deviation 1/5   iterations 10/2000   F1 0.09407623588304224   accuracy 0.11984536082474227   precision 0.3966047539417104   recall 0.334056776970649
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deviation 1/5   iterations 20/2000   F1 0.40571701675901756   accuracy 0.5618556701030928   precision 0.4295024025729593   recall 0.3986352778120472
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deviation 1/5   iterations 30/2000   F1 0.4372964997964998   accuracy 0.5335051546391752   precision 0.4545444971381136   recall 0.4465778322830616
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deviation 1/5   iterations 40/2000   F1 0.3253906010053263   accuracy 0.3324742268041237   precision 0.4551399068682853   recall 0.35591126496367514
deviation 1/5   iterations 50/2000   F1 0.43881293106067515   accuracy 0.5760309278350515   precision 0.4604382523266599   recall 0.4359977948161078
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deviation 1/5   iterations 60/2000   F1 0.4119382806285139   accuracy 0.5219072164948454   precision 0.4644018978306737   recall 0.4117090134448628
deviation 1/5   iterations 70/2000   F1 0.4195697595585937   accuracy 0.5412371134020618   precision 0.4908157434194078   recall 0.43828168292664055
deviation 1/5   iterations 80/2000   F1 0.4460881322340424   accuracy 0.5579896907216495   precision 0.48671339252283724   recall 0.4474829918677736
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deviation 1/5   iterations 90/2000   F1 0.45085688742364355   accuracy 0.5811855670103093   precision 0.4866265717584663   recall 0.45029895795289226
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deviation 1/5   iterations 100/2000   F1 0.4692088423968704   accuracy 0.5811855670103093   precision 0.49704863039999375   recall 0.4710032975968137
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deviation 1/5   iterations 110/2000   F1 0.4788130594414554   accuracy 0.6056701030927835   precision 0.4992894405468609   recall 0.48156651931510636
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deviation 1/5   iterations 120/2000   F1 0.4541585099827687   accuracy 0.5438144329896907   precision 0.5278322242387579   recall 0.4771495555227112
deviation 1/5   iterations 130/2000   F1 0.5015840107257157   accuracy 0.6404639175257731   precision 0.49977324263038553   recall 0.5132395315857169
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deviation 1/5   iterations 140/2000   F1 0.47904348623723747   accuracy 0.5927835051546392   precision 0.5151622105262129   recall 0.4907575677994293
deviation 1/5   iterations 150/2000   F1 0.47915745929885656   accuracy 0.6030927835051546   precision 0.5130958722001546   recall 0.48751672922695194
deviation 1/5   iterations 160/2000   F1 0.49995763980414987   accuracy 0.604381443298969   precision 0.5136003776109317   recall 0.514646761380455
deviation 1/5   iterations 170/2000   F1 0.5025453999084831   accuracy 0.615979381443299   precision 0.5196456299965049   recall 0.5114237564591001
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deviation 1/5   iterations 180/2000   F1 0.4790542028454161   accuracy 0.5914948453608248   precision 0.5220985737290085   recall 0.49368639890946
deviation 1/5   iterations 190/2000   F1 0.492733431377685   accuracy 0.586340206185567   precision 0.5169742373011877   recall 0.5113468437491221
deviation 1/5   iterations 200/2000   F1 0.5118029762492302   accuracy 0.6391752577319587   precision 0.5225693983157117   recall 0.519577765915821
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deviation 1/5   iterations 210/2000   F1 0.5065415967597063   accuracy 0.615979381443299   precision 0.5302219851671238   recall 0.5195233692082877
deviation 1/5   iterations 220/2000   F1 0.5059558029575421   accuracy 0.6185567010309279   precision 0.5212773998488284   recall 0.5171935533386997
deviation 1/5   iterations 230/2000   F1 0.5104961901636953   accuracy 0.6262886597938144   precision 0.5248221659004715   recall 0.5213429309320606
deviation 1/5   iterations 240/2000   F1 0.5006407446337268   accuracy 0.5927835051546392   precision 0.5235206421426766   recall 0.5199576063982906
deviation 1/5   iterations 250/2000   F1 0.5004245438334964   accuracy 0.6211340206185567   precision 0.5239204529216849   recall 0.5064605862059559
deviation 1/5   iterations 260/2000   F1 0.49815528295181805   accuracy 0.5992268041237113   precision 0.5265505286136198   recall 0.5122507004186837
deviation 1/5   iterations 270/2000   F1 0.5174623990870231   accuracy 0.634020618556701   precision 0.5336572811322542   recall 0.5272099578547665
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deviation 1/5   iterations 280/2000   F1 0.5039956418746265   accuracy 0.595360824742268   precision 0.5302958916929373   recall 0.5249611263050019
deviation 1/5   iterations 290/2000   F1 0.49973892116285246   accuracy 0.6095360824742269   precision 0.5425500200112533   recall 0.5164357453142895
deviation 1/5   iterations 300/2000   F1 0.5132145450772901   accuracy 0.6288659793814433   precision 0.5220156942874533   recall 0.52606880776342
deviation 1/5   iterations 310/2000   F1 0.48414452036360167   accuracy 0.5811855670103093   precision 0.5143307700303174   recall 0.498182148352362
deviation 1/5   iterations 320/2000   F1 0.48314492573289614   accuracy 0.5811855670103093   precision 0.5288797916957669   recall 0.5012213608052992
deviation 1/5   iterations 330/2000   F1 0.49816610084149787   accuracy 0.5992268041237113   precision 0.5241567566490438   recall 0.513109525083356
deviation 1/5   iterations 340/2000   F1 0.4884104672142879   accuracy 0.5708762886597938   precision 0.5195512423258389   recall 0.511821430592692
deviation 1/5   iterations 350/2000   F1 0.5022496089487412   accuracy 0.6134020618556701   precision 0.5318434043893387   recall 0.5138461200204721
deviation 1/5   iterations 360/2000   F1 0.5022525558385124   accuracy 0.6018041237113402   precision 0.5139113290940656   recall 0.5227107068273975
deviation 1/5   iterations 370/2000   F1 0.5108942342079494   accuracy 0.6237113402061856   precision 0.5256373305884371   recall 0.5225362790616243
deviation 1/5   iterations 380/2000   F1 0.49032868962088844   accuracy 0.5940721649484536   precision 0.5212286901470585   recall 0.5016624790159407
deviation 1/5   iterations 390/2000   F1 0.4865918239123981   accuracy 0.5824742268041238   precision 0.5123764512016712   recall 0.49954744056569317
deviation 1/5   iterations 400/2000   F1 0.49310694300817587   accuracy 0.6108247422680413   precision 0.5237598360937848   recall 0.5011131781317092
deviation 1/5   iterations 410/2000   F1 0.4887244318970277   accuracy 0.595360824742268   precision 0.5132182868755759   recall 0.49873364790590996
deviation 1/5   iterations 420/2000   F1 0.4888660033553145   accuracy 0.5837628865979382   precision 0.5144534747167234   recall 0.5037668498483936
deviation 1/5   iterations 430/2000   F1 0.48813476145140333   accuracy 0.5786082474226805   precision 0.5160158906077872   recall 0.5053872691346323
deviation 1/5   iterations 440/2000   F1 0.4843258575329903   accuracy 0.5927835051546392   precision 0.5133266993528414   recall 0.4912462016969656
deviation 1/5   iterations 450/2000   F1 0.4876302938677411   accuracy 0.5837628865979382   precision 0.5147046275152035   recall 0.5030005728755053
deviation 1/5   iterations 460/2000   F1 0.4881850869266149   accuracy 0.5850515463917526   precision 0.5187413960745885   recall 0.5047360558559725
deviation 1/5   iterations 470/2000   F1 0.49837308602112307   accuracy 0.6082474226804123   precision 0.5104178496616595   recall 0.5121496837784213
deviation 1/5   iterations 480/2000   F1 0.4978229747029444   accuracy 0.6030927835051546   precision 0.521257664766655   recall 0.5126077398860193
deviation 1/5   iterations 490/2000   F1 0.49446847134015376   accuracy 0.5760309278350515   precision 0.5265797239672964   recall 0.5235461197354594
deviation 1/5   iterations 500/2000   F1 0.49746280750658006   accuracy 0.5837628865979382   precision 0.5226936963882215   recall 0.5231237309301063
deviation 1/5   iterations 510/2000   F1 0.4905199890578135   accuracy 0.5837628865979382   precision 0.5195470853985399   recall 0.5101488132682365
deviation 1/5   iterations 520/2000   F1 0.4834428149265706   accuracy 0.5708762886597938   precision 0.5168963566708662   recall 0.5032331839459682
deviation 1/5   iterations 530/2000   F1 0.4894093230679604   accuracy 0.5708762886597938   precision 0.5213521567618558   recall 0.516300649299622
deviation 1/5   iterations 540/2000   F1 0.4898268630141165   accuracy 0.5902061855670103   precision 0.5146870195232564   recall 0.5047407382072947
deviation 1/5   iterations 550/2000   F1 0.500062001477006   accuracy 0.6121134020618557   precision 0.51171788482835   recall 0.5117404462728686
deviation 1/5   iterations 560/2000   F1 0.5128287190421928   accuracy 0.6314432989690721   precision 0.5165396541574786   recall 0.5263154658878492
deviation 1/5   iterations 570/2000   F1 0.4763080863127797   accuracy 0.5721649484536082   precision 0.5141560838393194   recall 0.4972392449443839
deviation 1/5   iterations 580/2000   F1 0.5005961180870053   accuracy 0.6082474226804123   precision 0.5205320301600024   recall 0.516232816279599
deviation 1/5   iterations 590/2000   F1 0.5068516091451871   accuracy 0.615979381443299   precision 0.5229081942328135   recall 0.5210559231540643
deviation 1/5   iterations 600/2000   F1 0.4939969479532662   accuracy 0.5927835051546392   precision 0.5187433408015932   recall 0.5105105350868943
deviation 1/5   iterations 610/2000   F1 0.5007333302126876   accuracy 0.6172680412371134   precision 0.5152145169832001   recall 0.5093537500137417
deviation 1/5   iterations 620/2000   F1 0.48858242744536245   accuracy 0.5889175257731959   precision 0.5098414249899247   recall 0.5030052552268273
deviation 1/5   iterations 630/2000   F1 0.49405481142651403   accuracy 0.595360824742268   precision 0.5236642823033258   recall 0.5094097346491148
deviation 1/5   iterations 640/2000   F1 0.4842042284865024   accuracy 0.5889175257731959   precision 0.5034392073910342   recall 0.4957644671423121
deviation 1/5   iterations 650/2000   F1 0.4846015712588792   accuracy 0.5837628865979382   precision 0.5111824299612318   recall 0.4977550771956869
deviation 1/5   iterations 660/2000   F1 0.4851143592493356   accuracy 0.5876288659793815   precision 0.5037206433542482   recall 0.4994595752252313
deviation 1/5   iterations 670/2000   F1 0.49679786301762396   accuracy 0.6095360824742269   precision 0.5117741101790638   recall 0.5070145694415095
deviation 1/5   iterations 680/2000   F1 0.4656341277484559   accuracy 0.5399484536082474   precision 0.5132877631599482   recall 0.4912074399712381
deviation 1/5   iterations 690/2000   F1 0.4802539691689787   accuracy 0.5824742268041238   precision 0.502078296112284   recall 0.4915403755082896
deviation 1/5   iterations 700/2000   F1 0.4920187227770787   accuracy 0.6018041237113402   precision 0.5062948067844029   recall 0.5036314688210369
deviation 1/5   iterations 710/2000   F1 0.48456308065384207   accuracy 0.5889175257731959   precision 0.50942153140773   recall 0.49337308853186296
deviation 1/5   iterations 720/2000   F1 0.48752143366760503   accuracy 0.5914948453608248   precision 0.5112893642305407   recall 0.4982840607467902
deviation 1/5   iterations 730/2000   F1 0.49701438675220055   accuracy 0.6146907216494846   precision 0.5084013290259223   recall 0.5069267041010476
deviation 1/5   iterations 740/2000   F1 0.4991354712966638   accuracy 0.615979381443299   precision 0.5122311156699969   recall 0.5086621870815149
deviation 1/5   iterations 750/2000   F1 0.4853699007545161   accuracy 0.5940721649484536   precision 0.5023212285758266   recall 0.4967205218500907
deviation 1/5   iterations 760/2000   F1 0.4873381255623661   accuracy 0.5773195876288659   precision 0.5207585913450027   recall 0.5085011956282312
deviation 1/5   iterations 770/2000   F1 0.4740088255576274   accuracy 0.5528350515463918   precision 0.5252212238009442   recall 0.5000258140064192
deviation 1/5   iterations 780/2000   F1 0.4999048032795024   accuracy 0.6185567010309279   precision 0.5111049655850541   recall 0.5099527652541845
deviation 1/5   iterations 790/2000   F1 0.47505480771200853   accuracy 0.5592783505154639   precision 0.5128318907133541   recall 0.4952914682265819
deviation 1/5   iterations 800/2000   F1 0.48318267606842397   accuracy 0.5734536082474226   precision 0.5257728238839366   recall 0.5048939528857739
deviation 1/5   iterations 810/2000   F1 0.48307340582582264   accuracy 0.5824742268041238   precision 0.5060603061281765   recall 0.496878418879892
deviation 1/5   iterations 820/2000   F1 0.49103273652510326   accuracy 0.5979381443298969   precision 0.5072355436670102   recall 0.50508462637483
deviation 1/5   iterations 830/2000   F1 0.5011826988910705   accuracy 0.6069587628865979   precision 0.5235210629896552   recall 0.5182102750331734
deviation 1/5   iterations 840/2000   F1 0.47898055474194884   accuracy 0.5708762886597938   precision 0.5059347482802056   recall 0.4978025928825817
deviation 1/5   iterations 850/2000   F1 0.49531072046272073   accuracy 0.6005154639175257   precision 0.5203244674672666   recall 0.5085555923357644
deviation 1/5   iterations 860/2000   F1 0.4938442043484061   accuracy 0.5889175257731959   precision 0.5211680820633182   recall 0.5137738896618161
deviation 1/5   iterations 870/2000   F1 0.4940741975584501   accuracy 0.5927835051546392   precision 0.5119856381874532   recall 0.511950541340887
deviation 1/5   iterations 880/2000   F1 0.5045526959972456   accuracy 0.6146907216494846   precision 0.5198934024776721   recall 0.5176953385360364
deviation 1/5   iterations 890/2000   F1 0.4742712969715259   accuracy 0.5567010309278351   precision 0.5135371949346536   recall 0.4975287364043857
deviation 1/5   iterations 900/2000   F1 0.47720049714484114   accuracy 0.5528350515463918   precision 0.5212622868628013   recall 0.5042273896379972
deviation 1/5   iterations 910/2000   F1 0.47275962831518387   accuracy 0.5502577319587629   precision 0.5158691958051851   recall 0.49664739573726874
deviation 1/5   iterations 920/2000   F1 0.49476610384300024   accuracy 0.595360824742268   precision 0.5185885258803241   recall 0.5128450333078044
deviation 1/5   iterations 930/2000   F1 0.4942360209693299   accuracy 0.5889175257731959   precision 0.5193650085423446   recall 0.515491538991161
deviation 1/5   iterations 940/2000   F1 0.4949374573983542   accuracy 0.5889175257731959   precision 0.5213590055327643   recall 0.5173017360122897
deviation 1/5   iterations 950/2000   F1 0.5023568088990525   accuracy 0.6005154639175257   precision 0.5237867537627205   recall 0.520671685332962
deviation 1/5   iterations 960/2000   F1 0.49141116352201264   accuracy 0.5811855670103093   precision 0.531437658867504   recall 0.5133374538024968
deviation 1/5   iterations 970/2000   F1 0.48507990960821146   accuracy 0.5773195876288659   precision 0.5193094188521711   recall 0.5032556999484127
deviation 1/5   iterations 980/2000   F1 0.4857494974143967   accuracy 0.5837628865979382   precision 0.5114366260110224   recall 0.5012829235461606
deviation 1/5   iterations 990/2000   F1 0.49567987810157055   accuracy 0.6095360824742269   precision 0.5041266898243811   recall 0.5152326253210974
deviation 1/5   iterations 1000/2000   F1 0.49552423977064713   accuracy 0.5914948453608248   precision 0.5291633889287318   recall 0.5198213296167679
deviation 1/5   iterations 1010/2000   F1 0.4720927437672436   accuracy 0.5425257731958762   precision 0.5248895476285543   recall 0.5041254772435689
deviation 1/5   iterations 1020/2000   F1 0.46221760728387445   accuracy 0.5412371134020618   precision 0.5044174171763233   recall 0.483033113181389
deviation 1/5   iterations 1030/2000   F1 0.48243814998565965   accuracy 0.5798969072164949   precision 0.5062638277923753   recall 0.499115687057696
deviation 1/5   iterations 1040/2000   F1 0.48483687841046264   accuracy 0.5824742268041238   precision 0.5171569788770363   recall 0.5007764559975016
deviation 1/5   iterations 1050/2000   F1 0.494997827722079   accuracy 0.5876288659793815   precision 0.5194008065486938   recall 0.5164250776964949
deviation 1/5   iterations 1060/2000   F1 0.4967894014631768   accuracy 0.6082474226804123   precision 0.512139284863743   recall 0.5088994805032998
deviation 1/5   iterations 1070/2000   F1 0.48685268073666554   accuracy 0.5889175257731959   precision 0.5114075653232356   recall 0.5004287812328102
deviation 1/5   iterations 1080/2000   F1 0.5031137779395479   accuracy 0.5992268041237113   precision 0.5275411690359993   recall 0.5281722828417068
deviation 1/5   iterations 1090/2000   F1 0.494662357102105   accuracy 0.5786082474226805   precision 0.5298640832101263   recall 0.5251143409834811
deviation 1/5   iterations 1100/2000   F1 0.4878704407209778   accuracy 0.5721649484536082   precision 0.5118507814705932   recall 0.5158557444918244
deviation 1/5   iterations 1110/2000   F1 0.4947304459845103   accuracy 0.5927835051546392   precision 0.5170426401123452   recall 0.5140383814373678
deviation 1/5   iterations 1120/2000   F1 0.4713321311026369   accuracy 0.5412371134020618   precision 0.5128820052733096   recall 0.5013460742148613
deviation 1/5   iterations 1130/2000   F1 0.5018602495253325   accuracy 0.6030927835051546   precision 0.5185029800552726   recall 0.5211959865327432
