deviation 1/5   iterations 10/2000   F1 0.1556717284872625   accuracy 0.1590909090909091   precision 0.49821570182394925   recall 0.4963942307692308

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deviation 1/5   iterations 20/2000   F1 0.5296991907161399   accuracy 0.6977272727272728   precision 0.578806502775575   recall 0.5403809523809524

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deviation 1/5   iterations 30/2000   F1 0.3507236458706473   accuracy 0.37272727272727274   precision 0.5568992862807296   recall 0.528115892336705

deviation 1/5   iterations 40/2000   F1 0.33409533485733633   accuracy 0.35   precision 0.5565027755749405   recall 0.5296875

deviation 1/5   iterations 50/2000   F1 0.34277391507728944   accuracy 0.3613636363636364   precision 0.5587827121332276   recall 0.5299767465372561

deviation 1/5   iterations 60/2000   F1 0.33549773531259297   accuracy 0.35113636363636364   precision 0.5613104678826328   recall 0.532297860952095

deviation 1/5   iterations 70/2000   F1 0.4066582385166456   accuracy 0.45454545454545453   precision 0.5699841395717684   recall 0.5303323236879981

deviation 1/5   iterations 80/2000   F1 0.3104496543337998   accuracy 0.32045454545454544   precision 0.5480769230769231   recall 0.5275764036958067

deviation 1/5   iterations 90/2000   F1 0.44393955685435227   accuracy 0.5125   precision 0.5861915146708961   recall 0.5360655567711061

deviation 1/5   iterations 100/2000   F1 0.4247558601366077   accuracy 0.47613636363636364   precision 0.5947164948453608   recall 0.5406010484886148

deviation 1/5   iterations 110/2000   F1 0.4312934137374653   accuracy 0.48522727272727273   precision 0.5998711340206185   recall 0.5425610561056106

deviation 1/5   iterations 120/2000   F1 0.4718280432566147   accuracy 0.5511363636363636   precision 0.6122620935765266   recall 0.5468035645098799

deviation 1/5   iterations 130/2000   F1 0.420673127753304   accuracy 0.4693181818181818   precision 0.5950138778747026   recall 0.5409967974593535

deviation 1/5   iterations 140/2000   F1 0.37716938562998964   accuracy 0.4068181818181818   precision 0.5762291831879461   recall 0.5355886708626435

deviation 1/5   iterations 150/2000   F1 0.47905282331511834   accuracy 0.5568181818181818   precision 0.6279738302934179   recall 0.553351516654269

deviation 1/5   iterations 160/2000   F1 0.46548947798069157   accuracy 0.5375   precision 0.6170202220459953   recall 0.5488236115203872

deviation 1/5   iterations 170/2000   F1 0.4604958677685951   accuracy 0.5363636363636364   precision 0.5997224425059478   recall 0.5415779793763303

deviation 1/5   iterations 180/2000   F1 0.45549694293834486   accuracy 0.5306818181818181   precision 0.5923374306106265   recall 0.5385078467747353

deviation 1/5   iterations 190/2000   F1 0.45022330558181556   accuracy 0.5261363636363636   precision 0.5814333862014274   recall 0.5339604896676812

deviation 1/5   iterations 200/2000   F1 0.4906540465084607   accuracy 0.5943181818181819   precision 0.599276367961935   recall 0.5421952927917253

deviation 1/5   iterations 210/2000   F1 0.4065422185142698   accuracy 0.44886363636363635   precision 0.5875793021411578   recall 0.5385389233310978

deviation 1/5   iterations 220/2000   F1 0.4589212016508302   accuracy 0.5340909090909091   precision 0.5984337827121332   recall 0.541046626984127

deviation 1/5   iterations 230/2000   F1 0.4801410752908518   accuracy 0.5806818181818182   precision 0.5873810467882633   recall 0.536921659275703

deviation 1/5   iterations 240/2000   F1 0.5176173688570382   accuracy 0.6443181818181818   precision 0.6068100713719271   recall 0.5477893277893278

deviation 1/5   iterations 250/2000   F1 0.48472177139620287   accuracy 0.5818181818181818   precision 0.6005154639175257   recall 0.5423638528545466

deviation 1/5   iterations 260/2000   F1 0.45334133527064446   accuracy 0.5306818181818181   precision 0.5840107057890562   recall 0.5350251840371949

deviation 1/5   iterations 270/2000   F1 0.4625987686632269   accuracy 0.5545454545454546   precision 0.5725614591593973   recall 0.5303709235748071

deviation 1/5   iterations 280/2000   F1 0.4503684124771439   accuracy 0.5295454545454545   precision 0.5750396510705789   recall 0.5312816380503729

deviation 1/5   iterations 290/2000   F1 0.44213474863629665   accuracy 0.5113636363636364   precision 0.5813838223632039   recall 0.5340444942049719

deviation 1/5   iterations 300/2000   F1 0.44494678387593345   accuracy 0.5125   precision 0.5903548770816812   recall 0.5378296214443943

deviation 1/5   iterations 310/2000   F1 0.47555698232309174   accuracy 0.5738636363636364   precision 0.5835150674068199   recall 0.5351820435860629

deviation 1/5   iterations 320/2000   F1 0.5006428291937617   accuracy 0.6193181818181818   precision 0.5926348136399683   recall 0.540421517050462

deviation 1/5   iterations 330/2000   F1 0.520532094209831   accuracy 0.6602272727272728   precision 0.5950138778747026   recall 0.5439984163324325

deviation 1/5   iterations 340/2000   F1 0.4914997393886207   accuracy 0.6056818181818182   precision 0.5849028548770817   recall 0.5366340709691562

deviation 1/5   iterations 350/2000   F1 0.47275995289548156   accuracy 0.571590909090909   precision 0.5780630452022204   recall 0.5328852929662012

deviation 1/5   iterations 360/2000   F1 0.43325195112383563   accuracy 0.5   precision 0.5707771609833465   recall 0.5296813618507202

deviation 1/5   iterations 370/2000   F1 0.48856890215166754   accuracy 0.6034090909090909   precision 0.5794508326724822   recall 0.5342816204107165

deviation 1/5   iterations 380/2000   F1 0.4901514935236141   accuracy 0.6079545454545454   precision 0.5778647898493259   recall 0.5337793163505007

deviation 1/5   iterations 390/2000   F1 0.4699629234678715   accuracy 0.5693181818181818   precision 0.5726110229976209   recall 0.5305885423463396

deviation 1/5   iterations 400/2000   F1 0.5129200415035977   accuracy 0.6465909090909091   precision 0.5914452815226011   recall 0.5414664981036662

deviation 1/5   iterations 410/2000   F1 0.4909051770530621   accuracy 0.6090909090909091   precision 0.5785091197462331   recall 0.5340909090909091

deviation 1/5   iterations 420/2000   F1 0.5141178078447451   accuracy 0.6556818181818181   precision 0.5841098334655036   recall 0.5389490414794669

deviation 1/5   iterations 430/2000   F1 0.5103161698283649   accuracy 0.65   precision 0.5808881839809674   recall 0.5371660859465738

deviation 1/5   iterations 440/2000   F1 0.5014978696193118   accuracy 0.6295454545454545   precision 0.5817803330689929   recall 0.5363636363636364

deviation 1/5   iterations 450/2000   F1 0.5129559748427672   accuracy 0.6375   precision 0.6029440919904838   recall 0.5457189396815963

deviation 1/5   iterations 460/2000   F1 0.45926978128988855   accuracy 0.5443181818181818   precision 0.5792525773195876   recall 0.5330660545620919

deviation 1/5   iterations 470/2000   F1 0.5106836859590838   accuracy 0.6386363636363637   precision 0.5952616970658208   recall 0.5425682709131581

deviation 1/5   iterations 480/2000   F1 0.5153097022255901   accuracy 0.6431818181818182   precision 0.6020023790642348   recall 0.5456967759126032

deviation 1/5   iterations 490/2000   F1 0.5091327364949139   accuracy 0.634090909090909   precision 0.5968477398889771   recall 0.5429601618151437

deviation 1/5   iterations 500/2000   F1 0.47375645931126975   accuracy 0.5693181818181818   precision 0.5851011102299761   recall 0.5357561211793065

deviation 1/5   iterations 510/2000   F1 0.471459837488365   accuracy 0.5659090909090909   precision 0.5831681205392545   recall 0.5349030701389467

deviation 1/5   iterations 520/2000   F1 0.5183083172481346   accuracy 0.6545454545454545   precision 0.5959555908009517   recall 0.543956043956044

deviation 1/5   iterations 530/2000   F1 0.5317597527657096   accuracy 0.6625   precision 0.6212827121332276   recall 0.5553122474697529

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deviation 1/5   iterations 540/2000   F1 0.5113456047063758   accuracy 0.6329545454545454   precision 0.60453013481364   recall 0.5461006278997328

deviation 1/5   iterations 550/2000   F1 0.5020867429750824   accuracy 0.6193181818181818   precision 0.5967981760507534   recall 0.5421543392744403

deviation 1/5   iterations 560/2000   F1 0.5021736582183647   accuracy 0.6215909090909091   precision 0.5939234734337827   recall 0.5410673168088853

deviation 1/5   iterations 570/2000   F1 0.4969013017239046   accuracy 0.615909090909091   precision 0.5865384615384616   recall 0.5377236193933108

deviation 1/5   iterations 580/2000   F1 0.5210166177908114   accuracy 0.6659090909090909   precision 0.5899088025376685   recall 0.5422607399124033

deviation 1/5   iterations 590/2000   F1 0.5399392097264437   accuracy 0.7068181818181818   precision 0.5922878667724029   recall 0.5477546100382139

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deviation 1/5   iterations 600/2000   F1 0.4945399801392929   accuracy 0.6102272727272727   precision 0.5874801744647106   recall 0.5378806170355466

deviation 1/5   iterations 610/2000   F1 0.5230814508545628   accuracy 0.6568181818181819   precision 0.6055709754163363   recall 0.5482173174872665

deviation 1/5   iterations 620/2000   F1 0.49825260432388196   accuracy 0.6136363636363636   precision 0.5935765265662173   recall 0.5405576679340938

deviation 1/5   iterations 630/2000   F1 0.5182198944861752   accuracy 0.675   precision 0.5742466296590008   recall 0.5360868203608682

deviation 1/5   iterations 640/2000   F1 0.509900894427354   accuracy 0.6397727272727273   precision 0.5917426645519429   recall 0.5411536815425405

deviation 1/5   iterations 650/2000   F1 0.5053195445480506   accuracy 0.6306818181818182   precision 0.5907513877874703   recall 0.5402083985264973

deviation 1/5   iterations 660/2000   F1 0.5098625842574567   accuracy 0.6329545454545454   precision 0.600366772402855   recall 0.5443653293167192

deviation 1/5   iterations 670/2000   F1 0.4686926115066287   accuracy 0.5636363636363636   precision 0.577716098334655   recall 0.5326150262085032

deviation 1/5   iterations 680/2000   F1 0.46196669011138547   accuracy 0.5465909090909091   precision 0.5847045995241871   recall 0.5353407675088274

deviation 1/5   iterations 690/2000   F1 0.49987821709831937   accuracy 0.6181818181818182   precision 0.5919904837430611   recall 0.5401002506265664

deviation 1/5   iterations 700/2000   F1 0.5114705882352941   accuracy 0.6568181818181819   precision 0.5764274385408406   recall 0.5356812291743799

deviation 1/5   iterations 710/2000   F1 0.5355555555555556   accuracy 0.6977272727272728   precision 0.5912965900079302   recall 0.5461237980769231

deviation 1/5   iterations 720/2000   F1 0.5120764652014651   accuracy 0.6477272727272727   precision 0.5879262490087231   recall 0.5400415312387143

deviation 1/5   iterations 730/2000   F1 0.5074123460663581   accuracy 0.6431818181818182   precision 0.5811855670103092   recall 0.5368661520109833

deviation 1/5   iterations 740/2000   F1 0.5022057831975187   accuracy 0.6329545454545454   precision 0.5795499603489294   recall 0.5355925155925156

deviation 1/5   iterations 750/2000   F1 0.49847677864588735   accuracy 0.625   precision 0.5792030134813639   recall 0.5350507775657476

deviation 1/5   iterations 760/2000   F1 0.5200574799294903   accuracy 0.6670454545454545   precision 0.5863897700237907   recall 0.5408199111236014

deviation 1/5   iterations 770/2000   F1 0.5292978510744628   accuracy 0.6886363636363636   precision 0.5861419508326725   recall 0.5427489177489178

deviation 1/5   iterations 780/2000   F1 0.5125946345458541   accuracy 0.6534090909090909   precision 0.5828211736716892   recall 0.5382312061362116

deviation 1/5   iterations 790/2000   F1 0.5120764652014651   accuracy 0.6477272727272727   precision 0.5879262490087231   recall 0.5400415312387143

deviation 1/5   iterations 800/2000   F1 0.4992311697117189   accuracy 0.6261363636363636   precision 0.5798473433782712   recall 0.5353772419585948

deviation 1/5   iterations 810/2000   F1 0.5078896552223382   accuracy 0.6488636363636363   precision 0.5760804916732751   recall 0.5350106913756236

deviation 1/5   iterations 820/2000   F1 0.506655347503644   accuracy 0.6420454545454546   precision 0.580541237113402   recall 0.5365219834246383

deviation 1/5   iterations 830/2000   F1 0.5165573997133107   accuracy 0.6568181818181819   precision 0.5889175257731959   recall 0.5411100162698503

deviation 1/5   iterations 840/2000   F1 0.5275497278366983   accuracy 0.6806818181818182   precision 0.5899583663758922   recall 0.5436363636363636

deviation 1/5   iterations 850/2000   F1 0.5275497278366983   accuracy 0.6806818181818182   precision 0.5899583663758922   recall 0.5436363636363636

deviation 1/5   iterations 860/2000   F1 0.5248832851653064   accuracy 0.6715909090909091   precision 0.5931304520222046   recall 0.5441621472345777

deviation 1/5   iterations 870/2000   F1 0.516993740655799   accuracy 0.6625   precision 0.5838124504361618   recall 0.5393276392369368

deviation 1/5   iterations 880/2000   F1 0.538547650611283   accuracy 0.696590909090909   precision 0.5989789849325932   recall 0.5494432374550474

deviation 1/5   iterations 890/2000   F1 0.5220252526842785   accuracy 0.6863636363636364   precision 0.5723632038065027   recall 0.536228287841191

deviation 1/5   iterations 900/2000   F1 0.48714095107366095   accuracy 0.6034090909090909   precision 0.575287470261697   recall 0.5325422712105875

deviation 1/5   iterations 910/2000   F1 0.5104478469036904   accuracy 0.6477272727272727   precision 0.5837628865979381   recall 0.5382569326542163

deviation 1/5   iterations 920/2000   F1 0.5234988754617814   accuracy 0.6670454545454545   precision 0.5947164948453608   recall 0.5444441860329902

deviation 1/5   iterations 930/2000   F1 0.5296086269405968   accuracy 0.6863636363636364   precision 0.5890166534496432   recall 0.543800604819042

deviation 1/5   iterations 940/2000   F1 0.5221395117315655   accuracy 0.6727272727272727   precision 0.5854480570975416   recall 0.5408928105505348

deviation 1/5   iterations 950/2000   F1 0.48499364022624547   accuracy 0.6068181818181818   precision 0.5647303727200634   recall 0.5282170944602886

deviation 1/5   iterations 960/2000   F1 0.4894455275886961   accuracy 0.6090909090909091   precision 0.574345757335448   recall 0.532345013477089

deviation 1/5   iterations 970/2000   F1 0.5252243558081748   accuracy 0.6772727272727272   precision 0.5880253766851705   recall 0.5424484332799541

deviation 1/5   iterations 980/2000   F1 0.5239551238328198   accuracy 0.6863636363636364   precision 0.5765265662172878   recall 0.5381432347637046

deviation 1/5   iterations 990/2000   F1 0.5047246660149886   accuracy 0.6545454545454545   precision 0.5626486915146709   recall 0.5294473953965148

deviation 1/5   iterations 1000/2000   F1 0.5125946345458541   accuracy 0.6534090909090909   precision 0.5828211736716892   recall 0.5382312061362116

deviation 1/5   iterations 1010/2000   F1 0.504388668097677   accuracy 0.6386363636363637   precision 0.5786082474226804   recall 0.5354976610935787

deviation 1/5   iterations 1020/2000   F1 0.4923229837840843   accuracy 0.6227272727272727   precision 0.5654242664551943   recall 0.5290909090909091

deviation 1/5   iterations 1030/2000   F1 0.5206035285984791   accuracy 0.6704545454545454   precision 0.5841593973037271   recall 0.5401266660364874

deviation 1/5   iterations 1040/2000   F1 0.5454812674790671   accuracy 0.7204545454545455   precision 0.5916931007137193   recall 0.5494983277591974

