129032258   precision 0.549843133805398   recall 0.5380547781983497
deviation 2/5   iterations 190/2000   F1 0.5244451896026461   accuracy 0.6167741935483871   precision 0.5518321919799181   recall 0.5429290165014623
deviation 2/5   iterations 200/2000   F1 0.5524562640035586   accuracy 0.6593548387096774   precision 0.556075348799807   recall 0.5732909445262299
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deviation 2/5   iterations 210/2000   F1 0.5427553366174056   accuracy 0.6516129032258065   precision 0.5505430643752817   recall 0.5596148028010712
deviation 2/5   iterations 220/2000   F1 0.5336152628823022   accuracy 0.6374193548387097   precision 0.546127502906792   recall 0.5521347475153068
deviation 2/5   iterations 230/2000   F1 0.5277771765130207   accuracy 0.6283870967741936   precision 0.5479219011725293   recall 0.5438295291236107
deviation 2/5   iterations 240/2000   F1 0.517441787603078   accuracy 0.6038709677419355   precision 0.5450854763729377   recall 0.5422030104136141
deviation 2/5   iterations 250/2000   F1 0.5332250000599189   accuracy 0.6425806451612903   precision 0.5472055193551784   recall 0.5506977888803094
deviation 2/5   iterations 260/2000   F1 0.5424653602476456   accuracy 0.6464516129032258   precision 0.5574185437043919   recall 0.5632924482440455
deviation 2/5   iterations 270/2000   F1 0.5136284223933131   accuracy 0.6129032258064516   precision 0.527395081574717   recall 0.5370086389324814
deviation 2/5   iterations 280/2000   F1 0.5106479331831445   accuracy 0.6090322580645161   precision 0.522076332800158   recall 0.5383346595175439
deviation 2/5   iterations 290/2000   F1 0.5401622932705595   accuracy 0.6580645161290323   precision 0.5383954021029739   recall 0.5610226361073245
deviation 2/5   iterations 300/2000   F1 0.523435788497686   accuracy 0.6206451612903225   precision 0.5342604334177953   recall 0.5498822796754784
deviation 2/5   iterations 310/2000   F1 0.48931196101885255   accuracy 0.552258064516129   precision 0.545933261360756   recall 0.5227165292294763
deviation 2/5   iterations 320/2000   F1 0.49545622090406854   accuracy 0.5664516129032258   precision 0.5560994039227745   recall 0.524261235218282
deviation 2/5   iterations 330/2000   F1 0.5336844673885831   accuracy 0.6451612903225806   precision 0.5543943466605338   recall 0.5468209294612354
deviation 2/5   iterations 340/2000   F1 0.5494791334119308   accuracy 0.6593548387096774   precision 0.5575691514993847   recall 0.5674191637136365
deviation 2/5   iterations 350/2000   F1 0.5524251904120764   accuracy 0.6903225806451613   precision 0.5496657425211287   recall 0.5600606821315618
deviation 2/5   iterations 360/2000   F1 0.5380280761865961   accuracy 0.6567741935483871   precision 0.5357577694317402   recall 0.5602675046907324
deviation 2/5   iterations 370/2000   F1 0.5283086043003964   accuracy 0.6580645161290323   precision 0.5280550966825477   recall 0.5503119600871731
deviation 2/5   iterations 380/2000   F1 0.5190267822734763   accuracy 0.6296774193548387   precision 0.5254710851202079   recall 0.5373382623861597
deviation 2/5   iterations 390/2000   F1 0.5140025427030651   accuracy 0.6154838709677419   precision 0.5262115957494108   recall 0.5349910554151922
deviation 2/5   iterations 400/2000   F1 0.5186947940360956   accuracy 0.6219354838709678   precision 0.5262960244049658   recall 0.5443842193732852
deviation 2/5   iterations 410/2000   F1 0.4903491517088763   accuracy 0.5535483870967742   precision 0.5320053398947726   recall 0.5275477340412424
deviation 2/5   iterations 420/2000   F1 0.49425398918785346   accuracy 0.5767741935483871   precision 0.517512290665   recall 0.5238980685489155
deviation 2/5   iterations 430/2000   F1 0.504834956025254   accuracy 0.6025806451612903   precision 0.5179715182518635   recall 0.5279482891241932
deviation 2/5   iterations 440/2000   F1 0.53375252677745   accuracy 0.6580645161290323   precision 0.5324188824628578   recall 0.5556355138550662
deviation 2/5   iterations 450/2000   F1 0.5033431377653418   accuracy 0.5780645161290323   precision 0.5303660429532505   recall 0.5378985159008751
deviation 2/5   iterations 460/2000   F1 0.5067043327699592   accuracy 0.5832258064516129   precision 0.5329883621800591   recall 0.5406647676297824
deviation 2/5   iterations 470/2000   F1 0.5226318900175978   accuracy 0.6193548387096774   precision 0.5395483222276632   recall 0.544312142365916
deviation 2/5   iterations 480/2000   F1 0.5310327107792033   accuracy 0.6335483870967742   precision 0.5546111303791363   recall 0.5476525557721411
deviation 2/5   iterations 490/2000   F1 0.5113872105612406   accuracy 0.6038709677419355   precision 0.531271256949973   recall 0.5323584038599897
deviation 2/5   iterations 500/2000   F1 0.5243089311332874   accuracy 0.6374193548387097   precision 0.5262065452614233   recall 0.5481619217742758
deviation 2/5   iterations 510/2000   F1 0.5256416665989231   accuracy 0.6477419354838709   precision 0.527397261097008   recall 0.5517715808459402
deviation 2/5   iterations 520/2000   F1 0.5104533104533104   accuracy 0.6051612903225806   precision 0.5302451741345893   recall 0.5341703101962049
deviation 2/5   iterations 530/2000   F1 0.528674140199314   accuracy 0.6335483870967742   precision 0.5328891457304372   recall 0.5540725636294348
deviation 2/5   iterations 540/2000   F1 0.5296726857735211   accuracy 0.6193548387096774   precision 0.5433691253915973   recall 0.5563735464129295
deviation 2/5   iterations 550/2000   F1 0.4983172695039169   accuracy 0.56   precision 0.5354198509302354   recall 0.5379976729189584
deviation 2/5   iterations 560/2000   F1 0.5314663272110081   accuracy 0.6270967741935484   precision 0.5352608413092285   recall 0.559593286055398
deviation 2/5   iterations 570/2000   F1 0.49941405916511106   accuracy 0.5625806451612904   precision 0.5312920233274538   recall 0.5409858007477356
deviation 2/5   iterations 580/2000   F1 0.4999632353202146   accuracy 0.5690322580645162   precision 0.528116407925249   recall 0.5401132680762344
deviation 2/5   iterations 590/2000   F1 0.5201925891620246   accuracy 0.6051612903225806   precision 0.5334649571429705   recall 0.5523577689932732
deviation 2/5   iterations 600/2000   F1 0.5320982853934763   accuracy 0.6412903225806451   precision 0.5326794722615348   recall 0.5530890929079988
deviation 2/5   iterations 610/2000   F1 0.5167193902824271   accuracy 0.5909677419354838   precision 0.54916328621093   recall 0.5493351980088746
deviation 2/5   iterations 620/2000   F1 0.5204641478676778   accuracy 0.6348387096774194   precision 0.5238903406723374   recall 0.5415823791106598
deviation 2/5   iterations 630/2000   F1 0.5296438240713762   accuracy 0.6232258064516129   precision 0.5364006734006734   recall 0.55844823520961
deviation 2/5   iterations 640/2000   F1 0.5109319191699054   accuracy 0.6245161290322581   precision 0.5167362803964396   recall 0.5385209470836956
deviation 2/5   iterations 650/2000   F1 0.5084970029562643   accuracy 0.5935483870967742   precision 0.5248202299036399   recall 0.5398805108844463
deviation 2/5   iterations 660/2000   F1 0.49503746476017985   accuracy 0.5754838709677419   precision 0.5200780763455293   recall 0.521537935168
deviation 2/5   iterations 670/2000   F1 0.509458633189834   accuracy 0.5974193548387097   precision 0.5276450906233883   recall 0.5341605744823832
deviation 2/5   iterations 680/2000   F1 0.5129764320405661   accuracy 0.6296774193548387   precision 0.5154338907280084   recall 0.5318240031651705
deviation 2/5   iterations 690/2000   F1 0.5058003995307201   accuracy 0.6064516129032258   precision 0.5171951299664755   recall 0.5334236873026166
deviation 2/5   iterations 700/2000   F1 0.5142678278264219   accuracy 0.6103225806451613   precision 0.526091002879531   recall 0.5443497762176638
deviation 2/5   iterations 710/2000   F1 0.5155577403752529   accuracy 0.6129032258064516   precision 0.5268378900856118   recall 0.5406636222516857
deviation 2/5   iterations 720/2000   F1 0.5073984169698473   accuracy 0.5754838709677419   precision 0.5370824881432769   recall 0.5462328596213152
deviation 2/5   iterations 730/2000   F1 0.5236955852051961   accuracy 0.6490322580645161   precision 0.5237278619012428   recall 0.5404017397311536
deviation 2/5   iterations 740/2000   F1 0.5114422074440248   accuracy 0.6451612903225806   precision 0.5118019382063582   recall 0.527679943398687
deviation 2/5   iterations 750/2000   F1 0.49364366141404803   accuracy 0.5612903225806452   precision 0.5266099050423397   recall 0.5298378357328186
deviation 2/5   iterations 760/2000   F1 0.5109293133883298   accuracy 0.6193548387096774   precision 0.5180005127197559   recall 0.532481122941776
deviation 2/5   iterations 770/2000   F1 0.511137171347486   accuracy 0.6051612903225806   precision 0.5212568951406604   recall 0.5381192466226482
deviation 2/5   iterations 780/2000   F1 0.4971996731714046   accuracy 0.5870967741935483   precision 0.5237403635563421   recall 0.5210877197632864
deviation 2/5   iterations 790/2000   F1 0.5085049385189637   accuracy 0.6141935483870967   precision 0.5174154374204721   recall 0.5297148712128686
deviation 2/5   iterations 800/2000   F1 0.5184380373793757   accuracy 0.6283870967741936   precision 0.5231360852207323   recall 0.5365831309695674
deviation 2/5   iterations 810/2000   F1 0.5247781940043089   accuracy 0.6219354838709678   precision 0.5414049413735343   recall 0.5484206135986814
deviation 2/5   iterations 820/2000   F1 0.5144042933835972   accuracy 0.6219354838709678   precision 0.523583536514571   recall 0.5338642488062296
deviation 2/5   iterations 830/2000   F1 0.5015337036801834   accuracy 0.6258064516129033   precision 0.5069603528655252   recall 0.5268332635470822
deviation 2/5   iterations 840/2000   F1 0.5154863103697943   accuracy 0.6412903225806451   precision 0.5177138898346764   recall 0.5437927133990748
deviation 2/5   iterations 850/2000   F1 0.5200603641805936   accuracy 0.6154838709677419   precision 0.5296657482150094   recall 0.5455745944666129
deviation 2/5   iterations 860/2000   F1 0.5235160235321094   accuracy 0.6425806451612903   precision 0.5237155829533626   recall 0.5447385502687629
deviation 2/5   iterations 870/2000   F1 0.506437813861022   accuracy 0.6464516129032258   precision 0.505711394606434   recall 0.5205133126478049
deviation 2/5   iterations 880/2000   F1 0.5094085187919077   accuracy 0.6   precision 0.5278548566260969   recall 0.5294812140811475
deviation 2/5   iterations 890/2000   F1 0.5130193561228044   accuracy 0.6464516129032258   precision 0.5117845716317099   recall 0.5309697147304949
deviation 2/5   iterations 900/2000   F1 0.491882522992696   accuracy 0.6012903225806452   precision 0.502456958484816   recall 0.5138207048035031
deviation 2/5   iterations 910/2000   F1 0.5094098879877959   accuracy 0.6038709677419355   precision 0.5287015610992867   recall 0.528830557509516
deviation 2/5   iterations 920/2000   F1 0.49494504031704406   accuracy 0.6219354838709678   precision 0.5004470640089332   recall 0.5177664505338199
deviation 2/5   iterations 930/2000   F1 0.4816966390516602   accuracy 0.5793548387096774   precision 0.5008722701075498   recall 0.5040505478261624
deviation 2/5   iterations 940/2000   F1 0.5416182990361972   accuracy 0.6619354838709678   precision 0.5391550991162702   recall 0.5553662681896268
deviation 2/5   iterations 950/2000   F1 0.5224273371776826   accuracy 0.632258064516129   precision 0.5275727581834947   recall 0.5395238892327751
deviation 2/5   iterations 960/2000   F1 0.4867433951099289   accuracy 0.5858064516129032   precision 0.5011488606756777   recall 0.5109726403534047
deviation 2/5   iterations 970/2000   F1 0.5180025501360269   accuracy 0.6374193548387097   precision 0.5179787585750889   recall 0.5410426605889632
deviation 2/5   iterations 980/2000   F1 0.47499768441069684   accuracy 0.5406451612903226   precision 0.5163595976827665   recall 0.5092460646853917
deviation 2/5   iterations 990/2000   F1 0.5037615255283778   accuracy 0.6232258064516129   precision 0.5077038710667442   recall 0.5169801484704539
deviation 2/5   iterations 1000/2000   F1 0.5028765294465778   accuracy 0.6593548387096774   precision 0.4991726153887473   recall 0.510782916652963
deviation 2/5   iterations 1010/2000   F1 0.5112827779203197   accuracy 0.6335483870967742   precision 0.515841329930358   recall 0.5200415804974181
deviation 2/5   iterations 1020/2000   F1 0.494613509922227   accuracy 0.6141935483870967   precision 0.5008032392619594   recall 0.5154763488422436
deviation 2/5   iterations 1030/2000   F1 0.4937743707299435   accuracy 0.6167741935483871   precision 0.4996684911357412   recall 0.5159298367558048
deviation 2/5   iterations 1040/2000   F1 0.5009229135587558   accuracy 0.6490322580645161   precision 0.49928158175992543   recall 0.5182414551930542
deviation 2/5   iterations 1050/2000   F1 0.5072841672775823   accuracy 0.6167741935483871   precision 0.5123437804183048   recall 0.531034428592957
deviation 2/5   iterations 1060/2000   F1 0.4944700917569304   accuracy 0.6090322580645161   precision 0.5041016388427833   recall 0.5085704552337971
deviation 2/5   iterations 1070/2000   F1 0.5183463275428175   accuracy 0.6438709677419355   precision 0.518328616265912   recall 0.5299044312878681
deviation 2/5   iterations 1080/2000   F1 0.5109482318855232   accuracy 0.6335483870967742   precision 0.5102813852813853   recall 0.5285751381939581
deviation 2/5   iterations 1090/2000   F1 0.48515943582511123   accuracy 0.5909677419354838   precision 0.49601940766435887   recall 0.5101474772474731
deviation 2/5   iterations 1100/2000   F1 0.47700871280491713   accuracy 0.6090322580645161   precision 0.48595769120321625   recall 0.502865490559712
deviation 2/5   iterations 1110/2000   F1 0.5055308170766186   accuracy 0.6451612903225806   precision 0.5062460278540272   recall 0.5258206674969021
deviation 2/5   iterations 1120/2000   F1 0.5001586276259955   accuracy 0.6232258064516129   precision 0.5024511782473277   recall 0.5108540937203991
deviation 2/5   iterations 1130/2000   F1 0.5083970605441547   accuracy 0.6038709677419355   precision 0.516685975790787   recall 0.5341541112774091
deviation 2/5   iterations 1140/2000   F1 0.5096153031642284   accuracy 0.6193548387096774   precision 0.5172541769060757   recall 0.5221518578278166
deviation 2/5   iterations 1150/2000   F1 0.5047636978671463   accuracy 0.6374193548387097   precision 0.5051391218411841   recall 0.5200662879392177
deviation 2/5   iterations 1160/2000   F1 0.5025009431529809   accuracy 0.6193548387096774   precision 0.5071347418232085   recall 0.5218975838903552
deviation 2/5   iterations 1170/2000   F1 0.5032438378757532   accuracy 0.6167741935483871   precision 0.5099829393908581   recall 0.5222465969589557
