deviation 1/5   iterations 10/2000   F1 0.14161506979378136   accuracy 0.14659090909090908   precision 0.49112807295796984   recall 0.47704466031868165
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deviation 1/5   iterations 20/2000   F1 0.39587179056888744   accuracy 0.4375   precision 0.5686459159397304   recall 0.5303436943721758
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deviation 1/5   iterations 30/2000   F1 0.1796638131772512   accuracy 0.1806818181818182   precision 0.4979678826328311   recall 0.49721613960041416
deviation 1/5   iterations 40/2000   F1 0.2880073078428814   accuracy 0.29545454545454547   precision 0.5214115781126091   recall 0.5129842806047309
deviation 1/5   iterations 50/2000   F1 0.4696179525454216   accuracy 0.5613636363636364   precision 0.5847541633624108   recall 0.5354955889984432
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deviation 1/5   iterations 60/2000   F1 0.44355646110340224   accuracy 0.509090909090909   precision 0.5925852498017447   recall 0.5388268795078048
deviation 1/5   iterations 70/2000   F1 0.4494435164729901   accuracy 0.525   precision 0.5807890563045202   recall 0.5336950904392765
deviation 1/5   iterations 80/2000   F1 0.439195653033808   accuracy 0.5056818181818182   precision 0.5823255352894529   recall 0.5345123135820811
deviation 1/5   iterations 90/2000   F1 0.4371798524341389   accuracy 0.5   precision 0.5874306106264868   recall 0.5367814174607477
deviation 1/5   iterations 100/2000   F1 0.5053176955434387   accuracy 0.6329545454545454   precision 0.5878766851704996   recall 0.5391220163394547
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deviation 1/5   iterations 110/2000   F1 0.49915780608485094   accuracy 0.6068181818181818   precision 0.6063639968279143   recall 0.5455587635869565
deviation 1/5   iterations 120/2000   F1 0.515907070029345   accuracy 0.6534090909090909   precision 0.5911478984932593   recall 0.5418166004399952
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deviation 1/5   iterations 130/2000   F1 0.5106727554545392   accuracy 0.6363636363636364   precision 0.5981363996827915   recall 0.5436363636363637
deviation 1/5   iterations 140/2000   F1 0.49812898965441343   accuracy 0.6113636363636363   precision 0.5964512291831879   recall 0.5416532888118324
deviation 1/5   iterations 150/2000   F1 0.5157016992354889   accuracy 0.6329545454545454   precision 0.6170202220459953   recall 0.5512728634949591
deviation 1/5   iterations 160/2000   F1 0.49087270350831735   accuracy 0.5965909090909091   precision 0.5964016653449643   recall 0.541082508250825
deviation 1/5   iterations 170/2000   F1 0.4881834937538399   accuracy 0.5965909090909091   precision 0.588074940523394   recall 0.5376405297634492
deviation 1/5   iterations 180/2000   F1 0.5167893460113574   accuracy 0.6409090909090909   precision 0.6090404440919905   recall 0.5484848484848485
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deviation 1/5   iterations 190/2000   F1 0.5346202416105361   accuracy 0.6806818181818182   precision 0.6066118160190326   recall 0.5509260081325354
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deviation 1/5   iterations 200/2000   F1 0.4656952034001214   accuracy 0.5454545454545454   precision 0.6007137192704204   recall 0.5419869410695098
deviation 1/5   iterations 210/2000   F1 0.4685124029816219   accuracy 0.5579545454545455   precision 0.5869845360824743   recall 0.5363777691410805
deviation 1/5   iterations 220/2000   F1 0.5128974908564817   accuracy 0.6352272727272728   precision 0.6058187946074545   recall 0.5467752978228125
deviation 1/5   iterations 230/2000   F1 0.5289537712895377   accuracy 0.675   precision 0.5992268041237113   recall 0.5471380471380471
deviation 1/5   iterations 240/2000   F1 0.518407960199005   accuracy 0.65   precision 0.6017049960348929   recall 0.5460544034473471
deviation 1/5   iterations 250/2000   F1 0.5022343743324647   accuracy 0.6238636363636364   precision 0.5910487708168121   recall 0.5399784547249985
deviation 1/5   iterations 260/2000   F1 0.5400319763866683   accuracy 0.6909090909090909   precision 0.6082474226804124   recall 0.5528250773993808
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deviation 1/5   iterations 270/2000   F1 0.5506634694312843   accuracy 0.7306818181818182   precision 0.5933287073750991   recall 0.5520313072071512
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deviation 1/5   iterations 280/2000   F1 0.5218808653561197   accuracy 0.675   precision 0.582573354480571   recall 0.5398193073448218
deviation 1/5   iterations 290/2000   F1 0.5495967842608543   accuracy 0.7204545454545455   precision 0.6000198255352894   recall 0.5533989574237252
deviation 1/5   iterations 300/2000   F1 0.5417383607998589   accuracy 0.7011363636363637   precision 0.601556304520222   recall 0.5511894872931904
deviation 1/5   iterations 310/2000   F1 0.5233335380869681   accuracy 0.6693181818181818   precision 0.5918417922283902   recall 0.5433960386184931
deviation 1/5   iterations 320/2000   F1 0.5386113399745338   accuracy 0.7136363636363636   precision 0.5836637589214908   recall 0.5446667195893202
deviation 1/5   iterations 330/2000   F1 0.5406402664987767   accuracy 0.7022727272727273   precision 0.5980372720063443   recall 0.5497597544715855
deviation 1/5   iterations 340/2000   F1 0.5340174884380203   accuracy 0.7011363636363637   precision 0.5849028548770817   recall 0.5436102571935921
deviation 1/5   iterations 350/2000   F1 0.5344110559405515   accuracy 0.6988636363636364   precision 0.5877775574940522   recall 0.5446570972886763
deviation 1/5   iterations 360/2000   F1 0.5443090413228846   accuracy 0.7102272727272727   precision 0.5983842188739096   recall 0.5510364775831592
deviation 1/5   iterations 370/2000   F1 0.544454997390285   accuracy 0.725   precision 0.585943695479778   recall 0.5474821325885155
deviation 1/5   iterations 380/2000   F1 0.538741737387087   accuracy 0.7079545454545455   precision 0.588768834258525   recall 0.5462817605674748
deviation 1/5   iterations 390/2000   F1 0.5367713833369498   accuracy 0.7022727272727273   precision 0.589710547184774   recall 0.545968253968254
deviation 1/5   iterations 400/2000   F1 0.5363439167009637   accuracy 0.6988636363636364   precision 0.5919409199048374   recall 0.5465568627450981
deviation 1/5   iterations 410/2000   F1 0.5269726130804415   accuracy 0.6852272727272727   precision 0.5842089611419509   recall 0.5415223222195746
deviation 1/5   iterations 420/2000   F1 0.5261630944057349   accuracy 0.6954545454545454   precision 0.5733544805709754   recall 0.5375873015873016
deviation 1/5   iterations 430/2000   F1 0.4961415100553819   accuracy 0.6147727272727272   precision 0.5858941316415543   recall 0.5374057705901716
deviation 1/5   iterations 440/2000   F1 0.5264372730017118   accuracy 0.6738636363636363   precision 0.594419111816019   recall 0.5449358690844759
deviation 1/5   iterations 450/2000   F1 0.5227913606643736   accuracy 0.6818181818181818   precision 0.578112609040444   recall 0.5384352746073554
deviation 1/5   iterations 460/2000   F1 0.5427037016817002   accuracy 0.7079545454545455   precision 0.5970955590800952   recall 0.5501180037223938
deviation 1/5   iterations 470/2000   F1 0.557269182182677   accuracy 0.7397727272727272   precision 0.5984833465503568   recall 0.5563053011143462
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deviation 1/5   iterations 480/2000   F1 0.5220252526842785   accuracy 0.6863636363636364   precision 0.5723632038065027   recall 0.536228287841191
deviation 1/5   iterations 490/2000   F1 0.539511803919603   accuracy 0.7034090909090909   precision 0.5945182394924663   recall 0.5483154821097169
deviation 1/5   iterations 500/2000   F1 0.5470959468124599   accuracy 0.7227272727272728   precision 0.5929817605075337   recall 0.5504789581315251
deviation 1/5   iterations 510/2000   F1 0.5272779783393502   accuracy 0.6829545454545455   precision 0.5870836637589215   recall 0.5425838741146032
deviation 1/5   iterations 520/2000   F1 0.5316751496526777   accuracy 0.6977272727272728   precision 0.58296986518636   recall 0.5423111919927206
deviation 1/5   iterations 530/2000   F1 0.544454997390285   accuracy 0.725   precision 0.585943695479778   recall 0.5474821325885155
deviation 1/5   iterations 540/2000   F1 0.5398849712428107   accuracy 0.7125   precision 0.5871827914353688   recall 0.5461707056190982
deviation 1/5   iterations 550/2000   F1 0.5287423044534016   accuracy 0.7022727272727273   precision 0.5730570975416336   recall 0.5381875178113423
deviation 1/5   iterations 560/2000   F1 0.5475536866846005   accuracy 0.7454545454545455   precision 0.5767248215701825   recall 0.5465270055002855
deviation 1/5   iterations 570/2000   F1 0.5587212668755592   accuracy 0.7943181818181818   precision 0.5669607454401269   recall 0.5543930106390473
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deviation 1/5   iterations 580/2000   F1 0.5458064516129032   accuracy 0.7363636363636363   precision 0.5798969072164948   recall 0.5464406096050243
deviation 1/5   iterations 590/2000   F1 0.5125989961914659   accuracy 0.6693181818181818   precision 0.5668616177636796   recall 0.5323053804383617
deviation 1/5   iterations 600/2000   F1 0.5309329756869219   accuracy 0.7181818181818181   precision 0.5654242664551943   recall 0.5363636363636364
deviation 1/5   iterations 610/2000   F1 0.5062107981798057   accuracy 0.6681818181818182   precision 0.5537272006344172   recall 0.5262190402476781
deviation 1/5   iterations 620/2000   F1 0.5286759560811687   accuracy 0.7181818181818181   precision 0.5612609040444092   recall 0.5342581557138502
deviation 1/5   iterations 630/2000   F1 0.5574490261220767   accuracy 0.7806818181818181   precision 0.5717188739095955   recall 0.5525804195168924
deviation 1/5   iterations 640/2000   F1 0.5185616675588023   accuracy 0.6840909090909091   precision 0.5669111816019032   recall 0.533498759305211
deviation 1/5   iterations 650/2000   F1 0.5328384162653825   accuracy 0.7113636363636363   precision 0.5740483743061062   recall 0.5397509578544062
deviation 1/5   iterations 660/2000   F1 0.5383522727272727   accuracy 0.7045454545454546   precision 0.5909992069785884   recall 0.5468558595345039
deviation 1/5   iterations 670/2000   F1 0.5450908469761128   accuracy 0.7386363636363636   precision 0.5770222045995241   recall 0.5453868395689127
deviation 1/5   iterations 680/2000   F1 0.541930032110867   accuracy 0.7375   precision 0.5722145122918318   recall 0.542702540317558
deviation 1/5   iterations 690/2000   F1 0.5325196587026241   accuracy 0.7238636363636364   precision 0.5644825535289453   recall 0.5366295725376748
deviation 1/5   iterations 700/2000   F1 0.543949558057179   accuracy 0.7545454545454545   precision 0.5652260111022998   recall 0.5421268286436826
deviation 1/5   iterations 710/2000   F1 0.5698778061949417   accuracy 0.8045454545454546   precision 0.5769230769230769   recall 0.565344617068755
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deviation 1/5   iterations 720/2000   F1 0.5278542583421467   accuracy 0.7238636363636364   precision 0.5561558287073751   recall 0.5323162600988313
deviation 1/5   iterations 730/2000   F1 0.5281132123237385   accuracy 0.7352272727272727   precision 0.550109040444092   recall 0.5304998076792542
deviation 1/5   iterations 740/2000   F1 0.5474788647342996   accuracy 0.7522727272727273   precision 0.5722640761300555   recall 0.5455397301349325
deviation 1/5   iterations 750/2000   F1 0.5344822785867417   accuracy 0.740909090909091   precision 0.5574940523394132   recall 0.535392829900839
deviation 1/5   iterations 760/2000   F1 0.5455598455598456   accuracy 0.7568181818181818   precision 0.5665146708961142   recall 0.5433238636363636
deviation 1/5   iterations 770/2000   F1 0.5436532071678715   accuracy 0.7238636363636364   precision 0.5852993655828708   recall 0.5469862331156022
deviation 1/5   iterations 780/2000   F1 0.5459246832880199   accuracy 0.7465909090909091   precision 0.5732057890563045   recall 0.5448939581607763
deviation 1/5   iterations 790/2000   F1 0.5458251366937685   accuracy 0.7647727272727273   precision 0.5626982553528945   recall 0.5428904428904429
deviation 1/5   iterations 800/2000   F1 0.5528630056673832   accuracy 0.7784090909090909   precision 0.566266851704996   recall 0.5485832901825053
deviation 1/5   iterations 810/2000   F1 0.5532626867496458   accuracy 0.7829545454545455   precision 0.5646808088818398   recall 0.5489795918367347
deviation 1/5   iterations 820/2000   F1 0.5403422325145549   accuracy 0.7352272727272727   precision 0.5709258524980174   recall 0.5416499916321644
deviation 1/5   iterations 830/2000   F1 0.5339980846149512   accuracy 0.7329545454545454   precision 0.5613104678826328   recall 0.536254661889375
deviation 1/5   iterations 840/2000   F1 0.5449326792610375   accuracy 0.7522727272727273   precision 0.5681007137192704   recall 0.5432633269309487
deviation 1/5   iterations 850/2000   F1 0.5405186249245065   accuracy 0.7534090909090909   precision 0.5604183187946075   recall 0.539186376385306
deviation 1/5   iterations 860/2000   F1 0.5378498011853852   accuracy 0.7534090909090909   precision 0.5562549563838224   recall 0.5367983789260384
deviation 1/5   iterations 870/2000   F1 0.5689682020617272   accuracy 0.803409090909091   precision 0.5762787470261697   recall 0.5643724315337076
deviation 1/5   iterations 880/2000   F1 0.5426492561553953   accuracy 0.7454545454545455   precision 0.5683980967486122   recall 0.5421052631578948
deviation 1/5   iterations 890/2000   F1 0.5466681093999564   accuracy 0.7511363636363636   precision 0.5716197462331483   recall 0.5449543068248104
deviation 1/5   iterations 900/2000   F1 0.5332236516798374   accuracy 0.7318181818181818   precision 0.5606661379857256   recall 0.5357487076141242
deviation 1/5   iterations 910/2000   F1 0.5474511515662355   accuracy 0.7670454545454546   precision 0.563986915146709   recall 0.5441854694492219
deviation 1/5   iterations 920/2000   F1 0.5423489446162068   accuracy 0.7522727272727273   precision 0.5639373513084853   recall 0.540952380952381
deviation 1/5   iterations 930/2000   F1 0.5474788647342996   accuracy 0.7522727272727273   precision 0.5722640761300555   recall 0.5455397301349325
deviation 1/5   iterations 940/2000   F1 0.5248749557269845   accuracy 0.7159090909090909   precision 0.5558088818398097   recall 0.5312092907231354
deviation 1/5   iterations 950/2000   F1 0.5458252046367117   accuracy 0.7727272727272727   precision 0.5588818398096749   recall 0.5425029515938606
deviation 1/5   iterations 960/2000   F1 0.5537012056759837   accuracy 0.7795454545454545   precision 0.5669111816019032   recall 0.5493150684931507
deviation 1/5   iterations 970/2000   F1 0.5532307692307692   accuracy 0.775   precision 0.5684972244250595   recall 0.5489446097180903
deviation 1/5   iterations 980/2000   F1 0.5451305791296547   accuracy 0.7420454545454546   precision 0.5747918318794607   recall 0.5448603131897942
deviation 1/5   iterations 990/2000   F1 0.5469414588168202   accuracy 0.7784090909090909   precision 0.5579401268834259   recall 0.5433963489898006
deviation 1/5   iterations 1000/2000   F1 0.5478978322713226   accuracy 0.7715909090909091   precision 0.5624008723235527   recall 0.5443657442890998
deviation 1/5   iterations 1010/2000   F1 0.5616325408822317   accuracy 0.8022727272727272   precision 0.5673076923076923   recall 0.5579450418160096
deviation 1/5   iterations 1020/2000   F1 0.5688311688311688   accuracy 0.8113636363636364   precision 0.57246233148295   recall 0.5659866401877596
deviation 1/5   iterations 1030/2000   F1 0.5521554581741257   accuracy 0.7897727272727273   precision 0.5602200634417129   recall 0.5483221476510067
deviation 1/5   iterations 1040/2000   F1 0.5538452587747367   accuracy 0.7920454545454545   precision 0.5615087232355274   recall 0.5499642680999688
deviation 1/5   iterations 1050/2000   F1 0.5622148958236717   accuracy 0.7988636363636363   precision 0.5695380650277557   recall 0.5579279307176994
deviation 1/5   iterations 1060/2000   F1 0.554367201426025   accuracy 0.7727272727272727   precision 0.5713719270420301   recall 0.55
deviation 1/5   iterations 1070/2000   F1 0.550240694012218   accuracy 0.7829545454545455   precision 0.5605174464710547   recall 0.5463417179835091
deviation 1/5   iterations 1080/2000   F1 0.5672615620802149   accuracy 0.8136363636363636   precision 0.5695876288659794   recall 0.5652901785714286
deviation 1/5   iterations 1090/2000   F1 0.5753707766963774   accuracy 0.8193181818181818   precision 0.5769726407613006   recall 0.5739180618522353
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deviation 1/5   iterations 1100/2000   F1 0.5549665178571428   accuracy 0.8022727272727272   precision 0.5589809674861221   recall 0.5521929824561403
deviation 1/5   iterations 1110/2000   F1 0.555835630512109   accuracy 0.8079545454545455   precision 0.5580392545598731   recall 0.5540434516735702
deviation 1/5   iterations 1120/2000   F1 0.5455311724835502   accuracy 0.7806818181818181   precision 0.5550654242664552   recall 0.5421667884354452
deviation 1/5   iterations 1130/2000   F1 0.545016157096694   accuracy 0.7636363636363637   precision 0.5620539254559873   recall 0.5422530457966319
deviation 1/5   iterations 1140/2000   F1 0.5337074101926302   accuracy 0.7397727272727272   precision 0.556849722442506   recall 0.5348634868046109
deviation 1/5   iterations 1150/2000   F1 0.5568948903355749   accuracy 0.7761363636363636   precision 0.5733049167327517   recall 0.5521182969051458
deviation 1/5   iterations 1160/2000   F1 0.5463686988593873   accuracy 0.7579545454545454   precision 0.5671590007930214   recall 0.5439311043566363
deviation 1/5   iterations 1170/2000   F1 0.5358023990481394   accuracy 0.7465909090909091   precision 0.5565523394131642   recall 0.5357817657250825
deviation 1/5   iterations 1180/2000   F1 0.5473586751867863   accuracy 0.7556818181818182   precision 0.570033703409992   recall 0.545043393715283
deviation 1/5   iterations 1190/2000   F1 0.5590021489302065   accuracy 0.7988636363636363   precision 0.5653747026169706   recall 0.5551703945373362
deviation 1/5   iterations 1200/2000   F1 0.5645777013189154   accuracy 0.8284090909090909   precision 0.5613104678826328   recall 0.5689146088385632
deviation 1/5   iterations 1210/2000   F1 0.5613357081246989   accuracy 0.7977272727272727   precision 0.5688937351308485   recall 0.557025641025641
deviation 1/5   iterations 1220/2000   F1 0.5458251366937685   accuracy 0.7647727272727273   precision 0.5626982553528945   recall 0.5428904428904429
deviation 1/5   iterations 1230/2000   F1 0.5672615620802149   accuracy 0.8136363636363636   precision 0.5695876288659794   recall 0.5652901785714286
deviation 1/5   iterations 1240/2000   F1 0.5391049443033028   accuracy 0.7715909090909091   precision 0.5499107850911975   recall 0.5365919021793439
deviation 1/5   iterations 1250/2000   F1 0.5482769852126897   accuracy 0.7761363636363636   precision 0.5608148295003965   recall 0.5445861608481182
deviation 1/5   iterations 1260/2000   F1 0.5739512286274875   accuracy 0.8056818181818182   precision 0.5817307692307692   recall 0.5689734500318934
deviation 1/5   iterations 1270/2000   F1 0.5635972749763818   accuracy 0.7965909090909091   precision 0.5724127676447264   recall 0.558821753178126
deviation 1/5   iterations 1280/2000   F1 0.5587212668755592   accuracy 0.7943181818181818   precision 0.5669607454401269   recall 0.5543930106390473
deviation 1/5   iterations 1290/2000   F1 0.5541055887921915   accuracy 0.8056818181818182   precision 0.5567505947660587   recall 0.5520602443876101
deviation 1/5   iterations 1300/2000   F1 0.5691020541403199   accuracy 0.8159090909090909   precision 0.5708762886597938   recall 0.5675324675324676
deviation 1/5   iterations 1310/2000   F1 0.5717099537355137   accuracy 0.8068181818181818   precision 0.5782117367168913   recall 0.5673323092677931
deviation 1/5   iterations 1320/2000   F1 0.570029528604508   accuracy 0.8170454545454545   precision 0.571520618556701   recall 0.5686823974583229
deviation 1/5   iterations 1330/2000   F1 0.5608817216224564   accuracy 0.7852272727272728   precision 0.5742961934972244   recall 0.555646815342781
deviation 1/5   iterations 1340/2000   F1 0.5532531065754405   accuracy 0.8   precision 0.5576923076923077   recall 0.5503481984514902
deviation 1/5   iterations 1350/2000   F1 0.559347032420769   accuracy 0.8125   precision 0.560616574147502   recall 0.5582110686704982
deviation 1/5   iterations 1360/2000   F1 0.5628810115150146   accuracy 0.8125   precision 0.5647799365582871   recall 0.5612472029897257
deviation 1/5   iterations 1370/2000   F1 0.5751344015867217   accuracy 0.8318181818181818   precision 0.5715701823949246   recall 0.5796733612888987
deviation 1/5   iterations 1380/2000   F1 0.5478978322713226   accuracy 0.7715909090909091   precision 0.5624008723235527   recall 0.5443657442890998
deviation 1/5   iterations 1390/2000   F1 0.5636363636363636   accuracy 0.8090909090909091   precision 0.5670103092783505   recall 0.5610218450983933
