deviation 1/5   iterations 10/2000   F1 0.4936296580132197   accuracy 0.8365493757094211   precision 0.49957658321060383   recall 0.49918497519489724
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deviation 1/5   iterations 20/2000   F1 0.45435401957141086   accuracy 0.5459704880817253   precision 0.5569771723122239   recall 0.5240058948239309
deviation 1/5   iterations 30/2000   F1 0.4913691280144492   accuracy 0.6288308740068105   precision 0.5546023564064801   recall 0.5248500284862093
deviation 1/5   iterations 40/2000   F1 0.3565475167554562   accuracy 0.38251986379114644   precision 0.5465451644575355   recall 0.5224517221373685
deviation 1/5   iterations 50/2000   F1 0.4641512317378813   accuracy 0.5482406356413166   precision 0.587088856161021   recall 0.536604112288376
deviation 1/5   iterations 60/2000   F1 0.3954399557277255   accuracy 0.4370034052213394   precision 0.5651202749140893   recall 0.5289755351681957
deviation 1/5   iterations 70/2000   F1 0.4339933922564342   accuracy 0.49035187287173665   precision 0.5954037800687285   recall 0.5407557121436136
deviation 1/5   iterations 80/2000   F1 0.463733534610796   accuracy 0.5459704880817253   precision 0.5899177712322042   recall 0.5377751997937613
deviation 1/5   iterations 90/2000   F1 0.4773304474427948   accuracy 0.5675368898978433   precision 0.5980424644084438   recall 0.5413676143130858
deviation 1/5   iterations 100/2000   F1 0.4636140180717522   accuracy 0.5425652667423383   precision 0.5962199312714777   recall 0.540405289794572
deviation 1/5   iterations 110/2000   F1 0.46972657431492343   accuracy 0.5482406356413166   precision 0.6076767304860089   recall 0.5452177005380666
deviation 1/5   iterations 120/2000   F1 0.4994293872833493   accuracy 0.601589103291714   precision 0.6132547864506628   recall 0.5485341916753448
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deviation 1/5   iterations 130/2000   F1 0.5009156182069693   accuracy 0.6095346197502838   precision 0.6054123711340207   recall 0.545603695444409
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deviation 1/5   iterations 140/2000   F1 0.5164134340604929   accuracy 0.6696935300794552   precision 0.5736806578301423   recall 0.5356756596149275
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deviation 1/5   iterations 150/2000   F1 0.5228820053345908   accuracy 0.6662883087400681   precision 0.5923355424644084   recall 0.5436691741543034
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deviation 1/5   iterations 160/2000   F1 0.49085875937112866   accuracy 0.5891032917139614   precision 0.6061671575846834   recall 0.5451987585428554
deviation 1/5   iterations 170/2000   F1 0.505469024598807   accuracy 0.6356413166855845   precision 0.5831737849779086   recall 0.5375523638539796
deviation 1/5   iterations 180/2000   F1 0.4911436272622257   accuracy 0.5913734392735528   precision 0.6033382425135003   recall 0.5440930037704231
deviation 1/5   iterations 190/2000   F1 0.5320913510642644   accuracy 0.6901248581157775   precision 0.5893961708394698   recall 0.5447178429350228
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deviation 1/5   iterations 200/2000   F1 0.5352096522616754   accuracy 0.6867196367763905   precision 0.5998159057437408   recall 0.5489986986697513
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deviation 1/5   iterations 210/2000   F1 0.5383809274299187   accuracy 0.6912599318955732   precision 0.6023932253313696   recall 0.5506778919746337
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deviation 1/5   iterations 220/2000   F1 0.5504514875412299   accuracy 0.7162315550510783   precision 0.6042157584683358   recall 0.5550538122406639
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deviation 1/5   iterations 230/2000   F1 0.5341054670043199   accuracy 0.677639046538025   precision 0.6070139911634757   recall 0.5511473621229719
deviation 1/5   iterations 240/2000   F1 0.5032434085967277   accuracy 0.6129398410896708   precision 0.6073453608247423   recall 0.5465541468399706
deviation 1/5   iterations 250/2000   F1 0.5411432070925314   accuracy 0.6901248581157775   precision 0.6099840451644576   recall 0.5538817205594103
deviation 1/5   iterations 260/2000   F1 0.5232683982683982   accuracy 0.6549375709421112   precision 0.606480117820324   recall 0.5488007919722809
deviation 1/5   iterations 270/2000   F1 0.5239007614836649   accuracy 0.662883087400681   precision 0.5986377025036819   recall 0.5461101549053357
deviation 1/5   iterations 280/2000   F1 0.5711382839993568   accuracy 0.7525539160045402   precision 0.612481590574374   recall 0.5665896508130258
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deviation 1/5   iterations 290/2000   F1 0.5455834945196647   accuracy 0.7094211123723042   precision 0.6003497790868925   recall 0.5522133105148214
deviation 1/5   iterations 300/2000   F1 0.5182563175316058   accuracy 0.659477866061294   precision 0.5884695630829652   recall 0.5414238756910205
deviation 1/5   iterations 310/2000   F1 0.5177039040666838   accuracy 0.6538024971623155   precision 0.5934830633284242   recall 0.5431597198612905
deviation 1/5   iterations 320/2000   F1 0.5131453732982343   accuracy 0.64472190692395   precision 0.592445999018164   recall 0.5420730140643677
deviation 1/5   iterations 330/2000   F1 0.5178040991141789   accuracy 0.6492622020431328   precision 0.5991408934707904   recall 0.5452447630783018
deviation 1/5   iterations 340/2000   F1 0.535229111305047   accuracy 0.6946651532349603   precision 0.5919734904270987   recall 0.546413972500929
deviation 1/5   iterations 350/2000   F1 0.5472133660865172   accuracy 0.7321225879682179   precision 0.584413352970054   recall 0.5483399398386326
deviation 1/5   iterations 360/2000   F1 0.5320585780408225   accuracy 0.6821793416572077   precision 0.5972385861561119   recall 0.5473557749778851
deviation 1/5   iterations 370/2000   F1 0.5136709964970627   accuracy 0.6322360953461975   precision 0.6100638193421699   recall 0.5487020745085261
deviation 1/5   iterations 380/2000   F1 0.5154115986549878   accuracy 0.6390465380249716   precision 0.6056946489936181   recall 0.5473056852513046
deviation 1/5   iterations 390/2000   F1 0.542673165319385   accuracy 0.70261066969353   precision 0.6006013745704468   recall 0.5513499968677567
deviation 1/5   iterations 400/2000   F1 0.5286634488742591   accuracy 0.6878547105561862   precision 0.5839899361806579   recall 0.5420135307696086
deviation 1/5   iterations 410/2000   F1 0.5427050563509626   accuracy 0.7196367763904654   precision 0.5855608738340696   recall 0.5468250450014777
deviation 1/5   iterations 420/2000   F1 0.545911928341291   accuracy 0.7241770715096482   precision 0.5881381934216986   recall 0.5487979723853011
deviation 1/5   iterations 430/2000   F1 0.5484839293371963   accuracy 0.7219069239500567   precision 0.5950846833578792   recall 0.551743137647766
deviation 1/5   iterations 440/2000   F1 0.5378912427388165   accuracy 0.695800227014756   precision 0.5967353951890034   recall 0.5487084414781856
deviation 1/5   iterations 450/2000   F1 0.5427050563509626   accuracy 0.7196367763904654   precision 0.5855608738340696   recall 0.5468250450014777
deviation 1/5   iterations 460/2000   F1 0.5283180200233376   accuracy 0.6901248581157775   precision 0.5811610211094747   recall 0.5409575126966432
deviation 1/5   iterations 470/2000   F1 0.5278890959925442   accuracy 0.6867196367763905   precision 0.5833456062837507   recall 0.5416013232050968
deviation 1/5   iterations 480/2000   F1 0.5337178106692461   accuracy 0.7037457434733257   precision 0.5806578301423663   recall 0.542283243688396
deviation 1/5   iterations 490/2000   F1 0.5333686440677967   accuracy 0.7003405221339387   precision 0.5828424153166422   recall 0.5428930913527528
deviation 1/5   iterations 500/2000   F1 0.5360659351425492   accuracy 0.7071509648127128   precision 0.5825908198330879   recall 0.5436300570539419
deviation 1/5   iterations 510/2000   F1 0.5225023700313132   accuracy 0.6787741203178207   precision 0.5788352970054002   recall 0.5387780112044818
deviation 1/5   iterations 520/2000   F1 0.5198910081743868   accuracy 0.6833144154370034   precision 0.5690598919980363   recall 0.5346964446472394
deviation 1/5   iterations 530/2000   F1 0.5133936344896152   accuracy 0.6651532349602725   precision 0.5711033382425135   recall 0.5341702644678793
deviation 1/5   iterations 540/2000   F1 0.5298668667308605   accuracy 0.6923950056753689   precision 0.5824496809032891   recall 0.5417957619420907
deviation 1/5   iterations 550/2000   F1 0.5419077810765025   accuracy 0.7185017026106697   precision 0.5849165439371624   recall 0.5463404506121574
deviation 1/5   iterations 560/2000   F1 0.5443103448275862   accuracy 0.7343927355278093   precision 0.5774668630338733   recall 0.5452414742183804
deviation 1/5   iterations 570/2000   F1 0.5557358711996185   accuracy 0.7502837684449489   precision 0.5864874815905744   recall 0.5530711531509821
deviation 1/5   iterations 580/2000   F1 0.5484305542955639   accuracy 0.7434733257661748   precision 0.5785039273441335   recall 0.5474700923204797
deviation 1/5   iterations 590/2000   F1 0.5593083949543279   accuracy 0.7911464245175936   precision 0.5685076092292587   recall 0.5547641472411898
deviation 1/5   iterations 600/2000   F1 0.55570397813514   accuracy 0.7673098751418842   precision 0.5755645557191948   recall 0.5514008548721031
deviation 1/5   iterations 610/2000   F1 0.5533195085555831   accuracy 0.7604994324631101   precision 0.5758161512027491   recall 0.5497864281108962
deviation 1/5   iterations 620/2000   F1 0.5345454907941825   accuracy 0.699205448354143   precision 0.5863156602847325   recall 0.5443700002523532
deviation 1/5   iterations 630/2000   F1 0.5372236282890024   accuracy 0.7377979568671964   precision 0.5629295532646048   recall 0.5381908237747653
deviation 1/5   iterations 640/2000   F1 0.5468490319748901   accuracy 0.7446083995459705   precision 0.5750306823760433   recall 0.5458702861687601
deviation 1/5   iterations 650/2000   F1 0.5524918535556833   accuracy 0.7593643586833144   precision 0.5751718213058419   recall 0.549154147406266
deviation 1/5   iterations 660/2000   F1 0.5541497975708503   accuracy 0.7616345062429057   precision 0.5764604810996563   recall 0.5504249291784703
deviation 1/5   iterations 670/2000   F1 0.5500010114496097   accuracy 0.7707150964812712   precision 0.5651448208149239   recall 0.5462377393334379
deviation 1/5   iterations 680/2000   F1 0.5460040280387501   accuracy 0.7400681044267877   precision 0.5765709376534118   recall 0.5458076358296623
deviation 1/5   iterations 690/2000   F1 0.5404559540977572   accuracy 0.7105561861520999   precision 0.5886413843888071   recall 0.5469481279251169
deviation 1/5   iterations 700/2000   F1 0.5338139636985431   accuracy 0.7400681044267877   precision 0.5559830633284242   recall 0.5347436971589611
deviation 1/5   iterations 710/2000   F1 0.5583867666409073   accuracy 0.7820658342792282   precision 0.571588119783996   recall 0.5534803975501522
deviation 1/5   iterations 720/2000   F1 0.5561374045801527   accuracy 0.775255391600454   precision 0.5718397152675503   recall 0.5514964633845937
deviation 1/5   iterations 730/2000   F1 0.5521144588313412   accuracy 0.7775255391600454   precision 0.5648932253313697   recall 0.5479678853306722
deviation 1/5   iterations 740/2000   F1 0.5437787059083753   accuracy 0.7741203178206584   precision 0.554725085910653   recall 0.5406657546739626
deviation 1/5   iterations 750/2000   F1 0.5382035623409669   accuracy 0.7661748013620885   precision 0.5502147766323024   recall 0.5359951789421825
deviation 1/5   iterations 760/2000   F1 0.5339899680802553   accuracy 0.7366628830874007   precision 0.5581676485027001   recall 0.5354302160424609
deviation 1/5   iterations 770/2000   F1 0.5315032823559613   accuracy 0.7366628830874007   precision 0.5540500736377025   recall 0.5331666465839258
deviation 1/5   iterations 780/2000   F1 0.5402956857110447   accuracy 0.7650397275822929   precision 0.5536880216003928   recall 0.5379204230235783
deviation 1/5   iterations 790/2000   F1 0.5480733925138772   accuracy 0.7843359818388195   precision 0.5564064801178203   recall 0.5445616552580039
deviation 1/5   iterations 800/2000   F1 0.5407816604981441   accuracy 0.7741203178206584   precision 0.5506075110456554   recall 0.5380102134877033
deviation 1/5   iterations 810/2000   F1 0.5367977012899675   accuracy 0.7559591373439274   precision 0.5526509572901326   recall 0.5354926780838918
deviation 1/5   iterations 820/2000   F1 0.545102844504042   accuracy 0.771850170261067   precision 0.557554000981836   recall 0.5418862430554314
deviation 1/5   iterations 830/2000   F1 0.5286186014753126   accuracy 0.7287173666288309   precision 0.5536573392243496   recall 0.5318756470639701
deviation 1/5   iterations 840/2000   F1 0.540617693632993   accuracy 0.753688989784336   precision 0.5595974472263132   recall 0.5391360412637008
deviation 1/5   iterations 850/2000   F1 0.545102844504042   accuracy 0.771850170261067   precision 0.557554000981836   recall 0.5418862430554314
deviation 1/5   iterations 860/2000   F1 0.551156230559667   accuracy 0.7843359818388195   precision 0.5605240549828179   recall 0.5472637531148169
deviation 1/5   iterations 870/2000   F1 0.5524848057872018   accuracy 0.7741203178206584   precision 0.5670778105056455   recall 0.5483244916003537
deviation 1/5   iterations 880/2000   F1 0.5547737521380812   accuracy 0.793416572077185   precision 0.5615611192930781   recall 0.5510534351145038
deviation 1/5   iterations 890/2000   F1 0.5500890179910045   accuracy 0.7525539160045402   precision 0.5754234167893961   recall 0.5477283317800559
deviation 1/5   iterations 900/2000   F1 0.5420246238030095   accuracy 0.7412031782065834   precision 0.568980117820324   recall 0.5420161471181879
deviation 1/5   iterations 910/2000   F1 0.5451097209810346   accuracy 0.7639046538024972   precision 0.5612788414334806   recall 0.5422634162857627
deviation 1/5   iterations 920/2000   F1 0.5550326692588288   accuracy 0.7854710556186152   precision 0.5652859597447226   recall 0.5506918370847548
deviation 1/5   iterations 930/2000   F1 0.5571693121693122   accuracy 0.7843359818388195   precision 0.5687592047128129   recall 0.5524971889055472
deviation 1/5   iterations 940/2000   F1 0.5554714601072217   accuracy 0.7820658342792282   precision 0.5674705449189985   recall 0.5509508980703999
deviation 1/5   iterations 950/2000   F1 0.5478484011054086   accuracy 0.7639046538024972   precision 0.5653964162984781   recall 0.5446879350542613
deviation 1/5   iterations 960/2000   F1 0.5500010114496097   accuracy 0.7707150964812712   precision 0.5651448208149239   recall 0.5462377393334379
deviation 1/5   iterations 970/2000   F1 0.5559022951832329   accuracy 0.8036322360953462   precision 0.5591249386352479   recall 0.5535075638092276
deviation 1/5   iterations 980/2000   F1 0.5499256919933123   accuracy 0.8002270147559591   precision 0.5530743740795288   recall 0.5476907298352411
deviation 1/5   iterations 990/2000   F1 0.5599500510841185   accuracy 0.8002270147559591   precision 0.5654270986745213   recall 0.5564126984126985
deviation 1/5   iterations 1000/2000   F1 0.5566847194555113   accuracy 0.7797956867196367   precision 0.5702994599901816   recall 0.5519640751156673
deviation 1/5   iterations 1010/2000   F1 0.5570760198573065   accuracy 0.7922814982973894   precision 0.5650343642611684   recall 0.5529381206417711
deviation 1/5   iterations 1020/2000   F1 0.554187795627903   accuracy 0.7843359818388195   precision 0.5646416298478154   recall 0.5499080864934524
deviation 1/5   iterations 1030/2000   F1 0.5464315593024004   accuracy 0.7820658342792282   precision 0.5551178203240059   recall 0.5430419781483611
deviation 1/5   iterations 1040/2000   F1 0.5537866287934168   accuracy 0.7797956867196367   precision 0.5661818851251841   recall 0.549441632742876
deviation 1/5   iterations 1050/2000   F1 0.5658454325081113   accuracy 0.8036322360953462   precision 0.5714776632302405   recall 0.5620445732304938
deviation 1/5   iterations 1060/2000   F1 0.562290705866832   accuracy 0.7990919409761634   precision 0.5689003436426117   recall 0.5582461819389111
deviation 1/5   iterations 1070/2000   F1 0.536634704859004   accuracy 0.7639046538024972   precision 0.548926116838488   recall 0.5347262147424171
deviation 1/5   iterations 1080/2000   F1 0.5550399296477634   accuracy 0.8070374574347332   precision 0.556940353460972   recall 0.5534603152654867
deviation 1/5   iterations 1090/2000   F1 0.5647563019606774   accuracy 0.8149829738933031   precision 0.5655682376043201   recall 0.5639942983086579
deviation 1/5   iterations 1100/2000   F1 0.558880555673925   accuracy 0.7866061293984109   precision 0.5700478645066274   recall 0.5540820967650235
deviation 1/5   iterations 1110/2000   F1 0.5597413182613807   accuracy 0.7877412031782066   precision 0.5706921944035346   recall 0.5548895538317864
deviation 1/5   iterations 1120/2000   F1 0.5601741592804471   accuracy 0.7922814982973894   precision 0.5691519391261659   recall 0.5556109356494275
deviation 1/5   iterations 1130/2000   F1 0.5619223119223119   accuracy 0.8070374574347332   precision 0.5651755031909671   recall 0.5594095404304829
deviation 1/5   iterations 1140/2000   F1 0.5571693121693122   accuracy 0.7843359818388195   precision 0.5687592047128129   recall 0.5524971889055472
deviation 1/5   iterations 1150/2000   F1 0.5682476210519987   accuracy 0.8149829738933031   precision 0.5696858124693176   recall 0.56694965216366
deviation 1/5   iterations 1160/2000   F1 0.5629973781259917   accuracy 0.8172531214528944   precision 0.562739322533137   recall 0.5632610632610633
deviation 1/5   iterations 1170/2000   F1 0.5576524706483666   accuracy 0.8104426787741204   precision 0.5588733431516937   recall 0.5565617262115317
deviation 1/5   iterations 1180/2000   F1 0.5647563019606774   accuracy 0.8149829738933031   precision 0.5655682376043201   recall 0.5639942983086579
deviation 1/5   iterations 1190/2000   F1 0.5582093757043047   accuracy 0.7979568671963677   precision 0.5641384388807069   recall 0.5545750746673908
deviation 1/5   iterations 1200/2000   F1 0.5536204484440579   accuracy 0.771850170261067   precision 0.5699067255768286   recall 0.549375866851595
deviation 1/5   iterations 1210/2000   F1 0.5578305848612107   accuracy 0.7775255391600454   precision 0.5731283750613647   recall 0.552950324357949
deviation 1/5   iterations 1220/2000   F1 0.5611620658285237   accuracy 0.8104426787741204   precision 0.5629909180166912   recall 0.5595915381757385
deviation 1/5   iterations 1230/2000   F1 0.5620949926362298   accuracy 0.8161180476730987   precision 0.5620949926362298   recall 0.5620949926362298
deviation 1/5   iterations 1240/2000   F1 0.5648166270562468   accuracy 0.8195232690124858   precision 0.5640279823269514   recall 0.5656573283999093