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deviation 1/5   iterations 1050/2000   F1 0.5353793940527471   accuracy 0.6920454545454545   precision 0.5964016653449643   recall 0.5477373830342077

deviation 1/5   iterations 1060/2000   F1 0.5348011363636365   accuracy 0.7022727272727273   precision 0.5855471847739889   recall 0.5440485912617394

deviation 1/5   iterations 1070/2000   F1 0.551165088531363   accuracy 0.7284090909090909   precision 0.5962034099920698   recall 0.5529926080635583

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deviation 1/5   iterations 1080/2000   F1 0.5467426822173241   accuracy 0.7193181818181819   precision 0.5952121332275971   recall 0.5509714695093233

deviation 1/5   iterations 1090/2000   F1 0.5499914771113089   accuracy 0.7238636363636364   precision 0.597789452815226   recall 0.5529383749555604

deviation 1/5   iterations 1100/2000   F1 0.5473796722681648   accuracy 0.7090909090909091   precision 0.6060666137985726   recall 0.5543492063492064

deviation 1/5   iterations 1110/2000   F1 0.5218808653561197   accuracy 0.675   precision 0.582573354480571   recall 0.5398193073448218

deviation 1/5   iterations 1120/2000   F1 0.5166757000903341   accuracy 0.6545454545454545   precision 0.5917922283901665   recall 0.5421762200815285

deviation 1/5   iterations 1130/2000   F1 0.5267514428647727   accuracy 0.6693181818181818   precision 0.6001685170499603   recall 0.5470024594310168

deviation 1/5   iterations 1140/2000   F1 0.5398345263549317   accuracy 0.6931818181818182   precision 0.6053727200634417   recall 0.551848600136572

deviation 1/5   iterations 1150/2000   F1 0.5427037016817002   accuracy 0.7079545454545455   precision 0.5970955590800952   recall 0.5501180037223938

deviation 1/5   iterations 1160/2000   F1 0.5498469686027718   accuracy 0.7295454545454545   precision 0.5926843774781919   recall 0.5515151515151515

deviation 1/5   iterations 1170/2000   F1 0.5449526924098221   accuracy 0.7056818181818182   precision 0.604133624107851   recall 0.5529782955412246

deviation 1/5   iterations 1180/2000   F1 0.5361694152923538   accuracy 0.6931818181818182   precision 0.5970459952418715   recall 0.5481601731601732

deviation 1/5   iterations 1190/2000   F1 0.5420042225168165   accuracy 0.6988636363636364   precision 0.6044310071371927   recall 0.5521667007099573

deviation 1/5   iterations 1200/2000   F1 0.5400319763866683   accuracy 0.6909090909090909   precision 0.6082474226804124   recall 0.5528250773993808

deviation 1/5   iterations 1210/2000   F1 0.5289537712895377   accuracy 0.675   precision 0.5992268041237113   recall 0.5471380471380471

deviation 1/5   iterations 1220/2000   F1 0.5157776530039304   accuracy 0.6659090909090909   precision 0.5774187153053132   recall 0.5367780367780368

deviation 1/5   iterations 1230/2000   F1 0.5348442407265936   accuracy 0.6886363636363636   precision 0.5986320380650277   recall 0.5483302975106253

deviation 1/5   iterations 1240/2000   F1 0.5468417902850928   accuracy 0.7056818181818182   precision 0.6082969865186361   recall 0.5548392156862745

deviation 1/5   iterations 1250/2000   F1 0.5536952509622446   accuracy 0.7261363636363637   precision 0.6032414750198255   recall 0.5558898302242435

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deviation 1/5   iterations 1260/2000   F1 0.547970173985087   accuracy 0.7181818181818181   precision 0.598731165741475   recall 0.552426571218023

deviation 1/5   iterations 1270/2000   F1 0.5243243243243243   accuracy 0.6840909090909091   precision 0.5794012688342585   recall 0.5392348950552276

deviation 1/5   iterations 1280/2000   F1 0.5499797919811281   accuracy 0.7181818181818181   precision 0.6028945281522601   recall 0.5543469724338334

deviation 1/5   iterations 1290/2000   F1 0.5401401271122102   accuracy 0.6988636363636364   precision 0.6002676447264076   recall 0.5503111807459634

deviation 1/5   iterations 1300/2000   F1 0.5374607766422435   accuracy 0.6977272727272728   precision 0.5954599524187153   recall 0.5480071786435354

deviation 1/5   iterations 1310/2000   F1 0.5439340400471142   accuracy 0.7125   precision 0.5955095162569389   recall 0.5500522730667082

deviation 1/5   iterations 1320/2000   F1 0.5503474587818504   accuracy 0.7272727272727273   precision 0.5955590800951626   recall 0.5524825783972126

deviation 1/5   iterations 1330/2000   F1 0.5353793940527471   accuracy 0.6920454545454545   precision 0.5964016653449643   recall 0.5477373830342077

deviation 1/5   iterations 1340/2000   F1 0.5200574799294903   accuracy 0.6670454545454545   precision 0.5863897700237907   recall 0.5408199111236014

deviation 1/5   iterations 1350/2000   F1 0.5388083284139815   accuracy 0.6943181818181818   precision 0.6018536875495638   recall 0.5504371836171192

deviation 1/5   iterations 1360/2000   F1 0.5438737292669877   accuracy 0.7181818181818181   precision 0.5904044409199048   recall 0.5485312899106003

deviation 1/5   iterations 1370/2000   F1 0.5436107676623066   accuracy 0.7011363636363637   precision 0.6057196669310071   recall 0.5530468356555313

deviation 1/5   iterations 1380/2000   F1 0.543522244197413   accuracy 0.7147727272727272   precision 0.5926348136399683   recall 0.5490580152371203

deviation 1/5   iterations 1390/2000   F1 0.5575214003646443   accuracy 0.7204545454545455   precision 0.6166732751784298   recall 0.560986035907666

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deviation 1/5   iterations 1400/2000   F1 0.5508082751172758   accuracy 0.725   precision 0.5984337827121332   recall 0.5534388117533097

deviation 1/5   iterations 1410/2000   F1 0.5561126517852697   accuracy 0.7352272727272727   precision 0.6000693893735131   recall 0.5561336197009821

deviation 1/5   iterations 1420/2000   F1 0.56302302106737   accuracy 0.7227272727272728   precision 0.6262886597938144   recall 0.5656768739045263

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deviation 1/5   iterations 1430/2000   F1 0.5415323499723226   accuracy 0.7090909090909091   precision 0.5935765265662173   recall 0.5486648108052377

deviation 1/5   iterations 1440/2000   F1 0.5578416678021529   accuracy 0.7318181818181818   precision 0.6064631245043617   recall 0.5584712543554007

deviation 1/5   iterations 1450/2000   F1 0.5552790479009243   accuracy 0.7147727272727272   precision 0.6176149881046789   recall 0.5604128081263247

deviation 1/5   iterations 1460/2000   F1 0.5553478971414315   accuracy 0.7284090909090909   precision 0.60453013481364   recall 0.5569111724268203

deviation 1/5   iterations 1470/2000   F1 0.547970173985087   accuracy 0.7181818181818181   precision 0.598731165741475   recall 0.552426571218023

deviation 1/5   iterations 1480/2000   F1 0.553125   accuracy 0.7340909090909091   precision 0.5952616970658208   recall 0.5536033020972779

deviation 1/5   iterations 1490/2000   F1 0.5475521669341894   accuracy 0.7204545454545455   precision 0.5958564631245044   recall 0.551458067262665

deviation 1/5   iterations 1500/2000   F1 0.5575528364849833   accuracy 0.7431818181818182   precision 0.5962529738302934   recall 0.5559476822909164

deviation 1/5   iterations 1510/2000   F1 0.5647792169011981   accuracy 0.759090909090909   precision 0.5969468675654243   recall 0.5601402041569303

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deviation 1/5   iterations 1520/2000   F1 0.5538403726745122   accuracy 0.7102272727272727   precision 0.6192010309278351   recall 0.5603607843137255

deviation 1/5   iterations 1530/2000   F1 0.5611358268797715   accuracy 0.7420454545454546   precision 0.6039353687549563   recall 0.5594223535162476

deviation 1/5   iterations 1540/2000   F1 0.5355862495677968   accuracy 0.7034090909090909   precision 0.5861915146708961   recall 0.5444896418954788

deviation 1/5   iterations 1550/2000   F1 0.5582472083438363   accuracy 0.7352272727272727   precision 0.6042327517842982   recall 0.558110376556898

deviation 1/5   iterations 1560/2000   F1 0.56302302106737   accuracy 0.7227272727272728   precision 0.6262886597938144   recall 0.5656768739045263

deviation 1/5   iterations 1570/2000   F1 0.5847037383923969   accuracy 0.7784090909090909   precision 0.6162272006344172   recall 0.5760283687943262

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deviation 1/5   iterations 1580/2000   F1 0.5639921964512433   accuracy 0.7818181818181819   precision 0.5806899286280729   recall 0.5582447855175128

deviation 1/5   iterations 1590/2000   F1 0.5407349945881622   accuracy 0.7079545454545455   precision 0.5929321966693101   recall 0.5482082596818255

deviation 1/5   iterations 1600/2000   F1 0.557008404860673   accuracy 0.7306818181818182   precision 0.6058187946074545   recall 0.5579474130619169

deviation 1/5   iterations 1610/2000   F1 0.5582329317269076   accuracy 0.7295454545454545   precision 0.6093378271213323   recall 0.5593585189968787

deviation 1/5   iterations 1620/2000   F1 0.5602623644716177   accuracy 0.7295454545454545   precision 0.6135011895321174   recall 0.5612709030100335

deviation 1/5   iterations 1630/2000   F1 0.5454861111111111   accuracy 0.7295454545454545   precision 0.5843576526566218   recall 0.5474676483712628

deviation 1/5   iterations 1640/2000   F1 0.5367235110360015   accuracy 0.7079545454545455   precision 0.5846054718477399   recall 0.5443379502464302

deviation 1/5   iterations 1650/2000   F1 0.5589420438010999   accuracy 0.7420454545454546   precision 0.5997720063441713   recall 0.5574162679425837

deviation 1/5   iterations 1660/2000   F1 0.566890380313199   accuracy 0.775   precision 0.589314036478985   recall 0.5608146873207114

deviation 1/5   iterations 1670/2000   F1 0.5651486401012018   accuracy 0.7727272727272727   precision 0.5880253766851705   recall 0.5593900481540931

deviation 1/5   iterations 1680/2000   F1 0.5589832112927027   accuracy 0.7545454545454545   precision 0.5902061855670103   recall 0.5555301296720061

deviation 1/5   iterations 1690/2000   F1 0.566027397260274   accuracy 0.7545454545454545   precision 0.6026962727993657   recall 0.5618212197159566

deviation 1/5   iterations 1700/2000   F1 0.5656575883365395   accuracy 0.7340909090909091   precision 0.6202418715305313   recall 0.5652782262404478

deviation 1/5   iterations 1710/2000   F1 0.569691848346572   accuracy 0.7534090909090909   precision 0.6103786677240286   recall 0.5652701148161988

deviation 1/5   iterations 1720/2000   F1 0.5741571860974846   accuracy 0.7681818181818182   precision 0.606264869151467   recall 0.5675084228092824

deviation 1/5   iterations 1730/2000   F1 0.5630667000770294   accuracy 0.7568181818181818   precision 0.5956582077716098   recall 0.558886346300534

deviation 1/5   iterations 1740/2000   F1 0.5620091324200913   accuracy 0.7522727272727273   precision 0.597244250594766   recall 0.5585392051557465

deviation 1/5   iterations 1750/2000   F1 0.5589420438010999   accuracy 0.7420454545454546   precision 0.5997720063441713   recall 0.5574162679425837

deviation 1/5   iterations 1760/2000   F1 0.5634594344815401   accuracy 0.7511363636363636   precision 0.600763283108644   recall 0.5600063459736273

deviation 1/5   iterations 1770/2000   F1 0.5686185159869371   accuracy 0.7579545454545454   precision 0.6046292624900873   recall 0.5636845638090067

deviation 1/5   iterations 1780/2000   F1 0.545129006744596   accuracy 0.7170454545454545   precision 0.5939234734337827   recall 0.5500082467425367

deviation 1/5   iterations 1790/2000   F1 0.5451141284881638   accuracy 0.7113636363636363   precision 0.5990285487708168   recall 0.551500154655119

deviation 1/5   iterations 1800/2000   F1 0.57531716643001   accuracy 0.7636363636363637   precision 0.6120142743854085   recall 0.5689549961861174

deviation 1/5   iterations 1810/2000   F1 0.56231501988362   accuracy 0.7465909090909091   precision 0.6023493259318001   recall 0.5596928635953027

deviation 1/5   iterations 1820/2000   F1 0.5869602321215225   accuracy 0.8   precision 0.6034892942109438   recall 0.5788043478260869

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deviation 1/5   iterations 1830/2000   F1 0.5813551587879494   accuracy 0.7772727272727272   precision 0.6114195083267249   recall 0.5731985282146462

deviation 1/5   iterations 1840/2000   F1 0.5816243832383712   accuracy 0.7806818181818181   precision 0.6091891356066614   recall 0.5733361629174677

deviation 1/5   iterations 1850/2000   F1 0.5654260818195245   accuracy 0.7568181818181818   precision 0.5998215701823949   recall 0.5609859496124031

deviation 1/5   iterations 1860/2000   F1 0.5774478812372454   accuracy 0.7818181818181819   precision 0.6015067406819984   recall 0.5697642730617251

deviation 1/5   iterations 1870/2000   F1 0.5720643278875344   accuracy 0.775   precision 0.5976407613005551   recall 0.5652858326429163

deviation 1/5   iterations 1880/2000   F1 0.5818494658076908   accuracy 0.7840909090909091   precision 0.606958762886598   recall 0.5735113775718763

deviation 1/5   iterations 1890/2000   F1 0.5466003542716992   accuracy 0.725   precision 0.5901070578905631   recall 0.5494882404181185

deviation 1/5   iterations 1900/2000   F1 0.5563186438830294   accuracy 0.7477272727272727   precision 0.5905035685963521   recall 0.5540892798957315

deviation 1/5   iterations 1910/2000   F1 0.5747412141683539   accuracy 0.7784090909090909   precision 0.5995737509912767   recall 0.5674891451318961

deviation 1/5   iterations 1920/2000   F1 0.5642823887612052   accuracy 0.7715909090909091   precision 0.5873810467882633   recall 0.5586889038690402

deviation 1/5   iterations 1930/2000   F1 0.5794267057597922   accuracy 0.7977272727272727   precision 0.5938739095955591   recall 0.5722928356044124

deviation 1/5   iterations 1940/2000   F1 0.5729909297898548   accuracy 0.7636363636363637   precision 0.6078509119746234   recall 0.5669044397983027

deviation 1/5   iterations 1950/2000   F1 0.5849651488502378   accuracy 0.7943181818181818   precision 0.6044310071371927   recall 0.5765631955232151

deviation 1/5   iterations 1960/2000   F1 0.5767043335331143   accuracy 0.7875   precision 0.5964016653449643   recall 0.5692324805339266

deviation 1/5   iterations 1970/2000   F1 0.5704119737093738   accuracy 0.7795454545454545   precision 0.5918913560666138   recall 0.5637573506654286

deviation 1/5   iterations 1980/2000   F1 0.5848820687695369   accuracy 0.8113636363636364   precision 0.5932791435368755   recall 0.5792387688939413

deviation 1/5   iterations 1990/2000   F1 0.5367713833369498   accuracy 0.7022727272727273   precision 0.589710547184774   recall 0.545968253968254

deviation 1/5   iterations 2000/2000   F1 0.5671501888613563   accuracy 0.759090909090909   precision 0.6011102299762093   recall 0.5622425629290617



deviation 2/5   iterations 10/2000   F1 0.5003062474479381   accuracy 0.5954545454545455   precision 0.6262365591397849   recall 0.553726745432769

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deviation 2/5   iterations 20/2000   F1 0.5396213864020621   accuracy 0.6568181818181819   precision 0.6487250384024577   recall 0.5666000803438276