deviation 1/5   iterations 1140/2000   F1 0.49182178608389293   accuracy 0.5992268041237113   precision 0.5038064181941283   recall 0.5091189402739623
deviation 1/5   iterations 1150/2000   F1 0.47615405006374933   accuracy 0.5463917525773195   precision 0.5187886876180023   recall 0.5104017416718274
deviation 1/5   iterations 1160/2000   F1 0.4876136195091205   accuracy 0.5695876288659794   precision 0.5352018541715965   recall 0.5151204524698589
deviation 1/5   iterations 1170/2000   F1 0.48950763377409096   accuracy 0.586340206185567   precision 0.510097766364363   recall 0.5085852743715368
deviation 1/5   iterations 1180/2000   F1 0.510061184407881   accuracy 0.6185567010309279   precision 0.5286133516457437   recall 0.5270108154172322
deviation 1/5   iterations 1190/2000   F1 0.4861849406981416   accuracy 0.5786082474226805   precision 0.5091637441451285   recall 0.5071974661557611
deviation 1/5   iterations 1200/2000   F1 0.4810811789433295   accuracy 0.5670103092783505   precision 0.5110236823343944   recall 0.5037349691433048
deviation 1/5   iterations 1210/2000   F1 0.4895491727497259   accuracy 0.5734536082474226   precision 0.519125274455504   recall 0.5195865198769886
deviation 1/5   iterations 1220/2000   F1 0.48910950440125495   accuracy 0.5992268041237113   precision 0.5023223524729549   recall 0.5031071676212555
deviation 1/5   iterations 1230/2000   F1 0.48459092861087427   accuracy 0.5734536082474226   precision 0.5157670891742914   recall 0.5082367038526794
deviation 1/5   iterations 1240/2000   F1 0.472167321143206   accuracy 0.5541237113402062   precision 0.5111137412232652   recall 0.49614561053993206
deviation 1/5   iterations 1250/2000   F1 0.4708750617811637   accuracy 0.5605670103092784   precision 0.5000552486855921   recall 0.4906449877872063
deviation 1/5   iterations 1260/2000   F1 0.49802788111122503   accuracy 0.6082474226804123   precision 0.50773911128661   recall 0.5150038008477906
deviation 1/5   iterations 1270/2000   F1 0.47844213951596504   accuracy 0.5682989690721649   precision 0.5053911041317268   recall 0.5028014304379709
deviation 1/5   iterations 1280/2000   F1 0.48386806475357275   accuracy 0.5631443298969072   precision 0.5276229406664189   recall 0.5178595058449995
deviation 1/5   iterations 1290/2000   F1 0.47498922813738503   accuracy 0.5618556701030928   precision 0.503102924671552   recall 0.49648949870746745
deviation 1/5   iterations 1300/2000   F1 0.47081275389129895   accuracy 0.5451030927835051   precision 0.5167150507259168   recall 0.5001705597364202
deviation 1/5   iterations 1310/2000   F1 0.47842040179204925   accuracy 0.5554123711340206   precision 0.5150395210096703   recall 0.5108560111822693
deviation 1/5   iterations 1320/2000   F1 0.47943073136104886   accuracy 0.5747422680412371   precision 0.5092836994650737   recall 0.49929610008994185
deviation 1/5   iterations 1330/2000   F1 0.4747040840074117   accuracy 0.5463917525773195   precision 0.5166510903426791   recall 0.505063698300225
deviation 1/5   iterations 1340/2000   F1 0.47935779669795014   accuracy 0.5579896907216495   precision 0.5303870543340617   recall 0.5116579554574027
deviation 1/5   iterations 1350/2000   F1 0.48676400759734095   accuracy 0.5786082474226805   precision 0.5116283377064361   recall 0.5090076631768898
deviation 1/5   iterations 1360/2000   F1 0.49974959880555475   accuracy 0.5979381443298969   precision 0.5151766047118663   recall 0.5217724857707414
deviation 1/5   iterations 1370/2000   F1 0.4921892189218922   accuracy 0.5824742268041238   precision 0.5239199709042682   recall 0.5174643153934132
deviation 1/5   iterations 1380/2000   F1 0.46177994852686943   accuracy 0.529639175257732   precision 0.5232487568306464   recall 0.49205689993326635
deviation 1/5   iterations 1390/2000   F1 0.4844550883028454   accuracy 0.5618556701030928   precision 0.5144767325597842   recall 0.5158463797891802
deviation 1/5   iterations 1400/2000   F1 0.49068916836050214   accuracy 0.5798969072164949   precision 0.5172704700637661   recall 0.5177988388583042
deviation 1/5   iterations 1410/2000   F1 0.4585033529355158   accuracy 0.5231958762886598   precision 0.5147364428554524   recall 0.4920343839308217
deviation 1/5   iterations 1420/2000   F1 0.4616203879653855   accuracy 0.529639175257732   precision 0.5162438958076045   recall 0.4946333739272835
deviation 1/5   iterations 1430/2000   F1 0.4668857706691089   accuracy 0.5283505154639175   precision 0.5259607614258778   recall 0.5089120210616235
deviation 1/5   iterations 1440/2000   F1 0.474680469587079   accuracy 0.5476804123711341   precision 0.5263961487256832   recall 0.5131811447005351
deviation 1/5   iterations 1450/2000   F1 0.47988498072974356   accuracy 0.5631443298969072   precision 0.5190060699987086   recall 0.5108038131440523
deviation 1/5   iterations 1460/2000   F1 0.4753861754274069   accuracy 0.5579896907216495   precision 0.5068747021200438   recall 0.5033732473246469
deviation 1/5   iterations 1470/2000   F1 0.4755348619052307   accuracy 0.5579896907216495   precision 0.5130409795783074   recall 0.5053685397293438
deviation 1/5   iterations 1480/2000   F1 0.4666968253120188   accuracy 0.5360824742268041   precision 0.5095874506607937   recall 0.5022927642199956
deviation 1/5   iterations 1490/2000   F1 0.4978312190612719   accuracy 0.586340206185567   precision 0.5314383305707524   recall 0.5293562662686261
deviation 1/5   iterations 1500/2000   F1 0.4714053817583787   accuracy 0.5412371134020618   precision 0.5168191394163935   recall 0.5023899942631017
deviation 1/5   iterations 1510/2000   F1 0.4888797975525099   accuracy 0.5824742268041238   precision 0.5137432527192968   recall 0.5084133302877691
deviation 1/5   iterations 1520/2000   F1 0.47344471610975275   accuracy 0.5373711340206185   precision 0.5204689873954238   recall 0.5144266908683156
deviation 1/5   iterations 1530/2000   F1 0.4793007363571111   accuracy 0.5451030927835051   precision 0.5346461018996577   recall 0.5249580318815195
deviation 1/5   iterations 1540/2000   F1 0.4603128241539655   accuracy 0.5115979381443299   precision 0.5452249634076494   recall 0.5125005343987922
deviation 1/5   iterations 1550/2000   F1 0.46305013513277055   accuracy 0.529639175257732   precision 0.5120171987668685   recall 0.4944482785437154
deviation 1/5   iterations 1560/2000   F1 0.4924248110879723   accuracy 0.5837628865979382   precision 0.5164599828515798   recall 0.5189221552985285
deviation 1/5   iterations 1570/2000   F1 0.47412189442197117   accuracy 0.5502577319587629   precision 0.510723490622005   recall 0.5044693654111043
deviation 1/5   iterations 1580/2000   F1 0.4750603229919316   accuracy 0.5412371134020618   precision 0.5268360498530005   recall 0.5112558839851777
deviation 1/5   iterations 1590/2000   F1 0.47370998871772835   accuracy 0.5399484536082474   precision 0.5266419838069134   recall 0.5097054963882784
deviation 1/5   iterations 1600/2000   F1 0.47125382434216895   accuracy 0.5451030927835051   precision 0.5140266468551719   recall 0.5027470337304374
deviation 1/5   iterations 1610/2000   F1 0.47392110122840486   accuracy 0.5541237113402062   precision 0.5099483836490534   recall 0.4994883615068377
deviation 1/5   iterations 1620/2000   F1 0.4649068797964895   accuracy 0.538659793814433   precision 0.5098689991213355   recall 0.49223352636835616
deviation 1/5   iterations 1630/2000   F1 0.48675638957952944   accuracy 0.5747422680412371   precision 0.51330808348967   recall 0.5131298424164842
deviation 1/5   iterations 1640/2000   F1 0.4799248451200109   accuracy 0.5579896907216495   precision 0.5184034475156124   recall 0.5113803123820505
deviation 1/5   iterations 1650/2000   F1 0.49819341080882634   accuracy 0.6069587628865979   precision 0.5078756268945089   recall 0.516888711909581
deviation 1/5   iterations 1660/2000   F1 0.4820658322335116   accuracy 0.5605670103092784   precision 0.5157890006090905   recall 0.5134371675276085
deviation 1/5   iterations 1670/2000   F1 0.47582605940137696   accuracy 0.5489690721649485   precision 0.5301017290341133   recall 0.5112036859469608
deviation 1/5   iterations 1680/2000   F1 0.47181253546281593   accuracy 0.5476804123711341   precision 0.5162945130321713   recall 0.5015536856008739
deviation 1/5   iterations 1690/2000   F1 0.47643695435490496   accuracy 0.5554123711340206   precision 0.5105000711524667   recall 0.5072356171400116
deviation 1/5   iterations 1700/2000   F1 0.4963837445586039   accuracy 0.595360824742268   precision 0.5107857589976118   recall 0.5206670029816399
deviation 1/5   iterations 1710/2000   F1 0.4924099468050985   accuracy 0.5850515463917526   precision 0.5107104041227889   recall 0.5184772504907308
deviation 1/5   iterations 1720/2000   F1 0.4591270746355052   accuracy 0.520618556701031   precision 0.5163845773029893   recall 0.49494538138973
deviation 1/5   iterations 1730/2000   F1 0.48150167441169733   accuracy 0.5567010309278351   precision 0.5382848083432309   recall 0.5126840418545205
deviation 1/5   iterations 1740/2000   F1 0.46158883004333173   accuracy 0.5193298969072165   precision 0.5212120554421298   recall 0.5039785328442515
deviation 1/5   iterations 1750/2000   F1 0.48453406225611273   accuracy 0.5631443298969072   precision 0.5287868714402855   recall 0.5169081334885431
deviation 1/5   iterations 1760/2000   F1 0.46023199961566913   accuracy 0.5167525773195877   precision 0.5249526214390084   recall 0.5116463920854419
deviation 1/5   iterations 1770/2000   F1 0.47824099008128557   accuracy 0.5502577319587629   precision 0.5304276415604007   recall 0.5234301602870648
deviation 1/5   iterations 1780/2000   F1 0.47371006886151706   accuracy 0.5399484536082474   precision 0.5216461803418325   recall 0.517712561445682
deviation 1/5   iterations 1790/2000   F1 0.4635255412788652   accuracy 0.538659793814433   precision 0.5047671352301851   recall 0.49137470170368375
deviation 1/5   iterations 1800/2000   F1 0.4681842365681918   accuracy 0.5528350515463918   precision 0.5004286738514544   recall 0.49088228120899124
deviation 1/5   iterations 1810/2000   F1 0.46407943057292483   accuracy 0.538659793814433   precision 0.5075128405335462   recall 0.49042332934722727
deviation 1/5   iterations 1820/2000   F1 0.46486278243698465   accuracy 0.5309278350515464   precision 0.5171047435472308   recall 0.5040982788898023
deviation 1/5   iterations 1830/2000   F1 0.47972627576260934   accuracy 0.5554123711340206   precision 0.5264244306624072   recall 0.5145689529163109
deviation 1/5   iterations 1840/2000   F1 0.47110197400231746   accuracy 0.5373711340206185   precision 0.5258472567185407   recall 0.5110839399014101
deviation 1/5   iterations 1850/2000   F1 0.489667191851511   accuracy 0.5721649484536082   precision 0.5179721517994931   recall 0.5204275108905384
deviation 1/5   iterations 1860/2000   F1 0.48034318283469046   accuracy 0.5579896907216495   precision 0.5208594164214799   recall 0.5131905094031793
deviation 1/5   iterations 1870/2000   F1 0.4804072824216186   accuracy 0.5618556701030928   precision 0.5163129500749117   recall 0.5090683301635851
deviation 1/5   iterations 1880/2000   F1 0.47919138992620497   accuracy 0.5605670103092784   precision 0.5106340033492615   recall 0.505522650161989
deviation 1/5   iterations 1890/2000   F1 0.48709577157541056   accuracy 0.5760309278350515   precision 0.5110859083784914   recall 0.5120112083275822
deviation 1/5   iterations 1900/2000   F1 0.48075993928488936   accuracy 0.5695876288659794   precision 0.5054198716989414   recall 0.5059769196724309
deviation 1/5   iterations 1910/2000   F1 0.478989575833958   accuracy 0.5567010309278351   precision 0.5125451330042001   recall 0.5142165958002973
deviation 1/5   iterations 1920/2000   F1 0.48847496681645114   accuracy 0.5695876288659794   precision 0.5174653469513452   recall 0.5190443850260847
deviation 1/5   iterations 1930/2000   F1 0.4842946229283296   accuracy 0.5631443298969072   precision 0.5196986258786692   recall 0.5167230381049751
deviation 1/5   iterations 1940/2000   F1 0.4656617871113369   accuracy 0.5270618556701031   precision 0.5248897540592251   recall 0.5126996768363266
deviation 1/5   iterations 1950/2000   F1 0.47598894341763337   accuracy 0.5373711340206185   precision 0.530856777214778   recall 0.5233851282821756
deviation 1/5   iterations 1960/2000   F1 0.46249379652605455   accuracy 0.520618556701031   precision 0.5189578382010295   recall 0.5073391174622796
deviation 1/5   iterations 1970/2000   F1 0.46566738423649684   accuracy 0.5257731958762887   precision 0.5283123005267534   recall 0.5093390922182985
deviation 1/5   iterations 1980/2000   F1 0.46235336338963284   accuracy 0.5141752577319587   precision 0.5306884950283174   recall 0.5145573895443502
deviation 1/5   iterations 1990/2000   F1 0.4575505586764663   accuracy 0.5167525773195877   precision 0.524941637047501   recall 0.5010628530340212
deviation 1/5   iterations 2000/2000   F1 0.46263238405343704   accuracy 0.5270618556701031   precision 0.5180325908226228   recall 0.5038337871142505

deviation 2/5   iterations 10/2000   F1 0.17598782592254233   accuracy 0.21548387096774194   precision 0.3716073445016783   recall 0.37475593219950715
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deviation 2/5   iterations 20/2000   F1 0.4128682050886265   accuracy 0.5238709677419355   precision 0.43818943068636823   recall 0.4424355876174155
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deviation 2/5   iterations 30/2000   F1 0.35126525872897996   accuracy 0.4567741935483871   precision 0.4574199973892885   recall 0.42348596150973267
deviation 2/5   iterations 40/2000   F1 0.4181478949900003   accuracy 0.5303225806451612   precision 0.48391168808312707   recall 0.4483486838542104
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deviation 2/5   iterations 50/2000   F1 0.4676454736346522   accuracy 0.6116129032258064   precision 0.4786920669614028   recall 0.46751617723842465
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deviation 2/5   iterations 60/2000   F1 0.4602968408033277   accuracy 0.5858064516129032   precision 0.47760070214338507   recall 0.4642684576453087
deviation 2/5   iterations 70/2000   F1 0.43157743461210335   accuracy 0.5561290322580645   precision 0.48152164888538335   recall 0.447941420128122
deviation 2/5   iterations 80/2000   F1 0.4776814604393922   accuracy 0.6167741935483871   precision 0.49107517409178625   recall 0.47628134674865613
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deviation 2/5   iterations 90/2000   F1 0.4635906514174824   accuracy 0.5767741935483871   precision 0.4964451364805247   recall 0.4691449867046147
deviation 2/5   iterations 100/2000   F1 0.47099145601266496   accuracy 0.6   precision 0.4952029689690931   recall 0.472741719366331
deviation 2/5   iterations 110/2000   F1 0.4913698630136986   accuracy 0.6309677419354839   precision 0.513239339426084   recall 0.49193743813935614
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deviation 2/5   iterations 120/2000   F1 0.49634241006626656   accuracy 0.6206451612903225   precision 0.5069542784540814   recall 0.5011281156125015
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deviation 2/5   iterations 130/2000   F1 0.4979718778586493   accuracy 0.6051612903225806   precision 0.5093581780538302   recall 0.5103414552094169
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deviation 2/5   iterations 140/2000   F1 0.5031142246771215   accuracy 0.6348387096774194   precision 0.5156296576986232   recall 0.5070667374183079
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deviation 2/5   iterations 150/2000   F1 0.5211725993893438   accuracy 0.6464516129032258   precision 0.5210790958423127   recall 0.5297461236723636
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deviation 2/5   iterations 160/2000   F1 0.49015229223982537   accuracy 0.6116129032258064   precision 0.513154403503086   recall 0.4946821731225903
deviation 2/5   iterations 170/2000   F1 0.49550822371633124   accuracy 0.6232258064516129   precision 0.5236537552144028   recall 0.5028290838987819
deviation 2/5   iterations 180/2000   F1 0.4905044755003494   accuracy 0.5767741935483871   precision 0.5117424925454656   recall 0.5119002329862674
deviation 2/5   iterations 190/2000   F1 0.5386105750381595   accuracy 0.6941935483870968   precision 0.545211928403869   recall 0.5341668740619149
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deviation 2/5   iterations 200/2000   F1 0.4962296531280878   accuracy 0.5870967741935483   precision 0.5212212666634999   recall 0.5139684585779739
deviation 2/5   iterations 210/2000   F1 0.5262621599533593   accuracy 0.6490322580645161   precision 0.5265540000763006   recall 0.5355231653538179
deviation 2/5   iterations 220/2000   F1 0.5211171096345515   accuracy 0.6335483870967742   precision 0.5241916078997538   recall 0.5351461723345702
deviation 2/5   iterations 230/2000   F1 0.5207821713214952   accuracy 0.632258064516129   precision 0.5308834197389611   recall 0.534581746371074
deviation 2/5   iterations 240/2000   F1 0.5187553875737683   accuracy 0.6361290322580645   precision 0.5318182890646659   recall 0.5287982414846456
deviation 2/5   iterations 250/2000   F1 0.5202927963638285   accuracy 0.6374193548387097   precision 0.5247550731754439   recall 0.531960875847723
