deviation 1/5   iterations 10/2000   F1 0.45549694293834486   accuracy 0.5306818181818181   precision 0.5923374306106265   recall 0.5385078467747353
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deviation 1/5   iterations 20/2000   F1 0.43478431071204354   accuracy 0.4965909090909091   precision 0.5854976209357652   recall 0.5360172256296489
deviation 1/5   iterations 30/2000   F1 0.4090900841664119   accuracy 0.45340909090909093   precision 0.5859932593180015   recall 0.5375998916429636
deviation 1/5   iterations 40/2000   F1 0.40815180839415044   accuracy 0.45   precision 0.5923869944488501   recall 0.5406995785934191
deviation 1/5   iterations 50/2000   F1 0.5152807391613362   accuracy 0.6477272727272727   precision 0.5962529738302934   recall 0.5435856001436394
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deviation 1/5   iterations 60/2000   F1 0.5180934022605801   accuracy 0.6590909090909091   precision 0.5902061855670103   recall 0.5418390804597701
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deviation 1/5   iterations 70/2000   F1 0.5053176955434387   accuracy 0.6329545454545454   precision 0.5878766851704996   recall 0.5391220163394547
deviation 1/5   iterations 80/2000   F1 0.502262443438914   accuracy 0.6113636363636363   precision 0.6089413164155433   recall 0.5468097793679189
deviation 1/5   iterations 90/2000   F1 0.4630952380952381   accuracy 0.5340909090909091   precision 0.6150872323552736   recall 0.548038728897716
deviation 1/5   iterations 100/2000   F1 0.5077140934374681   accuracy 0.6193181818181818   precision 0.6134516256938938   recall 0.5490383533910697
deviation 1/5   iterations 110/2000   F1 0.4767101551207228   accuracy 0.5647727272727273   precision 0.6033406026962729   recall 0.5432180334240186
deviation 1/5   iterations 120/2000   F1 0.4929695913359301   accuracy 0.5920454545454545   precision 0.6104777954004759   recall 0.5467317640769219
deviation 1/5   iterations 130/2000   F1 0.487044356609574   accuracy 0.5852272727272727   precision 0.6024484536082475   recall 0.5432429039900837
deviation 1/5   iterations 140/2000   F1 0.4630236794171221   accuracy 0.5431818181818182   precision 0.5952616970658208   recall 0.5397140259525581
deviation 1/5   iterations 150/2000   F1 0.4986979166666667   accuracy 0.6022727272727273   precision 0.6121134020618557   recall 0.5477456940222898
deviation 1/5   iterations 160/2000   F1 0.4708718280055213   accuracy 0.5579545454545455   precision 0.5953112609040444   recall 0.5398221154592848
deviation 1/5   iterations 170/2000   F1 0.49247345087122385   accuracy 0.5931818181818181   precision 0.606958762886598   recall 0.5453209005376344
deviation 1/5   iterations 180/2000   F1 0.5129559748427672   accuracy 0.6375   precision 0.6029440919904838   recall 0.5457189396815963
deviation 1/5   iterations 190/2000   F1 0.551165088531363   accuracy 0.7284090909090909   precision 0.5962034099920698   recall 0.5529926080635583
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deviation 1/5   iterations 200/2000   F1 0.5267514428647727   accuracy 0.6693181818181818   precision 0.6001685170499603   recall 0.5470024594310168
deviation 1/5   iterations 210/2000   F1 0.5293638262109713   accuracy 0.6659090909090909   precision 0.610725614591594   recall 0.5511927404385984
deviation 1/5   iterations 220/2000   F1 0.530671917889963   accuracy 0.675   precision 0.6033901665344964   recall 0.5489395645645645
deviation 1/5   iterations 230/2000   F1 0.5315806556312885   accuracy 0.6738636363636363   precision 0.6069091990483744   recall 0.5503386834228905
deviation 1/5   iterations 240/2000   F1 0.5430725824781932   accuracy 0.7170454545454545   precision 0.5897601110229976   recall 0.5480527492354943
deviation 1/5   iterations 250/2000   F1 0.5435545385202136   accuracy 0.6909090909090909   precision 0.6165741475019826   recall 0.5564353584797006
deviation 1/5   iterations 260/2000   F1 0.525418574098534   accuracy 0.6534090909090909   precision 0.6161280729579699   recall 0.5523695371565555
deviation 1/5   iterations 270/2000   F1 0.49429558932880224   accuracy 0.6056818181818182   precision 0.5932295796986519   recall 0.5400914366098118
deviation 1/5   iterations 280/2000   F1 0.5440494140522667   accuracy 0.696590909090909   precision 0.6114690721649485   recall 0.5549639215254993
deviation 1/5   iterations 290/2000   F1 0.5514571347923296   accuracy 0.7147727272727272   precision 0.6092882632831087   recall 0.5566929133858268
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deviation 1/5   iterations 300/2000   F1 0.5454545454545454   accuracy 0.7090909090909091   precision 0.6019032513877876   recall 0.5524703960800327
deviation 1/5   iterations 310/2000   F1 0.5285678462602299   accuracy 0.6795454545454546   precision 0.59347739888977   recall 0.5450775592150864
deviation 1/5   iterations 320/2000   F1 0.5089285714285714   accuracy 0.6272727272727273   precision 0.6054718477398889   recall 0.5461645262061784
deviation 1/5   iterations 330/2000   F1 0.46660497397339507   accuracy 0.553409090909091   precision 0.5885705789056304   recall 0.5369904625877799
deviation 1/5   iterations 340/2000   F1 0.5121535181236674   accuracy 0.6454545454545455   precision 0.5908009516256939   recall 0.5411167968399317
deviation 1/5   iterations 350/2000   F1 0.5185236704224045   accuracy 0.6647727272727273   precision 0.5851011102299762   recall 0.5400702454506736
deviation 1/5   iterations 360/2000   F1 0.5259983365023535   accuracy 0.678409090909091   precision 0.5886697065820777   recall 0.5428423466302662
deviation 1/5   iterations 370/2000   F1 0.5285714285714286   accuracy 0.6931818181818182   precision 0.5803925455987311   recall 0.540614983974359
deviation 1/5   iterations 380/2000   F1 0.5296086269405968   accuracy 0.6863636363636364   precision 0.5890166534496432   recall 0.543800604819042
deviation 1/5   iterations 390/2000   F1 0.5339539324501731   accuracy 0.6772727272727272   precision 0.608842188739096   recall 0.5515202702702703
deviation 1/5   iterations 400/2000   F1 0.5262373519491724   accuracy 0.6568181818181819   precision 0.6138977002379065   recall 0.5517206454952623
deviation 1/5   iterations 410/2000   F1 0.5433836185076439   accuracy 0.7204545454545455   precision 0.5875297383029341   recall 0.5475191045097406
deviation 1/5   iterations 420/2000   F1 0.5425839294094374   accuracy 0.7193181818181819   precision 0.5868854084060269   recall 0.5470354644181944
deviation 1/5   iterations 430/2000   F1 0.5304738951942031   accuracy 0.6988636363636364   precision 0.5794508326724822   recall 0.5408098320381367
deviation 1/5   iterations 440/2000   F1 0.5254285775034745   accuracy 0.6829545454545455   precision 0.5829203013481364   recall 0.5407157502783542
deviation 1/5   iterations 450/2000   F1 0.5330222685460223   accuracy 0.7147727272727272   precision 0.5718180015860428   recall 0.5391011326915423
deviation 1/5   iterations 460/2000   F1 0.5367235110360015   accuracy 0.7079545454545455   precision 0.5846054718477399   recall 0.5443379502464302
deviation 1/5   iterations 470/2000   F1 0.5157907353029305   accuracy 0.6556818181818181   precision 0.5882731958762887   recall 0.5407479222792296
deviation 1/5   iterations 480/2000   F1 0.5289524229352309   accuracy 0.6909090909090909   precision 0.5832672482157018   recall 0.5416873449131514
deviation 1/5   iterations 490/2000   F1 0.5679147982671018   accuracy 0.7943181818181818   precision 0.5794508326724822   recall 0.5622530315828309
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deviation 1/5   iterations 500/2000   F1 0.5507364538963859   accuracy 0.7715909090909091   precision 0.5665642347343378   recall 0.5468601435811548
deviation 1/5   iterations 510/2000   F1 0.5188421334762798   accuracy 0.7102272727272727   precision 0.5484238699444886   recall 0.5268334718035691
deviation 1/5   iterations 520/2000   F1 0.5144998370804822   accuracy 0.6613636363636364   precision 0.5790047581284694   recall 0.5371354021060479
deviation 1/5   iterations 530/2000   F1 0.5243243243243243   accuracy 0.6840909090909091   precision 0.5794012688342585   recall 0.5392348950552276
deviation 1/5   iterations 540/2000   F1 0.530787014424799   accuracy 0.7022727272727273   precision 0.5772204599524187   recall 0.5401587792555933
deviation 1/5   iterations 550/2000   F1 0.5414848566068078   accuracy 0.7238636363636364   precision 0.5811360031720857   recall 0.5449604844856117
deviation 1/5   iterations 560/2000   F1 0.5523024599551004   accuracy 0.7329545454545454   precision 0.5946173671689136   recall 0.553075324422573
deviation 1/5   iterations 570/2000   F1 0.535626204706885   accuracy 0.7284090909090909   precision 0.5670598731165741   recall 0.5385912620597694
deviation 1/5   iterations 580/2000   F1 0.5467437660099028   accuracy 0.7443181818181818   precision 0.5760804916732751   recall 0.5459666853827438
deviation 1/5   iterations 590/2000   F1 0.5594504484976104   accuracy 0.7795454545454545   precision 0.5752379064234734   recall 0.5543093270365997
deviation 1/5   iterations 600/2000   F1 0.5557799091367996   accuracy 0.7602272727272728   precision 0.580937747819191   recall 0.5520565194175918
deviation 1/5   iterations 610/2000   F1 0.5458960058588249   accuracy 0.7397727272727272   precision 0.5776665344964313   recall 0.5459264795316495
deviation 1/5   iterations 620/2000   F1 0.5329345739181804   accuracy 0.7386363636363636   precision 0.5562053925455988   recall 0.5343386627906976
deviation 1/5   iterations 630/2000   F1 0.5474222746950019   accuracy 0.7386363636363636   precision 0.5811855670103092   recall 0.5475113122171946
deviation 1/5   iterations 640/2000   F1 0.5698778061949417   accuracy 0.8045454545454546   precision 0.5769230769230769   recall 0.565344617068755
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deviation 1/5   iterations 650/2000   F1 0.5501208451984972   accuracy 0.7329545454545454   precision 0.5904540047581285   recall 0.5510578772512678
deviation 1/5   iterations 660/2000   F1 0.551165088531363   accuracy 0.7284090909090909   precision 0.5962034099920698   recall 0.5529926080635583
deviation 1/5   iterations 670/2000   F1 0.5730878741005457   accuracy 0.7829545454545455   precision 0.5938243457573354   recall 0.5660508204014341
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deviation 1/5   iterations 680/2000   F1 0.539287861062456   accuracy 0.7238636363636364   precision 0.5769726407613006   recall 0.5429127031825309
deviation 1/5   iterations 690/2000   F1 0.5451305791296547   accuracy 0.7420454545454546   precision 0.5747918318794607   recall 0.5448603131897942
deviation 1/5   iterations 700/2000   F1 0.5279122526936277   accuracy 0.7170454545454545   precision 0.560616574147502   recall 0.5337940991579108
deviation 1/5   iterations 710/2000   F1 0.5557323692334895   accuracy 0.7534090909090909   precision 0.585398493259318   recall 0.5527722264335868
deviation 1/5   iterations 720/2000   F1 0.5566184349652632   accuracy 0.7579545454545454   precision 0.5838124504361618   recall 0.5530297684847629
deviation 1/5   iterations 730/2000   F1 0.5574574679052291   accuracy 0.759090909090909   precision 0.584456780333069   recall 0.5536540823073774
deviation 1/5   iterations 740/2000   F1 0.5515882130853657   accuracy 0.7806818181818181   precision 0.5633921490880254   recall 0.5474798377741275
deviation 1/5   iterations 750/2000   F1 0.5453228643703839   accuracy 0.803409090909091   precision 0.547135210150674   recall 0.5438901131866484
deviation 1/5   iterations 760/2000   F1 0.5369253279256616   accuracy 0.7204545454545455   precision 0.5750396510705789   recall 0.5414578712451052
deviation 1/5   iterations 770/2000   F1 0.5386209301333815   accuracy 0.7625   precision 0.55308287073751   recall 0.5366557999845984
deviation 1/5   iterations 780/2000   F1 0.5579405643753039   accuracy 0.7852272727272728   precision 0.5701328310864393   recall 0.5531081398076472
deviation 1/5   iterations 790/2000   F1 0.5616325408822317   accuracy 0.8022727272727272   precision 0.5673076923076923   recall 0.5579450418160096
deviation 1/5   iterations 800/2000   F1 0.5404865224985145   accuracy 0.7693181818181818   precision 0.5527854877081682   recall 0.537908787541713
deviation 1/5   iterations 810/2000   F1 0.5414369737632736   accuracy 0.7625   precision 0.557246233148295   recall 0.5391608391608391
deviation 1/5   iterations 820/2000   F1 0.5458252046367117   accuracy 0.7727272727272727   precision 0.5588818398096749   recall 0.5425029515938606
deviation 1/5   iterations 830/2000   F1 0.5457389235801368   accuracy 0.7534090909090909   precision 0.5687450436161776   recall 0.5438511211754756
deviation 1/5   iterations 840/2000   F1 0.5516377366918627   accuracy 0.7511363636363636   precision 0.5799464710547185   recall 0.5494031347866369
deviation 1/5   iterations 850/2000   F1 0.54972191323693   accuracy 0.7386363636363636   precision 0.5853489294210944   recall 0.549609633833655
deviation 1/5   iterations 860/2000   F1 0.5792694587875311   accuracy 0.7840909090909091   precision 0.6027954004758128   recall 0.5713229478317686
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deviation 1/5   iterations 870/2000   F1 0.5730905947624214   accuracy 0.8125   precision 0.5772700237906423   recall 0.5698547120565469
deviation 1/5   iterations 880/2000   F1 0.5570860927152318   accuracy 0.7840909090909091   precision 0.5694885011895321   recall 0.5523310066813482
deviation 1/5   iterations 890/2000   F1 0.5634064942073915   accuracy 0.7670454545454546   precision 0.5889670896114195   recall 0.5581965552178318
deviation 1/5   iterations 900/2000   F1 0.5636363636363636   accuracy 0.8090909090909091   precision 0.5670103092783505   recall 0.5610218450983933
deviation 1/5   iterations 910/2000   F1 0.5630980321357646   accuracy 0.8   precision 0.5701823949246629   recall 0.558843085106383
deviation 1/5   iterations 920/2000   F1 0.5345511762470132   accuracy 0.7738636363636363   precision 0.5428727200634417   recall 0.5324653999530846
deviation 1/5   iterations 930/2000   F1 0.5549665178571428   accuracy 0.8022727272727272   precision 0.5589809674861221   recall 0.5521929824561403
deviation 1/5   iterations 940/2000   F1 0.5471677780022901   accuracy 0.7829545454545455   precision 0.5563540840602696   recall 0.5436472518930124
deviation 1/5   iterations 950/2000   F1 0.5450137488778395   accuracy 0.7715909090909091   precision 0.5582375099127677   recall 0.5418242491657397
deviation 1/5   iterations 960/2000   F1 0.5552872467418235   accuracy 0.7897727272727273   precision 0.564383425852498   recall 0.5510457702547377
deviation 1/5   iterations 970/2000   F1 0.5583297758189013   accuracy 0.8022727272727272   precision 0.5631443298969072   recall 0.555106189714088
deviation 1/5   iterations 980/2000   F1 0.5578573084950144   accuracy 0.7931818181818182   precision 0.5663164155432197   recall 0.55353927413869
deviation 1/5   iterations 990/2000   F1 0.5616563284504571   accuracy 0.7715909090909091   precision 0.5832176843774782   recall 0.5564033223874831
deviation 1/5   iterations 1000/2000   F1 0.5751935821416114   accuracy 0.803409090909091   precision 0.5846054718477399   recall 0.5695889684974368
deviation 1/5   iterations 1010/2000   F1 0.5618385834027932   accuracy 0.7943181818181818   precision 0.5711241078509119   recall 0.5570718369376088
deviation 1/5   iterations 1020/2000   F1 0.5657717221098748   accuracy 0.803409090909091   precision 0.5721153846153846   recall 0.5616688741721855
deviation 1/5   iterations 1030/2000   F1 0.5662645203929608   accuracy 0.8   precision 0.574345757335448   recall 0.5615384615384615
deviation 1/5   iterations 1040/2000   F1 0.5703125   accuracy 0.8090909090909091   precision 0.5753370340999207   recall 0.5666666666666667
deviation 1/5   iterations 1050/2000   F1 0.5644824058009699   accuracy 0.7977272727272727   precision 0.5730570975416336   recall 0.5597147950089126
deviation 1/5   iterations 1060/2000   F1 0.5689682020617272   accuracy 0.803409090909091   precision 0.5762787470261697   recall 0.5643724315337076
deviation 1/5   iterations 1070/2000   F1 0.5703125   accuracy 0.8090909090909091   precision 0.5753370340999207   recall 0.5666666666666667
deviation 1/5   iterations 1080/2000   F1 0.5786077927314885   accuracy 0.8272727272727273   precision 0.5773195876288659   recall 0.5800000000000001
deviation 1/5   iterations 1090/2000   F1 0.5711661731079207   accuracy 0.8227272727272728   precision 0.570578905630452   recall 0.5717778113816221
deviation 1/5   iterations 1100/2000   F1 0.5592037640246109   accuracy 0.803409090909091   precision 0.5637886597938144   recall 0.5560546173194395
deviation 1/5   iterations 1110/2000   F1 0.5558291587770714   accuracy 0.803409090909091   precision 0.5596252973830294   recall 0.5531366291588908
deviation 1/5   iterations 1120/2000   F1 0.5549665178571428   accuracy 0.8022727272727272   precision 0.5589809674861221   recall 0.5521929824561403
deviation 1/5   iterations 1130/2000   F1 0.5741626638866426   accuracy 0.8306818181818182   precision 0.5709258524980174   recall 0.578206336844694
deviation 1/5   iterations 1140/2000   F1 0.5711933326612225   accuracy 0.8022727272727272   precision 0.5797977795400475   recall 0.5660512820512821
deviation 1/5   iterations 1150/2000   F1 0.573559783549284   accuracy 0.8090909090909091   precision 0.5795003965107057   recall 0.5693801635018816
deviation 1/5   iterations 1160/2000   F1 0.5552393614452789   accuracy 0.821590909090909   precision 0.5532811260904045   recall 0.5576600737512571
deviation 1/5   iterations 1170/2000   F1 0.5655989469065379   accuracy 0.8159090909090909   precision 0.5667129262490087   recall 0.5645749376319324
deviation 1/5   iterations 1180/2000   F1 0.5707917022010902   accuracy 0.8056818181818182   precision 0.5775674068199841   recall 0.5663311258278146
deviation 1/5   iterations 1190/2000   F1 0.5618385834027932   accuracy 0.7943181818181818   precision 0.5711241078509119   recall 0.5570718369376088
deviation 1/5   iterations 1200/2000   F1 0.5611294857712819   accuracy 0.8147727272727273   precision 0.5619052339413164   recall 0.5604030902781976
deviation 1/5   iterations 1210/2000   F1 0.5610697200219591   accuracy 0.8193181818181818   precision 0.5603191911181602   recall 0.5618716557149939
deviation 1/5   iterations 1220/2000   F1 0.5637823264136572   accuracy 0.8136363636363636   precision 0.5654242664551943   recall 0.5623376623376624
deviation 1/5   iterations 1230/2000   F1 0.5646882805126384   accuracy 0.8147727272727273   precision 0.5660685963521015   recall 0.5634467330644106
deviation 1/5   iterations 1240/2000   F1 0.5673894557823129   accuracy 0.8318181818181818   precision 0.5632434575733545   recall 0.5732323232323233
deviation 1/5   iterations 1250/2000   F1 0.5619738898129946   accuracy 0.8204545454545454   precision 0.5609635210150674   recall 0.5630769230769231
deviation 1/5   iterations 1260/2000   F1 0.5702256191071667   accuracy 0.821590909090909   precision 0.5699345757335448   recall 0.5705226724644201
deviation 1/5   iterations 1270/2000   F1 0.5592037640246109   accuracy 0.803409090909091   precision 0.5637886597938144   recall 0.5560546173194395
deviation 1/5   iterations 1280/2000   F1 0.5619738898129946   accuracy 0.8204545454545454   precision 0.5609635210150674   recall 0.5630769230769231
deviation 1/5   iterations 1290/2000   F1 0.5583297758189013   accuracy 0.8022727272727272   precision 0.5631443298969072   recall 0.555106189714088
deviation 1/5   iterations 1300/2000   F1 0.5488904494798195   accuracy 0.803409090909091   precision 0.5512985725614592   recall 0.5470588235294118
deviation 1/5   iterations 1310/2000   F1 0.5530433357909397   accuracy 0.8238636363636364   precision 0.5504064234734338   recall 0.5566581707266118
deviation 1/5   iterations 1320/2000   F1 0.5592037640246109   accuracy 0.803409090909091   precision 0.5637886597938144   recall 0.5560546173194395
deviation 1/5   iterations 1330/2000   F1 0.5588105185549275   accuracy 0.8261363636363637   precision 0.5558584456780333   recall 0.5627863897825875
deviation 1/5   iterations 1340/2000   F1 0.5721119912163751   accuracy 0.8238636363636364   precision 0.5712232355273592   recall 0.5730563428615005
deviation 1/5   iterations 1350/2000   F1 0.5619842640568029   accuracy 0.8113636363636364   precision 0.5641356066613799   recall 0.5601748511904762
deviation 1/5   iterations 1360/2000   F1 0.5646882805126384   accuracy 0.8147727272727273   precision 0.5660685963521015   recall 0.5634467330644106
deviation 1/5   iterations 1370/2000   F1 0.5655989469065379   accuracy 0.8159090909090909   precision 0.5667129262490087   recall 0.5645749376319324
deviation 1/5   iterations 1380/2000   F1 0.5618505371431249   accuracy 0.8068181818181818   precision 0.5657216494845361   recall 0.558988389163219
deviation 1/5   iterations 1390/2000   F1 0.5566958375801029   accuracy 0.8045454545454546   precision 0.5602696272799366   recall 0.5540949330486231
deviation 1/5   iterations 1400/2000   F1 0.5703330684614132   accuracy 0.8261363636363637   precision 0.5683485329103886   recall 0.5726257718792379
deviation 1/5   iterations 1410/2000   F1 0.5716047797246969   accuracy 0.8147727272727273   precision 0.5743953211736716   recall 0.5692734594039529