deviation 1/5   iterations 1250/2000   F1 0.5620538067174549   accuracy 0.811577752553916   precision 0.5636352479135984   recall 0.5606645606645606
deviation 1/5   iterations 1260/2000   F1 0.5656664637857578   accuracy 0.8161180476730987   precision 0.5662125675012273   recall 0.5651428433432345
deviation 1/5   iterations 1270/2000   F1 0.5629500458501827   accuracy 0.8127128263337117   precision 0.5642795778105056   recall 0.5617556891875958
deviation 1/5   iterations 1280/2000   F1 0.5610363726955656   accuracy 0.8059023836549376   precision 0.5645311732940599   recall 0.5584001599395784
deviation 1/5   iterations 1290/2000   F1 0.5721824413274685   accuracy 0.8036322360953462   precision 0.5797128129602356   recall 0.567386703187251
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deviation 1/5   iterations 1300/2000   F1 0.5738545861228614   accuracy 0.8217934165720772   precision 0.5735517918507609   recall 0.5741634491634492
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deviation 1/5   iterations 1310/2000   F1 0.5655095783619337   accuracy 0.811577752553916   precision 0.567752822778596   recall 0.563611956120944
deviation 1/5   iterations 1320/2000   F1 0.5675012272950417   accuracy 0.8183881952326901   precision 0.5675012272950417   recall 0.5675012272950417
deviation 1/5   iterations 1330/2000   F1 0.5675012272950417   accuracy 0.8183881952326901   precision 0.5675012272950417   recall 0.5675012272950417
deviation 1/5   iterations 1340/2000   F1 0.5722984725289917   accuracy 0.8286038592508513   precision 0.5691826215022091   recall 0.5761983292330152
deviation 1/5   iterations 1350/2000   F1 0.5639045639045639   accuracy 0.8183881952326901   precision 0.5633836524300442   recall 0.5644482990990092
deviation 1/5   iterations 1360/2000   F1 0.5516146016146016   accuracy 0.8024971623155505   precision 0.5543630338733432   recall 0.5495536313599141
deviation 1/5   iterations 1370/2000   F1 0.5721760107774487   accuracy 0.8240635641316686   precision 0.5707228767795778   recall 0.5737836107554417
deviation 1/5   iterations 1380/2000   F1 0.5675828739711546   accuracy 0.8229284903518729   precision 0.565960972017673   recall 0.569421839882198
deviation 1/5   iterations 1390/2000   F1 0.5667444360575493   accuracy 0.8047673098751419   precision 0.5721219931271477   recall 0.5630295814831499
deviation 1/5   iterations 1400/2000   F1 0.5778831871975467   accuracy 0.8183881952326901   precision 0.5798539518900344   recall 0.5761261261261261
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deviation 1/5   iterations 1410/2000   F1 0.5732948513800424   accuracy 0.8342792281498297   precision 0.5682866961217476   recall 0.5805466284489997
deviation 1/5   iterations 1420/2000   F1 0.5620949926362298   accuracy 0.8161180476730987   precision 0.5620949926362298   recall 0.5620949926362298
deviation 1/5   iterations 1430/2000   F1 0.5646061014982968   accuracy 0.8104426787741204   precision 0.5671084928816887   recall 0.5625357396097806
deviation 1/5   iterations 1440/2000   F1 0.5648166270562468   accuracy 0.8195232690124858   precision 0.5640279823269514   recall 0.5656573283999093
deviation 1/5   iterations 1450/2000   F1 0.5657042253521127   accuracy 0.8251986379114642   precision 0.5631320569464899   recall 0.5688897817061739
deviation 1/5   iterations 1460/2000   F1 0.5685152475535347   accuracy 0.8240635641316686   precision 0.5666053019145803   recall 0.5707248416608023
deviation 1/5   iterations 1470/2000   F1 0.5608263045602281   accuracy 0.8013620885357549   precision 0.5660714285714286   recall 0.5573518131844718
deviation 1/5   iterations 1480/2000   F1 0.5694542184689968   accuracy 0.8297389330306469   precision 0.5657093765341188   recall 0.5744748921964111
deviation 1/5   iterations 1490/2000   F1 0.5594158884878022   accuracy 0.8127128263337117   precision 0.5601620029455081   recall 0.5587178381486273
deviation 1/5   iterations 1500/2000   F1 0.574269898453981   accuracy 0.8354143019296254   precision 0.5689310260186549   recall 0.582148603188533
deviation 1/5   iterations 1510/2000   F1 0.5675012272950417   accuracy 0.8183881952326901   precision 0.5675012272950417   recall 0.5675012272950417
deviation 1/5   iterations 1520/2000   F1 0.5647563019606774   accuracy 0.8149829738933031   precision 0.5655682376043201   recall 0.5639942983086579
deviation 1/5   iterations 1530/2000   F1 0.575044427519675   accuracy 0.8274687854710556   precision 0.5726558664702994   recall 0.577845571218178
deviation 1/5   iterations 1540/2000   F1 0.5570782179984107   accuracy 0.8240635641316686   precision 0.5542525773195877   recall 0.5608984956191105
deviation 1/5   iterations 1550/2000   F1 0.55666872526819   accuracy 0.8002270147559591   precision 0.5613095238095238   recall 0.5535802389686166
deviation 1/5   iterations 1560/2000   F1 0.5675828739711546   accuracy 0.8229284903518729   precision 0.565960972017673   recall 0.569421839882198
deviation 1/5   iterations 1570/2000   F1 0.5811503950716486   accuracy 0.8388195232690124   precision 0.574981590574374   recall 0.5902970736033106
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deviation 1/5   iterations 1580/2000   F1 0.5722300222300222   accuracy 0.811577752553916   precision 0.575987972508591   recall 0.5692654495010516
deviation 1/5   iterations 1590/2000   F1 0.5599500510841185   accuracy 0.8002270147559591   precision 0.5654270986745213   recall 0.5564126984126985
deviation 1/5   iterations 1600/2000   F1 0.5713444302176697   accuracy 0.8274687854710556   precision 0.5685382916053019   recall 0.5747890719164324
deviation 1/5   iterations 1610/2000   F1 0.5742235773016979   accuracy 0.8308740068104427   precision 0.5704712812960235   recall 0.5791039841296082
deviation 1/5   iterations 1620/2000   F1 0.5713628234799074   accuracy 0.8320090805902384   precision 0.5669980363279332   recall 0.5774458063783907
deviation 1/5   iterations 1630/2000   F1 0.5657336461427109   accuracy 0.8206583427922814   precision 0.5646723122238586   recall 0.566888804265042
deviation 1/5   iterations 1640/2000   F1 0.5612549800796812   accuracy 0.7820658342792282   precision 0.5757056946489936   recall 0.5559602649006623
deviation 1/5   iterations 1650/2000   F1 0.5748069498069499   accuracy 0.8229284903518729   precision 0.5741961217476681   recall 0.5754423840067886
deviation 1/5   iterations 1660/2000   F1 0.5782327476445124   accuracy 0.8399545970488081   precision 0.5715083456062837   recall 0.5889297597606764
deviation 1/5   iterations 1670/2000   F1 0.5731601680756164   accuracy 0.8127128263337117   precision 0.5766323024054982   recall 0.5703628577867929
deviation 1/5   iterations 1680/2000   F1 0.5702906317473633   accuracy 0.8217934165720772   precision 0.5694342169857634   recall 0.5712011377079715
deviation 1/5   iterations 1690/2000   F1 0.5762033797416225   accuracy 0.8422247446083996   precision 0.5686794305351006   recall 0.589344445508829
deviation 1/5   iterations 1700/2000   F1 0.5729074619538537   accuracy 0.8206583427922814   precision 0.5729074619538537   recall 0.5729074619538537
deviation 1/5   iterations 1710/2000   F1 0.5713444302176697   accuracy 0.8274687854710556   precision 0.5685382916053019   recall 0.5747890719164324
deviation 1/5   iterations 1720/2000   F1 0.5685084575339355   accuracy 0.8286038592508513   precision 0.5650650466372116   recall 0.5730354879594424
deviation 1/5   iterations 1730/2000   F1 0.5656664637857578   accuracy 0.8161180476730987   precision 0.5662125675012273   recall 0.5651428433432345
deviation 1/5   iterations 1740/2000   F1 0.5742235773016979   accuracy 0.8308740068104427   precision 0.5704712812960235   recall 0.5791039841296082
deviation 1/5   iterations 1750/2000   F1 0.5713628234799074   accuracy 0.8320090805902384   precision 0.5669980363279332   recall 0.5774458063783907
deviation 1/5   iterations 1760/2000   F1 0.5831868934007408   accuracy 0.8410896708286039   precision 0.5762702503681886   recall 0.593826433553764
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deviation 1/5   iterations 1770/2000   F1 0.5762385762385762   accuracy 0.8376844494892168   precision 0.5702196858124693   recall 0.5854618509888272
deviation 1/5   iterations 1780/2000   F1 0.5806359482102057   accuracy 0.8297389330306469   precision 0.5780621011291114   recall 0.5836379654954765
deviation 1/5   iterations 1790/2000   F1 0.5713628234799074   accuracy 0.8320090805902384   precision 0.5669980363279332   recall 0.5774458063783907
deviation 1/5   iterations 1800/2000   F1 0.5750482351605947   accuracy 0.8456299659477866   precision 0.5664948453608247   recall 0.5918554184185542
deviation 1/5   iterations 1810/2000   F1 0.5742235773016979   accuracy 0.8308740068104427   precision 0.5704712812960235   recall 0.5791039841296082
deviation 1/5   iterations 1820/2000   F1 0.5727044440299043   accuracy 0.8081725312145289   precision 0.5781725576828669   recall 0.5687865828635608
deviation 1/5   iterations 1830/2000   F1 0.5693518146511316   accuracy 0.8342792281498297   precision 0.5641691212567501   recall 0.5772760863139226
deviation 1/5   iterations 1840/2000   F1 0.5655095783619337   accuracy 0.811577752553916   precision 0.567752822778596   recall 0.563611956120944
deviation 1/5   iterations 1850/2000   F1 0.5792396703236723   accuracy 0.8410896708286039   precision 0.5721526755031909   recall 0.5907253086419753
deviation 1/5   iterations 1860/2000   F1 0.5782327476445124   accuracy 0.8399545970488081   precision 0.5715083456062837   recall 0.5889297597606764
deviation 1/5   iterations 1870/2000   F1 0.567827863790201   accuracy 0.8422247446083996   precision 0.5604442808051056   recall 0.5824709467832144
deviation 1/5   iterations 1880/2000   F1 0.5700967154335526   accuracy 0.8172531214528944   precision 0.570974472263132   recall 0.5692707584686886
deviation 1/5   iterations 1890/2000   F1 0.5786704925872788   accuracy 0.8274687854710556   precision 0.576773441335297   recall 0.5808016223617247
deviation 1/5   iterations 1900/2000   F1 0.569776684667344   accuracy 0.8444948921679909   precision 0.56173294059892   recall 0.5863548963054526
deviation 1/5   iterations 1910/2000   F1 0.5767277310504904   accuracy 0.8251986379114642   precision 0.5754847815414825   recall 0.5780718456461031
deviation 1/5   iterations 1920/2000   F1 0.5732581570177478   accuracy 0.8297389330306469   precision 0.5698269513991163   recall 0.5776363189782217
deviation 1/5   iterations 1930/2000   F1 0.5791279423260662   accuracy 0.8501702610669694   precision 0.5690721649484536   recall 0.6004497751124438
deviation 1/5   iterations 1940/2000   F1 0.5665814136117655   accuracy 0.8172531214528944   precision 0.5668568973981345   recall 0.5663116250760803
deviation 1/5   iterations 1950/2000   F1 0.5701055866443796   accuracy 0.8399545970488081   precision 0.5632731958762887   recall 0.582311524092346
deviation 1/5   iterations 1960/2000   F1 0.5713628234799074   accuracy 0.8320090805902384   precision 0.5669980363279332   recall 0.5774458063783907
deviation 1/5   iterations 1970/2000   F1 0.5828179483132201   accuracy 0.8127128263337117   precision 0.5889850270004909   recall 0.5783008272316896
deviation 1/5   iterations 1980/2000   F1 0.5693134995460577   accuracy 0.8490351872871736   precision 0.5601926853215513   recall 0.591178657743075
deviation 1/5   iterations 1990/2000   F1 0.5732948513800424   accuracy 0.8342792281498297   precision 0.5682866961217476   recall 0.5805466284489997
deviation 1/5   iterations 2000/2000   F1 0.5704056420074288   accuracy 0.8308740068104427   precision 0.566353706431026   recall 0.575944655148195

deviation 2/5   iterations 10/2000   F1 0.5705610179294389   accuracy 0.7545454545454545   precision 0.6095238095238096   recall 0.5657656859923701
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deviation 2/5   iterations 20/2000   F1 0.3912742724442907   accuracy 0.42727272727272725   precision 0.5760368663594471   recall 0.5345749585100498
deviation 2/5   iterations 30/2000   F1 0.4923391588887529   accuracy 0.5875   precision 0.6134869431643626   recall 0.5482285726222557
deviation 2/5   iterations 40/2000   F1 0.48943583398354246   accuracy 0.571590909090909   precision 0.6332718894009217   recall 0.5561114675386494
deviation 2/5   iterations 50/2000   F1 0.38694279409268373   accuracy 0.41704545454545455   precision 0.5908141321044547   recall 0.5424712643678161
deviation 2/5   iterations 60/2000   F1 0.5154177103911659   accuracy 0.6170454545454546   precision 0.6384946236559139   recall 0.5596372026077385
deviation 2/5   iterations 70/2000   F1 0.4770011275636433   accuracy 0.5465909090909091   precision 0.6396620583717358   recall 0.5587630038675518
deviation 2/5   iterations 80/2000   F1 0.448848397964709   accuracy 0.4965909090909091   precision 0.6483256528417819   recall 0.5642622880994974
deviation 2/5   iterations 90/2000   F1 0.5272283272283272   accuracy 0.6375   precision 0.6418740399385561   recall 0.5622371967654987
deviation 2/5   iterations 100/2000   F1 0.5309004857391955   accuracy 0.6352272727272728   precision 0.6570506912442396   recall 0.5682692307692307
deviation 2/5   iterations 110/2000   F1 0.4936685921395402   accuracy 0.5670454545454545   precision 0.6595084485407066   recall 0.5670454545454545
deviation 2/5   iterations 120/2000   F1 0.47117544443083104   accuracy 0.5318181818181819   precision 0.6518586789554531   recall 0.5642846367131211
deviation 2/5   iterations 130/2000   F1 0.5119519429696652   accuracy 0.5954545454545455   precision 0.6674039938556067   recall 0.5706711489476497
deviation 2/5   iterations 140/2000   F1 0.5338232241458047   accuracy 0.6375   precision 0.6624577572964669   recall 0.5706196581196581
deviation 2/5   iterations 150/2000   F1 0.5331564986737399   accuracy 0.6420454545454546   precision 0.6526881720430107   recall 0.5669811320754717
deviation 2/5   iterations 160/2000   F1 0.5306159847116416   accuracy 0.6295454545454545   precision 0.6661751152073733   recall 0.5716086189823077
deviation 2/5   iterations 170/2000   F1 0.529780564263323   accuracy 0.625   precision 0.6718279569892474   recall 0.5736390016800172
deviation 2/5   iterations 180/2000   F1 0.5434173531054044   accuracy 0.6420454545454546   precision 0.6856221198156682   recall 0.5802927856094916
deviation 2/5   iterations 190/2000   F1 0.517978766025641   accuracy 0.6022727272727273   precision 0.6753917050691245   recall 0.5741386206502486
deviation 2/5   iterations 200/2000   F1 0.5367459625524141   accuracy 0.6397727272727273   precision 0.6678648233486943   recall 0.5729700854700854
deviation 2/5   iterations 210/2000   F1 0.503793037572949   accuracy 0.5840909090909091   precision 0.660952380952381   recall 0.567778761016151
deviation 2/5   iterations 220/2000   F1 0.49426744445236315   accuracy 0.5693181818181818   precision 0.6566820276497696   recall 0.5658628812298537
deviation 2/5   iterations 230/2000   F1 0.5301564155876836   accuracy 0.6238636363636364   precision 0.675299539170507   recall 0.5749858071027566
deviation 2/5   iterations 240/2000   F1 0.5521628498727735   accuracy 0.6590909090909091   precision 0.6829493087557603   recall 0.580658268996343
deviation 2/5   iterations 250/2000   F1 0.5711720526137154   accuracy 0.7079545454545455   precision 0.6612903225806451   recall 0.5784256315877531
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deviation 2/5   iterations 260/2000   F1 0.5783354110374802   accuracy 0.7261363636363637   precision 0.6551459293394777   recall 0.5794005182259566
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deviation 2/5   iterations 270/2000   F1 0.5739300233682255   accuracy 0.725   precision 0.6462672811059907   recall 0.5753900138713824
deviation 2/5   iterations 280/2000   F1 0.5492688950632876   accuracy 0.6681818181818182   precision 0.6592933947772658   recall 0.5720495133704999
deviation 2/5   iterations 290/2000   F1 0.4789816459443458   accuracy 0.5465909090909091   precision 0.6478955453149002   recall 0.5622684658208986
deviation 2/5   iterations 300/2000   F1 0.4955072385055911   accuracy 0.5681818181818182   precision 0.6642703533026113   recall 0.5690473607818223
deviation 2/5   iterations 310/2000   F1 0.5260444718011849   accuracy 0.6181818181818182   precision 0.672073732718894   recall 0.5733918266584902
deviation 2/5   iterations 320/2000   F1 0.5827355623100303   accuracy 0.7340909090909091   precision 0.6555453149001536   recall 0.5813594729230275
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deviation 2/5   iterations 330/2000   F1 0.5906533361370776   accuracy 0.7511363636363636   precision 0.6528725038402459   recall 0.5846581010452961
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deviation 2/5   iterations 340/2000   F1 0.5544303797468354   accuracy 0.6897727272727273   precision 0.6427342549923195   recall 0.5678842781998831
deviation 2/5   iterations 350/2000   F1 0.5167707014221196   accuracy 0.6102272727272727   precision 0.6552073732718894   recall 0.5661616796580337
deviation 2/5   iterations 360/2000   F1 0.5439140815648877   accuracy 0.6647727272727273   precision 0.6491244239631336   recall 0.5675382354905496
deviation 2/5   iterations 370/2000   F1 0.5488532407103539   accuracy 0.6715909090909091   precision 0.652995391705069   recall 0.569855911661729
deviation 2/5   iterations 380/2000   F1 0.56   accuracy 0.6909090909090909   precision 0.6557296466973886   recall 0.5734318412284514
deviation 2/5   iterations 390/2000   F1 0.5696687376650905   accuracy 0.7147727272727272   precision 0.648694316436252   recall 0.5744047619047619
deviation 2/5   iterations 400/2000   F1 0.5661298701298701   accuracy 0.7034090909090909   precision 0.6545929339477727   recall 0.5748809523809524
deviation 2/5   iterations 410/2000   F1 0.5620180858965229   accuracy 0.7045454545454546   precision 0.6428878648233487   recall 0.5701673395248354
deviation 2/5   iterations 420/2000   F1 0.5674873649557194   accuracy 0.6988636363636364   precision 0.6643625192012289   recall 0.5781706604324957
deviation 2/5   iterations 430/2000   F1 0.5440906301995753   accuracy 0.6670454545454545   precision 0.6462980030721966   recall 0.5666140692495356
deviation 2/5   iterations 440/2000   F1 0.529647370842467   accuracy 0.6409090909090909   precision 0.6438095238095238   recall 0.5632735156879389
deviation 2/5   iterations 450/2000   F1 0.5511187962558859   accuracy 0.6852272727272727   precision 0.6401536098310292   recall 0.5661988344825986
deviation 2/5   iterations 460/2000   F1 0.556094119661747   accuracy 0.6920454545454545   precision 0.6440245775729647   recall 0.5687406156156156
deviation 2/5   iterations 470/2000   F1 0.5739300233682255   accuracy 0.725   precision 0.6462672811059907   recall 0.5753900138713824
deviation 2/5   iterations 480/2000   F1 0.5712639878945126   accuracy 0.7102272727272727   precision 0.6584639016897081   recall 0.5776601382766013