deviation 2/5   iterations 260/2000   F1 0.5188495274036352   accuracy 0.6374193548387097   precision 0.5194959531393933   recall 0.5309676694124653
deviation 2/5   iterations 270/2000   F1 0.5159894509793649   accuracy 0.6335483870967742   precision 0.533933283159315   recall 0.5220915618522989
deviation 2/5   iterations 280/2000   F1 0.5321475013037031   accuracy 0.6645161290322581   precision 0.5294410539058857   recall 0.5401033687369703
deviation 2/5   iterations 290/2000   F1 0.519404340520496   accuracy 0.6335483870967742   precision 0.532512857594205   recall 0.5290201175845154
deviation 2/5   iterations 300/2000   F1 0.5340638222184528   accuracy 0.6580645161290323   precision 0.5311084528123068   recall 0.5454969541942029
deviation 2/5   iterations 310/2000   F1 0.5225984623291844   accuracy 0.6593548387096774   precision 0.535815405784446   recall 0.524536780463253
deviation 2/5   iterations 320/2000   F1 0.5392945558486453   accuracy 0.6593548387096774   precision 0.535291241084692   recall 0.5573838517069161
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deviation 2/5   iterations 330/2000   F1 0.5281069118147769   accuracy 0.6477419354838709   precision 0.5316713800313322   recall 0.5399644507363881
deviation 2/5   iterations 340/2000   F1 0.5233989073057758   accuracy 0.6258064516129033   precision 0.5342237842457708   recall 0.5423192662904263
deviation 2/5   iterations 350/2000   F1 0.5368332188139361   accuracy 0.6606451612903226   precision 0.5372346306423531   recall 0.5477461495251835
deviation 2/5   iterations 360/2000   F1 0.5366001682649069   accuracy 0.655483870967742   precision 0.5365959179518501   recall 0.551105952546331
deviation 2/5   iterations 370/2000   F1 0.5192299983966651   accuracy 0.6296774193548387   precision 0.5232262626497931   recall 0.5372746939017943
deviation 2/5   iterations 380/2000   F1 0.5195966945711424   accuracy 0.6335483870967742   precision 0.5374748561333543   recall 0.5290836860688808
deviation 2/5   iterations 390/2000   F1 0.525428601166727   accuracy 0.6477419354838709   precision 0.5249654587023943   recall 0.5466387325311433
deviation 2/5   iterations 400/2000   F1 0.5348260775965056   accuracy 0.6529032258064517   precision 0.5432474933360864   recall 0.546449254268865
deviation 2/5   iterations 410/2000   F1 0.5432360897520817   accuracy 0.672258064516129   precision 0.5400069794519642   recall 0.5539066474308596
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deviation 2/5   iterations 420/2000   F1 0.5336224430157802   accuracy 0.6490322580645161   precision 0.5319741194840695   recall 0.5519784852178321
deviation 2/5   iterations 430/2000   F1 0.5220634356572411   accuracy 0.6309677419354839   precision 0.5359714254105227   recall 0.536424823354063
deviation 2/5   iterations 440/2000   F1 0.5333733353572048   accuracy 0.6490322580645161   precision 0.5310381382379931   recall 0.5527809861999938
deviation 2/5   iterations 450/2000   F1 0.5281813883157341   accuracy 0.6503225806451612   precision 0.5301450225395333   recall 0.5396154376677876
deviation 2/5   iterations 460/2000   F1 0.5202303556541291   accuracy 0.6374193548387097   precision 0.5244976758134653   recall 0.5326998083455193
deviation 2/5   iterations 470/2000   F1 0.5342138637245003   accuracy 0.655483870967742   precision 0.5329058769138723   recall 0.5475781061958575
deviation 2/5   iterations 480/2000   F1 0.5267178046957879   accuracy 0.6374193548387097   precision 0.5289224319216629   recall 0.5458179873121559
deviation 2/5   iterations 490/2000   F1 0.5212803712803713   accuracy 0.6412903225806451   precision 0.525619787597206   recall 0.5330423582091458
deviation 2/5   iterations 500/2000   F1 0.5239825426175332   accuracy 0.6412903225806451   precision 0.5264099461027492   recall 0.5391684129592005
deviation 2/5   iterations 510/2000   F1 0.5257528894664643   accuracy 0.6425806451612903   precision 0.5317115798345421   recall 0.5389939064249002
deviation 2/5   iterations 520/2000   F1 0.5286561647209446   accuracy 0.64   precision 0.5363495520686494   recall 0.5447300417457591
deviation 2/5   iterations 530/2000   F1 0.5356658542950273   accuracy 0.6593548387096774   precision 0.5349708415401846   recall 0.5487867255260107
deviation 2/5   iterations 540/2000   F1 0.5418196981571913   accuracy 0.6683870967741935   precision 0.5387572416488581   recall 0.5544937355181258
deviation 2/5   iterations 550/2000   F1 0.5257414459190515   accuracy 0.6309677419354839   precision 0.5365015284423179   recall 0.5442830170371719
deviation 2/5   iterations 560/2000   F1 0.5304999009759217   accuracy 0.6438709677419355   precision 0.5312486682540826   recall 0.5492122334889248
deviation 2/5   iterations 570/2000   F1 0.5380620880620881   accuracy 0.6516129032258065   precision 0.540114454687319   recall 0.5552208869840706
deviation 2/5   iterations 580/2000   F1 0.5236256042895776   accuracy 0.6361290322580645   precision 0.5251060956790123   recall 0.5424646474959826
deviation 2/5   iterations 590/2000   F1 0.5268339799329094   accuracy 0.6361290322580645   precision 0.5362843406451155   recall 0.5425917844647133
deviation 2/5   iterations 600/2000   F1 0.5412178983537538   accuracy 0.6593548387096774   precision 0.5404044001266224   recall 0.5566449192091197
deviation 2/5   iterations 610/2000   F1 0.5448130853323615   accuracy 0.6748387096774193   precision 0.5407743179675649   recall 0.5569583437440021
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deviation 2/5   iterations 620/2000   F1 0.5402629646780565   accuracy 0.6658064516129032   precision 0.5391058103051695   recall 0.5521809717027796
deviation 2/5   iterations 630/2000   F1 0.5404933480655042   accuracy 0.6541935483870968   precision 0.5394814579073445   recall 0.5608072232124289
deviation 2/5   iterations 640/2000   F1 0.5551783623589955   accuracy 0.6980645161290323   precision 0.55079048174448   recall 0.5622872153387726
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deviation 2/5   iterations 650/2000   F1 0.5408884944345737   accuracy 0.6490322580645161   precision 0.5422606168597005   recall 0.5616959548027257
deviation 2/5   iterations 660/2000   F1 0.5313722850105745   accuracy 0.64   precision 0.537467686952223   recall 0.5489968205940291
deviation 2/5   iterations 670/2000   F1 0.5478607586159073   accuracy 0.68   precision 0.5452359863803675   recall 0.5563238860911666
deviation 2/5   iterations 680/2000   F1 0.5256768201349049   accuracy 0.6374193548387097   precision 0.5273632336993844   recall 0.5499576291916952
deviation 2/5   iterations 690/2000   F1 0.5303626896493965   accuracy 0.6503225806451612   precision 0.5342955954946482   recall 0.5422136460673688
deviation 2/5   iterations 700/2000   F1 0.5386700425004817   accuracy 0.6683870967741935   precision 0.5343882171468378   recall 0.5542394615806643
deviation 2/5   iterations 710/2000   F1 0.5526923859421992   accuracy 0.6748387096774193   precision 0.5483815131713908   recall 0.5683443837775846
deviation 2/5   iterations 720/2000   F1 0.5281462236941784   accuracy 0.6193548387096774   precision 0.5464956583377636   recall 0.5539660434664442
deviation 2/5   iterations 730/2000   F1 0.5463492422129028   accuracy 0.6903225806451613   precision 0.5416524351390252   recall 0.5563421303279921
deviation 2/5   iterations 740/2000   F1 0.5322642243472874   accuracy 0.6645161290322581   precision 0.528912287806689   recall 0.5443701475852403
deviation 2/5   iterations 750/2000   F1 0.5320260007914224   accuracy 0.6451612903225806   precision 0.5373848943550931   recall 0.5465030870394086
deviation 2/5   iterations 760/2000   F1 0.5305353718646643   accuracy 0.6541935483870968   precision 0.5297513542756672   recall 0.5458297683440074
deviation 2/5   iterations 770/2000   F1 0.5573022884397355   accuracy 0.6838709677419355   precision 0.5552266395356392   recall 0.5671864065218483
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deviation 2/5   iterations 780/2000   F1 0.5391011379226976   accuracy 0.6593548387096774   precision 0.5361791897496578   recall 0.5599184916221319
deviation 2/5   iterations 790/2000   F1 0.5486374470921933   accuracy 0.6787096774193548   precision 0.5449643423983829   recall 0.5598991020072096
deviation 2/5   iterations 800/2000   F1 0.5282061480364589   accuracy 0.6438709677419355   precision 0.5288801420455397   recall 0.5448183176719241
deviation 2/5   iterations 810/2000   F1 0.5377445309707879   accuracy 0.672258064516129   precision 0.5343673507481806   recall 0.5519202345603441
deviation 2/5   iterations 820/2000   F1 0.5284130809675535   accuracy 0.6567741935483871   precision 0.5255008390685649   recall 0.5462196877732034
deviation 2/5   iterations 830/2000   F1 0.5491362372903209   accuracy 0.672258064516129   precision 0.5478964726448383   recall 0.5618284095983339
deviation 2/5   iterations 840/2000   F1 0.527706312031531   accuracy 0.6361290322580645   precision 0.531220159789212   recall 0.5493932032281991
deviation 2/5   iterations 850/2000   F1 0.5527167631203818   accuracy 0.7109677419354838   precision 0.5535536174406592   recall 0.5611539455248359
deviation 2/5   iterations 860/2000   F1 0.5387958205444248   accuracy 0.6683870967741935   precision 0.5366374976726866   recall 0.5585062404289344
deviation 2/5   iterations 870/2000   F1 0.5363670826198944   accuracy 0.64   precision 0.5499916212642456   recall 0.5544475113306527
deviation 2/5   iterations 880/2000   F1 0.5252898051117317   accuracy 0.6529032258064517   precision 0.523667080661009   recall 0.5441449989765229
deviation 2/5   iterations 890/2000   F1 0.5403311898034596   accuracy 0.6619354838709678   precision 0.5382775218692032   recall 0.5553662681896268
deviation 2/5   iterations 900/2000   F1 0.5457906739053425   accuracy 0.6787096774193548   precision 0.5412562518387761   recall 0.560638034505006
deviation 2/5   iterations 910/2000   F1 0.536321281351364   accuracy 0.6645161290322581   precision 0.5330639730639731   recall 0.5538969117170379
deviation 2/5   iterations 920/2000   F1 0.5494267612267228   accuracy 0.6812903225806451   precision 0.5449768810424548   recall 0.5604161584051363
deviation 2/5   iterations 930/2000   F1 0.5338061449334501   accuracy 0.6619354838709678   precision 0.5303951367781155   recall 0.5507816469195301
deviation 2/5   iterations 940/2000   F1 0.5466109389571804   accuracy 0.655483870967742   precision 0.5473663185527592   recall 0.5660198389303871
deviation 2/5   iterations 950/2000   F1 0.5267089392484996   accuracy 0.6464516129032258   precision 0.5264574579831932   recall 0.5452082371011201
deviation 2/5   iterations 960/2000   F1 0.5387306366890829   accuracy 0.6787096774193548   precision 0.5345060512243175   recall 0.5518502028710047
deviation 2/5   iterations 970/2000   F1 0.5308526014804041   accuracy 0.6516129032258065   precision 0.5334430021694053   recall 0.5428416405152303
deviation 2/5   iterations 980/2000   F1 0.5164856651010562   accuracy 0.6129032258064516   precision 0.5309820918270146   recall 0.5371357759012122
deviation 2/5   iterations 990/2000   F1 0.528470995575661   accuracy 0.6593548387096774   precision 0.5258208699247732   recall 0.541603895856333
deviation 2/5   iterations 1000/2000   F1 0.5270071543363469   accuracy 0.6774193548387096   precision 0.5246677281244235   recall 0.543109740802573
deviation 2/5   iterations 1010/2000   F1 0.5330513370544616   accuracy 0.6696774193548387   precision 0.5292489674068621   recall 0.5453406918967282
deviation 2/5   iterations 1020/2000   F1 0.5367199598597568   accuracy 0.655483870967742   precision 0.5358996016613394   recall 0.551972022012858
deviation 2/5   iterations 1030/2000   F1 0.5287676624242771   accuracy 0.6632258064516129   precision 0.5257640044736819   recall 0.542748946702121
deviation 2/5   iterations 1040/2000   F1 0.5342151589839589   accuracy 0.6774193548387096   precision 0.5326946030980283   recall 0.5501654335035201
deviation 2/5   iterations 1050/2000   F1 0.5353230282974231   accuracy 0.6658064516129032   precision 0.5318104466772889   recall 0.5502581273166295
deviation 2/5   iterations 1060/2000   F1 0.5389349343884821   accuracy 0.6529032258064517   precision 0.5398807301870153   recall 0.5567149508984591
deviation 2/5   iterations 1070/2000   F1 0.5394942701234299   accuracy 0.6683870967741935   precision 0.5356790356790357   recall 0.5543030300650297
deviation 2/5   iterations 1080/2000   F1 0.5248458545748553   accuracy 0.6580645161290323   precision 0.5242515698982505   recall 0.5450519748036454
deviation 2/5   iterations 1090/2000   F1 0.5299082940530682   accuracy 0.6451612903225806   precision 0.532235002278173   recall 0.5465030870394086
deviation 2/5   iterations 1100/2000   F1 0.5303998842133515   accuracy 0.6593548387096774   precision 0.5276308070773016   recall 0.5459342431889683
deviation 2/5   iterations 1110/2000   F1 0.5261972310957624   accuracy 0.6541935483870968   precision 0.524534927833924   recall 0.5414358525270068
deviation 2/5   iterations 1120/2000   F1 0.5289167426236364   accuracy 0.6425806451612903   precision 0.530020102449026   recall 0.5484571020723326
deviation 2/5   iterations 1130/2000   F1 0.5327130411301396   accuracy 0.6541935483870968   precision 0.5311249417278504   recall 0.5536243935427511
deviation 2/5   iterations 1140/2000   F1 0.5291862534317365   accuracy 0.6619354838709678   precision 0.5254256752445968   recall 0.5429234532364212
deviation 2/5   iterations 1150/2000   F1 0.5235749638611683   accuracy 0.6425806451612903   precision 0.523245523834452   recall 0.5439360492866013
deviation 2/5   iterations 1160/2000   F1 0.5189291673551358   accuracy 0.6387096774193548   precision 0.5201530041302976   recall 0.5349328047577043
deviation 2/5   iterations 1170/2000   F1 0.536627371779708   accuracy 0.6658064516129032   precision 0.5346529999605009   recall 0.5571231145644806
deviation 2/5   iterations 1180/2000   F1 0.5408102255721171   accuracy 0.6658064516129032   precision 0.5367459242264104   recall 0.5589823904662654
deviation 2/5   iterations 1190/2000   F1 0.5404223023505693   accuracy 0.6632258064516129   precision 0.540893609808219   recall 0.5517274837892184
deviation 2/5   iterations 1200/2000   F1 0.5331565199362115   accuracy 0.6529032258064517   precision 0.5331218084131987   recall 0.5563971084766325
deviation 2/5   iterations 1210/2000   F1 0.5448027162268113   accuracy 0.6761290322580645   precision 0.5402445507708665   recall 0.5575863381918637
deviation 2/5   iterations 1220/2000   F1 0.5296175121107404   accuracy 0.6464516129032258   precision 0.5301683198599904   recall 0.5521367928333366
deviation 2/5   iterations 1230/2000   F1 0.5380888757932049   accuracy 0.6606451612903226   precision 0.5348884389441376   recall 0.5554136377551964
deviation 2/5   iterations 1240/2000   F1 0.5391686512794508   accuracy 0.6709677419354839   precision 0.534670877064751   recall 0.5555590189607527
deviation 2/5   iterations 1250/2000   F1 0.5323951334441981   accuracy 0.6503225806451612   precision 0.5310323521705635   recall 0.5542114816300171
deviation 2/5   iterations 1260/2000   F1 0.5453382892982443   accuracy 0.687741935483871   precision 0.542713849396427   recall 0.5600918527783355
deviation 2/5   iterations 1270/2000   F1 0.5275681904495274   accuracy 0.6529032258064517   precision 0.5268102996565498   recall 0.5493414157756852
deviation 2/5   iterations 1280/2000   F1 0.5501819030977478   accuracy 0.6825806451612904   precision 0.5448849409785613   recall 0.5627762917860518
deviation 2/5   iterations 1290/2000   F1 0.529696065002775   accuracy 0.6580645161290323   precision 0.5270673995319637   recall 0.5477773201719572
deviation 2/5   iterations 1300/2000   F1 0.5354770736830536   accuracy 0.6580645161290323   precision 0.5329474548440065   recall 0.5514323034911616
deviation 2/5   iterations 1310/2000   F1 0.5288898222711875   accuracy 0.6619354838709678   precision 0.530167327982621   recall 0.5514570109329612
deviation 2/5   iterations 1320/2000   F1 0.5558830587087713   accuracy 0.6812903225806451   precision 0.5533384262796027   recall 0.5674718511060834
deviation 2/5   iterations 1330/2000   F1 0.5346814925855664   accuracy 0.6658064516129032   precision 0.533485627425176   recall 0.5561934766135882
deviation 2/5   iterations 1340/2000   F1 0.5310006408752227   accuracy 0.6464516129032258   precision 0.5316567219356466   recall 0.5504682223846477
deviation 2/5   iterations 1350/2000   F1 0.5339329941998635   accuracy 0.6503225806451612   precision 0.5339869281045752   recall 0.5517404101991665
deviation 2/5   iterations 1360/2000   F1 0.5305793230971457   accuracy 0.6658064516129032   precision 0.5349248491242449   recall 0.5552002701783304
deviation 2/5   iterations 1370/2000   F1 0.5376074782571381   accuracy 0.6774193548387096   precision 0.5353658536585365   recall 0.5536932798539937
deviation 2/5   iterations 1380/2000   F1 0.542850358568801   accuracy 0.6632258064516129   precision 0.5405226924035481   recall 0.5586560395214349
deviation 2/5   iterations 1390/2000   F1 0.5257047448033179   accuracy 0.64   precision 0.526943306136539   recall 0.5470104077235135
deviation 2/5   iterations 1400/2000   F1 0.5375817086556934   accuracy 0.6580645161290323   precision 0.5345862174710113   recall 0.5549601498416351
deviation 2/5   iterations 1410/2000   F1 0.5439955311209941   accuracy 0.6787096774193548   precision 0.5397046209826287   recall 0.5588423270875865