deviation 1/5   iterations 1420/2000   F1 0.5703448840829032   accuracy 0.8306818181818182   precision 0.5667624900872323   recall 0.575042827894539
deviation 1/5   iterations 1430/2000   F1 0.5600818452380952   accuracy 0.8045454545454546   precision 0.5644329896907216   recall 0.5570175438596492
deviation 1/5   iterations 1440/2000   F1 0.5725388601036269   accuracy 0.8159090909090909   precision 0.5750396510705789   recall 0.5704055059523809
deviation 1/5   iterations 1450/2000   F1 0.5606270521209797   accuracy 0.8284090909090909   precision 0.5571471054718478   recall 0.5655122942087245
deviation 1/5   iterations 1460/2000   F1 0.5620276497695853   accuracy 0.8159090909090909   precision 0.5625495638382236   recall 0.5615279606065038
deviation 1/5   iterations 1470/2000   F1 0.56   accuracy 0.8227272727272728   precision 0.5580888183980968   recall 0.5622874149659864
deviation 1/5   iterations 1480/2000   F1 0.5645777013189154   accuracy 0.8284090909090909   precision 0.5613104678826328   recall 0.5689146088385632
deviation 1/5   iterations 1490/2000   F1 0.5757004519847825   accuracy 0.8238636363636364   precision 0.5753865979381443   recall 0.5760205420399596
deviation 1/5   iterations 1500/2000   F1 0.5655989469065379   accuracy 0.8159090909090909   precision 0.5667129262490087   recall 0.5645749376319324
deviation 1/5   iterations 1510/2000   F1 0.5611482286073424   accuracy 0.8340909090909091   precision 0.5562053925455988   recall 0.5693196405648266
deviation 1/5   iterations 1520/2000   F1 0.5639503657425214   accuracy 0.8375   precision 0.5581383822363204   recall 0.5741478215521737
deviation 1/5   iterations 1530/2000   F1 0.5684513922504754   accuracy 0.8238636363636364   precision 0.5670598731165741   recall 0.569995731967563
deviation 1/5   iterations 1540/2000   F1 0.5601704339568417   accuracy 0.8181818181818182   precision 0.559674861221253   recall 0.5606885427692928
deviation 1/5   iterations 1550/2000   F1 0.5675060463792858   accuracy 0.8272727272727273   precision 0.5648295003965107   recall 0.570813707974663
deviation 1/5   iterations 1560/2000   F1 0.5555485844247511   accuracy 0.8170454545454545   precision 0.5548671689135607   recall 0.5562793121417405
deviation 1/5   iterations 1570/2000   F1 0.5530433357909397   accuracy 0.8238636363636364   precision 0.5504064234734338   recall 0.5566581707266118
deviation 1/5   iterations 1580/2000   F1 0.5692926583975862   accuracy 0.8340909090909091   precision 0.5645321173671689   recall 0.5762696971472088
deviation 1/5   iterations 1590/2000   F1 0.5753707766963774   accuracy 0.8193181818181818   precision 0.5769726407613006   recall 0.5739180618522353
deviation 1/5   iterations 1600/2000   F1 0.5664465613644104   accuracy 0.8306818181818182   precision 0.5625991276764473   recall 0.5717623829883948
deviation 1/5   iterations 1610/2000   F1 0.5619842640568029   accuracy 0.8113636363636364   precision 0.5641356066613799   recall 0.5601748511904762
deviation 1/5   iterations 1620/2000   F1 0.5673894557823129   accuracy 0.8318181818181818   precision 0.5632434575733545   recall 0.5732323232323233
deviation 1/5   iterations 1630/2000   F1 0.5553341177884021   accuracy 0.8375   precision 0.5498116574147502   recall 0.566583850931677
deviation 1/5   iterations 1640/2000   F1 0.5575011028538465   accuracy 0.8147727272727273   precision 0.5577418715305313   recall 0.5572657450076806
deviation 1/5   iterations 1650/2000   F1 0.552470539103257   accuracy 0.8284090909090909   precision 0.5488203806502775   recall 0.5583055863854977
deviation 1/5   iterations 1660/2000   F1 0.56   accuracy 0.8227272727272728   precision 0.5580888183980968   recall 0.5622874149659864
deviation 1/5   iterations 1670/2000   F1 0.56   accuracy 0.8227272727272728   precision 0.5580888183980968   recall 0.5622874149659864
deviation 1/5   iterations 1680/2000   F1 0.5619842640568029   accuracy 0.8113636363636364   precision 0.5641356066613799   recall 0.5601748511904762
deviation 1/5   iterations 1690/2000   F1 0.5698778061949417   accuracy 0.8045454545454546   precision 0.5769230769230769   recall 0.565344617068755
deviation 1/5   iterations 1700/2000   F1 0.5673894557823129   accuracy 0.8318181818181818   precision 0.5632434575733545   recall 0.5732323232323233
deviation 1/5   iterations 1710/2000   F1 0.54999570999571   accuracy 0.8306818181818182   precision 0.5459456780333068   recall 0.5572938395216243
deviation 1/5   iterations 1720/2000   F1 0.5539229239904675   accuracy 0.825   precision 0.551050753370341   recall 0.5579465541490858
deviation 1/5   iterations 1730/2000   F1 0.5483262875967039   accuracy 0.8125   precision 0.5481264869151468   recall 0.5485311941622621
deviation 1/5   iterations 1740/2000   F1 0.5583980816316908   accuracy 0.8306818181818182   precision 0.5542724028548771   recall 0.5648168701442842
deviation 1/5   iterations 1750/2000   F1 0.5609051020638104   accuracy 0.8238636363636364   precision 0.558733148295004   recall 0.5635601743211532
deviation 1/5   iterations 1760/2000   F1 0.5579101205699671   accuracy 0.825   precision 0.5552141157811261   recall 0.5614654601633193
deviation 1/5   iterations 1770/2000   F1 0.5578517694592   accuracy 0.8352272727272727   precision 0.5526863600317209   recall 0.5671944879027797
deviation 1/5   iterations 1780/2000   F1 0.5453399868945007   accuracy 0.8136363636363636   precision 0.5446074544012689   recall 0.5461538461538462
deviation 1/5   iterations 1790/2000   F1 0.5439078802082159   accuracy 0.8170454545454545   precision 0.5423770816812054   recall 0.545859872611465
deviation 1/5   iterations 1800/2000   F1 0.5602258703862981   accuracy 0.8329545454545455   precision 0.5555610626486915   recall 0.5677843116506176
deviation 1/5   iterations 1810/2000   F1 0.5555485844247511   accuracy 0.8170454545454545   precision 0.5548671689135607   recall 0.5562793121417405
deviation 1/5   iterations 1820/2000   F1 0.5620276497695853   accuracy 0.8159090909090909   precision 0.5625495638382236   recall 0.5615279606065038
deviation 1/5   iterations 1830/2000   F1 0.5567069660333909   accuracy 0.8090909090909091   precision 0.5586835844567803   recall 0.5550595238095238
deviation 1/5   iterations 1840/2000   F1 0.5583980816316908   accuracy 0.8306818181818182   precision 0.5542724028548771   recall 0.5648168701442842
deviation 1/5   iterations 1850/2000   F1 0.5543589743589744   accuracy 0.8204545454545454   precision 0.5526367961934973   recall 0.5564413265306123
deviation 1/5   iterations 1860/2000   F1 0.5548075428775489   accuracy 0.8261363636363637   precision 0.5516950832672483   recall 0.5592622054290544
deviation 1/5   iterations 1870/2000   F1 0.5615433673469388   accuracy 0.8295454545454546   precision 0.557791435368755   recall 0.5669191919191919
deviation 1/5   iterations 1880/2000   F1 0.5533539061231119   accuracy 0.8295454545454546   precision 0.5494647105471847   recall 0.5597032782962431
deviation 1/5   iterations 1890/2000   F1 0.5634406529831436   accuracy 0.8420454545454545   precision 0.5565523394131642   recall 0.5774727979494492
deviation 1/5   iterations 1900/2000   F1 0.5615532210361167   accuracy 0.8397727272727272   precision 0.5552636796193497   recall 0.573871635610766
deviation 1/5   iterations 1910/2000   F1 0.5588105185549275   accuracy 0.8261363636363637   precision 0.5558584456780333   recall 0.5627863897825875
deviation 1/5   iterations 1920/2000   F1 0.5556972789115646   accuracy 0.8272727272727273   precision 0.5523394131641555   recall 0.5606060606060606
deviation 1/5   iterations 1930/2000   F1 0.5515923566878981   accuracy 0.8272727272727273   precision 0.5481760507533703   recall 0.5569386679163494
deviation 1/5   iterations 1940/2000   F1 0.546642234212223   accuracy 0.8102272727272727   precision 0.5468378271213323   recall 0.5464516129032259
deviation 1/5   iterations 1950/2000   F1 0.5556972789115646   accuracy 0.8272727272727273   precision 0.5523394131641555   recall 0.5606060606060606
deviation 1/5   iterations 1960/2000   F1 0.5633925578276902   accuracy 0.8318181818181818   precision 0.5590800951625694   recall 0.5698260207369222
deviation 1/5   iterations 1970/2000   F1 0.5582048577129857   accuracy 0.8204545454545454   precision 0.5568001586042823   recall 0.559815230440002
deviation 1/5   iterations 1980/2000   F1 0.556036036036036   accuracy 0.8329545454545455   precision 0.5513977002379064   recall 0.5640924612555818
deviation 1/5   iterations 1990/2000   F1 0.5472761530269518   accuracy 0.821590909090909   precision 0.5449544012688342   recall 0.5505299516706361
deviation 1/5   iterations 2000/2000   F1 0.5583980816316908   accuracy 0.8306818181818182   precision 0.5542724028548771   recall 0.5648168701442842

deviation 2/5   iterations 10/2000   F1 0.21703635501962187   accuracy 0.21704545454545454   precision 0.5225499231950845   recall 0.5231236453450274
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deviation 2/5   iterations 20/2000   F1 0.26089561664718997   accuracy 0.2625   precision 0.5401228878648233   recall 0.5304673211152999
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deviation 2/5   iterations 30/2000   F1 0.4972701894809654   accuracy 0.5795454545454546   precision 0.6460215053763441   recall 0.5615166779699625
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deviation 2/5   iterations 40/2000   F1 0.5318216033430019   accuracy 0.6329545454545454   precision 0.6639938556067588   recall 0.5709372541515171
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deviation 2/5   iterations 50/2000   F1 0.44205045336206117   accuracy 0.4863636363636364   precision 0.6466359447004608   recall 0.5641425353838876
deviation 2/5   iterations 60/2000   F1 0.5311861984483462   accuracy 0.6204545454545455   precision 0.6857142857142857   recall 0.579040685359233
deviation 2/5   iterations 70/2000   F1 0.5256686463239811   accuracy 0.6261363636363636   precision 0.6560061443932412   recall 0.5672760996290408
deviation 2/5   iterations 80/2000   F1 0.498162463566088   accuracy 0.5704545454545454   precision 0.6696774193548387   recall 0.5713200997939039
deviation 2/5   iterations 90/2000   F1 0.4266196873301046   accuracy 0.4647727272727273   precision 0.638494623655914   recall 0.5619448597308944
deviation 2/5   iterations 100/2000   F1 0.5334562274741363   accuracy 0.6284090909090909   precision 0.6778801843317972   recall 0.5762821728957187
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deviation 2/5   iterations 110/2000   F1 0.5309004857391955   accuracy 0.6352272727272728   precision 0.6570506912442396   recall 0.5682692307692307
deviation 2/5   iterations 120/2000   F1 0.5069611378205129   accuracy 0.5931818181818181   precision 0.6537634408602151   recall 0.5649962859265185
deviation 2/5   iterations 130/2000   F1 0.5077706000416772   accuracy 0.5943181818181819   precision 0.6544086021505375   recall 0.5652917212279936
deviation 2/5   iterations 140/2000   F1 0.5385781169657113   accuracy 0.6477272727272727   precision 0.6600307219662058   recall 0.570410541170364
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deviation 2/5   iterations 150/2000   F1 0.524255698293643   accuracy 0.6125   precision 0.6770814132104455   recall 0.5751836547291093
deviation 2/5   iterations 160/2000   F1 0.4848657722619343   accuracy 0.553409090909091   precision 0.6558832565284178   recall 0.5655880953858246
deviation 2/5   iterations 170/2000   F1 0.42044049931872335   accuracy 0.4556818181818182   precision 0.6374500768049155   recall 0.5622509405819364
deviation 2/5   iterations 180/2000   F1 0.5171498570845243   accuracy 0.6090909090909091   precision 0.6586789554531489   recall 0.5675343490290221
deviation 2/5   iterations 190/2000   F1 0.5399627376673506   accuracy 0.6534090909090909   precision 0.6550230414746544   recall 0.5688606738138388
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deviation 2/5   iterations 200/2000   F1 0.5151562016702753   accuracy 0.6113636363636363   precision 0.6476190476190475   recall 0.5631071021428834
deviation 2/5   iterations 210/2000   F1 0.5490294511378848   accuracy 0.6659090909090909   precision 0.6621198156682028   recall 0.5729548584037029
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deviation 2/5   iterations 220/2000   F1 0.5157297482878878   accuracy 0.6193181818181818   precision 0.6356682027649769   recall 0.55859375
deviation 2/5   iterations 230/2000   F1 0.5030588235294118   accuracy 0.5909090909090909   precision 0.6442396313364056   recall 0.5610136452241715
deviation 2/5   iterations 240/2000   F1 0.5234635668926918   accuracy 0.634090909090909   precision 0.6358218125960061   recall 0.5595247712449981
deviation 2/5   iterations 250/2000   F1 0.5130208333333334   accuracy 0.6136363636363636   precision 0.6365591397849462   recall 0.5586798679867987
deviation 2/5   iterations 260/2000   F1 0.5325745257452574   accuracy 0.6659090909090909   precision 0.6168356374807988   recall 0.5542124019957234
deviation 2/5   iterations 270/2000   F1 0.5067193675889328   accuracy 0.6011363636363637   precision 0.6376958525345622   recall 0.5586342229199373
deviation 2/5   iterations 280/2000   F1 0.5086301038181971   accuracy 0.6147727272727272   precision 0.62073732718894   recall 0.552226191235568
deviation 2/5   iterations 290/2000   F1 0.5286976702668927   accuracy 0.6454545454545455   precision 0.6340399385560676   recall 0.5596067566164455
deviation 2/5   iterations 300/2000   F1 0.5131922472357334   accuracy 0.6272727272727273   precision 0.6154838709677419   recall 0.5507098570572904
deviation 2/5   iterations 310/2000   F1 0.5430114926077008   accuracy 0.678409090909091   precision 0.6280491551459293   recall 0.5602786005183266
deviation 2/5   iterations 320/2000   F1 0.5023187422237303   accuracy 0.5965909090909091   precision 0.6309984639016897   recall 0.5557251589160255
deviation 2/5   iterations 330/2000   F1 0.5362502753910553   accuracy 0.6602272727272728   precision 0.6341935483870967   recall 0.5609375
deviation 2/5   iterations 340/2000   F1 0.4751141395656763   accuracy 0.5659090909090909   precision 0.5929953917050691   recall 0.5392833226916668
deviation 2/5   iterations 350/2000   F1 0.5355591921166911   accuracy 0.6613636363636364   precision 0.6307219662058372   recall 0.5596035210202217
deviation 2/5   iterations 360/2000   F1 0.5887244953488223   accuracy 0.7511363636363636   precision 0.6487557603686636   recall 0.5828678222295244
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deviation 2/5   iterations 370/2000   F1 0.5400072970166427   accuracy 0.6613636363636364   precision 0.6430721966205837   recall 0.5647125523175347
deviation 2/5   iterations 380/2000   F1 0.5364542319978716   accuracy 0.6647727272727273   precision 0.6285407066052228   recall 0.5590240158902131
deviation 2/5   iterations 390/2000   F1 0.5243770614484881   accuracy 0.6454545454545455   precision 0.6216897081413211   recall 0.5544934761912623
deviation 2/5   iterations 400/2000   F1 0.5373224626199188   accuracy 0.6681818181818182   precision 0.6263594470046083   recall 0.5584528540000341
deviation 2/5   iterations 410/2000   F1 0.5437950874733491   accuracy 0.6772727272727272   precision 0.6315207373271889   recall 0.5616081142534783
deviation 2/5   iterations 420/2000   F1 0.5356498548905796   accuracy 0.6636363636363637   precision 0.6278955453149002   recall 0.5586433839894969
deviation 2/5   iterations 430/2000   F1 0.5291484525266655   accuracy 0.6522727272727272   precision 0.6255606758832566   recall 0.5566458766458766
deviation 2/5   iterations 440/2000   F1 0.6064541519086973   accuracy 0.7727272727272727   precision 0.6610138248847925   recall 0.5953387518099992
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deviation 2/5   iterations 450/2000   F1 0.5527002948845693   accuracy 0.6852272727272727   precision 0.6442703533026114   recall 0.5679146612365791
deviation 2/5   iterations 460/2000   F1 0.5553157698766708   accuracy 0.6977272727272728   precision 0.6349001536098311   recall 0.5657213331656998
deviation 2/5   iterations 470/2000   F1 0.5834841439986636   accuracy 0.7681818181818182   precision 0.6213824884792627   recall 0.5756322789607884
deviation 2/5   iterations 480/2000   F1 0.517739709344808   accuracy 0.6318181818181818   precision 0.6221812596006144   recall 0.5537574817113722
deviation 2/5   iterations 490/2000   F1 0.5518207282913166   accuracy 0.7   precision 0.6238402457757297   recall 0.561313952993143
deviation 2/5   iterations 500/2000   F1 0.5888765294771968   accuracy 0.7613636363636364   precision 0.638095238095238   recall 0.5812104787714544
deviation 2/5   iterations 510/2000   F1 0.577350135130735   accuracy 0.7318181818181818   precision 0.6460215053763441   recall 0.5767647989870213
deviation 2/5   iterations 520/2000   F1 0.5733012306046015   accuracy 0.7363636363636363   precision 0.6321351766513057   recall 0.571722063247487
deviation 2/5   iterations 530/2000   F1 0.588582163994045   accuracy 0.7534090909090909   precision 0.6459293394777266   recall 0.5822847085562238
deviation 2/5   iterations 540/2000   F1 0.6075566224819956   accuracy 0.7863636363636364   precision 0.6481720430107527   recall 0.5953018914155186
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deviation 2/5   iterations 550/2000   F1 0.5708915686447984   accuracy 0.7306818181818182   precision 0.6330261136712749   recall 0.5708460954475248
deviation 2/5   iterations 560/2000   F1 0.627798897257412   accuracy 0.8113636363636364   precision 0.6582488479262673   recall 0.6134471549012871
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deviation 2/5   iterations 570/2000   F1 0.5895217170863614   accuracy 0.7647727272727273   precision 0.6359139784946237   recall 0.5813235294117647
deviation 2/5   iterations 580/2000   F1 0.6021917808219178   accuracy 0.775   precision 0.6499539170506913   recall 0.5913531723750702
deviation 2/5   iterations 590/2000   F1 0.6024137139829355   accuracy 0.7829545454545455   precision 0.6421198156682028   recall 0.5910371863093926
deviation 2/5   iterations 600/2000   F1 0.5655656270804528   accuracy 0.7261363636363637   precision 0.6263287250384024   recall 0.5669270833333333
deviation 2/5   iterations 610/2000   F1 0.6024137139829355   accuracy 0.7829545454545455   precision 0.6421198156682028   recall 0.5910371863093926
deviation 2/5   iterations 620/2000   F1 0.5818164389540516   accuracy 0.7352272727272727   precision 0.6520737327188939   recall 0.5801510401823882
deviation 2/5   iterations 630/2000   F1 0.6053284476506737   accuracy 0.7863636363636364   precision 0.6440552995391705   recall 0.5934220068696754
deviation 2/5   iterations 640/2000   F1 0.5708915686447984   accuracy 0.7306818181818182   precision 0.6330261136712749   recall 0.5708460954475248
deviation 2/5   iterations 650/2000   F1 0.5838921558513016   accuracy 0.75   precision 0.6398771121351767   recall 0.5786306896289695
deviation 2/5   iterations 660/2000   F1 0.5677409653651446   accuracy 0.7215909090909091   precision 0.6360983102918587   recall 0.5703174603174603
deviation 2/5   iterations 670/2000   F1 0.5707040826706026   accuracy 0.7329545454545454   precision 0.6301996927803379   recall 0.5700894392844857
deviation 2/5   iterations 680/2000   F1 0.6167205653371661   accuracy 0.8181818181818182   precision 0.6333026113671275   recall 0.6065663958503208
deviation 2/5   iterations 690/2000   F1 0.5941552511415524   accuracy 0.7704545454545455   precision 0.6391397849462366   recall 0.5847651132322665
deviation 2/5   iterations 700/2000   F1 0.5815449070437286   accuracy 0.7420454545454546   precision 0.643594470046083   recall 0.5781605351170569
deviation 2/5   iterations 710/2000   F1 0.6088501464272017   accuracy 0.8011363636363636   precision 0.6359754224270353   recall 0.5969967390160945
deviation 2/5   iterations 720/2000   F1 0.6177907145088657   accuracy 0.8056818181818182   precision 0.64678955453149   recall 0.6047108944913917
deviation 2/5   iterations 730/2000   F1 0.5632102272727272   accuracy 0.7204545454545455   precision 0.6272196620583717   recall 0.5662131997876573
deviation 2/5   iterations 740/2000   F1 0.5938561512332003   accuracy 0.7727272727272727   precision 0.6363133640552995   recall 0.5842901541805029
deviation 2/5   iterations 750/2000   F1 0.6061197916666666   accuracy 0.825   precision 0.6124731182795699   recall 0.6010667078920925
deviation 2/5   iterations 760/2000   F1 0.5893195160460227   accuracy 0.7568181818181818   precision 0.6437480798771121   recall 0.5823355927669968
deviation 2/5   iterations 770/2000   F1 0.6221093721862525   accuracy 0.8238636363636364   precision 0.6365284178187404   recall 0.6125222816399287
deviation 2/5   iterations 780/2000   F1 0.6092664092664093   accuracy 0.7909090909090909   precision 0.6466359447004608   recall 0.5967173252279635
deviation 2/5   iterations 790/2000   F1 0.5836805555555555   accuracy 0.7522727272727273   precision 0.6370506912442396   recall 0.5780031474033922
deviation 2/5   iterations 800/2000   F1 0.6028717948717949   accuracy 0.8   precision 0.6270967741935485   recall 0.592035595105673
deviation 2/5   iterations 810/2000   F1 0.6078431372549019   accuracy 0.8   precision 0.6353302611367128   recall 0.5960624220378754