deviation 1/5   iterations 1400/2000   F1 0.5728417818740399   accuracy 0.8204545454545454   precision 0.5734536082474226   recall 0.5722539125347375
deviation 1/5   iterations 1410/2000   F1 0.5590021489302065   accuracy 0.7988636363636363   precision 0.5653747026169706   recall 0.5551703945373362
deviation 1/5   iterations 1420/2000   F1 0.5487179487179487   accuracy 0.7727272727272727   precision 0.56304520222046   recall 0.5450488737781556
deviation 1/5   iterations 1430/2000   F1 0.5602041909113625   accuracy 0.8090909090909091   precision 0.5628469468675654   recall 0.5580825431725528
deviation 1/5   iterations 1440/2000   F1 0.5648763853367434   accuracy 0.8022727272727272   precision 0.5714710547184774   recall 0.5607132331270261
deviation 1/5   iterations 1450/2000   F1 0.5618505371431249   accuracy 0.8068181818181818   precision 0.5657216494845361   recall 0.558988389163219
deviation 1/5   iterations 1460/2000   F1 0.5507557576523094   accuracy 0.7795454545454545   precision 0.5627478191911182   recall 0.5467434647762517
deviation 1/5   iterations 1470/2000   F1 0.5616325408822317   accuracy 0.8022727272727272   precision 0.5673076923076923   recall 0.5579450418160096
deviation 1/5   iterations 1480/2000   F1 0.5549665178571428   accuracy 0.8022727272727272   precision 0.5589809674861221   recall 0.5521929824561403
deviation 1/5   iterations 1490/2000   F1 0.5691020541403199   accuracy 0.8159090909090909   precision 0.5708762886597938   recall 0.5675324675324676
deviation 1/5   iterations 1500/2000   F1 0.5647165072648305   accuracy 0.8238636363636364   precision 0.562896510705789   recall 0.5668325630998934
deviation 1/5   iterations 1510/2000   F1 0.5584415584415584   accuracy 0.8068181818181818   precision 0.561558287073751   recall 0.5560570500090269
deviation 1/5   iterations 1520/2000   F1 0.5488171097927195   accuracy 0.7852272727272728   precision 0.5576427438540841   recall 0.5451654870435636
deviation 1/5   iterations 1530/2000   F1 0.5548735436203467   accuracy 0.7977272727272727   precision 0.5605670103092784   recall 0.5514504652435687
deviation 1/5   iterations 1540/2000   F1 0.555835630512109   accuracy 0.8079545454545455   precision 0.5580392545598731   recall 0.5540434516735702
deviation 1/5   iterations 1550/2000   F1 0.5557989926002298   accuracy 0.7863636363636364   precision 0.5666137985725614   recall 0.5512996679262567
deviation 1/5   iterations 1560/2000   F1 0.5449085813425864   accuracy 0.7886363636363637   precision 0.5512490087232356   recall 0.5418894830659536
deviation 1/5   iterations 1570/2000   F1 0.5532467532467532   accuracy 0.8045454545454546   precision 0.5561062648691515   recall 0.5510922549196606
deviation 1/5   iterations 1580/2000   F1 0.5558291587770714   accuracy 0.803409090909091   precision 0.5596252973830294   recall 0.5531366291588908
deviation 1/5   iterations 1590/2000   F1 0.5507117818362288   accuracy 0.7965909090909091   precision 0.5557593180015861   recall 0.547682119205298
deviation 1/5   iterations 1600/2000   F1 0.5725388601036269   accuracy 0.8159090909090909   precision 0.5750396510705789   recall 0.5704055059523809
deviation 1/5   iterations 1610/2000   F1 0.5656683035323813   accuracy 0.8204545454545454   precision 0.5651268834258525   recall 0.5662331770754574
deviation 1/5   iterations 1620/2000   F1 0.5730905947624214   accuracy 0.8125   precision 0.5772700237906423   recall 0.5698547120565469
deviation 1/5   iterations 1630/2000   F1 0.5422870131698808   accuracy 0.7943181818181818   precision 0.5461439333862015   recall 0.5399952744573681
deviation 1/5   iterations 1640/2000   F1 0.5583862014274386   accuracy 0.8159090909090909   precision 0.5583862014274386   recall 0.5583862014274386
deviation 1/5   iterations 1650/2000   F1 0.54866453623703   accuracy 0.8079545454545455   precision 0.5497125297383029   recall 0.5477397398826735
deviation 1/5   iterations 1660/2000   F1 0.5524022172987233   accuracy 0.7988636363636363   precision 0.5570479777954005   recall 0.5494463597211929
deviation 1/5   iterations 1670/2000   F1 0.5710246660817003   accuracy 0.8409090909090909   precision 0.5642347343378271   recall 0.5828697487051602
deviation 1/5   iterations 1680/2000   F1 0.5524022172987233   accuracy 0.7988636363636363   precision 0.5570479777954005   recall 0.5494463597211929
deviation 1/5   iterations 1690/2000   F1 0.5583297758189013   accuracy 0.8022727272727272   precision 0.5631443298969072   recall 0.555106189714088
deviation 1/5   iterations 1700/2000   F1 0.5590999460682475   accuracy 0.821590909090909   precision 0.5574444885011896   recall 0.5610393543205487
deviation 1/5   iterations 1710/2000   F1 0.56   accuracy 0.8227272727272728   precision 0.5580888183980968   recall 0.5622874149659864
deviation 1/5   iterations 1720/2000   F1 0.5618505371431249   accuracy 0.8068181818181818   precision 0.5657216494845361   recall 0.558988389163219
deviation 1/5   iterations 1730/2000   F1 0.5731967562953478   accuracy 0.8295454545454546   precision 0.5702815226011102   recall 0.5767689892263548
deviation 1/5   iterations 1740/2000   F1 0.5506382978723403   accuracy 0.7920454545454545   precision 0.5573453608247423   recall 0.5471672153201724
deviation 1/5   iterations 1750/2000   F1 0.563797201286239   accuracy 0.8227272727272728   precision 0.5622521808088818   recall 0.5655566574455869
deviation 1/5   iterations 1760/2000   F1 0.5645777013189154   accuracy 0.8284090909090909   precision 0.5613104678826328   recall 0.5689146088385632
deviation 1/5   iterations 1770/2000   F1 0.5555485844247511   accuracy 0.8170454545454545   precision 0.5548671689135607   recall 0.5562793121417405
deviation 1/5   iterations 1780/2000   F1 0.5517462848537196   accuracy 0.8170454545454545   precision 0.5507038065027756   recall 0.5529236022193769
deviation 1/5   iterations 1790/2000   F1 0.5673894557823129   accuracy 0.8318181818181818   precision 0.5632434575733545   recall 0.5732323232323233
deviation 1/5   iterations 1800/2000   F1 0.5584625986869944   accuracy 0.8113636363636364   precision 0.5599722442505948   recall 0.5571428571428572
deviation 1/5   iterations 1810/2000   F1 0.5590021489302065   accuracy 0.7988636363636363   precision 0.5653747026169706   recall 0.5551703945373362
deviation 1/5   iterations 1820/2000   F1 0.5737894058162816   accuracy 0.821590909090909   precision 0.5740979381443299   recall 0.5734869431643626
deviation 1/5   iterations 1830/2000   F1 0.5822849413435834   accuracy 0.8488636363636364   precision 0.5729084060269627   recall 0.5998794792144082
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deviation 1/5   iterations 1840/2000   F1 0.5644824058009699   accuracy 0.7977272727272727   precision 0.5730570975416336   recall 0.5597147950089126
deviation 1/5   iterations 1850/2000   F1 0.555835630512109   accuracy 0.8079545454545455   precision 0.5580392545598731   recall 0.5540434516735702
deviation 1/5   iterations 1860/2000   F1 0.5611294857712819   accuracy 0.8147727272727273   precision 0.5619052339413164   recall 0.5604030902781976
deviation 1/5   iterations 1870/2000   F1 0.5601704339568417   accuracy 0.8181818181818182   precision 0.559674861221253   recall 0.5606885427692928
deviation 1/5   iterations 1880/2000   F1 0.5691020541403199   accuracy 0.8159090909090909   precision 0.5708762886597938   recall 0.5675324675324676
deviation 1/5   iterations 1890/2000   F1 0.5761475583091642   accuracy 0.8420454545454545   precision 0.5690424266455194   recall 0.5880544888509616
deviation 1/5   iterations 1900/2000   F1 0.555835630512109   accuracy 0.8079545454545455   precision 0.5580392545598731   recall 0.5540434516735702
deviation 1/5   iterations 1910/2000   F1 0.5566205837173579   accuracy 0.8136363636363636   precision 0.5570975416336241   recall 0.5561649846423871
deviation 1/5   iterations 1920/2000   F1 0.5808758285923065   accuracy 0.8340909090909091   precision 0.5770222045995241   recall 0.5857426616640917
deviation 1/5   iterations 1930/2000   F1 0.556049287090166   accuracy 0.775   precision 0.5726605868358445   recall 0.5514043269399348
deviation 1/5   iterations 1940/2000   F1 0.5412834566830789   accuracy 0.7704545454545455   precision 0.5534298176050754   recall 0.5385674931129477
deviation 1/5   iterations 1950/2000   F1 0.5643939393939394   accuracy 0.8431818181818181   precision 0.5571966693100714   recall 0.5793454345434543
deviation 1/5   iterations 1960/2000   F1 0.573477835478287   accuracy 0.8170454545454545   precision 0.5756839809674862   recall 0.5715566021157699
deviation 1/5   iterations 1970/2000   F1 0.5645358674169356   accuracy 0.8102272727272727   precision 0.5676546391752577   recall 0.5620630861040068
deviation 1/5   iterations 1980/2000   F1 0.5692902458366376   accuracy 0.8204545454545454   precision 0.5692902458366376   recall 0.5692902458366376
deviation 1/5   iterations 1990/2000   F1 0.5638382236320381   accuracy 0.8181818181818182   precision 0.5638382236320381   recall 0.5638382236320381
deviation 1/5   iterations 2000/2000   F1 0.5665708426823419   accuracy 0.8261363636363637   precision 0.5641851704996035   recall 0.5694602748910493

deviation 2/5   iterations 10/2000   F1 0.2905804472031246   accuracy 0.29659090909090907   precision 0.5388940092165898   recall 0.5245189179139165
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deviation 2/5   iterations 20/2000   F1 0.17065390749601275   accuracy 0.17272727272727273   precision 0.501505376344086   recall 0.5024520106487319
deviation 2/5   iterations 30/2000   F1 0.33734852064036547   accuracy 0.3534090909090909   precision 0.5588018433179724   recall 0.53099173553719
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deviation 2/5   iterations 40/2000   F1 0.3415320702228545   accuracy 0.35568181818181815   precision 0.5806758832565284   recall 0.5434296525627795
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deviation 2/5   iterations 50/2000   F1 0.4955008848675192   accuracy 0.5818181818181818   precision 0.6349615975422427   recall 0.5569752903885162
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deviation 2/5   iterations 60/2000   F1 0.5208268893700382   accuracy 0.615909090909091   precision 0.6584331797235023   recall 0.5677301406349323
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deviation 2/5   iterations 70/2000   F1 0.4734110513694753   accuracy 0.5375   precision 0.6468509984639017   recall 0.5619761845490001
deviation 2/5   iterations 80/2000   F1 0.5456892101187403   accuracy 0.6556818181818181   precision 0.6686635944700461   recall 0.5745940129133242
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deviation 2/5   iterations 90/2000   F1 0.5627382485904309   accuracy 0.6988636363636364   precision 0.6520122887864823   recall 0.5730811040741091
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deviation 2/5   iterations 100/2000   F1 0.4676797194623027   accuracy 0.5295454545454545   precision 0.6423348694316436   recall 0.5602079272254711
deviation 2/5   iterations 110/2000   F1 0.44801256231505515   accuracy 0.5011363636363636   precision 0.6303225806451613   recall 0.5558875608676406
deviation 2/5   iterations 120/2000   F1 0.43968310315488157   accuracy 0.4863636363636364   precision 0.6342857142857143   recall 0.5584236442667038
deviation 2/5   iterations 130/2000   F1 0.43133569108665515   accuracy 0.47613636363636364   precision 0.6243625192012289   recall 0.5544507575757576
deviation 2/5   iterations 140/2000   F1 0.44803991446899505   accuracy 0.5   precision 0.6337941628264209   recall 0.5574917491749175
deviation 2/5   iterations 150/2000   F1 0.4889571396926319   accuracy 0.5590909090909091   precision 0.6591090629800307   recall 0.5669055751631623
deviation 2/5   iterations 160/2000   F1 0.5305534956621122   accuracy 0.6329545454545454   precision 0.6598771121351766   recall 0.5692669733367408
deviation 2/5   iterations 170/2000   F1 0.5226376650525257   accuracy 0.6272727272727273   precision 0.6443010752688172   recall 0.5625696031885588
deviation 2/5   iterations 180/2000   F1 0.5309004857391955   accuracy 0.6352272727272728   precision 0.6570506912442396   recall 0.5682692307692307
deviation 2/5   iterations 190/2000   F1 0.5013034115380256   accuracy 0.5852272727272727   precision 0.6492473118279569   recall 0.56295225062719
deviation 2/5   iterations 200/2000   F1 0.4337384453546409   accuracy 0.4772727272727273   precision 0.6332411674347158   recall 0.5585072226808908
deviation 2/5   iterations 210/2000   F1 0.5271673156396972   accuracy 0.6318181818181818   precision 0.6509984639016897   recall 0.5655826514872517
deviation 2/5   iterations 220/2000   F1 0.502255424692004   accuracy 0.5897727272727272   precision 0.643594470046083   recall 0.5607189623994513
deviation 2/5   iterations 230/2000   F1 0.499936507936508   accuracy 0.5931818181818181   precision 0.6290629800307219   recall 0.5548218713297665
deviation 2/5   iterations 240/2000   F1 0.52529262086514   accuracy 0.6386363636363637   precision 0.6342857142857143   recall 0.5592035757822024
deviation 2/5   iterations 250/2000   F1 0.5669841269841269   accuracy 0.7181818181818181   precision 0.6382795698924731   recall 0.5706039215686274
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deviation 2/5   iterations 260/2000   F1 0.5278961865241991   accuracy 0.6443181818181818   precision 0.633394777265745   recall 0.5592534771501562
deviation 2/5   iterations 270/2000   F1 0.516335355087866   accuracy 0.6147727272727272   precision 0.6454377880184332   recall 0.5623695693416808
deviation 2/5   iterations 280/2000   F1 0.5125418511056535   accuracy 0.6147727272727272   precision 0.6330875576036866   recall 0.5573088646177292
deviation 2/5   iterations 290/2000   F1 0.5291484525266655   accuracy 0.6522727272727272   precision 0.6255606758832566   recall 0.5566458766458766
deviation 2/5   iterations 300/2000   F1 0.5704761904761905   accuracy 0.7204545454545455   precision 0.6436866359447004   recall 0.573364705882353
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deviation 2/5   iterations 310/2000   F1 0.5340440653873489   accuracy 0.6613636363636364   precision 0.626605222734255   recall 0.5578873437280517
deviation 2/5   iterations 320/2000   F1 0.5381091482357305   accuracy 0.678409090909091   precision 0.6156989247311828   recall 0.5550263004091175
deviation 2/5   iterations 330/2000   F1 0.5637068011314721   accuracy 0.7068181818181818   precision 0.6441781874039938   recall 0.5710892576906065
deviation 2/5   iterations 340/2000   F1 0.5644346109628858   accuracy 0.7147727272727272   precision 0.6363440860215054   recall 0.56913806425883
deviation 2/5   iterations 350/2000   F1 0.5486873166353674   accuracy 0.6909090909090909   precision 0.6269124423963133   recall 0.5613567095812119
deviation 2/5   iterations 360/2000   F1 0.5670480549199084   accuracy 0.7068181818181818   precision 0.6524116743471582   recall 0.5745454545454546
deviation 2/5   iterations 370/2000   F1 0.589414355567168   accuracy 0.7727272727272727   precision 0.6280798771121352   recall 0.5804261098378746
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deviation 2/5   iterations 380/2000   F1 0.5593819345813875   accuracy 0.7079545454545455   precision 0.6324731182795699   recall 0.5662878787878788
deviation 2/5   iterations 390/2000   F1 0.5731022752698306   accuracy 0.7215909090909091   precision 0.6484485407066052   recall 0.5756209935897436
deviation 2/5   iterations 400/2000   F1 0.5421138211382114   accuracy 0.6727272727272727   precision 0.6330568356374808   recall 0.5617391304347826
deviation 2/5   iterations 410/2000   F1 0.5429820964876315   accuracy 0.6761363636363636   precision 0.6308755760368663   recall 0.5612068965517242
deviation 2/5   iterations 420/2000   F1 0.517739709344808   accuracy 0.6318181818181818   precision 0.6221812596006144   recall 0.5537574817113722
deviation 2/5   iterations 430/2000   F1 0.5619007299041168   accuracy 0.7113636363636363   precision 0.6344086021505376   recall 0.5676997257967678
deviation 2/5   iterations 440/2000   F1 0.6007733271913845   accuracy 0.7784090909090909   precision 0.6436559139784946   recall 0.5898567211905055
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deviation 2/5   iterations 450/2000   F1 0.5904424522845575   accuracy 0.7659090909090909   precision 0.6365591397849462   recall 0.5819995720157322
deviation 2/5   iterations 460/2000   F1 0.5696228167126647   accuracy 0.7420454545454546   precision 0.6188940092165899   recall 0.5670403836026497
deviation 2/5   iterations 470/2000   F1 0.5940808559105089   accuracy 0.7602272727272728   precision 0.6498003072196621   recall 0.5860778443113772
deviation 2/5   iterations 480/2000   F1 0.598395026026605   accuracy 0.7704545454545455   precision 0.647373271889401   recall 0.588493126425077
deviation 2/5   iterations 490/2000   F1 0.5914716828712386   accuracy 0.7988636363636363   precision 0.609984639016897   recall 0.582613351055974
deviation 2/5   iterations 500/2000   F1 0.5865941864266245   accuracy 0.7534090909090909   precision 0.6418125960061444   recall 0.5804607318161535
deviation 2/5   iterations 510/2000   F1 0.5834356043339528   accuracy 0.7545454545454545   precision 0.6342242703533025   recall 0.5773772837722002
deviation 2/5   iterations 520/2000   F1 0.5818899610397463   accuracy 0.75   precision 0.6357603686635944   recall 0.5767875388368747
deviation 2/5   iterations 530/2000   F1 0.5693699166413553   accuracy 0.7363636363636363   precision 0.6239016897081413   recall 0.5680188354662655
deviation 2/5   iterations 540/2000   F1 0.5797978348738206   accuracy 0.7579545454545454   precision 0.6238095238095238   recall 0.5735637723064342
deviation 2/5   iterations 550/2000   F1 0.5628038365523584   accuracy 0.725   precision 0.6215668202764977   recall 0.5645728758020614
deviation 2/5   iterations 560/2000   F1 0.5865537463089503   accuracy 0.7806818181818181   precision 0.6161290322580646   recall 0.5776014978320851
deviation 2/5   iterations 570/2000   F1 0.5776735257368408   accuracy 0.7420454545454546   precision 0.6353609831029186   recall 0.5745243701117696
deviation 2/5   iterations 580/2000   F1 0.5926263877702289   accuracy 0.803409090909091   precision 0.6084485407066053   recall 0.584211229436238
deviation 2/5   iterations 590/2000   F1 0.5935202120114964   accuracy 0.775   precision 0.6334869431643625   recall 0.5838214073508191
deviation 2/5   iterations 600/2000   F1 0.5547498335637835   accuracy 0.7193181818181819   precision 0.6101075268817204   recall 0.5583333333333333
deviation 2/5   iterations 610/2000   F1 0.5340501792114696   accuracy 0.675   precision 0.6096466973886329   recall 0.5520568964813097
deviation 2/5   iterations 620/2000   F1 0.5553478971414316   accuracy 0.7284090909090909   precision 0.6029185867895546   recall 0.556662877865281
deviation 2/5   iterations 630/2000   F1 0.561102798664116   accuracy 0.7306818181818182   precision 0.6124423963133641   recall 0.561551501453019
deviation 2/5   iterations 640/2000   F1 0.5853186030682235   accuracy 0.7852272727272728   precision 0.6104761904761904   recall 0.5765601580596811
deviation 2/5   iterations 650/2000   F1 0.588030888030888   accuracy 0.7795454545454545   precision 0.6196006144393241   recall 0.5788855116514691
deviation 2/5   iterations 660/2000   F1 0.5906857077549111   accuracy 0.8011363636363636   precision 0.60715821812596   recall 0.5822765700483092
deviation 2/5   iterations 670/2000   F1 0.5797882475259868   accuracy 0.7693181818181818   precision 0.613794162826421   recall 0.5723075962018991
deviation 2/5   iterations 680/2000   F1 0.5830166549378372   accuracy 0.7704545454545455   precision 0.6185560675883257   recall 0.575034026832588
deviation 2/5   iterations 690/2000   F1 0.589414355567168   accuracy 0.7727272727272727   precision 0.6280798771121352   recall 0.5804261098378746
deviation 2/5   iterations 700/2000   F1 0.5818899610397463   accuracy 0.75   precision 0.6357603686635944   recall 0.5767875388368747
deviation 2/5   iterations 710/2000   F1 0.592883122592584   accuracy 0.7943181818181818   precision 0.6156374807987711   recall 0.5833156254426972
deviation 2/5   iterations 720/2000   F1 0.592883122592584   accuracy 0.7943181818181818   precision 0.6156374807987711   recall 0.5833156254426972
deviation 2/5   iterations 730/2000   F1 0.6043859649122808   accuracy 0.8136363636363636   precision 0.6183717357910906   recall 0.5957742977877206
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deviation 2/5   iterations 740/2000   F1 0.5680162668583699   accuracy 0.7602272727272728   precision 0.6003993855606758   recall 0.5627997786250154
deviation 2/5   iterations 750/2000   F1 0.591793041926851   accuracy 0.7784090909090909   precision 0.6271889400921659   recall 0.5821428571428571
deviation 2/5   iterations 760/2000   F1 0.5549090422685928   accuracy 0.725   precision 0.605099846390169   recall 0.5570474723017096
deviation 2/5   iterations 770/2000   F1 0.5892148401831683   accuracy 0.7670454545454546   precision 0.6330875576036866   recall 0.58078231292517
deviation 2/5   iterations 780/2000   F1 0.5875676327829904   accuracy 0.7704545454545455   precision 0.62678955453149   recall 0.5790013706077382