deviation 2/5   iterations 490/2000   F1 0.5619612190872684   accuracy 0.7   precision 0.6485407066052228   recall 0.5718130454672378
deviation 2/5   iterations 500/2000   F1 0.5536579457364341   accuracy 0.6954545454545454   precision 0.6336098310291859   recall 0.5648411548255894
deviation 2/5   iterations 510/2000   F1 0.5258676746538844   accuracy 0.6375   precision 0.6377572964669739   recall 0.5605500821018062
deviation 2/5   iterations 520/2000   F1 0.5753841585628388   accuracy 0.7340909090909091   precision 0.6390783410138249   recall 0.574266196822647
deviation 2/5   iterations 530/2000   F1 0.5923740334503211   accuracy 0.7556818181818182   precision 0.6513364055299539   recall 0.5853335735469387
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deviation 2/5   iterations 540/2000   F1 0.5765406073638284   accuracy 0.7284090909090909   precision 0.6482027649769585   recall 0.5769446712944059
deviation 2/5   iterations 550/2000   F1 0.5494706941256131   accuracy 0.6829545454545455   precision 0.6388632872503841   recall 0.5653693076638282
deviation 2/5   iterations 560/2000   F1 0.5274259264392028   accuracy 0.6477272727272727   precision 0.6270967741935484   recall 0.5569147970217754
deviation 2/5   iterations 570/2000   F1 0.5419248568515178   accuracy 0.6681818181818182   precision 0.6387096774193548   recall 0.5636019405987457
deviation 2/5   iterations 580/2000   F1 0.5721993321591661   accuracy 0.7227272727272728   precision 0.6449769585253455   recall 0.5743707093821511
deviation 2/5   iterations 590/2000   F1 0.5743576649457464   accuracy 0.7352272727272727   precision 0.6356067588325653   recall 0.5730001852292874
deviation 2/5   iterations 600/2000   F1 0.5809984250814928   accuracy 0.7488636363636364   precision 0.6351152073732719   recall 0.5761869785747942
deviation 2/5   iterations 610/2000   F1 0.5799866851026784   accuracy 0.7352272727272727   precision 0.6479569892473118   recall 0.5783854166666667
deviation 2/5   iterations 620/2000   F1 0.581664829496034   accuracy 0.7397727272727272   precision 0.6464208909370199   recall 0.5788216771188908
deviation 2/5   iterations 630/2000   F1 0.5809319136465761   accuracy 0.7340909090909091   precision 0.6514285714285715   recall 0.5796073415121034
deviation 2/5   iterations 640/2000   F1 0.5687972158560393   accuracy 0.7113636363636363   precision 0.6508755760368663   recall 0.5746992863183641
deviation 2/5   iterations 650/2000   F1 0.5708915686447984   accuracy 0.7306818181818182   precision 0.6330261136712749   recall 0.5708460954475248
deviation 2/5   iterations 660/2000   F1 0.5916772491940998   accuracy 0.740909090909091   precision 0.6676497695852535   recall 0.5881349690873501
deviation 2/5   iterations 670/2000   F1 0.5871192382869042   accuracy 0.7329545454545454   precision 0.6672503840245776   recall 0.5859998988979881
deviation 2/5   iterations 680/2000   F1 0.5593701778192248   accuracy 0.6943181818181818   precision 0.649431643625192   recall 0.5713213213213213
deviation 2/5   iterations 690/2000   F1 0.5729884098498056   accuracy 0.7125   precision 0.6597542242703534   recall 0.578608746130031
deviation 2/5   iterations 700/2000   F1 0.5627382485904309   accuracy 0.6988636363636364   precision 0.6520122887864823   recall 0.5730811040741091
deviation 2/5   iterations 710/2000   F1 0.5898978832647922   accuracy 0.740909090909091   precision 0.6635330261136713   recall 0.586412898785057
deviation 2/5   iterations 720/2000   F1 0.6082813252300621   accuracy 0.7772727272727272   precision 0.6594777265745008   recall 0.5964504165706683
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deviation 2/5   iterations 730/2000   F1 0.6045383759733036   accuracy 0.7704545454545455   precision 0.6597235023041474   recall 0.5939295392953929
deviation 2/5   iterations 740/2000   F1 0.6132661432087192   accuracy 0.7954545454545454   precision 0.6492165898617511   recall 0.6001534159800064
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deviation 2/5   iterations 750/2000   F1 0.5733012306046015   accuracy 0.7363636363636363   precision 0.6321351766513057   recall 0.571722063247487
deviation 2/5   iterations 760/2000   F1 0.5944367633225377   accuracy 0.7511363636363636   precision 0.66110599078341   recall 0.5881901840490797
deviation 2/5   iterations 770/2000   F1 0.5661298701298701   accuracy 0.7034090909090909   precision 0.6545929339477727   recall 0.5748809523809524
deviation 2/5   iterations 780/2000   F1 0.5818496883081695   accuracy 0.7329545454545454   precision 0.6549001536098311   recall 0.5808199328050063
deviation 2/5   iterations 790/2000   F1 0.5955800758175268   accuracy 0.7670454545454546   precision 0.6454377880184332   recall 0.5864146149128187
deviation 2/5   iterations 800/2000   F1 0.5809984250814928   accuracy 0.7488636363636364   precision 0.6351152073732719   recall 0.5761869785747942
deviation 2/5   iterations 810/2000   F1 0.6141633436715405   accuracy 0.7840909090909091   precision 0.6633486943164362   recall 0.6010076064407784
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deviation 2/5   iterations 820/2000   F1 0.6248120694426784   accuracy 0.8056818181818182   precision 0.6591397849462366   recall 0.6102840986510424
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deviation 2/5   iterations 830/2000   F1 0.6308253533971728   accuracy 0.8170454545454545   precision 0.657357910906298   recall 0.6169406392694063
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deviation 2/5   iterations 840/2000   F1 0.6058377813444814   accuracy 0.7818181818181819   precision 0.6497081413210446   recall 0.5940072998896528
deviation 2/5   iterations 850/2000   F1 0.5854813806819669   accuracy 0.7545454545454545   precision 0.6383410138248848   recall 0.5792385497392148
deviation 2/5   iterations 860/2000   F1 0.5856909613939305   accuracy 0.7522727272727273   precision 0.6411674347158218   recall 0.5798458341152838
deviation 2/5   iterations 870/2000   F1 0.5961659029065972   accuracy 0.7579545454545454   precision 0.6567434715821813   recall 0.5883824385376535
deviation 2/5   iterations 880/2000   F1 0.6109282561248622   accuracy 0.7852272727272728   precision 0.6557603686635944   recall 0.5981918750581017
deviation 2/5   iterations 890/2000   F1 0.6112828926610714   accuracy 0.8011363636363636   precision 0.6400921658986175   recall 0.5989583333333333
deviation 2/5   iterations 900/2000   F1 0.6141633436715405   accuracy 0.7840909090909091   precision 0.6633486943164362   recall 0.6010076064407784
deviation 2/5   iterations 910/2000   F1 0.6180555555555555   accuracy 0.7909090909090909   precision 0.6631029185867896   recall 0.6040564166490267
deviation 2/5   iterations 920/2000   F1 0.6058377813444814   accuracy 0.7818181818181819   precision 0.6497081413210446   recall 0.5940072998896528
deviation 2/5   iterations 930/2000   F1 0.5950910976355133   accuracy 0.7715909090909091   precision 0.6397849462365591   recall 0.5854723332632021
deviation 2/5   iterations 940/2000   F1 0.608276247055455   accuracy 0.7897727272727273   precision 0.6459907834101383   recall 0.5958806818181819
deviation 2/5   iterations 950/2000   F1 0.6131743500164553   accuracy 0.7829545454545455   precision 0.6627035330261137   recall 0.6002301356589147
deviation 2/5   iterations 960/2000   F1 0.5908067926072427   accuracy 0.7443181818181818   precision 0.6613517665130568   recall 0.5863906727023898
deviation 2/5   iterations 970/2000   F1 0.6159064815781233   accuracy 0.7909090909090909   precision 0.6589861751152074   recall 0.6022573684584924
deviation 2/5   iterations 980/2000   F1 0.6139958713220443   accuracy 0.7988636363636363   precision 0.6470353302611367   recall 0.6009500185616415
deviation 2/5   iterations 990/2000   F1 0.6182932578972183   accuracy 0.8170454545454545   precision 0.636774193548387   recall 0.6074324324324324
deviation 2/5   iterations 1000/2000   F1 0.6199373347747986   accuracy 0.821590909090909   precision 0.6352380952380953   recall 0.6100896322676164
deviation 2/5   iterations 1010/2000   F1 0.6081720065887418   accuracy 0.8147727272727273   precision 0.6231336405529955   recall 0.599027514231499
deviation 2/5   iterations 1020/2000   F1 0.6145523787542194   accuracy 0.8102272727272727   precision 0.6370199692780338   recall 0.602920543494314
deviation 2/5   iterations 1030/2000   F1 0.6279856267173959   accuracy 0.8090909090909091   precision 0.6610752688172044   recall 0.6132309366874282
deviation 2/5   iterations 1040/2000   F1 0.5951388888888889   accuracy 0.759090909090909   precision 0.6532718894009216   recall 0.587235530687183
deviation 2/5   iterations 1050/2000   F1 0.5985832349468713   accuracy 0.7681818181818182   precision 0.650199692780338   recall 0.5889355385611689
deviation 2/5   iterations 1060/2000   F1 0.6160357435816883   accuracy 0.8011363636363636   precision 0.6483256528417819   recall 0.6027898896307399
deviation 2/5   iterations 1070/2000   F1 0.622007722007722   accuracy 0.7977272727272727   precision 0.6628571428571428   recall 0.6074164133738602
deviation 2/5   iterations 1080/2000   F1 0.6123133119961721   accuracy 0.8284090909090909   precision 0.6185253456221198   recall 0.6072667823301748
deviation 2/5   iterations 1090/2000   F1 0.6095270811863048   accuracy 0.7886363636363637   precision 0.6494623655913978   recall 0.5969285697208297
deviation 2/5   iterations 1100/2000   F1 0.6172835333220664   accuracy 0.7806818181818181   precision 0.6737634408602151   recall 0.6039705882352941
deviation 2/5   iterations 1110/2000   F1 0.6243728258174671   accuracy 0.8102272727272727   precision 0.6534869431643625   recall 0.6105857770222411
deviation 2/5   iterations 1120/2000   F1 0.6237814942850914   accuracy 0.8284090909090909   precision 0.6349923195084486   recall 0.6156267104542967
deviation 2/5   iterations 1130/2000   F1 0.6292152075340076   accuracy 0.8284090909090909   precision 0.643225806451613   recall 0.6195384615384616
deviation 2/5   iterations 1140/2000   F1 0.6171518573578918   accuracy 0.7875   precision 0.6652841781874039   recall 0.6033851924732505
deviation 2/5   iterations 1150/2000   F1 0.6188301959865062   accuracy 0.8068181818181818   precision 0.6474347158218126   recall 0.6056946022852411
deviation 2/5   iterations 1160/2000   F1 0.6252078636902485   accuracy 0.821590909090909   precision 0.6434715821812595   recall 0.6140181257080355
deviation 2/5   iterations 1170/2000   F1 0.6220970180019239   accuracy 0.8295454545454546   precision 0.6315207373271889   recall 0.6149434545864613
deviation 2/5   iterations 1180/2000   F1 0.6236842105263158   accuracy 0.8227272727272728   precision 0.64   recall 0.6132736763609247
deviation 2/5   iterations 1190/2000   F1 0.6079850767046245   accuracy 0.7818181818181819   precision 0.6538248847926267   recall 0.5958468288424873
deviation 2/5   iterations 1200/2000   F1 0.6293148680505776   accuracy 0.8056818181818182   precision 0.6673732718894009   recall 0.6138643659711075
deviation 2/5   iterations 1210/2000   F1 0.6248934356351237   accuracy 0.8295454545454546   precision 0.6356374807987711   recall 0.616953642384106
deviation 2/5   iterations 1220/2000   F1 0.6258653115121444   accuracy 0.8068181818181818   precision 0.6597849462365591   recall 0.6112551445610973
deviation 2/5   iterations 1230/2000   F1 0.626358695652174   accuracy 0.7954545454545454   precision 0.6739170506912442   recall 0.6109556177528989
deviation 2/5   iterations 1240/2000   F1 0.6109637488947834   accuracy 0.8090909090909091   precision 0.6322580645161291   recall 0.599883063730267
deviation 2/5   iterations 1250/2000   F1 0.6078431372549019   accuracy 0.8   precision 0.6353302611367128   recall 0.5960624220378754
deviation 2/5   iterations 1260/2000   F1 0.6155951328365121   accuracy 0.8113636363636364   precision 0.6376651305683564   recall 0.6039665525145939
deviation 2/5   iterations 1270/2000   F1 0.6138154411535707   accuracy 0.8238636363636364   precision 0.6241781874039939   recall 0.6063639425708391
deviation 2/5   iterations 1280/2000   F1 0.618859649122807   accuracy 0.8204545454545454   precision 0.6345929339477726   recall 0.6088988317176236
deviation 2/5   iterations 1290/2000   F1 0.6258792610342429   accuracy 0.825   precision 0.6412903225806452   recall 0.61572606214331
deviation 2/5   iterations 1300/2000   F1 0.6265223122563528   accuracy 0.8284090909090909   precision 0.6391090629800307   recall 0.6176030585106382
deviation 2/5   iterations 1310/2000   F1 0.613260800757812   accuracy 0.7806818181818181   precision 0.6655299539170507   recall 0.6004744002864304
deviation 2/5   iterations 1320/2000   F1 0.6345811051693404   accuracy 0.8136363636363636   precision 0.6677726574500769   recall 0.6190912342222106
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deviation 2/5   iterations 1330/2000   F1 0.610254209546131   accuracy 0.8170454545454545   precision 0.6244239631336406   recall 0.6012864631267256
deviation 2/5   iterations 1340/2000   F1 0.6053201004010271   accuracy 0.8056818181818182   precision 0.6262058371735791   recall 0.594797666518978
deviation 2/5   iterations 1350/2000   F1 0.6079758319924244   accuracy 0.7920454545454545   precision 0.6431643625192013   recall 0.595667454999343
deviation 2/5   iterations 1360/2000   F1 0.6058419140220028   accuracy 0.7977272727272727   precision 0.6340399385560676   recall 0.5942259349165075
deviation 2/5   iterations 1370/2000   F1 0.6127459830294277   accuracy 0.8227272727272728   precision 0.6235330261136712   recall 0.6051175873932093
deviation 2/5   iterations 1380/2000   F1 0.6234420095232025   accuracy 0.8397727272727272   precision 0.6249769585253456   recall 0.6219775474956822
deviation 2/5   iterations 1390/2000   F1 0.6134169669469283   accuracy 0.8204545454545454   precision 0.6263594470046083   recall 0.6047962168387366
deviation 2/5   iterations 1400/2000   F1 0.6177874174699997   accuracy 0.8193181818181818   precision 0.6339477726574501   recall 0.607724541429475
deviation 2/5   iterations 1410/2000   F1 0.6218022115912477   accuracy 0.8443181818181819   precision 0.6193241167434715   recall 0.6244871794871795
deviation 2/5   iterations 1420/2000   F1 0.6177907145088657   accuracy 0.8056818181818182   precision 0.64678955453149   recall 0.6047108944913917
deviation 2/5   iterations 1430/2000   F1 0.626302551203737   accuracy 0.8227272727272728   precision 0.6441167434715822   recall 0.6152115609435019
deviation 2/5   iterations 1440/2000   F1 0.6365182857614912   accuracy 0.8465909090909091   precision 0.6370814132104454   recall 0.6359636292720979
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deviation 2/5   iterations 1450/2000   F1 0.6387305739823725   accuracy 0.8352272727272727   precision 0.6512135176651306   recall 0.629520862279483
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deviation 2/5   iterations 1460/2000   F1 0.628783257615072   accuracy 0.8420454545454545   precision 0.630384024577573   recall 0.6272548455190943
deviation 2/5   iterations 1470/2000   F1 0.6265811011904762   accuracy 0.8340909090909091   precision 0.6341013824884792   recall 0.6205015514747292
deviation 2/5   iterations 1480/2000   F1 0.632605163386893   accuracy 0.8318181818181818   precision 0.6451612903225807   recall 0.6235216613859522
deviation 2/5   iterations 1490/2000   F1 0.6310935441370223   accuracy 0.825   precision 0.6495238095238095   recall 0.6195341434900924
deviation 2/5   iterations 1500/2000   F1 0.6393035852321336   accuracy 0.8306818181818182   precision 0.6568663594470046   recall 0.6276959705493977
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deviation 2/5   iterations 1510/2000   F1 0.6311688311688312   accuracy 0.8386363636363636   precision 0.6366820276497696   recall 0.6264279624893435
deviation 2/5   iterations 1520/2000   F1 0.6321152416238245   accuracy 0.8511363636363637   precision 0.6273118279569893   recall 0.6376488095238095
deviation 2/5   iterations 1530/2000   F1 0.6272053872053872   accuracy 0.803409090909091   precision 0.6660829493087558   recall 0.6119718309859155
deviation 2/5   iterations 1540/2000   F1 0.6221093721862525   accuracy 0.8238636363636364   precision 0.6365284178187404   recall 0.6125222816399287
deviation 2/5   iterations 1550/2000   F1 0.6276190591336098   accuracy 0.8409090909090909   precision 0.6297388632872504   recall 0.6256261973607492
deviation 2/5   iterations 1560/2000   F1 0.6327866063858345   accuracy 0.821590909090909   precision 0.6558218125960061   recall 0.6196407004830917
deviation 2/5   iterations 1570/2000   F1 0.617710778118794   accuracy 0.825   precision 0.6289400921658986   recall 0.609718605891395
deviation 2/5   iterations 1580/2000   F1 0.6254505971769816   accuracy 0.8329545454545455   precision 0.6334562211981567   recall 0.6190789473684211
deviation 2/5   iterations 1590/2000   F1 0.6303025599995719   accuracy 0.821590909090909   precision 0.6517050691244239   recall 0.6178002977212871
deviation 2/5   iterations 1600/2000   F1 0.6253118403377471   accuracy 0.8386363636363636   precision 0.6284485407066053   recall 0.6224534026874728
deviation 2/5   iterations 1610/2000   F1 0.6181510441361989   accuracy 0.8284090909090909   precision 0.6267588325652842   recall 0.6115424542584023
deviation 2/5   iterations 1620/2000   F1 0.6266821320789167   accuracy 0.8204545454545454   precision 0.6469431643625192   recall 0.614756379619766
deviation 2/5   iterations 1630/2000   F1 0.6125608348504861   accuracy 0.8318181818181818   precision 0.6163440860215054   recall 0.6092349228692412
deviation 2/5   iterations 1640/2000   F1 0.6341245057069415   accuracy 0.8443181818181819   precision 0.6357910906298003   recall 0.6325321435425062
deviation 2/5   iterations 1650/2000   F1 0.6292624900872323   accuracy 0.8454545454545455   precision 0.6282027649769586   recall 0.6303557371518537
deviation 2/5   iterations 1660/2000   F1 0.6130331125827815   accuracy 0.8113636363636364   precision 0.6335483870967742   recall 0.6019704433497537
deviation 2/5   iterations 1670/2000   F1 0.6071385794705952   accuracy 0.8136363636363636   precision 0.6224884792626728   recall 0.5979212307571395
deviation 2/5   iterations 1680/2000   F1 0.618822144555287   accuracy 0.8511363636363637   precision 0.6108448540706605   recall 0.6294191919191919
deviation 2/5   iterations 1690/2000   F1 0.6348962773515203   accuracy 0.8340909090909091   precision 0.6464516129032258   recall 0.6262781456953642
deviation 2/5   iterations 1700/2000   F1 0.6170583115752829   accuracy 0.8272727272727273   precision 0.6261136712749616   recall 0.6102179119545489
deviation 2/5   iterations 1710/2000   F1 0.615265558034076   accuracy 0.8443181818181819   precision 0.6110906298003072   recall 0.6201105442176871
deviation 2/5   iterations 1720/2000   F1 0.626985380287075   accuracy 0.8261363636363637   precision 0.6419354838709678   recall 0.6169786096256684