deviation 2/5   iterations 1420/2000   F1 0.5486948847834114   accuracy 0.6761290322580645   precision 0.5438838342064148   recall 0.5662470328571342
deviation 2/5   iterations 1430/2000   F1 0.5295017561836967   accuracy 0.6412903225806451   precision 0.5291912192427263   recall 0.5546305263879568
deviation 2/5   iterations 1440/2000   F1 0.5402309466386884   accuracy 0.6567741935483871   precision 0.5370141068855722   recall 0.5603946416594631
deviation 2/5   iterations 1450/2000   F1 0.5500626097018123   accuracy 0.6696774193548387   precision 0.5450312175764968   recall 0.5681763404482584
deviation 2/5   iterations 1460/2000   F1 0.5205904699880604   accuracy 0.6180645161290322   precision 0.5257349902808863   recall 0.5502312927440789
deviation 2/5   iterations 1470/2000   F1 0.5450235484952068   accuracy 0.6632258064516129   precision 0.5425080019048892   recall 0.5621838858719085
deviation 2/5   iterations 1480/2000   F1 0.526374793402363   accuracy 0.6696774193548387   precision 0.5234550395840718   recall 0.5442203484927397
deviation 2/5   iterations 1490/2000   F1 0.5362593513130589   accuracy 0.6580645161290323   precision 0.5328767408444528   recall 0.5565651518059586
deviation 2/5   iterations 1500/2000   F1 0.5234718751504043   accuracy 0.6309677419354839   precision 0.5259336560168596   recall 0.5516962313297235
deviation 2/5   iterations 1510/2000   F1 0.5533083650726875   accuracy 0.6941935483870968   precision 0.5479944215745813   recall 0.5636768044082002
deviation 2/5   iterations 1520/2000   F1 0.5361486999707858   accuracy 0.6658064516129032   precision 0.5339630413020443   recall 0.5553909756314265
deviation 2/5   iterations 1530/2000   F1 0.5263836183981375   accuracy 0.6683870967741935   precision 0.5268186507897243   recall 0.5478591328931482
deviation 2/5   iterations 1540/2000   F1 0.5426427670524115   accuracy 0.6787096774193548   precision 0.538213380946105   recall 0.5571101881545325
deviation 2/5   iterations 1550/2000   F1 0.5244737989143399   accuracy 0.6580645161290323   precision 0.5233802438103513   recall 0.5441859053371183
deviation 2/5   iterations 1560/2000   F1 0.5266066479078808   accuracy 0.6412903225806451   precision 0.5280600031199333   recall 0.5493705411044292
deviation 2/5   iterations 1570/2000   F1 0.5330529338791569   accuracy 0.6632258064516129   precision 0.5299135470716559   recall 0.5505435719008646
deviation 2/5   iterations 1580/2000   F1 0.5295131029539455   accuracy 0.6516129032258065   precision 0.5285261556379107   recall 0.552177699193932
deviation 2/5   iterations 1590/2000   F1 0.5262730973281706   accuracy 0.6529032258064517   precision 0.5245723242274966   recall 0.545877137909577
deviation 2/5   iterations 1600/2000   F1 0.529764202505148   accuracy 0.6567741935483871   precision 0.5283174055850045   recall 0.5505500351058387
deviation 2/5   iterations 1610/2000   F1 0.5369980536028026   accuracy 0.6683870967741935   precision 0.5341124913925182   recall 0.555041962562826
deviation 2/5   iterations 1620/2000   F1 0.5128113561679163   accuracy 0.6270967741935484   precision 0.5155097271086492   recall 0.5347712246333521
deviation 2/5   iterations 1630/2000   F1 0.5305764960376173   accuracy 0.6567741935483871   precision 0.5294177439906083   recall 0.545480755275407
deviation 2/5   iterations 1640/2000   F1 0.5264351743348361   accuracy 0.6606451612903226   precision 0.5242682634396111   recall 0.545569031201572
deviation 2/5   iterations 1650/2000   F1 0.5369609093559189   accuracy 0.6709677419354839   precision 0.53283982401295   recall 0.5512286716281173
deviation 2/5   iterations 1660/2000   F1 0.5241379310344828   accuracy 0.6580645161290323   precision 0.522658902813542   recall 0.5433198358705913
deviation 2/5   iterations 1670/2000   F1 0.5216340184420641   accuracy 0.64   precision 0.5229422654503947   recall 0.5425529234221477
deviation 2/5   iterations 1680/2000   F1 0.5291735872333968   accuracy 0.6490322580645161   precision 0.5286154711742179   recall 0.5483235018986278
deviation 2/5   iterations 1690/2000   F1 0.5220300767741382   accuracy 0.6490322580645161   precision 0.5204048647991947   recall 0.5403381712467882
deviation 2/5   iterations 1700/2000   F1 0.5199060604694709   accuracy 0.6309677419354839   precision 0.5226411974776176   recall 0.5430355366644528
deviation 2/5   iterations 1710/2000   F1 0.5340591657664828   accuracy 0.6696774193548387   precision 0.5302463429695051   recall 0.5453406918967282
deviation 2/5   iterations 1720/2000   F1 0.5211337490851781   accuracy 0.632258064516129   precision 0.5246453069033714   recall 0.5437270995966796
deviation 2/5   iterations 1730/2000   F1 0.5260873215282104   accuracy 0.6348387096774194   precision 0.5293758504197609   recall 0.5469695013629181
deviation 2/5   iterations 1740/2000   F1 0.5261631279730827   accuracy 0.6180645161290322   precision 0.5358340726214378   recall 0.5540134130320138
deviation 2/5   iterations 1750/2000   F1 0.5226110051396174   accuracy 0.6219354838709678   precision 0.5294028926349164   recall 0.548841703674651
deviation 2/5   iterations 1760/2000   F1 0.53250009927927   accuracy 0.6477419354838709   precision 0.5329115287052856   recall 0.5537579937164557
deviation 2/5   iterations 1770/2000   F1 0.5244003505209367   accuracy 0.6464516129032258   precision 0.5242718872718872   recall 0.5459471695989164
deviation 2/5   iterations 1780/2000   F1 0.5206737000230636   accuracy 0.6387096774193548   precision 0.5219782320394897   recall 0.5401292215568666
deviation 2/5   iterations 1790/2000   F1 0.5174093819125526   accuracy 0.6361290322580645   precision 0.5206432529267174   recall 0.5335496788932507
deviation 2/5   iterations 1800/2000   F1 0.5168601484186722   accuracy 0.6296774193548387   precision 0.5216261085514083   recall 0.5396821968482794
deviation 2/5   iterations 1810/2000   F1 0.5323802697784283   accuracy 0.6529032258064517   precision 0.5311343312951317   recall 0.5512642601618354
deviation 2/5   iterations 1820/2000   F1 0.5189517966631438   accuracy 0.6361290322580645   precision 0.5205609952722917   recall 0.5370775252437242
deviation 2/5   iterations 1830/2000   F1 0.528396735293287   accuracy 0.6541935483870968   precision 0.5267582293210468   recall 0.5466322693261692
deviation 2/5   iterations 1840/2000   F1 0.5287779927114108   accuracy 0.6632258064516129   precision 0.5263631348310519   recall 0.5452835866173369
deviation 2/5   iterations 1850/2000   F1 0.5376958243323061   accuracy 0.6851612903225807   precision 0.5382182267428169   recall 0.5559833815455699
deviation 2/5   iterations 1860/2000   F1 0.5173175157447766   accuracy 0.6541935483870968   precision 0.5217963479021486   recall 0.5411180101051801
deviation 2/5   iterations 1870/2000   F1 0.5322655528055872   accuracy 0.6825806451612904   precision 0.5321879285320527   recall 0.5502063398641156
deviation 2/5   iterations 1880/2000   F1 0.5333335560023781   accuracy 0.6606451612903226   precision 0.5300840532250929   recall 0.5509561534538304
deviation 2/5   iterations 1890/2000   F1 0.5277803110908446   accuracy 0.6477419354838709   precision 0.5267417346625267   recall 0.5493005094150898
deviation 2/5   iterations 1900/2000   F1 0.5346652236924093   accuracy 0.655483870967742   precision 0.5328990490280813   recall 0.5543795249593432
deviation 2/5   iterations 1910/2000   F1 0.5251005495709015   accuracy 0.6451612903225806   precision 0.5257245248092465   recall 0.5487198845327979
deviation 2/5   iterations 1920/2000   F1 0.5356154925807382   accuracy 0.672258064516129   precision 0.532925241633793   recall 0.5518566660759788
deviation 2/5   iterations 1930/2000   F1 0.5175864009906563   accuracy 0.6438709677419355   precision 0.5227106227106227   recall 0.5435072688148397
deviation 2/5   iterations 1940/2000   F1 0.525327163319892   accuracy 0.632258064516129   precision 0.5293331988663398   recall 0.5473185144315186
deviation 2/5   iterations 1950/2000   F1 0.525709857104614   accuracy 0.6451612903225806   precision 0.5257923179503801   recall 0.5436506047023661
deviation 2/5   iterations 1960/2000   F1 0.5175786918426054   accuracy 0.6412903225806451   precision 0.5211872814622632   recall 0.5430537809012784
deviation 2/5   iterations 1970/2000   F1 0.5271197428795928   accuracy 0.6503225806451612   precision 0.5262224458852564   recall 0.5480218583955969
deviation 2/5   iterations 1980/2000   F1 0.5269742751323085   accuracy 0.64   precision 0.5274727854596009   recall 0.547940045674406
deviation 2/5   iterations 1990/2000   F1 0.5216245530212672   accuracy 0.6593548387096774   precision 0.5206728519020615   recall 0.5404835524523445
deviation 2/5   iterations 2000/2000   F1 0.5158484491756309   accuracy 0.6503225806451612   precision 0.5215186660651644   recall 0.5416415297080808

deviation 3/5   iterations 10/2000   F1 0.3057133816021272   accuracy 0.4198966408268734   precision 0.3537451737451738   recall 0.36622807502968396
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deviation 3/5   iterations 20/2000   F1 0.3859744282527268   accuracy 0.4573643410852713   precision 0.40575843550010915   recall 0.40950216840433334
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deviation 3/5   iterations 30/2000   F1 0.39526758159816894   accuracy 0.4418604651162791   precision 0.4370461849138055   recall 0.44609695828198137
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deviation 3/5   iterations 40/2000   F1 0.3980809263641885   accuracy 0.5025839793281653   precision 0.431004963865484   recall 0.4229242710846875
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deviation 3/5   iterations 50/2000   F1 0.4392191568305956   accuracy 0.5684754521963824   precision 0.44040809490454186   recall 0.44448324964118174
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deviation 3/5   iterations 60/2000   F1 0.4222076513714604   accuracy 0.5335917312661499   precision 0.45471432996920863   recall 0.44474407795122334
deviation 3/5   iterations 70/2000   F1 0.4440425318637691   accuracy 0.582687338501292   precision 0.45468054371507055   recall 0.44785098050211025
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deviation 3/5   iterations 80/2000   F1 0.439352946348947   accuracy 0.5478036175710594   precision 0.46576859600965403   recall 0.45475733539142976
deviation 3/5   iterations 90/2000   F1 0.4586903550475207   accuracy 0.5878552971576227   precision 0.47955257983952393   recall 0.4655932493386652
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deviation 3/5   iterations 100/2000   F1 0.44065516923494713   accuracy 0.5542635658914729   precision 0.46961311673089606   recall 0.44757523132064714
deviation 3/5   iterations 110/2000   F1 0.4576342875670509   accuracy 0.599483204134367   precision 0.463738353499773   recall 0.4573173306167509
deviation 3/5   iterations 120/2000   F1 0.4657870210054355   accuracy 0.5904392764857881   precision 0.47611026551665825   recall 0.46909797347511767
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deviation 3/5   iterations 130/2000   F1 0.469185760760823   accuracy 0.5749354005167958   precision 0.48964356048647756   recall 0.4830765754698086
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deviation 3/5   iterations 140/2000   F1 0.4688133543695676   accuracy 0.6175710594315246   precision 0.4724960425034759   recall 0.4686807219635802
deviation 3/5   iterations 150/2000   F1 0.4680418933881414   accuracy 0.599483204134367   precision 0.4890844175592523   recall 0.4762212958711243
deviation 3/5   iterations 160/2000   F1 0.46925008487242575   accuracy 0.5736434108527132   precision 0.48462106263491195   recall 0.48297667941581346
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deviation 3/5   iterations 170/2000   F1 0.47196252736403865   accuracy 0.603359173126615   precision 0.482637680006101   recall 0.47343408528786496
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deviation 3/5   iterations 180/2000   F1 0.45302098862963486   accuracy 0.5775193798449613   precision 0.4947510620705386   recall 0.4673057062741199
deviation 3/5   iterations 190/2000   F1 0.4850937489470282   accuracy 0.6214470284237726   precision 0.49298943123664846   recall 0.4865267400462006
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deviation 3/5   iterations 200/2000   F1 0.4864278663373159   accuracy 0.6124031007751938   precision 0.4965239068499938   recall 0.49145821102522863
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deviation 3/5   iterations 210/2000   F1 0.48360042605185943   accuracy 0.6201550387596899   precision 0.4892463074984555   recall 0.48669837105895314
deviation 3/5   iterations 220/2000   F1 0.48669689587018716   accuracy 0.6046511627906976   precision 0.5002248057749549   recall 0.49528553751906407
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deviation 3/5   iterations 230/2000   F1 0.48681785438962705   accuracy 0.599483204134367   precision 0.5086603410956859   recall 0.4997699972265215
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deviation 3/5   iterations 240/2000   F1 0.4921539946214246   accuracy 0.6175710594315246   precision 0.5039217522190795   recall 0.49868913585937125
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deviation 3/5   iterations 250/2000   F1 0.5008198013283166   accuracy 0.627906976744186   precision 0.5105891509276986   recall 0.5068270365206364
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deviation 3/5   iterations 260/2000   F1 0.476370973978219   accuracy 0.6085271317829457   precision 0.4994012656507973   recall 0.4818690506611955
deviation 3/5   iterations 270/2000   F1 0.4934376123696513   accuracy 0.6124031007751938   precision 0.4980186042921105   recall 0.5086829633736057
deviation 3/5   iterations 280/2000   F1 0.5033616627243779   accuracy 0.6343669250645995   precision 0.5084561015819565   recall 0.5093595265131997
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deviation 3/5   iterations 290/2000   F1 0.5061616786140862   accuracy 0.6188630490956072   precision 0.5220702885751429   recall 0.5224056150354506
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deviation 3/5   iterations 300/2000   F1 0.4871746684825273   accuracy 0.599483204134367   precision 0.4947763836097334   recall 0.5044147333275454
deviation 3/5   iterations 310/2000   F1 0.499877598899703   accuracy 0.6266149870801033   precision 0.5159712863125074   recall 0.5099319714840832
deviation 3/5   iterations 320/2000   F1 0.5029752244942118   accuracy 0.6124031007751938   precision 0.510224378860065   recall 0.5195337162094527
deviation 3/5   iterations 330/2000   F1 0.5141526789225948   accuracy 0.6408268733850129   precision 0.5179137168301255   recall 0.5224712422748623
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deviation 3/5   iterations 340/2000   F1 0.5179333270471775   accuracy 0.6266149870801033   precision 0.5237631049054704   recall 0.5368713178958062
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deviation 3/5   iterations 350/2000   F1 0.5148812985999691   accuracy 0.6317829457364341   precision 0.5169847201537893   recall 0.5297929630710891
deviation 3/5   iterations 360/2000   F1 0.5046706789982666   accuracy 0.624031007751938   precision 0.5229541938571124   recall 0.5163955372165475
deviation 3/5   iterations 370/2000   F1 0.5051793373575935   accuracy 0.6149870801033591   precision 0.5209719078499715   recall 0.5238530215461482
deviation 3/5   iterations 380/2000   F1 0.5013620025011205   accuracy 0.6149870801033591   precision 0.5126111434672879   recall 0.5167323226000619
deviation 3/5   iterations 390/2000   F1 0.5090283440896405   accuracy 0.627906976744186   precision 0.5182826834978718   recall 0.5218651843518755
deviation 3/5   iterations 400/2000   F1 0.4977642323011571   accuracy 0.6085271317829457   precision 0.5172138266458225   recall 0.5142677143741854
deviation 3/5   iterations 410/2000   F1 0.5220817417099199   accuracy 0.6356589147286822   precision 0.5252676712994173   recall 0.5381280323904244
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deviation 3/5   iterations 420/2000   F1 0.5047585782338667   accuracy 0.6253229974160207   precision 0.5140804845144809   recall 0.5160881426704211
deviation 3/5   iterations 430/2000   F1 0.49885328216309066   accuracy 0.6098191214470284   precision 0.5112171334268094   recall 0.5148249515338122
deviation 3/5   iterations 440/2000   F1 0.518797154259934   accuracy 0.6291989664082688   precision 0.5203668512518327   recall 0.5372569240426807
deviation 3/5   iterations 450/2000   F1 0.513660636101761   accuracy 0.6421188630490956   precision 0.5157496464695531   recall 0.523164242967863
deviation 3/5   iterations 460/2000   F1 0.5072930622292456   accuracy 0.6124031007751938   precision 0.5181396459565474   recall 0.5293840738061725
deviation 3/5   iterations 470/2000   F1 0.5104298503949516   accuracy 0.6201550387596899   precision 0.5182945736434109   recall 0.5290152741353499
deviation 3/5   iterations 480/2000   F1 0.5106797534915101   accuracy 0.6408268733850129   precision 0.5128704320331146   recall 0.5189448336851625
deviation 3/5   iterations 490/2000   F1 0.501495596431799   accuracy 0.6111111111111112   precision 0.5139602358938893   recall 0.5190443608165127
deviation 3/5   iterations 500/2000   F1 0.5058877585103355   accuracy 0.6214470284237726   precision 0.512574706857427   recall 0.5190611672925645