deviation 2/5   iterations 790/2000   F1 0.5973816516247102   accuracy 0.7965909090909091   precision 0.6210445468509984   recall 0.5872113613826321
deviation 2/5   iterations 800/2000   F1 0.5948132390504143   accuracy 0.7965909090909091   precision 0.6169278033794163   recall 0.5851042896497443
deviation 2/5   iterations 810/2000   F1 0.5983589743589743   accuracy 0.7977272727272727   precision 0.6216897081413211   recall 0.5881201334816463
deviation 2/5   iterations 820/2000   F1 0.5955707426791816   accuracy 0.8068181818181818   precision 0.610384024577573   recall 0.5872095845590735
deviation 2/5   iterations 830/2000   F1 0.6071783889762539   accuracy 0.8261363636363637   precision 0.6131182795698925   recall 0.602373326215579
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deviation 2/5   iterations 840/2000   F1 0.588941184826226   accuracy 0.8056818181818182   precision 0.601505376344086   recall 0.581633459835547
deviation 2/5   iterations 850/2000   F1 0.5918647794420777   accuracy 0.8159090909090909   precision 0.599078341013825   recall 0.5865901987949866
deviation 2/5   iterations 860/2000   F1 0.5857587862917644   accuracy 0.7920454545454545   precision 0.6061136712749616   recall 0.5772333726879182
deviation 2/5   iterations 870/2000   F1 0.584107744107744   accuracy 0.7806818181818181   precision 0.6120122887864823   recall 0.5755178127589063
deviation 2/5   iterations 880/2000   F1 0.5866489269393186   accuracy 0.7693181818181818   precision 0.6261443932411674   recall 0.5782990083905416
deviation 2/5   iterations 890/2000   F1 0.5975565936040245   accuracy 0.8090909090909091   precision 0.6116743471582181   recall 0.5892760656639585
deviation 2/5   iterations 900/2000   F1 0.5955882352941175   accuracy 0.7886363636363637   precision 0.6247619047619047   recall 0.5852642541004947
deviation 2/5   iterations 910/2000   F1 0.5768329940118329   accuracy 0.7715909090909091   precision 0.6068509984639017   recall 0.5695844937417971
deviation 2/5   iterations 920/2000   F1 0.5813073166650982   accuracy 0.7931818181818182   precision 0.5985253456221198   recall 0.5736097466924963
deviation 2/5   iterations 930/2000   F1 0.5968419662105   accuracy 0.8147727272727273   precision 0.6066666666666667   recall 0.5901761968085106
deviation 2/5   iterations 940/2000   F1 0.600911582748382   accuracy 0.8193181818181818   precision 0.609247311827957   recall 0.5948327359617682
deviation 2/5   iterations 950/2000   F1 0.5938431424885449   accuracy 0.8113636363636364   precision 0.6047311827956989   recall 0.5868588142969251
deviation 2/5   iterations 960/2000   F1 0.5938664605231276   accuracy 0.8181818181818182   precision 0.60036866359447   recall 0.5889328063241106
deviation 2/5   iterations 970/2000   F1 0.5752895752895753   accuracy 0.7727272727272727   precision 0.603379416282642   recall 0.5681864235055725
deviation 2/5   iterations 980/2000   F1 0.5867009362194078   accuracy 0.7931818181818182   precision 0.6067588325652842   recall 0.5781032266184787
deviation 2/5   iterations 990/2000   F1 0.5975997834952452   accuracy 0.8329545454545455   precision 0.596405529953917   recall 0.5988583093905943
deviation 2/5   iterations 1000/2000   F1 0.5868555436946423   accuracy 0.7965909090909091   precision 0.6045775729646697   recall 0.5785519125683061
deviation 2/5   iterations 1010/2000   F1 0.5957295217031296   accuracy 0.8102272727272727   precision 0.6082027649769586   recall 0.5880817094153896
deviation 2/5   iterations 1020/2000   F1 0.5958267032911677   accuracy 0.8238636363636364   precision 0.5994777265745008   recall 0.5927007466446796
deviation 2/5   iterations 1030/2000   F1 0.5818494658076908   accuracy 0.7840909090909091   precision 0.6057142857142856   recall 0.5736067972379804
deviation 2/5   iterations 1040/2000   F1 0.5987365986031408   accuracy 0.8136363636363636   precision 0.6101382488479263   recall 0.591343164932378
deviation 2/5   iterations 1050/2000   F1 0.5695267051483703   accuracy 0.7784090909090909   precision 0.5901382488479263   recall 0.5630609718353451
deviation 2/5   iterations 1060/2000   F1 0.6023475865373099   accuracy 0.8113636363636364   precision 0.6170814132104455   recall 0.5935986482105491
deviation 2/5   iterations 1070/2000   F1 0.5873739289372848   accuracy 0.821590909090909   precision 0.5899539170506912   recall 0.5851004464285714
deviation 2/5   iterations 1080/2000   F1 0.6013161743956963   accuracy 0.8011363636363636   precision 0.6236251920122888   recall 0.5909123770965876
deviation 2/5   iterations 1090/2000   F1 0.5754385964912281   accuracy 0.8   precision 0.5859293394777265   recall 0.5695252299279145
deviation 2/5   iterations 1100/2000   F1 0.5838860645283317   accuracy 0.7897727272727273   precision 0.6048233486943164   recall 0.5755241535628276
deviation 2/5   iterations 1110/2000   F1 0.5798786012841373   accuracy 0.8329545454545455   precision 0.5758218125960062   recall 0.5851081438975944
deviation 2/5   iterations 1120/2000   F1 0.6010418426035398   accuracy 0.8261363636363637   precision 0.6048847926267281   recall 0.5977394530713206
deviation 2/5   iterations 1130/2000   F1 0.5689682020617273   accuracy 0.803409090909091   precision 0.5755145929339478   recall 0.5646814870952802
deviation 2/5   iterations 1140/2000   F1 0.5902860126710893   accuracy 0.7943181818181818   precision 0.6115207373271889   recall 0.5811688311688311
deviation 2/5   iterations 1150/2000   F1 0.5898430659392468   accuracy 0.803409090909091   precision 0.6043317972350231   recall 0.5819498069498069
deviation 2/5   iterations 1160/2000   F1 0.5928533235813171   accuracy 0.8102272727272727   precision 0.6040860215053764   recall 0.5857843137254901
deviation 2/5   iterations 1170/2000   F1 0.5851013672795851   accuracy 0.8011363636363636   precision 0.5989247311827957   recall 0.5777027027027026
deviation 2/5   iterations 1180/2000   F1 0.6098447164669752   accuracy 0.8136363636363636   precision 0.626605222734255   recall 0.6000252429635239
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deviation 2/5   iterations 1190/2000   F1 0.6061101752158663   accuracy 0.8125   precision 0.6218433179723503   recall 0.5968299542950897
deviation 2/5   iterations 1200/2000   F1 0.6015857065559469   accuracy 0.8136363636363636   precision 0.6142549923195084   recall 0.593582349447917
deviation 2/5   iterations 1210/2000   F1 0.6041385515069726   accuracy 0.8261363636363637   precision 0.6090015360983103   recall 0.6000857555515436
deviation 2/5   iterations 1220/2000   F1 0.600911582748382   accuracy 0.8193181818181818   precision 0.609247311827957   recall 0.5948327359617682
deviation 2/5   iterations 1230/2000   F1 0.5927787345212573   accuracy 0.8204545454545454   precision 0.5975422427035331   recall 0.5889146531348366
deviation 2/5   iterations 1240/2000   F1 0.5808758285923066   accuracy 0.8340909090909091   precision 0.5764669738863287   recall 0.5866655524450202
deviation 2/5   iterations 1250/2000   F1 0.5888777910236169   accuracy 0.8022727272727272   precision 0.6036866359447004   recall 0.5809748654017792
deviation 2/5   iterations 1260/2000   F1 0.6134169669469283   accuracy 0.8204545454545454   precision 0.6263594470046083   recall 0.6047962168387366
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deviation 2/5   iterations 1270/2000   F1 0.609479946267511   accuracy 0.8318181818181818   precision 0.6122273425499232   recall 0.6069893039984067
deviation 2/5   iterations 1280/2000   F1 0.5955441075815641   accuracy 0.8420454545454545   precision 0.5892165898617512   recall 0.6041666666666666
deviation 2/5   iterations 1290/2000   F1 0.5938833348905291   accuracy 0.8147727272727273   precision 0.6025499231950845   recall 0.5878384068039241
deviation 2/5   iterations 1300/2000   F1 0.5751344015867216   accuracy 0.8318181818181818   precision 0.5710599078341014   recall 0.5805373333890445
deviation 2/5   iterations 1310/2000   F1 0.5882051282051282   accuracy 0.8340909090909091   precision 0.584700460829493   recall 0.5924237344954744
deviation 2/5   iterations 1320/2000   F1 0.6074813478837847   accuracy 0.8170454545454545   precision 0.6203072196620584   recall 0.5991532976827094
deviation 2/5   iterations 1330/2000   F1 0.6106912442396313   accuracy 0.8363636363636363   precision 0.6106912442396313   recall 0.6106912442396313
deviation 2/5   iterations 1340/2000   F1 0.6007662062707935   accuracy 0.8159090909090909   precision 0.6114285714285714   recall 0.5935961353853776
deviation 2/5   iterations 1350/2000   F1 0.6136558442915978   accuracy 0.8329545454545455   precision 0.6169892473118279   recall 0.6106770833333333
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deviation 2/5   iterations 1360/2000   F1 0.5860532728801163   accuracy 0.8238636363636364   precision 0.5871274961597542   recall 0.5850364613317981
deviation 2/5   iterations 1370/2000   F1 0.6015857065559469   accuracy 0.8136363636363636   precision 0.6142549923195084   recall 0.593582349447917
deviation 2/5   iterations 1380/2000   F1 0.6125608348504861   accuracy 0.8318181818181818   precision 0.6163440860215054   recall 0.6092349228692412
deviation 2/5   iterations 1390/2000   F1 0.5926303120081474   accuracy 0.8238636363636364   precision 0.5953609831029186   recall 0.5902157738095238
deviation 2/5   iterations 1400/2000   F1 0.5955071430995282   accuracy 0.8306818181818182   precision 0.595115207373272   recall 0.595906026962728
deviation 2/5   iterations 1410/2000   F1 0.5958267032911677   accuracy 0.8238636363636364   precision 0.5994777265745008   recall 0.5927007466446796
deviation 2/5   iterations 1420/2000   F1 0.5821082517454255   accuracy 0.8397727272727272   precision 0.5755760368663595   recall 0.5919777458722182
deviation 2/5   iterations 1430/2000   F1 0.6174202328746409   accuracy 0.8431818181818181   precision 0.6145622119815668   recall 0.6205719163465643
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deviation 2/5   iterations 1440/2000   F1 0.5957295217031296   accuracy 0.8102272727272727   precision 0.6082027649769586   recall 0.5880817094153896
deviation 2/5   iterations 1450/2000   F1 0.5955071430995282   accuracy 0.8306818181818182   precision 0.595115207373272   recall 0.595906026962728
deviation 2/5   iterations 1460/2000   F1 0.604202648244099   accuracy 0.8295454545454546   precision 0.6068202764976959   recall 0.6018346044353847
deviation 2/5   iterations 1470/2000   F1 0.6010204205002961   accuracy 0.8295454545454546   precision 0.6027035330261137   recall 0.5994478753911874
deviation 2/5   iterations 1480/2000   F1 0.5915611814345992   accuracy 0.85   precision 0.5813824884792627   recall 0.6096894409937889
deviation 2/5   iterations 1490/2000   F1 0.5836559139784947   accuracy 0.825   precision 0.5836559139784946   recall 0.5836559139784946
deviation 2/5   iterations 1500/2000   F1 0.5908716225659514   accuracy 0.8147727272727273   precision 0.5984331797235023   recall 0.5854454685099846
deviation 2/5   iterations 1510/2000   F1 0.5808758285923066   accuracy 0.8340909090909091   precision 0.5764669738863287   recall 0.5866655524450202
deviation 2/5   iterations 1520/2000   F1 0.5941965336052074   accuracy 0.8329545454545455   precision 0.592288786482335   recall 0.5962820512820513
deviation 2/5   iterations 1530/2000   F1 0.5941965336052074   accuracy 0.8329545454545455   precision 0.592288786482335   recall 0.5962820512820513
deviation 2/5   iterations 1540/2000   F1 0.589926752703174   accuracy 0.8102272727272727   precision 0.5999692780337942   recall 0.5834358974358974
deviation 2/5   iterations 1550/2000   F1 0.5926303120081474   accuracy 0.8238636363636364   precision 0.5953609831029186   recall 0.5902157738095238
deviation 2/5   iterations 1560/2000   F1 0.5917736199164991   accuracy 0.8193181818181818   precision 0.5968970814132104   recall 0.5876929578717914
deviation 2/5   iterations 1570/2000   F1 0.5851564996472312   accuracy 0.8306818181818182   precision 0.5827649769585254   recall 0.587882979278668
deviation 2/5   iterations 1580/2000   F1 0.5759496296579961   accuracy 0.8284090909090909   precision 0.5732411674347159   recall 0.579187925170068
deviation 2/5   iterations 1590/2000   F1 0.580574232005999   accuracy 0.8295454545454546   precision 0.5780030721966206   recall 0.5835736198338403
deviation 2/5   iterations 1600/2000   F1 0.6007863299561469   accuracy 0.8363636363636363   precision 0.5983410138248848   recall 0.6034997865983781
deviation 2/5   iterations 1610/2000   F1 0.5967269956602878   accuracy 0.8113636363636364   precision 0.6088479262672811   recall 0.5891536069088383
deviation 2/5   iterations 1620/2000   F1 0.57531716643001   accuracy 0.7636363636363637   precision 0.610568356374808   recall 0.5688940956668888
deviation 2/5   iterations 1630/2000   F1 0.5834399136772718   accuracy 0.8170454545454545   precision 0.5873732718894009   recall 0.5802265751940784
deviation 2/5   iterations 1640/2000   F1 0.5915611814345992   accuracy 0.85   precision 0.5813824884792627   recall 0.6096894409937889
deviation 2/5   iterations 1650/2000   F1 0.6028163928506951   accuracy 0.8181818181818182   precision 0.6127188940092165   recall 0.5959155503968379
deviation 2/5   iterations 1660/2000   F1 0.5983288762874419   accuracy 0.8068181818181818   precision 0.6145007680491551   recall 0.589420243956276
deviation 2/5   iterations 1670/2000   F1 0.6029782379429354   accuracy 0.821590909090909   precision 0.6105376344086021   recall 0.5972684804706085
deviation 2/5   iterations 1680/2000   F1 0.5941965336052074   accuracy 0.8329545454545455   precision 0.592288786482335   recall 0.5962820512820513
deviation 2/5   iterations 1690/2000   F1 0.6030544189193543   accuracy 0.8090909090909091   precision 0.6199078341013825   recall 0.5936429332335244
deviation 2/5   iterations 1700/2000   F1 0.5810509571977461   accuracy 0.8068181818181818   precision 0.589800307219662   recall 0.5754291435708461
deviation 2/5   iterations 1710/2000   F1 0.5876597818345392   accuracy 0.8295454545454546   precision 0.5862365591397849   recall 0.5891915250575122
deviation 2/5   iterations 1720/2000   F1 0.5948378095570281   accuracy 0.8125   precision 0.6053763440860215   recall 0.587948717948718
deviation 2/5   iterations 1730/2000   F1 0.6054126469317973   accuracy 0.8147727272727273   precision 0.6190168970814132   recall 0.5968848785562803
deviation 2/5   iterations 1740/2000   F1 0.5906115639787957   accuracy 0.821590909090909   precision 0.5940706605222734   recall 0.5876620402180386
deviation 2/5   iterations 1750/2000   F1 0.5966198979591837   accuracy 0.8431818181818181   precision 0.5898617511520737   recall 0.605992085924251
deviation 2/5   iterations 1760/2000   F1 0.5926303120081474   accuracy 0.8238636363636364   precision 0.5953609831029186   recall 0.5902157738095238
deviation 2/5   iterations 1770/2000   F1 0.5989431297665886   accuracy 0.8204545454545454   precision 0.6057757296466973   recall 0.593723799257396
deviation 2/5   iterations 1780/2000   F1 0.5938431424885449   accuracy 0.8113636363636364   precision 0.6047311827956989   recall 0.5868588142969251
deviation 2/5   iterations 1790/2000   F1 0.5918682847646286   accuracy 0.8090909090909091   precision 0.6034408602150537   recall 0.5847248643697597
deviation 2/5   iterations 1800/2000   F1 0.6030746163728611   accuracy 0.8352272727272727   precision 0.6018125960061445   recall 0.6044029436967588
deviation 2/5   iterations 1810/2000   F1 0.5831542624107914   accuracy 0.8284090909090909   precision 0.5814746543778802   recall 0.585
deviation 2/5   iterations 1820/2000   F1 0.589926752703174   accuracy 0.8102272727272727   precision 0.5999692780337942   recall 0.5834358974358974
deviation 2/5   iterations 1830/2000   F1 0.5886821766665349   accuracy 0.8386363636363636   precision 0.5831643625192012   recall 0.5961306268554951
deviation 2/5   iterations 1840/2000   F1 0.6094487768579047   accuracy 0.8488636363636364   precision 0.601321044546851   recall 0.6207457090972995
deviation 2/5   iterations 1850/2000   F1 0.6020023790642347   accuracy 0.8340909090909091   precision 0.6011674347158218   recall 0.6028663892741563
deviation 2/5   iterations 1860/2000   F1 0.6005652863935308   accuracy 0.8397727272727272   precision 0.5961597542242704   recall 0.6059092631692924
deviation 2/5   iterations 1870/2000   F1 0.5886753980079994   accuracy 0.8306818181818182   precision 0.5868817204301076   recall 0.5906410256410257
deviation 2/5   iterations 1880/2000   F1 0.5830934561504509   accuracy 0.8204545454545454   precision 0.5851920122887865   recall 0.5812158061832964
deviation 2/5   iterations 1890/2000   F1 0.5757004519847825   accuracy 0.8238636363636364   precision 0.5747772657450076   recall 0.5766797721659358
deviation 2/5   iterations 1900/2000   F1 0.5859569739621394   accuracy 0.8397727272727272   precision 0.5796927803379416   recall 0.5949710034561537
deviation 2/5   iterations 1910/2000   F1 0.5876597818345392   accuracy 0.8295454545454546   precision 0.5862365591397849   recall 0.5891915250575122
deviation 2/5   iterations 1920/2000   F1 0.6036300547177366   accuracy 0.8159090909090909   precision 0.6155453149001536   recall 0.595827515567831
deviation 2/5   iterations 1930/2000   F1 0.5841524270376531   accuracy 0.8295454545454546   precision 0.5821198156682028   recall 0.586427656850192
deviation 2/5   iterations 1940/2000   F1 0.6016503058756579   accuracy 0.8409090909090909   precision 0.5968049155145929   recall 0.6076293533357926
deviation 2/5   iterations 1950/2000   F1 0.5873739289372848   accuracy 0.821590909090909   precision 0.5899539170506912   recall 0.5851004464285714
deviation 2/5   iterations 1960/2000   F1 0.5851564996472312   accuracy 0.8306818181818182   precision 0.5827649769585254   recall 0.587882979278668
deviation 2/5   iterations 1970/2000   F1 0.5989638920495473   accuracy 0.8238636363636364   precision 0.6035944700460829   recall 0.5951209604621773
deviation 2/5   iterations 1980/2000   F1 0.5866386968965809   accuracy 0.8170454545454545   precision 0.5914900153609831   recall 0.5827995017571956
deviation 2/5   iterations 1990/2000   F1 0.5937892325921221   accuracy 0.821590909090909   precision 0.5981874039938556   recall 0.5901561653728109
deviation 2/5   iterations 2000/2000   F1 0.5910983346550357   accuracy 0.8295454545454546   precision 0.5903533026113672   recall 0.5918706501230773

deviation 3/5   iterations 10/2000   F1 0.1852863290301225   accuracy 0.18636363636363637   precision 0.509247311827957   recall 0.51277350579688
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deviation 3/5   iterations 20/2000   F1 0.3649254896891948   accuracy 0.39090909090909093   precision 0.5636251920122888   recall 0.5306449799054164
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deviation 3/5   iterations 30/2000   F1 0.2988176037535725   accuracy 0.3068181818181818   precision 0.5364669738863287   recall 0.5218972985337849
deviation 3/5   iterations 40/2000   F1 0.4852959673970466   accuracy 0.5772727272727273   precision 0.6076804915514593   recall 0.5455831785716143
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deviation 3/5   iterations 50/2000   F1 0.40479556479556483   accuracy 0.44545454545454544   precision 0.5863594470046083   recall 0.5384910310831166
deviation 3/5   iterations 60/2000   F1 0.5151710013580972   accuracy 0.6261363636363636   precision 0.6230721966205837   recall 0.5537850959163069
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deviation 3/5   iterations 70/2000   F1 0.49874955623052347   accuracy 0.5897727272727272   precision 0.6312442396313365   recall 0.555625
deviation 3/5   iterations 80/2000   F1 0.5003408348635316   accuracy 0.5920454545454545   precision 0.6325345622119816   recall 0.5562198961613045
deviation 3/5   iterations 90/2000   F1 0.5609588723512775   accuracy 0.6943181818181818   precision 0.6535483870967742   recall 0.5730274693161894
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deviation 3/5   iterations 100/2000   F1 0.5468295353058108   accuracy 0.675   precision 0.6425806451612903   recall 0.5659566485324966
deviation 3/5   iterations 110/2000   F1 0.41211365211365214   accuracy 0.45227272727272727   precision 0.6025806451612903   recall 0.5457209366013966
deviation 3/5   iterations 120/2000   F1 0.4649135717673224   accuracy 0.5352272727272728   precision 0.6167434715821812   recall 0.5491352201257862
deviation 3/5   iterations 130/2000   F1 0.48144730651342754   accuracy 0.5602272727272727   precision 0.6268202764976958   recall 0.5533234126984127
deviation 3/5   iterations 140/2000   F1 0.46971701992448883   accuracy 0.5420454545454545   precision 0.6206144393241168   recall 0.5507235142118864
deviation 3/5   iterations 150/2000   F1 0.5328832752613241   accuracy 0.6454545454545455   precision 0.6463901689708141   recall 0.5646747126623993
deviation 3/5   iterations 160/2000   F1 0.5447346749160631   accuracy 0.6659090909090909   precision 0.6497695852534562   recall 0.5679200173875244
deviation 3/5   iterations 170/2000   F1 0.559486067078258   accuracy 0.7034090909090909   precision 0.638125960061444   recall 0.5679663312693498