deviation 2/5   iterations 1730/2000   F1 0.6197206370187724   accuracy 0.8454545454545455   precision 0.6158525345622119   recall 0.6241260812892523
deviation 2/5   iterations 1740/2000   F1 0.6367278436467977   accuracy 0.8613636363636363   precision 0.624884792626728   recall 0.6536257955284123
deviation 2/5   iterations 1750/2000   F1 0.6348962773515203   accuracy 0.8340909090909091   precision 0.6464516129032258   recall 0.6262781456953642
deviation 2/5   iterations 1760/2000   F1 0.614602707729573   accuracy 0.8159090909090909   precision 0.6320122887864823   recall 0.6042971290983408
deviation 2/5   iterations 1770/2000   F1 0.6130331125827815   accuracy 0.8113636363636364   precision 0.6335483870967742   recall 0.6019704433497537
deviation 2/5   iterations 1780/2000   F1 0.6078431372549019   accuracy 0.8   precision 0.6353302611367128   recall 0.5960624220378754
deviation 2/5   iterations 1790/2000   F1 0.6295285919728949   accuracy 0.8579545454545454   precision 0.6188325652841782   recall 0.6446219191194065
deviation 2/5   iterations 1800/2000   F1 0.6292624900872323   accuracy 0.8454545454545455   precision 0.6282027649769586   recall 0.6303557371518537
deviation 2/5   iterations 1810/2000   F1 0.6333333333333333   accuracy 0.8272727272727273   precision 0.6508141321044547   recall 0.6220233656475267
deviation 2/5   iterations 1820/2000   F1 0.6367373964887201   accuracy 0.8306818181818182   precision 0.6527496159754225   recall 0.6258912655971479
deviation 2/5   iterations 1830/2000   F1 0.6160239361702128   accuracy 0.8090909090909091   precision 0.6404915514592934   recall 0.6038572298076835
deviation 2/5   iterations 1840/2000   F1 0.6220512820512821   accuracy 0.8477272727272728   precision 0.6171428571428572   recall 0.6278243379148508
deviation 2/5   iterations 1850/2000   F1 0.6241686104333231   accuracy 0.8375   precision 0.6278033794162826   recall 0.6209077380952381
deviation 2/5   iterations 1860/2000   F1 0.6237814942850914   accuracy 0.8284090909090909   precision 0.6349923195084486   recall 0.6156267104542967
deviation 2/5   iterations 1870/2000   F1 0.6264986804272417   accuracy 0.8488636363636364   precision 0.621904761904762   recall 0.6318027210884354
deviation 2/5   iterations 1880/2000   F1 0.6177964992443984   accuracy 0.8340909090909091   precision 0.6217511520737327   recall 0.614311592112702
deviation 2/5   iterations 1890/2000   F1 0.618859649122807   accuracy 0.8204545454545454   precision 0.6345929339477726   recall 0.6088988317176236
deviation 2/5   iterations 1900/2000   F1 0.6260114832044587   accuracy 0.8306818181818182   precision 0.6362826420890937   recall 0.6183009045912272
deviation 2/5   iterations 1910/2000   F1 0.6193930938262993   accuracy 0.8238636363636364   precision 0.6324116743471582   recall 0.6105128205128205
deviation 2/5   iterations 1920/2000   F1 0.6226543147035868   accuracy 0.8420454545454545   precision 0.6221505376344086   recall 0.6231661379857256
deviation 2/5   iterations 1930/2000   F1 0.6301038554559681   accuracy 0.8522727272727273   precision 0.6238402457757296   recall 0.6376876938421391
deviation 2/5   iterations 1940/2000   F1 0.620646999287776   accuracy 0.8431818181818181   precision 0.618678955453149   recall 0.6227455864970323
deviation 2/5   iterations 1950/2000   F1 0.6197206370187724   accuracy 0.8454545454545455   precision 0.6158525345622119   recall 0.6241260812892523
deviation 2/5   iterations 1960/2000   F1 0.6170672920330923   accuracy 0.8102272727272727   precision 0.641136712749616   recall 0.6048858447488584
deviation 2/5   iterations 1970/2000   F1 0.6198156682027649   accuracy 0.8159090909090909   precision 0.6402457757296467   recall 0.6082872351529068
deviation 2/5   iterations 1980/2000   F1 0.6285199485199485   accuracy 0.8602272727272727   precision 0.6160061443932412   recall 0.6475
deviation 2/5   iterations 1990/2000   F1 0.6203635429064464   accuracy 0.8397727272727272   precision 0.6208602150537634   recall 0.6198747013797474
deviation 2/5   iterations 2000/2000   F1 0.6174482350160905   accuracy 0.8306818181818182   precision 0.6239324116743472   recall 0.6121602384447706

deviation 3/5   iterations 10/2000   F1 0.5453228643703839   accuracy 0.803409090909091   precision 0.5466973886328725   recall 0.5441778273809524
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deviation 3/5   iterations 20/2000   F1 0.3346963114404975   accuracy 0.35454545454545455   precision 0.5306298003072196   recall 0.5155673251681646
deviation 3/5   iterations 30/2000   F1 0.46660497397339495   accuracy 0.553409090909091   precision 0.5858986175115207   recall 0.5361801242236025
deviation 3/5   iterations 40/2000   F1 0.4664794664794665   accuracy 0.5465909090909091   precision 0.5984946236559139   recall 0.5414074931288876
deviation 3/5   iterations 50/2000   F1 0.4227640413391691   accuracy 0.47954545454545455   precision 0.5727803379416283   recall 0.5311515419290024
deviation 3/5   iterations 60/2000   F1 0.4074773790798131   accuracy 0.4556818181818182   precision 0.5674654377880184   recall 0.529430054035509
deviation 3/5   iterations 70/2000   F1 0.4845335127994217   accuracy 0.5727272727272728   precision 0.6133333333333333   recall 0.5478447180157606
deviation 3/5   iterations 80/2000   F1 0.503024042708268   accuracy 0.6011363636363637   precision 0.6253456221198157   recall 0.5535534274193548
deviation 3/5   iterations 90/2000   F1 0.428891965775553   accuracy 0.48068181818181815   precision 0.5981259600614439   recall 0.5423158452570218
deviation 3/5   iterations 100/2000   F1 0.5239002613240418   accuracy 0.6386363636363637   precision 0.630168970814132   recall 0.5575082387304483
deviation 3/5   iterations 110/2000   F1 0.5125418511056535   accuracy 0.6147727272727272   precision 0.6330875576036866   recall 0.5573088646177292
deviation 3/5   iterations 120/2000   F1 0.47745684353395257   accuracy 0.5545454545454546   precision 0.6235944700460829   recall 0.5519523118326781
deviation 3/5   iterations 130/2000   F1 0.5339294620957747   accuracy 0.6488636363636363   precision 0.6442089093701997   recall 0.5640570754819973
deviation 3/5   iterations 140/2000   F1 0.5050618672665916   accuracy 0.6022727272727273   precision 0.6301075268817204   recall 0.5555555555555556
deviation 3/5   iterations 150/2000   F1 0.556094119661747   accuracy 0.6920454545454545   precision 0.6440245775729647   recall 0.5687406156156156
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deviation 3/5   iterations 160/2000   F1 0.5328547338313582   accuracy 0.6397727272727273   precision 0.6555145929339479   recall 0.5679630942407252
deviation 3/5   iterations 170/2000   F1 0.5083177107764424   accuracy 0.6034090909090909   precision 0.6389861751152074   recall 0.5592469197887855
deviation 3/5   iterations 180/2000   F1 0.5635227680592454   accuracy 0.6875   precision 0.6702611367127496   recall 0.5788811459543166
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deviation 3/5   iterations 190/2000   F1 0.5326242862168817   accuracy 0.6431818181818182   precision 0.6492165898617511   recall 0.5656525241820807
deviation 3/5   iterations 200/2000   F1 0.5468246829489354   accuracy 0.6590909090909091   precision 0.6664823348694316   recall 0.574033695646234
deviation 3/5   iterations 210/2000   F1 0.539084670119153   accuracy 0.6465909090909091   precision 0.6635023041474655   recall 0.5717250673854447
deviation 3/5   iterations 220/2000   F1 0.5421561379008187   accuracy 0.6545454545454545   precision 0.6597849462365591   recall 0.5708973331370399
deviation 3/5   iterations 230/2000   F1 0.5744400237399161   accuracy 0.7   precision 0.6814746543778802   recall 0.5852868305698494
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deviation 3/5   iterations 240/2000   F1 0.5599052465032507   accuracy 0.6806818181818182   precision 0.6705069124423964   recall 0.5780704913236254
deviation 3/5   iterations 250/2000   F1 0.5155670468752759   accuracy 0.6102272727272727   precision 0.6510906298003072   recall 0.5644784040611692
deviation 3/5   iterations 260/2000   F1 0.5486582947785856   accuracy 0.6693181818181818   precision 0.6558218125960061   recall 0.5707589285714286
deviation 3/5   iterations 270/2000   F1 0.5588525388239084   accuracy 0.6852272727272727   precision 0.6607373271889401   recall 0.5746984649122807
deviation 3/5   iterations 280/2000   F1 0.565618697920394   accuracy 0.6943181818181818   precision 0.6658986175115207   recall 0.5780960755275824
deviation 3/5   iterations 290/2000   F1 0.5407823453882545   accuracy 0.6545454545454545   precision 0.655668202764977   recall 0.5692247159696379
deviation 3/5   iterations 300/2000   F1 0.5369389668827708   accuracy 0.6454545454545455   precision 0.6587403993855607   recall 0.5697041317943654
deviation 3/5   iterations 310/2000   F1 0.5090493030996464   accuracy 0.5977272727272728   precision 0.6522273425499232   recall 0.5644916935219363
deviation 3/5   iterations 320/2000   F1 0.5449103493223952   accuracy 0.6681818181818182   precision 0.6469431643625192   recall 0.5669996806203809
deviation 3/5   iterations 330/2000   F1 0.5412557082386305   accuracy 0.6590909090909091   precision 0.650015360983103   recall 0.5673409495859972
deviation 3/5   iterations 340/2000   F1 0.5398259705488622   accuracy 0.6590909090909091   precision 0.6458986175115207   recall 0.5656552250443785
deviation 3/5   iterations 350/2000   F1 0.5616850773692249   accuracy 0.6931818181818182   precision 0.6570199692780339   recall 0.5742916780529214
deviation 3/5   iterations 360/2000   F1 0.5488532407103539   accuracy 0.6715909090909091   precision 0.652995391705069   recall 0.569855911661729
deviation 3/5   iterations 370/2000   F1 0.5398259705488622   accuracy 0.6590909090909091   precision 0.6458986175115207   recall 0.5656552250443785
deviation 3/5   iterations 380/2000   F1 0.5420742754411398   accuracy 0.6602272727272728   precision 0.6506605222734254   recall 0.5677138564863909
deviation 3/5   iterations 390/2000   F1 0.5571740083219254   accuracy 0.6829545454545455   precision 0.659447004608295   recall 0.573871011819362
deviation 3/5   iterations 400/2000   F1 0.5383261417524672   accuracy 0.6511363636363636   precision 0.6537327188940092   recall 0.5681372549019608
deviation 3/5   iterations 410/2000   F1 0.5498595493358054   accuracy 0.6670454545454545   precision 0.6627649769585253   recall 0.5733372461296538
deviation 3/5   iterations 420/2000   F1 0.5765871546553831   accuracy 0.7238636363636364   precision 0.6538556067588326   recall 0.5783754006410257
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deviation 3/5   iterations 430/2000   F1 0.5645535499398315   accuracy 0.7079545454545455   precision 0.6448233486943165   recall 0.5715543412264724
deviation 3/5   iterations 440/2000   F1 0.5417932969204939   accuracy 0.6659090909090909   precision 0.6415360983102919   recall 0.5645342940869945
deviation 3/5   iterations 450/2000   F1 0.5480274017242968   accuracy 0.6704545454545454   precision 0.6523502304147466   recall 0.5694650671537673
deviation 3/5   iterations 460/2000   F1 0.5800914806407238   accuracy 0.7284090909090909   precision 0.6564362519201229   recall 0.580439288241836
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deviation 3/5   iterations 470/2000   F1 0.5696687376650905   accuracy 0.7147727272727272   precision 0.648694316436252   recall 0.5744047619047619
deviation 3/5   iterations 480/2000   F1 0.59169341894061   accuracy 0.7477272727272727   precision 0.6591705069124424   recall 0.5863966541932644
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deviation 3/5   iterations 490/2000   F1 0.562861652771145   accuracy 0.7056818181818182   precision 0.6435330261136714   recall 0.5706269349845201
deviation 3/5   iterations 500/2000   F1 0.5705154444409458   accuracy 0.7181818181818181   precision 0.6465130568356374   recall 0.574126921953009
deviation 3/5   iterations 510/2000   F1 0.5747322361942659   accuracy 0.7284090909090909   precision 0.6440860215053763   recall 0.5751776050883537
deviation 3/5   iterations 520/2000   F1 0.5782268804901378   accuracy 0.7329545454545454   precision 0.6466666666666667   recall 0.5773012254203477
deviation 3/5   iterations 530/2000   F1 0.5686927693080117   accuracy 0.7204545454545455   precision 0.6395698924731184   recall 0.5715969766313016
deviation 3/5   iterations 540/2000   F1 0.5495420033467912   accuracy 0.6875   precision 0.6332104454685099   recall 0.5635792042042042
deviation 3/5   iterations 550/2000   F1 0.5404914868485495   accuracy 0.6704545454545454   precision 0.6317665130568357   recall 0.5609541188441882
deviation 3/5   iterations 560/2000   F1 0.5611605052039188   accuracy 0.7011363636363637   precision 0.6450691244239631   recall 0.5705382537823562
deviation 3/5   iterations 570/2000   F1 0.5510458590782834   accuracy 0.6829545454545455   precision 0.6429800307219662   recall 0.5670852648815702
deviation 3/5   iterations 580/2000   F1 0.5679052515129823   accuracy 0.7170454545454545   precision 0.6417511520737327   recall 0.5718799072758544
deviation 3/5   iterations 590/2000   F1 0.5363647491037202   accuracy 0.6625   precision 0.6313671274961598   recall 0.5599806984468982
deviation 3/5   iterations 600/2000   F1 0.5704761904761905   accuracy 0.7204545454545455   precision 0.6436866359447004   recall 0.573364705882353
deviation 3/5   iterations 610/2000   F1 0.5803242948630604   accuracy 0.7454545454545455   precision 0.6372964669738863   recall 0.5762570728477725
deviation 3/5   iterations 620/2000   F1 0.5979175897208684   accuracy 0.775   precision 0.6417204301075269   recall 0.5876336446325581
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deviation 3/5   iterations 630/2000   F1 0.5887244953488223   accuracy 0.7511363636363636   precision 0.6487557603686636   recall 0.5828678222295244
deviation 3/5   iterations 640/2000   F1 0.5653898502819366   accuracy 0.7113636363636363   precision 0.642642089093702   recall 0.5712225801503298
deviation 3/5   iterations 650/2000   F1 0.5906533361370776   accuracy 0.7511363636363636   precision 0.6528725038402459   recall 0.5846581010452961
deviation 3/5   iterations 660/2000   F1 0.5746373220262242   accuracy 0.7306818181818182   precision 0.6412596006144393   recall 0.5744514106583072
deviation 3/5   iterations 670/2000   F1 0.5635882741899934   accuracy 0.7136363636363636   precision 0.6356989247311828   recall 0.5686556121338731
deviation 3/5   iterations 680/2000   F1 0.5771333885666943   accuracy 0.7363636363636363   precision 0.6403686635944701   recall 0.5753587333003464
deviation 3/5   iterations 690/2000   F1 0.5852317360565593   accuracy 0.7443181818181818   precision 0.6490015360983103   recall 0.5811036789297659
deviation 3/5   iterations 700/2000   F1 0.572997014120011   accuracy 0.7261363636363637   precision 0.6427956989247312   recall 0.5741374030216415
deviation 3/5   iterations 710/2000   F1 0.5918684357101804   accuracy 0.7625   precision 0.6428571428571429   recall 0.5837270605859814
deviation 3/5   iterations 720/2000   F1 0.6042841958956748   accuracy 0.775   precision 0.6540706605222735   recall 0.5931802810830094
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deviation 3/5   iterations 730/2000   F1 0.6159064815781233   accuracy 0.7909090909090909   precision 0.6589861751152074   recall 0.6022573684584924
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deviation 3/5   iterations 740/2000   F1 0.6031489862397816   accuracy 0.7761363636363636   precision 0.6505990783410138   recall 0.5920846983859818
deviation 3/5   iterations 750/2000   F1 0.5929909876575838   accuracy 0.7613636363636364   precision 0.6463287250384024   recall 0.5849086202839439
deviation 3/5   iterations 760/2000   F1 0.5679448233772991   accuracy 0.7147727272727272   precision 0.6445775729646698   recall 0.5726611329331258
deviation 3/5   iterations 770/2000   F1 0.5510881755601368   accuracy 0.696590909090909   precision 0.626021505376344   recall 0.5617607381176074
deviation 3/5   iterations 780/2000   F1 0.5592870820444837   accuracy 0.7102272727272727   precision 0.6296466973886329   recall 0.5654466501240695
deviation 3/5   iterations 790/2000   F1 0.5974536645822771   accuracy 0.7693181818181818   precision 0.6467281105990783   recall 0.5877941176470588
deviation 3/5   iterations 800/2000   F1 0.6058377813444814   accuracy 0.7818181818181819   precision 0.6497081413210446   recall 0.5940072998896528
deviation 3/5   iterations 810/2000   F1 0.6102604314144032   accuracy 0.7920454545454545   precision 0.6472811059907834   recall 0.5975627625280844
deviation 3/5   iterations 820/2000   F1 0.6050732892838155   accuracy 0.7784090909090909   precision 0.651889400921659   recall 0.5935683139534884
deviation 3/5   iterations 830/2000   F1 0.5880149812734082   accuracy 0.7454545454545455   precision 0.6537634408602151   recall 0.5834617360041089
deviation 3/5   iterations 840/2000   F1 0.6014196383302349   accuracy 0.7715909090909091   precision 0.6521351766513057   recall 0.5910294117647059
deviation 3/5   iterations 850/2000   F1 0.5894919617481146   accuracy 0.7545454545454545   precision 0.6465745007680491   recall 0.582904129393693
deviation 3/5   iterations 860/2000   F1 0.5774512628445213   accuracy 0.7272727272727273   precision 0.6516743471582181   recall 0.5781769583035109
deviation 3/5   iterations 870/2000   F1 0.5753841585628388   accuracy 0.7340909090909091   precision 0.6390783410138249   recall 0.574266196822647
deviation 3/5   iterations 880/2000   F1 0.6007722007722007   accuracy 0.7863636363636364   precision 0.6358218125960061   recall 0.5895845997973658
deviation 3/5   iterations 890/2000   F1 0.6033816929339317   accuracy 0.7840909090909091   precision 0.6427649769585253   recall 0.5918241528940318
deviation 3/5   iterations 900/2000   F1 0.59114975980925   accuracy 0.759090909090909   precision 0.6450384024577573   recall 0.5836113885760029
deviation 3/5   iterations 910/2000   F1 0.6062639821029083   accuracy 0.7954545454545454   precision 0.6368663594470046   recall 0.5944055944055944
deviation 3/5   iterations 920/2000   F1 0.5944187391555813   accuracy 0.7681818181818182   precision 0.6419662058371736   recall 0.5852463492204045
deviation 3/5   iterations 930/2000   F1 0.6025186934277843   accuracy 0.7704545454545455   precision 0.6556067588325653   recall 0.592137145185584
deviation 3/5   iterations 940/2000   F1 0.6122602491291192   accuracy 0.7943181818181818   precision 0.6485714285714286   recall 0.5992806464327947
deviation 3/5   iterations 950/2000   F1 0.6166427728450017   accuracy 0.8125   precision 0.6383102918586789   recall 0.6050259415475346
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deviation 3/5   iterations 960/2000   F1 0.6106388267462093   accuracy 0.7977272727272727   precision 0.6422734254992319   recall 0.5981351981351981