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deviation 2/5   iterations 30/2000   F1 0.45601448770634534   accuracy 0.5159090909090909   precision 0.6263594470046083   recall 0.5536242314251295

deviation 2/5   iterations 40/2000   F1 0.4213751136016216   accuracy 0.4647727272727273   precision 0.6096774193548388   recall 0.5483048645840098

deviation 2/5   iterations 50/2000   F1 0.38455270751994564   accuracy 0.4147727272727273   precision 0.5854070660522274   recall 0.5399425287356322

deviation 2/5   iterations 60/2000   F1 0.36907907456338207   accuracy 0.3931818181818182   precision 0.5813824884792627   recall 0.5396483287533451

deviation 2/5   iterations 70/2000   F1 0.42645669779037176   accuracy 0.4738636363636364   precision 0.606605222734255   recall 0.546421156274749

deviation 2/5   iterations 80/2000   F1 0.45283658527788795   accuracy 0.5102272727272728   precision 0.6272503840245776   recall 0.5541862899005756

deviation 2/5   iterations 90/2000   F1 0.4593864506768562   accuracy 0.5193181818181818   precision 0.6324116743471582   recall 0.5561677683020914

deviation 2/5   iterations 100/2000   F1 0.46172184192969623   accuracy 0.5238636363636363   precision 0.6308755760368664   recall 0.5553810633164157

deviation 2/5   iterations 110/2000   F1 0.4193154795253925   accuracy 0.45795454545454545   precision 0.6222734254992319   recall 0.5546895611643655

deviation 2/5   iterations 120/2000   F1 0.4372038248502572   accuracy 0.48409090909090907   precision 0.6288786482334869   recall 0.5560711937082641

deviation 2/5   iterations 130/2000   F1 0.4745691217271966   accuracy 0.5431818181818182   precision 0.6377265745007681   recall 0.5579765248744252

deviation 2/5   iterations 140/2000   F1 0.5175124237372446   accuracy 0.6079545454545454   precision 0.6621505376344086   recall 0.5689091516784692

deviation 2/5   iterations 150/2000   F1 0.5330767423790679   accuracy 0.6329545454545454   precision 0.668110599078341   recall 0.5726052989130435

deviation 2/5   iterations 160/2000   F1 0.5095011636771266   accuracy 0.5920454545454545   precision 0.665468509984639   recall 0.5697943231531588

deviation 2/5   iterations 170/2000   F1 0.47209020594539186   accuracy 0.5318181818181819   precision 0.6559754224270353   recall 0.5660795818387225

deviation 2/5   iterations 180/2000   F1 0.5701962670193261   accuracy 0.7045454545454546   precision 0.6634715821812596   recall 0.578735846488035

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deviation 2/5   iterations 190/2000   F1 0.5329953496324709   accuracy 0.6261363636363636   precision 0.6807066052227342   recall 0.5772987236905738

deviation 2/5   iterations 200/2000   F1 0.42551279022465893   accuracy 0.4693181818181818   precision 0.6163748079877112   recall 0.5511515858612047

deviation 2/5   iterations 210/2000   F1 0.5608418548207403   accuracy 0.6920454545454545   precision 0.6563748079877112   recall 0.5738606022613824

deviation 2/5   iterations 220/2000   F1 0.5268657746449487   accuracy 0.6193181818181818   precision 0.6727188940092166   recall 0.5737083342073798

deviation 2/5   iterations 230/2000   F1 0.4817432273262662   accuracy 0.5477272727272727   precision 0.6567741935483871   recall 0.5660466248013295

deviation 2/5   iterations 240/2000   F1 0.5486879612070654   accuracy 0.6579545454545455   precision 0.6740706605222735   recall 0.5769853692471576

deviation 2/5   iterations 250/2000   F1 0.5170425339767283   accuracy 0.6056818181818182   precision 0.6649769585253456   recall 0.569981650993557

deviation 2/5   iterations 260/2000   F1 0.521589244712218   accuracy 0.6136363636363636   precision 0.6653763440860214   recall 0.5704584840758329

deviation 2/5   iterations 270/2000   F1 0.5615956973810378   accuracy 0.6829545454545455   precision 0.6717972350230415   recall 0.5788867822318526

deviation 2/5   iterations 280/2000   F1 0.5632910825457966   accuracy 0.6852272727272727   precision 0.6730875576036867   recall 0.5797113752122242

deviation 2/5   iterations 290/2000   F1 0.4942256227885842   accuracy 0.5636363636363636   precision 0.6699231950844854   recall 0.5714529322702163

deviation 2/5   iterations 300/2000   F1 0.5220937206326118   accuracy 0.6079545454545454   precision 0.6786175115207373   recall 0.5756416661462561

deviation 2/5   iterations 310/2000   F1 0.567270323859881   accuracy 0.6829545454545455   precision 0.6882642089093702   recall 0.5854910714285714

deviation 2/5   iterations 320/2000   F1 0.5521628498727735   accuracy 0.6590909090909091   precision 0.6829493087557603   recall 0.580658268996343

deviation 2/5   iterations 330/2000   F1 0.5384245846752649   accuracy 0.6352272727272728   precision 0.6817511520737327   recall 0.578263906527813

deviation 2/5   iterations 340/2000   F1 0.5316867995178374   accuracy 0.6227272727272727   precision 0.6828878648233487   recall 0.5780042035525785

deviation 2/5   iterations 350/2000   F1 0.5417609170088424   accuracy 0.6431818181818182   precision 0.6780337941628264   recall 0.5773248149274921

deviation 2/5   iterations 360/2000   F1 0.5403974332923014   accuracy 0.6465909090909091   precision 0.6676190476190476   recall 0.5733901515151516

deviation 2/5   iterations 370/2000   F1 0.541222688623399   accuracy 0.6477272727272727   precision 0.6682642089093702   recall 0.5737428572967325

deviation 2/5   iterations 380/2000   F1 0.5453613818032755   accuracy 0.6534090909090909   precision 0.6714900153609831   recall 0.5755287826632893

deviation 2/5   iterations 390/2000   F1 0.5326728661042401   accuracy 0.6306818181818182   precision 0.670937019969278   recall 0.5736072305477944

deviation 2/5   iterations 400/2000   F1 0.5244034256256755   accuracy 0.615909090909091   precision 0.6707834101382488   recall 0.5727621610584349

deviation 2/5   iterations 410/2000   F1 0.46837462462462465   accuracy 0.5318181818181819   precision 0.6395084485407065   recall 0.5589314728585593

deviation 2/5   iterations 420/2000   F1 0.537569178373776   accuracy 0.6409090909090909   precision 0.6685099846390169   recall 0.5733135870059185

deviation 2/5   iterations 430/2000   F1 0.5467869182732512   accuracy 0.6647727272727273   precision 0.657357910906298   recall 0.5709009767225532

deviation 2/5   iterations 440/2000   F1 0.5338232241458047   accuracy 0.6375   precision 0.6624577572964669   recall 0.5706196581196581

deviation 2/5   iterations 450/2000   F1 0.5313699028869308   accuracy 0.634090909090909   precision 0.6605222734254992   recall 0.5696031885587011

deviation 2/5   iterations 460/2000   F1 0.5151515151515151   accuracy 0.6079545454545454   precision 0.6539170506912442   recall 0.565541601255887

deviation 2/5   iterations 470/2000   F1 0.5192029567732604   accuracy 0.6136363636363636   precision 0.6571428571428571   recall 0.5670995670995671

deviation 2/5   iterations 480/2000   F1 0.5339294620957747   accuracy 0.6488636363636363   precision 0.6442089093701997   recall 0.5640570754819973

deviation 2/5   iterations 490/2000   F1 0.545293586269196   accuracy 0.675   precision 0.6384639016897081   recall 0.564248039914469

deviation 2/5   iterations 500/2000   F1 0.5520119782893507   accuracy 0.6909090909090909   precision 0.6351459293394777   recall 0.5648533097449506

deviation 2/5   iterations 510/2000   F1 0.5281082219180966   accuracy 0.6295454545454545   precision 0.6579416282642089   recall 0.5682659570512718

deviation 2/5   iterations 520/2000   F1 0.5171829018903686   accuracy 0.6125   precision 0.6523809523809524   recall 0.5651041666666666

deviation 2/5   iterations 530/2000   F1 0.5305534956621122   accuracy 0.6329545454545454   precision 0.6598771121351766   recall 0.5692669733367408

deviation 2/5   iterations 540/2000   F1 0.5511925299159341   accuracy 0.6613636363636364   precision 0.6760061443932411   recall 0.5780947551513367

deviation 2/5   iterations 550/2000   F1 0.4865034829721362   accuracy 0.5613636363636364   precision 0.6439324116743472   recall 0.5604987629068332

deviation 2/5   iterations 560/2000   F1 0.537569178373776   accuracy 0.6409090909090909   precision 0.6685099846390169   recall 0.5733135870059185

deviation 2/5   iterations 570/2000   F1 0.537569178373776   accuracy 0.6409090909090909   precision 0.6685099846390169   recall 0.5733135870059185

deviation 2/5   iterations 580/2000   F1 0.5420742754411398   accuracy 0.6602272727272728   precision 0.6506605222734254   recall 0.5677138564863909

deviation 2/5   iterations 590/2000   F1 0.5432719466726923   accuracy 0.6659090909090909   precision 0.6456528417818741   recall 0.5662302538570287

deviation 2/5   iterations 600/2000   F1 0.5358776132404182   accuracy 0.6477272727272727   precision 0.6517972350230414   recall 0.567063537306383

deviation 2/5   iterations 610/2000   F1 0.5282782018659882   accuracy 0.6409090909090909   precision 0.6396927803379415   recall 0.5615874305837736

deviation 2/5   iterations 620/2000   F1 0.5119386525095535   accuracy 0.6068181818181818   precision 0.6450384024577573   recall 0.5618608844232694

deviation 2/5   iterations 630/2000   F1 0.5419248568515178   accuracy 0.6681818181818182   precision 0.6387096774193548   recall 0.5636019405987457

deviation 2/5   iterations 640/2000   F1 0.5584511293521808   accuracy 0.7090909090909091   precision 0.6290015360983103   recall 0.5649762625418577

deviation 2/5   iterations 650/2000   F1 0.5429898870318355   accuracy 0.6829545454545455   precision 0.6223963133640553   recall 0.5584177927927928

deviation 2/5   iterations 660/2000   F1 0.5414582969050533   accuracy 0.6613636363636364   precision 0.6471889400921659   recall 0.5664033264033265

deviation 2/5   iterations 670/2000   F1 0.5458822815165589   accuracy 0.6715909090909091   precision 0.6447619047619049   recall 0.5664725532683279

deviation 2/5   iterations 680/2000   F1 0.5051225802957093   accuracy 0.5988636363636364   precision 0.6364055299539171   recall 0.5580252592840415

deviation 2/5   iterations 690/2000   F1 0.5227851730493549   accuracy 0.6238636363636364   precision 0.6505990783410138   recall 0.5649443561208267

deviation 2/5   iterations 700/2000   F1 0.513546520970593   accuracy 0.6090909090909091   precision 0.6463287250384024   recall 0.5624819624819625

deviation 2/5   iterations 710/2000   F1 0.5133640552995391   accuracy 0.6215909090909091   precision 0.6246082949308756   recall 0.5541666666666667

deviation 2/5   iterations 720/2000   F1 0.5731022752698306   accuracy 0.7215909090909091   precision 0.6484485407066052   recall 0.5756209935897436

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deviation 2/5   iterations 730/2000   F1 0.5671035914598246   accuracy 0.7113636363636363   precision 0.6467588325652842   recall 0.5729664998686389

deviation 2/5   iterations 740/2000   F1 0.5288721253946215   accuracy 0.6477272727272727   precision 0.6312135176651306   recall 0.5586189480156574

deviation 2/5   iterations 750/2000   F1 0.532080822403403   accuracy 0.6522727272727272   precision 0.633794162826421   recall 0.5600593560202781

deviation 2/5   iterations 760/2000   F1 0.5342493638676844   accuracy 0.6454545454545455   precision 0.6505069124423963   recall 0.5663551401869159

deviation 2/5   iterations 770/2000   F1 0.557813446338262   accuracy 0.7011363636363637   precision 0.6368356374807989   recall 0.5670605381706054

deviation 2/5   iterations 780/2000   F1 0.5469961240310077   accuracy 0.6909090909090909   precision 0.6227956989247312   recall 0.559593031924093

deviation 2/5   iterations 790/2000   F1 0.5659222941341806   accuracy 0.6988636363636364   precision 0.6602457757296467   recall 0.5764827327327327

deviation 2/5   iterations 800/2000   F1 0.5560245494916939   accuracy 0.6897727272727273   precision 0.6468509984639017   recall 0.5695997577113037

deviation 2/5   iterations 810/2000   F1 0.5446113148470237   accuracy 0.6852272727272727   precision 0.6236866359447004   recall 0.5592463092463092

deviation 2/5   iterations 820/2000   F1 0.5461892396701745   accuracy 0.678409090909091   precision 0.6362826420890937   recall 0.563735632183908

deviation 2/5   iterations 830/2000   F1 0.5519914381907232   accuracy 0.6886363636363636   precision 0.6379723502304147   recall 0.5657351623838547

deviation 2/5   iterations 840/2000   F1 0.5344963940230343   accuracy 0.6556818181818181   precision 0.6357296466973887   recall 0.5611558990941508

deviation 2/5   iterations 850/2000   F1 0.5443722846777443   accuracy 0.6715909090909091   precision 0.6406451612903226   recall 0.5647707979626485

deviation 2/5   iterations 860/2000   F1 0.5599999999999999   accuracy 0.7136363636363636   precision 0.6274654377880184   recall 0.5650823529411765

deviation 2/5   iterations 870/2000   F1 0.5317789693726451   accuracy 0.6647727272727273   precision 0.6161904761904762   recall 0.5538304752795427

deviation 2/5   iterations 880/2000   F1 0.569656797761084   accuracy 0.7170454545454545   precision 0.645867895545315   recall 0.5736352357320099

deviation 2/5   iterations 890/2000   F1 0.5637068011314721   accuracy 0.7068181818181818   precision 0.6441781874039938   recall 0.5710892576906065

deviation 2/5   iterations 900/2000   F1 0.5561468522018503   accuracy 0.6988636363636364   precision 0.6355453149001536   recall 0.566165178999904

deviation 2/5   iterations 910/2000   F1 0.5446092405704452   accuracy 0.678409090909091   precision 0.6321658986175115   recall 0.5620113471251643

deviation 2/5   iterations 920/2000   F1 0.5670480549199084   accuracy 0.7068181818181818   precision 0.6524116743471582   recall 0.5745454545454546

deviation 2/5   iterations 930/2000   F1 0.5729014152006644   accuracy 0.7284090909090909   precision 0.6399692780337942   recall 0.573396741932158

deviation 2/5   iterations 940/2000   F1 0.5517013416293992   accuracy 0.7022727272727273   precision 0.6210138248847926   recall 0.5604233778186839

deviation 2/5   iterations 950/2000   F1 0.5530999712427418   accuracy 0.7170454545454545   precision 0.6088172043010753   recall 0.5573525220860645

deviation 2/5   iterations 960/2000   F1 0.5569386059095072   accuracy 0.7170454545454545   precision 0.6170506912442396   recall 0.5610717857967223

deviation 2/5   iterations 970/2000   F1 0.5719617076501862   accuracy 0.7397727272727272   precision 0.6258371735791091   recall 0.5696864111498258

deviation 2/5   iterations 980/2000   F1 0.5503421309872922   accuracy 0.6863636363636364   precision 0.6366820276497696   recall 0.5648924439465808

deviation 2/5   iterations 990/2000   F1 0.5483486587563078   accuracy 0.675   precision 0.6466973886328725   recall 0.5676579441053282

deviation 2/5   iterations 1000/2000   F1 0.5417932969204939   accuracy 0.6659090909090909   precision 0.6415360983102919   recall 0.5645342940869945

deviation 2/5   iterations 1010/2000   F1 0.5432719466726923   accuracy 0.6659090909090909   precision 0.6456528417818741   recall 0.5662302538570287

deviation 2/5   iterations 1020/2000   F1 0.5377611766079141   accuracy 0.6522727272727272   precision 0.6502611367127497   recall 0.5668202261313398

deviation 2/5   iterations 1030/2000   F1 0.542670251392777   accuracy 0.6590909090909091   precision 0.6541321044546851   recall 0.5690214011743406

deviation 2/5   iterations 1040/2000   F1 0.545424570813092   accuracy 0.6795454545454546   precision 0.632811059907834   recall 0.5624166190203926

deviation 2/5   iterations 1050/2000   F1 0.5469107551487415   accuracy 0.6931818181818182   precision 0.6199692780337942   recall 0.5586776859504132

deviation 2/5   iterations 1060/2000   F1 0.564903748733536   accuracy 0.7227272727272728   precision 0.6285099846390169   recall 0.5672183834163587

deviation 2/5   iterations 1070/2000   F1 0.5627436539500172   accuracy 0.7125   precision 0.6350537634408602   recall 0.5681761786600497

deviation 2/5   iterations 1080/2000   F1 0.5482792144662649   accuracy 0.7   precision 0.6156067588325653   recall 0.5577235772357724

deviation 2/5   iterations 1090/2000   F1 0.5477255401710741   accuracy 0.6943181818181818   precision 0.6206144393241168   recall 0.5591108380911084

deviation 2/5   iterations 1100/2000   F1 0.5583550980693399   accuracy 0.7215909090909091   precision 0.6155145929339478   recall 0.5611979166666666

deviation 2/5   iterations 1110/2000   F1 0.5495194146857114   accuracy 0.6852272727272727   precision 0.636036866359447   recall 0.5644744199049483

deviation 2/5   iterations 1120/2000   F1 0.5633663049393386   accuracy 0.7181818181818181   precision 0.6300460829493088   recall 0.5670291805749973

deviation 2/5   iterations 1130/2000   F1 0.5786905566085377   accuracy 0.7511363636363636   precision 0.6281720430107527   recall 0.5736498700711784