deviation 2/5   iterations 1180/2000   F1 0.5214796433588175   accuracy 0.6361290322580645   precision 0.5250117782209401   recall 0.5397393021276707
deviation 2/5   iterations 1190/2000   F1 0.4926458875651923   accuracy 0.6154838709677419   precision 0.499821458803644   recall 0.5169704127566322
deviation 2/5   iterations 1200/2000   F1 0.5034316447305752   accuracy 0.64   precision 0.503481371163809   recall 0.5213858453193061
deviation 2/5   iterations 1210/2000   F1 0.4838490606586722   accuracy 0.6309677419354839   precision 0.4850319102293688   recall 0.4886399764117562
deviation 2/5   iterations 1220/2000   F1 0.4998651192119155   accuracy 0.6283870967741936   precision 0.506614241360004   recall 0.5050232192684012
deviation 2/5   iterations 1230/2000   F1 0.5165360091830807   accuracy 0.6283870967741936   precision 0.5221640197712848   recall 0.5304570762195127
deviation 2/5   iterations 1240/2000   F1 0.5253978883054428   accuracy 0.6490322580645161   precision 0.5295205721017836   recall 0.5319953190033443
deviation 2/5   iterations 1250/2000   F1 0.5091978517557348   accuracy 0.6632258064516129   precision 0.5067330070921555   recall 0.5215818685992795
deviation 2/5   iterations 1260/2000   F1 0.535350567436129   accuracy 0.6632258064516129   precision 0.5315525930219452   recall 0.551473209851757
deviation 2/5   iterations 1270/2000   F1 0.5033810604902907   accuracy 0.6245161290322581   precision 0.5071452385282172   recall 0.5194038503357349
deviation 2/5   iterations 1280/2000   F1 0.525436770556404   accuracy 0.6387096774193548   precision 0.5263450856280562   recall 0.5480509837243409
deviation 2/5   iterations 1290/2000   F1 0.5115521897331875   accuracy 0.6516129032258065   precision 0.5111273661565977   recall 0.5284759811758746
deviation 2/5   iterations 1300/2000   F1 0.5318407195939505   accuracy 0.6412903225806451   precision 0.5309271794777272   recall 0.5504908845084177
deviation 2/5   iterations 1310/2000   F1 0.5078095238095238   accuracy 0.6425806451612903   precision 0.5067272104485845   recall 0.5236986091346522
deviation 2/5   iterations 1320/2000   F1 0.5092311315596587   accuracy 0.6606451612903226   precision 0.5056176650276015   recall 0.5201987427348258
deviation 2/5   iterations 1330/2000   F1 0.5219690329439053   accuracy 0.6645161290322581   precision 0.5177002626171912   recall 0.5328569705829271
deviation 2/5   iterations 1340/2000   F1 0.5031275208289526   accuracy 0.6387096774193548   precision 0.5026902242873905   recall 0.5104285857574852
deviation 2/5   iterations 1350/2000   F1 0.48971830660593313   accuracy 0.6438709677419355   precision 0.49113456292424945   recall 0.5118837886293081
deviation 2/5   iterations 1360/2000   F1 0.49925542347950097   accuracy 0.64   precision 0.49737414224519333   recall 0.5135276516361972
deviation 2/5   iterations 1370/2000   F1 0.5151758965276622   accuracy 0.6606451612903226   precision 0.5113678545672259   recall 0.5255222965027189
deviation 2/5   iterations 1380/2000   F1 0.5098466660943194   accuracy 0.6412903225806451   precision 0.5078306695934547   recall 0.5248027536198447
deviation 2/5   iterations 1390/2000   F1 0.49252762499319225   accuracy 0.655483870967742   precision 0.4899826544873715   recall 0.5068489519544978
deviation 2/5   iterations 1400/2000   F1 0.49096019959547604   accuracy 0.6245161290322581   precision 0.4929578267139017   recall 0.5086931743155834
deviation 2/5   iterations 1410/2000   F1 0.5078787286452988   accuracy 0.6696774193548387   precision 0.5035637105664703   recall 0.5188500600259935
deviation 2/5   iterations 1420/2000   F1 0.5243382303567489   accuracy 0.6335483870967742   precision 0.5345444318419558   recall 0.5378079492185167
deviation 2/5   iterations 1430/2000   F1 0.49801862691049964   accuracy 0.6129032258064516   precision 0.5059867749522922   recall 0.5123772829635317
deviation 2/5   iterations 1440/2000   F1 0.5067690062468986   accuracy 0.6567741935483871   precision 0.5043922227169259   recall 0.5198561928711994
deviation 2/5   iterations 1450/2000   F1 0.5128176908269628   accuracy 0.655483870967742   precision 0.5119832548403976   recall 0.5304871014881898
deviation 2/5   iterations 1460/2000   F1 0.5056885456885457   accuracy 0.64   precision 0.5057004900497565   recall 0.5197172748706173
deviation 2/5   iterations 1470/2000   F1 0.5095459366655729   accuracy 0.6709677419354839   precision 0.5082696259100102   recall 0.5264701786904369
deviation 2/5   iterations 1480/2000   F1 0.5019107966476387   accuracy 0.6567741935483871   precision 0.5007736652500667   recall 0.5205951253689958
deviation 2/5   iterations 1490/2000   F1 0.4964460998031839   accuracy 0.64   precision 0.4963781068947188   recall 0.5091337358191965
deviation 2/5   iterations 1500/2000   F1 0.5111876735426888   accuracy 0.6348387096774194   precision 0.513599068355948   recall 0.5249363537935495
deviation 2/5   iterations 1510/2000   F1 0.5039428071912135   accuracy 0.64   precision 0.5060271930500938   recall 0.5144572895870896
deviation 2/5   iterations 1520/2000   F1 0.5057104836933299   accuracy 0.6477419354838709   precision 0.5050168181779229   recall 0.5134102503812882
deviation 2/5   iterations 1530/2000   F1 0.4884978726650376   accuracy 0.64   precision 0.4899253632935095   recall 0.5124073082322087
deviation 2/5   iterations 1540/2000   F1 0.4925782212367578   accuracy 0.655483870967742   precision 0.48830575554713485   recall 0.5093835918697135
deviation 2/5   iterations 1550/2000   F1 0.4880023204978284   accuracy 0.6425806451612903   precision 0.48643234008225295   recall 0.502595099516176
deviation 2/5   iterations 1560/2000   F1 0.5098092991019089   accuracy 0.6619354838709678   precision 0.5075136709888483   recall 0.5242910150487955
deviation 2/5   iterations 1570/2000   F1 0.5169182482425297   accuracy 0.6477419354838709   precision 0.5156102900250982   recall 0.5266555663166556
deviation 2/5   iterations 1580/2000   F1 0.48671085749818727   accuracy 0.64   precision 0.48374305440040594   recall 0.49688162631908694
deviation 2/5   iterations 1590/2000   F1 0.5030668537720481   accuracy 0.6580645161290323   precision 0.49933574168857214   recall 0.5126895621203174
deviation 2/5   iterations 1600/2000   F1 0.4966559301028995   accuracy 0.6516129032258065   precision 0.4934643473375868   recall 0.5117663873743991
deviation 2/5   iterations 1610/2000   F1 0.48436760513494215   accuracy 0.6425806451612903   precision 0.48487778779301144   recall 0.5067983098800806
deviation 2/5   iterations 1620/2000   F1 0.5019253003060605   accuracy 0.6464516129032258   precision 0.5037680392181789   recall 0.5221183146121283
deviation 2/5   iterations 1630/2000   F1 0.5077332798019337   accuracy 0.6580645161290323   precision 0.5044141101416643   recall 0.5196816863368992
deviation 2/5   iterations 1640/2000   F1 0.4908434453709251   accuracy 0.6541935483870968   precision 0.4865999417621554   recall 0.5008974037387431
deviation 2/5   iterations 1650/2000   F1 0.5189594077075873   accuracy 0.6748387096774193   precision 0.5153281711056433   recall 0.5252712950741052
deviation 2/5   iterations 1660/2000   F1 0.5151933173803243   accuracy 0.6632258064516129   precision 0.5121342579615019   recall 0.5217090055680101
deviation 2/5   iterations 1670/2000   F1 0.4978534874304163   accuracy 0.6606451612903226   precision 0.4947921449314197   recall 0.5130794815495133
deviation 2/5   iterations 1680/2000   F1 0.4976079786214407   accuracy 0.6503225806451612   precision 0.4963488070860658   recall 0.5102723234600105
deviation 2/5   iterations 1690/2000   F1 0.5129363546417155   accuracy 0.672258064516129   precision 0.5094460258665653   recall 0.5194942533926509
deviation 2/5   iterations 1700/2000   F1 0.5067706938889326   accuracy 0.6645161290322581   precision 0.503620007703673   recall 0.5136127368662357
deviation 2/5   iterations 1710/2000   F1 0.5077488287200868   accuracy 0.6567741935483871   precision 0.5047655342218037   recall 0.5155894140229295
deviation 2/5   iterations 1720/2000   F1 0.5126961743756264   accuracy 0.6296774193548387   precision 0.5170633898892313   recall 0.5250225844016847
deviation 2/5   iterations 1730/2000   F1 0.51113889583507   accuracy 0.6245161290322581   precision 0.5172993609385029   recall 0.5265231115210475
deviation 2/5   iterations 1740/2000   F1 0.5058820585455183   accuracy 0.6335483870967742   precision 0.5073400242837582   recall 0.5189212370934296
deviation 2/5   iterations 1750/2000   F1 0.5006092122947834   accuracy 0.6387096774193548   precision 0.49915553924678796   recall 0.5111675182552816
deviation 2/5   iterations 1760/2000   F1 0.48050427579786287   accuracy 0.6270967741935484   precision 0.48142131337006727   recall 0.4986266916620892
deviation 2/5   iterations 1770/2000   F1 0.48349054573299616   accuracy 0.6167741935483871   precision 0.4854665872807146   recall 0.502748089304803
deviation 2/5   iterations 1780/2000   F1 0.492318032573253   accuracy 0.6348387096774194   precision 0.4935648679604571   recall 0.5115003324050863
deviation 2/5   iterations 1790/2000   F1 0.5101327305879392   accuracy 0.6683870967741935   precision 0.5063940491028153   recall 0.5268191917590372
deviation 2/5   iterations 1800/2000   F1 0.4880216278671327   accuracy 0.6361290322580645   precision 0.48789672390695404   recall 0.5051997711207312
deviation 2/5   iterations 1810/2000   F1 0.502109455396308   accuracy 0.6412903225806451   precision 0.5010725835795707   recall 0.5168809914523705
deviation 2/5   iterations 1820/2000   F1 0.5010745462690543   accuracy 0.6503225806451612   precision 0.5028126635269493   recall 0.5215312265248623
deviation 2/5   iterations 1830/2000   F1 0.513505727894289   accuracy 0.6593548387096774   precision 0.5109718458295694   recall 0.529097512418762
deviation 2/5   iterations 1840/2000   F1 0.5079462144771553   accuracy 0.6645161290322581   precision 0.5043793793793794   recall 0.5162109452658169
deviation 2/5   iterations 1850/2000   F1 0.49383172823542804   accuracy 0.6245161290322581   precision 0.4980691811469178   recall 0.5139531595991111
deviation 2/5   iterations 1860/2000   F1 0.5025668903184987   accuracy 0.6270967741935484   precision 0.5063744315358013   recall 0.5249901865640932
deviation 2/5   iterations 1870/2000   F1 0.5074097215954051   accuracy 0.655483870967742   precision 0.5050046272758258   recall 0.5226289078050809
deviation 2/5   iterations 1880/2000   F1 0.5011565011015237   accuracy 0.6361290322580645   precision 0.5014274112611222   recall 0.5167129481230444
deviation 2/5   iterations 1890/2000   F1 0.5192184042211797   accuracy 0.6503225806451612   precision 0.5194968904588858   recall 0.5271726227145821
deviation 2/5   iterations 1900/2000   F1 0.5034429975651709   accuracy 0.6335483870967742   precision 0.5010847874581629   recall 0.5145908897607944
deviation 2/5   iterations 1910/2000   F1 0.4997257749649126   accuracy 0.6438709677419355   precision 0.5013138588768841   recall 0.5190030498146205
deviation 2/5   iterations 1920/2000   F1 0.5071491522527277   accuracy 0.6748387096774193   precision 0.5034433718486998   recall 0.5206866738040085
deviation 2/5   iterations 1930/2000   F1 0.5045614035087719   accuracy 0.6929032258064516   precision 0.49931764886787383   recall 0.5180528768707092
deviation 2/5   iterations 1940/2000   F1 0.5019106234576787   accuracy 0.672258064516129   precision 0.5032576481691885   recall 0.5209721183882436
deviation 2/5   iterations 1950/2000   F1 0.5027997511043526   accuracy 0.6503225806451612   precision 0.5003753741974758   recall 0.5146662392770112
deviation 2/5   iterations 1960/2000   F1 0.504520390372868   accuracy 0.6438709677419355   precision 0.5025898516115467   recall 0.5173980478502971
deviation 2/5   iterations 1970/2000   F1 0.5141398411000827   accuracy 0.6490322580645161   precision 0.5114475471937437   recall 0.5263539228136246
deviation 2/5   iterations 1980/2000   F1 0.5138197009598058   accuracy 0.6387096774193548   precision 0.5166363731526508   recall 0.52274426374196
deviation 2/5   iterations 1990/2000   F1 0.49326135946684796   accuracy 0.6374193548387097   precision 0.4925903958442294   recall 0.5060184710216887
deviation 2/5   iterations 2000/2000   F1 0.46791832856098386   accuracy 0.6193548387096774   precision 0.47371266233865345   recall 0.49688481701521336

deviation 3/5   iterations 10/2000   F1 0.38387107617230637   accuracy 0.5878552971576227   precision 0.4197892296887993   recall 0.392285368388527
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deviation 3/5   iterations 20/2000   F1 0.31354216861940626   accuracy 0.3462532299741602   precision 0.43178591651727   recall 0.3913742114380941
deviation 3/5   iterations 30/2000   F1 0.3814819202647443   accuracy 0.5568475452196382   precision 0.42263773315395214   recall 0.39235288123256895
deviation 3/5   iterations 40/2000   F1 0.45790382302199745   accuracy 0.6227390180878553   precision 0.46390131799967865   recall 0.4548889587928982
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deviation 3/5   iterations 50/2000   F1 0.4779588748575501   accuracy 0.599483204134367   precision 0.49067140296979006   recall 0.48566436286772263
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deviation 3/5   iterations 60/2000   F1 0.4843916207163342   accuracy 0.6046511627906976   precision 0.4902547435352247   recall 0.4925558788684306
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deviation 3/5   iterations 70/2000   F1 0.47640939307605973   accuracy 0.6149870801033591   precision 0.48542284965642635   recall 0.47901010511917885
deviation 3/5   iterations 80/2000   F1 0.4780820334835158   accuracy 0.6149870801033591   precision 0.4808084006790175   recall 0.48226498664213086
deviation 3/5   iterations 90/2000   F1 0.4792590178914238   accuracy 0.599483204134367   precision 0.484929428835246   recall 0.4980907843205253
deviation 3/5   iterations 100/2000   F1 0.4783113606309291   accuracy 0.582687338501292   precision 0.488662307854227   recall 0.49481261967953083
deviation 3/5   iterations 110/2000   F1 0.49401440987367135   accuracy 0.6188630490956072   precision 0.5012686732313326   recall 0.5011113999638783
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deviation 3/5   iterations 120/2000   F1 0.4912216840140989   accuracy 0.6136950904392765   precision 0.5046084248914439   recall 0.5002723059034427
deviation 3/5   iterations 130/2000   F1 0.49015720750824926   accuracy 0.58656330749354   precision 0.5037843642383284   recall 0.5146594282404054
deviation 3/5   iterations 140/2000   F1 0.49175698438334514   accuracy 0.6149870801033591   precision 0.5100703646675457   recall 0.5019657018355704
deviation 3/5   iterations 150/2000   F1 0.5004850739697901   accuracy 0.6098191214470284   precision 0.5040447289045833   recall 0.5191481100625782