deviation 2/5   iterations 820/2000   F1 0.5994069977190347   accuracy 0.7875   precision 0.6323502304147466   recall 0.5884410721324399
deviation 2/5   iterations 830/2000   F1 0.5978017756247915   accuracy 0.7647727272727273   precision 0.6523809523809524   recall 0.58871336996337
deviation 2/5   iterations 840/2000   F1 0.6108772387210887   accuracy 0.803409090909091   precision 0.6372657450076805   recall 0.5988985692024367
deviation 2/5   iterations 850/2000   F1 0.5853186030682235   accuracy 0.7852272727272728   precision 0.6104761904761904   recall 0.5765601580596811
deviation 2/5   iterations 860/2000   F1 0.5944741532976827   accuracy 0.7931818181818182   precision 0.6191090629800308   recall 0.5845480159457078
deviation 2/5   iterations 870/2000   F1 0.6144878704218228   accuracy 0.8306818181818182   precision 0.6198156682027649   recall 0.6100153457302763
deviation 2/5   iterations 880/2000   F1 0.6089691003554827   accuracy 0.7931818181818182   precision 0.6438095238095238   recall 0.5965242207540478
deviation 2/5   iterations 890/2000   F1 0.6060009825774022   accuracy 0.7897727272727273   precision 0.6418740399385561   recall 0.5939809840122432
deviation 2/5   iterations 900/2000   F1 0.6169796036802844   accuracy 0.8363636363636363   precision 0.6189247311827957   recall 0.6151548685729245
deviation 2/5   iterations 910/2000   F1 0.5990463576158941   accuracy 0.8045454545454546   precision 0.6173271889400922   recall 0.5895847994370162
deviation 2/5   iterations 920/2000   F1 0.5994069977190347   accuracy 0.7875   precision 0.6323502304147466   recall 0.5884410721324399
deviation 2/5   iterations 930/2000   F1 0.6164102564102565   accuracy 0.8068181818181818   precision 0.6433179723502304   recall 0.6037819799777531
deviation 2/5   iterations 940/2000   F1 0.5791028427409861   accuracy 0.7806818181818181   precision 0.603778801843318   recall 0.5712513921231143
deviation 2/5   iterations 950/2000   F1 0.6053771440801476   accuracy 0.8   precision 0.6312135176651306   recall 0.5940657733611721
deviation 2/5   iterations 960/2000   F1 0.6241186902547688   accuracy 0.8204545454545454   precision 0.642826420890937   recall 0.6128409013679744
deviation 2/5   iterations 970/2000   F1 0.6311688311688312   accuracy 0.8386363636363636   precision 0.6366820276497696   recall 0.6264279624893435
update
deviation 2/5   iterations 980/2000   F1 0.6245093019286567   accuracy 0.8181818181818182   precision 0.6456528417818741   recall 0.6124621647009707
deviation 2/5   iterations 990/2000   F1 0.6023475865373099   accuracy 0.8113636363636364   precision 0.6170814132104455   recall 0.5935986482105491
deviation 2/5   iterations 1000/2000   F1 0.6038676918090642   accuracy 0.8011363636363636   precision 0.6277419354838709   recall 0.5929752066115702
deviation 2/5   iterations 1010/2000   F1 0.6037086092715233   accuracy 0.8068181818181818   precision 0.6227342549923195   recall 0.5937133474079287
deviation 2/5   iterations 1020/2000   F1 0.6151220344768731   accuracy 0.8136363636363636   precision 0.6348387096774193   recall 0.6041123056048429
deviation 2/5   iterations 1030/2000   F1 0.5998863313441318   accuracy 0.8181818181818182   precision 0.6086021505376344   recall 0.5936423841059603
deviation 2/5   iterations 1040/2000   F1 0.6033643011481129   accuracy 0.8125   precision 0.6177265745007681   recall 0.5946790006325111
deviation 2/5   iterations 1050/2000   F1 0.5895511693049312   accuracy 0.7965909090909091   precision 0.6086943164362519   recall 0.5807762557077626
deviation 2/5   iterations 1060/2000   F1 0.6123133119961721   accuracy 0.8284090909090909   precision 0.6185253456221198   recall 0.6072667823301748
deviation 2/5   iterations 1070/2000   F1 0.600911582748382   accuracy 0.8193181818181818   precision 0.609247311827957   recall 0.5948327359617682
deviation 2/5   iterations 1080/2000   F1 0.6085027546194726   accuracy 0.8340909090909091   precision 0.6094009216589862   recall 0.607633809287761
deviation 2/5   iterations 1090/2000   F1 0.6010418426035398   accuracy 0.8261363636363637   precision 0.6048847926267281   recall 0.5977394530713206
deviation 2/5   iterations 1100/2000   F1 0.6051948051948053   accuracy 0.8272727272727273   precision 0.6096466973886329   recall 0.6014208581983518
deviation 2/5   iterations 1110/2000   F1 0.6095937143364164   accuracy 0.8352272727272727   precision 0.6100460829493087   recall 0.6091487494515138
deviation 2/5   iterations 1120/2000   F1 0.5967269956602878   accuracy 0.8113636363636364   precision 0.6088479262672811   recall 0.5891536069088383
deviation 2/5   iterations 1130/2000   F1 0.6020895060626613   accuracy 0.8272727272727273   precision 0.6055299539170507   recall 0.5990815843823194
deviation 2/5   iterations 1140/2000   F1 0.5989431297665886   accuracy 0.8204545454545454   precision 0.6057757296466973   recall 0.593723799257396
deviation 2/5   iterations 1150/2000   F1 0.5969085429364174   accuracy 0.821590909090909   precision 0.6023041474654378   recall 0.5925864139863872
deviation 2/5   iterations 1160/2000   F1 0.6162810759940397   accuracy 0.8420454545454545   precision 0.6139170506912442   recall 0.6188461538461538
deviation 2/5   iterations 1170/2000   F1 0.6085235108323324   accuracy 0.8181818181818182   precision 0.6209523809523809   recall 0.6003118662032838
deviation 2/5   iterations 1180/2000   F1 0.6074813478837847   accuracy 0.8170454545454545   precision 0.6203072196620584   recall 0.5991532976827094
deviation 2/5   iterations 1190/2000   F1 0.6051948051948053   accuracy 0.8272727272727273   precision 0.6096466973886329   recall 0.6014208581983518
deviation 2/5   iterations 1200/2000   F1 0.5918647794420777   accuracy 0.8159090909090909   precision 0.599078341013825   recall 0.5865901987949866
deviation 2/5   iterations 1210/2000   F1 0.6040197990100495   accuracy 0.8227272727272728   precision 0.6111827956989248   recall 0.5985147921906815
deviation 2/5   iterations 1220/2000   F1 0.6028163928506951   accuracy 0.8181818181818182   precision 0.6127188940092165   recall 0.5959155503968379
deviation 2/5   iterations 1230/2000   F1 0.6000414630062274   accuracy 0.8056818181818182   precision 0.6179723502304147   recall 0.5905797101449275
deviation 2/5   iterations 1240/2000   F1 0.6063660117411518   accuracy 0.8352272727272727   precision 0.6059293394777265   recall 0.6068100713719271
deviation 2/5   iterations 1250/2000   F1 0.6056950185390553   accuracy 0.8181818181818182   precision 0.6168356374807988   recall 0.5981378833390105
deviation 2/5   iterations 1260/2000   F1 0.6067354148924509   accuracy 0.8193181818181818   precision 0.6174807987711214   recall 0.5993184840425532
deviation 2/5   iterations 1270/2000   F1 0.5958891369047619   accuracy 0.8204545454545454   precision 0.6016589861751152   recall 0.5913492861007741
deviation 2/5   iterations 1280/2000   F1 0.6095709801185909   accuracy 0.8193181818181818   precision 0.6215975422427036   recall 0.6014871794871794
deviation 2/5   iterations 1290/2000   F1 0.6189122273624604   accuracy 0.8352272727272727   precision 0.6223963133640553   recall 0.6157924107142857
deviation 2/5   iterations 1300/2000   F1 0.6013357530972707   accuracy 0.8102272727272727   precision 0.6164362519201229   recall 0.5925329114418532
deviation 2/5   iterations 1310/2000   F1 0.6125608348504861   accuracy 0.8318181818181818   precision 0.6163440860215054   recall 0.6092349228692412
deviation 2/5   iterations 1320/2000   F1 0.5975997834952452   accuracy 0.8329545454545455   precision 0.596405529953917   recall 0.5988583093905943
deviation 2/5   iterations 1330/2000   F1 0.613031725707782   accuracy 0.8454545454545455   precision 0.6076190476190476   recall 0.6196526895383312
deviation 2/5   iterations 1340/2000   F1 0.6015857065559469   accuracy 0.8136363636363636   precision 0.6142549923195084   recall 0.593582349447917
deviation 2/5   iterations 1350/2000   F1 0.5836982013266098   accuracy 0.7863636363636364   precision 0.6070046082949309   recall 0.575220933145587
deviation 2/5   iterations 1360/2000   F1 0.6249739478833238   accuracy 0.8443181818181819   precision 0.6234408602150537   recall 0.6265814809214174
deviation 2/5   iterations 1370/2000   F1 0.6106238308073171   accuracy 0.8204545454545454   precision 0.6222427035330261   recall 0.6026796312926435
deviation 2/5   iterations 1380/2000   F1 0.6051948051948053   accuracy 0.8272727272727273   precision 0.6096466973886329   recall 0.6014208581983518
deviation 2/5   iterations 1390/2000   F1 0.5977028754100221   accuracy 0.8443181818181819   precision 0.5905069124423963   recall 0.6078583562767266
deviation 2/5   iterations 1400/2000   F1 0.6106238308073171   accuracy 0.8204545454545454   precision 0.6222427035330261   recall 0.6026796312926435
deviation 2/5   iterations 1410/2000   F1 0.6043859649122808   accuracy 0.8136363636363636   precision 0.6183717357910906   recall 0.5957742977877206
deviation 2/5   iterations 1420/2000   F1 0.6196625298792482   accuracy 0.8329545454545455   precision 0.6252227342549923   recall 0.6149801408196425
deviation 2/5   iterations 1430/2000   F1 0.5841334793855971   accuracy 0.803409090909091   precision 0.5960983102918587   recall 0.5772849462365591
deviation 2/5   iterations 1440/2000   F1 0.5973512627257591   accuracy 0.8363636363636363   precision 0.5942242703533026   recall 0.600953246171874
deviation 2/5   iterations 1450/2000   F1 0.6085494492504767   accuracy 0.8375   precision 0.6072196620583717   recall 0.6099475780029235
deviation 2/5   iterations 1460/2000   F1 0.5987365986031408   accuracy 0.8136363636363636   precision 0.6101382488479263   recall 0.591343164932378
deviation 2/5   iterations 1470/2000   F1 0.6107599403968317   accuracy 0.8397727272727272   precision 0.608509984639017   recall 0.6132051282051282
deviation 2/5   iterations 1480/2000   F1 0.5968419662105   accuracy 0.8147727272727273   precision 0.6066666666666667   recall 0.5901761968085106
deviation 2/5   iterations 1490/2000   F1 0.6030881336473014   accuracy 0.825   precision 0.6083563748079878   recall 0.5987722776713602
deviation 2/5   iterations 1500/2000   F1 0.6074182652475941   accuracy 0.8329545454545455   precision 0.6087557603686635   recall 0.6061456534254461
deviation 2/5   iterations 1510/2000   F1 0.6141742256691056   accuracy 0.8465909090909091   precision 0.6082642089093702   recall 0.6215239461487531
deviation 2/5   iterations 1520/2000   F1 0.6103896103896104   accuracy 0.8295454545454546   precision 0.6150537634408602   recall 0.6064222790565501
deviation 2/5   iterations 1530/2000   F1 0.6020434659563356   accuracy 0.8238636363636364   precision 0.6077112135176651   recall 0.5974798701009831
deviation 2/5   iterations 1540/2000   F1 0.6015857065559469   accuracy 0.8136363636363636   precision 0.6142549923195084   recall 0.593582349447917
deviation 2/5   iterations 1550/2000   F1 0.6010418426035398   accuracy 0.8261363636363637   precision 0.6048847926267281   recall 0.5977394530713206
deviation 2/5   iterations 1560/2000   F1 0.6083994612207353   accuracy 0.8306818181818182   precision 0.6115821812596006   recall 0.6055617559523809
deviation 2/5   iterations 1570/2000   F1 0.6116598759536217   accuracy 0.8340909090909091   precision 0.6135176651305684   recall 0.6099192041790121
deviation 2/5   iterations 1580/2000   F1 0.5978515977613288   accuracy 0.8159090909090909   precision 0.6073118279569892   recall 0.5913145318986521
deviation 2/5   iterations 1590/2000   F1 0.6028163928506951   accuracy 0.8181818181818182   precision 0.6127188940092165   recall 0.5959155503968379
deviation 2/5   iterations 1600/2000   F1 0.6136558442915978   accuracy 0.8329545454545455   precision 0.6169892473118279   recall 0.6106770833333333
deviation 2/5   iterations 1610/2000   F1 0.6073251704565736   accuracy 0.8295454545454546   precision 0.6109370199692781   recall 0.6041582536257802
deviation 2/5   iterations 1620/2000   F1 0.6101628664495113   accuracy 0.8261363636363637   precision 0.6172350230414747   recall 0.6046052631578948
deviation 2/5   iterations 1630/2000   F1 0.6192287065477061   accuracy 0.8386363636363636   precision 0.6202150537634409   recall 0.6182732647410865
deviation 2/5   iterations 1640/2000   F1 0.5999710459645313   accuracy 0.821590909090909   precision 0.60642089093702   recall 0.5949561403508772
deviation 2/5   iterations 1650/2000   F1 0.6061197916666666   accuracy 0.825   precision 0.6124731182795699   recall 0.6010667078920925
deviation 2/5   iterations 1660/2000   F1 0.5986555209856181   accuracy 0.8340909090909091   precision 0.5970506912442397   recall 0.6003762122040188
deviation 2/5   iterations 1670/2000   F1 0.6082428332103234   accuracy 0.8272727272727273   precision 0.6137634408602151   recall 0.603701089939622
deviation 2/5   iterations 1680/2000   F1 0.5957006927736336   accuracy 0.8272727272727273   precision 0.5972964669738864   recall 0.5942122109972751
deviation 2/5   iterations 1690/2000   F1 0.5988663614562895   accuracy 0.8170454545454545   precision 0.6079569892473118   recall 0.5924697907456529
deviation 2/5   iterations 1700/2000   F1 0.6063660117411518   accuracy 0.8352272727272727   precision 0.6059293394777265   recall 0.6068100713719271
deviation 2/5   iterations 1710/2000   F1 0.6040324356409102   accuracy 0.8397727272727272   precision 0.6002764976958526   recall 0.6084183673469388
deviation 2/5   iterations 1720/2000   F1 0.5989253502206869   accuracy 0.8272727272727273   precision 0.6014132104454686   recall 0.5966799048723626
deviation 2/5   iterations 1730/2000   F1 0.5879773154804946   accuracy 0.8079545454545455   precision 0.598678955453149   recall 0.5813279857397504
deviation 2/5   iterations 1740/2000   F1 0.5999698953864679   accuracy 0.8284090909090909   precision 0.6020583717357911   recall 0.5980519480519481
deviation 2/5   iterations 1750/2000   F1 0.5870095738689693   accuracy 0.8068181818181818   precision 0.5980337941628264   recall 0.5802961218306811
deviation 2/5   iterations 1760/2000   F1 0.5926263877702289   accuracy 0.803409090909091   precision 0.6084485407066053   recall 0.584211229436238
deviation 2/5   iterations 1770/2000   F1 0.59264873727469   accuracy 0.8511363636363637   precision 0.5820276497695852   recall 0.6119140232043458
deviation 2/5   iterations 1780/2000   F1 0.588614573134697   accuracy 0.8193181818181818   precision 0.5927803379416283   recall 0.5851913702834447
deviation 2/5   iterations 1790/2000   F1 0.5793257739449681   accuracy 0.8011363636363636   precision 0.5906912442396313   recall 0.5729364326375711
deviation 2/5   iterations 1800/2000   F1 0.6020023790642347   accuracy 0.8340909090909091   precision 0.6011674347158218   recall 0.6028663892741563
deviation 2/5   iterations 1810/2000   F1 0.608458288271611   accuracy 0.8443181818181819   precision 0.6028571428571429   recall 0.6154546457735599
deviation 2/5   iterations 1820/2000   F1 0.600911582748382   accuracy 0.8193181818181818   precision 0.609247311827957   recall 0.5948327359617682
deviation 2/5   iterations 1830/2000   F1 0.5913945209719857   accuracy 0.8261363636363637   precision 0.5925345622119815   recall 0.5903137593552101
deviation 2/5   iterations 1840/2000   F1 0.5926303120081474   accuracy 0.8238636363636364   precision 0.5953609831029186   recall 0.5902157738095238
deviation 2/5   iterations 1850/2000   F1 0.5988663614562895   accuracy 0.8170454545454545   precision 0.6079569892473118   recall 0.5924697907456529
deviation 2/5   iterations 1860/2000   F1 0.5948051948051949   accuracy 0.8227272727272728   precision 0.5988325652841782   recall 0.5914180164819551
deviation 2/5   iterations 1870/2000   F1 0.5834399136772718   accuracy 0.8170454545454545   precision 0.5873732718894009   recall 0.5802265751940784
deviation 2/5   iterations 1880/2000   F1 0.5782488479262673   accuracy 0.8227272727272728   precision 0.5782488479262673   recall 0.5782488479262673
deviation 2/5   iterations 1890/2000   F1 0.5955441075815641   accuracy 0.8420454545454545   precision 0.5892165898617512   recall 0.6041666666666666
deviation 2/5   iterations 1900/2000   F1 0.5945847645989089   accuracy 0.8056818181818182   precision 0.6097388632872504   recall 0.5861969111969112
deviation 2/5   iterations 1910/2000   F1 0.5939633368022929   accuracy 0.8443181818181819   precision 0.5863901689708142   recall 0.6051387891840153
deviation 2/5   iterations 1920/2000   F1 0.6073251704565736   accuracy 0.8295454545454546   precision 0.6109370199692781   recall 0.6041582536257802
deviation 2/5   iterations 1930/2000   F1 0.5887897912796669   accuracy 0.8159090909090909   precision 0.5949615975422426   recall 0.5841418133908253
deviation 2/5   iterations 1940/2000   F1 0.5959595959595959   accuracy 0.8386363636363636   precision 0.5913978494623656   recall 0.6016176852345234
deviation 2/5   iterations 1950/2000   F1 0.5989253502206869   accuracy 0.8272727272727273   precision 0.6014132104454686   recall 0.5966799048723626
deviation 2/5   iterations 1960/2000   F1 0.6020434659563356   accuracy 0.8238636363636364   precision 0.6077112135176651   recall 0.5974798701009831
deviation 2/5   iterations 1970/2000   F1 0.6071831260684256   accuracy 0.8465909090909091   precision 0.6000307219662058   recall 0.6167929292929293
deviation 2/5   iterations 1980/2000   F1 0.5937892325921221   accuracy 0.821590909090909   precision 0.5981874039938556   recall 0.5901561653728109
deviation 2/5   iterations 1990/2000   F1 0.5927787345212573   accuracy 0.8204545454545454   precision 0.5975422427035331   recall 0.5889146531348366
deviation 2/5   iterations 2000/2000   F1 0.5970264134766216   accuracy 0.8397727272727272   precision 0.5920430107526882   recall 0.6033160450231737

deviation 3/5   iterations 10/2000   F1 0.44944351647299013   accuracy 0.525   precision 0.5780030721966206   recall 0.5328003968602566
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deviation 3/5   iterations 20/2000   F1 0.33325432661643084   accuracy 0.3534090909090909   precision 0.5258678955453149   recall 0.5131172262519006
deviation 3/5   iterations 30/2000   F1 0.34957077046298735   accuracy 0.375   precision 0.5340092165898618   recall 0.5165047501476034
deviation 3/5   iterations 40/2000   F1 0.4458141980406252   accuracy 0.5181818181818182   precision 0.5782488479262673   recall 0.5329391498673123
deviation 3/5   iterations 50/2000   F1 0.5397749533050886   accuracy 0.6738636363636363   precision 0.6254685099846391   recall 0.5586781609195401
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deviation 3/5   iterations 60/2000   F1 0.5226635721974706   accuracy 0.6329545454545454   precision 0.6351766513056836   recall 0.5591856060606061
deviation 3/5   iterations 70/2000   F1 0.535948178791523   accuracy 0.6556818181818181   precision 0.6398463901689708   recall 0.5628534817956875
deviation 3/5   iterations 80/2000   F1 0.5576008352991222   accuracy 0.6897727272727273   precision 0.6509677419354838   recall 0.5713066796684544
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deviation 3/5   iterations 90/2000   F1 0.5416376318882812   accuracy 0.6636363636363637   precision 0.6443625192012289   recall 0.565467930605944
deviation 3/5   iterations 100/2000   F1 0.5677433560866546   accuracy 0.7034090909090909   precision 0.6587096774193548   recall 0.5765850708033872
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deviation 3/5   iterations 110/2000   F1 0.5673238938639766   accuracy 0.696590909090909   precision 0.6671889400921659   recall 0.5789684474472383
deviation 3/5   iterations 120/2000   F1 0.5659222941341806   accuracy 0.6988636363636364   precision 0.6602457757296467   recall 0.5764827327327327
deviation 3/5   iterations 130/2000   F1 0.5508252485846054   accuracy 0.678409090909091   precision 0.6486328725038403   recall 0.5688608776844071
deviation 3/5   iterations 140/2000   F1 0.5608418548207403   accuracy 0.6920454545454545   precision 0.6563748079877112   recall 0.5738606022613824
deviation 3/5   iterations 150/2000   F1 0.49951490415175137   accuracy 0.5943181818181819   precision 0.6255913978494623   recall 0.5534250585480094
deviation 3/5   iterations 160/2000   F1 0.5061896098645644   accuracy 0.6056818181818182   precision 0.627926267281106   recall 0.5547894736842105
deviation 3/5   iterations 170/2000   F1 0.5577633346348354   accuracy 0.6943181818181818   precision 0.6453149001536098   recall 0.5696063196063196
deviation 3/5   iterations 180/2000   F1 0.49715947996996557   accuracy 0.5875   precision 0.6299539170506913   recall 0.5550334103540873
deviation 3/5   iterations 190/2000   F1 0.5361112716484617   accuracy 0.6579545454545455   precision 0.6370199692780338   recall 0.5618949285016431
deviation 3/5   iterations 200/2000   F1 0.5231032942091842   accuracy 0.6375   precision 0.6295238095238096   recall 0.5571633113502257
deviation 3/5   iterations 210/2000   F1 0.5486485100271837   accuracy 0.6818181818181818   precision 0.6382181259600614   recall 0.564957753636999
deviation 3/5   iterations 220/2000   F1 0.5808697937196163   accuracy 0.7363636363636363   precision 0.6486021505376345   recall 0.5789332828543268