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deviation 2/5   iterations 1140/2000   F1 0.5633969181203149   accuracy 0.7284090909090909   precision 0.6193855606758832   recall 0.5642679473948824

deviation 2/5   iterations 1150/2000   F1 0.570486959977194   accuracy 0.7431818181818182   precision 0.6195391705069124   recall 0.5676126530016473

deviation 2/5   iterations 1160/2000   F1 0.5561079545454546   accuracy 0.7159090909090909   precision 0.6164055299539171   recall 0.5605848379607422

deviation 2/5   iterations 1170/2000   F1 0.5982505067995109   accuracy 0.7806818181818181   precision 0.6367127496159755   recall 0.5875736011839164

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deviation 2/5   iterations 1180/2000   F1 0.5708088405164669   accuracy 0.740909090909091   precision 0.6223655913978494   recall 0.5683711093869087

deviation 2/5   iterations 1190/2000   F1 0.5592870820444837   accuracy 0.7102272727272727   precision 0.6296466973886329   recall 0.5654466501240695

deviation 2/5   iterations 1200/2000   F1 0.5626476371131734   accuracy 0.7147727272727272   precision 0.6322273425499232   recall 0.5673577724358974

deviation 2/5   iterations 1210/2000   F1 0.5633663049393386   accuracy 0.7181818181818181   precision 0.6300460829493088   recall 0.5670291805749973

deviation 2/5   iterations 1220/2000   F1 0.5739525876376059   accuracy 0.7397727272727272   precision 0.6299539170506913   recall 0.5715474547373549

deviation 2/5   iterations 1230/2000   F1 0.5511599550522398   accuracy 0.7090909090909091   precision 0.6125345622119815   recall 0.5577283128770543

deviation 2/5   iterations 1240/2000   F1 0.5628038365523584   accuracy 0.725   precision 0.6215668202764977   recall 0.5645728758020614

deviation 2/5   iterations 1250/2000   F1 0.5757214488586557   accuracy 0.75   precision 0.623410138248848   recall 0.5711431789683973

deviation 2/5   iterations 1260/2000   F1 0.5655656270804528   accuracy 0.7261363636363637   precision 0.6263287250384024   recall 0.5669270833333333

deviation 2/5   iterations 1270/2000   F1 0.5524361712948835   accuracy 0.7215909090909091   precision 0.6031643625192012   recall 0.5555357095604774

deviation 2/5   iterations 1280/2000   F1 0.5815449070437286   accuracy 0.7420454545454546   precision 0.643594470046083   recall 0.5781605351170569

deviation 2/5   iterations 1290/2000   F1 0.5696227929373996   accuracy 0.7340909090909091   precision 0.6267281105990783   recall 0.5687871450583315

deviation 2/5   iterations 1300/2000   F1 0.6056565656565657   accuracy 0.7920454545454545   precision 0.6390476190476191   recall 0.593744821872411

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deviation 2/5   iterations 1310/2000   F1 0.5965153599266391   accuracy 0.7681818181818182   precision 0.6460829493087558   recall 0.5871013122898028

deviation 2/5   iterations 1320/2000   F1 0.5776237958424878   accuracy 0.7579545454545454   precision 0.6196927803379416   recall 0.5716176470588236

deviation 2/5   iterations 1330/2000   F1 0.5666859596230098   accuracy 0.740909090909091   precision 0.6141321044546851   recall 0.5645543577232381

deviation 2/5   iterations 1340/2000   F1 0.5922928078925136   accuracy 0.7681818181818182   precision 0.6378494623655915   recall 0.5833698746200325

deviation 2/5   iterations 1350/2000   F1 0.5809984250814928   accuracy 0.7488636363636364   precision 0.6351152073732719   recall 0.5761869785747942

deviation 2/5   iterations 1360/2000   F1 0.583743395109747   accuracy 0.7602272727272728   precision 0.6292165898617511   recall 0.5767764829580303

deviation 2/5   iterations 1370/2000   F1 0.5763265586849617   accuracy 0.7454545454545455   precision 0.6290629800307219   recall 0.5725516202792227

deviation 2/5   iterations 1380/2000   F1 0.5929216981848561   accuracy 0.7715909090909091   precision 0.6356682027649769   recall 0.5835755813953488

deviation 2/5   iterations 1390/2000   F1 0.5789059425423062   accuracy 0.7568181818181818   precision 0.6231643625192013   recall 0.5729275054390931

deviation 2/5   iterations 1400/2000   F1 0.561102798664116   accuracy 0.7306818181818182   precision 0.6124423963133641   recall 0.561551501453019

deviation 2/5   iterations 1410/2000   F1 0.5509157685785696   accuracy 0.7113636363636363   precision 0.6097081413210446   recall 0.5568199899439279

deviation 2/5   iterations 1420/2000   F1 0.5561771561771562   accuracy 0.7295454545454545   precision 0.6035637480798771   recall 0.557184054283291

deviation 2/5   iterations 1430/2000   F1 0.5595143363195318   accuracy 0.7340909090909091   precision 0.6061443932411674   recall 0.5593076030458874

deviation 2/5   iterations 1440/2000   F1 0.559162757727621   accuracy 0.7125   precision 0.6268202764976958   recall 0.5646033653846154

deviation 2/5   iterations 1450/2000   F1 0.560582228547175   accuracy 0.7272727272727273   precision 0.6146236559139785   recall 0.5618735530775915

deviation 2/5   iterations 1460/2000   F1 0.5624525684976316   accuracy 0.740909090909091   precision 0.6058986175115207   recall 0.5606562915725236

deviation 2/5   iterations 1470/2000   F1 0.5759178940678591   accuracy 0.7397727272727272   precision 0.6340706605222735   recall 0.5733909159401571

deviation 2/5   iterations 1480/2000   F1 0.5754489413025998   accuracy 0.7443181818181818   precision 0.6284178187403994   recall 0.5719696969696969

deviation 2/5   iterations 1490/2000   F1 0.5819421490368208   accuracy 0.7579545454545454   precision 0.627926267281106   recall 0.57548729550992

deviation 2/5   iterations 1500/2000   F1 0.5696228167126647   accuracy 0.7420454545454546   precision 0.6188940092165899   recall 0.5670403836026497

deviation 2/5   iterations 1510/2000   F1 0.575364782547103   accuracy 0.7522727272727273   precision 0.620583717357911   recall 0.5704359311181457

deviation 2/5   iterations 1520/2000   F1 0.5976260684558248   accuracy 0.7772727272727272   precision 0.6388940092165899   recall 0.5872167048637638

deviation 2/5   iterations 1530/2000   F1 0.6119960185764564   accuracy 0.8102272727272727   precision 0.6329032258064516   recall 0.6009200851032063

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deviation 2/5   iterations 1540/2000   F1 0.587950678944904   accuracy 0.7681818181818182   precision 0.6296159754224271   recall 0.5795491398360372

deviation 2/5   iterations 1550/2000   F1 0.5821004566210045   accuracy 0.7636363636363637   precision 0.6229185867895546   recall 0.5748830245180611

deviation 2/5   iterations 1560/2000   F1 0.5815897695904456   accuracy 0.7602272727272728   precision 0.625099846390169   recall 0.5748529411764706

deviation 2/5   iterations 1570/2000   F1 0.6109637488947834   accuracy 0.8090909090909091   precision 0.6322580645161291   recall 0.599883063730267

deviation 2/5   iterations 1580/2000   F1 0.5989304812834224   accuracy 0.7954545454545454   precision 0.6245161290322581   recall 0.5883861513097637

deviation 2/5   iterations 1590/2000   F1 0.597037037037037   accuracy 0.7875   precision 0.6282334869431644   recall 0.5864540182270092

deviation 2/5   iterations 1600/2000   F1 0.5946218293841591   accuracy 0.7818181818181819   precision 0.6291244239631336   recall 0.5844443908672277

deviation 2/5   iterations 1610/2000   F1 0.5852071800873943   accuracy 0.7647727272727273   precision 0.6276804915514593   recall 0.57750029836496

deviation 2/5   iterations 1620/2000   F1 0.5794061218064154   accuracy 0.7602272727272728   precision 0.6209831029185868   recall 0.5729064841968068

deviation 2/5   iterations 1630/2000   F1 0.6085399940529289   accuracy 0.7875   precision 0.6488172043010753   recall 0.5961111111111111

deviation 2/5   iterations 1640/2000   F1 0.6284007962840079   accuracy 0.8170454545454545   precision 0.6532411674347158   recall 0.6151048589573179

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deviation 2/5   iterations 1650/2000   F1 0.6198156682027649   accuracy 0.8159090909090909   precision 0.6402457757296467   recall 0.6082872351529068

deviation 2/5   iterations 1660/2000   F1 0.5941552511415524   accuracy 0.7704545454545455   precision 0.6391397849462366   recall 0.5847651132322665

deviation 2/5   iterations 1670/2000   F1 0.6020966958618726   accuracy 0.7852272727272728   precision 0.6392933947772658   recall 0.5907119305995711

deviation 2/5   iterations 1680/2000   F1 0.6082589732303629   accuracy 0.7977272727272727   precision 0.6381566820276497   recall 0.5961958056318505

deviation 2/5   iterations 1690/2000   F1 0.6046720575022462   accuracy 0.7909090909090909   precision 0.6384024577572964   recall 0.5928950255280891

deviation 2/5   iterations 1700/2000   F1 0.62320387917612   accuracy 0.825   precision 0.637173579109063   recall 0.6137649181096424

deviation 2/5   iterations 1710/2000   F1 0.6184931718948379   accuracy 0.8090909090909091   precision 0.6446082949308756   recall 0.6057933489764544

deviation 2/5   iterations 1720/2000   F1 0.601731924900153   accuracy 0.7795454545454545   precision 0.6443010752688172   recall 0.5906120023767083

deviation 2/5   iterations 1730/2000   F1 0.605019305019305   accuracy 0.7886363636363637   precision 0.6412288786482335   recall 0.5931509625126646

deviation 2/5   iterations 1740/2000   F1 0.609262701596213   accuracy 0.7988636363636363   precision 0.6388018433179723   recall 0.597106159083875

deviation 2/5   iterations 1750/2000   F1 0.5982505067995109   accuracy 0.7806818181818181   precision 0.6367127496159755   recall 0.5875736011839164

deviation 2/5   iterations 1760/2000   F1 0.5903424495706222   accuracy 0.7738636363636363   precision 0.6287250384024577   recall 0.5811487093675436

deviation 2/5   iterations 1770/2000   F1 0.5864661654135339   accuracy 0.7636363636363637   precision 0.6311520737327189   recall 0.5787527948110597

deviation 2/5   iterations 1780/2000   F1 0.6322105337918864   accuracy 0.8261363636363637   precision 0.6501689708141322   recall 0.6207700822264389

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deviation 2/5   iterations 1790/2000   F1 0.6363636363636364   accuracy 0.8409090909090909   precision 0.642089093701997   recall 0.631429383347542

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deviation 2/5   iterations 1800/2000   F1 0.6202265167782409   accuracy 0.8136363636363636   precision 0.6430721966205837   recall 0.6080500412989207

deviation 2/5   iterations 1810/2000   F1 0.593222636066399   accuracy 0.7829545454545455   precision 0.6256528417818741   recall 0.5832356484647194

deviation 2/5   iterations 1820/2000   F1 0.589414355567168   accuracy 0.7727272727272727   precision 0.6280798771121352   recall 0.5804261098378746

deviation 2/5   iterations 1830/2000   F1 0.6124812715783988   accuracy 0.8079545454545455   precision 0.6357296466973886   recall 0.6008675799086758

deviation 2/5   iterations 1840/2000   F1 0.6177907145088657   accuracy 0.8056818181818182   precision 0.64678955453149   recall 0.6047108944913917

deviation 2/5   iterations 1850/2000   F1 0.6226755732081602   accuracy 0.8272727272727273   precision 0.6343471582181259   recall 0.6143196243895808

deviation 2/5   iterations 1860/2000   F1 0.5849610678531701   accuracy 0.759090909090909   precision 0.6326881720430108   recall 0.5780307136404697

deviation 2/5   iterations 1870/2000   F1 0.5989663777155371   accuracy 0.7897727272727273   precision 0.6295238095238095   recall 0.5881153023006955

deviation 2/5   iterations 1880/2000   F1 0.6028717948717949   accuracy 0.8   precision 0.6270967741935485   recall 0.592035595105673

deviation 2/5   iterations 1890/2000   F1 0.6102706565610814   accuracy 0.8   precision 0.639447004608295   recall 0.5980269352706917

deviation 2/5   iterations 1900/2000   F1 0.6258792610342429   accuracy 0.825   precision 0.6412903225806452   recall 0.61572606214331

deviation 2/5   iterations 1910/2000   F1 0.6140350877192983   accuracy 0.8181818181818182   precision 0.6291858678955453   recall 0.6045239870743226

deviation 2/5   iterations 1920/2000   F1 0.6104289475523661   accuracy 0.8056818181818182   precision 0.6344393241167434   recall 0.598864950838635

deviation 2/5   iterations 1930/2000   F1 0.6184931718948379   accuracy 0.8090909090909091   precision 0.6446082949308756   recall 0.6057933489764544

deviation 2/5   iterations 1940/2000   F1 0.6058377813444814   accuracy 0.7818181818181819   precision 0.6497081413210446   recall 0.5940072998896528

deviation 2/5   iterations 1950/2000   F1 0.5969311805794114   accuracy 0.7818181818181819   precision 0.6332411674347158   recall 0.5864088811673667

deviation 2/5   iterations 1960/2000   F1 0.6083949181883892   accuracy 0.803409090909091   precision 0.6331490015360983   recall 0.5969106650924833

deviation 2/5   iterations 1970/2000   F1 0.6237069318993896   accuracy 0.8340909090909091   precision 0.629984639016897   recall 0.6184875267444074

deviation 2/5   iterations 1980/2000   F1 0.617710778118794   accuracy 0.825   precision 0.6289400921658986   recall 0.609718605891395

deviation 2/5   iterations 1990/2000   F1 0.6043124091560268   accuracy 0.8045454545454546   precision 0.6255606758832565   recall 0.593808242822648

deviation 2/5   iterations 2000/2000   F1 0.5862252882597742   accuracy 0.7715909090909091   precision 0.6233179723502305   recall 0.577740076229432



deviation 3/5   iterations 10/2000   F1 0.15967758444880079   accuracy 0.1625   precision 0.4915821812596006   recall 0.4846426329477177

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deviation 3/5   iterations 20/2000   F1 0.5585874799357946   accuracy 0.7272727272727273   precision 0.6105069124423963   recall 0.5599823904908651