deviation 3/5   iterations 970/2000   F1 0.6069864755968505   accuracy 0.7909090909090909   precision 0.6425192012288786   recall 0.5948197627359764
deviation 3/5   iterations 980/2000   F1 0.6076373749541201   accuracy 0.7943181818181818   precision 0.6403379416282642   recall 0.5954721776350991
deviation 3/5   iterations 990/2000   F1 0.609262701596213   accuracy 0.7988636363636363   precision 0.6388018433179723   recall 0.597106159083875
deviation 3/5   iterations 1000/2000   F1 0.6114644738849003   accuracy 0.8125   precision 0.6300768049155145   recall 0.6010057635787626
deviation 3/5   iterations 1010/2000   F1 0.6040413956722706   accuracy 0.7875   precision 0.6405837173579109   recall 0.5923295454545454
deviation 3/5   iterations 1020/2000   F1 0.5778580780308982   accuracy 0.7397727272727272   precision 0.6381874039938555   recall 0.5752173913043479
deviation 3/5   iterations 1030/2000   F1 0.5858681794457136   accuracy 0.75   precision 0.6439938556067588   recall 0.5804557845082704
deviation 3/5   iterations 1040/2000   F1 0.6125110984386392   accuracy 0.7920454545454545   precision 0.6513978494623656   recall 0.5994318181818181
deviation 3/5   iterations 1050/2000   F1 0.6126605578008083   accuracy 0.8   precision 0.643563748079877   recall 0.5999606403641622
deviation 3/5   iterations 1060/2000   F1 0.6193606989921709   accuracy 0.8181818181818182   precision 0.6374193548387097   recall 0.6085690152331575
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deviation 3/5   iterations 1070/2000   F1 0.6124812715783988   accuracy 0.8079545454545455   precision 0.6357296466973886   recall 0.6008675799086758
deviation 3/5   iterations 1080/2000   F1 0.6177907145088657   accuracy 0.8056818181818182   precision 0.64678955453149   recall 0.6047108944913917
deviation 3/5   iterations 1090/2000   F1 0.6167205653371661   accuracy 0.8181818181818182   precision 0.6333026113671275   recall 0.6065663958503208
deviation 3/5   iterations 1100/2000   F1 0.6150136713895104   accuracy 0.8   precision 0.6476804915514593   recall 0.6018648018648018
deviation 3/5   iterations 1110/2000   F1 0.6116475806511934   accuracy 0.7988636363636363   precision 0.6429185867895546   recall 0.5990427851205886
deviation 3/5   iterations 1120/2000   F1 0.6209915031132434   accuracy 0.8284090909090909   precision 0.6308755760368664   recall 0.6136072708653354
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deviation 3/5   iterations 1130/2000   F1 0.620034542314335   accuracy 0.8363636363636363   precision 0.6230414746543779   recall 0.6172987031244508
deviation 3/5   iterations 1140/2000   F1 0.6202265167782409   accuracy 0.8136363636363636   precision 0.6430721966205837   recall 0.6080500412989207
deviation 3/5   iterations 1150/2000   F1 0.6076373749541201   accuracy 0.7943181818181818   precision 0.6403379416282642   recall 0.5954721776350991
deviation 3/5   iterations 1160/2000   F1 0.608276247055455   accuracy 0.7897727272727273   precision 0.6459907834101383   recall 0.5958806818181819
deviation 3/5   iterations 1170/2000   F1 0.6076373749541201   accuracy 0.7943181818181818   precision 0.6403379416282642   recall 0.5954721776350991
deviation 3/5   iterations 1180/2000   F1 0.6254102676121025   accuracy 0.8272727272727273   precision 0.6384639016897081   recall 0.616304875153542
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deviation 3/5   iterations 1190/2000   F1 0.6164102564102565   accuracy 0.8068181818181818   precision 0.6433179723502304   recall 0.6037819799777531
deviation 3/5   iterations 1200/2000   F1 0.6066449882602588   accuracy 0.7931818181818182   precision 0.6396927803379416   recall 0.5946038166096589
deviation 3/5   iterations 1210/2000   F1 0.6156590194530575   accuracy 0.8170454545454545   precision 0.632657450076805   recall 0.6054240400015626
deviation 3/5   iterations 1220/2000   F1 0.6161618392429244   accuracy 0.8204545454545454   precision 0.6304761904761904   recall 0.6068685770651528
deviation 3/5   iterations 1230/2000   F1 0.6115125864931525   accuracy 0.7909090909090909   precision 0.650752688172043   recall 0.5985887761088475
deviation 3/5   iterations 1240/2000   F1 0.6209915031132434   accuracy 0.8284090909090909   precision 0.6308755760368664   recall 0.6136072708653354
deviation 3/5   iterations 1250/2000   F1 0.6240981072873708   accuracy 0.8125   precision 0.6506605222734255   recall 0.6107938114517062
deviation 3/5   iterations 1260/2000   F1 0.6109675708068493   accuracy 0.7954545454545454   precision 0.6450998463901689   recall 0.5982656313717658
deviation 3/5   iterations 1270/2000   F1 0.6245093019286567   accuracy 0.8181818181818182   precision 0.6456528417818741   recall 0.6124621647009707
deviation 3/5   iterations 1280/2000   F1 0.6174493709470392   accuracy 0.8079545454545455   precision 0.643963133640553   recall 0.6047815820543093
deviation 3/5   iterations 1290/2000   F1 0.6138154411535707   accuracy 0.8238636363636364   precision 0.6241781874039939   recall 0.6063639425708391
deviation 3/5   iterations 1300/2000   F1 0.6199373347747986   accuracy 0.821590909090909   precision 0.6352380952380953   recall 0.6100896322676164
deviation 3/5   iterations 1310/2000   F1 0.6202265167782409   accuracy 0.8136363636363636   precision 0.6430721966205837   recall 0.6080500412989207
deviation 3/5   iterations 1320/2000   F1 0.631031050085014   accuracy 0.8147727272727273   precision 0.660184331797235   recall 0.6165879574970484
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deviation 3/5   iterations 1330/2000   F1 0.6226755732081602   accuracy 0.8272727272727273   precision 0.6343471582181259   recall 0.6143196243895808
deviation 3/5   iterations 1340/2000   F1 0.6225951229106286   accuracy 0.821590909090909   precision 0.6393548387096775   recall 0.612073055028463
deviation 3/5   iterations 1350/2000   F1 0.6176953642384105   accuracy 0.8136363636363636   precision 0.6389554531490016   recall 0.6060989913206661
deviation 3/5   iterations 1360/2000   F1 0.6172333640854298   accuracy 0.821590909090909   precision 0.6311213517665131   recall 0.6080659536541889
deviation 3/5   iterations 1370/2000   F1 0.62320387917612   accuracy 0.825   precision 0.637173579109063   recall 0.6137649181096424
deviation 3/5   iterations 1380/2000   F1 0.6088324145878103   accuracy 0.821590909090909   precision 0.6187711213517665   recall 0.6017325586291103
deviation 3/5   iterations 1390/2000   F1 0.6125055041831792   accuracy 0.8136363636363636   precision 0.6307219662058372   recall 0.6020883117880209
deviation 3/5   iterations 1400/2000   F1 0.6145523787542194   accuracy 0.8102272727272727   precision 0.6370199692780338   recall 0.602920543494314
deviation 3/5   iterations 1410/2000   F1 0.6119960185764564   accuracy 0.8102272727272727   precision 0.6329032258064516   recall 0.6009200851032063
deviation 3/5   iterations 1420/2000   F1 0.6114644738849003   accuracy 0.8125   precision 0.6300768049155145   recall 0.6010057635787626
deviation 3/5   iterations 1430/2000   F1 0.6140350877192983   accuracy 0.8181818181818182   precision 0.6291858678955453   recall 0.6045239870743226
deviation 3/5   iterations 1440/2000   F1 0.6243264759838931   accuracy 0.8318181818181818   precision 0.632811059907834   recall 0.6176787639238231
deviation 3/5   iterations 1450/2000   F1 0.6078952511237052   accuracy 0.8056818181818182   precision 0.6303225806451613   recall 0.5968493150684931
deviation 3/5   iterations 1460/2000   F1 0.6172310468150917   accuracy 0.8159090909090909   precision 0.6361290322580646   recall 0.6063110010652693
deviation 3/5   iterations 1470/2000   F1 0.6248934356351237   accuracy 0.8295454545454546   precision 0.6356374807987711   recall 0.616953642384106
deviation 3/5   iterations 1480/2000   F1 0.6169796036802844   accuracy 0.8363636363636363   precision 0.6189247311827957   recall 0.6151548685729245
deviation 3/5   iterations 1490/2000   F1 0.6155844155844156   accuracy 0.8318181818181818   precision 0.6204608294930876   recall 0.6114236999147485
deviation 3/5   iterations 1500/2000   F1 0.6193606989921709   accuracy 0.8181818181818182   precision 0.6374193548387097   recall 0.6085690152331575
deviation 3/5   iterations 1510/2000   F1 0.629894856493322   accuracy 0.8318181818181818   precision 0.6410445468509984   recall 0.621615894039735
deviation 3/5   iterations 1520/2000   F1 0.6129064234734338   accuracy 0.8386363636363636   precision 0.6119815668202765   recall 0.6138621284252352
deviation 3/5   iterations 1530/2000   F1 0.630589138361159   accuracy 0.8409090909090909   precision 0.6338556067588326   recall 0.627608102250495
deviation 3/5   iterations 1540/2000   F1 0.6237069318993896   accuracy 0.8340909090909091   precision 0.629984639016897   recall 0.6184875267444074
deviation 3/5   iterations 1550/2000   F1 0.6123133119961721   accuracy 0.8284090909090909   precision 0.6185253456221198   recall 0.6072667823301748
deviation 3/5   iterations 1560/2000   F1 0.6063323649530545   accuracy 0.8068181818181818   precision 0.6268509984639017   recall 0.5957995749459402
deviation 3/5   iterations 1570/2000   F1 0.6277180810559269   accuracy 0.8352272727272727   precision 0.6347465437788018   recall 0.6219471506739624
deviation 3/5   iterations 1580/2000   F1 0.614757244290923   accuracy 0.8340909090909091   precision 0.6176344086021506   recall 0.6121440035614287
deviation 3/5   iterations 1590/2000   F1 0.6144878704218228   accuracy 0.8306818181818182   precision 0.6198156682027649   recall 0.6100153457302763
deviation 3/5   iterations 1600/2000   F1 0.6183104230615241   accuracy 0.8227272727272728   precision 0.6317665130568356   recall 0.6092805674741895
deviation 3/5   iterations 1610/2000   F1 0.6271357244285649   accuracy 0.8318181818181818   precision 0.6369278033794163   recall 0.6196689972183738
deviation 3/5   iterations 1620/2000   F1 0.6335131833452103   accuracy 0.8465909090909091   precision 0.6329646697388633   recall 0.6340701823949246
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deviation 3/5   iterations 1630/2000   F1 0.6260114832044587   accuracy 0.8306818181818182   precision 0.6362826420890937   recall 0.6183009045912272
deviation 3/5   iterations 1640/2000   F1 0.6170583115752829   accuracy 0.8272727272727273   precision 0.6261136712749616   recall 0.6102179119545489
deviation 3/5   iterations 1650/2000   F1 0.6209915031132434   accuracy 0.8284090909090909   precision 0.6308755760368664   recall 0.6136072708653354
deviation 3/5   iterations 1660/2000   F1 0.6277180810559269   accuracy 0.8352272727272727   precision 0.6347465437788018   recall 0.6219471506739624
deviation 3/5   iterations 1670/2000   F1 0.6265811011904762   accuracy 0.8340909090909091   precision 0.6341013824884792   recall 0.6205015514747292
deviation 3/5   iterations 1680/2000   F1 0.6220970180019239   accuracy 0.8295454545454546   precision 0.6315207373271889   recall 0.6149434545864613
deviation 3/5   iterations 1690/2000   F1 0.6230349565568802   accuracy 0.8193181818181818   precision 0.6421812596006145   recall 0.6116795366795367
deviation 3/5   iterations 1700/2000   F1 0.6305465074194716   accuracy 0.8352272727272727   precision 0.638863287250384   recall 0.6239035087719298
deviation 3/5   iterations 1710/2000   F1 0.6200042517006803   accuracy 0.8522727272727273   precision 0.6114900153609831   recall 0.631502659767216
deviation 3/5   iterations 1720/2000   F1 0.6297034527052466   accuracy 0.8488636363636364   precision 0.626021505376344   recall 0.6338143953233467
deviation 3/5   iterations 1730/2000   F1 0.6189122273624604   accuracy 0.8352272727272727   precision 0.6223963133640553   recall 0.6157924107142857
deviation 3/5   iterations 1740/2000   F1 0.6114721212282839   accuracy 0.8306818181818182   precision 0.6156989247311828   recall 0.6078168659246026
deviation 3/5   iterations 1750/2000   F1 0.6151220344768731   accuracy 0.8136363636363636   precision 0.6348387096774193   recall 0.6041123056048429
deviation 3/5   iterations 1760/2000   F1 0.6259740259740258   accuracy 0.8363636363636363   precision 0.6312749615975423   recall 0.6214265416311452
deviation 3/5   iterations 1770/2000   F1 0.6268072446369852   accuracy 0.8522727272727273   precision 0.6197235023041474   recall 0.6356913048928258
deviation 3/5   iterations 1780/2000   F1 0.6237814942850914   accuracy 0.8284090909090909   precision 0.6349923195084486   recall 0.6156267104542967
deviation 3/5   iterations 1790/2000   F1 0.6209915031132434   accuracy 0.8284090909090909   precision 0.6308755760368664   recall 0.6136072708653354
deviation 3/5   iterations 1800/2000   F1 0.6196625298792482   accuracy 0.8329545454545455   precision 0.6252227342549923   recall 0.6149801408196425
deviation 3/5   iterations 1810/2000   F1 0.6194991150057081   accuracy 0.8420454545454545   precision 0.6180337941628264   recall 0.6210368466152528
deviation 3/5   iterations 1820/2000   F1 0.6247788973891324   accuracy 0.8238636363636364   precision 0.6406451612903226   recall 0.6144912168380617
deviation 3/5   iterations 1830/2000   F1 0.6184931718948379   accuracy 0.8090909090909091   precision 0.6446082949308756   recall 0.6057933489764544
deviation 3/5   iterations 1840/2000   F1 0.62850950148697   accuracy 0.8477272727272728   precision 0.6253763440860215   recall 0.6319533361786883
deviation 3/5   iterations 1850/2000   F1 0.6276923076923078   accuracy 0.85   precision 0.6225499231950845   recall 0.6337244384847469
deviation 3/5   iterations 1860/2000   F1 0.6241186902547688   accuracy 0.8204545454545454   precision 0.642826420890937   recall 0.6128409013679744
deviation 3/5   iterations 1870/2000   F1 0.6220970180019239   accuracy 0.8295454545454546   precision 0.6315207373271889   recall 0.6149434545864613
deviation 3/5   iterations 1880/2000   F1 0.6234420095232025   accuracy 0.8397727272727272   precision 0.6249769585253456   recall 0.6219775474956822
deviation 3/5   iterations 1890/2000   F1 0.6311333714764762   accuracy 0.8443181818181819   precision 0.6316743471582181   recall 0.6306006533079811
deviation 3/5   iterations 1900/2000   F1 0.6189122273624604   accuracy 0.8352272727272727   precision 0.6223963133640553   recall 0.6157924107142857
deviation 3/5   iterations 1910/2000   F1 0.6299546584759397   accuracy 0.8431818181818181   precision 0.6310291858678956   recall 0.6289127201944119
deviation 3/5   iterations 1920/2000   F1 0.6299546584759397   accuracy 0.8431818181818181   precision 0.6310291858678956   recall 0.6289127201944119
deviation 3/5   iterations 1930/2000   F1 0.6264619552946489   accuracy 0.8397727272727272   precision 0.6290937019969278   recall 0.624025974025974
deviation 3/5   iterations 1940/2000   F1 0.6237069318993896   accuracy 0.8340909090909091   precision 0.629984639016897   recall 0.6184875267444074
deviation 3/5   iterations 1950/2000   F1 0.6237814942850914   accuracy 0.8284090909090909   precision 0.6349923195084486   recall 0.6156267104542967
deviation 3/5   iterations 1960/2000   F1 0.6311333714764762   accuracy 0.8443181818181819   precision 0.6316743471582181   recall 0.6306006533079811
deviation 3/5   iterations 1970/2000   F1 0.6051282051282051   accuracy 0.8409090909090909   precision 0.6009216589861751   recall 0.6101240362051625
deviation 3/5   iterations 1980/2000   F1 0.6162810759940397   accuracy 0.8420454545454545   precision 0.6139170506912442   recall 0.6188461538461538
deviation 3/5   iterations 1990/2000   F1 0.6214657738095237   accuracy 0.8318181818181818   precision 0.628694316436252   recall 0.6156428405790699
deviation 3/5   iterations 2000/2000   F1 0.6258503401360545   accuracy 0.8545454545454545   precision 0.6168970814132104   recall 0.6378803032279572

deviation 4/5   iterations 10/2000   F1 0.5317360035547688   accuracy 0.6693181818181818   precision 0.6105376344086022   recall 0.5518635116123527
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deviation 4/5   iterations 20/2000   F1 0.5260809355285428   accuracy 0.6659090909090909   precision 0.60036866359447   recall 0.5471698113207547
deviation 4/5   iterations 30/2000   F1 0.44503057525400236   accuracy 0.5170454545454546   precision 0.5776036866359446   recall 0.5326734824810117
deviation 4/5   iterations 40/2000   F1 0.4929695913359301   accuracy 0.5920454545454545   precision 0.6078341013824884   recall 0.5460185437687483
deviation 4/5   iterations 50/2000   F1 0.48564351430593466   accuracy 0.5795454545454546   precision 0.6048540706605223   recall 0.5444588602483339
deviation 4/5   iterations 60/2000   F1 0.5098686624110353   accuracy 0.6204545454545455   precision 0.6157296466973887   recall 0.5504389136151593
deviation 4/5   iterations 70/2000   F1 0.4387039163158566   accuracy 0.4943181818181818   precision 0.605867895545315   recall 0.5452858554637398
deviation 4/5   iterations 80/2000   F1 0.5312773801778357   accuracy 0.6511363636363636   precision 0.6331490015360983   recall 0.5596969696969697
deviation 4/5   iterations 90/2000   F1 0.5213298750920391   accuracy 0.6272727272727273   precision 0.640184331797235   recall 0.5608857861111556
deviation 4/5   iterations 100/2000   F1 0.5240128675947278   accuracy 0.6329545454545454   precision 0.6392933947772658   recall 0.560874095078516
deviation 4/5   iterations 110/2000   F1 0.5319116600694948   accuracy 0.65   precision 0.636620583717358   recall 0.5610345262996086
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deviation 4/5   iterations 120/2000   F1 0.5470588235294118   accuracy 0.6818181818181818   precision 0.6341013824884792   recall 0.5632333767926989
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deviation 4/5   iterations 130/2000   F1 0.568799931007989   accuracy 0.7159090909090909   precision 0.6452227342549923   recall 0.5731466523065877
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deviation 4/5   iterations 140/2000   F1 0.5937184265287414   accuracy 0.7647727272727273   precision 0.644147465437788   recall 0.5850591715976332
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deviation 4/5   iterations 150/2000   F1 0.570915354422647   accuracy 0.7034090909090909   precision 0.6669431643625192   recall 0.5799663299663299
deviation 4/5   iterations 160/2000   F1 0.5062755703487969   accuracy 0.5954545454545455   precision 0.6468202764976958   recall 0.5622009693928018
deviation 4/5   iterations 170/2000   F1 0.5809061998173746   accuracy 0.725   precision 0.6627342549923195   recall 0.5823338866817128
deviation 4/5   iterations 180/2000   F1 0.5827190207126292   accuracy 0.7295454545454545   precision 0.6611981566820276   recall 0.5826919076346994
deviation 4/5   iterations 190/2000   F1 0.546281463445757   accuracy 0.6602272727272728   precision 0.663010752688172   recall 0.5727391371103946
deviation 4/5   iterations 200/2000   F1 0.5512634204155653   accuracy 0.6670454545454545   precision 0.6668817204301075   recall 0.5750044185224461
deviation 4/5   iterations 210/2000   F1 0.5510458590782834   accuracy 0.6829545454545455   precision 0.6429800307219662   recall 0.5670852648815702