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deviation 3/5   iterations 230/2000   F1 0.4771766200337629   accuracy 0.5556818181818182   precision 0.6201228878648234   recall 0.5505000929924986
deviation 3/5   iterations 240/2000   F1 0.4998647201307652   accuracy 0.5965909090909091   precision 0.6227649769585253   recall 0.5523321599195373
deviation 3/5   iterations 250/2000   F1 0.584790294537769   accuracy 0.7511363636363636   precision 0.6405222734254992   recall 0.579235843565509
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deviation 3/5   iterations 260/2000   F1 0.5610513395817881   accuracy 0.696590909090909   precision 0.6507219662058372   recall 0.5721963221963222
deviation 3/5   iterations 270/2000   F1 0.5215120796516145   accuracy 0.6238636363636364   precision 0.6464823348694317   recall 0.5632642663043478
deviation 3/5   iterations 280/2000   F1 0.5157297482878878   accuracy 0.6193181818181818   precision 0.6356682027649769   recall 0.55859375
deviation 3/5   iterations 290/2000   F1 0.5491730345076765   accuracy 0.6761363636363636   precision 0.6473425499231951   recall 0.5680569430569431
deviation 3/5   iterations 300/2000   F1 0.5782268804901378   accuracy 0.7329545454545454   precision 0.6466666666666667   recall 0.5773012254203477
deviation 3/5   iterations 310/2000   F1 0.579773579869503   accuracy 0.7397727272727272   precision 0.6423041474654377   recall 0.5770274584929758
deviation 3/5   iterations 320/2000   F1 0.5763814205971219   accuracy 0.7329545454545454   precision 0.6425499231950844   recall 0.5755208333333334
deviation 3/5   iterations 330/2000   F1 0.5528379825207803   accuracy 0.6920454545454545   precision 0.6357910906298003   recall 0.5652826354097741
deviation 3/5   iterations 340/2000   F1 0.5462378051410133   accuracy 0.6875   precision 0.6249769585253456   recall 0.5600836563002174
deviation 3/5   iterations 350/2000   F1 0.5470837406321278   accuracy 0.6840909090909091   precision 0.6312749615975423   recall 0.5623253344535266
deviation 3/5   iterations 360/2000   F1 0.5668875444156343   accuracy 0.7204545454545455   precision 0.635453149001536   recall 0.5698161250071258
deviation 3/5   iterations 370/2000   F1 0.5417932969204939   accuracy 0.6659090909090909   precision 0.6415360983102919   recall 0.5645342940869945
deviation 3/5   iterations 380/2000   F1 0.5803014198893522   accuracy 0.7613636363636364   precision 0.6216282642089094   recall 0.5735594681570557
deviation 3/5   iterations 390/2000   F1 0.5785135916714864   accuracy 0.759090909090909   precision 0.6203379416282642   recall 0.5722592404017148
deviation 3/5   iterations 400/2000   F1 0.5515519282483086   accuracy 0.7045454545454546   precision 0.6181874039938555   recall 0.5595293360320378
deviation 3/5   iterations 410/2000   F1 0.5699447919400927   accuracy 0.7397727272727272   precision 0.6217204301075269   recall 0.5678071688709987
deviation 3/5   iterations 420/2000   F1 0.5704087838919301   accuracy 0.7227272727272728   precision 0.6408602150537634   recall 0.5726030694392541
deviation 3/5   iterations 430/2000   F1 0.5834841439986636   accuracy 0.7681818181818182   precision 0.6213824884792627   recall 0.5756322789607884
deviation 3/5   iterations 440/2000   F1 0.6053771440801476   accuracy 0.8   precision 0.6312135176651306   recall 0.5940657733611721
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deviation 3/5   iterations 450/2000   F1 0.5349128857437184   accuracy 0.6647727272727273   precision 0.6244239631336406   recall 0.5573005093378608
deviation 3/5   iterations 460/2000   F1 0.517739709344808   accuracy 0.6318181818181818   precision 0.6221812596006144   recall 0.5537574817113722
deviation 3/5   iterations 470/2000   F1 0.5657533217312194   accuracy 0.7238636363636364   precision 0.6291551459293394   recall 0.5677260542323951
deviation 3/5   iterations 480/2000   F1 0.5794061218064154   accuracy 0.7602272727272728   precision 0.6209831029185868   recall 0.5729064841968068
deviation 3/5   iterations 490/2000   F1 0.5760416666666666   accuracy 0.7477272727272727   precision 0.6262365591397849   recall 0.5718482252141983
deviation 3/5   iterations 500/2000   F1 0.5876063038953315   accuracy 0.7761363636363636   precision 0.6217818740399386   recall 0.5786507936507936
deviation 3/5   iterations 510/2000   F1 0.6028717948717949   accuracy 0.8   precision 0.6270967741935485   recall 0.592035595105673
deviation 3/5   iterations 520/2000   F1 0.594087299616086   accuracy 0.7784090909090909   precision 0.631305683563748   recall 0.58411001605844
deviation 3/5   iterations 530/2000   F1 0.629894856493322   accuracy 0.8318181818181818   precision 0.6410445468509984   recall 0.621615894039735
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deviation 3/5   iterations 540/2000   F1 0.5743576649457464   accuracy 0.7352272727272727   precision 0.6356067588325653   recall 0.5730001852292874
deviation 3/5   iterations 550/2000   F1 0.5866819747416763   accuracy 0.775   precision 0.621136712749616   recall 0.5779131988080841
deviation 3/5   iterations 560/2000   F1 0.6149853341307009   accuracy 0.8079545454545455   precision 0.6398463901689708   recall 0.6028412377096588
deviation 3/5   iterations 570/2000   F1 0.5976260684558248   accuracy 0.7772727272727272   precision 0.6388940092165899   recall 0.5872167048637638
deviation 3/5   iterations 580/2000   F1 0.5843947970248773   accuracy 0.7693181818181818   precision 0.6220276497695852   recall 0.5763282499077604
deviation 3/5   iterations 590/2000   F1 0.5903991401069109   accuracy 0.7795454545454545   precision 0.6237173579109063   recall 0.5809082945568227
deviation 3/5   iterations 600/2000   F1 0.590017825311943   accuracy 0.7909090909090909   precision 0.6137019969278034   recall 0.580709880581652
deviation 3/5   iterations 610/2000   F1 0.5975142928163062   accuracy 0.7909090909090909   precision 0.62605222734255   recall 0.5869463869463869
deviation 3/5   iterations 620/2000   F1 0.6193930938262993   accuracy 0.8238636363636364   precision 0.6324116743471582   recall 0.6105128205128205
deviation 3/5   iterations 630/2000   F1 0.6126605578008083   accuracy 0.8   precision 0.643563748079877   recall 0.5999606403641622
deviation 3/5   iterations 640/2000   F1 0.630589138361159   accuracy 0.8409090909090909   precision 0.6338556067588326   recall 0.627608102250495
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deviation 3/5   iterations 650/2000   F1 0.6024137139829355   accuracy 0.7829545454545455   precision 0.6421198156682028   recall 0.5910371863093926
deviation 3/5   iterations 660/2000   F1 0.6288616314624117   accuracy 0.8363636363636363   precision 0.6353917050691245   recall 0.6234163390126692
deviation 3/5   iterations 670/2000   F1 0.6082589732303629   accuracy 0.7977272727272727   precision 0.6381566820276497   recall 0.5961958056318505
deviation 3/5   iterations 680/2000   F1 0.6439748212139602   accuracy 0.8454545454545455   precision 0.6487864823348695   recall 0.6396949383300066
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deviation 3/5   iterations 690/2000   F1 0.6052726141767797   accuracy 0.7943181818181818   precision 0.636221198156682   recall 0.5935253619520097
deviation 3/5   iterations 700/2000   F1 0.6096489968374932   accuracy 0.8420454545454545   precision 0.6056835637480799   recall 0.6142644557823129
deviation 3/5   iterations 710/2000   F1 0.6023105053191489   accuracy 0.8022727272727272   precision 0.6242703533026114   recall 0.5918658418045222
deviation 3/5   iterations 720/2000   F1 0.5936772406204871   accuracy 0.7863636363636364   precision 0.6234715821812595   recall 0.5836183723233382
deviation 3/5   iterations 730/2000   F1 0.6234420095232025   accuracy 0.8397727272727272   precision 0.6249769585253456   recall 0.6219775474956822
deviation 3/5   iterations 740/2000   F1 0.6089134276542125   accuracy 0.8068181818181818   precision 0.6309677419354839   recall 0.5978479420486784
deviation 3/5   iterations 750/2000   F1 0.6427539126565793   accuracy 0.8579545454545454   precision 0.635299539170507   recall 0.6518704480247186
deviation 3/5   iterations 760/2000   F1 0.6329387868602725   accuracy 0.8431818181818181   precision 0.6351459293394778   recall 0.6308618617546615
deviation 3/5   iterations 770/2000   F1 0.643439054458305   accuracy 0.8397727272727272   precision 0.6537941628264209   recall 0.6353324105713914
deviation 3/5   iterations 780/2000   F1 0.642251843708488   accuracy 0.8386363636363636   precision 0.6531490015360983   recall 0.6338456251141111
deviation 3/5   iterations 790/2000   F1 0.6246416537987177   accuracy 0.8534090909090909   precision 0.6162519201228879   recall 0.6357323232323233
deviation 3/5   iterations 800/2000   F1 0.6135515592375564   accuracy 0.8147727272727273   precision 0.6313671274961598   recall 0.6031853281853282
deviation 3/5   iterations 810/2000   F1 0.6215755879153773   accuracy 0.8261363636363637   precision 0.6337019969278034   recall 0.613031914893617
deviation 3/5   iterations 820/2000   F1 0.6172248803827751   accuracy 0.8397727272727272   precision 0.6167434715821812   recall 0.6177141157811261
deviation 3/5   iterations 830/2000   F1 0.6185522323363676   accuracy 0.8318181818181818   precision 0.6245775729646698   recall 0.6135587144761456
deviation 3/5   iterations 840/2000   F1 0.6282678280322231   accuracy 0.8386363636363636   precision 0.6325652841781874   recall 0.6244649305996238
deviation 3/5   iterations 850/2000   F1 0.6222993314069472   accuracy 0.8386363636363636   precision 0.6243317972350231   recall 0.6203905329668369
deviation 3/5   iterations 860/2000   F1 0.6214657738095237   accuracy 0.8318181818181818   precision 0.628694316436252   recall 0.6156428405790699
deviation 3/5   iterations 870/2000   F1 0.6292624900872323   accuracy 0.8454545454545455   precision 0.6282027649769586   recall 0.6303557371518537
deviation 3/5   iterations 880/2000   F1 0.614602707729573   accuracy 0.8159090909090909   precision 0.6320122887864823   recall 0.6042971290983408
deviation 3/5   iterations 890/2000   F1 0.6383656183828719   accuracy 0.8511363636363637   precision 0.6355453149001536   recall 0.6414102564102564
deviation 3/5   iterations 900/2000   F1 0.6226543147035868   accuracy 0.8420454545454545   precision 0.6221505376344086   recall 0.6231661379857256
deviation 3/5   iterations 910/2000   F1 0.6030544189193543   accuracy 0.8090909090909091   precision 0.6199078341013825   recall 0.5936429332335244
deviation 3/5   iterations 920/2000   F1 0.609479946267511   accuracy 0.8318181818181818   precision 0.6122273425499232   recall 0.6069893039984067
deviation 3/5   iterations 930/2000   F1 0.613031725707782   accuracy 0.8454545454545455   precision 0.6076190476190476   recall 0.6196526895383312
deviation 3/5   iterations 940/2000   F1 0.6375425170068028   accuracy 0.8590909090909091   precision 0.6277112135176651   recall 0.6506355901494398
deviation 3/5   iterations 950/2000   F1 0.6257484571914613   accuracy 0.8420454545454545   precision 0.6262672811059908   recall 0.6252376773438643
deviation 3/5   iterations 960/2000   F1 0.6288939894861881   accuracy 0.8511363636363637   precision 0.6231950844854071   recall 0.6356856694277516
deviation 3/5   iterations 970/2000   F1 0.6069514373883386   accuracy 0.85   precision 0.5978494623655914   recall 0.6203685507399737
deviation 3/5   iterations 980/2000   F1 0.6151491297122365   accuracy 0.8409090909090909   precision 0.6132718894009217   recall 0.6171532429237789
deviation 3/5   iterations 990/2000   F1 0.6140242821280925   accuracy 0.8397727272727272   precision 0.612626728110599   recall 0.6154922123090881
deviation 3/5   iterations 1000/2000   F1 0.6141581632653061   accuracy 0.85   precision 0.6060829493087557   recall 0.6251250163064748
deviation 3/5   iterations 1010/2000   F1 0.6118550117839133   accuracy 0.8477272727272728   precision 0.6047926267281105   recall 0.6211309819741757
deviation 3/5   iterations 1020/2000   F1 0.6141581632653061   accuracy 0.85   precision 0.6060829493087557   recall 0.6251250163064748
deviation 3/5   iterations 1030/2000   F1 0.6103989703989704   accuracy 0.8534090909090909   precision 0.5997849462365591   recall 0.6268750000000001
deviation 3/5   iterations 1040/2000   F1 0.6153217275818459   accuracy 0.8511363636363637   precision 0.6067281105990783   recall 0.627189385507586
deviation 3/5   iterations 1050/2000   F1 0.6188619998917222   accuracy 0.8545454545454545   precision 0.608663594470046   recall 0.6336714486553491
deviation 3/5   iterations 1060/2000   F1 0.616493462956755   accuracy 0.8522727272727273   precision 0.6073732718894009   recall 0.6293007769145395
deviation 3/5   iterations 1070/2000   F1 0.6164392964392964   accuracy 0.8556818181818182   precision 0.6051920122887865   recall 0.63375
deviation 3/5   iterations 1080/2000   F1 0.6151141186638163   accuracy 0.8579545454545454   precision 0.6023655913978495   recall 0.6363249541764859
deviation 3/5   iterations 1090/2000   F1 0.6211946783057871   accuracy 0.8534090909090909   precision 0.6121351766513057   recall 0.6336330619178724
deviation 3/5   iterations 1100/2000   F1 0.6140757638083841   accuracy 0.8534090909090909   precision 0.6039016897081413   recall 0.6292102206736353
deviation 3/5   iterations 1110/2000   F1 0.6188619998917222   accuracy 0.8545454545454545   precision 0.608663594470046   recall 0.6336714486553491
deviation 3/5   iterations 1120/2000   F1 0.6039381153305203   accuracy 0.8545454545454545   precision 0.5921966205837174   recall 0.6242650103519669
deviation 3/5   iterations 1130/2000   F1 0.6043586443586444   accuracy 0.8511363636363637   precision 0.5943778801843318   recall 0.62
deviation 3/5   iterations 1140/2000   F1 0.6307725623951059   accuracy 0.8590909090909091   precision 0.6194777265745008   recall 0.6469743465707245
deviation 3/5   iterations 1150/2000   F1 0.6299633567609779   accuracy 0.8647727272727272   precision 0.6144700460829493   recall 0.6561766481121319
deviation 3/5   iterations 1160/2000   F1 0.6188619998917222   accuracy 0.8545454545454545   precision 0.608663594470046   recall 0.6336714486553491
deviation 3/5   iterations 1170/2000   F1 0.5963004069552349   accuracy 0.8590909090909091   precision 0.5824270353302612   recall 0.6266163284568192
deviation 3/5   iterations 1180/2000   F1 0.5951700101943551   accuracy 0.8579545454545454   precision 0.5817818740399385   recall 0.6238738738738738
deviation 3/5   iterations 1190/2000   F1 0.5965523565010087   accuracy 0.8636363636363636   precision 0.5808909370199693   recall 0.6358925659076364
deviation 3/5   iterations 1200/2000   F1 0.6125608348504861   accuracy 0.8318181818181818   precision 0.6163440860215054   recall 0.6092349228692412
deviation 3/5   iterations 1210/2000   F1 0.5955375423056032   accuracy 0.85   precision 0.5854992319508449   recall 0.6125244618395304
deviation 3/5   iterations 1220/2000   F1 0.6050869437701194   accuracy 0.8556818181818182   precision 0.5928417818740399   recall 0.6266682315069412
deviation 3/5   iterations 1230/2000   F1 0.611745964387594   accuracy 0.8511363636363637   precision 0.6026113671274962   recall 0.624880354151711
deviation 3/5   iterations 1240/2000   F1 0.6058184218591602   accuracy 0.8488636363636364   precision 0.5972043010752688   recall 0.6182998324958124
deviation 3/5   iterations 1250/2000   F1 0.6022727272727273   accuracy 0.8568181818181818   precision 0.5893701996927804   recall 0.6266125803025819
deviation 3/5   iterations 1260/2000   F1 0.6050869437701194   accuracy 0.8556818181818182   precision 0.5928417818740399   recall 0.6266682315069412
deviation 3/5   iterations 1270/2000   F1 0.6115647759876407   accuracy 0.8545454545454545   precision 0.6004301075268818   recall 0.6291502710219821
deviation 3/5   iterations 1280/2000   F1 0.6034249662009914   accuracy 0.8579545454545454   precision 0.5900153609831029   recall 0.6291887125220459
deviation 3/5   iterations 1290/2000   F1 0.6046932618169628   accuracy 0.8477272727272728   precision 0.5965591397849462   recall 0.6162782093969663
deviation 3/5   iterations 1300/2000   F1 0.6058184218591602   accuracy 0.8488636363636364   precision 0.5972043010752688   recall 0.6182998324958124
deviation 3/5   iterations 1310/2000   F1 0.6034249662009914   accuracy 0.8579545454545454   precision 0.5900153609831029   recall 0.6291887125220459
deviation 3/5   iterations 1320/2000   F1 0.6107151634308183   accuracy 0.8465909090909091   precision 0.6041474654377881   recall 0.619198312236287
deviation 3/5   iterations 1330/2000   F1 0.5983183183183183   accuracy 0.8488636363636364   precision 0.5889708141321044   recall 0.613125
deviation 3/5   iterations 1340/2000   F1 0.5937442293214392   accuracy 0.8522727272727273   precision 0.5826728110599079   recall 0.6141976880378877
deviation 3/5   iterations 1350/2000   F1 0.595959595959596   accuracy 0.8545454545454545   precision 0.583963133640553   recall 0.6189522798098852
deviation 3/5   iterations 1360/2000   F1 0.6272765777213045   accuracy 0.8590909090909091   precision 0.6153609831029185   recall 0.6450501398352879
deviation 3/5   iterations 1370/2000   F1 0.6027977704610583   accuracy 0.8534090909090909   precision 0.5915514592933948   recall 0.6219232783451165
deviation 3/5   iterations 1380/2000   F1 0.5918308185125596   accuracy 0.8545454545454545   precision 0.5798463901689708   recall 0.6161117961364571
deviation 3/5   iterations 1390/2000   F1 0.5948478002505434   accuracy 0.8534090909090909   precision 0.5833179723502304   recall 0.616542904290429
deviation 3/5   iterations 1400/2000   F1 0.608458288271611   accuracy 0.8443181818181819   precision 0.6028571428571429   recall 0.6154546457735599
deviation 3/5   iterations 1410/2000   F1 0.6050869437701194   accuracy 0.8556818181818182   precision 0.5928417818740399   recall 0.6266682315069412
deviation 3/5   iterations 1420/2000   F1 0.6237033767380269   accuracy 0.8590909090909091   precision 0.6112442396313365   recall 0.6430569383207699
deviation 3/5   iterations 1430/2000   F1 0.6129067186400303   accuracy 0.8522727272727273   precision 0.6032565284178187   recall 0.6270199996976614
deviation 3/5   iterations 1440/2000   F1 0.6246416537987177   accuracy 0.8534090909090909   precision 0.6162519201228879   recall 0.6357323232323233
deviation 3/5   iterations 1450/2000   F1 0.6057563075712709   accuracy 0.8602272727272727   precision 0.591305683563748   recall 0.6345624456679224
deviation 3/5   iterations 1460/2000   F1 0.6011292297040234   accuracy 0.8556818181818182   precision 0.5887250384024577   recall 0.6241061606160616
deviation 3/5   iterations 1470/2000   F1 0.5977496483825598   accuracy 0.8522727272727273   precision 0.58678955453149   recall 0.6169772256728778
deviation 3/5   iterations 1480/2000   F1 0.6211946783057871   accuracy 0.8534090909090909   precision 0.6121351766513057   recall 0.6336330619178724
deviation 3/5   iterations 1490/2000   F1 0.5966395963596793   accuracy 0.8511363636363637   precision 0.5861443932411674   recall 0.6147224404294318
deviation 3/5   iterations 1500/2000   F1 0.5977028754100221   accuracy 0.8443181818181819   precision 0.5905069124423963   recall 0.6078583562767266
deviation 3/5   iterations 1510/2000   F1 0.5696558469344092   accuracy 0.8545454545454545   precision 0.5592626728110599   recall 0.5995582072297116
deviation 3/5   iterations 1520/2000   F1 0.5948478002505434   accuracy 0.8534090909090909   precision 0.5833179723502304   recall 0.616542904290429
deviation 3/5   iterations 1530/2000   F1 0.5983183183183183   accuracy 0.8488636363636364   precision 0.5889708141321044   recall 0.613125
deviation 3/5   iterations 1540/2000   F1 0.5993458410277144   accuracy 0.8579545454545454   precision 0.5858986175115207   recall 0.6265937409446537
deviation 3/5   iterations 1550/2000   F1 0.5983183183183183   accuracy 0.8488636363636364   precision 0.5889708141321044   recall 0.613125
deviation 3/5   iterations 1560/2000   F1 0.5843483500013017   accuracy 0.8556818181818182   precision 0.572258064516129   recall 0.6125919117647058
deviation 3/5   iterations 1570/2000   F1 0.6016657613615789   accuracy 0.8522727272727273   precision 0.5909062980030722   recall 0.6196406333392634
deviation 3/5   iterations 1580/2000   F1 0.5912065691136889   accuracy 0.8454545454545455   precision 0.5829185867895545   recall 0.6042584094315425
deviation 3/5   iterations 1590/2000   F1 0.6074106591575033   accuracy 0.8579545454545454   precision 0.5941321044546851   recall 0.6316694169416942
deviation 3/5   iterations 1600/2000   F1 0.6016657613615789   accuracy 0.8522727272727273   precision 0.5909062980030722   recall 0.6196406333392634
deviation 3/5   iterations 1610/2000   F1 0.5876101646233618   accuracy 0.8590909090909091   precision 0.5741935483870968   recall 0.6208490962589324
deviation 3/5   iterations 1620/2000   F1 0.576379974326059   accuracy 0.8568181818181818   precision 0.5646697388632872   recall 0.6086417968991927
deviation 3/5   iterations 1630/2000   F1 0.6153243906258156   accuracy 0.8477272727272728   precision 0.6089093701996928   recall 0.6234348667808745
deviation 3/5   iterations 1640/2000   F1 0.5920076573342905   accuracy 0.8590909090909091   precision 0.578310291858679   recall 0.6238075809679237
deviation 3/5   iterations 1650/2000   F1 0.6089559445624372   accuracy 0.8556818181818182   precision 0.5969585253456221   recall 0.6291241162608012
