deviation 1/5   iterations 10/2000   F1 0.20172600216786085   accuracy 0.31958762886597936   precision 0.3447686172975651   recall 0.3467078387854225
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deviation 1/5   iterations 20/2000   F1 0.4471864086115956   accuracy 0.5592783505154639   precision 0.4519202764408244   recall 0.46375184189450386
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deviation 1/5   iterations 30/2000   F1 0.36333449600148865   accuracy 0.43427835051546393   precision 0.4895725164416753   recall 0.4359800425971822
deviation 1/5   iterations 40/2000   F1 0.45495141740105477   accuracy 0.5773195876288659   precision 0.4827887727715465   recall 0.455094866473591
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deviation 1/5   iterations 50/2000   F1 0.4476394769869887   accuracy 0.6095360824742269   precision 0.489425385121324   recall 0.4454827320990655
deviation 1/5   iterations 60/2000   F1 0.4552349964184185   accuracy 0.6030927835051546   precision 0.46228240219016126   recall 0.4517755272632959
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deviation 1/5   iterations 70/2000   F1 0.45937679477198373   accuracy 0.5966494845360825   precision 0.4899148183863709   recall 0.45764634078315786
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deviation 1/5   iterations 80/2000   F1 0.4541582675862797   accuracy 0.6134020618556701   precision 0.48819051136830005   recall 0.4500413471979792
deviation 1/5   iterations 90/2000   F1 0.44947179727490266   accuracy 0.6327319587628866   precision 0.4642091594713908   recall 0.44231282097009367
deviation 1/5   iterations 100/2000   F1 0.47998978596963643   accuracy 0.6134020618556701   precision 0.505242546637282   recall 0.48237314594156183
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deviation 1/5   iterations 110/2000   F1 0.46460130075514733   accuracy 0.6327319587628866   precision 0.49528029495380244   recall 0.4594634188249252
deviation 1/5   iterations 120/2000   F1 0.48776311575429504   accuracy 0.6146907216494846   precision 0.498529012100645   recall 0.4905164877804881
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deviation 1/5   iterations 130/2000   F1 0.47699666046873723   accuracy 0.615979381443299   precision 0.5113050722451306   recall 0.48403391488136754
deviation 1/5   iterations 140/2000   F1 0.4943638531425211   accuracy 0.6365979381443299   precision 0.5012747252747253   recall 0.49426599257094067
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deviation 1/5   iterations 150/2000   F1 0.49913737939578634   accuracy 0.6237113402061856   precision 0.5265002447381302   recall 0.5081213551457616
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deviation 1/5   iterations 160/2000   F1 0.49977053911480146   accuracy 0.6198453608247423   precision 0.5207208798963657   recall 0.5057690232737291
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deviation 1/5   iterations 170/2000   F1 0.5111739165763832   accuracy 0.6494845360824743   precision 0.5135574278513871   recall 0.5142490872468629
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deviation 1/5   iterations 180/2000   F1 0.49720158717633667   accuracy 0.6353092783505154   precision 0.5009273714825103   recall 0.500352479264309
deviation 1/5   iterations 190/2000   F1 0.49960218593147593   accuracy 0.6288659793814433   precision 0.5175221910939696   recall 0.5026954464336973
deviation 1/5   iterations 200/2000   F1 0.5054689638190538   accuracy 0.654639175257732   precision 0.5055558671527584   recall 0.5071980768972378
deviation 1/5   iterations 210/2000   F1 0.4891339597576269   accuracy 0.6095360824742269   precision 0.5162141515897799   recall 0.49784514120546525
deviation 1/5   iterations 220/2000   F1 0.497827322281896   accuracy 0.6275773195876289   precision 0.5065188980138323   recall 0.5017262404261184
deviation 1/5   iterations 230/2000   F1 0.49090568153407027   accuracy 0.625   precision 0.5137292536474072   recall 0.4947015326760941
deviation 1/5   iterations 240/2000   F1 0.5072750174443722   accuracy 0.6430412371134021   precision 0.5105284205851022   recall 0.5106987248939447
deviation 1/5   iterations 250/2000   F1 0.4978939841706782   accuracy 0.6288659793814433   precision 0.5159250187009238   recall 0.5009777971043525
deviation 1/5   iterations 260/2000   F1 0.513141516530408   accuracy 0.6507731958762887   precision 0.5144373938227361   recall 0.5181908534542113
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deviation 1/5   iterations 270/2000   F1 0.4627730289832388   accuracy 0.6018041237113402   precision 0.5112985566211373   recall 0.4748941686810957
deviation 1/5   iterations 280/2000   F1 0.5136113562331819   accuracy 0.6585051546391752   precision 0.5145060453908009   recall 0.5162359107030815
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deviation 1/5   iterations 290/2000   F1 0.5006154949899521   accuracy 0.6314432989690721   precision 0.5122646267038603   recall 0.5048448492710393
deviation 1/5   iterations 300/2000   F1 0.49667776548853587   accuracy 0.6262886597938144   precision 0.5164361098032931   recall 0.5014048682610276
deviation 1/5   iterations 310/2000   F1 0.5035879147441434   accuracy 0.6494845360824743   precision 0.5153411662356812   recall 0.5021329942496654
deviation 1/5   iterations 320/2000   F1 0.5066840819986949   accuracy 0.6353092783505154   precision 0.5171205007824726   recall 0.5111211136992978
deviation 1/5   iterations 330/2000   F1 0.4987462106326337   accuracy 0.6404639175257731   precision 0.519573814984443   recall 0.49842852146410205
deviation 1/5   iterations 340/2000   F1 0.5170400218031742   accuracy 0.6378865979381443   precision 0.5219982143573693   recall 0.5279630835278545
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deviation 1/5   iterations 350/2000   F1 0.5072174551567176   accuracy 0.6391752577319587   precision 0.5213114931168753   recall 0.5116632485502015
deviation 1/5   iterations 360/2000   F1 0.49667226393372826   accuracy 0.6378865979381443   precision 0.5122798717178539   recall 0.49790422026432085
deviation 1/5   iterations 370/2000   F1 0.5081623019053202   accuracy 0.6288659793814433   precision 0.5194680183000052   recall 0.5164366410684557
deviation 1/5   iterations 380/2000   F1 0.5094987061852426   accuracy 0.6443298969072165   precision 0.5199144812084229   recall 0.512526755566196
deviation 1/5   iterations 390/2000   F1 0.5017031191926122   accuracy 0.6185567010309279   precision 0.5216590505645472   recall 0.511181780685993
deviation 1/5   iterations 400/2000   F1 0.509803543513231   accuracy 0.6533505154639175   precision 0.516711418180789   recall 0.5111708280555091
deviation 1/5   iterations 410/2000   F1 0.5125011618180128   accuracy 0.6365979381443299   precision 0.522147938758519   recall 0.5196346463053602
deviation 1/5   iterations 420/2000   F1 0.48980630518949625   accuracy 0.6353092783505154   precision 0.5202766257386454   recall 0.4933634388165296
deviation 1/5   iterations 430/2000   F1 0.494486633449209   accuracy 0.6172680412371134   precision 0.5190738257736275   recall 0.503712168128171
deviation 1/5   iterations 440/2000   F1 0.5122982164804338   accuracy 0.6417525773195877   precision 0.520813961930298   recall 0.5181067747109055
deviation 1/5   iterations 450/2000   F1 0.5003154116753756   accuracy 0.6365979381443299   precision 0.5190118601436101   recall 0.5034095253683687
deviation 1/5   iterations 460/2000   F1 0.5062365792519902   accuracy 0.6301546391752577   precision 0.5213073455316892   recall 0.511975256012648
deviation 1/5   iterations 470/2000   F1 0.503076535230876   accuracy 0.6391752577319587   precision 0.5198130235571806   recall 0.5065103005621672
deviation 1/5   iterations 480/2000   F1 0.5042594674722944   accuracy 0.6314432989690721   precision 0.5161848543143507   recall 0.5090464249026173
deviation 1/5   iterations 490/2000   F1 0.5012722871258098   accuracy 0.6353092783505154   precision 0.522023631190443   recall 0.505386984121943
deviation 1/5   iterations 500/2000   F1 0.5046589067508901   accuracy 0.6275773195876289   precision 0.5206988493088359   recall 0.5115435025046509
deviation 1/5   iterations 510/2000   F1 0.5072223778370909   accuracy 0.6327319587628866   precision 0.5208539360869671   recall 0.5124070095206453
deviation 1/5   iterations 520/2000   F1 0.5011876866221229   accuracy 0.6417525773195877   precision 0.5165241146617977   recall 0.5035067554114748
deviation 1/5   iterations 530/2000   F1 0.5002745877050326   accuracy 0.6237113402061856   precision 0.5260431220047374   recall 0.5070774350975212
deviation 1/5   iterations 540/2000   F1 0.5089687084236771   accuracy 0.645618556701031   precision 0.5240821402164415   recall 0.5125445892173185
deviation 1/5   iterations 550/2000   F1 0.49434379775853293   accuracy 0.6198453608247423   precision 0.5163773534144497   recall 0.4978545059081095
deviation 1/5   iterations 560/2000   F1 0.5033577533577533   accuracy 0.6288659793814433   precision 0.5171931920796294   recall 0.5076632990381637
deviation 1/5   iterations 570/2000   F1 0.5089616384672531   accuracy 0.6378865979381443   precision 0.5289847119179517   recall 0.5145920796602322
deviation 1/5   iterations 580/2000   F1 0.502158147466918   accuracy 0.625   precision 0.5205716807890242   recall 0.5093940996673088
deviation 1/5   iterations 590/2000   F1 0.5109063546627955   accuracy 0.6430412371134021   precision 0.5197222222222222   recall 0.5152704912926588
deviation 1/5   iterations 600/2000   F1 0.5017547188350728   accuracy 0.6301546391752577   precision 0.5188156400779751   recall 0.5087250527375266
deviation 1/5   iterations 610/2000   F1 0.5068389986598746   accuracy 0.6314432989690721   precision 0.5234678410996475   recall 0.5155209360142442
deviation 1/5   iterations 620/2000   F1 0.5177898215716676   accuracy 0.6469072164948454   precision 0.5216150702737123   recall 0.5259334267360632
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deviation 1/5   iterations 630/2000   F1 0.5094967387364624   accuracy 0.6353092783505154   precision 0.5311992811410681   recall 0.5194983695238374
deviation 1/5   iterations 640/2000   F1 0.5180383327215259   accuracy 0.6481958762886598   precision 0.5249904430028939   recall 0.5250924357225133
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deviation 1/5   iterations 650/2000   F1 0.5186023500538113   accuracy 0.6443298969072165   precision 0.5263185525531074   recall 0.5274044179409788
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deviation 1/5   iterations 660/2000   F1 0.511386700469368   accuracy 0.634020618556701   precision 0.530480205682164   recall 0.5222421052503002
deviation 1/5   iterations 670/2000   F1 0.5027086478783606   accuracy 0.6262886597938144   precision 0.5245240567670475   recall 0.5119884073124484
deviation 1/5   iterations 680/2000   F1 0.5134332452788897   accuracy 0.6443298969072165   precision 0.5169956274940314   recall 0.521207549904704
deviation 1/5   iterations 690/2000   F1 0.48173189984707476   accuracy 0.5940721649484536   precision 0.5230911604673981   recall 0.4923079553963285
deviation 1/5   iterations 700/2000   F1 0.5245352195826111   accuracy 0.6701030927835051   precision 0.5231532139426877   recall 0.5295156697940703
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deviation 1/5   iterations 710/2000   F1 0.49452458437965685   accuracy 0.6146907216494846   precision 0.5201242295946954   recall 0.5022364945719334
deviation 1/5   iterations 720/2000   F1 0.510835845135362   accuracy 0.6301546391752577   precision 0.5260527490077268   recall 0.5208411457347241
deviation 1/5   iterations 730/2000   F1 0.5038825002302971   accuracy 0.6430412371134021   precision 0.5209178519114297   recall 0.5086775370506317
deviation 1/5   iterations 740/2000   F1 0.4975219753641844   accuracy 0.6069587628865979   precision 0.5168500293314718   recall 0.508300465262857
deviation 1/5   iterations 750/2000   F1 0.5108471204021238   accuracy 0.6404639175257731   precision 0.5224979235880398   recall 0.5166489348057903
deviation 1/5   iterations 760/2000   F1 0.49332289734075446   accuracy 0.6146907216494846   precision 0.5157861619910257   recall 0.5004262975508045
deviation 1/5   iterations 770/2000   F1 0.49591724175480145   accuracy 0.6185567010309279   precision 0.5235614926598912   recall 0.5044037310603978
deviation 1/5   iterations 780/2000   F1 0.5218076928603245   accuracy 0.6520618556701031   precision 0.5287632442403893   recall 0.5288847738485386
deviation 1/5   iterations 790/2000   F1 0.5246896081107383   accuracy 0.6533505154639175   precision 0.5329599321975855   recall 0.5322453584665666
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deviation 1/5   iterations 800/2000   F1 0.5088443312183926   accuracy 0.6430412371134021   precision 0.5210173873433304   recall 0.5137379373468821
deviation 1/5   iterations 810/2000   F1 0.4869226147442189   accuracy 0.5992268041237113   precision 0.5119223139409476   recall 0.49470401635809974
deviation 1/5   iterations 820/2000   F1 0.5148370068548941   accuracy 0.6481958762886598   precision 0.5244899154473622   recall 0.519939487734479
deviation 1/5   iterations 830/2000   F1 0.5139196014196014   accuracy 0.6365979381443299   precision 0.5198357963875205   recall 0.5239287696287221
deviation 1/5   iterations 840/2000   F1 0.49618059164108913   accuracy 0.6172680412371134   precision 0.5181309833483746   recall 0.5017168757234741
deviation 1/5   iterations 850/2000   F1 0.5137333509855408   accuracy 0.6314432989690721   precision 0.5252506400822406   recall 0.5230652626127276
deviation 1/5   iterations 860/2000   F1 0.5141490192633705   accuracy 0.6417525773195877   precision 0.5236442304666603   recall 0.5207757963967067
deviation 1/5   iterations 870/2000   F1 0.5147375834164553   accuracy 0.6391752577319587   precision 0.5252272130696318   recall 0.5229205168827266
deviation 1/5   iterations 880/2000   F1 0.5011189948263118   accuracy 0.625   precision 0.5183649815228762   recall 0.50758390264618
deviation 1/5   iterations 890/2000   F1 0.49991964834340746   accuracy 0.6224226804123711   precision 0.5159848218530684   recall 0.5070596014463987
deviation 1/5   iterations 900/2000   F1 0.4981154746094985   accuracy 0.6211340206185567   precision 0.515523191756495   recall 0.5036990168283707
deviation 1/5   iterations 910/2000   F1 0.4965945724799668   accuracy 0.6146907216494846   precision 0.5158479305367031   recall 0.5037690485177101
deviation 1/5   iterations 920/2000   F1 0.5060742098136223   accuracy 0.6391752577319587   precision 0.5199101831013256   recall 0.5098530515290727
deviation 1/5   iterations 930/2000   F1 0.4991008624310764   accuracy 0.6185567010309279   precision 0.517853335474242   recall 0.5058437373143906
deviation 1/5   iterations 940/2000   F1 0.5053107163078242   accuracy 0.6314432989690721   precision 0.5183337109877676   recall 0.5118079942802025
deviation 1/5   iterations 950/2000   F1 0.5051019900638912   accuracy 0.6275773195876289   precision 0.5185009069582012   recall 0.5132611518339956
deviation 1/5   iterations 960/2000   F1 0.5025648947193605   accuracy 0.615979381443299   precision 0.515174754059843   recall 0.5147665074260056
deviation 1/5   iterations 970/2000   F1 0.4893839798762909   accuracy 0.615979381443299   precision 0.5237757367759538   recall 0.4970088325432374
deviation 1/5   iterations 980/2000   F1 0.5160130321847267   accuracy 0.6417525773195877   precision 0.5216409188570033   recall 0.5260212920765251
deviation 1/5   iterations 990/2000   F1 0.508072848726577   accuracy 0.6288659793814433   precision 0.5199743471631757   recall 0.5173880134249119
deviation 1/5   iterations 1000/2000   F1 0.5059573259488054   accuracy 0.6378865979381443   precision 0.5254175519927887   recall 0.5092540362886299
deviation 1/5   iterations 1010/2000   F1 0.5049550901903395   accuracy 0.6301546391752577   precision 0.5146167066859929   recall 0.5127415329855364
deviation 1/5   iterations 1020/2000   F1 0.48915529552836895   accuracy 0.6146907216494846   precision 0.5215605225439257   recall 0.4935557002334254
deviation 1/5   iterations 1030/2000   F1 0.5168187087274186   accuracy 0.6481958762886598   precision 0.5223697513298032   recall 0.5231896910096004
deviation 1/5   iterations 1040/2000   F1 0.512485359175563   accuracy 0.6314432989690721   precision 0.5282619883859435   recall 0.5214401609751668
deviation 1/5   iterations 1050/2000   F1 0.5117951345708898   accuracy 0.6443298969072165   precision 0.5269706020523827   recall 0.5170985219649101
deviation 1/5   iterations 1060/2000   F1 0.5133625915730321   accuracy 0.6353092783505154   precision 0.5217174240859556   recall 0.5233297543882793
deviation 1/5   iterations 1070/2000   F1 0.5043425403407399   accuracy 0.625   precision 0.5260816478207783   recall 0.5111117489966536
deviation 1/5   iterations 1080/2000   F1 0.5022299126746671   accuracy 0.6237113402061856   precision 0.5277587536222864   recall 0.5078437120704096
deviation 1/5   iterations 1090/2000   F1 0.5158952310275254   accuracy 0.6520618556701031   precision 0.5226559714795008   recall 0.5201114318182466
deviation 1/5   iterations 1100/2000   F1 0.5093306219887673   accuracy 0.634020618556701   precision 0.5228715935127455   recall 0.5167189664951297
deviation 1/5   iterations 1110/2000   F1 0.5112638329909279   accuracy 0.6224226804123711   precision 0.5221048594766912   recall 0.5261388394527593
deviation 1/5   iterations 1120/2000   F1 0.49388884477064526   accuracy 0.6237113402061856   precision 0.5183231389094903   recall 0.49649389604610034
deviation 1/5   iterations 1130/2000   F1 0.5070523488713105   accuracy 0.6211340206185567   precision 0.5175397048060734   recall 0.5202017808407141
deviation 1/5   iterations 1140/2000   F1 0.5077929928993759   accuracy 0.6365979381443299   precision 0.5199122334052241   recall 0.5137154213444374
deviation 1/5   iterations 1150/2000   F1 0.5039392504693606   accuracy 0.6146907216494846   precision 0.5183982157698361   recall 0.5176953385360364
deviation 1/5   iterations 1160/2000   F1 0.5039752192020269   accuracy 0.6365979381443299   precision 0.5114267124798358   recall 0.5100950273021798
deviation 1/5   iterations 1170/2000   F1 0.5115875757940742   accuracy 0.6378865979381443   precision 0.5240636175853989   recall 0.5187936552918102
deviation 1/5   iterations 1180/2000   F1 0.5094016662572255   accuracy 0.6314432989690721   precision 0.5212523251370369   recall 0.5188636869811497
deviation 1/5   iterations 1190/2000   F1 0.5053195720510661   accuracy 0.6327319587628866   precision 0.5172811933887745   recall 0.5116407325477569
deviation 1/5   iterations 1200/2000   F1 0.5031556416268846   accuracy 0.6301546391752577   precision 0.5140483938300675   recall 0.5093062343268469
deviation 1/5   iterations 1210/2000   F1 0.5043353370521798   accuracy 0.634020618556701   precision 0.5103336255510168   recall 0.5111958277399592
deviation 1/5   iterations 1220/2000   F1 0.5009444006409072   accuracy 0.6301546391752577   precision 0.5189760533499715   recall 0.5051046586952689
deviation 1/5   iterations 1230/2000   F1 0.4991902388766373   accuracy 0.6069587628865979   precision 0.5181235779603786   recall 0.5118283116133306
deviation 1/5   iterations 1240/2000   F1 0.5075470110078192   accuracy 0.6404639175257731   precision 0.5282400052502704   recall 0.51158853450954