deviation 4/5   iterations 220/2000   F1 0.5670889189521584   accuracy 0.7090909090909091   precision 0.6495852534562212   recall 0.5737552942031883
deviation 4/5   iterations 230/2000   F1 0.5871137793477649   accuracy 0.7443181818181818   precision 0.6531182795698924   recall 0.5828810131971052
deviation 4/5   iterations 240/2000   F1 0.5457311178086954   accuracy 0.6693181818181818   precision 0.6475883256528419   recall 0.5673871083580214
deviation 4/5   iterations 250/2000   F1 0.5584383001645525   accuracy 0.6909090909090909   precision 0.6516129032258065   recall 0.5717334046548948
deviation 4/5   iterations 260/2000   F1 0.573920857736048   accuracy 0.7159090909090909   precision 0.6575729646697389   recall 0.5783431395910088
deviation 4/5   iterations 270/2000   F1 0.5585317091660411   accuracy 0.6931818181818182   precision 0.6487864823348695   recall 0.570887417373638
deviation 4/5   iterations 280/2000   F1 0.5704042715484364   accuracy 0.7090909090909091   precision 0.6578187403993856   recall 0.5771900826446281
deviation 4/5   iterations 290/2000   F1 0.5790133537887974   accuracy 0.7363636363636363   precision 0.6444854070660522   recall 0.5771535064406691
deviation 4/5   iterations 300/2000   F1 0.5653503304560529   accuracy 0.7136363636363636   precision 0.6398156682027649   recall 0.5704231890516778
deviation 4/5   iterations 310/2000   F1 0.5645387171163873   accuracy 0.7056818181818182   precision 0.6476497695852534   recall 0.5723603382236034
deviation 4/5   iterations 320/2000   F1 0.567956935412822   accuracy 0.7125   precision 0.6474039938556068   recall 0.5734429722514756
deviation 4/5   iterations 330/2000   F1 0.5696687376650905   accuracy 0.7147727272727272   precision 0.648694316436252   recall 0.5744047619047619
deviation 4/5   iterations 340/2000   F1 0.5774603174603175   accuracy 0.725   precision 0.6545007680491551   recall 0.5788862745098039
deviation 4/5   iterations 350/2000   F1 0.5800914806407238   accuracy 0.7284090909090909   precision 0.6564362519201229   recall 0.580439288241836
deviation 4/5   iterations 360/2000   F1 0.6024137139829355   accuracy 0.7829545454545455   precision 0.6421198156682028   recall 0.5910371863093926
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deviation 4/5   iterations 370/2000   F1 0.5659098276323763   accuracy 0.7215909090909091   precision 0.6319815668202764   recall 0.5685228664761127
deviation 4/5   iterations 380/2000   F1 0.5567647058823529   accuracy 0.6886363636363636   precision 0.6503225806451614   recall 0.5708822251195133
deviation 4/5   iterations 390/2000   F1 0.5383808358104564   accuracy 0.6590909090909091   precision 0.6417818740399386   recall 0.563963963963964
deviation 4/5   iterations 400/2000   F1 0.5417932969204939   accuracy 0.6659090909090909   precision 0.6415360983102919   recall 0.5645342940869945
deviation 4/5   iterations 410/2000   F1 0.5490249646894547   accuracy 0.6738636363636363   precision 0.650168970814132   recall 0.5689553990610329
deviation 4/5   iterations 420/2000   F1 0.55483288166215   accuracy 0.6818181818181818   precision 0.6546850998463902   recall 0.5717747683535281
deviation 4/5   iterations 430/2000   F1 0.5721323464409994   accuracy 0.725   precision 0.6421505376344085   recall 0.5736225408766603
deviation 4/5   iterations 440/2000   F1 0.5577633346348354   accuracy 0.6943181818181818   precision 0.6453149001536098   recall 0.5696063196063196
deviation 4/5   iterations 450/2000   F1 0.5476508687159454   accuracy 0.6761363636363636   precision 0.6432258064516129   recall 0.5663558106169297
deviation 4/5   iterations 460/2000   F1 0.5544753296878824   accuracy 0.6920454545454545   precision 0.6399078341013824   recall 0.5670163170163169
deviation 4/5   iterations 470/2000   F1 0.5628499799942399   accuracy 0.7079545454545455   precision 0.6407066052227343   recall 0.5698102624134231
deviation 4/5   iterations 480/2000   F1 0.5660359653483631   accuracy 0.7193181818181819   precision 0.6348079877112136   recall 0.5693180669295319
deviation 4/5   iterations 490/2000   F1 0.5798712804928433   accuracy 0.7636363636363637   precision 0.6188018433179724   recall 0.5729121886100866
deviation 4/5   iterations 500/2000   F1 0.5750434614641684   accuracy 0.7386363636363636   precision 0.6334254992319508   recall 0.5728305126811959
deviation 4/5   iterations 510/2000   F1 0.5698425849212925   accuracy 0.7318181818181818   precision 0.6295545314900154   recall 0.569553026554511
deviation 4/5   iterations 520/2000   F1 0.5681257681109214   accuracy 0.7295454545454545   precision 0.6282642089093702   recall 0.568491577586603
deviation 4/5   iterations 530/2000   F1 0.5843356950623387   accuracy 0.7556818181818182   precision 0.6348694316436252   recall 0.578002842928216
deviation 4/5   iterations 540/2000   F1 0.5754489413025998   accuracy 0.7443181818181818   precision 0.6284178187403994   recall 0.5719696969696969
deviation 4/5   iterations 550/2000   F1 0.5757214488586557   accuracy 0.75   precision 0.623410138248848   recall 0.5711431789683973
deviation 4/5   iterations 560/2000   F1 0.5617086089704244   accuracy 0.7261363636363637   precision 0.618095238095238   recall 0.5632303400357932
deviation 4/5   iterations 570/2000   F1 0.5596590909090909   accuracy 0.7181818181818181   precision 0.6218125960061445   recall 0.5633990188741997
deviation 4/5   iterations 580/2000   F1 0.570484420005237   accuracy 0.7352272727272727   precision 0.627373271889401   recall 0.5693311036789298
deviation 4/5   iterations 590/2000   F1 0.5645833333333334   accuracy 0.740909090909091   precision 0.6100153609831029   recall 0.5626158419304074
deviation 4/5   iterations 600/2000   F1 0.5853084991228398   accuracy 0.7704545454545455   precision 0.6226728110599078   recall 0.57703081232493
deviation 4/5   iterations 610/2000   F1 0.5853084991228398   accuracy 0.7704545454545455   precision 0.6226728110599078   recall 0.57703081232493
deviation 4/5   iterations 620/2000   F1 0.5882956785581265   accuracy 0.7659090909090909   precision 0.6324423963133641   recall 0.5800997391323736
deviation 4/5   iterations 630/2000   F1 0.5771333885666943   accuracy 0.7363636363636363   precision 0.6403686635944701   recall 0.5753587333003464
deviation 4/5   iterations 640/2000   F1 0.5803014198893522   accuracy 0.7613636363636364   precision 0.6216282642089094   recall 0.5735594681570557
deviation 4/5   iterations 650/2000   F1 0.583419565863812   accuracy 0.7738636363636363   precision 0.6163748079877112   recall 0.5751587301587302
deviation 4/5   iterations 660/2000   F1 0.5728300858427579   accuracy 0.740909090909091   precision 0.6264823348694316   recall 0.5702506978998164
deviation 4/5   iterations 670/2000   F1 0.584790294537769   accuracy 0.7511363636363636   precision 0.6405222734254992   recall 0.579235843565509
deviation 4/5   iterations 680/2000   F1 0.6038573886599176   accuracy 0.7954545454545454   precision 0.6327496159754225   recall 0.5924309708995388
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deviation 4/5   iterations 690/2000   F1 0.5903991401069109   accuracy 0.7795454545454545   precision 0.6237173579109063   recall 0.5809082945568227
deviation 4/5   iterations 700/2000   F1 0.6089134276542125   accuracy 0.8068181818181818   precision 0.6309677419354839   recall 0.5978479420486784
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deviation 4/5   iterations 710/2000   F1 0.5960173694469322   accuracy 0.7920454545454545   precision 0.6225806451612903   recall 0.585757763334365
deviation 4/5   iterations 720/2000   F1 0.5740639269406393   accuracy 0.759090909090909   precision 0.6121044546850999   recall 0.5682949653752574
deviation 4/5   iterations 730/2000   F1 0.5880682820574944   accuracy 0.7738636363636363   precision 0.6246082949308756   recall 0.5791791604197901
deviation 4/5   iterations 740/2000   F1 0.5951225805823399   accuracy 0.7852272727272728   precision 0.6269431643625192   recall 0.5848278806989884
deviation 4/5   iterations 750/2000   F1 0.5994558040894722   accuracy 0.7931818181818182   precision 0.627342549923195   recall 0.5886661361672271
deviation 4/5   iterations 760/2000   F1 0.5786905566085377   accuracy 0.7511363636363636   precision 0.6281720430107527   recall 0.5736498700711784
deviation 4/5   iterations 770/2000   F1 0.5617086089704244   accuracy 0.7261363636363637   precision 0.618095238095238   recall 0.5632303400357932
deviation 4/5   iterations 780/2000   F1 0.5651688796085245   accuracy 0.7534090909090909   precision 0.6006451612903225   recall 0.5610902255639098
deviation 4/5   iterations 790/2000   F1 0.589414355567168   accuracy 0.7727272727272727   precision 0.6280798771121352   recall 0.5804261098378746
deviation 4/5   iterations 800/2000   F1 0.595031833837804   accuracy 0.7795454545454545   precision 0.6319508448540707   recall 0.584868675851058
deviation 4/5   iterations 810/2000   F1 0.5871871480140782   accuracy 0.7875   precision 0.6117665130568356   recall 0.578192166168025
deviation 4/5   iterations 820/2000   F1 0.5990463576158941   accuracy 0.8045454545454546   precision 0.6173271889400922   recall 0.5895847994370162
deviation 4/5   iterations 830/2000   F1 0.6037086092715233   accuracy 0.8068181818181818   precision 0.6227342549923195   recall 0.5937133474079287
deviation 4/5   iterations 840/2000   F1 0.6014131714829242   accuracy 0.7954545454545454   precision 0.6286328725038403   recall 0.5904249345623235
deviation 4/5   iterations 850/2000   F1 0.5848206374522164   accuracy 0.7670454545454546   precision 0.6248540706605223   recall 0.5769137596899224
deviation 4/5   iterations 860/2000   F1 0.5809304401377284   accuracy 0.7829545454545455   precision 0.6050691244239632   recall 0.5728130535495299
deviation 4/5   iterations 870/2000   F1 0.5735083829979175   accuracy 0.7704545454545455   precision 0.6020890937019969   recall 0.5667639093152028
deviation 4/5   iterations 880/2000   F1 0.594087299616086   accuracy 0.7784090909090909   precision 0.631305683563748   recall 0.58411001605844
deviation 4/5   iterations 890/2000   F1 0.5890704865274183   accuracy 0.7897727272727273   precision 0.6130568356374808   recall 0.5798611111111112
deviation 4/5   iterations 900/2000   F1 0.5890704865274183   accuracy 0.7897727272727273   precision 0.6130568356374808   recall 0.5798611111111112
deviation 4/5   iterations 910/2000   F1 0.6067354148924509   accuracy 0.8193181818181818   precision 0.6174807987711214   recall 0.5993184840425532
deviation 4/5   iterations 920/2000   F1 0.6116821392334264   accuracy 0.821590909090909   precision 0.6228878648233487   recall 0.6038896276595744
update
deviation 4/5   iterations 930/2000   F1 0.6114721212282839   accuracy 0.8306818181818182   precision 0.6156989247311828   recall 0.6078168659246026
deviation 4/5   iterations 940/2000   F1 0.5997113906578411   accuracy 0.8022727272727272   precision 0.6201536098310292   recall 0.5897685435966177
deviation 4/5   iterations 950/2000   F1 0.5715082129944792   accuracy 0.7647727272727273   precision 0.6029800307219662   recall 0.5654360319840079
deviation 4/5   iterations 960/2000   F1 0.5969844289438455   accuracy 0.7931818181818182   precision 0.623225806451613   recall 0.5866239342081393
deviation 4/5   iterations 970/2000   F1 0.6141731374969713   accuracy 0.8272727272727273   precision 0.6219969278033795   recall 0.6080967780572524
update
deviation 4/5   iterations 980/2000   F1 0.5936033336555294   accuracy 0.8045454545454546   precision 0.6090937019969278   recall 0.5851975546790277
deviation 4/5   iterations 990/2000   F1 0.5813073166650982   accuracy 0.7931818181818182   precision 0.5985253456221198   recall 0.5736097466924963
deviation 4/5   iterations 1000/2000   F1 0.585032075527306   accuracy 0.7818181818181819   precision 0.6126574500768049   recall 0.5762947427991245
deviation 4/5   iterations 1010/2000   F1 0.586007830129253   accuracy 0.7988636363636363   precision 0.6017511520737326   recall 0.578125
deviation 4/5   iterations 1020/2000   F1 0.586007830129253   accuracy 0.7988636363636363   precision 0.6017511520737326   recall 0.578125
deviation 4/5   iterations 1030/2000   F1 0.6046599232647366   accuracy 0.8170454545454545   precision 0.6161904761904762   recall 0.596974358974359
deviation 4/5   iterations 1040/2000   F1 0.5869602321215225   accuracy 0.8   precision 0.6023963133640553   recall 0.5790627283164597
deviation 4/5   iterations 1050/2000   F1 0.5928533235813171   accuracy 0.8102272727272727   precision 0.6040860215053764   recall 0.5857843137254901
deviation 4/5   iterations 1060/2000   F1 0.593512967754149   accuracy 0.7920454545454545   precision 0.6184639016897081   recall 0.5836805555555555
deviation 4/5   iterations 1070/2000   F1 0.5985565957074839   accuracy 0.8102272727272727   precision 0.6123195084485408   recall 0.5903304870335231
deviation 4/5   iterations 1080/2000   F1 0.6019421922953598   accuracy 0.8204545454545454   precision 0.6098924731182795   recall 0.5960412840588115
deviation 4/5   iterations 1090/2000   F1 0.6194991150057081   accuracy 0.8420454545454545   precision 0.6180337941628264   recall 0.6210368466152528
update
deviation 4/5   iterations 1100/2000   F1 0.5887646035297042   accuracy 0.7863636363636364   precision 0.6152380952380953   recall 0.5794871794871794
deviation 4/5   iterations 1110/2000   F1 0.571233677645683   accuracy 0.7613636363636364   precision 0.6051612903225807   recall 0.5655250040199389
deviation 4/5   iterations 1120/2000   F1 0.6015857065559469   accuracy 0.8136363636363636   precision 0.6142549923195084   recall 0.593582349447917
deviation 4/5   iterations 1130/2000   F1 0.5906857077549111   accuracy 0.8011363636363636   precision 0.60715821812596   recall 0.5822765700483092
deviation 4/5   iterations 1140/2000   F1 0.5936033336555294   accuracy 0.8045454545454546   precision 0.6090937019969278   recall 0.5851975546790277
deviation 4/5   iterations 1150/2000   F1 0.6177964992443984   accuracy 0.8340909090909091   precision 0.6217511520737327   recall 0.614311592112702
deviation 4/5   iterations 1160/2000   F1 0.6080358400073564   accuracy 0.8238636363636364   precision 0.6159447004608295   recall 0.6020264717332064
deviation 4/5   iterations 1170/2000   F1 0.6061197916666666   accuracy 0.825   precision 0.6124731182795699   recall 0.6010667078920925
deviation 4/5   iterations 1180/2000   F1 0.5849651488502379   accuracy 0.7943181818181818   precision 0.6032872503840246   recall 0.57675799086758
deviation 4/5   iterations 1190/2000   F1 0.5919240921737889   accuracy 0.7931818181818182   precision 0.6149923195084486   recall 0.582436944437103
deviation 4/5   iterations 1200/2000   F1 0.6155844155844156   accuracy 0.8318181818181818   precision 0.6204608294930876   recall 0.6114236999147485
deviation 4/5   iterations 1210/2000   F1 0.5791028427409861   accuracy 0.7806818181818181   precision 0.603778801843318   recall 0.5712513921231143
deviation 4/5   iterations 1220/2000   F1 0.60093657742034   accuracy 0.8329545454545455   precision 0.6005222734254992   recall 0.6013580491673275
deviation 4/5   iterations 1230/2000   F1 0.6020770171557248   accuracy 0.8306818181818182   precision 0.6033486943164363   recall 0.6008683554020342
deviation 4/5   iterations 1240/2000   F1 0.5989253502206869   accuracy 0.8272727272727273   precision 0.6014132104454686   recall 0.5966799048723626
deviation 4/5   iterations 1250/2000   F1 0.5938833348905291   accuracy 0.8147727272727273   precision 0.6025499231950845   recall 0.5878384068039241
deviation 4/5   iterations 1260/2000   F1 0.5918682847646286   accuracy 0.8090909090909091   precision 0.6034408602150537   recall 0.5847248643697597
deviation 4/5   iterations 1270/2000   F1 0.5984158744443274   accuracy 0.8375   precision 0.5948694316436252   recall 0.6025722789115646
deviation 4/5   iterations 1280/2000   F1 0.5928868026719625   accuracy 0.8136363636363636   precision 0.6019047619047619   recall 0.5867135134004664
deviation 4/5   iterations 1290/2000   F1 0.5928533235813171   accuracy 0.8102272727272727   precision 0.6040860215053764   recall 0.5857843137254901
deviation 4/5   iterations 1300/2000   F1 0.5883845935604579   accuracy 0.7920454545454545   precision 0.6102304147465438   recall 0.5794198895027625
deviation 4/5   iterations 1310/2000   F1 0.588762247233729   accuracy 0.7988636363636363   precision 0.605867895545315   recall 0.5803908028815647
deviation 4/5   iterations 1320/2000   F1 0.590887959088796   accuracy 0.8079545454545455   precision 0.6027956989247312   recall 0.5836801248449441
deviation 4/5   iterations 1330/2000   F1 0.5977028754100221   accuracy 0.8443181818181819   precision 0.5905069124423963   recall 0.6078583562767266
deviation 4/5   iterations 1340/2000   F1 0.605284178187404   accuracy 0.8340909090909091   precision 0.605284178187404   recall 0.605284178187404
deviation 4/5   iterations 1350/2000   F1 0.5958373940025317   accuracy 0.8136363636363636   precision 0.606021505376344   recall 0.5890543874317448
deviation 4/5   iterations 1360/2000   F1 0.6042088000514015   accuracy 0.8329545454545455   precision 0.6046390168970814   recall 0.603785773487397
deviation 4/5   iterations 1370/2000   F1 0.5921249506176295   accuracy 0.8306818181818182   precision 0.5909984639016896   recall 0.5933136750844297
deviation 4/5   iterations 1380/2000   F1 0.5957006927736336   accuracy 0.8272727272727273   precision 0.5972964669738864   recall 0.5942122109972751
deviation 4/5   iterations 1390/2000   F1 0.5938431424885449   accuracy 0.8113636363636364   precision 0.6047311827956989   recall 0.5868588142969251
deviation 4/5   iterations 1400/2000   F1 0.6095937143364164   accuracy 0.8352272727272727   precision 0.6100460829493087   recall 0.6091487494515138
deviation 4/5   iterations 1410/2000   F1 0.6   accuracy 0.825   precision 0.6042396313364056   recall 0.5964194373401535
deviation 4/5   iterations 1420/2000   F1 0.5860547601539858   accuracy 0.8022727272727272   precision 0.5995698924731183   recall 0.5786658122894397
deviation 4/5   iterations 1430/2000   F1 0.5869602321215225   accuracy 0.8   precision 0.6023963133640553   recall 0.5790627283164597
deviation 4/5   iterations 1440/2000   F1 0.5957006927736336   accuracy 0.8272727272727273   precision 0.5972964669738864   recall 0.5942122109972751
deviation 4/5   iterations 1450/2000   F1 0.6002685942252242   accuracy 0.8431818181818181   precision 0.5939784946236559   recall 0.6086308044148354
deviation 4/5   iterations 1460/2000   F1 0.605284178187404   accuracy 0.8340909090909091   precision 0.605284178187404   recall 0.605284178187404
deviation 4/5   iterations 1470/2000   F1 0.5989253502206869   accuracy 0.8272727272727273   precision 0.6014132104454686   recall 0.5966799048723626
deviation 4/5   iterations 1480/2000   F1 0.6002685942252242   accuracy 0.8431818181818181   precision 0.5939784946236559   recall 0.6086308044148354