deviation 3/5   iterations 1660/2000   F1 0.5993458410277144   accuracy 0.8579545454545454   precision 0.5858986175115207   recall 0.6265937409446537
deviation 3/5   iterations 1670/2000   F1 0.6077939804175545   accuracy 0.8545454545454545   precision 0.5963133640552996   recall 0.6267568048389967
deviation 3/5   iterations 1680/2000   F1 0.611306047017834   accuracy 0.8579545454545454   precision 0.5982488479262673   recall 0.6340453356582388
deviation 3/5   iterations 1690/2000   F1 0.6121667741148274   accuracy 0.8625   precision 0.5967127496159754   recall 0.642531150391191
deviation 3/5   iterations 1700/2000   F1 0.6011292297040234   accuracy 0.8556818181818182   precision 0.5887250384024577   recall 0.6241061606160616
deviation 3/5   iterations 1710/2000   F1 0.5942616135810495   accuracy 0.8613636363636363   precision 0.5796006144393241   recall 0.6296563181809084
deviation 3/5   iterations 1720/2000   F1 0.5918308185125596   accuracy 0.8545454545454545   precision 0.5798463901689708   recall 0.6161117961364571
deviation 3/5   iterations 1730/2000   F1 0.5841896808048833   accuracy 0.8602272727272727   precision 0.5707219662058372   recall 0.6207106300864167
deviation 3/5   iterations 1740/2000   F1 0.6103989703989704   accuracy 0.8534090909090909   precision 0.5997849462365591   recall 0.6268750000000001
deviation 3/5   iterations 1750/2000   F1 0.598588178990189   accuracy 0.8613636363636363   precision 0.5837173579109063   recall 0.6323560840084708
deviation 3/5   iterations 1760/2000   F1 0.5931301239329251   accuracy 0.8602272727272727   precision 0.5789554531490015   recall 0.6266858585061914
deviation 3/5   iterations 1770/2000   F1 0.5929353744841577   accuracy 0.8556818181818182   precision 0.5804915514592934   recall 0.6186250362213851
deviation 3/5   iterations 1780/2000   F1 0.6032299053162273   accuracy 0.85   precision 0.5937327188940091   recall 0.6178556528994577
deviation 3/5   iterations 1790/2000   F1 0.5951700101943551   accuracy 0.8579545454545454   precision 0.5817818740399385   recall 0.6238738738738738
deviation 3/5   iterations 1800/2000   F1 0.5951700101943551   accuracy 0.8579545454545454   precision 0.5817818740399385   recall 0.6238738738738738
deviation 3/5   iterations 1810/2000   F1 0.6105933623868589   accuracy 0.85   precision 0.6019662058371735   recall 0.6227894931557529
deviation 3/5   iterations 1820/2000   F1 0.5942616135810495   accuracy 0.8613636363636363   precision 0.5796006144393241   recall 0.6296563181809084
deviation 3/5   iterations 1830/2000   F1 0.6083120748299319   accuracy 0.8477272727272728   precision 0.6006758832565284   recall 0.6187473728457334
deviation 3/5   iterations 1840/2000   F1 0.5647112641745916   accuracy 0.8488636363636364   precision 0.556036866359447   recall 0.5873161764705883
deviation 3/5   iterations 1850/2000   F1 0.5970797656602073   accuracy 0.8556818181818182   precision 0.5846082949308756   recall 0.6214285714285714
deviation 3/5   iterations 1860/2000   F1 0.5778026547257316   accuracy 0.8534090909090909   precision 0.5668509984639016   recall 0.6041666666666667
deviation 3/5   iterations 1870/2000   F1 0.5832778394376619   accuracy 0.8545454545454545   precision 0.5716129032258065   recall 0.6100047192071733
deviation 3/5   iterations 1880/2000   F1 0.6107151634308183   accuracy 0.8465909090909091   precision 0.6041474654377881   recall 0.619198312236287
deviation 3/5   iterations 1890/2000   F1 0.5784854524946307   accuracy 0.8590909090909091   precision 0.5659600614439324   recall 0.6144187930336168
deviation 3/5   iterations 1900/2000   F1 0.5948478002505434   accuracy 0.8534090909090909   precision 0.5833179723502304   recall 0.616542904290429
deviation 3/5   iterations 1910/2000   F1 0.5812440517620989   accuracy 0.8477272727272728   precision 0.5718586789554532   recall 0.599259900527915
deviation 3/5   iterations 1920/2000   F1 0.5722660923665949   accuracy 0.8522727272727273   precision 0.5620890937019969   recall 0.5981620718462823
deviation 3/5   iterations 1930/2000   F1 0.5580895872927579   accuracy 0.8522727272727273   precision 0.5497388632872504   recall 0.5862804033169193
deviation 3/5   iterations 1940/2000   F1 0.5904814222583004   accuracy 0.8488636363636364   precision 0.5807373271889401   recall 0.6075216025137471
deviation 3/5   iterations 1950/2000   F1 0.5865143535903711   accuracy 0.8579545454545454   precision 0.5735483870967742   recall 0.6180100954333938
deviation 3/5   iterations 1960/2000   F1 0.5907345651194231   accuracy 0.8534090909090909   precision 0.5792012288786482   recall 0.613668430335097
deviation 3/5   iterations 1970/2000   F1 0.5865249079406012   accuracy 0.8534090909090909   precision 0.575084485407066   recall 0.6106563314981165
deviation 3/5   iterations 1980/2000   F1 0.5937442293214392   accuracy 0.8522727272727273   precision 0.5826728110599079   recall 0.6141976880378877
deviation 3/5   iterations 1990/2000   F1 0.5929353744841577   accuracy 0.8556818181818182   precision 0.5804915514592934   recall 0.6186250362213851
deviation 3/5   iterations 2000/2000   F1 0.585427135678392   accuracy 0.8568181818181818   precision 0.5729032258064516   recall 0.6152590779273766

deviation 4/5   iterations 10/2000   F1 0.261251457442674   accuracy 0.2636363636363636   precision 0.5243010752688172   recall 0.5175973303670746
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deviation 4/5   iterations 20/2000   F1 0.3895725033449584   accuracy 0.425   precision 0.5747465437788019   recall 0.5340811672484606
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deviation 4/5   iterations 30/2000   F1 0.48464887391783984   accuracy 0.5602272727272727   precision 0.6391705069124425   recall 0.5584981094650716
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deviation 4/5   iterations 40/2000   F1 0.41640334598387196   accuracy 0.4590909090909091   precision 0.6023348694316436   recall 0.5452112209608504
deviation 4/5   iterations 50/2000   F1 0.4672707642590648   accuracy 0.5329545454545455   precision 0.6319201228878648   recall 0.5556436731562687
deviation 4/5   iterations 60/2000   F1 0.5320158102766798   accuracy 0.6215909090909091   precision 0.6863594470046084   recall 0.5793563579277865
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deviation 4/5   iterations 70/2000   F1 0.5945323299032407   accuracy 0.7238636363636364   precision 0.6991397849462365   recall 0.5968295131336792
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deviation 4/5   iterations 80/2000   F1 0.5051172312553345   accuracy 0.5829545454545455   precision 0.6685407066052227   recall 0.5709137349796282
deviation 4/5   iterations 90/2000   F1 0.5342806488317324   accuracy 0.6363636363636364   precision 0.6659293394777266   recall 0.5719477170154152
deviation 4/5   iterations 100/2000   F1 0.5292050944224858   accuracy 0.6193181818181818   precision 0.680952380952381   recall 0.5770538984824699
deviation 4/5   iterations 110/2000   F1 0.5461916878710772   accuracy 0.6545454545454545   precision 0.6721351766513057   recall 0.5758905593932006
deviation 4/5   iterations 120/2000   F1 0.587936507936508   accuracy 0.7318181818181818   precision 0.6707219662058372   recall 0.5871686274509804
deviation 4/5   iterations 130/2000   F1 0.5613007585899152   accuracy 0.675   precision 0.6837480798771121   recall 0.5826877028828021
deviation 4/5   iterations 140/2000   F1 0.556146978021978   accuracy 0.6795454545454546   precision 0.6616282642089093   recall 0.5743251261591669
deviation 4/5   iterations 150/2000   F1 0.5523512766438072   accuracy 0.6647727272727273   precision 0.6738248847926267   recall 0.5775646509179443
deviation 4/5   iterations 160/2000   F1 0.5456892101187403   accuracy 0.6556818181818181   precision 0.6686635944700461   recall 0.5745940129133242
deviation 4/5   iterations 170/2000   F1 0.5736434108527132   accuracy 0.7090909090909091   precision 0.66605222734255   recall 0.5805855235300783
deviation 4/5   iterations 180/2000   F1 0.5880954706782586   accuracy 0.7386363636363636   precision 0.6622427035330261   recall 0.5852924265622679
deviation 4/5   iterations 190/2000   F1 0.6026512013256007   accuracy 0.7522727272727273   precision 0.6782181259600615   recall 0.5956787069107702
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deviation 4/5   iterations 200/2000   F1 0.5546051744398852   accuracy 0.6715909090909091   precision 0.6694623655913978   recall 0.5765498712141398
deviation 4/5   iterations 210/2000   F1 0.5171498570845243   accuracy 0.6090909090909091   precision 0.6586789554531489   recall 0.5675343490290221
deviation 4/5   iterations 220/2000   F1 0.5567728995032738   accuracy 0.678409090909091   precision 0.665099846390169   recall 0.5755947424095789
deviation 4/5   iterations 230/2000   F1 0.5818347022321899   accuracy 0.7284090909090909   precision 0.6605529953917051   recall 0.5821677442076929
deviation 4/5   iterations 240/2000   F1 0.5599230634726351   accuracy 0.675   precision 0.67963133640553   recall 0.5810395010395011
deviation 4/5   iterations 250/2000   F1 0.5867703028678639   accuracy 0.7511363636363636   precision 0.6446390168970815   recall 0.581060606060606
deviation 4/5   iterations 260/2000   F1 0.5449103493223952   accuracy 0.6681818181818182   precision 0.6469431643625192   recall 0.5669996806203809
deviation 4/5   iterations 270/2000   F1 0.5212311199772015   accuracy 0.6181818181818182   precision 0.6556067588325654   recall 0.5666872060628084
deviation 4/5   iterations 280/2000   F1 0.5234428176095629   accuracy 0.6284090909090909   precision 0.6449462365591397   recall 0.5629012990891444
deviation 4/5   iterations 290/2000   F1 0.5558106692178033   accuracy 0.6852272727272727   precision 0.6525038402457757   recall 0.5713218390804597
deviation 4/5   iterations 300/2000   F1 0.5654019183430948   accuracy 0.7090909090909091   precision 0.645468509984639   recall 0.5720222196533199
deviation 4/5   iterations 310/2000   F1 0.5679013525054499   accuracy 0.7079545454545455   precision 0.6530568356374808   recall 0.5750102382501023
deviation 4/5   iterations 320/2000   F1 0.5737683566148937   accuracy 0.7295454545454545   precision 0.6406144393241168   recall 0.5739222564619391
deviation 4/5   iterations 330/2000   F1 0.583605359463814   accuracy 0.7306818181818182   precision 0.6618433179723502   recall 0.583219593569912
deviation 4/5   iterations 340/2000   F1 0.5274781715459682   accuracy 0.634090909090909   precision 0.6481720430107527   recall 0.5645784126270011
deviation 4/5   iterations 350/2000   F1 0.5696538713561973   accuracy 0.7125   precision 0.651520737327189   recall 0.5751755926251098
deviation 4/5   iterations 360/2000   F1 0.5754194499751966   accuracy 0.7579545454545454   precision 0.6155760368663594   recall 0.5696480938416422
deviation 4/5   iterations 370/2000   F1 0.5711720526137154   accuracy 0.7079545454545455   precision 0.6612903225806451   recall 0.5784256315877531
deviation 4/5   iterations 380/2000   F1 0.5879628705016654   accuracy 0.7602272727272728   precision 0.6374500768049155   recall 0.5805580363573507
deviation 4/5   iterations 390/2000   F1 0.5611760817273247   accuracy 0.7034090909090909   precision 0.642242703533026   recall 0.5697104381971043
deviation 4/5   iterations 400/2000   F1 0.5708915686447984   accuracy 0.7306818181818182   precision 0.6330261136712749   recall 0.5708460954475248
deviation 4/5   iterations 410/2000   F1 0.6028717948717949   accuracy 0.8   precision 0.6270967741935485   recall 0.592035595105673
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deviation 4/5   iterations 420/2000   F1 0.5783171731632719   accuracy 0.7238636363636364   precision 0.6579723502304147   recall 0.5801054363269273
deviation 4/5   iterations 430/2000   F1 0.5745736752487786   accuracy 0.7431818181818182   precision 0.6277726574500768   recall 0.5713922781672491
deviation 4/5   iterations 440/2000   F1 0.6009109856041475   accuracy 0.7920454545454545   precision 0.6308141321044547   recall 0.5898130336471938
deviation 4/5   iterations 450/2000   F1 0.5902332810850162   accuracy 0.7579545454545454   precision 0.6443932411674347   recall 0.5829708507513275
deviation 4/5   iterations 460/2000   F1 0.545451191345863   accuracy 0.6818181818181818   precision 0.629984639016897   recall 0.5615003110627882
deviation 4/5   iterations 470/2000   F1 0.588489429566504   accuracy 0.7715909090909091   precision 0.6274347158218125   recall 0.5797103677284466
deviation 4/5   iterations 480/2000   F1 0.584335279972518   accuracy 0.775   precision 0.6170199692780338   recall 0.5758891926139035
deviation 4/5   iterations 490/2000   F1 0.5972977053140096   accuracy 0.7795454545454545   precision 0.6360675883256528   recall 0.5868084138893462
deviation 4/5   iterations 500/2000   F1 0.5727809693340885   accuracy 0.7545454545454545   precision 0.6136405529953917   recall 0.5677576770052536
deviation 4/5   iterations 510/2000   F1 0.5848205128205127   accuracy 0.7909090909090909   precision 0.605468509984639   recall 0.5763737486095661
deviation 4/5   iterations 520/2000   F1 0.5697566430163821   accuracy 0.7625   precision 0.6016897081413211   recall 0.5641055436769855
deviation 4/5   iterations 530/2000   F1 0.5687604233356256   accuracy 0.7181818181818181   precision 0.6423963133640553   recall 0.5723716671559106
deviation 4/5   iterations 540/2000   F1 0.5795366795366795   accuracy 0.775   precision 0.6087864823348694   recall 0.5717527862208713
deviation 4/5   iterations 550/2000   F1 0.5830906280823567   accuracy 0.7920454545454545   precision 0.6019969278033794   recall 0.5750072296124927
deviation 4/5   iterations 560/2000   F1 0.5785135916714864   accuracy 0.759090909090909   precision 0.6203379416282642   recall 0.5722592404017148
deviation 4/5   iterations 570/2000   F1 0.5689831548796289   accuracy 0.7306818181818182   precision 0.6289093701996928   recall 0.5690204232024424
deviation 4/5   iterations 580/2000   F1 0.577292152077651   accuracy 0.8022727272727272   precision 0.5872196620583717   recall 0.5714386367525239
deviation 4/5   iterations 590/2000   F1 0.583419565863812   accuracy 0.7738636363636363   precision 0.6163748079877112   recall 0.5751587301587302
deviation 4/5   iterations 600/2000   F1 0.5962899372269007   accuracy 0.7704545454545455   precision 0.6432565284178187   recall 0.5866400101076915
deviation 4/5   iterations 610/2000   F1 0.5894648449368527   accuracy 0.7784090909090909   precision 0.6230721966205838   recall 0.5801482121706841
deviation 4/5   iterations 620/2000   F1 0.578082191780822   accuracy 0.7613636363636364   precision 0.6175115207373272   recall 0.5715889949466592
deviation 4/5   iterations 630/2000   F1 0.5899122807017544   accuracy 0.8068181818181818   precision 0.6021505376344086   recall 0.5826497638578175
deviation 4/5   iterations 640/2000   F1 0.6063323649530545   accuracy 0.8068181818181818   precision 0.6268509984639017   recall 0.5957995749459402
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deviation 4/5   iterations 650/2000   F1 0.588762247233729   accuracy 0.7988636363636363   precision 0.605867895545315   recall 0.5803908028815647
deviation 4/5   iterations 660/2000   F1 0.5789753204269765   accuracy 0.7625   precision 0.6181566820276497   recall 0.572247603017643
deviation 4/5   iterations 670/2000   F1 0.5983589743589743   accuracy 0.7977272727272727   precision 0.6216897081413211   recall 0.5881201334816463
deviation 4/5   iterations 680/2000   F1 0.5719741972522785   accuracy 0.7920454545454545   precision 0.5855299539170506   recall 0.5656702898550725
deviation 4/5   iterations 690/2000   F1 0.5797979797979798   accuracy 0.7784090909090909   precision 0.606605222734255   recall 0.5718724109362054
deviation 4/5   iterations 700/2000   F1 0.5754882154882155   accuracy 0.7761363636363636   precision 0.6011981566820277   recall 0.5682270091135045
deviation 4/5   iterations 710/2000   F1 0.609651260136697   accuracy 0.8386363636363636   precision 0.6078648233486943   recall 0.6115608993505256
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deviation 4/5   iterations 720/2000   F1 0.5743974359899807   accuracy 0.7715909090909091   precision 0.6027342549923195   recall 0.5674715909090909
deviation 4/5   iterations 730/2000   F1 0.6007662062707935   accuracy 0.8159090909090909   precision 0.6114285714285714   recall 0.5935961353853776
deviation 4/5   iterations 740/2000   F1 0.5524475524475525   accuracy 0.7272727272727273   precision 0.5981566820276497   recall 0.5541984732824428
deviation 4/5   iterations 750/2000   F1 0.6017886905514755   accuracy 0.8170454545454545   precision 0.6120737327188941   recall 0.5947473404255319
deviation 4/5   iterations 760/2000   F1 0.582257882895315   accuracy 0.7556818181818182   precision 0.630752688172043   recall 0.5761217948717948
deviation 4/5   iterations 770/2000   F1 0.5792328278322926   accuracy 0.7715909090909091   precision 0.6109677419354839   recall 0.5716666666666667
deviation 4/5   iterations 780/2000   F1 0.5853186030682235   accuracy 0.7852272727272728   precision 0.6104761904761904   recall 0.5765601580596811
deviation 4/5   iterations 790/2000   F1 0.5906526349485814   accuracy 0.7886363636363637   precision 0.6165284178187403   recall 0.5811364667026038
deviation 4/5   iterations 800/2000   F1 0.5850156958493199   accuracy 0.8079545454545455   precision 0.5945622119815668   recall 0.5789230769230769
deviation 4/5   iterations 810/2000   F1 0.5809304401377284   accuracy 0.7829545454545455   precision 0.6050691244239632   recall 0.5728130535495299
deviation 4/5   iterations 820/2000   F1 0.5889496863739491   accuracy 0.8090909090909091   precision 0.5993241167434716   recall 0.5823744636614723
deviation 4/5   iterations 830/2000   F1 0.5977293316821397   accuracy 0.8125   precision 0.6094930875576037   recall 0.5902406417112299
deviation 4/5   iterations 840/2000   F1 0.5667139901658383   accuracy 0.7465909090909091   precision 0.6091244239631336   recall 0.5635302197802198
deviation 4/5   iterations 850/2000   F1 0.5793875354962056   accuracy 0.7875   precision 0.5994162826420891   recall 0.5716284176228927
deviation 4/5   iterations 860/2000   F1 0.5712820512820513   accuracy 0.7840909090909091   precision 0.589247311827957   recall 0.5646273637374861
deviation 4/5   iterations 870/2000   F1 0.5983288762874419   accuracy 0.8068181818181818   precision 0.6145007680491551   recall 0.589420243956276
deviation 4/5   iterations 880/2000   F1 0.6040324356409102   accuracy 0.8397727272727272   precision 0.6002764976958526   recall 0.6084183673469388
deviation 4/5   iterations 890/2000   F1 0.6109515429308127   accuracy 0.8238636363636364   precision 0.6200614439324117   recall 0.6042200034135518
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deviation 4/5   iterations 900/2000   F1 0.6038415366146459   accuracy 0.8431818181818181   precision 0.5980952380952381   recall 0.611178428668923
deviation 4/5   iterations 910/2000   F1 0.5795366795366795   accuracy 0.775   precision 0.6087864823348694   recall 0.5717527862208713
deviation 4/5   iterations 920/2000   F1 0.5686447120963547   accuracy 0.7772727272727272   precision 0.5894930875576037   recall 0.5623122930410452
deviation 4/5   iterations 930/2000   F1 0.607429976176239   accuracy 0.8397727272727272   precision 0.6043932411674348   recall 0.6108486873010074
deviation 4/5   iterations 940/2000   F1 0.6134169669469283   accuracy 0.8204545454545454   precision 0.6263594470046083   recall 0.6047962168387366
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deviation 4/5   iterations 950/2000   F1 0.5982084619733008   accuracy 0.8568181818181818   precision 0.5852534562211982   recall 0.6239746957593952
deviation 4/5   iterations 960/2000   F1 0.6071385794705952   accuracy 0.8136363636363636   precision 0.6224884792626728   recall 0.5979212307571395
deviation 4/5   iterations 970/2000   F1 0.6029436062990124   accuracy 0.8386363636363636   precision 0.5996313364055299   recall 0.6067464549512185
deviation 4/5   iterations 980/2000   F1 0.5866501177400139   accuracy 0.8284090909090909   precision 0.5855913978494623   recall 0.587769040778265
deviation 4/5   iterations 990/2000   F1 0.5739418158647973   accuracy 0.7806818181818181   precision 0.5955453149001536   recall 0.5668437704185151
deviation 4/5   iterations 1000/2000   F1 0.6130934420717777   accuracy 0.8261363636363637   precision 0.6213517665130569   recall 0.6067844629958044
deviation 4/5   iterations 1010/2000   F1 0.6015857065559469   accuracy 0.8136363636363636   precision 0.6142549923195084   recall 0.593582349447917
deviation 4/5   iterations 1020/2000   F1 0.6046932618169628   accuracy 0.8477272727272728   precision 0.5965591397849462   recall 0.6162782093969663
deviation 4/5   iterations 1030/2000   F1 0.5772842286263267   accuracy 0.821590909090909   precision 0.5776036866359446   recall 0.576970893666813
deviation 4/5   iterations 1040/2000   F1 0.583713122036206   accuracy 0.8136363636363636   precision 0.5895545314900154   recall 0.5793508204575398
deviation 4/5   iterations 1050/2000   F1 0.5866501177400139   accuracy 0.8284090909090909   precision 0.5855913978494623   recall 0.587769040778265