deviation 1/5   iterations 1250/2000   F1 0.5062541798586926   accuracy 0.6314432989690721   precision 0.5127905491698596   recall 0.5159170222199965
deviation 1/5   iterations 1260/2000   F1 0.5039894511905195   accuracy 0.634020618556701   precision 0.5147001501526625   recall 0.5096632737941825
deviation 1/5   iterations 1270/2000   F1 0.5012427917712065   accuracy 0.6185567010309279   precision 0.5175385697773757   recall 0.5110892329942089
deviation 1/5   iterations 1280/2000   F1 0.50216878398338   accuracy 0.6108247422680413   precision 0.5189770299145299   recall 0.515620649739356
deviation 1/5   iterations 1290/2000   F1 0.5044161185806025   accuracy 0.6365979381443299   precision 0.5129422712413629   recall 0.5101875749939638
deviation 1/5   iterations 1300/2000   F1 0.48708695008516906   accuracy 0.5876288659793815   precision 0.517571139161602   recall 0.5017325107052802
deviation 1/5   iterations 1310/2000   F1 0.5149289005152197   accuracy 0.6494845360824743   precision 0.52400707154016   recall 0.5206310506667058
deviation 1/5   iterations 1320/2000   F1 0.5132340311906876   accuracy 0.6378865979381443   precision 0.5208991581985672   recall 0.5229026832316042
deviation 1/5   iterations 1330/2000   F1 0.5050530913711045   accuracy 0.6301546391752577   precision 0.5229670726396042   recall 0.5112089790397597
deviation 1/5   iterations 1340/2000   F1 0.49195702089215043   accuracy 0.6056701030927835   precision 0.5143995846439128   recall 0.49892810799212234
deviation 1/5   iterations 1350/2000   F1 0.5101092257004456   accuracy 0.6353092783505154   precision 0.5178753076292043   recall 0.5190356310649173
deviation 1/5   iterations 1360/2000   F1 0.5061378275960744   accuracy 0.6391752577319587   precision 0.5180503901096402   recall 0.5107118761937451
deviation 1/5   iterations 1370/2000   F1 0.49207926223227805   accuracy 0.6018041237113402   precision 0.5131815749494104   recall 0.5020989148752601
deviation 1/5   iterations 1380/2000   F1 0.5105770787972577   accuracy 0.654639175257732   precision 0.5178273098962226   recall 0.5128137633441923
deviation 1/5   iterations 1390/2000   F1 0.5060744963867613   accuracy 0.6301546391752577   precision 0.5159107846268497   recall 0.5144591823148812
deviation 1/5   iterations 1400/2000   F1 0.5099839943046618   accuracy 0.6391752577319587   precision 0.5189517520375989   recall 0.5177675688946923
deviation 1/5   iterations 1410/2000   F1 0.48576606076504314   accuracy 0.5914948453608248   precision 0.5132600919775167   recall 0.4958001344445571
deviation 1/5   iterations 1420/2000   F1 0.5163036399809947   accuracy 0.6469072164948454   precision 0.522141363048353   recall 0.5244008727902865
deviation 1/5   iterations 1430/2000   F1 0.508901349366152   accuracy 0.6353092783505154   precision 0.5236990745026772   recall 0.5194058218320534
deviation 1/5   iterations 1440/2000   F1 0.5099484657344919   accuracy 0.6378865979381443   precision 0.5233207988006404   recall 0.5189787506753784
deviation 1/5   iterations 1450/2000   F1 0.5137342584914045   accuracy 0.6301546391752577   precision 0.5234222023977831   recall 0.5267603706956469
deviation 1/5   iterations 1460/2000   F1 0.5147813201174506   accuracy 0.6443298969072165   precision 0.5232374838326891   recall 0.5232028423094008
deviation 1/5   iterations 1470/2000   F1 0.5105253821041011   accuracy 0.6327319587628866   precision 0.5148374290678106   recall 0.5228054531884979
deviation 1/5   iterations 1480/2000   F1 0.5014271504954961   accuracy 0.6353092783505154   precision 0.5149965980539228   recall 0.5089148304724166
deviation 1/5   iterations 1490/2000   F1 0.4941339730851542   accuracy 0.604381443298969   precision 0.5132962414561554   recall 0.5089126318031002
deviation 1/5   iterations 1500/2000   F1 0.5065455035575703   accuracy 0.6378865979381443   precision 0.5159647172008203   recall 0.5135481596119919
deviation 1/5   iterations 1510/2000   F1 0.5029114397842259   accuracy 0.615979381443299   precision 0.5137896699571382   recall 0.5173429814200228
deviation 1/5   iterations 1520/2000   F1 0.4883074670539987   accuracy 0.6095360824742269   precision 0.5143547494604174   recall 0.49784514120546525
deviation 1/5   iterations 1530/2000   F1 0.5039943204866889   accuracy 0.625   precision 0.514881450388836   recall 0.5145470476553431
deviation 1/5   iterations 1540/2000   F1 0.48514070244347424   accuracy 0.5940721649484536   precision 0.5109184191574574   recall 0.49641698333612233
deviation 1/5   iterations 1550/2000   F1 0.5011715438725507   accuracy 0.6327319587628866   precision 0.5063772418590309   recall 0.5080203385054993
deviation 1/5   iterations 1560/2000   F1 0.4993734989632819   accuracy 0.6275773195876289   precision 0.5054992107321271   recall 0.5085968377434975
deviation 1/5   iterations 1570/2000   F1 0.4855122227229424   accuracy 0.5992268041237113   precision 0.5094827987384731   recall 0.49841695809214137
deviation 1/5   iterations 1580/2000   F1 0.4832441569721994   accuracy 0.5979381443298969   precision 0.5036670675901732   recall 0.4941050011176569
deviation 1/5   iterations 1590/2000   F1 0.5094701890888255   accuracy 0.6469072164948454   precision 0.510252160144227   recall 0.5155349830682104
deviation 1/5   iterations 1600/2000   F1 0.5083089839709468   accuracy 0.6391752577319587   precision 0.5110957372752981   recall 0.5166311011546679
deviation 1/5   iterations 1610/2000   F1 0.48426908921326683   accuracy 0.5914948453608248   precision 0.5203533587878207   recall 0.497887974541038
deviation 1/5   iterations 1620/2000   F1 0.48819662753148996   accuracy 0.6005154639175257   precision 0.5070141323872667   recall 0.4988308779490161
deviation 1/5   iterations 1630/2000   F1 0.5027849969804613   accuracy 0.6430412371134021   precision 0.5076159673402467   recall 0.5075410693106073
deviation 1/5   iterations 1640/2000   F1 0.4959060881008144   accuracy 0.6134020618556701   precision 0.5068091600844421   recall 0.5073716089088453
deviation 1/5   iterations 1650/2000   F1 0.5006167521970989   accuracy 0.6224226804123711   precision 0.5134293762594715   recall 0.5115388201533287
deviation 1/5   iterations 1660/2000   F1 0.5032976057868285   accuracy 0.6237113402061856   precision 0.5126326586255313   recall 0.5147143093877887
deviation 1/5   iterations 1670/2000   F1 0.5015115543560926   accuracy 0.6262886597938144   precision 0.5090206777387488   recall 0.51075939188064
deviation 1/5   iterations 1680/2000   F1 0.49476455980184236   accuracy 0.615979381443299   precision 0.5044861715146353   recall 0.5053194361146093
deviation 1/5   iterations 1690/2000   F1 0.49160693619131907   accuracy 0.6134020618556701   precision 0.5110084762258675   recall 0.49973473461857765
deviation 1/5   iterations 1700/2000   F1 0.4871322096089898   accuracy 0.5940721649484536   precision 0.5089727994157838   recall 0.4988083619465715
deviation 1/5   iterations 1710/2000   F1 0.5010448738042446   accuracy 0.6288659793814433   precision 0.5104586025646484   recall 0.508707219086404
deviation 1/5   iterations 1720/2000   F1 0.5091228539209537   accuracy 0.6327319587628866   precision 0.5172012666264071   recall 0.5186038775569201
deviation 1/5   iterations 1730/2000   F1 0.478447067892803   accuracy 0.5747422680412371   precision 0.5143163875418092   recall 0.4922404073889946
deviation 1/5   iterations 1740/2000   F1 0.506138071525409   accuracy 0.6353092783505154   precision 0.5156827425792965   recall 0.513975230768667
deviation 1/5   iterations 1750/2000   F1 0.5187915031168989   accuracy 0.6507731958762887   precision 0.5185844347126028   recall 0.5312583188078652
deviation 1/5   iterations 1760/2000   F1 0.5101417615763878   accuracy 0.6585051546391752   precision 0.5113457593203324   recall 0.51298570742796
deviation 1/5   iterations 1770/2000   F1 0.5030353459820337   accuracy 0.6262886597938144   precision 0.5141092637116564   recall 0.5125695889017687
deviation 1/5   iterations 1780/2000   F1 0.49769531968008485   accuracy 0.6134020618556701   precision 0.513404858073747   recall 0.5083229812653016
deviation 1/5   iterations 1790/2000   F1 0.4994539703164033   accuracy 0.6327319587628866   precision 0.5113178164902302   recall 0.5065803322515066
deviation 1/5   iterations 1800/2000   F1 0.4875952622218664   accuracy 0.5927835051546392   precision 0.5082248349293804   recall 0.5015520976730342
deviation 1/5   iterations 1810/2000   F1 0.5023639486969763   accuracy 0.634020618556701   precision 0.5155416101176775   recall 0.5089895445130782
deviation 1/5   iterations 1820/2000   F1 0.5072225161497835   accuracy 0.6301546391752577   precision 0.5149252627261868   recall 0.5179870286653547
deviation 1/5   iterations 1830/2000   F1 0.49523678151859407   accuracy 0.6172680412371134   precision 0.5110446096626892   recall 0.5043858974092754
deviation 1/5   iterations 1840/2000   F1 0.4989484022907691   accuracy 0.625   precision 0.5123729674796748   recall 0.5067250779815076
deviation 1/5   iterations 1850/2000   F1 0.49334346784595545   accuracy 0.6056701030927835   precision 0.5145705710285616   recall 0.505217523720181
deviation 1/5   iterations 1860/2000   F1 0.49521367521367515   accuracy 0.6185567010309279   precision 0.5152869496638132   recall 0.5043111833686139
deviation 1/5   iterations 1870/2000   F1 0.49134378724529326   accuracy 0.6056701030927835   precision 0.5093793913051068   recall 0.5015045819861395
deviation 1/5   iterations 1880/2000   F1 0.5167280611299493   accuracy 0.6533505154639175   precision 0.5233167679339674   recall 0.5236571118198426
deviation 1/5   iterations 1890/2000   F1 0.4871747703370941   accuracy 0.5966494845360825   precision 0.5120186335403726   recall 0.49865893386524845
deviation 1/5   iterations 1900/2000   F1 0.4979383002318782   accuracy 0.6095360824742269   precision 0.5145625085660122   recall 0.5106349634837671
deviation 1/5   iterations 1910/2000   F1 0.49317678033859585   accuracy 0.6134020618556701   precision 0.5092686637635058   recall 0.5031700332772672
deviation 1/5   iterations 1920/2000   F1 0.502960882420444   accuracy 0.6237113402061856   precision 0.5103305874493085   recall 0.5155731340524611
deviation 1/5   iterations 1930/2000   F1 0.5011699158682904   accuracy 0.6224226804123711   precision 0.5104122357492193   recall 0.5131639217908894
deviation 1/5   iterations 1940/2000   F1 0.4999802605606001   accuracy 0.6198453608247423   precision 0.5140606762531248   recall 0.5110145189535474
deviation 1/5   iterations 1950/2000   F1 0.5005776736924278   accuracy 0.6146907216494846   precision 0.5132135554370748   recall 0.5142600398773468
deviation 1/5   iterations 1960/2000   F1 0.5115895983162325   accuracy 0.625   precision 0.5193867905726667   recall 0.5275219653172131
deviation 1/5   iterations 1970/2000   F1 0.5303778984872379   accuracy 0.6559278350515464   precision 0.5303152055533302   recall 0.5423092786695282
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deviation 1/5   iterations 1980/2000   F1 0.5328773321963468   accuracy 0.663659793814433   precision 0.530883131452772   recall 0.5444633638581924
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deviation 1/5   iterations 1990/2000   F1 0.5227027986336341   accuracy 0.6507731958762887   precision 0.5243910647320688   recall 0.5342049835690185
deviation 1/5   iterations 2000/2000   F1 0.517550651550816   accuracy 0.6443298969072165   precision 0.5227187947820178   recall 0.5282632426056512

deviation 2/5   iterations 10/2000   F1 0.21685266665295055   accuracy 0.25806451612903225   precision 0.3889941476148373   recall 0.3527641818670612
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deviation 2/5   iterations 20/2000   F1 0.24671373044274203   accuracy 0.2670967741935484   precision 0.3974772634452211   recall 0.37116828074984304
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deviation 2/5   iterations 30/2000   F1 0.36716026941590857   accuracy 0.42451612903225805   precision 0.4441432122548545   recall 0.42518684798329187
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deviation 2/5   iterations 40/2000   F1 0.4231815332048086   accuracy 0.5406451612903226   precision 0.43465205656281175   recall 0.4376959312406621
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deviation 2/5   iterations 50/2000   F1 0.4304664939443425   accuracy 0.5819354838709677   precision 0.4331055298545457   recall 0.4371174334891211
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deviation 2/5   iterations 60/2000   F1 0.4538970979401938   accuracy 0.6038709677419355   precision 0.4549237111649454   recall 0.4568593339888169
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deviation 2/5   iterations 70/2000   F1 0.44330583940454166   accuracy 0.5548387096774193   precision 0.45118436027526937   recall 0.454535934519716
deviation 2/5   iterations 80/2000   F1 0.45091700173908533   accuracy 0.5806451612903226   precision 0.45745466217300595   recall 0.45524901419761604
deviation 2/5   iterations 90/2000   F1 0.4446197025465011   accuracy 0.5754838709677419   precision 0.44764081552402724   recall 0.4529674210290437
deviation 2/5   iterations 100/2000   F1 0.4528064101919558   accuracy 0.6103225806451613   precision 0.45123524696622375   recall 0.455859664348585
deviation 2/5   iterations 110/2000   F1 0.46379925449499976   accuracy 0.5806451612903226   precision 0.46834231113917674   recall 0.473372904510319
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deviation 2/5   iterations 120/2000   F1 0.4645635835472495   accuracy 0.6090322580645161   precision 0.46681616194297115   recall 0.465751640467779
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deviation 2/5   iterations 130/2000   F1 0.470089992509857   accuracy 0.6116129032258064   precision 0.469719383684471   recall 0.48432901869404316
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deviation 2/5   iterations 140/2000   F1 0.4685062510180071   accuracy 0.5935483870967742   precision 0.48839960087772716   recall 0.47188211310477807
deviation 2/5   iterations 150/2000   F1 0.4789043410324217   accuracy 0.6180645161290322   precision 0.47997899159663865   recall 0.4836471914756381
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deviation 2/5   iterations 160/2000   F1 0.4771146959029456   accuracy 0.584516129032258   precision 0.48580084699341786   recall 0.49036147969105554
deviation 2/5   iterations 170/2000   F1 0.5007079428348861   accuracy 0.6477419354838709   precision 0.49997788990174846   recall 0.5031445537516941
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deviation 2/5   iterations 180/2000   F1 0.47976522382280423   accuracy 0.5883870967741935   precision 0.48723322800541685   recall 0.4933022379542631
deviation 2/5   iterations 190/2000   F1 0.4884593004797608   accuracy 0.5987096774193549   precision 0.5029478330888909   recall 0.49815937739864674
deviation 2/5   iterations 200/2000   F1 0.4977439783025681   accuracy 0.6206451612903225   precision 0.5081283147025922   recall 0.5046559619629751
deviation 2/5   iterations 210/2000   F1 0.4873337945399682   accuracy 0.5961290322580645   precision 0.502516509096926   recall 0.49764232100072014
deviation 2/5   iterations 220/2000   F1 0.4885851387322897   accuracy 0.5987096774193549   precision 0.5009881624774025   recall 0.49896187838080847
deviation 2/5   iterations 230/2000   F1 0.5033068213359367   accuracy 0.6193548387096774   precision 0.512043664183255   recall 0.5126250936960189
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deviation 2/5   iterations 240/2000   F1 0.49615540694250054   accuracy 0.6129032258064516   precision 0.5012225749633067   recall 0.5072444346487347
deviation 2/5   iterations 250/2000   F1 0.4947329266971696   accuracy 0.6116129032258064   precision 0.5133817338558718   recall 0.4998150214373873
deviation 2/5   iterations 260/2000   F1 0.4963262377337532   accuracy 0.6206451612903225   precision 0.49935947227349864   recall 0.5060702584742026
deviation 2/5   iterations 270/2000   F1 0.4836199462851014   accuracy 0.5935483870967742   precision 0.5044287587427422   recall 0.4874077950178998
deviation 2/5   iterations 280/2000   F1 0.49840106966389747   accuracy 0.6180645161290322   precision 0.505605970110912   recall 0.5073489094936954
deviation 2/5   iterations 290/2000   F1 0.48532634267661484   accuracy 0.5922580645161291   precision 0.5065912306815884   recall 0.4911101479026736
deviation 2/5   iterations 300/2000   F1 0.5008464729091419   accuracy 0.6270967741935484   precision 0.5020616243370993   recall 0.5112602120683909
deviation 2/5   iterations 310/2000   F1 0.4882198820910244   accuracy 0.5832258064516129   precision 0.5090984326774123   recall 0.5020491632276689
deviation 2/5   iterations 320/2000   F1 0.5044127479367461   accuracy 0.6270967741935484   precision 0.5096653337198855   recall 0.5123169869880139
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deviation 2/5   iterations 330/2000   F1 0.4978176570603952   accuracy 0.6193548387096774   precision 0.506593068119061   recall 0.5047033315285447
deviation 2/5   iterations 340/2000   F1 0.4861885883153545   accuracy 0.6   precision 0.5088217639487703   recall 0.49099274664776466
deviation 2/5   iterations 350/2000   F1 0.5005006844525856   accuracy 0.6283870967741936   precision 0.5071388823531608   recall 0.5060164257036589
deviation 2/5   iterations 360/2000   F1 0.49879583162055924   accuracy 0.6167741935483871   precision 0.5083303792981212   recall 0.5067844835301992
deviation 2/5   iterations 370/2000   F1 0.4986240927313464   accuracy 0.6116129032258064   precision 0.5115922335960382   recall 0.5066800086852384
deviation 2/5   iterations 380/2000   F1 0.49956738707705894   accuracy 0.607741935483871   precision 0.5169651002163317   recall 0.509062804189924
deviation 2/5   iterations 390/2000   F1 0.4953381071198873   accuracy 0.6051612903225806   precision 0.5151320901320902   recall 0.503349330992835
deviation 2/5   iterations 400/2000   F1 0.4963062097443974   accuracy 0.5948387096774194   precision 0.5196183806023623   recall 0.5082732296177105
deviation 2/5   iterations 410/2000   F1 0.5192493367116642   accuracy 0.6412903225806451   precision 0.5209726511297238   recall 0.5303805813251992
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deviation 2/5   iterations 420/2000   F1 0.501781242078608   accuracy 0.6154838709677419   precision 0.5189604537376815   recall 0.5097479039171767
deviation 2/5   iterations 430/2000   F1 0.5059277748467584   accuracy 0.6012903225806452   precision 0.5228994052488208   recall 0.525651724227643
deviation 2/5   iterations 440/2000   F1 0.5278659548256551   accuracy 0.6567741935483871   precision 0.5266742963100794   recall 0.5368836290945017
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deviation 2/5   iterations 450/2000   F1 0.4888000326525162   accuracy 0.5883870967741935   precision 0.5151166967029964   recall 0.4987529286908868
deviation 2/5   iterations 460/2000   F1 0.5251525725695051   accuracy 0.6451612903225806   precision 0.5261864927187507   recall 0.5385177563875692
deviation 2/5   iterations 470/2000   F1 0.49936665138665653   accuracy 0.6064516129032258   precision 0.5175570519305474   recall 0.5101033801907513
deviation 2/5   iterations 480/2000   F1 0.5006976544240742   accuracy 0.6206451612903225   precision 0.5115713831876899   recall 0.508056671344718
deviation 2/5   iterations 490/2000   F1 0.5008511592032671   accuracy 0.6154838709677419   precision 0.5176303531859088   recall 0.5088818344506497