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deviation 3/5   iterations 30/2000   F1 0.3094817024520257   accuracy 0.32386363636363635   precision 0.5090937019969278   recall 0.5049223073648361

deviation 3/5   iterations 40/2000   F1 0.45578231292517   accuracy 0.5375   precision 0.5768663594470046   recall 0.5323148932652766

deviation 3/5   iterations 50/2000   F1 0.4017137238376176   accuracy 0.45   precision 0.5560061443932411   recall 0.5244533869885982

deviation 3/5   iterations 60/2000   F1 0.39350988748745186   accuracy 0.4375   precision 0.553026113671275   recall 0.5234515967738429

deviation 3/5   iterations 70/2000   F1 0.48363913575033496   accuracy 0.5784090909090909   precision 0.6000921658986176   recall 0.5424581413290519

deviation 3/5   iterations 80/2000   F1 0.5018194193565276   accuracy 0.6068181818181818   precision 0.6121044546850998   recall 0.5483083473223221

deviation 3/5   iterations 90/2000   F1 0.48768028846153844   accuracy 0.5772727272727273   precision 0.6159139784946237   recall 0.5489972001599909

deviation 3/5   iterations 100/2000   F1 0.49547650417215633   accuracy 0.5920454545454545   precision 0.6160675883256528   recall 0.5494243851386709

deviation 3/5   iterations 110/2000   F1 0.41963338219101787   accuracy 0.4738636363636364   precision 0.5736712749615975   recall 0.5316786793768891

deviation 3/5   iterations 120/2000   F1 0.5147627939703932   accuracy 0.6295454545454545   precision 0.616774193548387   recall 0.5513784732172305

deviation 3/5   iterations 130/2000   F1 0.4908304193605193   accuracy 0.5818181818181818   precision 0.6184946236559139   recall 0.5501610042084784

deviation 3/5   iterations 140/2000   F1 0.5677433560866546   accuracy 0.7034090909090909   precision 0.6587096774193548   recall 0.5765850708033872

update

deviation 3/5   iterations 150/2000   F1 0.5608418548207403   accuracy 0.6920454545454545   precision 0.6563748079877112   recall 0.5738606022613824

deviation 3/5   iterations 160/2000   F1 0.4501221052383956   accuracy 0.5170454545454546   precision 0.5981874039938556   recall 0.5414384698365281

deviation 3/5   iterations 170/2000   F1 0.5197269191077241   accuracy 0.625   precision 0.6388940092165898   recall 0.5602250747318446

deviation 3/5   iterations 180/2000   F1 0.5509478436307705   accuracy 0.6806818181818182   precision 0.6458064516129032   recall 0.5679724558307936

deviation 3/5   iterations 190/2000   F1 0.5344963940230343   accuracy 0.6556818181818181   precision 0.6357296466973887   recall 0.5611558990941508

deviation 3/5   iterations 200/2000   F1 0.4884325319107928   accuracy 0.575   precision 0.6228571428571429   recall 0.5518351644363331

deviation 3/5   iterations 210/2000   F1 0.5226635721974706   accuracy 0.6329545454545454   precision 0.6351766513056836   recall 0.5591856060606061

deviation 3/5   iterations 220/2000   F1 0.5080826402911347   accuracy 0.6102272727272727   precision 0.6263901689708141   recall 0.5543478260869565

deviation 3/5   iterations 230/2000   F1 0.5701962670193261   accuracy 0.7045454545454546   precision 0.6634715821812596   recall 0.578735846488035

update

deviation 3/5   iterations 240/2000   F1 0.5269601563402712   accuracy 0.6352272727272728   precision 0.6447004608294931   recall 0.5632370947992524

deviation 3/5   iterations 250/2000   F1 0.5694545454545454   accuracy 0.7056818181818182   precision 0.6599999999999999   recall 0.5775

deviation 3/5   iterations 260/2000   F1 0.5613798924551229   accuracy 0.6886363636363636   precision 0.6626728110599078   recall 0.5759557950183327

deviation 3/5   iterations 270/2000   F1 0.5538316836117706   accuracy 0.678409090909091   precision 0.6568663594470046   recall 0.5722410865874363

deviation 3/5   iterations 280/2000   F1 0.5505082055033201   accuracy 0.6738636363636363   precision 0.6542857142857144   recall 0.5706432445814859

deviation 3/5   iterations 290/2000   F1 0.5399627376673506   accuracy 0.6534090909090909   precision 0.6550230414746544   recall 0.5688606738138388

deviation 3/5   iterations 300/2000   F1 0.5023187422237303   accuracy 0.5965909090909091   precision 0.6309984639016897   recall 0.5557251589160255

deviation 3/5   iterations 310/2000   F1 0.5569848165897793   accuracy 0.6806818181818182   precision 0.662273425499232   recall 0.5747311827956989

deviation 3/5   iterations 320/2000   F1 0.5563366079917029   accuracy 0.6818181818181818   precision 0.6588018433179723   recall 0.573460443064959

deviation 3/5   iterations 330/2000   F1 0.5559346126510305   accuracy 0.6772727272727272   precision 0.6644546850998464   recall 0.5751931451046495

deviation 3/5   iterations 340/2000   F1 0.575938603349965   accuracy 0.7079545454545455   precision 0.6736405529953917   recall 0.5834790622932224

update

deviation 3/5   iterations 350/2000   F1 0.5057110760459483   accuracy 0.6068181818181818   precision 0.6244546850998465   recall 0.5534063523369069

deviation 3/5   iterations 360/2000   F1 0.565618697920394   accuracy 0.6943181818181818   precision 0.6658986175115207   recall 0.5780960755275824

deviation 3/5   iterations 370/2000   F1 0.5517602996254681   accuracy 0.6715909090909091   precision 0.6612288786482334   recall 0.5732142857142857

deviation 3/5   iterations 380/2000   F1 0.5488532407103539   accuracy 0.6715909090909091   precision 0.652995391705069   recall 0.569855911661729

deviation 3/5   iterations 390/2000   F1 0.5553103310352463   accuracy 0.678409090909091   precision 0.6609831029185868   recall 0.5739210906464427

deviation 3/5   iterations 400/2000   F1 0.5492688950632876   accuracy 0.6681818181818182   precision 0.6592933947772658   recall 0.5720495133704999

deviation 3/5   iterations 410/2000   F1 0.5657822517006676   accuracy 0.696590909090909   precision 0.6630721966205837   recall 0.5772877644208368

deviation 3/5   iterations 420/2000   F1 0.49280654062211915   accuracy 0.5829545454545455   precision 0.6232565284178188   recall 0.5521570014144271

deviation 3/5   iterations 430/2000   F1 0.5517602996254681   accuracy 0.6715909090909091   precision 0.6612288786482334   recall 0.5732142857142857

deviation 3/5   iterations 440/2000   F1 0.5746266232835753   accuracy 0.7125   precision 0.6638709677419354   recall 0.5803100383031004

deviation 3/5   iterations 450/2000   F1 0.5465452179570592   accuracy 0.6625   precision 0.660184331797235   recall 0.5718181818181818

deviation 3/5   iterations 460/2000   F1 0.5528073916133618   accuracy 0.675   precision 0.6590476190476191   recall 0.5727208877651355

deviation 3/5   iterations 470/2000   F1 0.529647370842467   accuracy 0.6409090909090909   precision 0.6438095238095238   recall 0.5632735156879389

deviation 3/5   iterations 480/2000   F1 0.56   accuracy 0.6909090909090909   precision 0.6557296466973886   recall 0.5734318412284514

deviation 3/5   iterations 490/2000   F1 0.5774426146918984   accuracy 0.7227272727272728   precision 0.6573271889400922   recall 0.5795982317721449

update

deviation 3/5   iterations 500/2000   F1 0.5722341046082053   accuracy 0.7159090909090909   precision 0.6534562211981567   recall 0.5766221813161528

deviation 3/5   iterations 510/2000   F1 0.5529990842490843   accuracy 0.6772727272727272   precision 0.656221198156682   recall 0.5718386744952221

deviation 3/5   iterations 520/2000   F1 0.5157297482878878   accuracy 0.6193181818181818   precision 0.6356682027649769   recall 0.55859375

deviation 3/5   iterations 530/2000   F1 0.5342493638676844   accuracy 0.6454545454545455   precision 0.6505069124423963   recall 0.5663551401869159

deviation 3/5   iterations 540/2000   F1 0.5690348191036589   accuracy 0.6988636363636364   precision 0.6684792626728111   recall 0.5798504333240145

deviation 3/5   iterations 550/2000   F1 0.5453582230441734   accuracy 0.6647727272727273   precision 0.6532411674347158   recall 0.5692223998578915

deviation 3/5   iterations 560/2000   F1 0.573150863473444   accuracy 0.7022727272727273   precision 0.674531490015361   recall 0.5828622103979603

deviation 3/5   iterations 570/2000   F1 0.5412557082386305   accuracy 0.6590909090909091   precision 0.650015360983103   recall 0.5673409495859972

deviation 3/5   iterations 580/2000   F1 0.5641406636948985   accuracy 0.6863636363636364   precision 0.6737327188940092   recall 0.5801268427048442

deviation 3/5   iterations 590/2000   F1 0.5525929273528415   accuracy 0.6727272727272727   precision 0.6618740399385561   recall 0.5736062450058393

deviation 3/5   iterations 600/2000   F1 0.51875   accuracy 0.6181818181818182   precision 0.647373271889401   recall 0.5633267326732674

deviation 3/5   iterations 610/2000   F1 0.5555004305145862   accuracy 0.6806818181818182   precision 0.6581566820276498   recall 0.573051948051948

deviation 3/5   iterations 620/2000   F1 0.5765871546553831   accuracy 0.7238636363636364   precision 0.6538556067588326   recall 0.5783754006410257

deviation 3/5   iterations 630/2000   F1 0.5696538713561973   accuracy 0.7125   precision 0.651520737327189   recall 0.5751755926251098

deviation 3/5   iterations 640/2000   F1 0.5171829018903686   accuracy 0.6125   precision 0.6523809523809524   recall 0.5651041666666666

deviation 3/5   iterations 650/2000   F1 0.5321869860937911   accuracy 0.6352272727272728   precision 0.6611674347158218   recall 0.5699406983937371

deviation 3/5   iterations 660/2000   F1 0.5544753296878824   accuracy 0.6920454545454545   precision 0.6399078341013824   recall 0.5670163170163169

deviation 3/5   iterations 670/2000   F1 0.5556673585988103   accuracy 0.6829545454545455   precision 0.6553302611367128   recall 0.5721856725146199

deviation 3/5   iterations 680/2000   F1 0.5330047561873554   accuracy 0.6363636363636364   precision 0.6618125960061444   recall 0.5702795168633479

deviation 3/5   iterations 690/2000   F1 0.5341652764766489   accuracy 0.6397727272727273   precision 0.65963133640553   recall 0.5696350458872974

deviation 3/5   iterations 700/2000   F1 0.5584383001645525   accuracy 0.6909090909090909   precision 0.6516129032258065   recall 0.5717334046548948

deviation 3/5   iterations 710/2000   F1 0.5650719801413591   accuracy 0.6977272727272728   precision 0.6596006144393242   recall 0.5760396723634214

deviation 3/5   iterations 720/2000   F1 0.5688119774450711   accuracy 0.7136363636363636   precision 0.6480491551459293   recall 0.5739223807332413

deviation 3/5   iterations 730/2000   F1 0.5300860359135263   accuracy 0.634090909090909   precision 0.6564055299539171   recall 0.5679310841752998

deviation 3/5   iterations 740/2000   F1 0.5299074450858146   accuracy 0.6375   precision 0.6501075268817205   recall 0.5656000945199888

deviation 3/5   iterations 750/2000   F1 0.5550963884553667   accuracy 0.6863636363636364   precision 0.6490322580645161   recall 0.5700400228702115

deviation 3/5   iterations 760/2000   F1 0.5529321803983597   accuracy 0.6693181818181818   precision 0.6681720430107527   recall 0.5757735155367545

deviation 3/5   iterations 770/2000   F1 0.568799931007989   accuracy 0.7159090909090909   precision 0.6452227342549923   recall 0.5731466523065877

deviation 3/5   iterations 780/2000   F1 0.5650601538201895   accuracy 0.7204545454545455   precision 0.631336405529954   recall 0.5680216905657495

deviation 3/5   iterations 790/2000   F1 0.5660383372803144   accuracy 0.7011363636363637   precision 0.6574193548387097   recall 0.5756805936288875

deviation 3/5   iterations 800/2000   F1 0.5611924119241192   accuracy 0.6863636363636364   precision 0.6654992319508448   recall 0.576792587312901

deviation 3/5   iterations 810/2000   F1 0.5470061894864817   accuracy 0.6670454545454545   precision 0.6545314900153609   recall 0.5699870878692759

deviation 3/5   iterations 820/2000   F1 0.5458822815165589   accuracy 0.6715909090909091   precision 0.6447619047619049   recall 0.5664725532683279

deviation 3/5   iterations 830/2000   F1 0.5662398033038561   accuracy 0.7125   precision 0.6432872503840246   recall 0.5716991341991342

deviation 3/5   iterations 840/2000   F1 0.5559298956435255   accuracy 0.6875   precision 0.6496774193548387   recall 0.57046001480933

deviation 3/5   iterations 850/2000   F1 0.5518168463649215   accuracy 0.6659090909090909   precision 0.6703533026113672   recall 0.5762853636658798

deviation 3/5   iterations 860/2000   F1 0.5611605052039188   accuracy 0.7011363636363637   precision 0.6450691244239631   recall 0.5705382537823562

deviation 3/5   iterations 870/2000   F1 0.5569280343716434   accuracy 0.6931818181818182   precision 0.6446697388632873   recall 0.5691722829056766

deviation 3/5   iterations 880/2000   F1 0.5550974865136707   accuracy 0.6761363636363636   precision 0.6638095238095238   recall 0.5747935182691445

deviation 3/5   iterations 890/2000   F1 0.556110481385371   accuracy 0.7011363636363637   precision 0.6327188940092165   recall 0.5653057275541795

deviation 3/5   iterations 900/2000   F1 0.5347205407836025   accuracy 0.6352272727272728   precision 0.6694009216589862   recall 0.5732761370160107

deviation 3/5   iterations 910/2000   F1 0.5459960132389263   accuracy 0.6579545454545455   precision 0.6658371735791091   recall 0.57366427214568

deviation 3/5   iterations 920/2000   F1 0.5679052515129823   accuracy 0.7170454545454545   precision 0.6417511520737327   recall 0.5718799072758544

deviation 3/5   iterations 930/2000   F1 0.5686927693080117   accuracy 0.7204545454545455   precision 0.6395698924731184   recall 0.5715969766313016

deviation 3/5   iterations 940/2000   F1 0.5495194146857114   accuracy 0.6852272727272727   precision 0.636036866359447   recall 0.5644744199049483

deviation 3/5   iterations 950/2000   F1 0.5399627376673506   accuracy 0.6534090909090909   precision 0.6550230414746544   recall 0.5688606738138388

deviation 3/5   iterations 960/2000   F1 0.5256686463239811   accuracy 0.6261363636363636   precision 0.6560061443932412   recall 0.5672760996290408

deviation 3/5   iterations 970/2000   F1 0.5620180858965229   accuracy 0.7045454545454546   precision 0.6428878648233487   recall 0.5701673395248354

deviation 3/5   iterations 980/2000   F1 0.5713758920630789   accuracy 0.7193181818181819   precision 0.6471582181259601   recall 0.5746217502928787

deviation 3/5   iterations 990/2000   F1 0.5539996284532654   accuracy 0.6806818181818182   precision 0.6540399385560676   recall 0.5713659447518845

deviation 3/5   iterations 1000/2000   F1 0.5679052515129823   accuracy 0.7170454545454545   precision 0.6417511520737327   recall 0.5718799072758544

deviation 3/5   iterations 1010/2000   F1 0.5941552511415524   accuracy 0.7704545454545455   precision 0.6391397849462366   recall 0.5847651132322665

update

deviation 3/5   iterations 1020/2000   F1 0.5757058950103204   accuracy 0.725   precision 0.6503840245775729   recall 0.5771444421330005

deviation 3/5   iterations 1030/2000   F1 0.5534332194281375   accuracy 0.6840909090909091   precision 0.6477419354838709   recall 0.5692065922553089

deviation 3/5   iterations 1040/2000   F1 0.5610513395817881   accuracy 0.696590909090909   precision 0.6507219662058372   recall 0.5721963221963222

deviation 3/5   iterations 1050/2000   F1 0.5792045390618094   accuracy 0.7295454545454545   precision 0.6529646697388634   recall 0.5792233911875713

deviation 3/5   iterations 1060/2000   F1 0.5628108689426219   accuracy 0.7102272727272727   precision 0.6378801843317972   recall 0.5689935064935064