deviation 4/5   iterations 1060/2000   F1 0.5934389714813715   accuracy 0.8284090909090909   precision 0.5938248847926267   recall 0.5930598215591634
deviation 4/5   iterations 1070/2000   F1 0.5975997834952452   accuracy 0.8329545454545455   precision 0.596405529953917   recall 0.5988583093905943
deviation 4/5   iterations 1080/2000   F1 0.5779924174038634   accuracy 0.8068181818181818   precision 0.5856835637480798   recall 0.5729104579059092
deviation 4/5   iterations 1090/2000   F1 0.5998908793307265   accuracy 0.8465909090909091   precision 0.5917972350230414   recall 0.6117193108399138
deviation 4/5   iterations 1100/2000   F1 0.5918299246860808   accuracy 0.8420454545454545   precision 0.585099846390169   recall 0.6014146798664401
deviation 4/5   iterations 1110/2000   F1 0.5866501177400139   accuracy 0.8284090909090909   precision 0.5855913978494623   recall 0.587769040778265
deviation 4/5   iterations 1120/2000   F1 0.6013636168249947   accuracy 0.8443181818181819   precision 0.5946236559139785   recall 0.610479797979798
deviation 4/5   iterations 1130/2000   F1 0.5751927589674825   accuracy 0.8363636363636363   precision 0.5695238095238095   recall 0.5837217906030336
deviation 4/5   iterations 1140/2000   F1 0.5858516424747362   accuracy 0.8125   precision 0.593026113671275   recall 0.5807518347840929
deviation 4/5   iterations 1150/2000   F1 0.5944753854458795   accuracy 0.8409090909090909   precision 0.5885714285714285   recall 0.6023807156351653
deviation 4/5   iterations 1160/2000   F1 0.5807120247882468   accuracy 0.821590909090909   precision 0.5817204301075268   recall 0.5797591633083861
deviation 4/5   iterations 1170/2000   F1 0.5795881305149793   accuracy 0.8284090909090909   precision 0.5773579109062981   recall 0.5821415522730832
deviation 4/5   iterations 1180/2000   F1 0.5780855798512718   accuracy 0.8352272727272727   precision 0.5729953917050691   recall 0.5852272727272727
deviation 4/5   iterations 1190/2000   F1 0.5853964246664237   accuracy 0.8193181818181818   precision 0.588663594470046   recall 0.5826233337913975
deviation 4/5   iterations 1200/2000   F1 0.5903809650469708   accuracy 0.825   precision 0.591889400921659   recall 0.5889765466033627
deviation 4/5   iterations 1210/2000   F1 0.5948478002505434   accuracy 0.8534090909090909   precision 0.5833179723502304   recall 0.616542904290429
deviation 4/5   iterations 1220/2000   F1 0.5812048338601283   accuracy 0.803409090909091   precision 0.5919815668202765   recall 0.5748769557040535
deviation 4/5   iterations 1230/2000   F1 0.5863825128809244   accuracy 0.8204545454545454   precision 0.5893087557603687   recall 0.5838515766519367
deviation 4/5   iterations 1240/2000   F1 0.5897245983381333   accuracy 0.8397727272727272   precision 0.5838095238095238   recall 0.5978535353535354
deviation 4/5   iterations 1250/2000   F1 0.59264873727469   accuracy 0.8511363636363637   precision 0.5820276497695852   recall 0.6119140232043458
deviation 4/5   iterations 1260/2000   F1 0.5944753854458795   accuracy 0.8409090909090909   precision 0.5885714285714285   recall 0.6023807156351653
deviation 4/5   iterations 1270/2000   F1 0.5815037738766626   accuracy 0.8147727272727273   precision 0.5860829493087558   recall 0.5779060456425997
deviation 4/5   iterations 1280/2000   F1 0.5828889678871904   accuracy 0.8363636363636363   precision 0.5777572964669738   recall 0.589880538075825
deviation 4/5   iterations 1290/2000   F1 0.5997176692024155   accuracy 0.8352272727272727   precision 0.5976958525345621   recall 0.6019230769230769
deviation 4/5   iterations 1300/2000   F1 0.5886821766665349   accuracy 0.8386363636363636   precision 0.5831643625192012   recall 0.5961306268554951
deviation 4/5   iterations 1310/2000   F1 0.5961257993343554   accuracy 0.8465909090909091   precision 0.5876804915514593   recall 0.6090378384986858
deviation 4/5   iterations 1320/2000   F1 0.5975997834952452   accuracy 0.8329545454545455   precision 0.596405529953917   recall 0.5988583093905943
deviation 4/5   iterations 1330/2000   F1 0.5977768026912389   accuracy 0.8295454545454546   precision 0.5985867895545315   recall 0.5969943538344356
deviation 4/5   iterations 1340/2000   F1 0.5800840232381983   accuracy 0.8375   precision 0.5742857142857143   recall 0.5885273270458673
deviation 4/5   iterations 1350/2000   F1 0.5840746594415595   accuracy 0.821590909090909   precision 0.585837173579109   recall 0.5824675324675325
deviation 4/5   iterations 1360/2000   F1 0.5869929601072745   accuracy 0.8409090909090909   precision 0.5803379416282642   recall 0.5967443581206068
deviation 4/5   iterations 1370/2000   F1 0.5915611814345992   accuracy 0.85   precision 0.5813824884792627   recall 0.6096894409937889
deviation 4/5   iterations 1380/2000   F1 0.5955375423056032   accuracy 0.85   precision 0.5854992319508449   recall 0.6125244618395304
deviation 4/5   iterations 1390/2000   F1 0.5916538658474143   accuracy 0.8022727272727272   precision 0.6078033794162827   recall 0.5832376578645235
deviation 4/5   iterations 1400/2000   F1 0.5998908793307265   accuracy 0.8465909090909091   precision 0.5917972350230414   recall 0.6117193108399138
deviation 4/5   iterations 1410/2000   F1 0.5865143535903711   accuracy 0.8579545454545454   precision 0.5735483870967742   recall 0.6180100954333938
deviation 4/5   iterations 1420/2000   F1 0.5817873665887958   accuracy 0.8113636363636364   precision 0.5882642089093703   recall 0.5771391135311618
deviation 4/5   iterations 1430/2000   F1 0.5787762474599232   accuracy 0.8193181818181818   precision 0.5804301075268817   recall 0.5772727272727273
deviation 4/5   iterations 1440/2000   F1 0.5825641025641026   accuracy 0.8318181818181818   precision 0.5792933947772658   recall 0.5865236339255783
deviation 4/5   iterations 1450/2000   F1 0.5972182372149581   accuracy 0.8477272727272728   precision 0.588325652841782   recall 0.6110570311655001
deviation 4/5   iterations 1460/2000   F1 0.6069514373883386   accuracy 0.85   precision 0.5978494623655914   recall 0.6203685507399737
deviation 4/5   iterations 1470/2000   F1 0.5893730714231955   accuracy 0.8238636363636364   precision 0.5912442396313364   recall 0.5876623376623377
deviation 4/5   iterations 1480/2000   F1 0.5890629800307221   accuracy 0.8272727272727273   precision 0.589062980030722   recall 0.589062980030722
deviation 4/5   iterations 1490/2000   F1 0.5927993132477446   accuracy 0.8352272727272727   precision 0.5894623655913979   recall 0.5967261904761905
deviation 4/5   iterations 1500/2000   F1 0.5986555209856181   accuracy 0.8340909090909091   precision 0.5970506912442397   recall 0.6003762122040188
deviation 4/5   iterations 1510/2000   F1 0.5955375423056032   accuracy 0.85   precision 0.5854992319508449   recall 0.6125244618395304
deviation 4/5   iterations 1520/2000   F1 0.5869929601072745   accuracy 0.8409090909090909   precision 0.5803379416282642   recall 0.5967443581206068
deviation 4/5   iterations 1530/2000   F1 0.5841334793855971   accuracy 0.803409090909091   precision 0.5960983102918587   recall 0.5772849462365591
deviation 4/5   iterations 1540/2000   F1 0.5979334340842792   accuracy 0.8227272727272728   precision 0.6029493087557604   recall 0.5938434654030984
deviation 4/5   iterations 1550/2000   F1 0.577152885137676   accuracy 0.8431818181818181   precision 0.5692780337941629   recall 0.5911759473403309
deviation 4/5   iterations 1560/2000   F1 0.6020770171557248   accuracy 0.8306818181818182   precision 0.6033486943164363   recall 0.6008683554020342
deviation 4/5   iterations 1570/2000   F1 0.5853964246664237   accuracy 0.8193181818181818   precision 0.588663594470046   recall 0.5826233337913975
deviation 4/5   iterations 1580/2000   F1 0.5913104760791267   accuracy 0.8375   precision 0.5866359447004608   recall 0.5972467446479806
deviation 4/5   iterations 1590/2000   F1 0.6029436062990124   accuracy 0.8386363636363636   precision 0.5996313364055299   recall 0.6067464549512185
deviation 4/5   iterations 1600/2000   F1 0.5862376662376663   accuracy 0.8443181818181819   precision 0.5781566820276498   recall 0.599375
deviation 4/5   iterations 1610/2000   F1 0.5969085429364174   accuracy 0.821590909090909   precision 0.6023041474654378   recall 0.5925864139863872
deviation 4/5   iterations 1620/2000   F1 0.5941965336052074   accuracy 0.8329545454545455   precision 0.592288786482335   recall 0.5962820512820513
deviation 4/5   iterations 1630/2000   F1 0.5845781761274719   accuracy 0.8340909090909091   precision 0.5805837173579109   recall 0.5895943490319848
deviation 4/5   iterations 1640/2000   F1 0.5994871794871794   accuracy 0.8386363636363636   precision 0.5955145929339478   recall 0.6042239356352666
deviation 4/5   iterations 1650/2000   F1 0.5959595959595959   accuracy 0.8386363636363636   precision 0.5913978494623656   recall 0.6016176852345234
deviation 4/5   iterations 1660/2000   F1 0.5938461538461538   accuracy 0.8363636363636363   precision 0.5901075268817204   recall 0.5983238350653705
deviation 4/5   iterations 1670/2000   F1 0.5966198979591837   accuracy 0.8431818181818181   precision 0.5898617511520737   recall 0.605992085924251
deviation 4/5   iterations 1680/2000   F1 0.6041533905611576   accuracy 0.8363636363636363   precision 0.602457757296467   recall 0.6059685557772722
deviation 4/5   iterations 1690/2000   F1 0.6046932618169628   accuracy 0.8477272727272728   precision 0.5965591397849462   recall 0.6162782093969663
deviation 4/5   iterations 1700/2000   F1 0.5900777087787166   accuracy 0.8284090909090909   precision 0.5897081413210445   recall 0.5904540047581285
deviation 4/5   iterations 1710/2000   F1 0.5845781761274719   accuracy 0.8340909090909091   precision 0.5805837173579109   recall 0.5895943490319848
deviation 4/5   iterations 1720/2000   F1 0.5966395963596793   accuracy 0.8511363636363637   precision 0.5861443932411674   recall 0.6147224404294318
deviation 4/5   iterations 1730/2000   F1 0.5849277210884354   accuracy 0.8386363636363636   precision 0.579047619047619   recall 0.5932367990027685
deviation 4/5   iterations 1740/2000   F1 0.5684467264891478   accuracy 0.8284090909090909   precision 0.5650076804915515   recall 0.5729695431472082
deviation 4/5   iterations 1750/2000   F1 0.5858516424747362   accuracy 0.8125   precision 0.593026113671275   recall 0.5807518347840929
deviation 4/5   iterations 1760/2000   F1 0.5662091918776411   accuracy 0.8352272727272727   precision 0.5606451612903226   recall 0.5754172015404364
deviation 4/5   iterations 1770/2000   F1 0.5811752848623982   accuracy 0.8261363636363637   precision 0.580184331797235   recall 0.5822244064721004
deviation 4/5   iterations 1780/2000   F1 0.5939633368022929   accuracy 0.8443181818181819   precision 0.5863901689708142   recall 0.6051387891840153
deviation 4/5   iterations 1790/2000   F1 0.6016503058756579   accuracy 0.8409090909090909   precision 0.5968049155145929   recall 0.6076293533357926
deviation 4/5   iterations 1800/2000   F1 0.5941965336052074   accuracy 0.8329545454545455   precision 0.592288786482335   recall 0.5962820512820513
deviation 4/5   iterations 1810/2000   F1 0.6016657613615789   accuracy 0.8522727272727273   precision 0.5909062980030722   recall 0.6196406333392634
deviation 4/5   iterations 1820/2000   F1 0.5946714834048318   accuracy 0.8261363636363637   precision 0.5966513056835637   recall 0.5928571428571429
deviation 4/5   iterations 1830/2000   F1 0.5938461538461538   accuracy 0.8363636363636363   precision 0.5901075268817204   recall 0.5983238350653705
deviation 4/5   iterations 1840/2000   F1 0.5801973401973402   accuracy 0.8420454545454545   precision 0.5727496159754224   recall 0.5925
deviation 4/5   iterations 1850/2000   F1 0.5780855798512718   accuracy 0.8352272727272727   precision 0.5729953917050691   recall 0.5852272727272727
deviation 4/5   iterations 1860/2000   F1 0.5966395963596793   accuracy 0.8511363636363637   precision 0.5861443932411674   recall 0.6147224404294318
deviation 4/5   iterations 1870/2000   F1 0.5832811041936516   accuracy 0.8454545454545455   precision 0.5746850998463902   recall 0.5982921188400641
deviation 4/5   iterations 1880/2000   F1 0.5970264134766216   accuracy 0.8397727272727272   precision 0.5920430107526882   recall 0.6033160450231737
deviation 4/5   iterations 1890/2000   F1 0.5950408748849547   accuracy 0.8454545454545455   precision 0.5870353302611366   recall 0.6070656528245983
deviation 4/5   iterations 1900/2000   F1 0.6030881336473014   accuracy 0.825   precision 0.6083563748079878   recall 0.5987722776713602
deviation 4/5   iterations 1910/2000   F1 0.6035758261339633   accuracy 0.8465909090909091   precision 0.5959139784946237   recall 0.614302032687013
deviation 4/5   iterations 1920/2000   F1 0.5999698953864679   accuracy 0.8284090909090909   precision 0.6020583717357911   recall 0.5980519480519481
deviation 4/5   iterations 1930/2000   F1 0.5970797656602073   accuracy 0.8556818181818182   precision 0.5846082949308756   recall 0.6214285714285714
deviation 4/5   iterations 1940/2000   F1 0.5928930606771706   accuracy 0.8431818181818181   precision 0.5857450076804915   recall 0.6032556418793933
deviation 4/5   iterations 1950/2000   F1 0.5897245983381333   accuracy 0.8397727272727272   precision 0.5838095238095238   recall 0.5978535353535354
deviation 4/5   iterations 1960/2000   F1 0.6042088000514015   accuracy 0.8329545454545455   precision 0.6046390168970814   recall 0.603785773487397
deviation 4/5   iterations 1970/2000   F1 0.5944753854458795   accuracy 0.8409090909090909   precision 0.5885714285714285   recall 0.6023807156351653
deviation 4/5   iterations 1980/2000   F1 0.6049479806668305   accuracy 0.8443181818181819   precision 0.5987403993855607   recall 0.6130098452883264
deviation 4/5   iterations 1990/2000   F1 0.5977028754100221   accuracy 0.8443181818181819   precision 0.5905069124423963   recall 0.6078583562767266
deviation 4/5   iterations 2000/2000   F1 0.5876464323748668   accuracy 0.8375   precision 0.5825192012288787   recall 0.5944444444444444

deviation 5/5   iterations 10/2000   F1 0.3667724867724868   accuracy 0.4011363636363636   precision 0.5323809523809524   recall 0.5149122807017544
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deviation 5/5   iterations 20/2000   F1 0.17748917748917747   accuracy 0.17954545454545454   precision 0.5177265745007681   recall 0.52887367641466
deviation 5/5   iterations 30/2000   F1 0.31890331890331886   accuracy 0.32954545454545453   precision 0.5576036866359446   recall 0.5327854520020983
deviation 5/5   iterations 40/2000   F1 0.5015243223289354   accuracy 0.5954545454545455   precision 0.6303533026113671   recall 0.5554231912681369
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deviation 5/5   iterations 50/2000   F1 0.4506385684863973   accuracy 0.5136363636363637   precision 0.6086021505376344   recall 0.5459733341656653
deviation 5/5   iterations 60/2000   F1 0.4982872200263504   accuracy 0.5943181818181819   precision 0.6214746543778802   recall 0.5517268445839875
deviation 5/5   iterations 70/2000   F1 0.4951470273295285   accuracy 0.5829545454545455   precision 0.631490015360983   recall 0.5555624792289797
deviation 5/5   iterations 80/2000   F1 0.44803991446899505   accuracy 0.5   precision 0.6337941628264209   recall 0.5574917491749175
deviation 5/5   iterations 90/2000   F1 0.41661532694102066   accuracy 0.45340909090909093   precision 0.6238095238095238   recall 0.5557850324466789
deviation 5/5   iterations 100/2000   F1 0.5194920634920634   accuracy 0.6090909090909091   precision 0.6669124423963133   recall 0.5708991256687981
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deviation 5/5   iterations 110/2000   F1 0.5515228573079813   accuracy 0.6693181818181818   precision 0.6640552995391705   recall 0.574107380762057
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deviation 5/5   iterations 120/2000   F1 0.5500982974080757   accuracy 0.6693181818181818   precision 0.6599385560675883   recall 0.5724359402480019
deviation 5/5   iterations 130/2000   F1 0.473536036036036   accuracy 0.5363636363636364   precision 0.6503225806451614   recall 0.5634996028841512
deviation 5/5   iterations 140/2000   F1 0.508958174575818   accuracy 0.5897727272727272   precision 0.6682949308755761   recall 0.570915926179084
deviation 5/5   iterations 150/2000   F1 0.5465186914293125   accuracy 0.6568181818181819   precision 0.6693087557603687   recall 0.5749596026093722
deviation 5/5   iterations 160/2000   F1 0.556146978021978   accuracy 0.6795454545454546   precision 0.6616282642089093   recall 0.5743251261591669
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deviation 5/5   iterations 170/2000   F1 0.5657822517006676   accuracy 0.696590909090909   precision 0.6630721966205837   recall 0.5772877644208368
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deviation 5/5   iterations 180/2000   F1 0.5487679813742066   accuracy 0.6636363636363637   precision 0.6649462365591398   recall 0.5738640428353666
deviation 5/5   iterations 190/2000   F1 0.6025489423203259   accuracy 0.75   precision 0.6810445468509985   recall 0.5961657713170452
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deviation 5/5   iterations 200/2000   F1 0.5942145700869633   accuracy 0.7579545454545454   precision 0.6526267281105991   recall 0.5865963855421688
deviation 5/5   iterations 210/2000   F1 0.5734879867439933   accuracy 0.7340909090909091   precision 0.6349615975422427   recall 0.5724558799274286
deviation 5/5   iterations 220/2000   F1 0.5943456956089993   accuracy 0.7420454545454546   precision 0.6724116743471582   recall 0.5904088050314465
deviation 5/5   iterations 230/2000   F1 0.5523560944121692   accuracy 0.6704545454545454   precision 0.6647004608294931   recall 0.5744951670548215
deviation 5/5   iterations 240/2000   F1 0.5537681412834411   accuracy 0.6704545454545454   precision 0.6688172043010753   recall 0.5761607761607761
deviation 5/5   iterations 250/2000   F1 0.5158848308149389   accuracy 0.6056818181818182   precision 0.6608602150537635   recall 0.5682966023875115
deviation 5/5   iterations 260/2000   F1 0.48591939485919394   accuracy 0.5590909090909091   precision 0.6467588325652842   recall 0.56168933473147
deviation 5/5   iterations 270/2000   F1 0.5322558418804261   accuracy 0.6318181818181818   precision 0.6674654377880185   recall 0.5722718088237634
deviation 5/5   iterations 280/2000   F1 0.5468246829489354   accuracy 0.6590909090909091   precision 0.6664823348694316   recall 0.574033695646234
deviation 5/5   iterations 290/2000   F1 0.5330047561873554   accuracy 0.6363636363636364   precision 0.6618125960061444   recall 0.5702795168633479
deviation 5/5   iterations 300/2000   F1 0.5609822627071803   accuracy 0.6840909090909091   precision 0.6683256528417819   recall 0.577633062984941
deviation 5/5   iterations 310/2000   F1 0.5508493031358884   accuracy 0.6590909090909091   precision 0.6788325652841782   recall 0.5790076605263015
deviation 5/5   iterations 320/2000   F1 0.5825531171198163   accuracy 0.740909090909091   precision 0.6470660522273426   recall 0.5793858747205657
deviation 5/5   iterations 330/2000   F1 0.5664705882352942   accuracy 0.6954545454545454   precision 0.6665437788018433   recall 0.5785310734463277
deviation 5/5   iterations 340/2000   F1 0.583605359463814   accuracy 0.7306818181818182   precision 0.6618433179723502   recall 0.583219593569912
deviation 5/5   iterations 350/2000   F1 0.587379465468853   accuracy 0.7647727272727273   precision 0.6317972350230414   recall 0.5794232649071358
deviation 5/5   iterations 360/2000   F1 0.5783269009072227   accuracy 0.7284090909090909   precision 0.6523195084485407   recall 0.5786984126984127
deviation 5/5   iterations 370/2000   F1 0.581496991576414   accuracy 0.7193181818181819   precision 0.6718586789554533   recall 0.5849119611414693
deviation 5/5   iterations 380/2000   F1 0.5888363400345455   accuracy 0.7488636363636364   precision 0.6515821812596005   recall 0.5834551162350139
deviation 5/5   iterations 390/2000   F1 0.5693022875031812   accuracy 0.6875   precision 0.6867281105990783   recall 0.5854977380657649
deviation 5/5   iterations 400/2000   F1 0.5486979685505353   accuracy 0.6840909090909091   precision 0.6353917050691245   recall 0.5640585844608148
deviation 5/5   iterations 410/2000   F1 0.5681257681109214   accuracy 0.7295454545454545   precision 0.6282642089093702   recall 0.568491577586603
deviation 5/5   iterations 420/2000   F1 0.5721925133689839   accuracy 0.7136363636363636   precision 0.6562826420890937   recall 0.5773763529834083
deviation 5/5   iterations 430/2000   F1 0.569327368465942   accuracy 0.7261363636363637   precision 0.6345622119815668   recall 0.5705613980822765
deviation 5/5   iterations 440/2000   F1 0.5687604233356256   accuracy 0.7181818181818181   precision 0.6423963133640553   recall 0.5723716671559106
deviation 5/5   iterations 450/2000   F1 0.5745736752487786   accuracy 0.7431818181818182   precision 0.6277726574500768   recall 0.5713922781672491
deviation 5/5   iterations 460/2000   F1 0.5544303797468354   accuracy 0.6897727272727273   precision 0.6427342549923195   recall 0.5678842781998831