deviation 2/5   iterations 500/2000   F1 0.5102055033089516   accuracy 0.6219354838709678   precision 0.520178402138355   recall 0.5226689142257432
deviation 2/5   iterations 510/2000   F1 0.5127524656102832   accuracy 0.6296774193548387   precision 0.5207979967531401   recall 0.5232904454686306
deviation 2/5   iterations 520/2000   F1 0.5120216612881413   accuracy 0.6245161290322581   precision 0.5201019796523901   recall 0.5249181095567239
deviation 2/5   iterations 530/2000   F1 0.5049747300329276   accuracy 0.6141935483870967   precision 0.5173924892109997   recall 0.5168509661836934
deviation 2/5   iterations 540/2000   F1 0.4889447130037297   accuracy 0.5858064516129032   precision 0.5161175692115966   recall 0.504552632496111
deviation 2/5   iterations 550/2000   F1 0.5283001167850118   accuracy 0.6619354838709678   precision 0.5256036133523738   recall 0.5361220344729355
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deviation 2/5   iterations 560/2000   F1 0.5135330375931729   accuracy 0.6180645161290322   precision 0.5249245796938105   recall 0.5302481265295911
deviation 2/5   iterations 570/2000   F1 0.5155143609233578   accuracy 0.6309677419354839   precision 0.5236550065786489   recall 0.527509854751331
deviation 2/5   iterations 580/2000   F1 0.5134438946804528   accuracy 0.6374193548387097   precision 0.5215093975963542   recall 0.5205112673297752
deviation 2/5   iterations 590/2000   F1 0.5217370279027032   accuracy 0.6245161290322581   precision 0.5309122671551514   recall 0.5415641348738341
deviation 2/5   iterations 600/2000   F1 0.5261372726333471   accuracy 0.6593548387096774   precision 0.5240781524881463   recall 0.5355414095906436
deviation 2/5   iterations 610/2000   F1 0.5085608809433635   accuracy 0.6283870967741936   precision 0.5140029745905458   recall 0.5198735371680919
deviation 2/5   iterations 620/2000   F1 0.515739543353435   accuracy 0.632258064516129   precision 0.5225222316268051   recall 0.5273353482170308
deviation 2/5   iterations 630/2000   F1 0.5047574947599177   accuracy 0.6193548387096774   precision 0.5148087124991952   recall 0.5151597336112347
deviation 2/5   iterations 640/2000   F1 0.5185623081065335   accuracy 0.6283870967741936   precision 0.5227334516482273   recall 0.5382517014182562
deviation 2/5   iterations 650/2000   F1 0.5083844475370686   accuracy 0.6245161290322581   precision 0.5245371512602409   recall 0.5172506213267111
deviation 2/5   iterations 660/2000   F1 0.5220135988319169   accuracy 0.6296774193548387   precision 0.5278151957005263   recall 0.5408025402522679
deviation 2/5   iterations 670/2000   F1 0.5180073222264188   accuracy 0.6348387096774194   precision 0.5244669031523994   recall 0.5295845435480117
deviation 2/5   iterations 680/2000   F1 0.5203634442578892   accuracy 0.6270967741935484   precision 0.5273540700958762   recall 0.5385533449212871
deviation 2/5   iterations 690/2000   F1 0.5233259068939397   accuracy 0.6477419354838709   precision 0.523710963554968   recall 0.5363094674171839
deviation 2/5   iterations 700/2000   F1 0.5238503002837521   accuracy 0.632258064516129   precision 0.5296148452519832   recall 0.5421856661167216
deviation 2/5   iterations 710/2000   F1 0.51128142985137   accuracy 0.6245161290322581   precision 0.5238678847342845   recall 0.5224470381258736
deviation 2/5   iterations 720/2000   F1 0.5211448598130841   accuracy 0.6335483870967742   precision 0.5239411660464293   recall 0.5409543846627982
deviation 2/5   iterations 730/2000   F1 0.5273253834010797   accuracy 0.6529032258064517   precision 0.5303487398672012   recall 0.5366046477152406
deviation 2/5   iterations 740/2000   F1 0.5173644226436437   accuracy 0.6232258064516129   precision 0.5262170805532235   recall 0.5355490181737143
deviation 2/5   iterations 750/2000   F1 0.5386321633631993   accuracy 0.6683870967741935   precision 0.5383517771672574   recall 0.5475016113015438
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deviation 2/5   iterations 760/2000   F1 0.5262695673610255   accuracy 0.6296774193548387   precision 0.5340238232307594   recall 0.5469285950023227
deviation 2/5   iterations 770/2000   F1 0.5275094403221324   accuracy 0.6348387096774194   precision 0.5335857872367143   recall 0.5462305688651218
deviation 2/5   iterations 780/2000   F1 0.5270923126470409   accuracy 0.6412903225806451   precision 0.5308018178450072   recall 0.5434351918074705
deviation 2/5   iterations 790/2000   F1 0.5245565869279653   accuracy 0.6309677419354839   precision 0.533648885702801   recall 0.5424237411353872
deviation 2/5   iterations 800/2000   F1 0.523487256437683   accuracy 0.6374193548387097   precision 0.5288992480852946   recall 0.5387622946112087
deviation 2/5   iterations 810/2000   F1 0.5217128193686777   accuracy 0.6296774193548387   precision 0.527817246302266   recall 0.5424075422165914
deviation 2/5   iterations 820/2000   F1 0.5269803154427563   accuracy 0.6490322580645161   precision 0.5291781832554365   recall 0.5388603062511955
deviation 2/5   iterations 830/2000   F1 0.5254384081366262   accuracy 0.632258064516129   precision 0.5305385269144145   recall 0.5473185144315186
deviation 2/5   iterations 840/2000   F1 0.5083654638471665   accuracy 0.6129032258064516   precision 0.5252344874806895   recall 0.5223490264858867
deviation 2/5   iterations 850/2000   F1 0.5289249546630804   accuracy 0.6412903225806451   precision 0.5294728601491551   recall 0.5494976780731599
deviation 2/5   iterations 860/2000   F1 0.5225773045835395   accuracy 0.6309677419354839   precision 0.5296510420334043   recall 0.5397619642514406
deviation 2/5   iterations 870/2000   F1 0.5134425130217557   accuracy 0.6103225806451613   precision 0.5263804488457706   recall 0.5356890815523931
deviation 2/5   iterations 880/2000   F1 0.5333792809012818   accuracy 0.6516129032258065   precision 0.5366430133350238   recall 0.5464330553500693
deviation 2/5   iterations 890/2000   F1 0.5265775226793628   accuracy 0.6503225806451612   precision 0.5252426742842587   recall 0.5462897194625428
deviation 2/5   iterations 900/2000   F1 0.5109735531429119   accuracy 0.6129032258064516   precision 0.5339597525644036   recall 0.526004009805091
deviation 2/5   iterations 910/2000   F1 0.5157636625473488   accuracy 0.6296774193548387   precision 0.5209948684354188   recall 0.5327536411160629
deviation 2/5   iterations 920/2000   F1 0.5325250463434332   accuracy 0.6606451612903226   precision 0.5311251912165807   recall 0.5449572356725062
deviation 2/5   iterations 930/2000   F1 0.5106438194787258   accuracy 0.5974193548387097   precision 0.5324497716762585   recall 0.5341605744823832
deviation 2/5   iterations 940/2000   F1 0.5220264024235751   accuracy 0.6296774193548387   precision 0.5275281762823979   recall 0.5407389717679026
deviation 2/5   iterations 950/2000   F1 0.5343380109714136   accuracy 0.6503225806451612   precision 0.5364636333464263   recall 0.5492057702839507
deviation 2/5   iterations 960/2000   F1 0.5105945692356814   accuracy 0.6232258064516129   precision 0.5167489294369608   recall 0.5300983274370905
deviation 2/5   iterations 970/2000   F1 0.5347273474625526   accuracy 0.6541935483870968   precision 0.5324809419381787   recall 0.5511533221119005
deviation 2/5   iterations 980/2000   F1 0.5082244379558221   accuracy 0.6064516129032258   precision 0.5241629995002982   recall 0.525819767556969
deviation 2/5   iterations 990/2000   F1 0.5170318747649009   accuracy 0.6361290322580645   precision 0.5183436296853611   recall 0.5352818178263047
deviation 2/5   iterations 1000/2000   F1 0.5210199354042387   accuracy 0.632258064516129   precision 0.5327281848023214   recall 0.5335249714514511
deviation 2/5   iterations 1010/2000   F1 0.5141711014352524   accuracy 0.6206451612903225   precision 0.5223702735201463   recall 0.5332362543583682
deviation 2/5   iterations 1020/2000   F1 0.52128982276197   accuracy 0.6387096774193548   precision 0.5233948286071987   recall 0.5367285121751237
deviation 2/5   iterations 1030/2000   F1 0.508226132361746   accuracy 0.6103225806451613   precision 0.5246607405169013   recall 0.5235641090210142
deviation 2/5   iterations 1040/2000   F1 0.5193569786153593   accuracy 0.6335483870967742   precision 0.5236322854980294   recall 0.5357579678636358
deviation 2/5   iterations 1050/2000   F1 0.5153656634481644   accuracy 0.6258064516129033   precision 0.523146550897974   recall 0.5316085902702749
deviation 2/5   iterations 1060/2000   F1 0.5166722738206122   accuracy 0.6361290322580645   precision 0.5177982664172763   recall 0.5344157483597777
deviation 2/5   iterations 1070/2000   F1 0.5143817284890179   accuracy 0.6129032258064516   precision 0.5298449296580986   recall 0.5328054285685768
deviation 2/5   iterations 1080/2000   F1 0.5202354717983663   accuracy 0.6232258064516129   precision 0.5328349709710943   recall 0.5374718625598645
deviation 2/5   iterations 1090/2000   F1 0.5090798509367236   accuracy 0.6348387096774194   precision 0.5099309014116317   recall 0.5283370631752925
deviation 2/5   iterations 1100/2000   F1 0.5239094989446372   accuracy 0.6335483870967742   precision 0.527868747972002   recall 0.5436797300311101
deviation 2/5   iterations 1110/2000   F1 0.5218400488400489   accuracy 0.6477419354838709   precision 0.5213651616098244   recall 0.5371119683993455
deviation 2/5   iterations 1120/2000   F1 0.5080971659919028   accuracy 0.6167741935483871   precision 0.5156227282354221   recall 0.53016835912643
deviation 2/5   iterations 1130/2000   F1 0.5339007888829043   accuracy 0.6567741935483871   precision 0.5336698615152445   recall 0.5473400311771918
deviation 2/5   iterations 1140/2000   F1 0.513939782155417   accuracy 0.6141935483870967   precision 0.5241540877891128   recall 0.5351655619494924
deviation 2/5   iterations 1150/2000   F1 0.5151946775178347   accuracy 0.632258064516129   precision 0.5203355276444978   recall 0.5289403501813542
deviation 2/5   iterations 1160/2000   F1 0.5234790488247811   accuracy 0.6503225806451612   precision 0.5230589153549492   recall 0.5376290247972721
deviation 2/5   iterations 1170/2000   F1 0.4990964414577461   accuracy 0.5987096774193549   precision 0.5173307503490696   recall 0.5137486277961338
deviation 2/5   iterations 1180/2000   F1 0.5196153409306024   accuracy 0.6270967741935484   precision 0.5296334473049075   recall 0.5350890670551789
deviation 2/5   iterations 1190/2000   F1 0.5178361784859725   accuracy 0.6387096774193548   precision 0.5184077010615439   recall 0.5366013752063931
deviation 2/5   iterations 1200/2000   F1 0.5163769632260173   accuracy 0.6335483870967742   precision 0.5196838277951273   recall 0.5313640520466353
deviation 2/5   iterations 1210/2000   F1 0.5158782727088739   accuracy 0.6374193548387097   precision 0.5166817443528794   recall 0.533311603874585
deviation 2/5   iterations 1220/2000   F1 0.5260882522884165   accuracy 0.64   precision 0.5302851337080394   recall 0.5419411278930819
deviation 2/5   iterations 1230/2000   F1 0.5190645094513625   accuracy 0.6258064516129033   precision 0.5293053982885083   recall 0.5353271420738445
deviation 2/5   iterations 1240/2000   F1 0.5329872405989696   accuracy 0.6490322580645161   precision 0.5343721364919083   recall 0.5493167083338856
deviation 2/5   iterations 1250/2000   F1 0.5283180977491899   accuracy 0.6412903225806451   precision 0.5287779124586529   recall 0.5477655391401057
deviation 2/5   iterations 1260/2000   F1 0.5118266831208007   accuracy 0.6167741935483871   precision 0.5240761478163494   recall 0.5278244246643101
deviation 2/5   iterations 1270/2000   F1 0.5196998722860792   accuracy 0.6361290322580645   precision 0.5225106980710864   recall 0.5354089547950354
deviation 2/5   iterations 1280/2000   F1 0.5122811123755705   accuracy 0.6206451612903225   precision 0.5187629450182044   recall 0.530638045958787
deviation 2/5   iterations 1290/2000   F1 0.5134206814661334   accuracy 0.6219354838709678   precision 0.5192944367517422   recall 0.5321956783575409
deviation 2/5   iterations 1300/2000   F1 0.5147251052619076   accuracy 0.6180645161290322   precision 0.5257807536288549   recall 0.5328463349291722
deviation 2/5   iterations 1310/2000   F1 0.5066252244627192   accuracy 0.6   precision 0.5264267477660134   recall 0.5267558687128355
deviation 2/5   iterations 1320/2000   F1 0.4929683087793646   accuracy 0.5741935483870968   precision 0.5296776671262831   recall 0.5113831765883409
deviation 2/5   iterations 1330/2000   F1 0.5270289277697756   accuracy 0.6529032258064517   precision 0.5255918303356634   recall 0.5408078580791452
deviation 2/5   iterations 1340/2000   F1 0.5203269877193851   accuracy 0.6412903225806451   precision 0.5193154836559309   recall 0.5405827094704279
deviation 2/5   iterations 1350/2000   F1 0.5104037868198851   accuracy 0.6167741935483871   precision 0.5215428438938757   recall 0.526092285731256
deviation 2/5   iterations 1360/2000   F1 0.5084548779685991   accuracy 0.607741935483871   precision 0.5200868699657102   recall 0.5291731073731424
deviation 2/5   iterations 1370/2000   F1 0.5178823769459769   accuracy 0.6387096774193548   precision 0.5177944739142296   recall 0.5366013752063931
deviation 2/5   iterations 1380/2000   F1 0.5020072013132512   accuracy 0.5961290322580645   precision 0.5220804045016313   recall 0.5212804705344122
deviation 2/5   iterations 1390/2000   F1 0.5102884180072372   accuracy 0.6141935483870967   precision 0.5206472837703593   recall 0.5298420081815993
deviation 2/5   iterations 1400/2000   F1 0.514805076888472   accuracy 0.632258064516129   precision 0.5185600835970707   recall 0.5306724891144085
deviation 2/5   iterations 1410/2000   F1 0.5091070174626324   accuracy 0.6103225806451613   precision 0.5229446289377796   recall 0.5278944563536495
deviation 2/5   iterations 1420/2000   F1 0.512543707681439   accuracy 0.6193548387096774   precision 0.5236434284145127   recall 0.5282779125778715
deviation 2/5   iterations 1430/2000   F1 0.5067568070181273   accuracy 0.6051612903225806   precision 0.5198532907874855   recall 0.527662844539958
deviation 2/5   iterations 1440/2000   F1 0.5066695227527219   accuracy 0.632258064516129   precision 0.508831635352139   recall 0.5217575205116763
deviation 2/5   iterations 1450/2000   F1 0.5048595891411706   accuracy 0.6193548387096774   precision 0.5110449219147947   recall 0.5210950829081935
deviation 2/5   iterations 1460/2000   F1 0.5213095574492977   accuracy 0.6541935483870968   precision 0.5197571720835077   recall 0.5352462292925867
deviation 2/5   iterations 1470/2000   F1 0.5043486740835564   accuracy 0.6141935483870967   precision 0.5123265521388284   recall 0.5235252479784486
deviation 2/5   iterations 1480/2000   F1 0.48354478107496757   accuracy 0.5690322580645162   precision 0.5161445721478005   recall 0.49976552474106684
deviation 2/5   iterations 1490/2000   F1 0.4916578678299703   accuracy 0.5870967741935483   precision 0.5118486137793864   recall 0.5083906308726194
deviation 2/5   iterations 1500/2000   F1 0.5179206554701614   accuracy 0.6438709677419355   precision 0.5172692530252987   recall 0.5358397805848268
deviation 2/5   iterations 1510/2000   F1 0.5260221757008107   accuracy 0.6503225806451612   precision 0.5240860466928868   recall 0.5403543701655841
deviation 2/5   iterations 1520/2000   F1 0.4831023475694954   accuracy 0.5703225806451613   precision 0.5086044506432956   recall 0.5038577970550365
deviation 2/5   iterations 1530/2000   F1 0.5165493882013529   accuracy 0.6348387096774194   precision 0.5239959968661795   recall 0.5279159730993227
deviation 2/5   iterations 1540/2000   F1 0.4911296123575639   accuracy 0.5716129032258065   precision 0.524398533425552   recall 0.5108025517060488
deviation 2/5   iterations 1550/2000   F1 0.4954447919568587   accuracy 0.5819354838709677   precision 0.5260816031256684   recall 0.5137368467642823
deviation 2/5   iterations 1560/2000   F1 0.5182817628997932   accuracy 0.6438709677419355   precision 0.5172693751902845   recall 0.5367058500513538
deviation 2/5   iterations 1570/2000   F1 0.5172822476293734   accuracy 0.6425806451612903   precision 0.516933098553365   recall 0.5351482176526
deviation 2/5   iterations 1580/2000   F1 0.5103904845857147   accuracy 0.6167741935483871   precision 0.5231893086559344   recall 0.525226216264729
deviation 2/5   iterations 1590/2000   F1 0.49554036133055784   accuracy 0.5883870967741935   precision 0.5135184251592287   recall 0.5170039559723204
deviation 2/5   iterations 1600/2000   F1 0.5033424188722803   accuracy 0.5987096774193549   precision 0.5189488981418632   recall 0.5251982363140816
deviation 2/5   iterations 1610/2000   F1 0.5083986077794213   accuracy 0.6090322580645161   precision 0.525131687855473   recall 0.5246046850218415
deviation 2/5   iterations 1620/2000   F1 0.4816249539067443   accuracy 0.56   precision 0.5134356701292581   recall 0.5054445547825345
deviation 2/5   iterations 1630/2000   F1 0.5192908004102418   accuracy 0.6258064516129033   precision 0.5239306118654854   recall 0.5387278514555874
deviation 2/5   iterations 1640/2000   F1 0.5029162825063916   accuracy 0.6180645161290322   precision 0.5073484994537626   recall 0.5229381598911825
deviation 2/5   iterations 1650/2000   F1 0.5142335332097491   accuracy 0.6283870967741936   precision 0.5199209645747565   recall 0.5286613688020932
deviation 2/5   iterations 1660/2000   F1 0.4945737450318249   accuracy 0.6051612903225806   precision 0.5022497697930195   recall 0.5142903916358601
deviation 2/5   iterations 1670/2000   F1 0.5244754786257539   accuracy 0.6451612903225806   precision 0.5244171276924685   recall 0.5393838258540962
deviation 2/5   iterations 1680/2000   F1 0.5181355821767987   accuracy 0.6296774193548387   precision 0.5226445111119448   recall 0.5355425549687401
deviation 2/5   iterations 1690/2000   F1 0.5077850817734803   accuracy 0.5987096774193549   precision 0.5261291083739827   recall 0.5305217900819746
deviation 2/5   iterations 1700/2000   F1 0.4927939585337797   accuracy 0.567741935483871   precision 0.5286055206139185   recall 0.5193749704451545
deviation 2/5   iterations 1710/2000   F1 0.5185757427616428   accuracy 0.6258064516129033   precision 0.5228032536994801   recall 0.5395303524377492
deviation 2/5   iterations 1720/2000   F1 0.5108333484899698   accuracy 0.6167741935483871   precision 0.5151397834117112   recall 0.5346258434277958
deviation 2/5   iterations 1730/2000   F1 0.5268921035172144   accuracy 0.6438709677419355   precision 0.529242538597844   recall 0.542220109272343
deviation 2/5   iterations 1740/2000   F1 0.5078495430381359   accuracy 0.6154838709677419   precision 0.513282569612907   recall 0.5295403646785685
deviation 2/5   iterations 1750/2000   F1 0.5136733315248323   accuracy 0.6180645161290322   precision 0.518136928373481   recall 0.5371131137774422
deviation 2/5   iterations 1760/2000   F1 0.5111762779610936   accuracy 0.6193548387096774   precision 0.5150622128092783   recall 0.5334107608926684
deviation 2/5   iterations 1770/2000   F1 0.49655057304996103   accuracy 0.5935483870967742   precision 0.5119406875740212   recall 0.5171719993016466
deviation 2/5   iterations 1780/2000   F1 0.503762935194147   accuracy 0.5974193548387097   precision 0.5183032271148393   recall 0.527970951247963
deviation 2/5   iterations 1790/2000   F1 0.5019327004150105   accuracy 0.5909677419354838   precision 0.5222799604081011   recall 0.5246402735555596