deviation 3/5   iterations 510/2000   F1 0.5022166762035907   accuracy 0.6201550387596899   precision 0.508962116383293   recall 0.5139771263041109
deviation 3/5   iterations 520/2000   F1 0.5007900190339214   accuracy 0.6175710594315246   precision 0.5056396336997763   recall 0.5133878748571757
deviation 3/5   iterations 530/2000   F1 0.5093198834938923   accuracy 0.6343669250645995   precision 0.5155999295318372   recall 0.5182094888707925
deviation 3/5   iterations 540/2000   F1 0.5016268435977802   accuracy 0.6046511627906976   precision 0.5181047763868829   recall 0.5199025158802753
deviation 3/5   iterations 550/2000   F1 0.510606901738814   accuracy 0.6214470284237726   precision 0.5234212730318258   recall 0.5271822614777778
deviation 3/5   iterations 560/2000   F1 0.513631740188448   accuracy 0.6304909560723514   precision 0.516012303016935   recall 0.5283032124390222
deviation 3/5   iterations 570/2000   F1 0.5166521712776683   accuracy 0.6175710594315246   precision 0.5257285034023327   recall 0.5416670253414605
deviation 3/5   iterations 580/2000   F1 0.5121528110461712   accuracy 0.627906976744186   precision 0.520689808351499   recall 0.5270529745863947
deviation 3/5   iterations 590/2000   F1 0.5111817689319781   accuracy 0.6136950904392765   precision 0.5229753910126848   recall 0.5344002330279393
deviation 3/5   iterations 600/2000   F1 0.5030350700549697   accuracy 0.6111111111111112   precision 0.5230691401865531   recall 0.5227065329395862
deviation 3/5   iterations 610/2000   F1 0.5305257664584265   accuracy 0.6447028423772609   precision 0.5306681433934809   recall 0.5489635774150148
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deviation 3/5   iterations 620/2000   F1 0.5241547958214625   accuracy 0.6304909560723514   precision 0.5288687098534823   recall 0.5458673736208339
deviation 3/5   iterations 630/2000   F1 0.4997138736026841   accuracy 0.5930232558139535   precision 0.5360254908612888   recall 0.5360958834873422
deviation 3/5   iterations 640/2000   F1 0.5217356282845059   accuracy 0.6175710594315246   precision 0.5303747433862362   recall 0.5503812241656795
deviation 3/5   iterations 650/2000   F1 0.5175246464249023   accuracy 0.6382428940568475   precision 0.5171689564042042   recall 0.5314608213578994
deviation 3/5   iterations 660/2000   F1 0.5048548644338119   accuracy 0.6188630490956072   precision 0.5164872966730552   recall 0.5205405880905704
deviation 3/5   iterations 670/2000   F1 0.5043830488178854   accuracy 0.5904392764857881   precision 0.5249514344020209   recall 0.5368964866184788
deviation 3/5   iterations 680/2000   F1 0.5304808845754636   accuracy 0.6395348837209303   precision 0.532187353726954   recall 0.5515151284109051
deviation 3/5   iterations 690/2000   F1 0.5047309739242667   accuracy 0.58656330749354   precision 0.5312973446941537   recall 0.5402089200740567
deviation 3/5   iterations 700/2000   F1 0.5106639275297932   accuracy 0.6124031007751938   precision 0.5218327001276298   recall 0.5346397458073785
deviation 3/5   iterations 710/2000   F1 0.511654407165147   accuracy 0.6124031007751938   precision 0.52030521432541   recall 0.5344361005073178
deviation 3/5   iterations 720/2000   F1 0.49889915835501025   accuracy 0.5981912144702842   precision 0.5178623110538004   recall 0.5218289479498518
deviation 3/5   iterations 730/2000   F1 0.5043487416583582   accuracy 0.6059431524547804   precision 0.5174886375734354   recall 0.5257833068077952
deviation 3/5   iterations 740/2000   F1 0.5159275280972394   accuracy 0.6343669250645995   precision 0.5172725281659382   recall 0.5319757143961569
deviation 3/5   iterations 750/2000   F1 0.5223596412937227   accuracy 0.6330749354005168   precision 0.5243131402120552   recall 0.5419298212389423
deviation 3/5   iterations 760/2000   F1 0.5028081362776734   accuracy 0.6020671834625323   precision 0.5246338986379961   recall 0.5292993855634339
deviation 3/5   iterations 770/2000   F1 0.4876390365334126   accuracy 0.5723514211886305   precision 0.5152871774783697   recall 0.5167510146807438
deviation 3/5   iterations 780/2000   F1 0.5267133584875942   accuracy 0.6524547803617571   precision 0.5237444820643602   recall 0.5398805789199732
deviation 3/5   iterations 790/2000   F1 0.5152130679477054   accuracy 0.6149870801033591   precision 0.521382396494821   recall 0.5410098921278385
deviation 3/5   iterations 800/2000   F1 0.5014385429599318   accuracy 0.5981912144702842   precision 0.5175369355204261   recall 0.5261521064786178
deviation 3/5   iterations 810/2000   F1 0.4959182511540625   accuracy 0.5775193798449613   precision 0.5308628795324465   recall 0.5346969288173594
deviation 3/5   iterations 820/2000   F1 0.49414567030336737   accuracy 0.5813953488372093   precision 0.5325403211017586   recall 0.5333852858400356
deviation 3/5   iterations 830/2000   F1 0.5122197294311047   accuracy 0.624031007751938   precision 0.5159531943085198   recall 0.5300938809752248
deviation 3/5   iterations 840/2000   F1 0.5055031097818729   accuracy 0.6098191214470284   precision 0.5127111682560092   recall 0.5267940318809833
deviation 3/5   iterations 850/2000   F1 0.5025753820859439   accuracy 0.58656330749354   precision 0.5298698562084563   recall 0.5403446836074305
deviation 3/5   iterations 860/2000   F1 0.5147457897814162   accuracy 0.6111111111111112   precision 0.5253924766717125   recall 0.5406601534603427
deviation 3/5   iterations 870/2000   F1 0.4990934591912814   accuracy 0.582687338501292   precision 0.5245079174447427   recall 0.5382656815284285
deviation 3/5   iterations 880/2000   F1 0.5008226191392717   accuracy 0.5852713178294574   precision 0.5283233528015311   recall 0.5405841963868699
deviation 3/5   iterations 890/2000   F1 0.5258026889929397   accuracy 0.6421188630490956   precision 0.527528922690213   recall 0.541525154088741
deviation 3/5   iterations 900/2000   F1 0.49335242639570726   accuracy 0.5697674418604651   precision 0.5229448170349708   recall 0.5311999110650477
deviation 3/5   iterations 910/2000   F1 0.5113463772000357   accuracy 0.6085271317829457   precision 0.5301347203964658   recall 0.5388168109687097
deviation 3/5   iterations 920/2000   F1 0.5074237161593397   accuracy 0.5956072351421189   precision 0.5246933878562795   recall 0.5406010028629217
deviation 3/5   iterations 930/2000   F1 0.5025677851764808   accuracy 0.5904392764857881   precision 0.5203115224377015   recall 0.5342347097345322
deviation 3/5   iterations 940/2000   F1 0.5004189364523187   accuracy 0.5891472868217055   precision 0.5335641016122845   recall 0.5374754082313529
deviation 3/5   iterations 950/2000   F1 0.5057132989756082   accuracy 0.5878552971576227   precision 0.5229633295618242   recall 0.5415629071727498
deviation 3/5   iterations 960/2000   F1 0.5149955156222733   accuracy 0.6046511627906976   precision 0.5267958496556816   recall 0.5470455075920592
deviation 3/5   iterations 970/2000   F1 0.5074940459589028   accuracy 0.5943152454780362   precision 0.524218060702593   recall 0.5407047521089873
deviation 3/5   iterations 980/2000   F1 0.4998437349520382   accuracy 0.58656330749354   precision 0.5212032194651534   recall 0.5313589577164639
deviation 3/5   iterations 990/2000   F1 0.5072966417825205   accuracy 0.5943152454780362   precision 0.52226666693929   recall 0.5397043568698603
deviation 3/5   iterations 1000/2000   F1 0.5153046098991433   accuracy 0.6162790697674418   precision 0.5275922078558727   recall 0.5402451564760804
deviation 3/5   iterations 1010/2000   F1 0.49760697301259743   accuracy 0.5813953488372093   precision 0.5181977054699595   recall 0.5302483365892806
deviation 3/5   iterations 1020/2000   F1 0.5006737804940841   accuracy 0.582687338501292   precision 0.5245714675046839   recall 0.5372652862893014
deviation 3/5   iterations 1030/2000   F1 0.4896890865141536   accuracy 0.5736434108527132   precision 0.5122586575435668   recall 0.5208346604300703
deviation 3/5   iterations 1040/2000   F1 0.4902010426252357   accuracy 0.5658914728682171   precision 0.5228824876272588   recall 0.5283241590469793
deviation 3/5   iterations 1050/2000   F1 0.5006915334906199   accuracy 0.582687338501292   precision 0.5208876311590912   recall 0.5343998641052942
deviation 3/5   iterations 1060/2000   F1 0.49245934760298865   accuracy 0.582687338501292   precision 0.5078607640774941   recall 0.5201584662131213
deviation 3/5   iterations 1070/2000   F1 0.49595771201412625   accuracy 0.5788113695090439   precision 0.522284679206837   recall 0.5299306122090932
deviation 3/5   iterations 1080/2000   F1 0.4946935075726102   accuracy 0.5697674418604651   precision 0.5259812050856826   recall 0.5374559783053808
deviation 3/5   iterations 1090/2000   F1 0.49692813310430034   accuracy 0.5891472868217055   precision 0.5141059638265129   recall 0.5238949967448725
deviation 3/5   iterations 1100/2000   F1 0.48585887407514966   accuracy 0.5658914728682171   precision 0.5177579080103736   recall 0.5213392236342668
deviation 3/5   iterations 1110/2000   F1 0.4618846709646561   accuracy 0.5297157622739018   precision 0.5092805274511591   recall 0.5038681129418147
deviation 3/5   iterations 1120/2000   F1 0.5004192800237259   accuracy 0.5813953488372093   precision 0.5209401199658106   recall 0.5383015490078072
deviation 3/5   iterations 1130/2000   F1 0.5026902403533353   accuracy 0.5930232558139535   precision 0.5174551547407845   recall 0.532094302530834
deviation 3/5   iterations 1140/2000   F1 0.4886754342418727   accuracy 0.5788113695090439   precision 0.509065940635381   recall 0.513027437432974
deviation 3/5   iterations 1150/2000   F1 0.4699718686413034   accuracy 0.5400516795865633   precision 0.51179811749432   recall 0.5092763549524463
deviation 3/5   iterations 1160/2000   F1 0.4766469964144382   accuracy 0.5529715762273901   precision 0.5212932440264195   recall 0.5136803485318805
deviation 3/5   iterations 1170/2000   F1 0.48854450662457555   accuracy 0.5645994832041343   precision 0.5160649024286558   recall 0.5248336179366583
deviation 3/5   iterations 1180/2000   F1 0.4810700557648324   accuracy 0.5581395348837209   precision 0.5111442795348807   recall 0.5143836790589423
deviation 3/5   iterations 1190/2000   F1 0.4916015816230465   accuracy 0.5930232558139535   precision 0.5036196005278664   recall 0.5118004826983887
deviation 3/5   iterations 1200/2000   F1 0.475309419423084   accuracy 0.5568475452196382   precision 0.5034530199837782   recall 0.5048407160083488
deviation 3/5   iterations 1210/2000   F1 0.4879419990443264   accuracy 0.5671834625322998   precision 0.5206850034268937   recall 0.524694001211214
deviation 3/5   iterations 1220/2000   F1 0.4861115298008103   accuracy 0.5775193798449613   precision 0.5048162970513467   recall 0.5115376868009069
deviation 3/5   iterations 1230/2000   F1 0.47832435064234713   accuracy 0.5542635658914729   precision 0.5095744562381284   recall 0.516831480808767
deviation 3/5   iterations 1240/2000   F1 0.4821018605454869   accuracy 0.5658914728682171   precision 0.5185648528452487   recall 0.5170839468721877
deviation 3/5   iterations 1250/2000   F1 0.4851179023530657   accuracy 0.5633074935400517   precision 0.5083093596022845   recall 0.5195459316481439
deviation 3/5   iterations 1260/2000   F1 0.5103380824751963   accuracy 0.599483204134367   precision 0.5262157693863939   recall 0.5418153732361706
deviation 3/5   iterations 1270/2000   F1 0.4930456221875302   accuracy 0.5762273901808785   precision 0.5121710409892827   recall 0.5247466751666444
deviation 3/5   iterations 1280/2000   F1 0.5078110704231548   accuracy 0.6007751937984496   precision 0.5182963728083217   recall 0.5361844249221511
deviation 3/5   iterations 1290/2000   F1 0.47641050168149635   accuracy 0.5452196382428941   precision 0.5197484126398276   recall 0.5182365431980953
deviation 3/5   iterations 1300/2000   F1 0.47918281350728337   accuracy 0.5516795865633075   precision 0.5175027586792292   recall 0.5190397697791522
deviation 3/5   iterations 1310/2000   F1 0.5031045305363132   accuracy 0.5891472868217055   precision 0.5226702880436077   recall 0.5354067359864119
deviation 3/5   iterations 1320/2000   F1 0.4727338557125791   accuracy 0.5400516795865633   precision 0.511275360222582   recall 0.5162612903651588
deviation 3/5   iterations 1330/2000   F1 0.4820230768706509   accuracy 0.5633074935400517   precision 0.509212077564379   recall 0.5172914453643189
deviation 3/5   iterations 1340/2000   F1 0.4535392846279871   accuracy 0.5103359173126615   precision 0.5055739528559254   recall 0.4977283793088833
deviation 3/5   iterations 1350/2000   F1 0.4801953407732835   accuracy 0.5542635658914729   precision 0.5134867152438028   recall 0.516831480808767
deviation 3/5   iterations 1360/2000   F1 0.4760727282674506   accuracy 0.5503875968992248   precision 0.5071090085718907   recall 0.509293161428498
deviation 3/5   iterations 1370/2000   F1 0.4647093777298823   accuracy 0.5271317829457365   precision 0.5090390522158842   recall 0.5066695065512054
deviation 3/5   iterations 1380/2000   F1 0.46737426707200225   accuracy 0.5271317829457365   precision 0.5139776925262859   recall 0.5137902054972917
deviation 3/5   iterations 1390/2000   F1 0.47614754385899866   accuracy 0.5594315245478036   precision 0.5028567155095494   recall 0.5027003088046504
deviation 3/5   iterations 1400/2000   F1 0.477822065014539   accuracy 0.5490956072351422   precision 0.5174619995282602   recall 0.523909835633484
deviation 3/5   iterations 1410/2000   F1 0.4661591032655153   accuracy 0.5348837209302325   precision 0.5119929453262787   recall 0.5065722339471305
deviation 3/5   iterations 1420/2000   F1 0.4541316196756611   accuracy 0.5077519379844961   precision 0.5157639982133512   recall 0.5061927355196018
deviation 3/5   iterations 1430/2000   F1 0.47978034546552134   accuracy 0.5542635658914729   precision 0.5137631945012683   recall 0.5150343356305737
deviation 3/5   iterations 1440/2000   F1 0.4733947811640295   accuracy 0.5387596899224806   precision 0.5139058904625974   recall 0.5137711444939649
deviation 3/5   iterations 1450/2000   F1 0.4674693150756839   accuracy 0.5387596899224806   precision 0.5036754742547426   recall 0.5023272870191123
deviation 3/5   iterations 1460/2000   F1 0.4707827110456731   accuracy 0.5478036175710594   precision 0.5035988371804603   recall 0.506381541931051
deviation 3/5   iterations 1470/2000   F1 0.4702920313308079   accuracy 0.5348837209302325   precision 0.51521411594941   recall 0.5153543145380363
deviation 3/5   iterations 1480/2000   F1 0.47400767580347153   accuracy 0.5426356589147286   precision 0.5182128024878044   recall 0.5195802004627273
deviation 3/5   iterations 1490/2000   F1 0.46644642301990863   accuracy 0.5310077519379846   precision 0.5150904377707507   recall 0.5106814173417746
deviation 3/5   iterations 1500/2000   F1 0.4693566131880354   accuracy 0.5284237726098191   precision 0.517271390497197   recall 0.5206713916639387
deviation 3/5   iterations 1510/2000   F1 0.485192949806875   accuracy 0.5671834625322998   precision 0.5211270478850253   recall 0.5221679878606413
deviation 3/5   iterations 1520/2000   F1 0.4668846630412637   accuracy 0.5271317829457365   precision 0.5142126462860568   recall 0.5164519823812382
deviation 3/5   iterations 1530/2000   F1 0.4657104253917555   accuracy 0.541343669250646   precision 0.5107734506243178   recall 0.5013230385879149
deviation 3/5   iterations 1540/2000   F1 0.44713416103324083   accuracy 0.49483204134366926   precision 0.50551500405515   recall 0.5017887419401674
deviation 3/5   iterations 1550/2000   F1 0.47409257457076864   accuracy 0.5581395348837209   precision 0.5138272863960608   recall 0.5086027841854176
deviation 3/5   iterations 1560/2000   F1 0.4686812071954327   accuracy 0.5310077519379846   precision 0.5124272869559547   recall 0.5158692075762938
deviation 3/5   iterations 1570/2000   F1 0.4396021057447094   accuracy 0.49224806201550386   precision 0.5147093932312244   recall 0.4990128859760943
deviation 3/5   iterations 1580/2000   F1 0.46623047572673465   accuracy 0.5219638242894057   precision 0.5201857962652184   recall 0.5181389016713753
deviation 3/5   iterations 1590/2000   F1 0.4924477658754083   accuracy 0.5801033591731266   precision 0.5157227756532015   recall 0.5218415323111881
deviation 3/5   iterations 1600/2000   F1 0.4819411491689179   accuracy 0.5633074935400517   precision 0.5034217829606278   recall 0.5142902596469378
deviation 3/5   iterations 1610/2000   F1 0.5100110675924984   accuracy 0.6162790697674418   precision 0.5172391652164149   recall 0.5303947988793606
deviation 3/5   iterations 1620/2000   F1 0.4821756664949113   accuracy 0.5607235142118863   precision 0.5048147852932342   recall 0.5146335216724428
deviation 3/5   iterations 1630/2000   F1 0.4804961431119896   accuracy 0.5555555555555556   precision 0.5179434814581364   recall 0.5157952180902613
deviation 3/5   iterations 1640/2000   F1 0.4649894547586091   accuracy 0.5271317829457365   precision 0.5120373330491618   recall 0.5111963103800322
deviation 3/5   iterations 1650/2000   F1 0.46869154613753466   accuracy 0.5465116279069767   precision 0.4998517762868216   recall 0.4976353288195237
deviation 3/5   iterations 1660/2000   F1 0.4622027228847394   accuracy 0.5310077519379846   precision 0.5046873421743259   recall 0.4937782425656554
deviation 3/5   iterations 1670/2000   F1 0.45342233388581626   accuracy 0.5142118863049095   precision 0.5097503037878444   recall 0.4973492498039996