deviation 3/5   iterations 1070/2000   F1 0.5705122245979363   accuracy 0.7136363636363636   precision 0.6521658986175115   recall 0.5756548197298239

deviation 3/5   iterations 1080/2000   F1 0.5651880965749578   accuracy 0.7   precision 0.6567741935483871   recall 0.5752321981424149

deviation 3/5   iterations 1090/2000   F1 0.55483288166215   accuracy 0.6818181818181818   precision 0.6546850998463902   recall 0.5717747683535281

deviation 3/5   iterations 1100/2000   F1 0.5626462359767027   accuracy 0.696590909090909   precision 0.6548387096774193   recall 0.573902027027027

deviation 3/5   iterations 1110/2000   F1 0.5687604233356256   accuracy 0.7181818181818181   precision 0.6423963133640553   recall 0.5723716671559106

deviation 3/5   iterations 1120/2000   F1 0.5654019183430948   accuracy 0.7090909090909091   precision 0.645468509984639   recall 0.5720222196533199

deviation 3/5   iterations 1130/2000   F1 0.5336942057654397   accuracy 0.6465909090909091   precision 0.6470353302611367   recall 0.5650285875779908

deviation 3/5   iterations 1140/2000   F1 0.5394868720053786   accuracy 0.6647727272727273   precision 0.636774193548387   recall 0.5624495017506059

deviation 3/5   iterations 1150/2000   F1 0.572997014120011   accuracy 0.7261363636363637   precision 0.6427956989247312   recall 0.5741374030216415

deviation 3/5   iterations 1160/2000   F1 0.5801093572681316   accuracy 0.7477272727272727   precision 0.6344700460829493   recall 0.5755911549540961

deviation 3/5   iterations 1170/2000   F1 0.5628051948051949   accuracy 0.7011363636363637   precision 0.6491858678955453   recall 0.5722619047619047

deviation 3/5   iterations 1180/2000   F1 0.5809659090909092   accuracy 0.7318181818181818   precision 0.6542549923195085   recall 0.5802841043549449

deviation 3/5   iterations 1190/2000   F1 0.5791057222980762   accuracy 0.7340909090909091   precision 0.6473118279569892   recall 0.57784141455464

deviation 3/5   iterations 1200/2000   F1 0.56641702798581   accuracy 0.7272727272727273   precision 0.6269738863287251   recall 0.5674449572125144

deviation 3/5   iterations 1210/2000   F1 0.5583203276694583   accuracy 0.6886363636363636   precision 0.6544393241167434   recall 0.5725811574868178

deviation 3/5   iterations 1220/2000   F1 0.558545595955668   accuracy 0.7068181818181818   precision 0.6318279569892473   recall 0.5658229789845068

deviation 3/5   iterations 1230/2000   F1 0.5985767721923183   accuracy 0.7784090909090909   precision 0.6395391705069124   recall 0.5879659756437668

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deviation 3/5   iterations 1240/2000   F1 0.5959356291536222   accuracy 0.7625   precision 0.6510906298003072   recall 0.5873845060412224

deviation 3/5   iterations 1250/2000   F1 0.583176684742321   accuracy 0.7465909090909091   precision 0.6420583717357911   recall 0.5786694250871081

deviation 3/5   iterations 1260/2000   F1 0.5694534208761938   accuracy 0.7238636363636364   precision 0.6373886328725038   recall 0.5713301347488771

deviation 3/5   iterations 1270/2000   F1 0.5748465326131754   accuracy 0.7215909090909091   precision 0.6525652841781875   recall 0.5773635933099031

deviation 3/5   iterations 1280/2000   F1 0.5748301648374218   accuracy 0.7193181818181819   precision 0.6553917050691245   recall 0.5780960498036019

deviation 3/5   iterations 1290/2000   F1 0.5752294875956026   accuracy 0.7363636363636363   precision 0.6362519201228878   recall 0.5735484341729077

deviation 3/5   iterations 1300/2000   F1 0.6112583617316673   accuracy 0.7931818181818182   precision 0.647926267281106   recall 0.5984171497248816

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deviation 3/5   iterations 1310/2000   F1 0.6150136713895104   accuracy 0.8   precision 0.6476804915514593   recall 0.6018648018648018

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deviation 3/5   iterations 1320/2000   F1 0.6037234678982507   accuracy 0.7647727272727273   precision 0.664731182795699   recall 0.5940543347085403

deviation 3/5   iterations 1330/2000   F1 0.6002870665612878   accuracy 0.7727272727272727   precision 0.6486635944700461   recall 0.5899101455953505

deviation 3/5   iterations 1340/2000   F1 0.5951388888888889   accuracy 0.759090909090909   precision 0.6532718894009216   recall 0.587235530687183

deviation 3/5   iterations 1350/2000   F1 0.5919903781709344   accuracy 0.7704545454545455   precision 0.6350230414746544   recall 0.5828676154490124

deviation 3/5   iterations 1360/2000   F1 0.5785040782090589   accuracy 0.7647727272727273   precision 0.6153302611367127   recall 0.5715865751334859

deviation 3/5   iterations 1370/2000   F1 0.5953603976801988   accuracy 0.7477272727272727   precision 0.6674039938556068   recall 0.5898730001649348

deviation 3/5   iterations 1380/2000   F1 0.5730976720263249   accuracy 0.7170454545454545   precision 0.6541013824884793   recall 0.5771103896103896

deviation 3/5   iterations 1390/2000   F1 0.5952405516008116   accuracy 0.7568181818181818   precision 0.6560983102918587   recall 0.5877492936535897

deviation 3/5   iterations 1400/2000   F1 0.5959797799583706   accuracy 0.7806818181818181   precision 0.6325960061443933   recall 0.5856349206349206

deviation 3/5   iterations 1410/2000   F1 0.5974536645822771   accuracy 0.7693181818181818   precision 0.6467281105990783   recall 0.5877941176470588

deviation 3/5   iterations 1420/2000   F1 0.5876889553456737   accuracy 0.7625   precision 0.6346236559139785   recall 0.5799891936096264

deviation 3/5   iterations 1430/2000   F1 0.5853084991228398   accuracy 0.7704545454545455   precision 0.6226728110599078   recall 0.57703081232493

deviation 3/5   iterations 1440/2000   F1 0.579078358934474   accuracy 0.7204545454545455   precision 0.6642703533026113   recall 0.5820217824819758

deviation 3/5   iterations 1450/2000   F1 0.601731924900153   accuracy 0.7795454545454545   precision 0.6443010752688172   recall 0.5906120023767083

deviation 3/5   iterations 1460/2000   F1 0.5866489269393186   accuracy 0.7693181818181818   precision 0.6261443932411674   recall 0.5782990083905416

deviation 3/5   iterations 1470/2000   F1 0.5900298292600532   accuracy 0.7602272727272728   precision 0.6415668202764977   recall 0.5824175824175823

deviation 3/5   iterations 1480/2000   F1 0.6048679280339393   accuracy 0.8022727272727272   precision 0.6283870967741936   recall 0.5939261536801791

deviation 3/5   iterations 1490/2000   F1 0.6017415337404011   accuracy 0.7875   precision 0.6364669738863287   recall 0.590399205496402

deviation 3/5   iterations 1500/2000   F1 0.5912737508796622   accuracy 0.775   precision 0.6293701996927803   recall 0.5818782811588568

deviation 3/5   iterations 1510/2000   F1 0.5803242948630604   accuracy 0.7454545454545455   precision 0.6372964669738863   recall 0.5762570728477725

deviation 3/5   iterations 1520/2000   F1 0.5915656083935141   accuracy 0.7522727272727273   precision 0.6535176651305683   recall 0.5852666352697067

deviation 3/5   iterations 1530/2000   F1 0.5770967862341831   accuracy 0.7659090909090909   precision 0.6118586789554532   recall 0.5702402172990408

deviation 3/5   iterations 1540/2000   F1 0.5865941864266245   accuracy 0.7534090909090909   precision 0.6418125960061444   recall 0.5804607318161535

deviation 3/5   iterations 1550/2000   F1 0.586143856077684   accuracy 0.7579545454545454   precision 0.6361597542242703   recall 0.5792696886446886

deviation 3/5   iterations 1560/2000   F1 0.5935202120114964   accuracy 0.775   precision 0.6334869431643625   recall 0.5838214073508191

deviation 3/5   iterations 1570/2000   F1 0.5771301446051168   accuracy 0.7545454545454545   precision 0.6218740399385561   recall 0.5716711833785004

deviation 3/5   iterations 1580/2000   F1 0.593512967754149   accuracy 0.7920454545454545   precision 0.6184639016897081   recall 0.5836805555555555

deviation 3/5   iterations 1590/2000   F1 0.6020454308275646   accuracy 0.8079545454545455   precision 0.61926267281106   recall 0.5926084965075002

deviation 3/5   iterations 1600/2000   F1 0.5960173694469322   accuracy 0.7920454545454545   precision 0.6225806451612903   recall 0.585757763334365

deviation 3/5   iterations 1610/2000   F1 0.593222636066399   accuracy 0.7829545454545455   precision 0.6256528417818741   recall 0.5832356484647194

deviation 3/5   iterations 1620/2000   F1 0.5783269009072227   accuracy 0.7284090909090909   precision 0.6523195084485407   recall 0.5786984126984127

deviation 3/5   iterations 1630/2000   F1 0.5824340099604437   accuracy 0.7431818181818182   precision 0.6442396313364055   recall 0.5787334232185619

deviation 3/5   iterations 1640/2000   F1 0.589414355567168   accuracy 0.7727272727272727   precision 0.6280798771121352   recall 0.5804261098378746

deviation 3/5   iterations 1650/2000   F1 0.5868912080961417   accuracy 0.7840909090909091   precision 0.61394777265745   recall 0.5778737056042194

deviation 3/5   iterations 1660/2000   F1 0.5812315599124394   accuracy 0.7897727272727273   precision 0.6007066052227342   recall 0.5732979142070052

deviation 3/5   iterations 1670/2000   F1 0.6109637488947834   accuracy 0.8090909090909091   precision 0.6322580645161291   recall 0.599883063730267

deviation 3/5   iterations 1680/2000   F1 0.6130331125827815   accuracy 0.8113636363636364   precision 0.6335483870967742   recall 0.6019704433497537

deviation 3/5   iterations 1690/2000   F1 0.5902953804769542   accuracy 0.7852272727272728   precision 0.6187096774193548   recall 0.5807584269662922

deviation 3/5   iterations 1700/2000   F1 0.6053201004010271   accuracy 0.8056818181818182   precision 0.6262058371735791   recall 0.594797666518978

deviation 3/5   iterations 1710/2000   F1 0.6023979302076103   accuracy 0.7965909090909091   precision 0.6292780337941628   recall 0.5913194444444444

deviation 3/5   iterations 1720/2000   F1 0.5957740009186954   accuracy 0.7647727272727273   precision 0.6482642089093702   recall 0.5868960848146121

deviation 3/5   iterations 1730/2000   F1 0.6195417207090359   accuracy 0.8102272727272727   precision 0.6452534562211981   recall 0.6068175245806824

update

deviation 3/5   iterations 1740/2000   F1 0.5983589743589743   accuracy 0.7977272727272727   precision 0.6216897081413211   recall 0.5881201334816463

deviation 3/5   iterations 1750/2000   F1 0.5998065442890863   accuracy 0.7852272727272728   precision 0.6351766513056836   recall 0.5887784090909091

deviation 3/5   iterations 1760/2000   F1 0.584790294537769   accuracy 0.7511363636363636   precision 0.6405222734254992   recall 0.579235843565509

deviation 3/5   iterations 1770/2000   F1 0.6014131714829242   accuracy 0.7954545454545454   precision 0.6286328725038403   recall 0.5904249345623235

deviation 3/5   iterations 1780/2000   F1 0.6052726141767797   accuracy 0.7943181818181818   precision 0.636221198156682   recall 0.5935253619520097

deviation 3/5   iterations 1790/2000   F1 0.614602707729573   accuracy 0.8159090909090909   precision 0.6320122887864823   recall 0.6042971290983408

deviation 3/5   iterations 1800/2000   F1 0.6241186902547688   accuracy 0.8204545454545454   precision 0.642826420890937   recall 0.6128409013679744

update

deviation 3/5   iterations 1810/2000   F1 0.59114975980925   accuracy 0.759090909090909   precision 0.6450384024577573   recall 0.5836113885760029

deviation 3/5   iterations 1820/2000   F1 0.5965493570315152   accuracy 0.7897727272727273   precision 0.6254070660522273   recall 0.5861007053423779

deviation 3/5   iterations 1830/2000   F1 0.6098447164669752   accuracy 0.8136363636363636   precision 0.626605222734255   recall 0.6000252429635239

deviation 3/5   iterations 1840/2000   F1 0.6010411332991978   accuracy 0.8068181818181818   precision 0.6186175115207373   recall 0.5915875169606513

deviation 3/5   iterations 1850/2000   F1 0.5979554489808797   accuracy 0.7943181818181818   precision 0.6238709677419355   recall 0.5875

deviation 3/5   iterations 1860/2000   F1 0.6017415337404011   accuracy 0.7875   precision 0.6364669738863287   recall 0.590399205496402

deviation 3/5   iterations 1870/2000   F1 0.6023224057136682   accuracy 0.7909090909090909   precision 0.6342857142857142   recall 0.590942001847552

deviation 3/5   iterations 1880/2000   F1 0.5969844289438455   accuracy 0.7931818181818182   precision 0.623225806451613   recall 0.5866239342081393

deviation 3/5   iterations 1890/2000   F1 0.6125055041831792   accuracy 0.8136363636363636   precision 0.6307219662058372   recall 0.6020883117880209

deviation 3/5   iterations 1900/2000   F1 0.6104289475523661   accuracy 0.8056818181818182   precision 0.6344393241167434   recall 0.598864950838635

deviation 3/5   iterations 1910/2000   F1 0.6061197916666666   accuracy 0.825   precision 0.6124731182795699   recall 0.6010667078920925

deviation 3/5   iterations 1920/2000   F1 0.6093972182575437   accuracy 0.8102272727272727   precision 0.6287864823348694   recall 0.5988828502415459

deviation 3/5   iterations 1930/2000   F1 0.618100761431333   accuracy 0.8375   precision 0.6195698924731182   recall 0.6167002494722702

deviation 3/5   iterations 1940/2000   F1 0.6174482350160905   accuracy 0.8306818181818182   precision 0.6239324116743472   recall 0.6121602384447706

deviation 3/5   iterations 1950/2000   F1 0.6208835169422361   accuracy 0.8170454545454545   precision 0.6408909370199694   recall 0.6094030306500248

deviation 3/5   iterations 1960/2000   F1 0.6109637488947834   accuracy 0.8090909090909091   precision 0.6322580645161291   recall 0.599883063730267

deviation 3/5   iterations 1970/2000   F1 0.6119960185764564   accuracy 0.8102272727272727   precision 0.6329032258064516   recall 0.6009200851032063

deviation 3/5   iterations 1980/2000   F1 0.6078952511237052   accuracy 0.8056818181818182   precision 0.6303225806451613   recall 0.5968493150684931

deviation 3/5   iterations 1990/2000   F1 0.6198920147769252   accuracy 0.8272727272727273   precision 0.6302304147465438   recall 0.6122913907284768

deviation 3/5   iterations 2000/2000   F1 0.5821081269489261   accuracy 0.7693181818181818   precision 0.617910906298003   recall 0.5743314430913204



deviation 4/5   iterations 10/2000   F1 0.5776174403121419   accuracy 0.7886363636363637   precision 0.5959447004608295   recall 0.5701917630876284

update

deviation 4/5   iterations 20/2000   F1 0.46753013131858256   accuracy 0.5375   precision 0.6221505376344085   recall 0.5514109566368752

deviation 4/5   iterations 30/2000   F1 0.5232879053274662   accuracy 0.6397727272727273   precision 0.6266973886328726   recall 0.5561546840958606

deviation 4/5   iterations 40/2000   F1 0.46753013131858256   accuracy 0.5375   precision 0.6221505376344085   recall 0.5514109566368752

deviation 4/5   iterations 50/2000   F1 0.48359235093156866   accuracy 0.5602272727272727   precision 0.6350537634408602   recall 0.5567712207620464

deviation 4/5   iterations 60/2000   F1 0.5135340945116462   accuracy 0.6056818181818182   precision 0.6526267281105991   recall 0.5649255603880896