deviation 3/5   iterations 180/2000   F1 0.568799931007989   accuracy 0.7159090909090909   precision 0.6452227342549923   recall 0.5731466523065877
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deviation 3/5   iterations 190/2000   F1 0.529946637384654   accuracy 0.6534090909090909   precision 0.6262058371735791   recall 0.5570099475974776
deviation 3/5   iterations 200/2000   F1 0.4977667493796526   accuracy 0.5818181818181818   precision 0.6431950844854071   recall 0.5603834693613162
deviation 3/5   iterations 210/2000   F1 0.5052143174939985   accuracy 0.6079545454545454   precision 0.6209831029185868   recall 0.5520227853987445
deviation 3/5   iterations 220/2000   F1 0.527977747332586   accuracy 0.6329545454545454   precision 0.6516436251920124   recall 0.5659188034188034
deviation 3/5   iterations 230/2000   F1 0.5268945993031359   accuracy 0.6409090909090909   precision 0.6355760368663594   recall 0.559897063374432
deviation 3/5   iterations 240/2000   F1 0.5603197674418605   accuracy 0.7   precision 0.6444239631336406   recall 0.5700892777270856
deviation 3/5   iterations 250/2000   F1 0.5704042715484364   accuracy 0.7090909090909091   precision 0.6578187403993856   recall 0.5771900826446281
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deviation 3/5   iterations 260/2000   F1 0.5465529495380241   accuracy 0.6704545454545454   precision 0.6482334869431643   recall 0.5677763730861076
deviation 3/5   iterations 270/2000   F1 0.5729884098498056   accuracy 0.7125   precision 0.6597542242703534   recall 0.578608746130031
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deviation 3/5   iterations 280/2000   F1 0.5320731382052497   accuracy 0.6443181818181818   precision 0.6457450076804916   recall 0.5643222839291913
deviation 3/5   iterations 290/2000   F1 0.5544861402640545   accuracy 0.696590909090909   precision 0.6342549923195084   recall 0.5652800019120916
deviation 3/5   iterations 300/2000   F1 0.5736434108527132   accuracy 0.7318181818181818   precision 0.6377880184331797   recall 0.5731891200334206
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deviation 3/5   iterations 310/2000   F1 0.5660359653483631   accuracy 0.7193181818181819   precision 0.6348079877112136   recall 0.5693180669295319
deviation 3/5   iterations 320/2000   F1 0.5934876908343191   accuracy 0.7670454545454546   precision 0.6413210445468509   recall 0.5845588235294117
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deviation 3/5   iterations 330/2000   F1 0.5721993321591661   accuracy 0.7227272727272728   precision 0.6449769585253455   recall 0.5743707093821511
deviation 3/5   iterations 340/2000   F1 0.5569280343716434   accuracy 0.6931818181818182   precision 0.6446697388632873   recall 0.5691722829056766
deviation 3/5   iterations 350/2000   F1 0.5661963574350161   accuracy 0.7056818181818182   precision 0.6517665130568356   recall 0.5740834053172089
deviation 3/5   iterations 360/2000   F1 0.5584511293521808   accuracy 0.7090909090909091   precision 0.6290015360983103   recall 0.5649762625418577
deviation 3/5   iterations 370/2000   F1 0.5517750725818774   accuracy 0.6818181818181818   precision 0.6464516129032258   recall 0.5683817327388841
deviation 3/5   iterations 380/2000   F1 0.5785135916714864   accuracy 0.759090909090909   precision 0.6203379416282642   recall 0.5722592404017148
deviation 3/5   iterations 390/2000   F1 0.6060009825774022   accuracy 0.7897727272727273   precision 0.6418740399385561   recall 0.5939809840122432
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deviation 3/5   iterations 400/2000   F1 0.5744859365305767   accuracy 0.7511363636363636   precision 0.6199385560675883   recall 0.5698260073260073
deviation 3/5   iterations 410/2000   F1 0.5619007299041168   accuracy 0.7113636363636363   precision 0.6344086021505376   recall 0.5676997257967678
deviation 3/5   iterations 420/2000   F1 0.5729014152006644   accuracy 0.7284090909090909   precision 0.6399692780337942   recall 0.573396741932158
deviation 3/5   iterations 430/2000   F1 0.5657533217312194   accuracy 0.7238636363636364   precision 0.6291551459293394   recall 0.5677260542323951
deviation 3/5   iterations 440/2000   F1 0.5446367572126496   accuracy 0.6806818181818182   precision 0.6293394777265745   recall 0.5610909892967426
deviation 3/5   iterations 450/2000   F1 0.5586000374321543   accuracy 0.6954545454545454   precision 0.6459600614439325   recall 0.5700427539436828
deviation 3/5   iterations 460/2000   F1 0.5920689844565277   accuracy 0.7602272727272728   precision 0.6456835637480799   recall 0.5842572850035537
deviation 3/5   iterations 470/2000   F1 0.5822843822843823   accuracy 0.7454545454545455   precision 0.6414132104454685   recall 0.5780831212892281
deviation 3/5   iterations 480/2000   F1 0.5821081269489261   accuracy 0.7693181818181818   precision 0.617910906298003   recall 0.5743314430913204
deviation 3/5   iterations 490/2000   F1 0.5749704840613932   accuracy 0.7545454545454545   precision 0.6177572964669739   recall 0.569725898814678
deviation 3/5   iterations 500/2000   F1 0.5769796682718031   accuracy 0.7386363636363636   precision 0.637542242703533   recall 0.5746569814366425
deviation 3/5   iterations 510/2000   F1 0.5783719097129458   accuracy 0.7534090909090909   precision 0.6253456221198157   recall 0.5729739010989011
deviation 3/5   iterations 520/2000   F1 0.5744859365305767   accuracy 0.7511363636363636   precision 0.6199385560675883   recall 0.5698260073260073
deviation 3/5   iterations 530/2000   F1 0.5861187214611872   accuracy 0.7659090909090909   precision 0.6283256528417819   recall 0.5781770540894628
deviation 3/5   iterations 540/2000   F1 0.5774858824254918   accuracy 0.7522727272727273   precision 0.624700460829493   recall 0.5723586163620676
deviation 3/5   iterations 550/2000   F1 0.5633002573065664   accuracy 0.7420454545454546   precision 0.6065437788018433   recall 0.5612218958309796
deviation 3/5   iterations 560/2000   F1 0.589414355567168   accuracy 0.7727272727272727   precision 0.6280798771121352   recall 0.5804261098378746
deviation 3/5   iterations 570/2000   F1 0.5922779922779923   accuracy 0.7818181818181819   precision 0.6250076804915514   recall 0.5824518743667679
deviation 3/5   iterations 580/2000   F1 0.6119960185764564   accuracy 0.8102272727272727   precision 0.6329032258064516   recall 0.6009200851032063
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deviation 3/5   iterations 590/2000   F1 0.6081720065887418   accuracy 0.8147727272727273   precision 0.6231336405529955   recall 0.599027514231499
deviation 3/5   iterations 600/2000   F1 0.586143856077684   accuracy 0.7579545454545454   precision 0.6361597542242703   recall 0.5792696886446886
deviation 3/5   iterations 610/2000   F1 0.5946477764659582   accuracy 0.7659090909090909   precision 0.6447926267281106   recall 0.5857339319367537
deviation 3/5   iterations 620/2000   F1 0.5884084328411783   accuracy 0.7556818181818182   precision 0.6431029185867896   recall 0.5817055373130139
deviation 3/5   iterations 630/2000   F1 0.593222636066399   accuracy 0.7829545454545455   precision 0.6256528417818741   recall 0.5832356484647194
deviation 3/5   iterations 640/2000   F1 0.6053771440801476   accuracy 0.8   precision 0.6312135176651306   recall 0.5940657733611721
deviation 3/5   iterations 650/2000   F1 0.5889631872293979   accuracy 0.7806818181818181   precision 0.6202457757296467   recall 0.5796538699488782
deviation 3/5   iterations 660/2000   F1 0.5867768595041323   accuracy 0.7613636363636364   precision 0.633978494623656   recall 0.5793307186879234
deviation 3/5   iterations 670/2000   F1 0.5999095783455377   accuracy 0.7965909090909091   precision 0.6251612903225807   recall 0.5892825835407973
deviation 3/5   iterations 680/2000   F1 0.6052726141767797   accuracy 0.7943181818181818   precision 0.636221198156682   recall 0.5935253619520097
deviation 3/5   iterations 690/2000   F1 0.6116821392334264   accuracy 0.821590909090909   precision 0.6228878648233487   recall 0.6038896276595744
deviation 3/5   iterations 700/2000   F1 0.6004324801633592   accuracy 0.7943181818181818   precision 0.6279877112135177   recall 0.589540561917535
deviation 3/5   iterations 710/2000   F1 0.6232086462006201   accuracy 0.8306818181818182   precision 0.6321658986175116   recall 0.616300445521
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deviation 3/5   iterations 720/2000   F1 0.6254505971769816   accuracy 0.8329545454545455   precision 0.6334562211981567   recall 0.6190789473684211
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deviation 3/5   iterations 730/2000   F1 0.6074813478837847   accuracy 0.8170454545454545   precision 0.6203072196620584   recall 0.5991532976827094
deviation 3/5   iterations 740/2000   F1 0.618859649122807   accuracy 0.8204545454545454   precision 0.6345929339477726   recall 0.6088988317176236
deviation 3/5   iterations 750/2000   F1 0.6133975327733455   accuracy 0.8295454545454546   precision 0.6191705069124425   recall 0.6086299022078838
deviation 3/5   iterations 760/2000   F1 0.6269124423963134   accuracy 0.8431818181818181   precision 0.6269124423963134   recall 0.6269124423963134
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deviation 3/5   iterations 770/2000   F1 0.6118755985684763   accuracy 0.8409090909090909   precision 0.6091551459293395   recall 0.6148812064305023
deviation 3/5   iterations 780/2000   F1 0.6123133119961721   accuracy 0.8284090909090909   precision 0.6185253456221198   recall 0.6072667823301748
deviation 3/5   iterations 790/2000   F1 0.6193606989921709   accuracy 0.8181818181818182   precision 0.6374193548387097   recall 0.6085690152331575
deviation 3/5   iterations 800/2000   F1 0.5997113906578411   accuracy 0.8022727272727272   precision 0.6201536098310292   recall 0.5897685435966177
deviation 3/5   iterations 810/2000   F1 0.6151220344768731   accuracy 0.8136363636363636   precision 0.6348387096774193   recall 0.6041123056048429
deviation 3/5   iterations 820/2000   F1 0.5970695970695971   accuracy 0.8022727272727272   precision 0.616036866359447   recall 0.5876325973772866
deviation 3/5   iterations 830/2000   F1 0.6010411332991978   accuracy 0.8068181818181818   precision 0.6186175115207373   recall 0.5915875169606513
deviation 3/5   iterations 840/2000   F1 0.5941371897596248   accuracy 0.7988636363636363   precision 0.6141013824884793   recall 0.5847945205479452
deviation 3/5   iterations 850/2000   F1 0.5899240924326613   accuracy 0.7761363636363636   precision 0.6258986175115208   recall 0.5806464309329639
deviation 3/5   iterations 860/2000   F1 0.5885339135081492   accuracy 0.7772727272727272   precision 0.6224270353302611   recall 0.579395755465058
deviation 3/5   iterations 870/2000   F1 0.5894648449368527   accuracy 0.7784090909090909   precision 0.6230721966205838   recall 0.5801482121706841
deviation 3/5   iterations 880/2000   F1 0.5898989310575831   accuracy 0.7818181818181819   precision 0.6208909370199693   recall 0.580430214780355
deviation 3/5   iterations 890/2000   F1 0.5906526349485814   accuracy 0.7886363636363637   precision 0.6165284178187403   recall 0.5811364667026038
deviation 3/5   iterations 900/2000   F1 0.6043859649122808   accuracy 0.8136363636363636   precision 0.6183717357910906   recall 0.5957742977877206
deviation 3/5   iterations 910/2000   F1 0.5902860126710893   accuracy 0.7943181818181818   precision 0.6115207373271889   recall 0.5811688311688311
deviation 3/5   iterations 920/2000   F1 0.6038493880220499   accuracy 0.8193181818181818   precision 0.6133640552995392   recall 0.5971011746873816
deviation 3/5   iterations 930/2000   F1 0.6098891730605286   accuracy 0.8227272727272728   precision 0.6194162826420891   recall 0.6029668874172185
deviation 3/5   iterations 940/2000   F1 0.5987365986031408   accuracy 0.8136363636363636   precision 0.6101382488479263   recall 0.591343164932378
deviation 3/5   iterations 950/2000   F1 0.6172333640854298   accuracy 0.821590909090909   precision 0.6311213517665131   recall 0.6080659536541889
deviation 3/5   iterations 960/2000   F1 0.6029782379429354   accuracy 0.821590909090909   precision 0.6105376344086021   recall 0.5972684804706085
deviation 3/5   iterations 970/2000   F1 0.5936772406204871   accuracy 0.7863636363636364   precision 0.6234715821812595   recall 0.5836183723233382
deviation 3/5   iterations 980/2000   F1 0.5864987262230418   accuracy 0.7897727272727273   precision 0.6089400921658986   recall 0.5777113503278516
deviation 3/5   iterations 990/2000   F1 0.5989304812834224   accuracy 0.7954545454545454   precision 0.6245161290322581   recall 0.5883861513097637
deviation 3/5   iterations 1000/2000   F1 0.6043859649122808   accuracy 0.8136363636363636   precision 0.6183717357910906   recall 0.5957742977877206
deviation 3/5   iterations 1010/2000   F1 0.6177964992443984   accuracy 0.8340909090909091   precision 0.6217511520737327   recall 0.614311592112702
deviation 3/5   iterations 1020/2000   F1 0.5958891369047619   accuracy 0.8204545454545454   precision 0.6016589861751152   recall 0.5913492861007741
deviation 3/5   iterations 1030/2000   F1 0.6116821392334264   accuracy 0.821590909090909   precision 0.6228878648233487   recall 0.6038896276595744
deviation 3/5   iterations 1040/2000   F1 0.586948517528549   accuracy 0.8102272727272727   precision 0.595852534562212   recall 0.5810339095744681
deviation 3/5   iterations 1050/2000   F1 0.6149786286214314   accuracy 0.8375   precision 0.6154531490015361   recall 0.6145117254156306
deviation 3/5   iterations 1060/2000   F1 0.6020434659563356   accuracy 0.8238636363636364   precision 0.6077112135176651   recall 0.5974798701009831
deviation 3/5   iterations 1070/2000   F1 0.5987232102143183   accuracy 0.8011363636363636   precision 0.6195084485407065   recall 0.5888127853881279
deviation 3/5   iterations 1080/2000   F1 0.6040681619182326   accuracy 0.8102272727272727   precision 0.620552995391705   recall 0.5946911196911198
deviation 3/5   iterations 1090/2000   F1 0.6101628664495113   accuracy 0.8261363636363637   precision 0.6172350230414747   recall 0.6046052631578948
deviation 3/5   iterations 1100/2000   F1 0.5999698953864679   accuracy 0.8284090909090909   precision 0.6020583717357911   recall 0.5980519480519481
deviation 3/5   iterations 1110/2000   F1 0.5938664605231276   accuracy 0.8181818181818182   precision 0.60036866359447   recall 0.5889328063241106
deviation 3/5   iterations 1120/2000   F1 0.6127595133394637   accuracy 0.8352272727272727   precision 0.6141628264208909   recall 0.6114229514488582
deviation 3/5   iterations 1130/2000   F1 0.590268886043534   accuracy 0.8363636363636363   precision 0.5859907834101382   recall 0.5956060171332541
deviation 3/5   iterations 1140/2000   F1 0.6010044642857143   accuracy 0.8227272727272728   precision 0.6070660522273426   recall 0.5962079969964332
deviation 3/5   iterations 1150/2000   F1 0.6133975327733455   accuracy 0.8295454545454546   precision 0.6191705069124425   recall 0.6086299022078838
deviation 3/5   iterations 1160/2000   F1 0.6005652863935308   accuracy 0.8397727272727272   precision 0.5961597542242704   recall 0.6059092631692924
deviation 3/5   iterations 1170/2000   F1 0.6185667144407427   accuracy 0.8443181818181819   precision 0.6152073732718895   recall 0.622331541312177
deviation 3/5   iterations 1180/2000   F1 0.6030746163728611   accuracy 0.8352272727272727   precision 0.6018125960061445   recall 0.6044029436967588
deviation 3/5   iterations 1190/2000   F1 0.6062569819159118   accuracy 0.8284090909090909   precision 0.6102918586789554   recall 0.6027781594979617
deviation 3/5   iterations 1200/2000   F1 0.5993404654297392   accuracy 0.7988636363636363   precision 0.6223348694316436   recall 0.5890397481306572
deviation 3/5   iterations 1210/2000   F1 0.6030746163728611   accuracy 0.8352272727272727   precision 0.6018125960061445   recall 0.6044029436967588
deviation 3/5   iterations 1220/2000   F1 0.5831303123815711   accuracy 0.8409090909090909   precision 0.576221198156682   recall 0.5937627549092228
deviation 3/5   iterations 1230/2000   F1 0.5897792254795512   accuracy 0.8170454545454545   precision 0.5956067588325653   recall 0.5853070175438596
deviation 3/5   iterations 1240/2000   F1 0.5878054317496717   accuracy 0.8147727272727273   precision 0.5943164362519202   recall 0.582994506682815
deviation 3/5   iterations 1250/2000   F1 0.6030746163728611   accuracy 0.8352272727272727   precision 0.6018125960061445   recall 0.6044029436967588
deviation 3/5   iterations 1260/2000   F1 0.6030881336473014   accuracy 0.825   precision 0.6083563748079878   recall 0.5987722776713602
deviation 3/5   iterations 1270/2000   F1 0.5927787345212573   accuracy 0.8204545454545454   precision 0.5975422427035331   recall 0.5889146531348366
deviation 3/5   iterations 1280/2000   F1 0.5863825128809244   accuracy 0.8204545454545454   precision 0.5893087557603687   recall 0.5838515766519367
deviation 3/5   iterations 1290/2000   F1 0.5946714834048318   accuracy 0.8261363636363637   precision 0.5966513056835637   recall 0.5928571428571429
deviation 3/5   iterations 1300/2000   F1 0.6029436062990124   accuracy 0.8386363636363636   precision 0.5996313364055299   recall 0.6067464549512185
deviation 3/5   iterations 1310/2000   F1 0.5934389714813715   accuracy 0.8284090909090909   precision 0.5938248847926267   recall 0.5930598215591634
deviation 3/5   iterations 1320/2000   F1 0.589926752703174   accuracy 0.8102272727272727   precision 0.5999692780337942   recall 0.5834358974358974
deviation 3/5   iterations 1330/2000   F1 0.6073410157917201   accuracy 0.8431818181818181   precision 0.6022119815668203   recall 0.6136410214370619
deviation 3/5   iterations 1340/2000   F1 0.6071831260684256   accuracy 0.8465909090909091   precision 0.6000307219662058   recall 0.6167929292929293
deviation 3/5   iterations 1350/2000   F1 0.5873739289372848   accuracy 0.821590909090909   precision 0.5899539170506912   recall 0.5851004464285714
deviation 3/5   iterations 1360/2000   F1 0.6020023790642347   accuracy 0.8340909090909091   precision 0.6011674347158218   recall 0.6028663892741563
deviation 3/5   iterations 1370/2000   F1 0.5946714834048318   accuracy 0.8261363636363637   precision 0.5966513056835637   recall 0.5928571428571429
deviation 3/5   iterations 1380/2000   F1 0.6031430781498727   accuracy 0.8284090909090909   precision 0.6061751152073733   recall 0.6004464285714286
deviation 3/5   iterations 1390/2000   F1 0.5975997834952452   accuracy 0.8329545454545455   precision 0.596405529953917   recall 0.5988583093905943
deviation 3/5   iterations 1400/2000   F1 0.6020895060626613   accuracy 0.8272727272727273   precision 0.6055299539170507   recall 0.5990815843823194
deviation 3/5   iterations 1410/2000   F1 0.6010204205002961   accuracy 0.8295454545454546   precision 0.6027035330261137   recall 0.5994478753911874
deviation 3/5   iterations 1420/2000   F1 0.6049479806668305   accuracy 0.8443181818181819   precision 0.5987403993855607   recall 0.6130098452883264
deviation 3/5   iterations 1430/2000   F1 0.5968419662105   accuracy 0.8147727272727273   precision 0.6066666666666667   recall 0.5901761968085106
deviation 3/5   iterations 1440/2000   F1 0.5998771121351767   accuracy 0.8318181818181818   precision 0.5998771121351767   recall 0.5998771121351767
deviation 3/5   iterations 1450/2000   F1 0.601861607043987   accuracy 0.8375   precision 0.5989861751152074   recall 0.6051072602954225
deviation 3/5   iterations 1460/2000   F1 0.6074182652475941   accuracy 0.8329545454545455   precision 0.6087557603686635   recall 0.6061456534254461
deviation 3/5   iterations 1470/2000   F1 0.6051282051282051   accuracy 0.8409090909090909   precision 0.6009216589861751   recall 0.6101240362051625
deviation 3/5   iterations 1480/2000   F1 0.6010204205002961   accuracy 0.8295454545454546   precision 0.6027035330261137   recall 0.5994478753911874
deviation 3/5   iterations 1490/2000   F1 0.6031397786553556   accuracy 0.8318181818181818   precision 0.6039938556067588   recall 0.6023140815610982
deviation 3/5   iterations 1500/2000   F1 0.607429976176239   accuracy 0.8397727272727272   precision 0.6043932411674348   recall 0.6108486873010074
deviation 3/5   iterations 1510/2000   F1 0.6007863299561469   accuracy 0.8363636363636363   precision 0.5983410138248848   recall 0.6034997865983781
deviation 3/5   iterations 1520/2000   F1 0.5979206358785141   accuracy 0.8193181818181818   precision 0.6051305683563748   recall 0.5925104892080106
deviation 3/5   iterations 1530/2000   F1 0.6118967676305936   accuracy 0.8443181818181819   precision 0.6069738863287251   recall 0.6178198256726761
deviation 3/5   iterations 1540/2000   F1 0.6016503058756579   accuracy 0.8409090909090909   precision 0.5968049155145929   recall 0.6076293533357926
deviation 3/5   iterations 1550/2000   F1 0.6050669562070213   accuracy 0.8238636363636364   precision 0.6118279569892473   recall 0.599780701754386
deviation 3/5   iterations 1560/2000   F1 0.6071831260684256   accuracy 0.8465909090909091   precision 0.6000307219662058   recall 0.6167929292929293