deviation 3/5   iterations 1680/2000   F1 0.4875601592141338   accuracy 0.5645994832041343   precision 0.5230322255204393   recall 0.5277669218873525
deviation 3/5   iterations 1690/2000   F1 0.4621055157967497   accuracy 0.5322997416020672   precision 0.5057364164250232   recall 0.4981334153817296
deviation 3/5   iterations 1700/2000   F1 0.4719657411387963   accuracy 0.5465116279069767   precision 0.5020063761609656   recall 0.5064174094104296
deviation 3/5   iterations 1710/2000   F1 0.4596849580410474   accuracy 0.524547803617571   precision 0.5082112332112332   recall 0.5046225187595116
deviation 3/5   iterations 1720/2000   F1 0.4834348077626955   accuracy 0.5594315245478036   precision 0.5117543083520654   recall 0.5213327469922762
deviation 3/5   iterations 1730/2000   F1 0.4657260698799914   accuracy 0.5348837209302325   precision 0.5027735673943386   recall 0.5055718387080034
deviation 3/5   iterations 1740/2000   F1 0.4947864263550538   accuracy 0.582687338501292   precision 0.5101109771375553   recall 0.5228881248637548
deviation 3/5   iterations 1750/2000   F1 0.4785481789304698   accuracy 0.5607235142118863   precision 0.5063464883670363   recall 0.5042579412034044
deviation 3/5   iterations 1760/2000   F1 0.4804865959996219   accuracy 0.5645994832041343   precision 0.5053470251094024   recall 0.5072015749881597
deviation 3/5   iterations 1770/2000   F1 0.4738140964318307   accuracy 0.5503875968992248   precision 0.5029503113717761   recall 0.5076317797836786
deviation 3/5   iterations 1780/2000   F1 0.4593712724636652   accuracy 0.5310077519379846   precision 0.4979901768163984   recall 0.492981492626589
deviation 3/5   iterations 1790/2000   F1 0.4576729006908617   accuracy 0.5219638242894057   precision 0.5038393443914413   recall 0.5014393721953169
deviation 3/5   iterations 1800/2000   F1 0.48238475302935946   accuracy 0.5568475452196382   precision 0.512181396855694   recall 0.5226085224902213
deviation 3/5   iterations 1810/2000   F1 0.4935355726478587   accuracy 0.5736434108527132   precision 0.5147425930941324   recall 0.5288199910819099
deviation 3/5   iterations 1820/2000   F1 0.4779005711780768   accuracy 0.5594315245478036   precision 0.504454256125801   recall 0.5062267173943501
deviation 3/5   iterations 1830/2000   F1 0.4622768853190539   accuracy 0.5310077519379846   precision 0.5000918567628866   recall 0.5008989415117417
deviation 3/5   iterations 1840/2000   F1 0.49444672505017334   accuracy 0.5723514211886305   precision 0.5177151882808836   recall 0.5288558585612886
deviation 3/5   iterations 1850/2000   F1 0.4978313668767187   accuracy 0.5878552971576227   precision 0.5141164114547082   recall 0.5239987459909381
deviation 3/5   iterations 1860/2000   F1 0.4909920776303158   accuracy 0.5736434108527132   precision 0.5124324877278691   recall 0.5226318056082636
deviation 3/5   iterations 1870/2000   F1 0.4964122421337322   accuracy 0.5788113695090439   precision 0.5158259024188656   recall 0.5288623352032792
deviation 3/5   iterations 1880/2000   F1 0.47804674877425635   accuracy 0.5529715762273901   precision 0.5063433859832581   recall 0.5115437945202526
deviation 3/5   iterations 1890/2000   F1 0.48415040922002966   accuracy 0.5633074935400517   precision 0.508360831888452   recall 0.5152906548860648
deviation 3/5   iterations 1900/2000   F1 0.47603199544898517   accuracy 0.5478036175710594   precision 0.5084634012467002   recall 0.5142311090495167
deviation 3/5   iterations 1910/2000   F1 0.4902326169145749   accuracy 0.5762273901808785   precision 0.5100829628539985   recall 0.5205592801712523
deviation 3/5   iterations 1920/2000   F1 0.47561980309970514   accuracy 0.5439276485788114   precision 0.509905409607495   recall 0.5192049241499141
deviation 3/5   iterations 1930/2000   F1 0.4895368124710557   accuracy 0.5697674418604651   precision 0.5164135484522547   recall 0.5206206852959485
deviation 3/5   iterations 1940/2000   F1 0.4630840588321407   accuracy 0.5219638242894057   precision 0.5094296788482836   recall 0.506559280663149
deviation 3/5   iterations 1950/2000   F1 0.46996168582375475   accuracy 0.5361757105943152   precision 0.5138925384448084   recall 0.5125209066413373
deviation 3/5   iterations 1960/2000   F1 0.46992470418610804   accuracy 0.5335917312661499   precision 0.5173771637780541   recall 0.516458459023229
deviation 3/5   iterations 1970/2000   F1 0.4714988564948593   accuracy 0.537467700258398   precision 0.5116671512212504   recall 0.5122135120952108
deviation 3/5   iterations 1980/2000   F1 0.4761848222284002   accuracy 0.5439276485788114   precision 0.5111132666735662   recall 0.5137456068486471
deviation 3/5   iterations 1990/2000   F1 0.4570130668581727   accuracy 0.5103359173126615   precision 0.5084950261006599   recall 0.5065104598997892
deviation 3/5   iterations 2000/2000   F1 0.5013729638319228   accuracy 0.5943152454780362   precision 0.5130376371904541   recall 0.5265312359835014

deviation 4/5   iterations 10/2000   F1 0.3880523447533757   accuracy 0.524547803617571   precision 0.3946502514049097   recall 0.40534002411442377
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deviation 4/5   iterations 20/2000   F1 0.43979059728701636   accuracy 0.5736434108527132   precision 0.43880013810452967   recall 0.44199958041197834
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deviation 4/5   iterations 30/2000   F1 0.4590629718312007   accuracy 0.5852713178294574   precision 0.4585045834050611   recall 0.46500399789173014
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deviation 4/5   iterations 40/2000   F1 0.46684525214381245   accuracy 0.5981912144702842   precision 0.46721702238520607   recall 0.46727143745953637
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deviation 4/5   iterations 50/2000   F1 0.41919011212716334   accuracy 0.5297157622739018   precision 0.4720338762891954   recall 0.4684860947726202
deviation 4/5   iterations 60/2000   F1 0.47837488384829935   accuracy 0.6111111111111112   precision 0.47993632522367546   recall 0.4801859845631287
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deviation 4/5   iterations 70/2000   F1 0.4515959202690245   accuracy 0.5516795865633075   precision 0.4675833251565423   recall 0.47706227553619013
deviation 4/5   iterations 80/2000   F1 0.4617614406148372   accuracy 0.6098191214470284   precision 0.48181499090589996   recall 0.475051893069165
deviation 4/5   iterations 90/2000   F1 0.49127361142852993   accuracy 0.599483204134367   precision 0.49743261146008555   recall 0.5121285369126373
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deviation 4/5   iterations 100/2000   F1 0.4879973803491719   accuracy 0.599483204134367   precision 0.5018320751042541   recall 0.5087557231174882
deviation 4/5   iterations 110/2000   F1 0.4949599348075606   accuracy 0.6266149870801033   precision 0.49196988646546824   recall 0.5024039819378753
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deviation 4/5   iterations 120/2000   F1 0.5037339476503777   accuracy 0.6472868217054264   precision 0.5027523420794341   recall 0.5048456759683543
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deviation 4/5   iterations 130/2000   F1 0.5013379614243688   accuracy 0.6162790697674418   precision 0.5004764598908871   recall 0.5153566510481215
deviation 4/5   iterations 140/2000   F1 0.4908537281272398   accuracy 0.6072351421188631   precision 0.4992693153983477   recall 0.5029954879120856
deviation 4/5   iterations 150/2000   F1 0.5145985434900529   accuracy 0.6563307493540051   precision 0.5142549076726384   recall 0.5149523528205653
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deviation 4/5   iterations 160/2000   F1 0.495716230549903   accuracy 0.6136950904392765   precision 0.5023667356389793   recall 0.5063247278437152
deviation 4/5   iterations 170/2000   F1 0.49731229076996647   accuracy 0.624031007751938   precision 0.498645559568266   recall 0.5047480344416343
deviation 4/5   iterations 180/2000   F1 0.5113377105944643   accuracy 0.6434108527131783   precision 0.5076248242627539   recall 0.5192625580653499
deviation 4/5   iterations 190/2000   F1 0.504184937020758   accuracy 0.627906976744186   precision 0.5102746420286404   recall 0.5140156172334097
deviation 4/5   iterations 200/2000   F1 0.5179102066912217   accuracy 0.6472868217054264   precision 0.5142802806727821   recall 0.5282586137903776
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deviation 4/5   iterations 210/2000   F1 0.5097530433506511   accuracy 0.6550387596899225   precision 0.5140278410722147   recall 0.5083426937206661
deviation 4/5   iterations 220/2000   F1 0.5114538506650196   accuracy 0.6227390180878553   precision 0.5123278975860982   recall 0.5276716168707177
deviation 4/5   iterations 230/2000   F1 0.5325394379305193   accuracy 0.6679586563307494   precision 0.5286432857536493   recall 0.5385498749393225
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deviation 4/5   iterations 240/2000   F1 0.5096800634279472   accuracy 0.6369509043927648   precision 0.5145083157125249   recall 0.5179341086119744
deviation 4/5   iterations 250/2000   F1 0.5291062061448327   accuracy 0.665374677002584   precision 0.5254854054525198   recall 0.5345699784360615
deviation 4/5   iterations 260/2000   F1 0.5252455404285975   accuracy 0.6576227390180879   precision 0.5216431173866439   recall 0.533073751162004
deviation 4/5   iterations 270/2000   F1 0.5190541528167861   accuracy 0.6408268733850129   precision 0.5203114071927898   recall 0.5305244546933888
deviation 4/5   iterations 280/2000   F1 0.5267467873314255   accuracy 0.6563307493540051   precision 0.5245808468314862   recall 0.5335169092415041
deviation 4/5   iterations 290/2000   F1 0.5157734331939176   accuracy 0.6330749354005168   precision 0.514678310765639   recall 0.5296892138250237
deviation 4/5   iterations 300/2000   F1 0.5199636174670758   accuracy 0.6524547803617571   precision 0.5188093580164065   recall 0.5261143533946089
deviation 4/5   iterations 310/2000   F1 0.5177026731955757   accuracy 0.6434108527131783   precision 0.5149139844617092   recall 0.5281125204229428
deviation 4/5   iterations 320/2000   F1 0.5137000323672343   accuracy 0.6511627906976745   precision 0.5131767315253554   recall 0.5183685355222089
deviation 4/5   iterations 330/2000   F1 0.5317026383202854   accuracy 0.6602067183462532   precision 0.5275724623439627   recall 0.5406479380216515
deviation 4/5   iterations 340/2000   F1 0.539469151224491   accuracy 0.6640826873385013   precision 0.5394229404056052   recall 0.5491866526410475
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deviation 4/5   iterations 350/2000   F1 0.5383659643547759   accuracy 0.6627906976744186   precision 0.5338079327075117   recall 0.5482221248812992
deviation 4/5   iterations 360/2000   F1 0.5354384832113785   accuracy 0.6563307493540051   precision 0.531725447218405   recall 0.5482835300059955
deviation 4/5   iterations 370/2000   F1 0.5428177931928869   accuracy 0.6731266149870802   precision 0.5397265514880593   recall 0.5467811950125921
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deviation 4/5   iterations 380/2000   F1 0.53858506980991   accuracy 0.6602067183462532   precision 0.5339996381663048   recall 0.5503625320849975
deviation 4/5   iterations 390/2000   F1 0.5269935368356696   accuracy 0.6447028423772609   precision 0.5256622119684913   recall 0.541181892063236
deviation 4/5   iterations 400/2000   F1 0.5501263877341315   accuracy 0.6757105943152455   precision 0.5459647352339304   recall 0.5560846452837462
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deviation 4/5   iterations 410/2000   F1 0.5340733663717643   accuracy 0.6550387596899225   precision 0.5291857136024162   recall 0.5465901340738677
deviation 4/5   iterations 420/2000   F1 0.5352875934795341   accuracy 0.6679586563307494   precision 0.5342948580572343   recall 0.5414831788900166
deviation 4/5   iterations 430/2000   F1 0.5166922714309284   accuracy 0.627906976744186   precision 0.5160078094494338   recall 0.5347667781714865
deviation 4/5   iterations 440/2000   F1 0.5393783402597293   accuracy 0.6679586563307494   precision 0.5379383234775391   recall 0.5467388508912229
deviation 4/5   iterations 450/2000   F1 0.5277787700893477   accuracy 0.6524547803617571   precision 0.523542854842498   recall 0.5390838289809069
deviation 4/5   iterations 460/2000   F1 0.5325797330559291   accuracy 0.6627906976744186   precision 0.5282221438431024   recall 0.5402367942294596
deviation 4/5   iterations 470/2000   F1 0.5319081766608827   accuracy 0.6524547803617571   precision 0.5311568180809753   recall 0.544475264515487
deviation 4/5   iterations 480/2000   F1 0.5323184695207662   accuracy 0.6550387596899225   precision 0.531948667401835   recall 0.5432673707842287
deviation 4/5   iterations 490/2000   F1 0.5362717098731117   accuracy 0.6602067183462532   precision 0.5317464204830773   recall 0.5484975051401172
deviation 4/5   iterations 500/2000   F1 0.5326949928687484   accuracy 0.6537467700258398   precision 0.5314495989789653   recall 0.5451682652084876
deviation 4/5   iterations 510/2000   F1 0.5240580430439704   accuracy 0.6434108527131783   precision 0.5218827679353994   recall 0.538623864425355
deviation 4/5   iterations 520/2000   F1 0.5204348199338629   accuracy 0.6434108527131783   precision 0.5240625240811964   recall 0.5318425743127032
deviation 4/5   iterations 530/2000   F1 0.537038919781391   accuracy 0.665374677002584   precision 0.533551879652797   recall 0.5460817176776008
deviation 4/5   iterations 540/2000   F1 0.5267822659538387   accuracy 0.6537467700258398   precision 0.522912867344664   recall 0.5379796844957143
deviation 4/5   iterations 550/2000   F1 0.5253415545673847   accuracy 0.6421188630490956   precision 0.5268120987081303   recall 0.5398637724439215
deviation 4/5   iterations 560/2000   F1 0.5375072400946164   accuracy 0.6589147286821705   precision 0.5360584323502623   recall 0.5497374131586837
deviation 4/5   iterations 570/2000   F1 0.5357081850197812   accuracy 0.6640826873385013   precision 0.5311668312944812   recall 0.5461175851569794
deviation 4/5   iterations 580/2000   F1 0.533506989610091   accuracy 0.6576227390180879   precision 0.5349519131236707   recall 0.5438566222311638
deviation 4/5   iterations 590/2000   F1 0.5349829561415153   accuracy 0.6537467700258398   precision 0.530582442054417   recall 0.5494235419705666
deviation 4/5   iterations 600/2000   F1 0.5360879953860097   accuracy 0.6589147286821705   precision 0.535765838011227   recall 0.5480081497471773
deviation 4/5   iterations 610/2000   F1 0.5133546042652785   accuracy 0.6175710594315246   precision 0.5160016940367379   recall 0.5353430763344403
deviation 4/5   iterations 620/2000   F1 0.537027796631537   accuracy 0.6782945736434108   precision 0.5386538546634126   recall 0.5373125903706762
deviation 4/5   iterations 630/2000   F1 0.5243622803417792   accuracy 0.6369509043927648   precision 0.5231257961425705   recall 0.542211678139751
deviation 4/5   iterations 640/2000   F1 0.5329674079685822   accuracy 0.6640826873385013   precision 0.5341379293058418   recall 0.5394041768110146
deviation 4/5   iterations 650/2000   F1 0.5356060123988855   accuracy 0.6666666666666666   precision 0.5312904239309671   recall 0.5431804280142148
deviation 4/5   iterations 660/2000   F1 0.5337746878755355   accuracy 0.6666666666666666   precision 0.5301898116666174   recall 0.5405865328969552
deviation 4/5   iterations 670/2000   F1 0.5344246820085161   accuracy 0.6627906976744186   precision 0.5372989766081872   recall 0.5431700981801538
deviation 4/5   iterations 680/2000   F1 0.5276479463344423   accuracy 0.648578811369509   precision 0.5236086656042719   recall 0.5413279854306708
deviation 4/5   iterations 690/2000   F1 0.5298306505926941   accuracy 0.6589147286821705   precision 0.5326484249519753   recall 0.537564687511452
deviation 4/5   iterations 700/2000   F1 0.5337512790039831   accuracy 0.6602067183462532   precision 0.5313813114992754   recall 0.5425129649665318
deviation 4/5   iterations 710/2000   F1 0.5370390068950553   accuracy 0.6602067183462532   precision 0.5333031770528445   recall 0.5485653869068042
deviation 4/5   iterations 720/2000   F1 0.5374435074642236   accuracy 0.6640826873385013   precision 0.5332936781355057   recall 0.545456598751287
deviation 4/5   iterations 730/2000   F1 0.5280015454457646   accuracy 0.6472868217054264   precision 0.5269200774096646   recall 0.5456870114388156
deviation 4/5   iterations 740/2000   F1 0.5249037772146804   accuracy 0.6408268733850129   precision 0.5302375696415432   recall 0.5392386535176077
deviation 4/5   iterations 750/2000   F1 0.5188394422859509   accuracy 0.6317829457364341   precision 0.5204948672177062   recall 0.5351165168389822
deviation 4/5   iterations 760/2000   F1 0.55301699289785   accuracy 0.6808785529715762   precision 0.5484241452185703   recall 0.5605180297005684
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deviation 4/5   iterations 770/2000   F1 0.5322984685098654   accuracy 0.6472868217054264   precision 0.5319008342430923   recall 0.5478914472171305
deviation 4/5   iterations 780/2000   F1 0.5231806784964755   accuracy 0.6369509043927648   precision 0.5217463678531247   recall 0.5404145329615576