deviation 4/5   iterations 70/2000   F1 0.5338328983188796   accuracy 0.6568181818181819   precision 0.6322580645161291   recall 0.5598212449488914

deviation 4/5   iterations 80/2000   F1 0.51875   accuracy 0.6181818181818182   precision 0.647373271889401   recall 0.5633267326732674

deviation 4/5   iterations 90/2000   F1 0.523266626238124   accuracy 0.6193181818181818   precision 0.6603686635944701   recall 0.5686842105263158

deviation 4/5   iterations 100/2000   F1 0.5252925770739523   accuracy 0.6238636363636364   precision 0.6588325652841782   recall 0.5682980702162288

deviation 4/5   iterations 110/2000   F1 0.5393989081220071   accuracy 0.6488636363636363   precision 0.6606758832565285   recall 0.5707659500768548

deviation 4/5   iterations 120/2000   F1 0.5236622332199196   accuracy 0.6181818181818182   precision 0.6638402457757296   recall 0.5700416598809568

deviation 4/5   iterations 130/2000   F1 0.51434258881176   accuracy 0.6068181818181818   precision 0.6532718894009217   recall 0.5652330817629799

deviation 4/5   iterations 140/2000   F1 0.5349832775919733   accuracy 0.6409090909090909   precision 0.6602764976958526   recall 0.569979879275654

deviation 4/5   iterations 150/2000   F1 0.5529321803983597   accuracy 0.6693181818181818   precision 0.6681720430107527   recall 0.5757735155367545

deviation 4/5   iterations 160/2000   F1 0.5479381684023724   accuracy 0.6625   precision 0.6643010752688172   recall 0.5734873801776449

deviation 4/5   iterations 170/2000   F1 0.5470228781986922   accuracy 0.6556818181818181   precision 0.6727803379416282   recall 0.576253904894134

deviation 4/5   iterations 180/2000   F1 0.5310032635014212   accuracy 0.6318181818181818   precision 0.6633486943164363   recall 0.570603013740831

deviation 4/5   iterations 190/2000   F1 0.5171397216865045   accuracy 0.615909090909091   precision 0.6460829493087558   recall 0.5626875352658585

deviation 4/5   iterations 200/2000   F1 0.5364176712813729   accuracy 0.6465909090909091   precision 0.6552688172043011   recall 0.5683845337836375

deviation 4/5   iterations 210/2000   F1 0.5633756924079505   accuracy 0.6954545454545454   precision 0.658310291858679   recall 0.5751608819187977

deviation 4/5   iterations 220/2000   F1 0.5105281877165138   accuracy 0.5965909090909091   precision 0.6598156682027649   recall 0.5675781006422648

deviation 4/5   iterations 230/2000   F1 0.48464887391783984   accuracy 0.5602272727272727   precision 0.6391705069124425   recall 0.5584981094650716

deviation 4/5   iterations 240/2000   F1 0.5683421156290179   accuracy 0.7   precision 0.6650076804915515   recall 0.578615799858313

deviation 4/5   iterations 250/2000   F1 0.547831717943845   accuracy 0.6681818181818182   precision 0.6551766513056836   recall 0.5703721041691048

deviation 4/5   iterations 260/2000   F1 0.5440697987689884   accuracy 0.6590909090909091   precision 0.6582488479262673   recall 0.5706968394354135

deviation 4/5   iterations 270/2000   F1 0.5317156236696466   accuracy 0.6363636363636364   precision 0.6576958525345622   recall 0.5686086858890392

deviation 4/5   iterations 280/2000   F1 0.5342806488317324   accuracy 0.6363636363636364   precision 0.6659293394777266   recall 0.5719477170154152

deviation 4/5   iterations 290/2000   F1 0.5742033593695998   accuracy 0.7056818181818182   precision 0.6723502304147466   recall 0.5825563325563325

deviation 4/5   iterations 300/2000   F1 0.5523560944121692   accuracy 0.6704545454545454   precision 0.6647004608294931   recall 0.5744951670548215

deviation 4/5   iterations 310/2000   F1 0.49135733364160167   accuracy 0.5681818181818182   precision 0.6478033794162826   recall 0.5621412444265336

deviation 4/5   iterations 320/2000   F1 0.5479769272872721   accuracy 0.6534090909090909   precision 0.6797235023041475   recall 0.5788409703504043

deviation 4/5   iterations 330/2000   F1 0.5500982974080757   accuracy 0.6693181818181818   precision 0.6599385560675883   recall 0.5724359402480019

deviation 4/5   iterations 340/2000   F1 0.5451373237659483   accuracy 0.6625   precision 0.6560675883256528   recall 0.5701440438317427

deviation 4/5   iterations 350/2000   F1 0.5540258039994088   accuracy 0.6727272727272727   precision 0.6659907834101382   recall 0.5752762777322655

deviation 4/5   iterations 360/2000   F1 0.5540258039994088   accuracy 0.6727272727272727   precision 0.6659907834101382   recall 0.5752762777322655

deviation 4/5   iterations 370/2000   F1 0.5586641285180411   accuracy 0.6829545454545455   precision 0.6635637480798771   recall 0.5755494505494505

deviation 4/5   iterations 380/2000   F1 0.5318507300961495   accuracy 0.6295454545454545   precision 0.6702918586789555   recall 0.5732770700805347

deviation 4/5   iterations 390/2000   F1 0.5425244333541277   accuracy 0.6477272727272727   precision 0.6723809523809524   recall 0.5754040993167805

deviation 4/5   iterations 400/2000   F1 0.5482003720907568   accuracy 0.6647727272727273   precision 0.6614746543778802   recall 0.5725742311770944

deviation 4/5   iterations 410/2000   F1 0.5367459625524141   accuracy 0.6397727272727273   precision 0.6678648233486943   recall 0.5729700854700854

deviation 4/5   iterations 420/2000   F1 0.5573400451449233   accuracy 0.6852272727272727   precision 0.656620583717358   recall 0.5730138179151676

deviation 4/5   iterations 430/2000   F1 0.505955334987593   accuracy 0.5886363636363636   precision 0.6594162826420891   recall 0.5672237336442545

deviation 4/5   iterations 440/2000   F1 0.5108393551973318   accuracy 0.5954545454545455   precision 0.6632872503840246   recall 0.5689761678580142

deviation 4/5   iterations 450/2000   F1 0.5592948717948718   accuracy 0.6818181818181818   precision 0.6670353302611367   recall 0.5768115778231115

deviation 4/5   iterations 460/2000   F1 0.5717761557177616   accuracy 0.7045454545454546   precision 0.6675883256528419   recall 0.580421642341147

deviation 4/5   iterations 470/2000   F1 0.5549766792062926   accuracy 0.6840909090909091   precision 0.6518586789554532   recall 0.5709064201653671

deviation 4/5   iterations 480/2000   F1 0.5433530768081065   accuracy 0.6488636363636363   precision 0.673026113671275   recall 0.5757575757575758

deviation 4/5   iterations 490/2000   F1 0.5490294511378848   accuracy 0.6659090909090909   precision 0.6621198156682028   recall 0.5729548584037029

deviation 4/5   iterations 500/2000   F1 0.5550963884553667   accuracy 0.6863636363636364   precision 0.6490322580645161   recall 0.5700400228702115

deviation 4/5   iterations 510/2000   F1 0.5440697987689884   accuracy 0.6590909090909091   precision 0.6582488479262673   recall 0.5706968394354135

deviation 4/5   iterations 520/2000   F1 0.5592771168946852   accuracy 0.6920454545454545   precision 0.652258064516129   recall 0.5721624266144815

deviation 4/5   iterations 530/2000   F1 0.5713874941073604   accuracy 0.7170454545454545   precision 0.6499846390168971   recall 0.5753785913683638

deviation 4/5   iterations 540/2000   F1 0.5731133696666175   accuracy 0.7193181818181819   precision 0.6512749615975422   recall 0.5763647642679901

deviation 4/5   iterations 550/2000   F1 0.5662372384640317   accuracy 0.7079545454545455   precision 0.6489400921658985   recall 0.5732875386996904

deviation 4/5   iterations 560/2000   F1 0.5590618336886993   accuracy 0.6795454545454546   precision 0.6698617511520737   recall 0.5776654024441634

deviation 4/5   iterations 570/2000   F1 0.5208268893700382   accuracy 0.615909090909091   precision 0.6584331797235023   recall 0.5677301406349323

deviation 4/5   iterations 580/2000   F1 0.4751877098503689   accuracy 0.5454545454545454   precision 0.6349001536098311   recall 0.5567515031199757

deviation 4/5   iterations 590/2000   F1 0.5538316836117706   accuracy 0.678409090909091   precision 0.6568663594470046   recall 0.5722410865874363

deviation 4/5   iterations 600/2000   F1 0.5870292156206662   accuracy 0.7465909090909091   precision 0.6502918586789554   recall 0.5822704768055107

update

deviation 4/5   iterations 610/2000   F1 0.5781083032490975   accuracy 0.7170454545454545   precision 0.6664516129032259   recall 0.58224043715847

deviation 4/5   iterations 620/2000   F1 0.5171397216865045   accuracy 0.615909090909091   precision 0.6460829493087558   recall 0.5626875352658585

deviation 4/5   iterations 630/2000   F1 0.5620377190490066   accuracy 0.6875   precision 0.6661443932411675   recall 0.5772112573099415

deviation 4/5   iterations 640/2000   F1 0.583627793851463   accuracy 0.7329545454545454   precision 0.6590168970814132   recall 0.5825592078399346

deviation 4/5   iterations 650/2000   F1 0.566634082763115   accuracy 0.6977272727272728   precision 0.6637173579109064   recall 0.5777279914118519

deviation 4/5   iterations 660/2000   F1 0.581496991576414   accuracy 0.7193181818181819   precision 0.6718586789554533   recall 0.5849119611414693

deviation 4/5   iterations 670/2000   F1 0.5684821261463597   accuracy 0.7022727272727273   precision 0.6621812596006145   recall 0.577826920241781

deviation 4/5   iterations 680/2000   F1 0.5457191163834918   accuracy 0.6613636363636364   precision 0.6595391705069125   recall 0.5714427220048537

deviation 4/5   iterations 690/2000   F1 0.5653462412328362   accuracy 0.7045454545454546   precision 0.6511213517665131   recall 0.5736240578096281

deviation 4/5   iterations 700/2000   F1 0.5496801705756931   accuracy 0.6727272727272727   precision 0.6536405529953917   recall 0.5702486304256216

deviation 4/5   iterations 710/2000   F1 0.568639241947975   accuracy 0.6943181818181818   precision 0.6741321044546851   recall 0.5814367816091954

deviation 4/5   iterations 720/2000   F1 0.5755399539096414   accuracy 0.7034090909090909   precision 0.6792933947772657   recall 0.5849757711303699

deviation 4/5   iterations 730/2000   F1 0.5609822627071803   accuracy 0.6840909090909091   precision 0.6683256528417819   recall 0.577633062984941

deviation 4/5   iterations 740/2000   F1 0.5800720340409354   accuracy 0.7261363636363637   precision 0.6592626728110599   recall 0.5811298076923077

deviation 4/5   iterations 750/2000   F1 0.5650719801413591   accuracy 0.6977272727272728   precision 0.6596006144393242   recall 0.5760396723634214

deviation 4/5   iterations 760/2000   F1 0.5484733514001807   accuracy 0.6772727272727272   precision 0.6438709677419354   recall 0.5667569493941554

deviation 4/5   iterations 770/2000   F1 0.573920857736048   accuracy 0.7159090909090909   precision 0.6575729646697389   recall 0.5783431395910088

deviation 4/5   iterations 780/2000   F1 0.5686897316848912   accuracy 0.7068181818181818   precision 0.6565284178187404   recall 0.5762582993576043

deviation 4/5   iterations 790/2000   F1 0.5331564986737399   accuracy 0.6420454545454546   precision 0.6526881720430107   recall 0.5669811320754717

deviation 4/5   iterations 800/2000   F1 0.51268167569108   accuracy 0.6113636363636363   precision 0.6393855606758833   recall 0.5597354104455996

deviation 4/5   iterations 810/2000   F1 0.5388056061478749   accuracy 0.6556818181818181   precision 0.6480798771121352   recall 0.566232081611116

deviation 4/5   iterations 820/2000   F1 0.5670518593154696   accuracy 0.7159090909090909   precision 0.6411059907834101   recall 0.5713912670434409

deviation 4/5   iterations 830/2000   F1 0.572997014120011   accuracy 0.7261363636363637   precision 0.6427956989247312   recall 0.5741374030216415

deviation 4/5   iterations 840/2000   F1 0.5527348956924841   accuracy 0.6988636363636364   precision 0.6273118279569893   recall 0.5626451238390093

deviation 4/5   iterations 850/2000   F1 0.558545595955668   accuracy 0.7068181818181818   precision 0.6318279569892473   recall 0.5658229789845068

deviation 4/5   iterations 860/2000   F1 0.5594805194805195   accuracy 0.6988636363636364   precision 0.6437788018433179   recall 0.5696428571428571

deviation 4/5   iterations 870/2000   F1 0.5495064935064935   accuracy 0.6920454545454545   precision 0.6275576036866359   recall 0.5617857142857143

deviation 4/5   iterations 880/2000   F1 0.5568776920454899   accuracy 0.7045454545454546   precision 0.6305376344086022   recall 0.5649015402850841

deviation 4/5   iterations 890/2000   F1 0.5703125   accuracy 0.725   precision 0.6380337941628265   recall 0.5718415616145723

deviation 4/5   iterations 900/2000   F1 0.5739525876376059   accuracy 0.7397727272727272   precision 0.6299539170506913   recall 0.5715474547373549

deviation 4/5   iterations 910/2000   F1 0.5487179487179488   accuracy 0.6886363636363636   precision 0.6297388632872505   recall 0.5622585876455846

deviation 4/5   iterations 920/2000   F1 0.5667613636363635   accuracy 0.7227272727272728   precision 0.6326267281105991   recall 0.5690273807011148

deviation 4/5   iterations 930/2000   F1 0.5713309265944645   accuracy 0.7125   precision 0.6556374807987712   recall 0.5768973891924711

deviation 4/5   iterations 940/2000   F1 0.5568589116976214   accuracy 0.6909090909090909   precision 0.6474961597542243   recall 0.5700266629326892

deviation 4/5   iterations 950/2000   F1 0.5652826848141386   accuracy 0.7159090909090909   precision 0.6369892473118279   recall 0.5696235736457833

deviation 4/5   iterations 960/2000   F1 0.5544753296878824   accuracy 0.6920454545454545   precision 0.6399078341013824   recall 0.5670163170163169

deviation 4/5   iterations 970/2000   F1 0.5551915229598802   accuracy 0.6886363636363636   precision 0.646205837173579   recall 0.5691751312568681

deviation 4/5   iterations 980/2000   F1 0.5696173958842783   accuracy 0.7193181818181819   precision 0.6430414746543779   recall 0.5728665865384616

deviation 4/5   iterations 990/2000   F1 0.5627436539500172   accuracy 0.7125   precision 0.6350537634408602   recall 0.5681761786600497

deviation 4/5   iterations 1000/2000   F1 0.5615240575097845   accuracy 0.7181818181818181   precision 0.6259293394777266   recall 0.5652212654102942

deviation 4/5   iterations 1010/2000   F1 0.5652796947002436   accuracy 0.7022727272727273   precision 0.6539477726574501   recall 0.5744271294387443

deviation 4/5   iterations 1020/2000   F1 0.554387484957882   accuracy 0.7011363636363637   precision 0.6286021505376345   recall 0.5635397692774742

deviation 4/5   iterations 1030/2000   F1 0.5687632806521099   accuracy 0.7329545454545454   precision 0.6260829493087557   recall 0.5682471264367815

deviation 4/5   iterations 1040/2000   F1 0.562522086525273   accuracy 0.7170454545454545   precision 0.6294009216589862   recall 0.5665377616014559

deviation 4/5   iterations 1050/2000   F1 0.5355591921166911   accuracy 0.6613636363636364   precision 0.6307219662058372   recall 0.5596035210202217

deviation 4/5   iterations 1060/2000   F1 0.5494706941256131   accuracy 0.6829545454545455   precision 0.6388632872503841   recall 0.5653693076638282

deviation 4/5   iterations 1070/2000   F1 0.51084099813425   accuracy 0.6238636363636364   precision 0.6135483870967742   recall 0.5497159090909091

deviation 4/5   iterations 1080/2000   F1 0.5670914542728636   accuracy 0.7136363636363636   precision 0.6439324116743472   recall 0.5721786394364983