deviation 3/5   iterations 1570/2000   F1 0.6120196051486417   accuracy 0.825   precision 0.6207066052227342   recall 0.6054923693226364
deviation 3/5   iterations 1580/2000   F1 0.6051948051948053   accuracy 0.8272727272727273   precision 0.6096466973886329   recall 0.6014208581983518
deviation 3/5   iterations 1590/2000   F1 0.585594538681632   accuracy 0.8352272727272727   precision 0.5812288786482335   recall 0.5911774442727874
deviation 3/5   iterations 1600/2000   F1 0.6030746163728611   accuracy 0.8352272727272727   precision 0.6018125960061445   recall 0.6044029436967588
deviation 3/5   iterations 1610/2000   F1 0.5917869088600796   accuracy 0.8056818181818182   precision 0.6056221198156682   recall 0.5839388257353803
deviation 3/5   iterations 1620/2000   F1 0.6043586443586444   accuracy 0.8511363636363637   precision 0.5943778801843318   recall 0.62
deviation 3/5   iterations 1630/2000   F1 0.6141581632653061   accuracy 0.85   precision 0.6060829493087557   recall 0.6251250163064748
deviation 3/5   iterations 1640/2000   F1 0.6189122273624604   accuracy 0.8352272727272727   precision 0.6223963133640553   recall 0.6157924107142857
deviation 3/5   iterations 1650/2000   F1 0.6085359498722658   accuracy 0.8409090909090909   precision 0.6050384024577573   recall 0.6125396637305631
deviation 3/5   iterations 1660/2000   F1 0.6151491297122365   accuracy 0.8409090909090909   precision 0.6132718894009217   recall 0.6171532429237789
deviation 3/5   iterations 1670/2000   F1 0.6160983102918587   accuracy 0.8386363636363636   precision 0.6160983102918587   recall 0.6160983102918587
deviation 3/5   iterations 1680/2000   F1 0.6107151634308183   accuracy 0.8465909090909091   precision 0.6041474654377881   recall 0.619198312236287
deviation 3/5   iterations 1690/2000   F1 0.618100761431333   accuracy 0.8375   precision 0.6195698924731182   recall 0.6167002494722702
deviation 3/5   iterations 1700/2000   F1 0.624591682511823   accuracy 0.8409090909090909   precision 0.6256221198156682   recall 0.6235929924677491
deviation 3/5   iterations 1710/2000   F1 0.5952416956499824   accuracy 0.8340909090909091   precision 0.5929339477726574   recall 0.5978090766823161
deviation 3/5   iterations 1720/2000   F1 0.6088324145878103   accuracy 0.821590909090909   precision 0.6187711213517665   recall 0.6017325586291103
deviation 3/5   iterations 1730/2000   F1 0.6060618030045688   accuracy 0.8454545454545455   precision 0.5993855606758833   recall 0.6148808931945056
deviation 3/5   iterations 1740/2000   F1 0.598100109609061   accuracy 0.8409090909090909   precision 0.5926881720430107   recall 0.6050502096129473
deviation 3/5   iterations 1750/2000   F1 0.6140242821280925   accuracy 0.8397727272727272   precision 0.612626728110599   recall 0.6154922123090881
deviation 3/5   iterations 1760/2000   F1 0.606340148226959   accuracy 0.8318181818181818   precision 0.6081105990783411   recall 0.6046835397850998
deviation 3/5   iterations 1770/2000   F1 0.6103896103896104   accuracy 0.8295454545454546   precision 0.6150537634408602   recall 0.6064222790565501
deviation 3/5   iterations 1780/2000   F1 0.6027423508741162   accuracy 0.8420454545454545   precision 0.5974500768049156   recall 0.6093853453983669
deviation 3/5   iterations 1790/2000   F1 0.5944753854458795   accuracy 0.8409090909090909   precision 0.5885714285714285   recall 0.6023807156351653
deviation 3/5   iterations 1800/2000   F1 0.5848820687695369   accuracy 0.8113636363636364   precision 0.5923809523809525   recall 0.5796556291390729
deviation 3/5   iterations 1810/2000   F1 0.5970264134766216   accuracy 0.8397727272727272   precision 0.5920430107526882   recall 0.6033160450231737
deviation 3/5   iterations 1820/2000   F1 0.5917736199164991   accuracy 0.8193181818181818   precision 0.5968970814132104   recall 0.5876929578717914
deviation 3/5   iterations 1830/2000   F1 0.5952416956499824   accuracy 0.8340909090909091   precision 0.5929339477726574   recall 0.5978090766823161
deviation 3/5   iterations 1840/2000   F1 0.5922779922779923   accuracy 0.8465909090909091   precision 0.5835637480798771   recall 0.60625
deviation 3/5   iterations 1850/2000   F1 0.5797415095936453   accuracy 0.8204545454545454   precision 0.5810752688172043   recall 0.5785052178155381
deviation 3/5   iterations 1860/2000   F1 0.6010204205002961   accuracy 0.8295454545454546   precision 0.6027035330261137   recall 0.5994478753911874
deviation 3/5   iterations 1870/2000   F1 0.5846482744579049   accuracy 0.8261363636363637   precision 0.5843010752688172   recall 0.585001982553529
deviation 3/5   iterations 1880/2000   F1 0.589085593633263   accuracy 0.8431818181818181   precision 0.5816282642089093   recall 0.6004142038669106
deviation 3/5   iterations 1890/2000   F1 0.5934389714813715   accuracy 0.8284090909090909   precision 0.5938248847926267   recall 0.5930598215591634
deviation 3/5   iterations 1900/2000   F1 0.585594538681632   accuracy 0.8352272727272727   precision 0.5812288786482335   recall 0.5911774442727874
deviation 3/5   iterations 1910/2000   F1 0.5944753854458795   accuracy 0.8409090909090909   precision 0.5885714285714285   recall 0.6023807156351653
deviation 3/5   iterations 1920/2000   F1 0.5876597818345392   accuracy 0.8295454545454546   precision 0.5862365591397849   recall 0.5891915250575122
deviation 3/5   iterations 1930/2000   F1 0.5975997834952452   accuracy 0.8329545454545455   precision 0.596405529953917   recall 0.5988583093905943
deviation 3/5   iterations 1940/2000   F1 0.5939633368022929   accuracy 0.8443181818181819   precision 0.5863901689708142   recall 0.6051387891840153
deviation 3/5   iterations 1950/2000   F1 0.5921249506176295   accuracy 0.8306818181818182   precision 0.5909984639016896   recall 0.5933136750844297
deviation 3/5   iterations 1960/2000   F1 0.5923586826034761   accuracy 0.8386363636363636   precision 0.5872811059907834   recall 0.5989219905569716
deviation 3/5   iterations 1970/2000   F1 0.607429976176239   accuracy 0.8397727272727272   precision 0.6043932411674348   recall 0.6108486873010074
deviation 3/5   iterations 1980/2000   F1 0.5907738095238095   accuracy 0.8409090909090909   precision 0.5844546850998464   recall 0.5996144424635097
deviation 3/5   iterations 1990/2000   F1 0.5941965336052074   accuracy 0.8329545454545455   precision 0.592288786482335   recall 0.5962820512820513
deviation 3/5   iterations 2000/2000   F1 0.5938461538461538   accuracy 0.8363636363636363   precision 0.5901075268817204   recall 0.5983238350653705

deviation 4/5   iterations 10/2000   F1 0.4124110418040131   accuracy 0.46136363636363636   precision 0.5748079877112136   recall 0.5325466881238672
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deviation 4/5   iterations 20/2000   F1 0.36631202080589054   accuracy 0.39431818181818185   precision 0.5573271889400921   recall 0.5272647574517826
deviation 4/5   iterations 30/2000   F1 0.4797289307876701   accuracy 0.5625   precision 0.6157603686635944   recall 0.5487214498510428
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deviation 4/5   iterations 40/2000   F1 0.5653462412328362   accuracy 0.7045454545454546   precision 0.6511213517665131   recall 0.5736240578096281
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deviation 4/5   iterations 50/2000   F1 0.523266626238124   accuracy 0.6193181818181818   precision 0.6603686635944701   recall 0.5686842105263158
deviation 4/5   iterations 60/2000   F1 0.47154568703840916   accuracy 0.5431818181818182   precision 0.6253763440860215   recall 0.5527318210245039
deviation 4/5   iterations 70/2000   F1 0.5261065672752434   accuracy 0.625   precision 0.6594777265745008   recall 0.5686237183453104
deviation 4/5   iterations 80/2000   F1 0.5135340945116462   accuracy 0.6056818181818182   precision 0.6526267281105991   recall 0.5649255603880896
deviation 4/5   iterations 90/2000   F1 0.5873816258762761   accuracy 0.7227272727272728   precision 0.6820276497695852   recall 0.5897515132786796
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deviation 4/5   iterations 100/2000   F1 0.595259027709941   accuracy 0.7431818181818182   precision 0.6730568356374809   recall 0.5909775116124323
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deviation 4/5   iterations 110/2000   F1 0.5476542904247875   accuracy 0.6602272727272728   precision 0.6671274961597542   recall 0.5744047619047619
deviation 4/5   iterations 120/2000   F1 0.5013034115380256   accuracy 0.5852272727272727   precision 0.6492473118279569   recall 0.56295225062719
deviation 4/5   iterations 130/2000   F1 0.5809659090909092   accuracy 0.7318181818181818   precision 0.6542549923195085   recall 0.5802841043549449
deviation 4/5   iterations 140/2000   F1 0.5696538713561973   accuracy 0.7125   precision 0.651520737327189   recall 0.5751755926251098
deviation 4/5   iterations 150/2000   F1 0.5645415752184568   accuracy 0.7102272727272727   precision 0.6419969278033795   recall 0.5707489407557983
deviation 4/5   iterations 160/2000   F1 0.47981390983380934   accuracy 0.553409090909091   precision 0.635299539170507   recall 0.5568745350855443
deviation 4/5   iterations 170/2000   F1 0.5739630184907546   accuracy 0.7181818181818181   precision 0.6547465437788018   recall 0.5776016663482693
deviation 4/5   iterations 180/2000   F1 0.5897930006981013   accuracy 0.7625   precision 0.6387403993855607   recall 0.581868546235062
deviation 4/5   iterations 190/2000   F1 0.6003750146490097   accuracy 0.7886363636363637   precision 0.6329953917050691   recall 0.5892658303021305
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deviation 4/5   iterations 200/2000   F1 0.5736434108527132   accuracy 0.7318181818181818   precision 0.6377880184331797   recall 0.5731891200334206
deviation 4/5   iterations 210/2000   F1 0.5151710013580972   accuracy 0.6261363636363636   precision 0.6230721966205837   recall 0.5537850959163069
deviation 4/5   iterations 220/2000   F1 0.552818061504269   accuracy 0.6897727272727273   precision 0.6386175115207373   recall 0.5661599099099099
deviation 4/5   iterations 230/2000   F1 0.557806421743819   accuracy 0.696590909090909   precision 0.6424884792626728   recall 0.5687575606632036
deviation 4/5   iterations 240/2000   F1 0.5420318567808716   accuracy 0.6704545454545454   precision 0.6358832565284178   recall 0.5626703846655218
deviation 4/5   iterations 250/2000   F1 0.5362502753910553   accuracy 0.6602272727272728   precision 0.6341935483870967   recall 0.5609375
deviation 4/5   iterations 260/2000   F1 0.5160195481593911   accuracy 0.6215909090909091   precision 0.6328417818740399   recall 0.5575538802282989
deviation 4/5   iterations 270/2000   F1 0.49992995115470407   accuracy 0.5897727272727272   precision 0.6353609831029186   recall 0.5573232165532171
deviation 4/5   iterations 280/2000   F1 0.5339294620957747   accuracy 0.6488636363636363   precision 0.6442089093701997   recall 0.5640570754819973
deviation 4/5   iterations 290/2000   F1 0.5293250873128883   accuracy 0.6568181818181819   precision 0.6199078341013824   recall 0.554672747953449
deviation 4/5   iterations 300/2000   F1 0.5792227284910212   accuracy 0.7465909090909091   precision 0.6338248847926268   recall 0.575
deviation 4/5   iterations 310/2000   F1 0.5987391981867121   accuracy 0.7659090909090909   precision 0.6530261136712749   recall 0.5893863370444545
deviation 4/5   iterations 320/2000   F1 0.6007435402736299   accuracy 0.7659090909090909   precision 0.6571428571428571   recall 0.591183622244882
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deviation 4/5   iterations 330/2000   F1 0.5761034801303719   accuracy 0.7375   precision 0.6368970814132104   recall 0.5741006811409111
deviation 4/5   iterations 340/2000   F1 0.5453688410223921   accuracy 0.6886363636363636   precision 0.6215053763440861   recall 0.5587426256097053
deviation 4/5   iterations 350/2000   F1 0.5544861402640545   accuracy 0.696590909090909   precision 0.6342549923195084   recall 0.5652800019120916
deviation 4/5   iterations 360/2000   F1 0.5745736752487786   accuracy 0.7431818181818182   precision 0.6277726574500768   recall 0.5713922781672491
deviation 4/5   iterations 370/2000   F1 0.5125737142705521   accuracy 0.6204545454545455   precision 0.623963133640553   recall 0.5538404880470114
deviation 4/5   iterations 380/2000   F1 0.5112281822051936   accuracy 0.6204545454545455   precision 0.6198463901689708   recall 0.5521415319799614
deviation 4/5   iterations 390/2000   F1 0.5324421397147897   accuracy 0.6590909090909091   precision 0.6253149001536098   recall 0.5571381344868354
deviation 4/5   iterations 400/2000   F1 0.528499566585444   accuracy 0.6431818181818182   precision 0.6368663594470045   recall 0.5605960859417081
deviation 4/5   iterations 410/2000   F1 0.5036402855011143   accuracy 0.6056818181818182   precision 0.6196927803379416   recall 0.5513973319824383
deviation 4/5   iterations 420/2000   F1 0.5511489577941224   accuracy 0.6943181818181818   precision 0.628847926267281   recall 0.5626508759769593
deviation 4/5   iterations 430/2000   F1 0.583443679608634   accuracy 0.7420454545454546   precision 0.6477112135176651   recall 0.5799542358450405
deviation 4/5   iterations 440/2000   F1 0.6014196383302349   accuracy 0.7715909090909091   precision 0.6521351766513057   recall 0.5910294117647059
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deviation 4/5   iterations 450/2000   F1 0.5851154019353106   accuracy 0.7465909090909091   precision 0.6461751152073733   recall 0.5804782008605992
deviation 4/5   iterations 460/2000   F1 0.5654019183430948   accuracy 0.7090909090909091   precision 0.645468509984639   recall 0.5720222196533199
deviation 4/5   iterations 470/2000   F1 0.5782268804901378   accuracy 0.7329545454545454   precision 0.6466666666666667   recall 0.5773012254203477
deviation 4/5   iterations 480/2000   F1 0.5807787903893952   accuracy 0.7386363636363636   precision 0.6457757296466974   recall 0.5782615866732641
deviation 4/5   iterations 490/2000   F1 0.5862717442407146   accuracy 0.740909090909091   precision 0.6552995391705069   recall 0.5829281256767131
deviation 4/5   iterations 500/2000   F1 0.5734879867439933   accuracy 0.7340909090909091   precision 0.6349615975422427   recall 0.5724558799274286
deviation 4/5   iterations 510/2000   F1 0.5835919496082348   accuracy 0.7375   precision 0.6533640552995392   recall 0.58125
deviation 4/5   iterations 520/2000   F1 0.5696538713561973   accuracy 0.7125   precision 0.651520737327189   recall 0.5751755926251098
deviation 4/5   iterations 530/2000   F1 0.5167522851658604   accuracy 0.6284090909090909   precision 0.6243625192012289   recall 0.5544507575757576
deviation 4/5   iterations 540/2000   F1 0.5576168111871149   accuracy 0.7079545454545455   precision 0.6283563748079877   recall 0.5645087576274117
deviation 4/5   iterations 550/2000   F1 0.5724333803912409   accuracy 0.7352272727272727   precision 0.631490015360983   recall 0.5711739037888464
deviation 4/5   iterations 560/2000   F1 0.5808697937196163   accuracy 0.7363636363636363   precision 0.6486021505376345   recall 0.5789332828543268
deviation 4/5   iterations 570/2000   F1 0.5969722285511759   accuracy 0.7738636363636363   precision 0.6410752688172043   recall 0.586906492248062
deviation 4/5   iterations 580/2000   F1 0.5955800758175268   accuracy 0.7670454545454546   precision 0.6454377880184332   recall 0.5864146149128187
deviation 4/5   iterations 590/2000   F1 0.6069864755968505   accuracy 0.7909090909090909   precision 0.6425192012288786   recall 0.5948197627359764
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deviation 4/5   iterations 600/2000   F1 0.6062100456621005   accuracy 0.7772727272727272   precision 0.6553609831029186   recall 0.594647201946472
deviation 4/5   iterations 610/2000   F1 0.59114975980925   accuracy 0.759090909090909   precision 0.6450384024577573   recall 0.5836113885760029
deviation 4/5   iterations 620/2000   F1 0.5891147113495608   accuracy 0.759090909090909   precision 0.6409216589861751   recall 0.5817711193034748
deviation 4/5   iterations 630/2000   F1 0.5946477764659582   accuracy 0.7659090909090909   precision 0.6447926267281106   recall 0.5857339319367537
deviation 4/5   iterations 640/2000   F1 0.6001665179898901   accuracy 0.7829545454545455   precision 0.6380030721966206   recall 0.5891269841269842
deviation 4/5   iterations 650/2000   F1 0.6017415337404011   accuracy 0.7875   precision 0.6364669738863287   recall 0.590399205496402
deviation 4/5   iterations 660/2000   F1 0.6202265167782409   accuracy 0.8136363636363636   precision 0.6430721966205837   recall 0.6080500412989207
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deviation 4/5   iterations 670/2000   F1 0.6292029356545485   accuracy 0.8204545454545454   precision 0.6510599078341014   recall 0.6166370942490346
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deviation 4/5   iterations 680/2000   F1 0.6085399940529289   accuracy 0.7875   precision 0.6488172043010753   recall 0.5961111111111111
deviation 4/5   iterations 690/2000   F1 0.6126605578008083   accuracy 0.8   precision 0.643563748079877   recall 0.5999606403641622
deviation 4/5   iterations 700/2000   F1 0.6007722007722007   accuracy 0.7863636363636364   precision 0.6358218125960061   recall 0.5895845997973658
deviation 4/5   iterations 710/2000   F1 0.5999095783455377   accuracy 0.7965909090909091   precision 0.6251612903225807   recall 0.5892825835407973
deviation 4/5   iterations 720/2000   F1 0.5938561512332003   accuracy 0.7727272727272727   precision 0.6363133640552995   recall 0.5842901541805029
deviation 4/5   iterations 730/2000   F1 0.5988662000347081   accuracy 0.7761363636363636   precision 0.6423655913978494   recall 0.588367658276125
deviation 4/5   iterations 740/2000   F1 0.5899240924326613   accuracy 0.7761363636363636   precision 0.6258986175115208   recall 0.5806464309329639
deviation 4/5   iterations 750/2000   F1 0.6355966828255611   accuracy 0.8295454545454546   precision 0.6521044546850998   recall 0.6245835472214674
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deviation 4/5   iterations 760/2000   F1 0.6181510441361989   accuracy 0.8284090909090909   precision 0.6267588325652842   recall 0.6115424542584023
deviation 4/5   iterations 770/2000   F1 0.5983288762874419   accuracy 0.8068181818181818   precision 0.6145007680491551   recall 0.589420243956276
deviation 4/5   iterations 780/2000   F1 0.614602707729573   accuracy 0.8159090909090909   precision 0.6320122887864823   recall 0.6042971290983408
deviation 4/5   iterations 790/2000   F1 0.6088501464272017   accuracy 0.8011363636363636   precision 0.6359754224270353   recall 0.5969967390160945
deviation 4/5   iterations 800/2000   F1 0.6008927934446947   accuracy 0.7977272727272727   precision 0.6258064516129032   recall 0.590189497053149
deviation 4/5   iterations 810/2000   F1 0.6113031283472654   accuracy 0.8181818181818182   precision 0.6250691244239631   recall 0.6024398345260742
deviation 4/5   iterations 820/2000   F1 0.6003750146490097   accuracy 0.7886363636363637   precision 0.6329953917050691   recall 0.5892658303021305
deviation 4/5   iterations 830/2000   F1 0.6099663299663299   accuracy 0.7943181818181818   precision 0.6444546850998464   recall 0.5973902236951119
deviation 4/5   iterations 840/2000   F1 0.5950910976355133   accuracy 0.7715909090909091   precision 0.6397849462365591   recall 0.5854723332632021
deviation 4/5   iterations 850/2000   F1 0.6078952511237052   accuracy 0.8056818181818182   precision 0.6303225806451613   recall 0.5968493150684931
deviation 4/5   iterations 860/2000   F1 0.5979998231670777   accuracy 0.7886363636363637   precision 0.6288786482334869   recall 0.5872801870854452
deviation 4/5   iterations 870/2000   F1 0.592187728458883   accuracy 0.7875   precision 0.62   recall 0.582388377037562
deviation 4/5   iterations 880/2000   F1 0.5964084428092419   accuracy 0.7954545454545454   precision 0.6203993855606759   recall 0.586313220745126
deviation 4/5   iterations 890/2000   F1 0.6177907145088657   accuracy 0.8056818181818182   precision 0.64678955453149   recall 0.6047108944913917
deviation 4/5   iterations 900/2000   F1 0.5994069977190347   accuracy 0.7875   precision 0.6323502304147466   recall 0.5884410721324399
deviation 4/5   iterations 910/2000   F1 0.6007722007722007   accuracy 0.7863636363636364   precision 0.6358218125960061   recall 0.5895845997973658
deviation 4/5   iterations 920/2000   F1 0.5944741532976827   accuracy 0.7931818181818182   precision 0.6191090629800308   recall 0.5845480159457078
deviation 4/5   iterations 930/2000   F1 0.5977393617021276   accuracy 0.8   precision 0.6188632872503841   recall 0.5878687124701352
deviation 4/5   iterations 940/2000   F1 0.5934090015022745   accuracy 0.8011363636363636   precision 0.6112749615975422   recall 0.584496659325893
deviation 4/5   iterations 950/2000   F1 0.6057347670250895   accuracy 0.8090909090909091   precision 0.6240245775729647   recall 0.5957624465087151
deviation 4/5   iterations 960/2000   F1 0.6073846153846154   accuracy 0.8022727272727272   precision 0.6325038402457757   recall 0.5959510567296996