deviation 2/5   iterations 1800/2000   F1 0.5233743618793297   accuracy 0.6193548387096774   precision 0.5301992792028832   recall 0.5510499926450364
deviation 2/5   iterations 1810/2000   F1 0.5171510332362306   accuracy 0.6258064516129033   precision 0.5221269269113109   recall 0.5361296430560062
deviation 2/5   iterations 1820/2000   F1 0.5198858931985694   accuracy 0.6270967741935484   precision 0.5234627441523992   recall 0.5402854838543413
deviation 2/5   iterations 1830/2000   F1 0.5133116221533379   accuracy 0.6193548387096774   precision 0.5207517712421917   recall 0.5317421904439796
deviation 2/5   iterations 1840/2000   F1 0.5040938243305831   accuracy 0.5987096774193549   precision 0.5158611389819895   recall 0.5319996550775675
deviation 2/5   iterations 1850/2000   F1 0.5186712499204047   accuracy 0.6296774193548387   precision 0.523078701498727   recall 0.5355425549687401
deviation 2/5   iterations 1860/2000   F1 0.5132938089148898   accuracy 0.6141935483870967   precision 0.5200223800609859   recall 0.5377002018647082
deviation 2/5   iterations 1870/2000   F1 0.5088068107679788   accuracy 0.6141935483870967   precision 0.5132335936871856   recall 0.5307080776481264
deviation 2/5   iterations 1880/2000   F1 0.5037514281023744   accuracy 0.6103225806451613   precision 0.5103220380938818   recall 0.5225709025857564
deviation 2/5   iterations 1890/2000   F1 0.49630936209652904   accuracy 0.5909677419354838   precision 0.5098581917540566   recall 0.5192531513033012
deviation 2/5   iterations 1900/2000   F1 0.5018200570814817   accuracy 0.5858064516129032   precision 0.526258852934991   recall 0.5281272135454377
deviation 2/5   iterations 1910/2000   F1 0.5245798930341653   accuracy 0.6309677419354839   precision 0.5256692409267336   recall 0.547556589450184
deviation 2/5   iterations 1920/2000   F1 0.5148642333901479   accuracy 0.607741935483871   precision 0.5244385242958112   recall 0.5439598567884678
deviation 2/5   iterations 1930/2000   F1 0.5087386458439197   accuracy 0.6012903225806452   precision 0.519838114799355   recall 0.5362352632790637
deviation 2/5   iterations 1940/2000   F1 0.48993136604822435   accuracy 0.5767741935483871   precision 0.5160046954391269   recall 0.5136959404036868
deviation 2/5   iterations 1950/2000   F1 0.4771157338433601   accuracy 0.5535483870967742   precision 0.5157664447855433   recall 0.5022410140588617
deviation 2/5   iterations 1960/2000   F1 0.4822170019711098   accuracy 0.56   precision 0.5139866358735005   recall 0.5063741927334268
deviation 2/5   iterations 1970/2000   F1 0.5063653645719352   accuracy 0.607741935483871   precision 0.5148815263508538   recall 0.5281799009378846
deviation 2/5   iterations 1980/2000   F1 0.4805480887955114   accuracy 0.5651612903225807   precision 0.5072778085243322   recall 0.5020847517613869
deviation 2/5   iterations 1990/2000   F1 0.5144524518223937   accuracy 0.6335483870967742   precision 0.5156583013640238   recall 0.529631913113581
deviation 2/5   iterations 2000/2000   F1 0.5228849414157789   accuracy 0.6412903225806451   precision 0.5223037279914479   recall 0.5424419853722128

deviation 3/5   iterations 10/2000   F1 0.38159098367964067   accuracy 0.45478036175710596   precision 0.4214962406793248   recall 0.42559461517227987
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deviation 3/5   iterations 20/2000   F1 0.42318770383286514   accuracy 0.5271317829457365   precision 0.4315228084709781   recall 0.4418543478640486
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deviation 3/5   iterations 30/2000   F1 0.428454725339339   accuracy 0.541343669250646   precision 0.43023507500251684   recall 0.4416956701352774
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deviation 3/5   iterations 40/2000   F1 0.43415774870875873   accuracy 0.5607235142118863   precision 0.43250126807974293   recall 0.4399858366497429
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deviation 3/5   iterations 50/2000   F1 0.44388792994759646   accuracy 0.5749354005167958   precision 0.4424453934497176   recall 0.45099948932907646
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deviation 3/5   iterations 60/2000   F1 0.4469992567818655   accuracy 0.5710594315245479   precision 0.450795272112733   recall 0.45098915949501545
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deviation 3/5   iterations 70/2000   F1 0.4616812591571315   accuracy 0.6098191214470284   precision 0.4598726257438656   recall 0.464454836038889
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deviation 3/5   iterations 80/2000   F1 0.45886331318188645   accuracy 0.5878552971576227   precision 0.45846056197842094   recall 0.4657790633775491
deviation 3/5   iterations 90/2000   F1 0.46531613038575514   accuracy 0.5878552971576227   precision 0.4667075533034392   recall 0.47283188055694864
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deviation 3/5   iterations 100/2000   F1 0.477088036035958   accuracy 0.6072351421188631   precision 0.47426071087885197   recall 0.48575290430253165
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deviation 3/5   iterations 110/2000   F1 0.48112481809368374   accuracy 0.6162790697674418   precision 0.4794246081559482   recall 0.48628075062477055
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deviation 3/5   iterations 120/2000   F1 0.4614847178397968   accuracy 0.5917312661498708   precision 0.461157416381297   recall 0.47211334221863027
deviation 3/5   iterations 130/2000   F1 0.4768378961549571   accuracy 0.6072351421188631   precision 0.48402023060621113   recall 0.47910737772325374
deviation 3/5   iterations 140/2000   F1 0.47500770264108166   accuracy 0.603359173126615   precision 0.4760285570329314   recall 0.493049087453441
deviation 3/5   iterations 150/2000   F1 0.4724362652550007   accuracy 0.5943152454780362   precision 0.4809828786132104   recall 0.47736516102776605
deviation 3/5   iterations 160/2000   F1 0.47290042716064046   accuracy 0.5813953488372093   precision 0.47884064933245263   recall 0.4894570516243295
deviation 3/5   iterations 170/2000   F1 0.47501102236844694   accuracy 0.6136950904392765   precision 0.4797588306778473   recall 0.47538380047548384
deviation 3/5   iterations 180/2000   F1 0.4794992238285028   accuracy 0.6059431524547804   precision 0.48488757006513056   recall 0.48512778537621787
deviation 3/5   iterations 190/2000   F1 0.4827171610848165   accuracy 0.6007751937984496   precision 0.48638751426700627   recall 0.4945963900181338
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deviation 3/5   iterations 200/2000   F1 0.4761383737292901   accuracy 0.6059431524547804   precision 0.48017852579300596   recall 0.4816013767865181
deviation 3/5   iterations 210/2000   F1 0.4859272907757001   accuracy 0.6072351421188631   precision 0.4872788205751579   recall 0.4988581434222035
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deviation 3/5   iterations 220/2000   F1 0.4905753184014054   accuracy 0.6149870801033591   precision 0.49296864234532184   recall 0.4987608708181286
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deviation 3/5   iterations 230/2000   F1 0.49969171861443656   accuracy 0.6317829457364341   precision 0.4976605478747132   recall 0.5077019980604507
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deviation 3/5   iterations 240/2000   F1 0.49978063396844674   accuracy 0.6149870801033591   precision 0.5034722856360149   recall 0.5120018734711743
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deviation 3/5   iterations 250/2000   F1 0.49202547785600864   accuracy 0.6020671834625323   precision 0.49633402112987596   recall 0.5127177883595723
deviation 3/5   iterations 260/2000   F1 0.49512250955132453   accuracy 0.6201550387596899   precision 0.5059972712122671   recall 0.5010076507178128
deviation 3/5   iterations 270/2000   F1 0.5000396207549345   accuracy 0.6098191214470284   precision 0.5049923623624984   recall 0.515350174406131
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deviation 3/5   iterations 280/2000   F1 0.5023467899131461   accuracy 0.6214470284237726   precision 0.5022840076010322   recall 0.5153311134028039
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deviation 3/5   iterations 290/2000   F1 0.4991248096100899   accuracy 0.6111111111111112   precision 0.5020324320673151   recall 0.5151106616266915
deviation 3/5   iterations 300/2000   F1 0.49985642800512325   accuracy 0.6266149870801033   precision 0.49964967966385404   recall 0.5101856672896541
deviation 3/5   iterations 310/2000   F1 0.5046636432350717   accuracy 0.6214470284237726   precision 0.5072814016342706   recall 0.5171961403476842
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deviation 3/5   iterations 320/2000   F1 0.5068601315314055   accuracy 0.6124031007751938   precision 0.5147297006036636   recall 0.5239247565049056
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deviation 3/5   iterations 330/2000   F1 0.498200754295242   accuracy 0.6098191214470284   precision 0.5026842223256937   recall 0.5144176609336908
deviation 3/5   iterations 340/2000   F1 0.5102803068746034   accuracy 0.6266149870801033   precision 0.5183017914906879   recall 0.5229014470703811
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deviation 3/5   iterations 350/2000   F1 0.5175301369115801   accuracy 0.6434108527131783   precision 0.5153155376369662   recall 0.5347580470022207
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deviation 3/5   iterations 360/2000   F1 0.5167059391373569   accuracy 0.6253229974160207   precision 0.5246886392946574   recall 0.5335844220855459
deviation 3/5   iterations 370/2000   F1 0.5082196862787646   accuracy 0.6253229974160207   precision 0.5093125183230724   recall 0.5260564325393381
deviation 3/5   iterations 380/2000   F1 0.5178895334505607   accuracy 0.6472868217054264   precision 0.5172004379278391   recall 0.5258004822064919
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deviation 3/5   iterations 390/2000   F1 0.508561852690732   accuracy 0.6214470284237726   precision 0.510257377813925   recall 0.52504570746615
deviation 3/5   iterations 400/2000   F1 0.523244566439411   accuracy 0.6498708010335917   precision 0.5213841646296008   recall 0.5333067872994527
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deviation 3/5   iterations 410/2000   F1 0.5075316418390233   accuracy 0.6175710594315246   precision 0.5105336519315014   recall 0.5272898639159139
deviation 3/5   iterations 420/2000   F1 0.5167952472293112   accuracy 0.624031007751938   precision 0.520274422656009   recall 0.5362141846821843
deviation 3/5   iterations 430/2000   F1 0.5228208536178834   accuracy 0.6369509043927648   precision 0.5265386815976372   recall 0.537888519610985
deviation 3/5   iterations 440/2000   F1 0.5260994345602695   accuracy 0.6602067183462532   precision 0.5227596521533219   recall 0.5360532524261378
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deviation 3/5   iterations 450/2000   F1 0.5099628600533445   accuracy 0.6007751937984496   precision 0.5240246735560362   recall 0.5379815701003445
deviation 3/5   iterations 460/2000   F1 0.5153129369191546   accuracy 0.6382428940568475   precision 0.5144120877489833   recall 0.5303925443520853
deviation 3/5   iterations 470/2000   F1 0.5258287210373098   accuracy 0.6304909560723514   precision 0.5266304331618579   recall 0.5491901369104729
deviation 3/5   iterations 480/2000   F1 0.5196298803969183   accuracy 0.6434108527131783   precision 0.5218154045243829   recall 0.5290450338953828
deviation 3/5   iterations 490/2000   F1 0.5272486067079892   accuracy 0.6266149870801033   precision 0.5281070764260224   recall 0.5532993203051171
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deviation 3/5   iterations 500/2000   F1 0.5143716570648807   accuracy 0.6330749354005168   precision 0.5176723705032397   recall 0.5261628052353239
deviation 3/5   iterations 510/2000   F1 0.5191256929000813   accuracy 0.6291989664082688   precision 0.5232414985252706   recall 0.5363922923369273
deviation 3/5   iterations 520/2000   F1 0.5184641814607763   accuracy 0.624031007751938   precision 0.5320729682535138   recall 0.5391474886328784
deviation 3/5   iterations 530/2000   F1 0.5195000031297341   accuracy 0.6382428940568475   precision 0.521070880213446   recall 0.5323933348303395
deviation 3/5   iterations 540/2000   F1 0.5297495286091398   accuracy 0.6408268733850129   precision 0.5286000825092908   recall 0.5486138387475191
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deviation 3/5   iterations 550/2000   F1 0.5276360787964275   accuracy 0.6447028423772609   precision 0.5282043710554394   recall 0.5419786420023023
deviation 3/5   iterations 560/2000   F1 0.5258339462237988   accuracy 0.6395348837209303   precision 0.5260077950612619   recall 0.541800534347559
deviation 3/5   iterations 570/2000   F1 0.5252031376252352   accuracy 0.6317829457364341   precision 0.5268646122435959   recall 0.5455599790747075
deviation 3/5   iterations 580/2000   F1 0.5229454447573559   accuracy 0.6382428940568475   precision 0.5280501089324618   recall 0.5368522568924793
deviation 3/5   iterations 590/2000   F1 0.5307388074404135   accuracy 0.648578811369509   precision 0.5275755789680493   recall 0.5490417890157627
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deviation 3/5   iterations 600/2000   F1 0.5268875172389685   accuracy 0.6330749354005168   precision 0.5356198614967375   recall 0.5473891385402091
deviation 3/5   iterations 610/2000   F1 0.5280233077295183   accuracy 0.627906976744186   precision 0.5333061999728667   recall 0.5532634528257384
deviation 3/5   iterations 620/2000   F1 0.5314095485485314   accuracy 0.6524547803617571   precision 0.5299939198855508   recall 0.544339500982113
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deviation 3/5   iterations 630/2000   F1 0.5295224415407902   accuracy 0.6447028423772609   precision 0.5311213498934508   recall 0.5454371688253151
deviation 3/5   iterations 640/2000   F1 0.5334844847482925   accuracy 0.6511627906976745   precision 0.5321637651476361   recall 0.5496989222293848
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deviation 3/5   iterations 650/2000   F1 0.5359388280410259   accuracy 0.6369509043927648   precision 0.5363785602889272   recall 0.5623018526721354
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deviation 3/5   iterations 660/2000   F1 0.5335733149371283   accuracy 0.6447028423772609   precision 0.5350419021887954   recall 0.5516253542989613
deviation 3/5   iterations 670/2000   F1 0.5436353808076849   accuracy 0.6666666666666666   precision 0.5386960600375233   recall 0.5587437987177725
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deviation 3/5   iterations 680/2000   F1 0.5289051184573573   accuracy 0.6188630490956072   precision 0.5409657719735239   recall 0.560856700688713
deviation 3/5   iterations 690/2000   F1 0.5260805858565841   accuracy 0.6291989664082688   precision 0.5289313781866974   recall 0.5494296496899124
deviation 3/5   iterations 700/2000   F1 0.5237219356403869   accuracy 0.6266149870801033   precision 0.5302547389675935   recall 0.5455855167200252
deviation 3/5   iterations 710/2000   F1 0.5252799788977499   accuracy 0.6162790697674418   precision 0.5332920271218143   recall 0.5567410406520782
deviation 3/5   iterations 720/2000   F1 0.5273682106878859   accuracy 0.6369509043927648   precision 0.5284432506500755   recall 0.5473994683742702
deviation 3/5   iterations 730/2000   F1 0.5326632475443347   accuracy 0.6447028423772609   precision 0.531761424779145   recall 0.5506928408265211
deviation 3/5   iterations 740/2000   F1 0.5232382907143356   accuracy 0.6214470284237726   precision 0.5310108604845447   recall 0.5490016994216687
deviation 3/5   iterations 750/2000   F1 0.5262153913762946   accuracy 0.6498708010335917   precision 0.5239524482109228   recall 0.5385624593006587
deviation 3/5   iterations 760/2000   F1 0.5300574735998301   accuracy 0.6291989664082688   precision 0.5304410330082179   recall 0.5572792168083781
deviation 3/5   iterations 770/2000   F1 0.535485921719589   accuracy 0.6317829457364341   precision 0.5401044801937381   recall 0.5641245354956462
deviation 3/5   iterations 780/2000   F1 0.5333571252676673   accuracy 0.6421188630490956   precision 0.5315645777765782   recall 0.5561560113198585
deviation 3/5   iterations 790/2000   F1 0.5337685066931556   accuracy 0.6356589147286822   precision 0.5386842506189837   recall 0.5592864839286228
deviation 3/5   iterations 800/2000   F1 0.535793997926979   accuracy 0.6382428940568475   precision 0.5406457144679387   recall 0.5606046035479372
deviation 3/5   iterations 810/2000   F1 0.5257554537128012   accuracy 0.6175710594315246   precision 0.5297367229187987   recall 0.5573661595783919
deviation 3/5   iterations 820/2000   F1 0.5379742281013985   accuracy 0.6589147286821705   precision 0.5342987966750342   recall 0.553789044620702
deviation 3/5   iterations 830/2000   F1 0.5118118803743397   accuracy 0.5917312661498708   precision 0.5238472164822213   recall 0.5505589628977775
deviation 3/5   iterations 840/2000   F1 0.5366983475923006   accuracy 0.648578811369509   precision 0.5382263328134927   recall 0.5555015015561567
deviation 3/5   iterations 850/2000   F1 0.5278658383694768   accuracy 0.6369509043927648   precision 0.5269889909252538   recall 0.549925481724843
deviation 3/5   iterations 860/2000   F1 0.5267001852931216   accuracy 0.6317829457364341   precision 0.530141816647456   recall 0.5492221511977812
deviation 3/5   iterations 870/2000   F1 0.5223469582303017   accuracy 0.6253229974160207   precision 0.5275752944518395   recall 0.5457571477327777
deviation 3/5   iterations 880/2000   F1 0.5294013618502511   accuracy 0.627906976744186   precision 0.5315924219150027   recall 0.5567219796487511
deviation 3/5   iterations 890/2000   F1 0.5175872859497183   accuracy 0.6124031007751938   precision 0.5250989879934568   recall 0.5458799579821703
deviation 3/5   iterations 900/2000   F1 0.5352774450301925   accuracy 0.6447028423772609   precision 0.5337804576376005   recall 0.5560163945944142
deviation 3/5   iterations 910/2000   F1 0.5246636917668014   accuracy 0.6201550387596899   precision 0.5289362868103026   recall 0.5534286071965002
deviation 3/5   iterations 920/2000   F1 0.5351162905436947   accuracy 0.648578811369509   precision 0.5345147212834095   recall 0.5528397246722102
deviation 3/5   iterations 930/2000   F1 0.5228110474019046   accuracy 0.6162790697674418   precision 0.529893135544274   recall 0.5531467502956914
deviation 3/5   iterations 940/2000   F1 0.530832771012539   accuracy 0.6330749354005168   precision 0.5335304659498208   recall 0.5559675738310542
deviation 3/5   iterations 950/2000   F1 0.5271445699568245   accuracy 0.6395348837209303   precision 0.5266774345514503   recall 0.546191574643012
deviation 3/5   iterations 960/2000   F1 0.5286026566682872   accuracy 0.6317829457364341   precision 0.5309879783545576   recall 0.5526806780207939
deviation 3/5   iterations 970/2000   F1 0.5225356092854431   accuracy 0.6382428940568475   precision 0.5227646600263004   recall 0.539310388476365
deviation 3/5   iterations 980/2000   F1 0.5224347650032135   accuracy 0.6201550387596899   precision 0.5266399077598588   recall 0.5499021986068006
deviation 3/5   iterations 990/2000   F1 0.5379169288555077   accuracy 0.6408268733850129   precision 0.5383819632855761   recall 0.5628552366396918