deviation 4/5   iterations 1090/2000   F1 0.568799931007989   accuracy 0.7159090909090909   precision 0.6452227342549923   recall 0.5731466523065877

deviation 4/5   iterations 1100/2000   F1 0.5628499799942399   accuracy 0.7079545454545455   precision 0.6407066052227343   recall 0.5698102624134231

deviation 4/5   iterations 1110/2000   F1 0.5551234687925335   accuracy 0.7045454545454546   precision 0.6264208909370199   recall 0.5631231784015953

deviation 4/5   iterations 1120/2000   F1 0.5652826848141386   accuracy 0.7159090909090909   precision 0.6369892473118279   recall 0.5696235736457833

deviation 4/5   iterations 1130/2000   F1 0.5300462656972901   accuracy 0.6556818181818181   precision 0.623379416282642   recall 0.5560267857142857

deviation 4/5   iterations 1140/2000   F1 0.5250371172525818   accuracy 0.6443181818181818   precision 0.6251612903225806   recall 0.5558498387839705

deviation 4/5   iterations 1150/2000   F1 0.5357670394598016   accuracy 0.6704545454545454   precision 0.619416282642089   recall 0.55575829560647

deviation 4/5   iterations 1160/2000   F1 0.5588226411447417   accuracy 0.7170454545454545   precision 0.6211674347158218   recall 0.5629083299305839

deviation 4/5   iterations 1170/2000   F1 0.5484254307783719   accuracy 0.6977272727272728   precision 0.6184331797235023   recall 0.5586368863280988

deviation 4/5   iterations 1180/2000   F1 0.5373696661701568   accuracy 0.6727272727272727   precision 0.6207066052227344   recall 0.556542462252258

deviation 4/5   iterations 1190/2000   F1 0.5298856544019239   accuracy 0.6738636363636363   precision 0.6007680491551459   recall 0.54809496996997

deviation 4/5   iterations 1200/2000   F1 0.5650601538201895   accuracy 0.7204545454545455   precision 0.631336405529954   recall 0.5680216905657495

deviation 4/5   iterations 1210/2000   F1 0.5754489413025998   accuracy 0.7443181818181818   precision 0.6284178187403994   recall 0.5719696969696969

deviation 4/5   iterations 1220/2000   F1 0.5600280640535275   accuracy 0.7238636363636364   precision 0.6168049155145929   recall 0.5622071258409906

deviation 4/5   iterations 1230/2000   F1 0.5801093572681316   accuracy 0.7477272727272727   precision 0.6344700460829493   recall 0.5755911549540961

deviation 4/5   iterations 1240/2000   F1 0.5719109483202655   accuracy 0.7295454545454545   precision 0.6364976958525346   recall 0.5721270917343619

deviation 4/5   iterations 1250/2000   F1 0.5668875444156343   accuracy 0.7204545454545455   precision 0.635453149001536   recall 0.5698161250071258

deviation 4/5   iterations 1260/2000   F1 0.5745127368418887   accuracy 0.7329545454545454   precision 0.6384331797235023   recall 0.5737257519830362

deviation 4/5   iterations 1270/2000   F1 0.5795785265963043   accuracy 0.7522727272727273   precision 0.6288172043010753   recall 0.5742602313702988

deviation 4/5   iterations 1280/2000   F1 0.5827839945964552   accuracy 0.7511363636363636   precision 0.6364055299539171   recall 0.5773929049531459

deviation 4/5   iterations 1290/2000   F1 0.5658309472563885   accuracy 0.7397727272727272   precision 0.6134869431643625   recall 0.5639915186119349

deviation 4/5   iterations 1300/2000   F1 0.5579879611993795   accuracy 0.7159090909090909   precision 0.6205222734254993   recall 0.5624208402548386

deviation 4/5   iterations 1310/2000   F1 0.5651862064568572   accuracy 0.7181818181818181   precision 0.634162826420891   recall 0.5688232438804521

deviation 4/5   iterations 1320/2000   F1 0.5676147840803625   accuracy 0.7238636363636364   precision 0.6332718894009216   recall 0.5695352773717012

deviation 4/5   iterations 1330/2000   F1 0.5500604257692665   accuracy 0.7   precision 0.6197235023041474   recall 0.5595249005627142

deviation 4/5   iterations 1340/2000   F1 0.5404406239668179   accuracy 0.6840909090909091   precision 0.6148079877112136   recall 0.5552970979751526

deviation 4/5   iterations 1350/2000   F1 0.5389766923849091   accuracy 0.675   precision 0.6219969278033795   recall 0.55733434978718

deviation 4/5   iterations 1360/2000   F1 0.5561558441558442   accuracy 0.696590909090909   precision 0.6383717357910906   recall 0.5670238095238095

deviation 4/5   iterations 1370/2000   F1 0.5495064935064935   accuracy 0.6920454545454545   precision 0.6275576036866359   recall 0.5617857142857143

deviation 4/5   iterations 1380/2000   F1 0.5686927693080117   accuracy 0.7204545454545455   precision 0.6395698924731184   recall 0.5715969766313016

deviation 4/5   iterations 1390/2000   F1 0.5729014152006644   accuracy 0.7284090909090909   precision 0.6399692780337942   recall 0.573396741932158

deviation 4/5   iterations 1400/2000   F1 0.5574933298626927   accuracy 0.7102272727272727   precision 0.6255299539170507   recall 0.5636543782247813

deviation 4/5   iterations 1410/2000   F1 0.583176684742321   accuracy 0.7465909090909091   precision 0.6420583717357911   recall 0.5786694250871081

deviation 4/5   iterations 1420/2000   F1 0.569327368465942   accuracy 0.7261363636363637   precision 0.6345622119815668   recall 0.5705613980822765

deviation 4/5   iterations 1430/2000   F1 0.5645833333333334   accuracy 0.740909090909091   precision 0.6100153609831029   recall 0.5626158419304074

deviation 4/5   iterations 1440/2000   F1 0.5798611111111112   accuracy 0.75   precision 0.6316436251920123   recall 0.5749256863087953

deviation 4/5   iterations 1450/2000   F1 0.572735760971055   accuracy 0.7488636363636364   precision 0.6186482334869432   recall 0.5686211798152097

deviation 4/5   iterations 1460/2000   F1 0.5882956785581265   accuracy 0.7659090909090909   precision 0.6324423963133641   recall 0.5800997391323736

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deviation 4/5   iterations 1470/2000   F1 0.5876749544344717   accuracy 0.7522727272727273   precision 0.6452841781874039   recall 0.581670224303843

deviation 4/5   iterations 1480/2000   F1 0.5903424495706222   accuracy 0.7738636363636363   precision 0.6287250384024577   recall 0.5811487093675436

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deviation 4/5   iterations 1490/2000   F1 0.5603356216628528   accuracy 0.7022727272727273   precision 0.6415975422427036   recall 0.5692561983471074

deviation 4/5   iterations 1500/2000   F1 0.5633663049393386   accuracy 0.7181818181818181   precision 0.6300460829493088   recall 0.5670291805749973

deviation 4/5   iterations 1510/2000   F1 0.5555774536854553   accuracy 0.7204545454545455   precision 0.6107526881720431   recall 0.5588287129811552

deviation 4/5   iterations 1520/2000   F1 0.5676147840803625   accuracy 0.7238636363636364   precision 0.6332718894009216   recall 0.5695352773717012

deviation 4/5   iterations 1530/2000   F1 0.5684701114488349   accuracy 0.725   precision 0.6339170506912442   recall 0.5700466013176925

deviation 4/5   iterations 1540/2000   F1 0.5713481872160308   accuracy 0.7363636363636363   precision 0.6280184331797235   recall 0.5698790574125129

deviation 4/5   iterations 1550/2000   F1 0.5668875444156343   accuracy 0.7204545454545455   precision 0.635453149001536   recall 0.5698161250071258

deviation 4/5   iterations 1560/2000   F1 0.557813446338262   accuracy 0.7011363636363637   precision 0.6368356374807989   recall 0.5670605381706054

deviation 4/5   iterations 1570/2000   F1 0.5713874941073604   accuracy 0.7170454545454545   precision 0.6499846390168971   recall 0.5753785913683638

deviation 4/5   iterations 1580/2000   F1 0.5643382462586414   accuracy 0.7170454545454545   precision 0.6335176651305684   recall 0.5683316142990114

deviation 4/5   iterations 1590/2000   F1 0.5719109483202655   accuracy 0.7295454545454545   precision 0.6364976958525346   recall 0.5721270917343619

deviation 4/5   iterations 1600/2000   F1 0.5637068011314721   accuracy 0.7068181818181818   precision 0.6441781874039938   recall 0.5710892576906065

deviation 4/5   iterations 1610/2000   F1 0.5684027777777777   accuracy 0.7431818181818182   precision 0.6154224270353302   recall 0.5656933030250044

deviation 4/5   iterations 1620/2000   F1 0.5610594819171764   accuracy 0.7102272727272727   precision 0.6337634408602151   recall 0.5672262160626498

deviation 4/5   iterations 1630/2000   F1 0.5710477635623105   accuracy 0.7284090909090909   precision 0.6358525345622119   recall 0.5716015958962667

deviation 4/5   iterations 1640/2000   F1 0.5577761732851986   accuracy 0.7034090909090909   precision 0.6340092165898618   recall 0.5662112932604736

deviation 4/5   iterations 1650/2000   F1 0.5642123201844519   accuracy 0.7193181818181819   precision 0.6306912442396313   recall 0.5675238095238095

deviation 4/5   iterations 1660/2000   F1 0.584335279972518   accuracy 0.775   precision 0.6170199692780338   recall 0.5758891926139035

deviation 4/5   iterations 1670/2000   F1 0.5783385099810903   accuracy 0.7454545454545455   precision 0.6331797235023041   recall 0.5744134469475896

deviation 4/5   iterations 1680/2000   F1 0.5830166549378372   accuracy 0.7704545454545455   precision 0.6185560675883257   recall 0.575034026832588

deviation 4/5   iterations 1690/2000   F1 0.5757000333475644   accuracy 0.7420454545454546   precision 0.6312442396313364   recall 0.5726807491289199

deviation 4/5   iterations 1700/2000   F1 0.5676147840803625   accuracy 0.7238636363636364   precision 0.6332718894009216   recall 0.5695352773717012

deviation 4/5   iterations 1710/2000   F1 0.5815897695904456   accuracy 0.7602272727272728   precision 0.625099846390169   recall 0.5748529411764706

deviation 4/5   iterations 1720/2000   F1 0.534153438391288   accuracy 0.6659090909090909   precision 0.6209523809523809   recall 0.5559515891558799

deviation 4/5   iterations 1730/2000   F1 0.5462668472827201   accuracy 0.6829545454545455   precision 0.6306298003072197   recall 0.5619117510017706

deviation 4/5   iterations 1740/2000   F1 0.5834356043339528   accuracy 0.7545454545454545   precision 0.6342242703533025   recall 0.5773772837722002

deviation 4/5   iterations 1750/2000   F1 0.5759178940678591   accuracy 0.7397727272727272   precision 0.6340706605222735   recall 0.5733909159401571

deviation 4/5   iterations 1760/2000   F1 0.5708088405164669   accuracy 0.740909090909091   precision 0.6223655913978494   recall 0.5683711093869087

deviation 4/5   iterations 1770/2000   F1 0.5795366795366795   accuracy 0.775   precision 0.6087864823348694   recall 0.5717527862208713

deviation 4/5   iterations 1780/2000   F1 0.5708915686447984   accuracy 0.7306818181818182   precision 0.6330261136712749   recall 0.5708460954475248

deviation 4/5   iterations 1790/2000   F1 0.588030888030888   accuracy 0.7795454545454545   precision 0.6196006144393241   recall 0.5788855116514691

deviation 4/5   iterations 1800/2000   F1 0.5979554489808797   accuracy 0.7943181818181818   precision 0.6238709677419355   recall 0.5875

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deviation 4/5   iterations 1810/2000   F1 0.5843356950623387   accuracy 0.7556818181818182   precision 0.6348694316436252   recall 0.578002842928216

deviation 4/5   iterations 1820/2000   F1 0.6024137139829355   accuracy 0.7829545454545455   precision 0.6421198156682028   recall 0.5910371863093926

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deviation 4/5   iterations 1830/2000   F1 0.6095270811863048   accuracy 0.7886363636363637   precision 0.6494623655913978   recall 0.5969285697208297

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deviation 4/5   iterations 1840/2000   F1 0.5798611111111112   accuracy 0.75   precision 0.6316436251920123   recall 0.5749256863087953

deviation 4/5   iterations 1850/2000   F1 0.5827355623100303   accuracy 0.7340909090909091   precision 0.6555453149001536   recall 0.5813594729230275

deviation 4/5   iterations 1860/2000   F1 0.5888363400345455   accuracy 0.7488636363636364   precision 0.6515821812596005   recall 0.5834551162350139

deviation 4/5   iterations 1870/2000   F1 0.6048475908797861   accuracy 0.7965909090909091   precision 0.633394777265745   recall 0.5933233605007049

deviation 4/5   iterations 1880/2000   F1 0.5944187391555813   accuracy 0.7681818181818182   precision 0.6419662058371736   recall 0.5852463492204045

deviation 4/5   iterations 1890/2000   F1 0.6033092306690118   accuracy 0.803409090909091   precision 0.6249155145929339   recall 0.5928310502283105

deviation 4/5   iterations 1900/2000   F1 0.5792227284910212   accuracy 0.7465909090909091   precision 0.6338248847926268   recall 0.575

deviation 4/5   iterations 1910/2000   F1 0.5780889606855623   accuracy 0.7477272727272727   precision 0.6303533026113671   recall 0.5737292435584656

deviation 4/5   iterations 1920/2000   F1 0.5886038963957889   accuracy 0.7636363636363637   precision 0.6352688172043011   recall 0.5806534338616197

deviation 4/5   iterations 1930/2000   F1 0.6098614947156005   accuracy 0.8022727272727272   precision 0.636620583717358   recall 0.5979420496691951

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deviation 4/5   iterations 1940/2000   F1 0.6073492643079108   accuracy 0.8079545454545455   precision 0.6274961597542242   recall 0.596814228658878

deviation 4/5   iterations 1950/2000   F1 0.6075566224819956   accuracy 0.7863636363636364   precision 0.6481720430107527   recall 0.5953018914155186

deviation 4/5   iterations 1960/2000   F1 0.5866819747416763   accuracy 0.775   precision 0.621136712749616   recall 0.5779131988080841

deviation 4/5   iterations 1970/2000   F1 0.5950910976355133   accuracy 0.7715909090909091   precision 0.6397849462365591   recall 0.5854723332632021

deviation 4/5   iterations 1980/2000   F1 0.5985767721923183   accuracy 0.7784090909090909   precision 0.6395391705069124   recall 0.5879659756437668

deviation 4/5   iterations 1990/2000   F1 0.5925840621081309   accuracy 0.7738636363636363   precision 0.6328417818740399   recall 0.583092485549133

deviation 4/5   iterations 2000/2000   F1 0.5950542195190269   accuracy 0.7909090909090909   precision 0.6219354838709678   recall 0.5849013014349155



deviation 5/5   iterations 10/2000   F1 0.48645494194975125   accuracy 0.6113636363636363   precision 0.5611674347158218   recall 0.5270812137171584

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deviation 5/5   iterations 20/2000   F1 0.528952422935231   accuracy 0.6909090909090909   precision 0.5816282642089095   recall 0.5412990630381935

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deviation 5/5   iterations 30/2000   F1 0.42792133918413783   accuracy 0.4909090909090909   precision 0.5668817204301075   recall 0.528383163581937

deviation 5/5   iterations 40/2000   F1 0.4801410752908517   accuracy 0.5806818181818182   precision 0.5849155145929339   recall 0.5361977202246249

deviation 5/5   iterations 50/2000   F1 0.46061527664054275   accuracy 0.553409090909091   precision 0.5653149001536099   recall 0.5275817332641412

deviation 5/5   iterations 60/2000   F1 0.47021704458775393   accuracy 0.5659090909090909   precision 0.5765284178187404   recall 0.5324215557140551

deviation 5/5   iterations 70/2000   F1 0.46815137467907153   accuracy 0.5556818181818182   precision 0.5871889400921659   recall 0.5367395762132604

deviation 5/5   iterations 80/2000   F1 0.5037066948821883   accuracy 0.6238636363636364   precision 0.5929646697388633   recall 0.5411150242396574