deviation 4/5   iterations 970/2000   F1 0.5927272727272728   accuracy 0.7852272727272728   precision 0.6228264208909371   recall 0.5828086164043083
deviation 4/5   iterations 980/2000   F1 0.5794061218064154   accuracy 0.7602272727272728   precision 0.6209831029185868   recall 0.5729064841968068
deviation 4/5   iterations 990/2000   F1 0.594087299616086   accuracy 0.7784090909090909   precision 0.631305683563748   recall 0.58411001605844
deviation 4/5   iterations 1000/2000   F1 0.6020454308275646   accuracy 0.8079545454545455   precision 0.61926267281106   recall 0.5926084965075002
deviation 4/5   iterations 1010/2000   F1 0.5836559139784947   accuracy 0.825   precision 0.5836559139784946   recall 0.5836559139784946
deviation 4/5   iterations 1020/2000   F1 0.6088501464272017   accuracy 0.8011363636363636   precision 0.6359754224270353   recall 0.5969967390160945
deviation 4/5   iterations 1030/2000   F1 0.6067549523562326   accuracy 0.8102272727272727   precision 0.6246697388632872   recall 0.5968071300431315
deviation 4/5   iterations 1040/2000   F1 0.6053771440801476   accuracy 0.8   precision 0.6312135176651306   recall 0.5940657733611721
deviation 4/5   iterations 1050/2000   F1 0.6017886905514755   accuracy 0.8170454545454545   precision 0.6120737327188941   recall 0.5947473404255319
deviation 4/5   iterations 1060/2000   F1 0.6010044642857143   accuracy 0.8227272727272728   precision 0.6070660522273426   recall 0.5962079969964332
deviation 4/5   iterations 1070/2000   F1 0.6088324145878103   accuracy 0.821590909090909   precision 0.6187711213517665   recall 0.6017325586291103
deviation 4/5   iterations 1080/2000   F1 0.6013357530972707   accuracy 0.8102272727272727   precision 0.6164362519201229   recall 0.5925329114418532
deviation 4/5   iterations 1090/2000   F1 0.6050669562070213   accuracy 0.8238636363636364   precision 0.6118279569892473   recall 0.599780701754386
deviation 4/5   iterations 1100/2000   F1 0.6017886905514755   accuracy 0.8170454545454545   precision 0.6120737327188941   recall 0.5947473404255319
deviation 4/5   iterations 1110/2000   F1 0.6048877522023303   accuracy 0.8204545454545454   precision 0.6140092165898617   recall 0.5983046357615894
deviation 4/5   iterations 1120/2000   F1 0.6083708609271523   accuracy 0.8090909090909091   precision 0.6281413210445469   recall 0.5978418953788411
deviation 4/5   iterations 1130/2000   F1 0.6050669562070213   accuracy 0.8238636363636364   precision 0.6118279569892473   recall 0.599780701754386
deviation 4/5   iterations 1140/2000   F1 0.5948751357220412   accuracy 0.8193181818181818   precision 0.6010138248847926   recall 0.5901315789473685
deviation 4/5   iterations 1150/2000   F1 0.6030881336473014   accuracy 0.825   precision 0.6083563748079878   recall 0.5987722776713602
deviation 4/5   iterations 1160/2000   F1 0.6078952511237052   accuracy 0.8056818181818182   precision 0.6303225806451613   recall 0.5968493150684931
deviation 4/5   iterations 1170/2000   F1 0.6109515429308127   accuracy 0.8238636363636364   precision 0.6200614439324117   recall 0.6042200034135518
deviation 4/5   iterations 1180/2000   F1 0.6019421922953598   accuracy 0.8204545454545454   precision 0.6098924731182795   recall 0.5960412840588115
deviation 4/5   iterations 1190/2000   F1 0.6098447164669752   accuracy 0.8136363636363636   precision 0.626605222734255   recall 0.6000252429635239
deviation 4/5   iterations 1200/2000   F1 0.6116598759536217   accuracy 0.8340909090909091   precision 0.6135176651305684   recall 0.6099192041790121
deviation 4/5   iterations 1210/2000   F1 0.5979206358785141   accuracy 0.8193181818181818   precision 0.6051305683563748   recall 0.5925104892080106
deviation 4/5   iterations 1220/2000   F1 0.5955707426791816   accuracy 0.8068181818181818   precision 0.610384024577573   recall 0.5872095845590735
deviation 4/5   iterations 1230/2000   F1 0.6028163928506951   accuracy 0.8181818181818182   precision 0.6127188940092165   recall 0.5959155503968379
deviation 4/5   iterations 1240/2000   F1 0.5999698953864679   accuracy 0.8284090909090909   precision 0.6020583717357911   recall 0.5980519480519481
deviation 4/5   iterations 1250/2000   F1 0.6088324145878103   accuracy 0.821590909090909   precision 0.6187711213517665   recall 0.6017325586291103
deviation 4/5   iterations 1260/2000   F1 0.6071385794705952   accuracy 0.8136363636363636   precision 0.6224884792626728   recall 0.5979212307571395
deviation 4/5   iterations 1270/2000   F1 0.6141731374969713   accuracy 0.8272727272727273   precision 0.6219969278033795   recall 0.6080967780572524
deviation 4/5   iterations 1280/2000   F1 0.600911582748382   accuracy 0.8193181818181818   precision 0.609247311827957   recall 0.5948327359617682
deviation 4/5   iterations 1290/2000   F1 0.5860463964744621   accuracy 0.8056818181818182   precision 0.5973886328725039   recall 0.5792785402744989
deviation 4/5   iterations 1300/2000   F1 0.6002685942252242   accuracy 0.8431818181818181   precision 0.5939784946236559   recall 0.6086308044148354
deviation 4/5   iterations 1310/2000   F1 0.586948517528549   accuracy 0.8102272727272727   precision 0.595852534562212   recall 0.5810339095744681
deviation 4/5   iterations 1320/2000   F1 0.5968419662105   accuracy 0.8147727272727273   precision 0.6066666666666667   recall 0.5901761968085106
deviation 4/5   iterations 1330/2000   F1 0.6030746163728611   accuracy 0.8352272727272727   precision 0.6018125960061445   recall 0.6044029436967588
deviation 4/5   iterations 1340/2000   F1 0.5910983346550357   accuracy 0.8295454545454546   precision 0.5903533026113672   recall 0.5918706501230773
deviation 4/5   iterations 1350/2000   F1 0.6185522323363676   accuracy 0.8318181818181818   precision 0.6245775729646698   recall 0.6135587144761456
deviation 4/5   iterations 1360/2000   F1 0.6047193406318856   accuracy 0.8079545454545455   precision 0.623379416282642   recall 0.5947312801932367
deviation 4/5   iterations 1370/2000   F1 0.5873739289372848   accuracy 0.821590909090909   precision 0.5899539170506912   recall 0.5851004464285714
deviation 4/5   iterations 1380/2000   F1 0.5938461538461538   accuracy 0.8363636363636363   precision 0.5901075268817204   recall 0.5983238350653705
deviation 4/5   iterations 1390/2000   F1 0.5984158744443274   accuracy 0.8375   precision 0.5948694316436252   recall 0.6025722789115646
deviation 4/5   iterations 1400/2000   F1 0.5967269956602878   accuracy 0.8113636363636364   precision 0.6088479262672811   recall 0.5891536069088383
deviation 4/5   iterations 1410/2000   F1 0.5871827520511618   accuracy 0.8329545454545455   precision 0.5840552995391706   recall 0.5908801020408163
deviation 4/5   iterations 1420/2000   F1 0.5934389714813715   accuracy 0.8284090909090909   precision 0.5938248847926267   recall 0.5930598215591634
deviation 4/5   iterations 1430/2000   F1 0.5856584821428572   accuracy 0.8159090909090909   precision 0.5908448540706606   recall 0.5816318643094557
deviation 4/5   iterations 1440/2000   F1 0.5910983346550357   accuracy 0.8295454545454546   precision 0.5903533026113672   recall 0.5918706501230773
deviation 4/5   iterations 1450/2000   F1 0.5844155844155844   accuracy 0.8181818181818182   precision 0.5880184331797236   recall 0.5814151747655584
deviation 4/5   iterations 1460/2000   F1 0.5821175458664222   accuracy 0.8193181818181818   precision 0.5845468509984639   recall 0.5799851190476191
deviation 4/5   iterations 1470/2000   F1 0.5905093536614696   accuracy 0.7977272727272727   precision 0.6093394777265745   recall 0.5816891451445569
deviation 4/5   iterations 1480/2000   F1 0.5938431424885449   accuracy 0.8113636363636364   precision 0.6047311827956989   recall 0.5868588142969251
deviation 4/5   iterations 1490/2000   F1 0.581879249610879   accuracy 0.8352272727272727   precision 0.5771121351766513   recall 0.5882559774964838
deviation 4/5   iterations 1500/2000   F1 0.5903809650469708   accuracy 0.825   precision 0.591889400921659   recall 0.5889765466033627
deviation 4/5   iterations 1510/2000   F1 0.5978515977613288   accuracy 0.8159090909090909   precision 0.6073118279569892   recall 0.5913145318986521
deviation 4/5   iterations 1520/2000   F1 0.5839050890947026   accuracy 0.8375   precision 0.5784024577572965   recall 0.5915404040404041
deviation 4/5   iterations 1530/2000   F1 0.5928630338140929   accuracy 0.8170454545454545   precision 0.5997235023041474   recall 0.5877524979454128
deviation 4/5   iterations 1540/2000   F1 0.6027423508741162   accuracy 0.8420454545454545   precision 0.5974500768049156   recall 0.6093853453983669
deviation 4/5   iterations 1550/2000   F1 0.5978515977613288   accuracy 0.8159090909090909   precision 0.6073118279569892   recall 0.5913145318986521
deviation 4/5   iterations 1560/2000   F1 0.5828889678871904   accuracy 0.8363636363636363   precision 0.5777572964669738   recall 0.589880538075825
deviation 4/5   iterations 1570/2000   F1 0.5810928595373785   accuracy 0.8386363636363636   precision 0.5749308755760368   recall 0.5902330743618203
deviation 4/5   iterations 1580/2000   F1 0.5924138267271221   accuracy 0.8272727272727273   precision 0.5931797235023042   recall 0.5916746261077729
deviation 4/5   iterations 1590/2000   F1 0.5866386968965809   accuracy 0.8170454545454545   precision 0.5914900153609831   recall 0.5827995017571956
deviation 4/5   iterations 1600/2000   F1 0.5979206358785141   accuracy 0.8193181818181818   precision 0.6051305683563748   recall 0.5925104892080106
deviation 4/5   iterations 1610/2000   F1 0.5833333333333334   accuracy 0.85   precision 0.5731490015360983   recall 0.6036316788244921
deviation 4/5   iterations 1620/2000   F1 0.5830934561504509   accuracy 0.8204545454545454   precision 0.5851920122887865   recall 0.5812158061832964
deviation 4/5   iterations 1630/2000   F1 0.5998863313441318   accuracy 0.8181818181818182   precision 0.6086021505376344   recall 0.5936423841059603
deviation 4/5   iterations 1640/2000   F1 0.5780855798512718   accuracy 0.8352272727272727   precision 0.5729953917050691   recall 0.5852272727272727
deviation 4/5   iterations 1650/2000   F1 0.6116598759536217   accuracy 0.8340909090909091   precision 0.6135176651305684   recall 0.6099192041790121
deviation 4/5   iterations 1660/2000   F1 0.6141282934455191   accuracy 0.8431818181818181   precision 0.6104454685099847   recall 0.6183328725099076
deviation 4/5   iterations 1670/2000   F1 0.609651260136697   accuracy 0.8386363636363636   precision 0.6078648233486943   recall 0.6115608993505256
deviation 4/5   iterations 1680/2000   F1 0.6059315628395974   accuracy 0.821590909090909   precision 0.6146543778801843   recall 0.59952636968766
deviation 4/5   iterations 1690/2000   F1 0.6107599403968317   accuracy 0.8397727272727272   precision 0.608509984639017   recall 0.6132051282051282
deviation 4/5   iterations 1700/2000   F1 0.5944753854458795   accuracy 0.8409090909090909   precision 0.5885714285714285   recall 0.6023807156351653
deviation 4/5   iterations 1710/2000   F1 0.5948051948051949   accuracy 0.8227272727272728   precision 0.5988325652841782   recall 0.5914180164819551
deviation 4/5   iterations 1720/2000   F1 0.593648052197275   accuracy 0.825   precision 0.5960061443932412   recall 0.5915252053093405
deviation 4/5   iterations 1730/2000   F1 0.5944753854458795   accuracy 0.8409090909090909   precision 0.5885714285714285   recall 0.6023807156351653
deviation 4/5   iterations 1740/2000   F1 0.5859569739621394   accuracy 0.8397727272727272   precision 0.5796927803379416   recall 0.5949710034561537
deviation 4/5   iterations 1750/2000   F1 0.5918647794420777   accuracy 0.8159090909090909   precision 0.599078341013825   recall 0.5865901987949866
deviation 4/5   iterations 1760/2000   F1 0.5987365986031408   accuracy 0.8136363636363636   precision 0.6101382488479263   recall 0.591343164932378
deviation 4/5   iterations 1770/2000   F1 0.5707070707070707   accuracy 0.8454545454545455   precision 0.5623348694316437   recall 0.5883110778390989
deviation 4/5   iterations 1780/2000   F1 0.60093657742034   accuracy 0.8329545454545455   precision 0.6005222734254992   recall 0.6013580491673275
deviation 4/5   iterations 1790/2000   F1 0.5916181772748367   accuracy 0.8227272727272728   precision 0.594715821812596   recall 0.5889282458953975
deviation 4/5   iterations 1800/2000   F1 0.5948995457749993   accuracy 0.8375   precision 0.590752688172043   recall 0.5999539819176005
deviation 4/5   iterations 1810/2000   F1 0.5998771121351767   accuracy 0.8318181818181818   precision 0.5998771121351767   recall 0.5998771121351767
deviation 4/5   iterations 1820/2000   F1 0.6017886905514755   accuracy 0.8170454545454545   precision 0.6120737327188941   recall 0.5947473404255319
deviation 4/5   iterations 1830/2000   F1 0.5955441075815641   accuracy 0.8420454545454545   precision 0.5892165898617512   recall 0.6041666666666666
deviation 4/5   iterations 1840/2000   F1 0.5781650740555425   accuracy 0.8443181818181819   precision 0.5699231950844854   recall 0.5931199266823777
deviation 4/5   iterations 1850/2000   F1 0.5924138267271221   accuracy 0.8272727272727273   precision 0.5931797235023042   recall 0.5916746261077729
deviation 4/5   iterations 1860/2000   F1 0.5851949010124196   accuracy 0.8431818181818181   precision 0.5775115207373271   recall 0.5974597876975849
deviation 4/5   iterations 1870/2000   F1 0.5870508507630052   accuracy 0.825   precision 0.5877726574500768   recall 0.5863548983811101
deviation 4/5   iterations 1880/2000   F1 0.5965503568596352   accuracy 0.8318181818181818   precision 0.5957603686635944   recall 0.5973685196986167
deviation 4/5   iterations 1890/2000   F1 0.5984158744443274   accuracy 0.8375   precision 0.5948694316436252   recall 0.6025722789115646
deviation 4/5   iterations 1900/2000   F1 0.5977496483825598   accuracy 0.8522727272727273   precision 0.58678955453149   recall 0.6169772256728778
deviation 4/5   iterations 1910/2000   F1 0.5812440517620989   accuracy 0.8477272727272728   precision 0.5718586789554532   recall 0.599259900527915
deviation 4/5   iterations 1920/2000   F1 0.6107151634308183   accuracy 0.8465909090909091   precision 0.6041474654377881   recall 0.619198312236287
deviation 4/5   iterations 1930/2000   F1 0.5835680645379363   accuracy 0.8329545454545455   precision 0.5799385560675883   recall 0.5880434194142169
deviation 4/5   iterations 1940/2000   F1 0.6021091208256983   accuracy 0.8488636363636364   precision 0.5930875576036867   recall 0.6157619658903356
deviation 4/5   iterations 1950/2000   F1 0.6024659863945578   accuracy 0.8454545454545455   precision 0.595268817204301   recall 0.6123697293849922
deviation 4/5   iterations 1960/2000   F1 0.6038493880220499   accuracy 0.8193181818181818   precision 0.6133640552995392   recall 0.5971011746873816
deviation 4/5   iterations 1970/2000   F1 0.5862376662376663   accuracy 0.8443181818181819   precision 0.5781566820276498   recall 0.599375
deviation 4/5   iterations 1980/2000   F1 0.5885663707970634   accuracy 0.8511363636363637   precision 0.577910906298003   recall 0.6089796479647964
deviation 4/5   iterations 1990/2000   F1 0.5927993132477446   accuracy 0.8352272727272727   precision 0.5894623655913979   recall 0.5967261904761905
deviation 4/5   iterations 2000/2000   F1 0.5849277210884354   accuracy 0.8386363636363636   precision 0.579047619047619   recall 0.5932367990027685

deviation 5/5   iterations 10/2000   F1 0.23579521958481514   accuracy 0.23636363636363636   precision 0.5129339477726574   recall 0.5108640675481787
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deviation 5/5   iterations 20/2000   F1 0.21699591012344532   accuracy 0.21704545454545454   precision 0.5307834101382488   recall 0.5326869878386138
deviation 5/5   iterations 30/2000   F1 0.48680276317146093   accuracy 0.5886363636363636   precision 0.5935483870967742   recall 0.5399919096826389
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deviation 5/5   iterations 40/2000   F1 0.4882995518638354   accuracy 0.5852272727272727   precision 0.603963133640553   recall 0.5442246570759451
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deviation 5/5   iterations 50/2000   F1 0.5028539146358093   accuracy 0.6045454545454545   precision 0.6190476190476191   recall 0.5510860566046691
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deviation 5/5   iterations 60/2000   F1 0.4983500022168876   accuracy 0.5909090909090909   precision 0.6277726574500768   recall 0.5542239675412384
deviation 5/5   iterations 70/2000   F1 0.5491730345076765   accuracy 0.6761363636363636   precision 0.6473425499231951   recall 0.5680569430569431
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deviation 5/5   iterations 80/2000   F1 0.5010985317836105   accuracy 0.5897727272727272   precision 0.6394777265745009   recall 0.5590211332057575
deviation 5/5   iterations 90/2000   F1 0.5460093365042216   accuracy 0.6738636363636363   precision 0.6419354838709677   recall 0.5655594405594405
deviation 5/5   iterations 100/2000   F1 0.5721925133689839   accuracy 0.7136363636363636   precision 0.6562826420890937   recall 0.5773763529834083
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deviation 5/5   iterations 110/2000   F1 0.5645535499398315   accuracy 0.7079545454545455   precision 0.6448233486943165   recall 0.5715543412264724
deviation 5/5   iterations 120/2000   F1 0.5761034801303719   accuracy 0.7375   precision 0.6368970814132104   recall 0.5741006811409111
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deviation 5/5   iterations 130/2000   F1 0.5492688950632876   accuracy 0.6681818181818182   precision 0.6592933947772658   recall 0.5720495133704999
deviation 5/5   iterations 140/2000   F1 0.5029184710977217   accuracy 0.5875   precision 0.6505376344086021   recall 0.5635320720272177
deviation 5/5   iterations 150/2000   F1 0.4671046412704415   accuracy 0.5340909090909091   precision 0.6284485407066052   recall 0.5541381149939659
deviation 5/5   iterations 160/2000   F1 0.529368532262404   accuracy 0.6295454545454545   precision 0.6620583717357911   recall 0.5699383216924145
deviation 5/5   iterations 170/2000   F1 0.5113411764705882   accuracy 0.5977272727272728   precision 0.6604608294930876   recall 0.5678752436647173
deviation 5/5   iterations 180/2000   F1 0.5385781169657113   accuracy 0.6477272727272727   precision 0.6600307219662058   recall 0.570410541170364
deviation 5/5   iterations 190/2000   F1 0.5463789402327421   accuracy 0.6681818181818182   precision 0.6510599078341014   recall 0.568688917573299
deviation 5/5   iterations 200/2000   F1 0.5323431277580454   accuracy 0.6409090909090909   precision 0.6520430107526882   recall 0.5666338142708653
deviation 5/5   iterations 210/2000   F1 0.5588525388239084   accuracy 0.6852272727272727   precision 0.6607373271889401   recall 0.5746984649122807
deviation 5/5   iterations 220/2000   F1 0.5007302471715835   accuracy 0.5943181818181819   precision 0.6297081413210446   recall 0.5551220989743268
deviation 5/5   iterations 230/2000   F1 0.5170182265001024   accuracy 0.6193181818181818   precision 0.6397849462365591   recall 0.5602808691043986
deviation 5/5   iterations 240/2000   F1 0.49082804731698954   accuracy 0.5704545454545454   precision 0.6408602150537634   recall 0.5592588571635364
deviation 5/5   iterations 250/2000   F1 0.5498511904761905   accuracy 0.675   precision 0.6508141321044547   recall 0.5693522228312773
deviation 5/5   iterations 260/2000   F1 0.5609588723512775   accuracy 0.6943181818181818   precision 0.6535483870967742   recall 0.5730274693161894
deviation 5/5   iterations 270/2000   F1 0.5544753296878824   accuracy 0.6920454545454545   precision 0.6399078341013824   recall 0.5670163170163169
deviation 5/5   iterations 280/2000   F1 0.5748361198427705   accuracy 0.7238636363636364   precision 0.6497388632872504   recall 0.5766332922442202
deviation 5/5   iterations 290/2000   F1 0.5232344858647903   accuracy 0.6227272727272727   precision 0.6540706605222735   recall 0.5662970424776983
deviation 5/5   iterations 300/2000   F1 0.5788913023577094   accuracy 0.7386363636363636   precision 0.6416589861751152   recall 0.5764671544467367
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deviation 5/5   iterations 310/2000   F1 0.5870292156206662   accuracy 0.7465909090909091   precision 0.6502918586789554   recall 0.5822704768055107
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deviation 5/5   iterations 320/2000   F1 0.5870292156206662   accuracy 0.7465909090909091   precision 0.6502918586789554   recall 0.5822704768055107
deviation 5/5   iterations 330/2000   F1 0.5976260684558248   accuracy 0.7772727272727272   precision 0.6388940092165899   recall 0.5872167048637638
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deviation 5/5   iterations 340/2000   F1 0.5636506782945736   accuracy 0.7022727272727273   precision 0.649831029185868   recall 0.5727133391778338
deviation 5/5   iterations 350/2000   F1 0.5880149812734082   accuracy 0.7340909090909091   precision 0.6678955453149003   recall 0.5865377915998962
deviation 5/5   iterations 360/2000   F1 0.5979197423437218   accuracy 0.7443181818181818   precision 0.6778187403993856   recall 0.5932441488813279