deviation 5/5   iterations 470/2000   F1 0.565618697920394   accuracy 0.6943181818181818   precision 0.6658986175115207   recall 0.5780960755275824
deviation 5/5   iterations 480/2000   F1 0.5381726220626071   accuracy 0.6738636363636363   precision 0.6213517665130568   recall 0.5569374293687585
deviation 5/5   iterations 490/2000   F1 0.582671377421573   accuracy 0.7272727272727273   precision 0.6640245775729647   recall 0.5833640411964199
deviation 5/5   iterations 500/2000   F1 0.5888711678185362   accuracy 0.7693181818181818   precision 0.6302611367127496   recall 0.5802446705426356
deviation 5/5   iterations 510/2000   F1 0.5798949737434359   accuracy 0.7375   precision 0.6451305683563748   recall 0.577705547952416
deviation 5/5   iterations 520/2000   F1 0.5813944638360757   accuracy 0.7443181818181818   precision 0.640768049155146   recall 0.5775012854861844
deviation 5/5   iterations 530/2000   F1 0.5888363400345455   accuracy 0.7488636363636364   precision 0.6515821812596005   recall 0.5834551162350139
deviation 5/5   iterations 540/2000   F1 0.576922156548374   accuracy 0.7488636363636364   precision 0.6268817204301076   recall 0.5724439392663692
deviation 5/5   iterations 550/2000   F1 0.5798611111111112   accuracy 0.75   precision 0.6316436251920123   recall 0.5749256863087953
deviation 5/5   iterations 560/2000   F1 0.6036914148557295   accuracy 0.7897727272727273   precision 0.6377572964669739   recall 0.5920542635658914
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deviation 5/5   iterations 570/2000   F1 0.5987391981867121   accuracy 0.7659090909090909   precision 0.6530261136712749   recall 0.5893863370444545
deviation 5/5   iterations 580/2000   F1 0.6023713128976287   accuracy 0.7727272727272727   precision 0.6527803379416283   recall 0.5917399036297493
deviation 5/5   iterations 590/2000   F1 0.5944539788260268   accuracy 0.7488636363636364   precision 0.6639324116743472   recall 0.5887345679012346
deviation 5/5   iterations 600/2000   F1 0.6089625922746381   accuracy 0.7829545454545455   precision 0.6544700460829493   recall 0.596620956831878
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deviation 5/5   iterations 610/2000   F1 0.5822394045180462   accuracy 0.7943181818181818   precision 0.5991705069124424   recall 0.574490474080638
deviation 5/5   iterations 620/2000   F1 0.5757000333475644   accuracy 0.7420454545454546   precision 0.6312442396313364   recall 0.5726807491289199
deviation 5/5   iterations 630/2000   F1 0.5927325470437802   accuracy 0.7795454545454545   precision 0.6278341013824885   recall 0.5829023183162123
deviation 5/5   iterations 640/2000   F1 0.6048679597330113   accuracy 0.7806818181818181   precision 0.6490629800307219   recall 0.5932388390111918
deviation 5/5   iterations 650/2000   F1 0.6068404114343409   accuracy 0.7988636363636363   precision 0.6346850998463902   recall 0.5951388888888889
deviation 5/5   iterations 660/2000   F1 0.5950910976355133   accuracy 0.7715909090909091   precision 0.6397849462365591   recall 0.5854723332632021
deviation 5/5   iterations 670/2000   F1 0.6089691003554827   accuracy 0.7931818181818182   precision 0.6438095238095238   recall 0.5965242207540478
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deviation 5/5   iterations 680/2000   F1 0.5885339135081492   accuracy 0.7772727272727272   precision 0.6224270353302611   recall 0.579395755465058
deviation 5/5   iterations 690/2000   F1 0.5892148401831683   accuracy 0.7670454545454546   precision 0.6330875576036866   recall 0.58078231292517
deviation 5/5   iterations 700/2000   F1 0.5684350444590903   accuracy 0.7488636363636364   precision 0.6104147465437788   recall 0.5647129152141972
deviation 5/5   iterations 710/2000   F1 0.591793041926851   accuracy 0.7784090909090909   precision 0.6271889400921659   recall 0.5821428571428571
deviation 5/5   iterations 720/2000   F1 0.5929216981848561   accuracy 0.7715909090909091   precision 0.6356682027649769   recall 0.5835755813953488
deviation 5/5   iterations 730/2000   F1 0.5948995457749993   accuracy 0.8375   precision 0.590752688172043   recall 0.5999539819176005
deviation 5/5   iterations 740/2000   F1 0.6058419140220028   accuracy 0.7977272727272727   precision 0.6340399385560676   recall 0.5942259349165075
deviation 5/5   iterations 750/2000   F1 0.6033092306690118   accuracy 0.803409090909091   precision 0.6249155145929339   recall 0.5928310502283105
deviation 5/5   iterations 760/2000   F1 0.6207792207792208   accuracy 0.8340909090909091   precision 0.625867895545315   recall 0.6164251207729469
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deviation 5/5   iterations 770/2000   F1 0.6078952511237052   accuracy 0.8056818181818182   precision 0.6303225806451613   recall 0.5968493150684931
deviation 5/5   iterations 780/2000   F1 0.6053201004010271   accuracy 0.8056818181818182   precision 0.6262058371735791   recall 0.594797666518978
deviation 5/5   iterations 790/2000   F1 0.6033643011481129   accuracy 0.8125   precision 0.6177265745007681   recall 0.5946790006325111
deviation 5/5   iterations 800/2000   F1 0.5969844289438455   accuracy 0.7931818181818182   precision 0.623225806451613   recall 0.5866239342081393
deviation 5/5   iterations 810/2000   F1 0.6073846153846154   accuracy 0.8022727272727272   precision 0.6325038402457757   recall 0.5959510567296996
deviation 5/5   iterations 820/2000   F1 0.6073492643079108   accuracy 0.8079545454545455   precision 0.6274961597542242   recall 0.596814228658878
deviation 5/5   iterations 830/2000   F1 0.6140350877192983   accuracy 0.8181818181818182   precision 0.6291858678955453   recall 0.6045239870743226
deviation 5/5   iterations 840/2000   F1 0.5962899372269007   accuracy 0.7704545454545455   precision 0.6432565284178187   recall 0.5866400101076915
deviation 5/5   iterations 850/2000   F1 0.6355966828255611   accuracy 0.8295454545454546   precision 0.6521044546850998   recall 0.6245835472214674
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deviation 5/5   iterations 860/2000   F1 0.6203546869344915   accuracy 0.8306818181818182   precision 0.6280491551459293   recall 0.6142543859649123
deviation 5/5   iterations 870/2000   F1 0.5894919617481146   accuracy 0.7545454545454545   precision 0.6465745007680491   recall 0.582904129393693
deviation 5/5   iterations 880/2000   F1 0.6204334415716529   accuracy 0.8193181818181818   precision 0.6380645161290323   recall 0.609721082854799
deviation 5/5   iterations 890/2000   F1 0.6226755732081602   accuracy 0.8272727272727273   precision 0.6343471582181259   recall 0.6143196243895808
deviation 5/5   iterations 900/2000   F1 0.6079850767046245   accuracy 0.7818181818181819   precision 0.6538248847926267   recall 0.5958468288424873
deviation 5/5   iterations 910/2000   F1 0.610254209546131   accuracy 0.8170454545454545   precision 0.6244239631336406   recall 0.6012864631267256
deviation 5/5   iterations 920/2000   F1 0.6363636363636364   accuracy 0.8409090909090909   precision 0.642089093701997   recall 0.631429383347542
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deviation 5/5   iterations 930/2000   F1 0.6223576158940398   accuracy 0.8159090909090909   precision 0.6443625192012289   recall 0.6102275392915787
deviation 5/5   iterations 940/2000   F1 0.5965250965250964   accuracy 0.7840909090909091   precision 0.6304147465437788   recall 0.5860182370820668
deviation 5/5   iterations 950/2000   F1 0.6050869437701194   accuracy 0.8556818181818182   precision 0.5928417818740399   recall 0.6266682315069412
deviation 5/5   iterations 960/2000   F1 0.6036300547177366   accuracy 0.8159090909090909   precision 0.6155453149001536   recall 0.595827515567831
deviation 5/5   iterations 970/2000   F1 0.5989663777155371   accuracy 0.7897727272727273   precision 0.6295238095238095   recall 0.5881153023006955
deviation 5/5   iterations 980/2000   F1 0.6021917808219178   accuracy 0.775   precision 0.6499539170506913   recall 0.5913531723750702
deviation 5/5   iterations 990/2000   F1 0.5834644713136184   accuracy 0.7829545454545455   precision 0.6091858678955453   recall 0.5749637204279302
deviation 5/5   iterations 1000/2000   F1 0.6156590194530575   accuracy 0.8170454545454545   precision 0.632657450076805   recall 0.6054240400015626
deviation 5/5   iterations 1010/2000   F1 0.605284178187404   accuracy 0.8340909090909091   precision 0.605284178187404   recall 0.605284178187404
deviation 5/5   iterations 1020/2000   F1 0.6064444174516062   accuracy 0.8159090909090909   precision 0.6196620583717358   recall 0.5980110919869956
deviation 5/5   iterations 1030/2000   F1 0.6068404114343409   accuracy 0.7988636363636363   precision 0.6346850998463902   recall 0.5951388888888889
deviation 5/5   iterations 1040/2000   F1 0.6133975327733455   accuracy 0.8295454545454546   precision 0.6191705069124425   recall 0.6086299022078838
deviation 5/5   iterations 1050/2000   F1 0.6300118487940984   accuracy 0.8375   precision 0.636036866359447   recall 0.6249097309983752
deviation 5/5   iterations 1060/2000   F1 0.6133204304680336   accuracy 0.803409090909091   precision 0.6413824884792627   recall 0.6008538167537432
deviation 5/5   iterations 1070/2000   F1 0.6127459830294277   accuracy 0.8227272727272728   precision 0.6235330261136712   recall 0.6051175873932093
deviation 5/5   iterations 1080/2000   F1 0.6177964992443984   accuracy 0.8340909090909091   precision 0.6217511520737327   recall 0.614311592112702
deviation 5/5   iterations 1090/2000   F1 0.6057347670250895   accuracy 0.8090909090909091   precision 0.6240245775729647   recall 0.5957624465087151
deviation 5/5   iterations 1100/2000   F1 0.6125608348504861   accuracy 0.8318181818181818   precision 0.6163440860215054   recall 0.6092349228692412
deviation 5/5   iterations 1110/2000   F1 0.6166872605406559   accuracy 0.8329545454545455   precision 0.6211059907834102   recall 0.6128555723512437
deviation 5/5   iterations 1120/2000   F1 0.6185667144407427   accuracy 0.8443181818181819   precision 0.6152073732718895   recall 0.622331541312177
deviation 5/5   iterations 1130/2000   F1 0.6061101752158663   accuracy 0.8125   precision 0.6218433179723503   recall 0.5968299542950897
deviation 5/5   iterations 1140/2000   F1 0.6127459830294277   accuracy 0.8227272727272728   precision 0.6235330261136712   recall 0.6051175873932093
deviation 5/5   iterations 1150/2000   F1 0.6158651313313765   accuracy 0.8352272727272727   precision 0.6182795698924731   recall 0.6136363636363636
deviation 5/5   iterations 1160/2000   F1 0.6176953642384105   accuracy 0.8136363636363636   precision 0.6389554531490016   recall 0.6060989913206661
deviation 5/5   iterations 1170/2000   F1 0.6225831580360086   accuracy 0.8329545454545455   precision 0.6293394777265745   recall 0.6170536945593665
deviation 5/5   iterations 1180/2000   F1 0.6145523787542194   accuracy 0.8102272727272727   precision 0.6370199692780338   recall 0.602920543494314
deviation 5/5   iterations 1190/2000   F1 0.6236842105263158   accuracy 0.8227272727272728   precision 0.64   recall 0.6132736763609247
deviation 5/5   iterations 1200/2000   F1 0.6124812715783988   accuracy 0.8079545454545455   precision 0.6357296466973886   recall 0.6008675799086758
deviation 5/5   iterations 1210/2000   F1 0.6107599403968317   accuracy 0.8397727272727272   precision 0.608509984639017   recall 0.6132051282051282
deviation 5/5   iterations 1220/2000   F1 0.6204334415716529   accuracy 0.8193181818181818   precision 0.6380645161290323   recall 0.609721082854799
deviation 5/5   iterations 1230/2000   F1 0.6368117559523809   accuracy 0.8386363636363636   precision 0.644915514592934   recall 0.6302189732660475
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deviation 5/5   iterations 1240/2000   F1 0.6282662482650414   accuracy 0.8329545454545455   precision 0.6375729646697388   recall 0.6210584367835978
deviation 5/5   iterations 1250/2000   F1 0.63579456537203   accuracy 0.8545454545454545   precision 0.629247311827957   recall 0.6436993619434084
deviation 5/5   iterations 1260/2000   F1 0.6216533124877859   accuracy 0.8125   precision 0.6465437788018433   recall 0.6089041095890411
deviation 5/5   iterations 1270/2000   F1 0.6155844155844156   accuracy 0.8318181818181818   precision 0.6204608294930876   recall 0.6114236999147485
deviation 5/5   iterations 1280/2000   F1 0.620034542314335   accuracy 0.8363636363636363   precision 0.6230414746543779   recall 0.6172987031244508
deviation 5/5   iterations 10/2000   F1 0.45530734901800585   accuracy 0.5454545454545454   precision 0.5607987711213518   recall 0.5256252881064479
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deviation 5/5   iterations 20/2000   F1 0.3354531001589825   accuracy 0.3522727272727273   precision 0.5499231950844854   recall 0.5261128073276555
deviation 5/5   iterations 30/2000   F1 0.4369024457932328   accuracy 0.4943181818181818   precision 0.5976344086021506   recall 0.5416657926202513
deviation 5/5   iterations 40/2000   F1 0.5193214588634436   accuracy 0.634090909090909   precision 0.6234715821812596   recall 0.55443586617906
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deviation 5/5   iterations 50/2000   F1 0.54546079442235   accuracy 0.7011363636363637   precision 0.6080184331797235   recall 0.554528535980149
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deviation 5/5   iterations 60/2000   F1 0.46708534260401485   accuracy 0.5397727272727273   precision 0.6152073732718895   recall 0.5484496124031008
deviation 5/5   iterations 70/2000   F1 0.4305777497693052   accuracy 0.4772727272727273   precision 0.6167741935483871   recall 0.5508941626363738
deviation 5/5   iterations 80/2000   F1 0.5470061894864817   accuracy 0.6670454545454545   precision 0.6545314900153609   recall 0.5699870878692759
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deviation 5/5   iterations 90/2000   F1 0.5248957912810013   accuracy 0.6215909090909091   precision 0.6616589861751152   recall 0.5693258711186998
deviation 5/5   iterations 100/2000   F1 0.5465186914293125   accuracy 0.6568181818181819   precision 0.6693087557603687   recall 0.5749596026093722
deviation 5/5   iterations 110/2000   F1 0.5669815891472869   accuracy 0.7045454545454546   precision 0.6552380952380952   recall 0.575337400628582
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deviation 5/5   iterations 120/2000   F1 0.5626462359767027   accuracy 0.696590909090909   precision 0.6548387096774193   recall 0.573902027027027
deviation 5/5   iterations 130/2000   F1 0.516335355087866   accuracy 0.6147727272727272   precision 0.6454377880184332   recall 0.5623695693416808
deviation 5/5   iterations 140/2000   F1 0.48600320031151323   accuracy 0.5636363636363636   precision 0.6369892473118279   recall 0.5575946391390383
deviation 5/5   iterations 150/2000   F1 0.48510842474644233   accuracy 0.5579545454545455   precision 0.6461136712749616   recall 0.5614203653194478
deviation 5/5   iterations 160/2000   F1 0.5388719512195121   accuracy 0.65   precision 0.6572043010752688   recall 0.5694523619503667
deviation 5/5   iterations 170/2000   F1 0.5155670468752759   accuracy 0.6102272727272727   precision 0.6510906298003072   recall 0.5644784040611692
deviation 5/5   iterations 180/2000   F1 0.4972701894809654   accuracy 0.5795454545454546   precision 0.6460215053763441   recall 0.5615166779699625
deviation 5/5   iterations 190/2000   F1 0.49203555027723733   accuracy 0.5647727272727273   precision 0.6582181259600615   recall 0.5665044732329181
deviation 5/5   iterations 200/2000   F1 0.5605361459019995   accuracy 0.6875   precision 0.6620276497695852   recall 0.5755344989573546
deviation 5/5   iterations 210/2000   F1 0.5030588235294118   accuracy 0.5909090909090909   precision 0.6442396313364056   recall 0.5610136452241715
deviation 5/5   iterations 220/2000   F1 0.46837462462462465   accuracy 0.5318181818181819   precision 0.6395084485407065   recall 0.5589314728585593
deviation 5/5   iterations 230/2000   F1 0.5765266063875591   accuracy 0.7193181818181819   precision 0.6595084485407066   recall 0.5798160173160173
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deviation 5/5   iterations 240/2000   F1 0.598395026026605   accuracy 0.7704545454545455   precision 0.647373271889401   recall 0.588493126425077
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deviation 5/5   iterations 250/2000   F1 0.6142361111111111   accuracy 0.7704545454545455   precision 0.6803072196620583   recall 0.6026228361601679
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deviation 5/5   iterations 260/2000   F1 0.5916772491940998   accuracy 0.740909090909091   precision 0.6676497695852535   recall 0.5881349690873501
deviation 5/5   iterations 270/2000   F1 0.5836361434108527   accuracy 0.7159090909090909   precision 0.682273425499232   recall 0.5884577078823228
deviation 5/5   iterations 280/2000   F1 0.573502449580716   accuracy 0.7068181818181818   precision 0.668878648233487   recall 0.5813401518783553
deviation 5/5   iterations 290/2000   F1 0.5289786486856964   accuracy 0.6272727272727273   precision 0.6648847926267281   recall 0.5709503942129226
deviation 5/5   iterations 300/2000   F1 0.49078702609686187   accuracy 0.5659090909090909   precision 0.6506298003072196   recall 0.563316476489093
deviation 5/5   iterations 310/2000   F1 0.5086916844201299   accuracy 0.5988636363636364   precision 0.6487557603686636   recall 0.5631007735774307
deviation 5/5   iterations 320/2000   F1 0.47692066308211284   accuracy 0.5522727272727272   precision 0.6264208909370199   recall 0.5531381876972505
deviation 5/5   iterations 330/2000   F1 0.5264975770698009   accuracy 0.6204545454545455   precision 0.6692473118279569   recall 0.5723531791269811
deviation 5/5   iterations 340/2000   F1 0.569597348501814   accuracy 0.6897727272727273   precision 0.6839016897081414   recall 0.5846915676287493
deviation 5/5   iterations 350/2000   F1 0.5385781169657113   accuracy 0.6477272727272727   precision 0.6600307219662058   recall 0.570410541170364
deviation 5/5   iterations 360/2000   F1 0.5925258664790247   accuracy 0.7397727272727272   precision 0.6711213517665131   recall 0.5892834243799852
deviation 5/5   iterations 370/2000   F1 0.5776639629540076   accuracy 0.7022727272727273   precision 0.6868817204301075   recall 0.5878279651864557
deviation 5/5   iterations 380/2000   F1 0.6046056554492697   accuracy 0.7568181818181818   precision 0.6766820276497696   recall 0.5964421548306602
deviation 5/5   iterations 390/2000   F1 0.5976608747561747   accuracy 0.7397727272727272   precision 0.6834715821812596   recall 0.5943408148822161
deviation 5/5   iterations 400/2000   F1 0.5905266721975927   accuracy 0.7329545454545454   precision 0.675483870967742   recall 0.5893930288461539
deviation 5/5   iterations 410/2000   F1 0.5334562274741363   accuracy 0.6284090909090909   precision 0.6778801843317972   recall 0.5762821728957187
deviation 5/5   iterations 420/2000   F1 0.5696128241569187   accuracy 0.7102272727272727   precision 0.654347158218126   recall 0.5759481424148607
deviation 5/5   iterations 430/2000   F1 0.5668900844579363   accuracy 0.7022727272727273   precision 0.6580645161290323   recall 0.5761315410977147
deviation 5/5   iterations 440/2000   F1 0.5616850773692249   accuracy 0.6931818181818182   precision 0.6570199692780339   recall 0.5742916780529214
deviation 5/5   iterations 450/2000   F1 0.5578238617194622   accuracy 0.6818181818181818   precision 0.6629185867895545   recall 0.5751392832650378
deviation 5/5   iterations 460/2000   F1 0.573502449580716   accuracy 0.7068181818181818   precision 0.668878648233487   recall 0.5813401518783553
deviation 5/5   iterations 470/2000   F1 0.5647682060976413   accuracy 0.6931818181818182   precision 0.6652534562211981   recall 0.5776634267200305
deviation 5/5   iterations 480/2000   F1 0.5584383001645525   accuracy 0.6909090909090909   precision 0.6516129032258065   recall 0.5717334046548948
deviation 5/5   iterations 490/2000   F1 0.5917093680199711   accuracy 0.7431818181818182   precision 0.6648233486943165   recall 0.587549527085686
deviation 5/5   iterations 500/2000   F1 0.6133175595741086   accuracy 0.7784090909090909   precision 0.6683563748079877   recall 0.6007352941176471
deviation 5/5   iterations 510/2000   F1 0.573502449580716   accuracy 0.7068181818181818   precision 0.668878648233487   recall 0.5813401518783553
deviation 5/5   iterations 520/2000   F1 0.577989258672638   accuracy 0.7147727272727272   precision 0.6692780337941628   recall 0.5829599383295994
deviation 5/5   iterations 530/2000   F1 0.6040413956722706   accuracy 0.7875   precision 0.6405837173579109   recall 0.5923295454545454
deviation 5/5   iterations 540/2000   F1 0.5931576514100786   accuracy 0.759090909090909   precision 0.6491551459293394   recall 0.5854326357947787
deviation 5/5   iterations 550/2000   F1 0.6083825552229145   accuracy 0.775   precision 0.6623041474654378   recall 0.5967731299320775
deviation 5/5   iterations 560/2000   F1 0.6123382869883396   accuracy 0.7772727272727272   precision 0.6677112135176652   recall 0.599997069146169
deviation 5/5   iterations 570/2000   F1 0.5932929621022988   accuracy 0.7568181818181818   precision 0.6519815668202764   recall 0.5859624246721021