deviation 4/5   iterations 790/2000   F1 0.5439924224666677   accuracy 0.6679586563307494   precision 0.5407597680873343   recall 0.5536559045372484
deviation 4/5   iterations 800/2000   F1 0.5309521980813121   accuracy 0.6472868217054264   precision 0.5285123966942149   recall 0.5476199201503827
deviation 4/5   iterations 810/2000   F1 0.5340830847963619   accuracy 0.6537467700258398   precision 0.5305721813495335   recall 0.5484910284981266
deviation 4/5   iterations 820/2000   F1 0.5346094790150185   accuracy 0.6550387596899225   precision 0.5318837417070937   recall 0.5475226475463079
deviation 4/5   iterations 830/2000   F1 0.5394833243047924   accuracy 0.6537467700258398   precision 0.5349132305654044   recall 0.5564084773832793
deviation 4/5   iterations 840/2000   F1 0.526515333293738   accuracy 0.6330749354005168   precision 0.5280135336125401   recall 0.5472533750068354
deviation 4/5   iterations 850/2000   F1 0.5348816970696523   accuracy 0.6589147286821705   precision 0.530202467564394   recall 0.5468719909746764
deviation 4/5   iterations 860/2000   F1 0.547369354421781   accuracy 0.6705426356589147   precision 0.5420501333840332   recall 0.5592971826853289
deviation 4/5   iterations 870/2000   F1 0.5322701918415998   accuracy 0.6511627906976745   precision 0.5357779645464565   recall 0.5457151725340533
deviation 4/5   iterations 880/2000   F1 0.5450451862123756   accuracy 0.6640826873385013   precision 0.5408252319644725   recall 0.5593585878100252
deviation 4/5   iterations 890/2000   F1 0.5437572741809205   accuracy 0.6782945736434108   precision 0.5404023096876821   recall 0.548484920778781
deviation 4/5   iterations 900/2000   F1 0.5212703163434281   accuracy 0.6136950904392765   precision 0.5305588419402816   recall 0.5490989720257436
deviation 4/5   iterations 910/2000   F1 0.5544699792585139   accuracy 0.6808785529715762   precision 0.5518050025995463   recall 0.5623830566454487
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deviation 4/5   iterations 920/2000   F1 0.5425734725031081   accuracy 0.6537467700258398   precision 0.5388305322128851   recall 0.5608673994454191
deviation 4/5   iterations 930/2000   F1 0.5306958928382203   accuracy 0.6395348837209303   precision 0.534774505385339   recall 0.5490569968270194
deviation 4/5   iterations 940/2000   F1 0.5408684112952012   accuracy 0.6666666666666666   precision 0.5360574895965096   recall 0.5535560084832533
deviation 4/5   iterations 950/2000   F1 0.5599543546768792   accuracy 0.6782945736434108   precision 0.5543333688442186   recall 0.5723051492009259
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deviation 4/5   iterations 960/2000   F1 0.5488871665687062   accuracy 0.6782945736434108   precision 0.5467668213608697   recall 0.5539442380800478
deviation 4/5   iterations 970/2000   F1 0.5515836384728194   accuracy 0.6602067183462532   precision 0.5459124649305355   recall 0.5705205883840688
deviation 4/5   iterations 980/2000   F1 0.5618016807492288   accuracy 0.6795865633074936   precision 0.556616426402157   recall 0.5722013999548602
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deviation 4/5   iterations 990/2000   F1 0.5449722028484615   accuracy 0.6602067183462532   precision 0.5396170802149897   recall 0.5599413626149695
deviation 4/5   iterations 1000/2000   F1 0.5339386840564583   accuracy 0.6447028423772609   precision 0.5339668476143682   recall 0.5517611178323351
deviation 4/5   iterations 1010/2000   F1 0.5449152982964047   accuracy 0.6563307493540051   precision 0.5447040498442367   recall 0.5623891643647944
deviation 4/5   iterations 1020/2000   F1 0.5468404902887661   accuracy 0.6757105943152455   precision 0.5419460145562284   recall 0.5550163682779322
deviation 4/5   iterations 1030/2000   F1 0.5250796307921229   accuracy 0.6537467700258398   precision 0.5219238685573239   recall 0.5395053026071599
deviation 4/5   iterations 1040/2000   F1 0.5378354302423614   accuracy 0.6537467700258398   precision 0.5455614964509009   recall 0.552356845921261
deviation 4/5   iterations 1050/2000   F1 0.5226005610403615   accuracy 0.648578811369509   precision 0.5205518676445758   recall 0.5393271949524168
deviation 4/5   iterations 1060/2000   F1 0.5409179679985049   accuracy 0.6718346253229974   precision 0.5365316756958719   recall 0.5485463259034772
deviation 4/5   iterations 1070/2000   F1 0.5306362641740876   accuracy 0.648578811369509   precision 0.5279072195637782   recall 0.5473804073709433
deviation 4/5   iterations 1080/2000   F1 0.5357795419889126   accuracy 0.6498708010335917   precision 0.5344421660211134   recall 0.5509388302479512
deviation 4/5   iterations 1090/2000   F1 0.5292172089666022   accuracy 0.6395348837209303   precision 0.5305805555248242   recall 0.5463273381763858
deviation 4/5   iterations 1100/2000   F1 0.5266951566861406   accuracy 0.6563307493540051   precision 0.5227992441842456   recall 0.5375006589368355
deviation 4/5   iterations 1110/2000   F1 0.528833773348537   accuracy 0.6550387596899225   precision 0.5248562559495439   recall 0.5428600801841071
deviation 4/5   iterations 1120/2000   F1 0.5337844363237599   accuracy 0.6550387596899225   precision 0.5365363030272661   recall 0.5441998842566688
deviation 4/5   iterations 1130/2000   F1 0.5292596053516188   accuracy 0.6447028423772609   precision 0.5263170094694675   recall 0.5470306687034476
deviation 4/5   iterations 1140/2000   F1 0.5289090460323337   accuracy 0.6395348837209303   precision 0.5303615303615303   recall 0.5453948247039456
deviation 4/5   iterations 1150/2000   F1 0.5386775448710129   accuracy 0.661498708010336   precision 0.5342500968177023   recall 0.5492583875998048
deviation 4/5   iterations 1160/2000   F1 0.5455407138599749   accuracy 0.6602067183462532   precision 0.5398961787306713   recall 0.5616027442597891
deviation 4/5   iterations 1170/2000   F1 0.5567090039802344   accuracy 0.6795865633074936   precision 0.5525971342978143   recall 0.5642839510697076
deviation 4/5   iterations 1180/2000   F1 0.5270473440062519   accuracy 0.6498708010335917   precision 0.5242094344057474   recall 0.5427498542960509
deviation 4/5   iterations 1190/2000   F1 0.5333498995707454   accuracy 0.6692506459948321   precision 0.5291648268982322   recall 0.5417688889828959
deviation 4/5   iterations 1200/2000   F1 0.5195255611551716   accuracy 0.6317829457364341   precision 0.5206468337301199   recall 0.5367778984838018
deviation 4/5   iterations 1210/2000   F1 0.5184214221046862   accuracy 0.6188630490956072   precision 0.5269212916170668   recall 0.5396982491505146
deviation 4/5   iterations 1220/2000   F1 0.5180578723932449   accuracy 0.6330749354005168   precision 0.5168947539679825   recall 0.534741240526169
deviation 4/5   iterations 1230/2000   F1 0.5304305581775568   accuracy 0.6640826873385013   precision 0.526229248060234   recall 0.5407261496223995
deviation 4/5   iterations 1240/2000   F1 0.5330435748211602   accuracy 0.6692506459948321   precision 0.5288174932223876   recall 0.5417688889828959
deviation 4/5   iterations 1250/2000   F1 0.5381080108690979   accuracy 0.6627906976744186   precision 0.5330786860198625   recall 0.550612374698498
deviation 4/5   iterations 1260/2000   F1 0.5407331959689535   accuracy 0.665374677002584   precision 0.5354506070787058   recall 0.5512016261454331
deviation 4/5   iterations 1270/2000   F1 0.5456980611560168   accuracy 0.6627906976744186   precision 0.5398349608546669   recall 0.560326968761844
deviation 4/5   iterations 1280/2000   F1 0.5156716772030433   accuracy 0.6214470284237726   precision 0.521226365432374   recall 0.5348281832961829
deviation 4/5   iterations 1290/2000   F1 0.536639199687656   accuracy 0.648578811369509   precision 0.5366448067376898   recall 0.5529754882055841
deviation 4/5   iterations 1300/2000   F1 0.5329043656778621   accuracy 0.6576227390180879   precision 0.5283190948745482   recall 0.5443818451034824
deviation 4/5   iterations 1310/2000   F1 0.5333455419793697   accuracy 0.6602067183462532   precision 0.5290363399252832   recall 0.5464967146618632
deviation 4/5   iterations 1320/2000   F1 0.5331426691270963   accuracy 0.661498708010336   precision 0.5287947481915548   recall 0.5454604519433573
deviation 4/5   iterations 1330/2000   F1 0.5379916782015078   accuracy 0.6602067183462532   precision 0.5351589706689545   recall 0.5485653869068042
deviation 4/5   iterations 1340/2000   F1 0.5269368087176517   accuracy 0.6330749354005168   precision 0.5303818821810453   recall 0.5471176114734614
deviation 4/5   iterations 1350/2000   F1 0.5193606143737545   accuracy 0.6253229974160207   precision 0.5288192476747356   recall 0.5361104354361186
deviation 4/5   iterations 1360/2000   F1 0.5256941562133425   accuracy 0.6459948320413437   precision 0.524976897635031   recall 0.5374159706940969
deviation 4/5   iterations 1370/2000   F1 0.5461493233449762   accuracy 0.6679586563307494   precision 0.5409494029311049   recall 0.5586400494717069
deviation 4/5   iterations 1380/2000   F1 0.5390524317050861   accuracy 0.6576227390180879   precision 0.5339040681778541   recall 0.5531639256943882
deviation 4/5   iterations 1390/2000   F1 0.535619287656922   accuracy 0.6589147286821705   precision 0.5303772271857379   recall 0.5476687409137427
deviation 4/5   iterations 1400/2000   F1 0.5270379996745412   accuracy 0.6511627906976745   precision 0.5253799784321634   recall 0.5366615648763998
deviation 4/5   iterations 1410/2000   F1 0.5356856662871978   accuracy 0.6602067183462532   precision 0.5308226330849803   recall 0.5458357282561707
deviation 4/5   iterations 1420/2000   F1 0.5310106607316948   accuracy 0.6447028423772609   precision 0.5313792052922487   recall 0.546437564064442
deviation 4/5   iterations 1430/2000   F1 0.5252209720903098   accuracy 0.6395348837209303   precision 0.523613346250437   recall 0.5425972842866253
deviation 4/5   iterations 1440/2000   F1 0.5146550688622475   accuracy 0.6291989664082688   precision 0.5229745606420326   recall 0.5268134618069552
deviation 4/5   iterations 1450/2000   F1 0.5288422410885106   accuracy 0.6369509043927648   precision 0.5280966882231195   recall 0.5499933634915298
deviation 4/5   iterations 1460/2000   F1 0.5324300446456643   accuracy 0.6563307493540051   precision 0.5281193718898959   recall 0.5428920944714154
deviation 4/5   iterations 1470/2000   F1 0.523150681448613   accuracy 0.6589147286821705   precision 0.5191148309141903   recall 0.5318338431434374
deviation 4/5   iterations 1480/2000   F1 0.5249898299935809   accuracy 0.6589147286821705   precision 0.521859248750005   recall 0.5319696066768113
deviation 4/5   iterations 1490/2000   F1 0.5315065823856893   accuracy 0.6421188630490956   precision 0.5302414387780242   recall 0.550171471146273
deviation 4/5   iterations 1500/2000   F1 0.5510454956986873   accuracy 0.6782945736434108   precision 0.5456814661036274   recall 0.5607255281926996
deviation 4/5   iterations 1510/2000   F1 0.5349301698693122   accuracy 0.6550387596899225   precision 0.5300414400088734   recall 0.5491161474244404
deviation 4/5   iterations 1520/2000   F1 0.5347404153407983   accuracy 0.6563307493540051   precision 0.5314683453553108   recall 0.5480798847059346
deviation 4/5   iterations 1530/2000   F1 0.5361376141927447   accuracy 0.6524547803617571   precision 0.5332003254344543   recall 0.5538504497453983
deviation 4/5   iterations 1540/2000   F1 0.5301094664280014   accuracy 0.6382428940568475   precision 0.5307509157509157   recall 0.5490928643063979
deviation 4/5   iterations 1550/2000   F1 0.5320001014793869   accuracy 0.6408268733850129   precision 0.5314274892976774   recall 0.5512756156314657
deviation 4/5   iterations 1560/2000   F1 0.5345894084839699   accuracy 0.6524547803617571   precision 0.5326545503493639   recall 0.5487305412775659
deviation 4/5   iterations 1570/2000   F1 0.5185685148095603   accuracy 0.6188630490956072   precision 0.5245078897305913   recall 0.5446145123182862
deviation 4/5   iterations 1580/2000   F1 0.5331258731215558   accuracy 0.6408268733850129   precision 0.5360322523480417   recall 0.5522081291039057
deviation 4/5   iterations 1590/2000   F1 0.539024293291352   accuracy 0.665374677002584   precision 0.5340062769216002   recall 0.5502691126729929
deviation 4/5   iterations 1600/2000   F1 0.526033559640117   accuracy 0.6511627906976745   precision 0.5231487393292317   recall 0.5416457098108584
deviation 4/5   iterations 1610/2000   F1 0.5303044694430444   accuracy 0.6602067183462532   precision 0.5268867920995287   recall 0.5438349377779166
deviation 4/5   iterations 1620/2000   F1 0.5415953614096028   accuracy 0.6757105943152455   precision 0.5378397631696555   recall 0.5470989193927795
deviation 4/5   iterations 1630/2000   F1 0.5149947217390011   accuracy 0.6162790697674418   precision 0.5190947445179437   recall 0.5389053524035187
deviation 4/5   iterations 1640/2000   F1 0.5149567615208076   accuracy 0.6227390180878553   precision 0.5212637746725293   recall 0.5321305389328577
deviation 4/5   iterations 1650/2000   F1 0.5294406368833148   accuracy 0.6421188630490956   precision 0.5286167413546335   recall 0.5467129443232602
deviation 4/5   iterations 1660/2000   F1 0.5227886133551558   accuracy 0.6304909560723514   precision 0.5260930632541082   recall 0.5422052014977603
deviation 4/5   iterations 1670/2000   F1 0.5161184504201484   accuracy 0.6356589147286822   precision 0.5162724597868962   recall 0.5291423064994577
deviation 4/5   iterations 1680/2000   F1 0.5235375184443868   accuracy 0.6343669250645995   precision 0.5241878806899275   recall 0.5441484400433886
deviation 4/5   iterations 1690/2000   F1 0.5320316844150915   accuracy 0.6511627906976745   precision 0.5303528914512896   recall 0.5454436454673056
deviation 4/5   iterations 1700/2000   F1 0.5335460517312121   accuracy 0.6524547803617571   precision 0.5314591381509487   recall 0.5528500545062712
deviation 4/5   iterations 1710/2000   F1 0.5238083203768106   accuracy 0.6472868217054264   precision 0.5274529224921295   recall 0.5329890629192652
deviation 4/5   iterations 1720/2000   F1 0.5275994610607441   accuracy 0.6434108527131783   precision 0.5275969001920159   recall 0.5446762863656275
deviation 4/5   iterations 1730/2000   F1 0.524744037223123   accuracy 0.648578811369509   precision 0.5243405759389366   recall 0.5385983267800375
deviation 4/5   iterations 1740/2000   F1 0.5307480617078141   accuracy 0.6395348837209303   precision 0.5319306529293725   recall 0.5505826149384649
deviation 4/5   iterations 1750/2000   F1 0.516032325146753   accuracy 0.6149870801033591   precision 0.5318805555825072   recall 0.5386875240773265
deviation 4/5   iterations 1760/2000   F1 0.49705994237931755   accuracy 0.5878552971576227   precision 0.5167218428857163   recall 0.5214048508736785
deviation 4/5   iterations 1770/2000   F1 0.5275704983884976   accuracy 0.6304909560723514   precision 0.529275975220931   recall 0.5509872820886662
deviation 4/5   iterations 1780/2000   F1 0.512273147503346   accuracy 0.6188630490956072   precision 0.5184188034188034   recall 0.5306446414928611
deviation 4/5   iterations 1790/2000   F1 0.5360616273937503   accuracy 0.6537467700258398   precision 0.5345903437170304   recall 0.5502881736763199
deviation 4/5   iterations 1800/2000   F1 0.5228142054535508   accuracy 0.6188630490956072   precision 0.5275181162812255   recall 0.5509384613253062
deviation 4/5   iterations 1810/2000   F1 0.5240440454166947   accuracy 0.6343669250645995   precision 0.532326758454578   recall 0.5393000586423039
deviation 4/5   iterations 1820/2000   F1 0.4992990764799721   accuracy 0.5930232558139535   precision 0.5128665254308484   recall 0.5239053265789336
deviation 4/5   iterations 1830/2000   F1 0.5124539263404745   accuracy 0.6266149870801033   precision 0.5177452035641763   recall 0.5270888420657734
deviation 4/5   iterations 1840/2000   F1 0.5208684861320458   accuracy 0.6330749354005168   precision 0.5273488632291751   recall 0.5368777945377969
deviation 4/5   iterations 1850/2000   F1 0.513149069316909   accuracy 0.6291989664082688   precision 0.5163381421225712   recall 0.5266776982735814
deviation 4/5   iterations 1860/2000   F1 0.5227772405203606   accuracy 0.6408268733850129   precision 0.5204015213112423   recall 0.5388313629174862
deviation 4/5   iterations 1870/2000   F1 0.5319696449307362   accuracy 0.6537467700258398   precision 0.530016992239927   recall 0.54582925161418
deviation 4/5   iterations 1880/2000   F1 0.5054632165184559   accuracy 0.6046511627906976   precision 0.5141387889288729   recall 0.5275484376986802
deviation 4/5   iterations 1890/2000   F1 0.5154341958198976   accuracy 0.6266149870801033   precision 0.5189960755956281   recall 0.5315477641279132
deviation 4/5   iterations 1900/2000   F1 0.50812009100836   accuracy 0.6124031007751938   precision 0.5136021163645402   recall 0.5281121515002977
deviation 4/5   iterations 1910/2000   F1 0.5161330360331328   accuracy 0.6266149870801033   precision 0.5212020456660368   recall 0.5315477641279132
deviation 4/5   iterations 1920/2000   F1 0.5248387980805806   accuracy 0.648578811369509   precision 0.5234828909247514   recall 0.5436503534811828
deviation 4/5   iterations 1930/2000   F1 0.520248963807124   accuracy 0.6550387596899225   precision 0.517761232165872   recall 0.5272288277138626
deviation 4/5   iterations 1940/2000   F1 0.5337777911437118   accuracy 0.6666666666666666   precision 0.5291392232568702   recall 0.5447060461256604