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deviation 5/5   iterations 370/2000   F1 0.609344964623969   accuracy 0.7625   precision 0.6799078341013824   recall 0.5996297909407665
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deviation 5/5   iterations 380/2000   F1 0.5925258664790247   accuracy 0.7397727272727272   precision 0.6711213517665131   recall 0.5892834243799852
deviation 5/5   iterations 390/2000   F1 0.5988639152845472   accuracy 0.7636363636363637   precision 0.6558525345622119   recall 0.5898454933798057
deviation 5/5   iterations 400/2000   F1 0.6216793168880455   accuracy 0.8022727272727272   precision 0.6572043010752688   recall 0.6074358995893206
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deviation 5/5   iterations 410/2000   F1 0.6021917808219178   accuracy 0.775   precision 0.6499539170506913   recall 0.5913531723750702
deviation 5/5   iterations 420/2000   F1 0.6173308032890575   accuracy 0.8   precision 0.6517972350230414   recall 0.603740625341183
deviation 5/5   iterations 430/2000   F1 0.6160357435816883   accuracy 0.8011363636363636   precision 0.6483256528417819   recall 0.6027898896307399
deviation 5/5   iterations 440/2000   F1 0.6167205653371661   accuracy 0.8181818181818182   precision 0.6333026113671275   recall 0.6065663958503208
deviation 5/5   iterations 450/2000   F1 0.5871713870952804   accuracy 0.7352272727272727   precision 0.6644239631336406   recall 0.5853664761126991
deviation 5/5   iterations 460/2000   F1 0.5734879867439933   accuracy 0.7340909090909091   precision 0.6349615975422427   recall 0.5724558799274286
deviation 5/5   iterations 470/2000   F1 0.6167459498218234   accuracy 0.7943181818181818   precision 0.656804915514593   recall 0.6029829545454546
deviation 5/5   iterations 480/2000   F1 0.5998022738507167   accuracy 0.7647727272727273   precision 0.6564976958525346   recall 0.5905117270788913
deviation 5/5   iterations 490/2000   F1 0.5783385099810903   accuracy 0.7454545454545455   precision 0.6331797235023041   recall 0.5744134469475896
deviation 5/5   iterations 500/2000   F1 0.6012378204704901   accuracy 0.7738636363636363   precision 0.6493087557603686   recall 0.5906283566058002
deviation 5/5   iterations 510/2000   F1 0.5830042647291107   accuracy 0.7647727272727273   precision 0.6235637480798771   recall 0.5755537855790328
deviation 5/5   iterations 520/2000   F1 0.6114527925531915   accuracy 0.8068181818181818   precision 0.6350844854070661   recall 0.5998601004732964
deviation 5/5   iterations 530/2000   F1 0.611897435897436   accuracy 0.8045454545454546   precision 0.6379109062980031   recall 0.5998665183537264
deviation 5/5   iterations 540/2000   F1 0.582642549014756   accuracy 0.7386363636363636   precision 0.6498924731182796   recall 0.5800408160586912
deviation 5/5   iterations 550/2000   F1 0.5957740009186954   accuracy 0.7647727272727273   precision 0.6482642089093702   recall 0.5868960848146121
deviation 5/5   iterations 560/2000   F1 0.6243728258174671   accuracy 0.8102272727272727   precision 0.6534869431643625   recall 0.6105857770222411
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deviation 5/5   iterations 570/2000   F1 0.6053284476506737   accuracy 0.7863636363636364   precision 0.6440552995391705   recall 0.5934220068696754
deviation 5/5   iterations 580/2000   F1 0.6204334415716529   accuracy 0.8193181818181818   precision 0.6380645161290323   recall 0.609721082854799
deviation 5/5   iterations 590/2000   F1 0.6114527925531915   accuracy 0.8068181818181818   precision 0.6350844854070661   recall 0.5998601004732964
deviation 5/5   iterations 600/2000   F1 0.6135144461523983   accuracy 0.8090909090909091   precision 0.6363748079877112   recall 0.6018876412747087
deviation 5/5   iterations 610/2000   F1 0.6195417207090359   accuracy 0.8102272727272727   precision 0.6452534562211981   recall 0.6068175245806824
deviation 5/5   iterations 620/2000   F1 0.6102604314144032   accuracy 0.7920454545454545   precision 0.6472811059907834   recall 0.5975627625280844
deviation 5/5   iterations 630/2000   F1 0.6134169669469283   accuracy 0.8204545454545454   precision 0.6263594470046083   recall 0.6047962168387366
deviation 5/5   iterations 640/2000   F1 0.6048475908797861   accuracy 0.7965909090909091   precision 0.633394777265745   recall 0.5933233605007049
deviation 5/5   iterations 650/2000   F1 0.626985380287075   accuracy 0.8261363636363637   precision 0.6419354838709678   recall 0.6169786096256684
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deviation 5/5   iterations 660/2000   F1 0.6166288635744018   accuracy 0.8238636363636364   precision 0.6282949308755761   recall 0.6084607712765957
deviation 5/5   iterations 670/2000   F1 0.6020454308275646   accuracy 0.8079545454545455   precision 0.61926267281106   recall 0.5926084965075002
deviation 5/5   iterations 680/2000   F1 0.6344620226177999   accuracy 0.8284090909090909   precision 0.6514592933947773   recall 0.6232943859789524
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deviation 5/5   iterations 690/2000   F1 0.6212121212121212   accuracy 0.8068181818181818   precision 0.6515514592933948   recall 0.607576828130043
deviation 5/5   iterations 700/2000   F1 0.609262701596213   accuracy 0.7988636363636363   precision 0.6388018433179723   recall 0.597106159083875
deviation 5/5   iterations 710/2000   F1 0.6294892846616984   accuracy 0.8181818181818182   precision 0.6538863287250384   recall 0.6162170188675743
deviation 5/5   iterations 720/2000   F1 0.6329907914053116   accuracy 0.8295454545454546   precision 0.6479877112135177   recall 0.6227336193805482
deviation 5/5   iterations 730/2000   F1 0.6172333640854298   accuracy 0.821590909090909   precision 0.6311213517665131   recall 0.6080659536541889
deviation 5/5   iterations 740/2000   F1 0.6177964992443984   accuracy 0.8340909090909091   precision 0.6217511520737327   recall 0.614311592112702
deviation 5/5   iterations 750/2000   F1 0.6254102676121025   accuracy 0.8272727272727273   precision 0.6384639016897081   recall 0.616304875153542
deviation 5/5   iterations 760/2000   F1 0.6216533124877859   accuracy 0.8125   precision 0.6465437788018433   recall 0.6089041095890411
deviation 5/5   iterations 770/2000   F1 0.618798467719331   accuracy 0.8261363636363637   precision 0.6295852534562212   recall 0.6109953265125678
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 0.6106388267462093   accuracy 0.7977272727272727   precision 0.6422734254992319   recall 0.5981351981351981
deviation 5/5   iterations 800/2000   F1 0.6046720575022462   accuracy 0.7909090909090909   precision 0.6384024577572964   recall 0.5928950255280891
deviation 5/5   iterations 810/2000   F1 0.6375699584762592   accuracy 0.8340909090909091   precision 0.6505683563748079   recall 0.628122679884138
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deviation 5/5   iterations 820/2000   F1 0.6183104230615241   accuracy 0.8227272727272728   precision 0.6317665130568356   recall 0.6092805674741895
deviation 5/5   iterations 830/2000   F1 0.6057347670250895   accuracy 0.8090909090909091   precision 0.6240245775729647   recall 0.5957624465087151
deviation 5/5   iterations 840/2000   F1 0.6176953642384105   accuracy 0.8136363636363636   precision 0.6389554531490016   recall 0.6060989913206661
deviation 5/5   iterations 850/2000   F1 0.6064444174516062   accuracy 0.8159090909090909   precision 0.6196620583717358   recall 0.5980110919869956
deviation 5/5   iterations 860/2000   F1 0.6082428332103234   accuracy 0.8272727272727273   precision 0.6137634408602151   recall 0.603701089939622
deviation 5/5   iterations 870/2000   F1 0.6037086092715233   accuracy 0.8068181818181818   precision 0.6227342549923195   recall 0.5937133474079287
deviation 5/5   iterations 880/2000   F1 0.606340148226959   accuracy 0.8318181818181818   precision 0.6081105990783411   recall 0.6046835397850998
deviation 5/5   iterations 890/2000   F1 0.614757244290923   accuracy 0.8340909090909091   precision 0.6176344086021506   recall 0.6121440035614287
deviation 5/5   iterations 900/2000   F1 0.6248934356351237   accuracy 0.8295454545454546   precision 0.6356374807987711   recall 0.616953642384106
deviation 5/5   iterations 910/2000   F1 0.6117954460619635   accuracy 0.8375   precision 0.6113364055299539   recall 0.6122620935765266
deviation 5/5   iterations 920/2000   F1 0.6080358400073564   accuracy 0.8238636363636364   precision 0.6159447004608295   recall 0.6020264717332064
deviation 5/5   iterations 930/2000   F1 0.6294892846616984   accuracy 0.8181818181818182   precision 0.6538863287250384   recall 0.6162170188675743
deviation 5/5   iterations 940/2000   F1 0.6329907914053116   accuracy 0.8295454545454546   precision 0.6479877112135177   recall 0.6227336193805482
deviation 5/5   iterations 950/2000   F1 0.617710778118794   accuracy 0.825   precision 0.6289400921658986   recall 0.609718605891395
deviation 5/5   iterations 960/2000   F1 0.615265558034076   accuracy 0.8443181818181819   precision 0.6110906298003072   recall 0.6201105442176871
deviation 5/5   iterations 970/2000   F1 0.6377265745007681   accuracy 0.8477272727272728   precision 0.6377265745007681   recall 0.6377265745007681
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deviation 5/5   iterations 980/2000   F1 0.6304611630421484   accuracy 0.8556818181818182   precision 0.6216589861751152   recall 0.6420454545454546
deviation 5/5   iterations 990/2000   F1 0.6345597301047197   accuracy 0.8534090909090909   precision 0.6286021505376344   recall 0.6416409506794435
deviation 5/5   iterations 1000/2000   F1 0.6280837490243986   accuracy 0.8443181818181819   precision 0.6275576036866359   recall 0.6286181601903251
deviation 5/5   iterations 1010/2000   F1 0.6207792207792208   accuracy 0.8340909090909091   precision 0.625867895545315   recall 0.6164251207729469
deviation 5/5   iterations 1020/2000   F1 0.5977768026912389   accuracy 0.8295454545454546   precision 0.5985867895545315   recall 0.5969943538344356
deviation 5/5   iterations 1030/2000   F1 0.6382585145869353   accuracy 0.8454545454545455   precision 0.6405529953917051   recall 0.6360975261485738
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deviation 5/5   iterations 1040/2000   F1 0.6249739478833238   accuracy 0.8443181818181819   precision 0.6234408602150537   recall 0.6265814809214174
deviation 5/5   iterations 1050/2000   F1 0.6271175391653999   accuracy 0.8375   precision 0.6319201228878648   recall 0.6229329852045257
deviation 5/5   iterations 1060/2000   F1 0.6020023790642347   accuracy 0.8340909090909091   precision 0.6011674347158218   recall 0.6028663892741563
deviation 5/5   iterations 1070/2000   F1 0.6007863299561469   accuracy 0.8363636363636363   precision 0.5983410138248848   recall 0.6034997865983781
deviation 5/5   iterations 1080/2000   F1 0.6071783889762539   accuracy 0.8261363636363637   precision 0.6131182795698925   recall 0.602373326215579
deviation 5/5   iterations 1090/2000   F1 0.6051948051948053   accuracy 0.8272727272727273   precision 0.6096466973886329   recall 0.6014208581983518
deviation 5/5   iterations 1100/2000   F1 0.6203635429064464   accuracy 0.8397727272727272   precision 0.6208602150537634   recall 0.6198747013797474
deviation 5/5   iterations 1110/2000   F1 0.5872875744868682   accuracy 0.8454545454545455   precision 0.5788018433179724   recall 0.6013369364244062
deviation 5/5   iterations 1120/2000   F1 0.5922779922779923   accuracy 0.8465909090909091   precision 0.5835637480798771   recall 0.60625
deviation 5/5   iterations 1130/2000   F1 0.6219023998530279   accuracy 0.8352272727272727   precision 0.6265130568356375   recall 0.6178942787778847
deviation 5/5   iterations 1140/2000   F1 0.6071831260684256   accuracy 0.8465909090909091   precision 0.6000307219662058   recall 0.6167929292929293
deviation 5/5   iterations 1150/2000   F1 0.6062310270120622   accuracy 0.8420454545454545   precision 0.6015668202764977   recall 0.6118645444209843
deviation 5/5   iterations 1160/2000   F1 0.624591682511823   accuracy 0.8409090909090909   precision 0.6256221198156682   recall 0.6235929924677491
deviation 5/5   iterations 1170/2000   F1 0.6077939804175545   accuracy 0.8545454545454545   precision 0.5963133640552996   recall 0.6267568048389967
deviation 5/5   iterations 1180/2000   F1 0.6062444068807795   accuracy 0.8568181818181818   precision 0.5934869431643626   recall 0.6291354755478603
deviation 5/5   iterations 10/2000   F1 0.4909474709750751   accuracy 0.6113636363636363   precision 0.5735176651305683   recall 0.5323464052640969
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deviation 5/5   iterations 20/2000   F1 0.20434407468832505   accuracy 0.20454545454545456   precision 0.5154531490015362   recall 0.517514171506567
deviation 5/5   iterations 30/2000   F1 0.3772371318808029   accuracy 0.4113636363636364   precision 0.5546543778801843   recall 0.5251329403986233
deviation 5/5   iterations 40/2000   F1 0.3916972200562957   accuracy 0.4318181818181818   precision 0.5621505376344086   recall 0.5278314320461812
deviation 5/5   iterations 50/2000   F1 0.3273478994068852   accuracy 0.3386363636363636   precision 0.5709984639016897   recall 0.5399111626910934
deviation 5/5   iterations 60/2000   F1 0.46499259185870034   accuracy 0.5397727272727273   precision 0.6069738863287251   recall 0.5449722055754169
deviation 5/5   iterations 70/2000   F1 0.46672686981267714   accuracy 0.5363636363636364   precision 0.621505376344086   recall 0.5511481498724853
deviation 5/5   iterations 80/2000   F1 0.3858404513232483   accuracy 0.4147727272727273   precision 0.5936405529953918   recall 0.5440808959644576
deviation 5/5   iterations 90/2000   F1 0.3275574948881722   accuracy 0.3409090909090909   precision 0.5558218125960062   recall 0.5304704217227107
deviation 5/5   iterations 100/2000   F1 0.4272867116317596   accuracy 0.475   precision 0.6072503840245775   recall 0.5466613914745053
deviation 5/5   iterations 110/2000   F1 0.4649797609402995   accuracy 0.5284090909090909   precision 0.6334562211981567   recall 0.5563933200398803
deviation 5/5   iterations 120/2000   F1 0.5206455576739148   accuracy 0.6090909090909091   precision 0.6710291858678956   recall 0.5725811077908329
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deviation 5/5   iterations 130/2000   F1 0.5626462359767027   accuracy 0.696590909090909   precision 0.6548387096774193   recall 0.573902027027027
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deviation 5/5   iterations 140/2000   F1 0.5216145833333334   accuracy 0.6204545454545455   precision 0.6527803379416283   recall 0.5656501650165017
deviation 5/5   iterations 150/2000   F1 0.5495218789032905   accuracy 0.6590909090909091   precision 0.6747158218125959   recall 0.5773535220539828
deviation 5/5   iterations 160/2000   F1 0.5537681412834411   accuracy 0.6704545454545454   precision 0.6688172043010753   recall 0.5761607761607761
deviation 5/5   iterations 170/2000   F1 0.5192029567732604   accuracy 0.6136363636363636   precision 0.6571428571428571   recall 0.5670995670995671
deviation 5/5   iterations 180/2000   F1 0.5886008477576672   accuracy 0.7284090909090909   precision 0.6770199692780339   recall 0.5889658835445539
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deviation 5/5   iterations 190/2000   F1 0.583605359463814   accuracy 0.7306818181818182   precision 0.6618433179723502   recall 0.583219593569912
deviation 5/5   iterations 200/2000   F1 0.5410429822013152   accuracy 0.6511363636363636   precision 0.6619662058371736   recall 0.5714812565081568
deviation 5/5   iterations 210/2000   F1 0.5160195481593911   accuracy 0.6215909090909091   precision 0.6328417818740399   recall 0.5575538802282989
deviation 5/5   iterations 220/2000   F1 0.5122228742244379   accuracy 0.6125   precision 0.6359139784946236   recall 0.5583628841607565
deviation 5/5   iterations 230/2000   F1 0.5120156000472931   accuracy 0.6215909090909091   precision 0.6204915514592935   recall 0.5524679466598172
deviation 5/5   iterations 240/2000   F1 0.5412191516997358   accuracy 0.6693181818181818   precision 0.6352380952380953   recall 0.5622807017543859
deviation 5/5   iterations 250/2000   F1 0.4771666523774929   accuracy 0.5511363636363636   precision 0.6298924731182796   recall 0.5546016199685925
deviation 5/5   iterations 260/2000   F1 0.49869791666666674   accuracy 0.5863636363636363   precision 0.6375422427035331   recall 0.5581395348837209
deviation 5/5   iterations 270/2000   F1 0.5339294620957747   accuracy 0.6488636363636363   precision 0.6442089093701997   recall 0.5640570754819973
deviation 5/5   iterations 280/2000   F1 0.5260932422078728   accuracy 0.6397727272727273   precision 0.6349308755760368   recall 0.5595496355432141
deviation 5/5   iterations 290/2000   F1 0.4876404913061907   accuracy 0.5738636363636364   precision 0.6222119815668203   recall 0.5515487964172421
deviation 5/5   iterations 300/2000   F1 0.5387873558710488   accuracy 0.6659090909090909   precision 0.6333026113671275   recall 0.5611226622941212
deviation 5/5   iterations 310/2000   F1 0.5637068011314721   accuracy 0.7068181818181818   precision 0.6441781874039938   recall 0.5710892576906065
deviation 5/5   iterations 320/2000   F1 0.5394868720053786   accuracy 0.6647727272727273   precision 0.636774193548387   recall 0.5624495017506059
deviation 5/5   iterations 330/2000   F1 0.5232107023411371   accuracy 0.6318181818181818   precision 0.6386482334869432   recall 0.5605365526492287
deviation 5/5   iterations 340/2000   F1 0.5677409653651446   accuracy 0.7215909090909091   precision 0.6360983102918587   recall 0.5703174603174603
deviation 5/5   iterations 350/2000   F1 0.5840713993732116   accuracy 0.7477272727272727   precision 0.6427035330261137   recall 0.5792602603217506
deviation 5/5   iterations 360/2000   F1 0.581643245317911   accuracy 0.7522727272727273   precision 0.6329339477726574   recall 0.576141506711433
deviation 5/5   iterations 370/2000   F1 0.6002870665612878   accuracy 0.7727272727272727   precision 0.6486635944700461   recall 0.5899101455953505
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deviation 5/5   iterations 380/2000   F1 0.6085399940529289   accuracy 0.7875   precision 0.6488172043010753   recall 0.5961111111111111
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deviation 5/5   iterations 390/2000   F1 0.5948434622467772   accuracy 0.7636363636363637   precision 0.6476190476190476   recall 0.5862279360567364
deviation 5/5   iterations 400/2000   F1 0.5651862064568572   accuracy 0.7181818181818181   precision 0.634162826420891   recall 0.5688232438804521
deviation 5/5   iterations 410/2000   F1 0.5825381314340305   accuracy 0.7534090909090909   precision 0.6335791090629801   recall 0.5767568636312281
deviation 5/5   iterations 420/2000   F1 0.5757159003785992   accuracy 0.7227272727272728   precision 0.6532104454685099   recall 0.5778678541761653
deviation 5/5   iterations 430/2000   F1 0.5516531165311653   accuracy 0.6795454545454546   precision 0.6492780337941628   recall 0.5692658588738417
deviation 5/5   iterations 440/2000   F1 0.5502941176470588   accuracy 0.6840909090909091   precision 0.6395084485407067   recall 0.565782992901637
deviation 5/5   iterations 450/2000   F1 0.5594381599005473   accuracy 0.696590909090909   precision 0.646605222734255   recall 0.5704816145193308
deviation 5/5   iterations 460/2000   F1 0.5634920634920635   accuracy 0.7159090909090909   precision 0.6328725038402458   recall 0.567843137254902
deviation 5/5   iterations 470/2000   F1 0.5739300233682255   accuracy 0.725   precision 0.6462672811059907   recall 0.5753900138713824
deviation 5/5   iterations 480/2000   F1 0.5843356950623387   accuracy 0.7556818181818182   precision 0.6348694316436252   recall 0.578002842928216
deviation 5/5   iterations 490/2000   F1 0.5774512628445213   accuracy 0.7272727272727273   precision 0.6516743471582181   recall 0.5781769583035109
deviation 5/5   iterations 500/2000   F1 0.5787387357123062   accuracy 0.740909090909091   precision 0.6388325652841782   recall 0.5757819679498789
deviation 5/5   iterations 510/2000   F1 0.5974536645822771   accuracy 0.7693181818181818   precision 0.6467281105990783   recall 0.5877941176470588
deviation 5/5   iterations 520/2000   F1 0.6037086092715233   accuracy 0.8068181818181818   precision 0.6227342549923195   recall 0.5937133474079287
deviation 5/5   iterations 530/2000   F1 0.6009109856041475   accuracy 0.7920454545454545   precision 0.6308141321044547   recall 0.5898130336471938
deviation 5/5   iterations 540/2000   F1 0.6077811879400614   accuracy 0.8204545454545454   precision 0.6181259600614439   recall 0.6005165688950236
deviation 5/5   iterations 550/2000   F1 0.5938561512332003   accuracy 0.7727272727272727   precision 0.6363133640552995   recall 0.5842901541805029
deviation 5/5   iterations 560/2000   F1 0.5907123179850453   accuracy 0.7636363636363637   precision 0.6393855606758833   recall 0.5825323253123386
deviation 5/5   iterations 570/2000   F1 0.5960173694469322   accuracy 0.7920454545454545   precision 0.6225806451612903   recall 0.585757763334365