deviation 3/5   iterations 1000/2000   F1 0.5146865055057065   accuracy 0.603359173126615   precision 0.5275112087736014   recall 0.5463525068990585
deviation 3/5   iterations 1010/2000   F1 0.5178639332485486   accuracy 0.6098191214470284   precision 0.5283466935640849   recall 0.5471557334801154
deviation 3/5   iterations 1020/2000   F1 0.5390211582680201   accuracy 0.6627906976744186   precision 0.5347916318790106   recall 0.5540709015215107
deviation 3/5   iterations 1030/2000   F1 0.5355090110294833   accuracy 0.6576227390180879   precision 0.5344062263283323   recall 0.5488407671656222
deviation 3/5   iterations 1040/2000   F1 0.5272166341359293   accuracy 0.6227390180878553   precision 0.5332938101466103   recall 0.5558150038216286
deviation 3/5   iterations 1050/2000   F1 0.521802161228962   accuracy 0.6343669250645995   precision 0.5262516457300112   recall 0.538299663403177
deviation 3/5   iterations 1060/2000   F1 0.5220954641050701   accuracy 0.6382428940568475   precision 0.5217230868885802   recall 0.5417685200602508
deviation 3/5   iterations 1070/2000   F1 0.5362697452249692   accuracy 0.6421188630490956   precision 0.536294318866933   recall 0.5590893152705526
deviation 3/5   iterations 1080/2000   F1 0.5298043087516772   accuracy 0.6291989664082688   precision 0.5324173271716465   recall 0.5565503486359987
deviation 3/5   iterations 1090/2000   F1 0.5328769865831611   accuracy 0.6421188630490956   precision 0.5332415239042073   recall 0.5537657615026595
deviation 3/5   iterations 1100/2000   F1 0.5263902289167616   accuracy 0.6304909560723514   precision 0.5280261696629831   recall 0.550122650382913
deviation 3/5   iterations 1110/2000   F1 0.5245549608168346   accuracy 0.6369509043927648   precision 0.5276941361252147   recall 0.542211678139751
deviation 3/5   iterations 1120/2000   F1 0.530723005075616   accuracy 0.6537467700258398   precision 0.5286821964320504   recall 0.5449646199084268
deviation 3/5   iterations 1130/2000   F1 0.5169880624426079   accuracy 0.6124031007751938   precision 0.5219164685686412   recall 0.5456763126821095
deviation 3/5   iterations 1140/2000   F1 0.5213292494691114   accuracy 0.6369509043927648   precision 0.5263098919815338   recall 0.5361592561994786
deviation 3/5   iterations 1150/2000   F1 0.5191587395207921   accuracy 0.6124031007751938   precision 0.525002461625986   recall 0.5492706030384961
deviation 3/5   iterations 1160/2000   F1 0.534962220485233   accuracy 0.6498708010335917   precision 0.5321186218919459   recall 0.5533969618318371
deviation 3/5   iterations 1170/2000   F1 0.5294898483195557   accuracy 0.6343669250645995   precision 0.5302584080695025   recall 0.5530662841676682
deviation 3/5   iterations 1180/2000   F1 0.5145592682193519   accuracy 0.6149870801033591   precision 0.5261247989075146   recall 0.5367546153657594
deviation 3/5   iterations 1190/2000   F1 0.5120330461581603   accuracy 0.6059431524547804   precision 0.5234201045475144   recall 0.538888545927467
deviation 3/5   iterations 1200/2000   F1 0.5244222866572587   accuracy 0.6227390180878553   precision 0.5307595203106805   recall 0.5504235682870487
deviation 3/5   iterations 1210/2000   F1 0.5320152746982015   accuracy 0.6421188630490956   precision 0.5302114567431396   recall 0.5535621162025989
deviation 3/5   iterations 1220/2000   F1 0.5135479474830514   accuracy 0.6149870801033591   precision 0.5271563828172434   recall 0.5350932337209399
deviation 3/5   iterations 1230/2000   F1 0.5199101690598024   accuracy 0.6111111111111112   precision 0.5305571621361095   recall 0.5505105110570626
deviation 3/5   iterations 1240/2000   F1 0.5228283758552134   accuracy 0.627906976744186   precision 0.5315130413536131   recall 0.5446171357682065
deviation 3/5   iterations 1250/2000   F1 0.5281189371412597   accuracy 0.624031007751938   precision 0.5311791305168788   recall 0.5572368726870088
deviation 3/5   iterations 1260/2000   F1 0.5041793505669877   accuracy 0.5981912144702842   precision 0.5235631584279533   recall 0.532408173718951
deviation 3/5   iterations 1270/2000   F1 0.5302200691990496   accuracy 0.6382428940568475   precision 0.5352062208066835   recall 0.5509578912512781
deviation 3/5   iterations 1280/2000   F1 0.4960867068300267   accuracy 0.5710594315245479   precision 0.5190464685906461   recall 0.5361481885201275
deviation 3/5   iterations 1290/2000   F1 0.5141943798914951   accuracy 0.624031007751938   precision 0.5202818458137607   recall 0.5318231443867313
deviation 3/5   iterations 1300/2000   F1 0.5170769605014972   accuracy 0.6227390180878553   precision 0.518958651987532   recall 0.5405732106903288
deviation 3/5   iterations 1310/2000   F1 0.5239790342526819   accuracy 0.6356589147286822   precision 0.5285564201972871   recall 0.5416544409801242
deviation 3/5   iterations 1320/2000   F1 0.5109964967482948   accuracy 0.6059431524547804   precision 0.5199728170150396   recall 0.5379560324550269
deviation 3/5   iterations 1330/2000   F1 0.5174135149261758   accuracy 0.6136950904392765   precision 0.5237523385658746   recall 0.5447079317302906
deviation 3/5   iterations 1340/2000   F1 0.5190238950013104   accuracy 0.6356589147286822   precision 0.5189723743087009   recall 0.5377886235569899
deviation 3/5   iterations 1350/2000   F1 0.509415832269584   accuracy 0.6020671834625323   precision 0.5241100998676756   recall 0.5360127939093986
deviation 3/5   iterations 1360/2000   F1 0.5198091853051293   accuracy 0.6266149870801033   precision 0.5223007980747832   recall 0.5418554628302646
deviation 3/5   iterations 1370/2000   F1 0.5146596603527777   accuracy 0.6188630490956072   precision 0.523788539316108   recall 0.5362397223275018
deviation 3/5   iterations 1380/2000   F1 0.5174253256513506   accuracy 0.6201550387596899   precision 0.5201805717430718   recall 0.5427136178940272
deviation 3/5   iterations 1390/2000   F1 0.5167661824217018   accuracy 0.6188630490956072   precision 0.5344161105184475   recall 0.5408344079230155
deviation 3/5   iterations 1400/2000   F1 0.5246196144054932   accuracy 0.6162790697674418   precision 0.5286705193208266   recall 0.5565373953520174
deviation 3/5   iterations 1410/2000   F1 0.5261798475104849   accuracy 0.6356589147286822   precision 0.5281049646265378   recall 0.5459097177422033
deviation 3/5   iterations 1420/2000   F1 0.5324593784949292   accuracy 0.6459948320413437   precision 0.5320066038111151   recall 0.5505212098137687
deviation 3/5   iterations 1430/2000   F1 0.5077274867766488   accuracy 0.5956072351421189   precision 0.5236700063812635   recall 0.5396684893904816
deviation 3/5   iterations 1440/2000   F1 0.5087770738826723   accuracy 0.6072351421188631   precision 0.5254174409674449   recall 0.5345974016860092
deviation 3/5   iterations 1450/2000   F1 0.49293141149228165   accuracy 0.5710594315245479   precision 0.5183563865984041   recall 0.5310282800522952
deviation 3/5   iterations 1460/2000   F1 0.5229657320109258   accuracy 0.6266149870801033   precision 0.5276972597406034   recall 0.5455176349533383
deviation 3/5   iterations 1470/2000   F1 0.5263391182226492   accuracy 0.627906976744186   precision 0.5292386620809277   recall 0.5513984258808581
deviation 3/5   iterations 1480/2000   F1 0.5185316898263755   accuracy 0.6227390180878553   precision 0.5268468459644929   recall 0.5400479878180103
deviation 3/5   iterations 1490/2000   F1 0.5195382091384522   accuracy 0.6175710594315246   precision 0.5232007292512356   recall 0.5466511702759189
deviation 3/5   iterations 1500/2000   F1 0.521098430527088   accuracy 0.624031007751938   precision 0.531144877576313   recall 0.5434027653949576
deviation 3/5   iterations 1510/2000   F1 0.5071837618165579   accuracy 0.5917312661498708   precision 0.5233898393756742   recall 0.5410480141344923
deviation 3/5   iterations 1520/2000   F1 0.5289699627857524   accuracy 0.6395348837209303   precision 0.5288878679983389   recall 0.5496501014660248
deviation 3/5   iterations 1530/2000   F1 0.5331959918488955   accuracy 0.6576227390180879   precision 0.5298540965207632   recall 0.5478403719264952
deviation 3/5   iterations 1540/2000   F1 0.49068306537017436   accuracy 0.5697674418604651   precision 0.5325997969676131   recall 0.535065728488182
deviation 3/5   iterations 1550/2000   F1 0.5069324066510185   accuracy 0.603359173126615   precision 0.5183288166214995   recall 0.5332472677793866
deviation 3/5   iterations 1560/2000   F1 0.5136625133846584   accuracy 0.6201550387596899   precision 0.517468274809755   recall 0.5349319325422485
deviation 3/5   iterations 1570/2000   F1 0.5149312771703664   accuracy 0.6214470284237726   precision 0.5174764572374927   recall 0.5364895649410023
deviation 3/5   iterations 1580/2000   F1 0.5163712356659228   accuracy 0.6149870801033591   precision 0.5237748479248321   recall 0.5420102873669655
deviation 3/5   iterations 1590/2000   F1 0.5098819630910286   accuracy 0.6059431524547804   precision 0.5298635966927475   recall 0.5365661778769552
deviation 3/5   iterations 1600/2000   F1 0.4941761334032841   accuracy 0.5775193798449613   precision 0.5157286562746991   recall 0.5283050980436523
deviation 3/5   iterations 1610/2000   F1 0.4971463289352802   accuracy 0.5904392764857881   precision 0.5210960591678743   recall 0.524791642737934
deviation 3/5   iterations 1620/2000   F1 0.5093131638620361   accuracy 0.6020671834625323   precision 0.5171193714109755   recall 0.5384709254932845
deviation 3/5   iterations 1630/2000   F1 0.5229706716090543   accuracy 0.6382428940568475   precision 0.5254465974222455   recall 0.5395140337764258
deviation 3/5   iterations 1640/2000   F1 0.5038721486905097   accuracy 0.6007751937984496   precision 0.5191957671957672   recall 0.526605594392179
deviation 3/5   iterations 1650/2000   F1 0.5084045898962141   accuracy 0.6098191214470284   precision 0.5172698412698412   recall 0.5304562040040568
deviation 3/5   iterations 1660/2000   F1 0.5131447526913332   accuracy 0.6188630490956072   precision 0.5208213685666153   recall 0.5326454319711152
deviation 3/5   iterations 1670/2000   F1 0.5146110130957725   accuracy 0.6136950904392765   precision 0.5242230767370432   recall 0.5415209319740256
deviation 3/5   iterations 1680/2000   F1 0.517802755540146   accuracy 0.6149870801033591   precision 0.5254981933448203   recall 0.544672064250912
deviation 3/5   iterations 1690/2000   F1 0.5239162698272696   accuracy 0.624031007751938   precision 0.5342478227709885   recall 0.551455977813484
deviation 3/5   iterations 1700/2000   F1 0.5092649545664972   accuracy 0.5904392764857881   precision 0.5269064111439753   recall 0.5492728575657714
deviation 3/5   iterations 1710/2000   F1 0.5036351228649637   accuracy 0.5981912144702842   precision 0.5271606962153411   recall 0.5360703458420245
deviation 3/5   iterations 1720/2000   F1 0.5075697410419107   accuracy 0.5917312661498708   precision 0.5258370287172854   recall 0.5429130410793725
deviation 3/5   iterations 1730/2000   F1 0.5139878524008599   accuracy 0.6124031007751938   precision 0.534175933345517   recall 0.5391665496362054
deviation 3/5   iterations 1740/2000   F1 0.49394378506945286   accuracy 0.5710594315245479   precision 0.5278558619739253   recall 0.5338258204696156
deviation 3/5   iterations 1750/2000   F1 0.5054107186646718   accuracy 0.5904392764857881   precision 0.5348710308139041   recall 0.5433561991588728
deviation 3/5   iterations 1760/2000   F1 0.5018892217150389   accuracy 0.5839793281653747   precision 0.5243024457671038   recall 0.5397554321604955
deviation 3/5   iterations 1770/2000   F1 0.5083252061273005   accuracy 0.603359173126615   precision 0.5212476200963696   recall 0.5340440177184528
deviation 3/5   iterations 1780/2000   F1 0.5326089634173049   accuracy 0.6343669250645995   precision 0.5373828959242566   recall 0.557660969763182
deviation 3/5   iterations 1790/2000   F1 0.505512445428777   accuracy 0.5930232558139535   precision 0.5217365194665436   recall 0.5364853428262869
deviation 3/5   iterations 1800/2000   F1 0.5104141575824469   accuracy 0.603359173126615   precision 0.5237796306945243   recall 0.5376383080748396
deviation 3/5   iterations 1810/2000   F1 0.5101923527911604   accuracy 0.6059431524547804   precision 0.5197689762276944   recall 0.5354300191044542
deviation 3/5   iterations 1820/2000   F1 0.5223741708647281   accuracy 0.6369509043927648   precision 0.5259373721504019   recall 0.5370917696719187
deviation 3/5   iterations 1830/2000   F1 0.5158697592661255   accuracy 0.6020671834625323   precision 0.5258018183175296   recall 0.5500505465015106
deviation 3/5   iterations 1840/2000   F1 0.5167394824408337   accuracy 0.6124031007751938   precision 0.5221341906965966   recall 0.5450153262764169
deviation 3/5   iterations 1850/2000   F1 0.5033161233287798   accuracy 0.5956072351421189   precision 0.5214452817830803   recall 0.5318868040387028
deviation 3/5   iterations 1860/2000   F1 0.500568548352414   accuracy 0.5852713178294574   precision 0.5207534030284514   recall 0.5351248790856031
deviation 3/5   iterations 1870/2000   F1 0.5011273838736062   accuracy 0.603359173126615   precision 0.5163999591988575   recall 0.5228716873103482
deviation 3/5   iterations 1880/2000   F1 0.4783638116312972   accuracy 0.562015503875969   precision 0.5118601302903736   recall 0.5185992351495723
deviation 3/5   iterations 1890/2000   F1 0.49250259371358734   accuracy 0.5736434108527132   precision 0.5258909688041115   recall 0.5335504402107974
deviation 3/5   iterations 1900/2000   F1 0.493548622137505   accuracy 0.5749354005167958   precision 0.5201117660026034   recall 0.5314459004864779
deviation 3/5   iterations 1910/2000   F1 0.5123725984734595   accuracy 0.599483204134367   precision 0.5262811005048998   recall 0.5452060182924964
deviation 3/5   iterations 1920/2000   F1 0.5227927324653793   accuracy 0.6317829457364341   precision 0.5265360937266034   recall 0.5422372157850687
deviation 3/5   iterations 1930/2000   F1 0.5153741270481261   accuracy 0.6007751937984496   precision 0.5306269289320137   recall 0.5512225727533901
deviation 3/5   iterations 1940/2000   F1 0.5249382158530866   accuracy 0.6059431524547804   precision 0.5382241798420399   recall 0.5663030647059987
deviation 3/5   iterations 1950/2000   F1 0.5190737744803889   accuracy 0.6149870801033591   precision 0.5257805217482637   recall 0.5464013276624183
deviation 3/5   iterations 1960/2000   F1 0.5089619726897375   accuracy 0.5943152454780362   precision 0.5250788721952295   recall 0.544299042465374
deviation 3/5   iterations 1970/2000   F1 0.5031882976384695   accuracy 0.5839793281653747   precision 0.5235946341613965   recall 0.5414168138053149
deviation 3/5   iterations 1980/2000   F1 0.51336447111095   accuracy 0.6098191214470284   precision 0.5220529974639995   recall 0.5401707980674028
deviation 3/5   iterations 1990/2000   F1 0.5111867989300761   accuracy 0.6227390180878553   precision 0.5131807663776974   recall 0.5293329985155372
deviation 3/5   iterations 2000/2000   F1 0.5049245145659734   accuracy 0.5878552971576227   precision 0.5311930325178998   recall 0.5427669477119377

deviation 4/5   iterations 10/2000   F1 0.34663204504026135   accuracy 0.4418604651162791   precision 0.39905796509570096   recall 0.39304723464193475
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deviation 4/5   iterations 20/2000   F1 0.40513374860739587   accuracy 0.5852713178294574   precision 0.4014648361560091   recall 0.4144302370967461
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deviation 4/5   iterations 30/2000   F1 0.4306397351545925   accuracy 0.5981912144702842   precision 0.4306154179879876   recall 0.4371272600303713
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deviation 4/5   iterations 40/2000   F1 0.4171538500391023   accuracy 0.624031007751938   precision 0.4324199999046625   recall 0.4180633873050767
deviation 4/5   iterations 50/2000   F1 0.4477209601960101   accuracy 0.6111111111111112   precision 0.4550531114230895   recall 0.44639746627206706
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deviation 4/5   iterations 60/2000   F1 0.44541923684780826   accuracy 0.6227390180878553   precision 0.44628546744571573   recall 0.44776825984681184
deviation 4/5   iterations 70/2000   F1 0.45801461300033947   accuracy 0.6072351421188631   precision 0.4702039164448377   recall 0.46015336196337026
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deviation 4/5   iterations 80/2000   F1 0.45814849597313523   accuracy 0.6098191214470284   precision 0.4582460409970605   recall 0.4585381776319905
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deviation 4/5   iterations 90/2000   F1 0.42813049936702163   accuracy 0.5930232558139535   precision 0.48131380984185107   recall 0.45760021230268483
deviation 4/5   iterations 100/2000   F1 0.4742007880835897   accuracy 0.6227390180878553   precision 0.4725300553316017   recall 0.47670839673678894
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deviation 4/5   iterations 110/2000   F1 0.4832480589947428   accuracy 0.6356589147286822   precision 0.48880221898104476   recall 0.48218066732203724
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deviation 4/5   iterations 120/2000   F1 0.4955127715256942   accuracy 0.6550387596899225   precision 0.4963614456394014   recall 0.4990854407629517
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deviation 4/5   iterations 130/2000   F1 0.49332804648289735   accuracy 0.6304909560723514   precision 0.5052656547830607   recall 0.49797322097097324
deviation 4/5   iterations 140/2000   F1 0.4935158820318379   accuracy 0.6511627906976745   precision 0.4942895886451768   recall 0.4928869254552444
deviation 4/5   iterations 150/2000   F1 0.5051854610229288   accuracy 0.6434108527131783   precision 0.5031805753035109   recall 0.5097516093020648
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deviation 4/5   iterations 160/2000   F1 0.49432048687290453   accuracy 0.6266149870801033   precision 0.49844031255113724   recall 0.5010141273598036
deviation 4/5   iterations 170/2000   F1 0.4973897633434657   accuracy 0.6589147286821705   precision 0.5000431577054486   recall 0.49531566620174217
deviation 4/5   iterations 180/2000   F1 0.5027571411698876   accuracy 0.6124031007751938   precision 0.5123735402740959   recall 0.5188048480370733
deviation 4/5   iterations 190/2000   F1 0.48946157748978303   accuracy 0.6472868217054264   precision 0.49517192450699626   recall 0.4875530418532903
deviation 4/5   iterations 200/2000   F1 0.503313414319635   accuracy 0.6343669250645995   precision 0.5040930492926335   recall 0.510224158218953
deviation 4/5   iterations 210/2000   F1 0.5170577013501237   accuracy 0.6640826873385013   precision 0.5147584184657806   recall 0.520635975090015
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deviation 4/5   iterations 220/2000   F1 0.5095299142820128   accuracy 0.6434108527131783   precision 0.5178820259486293   recall 0.5153466901367055
deviation 4/5   iterations 230/2000   F1 0.5139606539457618   accuracy 0.648578811369509   precision 0.519475476700316   recall 0.5189154428477746
deviation 4/5   iterations 240/2000   F1 0.5306075210062492   accuracy 0.661498708010336   precision 0.5268143532374924   recall 0.5378145301249524
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deviation 4/5   iterations 250/2000   F1 0.5081307568628435   accuracy 0.6511627906976745   precision 0.5163600991205148   recall 0.5098579819980507