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deviation 3/5   iterations 160/2000   F1 0.49622521084160504   accuracy 0.6007751937984496   precision 0.5090674957116931   recall 0.5179592773346471
deviation 3/5   iterations 170/2000   F1 0.5112767269090682   accuracy 0.6201550387596899   precision 0.521065753887762   recall 0.5336778414975505
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deviation 3/5   iterations 180/2000   F1 0.5185192364804774   accuracy 0.6421188630490956   precision 0.516297112620642   recall 0.5317426782587081
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deviation 3/5   iterations 190/2000   F1 0.4982170874340323   accuracy 0.6253229974160207   precision 0.5059726261018843   recall 0.5063735486070752
deviation 3/5   iterations 200/2000   F1 0.4903517403613514   accuracy 0.5917312661498708   precision 0.5032305102674096   recall 0.512175759011202
deviation 3/5   iterations 210/2000   F1 0.5217648490627902   accuracy 0.627906976744186   precision 0.520997375328084   recall 0.5434809769957055
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deviation 3/5   iterations 220/2000   F1 0.5221613296081381   accuracy 0.6330749354005168   precision 0.5229961140443941   recall 0.5425229258779477
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deviation 3/5   iterations 230/2000   F1 0.5118363629098734   accuracy 0.6317829457364341   precision 0.5104288069143723   recall 0.5261986727147026
deviation 3/5   iterations 240/2000   F1 0.5175175636892976   accuracy 0.6304909560723514   precision 0.5176635081578047   recall 0.5360170160241141
deviation 3/5   iterations 250/2000   F1 0.49952089687525875   accuracy 0.5904392764857881   precision 0.5104745048930343   recall 0.5295042606056447
deviation 3/5   iterations 260/2000   F1 0.512333844750704   accuracy 0.6408268733850129   precision 0.5106821909065948   recall 0.5232001104472417
deviation 3/5   iterations 270/2000   F1 0.5113303252823734   accuracy 0.6214470284237726   precision 0.5217639453156118   recall 0.533506210484798
deviation 3/5   iterations 280/2000   F1 0.5114772798799235   accuracy 0.6098191214470284   precision 0.5309358175879186   recall 0.5405102069008375
deviation 3/5   iterations 290/2000   F1 0.5149773668497694   accuracy 0.6253229974160207   precision 0.5158760909017613   recall 0.5333128950187983
deviation 3/5   iterations 300/2000   F1 0.48766176913185033   accuracy 0.5697674418604651   precision 0.5051881068792199   recall 0.5221463034073941
deviation 3/5   iterations 310/2000   F1 0.49411185760524184   accuracy 0.5736434108527132   precision 0.5359888690533853   recall 0.5398065074511306
deviation 3/5   iterations 320/2000   F1 0.5010235084195682   accuracy 0.5968992248062015   precision 0.5175550501426437   recall 0.5299859096144438
deviation 3/5   iterations 330/2000   F1 0.5030463121883232   accuracy 0.603359173126615   precision 0.5141961729709378   recall 0.5271269640724272
deviation 3/5   iterations 340/2000   F1 0.5172315598590816   accuracy 0.6511627906976745   precision 0.5157864358934865   recall 0.5260823391073006
deviation 3/5   iterations 350/2000   F1 0.5125642386024274   accuracy 0.6227390180878553   precision 0.5226368815095833   recall 0.529536643815598
deviation 3/5   iterations 360/2000   F1 0.5210672323446236   accuracy 0.6149870801033591   precision 0.5257637956417033   recall 0.55225010430263
deviation 3/5   iterations 370/2000   F1 0.4936352273269405   accuracy 0.5852713178294574   precision 0.5071638550558702   recall 0.5216123493658097
deviation 3/5   iterations 380/2000   F1 0.49561945078997943   accuracy 0.58656330749354   precision 0.5153309723131722   recall 0.5234415088313112
deviation 3/5   iterations 390/2000   F1 0.48755080353132535   accuracy 0.5788113695090439   precision 0.503956733702906   recall 0.5148924643778542
deviation 3/5   iterations 400/2000   F1 0.4979962205386815   accuracy 0.5813953488372093   precision 0.5201383269818001   recall 0.533045877006601
deviation 3/5   iterations 410/2000   F1 0.5055107121933905   accuracy 0.6356589147286822   precision 0.5103637010450371   recall 0.5278025024268961
deviation 3/5   iterations 420/2000   F1 0.5119849222423575   accuracy 0.6253229974160207   precision 0.5141010225890591   recall 0.5297864864290985
deviation 3/5   iterations 430/2000   F1 0.4803966364898356   accuracy 0.5671834625322998   precision 0.5118151415690929   recall 0.5160476841536821
deviation 3/5   iterations 440/2000   F1 0.4983733925290876   accuracy 0.6085271317829457   precision 0.5241822532448451   recall 0.5241859537375922
deviation 3/5   iterations 450/2000   F1 0.5093234569960091   accuracy 0.6369509043927648   precision 0.5087740984992345   recall 0.5201207131291126
deviation 3/5   iterations 460/2000   F1 0.5149583415406199   accuracy 0.6162790697674418   precision 0.5252872029270789   recall 0.5411776699485206
deviation 3/5   iterations 470/2000   F1 0.5066661845858925   accuracy 0.603359173126615   precision 0.5235753283551167   recall 0.531585886134567
deviation 3/5   iterations 480/2000   F1 0.5322838435813989   accuracy 0.6472868217054264   precision 0.5342294900221729   recall 0.5487560789228837
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deviation 3/5   iterations 490/2000   F1 0.47171910792022337   accuracy 0.5426356589147286   precision 0.524602502137136   recall 0.5143924102282081
deviation 3/5   iterations 500/2000   F1 0.5174062698803912   accuracy 0.6356589147286822   precision 0.5190132911665278   recall 0.5319398469167782
deviation 3/5   iterations 510/2000   F1 0.49429798659831964   accuracy 0.582687338501292   precision 0.5132905835085012   recall 0.5220913749246886
deviation 3/5   iterations 520/2000   F1 0.48270146554885374   accuracy 0.5607235142118863   precision 0.5067200989414998   recall 0.5156339169115698
deviation 3/5   iterations 530/2000   F1 0.5186181962157206   accuracy 0.6317829457364341   precision 0.5182828589441241   recall 0.5383713983619343
deviation 3/5   iterations 540/2000   F1 0.49452646718928284   accuracy 0.5736434108527132   precision 0.5193490762933193   recall 0.5278874776094699
deviation 3/5   iterations 550/2000   F1 0.5153096325125365   accuracy 0.6369509043927648   precision 0.5149487882212881   recall 0.5339548204211638
deviation 3/5   iterations 560/2000   F1 0.4976623298449578   accuracy 0.5904392764857881   precision 0.5098395200748072   recall 0.5245201156711863
deviation 3/5   iterations 570/2000   F1 0.4819372374099207   accuracy 0.5813953488372093   precision 0.520796696509556   recall 0.5034447537109314
deviation 3/5   iterations 580/2000   F1 0.5038310768720788   accuracy 0.6136950904392765   precision 0.5084674837693196   recall 0.5200909533690795
deviation 3/5   iterations 590/2000   F1 0.4737265504443369   accuracy 0.5633074935400517   precision 0.4932781106492345   recall 0.49752284840419225
deviation 3/5   iterations 600/2000   F1 0.4779984035603575   accuracy 0.5658914728682171   precision 0.5142280511199877   recall 0.5100990114594751
deviation 3/5   iterations 610/2000   F1 0.5269478172105287   accuracy 0.6421188630490956   precision 0.5312204570633566   recall 0.5397280089105476
deviation 3/5   iterations 620/2000   F1 0.5184310030419406   accuracy 0.6291989664082688   precision 0.5261518055409208   recall 0.5337983972196678
deviation 3/5   iterations 630/2000   F1 0.4848999150251145   accuracy 0.5697674418604651   precision 0.5030443735758948   recall 0.5124995911107351
deviation 3/5   iterations 640/2000   F1 0.4854785699469362   accuracy 0.5878552971576227   precision 0.5096487120318809   recall 0.5041122167586145
deviation 3/5   iterations 650/2000   F1 0.46784315828997486   accuracy 0.5426356589147286   precision 0.5239613615614193   recall 0.5047456979315491
deviation 3/5   iterations 660/2000   F1 0.49109918992711393   accuracy 0.6111111111111112   precision 0.4971041378293401   recall 0.5147033710265699
deviation 3/5   iterations 670/2000   F1 0.4618227775456898   accuracy 0.5219638242894057   precision 0.5130924526279945   recall 0.5004389769561898
deviation 3/5   iterations 680/2000   F1 0.49259551985103744   accuracy 0.5904392764857881   precision 0.5086744353048701   recall 0.5094819678399473
deviation 3/5   iterations 690/2000   F1 0.5132999283169959   accuracy 0.6227390180878553   precision 0.5147310060277858   recall 0.5328594071052369
deviation 3/5   iterations 700/2000   F1 0.49737810177811576   accuracy 0.5917312661498708   precision 0.5076548343662907   recall 0.5206863125353602
deviation 3/5   iterations 710/2000   F1 0.5131346910042413   accuracy 0.6201550387596899   precision 0.5169395673179968   recall 0.5315412874859226
deviation 3/5   iterations 720/2000   F1 0.4864088645565161   accuracy 0.5775193798449613   precision 0.5031434140907826   recall 0.5104015280284061
deviation 3/5   iterations 730/2000   F1 0.4763521461898052   accuracy 0.5607235142118863   precision 0.49531646982189254   recall 0.5081738091320488
deviation 3/5   iterations 740/2000   F1 0.5098126805968705   accuracy 0.6291989664082688   precision 0.5160072298003332   recall 0.5205573945666221
deviation 3/5   iterations 750/2000   F1 0.4910146156961948   accuracy 0.5839793281653747   precision 0.5054203102481399   recall 0.51127263637615
deviation 3/5   iterations 760/2000   F1 0.46250146447817064   accuracy 0.5452196382428941   precision 0.5004866789267265   recall 0.488363892835678
deviation 3/5   iterations 770/2000   F1 0.505330575010209   accuracy 0.6124031007751938   precision 0.5104802450922352   recall 0.5230601247991523
deviation 3/5   iterations 780/2000   F1 0.5183547249731976   accuracy 0.6382428940568475   precision 0.5179312345156807   recall 0.5322575712969656
deviation 3/5   iterations 790/2000   F1 0.4846450133660265   accuracy 0.5633074935400517   precision 0.5123345222029433   recall 0.5126967597688052
deviation 3/5   iterations 800/2000   F1 0.5075093413708309   accuracy 0.6136950904392765   precision 0.5126595033937883   recall 0.5236173619587793
deviation 3/5   iterations 810/2000   F1 0.5221324557354898   accuracy 0.6434108527131783   precision 0.5194044286421095   recall 0.534232824129902
deviation 3/5   iterations 820/2000   F1 0.5002056748204127   accuracy 0.582687338501292   precision 0.5142943496316232   recall 0.5342641005719203
deviation 3/5   iterations 830/2000   F1 0.5101361405207281   accuracy 0.6214470284237726   precision 0.5183293598155517   recall 0.5225875758822641
deviation 3/5   iterations 840/2000   F1 0.48272250181187437   accuracy 0.5697674418604651   precision 0.5054759432329526   recall 0.5110418547659764
deviation 3/5   iterations 850/2000   F1 0.49670216965255903   accuracy 0.5891472868217055   precision 0.5093791948630658   recall 0.521233219860926
deviation 3/5   iterations 860/2000   F1 0.4948389424195876   accuracy 0.6007751937984496   precision 0.5044836435701575   recall 0.5117032100943139
deviation 3/5   iterations 870/2000   F1 0.5120631090994421   accuracy 0.6291989664082688   precision 0.5101966508048642   recall 0.5274065664459607
deviation 3/5   iterations 880/2000   F1 0.497066637066637   accuracy 0.5723514211886305   precision 0.5205195660209866   recall 0.5360444392740619
deviation 3/5   iterations 890/2000   F1 0.4969018716295404   accuracy 0.6059431524547804   precision 0.4977701929578197   recall 0.5157293039110146
deviation 3/5   iterations 900/2000   F1 0.5157252216338705   accuracy 0.6369509043927648   precision 0.5180891338926349   recall 0.5238507670188731
deviation 3/5   iterations 910/2000   F1 0.50929934065452   accuracy 0.6317829457364341   precision 0.5071761963769399   recall 0.5234690140640691
deviation 3/5   iterations 920/2000   F1 0.5120250052324057   accuracy 0.6136950904392765   precision 0.5131620856238547   recall 0.5349933376669447
deviation 3/5   iterations 930/2000   F1 0.4927022099902379   accuracy 0.5775193798449613   precision 0.5198553645164992   recall 0.5186583857469933
deviation 3/5   iterations 940/2000   F1 0.5155628831093869   accuracy 0.6524547803617571   precision 0.5204844797979633   recall 0.5341497345519586
deviation 3/5   iterations 950/2000   F1 0.49114407025530643   accuracy 0.5852713178294574   precision 0.5024475940709424   recall 0.5128302687749038
deviation 3/5   iterations 960/2000   F1 0.515283194620025   accuracy 0.627906976744186   precision 0.5143290514340757   recall 0.5329017512266063
deviation 3/5   iterations 970/2000   F1 0.5010752908685725   accuracy 0.6188630490956072   precision 0.5110025063467799   recall 0.5135556526778579
deviation 3/5   iterations 980/2000   F1 0.49124079970050727   accuracy 0.5813953488372093   precision 0.5073856862332562   recall 0.5163463475305425
deviation 3/5   iterations 990/2000   F1 0.5303310737619346   accuracy 0.6589147286821705   precision 0.5296104259580331   recall 0.547397213846995
deviation 3/5   iterations 1000/2000   F1 0.4991827552391254   accuracy 0.5813953488372093   precision 0.5237654320987654   recall 0.5277902050053949
deviation 3/5   iterations 1010/2000   F1 0.5127886399680751   accuracy 0.6330749354005168   precision 0.5120410437975348   recall 0.5251624099961968
deviation 3/5   iterations 1020/2000   F1 0.5415011132685211   accuracy 0.6744186046511628   precision 0.5426746349070793   recall 0.5505254319284841
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deviation 3/5   iterations 1030/2000   F1 0.48853261585044755   accuracy 0.5891472868217055   precision 0.500479980203086   recall 0.5063308355630608
deviation 3/5   iterations 1040/2000   F1 0.49279381824998875   accuracy 0.5878552971576227   precision 0.5041869000564653   recall 0.513351638455152
deviation 3/5   iterations 1050/2000   F1 0.4814789627247403   accuracy 0.5891472868217055   precision 0.48886711144049394   recall 0.5048552679571253
deviation 3/5   iterations 1060/2000   F1 0.48989449854529016   accuracy 0.6020671834625323   precision 0.499693397737832   recall 0.5000198398400221
deviation 3/5   iterations 1070/2000   F1 0.5242213022110636   accuracy 0.6434108527131783   precision 0.5194722733323255   recall 0.5350974558356553
deviation 3/5   iterations 1080/2000   F1 0.48930680982584934   accuracy 0.5956072351421189   precision 0.49957308839515085   recall 0.5045401670268581
deviation 3/5   iterations 1090/2000   F1 0.50227715556394   accuracy 0.6227390180878553   precision 0.5002517872567591   recall 0.5160241140958046
deviation 3/5   iterations 1100/2000   F1 0.5009489182875987   accuracy 0.6059431524547804   precision 0.5073605051055964   recall 0.520527634806589
deviation 3/5   iterations 1110/2000   F1 0.5166306925232572   accuracy 0.6447028423772609   precision 0.5152671590298364   recall 0.5245502443538644
deviation 3/5   iterations 1120/2000   F1 0.5024640760841929   accuracy 0.6124031007751938   precision 0.5056066183232502   recall 0.5178723345646331