deviation 5/5   iterations 580/2000   F1 0.6050732892838155   accuracy 0.7784090909090909   precision 0.651889400921659   recall 0.5935683139534884
deviation 5/5   iterations 590/2000   F1 0.5828414010232192   accuracy 0.759090909090909   precision 0.6285714285714286   recall 0.5761291120635083
deviation 5/5   iterations 600/2000   F1 0.57175496333688   accuracy 0.7318181818181818   precision 0.6336712749615976   recall 0.5713788872046249
deviation 5/5   iterations 610/2000   F1 0.5857332742578644   accuracy 0.7681818181818182   precision 0.6254992319508448   recall 0.5776031732763927
deviation 5/5   iterations 620/2000   F1 0.6110834731300978   accuracy 0.7829545454545455   precision 0.6585867895545314   recall 0.5984363081617087
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deviation 5/5   iterations 630/2000   F1 0.5897930006981013   accuracy 0.7625   precision 0.6387403993855607   recall 0.581868546235062
deviation 5/5   iterations 640/2000   F1 0.5876063038953315   accuracy 0.7761363636363636   precision 0.6217818740399386   recall 0.5786507936507936
deviation 5/5   iterations 650/2000   F1 0.6033018763348286   accuracy 0.7920454545454545   precision 0.6349308755760369   recall 0.5917937399678973
deviation 5/5   iterations 660/2000   F1 0.5754882154882155   accuracy 0.7761363636363636   precision 0.6011981566820277   recall 0.5682270091135045
deviation 5/5   iterations 670/2000   F1 0.5962899372269007   accuracy 0.7704545454545455   precision 0.6432565284178187   recall 0.5866400101076915
deviation 5/5   iterations 680/2000   F1 0.5941371897596248   accuracy 0.7988636363636363   precision 0.6141013824884793   recall 0.5847945205479452
deviation 5/5   iterations 690/2000   F1 0.6069864755968505   accuracy 0.7909090909090909   precision 0.6425192012288786   recall 0.5948197627359764
deviation 5/5   iterations 700/2000   F1 0.5983288762874419   accuracy 0.8068181818181818   precision 0.6145007680491551   recall 0.589420243956276
deviation 5/5   iterations 710/2000   F1 0.6088324145878103   accuracy 0.821590909090909   precision 0.6187711213517665   recall 0.6017325586291103
deviation 5/5   iterations 720/2000   F1 0.6109515429308127   accuracy 0.8238636363636364   precision 0.6200614439324117   recall 0.6042200034135518
deviation 5/5   iterations 730/2000   F1 0.6127459830294277   accuracy 0.8227272727272728   precision 0.6235330261136712   recall 0.6051175873932093
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deviation 5/5   iterations 740/2000   F1 0.6056950185390553   accuracy 0.8181818181818182   precision 0.6168356374807988   recall 0.5981378833390105
deviation 5/5   iterations 750/2000   F1 0.5948132390504143   accuracy 0.7965909090909091   precision 0.6169278033794163   recall 0.5851042896497443
deviation 5/5   iterations 760/2000   F1 0.5893546580738964   accuracy 0.7840909090909091   precision 0.6180645161290323   recall 0.5799565575612313
deviation 5/5   iterations 770/2000   F1 0.5943841059602649   accuracy 0.8022727272727272   precision 0.6119201228878648   recall 0.5854562514661037
deviation 5/5   iterations 780/2000   F1 0.5820284421822098   accuracy 0.7875   precision 0.6035330261136713   recall 0.573854272590203
deviation 5/5   iterations 790/2000   F1 0.5731841998000724   accuracy 0.7579545454545454   precision 0.6114592933947772   recall 0.5676542546843298
deviation 5/5   iterations 800/2000   F1 0.592187728458883   accuracy 0.7875   precision 0.62   recall 0.582388377037562
deviation 5/5   iterations 810/2000   F1 0.5728113865183156   accuracy 0.7727272727272727   precision 0.5992626728110599   recall 0.5660406668247336
deviation 5/5   iterations 820/2000   F1 0.590404378256794   accuracy 0.7556818181818182   precision 0.6472196620583717   recall 0.5835285586791611
deviation 5/5   iterations 830/2000   F1 0.5813621587335148   accuracy 0.7545454545454545   precision 0.6301075268817204   recall 0.5754961173425367
deviation 5/5   iterations 840/2000   F1 0.5934090015022745   accuracy 0.8011363636363636   precision 0.6112749615975422   recall 0.584496659325893
deviation 5/5   iterations 850/2000   F1 0.5993264632585708   accuracy 0.8079545454545455   precision 0.6151459293394778   recall 0.5904440154440155
deviation 5/5   iterations 860/2000   F1 0.6010044642857143   accuracy 0.8227272727272728   precision 0.6070660522273426   recall 0.5962079969964332
deviation 5/5   iterations 870/2000   F1 0.6020434659563356   accuracy 0.8238636363636364   precision 0.6077112135176651   recall 0.5974798701009831
deviation 5/5   iterations 880/2000   F1 0.5965613309786751   accuracy 0.8079545454545455   precision 0.6110291858678956   recall 0.5882358685886168
deviation 5/5   iterations 890/2000   F1 0.597037037037037   accuracy 0.7875   precision 0.6282334869431644   recall 0.5864540182270092
deviation 5/5   iterations 900/2000   F1 0.5798712804928433   accuracy 0.7636363636363637   precision 0.6188018433179724   recall 0.5729121886100866
deviation 5/5   iterations 910/2000   F1 0.5997113906578411   accuracy 0.8022727272727272   precision 0.6201536098310292   recall 0.5897685435966177
deviation 5/5   iterations 920/2000   F1 0.592187728458883   accuracy 0.7875   precision 0.62   recall 0.582388377037562
deviation 5/5   iterations 930/2000   F1 0.5938431424885449   accuracy 0.8113636363636364   precision 0.6047311827956989   recall 0.5868588142969251
deviation 5/5   iterations 940/2000   F1 0.5988663614562895   accuracy 0.8170454545454545   precision 0.6079569892473118   recall 0.5924697907456529
deviation 5/5   iterations 950/2000   F1 0.5853186030682235   accuracy 0.7852272727272728   precision 0.6104761904761904   recall 0.5765601580596811
deviation 5/5   iterations 960/2000   F1 0.6089134276542125   accuracy 0.8068181818181818   precision 0.6309677419354839   recall 0.5978479420486784
deviation 5/5   iterations 970/2000   F1 0.5772888846190797   accuracy 0.7784090909090909   precision 0.6024884792626728   recall 0.569723113964687
deviation 5/5   iterations 980/2000   F1 0.5897930006981013   accuracy 0.7625   precision 0.6387403993855607   recall 0.581868546235062
deviation 5/5   iterations 990/2000   F1 0.5922034012390265   accuracy 0.7965909090909091   precision 0.6128110599078341   recall 0.5829598033545402
deviation 5/5   iterations 1000/2000   F1 0.5838860645283317   accuracy 0.7897727272727273   precision 0.6048233486943164   recall 0.5755241535628276
deviation 5/5   iterations 1010/2000   F1 0.5870095738689693   accuracy 0.8068181818181818   precision 0.5980337941628264   recall 0.5802961218306811
deviation 5/5   iterations 1020/2000   F1 0.5793257739449681   accuracy 0.8011363636363636   precision 0.5906912442396313   recall 0.5729364326375711
deviation 5/5   iterations 1030/2000   F1 0.5900777087787166   accuracy 0.8284090909090909   precision 0.5897081413210445   recall 0.5904540047581285
deviation 5/5   iterations 1040/2000   F1 0.5808758285923066   accuracy 0.8340909090909091   precision 0.5764669738863287   recall 0.5866655524450202
deviation 5/5   iterations 1050/2000   F1 0.5997488664108824   accuracy 0.8147727272727273   precision 0.6107834101382488   recall 0.5924615384615385
deviation 5/5   iterations 1060/2000   F1 0.5843897588864031   accuracy 0.7840909090909091   precision 0.609831029185868   recall 0.5757575757575757
deviation 5/5   iterations 1070/2000   F1 0.6030544189193543   accuracy 0.8090909090909091   precision 0.6199078341013825   recall 0.5936429332335244
deviation 5/5   iterations 1080/2000   F1 0.593648052197275   accuracy 0.825   precision 0.5960061443932412   recall 0.5915252053093405
deviation 5/5   iterations 1090/2000   F1 0.5945847645989089   accuracy 0.8056818181818182   precision 0.6097388632872504   recall 0.5861969111969112
deviation 5/5   iterations 1100/2000   F1 0.6017886905514755   accuracy 0.8170454545454545   precision 0.6120737327188941   recall 0.5947473404255319
deviation 5/5   iterations 1110/2000   F1 0.6030881336473014   accuracy 0.825   precision 0.6083563748079878   recall 0.5987722776713602
deviation 5/5   iterations 1120/2000   F1 0.6077811879400614   accuracy 0.8204545454545454   precision 0.6181259600614439   recall 0.6005165688950236
deviation 5/5   iterations 1130/2000   F1 0.6129797120293707   accuracy 0.8170454545454545   precision 0.6285407066052227   recall 0.603376027830487
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deviation 5/5   iterations 1140/2000   F1 0.596853841668749   accuracy 0.825   precision 0.6001228878648234   recall 0.5940049151388584
deviation 5/5   iterations 1150/2000   F1 0.6101628664495113   accuracy 0.8261363636363637   precision 0.6172350230414747   recall 0.6046052631578948
deviation 5/5   iterations 1160/2000   F1 0.5999698953864679   accuracy 0.8284090909090909   precision 0.6020583717357911   recall 0.5980519480519481
deviation 5/5   iterations 1170/2000   F1 0.6056950185390553   accuracy 0.8181818181818182   precision 0.6168356374807988   recall 0.5981378833390105
deviation 5/5   iterations 1180/2000   F1 0.5948132390504143   accuracy 0.7965909090909091   precision 0.6169278033794163   recall 0.5851042896497443
deviation 5/5   iterations 1190/2000   F1 0.6026053397829622   accuracy 0.8147727272727273   precision 0.6149001536098311   recall 0.5946969696969697
deviation 5/5   iterations 1200/2000   F1 0.6052683073681042   accuracy 0.8306818181818182   precision 0.6074654377880184   recall 0.6032467532467533
deviation 5/5   iterations 1210/2000   F1 0.5913945209719857   accuracy 0.8261363636363637   precision 0.5925345622119815   recall 0.5903137593552101
deviation 5/5   iterations 1220/2000   F1 0.6069808987220009   accuracy 0.8227272727272728   precision 0.615299539170507   recall 0.600766826690724
deviation 5/5   iterations 1230/2000   F1 0.585061237320308   accuracy 0.8227272727272728   precision 0.5864823348694317   recall 0.5837408822094504
deviation 5/5   iterations 1240/2000   F1 0.6007662062707935   accuracy 0.8159090909090909   precision 0.6114285714285714   recall 0.5935961353853776
deviation 5/5   iterations 1250/2000   F1 0.6033643011481129   accuracy 0.8125   precision 0.6177265745007681   recall 0.5946790006325111
deviation 5/5   iterations 1260/2000   F1 0.6036300547177366   accuracy 0.8159090909090909   precision 0.6155453149001536   recall 0.595827515567831
deviation 5/5   iterations 1270/2000   F1 0.6042088000514015   accuracy 0.8329545454545455   precision 0.6046390168970814   recall 0.603785773487397
deviation 5/5   iterations 1280/2000   F1 0.5868555436946423   accuracy 0.7965909090909091   precision 0.6045775729646697   recall 0.5785519125683061
deviation 5/5   iterations 1290/2000   F1 0.6010044642857143   accuracy 0.8227272727272728   precision 0.6070660522273426   recall 0.5962079969964332
deviation 5/5   iterations 1300/2000   F1 0.5783926218708828   accuracy 0.8   precision 0.5900460829493088   recall 0.5719857354775962
deviation 5/5   iterations 1310/2000   F1 0.5975997834952452   accuracy 0.8329545454545455   precision 0.596405529953917   recall 0.5988583093905943
deviation 5/5   iterations 1320/2000   F1 0.5988663614562895   accuracy 0.8170454545454545   precision 0.6079569892473118   recall 0.5924697907456529
deviation 5/5   iterations 1330/2000   F1 0.5934136151388547   accuracy 0.8397727272727272   precision 0.587926267281106   recall 0.600632911392405
deviation 5/5   iterations 1340/2000   F1 0.5978866950790099   accuracy 0.8261363636363637   precision 0.6007680491551459   recall 0.5953311011904762
deviation 5/5   iterations 1350/2000   F1 0.589926752703174   accuracy 0.8102272727272727   precision 0.5999692780337942   recall 0.5834358974358974
deviation 5/5   iterations 1360/2000   F1 0.5886753980079994   accuracy 0.8306818181818182   precision 0.5868817204301076   recall 0.5906410256410257
deviation 5/5   iterations 1370/2000   F1 0.5900777087787166   accuracy 0.8284090909090909   precision 0.5897081413210445   recall 0.5904540047581285
deviation 5/5   iterations 1380/2000   F1 0.588370754173863   accuracy 0.8227272727272728   precision 0.5905990783410138   recall 0.5863705057463184
deviation 5/5   iterations 1390/2000   F1 0.6040197990100495   accuracy 0.8227272727272728   precision 0.6111827956989248   recall 0.5985147921906815
deviation 5/5   iterations 1400/2000   F1 0.5866501177400139   accuracy 0.8284090909090909   precision 0.5855913978494623   recall 0.587769040778265
deviation 5/5   iterations 1410/2000   F1 0.5926303120081474   accuracy 0.8238636363636364   precision 0.5953609831029186   recall 0.5902157738095238
deviation 5/5   iterations 1420/2000   F1 0.5927787345212573   accuracy 0.8204545454545454   precision 0.5975422427035331   recall 0.5889146531348366
deviation 5/5   iterations 1430/2000   F1 0.596293237911735   accuracy 0.8352272727272727   precision 0.5935791090629801   recall 0.5993658332898377
deviation 5/5   iterations 1440/2000   F1 0.5994871794871794   accuracy 0.8386363636363636   precision 0.5955145929339478   recall 0.6042239356352666
deviation 5/5   iterations 1450/2000   F1 0.5899122807017544   accuracy 0.8068181818181818   precision 0.6021505376344086   recall 0.5826497638578175
deviation 5/5   iterations 1460/2000   F1 0.5913104760791267   accuracy 0.8375   precision 0.5866359447004608   recall 0.5972467446479806
deviation 5/5   iterations 1470/2000   F1 0.5722365833008733   accuracy 0.8284090909090909   precision 0.5691244239631337   recall 0.5761328569108332
deviation 5/5   iterations 1480/2000   F1 0.596853841668749   accuracy 0.825   precision 0.6001228878648234   recall 0.5940049151388584
deviation 5/5   iterations 1490/2000   F1 0.5917589191525058   accuracy 0.8340909090909091   precision 0.5888172043010753   recall 0.5951600373925294
deviation 5/5   iterations 1500/2000   F1 0.5830934561504509   accuracy 0.8204545454545454   precision 0.5851920122887865   recall 0.5812158061832964
deviation 5/5   iterations 1510/2000   F1 0.5896970613438177   accuracy 0.8318181818181818   precision 0.5875268817204301   recall 0.5921183667662541
deviation 5/5   iterations 1520/2000   F1 0.6050669562070213   accuracy 0.8238636363636364   precision 0.6118279569892473   recall 0.599780701754386
deviation 5/5   iterations 1530/2000   F1 0.6041385515069726   accuracy 0.8261363636363637   precision 0.6090015360983103   recall 0.6000857555515436
deviation 5/5   iterations 1540/2000   F1 0.6030746163728611   accuracy 0.8352272727272727   precision 0.6018125960061445   recall 0.6044029436967588
deviation 5/5   iterations 1550/2000   F1 0.5948051948051949   accuracy 0.8227272727272728   precision 0.5988325652841782   recall 0.5914180164819551
deviation 5/5   iterations 1560/2000   F1 0.5890629800307221   accuracy 0.8272727272727273   precision 0.589062980030722   recall 0.589062980030722
deviation 5/5   iterations 1570/2000   F1 0.5880540571963566   accuracy 0.8261363636363637   precision 0.5884178187403994   recall 0.5876968455950465
deviation 5/5   iterations 1580/2000   F1 0.5997488664108824   accuracy 0.8147727272727273   precision 0.6107834101382488   recall 0.5924615384615385
deviation 5/5   iterations 1590/2000   F1 0.5948995457749993   accuracy 0.8375   precision 0.590752688172043   recall 0.5999539819176005
deviation 5/5   iterations 1600/2000   F1 0.593648052197275   accuracy 0.825   precision 0.5960061443932412   recall 0.5915252053093405
deviation 5/5   iterations 1610/2000   F1 0.6107599403968317   accuracy 0.8397727272727272   precision 0.608509984639017   recall 0.6132051282051282
deviation 5/5   iterations 1620/2000   F1 0.5903809650469708   accuracy 0.825   precision 0.591889400921659   recall 0.5889765466033627
deviation 5/5   iterations 1630/2000   F1 0.5997176692024155   accuracy 0.8352272727272727   precision 0.5976958525345621   recall 0.6019230769230769
deviation 5/5   iterations 1640/2000   F1 0.6027423508741162   accuracy 0.8420454545454545   precision 0.5974500768049156   recall 0.6093853453983669
deviation 5/5   iterations 1650/2000   F1 0.6005652863935308   accuracy 0.8397727272727272   precision 0.5961597542242704   recall 0.6059092631692924
deviation 5/5   iterations 1660/2000   F1 0.5924138267271221   accuracy 0.8272727272727273   precision 0.5931797235023042   recall 0.5916746261077729
deviation 5/5   iterations 1670/2000   F1 0.5987931612470666   accuracy 0.8454545454545455   precision 0.5911520737327189   recall 0.6097669256381798
deviation 5/5   iterations 1680/2000   F1 0.607429976176239   accuracy 0.8397727272727272   precision 0.6043932411674348   recall 0.6108486873010074
deviation 5/5   iterations 1690/2000   F1 0.5991807979028427   accuracy 0.8420454545454545   precision 0.5933333333333334   recall 0.6068213783403658
deviation 5/5   iterations 1700/2000   F1 0.5923586826034761   accuracy 0.8386363636363636   precision 0.5872811059907834   recall 0.5989219905569716
deviation 5/5   iterations 1710/2000   F1 0.5989638920495473   accuracy 0.8238636363636364   precision 0.6035944700460829   recall 0.5951209604621773
deviation 5/5   iterations 1720/2000   F1 0.5958267032911677   accuracy 0.8238636363636364   precision 0.5994777265745008   recall 0.5927007466446796
deviation 5/5   iterations 1730/2000   F1 0.5966198979591837   accuracy 0.8431818181818181   precision 0.5898617511520737   recall 0.605992085924251
deviation 5/5   iterations 1740/2000   F1 0.6031397786553556   accuracy 0.8318181818181818   precision 0.6039938556067588   recall 0.6023140815610982
deviation 5/5   iterations 1750/2000   F1 0.5861665755792524   accuracy 0.8318181818181818   precision 0.5834101382488479   recall 0.5893668286131848
deviation 5/5   iterations 1760/2000   F1 0.5882051282051282   accuracy 0.8340909090909091   precision 0.584700460829493   recall 0.5924237344954744
deviation 5/5   iterations 1770/2000   F1 0.596293237911735   accuracy 0.8352272727272727   precision 0.5935791090629801   recall 0.5993658332898377
deviation 5/5   iterations 1780/2000   F1 0.589085593633263   accuracy 0.8431818181818181   precision 0.5816282642089093   recall 0.6004142038669106
deviation 5/5   iterations 1790/2000   F1 0.5886753980079994   accuracy 0.8306818181818182   precision 0.5868817204301076   recall 0.5906410256410257
deviation 5/5   iterations 1800/2000   F1 0.5924382131278683   accuracy 0.8   precision 0.6106298003072197   recall 0.5835491085929597
deviation 5/5   iterations 1810/2000   F1 0.5948995457749993   accuracy 0.8375   precision 0.590752688172043   recall 0.5999539819176005
deviation 5/5   iterations 1820/2000   F1 0.5917589191525058   accuracy 0.8340909090909091   precision 0.5888172043010753   recall 0.5951600373925294
deviation 5/5   iterations 1830/2000   F1 0.5880357942738592   accuracy 0.8420454545454545   precision 0.5809831029185868   recall 0.5985582675281168
deviation 5/5   iterations 1840/2000   F1 0.5913104760791267   accuracy 0.8375   precision 0.5866359447004608   recall 0.5972467446479806
deviation 5/5   iterations 1850/2000   F1 0.5987931612470666   accuracy 0.8454545454545455   precision 0.5911520737327189   recall 0.6097669256381798
deviation 5/5   iterations 1860/2000   F1 0.596293237911735   accuracy 0.8352272727272727   precision 0.5935791090629801   recall 0.5993658332898377
deviation 5/5   iterations 1870/2000   F1 0.609651260136697   accuracy 0.8386363636363636   precision 0.6078648233486943   recall 0.6115608993505256
deviation 5/5   iterations 1880/2000   F1 0.5913104760791267   accuracy 0.8375   precision 0.5866359447004608   recall 0.5972467446479806
deviation 5/5   iterations 1890/2000   F1 0.5869929601072745   accuracy 0.8409090909090909   precision 0.5803379416282642   recall 0.5967443581206068
deviation 5/5   iterations 1900/2000   F1 0.5761475583091641   accuracy 0.8420454545454545   precision 0.5686328725038402   recall 0.5892800051154166
deviation 5/5   iterations 1910/2000   F1 0.6029436062990124   accuracy 0.8386363636363636   precision 0.5996313364055299   recall 0.6067464549512185
deviation 5/5   iterations 1920/2000   F1 0.6051282051282051   accuracy 0.8409090909090909   precision 0.6009216589861751   recall 0.6101240362051625
deviation 5/5   iterations 1930/2000   F1 0.6049479806668305   accuracy 0.8443181818181819   precision 0.5987403993855607   recall 0.6130098452883264
deviation 5/5   iterations 1940/2000   F1 0.6002685942252242   accuracy 0.8431818181818181   precision 0.5939784946236559   recall 0.6086308044148354
deviation 5/5   iterations 1950/2000   F1 0.5781758348603268   accuracy 0.8397727272727272   precision 0.5714592933947773   recall 0.5888654563237361
deviation 5/5   iterations 1960/2000   F1 0.5977768026912389   accuracy 0.8295454545454546   precision 0.5985867895545315   recall 0.5969943538344356
deviation 5/5   iterations 1970/2000   F1 0.5876464323748668   accuracy 0.8375   precision 0.5825192012288787   recall 0.5944444444444444
deviation 5/5   iterations 1980/2000   F1 0.6   accuracy 0.825   precision 0.6042396313364056   recall 0.5964194373401535
deviation 5/5   iterations 1990/2000   F1 0.5702552719200888   accuracy 0.85   precision 0.5607987711213518   recall 0.5933931099575271
deviation 5/5   iterations 2000/2000   F1 0.5973512627257591   accuracy 0.8363636363636363   precision 0.5942242703533026   recall 0.600953246171874