deviation 4/5   iterations 260/2000   F1 0.5260838013682734   accuracy 0.6627906976744186   precision 0.5226197267828891   recall 0.5314547136385537
deviation 4/5   iterations 270/2000   F1 0.5029135879609449   accuracy 0.6498708010335917   precision 0.512581959950381   recall 0.5039093093038438
deviation 4/5   iterations 280/2000   F1 0.5130255072264492   accuracy 0.6563307493540051   precision 0.5141067119548889   recall 0.514155602881499
deviation 4/5   iterations 290/2000   F1 0.5126346899665771   accuracy 0.6408268733850129   precision 0.5152308985609748   recall 0.5198773471576027
deviation 4/5   iterations 300/2000   F1 0.5235724678636254   accuracy 0.6576227390180879   precision 0.5240467570829056   recall 0.5280217244608586
deviation 4/5   iterations 310/2000   F1 0.5107711697349003   accuracy 0.6511627906976745   precision 0.5191307749447285   recall 0.5133165088210635
deviation 4/5   iterations 320/2000   F1 0.5190691295482334   accuracy 0.6537467700258398   precision 0.5212758805502405   recall 0.5233488272645967
deviation 4/5   iterations 330/2000   F1 0.5131552573542607   accuracy 0.6511627906976745   precision 0.515588670311309   recall 0.5166392721107024
deviation 4/5   iterations 340/2000   F1 0.5155874439029214   accuracy 0.6640826873385013   precision 0.5175272391114122   recall 0.5156518301555567
deviation 4/5   iterations 350/2000   F1 0.5213663342648078   accuracy 0.6472868217054264   precision 0.5250168750262881   recall 0.5294626543295654
deviation 4/5   iterations 360/2000   F1 0.5131492060205312   accuracy 0.6679586563307494   precision 0.5200797365597576   recall 0.510813778588533
deviation 4/5   iterations 370/2000   F1 0.5210318716540908   accuracy 0.6459948320413437   precision 0.5187948742715477   recall 0.5320924169262038
deviation 4/5   iterations 380/2000   F1 0.514045330507748   accuracy 0.6537467700258398   precision 0.5197338116533162   recall 0.5172964053243244
deviation 4/5   iterations 390/2000   F1 0.5264967839199016   accuracy 0.6640826873385013   precision 0.527061277556327   recall 0.5305542144534218
deviation 4/5   iterations 400/2000   F1 0.5091531032895763   accuracy 0.6511627906976745   precision 0.5149653281728753   recall 0.5115193636428701
deviation 4/5   iterations 410/2000   F1 0.5350262940221099   accuracy 0.6782945736434108   precision 0.5340404127471206   recall 0.5363121951315492
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deviation 4/5   iterations 420/2000   F1 0.5192102691264608   accuracy 0.6524547803617571   precision 0.5249170367493307   recall 0.5244529717497894
deviation 4/5   iterations 430/2000   F1 0.5142393666899039   accuracy 0.6550387596899225   precision 0.5199301075322853   recall 0.5161922608391317
deviation 4/5   iterations 440/2000   F1 0.5286352357320099   accuracy 0.661498708010336   precision 0.5316709539541306   recall 0.5345596486020004
deviation 4/5   iterations 450/2000   F1 0.5298342459397304   accuracy 0.6640826873385013   precision 0.5327967171717172   recall 0.5350131365155617
deviation 4/5   iterations 460/2000   F1 0.5217056530214425   accuracy 0.6589147286821705   precision 0.5263326001239848   recall 0.5252561983308465
deviation 4/5   iterations 470/2000   F1 0.5205609553616034   accuracy 0.661498708010336   precision 0.5252427247979576   recall 0.5222511594213949
deviation 4/5   iterations 480/2000   F1 0.5202350791927338   accuracy 0.6472868217054264   precision 0.5218405229479258   recall 0.5285980226238123
deviation 4/5   iterations 490/2000   F1 0.5316987945807267   accuracy 0.6757105943152455   precision 0.5297715297715299   recall 0.5339936802731077
deviation 4/5   iterations 500/2000   F1 0.520851933653146   accuracy 0.6550387596899225   precision 0.5243339015209164   recall 0.5258389731357909
deviation 4/5   iterations 510/2000   F1 0.5441055791146719   accuracy 0.6782945736434108   precision 0.5419007988794858   recall 0.5486206843121547
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deviation 4/5   iterations 520/2000   F1 0.5310999012256711   accuracy 0.6640826873385013   precision 0.5321584157416241   recall 0.5367423999270681
deviation 4/5   iterations 530/2000   F1 0.5214520523347576   accuracy 0.6408268733850129   precision 0.5259682682303982   recall 0.5340508632830886
deviation 4/5   iterations 540/2000   F1 0.5347065861223834   accuracy 0.6847545219638242   precision 0.5360052912327545   recall 0.5335890131229064
deviation 4/5   iterations 550/2000   F1 0.5161406141582353   accuracy 0.6369509043927648   precision 0.5210671555728617   recall 0.5275129391419466
deviation 4/5   iterations 560/2000   F1 0.5426550474743247   accuracy 0.686046511627907   precision 0.5426915030195913   recall 0.5431319761735
deviation 4/5   iterations 570/2000   F1 0.5205366927152935   accuracy 0.6524547803617571   precision 0.5235849997439401   recall 0.527046866867049
deviation 4/5   iterations 580/2000   F1 0.5467504715789827   accuracy 0.6821705426356589   precision 0.544902825221648   recall 0.550699686391157
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deviation 4/5   iterations 590/2000   F1 0.5210946177886339   accuracy 0.648578811369509   precision 0.5264289765832202   recall 0.5293589050834999
deviation 4/5   iterations 600/2000   F1 0.544082308919315   accuracy 0.6770025839793282   precision 0.5416979994444783   recall 0.5487923153249074
deviation 4/5   iterations 610/2000   F1 0.5423560108818553   accuracy 0.6782945736434108   precision 0.5414350002855195   recall 0.5460267891948952
deviation 4/5   iterations 620/2000   F1 0.5367970480975348   accuracy 0.6692506459948321   precision 0.5341896030222021   recall 0.5429050477553967
deviation 4/5   iterations 630/2000   F1 0.527613633932975   accuracy 0.6744186046511628   precision 0.5325877825877826   recall 0.5257226395283889
deviation 4/5   iterations 640/2000   F1 0.526304475356209   accuracy 0.6511627906976745   precision 0.5247991422125259   recall 0.5375261965821531
deviation 4/5   iterations 650/2000   F1 0.526194294585646   accuracy 0.6718346253229974   precision 0.5339569609134827   recall 0.5262016650872678
deviation 4/5   iterations 660/2000   F1 0.5357281539499419   accuracy 0.665374677002584   precision 0.5311432018749093   recall 0.54587807237754
deviation 4/5   iterations 670/2000   F1 0.5199358660173318   accuracy 0.6511627906976745   precision 0.5257359453412277   recall 0.5264896297074223
deviation 4/5   iterations 680/2000   F1 0.530660847958537   accuracy 0.6602067183462532   precision 0.5294976490967582   recall 0.5381219246710788
deviation 4/5   iterations 690/2000   F1 0.5471651812874976   accuracy 0.686046511627907   precision 0.546189419163892   recall 0.548387648174706
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deviation 4/5   iterations 700/2000   F1 0.5144681452753201   accuracy 0.6408268733850129   precision 0.5218585521004876   recall 0.5235395192806763
deviation 4/5   iterations 710/2000   F1 0.5353981557059365   accuracy 0.6705426356589147   precision 0.5355798718856044   recall 0.5402752851587586
deviation 4/5   iterations 720/2000   F1 0.5435024434082321   accuracy 0.6808785529715762   precision 0.5402975173361542   recall 0.5481416587532759
deviation 4/5   iterations 730/2000   F1 0.5155403157039776   accuracy 0.6459948320413437   precision 0.5235544816940165   recall 0.5255826538802997
deviation 4/5   iterations 740/2000   F1 0.5407371165279936   accuracy 0.6795865633074936   precision 0.5376774706200251   recall 0.5456515128820819
deviation 4/5   iterations 750/2000   F1 0.5167866033611742   accuracy 0.6511627906976745   precision 0.5217795571356474   recall 0.5238957345901626
deviation 4/5   iterations 760/2000   F1 0.5294543508711186   accuracy 0.6627906976744186   precision 0.5323336326712683   recall 0.5361172810007543
deviation 4/5   iterations 770/2000   F1 0.5563708036580842   accuracy 0.689922480620155   precision 0.5535372839165061   recall 0.5601133625503671
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deviation 4/5   iterations 780/2000   F1 0.5324826100576303   accuracy 0.6718346253229974   precision 0.5338145761638061   recall 0.5357126138505531
deviation 4/5   iterations 790/2000   F1 0.5490523635107576   accuracy 0.6782945736434108   precision 0.5443787024379129   recall 0.5564702514306205
deviation 4/5   iterations 800/2000   F1 0.5392309828731245   accuracy 0.6731266149870802   precision 0.5378500836727605   recall 0.5450519316010857
deviation 4/5   iterations 810/2000   F1 0.5409751984479408   accuracy 0.6757105943152455   precision 0.5399716586946539   recall 0.5464379329870871
deviation 4/5   iterations 820/2000   F1 0.5420772853288569   accuracy 0.6731266149870802   precision 0.5386337736337736   recall 0.5493750901298518
deviation 4/5   iterations 830/2000   F1 0.5387087971620504   accuracy 0.6782945736434108   precision 0.5424182253061391   recall 0.541839394199503
deviation 4/5   iterations 840/2000   F1 0.5309344885073962   accuracy 0.6550387596899225   precision 0.5308313078155654   recall 0.5415381073727223
deviation 4/5   iterations 850/2000   F1 0.5384396459005543   accuracy 0.6770025839793282   precision 0.5367322892246905   recall 0.5418073799121949
deviation 4/5   iterations 860/2000   F1 0.5307210282718909   accuracy 0.6563307493540051   precision 0.5274148240886438   recall 0.541162831059909
deviation 4/5   iterations 870/2000   F1 0.5409526202003593   accuracy 0.6782945736434108   precision 0.5413255874037264   recall 0.5435007758443225
deviation 4/5   iterations 880/2000   F1 0.5363695644490961   accuracy 0.6757105943152455   precision 0.5341004025214552   recall 0.540181865746754
deviation 4/5   iterations 890/2000   F1 0.5354115994820275   accuracy 0.6627906976744186   precision 0.531674146577416   recall 0.5463570979364188
deviation 4/5   iterations 900/2000   F1 0.5523840695784105   accuracy 0.6795865633074936   precision 0.551490429452561   recall 0.5591640426018754
deviation 4/5   iterations 910/2000   F1 0.5465681860846169   accuracy 0.6757105943152455   precision 0.5426724873300216   recall 0.5534228683997997
deviation 4/5   iterations 920/2000   F1 0.5428127256925318   accuracy 0.6679586563307494   precision 0.5441508780579425   recall 0.5520624046591159
deviation 4/5   iterations 930/2000   F1 0.5430035459375947   accuracy 0.6770025839793282   precision 0.5404183788796039   recall 0.547995565385841
deviation 4/5   iterations 940/2000   F1 0.5401558476749198   accuracy 0.6731266149870802   precision 0.5366021364249517   recall 0.5467133132459052
deviation 4/5   iterations 950/2000   F1 0.5303316331685126   accuracy 0.6627906976744186   precision 0.5286976181713023   recall 0.5369140309398206
deviation 4/5   iterations 960/2000   F1 0.5413315967921547   accuracy 0.6757105943152455   precision 0.539254118325192   recall 0.5464379329870871
deviation 4/5   iterations 970/2000   F1 0.5388608209588847   accuracy 0.6666666666666666   precision 0.5357699726321518   recall 0.5477072318430416
deviation 4/5   iterations 980/2000   F1 0.5361847095272989   accuracy 0.6718346253229974   precision 0.5335036056486757   recall 0.5416971540241385
deviation 4/5   iterations 990/2000   F1 0.5323248932189013   accuracy 0.6692506459948321   precision 0.5303120570072865   recall 0.5377172575208776
deviation 4/5   iterations 1000/2000   F1 0.5204280279218398   accuracy 0.6434108527131783   precision 0.5193204124199706   recall 0.5325035607183957
deviation 4/5   iterations 1010/2000   F1 0.5397603994726298   accuracy 0.6821705426356589   precision 0.5417220244566653   recall 0.5394594742163652
deviation 4/5   iterations 1020/2000   F1 0.5314906293607059   accuracy 0.6498708010335917   precision 0.5282728272827283   recall 0.5472766581248777
deviation 4/5   iterations 1030/2000   F1 0.5289450080320418   accuracy 0.6718346253229974   precision 0.5312252283804687   recall 0.5304569418493469
deviation 4/5   iterations 1040/2000   F1 0.5305267683509056   accuracy 0.661498708010336   precision 0.5268181545492375   recall 0.5386791618307057
deviation 4/5   iterations 1050/2000   F1 0.537502340970098   accuracy 0.6795865633074936   precision 0.5379598278764348   recall 0.538005591063677
deviation 4/5   iterations 1060/2000   F1 0.5232264380338844   accuracy 0.6511627906976745   precision 0.5198157044851545   recall 0.5330672745200132
deviation 4/5   iterations 1070/2000   F1 0.5362536834234948   accuracy 0.6795865633074936   precision 0.5349541930937279   recall 0.5378698275303031
deviation 4/5   iterations 1080/2000   F1 0.5347135422259449   accuracy 0.6640826873385013   precision 0.535118709197138   recall 0.5419980719282742
deviation 4/5   iterations 1090/2000   F1 0.5358608189687817   accuracy 0.665374677002584   precision 0.5361105953200149   recall 0.5435557043270282
deviation 4/5   iterations 1100/2000   F1 0.5436017269977697   accuracy 0.686046511627907   precision 0.5422304149664734   recall 0.5473193711688921
deviation 4/5   iterations 1110/2000   F1 0.5353155575041555   accuracy 0.6602067183462532   precision 0.5378918474943837   recall 0.5461751370896053
deviation 4/5   iterations 1120/2000   F1 0.546774561102357   accuracy 0.6834625322997416   precision 0.5439649105579286   recall 0.5505280553784043
deviation 4/5   iterations 1130/2000   F1 0.5351263183651923   accuracy 0.6640826873385013   precision 0.5317127369037195   recall 0.54445620351216
deviation 4/5   iterations 1140/2000   F1 0.5421566837507703   accuracy 0.6847545219638242   precision 0.544065878803118   recall 0.5417101073081199
deviation 4/5   iterations 1150/2000   F1 0.5329468386092189   accuracy 0.6589147286821705   precision 0.5288045159294773   recall 0.5442780958574168
deviation 4/5   iterations 1160/2000   F1 0.5421039634522781   accuracy 0.6770025839793282   precision 0.5388759388759389   recall 0.5479276836191541
deviation 4/5   iterations 1170/2000   F1 0.5336599988135909   accuracy 0.6589147286821705   precision 0.529479998229386   recall 0.5451427275631701
deviation 4/5   iterations 1180/2000   F1 0.5261281439684878   accuracy 0.6537467700258398   precision 0.5273452824820688   recall 0.5347926847394492
deviation 4/5   iterations 1190/2000   F1 0.54245425646857   accuracy 0.6795865633074936   precision 0.5390285285285286   recall 0.5491100397050946
deviation 4/5   iterations 1200/2000   F1 0.5344335660933961   accuracy 0.665374677002584   precision 0.5303957229625446   recall 0.5433520590269674
deviation 4/5   iterations 1210/2000   F1 0.5346353904017169   accuracy 0.6692506459948321   precision 0.533591958775591   recall 0.540379034404824
deviation 4/5   iterations 1220/2000   F1 0.5371592908720357   accuracy 0.6731266149870802   precision 0.534326266750944   recall 0.5431869046562054
deviation 4/5   iterations 1230/2000   F1 0.5352501241417986   accuracy 0.6718346253229974   precision 0.532292043564394   recall 0.5407646405516985
deviation 4/5   iterations 1240/2000   F1 0.5322025476287374   accuracy 0.6589147286821705   precision 0.5290439565096315   recall 0.5417520825068441
deviation 4/5   iterations 1250/2000   F1 0.5187092051288666   accuracy 0.6666666666666666   precision 0.5159922161520699   recall 0.5229544899484565
deviation 4/5   iterations 1260/2000   F1 0.5337225483984677   accuracy 0.6782945736434108   precision 0.5341949526560744   recall 0.5346508134867297
deviation 4/5   iterations 1270/2000   F1 0.5228477106670919   accuracy 0.6550387596899225   precision 0.5203991276532988   recall 0.5308231180702493
deviation 4/5   iterations 1280/2000   F1 0.5308960784864399   accuracy 0.6563307493540051   precision 0.5282355135116807   recall 0.541230712826596
deviation 4/5   iterations 1290/2000   F1 0.5237861451017806   accuracy 0.6589147286821705   precision 0.5219942435031383   recall 0.5303082250319918
deviation 4/5   iterations 1300/2000   F1 0.5315043095091546   accuracy 0.6718346253229974   precision 0.5301188633113509   recall 0.534644336844739
deviation 4/5   iterations 1310/2000   F1 0.5216652788759747   accuracy 0.6537467700258398   precision 0.5190249521822291   recall 0.5309947490830017
deviation 4/5   iterations 1320/2000   F1 0.5223412616565986   accuracy 0.6589147286821705   precision 0.5216202386864719   recall 0.5269175799756659
deviation 4/5   iterations 1330/2000   F1 0.5224399317145753   accuracy 0.6692506459948321   precision 0.5193692170209351   recall 0.5277990181574708
deviation 4/5   iterations 1340/2000   F1 0.5251978689593823   accuracy 0.661498708010336   precision 0.5227413127413127   recall 0.5316942264179931
deviation 4/5   iterations 1350/2000   F1 0.5298097251585624   accuracy 0.6705426356589147   precision 0.5277279968140184   recall 0.5330867044459852
deviation 4/5   iterations 1360/2000   F1 0.5265534048418554   accuracy 0.6576227390180879   precision 0.5243040102853187   recall 0.5356676462792634
deviation 4/5   iterations 1370/2000   F1 0.5124359887412087   accuracy 0.6692506459948321   precision 0.5106900835780438   recall 0.5146937790377989
deviation 4/5   iterations 1380/2000   F1 0.5165434243275954   accuracy 0.6576227390180879   precision 0.5141714439457751   recall 0.523291275331971
deviation 4/5   iterations 1390/2000   F1 0.5296818885572456   accuracy 0.6627906976744186   precision 0.5279770918422559   recall 0.5359136357006936
deviation 4/5   iterations 1400/2000   F1 0.5301956772604502   accuracy 0.6705426356589147   precision 0.5278569977964863   recall 0.5339513361517384
deviation 4/5   iterations 1410/2000   F1 0.5209351637193536   accuracy 0.6537467700258398   precision 0.5184197313316842   recall 0.530858985549628
deviation 4/5   iterations 1420/2000   F1 0.5269843434884695   accuracy 0.6550387596899225   precision 0.536248014457212   recall 0.5356214489658238
deviation 4/5   iterations 1430/2000   F1 0.5240593913321981   accuracy 0.6563307493540051   precision 0.5222068585085872   recall 0.534838882052889
deviation 4/5   iterations 1440/2000   F1 0.5242175114399027   accuracy 0.665374677002584   precision 0.5212532977010312   recall 0.5293143064348553
deviation 4/5   iterations 1450/2000   F1 0.5336173233936812   accuracy 0.6718346253229974   precision 0.5308576624433696   recall 0.5381028636677518
deviation 4/5   iterations 1460/2000   F1 0.5137225028369056   accuracy 0.6602067183462532   precision 0.5106563174744992   recall 0.5194216047167662
deviation 4/5   iterations 1470/2000   F1 0.5259548538216197   accuracy 0.665374677002584   precision 0.5221781305114638   recall 0.5344342149026876
deviation 4/5   iterations 1480/2000   F1 0.5173282468983057   accuracy 0.6537467700258398   precision 0.5317159206810483   recall 0.5245528678037846
deviation 4/5   iterations 1490/2000   F1 0.5160882705055564   accuracy 0.6266149870801033   precision 0.5190497094552929   recall 0.5356672773566183
deviation 4/5   iterations 1500/2000   F1 0.5230875118613891   accuracy 0.6679586563307494   precision 0.5218472487611908   recall 0.5255125175863374
deviation 4/5   iterations 1510/2000   F1 0.5246238072338555   accuracy 0.6498708010335917   precision 0.5228085411748397   recall 0.535103932477646
deviation 4/5   iterations 1520/2000   F1 0.5213426599816702   accuracy 0.648578811369509   precision 0.5207171365665513   recall 0.5300877732558793
deviation 4/5   iterations 1530/2000   F1 0.5198258780947058   accuracy 0.6692506459948321   precision 0.5200983748217894   recall 0.520949846278132
deviation 4/5   iterations 1540/2000   F1 0.5097633979853206   accuracy 0.6382428940568475   precision 0.5106470366056265   recall 0.5191523321772937
deviation 4/5   iterations 1550/2000   F1 0.5243726719917197   accuracy 0.6589147286821705   precision 0.5263431277032313   recall 0.5296472386262993