deviation 5/5   iterations 580/2000   F1 0.5995308468214873   accuracy 0.7795454545454545   precision 0.640184331797235   recall 0.5887225354851254
deviation 5/5   iterations 590/2000   F1 0.6094096759875721   accuracy 0.8045454545454546   precision 0.6337941628264209   recall 0.5978818854456042
deviation 5/5   iterations 600/2000   F1 0.6076373749541201   accuracy 0.7943181818181818   precision 0.6403379416282642   recall 0.5954721776350991
deviation 5/5   iterations 610/2000   F1 0.6048679597330113   accuracy 0.7806818181818181   precision 0.6490629800307219   recall 0.5932388390111918
deviation 5/5   iterations 620/2000   F1 0.6082589732303629   accuracy 0.7977272727272727   precision 0.6381566820276497   recall 0.5961958056318505
deviation 5/5   iterations 630/2000   F1 0.6109637488947834   accuracy 0.8090909090909091   precision 0.6322580645161291   recall 0.599883063730267
deviation 5/5   iterations 640/2000   F1 0.6161520542732781   accuracy 0.7863636363636364   precision 0.6646390168970814   recall 0.6025850121363869
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deviation 5/5   iterations 650/2000   F1 0.6056008454106281   accuracy 0.7840909090909091   precision 0.6468817204301076   recall 0.5937076149932184
deviation 5/5   iterations 660/2000   F1 0.5959356291536222   accuracy 0.7625   precision 0.6510906298003072   recall 0.5873845060412224
deviation 5/5   iterations 670/2000   F1 0.6048475908797861   accuracy 0.7965909090909091   precision 0.633394777265745   recall 0.5933233605007049
deviation 5/5   iterations 680/2000   F1 0.6112351190476191   accuracy 0.8272727272727273   precision 0.6178801843317973   recall 0.6059254187877516
deviation 5/5   iterations 690/2000   F1 0.5752294875956026   accuracy 0.7363636363636363   precision 0.6362519201228878   recall 0.5735484341729077
deviation 5/5   iterations 700/2000   F1 0.5894648449368527   accuracy 0.7784090909090909   precision 0.6230721966205838   recall 0.5801482121706841
deviation 5/5   iterations 710/2000   F1 0.5925556864047669   accuracy 0.7909090909090909   precision 0.6178187403993856   recall 0.5828229338539552
deviation 5/5   iterations 720/2000   F1 0.6046599232647366   accuracy 0.8170454545454545   precision 0.6161904761904762   recall 0.596974358974359
deviation 5/5   iterations 730/2000   F1 0.6101628664495113   accuracy 0.8261363636363637   precision 0.6172350230414747   recall 0.6046052631578948
deviation 5/5   iterations 740/2000   F1 0.601731924900153   accuracy 0.7795454545454545   precision 0.6443010752688172   recall 0.5906120023767083
deviation 5/5   iterations 750/2000   F1 0.6029782379429354   accuracy 0.821590909090909   precision 0.6105376344086021   recall 0.5972684804706085
deviation 5/5   iterations 760/2000   F1 0.5895511693049312   accuracy 0.7965909090909091   precision 0.6086943164362519   recall 0.5807762557077626
deviation 5/5   iterations 770/2000   F1 0.6010411332991978   accuracy 0.8068181818181818   precision 0.6186175115207373   recall 0.5915875169606513
deviation 5/5   iterations 780/2000   F1 0.6098447164669752   accuracy 0.8136363636363636   precision 0.626605222734255   recall 0.6000252429635239
deviation 5/5   iterations 790/2000   F1 0.6078952511237052   accuracy 0.8056818181818182   precision 0.6303225806451613   recall 0.5968493150684931
deviation 5/5   iterations 800/2000   F1 0.5970695970695971   accuracy 0.8022727272727272   precision 0.616036866359447   recall 0.5876325973772866
deviation 5/5   iterations 810/2000   F1 0.6081720065887418   accuracy 0.8147727272727273   precision 0.6231336405529955   recall 0.599027514231499
deviation 5/5   iterations 820/2000   F1 0.6073410157917201   accuracy 0.8431818181818181   precision 0.6022119815668203   recall 0.6136410214370619
deviation 5/5   iterations 830/2000   F1 0.6058419140220028   accuracy 0.7977272727272727   precision 0.6340399385560676   recall 0.5942259349165075
deviation 5/5   iterations 840/2000   F1 0.6071783889762539   accuracy 0.8261363636363637   precision 0.6131182795698925   recall 0.602373326215579
deviation 5/5   iterations 850/2000   F1 0.6013357530972707   accuracy 0.8102272727272727   precision 0.6164362519201229   recall 0.5925329114418532
deviation 5/5   iterations 860/2000   F1 0.5985565957074839   accuracy 0.8102272727272727   precision 0.6123195084485408   recall 0.5903304870335231
deviation 5/5   iterations 870/2000   F1 0.6071385794705952   accuracy 0.8136363636363636   precision 0.6224884792626728   recall 0.5979212307571395
deviation 5/5   iterations 880/2000   F1 0.6116821392334264   accuracy 0.821590909090909   precision 0.6228878648233487   recall 0.6038896276595744
deviation 5/5   iterations 890/2000   F1 0.5998908793307265   accuracy 0.8465909090909091   precision 0.5917972350230414   recall 0.6117193108399138
deviation 5/5   iterations 900/2000   F1 0.5931394481730052   accuracy 0.7886363636363637   precision 0.6206451612903225   recall 0.5832167832167832
deviation 5/5   iterations 910/2000   F1 0.6134169669469283   accuracy 0.8204545454545454   precision 0.6263594470046083   recall 0.6047962168387366
deviation 5/5   iterations 920/2000   F1 0.6135144461523983   accuracy 0.8090909090909091   precision 0.6363748079877112   recall 0.6018876412747087
deviation 5/5   iterations 930/2000   F1 0.5926303120081474   accuracy 0.8238636363636364   precision 0.5953609831029186   recall 0.5902157738095238
deviation 5/5   iterations 940/2000   F1 0.5947368421052632   accuracy 0.8090909090909091   precision 0.6075576036866359   recall 0.5870246085011186
deviation 5/5   iterations 950/2000   F1 0.5934389714813715   accuracy 0.8284090909090909   precision 0.5938248847926267   recall 0.5930598215591634
deviation 5/5   iterations 960/2000   F1 0.6095937143364164   accuracy 0.8352272727272727   precision 0.6100460829493087   recall 0.6091487494515138
deviation 5/5   iterations 970/2000   F1 0.5960878220478347   accuracy 0.8011363636363636   precision 0.6153917050691244   recall 0.5866747895436419
deviation 5/5   iterations 980/2000   F1 0.6074544012688343   accuracy 0.8363636363636363   precision 0.6065745007680492   recall 0.6083642588496958
deviation 5/5   iterations 990/2000   F1 0.6033018763348286   accuracy 0.7920454545454545   precision 0.6349308755760369   recall 0.5917937399678973
deviation 5/5   iterations 1000/2000   F1 0.6183104230615241   accuracy 0.8227272727272728   precision 0.6317665130568356   recall 0.6092805674741895
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deviation 5/5   iterations 1010/2000   F1 0.6037086092715233   accuracy 0.8068181818181818   precision 0.6227342549923195   recall 0.5937133474079287
deviation 5/5   iterations 1020/2000   F1 0.5997488664108824   accuracy 0.8147727272727273   precision 0.6107834101382488   recall 0.5924615384615385
deviation 5/5   iterations 1030/2000   F1 0.5957006927736336   accuracy 0.8272727272727273   precision 0.5972964669738864   recall 0.5942122109972751
deviation 5/5   iterations 1040/2000   F1 0.6073492643079108   accuracy 0.8079545454545455   precision 0.6274961597542242   recall 0.596814228658878
deviation 5/5   iterations 1050/2000   F1 0.6007662062707935   accuracy 0.8159090909090909   precision 0.6114285714285714   recall 0.5935961353853776
deviation 5/5   iterations 1060/2000   F1 0.5938664605231276   accuracy 0.8181818181818182   precision 0.60036866359447   recall 0.5889328063241106
deviation 5/5   iterations 1070/2000   F1 0.581566190854579   accuracy 0.8306818181818182   precision 0.5786482334869432   recall 0.5850340136054422
deviation 5/5   iterations 1080/2000   F1 0.5968419662105   accuracy 0.8147727272727273   precision 0.6066666666666667   recall 0.5901761968085106
deviation 5/5   iterations 1090/2000   F1 0.5910983346550357   accuracy 0.8295454545454546   precision 0.5903533026113672   recall 0.5918706501230773
deviation 5/5   iterations 1100/2000   F1 0.5807120247882468   accuracy 0.821590909090909   precision 0.5817204301075268   recall 0.5797591633083861
deviation 5/5   iterations 1110/2000   F1 0.6010044642857143   accuracy 0.8227272727272728   precision 0.6070660522273426   recall 0.5962079969964332
deviation 5/5   iterations 1120/2000   F1 0.5779023239194048   accuracy 0.8306818181818182   precision 0.574531490015361   recall 0.582088138162525
deviation 5/5   iterations 1130/2000   F1 0.5934389714813715   accuracy 0.8284090909090909   precision 0.5938248847926267   recall 0.5930598215591634
deviation 5/5   iterations 1140/2000   F1 0.5863825128809244   accuracy 0.8204545454545454   precision 0.5893087557603687   recall 0.5838515766519367
deviation 5/5   iterations 1150/2000   F1 0.5754278273809523   accuracy 0.8113636363636364   precision 0.5800307219662059   recall 0.5719144425181373
deviation 5/5   iterations 1160/2000   F1 0.5880357942738592   accuracy 0.8420454545454545   precision 0.5809831029185868   recall 0.5985582675281168
deviation 5/5   iterations 1170/2000   F1 0.588370754173863   accuracy 0.8227272727272728   precision 0.5905990783410138   recall 0.5863705057463184
deviation 5/5   iterations 1180/2000   F1 0.5994871794871794   accuracy 0.8386363636363636   precision 0.5955145929339478   recall 0.6042239356352666
deviation 5/5   iterations 1190/2000   F1 0.6010204205002961   accuracy 0.8295454545454546   precision 0.6027035330261137   recall 0.5994478753911874
deviation 5/5   iterations 1200/2000   F1 0.5955071430995282   accuracy 0.8306818181818182   precision 0.595115207373272   recall 0.595906026962728
deviation 5/5   iterations 1210/2000   F1 0.5975997834952452   accuracy 0.8329545454545455   precision 0.596405529953917   recall 0.5988583093905943
deviation 5/5   iterations 1220/2000   F1 0.5840746594415595   accuracy 0.821590909090909   precision 0.585837173579109   recall 0.5824675324675325
deviation 5/5   iterations 1230/2000   F1 0.5924138267271221   accuracy 0.8272727272727273   precision 0.5931797235023042   recall 0.5916746261077729
deviation 5/5   iterations 1240/2000   F1 0.5886753980079994   accuracy 0.8306818181818182   precision 0.5868817204301076   recall 0.5906410256410257
deviation 5/5   iterations 1250/2000   F1 0.5880540571963566   accuracy 0.8261363636363637   precision 0.5884178187403994   recall 0.5876968455950465
deviation 5/5   iterations 1260/2000   F1 0.5979334340842792   accuracy 0.8227272727272728   precision 0.6029493087557604   recall 0.5938434654030984
deviation 5/5   iterations 1270/2000   F1 0.5959595959595959   accuracy 0.8386363636363636   precision 0.5913978494623656   recall 0.6016176852345234
deviation 5/5   iterations 1280/2000   F1 0.6103989703989704   accuracy 0.8534090909090909   precision 0.5997849462365591   recall 0.6268750000000001
deviation 5/5   iterations 1290/2000   F1 0.5977293316821397   accuracy 0.8125   precision 0.6094930875576037   recall 0.5902406417112299
deviation 5/5   iterations 1300/2000   F1 0.590724868779483   accuracy 0.8329545454545455   precision 0.5881720430107527   recall 0.5936244062842528
deviation 5/5   iterations 1310/2000   F1 0.5801942902458366   accuracy 0.825   precision 0.5795391705069124   recall 0.5808749109719984
deviation 5/5   iterations 1320/2000   F1 0.590724868779483   accuracy 0.8329545454545455   precision 0.5881720430107527   recall 0.5936244062842528
deviation 5/5   iterations 1330/2000   F1 0.5955071430995282   accuracy 0.8306818181818182   precision 0.595115207373272   recall 0.595906026962728
deviation 5/5   iterations 1340/2000   F1 0.5991807979028427   accuracy 0.8420454545454545   precision 0.5933333333333334   recall 0.6068213783403658
deviation 5/5   iterations 1350/2000   F1 0.5955071430995282   accuracy 0.8306818181818182   precision 0.595115207373272   recall 0.595906026962728
deviation 5/5   iterations 1360/2000   F1 0.5988238857663865   accuracy 0.8306818181818182   precision 0.599231950844854   recall 0.5984227975232802
deviation 5/5   iterations 1370/2000   F1 0.5941965336052074   accuracy 0.8329545454545455   precision 0.592288786482335   recall 0.5962820512820513
deviation 5/5   iterations 1380/2000   F1 0.5900777087787166   accuracy 0.8284090909090909   precision 0.5897081413210445   recall 0.5904540047581285
deviation 5/5   iterations 1390/2000   F1 0.589085593633263   accuracy 0.8431818181818181   precision 0.5816282642089093   recall 0.6004142038669106
deviation 5/5   iterations 1400/2000   F1 0.585594538681632   accuracy 0.8352272727272727   precision 0.5812288786482335   recall 0.5911774442727874
deviation 5/5   iterations 1410/2000   F1 0.5779023239194048   accuracy 0.8306818181818182   precision 0.574531490015361   recall 0.582088138162525
deviation 5/5   iterations 1420/2000   F1 0.5934136151388547   accuracy 0.8397727272727272   precision 0.587926267281106   recall 0.600632911392405
deviation 5/5   iterations 1430/2000   F1 0.5978866950790099   accuracy 0.8261363636363637   precision 0.6007680491551459   recall 0.5953311011904762
deviation 5/5   iterations 1440/2000   F1 0.5647112641745916   accuracy 0.8488636363636364   precision 0.556036866359447   recall 0.5873161764705883
deviation 5/5   iterations 1450/2000   F1 0.5771750311298793   accuracy 0.8386363636363636   precision 0.5708141321044546   recall 0.5871113059515352
deviation 5/5   iterations 1460/2000   F1 0.5969085429364174   accuracy 0.821590909090909   precision 0.6023041474654378   recall 0.5925864139863872
deviation 5/5   iterations 1470/2000   F1 0.5776331268135833   accuracy 0.8261363636363637   precision 0.5760675883256529   recall 0.5793589743589744
deviation 5/5   iterations 1480/2000   F1 0.6027423508741162   accuracy 0.8420454545454545   precision 0.5974500768049156   recall 0.6093853453983669
deviation 5/5   iterations 1490/2000   F1 0.5944753854458795   accuracy 0.8409090909090909   precision 0.5885714285714285   recall 0.6023807156351653
deviation 5/5   iterations 1500/2000   F1 0.5776902276208293   accuracy 0.8102272727272727   precision 0.5835023041474654   recall 0.5734785241576192
deviation 5/5   iterations 1510/2000   F1 0.6019421922953598   accuracy 0.8204545454545454   precision 0.6098924731182795   recall 0.5960412840588115
deviation 5/5   iterations 1520/2000   F1 0.5904814222583004   accuracy 0.8488636363636364   precision 0.5807373271889401   recall 0.6075216025137471
deviation 5/5   iterations 1530/2000   F1 0.5866501177400139   accuracy 0.8284090909090909   precision 0.5855913978494623   recall 0.587769040778265
deviation 5/5   iterations 1540/2000   F1 0.601861607043987   accuracy 0.8375   precision 0.5989861751152074   recall 0.6051072602954225
deviation 5/5   iterations 1550/2000   F1 0.6140757638083841   accuracy 0.8534090909090909   precision 0.6039016897081413   recall 0.6292102206736353
deviation 5/5   iterations 1560/2000   F1 0.57955088389871   accuracy 0.8602272727272727   precision 0.566605222734255   recall 0.6174583911234397
deviation 5/5   iterations 1570/2000   F1 0.5826691429113416   accuracy 0.8238636363636364   precision 0.583010752688172   recall 0.5823338696309297
deviation 5/5   iterations 1580/2000   F1 0.5970264134766216   accuracy 0.8397727272727272   precision 0.5920430107526882   recall 0.6033160450231737
deviation 5/5   iterations 1590/2000   F1 0.5944753854458795   accuracy 0.8409090909090909   precision 0.5885714285714285   recall 0.6023807156351653
deviation 5/5   iterations 1600/2000   F1 0.6016657613615789   accuracy 0.8522727272727273   precision 0.5909062980030722   recall 0.6196406333392634
deviation 5/5   iterations 1610/2000   F1 0.5917589191525058   accuracy 0.8340909090909091   precision 0.5888172043010753   recall 0.5951600373925294
deviation 5/5   iterations 1620/2000   F1 0.6024659863945578   accuracy 0.8454545454545455   precision 0.595268817204301   recall 0.6123697293849922
deviation 5/5   iterations 1630/2000   F1 0.6009961561366466   accuracy 0.8477272727272728   precision 0.592442396313364   recall 0.613717101782286
deviation 5/5   iterations 1640/2000   F1 0.5972182372149581   accuracy 0.8477272727272728   precision 0.588325652841782   recall 0.6110570311655001
deviation 5/5   iterations 1650/2000   F1 0.5952416956499824   accuracy 0.8340909090909091   precision 0.5929339477726574   recall 0.5978090766823161
deviation 5/5   iterations 1660/2000   F1 0.5923586826034761   accuracy 0.8386363636363636   precision 0.5872811059907834   recall 0.5989219905569716
deviation 5/5   iterations 1670/2000   F1 0.5997176692024155   accuracy 0.8352272727272727   precision 0.5976958525345621   recall 0.6019230769230769
deviation 5/5   iterations 1680/2000   F1 0.5973512627257591   accuracy 0.8363636363636363   precision 0.5942242703533026   recall 0.600953246171874
deviation 5/5   iterations 1690/2000   F1 0.5939633368022929   accuracy 0.8443181818181819   precision 0.5863901689708142   recall 0.6051387891840153
deviation 5/5   iterations 1700/2000   F1 0.585594538681632   accuracy 0.8352272727272727   precision 0.5812288786482335   recall 0.5911774442727874
deviation 5/5   iterations 1710/2000   F1 0.569260890846794   accuracy 0.8488636363636364   precision 0.5601536098310291   recall 0.5911138411138411
deviation 5/5   iterations 1720/2000   F1 0.5811752848623982   accuracy 0.8261363636363637   precision 0.580184331797235   recall 0.5822244064721004
deviation 5/5   iterations 1730/2000   F1 0.5896970613438177   accuracy 0.8318181818181818   precision 0.5875268817204301   recall 0.5921183667662541
deviation 5/5   iterations 1740/2000   F1 0.5861665755792524   accuracy 0.8318181818181818   precision 0.5834101382488479   recall 0.5893668286131848
deviation 5/5   iterations 1750/2000   F1 0.5811610333313807   accuracy 0.8522727272727273   precision 0.5703225806451613   recall 0.6050559013052816
deviation 5/5   iterations 1760/2000   F1 0.5975997834952452   accuracy 0.8329545454545455   precision 0.596405529953917   recall 0.5988583093905943
deviation 5/5   iterations 1770/2000   F1 0.589085593633263   accuracy 0.8431818181818181   precision 0.5816282642089093   recall 0.6004142038669106
deviation 5/5   iterations 1780/2000   F1 0.585594538681632   accuracy 0.8352272727272727   precision 0.5812288786482335   recall 0.5911774442727874
deviation 5/5   iterations 1790/2000   F1 0.5822461545924855   accuracy 0.8443181818181819   precision 0.5740399385560676   recall 0.5963137029221818
deviation 5/5   iterations 1800/2000   F1 0.5896103896103897   accuracy 0.8204545454545454   precision 0.5934254992319509   recall 0.5864165956237568
deviation 5/5   iterations 1810/2000   F1 0.5988678405224047   accuracy 0.8534090909090909   precision 0.5874347158218126   recall 0.6192911273556434
deviation 5/5   iterations 1820/2000   F1 0.5994261752372545   accuracy 0.85   precision 0.589615975422427   recall 0.6152436037231941
deviation 5/5   iterations 1830/2000   F1 0.5788874662114099   accuracy 0.8318181818181818   precision 0.5751766513056835   recall 0.5835826809307155
deviation 5/5   iterations 1840/2000   F1 0.5865249079406012   accuracy 0.8534090909090909   precision 0.575084485407066   recall 0.6106563314981165
deviation 5/5   iterations 1850/2000   F1 0.5759496296579961   accuracy 0.8284090909090909   precision 0.5732411674347159   recall 0.579187925170068
deviation 5/5   iterations 1860/2000   F1 0.5836559139784947   accuracy 0.825   precision 0.5836559139784946   recall 0.5836559139784946
deviation 5/5   iterations 1870/2000   F1 0.5929353744841577   accuracy 0.8556818181818182   precision 0.5804915514592934   recall 0.6186250362213851
deviation 5/5   iterations 1880/2000   F1 0.5944700460829493   accuracy 0.8295454545454546   precision 0.5944700460829493   recall 0.5944700460829493
deviation 5/5   iterations 1890/2000   F1 0.6005652863935308   accuracy 0.8397727272727272   precision 0.5961597542242704   recall 0.6059092631692924
deviation 5/5   iterations 1900/2000   F1 0.589085593633263   accuracy 0.8431818181818181   precision 0.5816282642089093   recall 0.6004142038669106
deviation 5/5   iterations 1910/2000   F1 0.5648964470257246   accuracy 0.8386363636363636   precision 0.5584639016897082   recall 0.5769436043408647
deviation 5/5   iterations 1920/2000   F1 0.5769230769230769   accuracy 0.8295454545454546   precision 0.5738863287250384   recall 0.5806235333556822
deviation 5/5   iterations 1930/2000   F1 0.5998908793307265   accuracy 0.8465909090909091   precision 0.5917972350230414   recall 0.6117193108399138
deviation 5/5   iterations 1940/2000   F1 0.6013636168249947   accuracy 0.8443181818181819   precision 0.5946236559139785   recall 0.610479797979798
deviation 5/5   iterations 1950/2000   F1 0.5986555209856181   accuracy 0.8340909090909091   precision 0.5970506912442397   recall 0.6003762122040188
deviation 5/5   iterations 1960/2000   F1 0.5801973401973402   accuracy 0.8420454545454545   precision 0.5727496159754224   recall 0.5925
deviation 5/5   iterations 1970/2000   F1 0.5656855707106964   accuracy 0.85   precision 0.5566820276497696   recall 0.5896135688057352
deviation 5/5   iterations 1980/2000   F1 0.590724868779483   accuracy 0.8329545454545455   precision 0.5881720430107527   recall 0.5936244062842528
deviation 5/5   iterations 1990/2000   F1 0.5897245983381333   accuracy 0.8397727272727272   precision 0.5838095238095238   recall 0.5978535353535354
deviation 5/5   iterations 2000/2000   F1 0.5811610333313807   accuracy 0.8522727272727273   precision 0.5703225806451613   recall 0.6050559013052816