deviation 3/5   iterations 1130/2000   F1 0.49965077922676543   accuracy 0.6059431524547804   precision 0.5028317745366582   recall 0.5169333444502023
deviation 3/5   iterations 1140/2000   F1 0.5191344046179865   accuracy 0.6395348837209303   precision 0.5165518173968656   recall 0.5362733352796053
deviation 3/5   iterations 1150/2000   F1 0.5232275099531737   accuracy 0.6472868217054264   precision 0.5185495110252405   recall 0.5344467992640239
deviation 3/5   iterations 1160/2000   F1 0.47415769238852157   accuracy 0.5671834625322998   precision 0.4920110979030656   recall 0.49275267860385563
deviation 3/5   iterations 1170/2000   F1 0.4717990705204844   accuracy 0.5710594315245479   precision 0.4837211999769641   recall 0.49323818080472526
deviation 3/5   iterations 1180/2000   F1 0.5322413773280825   accuracy 0.6447028423772609   precision 0.5312765622875016   recall 0.5521505771712799
deviation 3/5   iterations 1190/2000   F1 0.5405838332562377   accuracy 0.6679586563307494   precision 0.5382037823970204   recall 0.5506547188198673
deviation 3/5   iterations 1200/2000   F1 0.48653315676052217   accuracy 0.5775193798449613   precision 0.4970821357024649   recall 0.5113340415008462
deviation 3/5   iterations 1210/2000   F1 0.5334637770807177   accuracy 0.6576227390180879   precision 0.5430317243484967   recall 0.5484334765655007
deviation 3/5   iterations 1220/2000   F1 0.5072689406026013   accuracy 0.6304909560723514   precision 0.5053704240316816   recall 0.5176561049032361
deviation 3/5   iterations 1230/2000   F1 0.4991003256003255   accuracy 0.6046511627906976   precision 0.5106338673417589   recall 0.513714330406629
deviation 3/5   iterations 1240/2000   F1 0.543705275034389   accuracy 0.665374677002584   precision 0.5400567305963708   recall 0.5537276394960058
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deviation 3/5   iterations 1250/2000   F1 0.5253125559358954   accuracy 0.6563307493540051   precision 0.5215704884839281   recall 0.5331096186413825
deviation 3/5   iterations 1260/2000   F1 0.5208436963680599   accuracy 0.6253229974160207   precision 0.5182643600915694   recall 0.5428238437820835
deviation 3/5   iterations 1270/2000   F1 0.4931720886116356   accuracy 0.6227390180878553   precision 0.5030097295936214   recall 0.49986763875324147
deviation 3/5   iterations 1280/2000   F1 0.49555990256145277   accuracy 0.6162790697674418   precision 0.5136051477682237   recall 0.5052525976458307
deviation 3/5   iterations 1290/2000   F1 0.5152389336008465   accuracy 0.6459948320413437   precision 0.5114697630341846   recall 0.523242454568611
deviation 3/5   iterations 1300/2000   F1 0.5177169498124355   accuracy 0.6524547803617571   precision 0.5165979676420512   recall 0.5265716945002406
deviation 3/5   iterations 1310/2000   F1 0.5006417661404184   accuracy 0.6020671834625323   precision 0.502650136822583   recall 0.5234327776620454
deviation 3/5   iterations 1320/2000   F1 0.5259810086432509   accuracy 0.6576227390180879   precision 0.5218887323289411   recall 0.5363965144516428
deviation 3/5   iterations 1330/2000   F1 0.5223857289829513   accuracy 0.6459948320413437   precision 0.5192829288167161   recall 0.5345505485100895
deviation 3/5   iterations 1340/2000   F1 0.5214540233498921   accuracy 0.6395348837209303   precision 0.521787327851401   recall 0.5362733352796053
deviation 3/5   iterations 1350/2000   F1 0.5006727391460998   accuracy 0.6124031007751938   precision 0.5019321570999807   recall 0.5200589390817713
deviation 3/5   iterations 1360/2000   F1 0.49041687955958196   accuracy 0.582687338501292   precision 0.49958488949954   recall 0.5191580709739944
deviation 3/5   iterations 1370/2000   F1 0.5279234091776085   accuracy 0.6395348837209303   precision 0.5241082899989778   recall 0.5435297977590655
deviation 3/5   iterations 1380/2000   F1 0.49776513193591915   accuracy 0.6136950904392765   precision 0.5008950791559488   recall 0.5087828594276008
deviation 3/5   iterations 1390/2000   F1 0.496045009334839   accuracy 0.6253229974160207   precision 0.49865467180073636   recall 0.5018467447782484
deviation 3/5   iterations 1400/2000   F1 0.5086253014319807   accuracy 0.6343669250645995   precision 0.5044353579237301   recall 0.5187347117431111
deviation 3/5   iterations 1410/2000   F1 0.5071664694606971   accuracy 0.6395348837209303   precision 0.5041174497236789   recall 0.517115674219661
deviation 3/5   iterations 1420/2000   F1 0.5245883032711656   accuracy 0.6498708010335917   precision 0.5203811858581489   recall 0.5374941822948448
deviation 3/5   iterations 1430/2000   F1 0.48495548927759335   accuracy 0.6059431524547804   precision 0.4905638706713435   recall 0.492452129622365
deviation 3/5   iterations 1440/2000   F1 0.49227537069185806   accuracy 0.6214470284237726   precision 0.49478650109884187   recall 0.49724172934867356
deviation 3/5   iterations 1450/2000   F1 0.5230569057789562   accuracy 0.6511627906976745   precision 0.5196032240433716   recall 0.5296766294636873
deviation 3/5   iterations 1460/2000   F1 0.5054941879620323   accuracy 0.6291989664082688   precision 0.5063996753614886   recall 0.5135724591539095
deviation 3/5   iterations 1470/2000   F1 0.5011987528499765   accuracy 0.6162790697674418   precision 0.5069936444164367   recall 0.5137631511699889
deviation 3/5   iterations 1480/2000   F1 0.505273027716321   accuracy 0.624031007751938   precision 0.509009828199969   recall 0.5152593784440466
deviation 3/5   iterations 1490/2000   F1 0.5093059229887874   accuracy 0.6291989664082688   precision 0.5136591419744087   recall 0.5208289216333698
deviation 3/5   iterations 1500/2000   F1 0.5263598060073577   accuracy 0.6666666666666666   precision 0.5241078419026338   recall 0.5291426754221028
deviation 3/5   iterations 1510/2000   F1 0.5250265049057806   accuracy 0.648578811369509   precision 0.5228150174798601   recall 0.5345466953180191
deviation 3/5   iterations 1520/2000   F1 0.5128529603682407   accuracy 0.6317829457364341   precision 0.515027012047866   recall 0.5219433959526234
deviation 3/5   iterations 1530/2000   F1 0.5019967126736314   accuracy 0.6227390180878553   precision 0.5048386808981163   recall 0.5119724826337863
deviation 3/5   iterations 1540/2000   F1 0.4710937960953315   accuracy 0.5736434108527132   precision 0.4818620325095811   recall 0.4874356014779533
deviation 3/5   iterations 1550/2000   F1 0.4878121323153451   accuracy 0.6020671834625323   precision 0.4897591695988886   recall 0.5008165897790883
deviation 3/5   iterations 1560/2000   F1 0.47485325658805344   accuracy 0.5723514211886305   precision 0.4898268463829572   recall 0.493863299731039
deviation 3/5   iterations 1570/2000   F1 0.5016689995408344   accuracy 0.6085271317829457   precision 0.5076024115240231   recall 0.51911609577527
deviation 3/5   iterations 1580/2000   F1 0.5244652098450637   accuracy 0.665374677002584   precision 0.5221260221260221   recall 0.527585043023349
deviation 3/5   iterations 1590/2000   F1 0.48229447551529003   accuracy 0.5968992248062015   precision 0.49016109683757136   recall 0.49185640153343924
deviation 3/5   iterations 1600/2000   F1 0.5297700842593392   accuracy 0.6563307493540051   precision 0.5258315471937763   recall 0.536771790764456
deviation 3/5   iterations 1610/2000   F1 0.5275734295416663   accuracy 0.6666666666666666   precision 0.5322578774330198   recall 0.5273455302439095
deviation 3/5   iterations 1620/2000   F1 0.5198971051324685   accuracy 0.6640826873385013   precision 0.5209963497691233   recall 0.5223652385015215
deviation 3/5   iterations 1630/2000   F1 0.5264304436772792   accuracy 0.6627906976744186   precision 0.524416079008353   recall 0.5288608185212941
deviation 3/5   iterations 1640/2000   F1 0.5199637604392888   accuracy 0.6511627906976745   precision 0.5178710203078264   recall 0.5261502208739876
deviation 3/5   iterations 1650/2000   F1 0.5073526066814658   accuracy 0.6214470284237726   precision 0.5073534725899901   recall 0.5198579172316307
deviation 3/5   iterations 1660/2000   F1 0.48521005316264976   accuracy 0.5788113695090439   precision 0.4999204747201209   recall 0.5068392519593277
deviation 3/5   iterations 1670/2000   F1 0.5105887275794091   accuracy 0.6175710594315246   precision 0.5108132547277284   recall 0.5300195225665473
deviation 3/5   iterations 1680/2000   F1 0.5072922995967774   accuracy 0.6408268733850129   precision 0.5091992632515169   recall 0.512027780039137
deviation 3/5   iterations 1690/2000   F1 0.5235086618525552   accuracy 0.6421188630490956   precision 0.5215376737122778   recall 0.5336755869702753
deviation 3/5   iterations 1700/2000   F1 0.5164331486912132   accuracy 0.6589147286821705   precision 0.5311388965264306   recall 0.5139481043893678
deviation 3/5   iterations 1710/2000   F1 0.5096202326682847   accuracy 0.6304909560723514   precision 0.5129457843743558   recall 0.518792263675737
deviation 3/5   iterations 1720/2000   F1 0.4932163911727761   accuracy 0.5981912144702842   precision 0.5045735102074049   recall 0.513046867358946
deviation 3/5   iterations 1730/2000   F1 0.4972591774861383   accuracy 0.6085271317829457   precision 0.4958237009881863   recall 0.5128600285349368
deviation 3/5   iterations 1740/2000   F1 0.528261482107636   accuracy 0.6498708010335917   precision 0.5233374468668587   recall 0.5384945775339718
deviation 3/5   iterations 1750/2000   F1 0.5288382716150609   accuracy 0.6511627906976745   precision 0.525371054682375   recall 0.5383908282879063
deviation 3/5   iterations 1760/2000   F1 0.5136337383751142   accuracy 0.6434108527131783   precision 0.5094677560817985   recall 0.5218564531826096
deviation 3/5   iterations 1770/2000   F1 0.5178986395481241   accuracy 0.6382428940568475   precision 0.5146515320428363   recall 0.5289348080073266
deviation 3/5   iterations 1780/2000   F1 0.5431371736565964   accuracy 0.6847545219638242   precision 0.5450463518740829   recall 0.5415064620080591
deviation 3/5   iterations 1790/2000   F1 0.538555367591663   accuracy 0.6795865633074936   precision 0.5414540848345616   recall 0.5394633274084356
deviation 3/5   iterations 1800/2000   F1 0.5280525688762875   accuracy 0.6834625322997416   precision 0.5375997119692868   recall 0.5291659585401453
deviation 3/5   iterations 1810/2000   F1 0.5189704646220853   accuracy 0.6459948320413437   precision 0.5147052737010273   recall 0.5277013766307509
deviation 3/5   iterations 1820/2000   F1 0.510405302836168   accuracy 0.6136950904392765   precision 0.5108479549811015   recall 0.5323994425496851
deviation 3/5   iterations 1830/2000   F1 0.5164401131934789   accuracy 0.6395348837209303   precision 0.5132569374227615   recall 0.5284916499278265
deviation 3/5   iterations 1840/2000   F1 0.4918401562038605   accuracy 0.6162790697674418   precision 0.49607481870846387   recall 0.49879288510543685
deviation 3/5   iterations 1850/2000   F1 0.47620926049898693   accuracy 0.5917312661498708   precision 0.49454635261102603   recall 0.489559571128245
deviation 3/5   iterations 1860/2000   F1 0.5022795596114229   accuracy 0.6201550387596899   precision 0.5108652920363564   recall 0.5133161398984184
deviation 3/5   iterations 1870/2000   F1 0.49960963599932534   accuracy 0.6136950904392765   precision 0.5075554075554075   recall 0.5115803998449213
deviation 3/5   iterations 1880/2000   F1 0.4561959872205182   accuracy 0.5594315245478036   precision 0.4887709200176129   recall 0.47237031733660145
deviation 3/5   iterations 1890/2000   F1 0.49134624750052996   accuracy 0.5981912144702842   precision 0.5046716618628241   recall 0.508655827063493
deviation 3/5   iterations 1900/2000   F1 0.4926238854242961   accuracy 0.6072351421188631   precision 0.5125067833401167   recall 0.5093194369191058
deviation 3/5   iterations 1910/2000   F1 0.5066707997934207   accuracy 0.624031007751938   precision 0.5064421615602718   recall 0.5194467734394387
deviation 3/5   iterations 1920/2000   F1 0.4974047181640568   accuracy 0.6111111111111112   precision 0.49928322565292477   recall 0.5116521348036787
deviation 3/5   iterations 1930/2000   F1 0.5098674248917229   accuracy 0.6291989664082688   precision 0.5064743823779968   recall 0.5222187762114415
deviation 3/5   iterations 1940/2000   F1 0.5206780507002237   accuracy 0.665374677002584   precision 0.5371833437532164   recall 0.5340948060692531
deviation 3/5   iterations 1950/2000   F1 0.5314110767524968   accuracy 0.6692506459948321   precision 0.5531713168581969   recall 0.5389034667988886
deviation 3/5   iterations 1960/2000   F1 0.5051220669427191   accuracy 0.627906976744186   precision 0.5028816900814279   recall 0.5162022217505478
deviation 3/5   iterations 1970/2000   F1 0.4987364445542222   accuracy 0.6136950904392765   precision 0.4971856499657193   recall 0.5121735044839268
deviation 3/5   iterations 1980/2000   F1 0.5352096669956562   accuracy 0.6731266149870802   precision 0.5330795246341892   recall 0.5378633508883124
deviation 3/5   iterations 1990/2000   F1 0.5168611650673907   accuracy 0.6563307493540051   precision 0.5154794117278615   recall 0.5184108796435781
deviation 3/5   iterations 2000/2000   F1 0.5078141000512987   accuracy 0.6266149870801033   precision 0.5040423120919374   recall 0.5191035114139337

deviation 4/5   iterations 10/2000   F1 0.3688712522045856   accuracy 0.5762273901808785   precision 0.4728022394433374   recall 0.3959666015149275
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deviation 4/5   iterations 20/2000   F1 0.30392893323608977   accuracy 0.2868217054263566   precision 0.5136445903987342   recall 0.42595488863086167
deviation 4/5   iterations 30/2000   F1 0.4855227967536457   accuracy 0.6382428940568475   precision 0.48854649496263675   recall 0.4843634186471049
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deviation 4/5   iterations 40/2000   F1 0.501999199629837   accuracy 0.627906976744186   precision 0.5082755598055622   recall 0.5104892086437101
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deviation 4/5   iterations 50/2000   F1 0.48818437685031507   accuracy 0.58656330749354   precision 0.5263392396661599   recall 0.5177284957244734
deviation 4/5   iterations 60/2000   F1 0.4890726706948092   accuracy 0.5736434108527132   precision 0.532309522123058   recall 0.5257008730923317
deviation 4/5   iterations 70/2000   F1 0.502175289428059   accuracy 0.6201550387596899   precision 0.5248018364269126   recall 0.5179787072606191
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deviation 4/5   iterations 80/2000   F1 0.5066905474496352   accuracy 0.6447028423772609   precision 0.5156267246385158   recall 0.5143783091848867
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deviation 4/5   iterations 90/2000   F1 0.5059955293075763   accuracy 0.6149870801033591   precision 0.543413479240474   recall 0.5311773657922955