deviation 4/5   iterations 1560/2000   F1 0.5249858128427108   accuracy 0.6498708010335917   precision 0.5219347269066855   recall 0.5367653141224654
deviation 4/5   iterations 1570/2000   F1 0.5277704391258733   accuracy 0.665374677002584   precision 0.5246553531878447   recall 0.5337053467303082
deviation 4/5   iterations 1580/2000   F1 0.5262649485278746   accuracy 0.6576227390180879   precision 0.5225172125077931   recall 0.5364643962183298
deviation 4/5   iterations 1590/2000   F1 0.5124011280627757   accuracy 0.6447028423772609   precision 0.5233658636309838   recall 0.5195660994194059
deviation 4/5   iterations 1600/2000   F1 0.5120927986143494   accuracy 0.6227390180878553   precision 0.5194989014383696   recall 0.5286720121098448
deviation 4/5   iterations 1610/2000   F1 0.5156389824070585   accuracy 0.6447028423772609   precision 0.5177361603665561   recall 0.522820980942358
deviation 4/5   iterations 1620/2000   F1 0.5302769875138297   accuracy 0.6563307493540051   precision 0.5272794849110566   recall 0.5402981993541558
deviation 4/5   iterations 1630/2000   F1 0.5225835252213832   accuracy 0.6498708010335917   precision 0.5223193109023936   recall 0.5316454056546331
deviation 4/5   iterations 1640/2000   F1 0.5233870583988793   accuracy 0.6576227390180879   precision 0.5199298056440914   recall 0.5304119742780573
deviation 4/5   iterations 1650/2000   F1 0.5138432121532149   accuracy 0.6408268733850129   precision 0.5166133054722284   recall 0.5225391240415492
deviation 4/5   iterations 1660/2000   F1 0.522473340801757   accuracy 0.6472868217054264   precision 0.5204440063322504   recall 0.5328532993858914
deviation 4/5   iterations 1670/2000   F1 0.5307470726353504   accuracy 0.6640826873385013   precision 0.527199989925429   recall 0.5374033863327605
deviation 4/5   iterations 1680/2000   F1 0.5220942040714635   accuracy 0.661498708010336   precision 0.5184093390442597   recall 0.5288966860006727
deviation 4/5   iterations 1690/2000   F1 0.5283084596391636   accuracy 0.6563307493540051   precision 0.525215759123805   recall 0.5376364224702094
deviation 4/5   iterations 1700/2000   F1 0.5239685218995852   accuracy 0.6511627906976745   precision 0.5249491249491249   recall 0.5324062881143208
deviation 4/5   iterations 1710/2000   F1 0.5358322935662412   accuracy 0.665374677002584   precision 0.5312488086274435   recall 0.5442166907327205
deviation 4/5   iterations 1720/2000   F1 0.5431516386914795   accuracy 0.6770025839793282   precision 0.538909007756799   recall 0.5495211834972866
deviation 4/5   iterations 1730/2000   F1 0.5192347836057336   accuracy 0.6408268733850129   precision 0.5224852012918806   recall 0.5295240594542617
deviation 4/5   iterations 1740/2000   F1 0.511117041480638   accuracy 0.6330749354005168   precision 0.5261091556439617   recall 0.5221111737733056
deviation 4/5   iterations 1750/2000   F1 0.5278222251870675   accuracy 0.6511627906976745   precision 0.5249993206706339   recall 0.5392554599936594
deviation 4/5   iterations 1760/2000   F1 0.5377800137821795   accuracy 0.6937984496124031   precision 0.5395042194092827   recall 0.5399656360853569
deviation 4/5   iterations 1770/2000   F1 0.5419793646041887   accuracy 0.6705426356589147   precision 0.5374943951215138   recall 0.5487858386829166
deviation 4/5   iterations 1780/2000   F1 0.517823571727328   accuracy 0.648578811369509   precision 0.5197864336852324   recall 0.5240353513156069
deviation 4/5   iterations 1790/2000   F1 0.5223960425523614   accuracy 0.6343669250645995   precision 0.523133526920637   recall 0.538299663403177
deviation 4/5   iterations 1800/2000   F1 0.528107667238102   accuracy 0.6731266149870802   precision 0.5302353566108173   recall 0.5284202838917141
deviation 4/5   iterations 1810/2000   F1 0.5170449594316312   accuracy 0.6343669250645995   precision 0.5153985522068106   recall 0.5311789644570906
deviation 4/5   iterations 1820/2000   F1 0.526266669276338   accuracy 0.6770025839793282   precision 0.526618613092043   recall 0.5259724821418895
deviation 4/5   iterations 1830/2000   F1 0.5258245364215156   accuracy 0.6550387596899225   precision 0.5243866539683925   recall 0.5335527767208827
deviation 4/5   iterations 1840/2000   F1 0.5134655881390419   accuracy 0.6356589147286822   precision 0.5193049252437518   recall 0.5242260433316863
deviation 4/5   iterations 1850/2000   F1 0.5072438493062007   accuracy 0.6369509043927648   precision 0.5108414841890321   recall 0.5143398182555877
deviation 4/5   iterations 1860/2000   F1 0.5194273933658429   accuracy 0.6498708010335917   precision 0.5166942086501113   recall 0.5288478652373128
deviation 4/5   iterations 1870/2000   F1 0.5188367436967661   accuracy 0.6576227390180879   precision 0.5195734950636911   recall 0.5226981706929655
deviation 4/5   iterations 1880/2000   F1 0.5200367319253321   accuracy 0.6459948320413437   precision 0.5183514633514633   recall 0.5304989170480713
deviation 4/5   iterations 1890/2000   F1 0.524859106414618   accuracy 0.6679586563307494   precision 0.5212882418752541   recall 0.5305645442874828
deviation 4/5   iterations 1900/2000   F1 0.5196839771552415   accuracy 0.6550387596899225   precision 0.5184945581572856   recall 0.5255674460690432
deviation 4/5   iterations 1910/2000   F1 0.517087493740484   accuracy 0.6524547803617571   precision 0.5140874682047044   recall 0.5241814446830418
deviation 4/5   iterations 1920/2000   F1 0.5156234357088417   accuracy 0.6537467700258398   precision 0.5128158447580599   recall 0.5213480367863427
deviation 4/5   iterations 1930/2000   F1 0.530748321241345   accuracy 0.6731266149870802   precision 0.5283718501109805   recall 0.5343369422986127
deviation 4/5   iterations 1940/2000   F1 0.5074448123620309   accuracy 0.6395348837209303   precision 0.5063575644747175   recall 0.5154542925748414
deviation 4/5   iterations 1950/2000   F1 0.5189446412180917   accuracy 0.6537467700258398   precision 0.5171522459406289   recall 0.5257390770817957
deviation 4/5   iterations 1960/2000   F1 0.5082951801467765   accuracy 0.6304909560723514   precision 0.524594585308871   recall 0.5189959089757977
deviation 4/5   iterations 1970/2000   F1 0.5013627381565479   accuracy 0.6111111111111112   precision 0.5135031558734159   recall 0.5163825839325661
deviation 4/5   iterations 1980/2000   F1 0.501035214876571   accuracy 0.6201550387596899   precision 0.5232024631921715   recall 0.5144522986709194
deviation 4/5   iterations 1990/2000   F1 0.4945953172403641   accuracy 0.6085271317829457   precision 0.508491637561405   recall 0.5080795289005392
deviation 4/5   iterations 2000/2000   F1 0.5061371678698734   accuracy 0.6395348837209303   precision 0.5107248075998075   recall 0.5104022658736961

deviation 5/5   iterations 10/2000   F1 0.1792402553864433   accuracy 0.20671834625322996   precision 0.36343529764582394   recall 0.3496754997405654
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deviation 5/5   iterations 20/2000   F1 0.16656570118309813   accuracy 0.18992248062015504   precision 0.3849173977250384   recall 0.35211034820640874
deviation 5/5   iterations 30/2000   F1 0.41519660773652456   accuracy 0.5142118863049095   precision 0.44370709681427245   recall 0.44523203963639313
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deviation 5/5   iterations 40/2000   F1 0.38955577402943825   accuracy 0.4496124031007752   precision 0.4538936838003392   recall 0.45712196558050106
deviation 5/5   iterations 50/2000   F1 0.38504212781064434   accuracy 0.45348837209302323   precision 0.47014483096068044   recall 0.4691192070229098
deviation 5/5   iterations 60/2000   F1 0.4526953324186241   accuracy 0.5387596899224806   precision 0.47942587431497746   recall 0.4894935749661882
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deviation 5/5   iterations 70/2000   F1 0.44801629761160605   accuracy 0.5090439276485789   precision 0.483547627895454   recall 0.49796789208832265
deviation 5/5   iterations 10/2000   F1 0.3571528526752408   accuracy 0.4573643410852713   precision 0.39826839826839827   recall 0.401363242957943
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deviation 5/5   iterations 20/2000   F1 0.4248755321543553   accuracy 0.5232558139534884   precision 0.4385534893295821   recall 0.4493541763150186
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deviation 5/5   iterations 30/2000   F1 0.4100019158567168   accuracy 0.562015503875969   precision 0.4153038456490353   recall 0.4314215843850293
deviation 5/5   iterations 40/2000   F1 0.44072489984465707   accuracy 0.6020671834625323   precision 0.4411108351936961   recall 0.4436651841715133
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deviation 5/5   iterations 50/2000   F1 0.4294502037119856   accuracy 0.5839793281653747   precision 0.43090741872935423   recall 0.4475936364614941
deviation 5/5   iterations 60/2000   F1 0.464510897307387   accuracy 0.6162790697674418   precision 0.4689245031090313   recall 0.46300357633612094
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deviation 5/5   iterations 70/2000   F1 0.48276292335115856   accuracy 0.6059431524547804   precision 0.48904327831157096   recall 0.5023525377245949
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deviation 5/5   iterations 80/2000   F1 0.48959318273844943   accuracy 0.6304909560723514   precision 0.4907065471103553   recall 0.5015496800661831
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deviation 5/5   iterations 90/2000   F1 0.49580208625362127   accuracy 0.6459948320413437   precision 0.5015891957027447   recall 0.5037453846752321
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deviation 5/5   iterations 100/2000   F1 0.5042942624784646   accuracy 0.6343669250645995   precision 0.5054952537979496   recall 0.5202603298545568
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deviation 5/5   iterations 110/2000   F1 0.48694750517775515   accuracy 0.6537467700258398   precision 0.4875554002669286   recall 0.4879489778342257
deviation 5/5   iterations 120/2000   F1 0.5220973344014589   accuracy 0.6459948320413437   precision 0.5196971873826998   recall 0.5371444436273491
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deviation 5/5   iterations 130/2000   F1 0.5150700013239963   accuracy 0.6627906976744186   precision 0.5169747202259517   recall 0.5232657376866533
deviation 5/5   iterations 140/2000   F1 0.5245937987841603   accuracy 0.6498708010335917   precision 0.5200383464272353   recall 0.5341714190052058
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deviation 5/5   iterations 150/2000   F1 0.5209399160690579   accuracy 0.6692506459948321   precision 0.5243204378264901   recall 0.5293246362689165
deviation 5/5   iterations 160/2000   F1 0.5274963678752242   accuracy 0.6563307493540051   precision 0.5230326986790038   recall 0.5367039089977692
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deviation 5/5   iterations 170/2000   F1 0.5323207823207824   accuracy 0.6459948320413437   precision 0.5277344289259835   recall 0.5487240646355753
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deviation 5/5   iterations 180/2000   F1 0.5139537296400042   accuracy 0.6679586563307494   precision 0.5212031162470278   recall 0.525037345219529
deviation 5/5   iterations 190/2000   F1 0.5474849376488721   accuracy 0.665374677002584   precision 0.5414732224898201   recall 0.5600515885030258
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deviation 5/5   iterations 200/2000   F1 0.5297297439103185   accuracy 0.6640826873385013   precision 0.5255285006133824   recall 0.538996886210893
deviation 5/5   iterations 210/2000   F1 0.536042736664114   accuracy 0.6666666666666666   precision 0.5316279236704652   recall 0.5465031913038538
deviation 5/5   iterations 220/2000   F1 0.5325881589893265   accuracy 0.665374677002584   precision 0.531845008408533   recall 0.5456744270774793
deviation 5/5   iterations 230/2000   F1 0.5442466635297208   accuracy 0.6679586563307494   precision 0.5386761243259451   recall 0.555181522648694
deviation 5/5   iterations 240/2000   F1 0.547766533939431   accuracy 0.6731266149870802   precision 0.5451900942249674   recall 0.562140920416089
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deviation 5/5   iterations 250/2000   F1 0.5313237190098726   accuracy 0.6563307493540051   precision 0.5277249023972485   recall 0.5403660811208427
deviation 5/5   iterations 260/2000   F1 0.5531771639984465   accuracy 0.6705426356589147   precision 0.5474985887835074   recall 0.567943499742861
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deviation 5/5   iterations 270/2000   F1 0.5464560909391728   accuracy 0.6640826873385013   precision 0.5406895621666346   recall 0.5602232195157784
deviation 5/5   iterations 280/2000   F1 0.5507788962979941   accuracy 0.6576227390180879   precision 0.5462100950879347   recall 0.5733219819934595
deviation 5/5   iterations 290/2000   F1 0.5307046296321766   accuracy 0.6679586563307494   precision 0.5271672362380327   recall 0.5359559798220629
deviation 5/5   iterations 300/2000   F1 0.5432669501635018   accuracy 0.6472868217054264   precision 0.540186776678426   recall 0.5670491082770747
deviation 5/5   iterations 310/2000   F1 0.525246781300771   accuracy 0.6692506459948321   precision 0.5239324782053417   recall 0.5337835583310563
deviation 5/5   iterations 320/2000   F1 0.5470457969696746   accuracy 0.6666666666666666   precision 0.5415961933633403   recall 0.5598120757235864
deviation 5/5   iterations 330/2000   F1 0.5505062950384259   accuracy 0.6627906976744186   precision 0.5450559502178147   recall 0.5673797859412434
deviation 5/5   iterations 340/2000   F1 0.5457545052130192   accuracy 0.6705426356589147   precision 0.541309571485783   recall 0.5533126425117434
deviation 5/5   iterations 350/2000   F1 0.5375269577633439   accuracy 0.6459948320413437   precision 0.5391313180409069   recall 0.5624902901609397
deviation 5/5   iterations 360/2000   F1 0.55492397328407   accuracy 0.6705426356589147   precision 0.5484759278309148   recall 0.5690117767486749
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deviation 5/5   iterations 370/2000   F1 0.5515192307171034   accuracy 0.6627906976744186   precision 0.5455676078172207   recall 0.5692448128861237
deviation 5/5   iterations 380/2000   F1 0.5533997833804097   accuracy 0.6705426356589147   precision 0.5489712637538725   recall 0.5688081314486141
deviation 5/5   iterations 390/2000   F1 0.5605463934699317   accuracy 0.6744186046511628   precision 0.5537238322536652   recall 0.5762785690621962
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deviation 5/5   iterations 400/2000   F1 0.5624792271946742   accuracy 0.686046511627907   precision 0.5576801891927943   recall 0.5702070861185967
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deviation 5/5   iterations 410/2000   F1 0.5660814714142125   accuracy 0.6782945736434108   precision 0.5596773898404334   recall 0.5818160979642111
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deviation 5/5   iterations 420/2000   F1 0.5498943331404499   accuracy 0.6718346253229974   precision 0.5442339019122854   recall 0.5609226968507697
deviation 5/5   iterations 430/2000   F1 0.5575693703064978   accuracy 0.6744186046511628   precision 0.5538760370036359   recall 0.5717517652333693
deviation 5/5   iterations 440/2000   F1 0.5415714621883275   accuracy 0.6563307493540051   precision 0.5383457334395152   recall 0.5587948740084077
deviation 5/5   iterations 450/2000   F1 0.556298098190751   accuracy 0.6770025839793282   precision 0.5529726247647934   recall 0.5687467263239179
deviation 5/5   iterations 460/2000   F1 0.5443492660187909   accuracy 0.6550387596899225   precision 0.5403074902720618   recall 0.5640864134889925
deviation 5/5   iterations 470/2000   F1 0.5624103287432449   accuracy 0.6937984496124031   precision 0.5611264180949317   recall 0.5655830096856951
deviation 5/5   iterations 480/2000   F1 0.546119278003596   accuracy 0.6498708010335917   precision 0.5443518318058261   recall 0.5708253594802749
deviation 5/5   iterations 490/2000   F1 0.566690884872703   accuracy 0.6886304909560723   precision 0.5648398515065182   recall 0.5758483642666773
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deviation 5/5   iterations 500/2000   F1 0.5548355405698938   accuracy 0.6744186046511628   precision 0.5507447006423796   recall 0.5690899883494228
deviation 5/5   iterations 510/2000   F1 0.5569947415965486   accuracy 0.6718346253229974   precision 0.551583450077677   recall 0.5747568041428209
deviation 5/5   iterations 520/2000   F1 0.5549640141632186   accuracy 0.6795865633074936   precision 0.55362235281338   recall 0.5674030690592858
deviation 5/5   iterations 530/2000   F1 0.5507219628521591   accuracy 0.6692506459948321   precision 0.5452793114024997   recall 0.5639956175269082
deviation 5/5   iterations 540/2000   F1 0.5534526652003393   accuracy 0.6731266149870802   precision 0.550665431348138   recall 0.5709230010069949
deviation 5/5   iterations 550/2000   F1 0.5529711606212646   accuracy 0.665374677002584   precision 0.5474508387551866   recall 0.5714275642111913
deviation 5/5   iterations 560/2000   F1 0.5502284863046398   accuracy 0.6821705426356589   precision 0.5519103102227877   recall 0.5633976349107072
deviation 5/5   iterations 570/2000   F1 0.554474041340545   accuracy 0.6589147286821705   precision 0.5498689058956917   recall 0.5785417865152871
deviation 5/5   iterations 580/2000   F1 0.5578848754995922   accuracy 0.6731266149870802   precision 0.5521661342474767   recall 0.5754498048358216
deviation 5/5   iterations 590/2000   F1 0.5558424939536242   accuracy 0.6718346253229974   precision 0.5514498728784443   recall 0.5746889223761341
deviation 5/5   iterations 600/2000   F1 0.5505512337993755   accuracy 0.6731266149870802   precision 0.5451925620470625   recall 0.563209197421903
deviation 5/5   iterations 610/2000   F1 0.554187401723225   accuracy 0.6731266149870802   precision 0.5506850497820941   recall 0.571855514479435
deviation 5/5   iterations 620/2000   F1 0.5616962293119513   accuracy 0.6808785529715762   precision 0.5593905900715418   recall 0.5802687953995181
deviation 5/5   iterations 630/2000   F1 0.566623390632508   accuracy 0.686046511627907   precision 0.5634702463529594   recall 0.5805147848209483
deviation 5/5   iterations 640/2000   F1 0.5492393152146179   accuracy 0.6589147286821705   precision 0.544378978996368   recall 0.5696918241576943
deviation 5/5   iterations 650/2000   F1 0.5611219857051227   accuracy 0.6705426356589147   precision 0.5574180579822688   recall 0.5836426339797923
deviation 5/5   iterations 660/2000   F1 0.5535887118909176   accuracy 0.6834625322997416   precision 0.5498525494672755   recall 0.561700385786509
deviation 5/5   iterations 670/2000   F1 0.5516855225260958   accuracy 0.6640826873385013   precision 0.547767855738477   recall 0.5723959451630102
deviation 5/5   iterations 680/2000   F1 0.5510386246978235   accuracy 0.6640826873385013   precision 0.5475685690193289   recall 0.5723280633963231
deviation 5/5   iterations 690/2000   F1 0.5663464055847802   accuracy 0.6821705426356589   precision 0.5626020464274233   recall 0.5845560864489056
deviation 5/5   iterations 700/2000   F1 0.5534476771639243   accuracy 0.6627906976744186   precision 0.5484667106296378   recall 0.5743647213539559