deviation 4/5   iterations 1490/2000   F1 0.6007863299561469   accuracy 0.8363636363636363   precision 0.5983410138248848   recall 0.6034997865983781
deviation 4/5   iterations 1500/2000   F1 0.5866386968965809   accuracy 0.8170454545454545   precision 0.5914900153609831   recall 0.5827995017571956
deviation 4/5   iterations 1510/2000   F1 0.6041533905611576   accuracy 0.8363636363636363   precision 0.602457757296467   recall 0.6059685557772722
deviation 4/5   iterations 1520/2000   F1 0.5931576514100786   accuracy 0.8318181818181818   precision 0.5916436251920123   recall 0.5947838686307655
deviation 4/5   iterations 1530/2000   F1 0.6107599403968317   accuracy 0.8397727272727272   precision 0.608509984639017   recall 0.6132051282051282
deviation 4/5   iterations 1540/2000   F1 0.618100761431333   accuracy 0.8375   precision 0.6195698924731182   recall 0.6167002494722702
deviation 4/5   iterations 1550/2000   F1 0.6054954756124475   accuracy 0.8522727272727273   precision 0.5950230414746543   recall 0.6221969373725881
deviation 4/5   iterations 1560/2000   F1 0.6007662062707935   accuracy 0.8159090909090909   precision 0.6114285714285714   recall 0.5935961353853776
deviation 4/5   iterations 1570/2000   F1 0.5998863313441318   accuracy 0.8181818181818182   precision 0.6086021505376344   recall 0.5936423841059603
deviation 4/5   iterations 1580/2000   F1 0.6027423508741162   accuracy 0.8420454545454545   precision 0.5974500768049156   recall 0.6093853453983669
deviation 4/5   iterations 1590/2000   F1 0.5998771121351767   accuracy 0.8318181818181818   precision 0.5998771121351767   recall 0.5998771121351767
deviation 4/5   iterations 1600/2000   F1 0.609651260136697   accuracy 0.8386363636363636   precision 0.6078648233486943   recall 0.6115608993505256
deviation 4/5   iterations 1610/2000   F1 0.6096489968374932   accuracy 0.8420454545454545   precision 0.6056835637480799   recall 0.6142644557823129
deviation 4/5   iterations 1620/2000   F1 0.5989431297665886   accuracy 0.8204545454545454   precision 0.6057757296466973   recall 0.593723799257396
deviation 4/5   iterations 1630/2000   F1 0.5937892325921221   accuracy 0.821590909090909   precision 0.5981874039938556   recall 0.5901561653728109
deviation 4/5   iterations 1640/2000   F1 0.6062310270120622   accuracy 0.8420454545454545   precision 0.6015668202764977   recall 0.6118645444209843
deviation 4/5   iterations 1650/2000   F1 0.5894093232496275   accuracy 0.8477272727272728   precision 0.5800921658986176   recall 0.6054082903397973
deviation 4/5   iterations 1660/2000   F1 0.6125608348504861   accuracy 0.8318181818181818   precision 0.6163440860215054   recall 0.6092349228692412
deviation 4/5   iterations 1670/2000   F1 0.5913945209719857   accuracy 0.8261363636363637   precision 0.5925345622119815   recall 0.5903137593552101
deviation 4/5   iterations 1680/2000   F1 0.6107692307692307   accuracy 0.8431818181818181   precision 0.6063287250384024   recall 0.6160241367750587
deviation 4/5   iterations 1690/2000   F1 0.6116598759536217   accuracy 0.8340909090909091   precision 0.6135176651305684   recall 0.6099192041790121
deviation 4/5   iterations 1700/2000   F1 0.6107599403968317   accuracy 0.8397727272727272   precision 0.608509984639017   recall 0.6132051282051282
deviation 4/5   iterations 1710/2000   F1 0.5848820687695369   accuracy 0.8113636363636364   precision 0.5923809523809525   recall 0.5796556291390729
deviation 4/5   iterations 1720/2000   F1 0.6020434659563356   accuracy 0.8238636363636364   precision 0.6077112135176651   recall 0.5974798701009831
deviation 4/5   iterations 1730/2000   F1 0.5997176692024155   accuracy 0.8352272727272727   precision 0.5976958525345621   recall 0.6019230769230769
deviation 4/5   iterations 1740/2000   F1 0.5894093232496275   accuracy 0.8477272727272728   precision 0.5800921658986176   recall 0.6054082903397973
deviation 4/5   iterations 1750/2000   F1 0.5861665755792524   accuracy 0.8318181818181818   precision 0.5834101382488479   recall 0.5893668286131848
deviation 4/5   iterations 1760/2000   F1 0.5970264134766216   accuracy 0.8397727272727272   precision 0.5920430107526882   recall 0.6033160450231737
deviation 4/5   iterations 1770/2000   F1 0.59264873727469   accuracy 0.8511363636363637   precision 0.5820276497695852   recall 0.6119140232043458
deviation 4/5   iterations 1780/2000   F1 0.5858516424747362   accuracy 0.8125   precision 0.593026113671275   recall 0.5807518347840929
deviation 4/5   iterations 1790/2000   F1 0.590724868779483   accuracy 0.8329545454545455   precision 0.5881720430107527   recall 0.5936244062842528
deviation 4/5   iterations 1800/2000   F1 0.5913104760791267   accuracy 0.8375   precision 0.5866359447004608   recall 0.5972467446479806
deviation 4/5   iterations 1810/2000   F1 0.585427135678392   accuracy 0.8568181818181818   precision 0.5729032258064516   recall 0.6152590779273766
deviation 4/5   iterations 1820/2000   F1 0.6013636168249947   accuracy 0.8443181818181819   precision 0.5946236559139785   recall 0.610479797979798
deviation 4/5   iterations 1830/2000   F1 0.6041533905611576   accuracy 0.8363636363636363   precision 0.602457757296467   recall 0.6059685557772722
deviation 4/5   iterations 1840/2000   F1 0.5961257993343554   accuracy 0.8465909090909091   precision 0.5876804915514593   recall 0.6090378384986858
deviation 4/5   iterations 1850/2000   F1 0.5896970613438177   accuracy 0.8318181818181818   precision 0.5875268817204301   recall 0.5921183667662541
deviation 4/5   iterations 1860/2000   F1 0.5937442293214392   accuracy 0.8522727272727273   precision 0.5826728110599079   recall 0.6141976880378877
deviation 4/5   iterations 1870/2000   F1 0.5858516424747362   accuracy 0.8125   precision 0.593026113671275   recall 0.5807518347840929
deviation 4/5   iterations 1880/2000   F1 0.6005652863935308   accuracy 0.8397727272727272   precision 0.5961597542242704   recall 0.6059092631692924
deviation 4/5   iterations 1890/2000   F1 0.6046932618169628   accuracy 0.8477272727272728   precision 0.5965591397849462   recall 0.6162782093969663
deviation 4/5   iterations 1900/2000   F1 0.5901424778430127   accuracy 0.8443181818181819   precision 0.5822734254992319   recall 0.6023137111070359
deviation 4/5   iterations 1910/2000   F1 0.5800840232381983   accuracy 0.8375   precision 0.5742857142857143   recall 0.5885273270458673
deviation 4/5   iterations 1920/2000   F1 0.5876597818345392   accuracy 0.8295454545454546   precision 0.5862365591397849   recall 0.5891915250575122
deviation 4/5   iterations 1930/2000   F1 0.5944433471591284   accuracy 0.8488636363636364   precision 0.5848540706605223   recall 0.610381098535712
deviation 4/5   iterations 1940/2000   F1 0.5972182372149581   accuracy 0.8477272727272728   precision 0.588325652841782   recall 0.6110570311655001
deviation 4/5   iterations 1950/2000   F1 0.6034249662009914   accuracy 0.8579545454545454   precision 0.5900153609831029   recall 0.6291887125220459
deviation 4/5   iterations 1960/2000   F1 0.6021091208256983   accuracy 0.8488636363636364   precision 0.5930875576036867   recall 0.6157619658903356
deviation 4/5   iterations 1970/2000   F1 0.588344750875807   accuracy 0.8465909090909091   precision 0.5794470046082949   recall 0.6033474007289469
deviation 4/5   iterations 1980/2000   F1 0.5811752848623982   accuracy 0.8261363636363637   precision 0.580184331797235   recall 0.5822244064721004
deviation 4/5   iterations 1990/2000   F1 0.5923586826034761   accuracy 0.8386363636363636   precision 0.5872811059907834   recall 0.5989219905569716
deviation 4/5   iterations 2000/2000   F1 0.5987931612470666   accuracy 0.8454545454545455   precision 0.5911520737327189   recall 0.6097669256381798

deviation 5/5   iterations 10/2000   F1 0.5366171220735845   accuracy 0.8304891922639362   precision 0.5334057071960298   recall 0.5446517412935323
update
deviation 5/5   iterations 20/2000   F1 0.47220937849188915   accuracy 0.5745164960182025   precision 0.5713957816377171   recall 0.5302060805845423
deviation 5/5   iterations 30/2000   F1 0.4638701565178225   accuracy 0.5563139931740614   precision 0.573560794044665   recall 0.5308336366945758
deviation 5/5   iterations 40/2000   F1 0.4626398224317817   accuracy 0.5563139931740614   precision 0.5693982630272953   recall 0.5291073435743724
deviation 5/5   iterations 50/2000   F1 0.4561803701490731   accuracy 0.534698521046644   precision 0.5862779156327543   recall 0.5360016152579753
deviation 5/5   iterations 60/2000   F1 0.46856755502357283   accuracy 0.5494880546075085   precision 0.6029900744416874   recall 0.5429871986080039
deviation 5/5   iterations 70/2000   F1 0.48166894731145093   accuracy 0.5847554038680318   precision 0.5855272952853599   recall 0.5362876905584099
deviation 5/5   iterations 80/2000   F1 0.47937537812203757   accuracy 0.5756541524459613   precision 0.5928535980148883   recall 0.5391107580714278
deviation 5/5   iterations 90/2000   F1 0.4988184480209634   accuracy 0.6143344709897611   precision 0.5939764267990074   recall 0.5407937396999106
deviation 5/5   iterations 100/2000   F1 0.5335243813682677   accuracy 0.6814562002275313   precision 0.6029032258064516   recall 0.5494514667302648
deviation 5/5   iterations 110/2000   F1 0.49525180546558223   accuracy 0.5915813424345847   precision 0.6185359801488834   recall 0.550071275837491
deviation 5/5   iterations 120/2000   F1 0.5198016289695491   accuracy 0.6496018202502845   precision 0.6056513647642681   recall 0.5477331584434804
deviation 5/5   iterations 130/2000   F1 0.5484011962272831   accuracy 0.6951080773606371   precision 0.6231327543424318   recall 0.5598690957350546
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deviation 5/5   iterations 140/2000   F1 0.5324059229894773   accuracy 0.6678043230944255   precision 0.6159739454094293   recall 0.5536429579808785
deviation 5/5   iterations 150/2000   F1 0.5461174957358164   accuracy 0.6848691695108078   precision 0.6298138957816377   recall 0.5613629699137881
deviation 5/5   iterations 160/2000   F1 0.539618406285073   accuracy 0.6734926052332195   precision 0.6275248138957816   recall 0.5590793088781341
deviation 5/5   iterations 170/2000   F1 0.5419815564552406   accuracy 0.6837315130830489   precision 0.6208436724565757   recall 0.5574299225226712
deviation 5/5   iterations 180/2000   F1 0.5324404721570966   accuracy 0.6427758816837316   precision 0.6517307692307692   recall 0.5661812455354244
deviation 5/5   iterations 190/2000   F1 0.5264842998278876   accuracy 0.6382252559726962   precision 0.6408250620347395   recall 0.5614244431456589
deviation 5/5   iterations 200/2000   F1 0.572875102073735   accuracy 0.7258248009101251   precision 0.6447146401985111   recall 0.574354561101549
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deviation 5/5   iterations 210/2000   F1 0.5683482142857142   accuracy 0.7246871444823664   precision 0.6357444168734492   recall 0.570261626786884
deviation 5/5   iterations 220/2000   F1 0.5566163475699558   accuracy 0.6882821387940842   precision 0.6525620347394541   recall 0.571255968661629
deviation 5/5   iterations 230/2000   F1 0.5658982125319928   accuracy 0.7007963594994312   precision 0.6596588089330024   recall 0.5760145312776892
deviation 5/5   iterations 240/2000   F1 0.5600666328024622   accuracy 0.6951080773606371   precision 0.6522704714640198   recall 0.572105893965031
deviation 5/5   iterations 250/2000   F1 0.5807539225683367   accuracy 0.7360637087599545   precision 0.6505210918114144   recall 0.5791079812206573
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deviation 5/5   iterations 260/2000   F1 0.5770181697502696   accuracy 0.7360637087599545   precision 0.6421960297766749   recall 0.5755265308274244
deviation 5/5   iterations 270/2000   F1 0.5625970582546695   accuracy 0.6985210466439136   precision 0.6542059553349876   recall 0.573418394471026
deviation 5/5   iterations 280/2000   F1 0.5668440684133916   accuracy 0.7042093287827076   precision 0.6574317617866006   recall 0.5756558549964226
deviation 5/5   iterations 290/2000   F1 0.5780748070745486   accuracy 0.7189988623435722   precision 0.665818858560794   recall 0.5817911434236616
deviation 5/5   iterations 300/2000   F1 0.5597094052093541   accuracy 0.6882821387940842   precision 0.6608870967741935   recall 0.5746545768566493
deviation 5/5   iterations 310/2000   F1 0.5699772850031917   accuracy 0.6939704209328783   precision 0.6807630272952854   recall 0.5834794416941694
deviation 5/5   iterations 320/2000   F1 0.5861053471667996   accuracy 0.7315130830489193   precision 0.6687531017369728   recall 0.5856787401574803
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deviation 5/5   iterations 330/2000   F1 0.586185064935065   accuracy 0.7360637087599545   precision 0.6630086848635235   recall 0.5843736754903094
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deviation 5/5   iterations 340/2000   F1 0.5936199722607489   accuracy 0.764505119453925   precision 0.6458374689826303   recall 0.5850727364840413
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deviation 5/5   iterations 350/2000   F1 0.5780140524286586   accuracy 0.7064846416382252   precision 0.683697270471464   recall 0.5866811076634857
deviation 5/5   iterations 360/2000   F1 0.5806102499650887   accuracy 0.7201365187713311   precision 0.6706265508684863   recall 0.5839857586046853
deviation 5/5   iterations 370/2000   F1 0.587855107106739   accuracy 0.7679180887372014   precision 0.6311228287841191   recall 0.5795281812024983
deviation 5/5   iterations 380/2000   F1 0.585585390750705   accuracy 0.7519908987485779   precision 0.6429032258064515   recall 0.5799317131396688
deviation 5/5   iterations 390/2000   F1 0.5933664374840846   accuracy 0.7519908987485779   precision 0.6595533498759305   recall 0.5871403596742062
deviation 5/5   iterations 400/2000   F1 0.5842464565563561   accuracy 0.726962457337884   precision 0.6703349875930521   recall 0.585305082639493
deviation 5/5   iterations 410/2000   F1 0.5798701498507646   accuracy 0.7349260523321957   precision 0.6498759305210917   recall 0.5785650177551738
deviation 5/5   iterations 420/2000   F1 0.587052522784929   accuracy 0.7724687144482366   precision 0.62537841191067   recall 0.5783991993669413
deviation 5/5   iterations 430/2000   F1 0.587081410742647   accuracy 0.7372013651877133   precision 0.6636538461538461   recall 0.5849192042747698
deviation 5/5   iterations 440/2000   F1 0.5585946255896995   accuracy 0.6712172923777019   precision 0.6845099255583127   recall 0.5819872317904161
deviation 5/5   iterations 450/2000   F1 0.5736269192575052   accuracy 0.7110352673492605   precision 0.6654652605459057   recall 0.580133751532194
deviation 5/5   iterations 460/2000   F1 0.5847386258601212   accuracy 0.7906712172923777   precision 0.6065632754342432   recall 0.5761517182679008
deviation 5/5   iterations 470/2000   F1 0.5818629994810586   accuracy 0.7747440273037542   precision 0.614181141439206   recall 0.5737549888602157
deviation 5/5   iterations 480/2000   F1 0.5668440684133916   accuracy 0.7042093287827076   precision 0.6574317617866006   recall 0.5756558549964226
deviation 5/5   iterations 490/2000   F1 0.5852620301022984   accuracy 0.7394766780432309   precision 0.6566191066997519   recall 0.5825281119246861
deviation 5/5   iterations 500/2000   F1 0.5802047781569966   accuracy 0.7667804323094426   precision 0.6179900744416873   recall 0.5729238555325511
deviation 5/5   iterations 510/2000   F1 0.5845486955112624   accuracy 0.7610921501706485   precision 0.6314143920595534   recall 0.5774529447036284
deviation 5/5   iterations 520/2000   F1 0.5832942057092307   accuracy 0.7622298065984073   precision 0.6278970223325062   recall 0.5761786875554241
deviation 5/5   iterations 530/2000   F1 0.5839557172284602   accuracy 0.757679180887372   precision 0.6336414392059553   recall 0.5774348688750862
deviation 5/5   iterations 540/2000   F1 0.5766353373305245   accuracy 0.7565415244596132   precision 0.6205086848635235   recall 0.5710253447796774
deviation 5/5   iterations 550/2000   F1 0.5887761945256812   accuracy 0.7690557451649602   precision 0.6317679900744417   recall 0.5802164685267149
deviation 5/5   iterations 560/2000   F1 0.5842442715997477   accuracy 0.7747440273037542   precision 0.6183436724565756   recall 0.5758106819265617
deviation 5/5   iterations 570/2000   F1 0.5824808554514175   accuracy 0.7667804323094426   precision 0.6221526054590572   recall 0.5749231401436746
deviation 5/5   iterations 580/2000   F1 0.5755533623372064   accuracy 0.7667804323094426   precision 0.6096650124069478   recall 0.5688449256172599
deviation 5/5   iterations 590/2000   F1 0.5851638018805773   accuracy 0.7758816837315131   precision 0.6189888337468983   recall 0.5765403032721468
deviation 5/5   iterations 600/2000   F1 0.5820775193798449   accuracy 0.7906712172923777   precision 0.6024007444168734   recall 0.5739229735781459
deviation 5/5   iterations 610/2000   F1 0.5856690440265575   accuracy 0.7736063708759955   precision 0.6218610421836228   recall 0.5771151309591106
deviation 5/5   iterations 620/2000   F1 0.5687621687621687   accuracy 0.7463026166097838   precision 0.6147022332506203   recall 0.5655915656837983
deviation 5/5   iterations 630/2000   F1 0.5607468530082268   accuracy 0.7246871444823664   precision 0.6190942928039702   recall 0.562920331939328
deviation 5/5   iterations 640/2000   F1 0.5784134510967929   accuracy 0.7588168373151308   precision 0.6217990074441687   recall 0.5722901325478645
deviation 5/5   iterations 650/2000   F1 0.5805980725623583   accuracy 0.770193401592719   precision 0.6157630272952854   recall 0.5729629340006256
deviation 5/5   iterations 660/2000   F1 0.5791403151463179   accuracy 0.7713310580204779   precision 0.6122456575682382   recall 0.5716094919976571
deviation 5/5   iterations 670/2000   F1 0.5883307791332066   accuracy 0.782707622298066   precision 0.618697270471464   recall 0.5790217068093964
deviation 5/5   iterations 680/2000   F1 0.5847386258601212   accuracy 0.7906712172923777   precision 0.6065632754342432   recall 0.5761517182679008
deviation 5/5   iterations 690/2000   F1 0.569589204923674   accuracy 0.7531285551763367   precision 0.6102481389578164   recall 0.5652049487077885
deviation 5/5   iterations 700/2000   F1 0.5793042022742804   accuracy 0.7872582480091013   precision 0.6004652605459058   recall 0.5714355029376996
deviation 5/5   iterations 710/2000   F1 0.5755533623372064   accuracy 0.7667804323094426   precision 0.6096650124069478   recall 0.5688449256172599
deviation 5/5   iterations 720/2000   F1 0.5818629994810586   accuracy 0.7747440273037542   precision 0.614181141439206   recall 0.5737549888602157
deviation 5/5   iterations 730/2000   F1 0.5806215200582368   accuracy 0.7792946530147895   precision 0.6084367245657568   recall 0.5725130672861528