deviation 4/5   iterations 100/2000   F1 0.5094577208398346   accuracy 0.6111111111111112   precision 0.5429384268440077   recall 0.5333536404753724
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deviation 4/5   iterations 110/2000   F1 0.5074775953097984   accuracy 0.6085271317829457   precision 0.5260043507466188   recall 0.5291022169053637
deviation 4/5   iterations 120/2000   F1 0.5003495795099994   accuracy 0.5968992248062015   precision 0.5256664173443389   recall 0.5220005789626043
deviation 4/5   iterations 130/2000   F1 0.49173709177720415   accuracy 0.5775193798449613   precision 0.5244275024797687   recall 0.5195908992194335
deviation 4/5   iterations 140/2000   F1 0.4985512763797435   accuracy 0.599483204134367   precision 0.5162676214571059   recall 0.5216573169370993
deviation 4/5   iterations 150/2000   F1 0.5048516852665776   accuracy 0.6124031007751938   precision 0.52161219318568   recall 0.5241962835716533
deviation 4/5   iterations 160/2000   F1 0.5240604161083731   accuracy 0.6550387596899225   precision 0.5237981072805923   recall 0.5327560267818164
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deviation 4/5   iterations 170/2000   F1 0.5180707436115121   accuracy 0.6395348837209303   precision 0.5318569645648168   recall 0.5308318492395152
deviation 4/5   iterations 180/2000   F1 0.503337227146751   accuracy 0.6136950904392765   precision 0.5233757942561849   recall 0.5196336122634478
deviation 4/5   iterations 190/2000   F1 0.4739639956495482   accuracy 0.5671834625322998   precision 0.5393442035392403   recall 0.5084017623352771
deviation 4/5   iterations 200/2000   F1 0.48234068931929625   accuracy 0.5736434108527132   precision 0.5284796395501546   recall 0.5116631205002197
deviation 4/5   iterations 210/2000   F1 0.5179988786405225   accuracy 0.6382428940568475   precision 0.5345984966072321   recall 0.5319359937247078
deviation 4/5   iterations 220/2000   F1 0.5309053930078433   accuracy 0.6692506459948321   precision 0.5277081025829532   recall 0.5425656389219622
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deviation 4/5   iterations 230/2000   F1 0.5198361449782493   accuracy 0.6498708010335917   precision 0.5187249271539094   recall 0.5306450104155062
deviation 4/5   iterations 240/2000   F1 0.5259853142108715   accuracy 0.648578811369509   precision 0.5351404163366835   recall 0.540073894385973
deviation 4/5   iterations 250/2000   F1 0.493778323744449   accuracy 0.5930232558139535   precision 0.5186000896889104   recall 0.5165309318272763
deviation 4/5   iterations 260/2000   F1 0.5000464123271141   accuracy 0.5917312661498708   precision 0.5359019025701904   recall 0.5300114472597616
deviation 4/5   iterations 270/2000   F1 0.49799470022609765   accuracy 0.5904392764857881   precision 0.5277190531154446   recall 0.5257241562103742
deviation 4/5   iterations 280/2000   F1 0.5113804547799371   accuracy 0.6369509043927648   precision 0.5210694565533275   recall 0.5223930306741144
deviation 4/5   iterations 290/2000   F1 0.5002016594896236   accuracy 0.6059431524547804   precision 0.5117499519607921   recall 0.518526844328335
deviation 4/5   iterations 300/2000   F1 0.5265958895173865   accuracy 0.6550387596899225   precision 0.5312623648113953   recall 0.5354856854324499
deviation 4/5   iterations 310/2000   F1 0.5008835673141027   accuracy 0.6007751937984496   precision 0.5242344491049155   recall 0.5187560272737133
deviation 4/5   iterations 320/2000   F1 0.5092829629420144   accuracy 0.6059431524547804   precision 0.5365614357173265   recall 0.5357694279378888
deviation 4/5   iterations 330/2000   F1 0.5064436438885468   accuracy 0.6149870801033591   precision 0.5152140707991771   recall 0.528497757647172
deviation 4/5   iterations 340/2000   F1 0.531100206939351   accuracy 0.6447028423772609   precision 0.5380010342543126   recall 0.5473021957701953
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deviation 4/5   iterations 350/2000   F1 0.5303505781117721   accuracy 0.6602067183462532   precision 0.5398283959291222   recall 0.5383255699711396
deviation 4/5   iterations 360/2000   F1 0.5312384306289223   accuracy 0.6563307493540051   precision 0.5336204617677662   recall 0.5422989898324099
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deviation 4/5   iterations 370/2000   F1 0.5158878186658153   accuracy 0.6124031007751938   precision 0.5313454299470562   recall 0.5397596542752109
deviation 4/5   iterations 380/2000   F1 0.5071237520863476   accuracy 0.6188630490956072   precision 0.5298354812288971   recall 0.5233381285078907
deviation 4/5   iterations 390/2000   F1 0.5214486008540131   accuracy 0.6382428940568475   precision 0.5261329705736244   recall 0.5375132432981717
deviation 4/5   iterations 400/2000   F1 0.4740574499301948   accuracy 0.5555555555555556   precision 0.5130823862105388   recall 0.4963660299635693
deviation 4/5   iterations 410/2000   F1 0.5136629803497456   accuracy 0.6369509043927648   precision 0.5160950528890068   recall 0.5238507670188731
deviation 4/5   iterations 420/2000   F1 0.4974243923897504   accuracy 0.6111111111111112   precision 0.5066233584311483   recall 0.5109911483979862
deviation 4/5   iterations 430/2000   F1 0.5064386790954205   accuracy 0.6149870801033591   precision 0.5123390007844636   recall 0.5292945075862384
deviation 4/5   iterations 440/2000   F1 0.5133922005229613   accuracy 0.6162790697674418   precision 0.5245365265353502   recall 0.5349216027081873
deviation 4/5   iterations 450/2000   F1 0.5253817064161893   accuracy 0.6511627906976745   precision 0.5257571757959205   recall 0.5466977365120037
deviation 4/5   iterations 460/2000   F1 0.5355079524368386   accuracy 0.6602067183462532   precision 0.5327333921061648   recall 0.5467682417286108
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deviation 4/5   iterations 470/2000   F1 0.5008583089205275   accuracy 0.6253229974160207   precision 0.5112959831886111   recall 0.5090353254910217
deviation 4/5   iterations 480/2000   F1 0.512047383199612   accuracy 0.6188630490956072   precision 0.5244592826716702   recall 0.5291190233814155
deviation 4/5   iterations 490/2000   F1 0.5086646291024899   accuracy 0.6214470284237726   precision 0.5165092217723797   recall 0.5225196941155773
deviation 4/5   iterations 500/2000   F1 0.4904247132963017   accuracy 0.5671834625322998   precision 0.5290680337645656   recall 0.5273557780951605
deviation 4/5   iterations 510/2000   F1 0.5299380554765483   accuracy 0.665374677002584   precision 0.5340980438594926   recall 0.5489971903671181
deviation 4/5   iterations 520/2000   F1 0.5047091132346092   accuracy 0.603359173126615   precision 0.5309878425667899   recall 0.5255334641942947
deviation 4/5   iterations 530/2000   F1 0.5223935983703888   accuracy 0.6291989664082688   precision 0.5232925865109773   recall 0.5441060959220193
deviation 4/5   iterations 540/2000   F1 0.5116839226877631   accuracy 0.6227390180878553   precision 0.516417404364117   recall 0.5334525117442425
deviation 4/5   iterations 550/2000   F1 0.515492334439703   accuracy 0.6201550387596899   precision 0.5247060812977212   recall 0.5459006176502923
deviation 4/5   iterations 560/2000   F1 0.5076097366105067   accuracy 0.6343669250645995   precision 0.5210007342843227   recall 0.5184810159375403
deviation 4/5   iterations 570/2000   F1 0.532958307490035   accuracy 0.6524547803617571   precision 0.5311441409359648   recall 0.5494594094499453
deviation 4/5   iterations 580/2000   F1 0.503072357089859   accuracy 0.5956072351421189   precision 0.5200009361727053   recall 0.5272242366765022
deviation 4/5   iterations 590/2000   F1 0.5031645524116476   accuracy 0.6085271317829457   precision 0.5142520034885147   recall 0.5219136361925903
deviation 4/5   iterations 600/2000   F1 0.5011982439518672   accuracy 0.6162790697674418   precision 0.5071491814951177   recall 0.5177469008653204
deviation 4/5   iterations 610/2000   F1 0.5316966200959355   accuracy 0.6576227390180879   precision 0.529081526625831   recall 0.5451785950425486
deviation 4/5   iterations 620/2000   F1 0.5497937528999685   accuracy 0.6886304909560723   precision 0.545877378435518   recall 0.559945584729685
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deviation 4/5   iterations 630/2000   F1 0.538602530807447   accuracy 0.648578811369509   precision 0.5366172291326635   recall 0.5588921466124827
deviation 4/5   iterations 640/2000   F1 0.5226827045777135   accuracy 0.627906976744186   precision 0.5252761994949495   recall 0.5452102404072119
deviation 4/5   iterations 650/2000   F1 0.5014606155451226   accuracy 0.599483204134367   precision 0.514688604033776   recall 0.524115448520985
deviation 4/5   iterations 660/2000   F1 0.5183976416943669   accuracy 0.6447028423772609   precision 0.5162500271189602   recall 0.5304669027607629
deviation 4/5   iterations 670/2000   F1 0.5410173160173161   accuracy 0.6718346253229974   precision 0.5364448441851168   recall 0.5511402210207369
deviation 4/5   iterations 680/2000   F1 0.4842683779859134   accuracy 0.5917312661498708   precision 0.5003177871328689   recall 0.5071916140767436
deviation 4/5   iterations 690/2000   F1 0.535667519872093   accuracy 0.6666666666666666   precision 0.532134566124563   recall 0.5507584680659329
deviation 4/5   iterations 700/2000   F1 0.5154344225267279   accuracy 0.6304909560723514   precision 0.5190504890376132   recall 0.530761344022908
deviation 4/5   iterations 710/2000   F1 0.5193749716464473   accuracy 0.6408268733850129   precision 0.518113680735013   recall 0.5353049543277865
deviation 4/5   iterations 720/2000   F1 0.5408641781049359   accuracy 0.6847545219638242   precision 0.5375638852032041   recall 0.5456938570034513
deviation 4/5   iterations 730/2000   F1 0.5380098707988142   accuracy 0.6873385012919897   precision 0.5364986636730105   recall 0.5511314898514709
deviation 4/5   iterations 740/2000   F1 0.524401271967426   accuracy 0.6330749354005168   precision 0.5258180349621533   recall 0.5453204662952681
deviation 4/5   iterations 750/2000   F1 0.5041828588704088   accuracy 0.627906976744186   precision 0.5058423340980761   recall 0.5186603533344335
deviation 4/5   iterations 760/2000   F1 0.5305753506206211   accuracy 0.6550387596899225   precision 0.5296654458492207   recall 0.550573883769199
deviation 4/5   iterations 770/2000   F1 0.5103043109900013   accuracy 0.5968992248062015   precision 0.5285785141409878   recall 0.5430911487341157
deviation 4/5   iterations 780/2000   F1 0.5616382013088465   accuracy 0.7093023255813954   precision 0.5803805807964132   recall 0.5733559638682081
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deviation 4/5   iterations 790/2000   F1 0.5540832311190855   accuracy 0.6744186046511628   precision 0.5492674356414773   recall 0.5684290019437305
deviation 4/5   iterations 800/2000   F1 0.5287593907934621   accuracy 0.6666666666666666   precision 0.5253517211621839   recall 0.5342625838899352
deviation 4/5   iterations 810/2000   F1 0.5255002324244578   accuracy 0.6253229974160207   precision 0.5277537558148402   recall 0.5509449379672969
deviation 4/5   iterations 820/2000   F1 0.5373853317451233   accuracy 0.6770025839793282   precision 0.5360312645787207   recall 0.5535049331926181
deviation 4/5   iterations 830/2000   F1 0.525131210971919   accuracy 0.6602067183462532   precision 0.5235974920341248   recall 0.5351207389536977
deviation 4/5   iterations 840/2000   F1 0.5382008204352228   accuracy 0.665374677002584   precision 0.5377448357620201   recall 0.5460817176776008
deviation 4/5   iterations 850/2000   F1 0.525366253329401   accuracy 0.6511627906976745   precision 0.5236350590752156   recall 0.5415778280441713
deviation 4/5   iterations 860/2000   F1 0.5134019033605829   accuracy 0.627906976744186   precision 0.5159710257234639   recall 0.5326302241598587
deviation 4/5   iterations 870/2000   F1 0.5339529053329167   accuracy 0.6821705426356589   precision 0.5399166772406209   recall 0.5466302236679618
deviation 4/5   iterations 880/2000   F1 0.534715283409565   accuracy 0.665374677002584   precision 0.5304076235924035   recall 0.5424874273212141
deviation 4/5   iterations 890/2000   F1 0.5195139639730552   accuracy 0.6317829457364341   precision 0.5222598087922802   recall 0.5351843986056691
deviation 4/5   iterations 900/2000   F1 0.5425175425175425   accuracy 0.686046511627907   precision 0.5427618693337617   recall 0.5497775027527778
deviation 4/5   iterations 910/2000   F1 0.5230984701572936   accuracy 0.648578811369509   precision 0.5212448370343107   recall 0.5326137866064519
deviation 4/5   iterations 920/2000   F1 0.5282572317139719   accuracy 0.6718346253229974   precision 0.5244709217311957   recall 0.5368988231285641
deviation 4/5   iterations 930/2000   F1 0.5122546472470931   accuracy 0.6266149870801033   precision 0.5123603043779582   recall 0.5312083552944785
deviation 4/5   iterations 940/2000   F1 0.5162283999089144   accuracy 0.6356589147286822   precision 0.5144023542941883   recall 0.5325329515557837
deviation 4/5   iterations 950/2000   F1 0.5295030313509209   accuracy 0.6421188630490956   precision 0.5269957793003133   recall 0.5483743259680797
deviation 4/5   iterations 960/2000   F1 0.5309535340813437   accuracy 0.6808785529715762   precision 0.5301495011583004   recall 0.5348327743335433
deviation 4/5   iterations 970/2000   F1 0.537819212360291   accuracy 0.686046511627907   precision 0.5393461799441343   recall 0.5402665539894925
deviation 4/5   iterations 980/2000   F1 0.5037894661650555   accuracy 0.6085271317829457   precision 0.5145138966820034   recall 0.5229140314317174
deviation 4/5   iterations 990/2000   F1 0.5262451838563967   accuracy 0.661498708010336   precision 0.5256601282991291   recall 0.5400690164087775
deviation 4/5   iterations 1000/2000   F1 0.5231740007831088   accuracy 0.6408268733850129   precision 0.5212121212121211   recall 0.5356443631612211
deviation 4/5   iterations 1010/2000   F1 0.5214973299536235   accuracy 0.6537467700258398   precision 0.5177504559023777   recall 0.5300622356105616
deviation 4/5   iterations 1020/2000   F1 0.5268842369988679   accuracy 0.6459948320413437   precision 0.5266349965328448   recall 0.5383484841665369
deviation 4/5   iterations 1030/2000   F1 0.555682031523858   accuracy 0.6757105943152455   precision 0.5519353420512257   recall 0.5697151072757366
deviation 4/5   iterations 1040/2000   F1 0.5202195174753834   accuracy 0.6421188630490956   precision 0.5228018194952367   recall 0.5435759950725052
deviation 4/5   iterations 1050/2000   F1 0.5005929102702705   accuracy 0.5981912144702842   precision 0.5255065700142515   recall 0.5264236335453655
deviation 4/5   iterations 1060/2000   F1 0.5432464692333058   accuracy 0.6886304909560723   precision 0.5440478459346384   recall 0.5442464504927536