deviation 5/5   iterations 710/2000   F1 0.5631306722905483   accuracy 0.686046511627907   precision 0.560097149227584   recall 0.5752591128197421
deviation 5/5   iterations 720/2000   F1 0.5535924785630679   accuracy 0.6640826873385013   precision 0.5486308207427947   recall 0.5733963404021372
deviation 5/5   iterations 730/2000   F1 0.555958039943398   accuracy 0.665374677002584   precision 0.5521665434715627   recall 0.5791413677962832
deviation 5/5   iterations 740/2000   F1 0.5629442485466756   accuracy 0.6886304909560723   precision 0.5584895601507824   recall 0.574051219088484
deviation 5/5   iterations 750/2000   F1 0.5710104331801992   accuracy 0.686046511627907   precision 0.565989575147991   recall 0.588432233706101
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deviation 5/5   iterations 760/2000   F1 0.5643373802558586   accuracy 0.6705426356589147   precision 0.5593116105554252   recall 0.5881015560419323
deviation 5/5   iterations 770/2000   F1 0.5532606282606283   accuracy 0.6731266149870802   precision 0.5472924610769638   recall 0.5650742243667832
deviation 5/5   iterations 780/2000   F1 0.5782682632507193   accuracy 0.6925064599483204   precision 0.5760133368461183   recall 0.59788177734469
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deviation 5/5   iterations 790/2000   F1 0.5659353831622739   accuracy 0.6834625322997416   precision 0.5605942562464302   recall 0.5826551920246467
deviation 5/5   iterations 800/2000   F1 0.5742773732538996   accuracy 0.6912144702842378   precision 0.5687939326674066   recall 0.5868810779493377
deviation 5/5   iterations 810/2000   F1 0.5675486401292853   accuracy 0.6705426356589147   precision 0.5630010659659387   recall 0.5941539779822046
deviation 5/5   iterations 820/2000   F1 0.5520752265751449   accuracy 0.6666666666666666   precision 0.5461532227819522   recall 0.5670006564363598
deviation 5/5   iterations 830/2000   F1 0.5704405954925483   accuracy 0.6808785529715762   precision 0.5660306608949843   recall 0.5917805346410575
deviation 5/5   iterations 840/2000   F1 0.554391426056784   accuracy 0.6744186046511628   precision 0.5483723637903205   recall 0.5674964884712903
deviation 5/5   iterations 850/2000   F1 0.5653389291862697   accuracy 0.6808785529715762   precision 0.5629540294174441   recall 0.5837952039892179
deviation 5/5   iterations 860/2000   F1 0.5562194900319898   accuracy 0.6692506459948321   precision 0.5504603441965037   recall 0.5743711979959466
deviation 5/5   iterations 870/2000   F1 0.5497210942947377   accuracy 0.6666666666666666   precision 0.5439739924013943   recall 0.5642709977857262
deviation 5/5   iterations 880/2000   F1 0.5636735169869244   accuracy 0.6731266149870802   precision 0.5612027484732504   recall 0.5875546487163664
deviation 5/5   iterations 890/2000   F1 0.5419051673771321   accuracy 0.665374677002584   precision 0.537051282051282   recall 0.5547280347351328
deviation 5/5   iterations 900/2000   F1 0.5520361349720804   accuracy 0.6602067183462532   precision 0.5487062071785708   recall 0.5755726150852142
deviation 5/5   iterations 910/2000   F1 0.5468223402310031   accuracy 0.6679586563307494   precision 0.5419684381135167   recall 0.5621664580614066
deviation 5/5   iterations 920/2000   F1 0.5531528736669524   accuracy 0.6757105943152455   precision 0.5500720827120955   recall 0.5679179620975433
deviation 5/5   iterations 930/2000   F1 0.5553685487213242   accuracy 0.6808785529715762   precision 0.5512477016023115   recall 0.5672314380465333
deviation 5/5   iterations 940/2000   F1 0.5308967320871683   accuracy 0.6291989664082688   precision 0.533092734300424   recall 0.5598731119256376
deviation 5/5   iterations 950/2000   F1 0.5570169654542716   accuracy 0.6782945736434108   precision 0.5533023355896608   recall 0.5719657403674913
deviation 5/5   iterations 960/2000   F1 0.5521966818761533   accuracy 0.6602067183462532   precision 0.5475989541682972   recall 0.5738433516737077
deviation 5/5   iterations 970/2000   F1 0.570970935830781   accuracy 0.6847545219638242   precision 0.5686420112337954   recall 0.5868067195406601
deviation 5/5   iterations 980/2000   F1 0.5573438814249018   accuracy 0.6718346253229974   precision 0.5527290543907241   recall 0.5755535540818872
deviation 5/5   iterations 990/2000   F1 0.54270481204107   accuracy 0.6563307493540051   precision 0.538548309387532   recall 0.5620497555313597
deviation 5/5   iterations 1000/2000   F1 0.5480312136835254   accuracy 0.6640826873385013   precision 0.5443222981726213   recall 0.5670045096284301
deviation 5/5   iterations 1010/2000   F1 0.5534904638177153   accuracy 0.6602067183462532   precision 0.5485260616306356   recall 0.575708378618588
deviation 5/5   iterations 1020/2000   F1 0.56558378239332   accuracy 0.6821705426356589   precision 0.5625305188208034   recall 0.581962191331646
deviation 5/5   iterations 1030/2000   F1 0.5493783472389299   accuracy 0.6524547803617571   precision 0.5476669680390188   recall 0.5758735329893498
deviation 5/5   iterations 1040/2000   F1 0.5417607084273751   accuracy 0.6627906976744186   precision 0.537477521518236   recall 0.5568005601721442
deviation 5/5   iterations 1050/2000   F1 0.5669114666495709   accuracy 0.6963824289405685   precision 0.5730845343469754   recall 0.5788702096521806
deviation 5/5   iterations 1060/2000   F1 0.5596631268779005   accuracy 0.6679586563307494   precision 0.5540167250463809   recall 0.5807310144823453
deviation 5/5   iterations 1070/2000   F1 0.5650623234979063   accuracy 0.6873385012919897   precision 0.5610325283819261   recall 0.5786138903966894
deviation 5/5   iterations 1080/2000   F1 0.5623801362057923   accuracy 0.6731266149870802   precision 0.5619288521866359   recall 0.5848928718324199
deviation 5/5   iterations 1090/2000   F1 0.5596544844300414   accuracy 0.6692506459948321   precision 0.5548258109661618   recall 0.5821528833477254
deviation 5/5   iterations 1100/2000   F1 0.5652807871103258   accuracy 0.6770025839793282   precision 0.5610463610463611   recall 0.5862430057390426
deviation 5/5   iterations 1110/2000   F1 0.557794915561488   accuracy 0.6666666666666666   precision 0.5564676988044196   recall 0.5806311184283501
deviation 5/5   iterations 1120/2000   F1 0.5552514863961181   accuracy 0.6731266149870802   precision 0.5495155762428284   recall 0.5711266463070556
deviation 5/5   iterations 1130/2000   F1 0.5726167525180421   accuracy 0.6886304909560723   precision 0.5689771594796859   recall 0.5906828667978555
deviation 5/5   iterations 1140/2000   F1 0.5619627969074891   accuracy 0.6757105943152455   precision 0.5556298276886512   recall 0.5794975831057695
deviation 5/5   iterations 1150/2000   F1 0.559417517998476   accuracy 0.6692506459948321   precision 0.5534214912162405   recall 0.5796268699971527
deviation 5/5   iterations 1160/2000   F1 0.5672344625906106   accuracy 0.6744186046511628   precision 0.5604107873424063   recall 0.5885870582428018
deviation 5/5   iterations 1170/2000   F1 0.5442754023462003   accuracy 0.6524547803617571   precision 0.5432668212021586   recall 0.5694817022156428
deviation 5/5   iterations 1180/2000   F1 0.5516844414980991   accuracy 0.6782945736434108   precision 0.5465177325157464   recall 0.5649808049547786
deviation 5/5   iterations 1190/2000   F1 0.5412162347263572   accuracy 0.648578811369509   precision 0.5416476152578281   recall 0.5674027001366407
deviation 5/5   iterations 1200/2000   F1 0.5584205457820258   accuracy 0.6847545219638242   precision 0.5537498042129277   recall 0.5727689669485482
deviation 5/5   iterations 1210/2000   F1 0.5656318775631642   accuracy 0.6886304909560723   precision 0.5618615910019504   recall 0.5818329044402627
deviation 5/5   iterations 1220/2000   F1 0.548330110799368   accuracy 0.6550387596899225   precision 0.5459243697478992   recall 0.5735973622522778
deviation 5/5   iterations 1230/2000   F1 0.552924231027161   accuracy 0.6666666666666666   precision 0.5481775777828409   recall 0.5728494330765713
deviation 5/5   iterations 1240/2000   F1 0.5612435333645989   accuracy 0.6795865633074936   precision 0.557441724941725   recall 0.5787790447674512
deviation 5/5   iterations 1250/2000   F1 0.565600023665701   accuracy 0.6770025839793282   precision 0.5606801598355927   recall 0.5862430057390426
deviation 5/5   iterations 1260/2000   F1 0.5501349928008834   accuracy 0.6589147286821705   precision 0.5472473806024012   recall 0.5738792191530865
deviation 5/5   iterations 1270/2000   F1 0.5620940903959771   accuracy 0.6757105943152455   precision 0.5560541514382636   recall 0.581226846517276
deviation 5/5   iterations 1280/2000   F1 0.5599067719255372   accuracy 0.6679586563307494   precision 0.5549485512483736   recall 0.5831212642995441
deviation 5/5   iterations 1290/2000   F1 0.5468620548923578   accuracy 0.6550387596899225   precision 0.5437943802292248   recall 0.5701388354292649
deviation 5/5   iterations 1300/2000   F1 0.5631166806102942   accuracy 0.6757105943152455   precision 0.5570697709708538   recall 0.5820914782230291
deviation 5/5   iterations 1310/2000   F1 0.5390766760337214   accuracy 0.6343669250645995   precision 0.5400993107279893   recall 0.5697658136437268
deviation 5/5   iterations 1320/2000   F1 0.5560352223402253   accuracy 0.6666666666666666   precision 0.5516948960696159   recall 0.5781051050777776
deviation 5/5   iterations 1330/2000   F1 0.5599949220137829   accuracy 0.6847545219638242   precision 0.5546820405310972   recall 0.5720400987761688
deviation 5/5   iterations 1340/2000   F1 0.5547968892916628   accuracy 0.6731266149870802   precision 0.56073441686714   recall 0.575110396002387
deviation 5/5   iterations 1350/2000   F1 0.5595787664996119   accuracy 0.6640826873385013   precision 0.5565428000817251   recall 0.5854333025159951
deviation 5/5   iterations 1360/2000   F1 0.5477534206341973   accuracy 0.6524547803617571   precision 0.5448462996422745   recall 0.5723471243996502
deviation 5/5   iterations 1370/2000   F1 0.5665454563316225   accuracy 0.6795865633074936   precision 0.5606771603113607   recall 0.5867643754192908
deviation 5/5   iterations 1380/2000   F1 0.5608020037818621   accuracy 0.6589147286821705   precision 0.5560153828152993   recall 0.5891888940510732
deviation 5/5   iterations 1390/2000   F1 0.5782124927566116   accuracy 0.6873385012919897   precision 0.5776762937597342   recall 0.5969069197508805
deviation 5/5   iterations 1400/2000   F1 0.558630678353607   accuracy 0.6705426356589147   precision 0.5528886788972245   recall 0.5784548437452731
deviation 5/5   iterations 1410/2000   F1 0.56978382942841   accuracy 0.6821705426356589   precision 0.5646688207849512   recall 0.5890150085110455
deviation 5/5   iterations 1420/2000   F1 0.5597931261346021   accuracy 0.6731266149870802   precision 0.558773921888676   recall 0.5805018315369669
deviation 5/5   iterations 1430/2000   F1 0.5690918969264506   accuracy 0.6937984496124031   precision 0.5652828628025167   recall 0.5802817486834996
deviation 5/5   iterations 1440/2000   F1 0.5422102260380133   accuracy 0.6395348837209303   precision 0.5430857655606175   recall 0.573198802821422
deviation 5/5   iterations 1450/2000   F1 0.571297513347185   accuracy 0.686046511627907   precision 0.5641100088598714   recall 0.5860419838889022
deviation 5/5   iterations 1460/2000   F1 0.5400653908508438   accuracy 0.6537467700258398   precision 0.5407366100699198   recall 0.5639865174349973
deviation 5/5   iterations 1470/2000   F1 0.5595793732068228   accuracy 0.6666666666666666   precision 0.5547322197073544   recall 0.5817672772008512
deviation 5/5   iterations 1480/2000   F1 0.5503401545547785   accuracy 0.6576227390180879   precision 0.5481460326526727   recall 0.5740508501658389
deviation 5/5   iterations 1490/2000   F1 0.5690634394266216   accuracy 0.6808785529715762   precision 0.5634258551905611   recall 0.5857281127007852
deviation 5/5   iterations 1500/2000   F1 0.5603287519436839   accuracy 0.6718346253229974   precision 0.5573435929546412   recall 0.5824706077279128
deviation 5/5   iterations 1510/2000   F1 0.5720472207768034   accuracy 0.6795865633074936   precision 0.5659356725146198   recall 0.592020047420497
deviation 5/5   iterations 1520/2000   F1 0.5632221927562909   accuracy 0.6782945736434108   precision 0.5617123869537807   recall 0.5806799391917101
deviation 5/5   iterations 1530/2000   F1 0.5696177668404463   accuracy 0.6808785529715762   precision 0.571905671905672   recall 0.5898476259294904
deviation 5/5   iterations 1540/2000   F1 0.556198206113368   accuracy 0.6692506459948321   precision 0.5523997104541771   recall 0.5776260795188987
deviation 5/5   iterations 1550/2000   F1 0.5513806828137419   accuracy 0.6563307493540051   precision 0.5478361948478963   recall 0.5761553898901587
deviation 5/5   iterations 1560/2000   F1 0.549326453776107   accuracy 0.6550387596899225   precision 0.5452234574360785   recall 0.5720717441408321
deviation 5/5   iterations 1570/2000   F1 0.5419238151483833   accuracy 0.6395348837209303   precision 0.5432636106847046   recall 0.5731309210547351
deviation 5/5   iterations 1580/2000   F1 0.5483187273085205   accuracy 0.6808785529715762   precision 0.5434730185079868   recall 0.5585172392223143
deviation 5/5   iterations 1590/2000   F1 0.5483473319802508   accuracy 0.6511627906976745   precision 0.5564041650247716   recall 0.576502505107734
deviation 5/5   iterations 1600/2000   F1 0.5543256022191149   accuracy 0.6589147286821705   precision 0.5485368436251624   recall 0.5767446413370937
deviation 5/5   iterations 1610/2000   F1 0.5457371440782909   accuracy 0.6511627906976745   precision 0.5453599137756675   recall 0.5722472283456549
deviation 5/5   iterations 1620/2000   F1 0.5539444720720138   accuracy 0.6744186046511628   precision 0.548979350194184   recall 0.5698867382884891
deviation 5/5   iterations 1630/2000   F1 0.5487659383751917   accuracy 0.6640826873385013   precision 0.543644510311177   recall 0.5662756414560508
deviation 5/5   iterations 1640/2000   F1 0.5483159167369694   accuracy 0.6369509043927648   precision 0.5498018599804358   recall 0.5851895676218403
deviation 5/5   iterations 1650/2000   F1 0.55196413146473   accuracy 0.6627906976744186   precision 0.5469620574720198   recall 0.5724996944090757
deviation 5/5   iterations 1660/2000   F1 0.5463665692438484   accuracy 0.661498708010336   precision 0.5469745222929937   recall 0.5689412715320676
deviation 5/5   iterations 1670/2000   F1 0.5560546215605423   accuracy 0.6692506459948321   precision 0.553888722983314   recall 0.5775581977522117
deviation 5/5   iterations 1680/2000   F1 0.5492508386787165   accuracy 0.6873385012919897   precision 0.5649960577004226   recall 0.5625074655596364
deviation 5/5   iterations 1690/2000   F1 0.5535816413134179   accuracy 0.6757105943152455   precision 0.5528997351324536   recall 0.5713086071538692
deviation 5/5   iterations 1700/2000   F1 0.5719433954157217   accuracy 0.6873385012919897   precision 0.5659992766675753   recall 0.5873959709875953
deviation 5/5   iterations 1710/2000   F1 0.5505673899568474   accuracy 0.6524547803617571   precision 0.5476243993106615   recall 0.57680604646179
deviation 5/5   iterations 1720/2000   F1 0.544354937151116   accuracy 0.6395348837209303   precision 0.5432604735883424   recall 0.5751317115329891
deviation 5/5   iterations 1730/2000   F1 0.5593047517007399   accuracy 0.6718346253229974   precision 0.5582518641626729   recall 0.5798088308439663
deviation 5/5   iterations 1740/2000   F1 0.5580092345457275   accuracy 0.6705426356589147   precision 0.5528075855689176   recall 0.5765898168003929
deviation 5/5   iterations 1750/2000   F1 0.5369529193058605   accuracy 0.6472868217054264   precision 0.5448860504121534   recall 0.5621150138481265
deviation 5/5   iterations 1760/2000   F1 0.5499884123731461   accuracy 0.6524547803617571   precision 0.5470647068095792   recall 0.5756698876892891
deviation 5/5   iterations 1770/2000   F1 0.5433320702136646   accuracy 0.6459948320413437   precision 0.5411622671017793   recall 0.5696788708737129
deviation 5/5   iterations 1780/2000   F1 0.5443284555819767   accuracy 0.6576227390180879   precision 0.5399802053078302   recall 0.5635395061634266
deviation 5/5   iterations 1790/2000   F1 0.5572447994261437   accuracy 0.6666666666666666   precision 0.5571143618080726   recall 0.5787660914834699
deviation 5/5   iterations 1800/2000   F1 0.5411519945108009   accuracy 0.6498708010335917   precision 0.5382931920188577   recall 0.5646371740066286
deviation 5/5   iterations 1810/2000   F1 0.5520956870873198   accuracy 0.6640826873385013   precision 0.547666970568296   recall 0.5722601816296362
deviation 5/5   iterations 1820/2000   F1 0.5553132069917287   accuracy 0.6666666666666666   precision 0.5588166762883157   recall 0.5769689463052766
deviation 5/5   iterations 1830/2000   F1 0.5456913710338368   accuracy 0.6679586563307494   precision 0.5462819973759498   recall 0.5636241944061653
deviation 5/5   iterations 1840/2000   F1 0.5537096749808068   accuracy 0.6679586563307494   precision 0.5527991308389502   recall 0.5750680518810177
deviation 5/5   iterations 1850/2000   F1 0.5436103895199423   accuracy 0.661498708010336   precision 0.5441725958741666   recall 0.5645502312366147
deviation 5/5   iterations 1860/2000   F1 0.5380788306994443   accuracy 0.6731266149870802   precision 0.5442026771424414   recall 0.555749089642382
deviation 5/5   iterations 1870/2000   F1 0.5457885748367771   accuracy 0.6576227390180879   precision 0.5443396610307433   recall 0.5669980329864395
deviation 5/5   iterations 1880/2000   F1 0.5477985832292529   accuracy 0.6602067183462532   precision 0.5464153752392261   recall 0.5683840343724409
deviation 5/5   iterations 1890/2000   F1 0.5512510989978617   accuracy 0.6576227390180879   precision 0.5470407790309105   recall 0.5741187319325258
deviation 5/5   iterations 1900/2000   F1 0.5414012345679012   accuracy 0.6537467700258398   precision 0.5382486385097351   recall 0.5631897674959309
deviation 5/5   iterations 1910/2000   F1 0.5374683865294917   accuracy 0.6382428940568475   precision 0.5363508112764667   recall 0.5646562350099557
deviation 5/5   iterations 1920/2000   F1 0.5309672002062852   accuracy 0.627906976744186   precision 0.5356532027066295   recall 0.5632996244613422
deviation 5/5   iterations 1930/2000   F1 0.5555816785342901   accuracy 0.6782945736434108   precision 0.5520647397857574   recall 0.5710332268950511
deviation 5/5   iterations 1940/2000   F1 0.528687344184862   accuracy 0.6291989664082688   precision 0.5387911289872074   recall 0.5586011896197629
deviation 5/5   iterations 1950/2000   F1 0.5448143187611488   accuracy 0.6679586563307494   precision 0.5402705658460134   recall 0.5585721677050199
deviation 5/5   iterations 1960/2000   F1 0.5594111661975933   accuracy 0.6576227390180879   precision 0.5544265378579928   recall 0.5864272211131315
deviation 5/5   iterations 1970/2000   F1 0.5566688731332441   accuracy 0.6705426356589147   precision 0.5508695414418346   recall 0.5749284351555733
deviation 5/5   iterations 1980/2000   F1 0.5476814381009051   accuracy 0.6550387596899225   precision 0.5437306445406811   recall 0.5709355853683311
deviation 5/5   iterations 1990/2000   F1 0.5471456422567332   accuracy 0.6705426356589147   precision 0.5478997080921175   recall 0.5641455640864135
deviation 5/5   iterations 2000/2000   F1 0.5340735569859966   accuracy 0.6511627906976745   precision 0.5433731071856299   recall 0.5597350938649887

0.11565365265014386