deviation 5/5   iterations 740/2000   F1 0.5800310138165156   accuracy 0.8054607508532423   precision 0.5899751861042184   recall 0.5740090623341634
deviation 5/5   iterations 750/2000   F1 0.5898386034255599   accuracy 0.8065984072810012   precision 0.6031079404466502   recall 0.5822430923917346
deviation 5/5   iterations 760/2000   F1 0.5859302019210041   accuracy 0.7986348122866894   precision 0.6027543424317618   recall 0.5778164051489242
deviation 5/5   iterations 770/2000   F1 0.5793489482513873   accuracy 0.7974971558589306   precision 0.5937841191066997   recall 0.5722284862499283
deviation 5/5   iterations 780/2000   F1 0.5774737083052508   accuracy 0.7849829351535836   precision 0.5991749379652606   recall 0.5698244234800839
deviation 5/5   iterations 790/2000   F1 0.577386627551644   accuracy 0.7986348122866894   precision 0.5902667493796526   recall 0.5707320629982501
deviation 5/5   iterations 800/2000   F1 0.5734882968645301   accuracy 0.8088737201365188   precision 0.5794230769230769   recall 0.5693148104034476
deviation 5/5   iterations 810/2000   F1 0.5751190958494573   accuracy 0.8031854379977247   precision 0.5845223325062034   recall 0.5695238192431726
deviation 5/5   iterations 820/2000   F1 0.583096186681844   accuracy 0.7952218430034129   precision 0.6008188585607941   recall 0.5751099937146449
deviation 5/5   iterations 830/2000   F1 0.5738779884162988   accuracy 0.8054607508532423   precision 0.5816501240694789   recall 0.5689081085608979
deviation 5/5   iterations 840/2000   F1 0.568111049149196   accuracy 0.8145620022753128   precision 0.5701612903225807   recall 0.5663358671171171
deviation 5/5   iterations 850/2000   F1 0.5699621678289803   accuracy 0.8168373151308305   precision 0.5714516129032259   recall 0.5686167043965209
deviation 5/5   iterations 860/2000   F1 0.5583697836623713   accuracy 0.8065984072810012   precision 0.5614826302729529   recall 0.5559892891038098
deviation 5/5   iterations 870/2000   F1 0.5600088470851183   accuracy 0.8043230944254836   precision 0.5643548387096774   recall 0.5569499341238472
deviation 5/5   iterations 880/2000   F1 0.5821619198956932   accuracy 0.800910125142207   precision 0.5957196029776675   recall 0.5750048609760839
deviation 5/5   iterations 890/2000   F1 0.5734103000798807   accuracy 0.8168373151308305   precision 0.5756141439205955   recall 0.5714914132882883
deviation 5/5   iterations 900/2000   F1 0.5624437110293292   accuracy 0.8031854379977247   precision 0.5678722084367246   recall 0.5588301716350497
deviation 5/5   iterations 910/2000   F1 0.5755398788728974   accuracy 0.7963594994311718   precision 0.5889764267990074   recall 0.5689182955659344
deviation 5/5   iterations 920/2000   F1 0.5755398788728974   accuracy 0.7963594994311718   precision 0.5889764267990074   recall 0.5689182955659344
deviation 5/5   iterations 930/2000   F1 0.574653143975959   accuracy 0.7781569965870307   precision 0.5994665012406948   recall 0.5674241404830788
deviation 5/5   iterations 940/2000   F1 0.5830095111689484   accuracy 0.7918088737201365   precision 0.6030459057071961   recall 0.5747717819910333
deviation 5/5   iterations 950/2000   F1 0.5615583075335397   accuracy 0.8020477815699659   precision 0.567227047146402   recall 0.5578775902584917
deviation 5/5   iterations 960/2000   F1 0.5692333512352309   accuracy 0.8339021615472128   precision 0.5644789081885856   recall 0.576204580779495
deviation 5/5   iterations 970/2000   F1 0.5711014913422079   accuracy 0.8225255972696246   precision 0.570514888337469   recall 0.5717124687712923
deviation 5/5   iterations 980/2000   F1 0.5639102220634638   accuracy 0.800910125142207   precision 0.5707444168734491   recall 0.5597043055788239
deviation 5/5   iterations 990/2000   F1 0.5718939375793433   accuracy 0.7918088737201365   precision 0.5863957816377171   recall 0.565427980832472
deviation 5/5   iterations 1000/2000   F1 0.5711014913422079   accuracy 0.8225255972696246   precision 0.570514888337469   recall 0.5717124687712923
deviation 5/5   iterations 1010/2000   F1 0.5683873726894018   accuracy 0.8236632536973834   precision 0.5669975186104218   recall 0.56993006993007
deviation 5/5   iterations 1020/2000   F1 0.5748065103573867   accuracy 0.8065984072810012   precision 0.5822952853598015   recall 0.56991083285904
deviation 5/5   iterations 1030/2000   F1 0.5802249152716442   accuracy 0.78839590443686   precision 0.6011104218362283   recall 0.5722550271305458
deviation 5/5   iterations 1040/2000   F1 0.5864160636850337   accuracy 0.7895335608646189   precision 0.6100806451612903   recall 0.5775026205450734
deviation 5/5   iterations 1050/2000   F1 0.562668080138659   accuracy 0.825938566552901   precision 0.5599627791563275   recall 0.5661167200196996
deviation 5/5   iterations 1060/2000   F1 0.5731351981351982   accuracy 0.8293515358361775   precision 0.5702233250620348   recall 0.5767041604553462
deviation 5/5   iterations 1070/2000   F1 0.563771712158809   accuracy 0.8179749715585893   precision 0.563771712158809   recall 0.563771712158809
deviation 5/5   iterations 1080/2000   F1 0.5639102220634638   accuracy 0.800910125142207   precision 0.5707444168734491   recall 0.5597043055788239
deviation 5/5   iterations 1090/2000   F1 0.5548969379244608   accuracy 0.8065984072810012   precision 0.5573200992555831   recall 0.5529755761953905
deviation 5/5   iterations 1100/2000   F1 0.5539359132139113   accuracy 0.8100113765642776   precision 0.5550930521091811   recall 0.5529071845585607
deviation 5/5   iterations 1110/2000   F1 0.5565522332964193   accuracy 0.8134243458475541   precision 0.5570285359801489   recall 0.556097293075252
deviation 5/5   iterations 1120/2000   F1 0.555755831787441   accuracy 0.8031854379977247   precision 0.5595471464019851   recall 0.5530683325961964
deviation 5/5   iterations 1130/2000   F1 0.555481915411556   accuracy 0.8168373151308305   precision 0.5548014888337469   recall 0.5562116622973351
deviation 5/5   iterations 1140/2000   F1 0.5633332563136856   accuracy 0.8043230944254836   precision 0.5685173697270471   recall 0.5597970851289603
deviation 5/5   iterations 1150/2000   F1 0.5619601328903655   accuracy 0.8156996587030717   precision 0.5624813895781637   recall 0.5614611047377285
deviation 5/5   iterations 1160/2000   F1 0.5539359132139113   accuracy 0.8100113765642776   precision 0.5550930521091811   recall 0.5529071845585607
deviation 5/5   iterations 1170/2000   F1 0.5600088470851183   accuracy 0.8043230944254836   precision 0.5643548387096774   recall 0.5569499341238472
deviation 5/5   iterations 1180/2000   F1 0.5626698304565808   accuracy 0.8077360637087599   precision 0.5662903225806452   recall 0.5599300087489063
deviation 5/5   iterations 1190/2000   F1 0.5721745352806367   accuracy 0.8282138794084186   precision 0.5695781637717122   recall 0.5752953813104189
deviation 5/5   iterations 1200/2000   F1 0.5696673420598419   accuracy 0.8441410693970421   precision 0.5619602977667494   recall 0.5848771202284238
deviation 5/5   iterations 1210/2000   F1 0.55749432549157   accuracy 0.8054607508532423   precision 0.5608374689826303   recall 0.5550003364963995
deviation 5/5   iterations 1220/2000   F1 0.5657114624505929   accuracy 0.7952218430034129   precision 0.5758436724565756   recall 0.5604960019000871
deviation 5/5   iterations 1230/2000   F1 0.5682937904065286   accuracy 0.8191126279863481   precision 0.5685794044665012   recall 0.5680140273163529
deviation 5/5   iterations 1240/2000   F1 0.5619085472026648   accuracy 0.820250284414107   precision 0.5608995037220843   recall 0.56301026957638
deviation 5/5   iterations 1250/2000   F1 0.5617521367521368   accuracy 0.8248009101251422   precision 0.559317617866005   recall 0.5647919772326874
deviation 5/5   iterations 1260/2000   F1 0.5712421230258127   accuracy 0.8316268486916951   precision 0.5673511166253102   recall 0.5764469792986904
deviation 5/5   iterations 1270/2000   F1 0.5599358151476251   accuracy 0.8225255972696246   precision 0.5580272952853598   recall 0.562220625798212
deviation 5/5   iterations 1280/2000   F1 0.5563630857748504   accuracy 0.8179749715585893   precision 0.5554466501240695   recall 0.5573684210526316
deviation 5/5   iterations 1290/2000   F1 0.5601663847067674   accuracy 0.8327645051194539   precision 0.5555086848635236   recall 0.567718108615366
deviation 5/5   iterations 1300/2000   F1 0.5495082854941804   accuracy 0.8191126279863481   precision 0.5477667493796526   recall 0.5516917293233083
deviation 5/5   iterations 1310/2000   F1 0.5546053948553699   accuracy 0.8156996587030717   precision 0.5541563275434243   recall 0.5550760844878492
deviation 5/5   iterations 1320/2000   F1 0.5674977885891199   accuracy 0.7974971558589306   precision 0.5771339950372208   recall 0.5622758689772613
deviation 5/5   iterations 1330/2000   F1 0.5512345658939181   accuracy 0.8213879408418657   precision 0.5490570719602977   recall 0.5540917672166134
deviation 5/5   iterations 1340/2000   F1 0.5629523230760732   accuracy 0.8361774744027304   precision 0.5574441687344913   recall 0.5724342928660826
deviation 5/5   iterations 1350/2000   F1 0.5485938283422216   accuracy 0.8077360637087599   precision 0.5496401985111662   recall 0.5476706779459073
deviation 5/5   iterations 1360/2000   F1 0.544076008689497   accuracy 0.8065984072810012   precision 0.5448325062034739   recall 0.5433960224816257
deviation 5/5   iterations 1370/2000   F1 0.5638927920895134   accuracy 0.8373151308304891   precision 0.5580893300248139   recall 0.5740822784810127
deviation 5/5   iterations 1380/2000   F1 0.5739567324742877   accuracy 0.8134243458475541   precision 0.5778411910669975   recall 0.570886247570841
deviation 5/5   iterations 1390/2000   F1 0.5698042340086501   accuracy 0.8043230944254836   precision 0.5768424317617866   recall 0.565278568266616
deviation 5/5   iterations 1400/2000   F1 0.5521048368130863   accuracy 0.8225255972696246   precision 0.5497022332506204   recall 0.5553284348930998
deviation 5/5   iterations 1410/2000   F1 0.5521048368130863   accuracy 0.8225255972696246   precision 0.5497022332506204   recall 0.5553284348930998
deviation 5/5   iterations 1420/2000   F1 0.5556353767560663   accuracy 0.8270762229806599   precision 0.5522828784119107   recall 0.5605390185036202
deviation 5/5   iterations 1430/2000   F1 0.5551748479407944   accuracy 0.8213879408418657   precision 0.5532196029776675   recall 0.5575926423200859
deviation 5/5   iterations 1440/2000   F1 0.5638927920895134   accuracy 0.8373151308304891   precision 0.5580893300248139   recall 0.5740822784810127
deviation 5/5   iterations 1450/2000   F1 0.5601663847067674   accuracy 0.8327645051194539   precision 0.5555086848635236   recall 0.567718108615366
deviation 5/5   iterations 1460/2000   F1 0.5646847756005943   accuracy 0.8191126279863481   precision 0.5644168734491315   recall 0.5649584626163547
deviation 5/5   iterations 1470/2000   F1 0.5810794709877278   accuracy 0.8179749715585893   precision 0.5845843672456577   recall 0.5781733746130031
deviation 5/5   iterations 1480/2000   F1 0.5724708171206226   accuracy 0.8156996587030717   precision 0.574968982630273   recall 0.5703401471409946
deviation 5/5   iterations 1490/2000   F1 0.5563630857748504   accuracy 0.8179749715585893   precision 0.5554466501240695   recall 0.5573684210526316
deviation 5/5   iterations 1500/2000   F1 0.5481981230661352   accuracy 0.8282138794084186   precision 0.5446029776674938   recall 0.5544136344372464
deviation 5/5   iterations 1510/2000   F1 0.5628181774982973   accuracy 0.8213879408418657   precision 0.561544665012407   recall 0.5642385392385393
deviation 5/5   iterations 1520/2000   F1 0.561061464323243   accuracy 0.8145620022753128   precision 0.5618362282878412   recall 0.5603360612076896
deviation 5/5   iterations 1530/2000   F1 0.5608414103874085   accuracy 0.8236632536973834   precision 0.5586724565756823   recall 0.5634935553168636
deviation 5/5   iterations 1540/2000   F1 0.5598876698014629   accuracy 0.8430034129692833   precision 0.5529900744416874   recall 0.5754193890164223
deviation 5/5   iterations 1550/2000   F1 0.5596540722967807   accuracy 0.8270762229806599   precision 0.5564454094292804   recall 0.5640684410646388
deviation 5/5   iterations 1560/2000   F1 0.5528660049627792   accuracy 0.8134243458475541   precision 0.5528660049627792   recall 0.5528660049627792
deviation 5/5   iterations 1570/2000   F1 0.5578470824949698   accuracy 0.8248009101251422   precision 0.5551550868486352   recall 0.5613985415170433
deviation 5/5   iterations 1580/2000   F1 0.555076746285808   accuracy 0.8316268486916951   precision 0.5507009925558313   recall 0.562528689904214
deviation 5/5   iterations 1590/2000   F1 0.5478004965538397   accuracy 0.8168373151308305   precision 0.5464764267990074   recall 0.5493843436074565
deviation 5/5   iterations 1600/2000   F1 0.5624377755653535   accuracy 0.8407281001137656   precision 0.5558622828784119   recall 0.5755833473224777
deviation 5/5   iterations 1610/2000   F1 0.5692081495484143   accuracy 0.8486916951080774   precision 0.56037841191067   recall 0.5894511432982869
deviation 5/5   iterations 1620/2000   F1 0.5551748479407944   accuracy 0.8213879408418657   precision 0.5532196029776675   recall 0.5575926423200859
deviation 5/5   iterations 1630/2000   F1 0.5628181774982973   accuracy 0.8213879408418657   precision 0.561544665012407   recall 0.5642385392385393
deviation 5/5   iterations 1640/2000   F1 0.5686012669063517   accuracy 0.8532423208191127   precision 0.5587965260545905   recall 0.5949737464427431
deviation 5/5   iterations 1650/2000   F1 0.5683848372610294   accuracy 0.8282138794084186   precision 0.5654156327543425   recall 0.5721291964212427
deviation 5/5   iterations 1660/2000   F1 0.5497884738186463   accuracy 0.8248009101251422   precision 0.5468300248138958   recall 0.5542250890702218
deviation 5/5   iterations 1670/2000   F1 0.5506570396629435   accuracy 0.825938566552901   precision 0.5474751861042183   recall 0.5555337861372344
deviation 5/5   iterations 1680/2000   F1 0.5543726235741445   accuracy 0.8361774744027304   precision 0.5491191066997518   recall 0.5648718620960871
deviation 5/5   iterations 1690/2000   F1 0.5610038791952633   accuracy 0.8191126279863481   precision 0.5602543424317619   recall 0.561804830868691
deviation 5/5   iterations 1700/2000   F1 0.5624045680377685   accuracy 0.8304891922639362   precision 0.5583808933002481   recall 0.5682906652734239
deviation 5/5   iterations 1710/2000   F1 0.5652991607255663   accuracy 0.8441410693970421   precision 0.5577977667493796   recall 0.5812038070004184
deviation 5/5   iterations 1720/2000   F1 0.556060606060606   accuracy 0.8225255972696246   precision 0.55386476426799   recall 0.5588358856213579
deviation 5/5   iterations 1730/2000   F1 0.5627300766092926   accuracy 0.8464163822525598   precision 0.5549255583126551   recall 0.5813726931843246
deviation 5/5   iterations 1740/2000   F1 0.5568822164521298   accuracy 0.8339021615472128   precision 0.5519913151364764   recall 0.5655585106382979
deviation 5/5   iterations 1750/2000   F1 0.5592492207616209   accuracy 0.8316268486916951   precision 0.554863523573201   recall 0.5662174303683738
deviation 5/5   iterations 1760/2000   F1 0.5666153550849276   accuracy 0.850967007963595   precision 0.5575062034739454   recall 0.5901610644257703
deviation 5/5   iterations 1770/2000   F1 0.555276835278675   accuracy 0.8373151308304891   precision 0.5497642679900744   recall 0.5665174129353234
deviation 5/5   iterations 1780/2000   F1 0.5617760051614417   accuracy 0.8452787258248009   precision 0.5542803970223324   recall 0.5793319794008849
deviation 5/5   iterations 1790/2000   F1 0.5480660215677485   accuracy 0.8225255972696246   precision 0.5455397022332507   recall 0.5516899028305873
deviation 5/5   iterations 1800/2000   F1 0.5516939890710383   accuracy 0.8327645051194539   precision 0.5471836228287841   recall 0.5601740506329114
deviation 5/5   iterations 1810/2000   F1 0.5656334231805931   accuracy 0.8498293515358362   precision 0.5568610421836229   recall 0.5878642638036811
deviation 5/5   iterations 1820/2000   F1 0.5656334231805931   accuracy 0.8498293515358362   precision 0.5568610421836229   recall 0.5878642638036811
deviation 5/5   iterations 1830/2000   F1 0.5559767014312469   accuracy 0.8327645051194539   precision 0.5513461538461538   recall 0.5640258052538755
deviation 5/5   iterations 1840/2000   F1 0.5529799694866874   accuracy 0.8236632536973834   precision 0.550347394540943   recall 0.5565906175043231
deviation 5/5   iterations 1850/2000   F1 0.5556353767560663   accuracy 0.8270762229806599   precision 0.5522828784119107   recall 0.5605390185036202
deviation 5/5   iterations 1860/2000   F1 0.5702029930360053   accuracy 0.8498293515358362   precision 0.5610235732009925   recall 0.5916638711841664
deviation 5/5   iterations 1870/2000   F1 0.5598876698014629   accuracy 0.8430034129692833   precision 0.5529900744416874   recall 0.5754193890164223
deviation 5/5   iterations 1880/2000   F1 0.5543726235741445   accuracy 0.8361774744027304   precision 0.5491191066997518   recall 0.5648718620960871
deviation 5/5   iterations 1890/2000   F1 0.5617760051614417   accuracy 0.8452787258248009   precision 0.5542803970223324   recall 0.5793319794008849
deviation 5/5   iterations 1900/2000   F1 0.555276835278675   accuracy 0.8373151308304891   precision 0.5497642679900744   recall 0.5665174129353234
deviation 5/5   iterations 1910/2000   F1 0.5656334231805931   accuracy 0.8498293515358362   precision 0.5568610421836229   recall 0.5878642638036811
deviation 5/5   iterations 1920/2000   F1 0.5598876698014629   accuracy 0.8430034129692833   precision 0.5529900744416874   recall 0.5754193890164223
deviation 5/5   iterations 1930/2000   F1 0.5524092789867169   accuracy 0.8282138794084186   precision 0.5487655086848635   recall 0.5582382575196325
deviation 5/5   iterations 1940/2000   F1 0.5589531630719249   accuracy 0.8418657565415245   precision 0.5523449131513648   recall 0.5735427415981035
deviation 5/5   iterations 1950/2000   F1 0.5682204756737734   accuracy 0.8475540386803185   precision 0.5597332506203474   recall 0.5873014433886995
deviation 5/5   iterations 1960/2000   F1 0.5628181774982973   accuracy 0.8213879408418657   precision 0.561544665012407   recall 0.5642385392385393
deviation 5/5   iterations 1970/2000   F1 0.5646586554753278   accuracy 0.8486916951080774   precision 0.5562158808933002   recall 0.5856359856359856
deviation 5/5   iterations 1980/2000   F1 0.5638556070542531   accuracy 0.8532423208191127   precision 0.5546339950372209   recall 0.5910190161223646
deviation 5/5   iterations 1990/2000   F1 0.5698667632093   accuracy 0.8600682593856656   precision 0.5585049627791563   recall 0.6077139202339075
deviation 5/5   iterations 2000/2000   F1 0.5516939890710383   accuracy 0.8327645051194539   precision 0.5471836228287841   recall 0.5601740506329114