deviation 4/5   iterations 1070/2000   F1 0.5324352204855349   accuracy 0.6770025839793282   precision 0.5300724637681159   recall 0.5354834309051747
deviation 4/5   iterations 1080/2000   F1 0.518850983099486   accuracy 0.6356589147286822   precision 0.5155429625940049   recall 0.5326687150891575
deviation 4/5   iterations 1090/2000   F1 0.5181143646732211   accuracy 0.6563307493540051   precision 0.5145285542721565   recall 0.5252600515229168
deviation 4/5   iterations 1100/2000   F1 0.5175310070046912   accuracy 0.6472868217054264   precision 0.5140563075249748   recall 0.5265972321455582
deviation 4/5   iterations 1110/2000   F1 0.4888686978669788   accuracy 0.5956072351421189   precision 0.49606442869057554   recall 0.5044722852601712
deviation 4/5   iterations 1120/2000   F1 0.5263938509785241   accuracy 0.6757105943152455   precision 0.5282592543305166   recall 0.5336542714396731
deviation 4/5   iterations 1130/2000   F1 0.5044582718583617   accuracy 0.6227390180878553   precision 0.5144644793717933   recall 0.5183643134074933
deviation 4/5   iterations 1140/2000   F1 0.5156195292129181   accuracy 0.6395348837209303   precision 0.5131743575274103   recall 0.5253046501715614
deviation 4/5   iterations 1150/2000   F1 0.531627537956652   accuracy 0.6666666666666666   precision 0.5279555684590009   recall 0.5403150058302075
deviation 4/5   iterations 1160/2000   F1 0.5352814845213704   accuracy 0.6679586563307494   precision 0.5327241767992902   recall 0.5402791383508289
deviation 4/5   iterations 1170/2000   F1 0.5077689496294148   accuracy 0.6550387596899225   precision 0.5095825974858234   recall 0.5072065349481651
deviation 4/5   iterations 1180/2000   F1 0.47774862763253356   accuracy 0.5736434108527132   precision 0.4941964442454884   recall 0.49362378695159953
deviation 4/5   iterations 1190/2000   F1 0.4948400412796698   accuracy 0.6162790697674418   precision 0.4955702479338843   recall 0.5056420569847756
deviation 4/5   iterations 1200/2000   F1 0.5134999889575784   accuracy 0.6162790697674418   precision 0.5146061368814845   recall 0.5338533257023733
deviation 4/5   iterations 1210/2000   F1 0.4920478847815308   accuracy 0.5904392764857881   precision 0.4988522230095264   recall 0.5154665080135327
deviation 4/5   iterations 1220/2000   F1 0.5080340728757978   accuracy 0.6395348837209303   precision 0.5088587108628725   recall 0.5255583459771321
deviation 4/5   iterations 1230/2000   F1 0.5263766188531079   accuracy 0.6770025839793282   precision 0.5290227481313362   recall 0.5250399686694492
deviation 4/5   iterations 1240/2000   F1 0.5277122433943983   accuracy 0.6550387596899225   precision 0.5239726975004958   recall 0.5352820401323891
deviation 4/5   iterations 1250/2000   F1 0.5366984336950966   accuracy 0.6627906976744186   precision 0.5321879793897448   recall 0.5437632028191594
deviation 4/5   iterations 1260/2000   F1 0.5395850922950386   accuracy 0.6795865633074936   precision 0.5374055709421564   recall 0.5421251042923821
deviation 4/5   iterations 1270/2000   F1 0.5301970834937545   accuracy 0.665374677002584   precision 0.5286115433325215   recall 0.532908596791242
deviation 4/5   iterations 1280/2000   F1 0.5248611366295634   accuracy 0.6550387596899225   precision 0.5250081470377371   recall 0.53102676337031
deviation 4/5   iterations 1290/2000   F1 0.5126984126984128   accuracy 0.6447028423772609   precision 0.5121370704855547   recall 0.5175653089411518
deviation 4/5   iterations 1300/2000   F1 0.5314281503936676   accuracy 0.661498708010336   precision 0.5270083834294361   recall 0.5412051751812784
deviation 4/5   iterations 1310/2000   F1 0.5328631145521437   accuracy 0.6679586563307494   precision 0.5307853998379019   recall 0.5436019016404678
deviation 4/5   iterations 1320/2000   F1 0.5117988014539738   accuracy 0.6382428940568475   precision 0.512889638210975   recall 0.5293242673462714
deviation 4/5   iterations 1330/2000   F1 0.5091608342709665   accuracy 0.6253229974160207   precision 0.5120510345027025   recall 0.5212759329049405
deviation 4/5   iterations 1340/2000   F1 0.5384750039872821   accuracy 0.6589147286821705   precision 0.5332858206469563   recall 0.5504662813310631
deviation 4/5   iterations 1350/2000   F1 0.5248005105627445   accuracy 0.6666666666666666   precision 0.5309457971982505   recall 0.5331943068841212
deviation 4/5   iterations 1360/2000   F1 0.5266215009924795   accuracy 0.6770025839793282   precision 0.5238354927481129   recall 0.535211903838427
deviation 4/5   iterations 1370/2000   F1 0.5208515585762298   accuracy 0.6498708010335917   precision 0.5196118058187024   recall 0.5347645236442113
deviation 4/5   iterations 1380/2000   F1 0.5288669925892301   accuracy 0.6731266149870802   precision 0.5291082393664922   recall 0.538388573760631
deviation 4/5   iterations 1390/2000   F1 0.5110714793972865   accuracy 0.6679586563307494   precision 0.5191759795500298   recall 0.524104831747089
deviation 4/5   iterations 1400/2000   F1 0.5244402077338535   accuracy 0.6472868217054264   precision 0.520066707906308   recall 0.5344467992640239
deviation 4/5   iterations 1410/2000   F1 0.5185421192205658   accuracy 0.6459948320413437   precision 0.5160648724340743   recall 0.5310241399203898
deviation 4/5   iterations 1420/2000   F1 0.5257356561196943   accuracy 0.6795865633074936   precision 0.5295896191326108   recall 0.5296808515784027
deviation 4/5   iterations 1430/2000   F1 0.49808239815159805   accuracy 0.624031007751938   precision 0.5050197143987359   recall 0.5030866527968149
deviation 4/5   iterations 1440/2000   F1 0.5276749443983921   accuracy 0.6511627906976745   precision 0.5270163393278972   recall 0.5369330919431475
deviation 4/5   iterations 1450/2000   F1 0.535281024787523   accuracy 0.6692506459948321   precision 0.537162546061081   recall 0.5369205075818112
deviation 4/5   iterations 1460/2000   F1 0.49362852492607723   accuracy 0.6537467700258398   precision 0.4993052968321661   recall 0.48994976831247977
deviation 4/5   iterations 1470/2000   F1 0.5134767562932302   accuracy 0.6731266149870802   precision 0.5158468745425266   recall 0.5115849908822817
deviation 4/5   iterations 1480/2000   F1 0.4931562548352279   accuracy 0.6550387596899225   precision 0.5028643338419072   recall 0.49642366387900516
deviation 4/5   iterations 1490/2000   F1 0.5095571142606327   accuracy 0.6640826873385013   precision 0.510693722827614   recall 0.5101925128542897
deviation 4/5   iterations 1500/2000   F1 0.5148109087990701   accuracy 0.6447028423772609   precision 0.5132857842108943   recall 0.5210917175308516
deviation 4/5   iterations 1510/2000   F1 0.5122210720036807   accuracy 0.6382428940568475   precision 0.508400282233702   recall 0.5200848456497339
deviation 4/5   iterations 1520/2000   F1 0.5191018117470297   accuracy 0.6459948320413437   precision 0.5147592356085332   recall 0.5277013766307509
deviation 4/5   iterations 1530/2000   F1 0.5311804974355674   accuracy 0.6705426356589147   precision 0.5321588426210729   recall 0.5320863092068581
deviation 4/5   iterations 1540/2000   F1 0.4919770701872042   accuracy 0.6175710594315246   precision 0.4989264044198362   recall 0.4988248993927451
deviation 4/5   iterations 1550/2000   F1 0.4943573900298171   accuracy 0.6136950904392765   precision 0.4936004981891058   recall 0.5085113323608532
deviation 4/5   iterations 1560/2000   F1 0.5069660014781966   accuracy 0.627906976744186   precision 0.5041033756980153   recall 0.5221867619241333
deviation 4/5   iterations 1570/2000   F1 0.5229033215301221   accuracy 0.665374677002584   precision 0.5257139340953896   recall 0.5325013061911205
deviation 4/5   iterations 1580/2000   F1 0.5143655305033186   accuracy 0.6382428940568475   precision 0.513604521661655   recall 0.528595399173892
deviation 4/5   iterations 1590/2000   F1 0.5122879641714205   accuracy 0.6291989664082688   precision 0.510262663471842   recall 0.5298646980298466
deviation 4/5   iterations 1600/2000   F1 0.5070405359513446   accuracy 0.6266149870801033   precision 0.5042685731846753   recall 0.5207648930587533
deviation 4/5   iterations 1610/2000   F1 0.5027082097083194   accuracy 0.6136950904392765   precision 0.5038749692950134   recall 0.5184295717242601
deviation 4/5   iterations 1620/2000   F1 0.5064525020444838   accuracy 0.6304909560723514   precision 0.504904150102547   recall 0.5168593549641698
deviation 4/5   iterations 1630/2000   F1 0.5154916630301937   accuracy 0.624031007751938   precision 0.5144895661613927   recall 0.5360105393821234
deviation 4/5   iterations 1640/2000   F1 0.5204590597464056   accuracy 0.6537467700258398   precision 0.5233779476462602   recall 0.5225520773255306
deviation 4/5   iterations 1650/2000   F1 0.5240555025694156   accuracy 0.6408268733850129   precision 0.5186276343683751   recall 0.534643967922094
deviation 4/5   iterations 1660/2000   F1 0.5241635053786277   accuracy 0.6744186046511628   precision 0.5248412290969328   recall 0.5253153489282675
deviation 4/5   iterations 1670/2000   F1 0.518221682718533   accuracy 0.6511627906976745   precision 0.5168654846848607   recall 0.5293372206302527
deviation 4/5   iterations 1680/2000   F1 0.5172084815396917   accuracy 0.6447028423772609   precision 0.5172121575630347   recall 0.5319925208722086
deviation 4/5   iterations 1690/2000   F1 0.5209705033285067   accuracy 0.6447028423772609   precision 0.5187919713824054   recall 0.5355868112285952
deviation 4/5   iterations 1700/2000   F1 0.5095351359922732   accuracy 0.6498708010335917   precision 0.5085659597454144   recall 0.5106227176498086
deviation 4/5   iterations 1710/2000   F1 0.5085399539087655   accuracy 0.6421188630490956   precision 0.5086509976525341   recall 0.5118561490263844
deviation 4/5   iterations 1720/2000   F1 0.529427917098038   accuracy 0.6498708010335917   precision 0.5244850082998518   recall 0.5402917227121652
deviation 4/5   iterations 1730/2000   F1 0.5232784085383894   accuracy 0.6589147286821705   precision 0.5241029155138662   recall 0.5317659613767504
deviation 4/5   iterations 1740/2000   F1 0.5290911241110554   accuracy 0.661498708010336   precision 0.5259210952389972   recall 0.5376108848248916
deviation 4/5   iterations 1750/2000   F1 0.5164401289561468   accuracy 0.6421188630490956   precision 0.5130095253903921   recall 0.5281483879023213
deviation 4/5   iterations 1760/2000   F1 0.509438187339832   accuracy 0.6498708010335917   precision 0.5061613756990443   recall 0.5164714942900203
deviation 4/5   iterations 1770/2000   F1 0.507318338452064   accuracy 0.661498708010336   precision 0.5141613102550603   recall 0.5028898530613898
deviation 4/5   iterations 1780/2000   F1 0.5224254827493694   accuracy 0.6782945736434108   precision 0.5363910677104918   recall 0.5155610341934724
deviation 4/5   iterations 1790/2000   F1 0.5140533112168001   accuracy 0.6472868217054264   precision 0.516835009701751   recall 0.5172899286823337
deviation 4/5   iterations 1800/2000   F1 0.4930143490867523   accuracy 0.6046511627906976   precision 0.49978354978354983   recall 0.5067972767606034
deviation 4/5   iterations 1810/2000   F1 0.5094835245926327   accuracy 0.6447028423772609   precision 0.5062414282904261   recall 0.5147677685238314
deviation 4/5   iterations 1820/2000   F1 0.5222618325842489   accuracy 0.6563307493540051   precision 0.5190793249453174   recall 0.5280575919402372
deviation 4/5   iterations 1830/2000   F1 0.5183432330188319   accuracy 0.6550387596899225   precision 0.5152708415055722   recall 0.5238381826575367
deviation 4/5   iterations 1840/2000   F1 0.5211873732562012   accuracy 0.6511627906976745   precision 0.5176276826748399   recall 0.5279473660521808
deviation 4/5   iterations 1850/2000   F1 0.5201811771246437   accuracy 0.6498708010335917   precision 0.5179302399358835   recall 0.5296446151763791
deviation 4/5   iterations 1860/2000   F1 0.5265697636727081   accuracy 0.6459948320413437   precision 0.5215117435932092   recall 0.5374838524607838
deviation 4/5   iterations 1870/2000   F1 0.5072222933593316   accuracy 0.6524547803617571   precision 0.512623345172184   recall 0.5060920606289114
deviation 4/5   iterations 1880/2000   F1 0.5155483229424823   accuracy 0.6511627906976745   precision 0.5196051423324151   recall 0.5185721808222695
deviation 4/5   iterations 1890/2000   F1 0.5044638776774083   accuracy 0.6602067183462532   precision 0.5055203326838614   recall 0.5037903522465216
deviation 4/5   iterations 1900/2000   F1 0.5184133885406836   accuracy 0.6640826873385013   precision 0.5221679395569642   recall 0.5157197119222435
deviation 4/5   iterations 1910/2000   F1 0.5019226009730512   accuracy 0.6576227390180879   precision 0.5022017921938559   recall 0.5023364690938333
deviation 4/5   iterations 1920/2000   F1 0.5099215230474112   accuracy 0.6498708010335917   precision 0.5110818079039686   recall 0.5089613360049892
deviation 4/5   iterations 1930/2000   F1 0.538969027599134   accuracy 0.6718346253229974   precision 0.5390958416436124   recall 0.5398321270792583
deviation 4/5   iterations 1940/2000   F1 0.5278056037689066   accuracy 0.6679586563307494   precision 0.5289514866979655   recall 0.5272417809978439
deviation 4/5   iterations 1950/2000   F1 0.5253117199210501   accuracy 0.6795865633074936   precision 0.5338293363280684   recall 0.5195089164094251
deviation 4/5   iterations 1960/2000   F1 0.5182447113961518   accuracy 0.6576227390180879   precision 0.5193147887838998   recall 0.5175103804584462
deviation 4/5   iterations 1970/2000   F1 0.5127923214509787   accuracy 0.6537467700258398   precision 0.5133993896065889   recall 0.5142952196069432
deviation 4/5   iterations 1980/2000   F1 0.5378409530814072   accuracy 0.6459948320413437   precision 0.5311652439500915   recall 0.5515894868195826
deviation 4/5   iterations 1990/2000   F1 0.5220476054693335   accuracy 0.6498708010335917   precision 0.522657092407951   recall 0.533035260232705
deviation 4/5   iterations 2000/2000   F1 0.5141004386630018   accuracy 0.6576227390180879   precision 0.5187486307968235   recall 0.5122547084572401

deviation 5/5   iterations 10/2000   F1 0.40432230209136816   accuracy 0.6227390180878553   precision 0.43997765772975855   recall 0.41031756943267644
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deviation 5/5   iterations 20/2000   F1 0.5034569796731196   accuracy 0.603359173126615   precision 0.5018936391690397   recall 0.525261937127547
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deviation 5/5   iterations 30/2000   F1 0.510978651691471   accuracy 0.58656330749354   precision 0.5220127906208489   recall 0.5547040137718003
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deviation 5/5   iterations 40/2000   F1 0.5222318535267808   accuracy 0.6447028423772609   precision 0.5178940104313944   recall 0.5323998114723301
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deviation 5/5   iterations 50/2000   F1 0.5173615906310846   accuracy 0.648578811369509   precision 0.5139170411761605   recall 0.5280869827776251
deviation 5/5   iterations 60/2000   F1 0.5464876399267181   accuracy 0.6201550387596899   precision 0.5639715743330735   recall 0.6003401958684107
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deviation 5/5   iterations 70/2000   F1 0.5537477983043952   accuracy 0.627906976744186   precision 0.568616011060972   recall 0.6080246086161145
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deviation 5/5   iterations 80/2000   F1 0.5629544178123276   accuracy 0.661498708010336   precision 0.5709650874517141   recall 0.5945085946268959
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deviation 5/5   iterations 90/2000   F1 0.5570985041132223   accuracy 0.6589147286821705   precision 0.5657055320787984   recall 0.5870022895339351
deviation 5/5   iterations 100/2000   F1 0.5398504283529291   accuracy 0.6201550387596899   precision 0.5664195330345002   recall 0.6007474864685323
deviation 5/5   iterations 110/2000   F1 0.5421242711105295   accuracy 0.6214470284237726   precision 0.5746302868973676   recall 0.6023051188672861
deviation 5/5   iterations 120/2000   F1 0.5369867690994451   accuracy 0.6124031007751938   precision 0.5556985197917966   recall 0.589197256297694
deviation 5/5   iterations 130/2000   F1 0.5559154868297794   accuracy 0.648578811369509   precision 0.5588635677543657   recall 0.5926306143980343
deviation 5/5   iterations 140/2000   F1 0.5303674268920626   accuracy 0.5968992248062015   precision 0.5538298673384702   recall 0.5860690382162049
deviation 5/5   iterations 150/2000   F1 0.5208869610492329   accuracy 0.5839793281653747   precision 0.5656555394605446   recall 0.5919226928336121
deviation 5/5   iterations 160/2000   F1 0.5354144224838269   accuracy 0.6136950904392765   precision 0.572511923406099   recall 0.6000121416541623
deviation 5/5   iterations 170/2000   F1 0.567859553280035   accuracy 0.6834625322997416   precision 0.5620524280767688   recall 0.5839949960972083
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deviation 5/5   iterations 180/2000   F1 0.5589919665262131   accuracy 0.6627906976744186   precision 0.5550816964913882   recall 0.5843508424840497
deviation 5/5   iterations 190/2000   F1 0.5387705492032879   accuracy 0.6175710594315246   precision 0.569908275208674   recall 0.5966997081985843
deviation 5/5   iterations 200/2000   F1 0.5013386994646141   accuracy 0.5788113695090439   precision 0.5778878023629398   recall 0.5799112683650717
deviation 5/5   iterations 210/2000   F1 0.5150911958694313   accuracy 0.5801033591731266   precision 0.5697590665996382   recall 0.5891148225822306
deviation 5/5   iterations 220/2000   F1 0.5410957287739544   accuracy 0.624031007751938   precision 0.5487770604494424   recall 0.5829900098207208
deviation 5/5   iterations 230/2000   F1 0.5497803924973822   accuracy 0.6589147286821705   precision 0.5449134539237992   recall 0.5705564558634474
deviation 5/5   iterations 240/2000   F1 0.5558368614449111   accuracy 0.6873385012919897   precision 0.5515623493797469   recall 0.5663732829827707
deviation 5/5   iterations 250/2000   F1 0.5631041395711325   accuracy 0.6757105943152455   precision 0.557112844674442   recall 0.5807016236449574
deviation 5/5   iterations 260/2000   F1 0.5202290259583237   accuracy 0.6136950904392765   precision 0.5347584465694702   recall 0.5548298163937582
deviation 5/5   iterations 270/2000   F1 0.5403029525367821   accuracy 0.6472868217054264   precision 0.5534665207079   recall 0.5675921624105701
deviation 5/5   iterations 280/2000   F1 0.5228376981673911   accuracy 0.5981912144702842   precision 0.560754597365846   recall 0.5846433161587545
deviation 5/5   iterations 290/2000   F1 0.5367014912721437   accuracy 0.6227390180878553   precision 0.5585491195565758   recall 0.5808392727829614
deviation 5/5   iterations 300/2000   F1 0.537666270010963   accuracy 0.6330749354005168   precision 0.5380784404665281   recall 0.5681402994782859
deviation 5/5   iterations 310/2000   F1 0.5269550778782465   accuracy 0.6253229974160207   precision 0.5422545113221718   recall 0.5611347043974514
deviation 5/5   iterations 320/2000   F1 0.5282508005291248   accuracy 0.6111111111111112   precision 0.5611402971135043   recall 0.5845205059093619
deviation 5/5   iterations 330/2000   F1 0.5237876326636699   accuracy 0.6149870801033591   precision 0.5445973424126354   recall 0.5608463708546519
deviation 5/5   iterations 340/2000   F1 0.53573125526843   accuracy 0.6395348837209303   precision 0.5413855702533947   recall 0.5623658812467519
deviation 5/5   iterations 350/2000   F1 0.524879526124293   accuracy 0.6136950904392765   precision 0.5426946546517318   recall 0.5609501201007175
deviation 5/5   iterations 360/2000   F1 0.52934439178515   accuracy 0.6085271317829457   precision 0.5606910294952543   recall 0.5803369641060402
deviation 5/5   iterations 370/2000   F1 0.5325291510775426   accuracy 0.6343669250645995   precision 0.5344586100314271   recall 0.5594581149413753
deviation 5/5   iterations 380/2000   F1 0.5494342383403447   accuracy 0.6459948320413437   precision 0.5550921524270668   recall 0.5825304141878139
deviation 5/5   iterations 390/2000   F1 0.5668885760434609   accuracy 0.6692506459948321   precision 0.5612050640264111   recall 0.5927999908835115
deviation 5/5   iterations 400/2000   F1 0.5479260582610547   accuracy 0.6408268733850129   precision 0.5534903838526501   recall 0.583149056472137
deviation 5/5   iterations 410/2000   F1 0.5284513858547631   accuracy 0.6072351421188631   precision 0.5600974449440131   recall 0.5751850413508997
deviation 5/5   iterations 420/2000   F1 0.5617050013492118   accuracy 0.6757105943152455   precision 0.5553735399771206   recall 0.5779719649943239
deviation 5/5   iterations 430/2000   F1 0.5076509727002652   accuracy 0.5904392764857881   precision 0.5382981931202485   recall 0.5584622287567987
deviation 5/5   iterations 440/2000   F1 0.5416369780746213   accuracy 0.6343669250645995   precision 0.5494879529147442   recall 0.577158039656561
deviation 5/5   iterations 450/2000   F1 0.5585263782159507   accuracy 0.648578811369509   precision 0.5575629025593201   recall 0.5951566277486069
deviation 5/5   iterations 460/2000   F1 0.5516463220900082   accuracy 0.6550387596899225   precision 0.5500202022620547   recall 0.577531061442099
deviation 5/5   iterations 470/2000   F1 0.5398046398046398   accuracy 0.6459948320413437   precision 0.5406287041675853   recall 0.5638300942335013
deviation 5/5   iterations 480/2000   F1 0.5057472096084662   accuracy 0.5684754521963824   precision 0.5690483854495908   recall 0.5776221443440183
deviation 5/5   iterations 490/2000   F1 0.5249509015966617   accuracy 0.6059431524547804   precision 0.5432965727083374   recall 0.5627766561162989
deviation 5/5   iterations 500/2000   F1 0.538674903297799   accuracy 0.6356589147286822   precision 0.5433332315993233   recall 0.5707982231701622
deviation 5/5   iterations 510/2000   F1 0.48399468798984707   accuracy 0.5503875968992248   precision 0.5388245584926311   recall 0.5450324196923036
deviation 5/5   iterations 520/2000   F1 0.5197504224461089   accuracy 0.6149870801033591   precision 0.5299701895957397   recall 0.5481984728406117
deviation 5/5   iterations 530/2000   F1 0.4974033592891891   accuracy 0.5594315245478036   precision 0.5453731566398338   recall 0.5478147522983676
deviation 5/5   iterations 540/2000   F1 0.5692168458630863   accuracy 0.6886304909560723   precision 0.5632765040172448   recall 0.5786459046839977
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deviation 5/5   iterations 550/2000   F1 0.5300776522012306   accuracy 0.6253229974160207   precision 0.5455281636719703   recall 0.5601343091583243
deviation 5/5   iterations 560/2000   F1 0.5000261804894081   accuracy 0.58656330749354   precision 0.5378080465092349   recall 0.5450072509696312
deviation 5/5   iterations 570/2000   F1 0.528210516128717   accuracy 0.6253229974160207   precision 0.5279248860335913   recall 0.5560648464351292
deviation 5/5   iterations 580/2000   F1 0.5024770268394988   accuracy 0.5594315245478036   precision 0.5575658481978775   recall 0.5655146770135531
deviation 5/5   iterations 590/2000   F1 0.5482240511206301   accuracy 0.6602067183462532   precision 0.5536196955285798   recall 0.5691307338059971
deviation 5/5   iterations 600/2000   F1 0.5406253112266531   accuracy 0.6421188630490956   precision 0.5431763658492262   recall 0.5661421324499522
deviation 5/5   iterations 610/2000   F1 0.48565621415866067   accuracy 0.562015503875969   precision 0.5267099715272335   recall 0.526448802268038
deviation 5/5   iterations 620/2000   F1 0.5295222958934499   accuracy 0.6356589147286822   precision 0.5294531017032317   recall 0.5520979032158495
deviation 5/5   iterations 630/2000   F1 0.5303741954747512   accuracy 0.6266149870801033   precision 0.5331855676573455   recall 0.5587586376063839
deviation 5/5   iterations 640/2000   F1 0.5244859348616427   accuracy 0.6136950904392765   precision 0.5403649885880277   recall 0.5627472652789108
deviation 5/5   iterations 650/2000   F1 0.5132918754820438   accuracy 0.624031007751938   precision 0.5188459129681743   recall 0.5300259992085379
deviation 5/5   iterations 660/2000   F1 0.5365143436639666   accuracy 0.6459948320413437   precision 0.5391276071909695   recall 0.5551837771759693
deviation 5/5   iterations 670/2000   F1 0.5195043244832354   accuracy 0.6175710594315246   precision 0.5333528773192158   recall 0.5453291974645341
deviation 5/5   iterations 680/2000   F1 0.5120881803011277   accuracy 0.6059431524547804   precision 0.5227217955248812   recall 0.539888941166594
deviation 5/5   iterations 690/2000   F1 0.5310719873688016   accuracy 0.6291989664082688   precision 0.530445017520631   recall 0.5582796120475051
deviation 5/5   iterations 700/2000   F1 0.5225596227228118   accuracy 0.6046511627906976   precision 0.5433558585073737   recall 0.562219418956672
deviation 5/5   iterations 710/2000   F1 0.5594738781466488   accuracy 0.6718346253229974   precision 0.5550739491404048   recall 0.5790120809049001
deviation 5/5   iterations 720/2000   F1 0.5090224907131561   accuracy 0.5930232558139535   precision 0.5291502336721017   recall 0.54180889659418
deviation 5/5   iterations 730/2000   F1 0.5396074053384675   accuracy 0.627906976744186   precision 0.5443738773049874   recall 0.5734893908914966
deviation 5/5   iterations 740/2000   F1 0.5291071355802639   accuracy 0.6627906976744186   precision 0.5293238790843441   recall 0.5359136357006936
deviation 5/5   iterations 750/2000   F1 0.5442489315845437   accuracy 0.6576227390180879   precision 0.5459737294770873   recall 0.5622854151187288
deviation 5/5   iterations 760/2000   F1 0.5233730695949826   accuracy 0.6124031007751938   precision 0.5302819746361295   recall 0.5573916972237095
deviation 5/5   iterations 770/2000   F1 0.5251004880849841   accuracy 0.6227390180878553   precision 0.5346369035465263   recall 0.5514918452928627
deviation 5/5   iterations 780/2000   F1 0.5386677877428999   accuracy 0.6408268733850129   precision 0.5487897294955517   recall 0.5657885405903861
deviation 5/5   iterations 790/2000   F1 0.5409904621578662   accuracy 0.6550387596899225   precision 0.5416600230312695   recall 0.5582376368487808
deviation 5/5   iterations 800/2000   F1 0.5295813753993913   accuracy 0.6253229974160207   precision 0.5323841484564446   recall 0.5579298733800094
deviation 5/5   iterations 810/2000   F1 0.4822667598462537   accuracy 0.5658914728682171   precision 0.5204951298701298   recall 0.5295960813528541
deviation 5/5   iterations 820/2000   F1 0.5539355044984022   accuracy 0.6770025839793282   precision 0.5513882766221242   recall 0.5642878042617779
deviation 5/5   iterations 830/2000   F1 0.5435955948775856   accuracy 0.6434108527131783   precision 0.542358569945768   recall 0.5713619369717796
deviation 5/5   iterations 840/2000   F1 0.529158467912706   accuracy 0.6421188630490956   precision 0.5261804088813936   recall 0.5475096942623264
deviation 5/5   iterations 850/2000   F1 0.5590940845940339   accuracy 0.6782945736434108   precision 0.5541014485900285   recall 0.571168990428425
deviation 5/5   iterations 860/2000   F1 0.5311549145590994   accuracy 0.6395348837209303   precision 0.5338541243217092   recall 0.5519224190110266
deviation 5/5   iterations 870/2000   F1 0.5438118201429302   accuracy 0.6602067183462532   precision 0.5427669880759126   recall 0.5574832310310839
deviation 5/5   iterations 880/2000   F1 0.5428860284912947   accuracy 0.7041343669250646   precision 0.5651864610130318   recall 0.5522230499753272
deviation 5/5   iterations 890/2000   F1 0.5331896050495717   accuracy 0.6343669250645995   precision 0.5318151751858474   recall 0.5583219561688745
deviation 5/5   iterations 900/2000   F1 0.5176420121849018   accuracy 0.6046511627906976   precision 0.5333052749719417   recall 0.5506397979484458
deviation 5/5   iterations 910/2000   F1 0.5413255360623782   accuracy 0.648578811369509   precision 0.5487340595784054   recall 0.5628937275689908
deviation 5/5   iterations 920/2000   F1 0.5333540652405504   accuracy 0.6563307493540051   precision 0.5324810184623269   recall 0.5447571214162957
deviation 5/5   iterations 930/2000   F1 0.5532928141527069   accuracy 0.6782945736434108   precision 0.5476813017655545   recall 0.5651165684881526
deviation 5/5   iterations 940/2000   F1 0.5325365902253982   accuracy 0.6511627906976745   precision 0.5295557898491394   recall 0.5487664087569447
deviation 5/5   iterations 950/2000   F1 0.5391143196798861   accuracy 0.6524547803617571   precision 0.5350793469512062   recall 0.5574447401017849
deviation 5/5   iterations 960/2000   F1 0.5195874079133488   accuracy 0.6253229974160207   precision 0.5296480450791486   recall 0.538907975853439
deviation 5/5   iterations 970/2000   F1 0.5356714732036204   accuracy 0.686046511627907   precision 0.5402172974534515   recall 0.5469799623354574
deviation 5/5   iterations 980/2000   F1 0.5501332780934475   accuracy 0.6731266149870802   precision 0.5474885844748859   recall 0.5616835793104573
deviation 5/5   iterations 990/2000   F1 0.5030653806141743   accuracy 0.5981912144702842   precision 0.5121693121693122   recall 0.5294748697682566
deviation 5/5   iterations 1000/2000   F1 0.5247415216029301   accuracy 0.648578811369509   precision 0.5249711770904358   recall 0.5362759587295255
deviation 5/5   iterations 1010/2000   F1 0.5681095990714605   accuracy 0.6989664082687338   precision 0.5659701292612686   recall 0.5711525528750183
deviation 5/5   iterations 1020/2000   F1 0.5397383652039612   accuracy 0.6731266149870802   precision 0.5352873659751967   recall 0.5474421814182846
deviation 5/5   iterations 1030/2000   F1 0.5147297664177758   accuracy 0.6111111111111112   precision 0.5173288508629605   recall 0.5407959169937165
deviation 5/5   iterations 1040/2000   F1 0.5603559160453969   accuracy 0.6782945736434108   precision 0.5543657545945876   recall 0.5704401222560457
deviation 5/5   iterations 1050/2000   F1 0.5463381750162969   accuracy 0.6808785529715762   precision 0.5426427854039061   recall 0.5516680673429756
deviation 5/5   iterations 1060/2000   F1 0.5497902921313326   accuracy 0.6589147286821705   precision 0.5450514868985138   recall 0.567826797212814
deviation 5/5   iterations 1070/2000   F1 0.5159228937284183   accuracy 0.6266149870801033   precision 0.5158091994454499   recall 0.5364640272956847
deviation 5/5   iterations 1080/2000   F1 0.5360130966447035   accuracy 0.6472868217054264   precision 0.5366743690278746   recall 0.5550121461632168
deviation 5/5   iterations 1090/2000   F1 0.5596473314970821   accuracy 0.6808785529715762   precision 0.5583178148470684   recall 0.5690285832247266
deviation 5/5   iterations 1100/2000   F1 0.5491659774773042   accuracy 0.6692506459948321   precision 0.5483859016301764   recall 0.5642671445936559
deviation 5/5   iterations 1110/2000   F1 0.5308250082633461   accuracy 0.6447028423772609   precision 0.5323953695778175   recall 0.547573722836943
deviation 5/5   iterations 1120/2000   F1 0.5419668933421965   accuracy 0.665374677002584   precision 0.5427711440935411   recall 0.5536597577293189
deviation 5/5   iterations 1130/2000   F1 0.5260997287658548   accuracy 0.6408268733850129   precision 0.5233764040455524   recall 0.5440870349186923
deviation 5/5   iterations 1140/2000   F1 0.5222817459103583   accuracy 0.6343669250645995   precision 0.5192677743454327   recall 0.5391642951089302
deviation 5/5   iterations 1150/2000   F1 0.5426079436141038   accuracy 0.6563307493540051   precision 0.5371037294457542   recall 0.5587269922417207
deviation 5/5   iterations 1160/2000   F1 0.5115649966594277   accuracy 0.6046511627906976   precision 0.5209210769907863   recall 0.5410609674184736
deviation 5/5   iterations 1170/2000   F1 0.5435689953454256   accuracy 0.6873385012919897   precision 0.5408119658119658   recall 0.5480123718618928
deviation 5/5   iterations 1180/2000   F1 0.5403936363731194   accuracy 0.661498708010336   precision 0.5379798265851379   recall 0.5528526779561914
deviation 5/5   iterations 1190/2000   F1 0.5384843127233433   accuracy 0.661498708010336   precision 0.5348008426595304   recall 0.5493262693664919
deviation 5/5   iterations 1200/2000   F1 0.5576426376634329   accuracy 0.6782945736434108   precision 0.552798699085351   recall 0.5685750953111653
deviation 5/5   iterations 1210/2000   F1 0.5482914830740918   accuracy 0.6666666666666666   precision 0.5426484340059902   recall 0.5632706025465992
deviation 5/5   iterations 1220/2000   F1 0.5579067143849586   accuracy 0.6937984496124031   precision 0.5561316523885833   recall 0.5653793643856343
deviation 5/5   iterations 1230/2000   F1 0.5388128275830133   accuracy 0.6886304909560723   precision 0.53754712285836   recall 0.541652555375494
deviation 5/5   iterations 1240/2000   F1 0.5719428371793998   accuracy 0.6795865633074936   precision 0.563925899344423   recall 0.5861033890135984
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deviation 5/5   iterations 1250/2000   F1 0.5416021310301585   accuracy 0.6576227390180879   precision 0.537845589500038   recall 0.5568260978174618
deviation 5/5   iterations 1260/2000   F1 0.5214239103632771   accuracy 0.6149870801033591   precision 0.5261928150550479   recall 0.5516569996636246
deviation 5/5   iterations 1270/2000   F1 0.5113817337331859   accuracy 0.6046511627906976   precision 0.5181625694329869   recall 0.5401284539460335
deviation 5/5   iterations 1280/2000   F1 0.5554181871456058   accuracy 0.6782945736434108   precision 0.5559705828643525   recall 0.5683714500111047
deviation 5/5   iterations 1290/2000   F1 0.5456125292839408   accuracy 0.6602067183462532   precision 0.552750319069521   recall 0.5612633354263544
deviation 5/5   iterations 1300/2000   F1 0.5601191930539567   accuracy 0.6821705426356589   precision 0.5562958780350086   recall 0.5683996111063424
deviation 5/5   iterations 1310/2000   F1 0.5230181981218408   accuracy 0.6330749354005168   precision 0.5311107145450517   recall 0.5405399666608705
deviation 5/5   iterations 1320/2000   F1 0.5364151252413975   accuracy 0.665374677002584   precision 0.5378171963537817   recall 0.5454886130385953
deviation 5/5   iterations 1330/2000   F1 0.5207496715522524   accuracy 0.6369509043927648   precision 0.5210398990469396   recall 0.5343621110212853
deviation 5/5   iterations 1340/2000   F1 0.5473574625061152   accuracy 0.7041343669250646   precision 0.5633088742743474   recall 0.5523588135087011
deviation 5/5   iterations 1350/2000   F1 0.5317920373177366   accuracy 0.6679586563307494   precision 0.5526630883947291   recall 0.5459921514576666
deviation 5/5   iterations 1360/2000   F1 0.5685305846306786   accuracy 0.6976744186046512   precision 0.5713873222119099   recall 0.5761725652888554
deviation 5/5   iterations 1370/2000   F1 0.5537392641054757   accuracy 0.6679586563307494   precision 0.5473090981402332   recall 0.569287157007493
deviation 5/5   iterations 1380/2000   F1 0.5379647666209239   accuracy 0.6511627906976745   precision 0.5331389476645773   recall 0.5534289761191453
deviation 5/5   iterations 1390/2000   F1 0.5096151892993382   accuracy 0.6382428940568475   precision 0.5077459314219607   recall 0.5216104637611795
deviation 5/5   iterations 1400/2000   F1 0.5496726229786592   accuracy 0.6666666666666666   precision 0.5438119987947898   recall 0.5624738526075329
deviation 5/5   iterations 1410/2000   F1 0.540476148293818   accuracy 0.6718346253229974   precision 0.5357688199915578   recall 0.5502077075482967
deviation 5/5   iterations 1420/2000   F1 0.5325109702689018   accuracy 0.6692506459948321   precision 0.528246265295294   recall 0.5434302706277153
deviation 5/5   iterations 1430/2000   F1 0.54371410961123   accuracy 0.6925064599483204   precision 0.5436133761634133   recall 0.5446640709269363
deviation 5/5   iterations 1440/2000   F1 0.5442721361392125   accuracy 0.689922480620155   precision 0.5482211275314723   recall 0.548397978008767
deviation 5/5   iterations 1450/2000   F1 0.5409791256006259   accuracy 0.661498708010336   precision 0.5366024767580139   recall 0.5536494278952578
deviation 5/5   iterations 1460/2000   F1 0.503470215573475   accuracy 0.6253229974160207   precision 0.5057718737743233   recall 0.515155629197981
deviation 5/5   iterations 1470/2000   F1 0.5166902150519078   accuracy 0.6317829457364341   precision 0.5209268284964181   recall 0.5318616353160303
deviation 5/5   iterations 1480/2000   F1 0.5182448518371281   accuracy 0.6408268733850129   precision 0.5149172876697848   recall 0.5293882959208879
deviation 5/5   iterations 1490/2000   F1 0.5346087491183971   accuracy 0.6666666666666666   precision 0.5334079061659324   recall 0.5429767827141541
deviation 5/5   iterations 1500/2000   F1 0.5161480837434972   accuracy 0.6395348837209303   precision 0.536490422741414   recall 0.5316786496840916
deviation 5/5   iterations 1510/2000   F1 0.5372060382282492   accuracy 0.6744186046511628   precision 0.5338797286420606   recall 0.5436762600491454
deviation 5/5   iterations 1520/2000   F1 0.5429801812894333   accuracy 0.6679586563307494   precision 0.5449707165424679   recall 0.5532486139371269
deviation 5/5   iterations 1530/2000   F1 0.5362641456501681   accuracy 0.6589147286821705   precision 0.5324696259169517   recall 0.5471435180414241
deviation 5/5   iterations 1540/2000   F1 0.5115608939562462   accuracy 0.6253229974160207   precision 0.5122507522437334   recall 0.5273962366118997
deviation 5/5   iterations 1550/2000   F1 0.5175720482886262   accuracy 0.6253229974160207   precision 0.5168883287162856   recall 0.5385006852533175
deviation 5/5   iterations 1560/2000   F1 0.5354563503734774   accuracy 0.6705426356589147   precision 0.5351908022800972   recall 0.5458525347322224
deviation 5/5   iterations 1570/2000   F1 0.5350512881129342   accuracy 0.6834625322997416   precision 0.5525766639640123   recall 0.5438646975379496
deviation 5/5   iterations 1580/2000   F1 0.531644610065004   accuracy 0.6757105943152455   precision 0.5530789679896064   recall 0.5414359567914518
deviation 5/5   iterations 1590/2000   F1 0.5508035293544141   accuracy 0.6744186046511628   precision 0.5498679534317344   recall 0.558121303241379
deviation 5/5   iterations 1600/2000   F1 0.5449768982270556   accuracy 0.6847545219638242   precision 0.5447392574050897   recall 0.5476946474817054
deviation 5/5   iterations 1610/2000   F1 0.5308442474644357   accuracy 0.6640826873385013   precision 0.52796640854036   recall 0.5376070316328213
deviation 5/5   iterations 1620/2000   F1 0.5064391108788441   accuracy 0.6124031007751938   precision 0.5121560730838023   recall 0.5257219016830988
deviation 5/5   iterations 1630/2000   F1 0.5153112281595255   accuracy 0.6421188630490956   precision 0.5184533145357887   recall 0.5233000065012369
deviation 5/5   iterations 1640/2000   F1 0.5306255156620052   accuracy 0.6511627906976745   precision 0.5324321783507924   recall 0.5430533956501069
deviation 5/5   iterations 1650/2000   F1 0.5220669103014185   accuracy 0.6395348837209303   precision 0.5318285402423834   recall 0.5370200347131614
deviation 5/5   iterations 1660/2000   F1 0.5086710936758055   accuracy 0.6098191214470284   precision 0.5177762025715241   recall 0.5288627041259243
deviation 5/5   iterations 1670/2000   F1 0.524351086146218   accuracy 0.6472868217054264   precision 0.5218816673387704   recall 0.5339215763917053
deviation 5/5   iterations 1680/2000   F1 0.4849989587080407   accuracy 0.5930232558139535   precision 0.4923437812378723   recall 0.499627757051157
deviation 5/5   iterations 1690/2000   F1 0.5173915488167466   accuracy 0.6317829457364341   precision 0.5149134630491768   recall 0.5315901082492825
deviation 5/5   iterations 1700/2000   F1 0.5018914260748432   accuracy 0.6214470284237726   precision 0.5047447104940058   recall 0.5129408635856051
deviation 5/5   iterations 1710/2000   F1 0.5246473141414177   accuracy 0.6472868217054264   precision 0.5268830412720565   recall 0.5330569446859522
deviation 5/5   iterations 1720/2000   F1 0.5361482175845458   accuracy 0.6782945736434108   precision 0.5356650303880318   recall 0.538770326715435
deviation 5/5   iterations 1730/2000   F1 0.5295840967770907   accuracy 0.6744186046511628   precision 0.533358171882762   recall 0.5272482576398346
deviation 5/5   iterations 1740/2000   F1 0.5268576421810779   accuracy 0.6679586563307494   precision 0.5236829000644994   recall 0.5314970577599231
deviation 5/5   iterations 1750/2000   F1 0.5131887942464158   accuracy 0.6317829457364341   precision 0.5101859977478352   recall 0.5286568042985883
deviation 5/5   iterations 1760/2000   F1 0.5235489673704857   accuracy 0.6369509043927648   precision 0.5215700863678805   recall 0.5396177830224914
deviation 5/5   iterations 1770/2000   F1 0.5392926381881639   accuracy 0.6770025839793282   precision 0.5372464937275172   recall 0.5441976297293936
deviation 5/5   iterations 1780/2000   F1 0.5537119195504289   accuracy 0.6925064599483204   precision 0.5579748385660209   recall 0.55019126999489
deviation 5/5   iterations 1790/2000   F1 0.5176906181914441   accuracy 0.6537467700258398   precision 0.516955266955267   recall 0.5214838003197165
deviation 5/5   iterations 1800/2000   F1 0.5422399115441077   accuracy 0.6731266149870802   precision 0.5397422142646219   recall 0.5483068131240377
deviation 5/5   iterations 1810/2000   F1 0.5255757105991675   accuracy 0.6731266149870802   precision 0.529274473270993   recall 0.5365914285824377
deviation 5/5   iterations 1820/2000   F1 0.5365409988240049   accuracy 0.6679586563307494   precision 0.53220936394671   recall 0.5463315602911013
deviation 5/5   iterations 1830/2000   F1 0.5320602264555068   accuracy 0.6550387596899225   precision 0.528006173384473   recall 0.5439283571899212
deviation 5/5   iterations 1840/2000   F1 0.5142638245459695   accuracy 0.6447028423772609   precision 0.5141949871633992   recall 0.5209559539974777
deviation 5/5   iterations 1850/2000   F1 0.5472848282437013   accuracy 0.689922480620155   precision 0.549148491950588   recall 0.546143491724942
deviation 5/5   iterations 1860/2000   F1 0.5633729262267398   accuracy 0.7131782945736435   precision 0.5718255451713395   recall 0.5584138588988937
deviation 5/5   iterations 1870/2000   F1 0.5359917204011251   accuracy 0.6731266149870802   precision 0.5319738657417391   recall 0.5438478910618979
deviation 5/5   iterations 1880/2000   F1 0.537917162733962   accuracy 0.6821705426356589   precision 0.5343013989559556   recall 0.5434432239116966
deviation 5/5   iterations 1890/2000   F1 0.5264440597200181   accuracy 0.6563307493540051   precision 0.5242005794126386   recall 0.5399587905207212
deviation 5/5   iterations 1900/2000   F1 0.5488772009459998   accuracy 0.6602067183462532   precision 0.5421550153060228   recall 0.5642645211437357
deviation 5/5   iterations 1910/2000   F1 0.527375546539712   accuracy 0.6459948320413437   precision 0.5290212620847264   recall 0.5384163659332238
deviation 5/5   iterations 1920/2000   F1 0.5518838897202986   accuracy 0.6925064599483204   precision 0.5561686024013421   recall 0.5493945200558237
deviation 5/5   iterations 1930/2000   F1 0.5300435470229871   accuracy 0.686046511627907   precision 0.5322498434658728   recall 0.5282295918756347
deviation 5/5   iterations 1940/2000   F1 0.5313809473918204   accuracy 0.6912144702842378   precision 0.5386582653817643   recall 0.5282719359970041
deviation 5/5   iterations 1950/2000   F1 0.5476674950942511   accuracy 0.6782945736434108   precision 0.542679255392786   recall 0.5563344878972467
deviation 5/5   iterations 1960/2000   F1 0.5062245481430988   accuracy 0.599483204134367   precision 0.5088905058344787   recall 0.5342195019232757
deviation 5/5   iterations 1970/2000   F1 0.5071155111928853   accuracy 0.6072351421188631   precision 0.5084599969858997   recall 0.5313925706685674
deviation 5/5   iterations 1980/2000   F1 0.5383005989242776   accuracy 0.6744186046511628   precision 0.534941926473172   recall 0.5429473918767661
deviation 5/5   iterations 1990/2000   F1 0.5488710926521592   accuracy 0.6963824289405685   precision 0.5594746749676327   recall 0.5441491778886787
deviation 5/5   iterations 2000/2000   F1 0.5282672873577997   accuracy 0.6821705426356589   precision 0.5284090350653817   recall 0.5294733530862715

0.553414395785887