deviation 4/5   iterations 1950/2000   F1 0.5163780540156587   accuracy 0.6395348837209303   precision 0.5141835605545283   recall 0.5302209133393329
deviation 4/5   iterations 1960/2000   F1 0.5202234257720005   accuracy 0.6459948320413437   precision 0.5179531975886821   recall 0.536211930154909
deviation 4/5   iterations 1970/2000   F1 0.5263800769103576   accuracy 0.6576227390180879   precision 0.5223302114210854   recall 0.5381257778631493
deviation 4/5   iterations 1980/2000   F1 0.5291261890789715   accuracy 0.6627906976744186   precision 0.5263903283384433   recall 0.5416945305742183
deviation 4/5   iterations 1990/2000   F1 0.5088212560725756   accuracy 0.6149870801033591   precision 0.5185766826868837   recall 0.5271757848357872
deviation 4/5   iterations 2000/2000   F1 0.5137217279666672   accuracy 0.6304909560723514   precision 0.5153481246678789   recall 0.5289641988447147

deviation 5/5   iterations 10/2000   F1 0.3319341536551916   accuracy 0.36175710594315247   precision 0.41027622302192673   recall 0.37685255530990774
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deviation 5/5   iterations 20/2000   F1 0.37421939378395636   accuracy 0.43023255813953487   precision 0.45735628190648087   recall 0.43887738806702487
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deviation 5/5   iterations 30/2000   F1 0.437116484222253   accuracy 0.5090439276485789   precision 0.46627814383645755   recall 0.47194322788786297
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deviation 5/5   iterations 40/2000   F1 0.4587439176261266   accuracy 0.5348837209302325   precision 0.4902382458359688   recall 0.5023169571850513
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deviation 5/5   iterations 50/2000   F1 0.48947079049796666   accuracy 0.5852713178294574   precision 0.49401737621127095   recall 0.514763177486471
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deviation 5/5   iterations 60/2000   F1 0.50646667931583   accuracy 0.6111111111111112   precision 0.5067178192178192   recall 0.5277585596407316
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deviation 5/5   iterations 70/2000   F1 0.4632648548196836   accuracy 0.5878552971576227   precision 0.5147469999027937   recall 0.49414392688969766
deviation 5/5   iterations 80/2000   F1 0.5019374492461471   accuracy 0.6007751937984496   precision 0.5101718853473477   recall 0.5304535805541365
deviation 5/5   iterations 90/2000   F1 0.44911276583860466   accuracy 0.5529715762273901   precision 0.5381627103022432   recall 0.5206152334390829
deviation 5/5   iterations 100/2000   F1 0.5171957523236915   accuracy 0.624031007751938   precision 0.5178267510419269   recall 0.5378755663270037
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deviation 5/5   iterations 110/2000   F1 0.5267922601158695   accuracy 0.6162790697674418   precision 0.5340848461188106   recall 0.5604032127751517
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deviation 5/5   iterations 120/2000   F1 0.5253478070996319   accuracy 0.6304909560723514   precision 0.5305121545672749   recall 0.5470035323933348
deviation 5/5   iterations 130/2000   F1 0.5173976414392919   accuracy 0.6343669250645995   precision 0.5188587260407659   recall 0.5305179780513981
deviation 5/5   iterations 140/2000   F1 0.5177646128866872   accuracy 0.5956072351421189   precision 0.5324379969607375   recall 0.559622900389492
deviation 5/5   iterations 150/2000   F1 0.5321502775258458   accuracy 0.6369509043927648   precision 0.5307266392932687   recall 0.5537234173812903
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deviation 5/5   iterations 160/2000   F1 0.5251972848249884   accuracy 0.6356589147286822   precision 0.5358827325248213   recall 0.5445877449308184
deviation 5/5   iterations 170/2000   F1 0.5390974236823203   accuracy 0.6253229974160207   precision 0.5441231646860296   recall 0.5765623115676352
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deviation 5/5   iterations 180/2000   F1 0.5331765342797838   accuracy 0.624031007751938   precision 0.5444113034848965   recall 0.5700205342344229
deviation 5/5   iterations 190/2000   F1 0.5332560840789643   accuracy 0.6304909560723514   precision 0.537201996313536   recall 0.5609734032187599
deviation 5/5   iterations 200/2000   F1 0.5364479266628253   accuracy 0.627906976744186   precision 0.5375307938317343   recall 0.5689625870626699
deviation 5/5   iterations 210/2000   F1 0.5289013862538713   accuracy 0.6175710594315246   precision 0.5387937280816161   recall 0.5628254768796589
deviation 5/5   iterations 220/2000   F1 0.5283444760449605   accuracy 0.6136950904392765   precision 0.536370668085865   recall 0.5650696333294227
deviation 5/5   iterations 230/2000   F1 0.5294231081448019   accuracy 0.6330749354005168   precision 0.5331105170571062   recall 0.5526448105414152
deviation 5/5   iterations 240/2000   F1 0.5269308772304859   accuracy 0.6201550387596899   precision 0.5344839418563053   recall 0.5580911745587008
deviation 5/5   iterations 250/2000   F1 0.5378140360225161   accuracy 0.6434108527131783   precision 0.5359940880151354   recall 0.5597823159635533
deviation 5/5   iterations 260/2000   F1 0.5212497669850596   accuracy 0.6136950904392765   precision 0.5317423436820067   recall 0.5510997625039976
deviation 5/5   iterations 270/2000   F1 0.5414810858044191   accuracy 0.6563307493540051   precision 0.5394329394329395   recall 0.5579981240693414
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deviation 5/5   iterations 280/2000   F1 0.5369677646815348   accuracy 0.6330749354005168   precision 0.5390060586473454   recall 0.5656821678944003
deviation 5/5   iterations 290/2000   F1 0.5293053689796205   accuracy 0.6136950904392765   precision 0.5420419326908293   recall 0.5696643189249365
deviation 5/5   iterations 300/2000   F1 0.5441775880132045   accuracy 0.6498708010335917   precision 0.5408187067058581   recall 0.5667058462515696
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deviation 5/5   iterations 310/2000   F1 0.5452442852116764   accuracy 0.6602067183462532   precision 0.5400045075501465   recall 0.5608738760874097
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deviation 5/5   iterations 320/2000   F1 0.5382097592889737   accuracy 0.6330749354005168   precision 0.5388510791920411   recall 0.5682760630116598
deviation 5/5   iterations 330/2000   F1 0.5456583692191016   accuracy 0.6408268733850129   precision 0.5485938923856146   recall 0.5779612662376178
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deviation 5/5   iterations 340/2000   F1 0.5573429976854515   accuracy 0.661498708010336   precision 0.5515429655717554   recall 0.5807245378403547
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deviation 5/5   iterations 350/2000   F1 0.5568625319861312   accuracy 0.6537467700258398   precision 0.5521040974529347   recall 0.5854843778066302
deviation 5/5   iterations 360/2000   F1 0.5491997700591559   accuracy 0.6369509043927648   precision 0.5535288491724525   recall 0.5881907533392213
deviation 5/5   iterations 370/2000   F1 0.5527535480371848   accuracy 0.6576227390180879   precision 0.5503367237425257   recall 0.5754585360050876
deviation 5/5   iterations 380/2000   F1 0.5578625882672773   accuracy 0.648578811369509   precision 0.5560453981546374   recall 0.5925627326313473
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deviation 5/5   iterations 390/2000   F1 0.55669749187907   accuracy 0.661498708010336   precision 0.5505069224750825   recall 0.578266406256469
deviation 5/5   iterations 400/2000   F1 0.5640347487332829   accuracy 0.6705426356589147   precision 0.5563556133150299   recall 0.5830495293407868
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deviation 5/5   iterations 410/2000   F1 0.5384575569096206   accuracy 0.6214470284237726   precision 0.5472419234880684   recall 0.5816718902014063
deviation 5/5   iterations 420/2000   F1 0.5526882570072812   accuracy 0.6434108527131783   precision 0.5525862777628315   recall 0.5879935846811511
deviation 5/5   iterations 430/2000   F1 0.5605838507062318   accuracy 0.6692506459948321   precision 0.5555198351380403   recall 0.5812203698752852
deviation 5/5   iterations 440/2000   F1 0.5568825281360037   accuracy 0.6524547803617571   precision 0.5546380591117434   recall 0.5867242858251968
deviation 5/5   iterations 450/2000   F1 0.5578003934168317   accuracy 0.6434108527131783   precision 0.559928591689355   recall 0.5977081787444972
deviation 5/5   iterations 460/2000   F1 0.5528620839994235   accuracy 0.6576227390180879   precision 0.5489409218584519   recall 0.5767805088164724
deviation 5/5   iterations 470/2000   F1 0.5616944514596581   accuracy 0.6757105943152455   precision 0.5546780097169087   recall 0.5744455564046241
deviation 5/5   iterations 480/2000   F1 0.549575298765611   accuracy 0.6408268733850129   precision 0.5504483668352683   recall 0.5839458064112033
deviation 5/5   iterations 490/2000   F1 0.5650668752479951   accuracy 0.6679586563307494   precision 0.5576968236311951   recall 0.5878517134284317
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deviation 5/5   iterations 500/2000   F1 0.5498848130427078   accuracy 0.6434108527131783   precision 0.5497483606493617   recall 0.5826700309132581
deviation 5/5   iterations 510/2000   F1 0.555436878005062   accuracy 0.6524547803617571   precision 0.551567898079526   recall 0.5848592588803165
deviation 5/5   iterations 520/2000   F1 0.556573765633262   accuracy 0.6563307493540051   precision 0.5525286938938255   recall 0.5842086023086851
deviation 5/5   iterations 530/2000   F1 0.5406356188585034   accuracy 0.6369509043927648   precision 0.5409506642266976   recall 0.5710839332630413
deviation 5/5   iterations 540/2000   F1 0.5604552722668762   accuracy 0.6602067183462532   precision 0.5561390583925795   recall 0.5873558813935011
deviation 5/5   iterations 550/2000   F1 0.5431671189876729   accuracy 0.6304909560723514   precision 0.5488660019501249   recall 0.5811314595178312
deviation 5/5   iterations 560/2000   F1 0.5544152300860168   accuracy 0.6524547803617571   precision 0.55063829114924   recall 0.5830621137021231
deviation 5/5   iterations 570/2000   F1 0.5478464991435148   accuracy 0.6317829457364341   precision 0.5515452860225406   recall 0.5887415138568575
deviation 5/5   iterations 580/2000   F1 0.5494360825153078   accuracy 0.6511627906976745   precision 0.5472550014803536   recall 0.5768419139411686
deviation 5/5   iterations 590/2000   F1 0.5669486346502128   accuracy 0.6821705426356589   precision 0.560452549814252   recall 0.5812333231592666
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deviation 5/5   iterations 600/2000   F1 0.5437326703054733   accuracy 0.6330749354005168   precision 0.5451819369526693   recall 0.5795841569531385
deviation 5/5   iterations 610/2000   F1 0.557789235983637   accuracy 0.6705426356589147   precision 0.5516305071128644   recall 0.5749963169222604
deviation 5/5   iterations 620/2000   F1 0.55373002019858   accuracy 0.6356589147286822   precision 0.5542622133599203   recall 0.5970765831761927
deviation 5/5   iterations 630/2000   F1 0.5474062991634493   accuracy 0.6291989664082688   precision 0.5484229495016703   recall 0.5889490123489886
deviation 5/5   iterations 640/2000   F1 0.5696137641721384   accuracy 0.6705426356589147   precision 0.561723052714398   recall 0.5936966368765729
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deviation 5/5   iterations 650/2000   F1 0.5455627612693507   accuracy 0.6537467700258398   precision 0.5439358133190383   recall 0.5693779529695773
deviation 5/5   iterations 660/2000   F1 0.5662200399183401   accuracy 0.6679586563307494   precision 0.5605128549163504   recall 0.5921069901905108
deviation 5/5   iterations 670/2000   F1 0.5283477243064912   accuracy 0.6059431524547804   precision 0.5381896749084248   recall 0.5722197231128971
deviation 5/5   iterations 680/2000   F1 0.5512433520403883   accuracy 0.6511627906976745   precision 0.548044586394297   recall 0.5777744274136087
deviation 5/5   iterations 690/2000   F1 0.5581423802282698   accuracy 0.6589147286821705   precision 0.553180549530599   recall 0.5837295767498062
deviation 5/5   iterations 700/2000   F1 0.5453049494436871   accuracy 0.6472868217054264   precision 0.5430040650413032   recall 0.5713043850391538
deviation 5/5   iterations 710/2000   F1 0.5293144500415178   accuracy 0.6111111111111112   precision 0.5388891513519473   recall 0.5688714221779406
deviation 5/5   iterations 720/2000   F1 0.5593826778688383   accuracy 0.6718346253229974   precision 0.5531781897523129   recall 0.5775543445601413
deviation 5/5   iterations 730/2000   F1 0.5464318419675562   accuracy 0.6382428940568475   precision 0.5472040668119099   recall 0.5786939876020676
deviation 5/5   iterations 740/2000   F1 0.5477863046044864   accuracy 0.6369509043927648   precision 0.5474996175697356   recall 0.5834603042103338
deviation 5/5   iterations 750/2000   F1 0.5601510195442289   accuracy 0.6666666666666666   precision 0.5548734166167043   recall 0.5826319089066042
deviation 5/5   iterations 760/2000   F1 0.5430066416380611   accuracy 0.6317829457364341   precision 0.5438614525571047   recall 0.5788232744934508
deviation 5/5   iterations 770/2000   F1 0.5523735100441778   accuracy 0.6563307493540051   precision 0.5489281992795138   recall 0.5770200215959118
deviation 5/5   iterations 780/2000   F1 0.5598424507165122   accuracy 0.6524547803617571   precision 0.555697335813314   recall 0.5917084307596552
deviation 5/5   iterations 790/2000   F1 0.5643996152656017   accuracy 0.6627906976744186   precision 0.5591589334294831   recall 0.5929971595415816
deviation 5/5   iterations 800/2000   F1 0.5364703437518972   accuracy 0.6253229974160207   precision 0.5398052705343046   recall 0.5726964941445007
deviation 5/5   iterations 810/2000   F1 0.5737065116277692   accuracy 0.6705426356589147   precision 0.5686797734110818   recall 0.6026144810008526
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deviation 5/5   iterations 820/2000   F1 0.5379526677741003   accuracy 0.6149870801033591   precision 0.5452052702729521   recall 0.5839877816099276
deviation 5/5   iterations 830/2000   F1 0.5568108791977949   accuracy 0.6356589147286822   precision 0.5631932162451845   recall 0.6040615185889052
deviation 5/5   iterations 840/2000   F1 0.5536411347331468   accuracy 0.6602067183462532   precision 0.5505343660030766   recall 0.5772339967300336
deviation 5/5   iterations 850/2000   F1 0.564844041767318   accuracy 0.6666666666666666   precision 0.5583825101603636   recall 0.5897526078526907
deviation 5/5   iterations 860/2000   F1 0.5521054212956674   accuracy 0.6382428940568475   precision 0.5516530600950121   recall 0.5902736086102939
deviation 5/5   iterations 870/2000   F1 0.5736928384186339   accuracy 0.6731266149870802   precision 0.566876403651168   recall 0.6012029419695337
deviation 5/5   iterations 880/2000   F1 0.5490738513730522   accuracy 0.6317829457364341   precision 0.5509294311623553   recall 0.590402895501677
deviation 5/5   iterations 890/2000   F1 0.5500354388564309   accuracy 0.6563307493540051   precision 0.5477693491031118   recall 0.5742903629452784
deviation 5/5   iterations 900/2000   F1 0.5664436714856883   accuracy 0.6679586563307494   precision 0.5587993084818078   recall 0.5895809768399382
deviation 5/5   iterations 910/2000   F1 0.5470347704107873   accuracy 0.6304909560723514   precision 0.5489713502515375   recall 0.5879127496304829
deviation 5/5   iterations 920/2000   F1 0.5558012175683622   accuracy 0.6459948320413437   precision 0.5550326135852451   recall 0.5920413629510991
deviation 5/5   iterations 930/2000   F1 0.5503216601491961   accuracy 0.6382428940568475   precision 0.5493349954675922   recall 0.586815081787281
deviation 5/5   iterations 940/2000   F1 0.5475121081957425   accuracy 0.6291989664082688   precision 0.549940056925715   recall 0.5898815258214288
deviation 5/5   iterations 950/2000   F1 0.5587717093812781   accuracy 0.648578811369509   precision 0.5567979780785126   recall 0.5942241142761668
deviation 5/5   iterations 960/2000   F1 0.5452856736264557   accuracy 0.6421188630490956   precision 0.546763973469616   recall 0.5745169224407364
deviation 5/5   iterations 970/2000   F1 0.5490706245180913   accuracy 0.6369509043927648   precision 0.5501355013550135   recall 0.585325331155214
deviation 5/5   iterations 980/2000   F1 0.5460846471676796   accuracy 0.6317829457364341   precision 0.546496919450656   recall 0.5841468282613439
deviation 5/5   iterations 990/2000   F1 0.5497543237478477   accuracy 0.6537467700258398   precision 0.5448846335032931   recall 0.5731080068593378
deviation 5/5   iterations 1000/2000   F1 0.5374417953522431   accuracy 0.6072351421188631   precision 0.5507048433408451   recall 0.5904768849877096
deviation 5/5   iterations 1010/2000   F1 0.556804685373507   accuracy 0.6498708010335917   precision 0.5538499955465639   recall 0.5894577976679006
deviation 5/5   iterations 1020/2000   F1 0.5652982922085913   accuracy 0.661498708010336   precision 0.5597198536789195   recall 0.5938976587267134
deviation 5/5   iterations 1030/2000   F1 0.550356068339756   accuracy 0.6343669250645995   precision 0.5513353236031254   recall 0.5908563834152383
deviation 5/5   iterations 1040/2000   F1 0.5589821525991739   accuracy 0.6550387596899225   precision 0.5574975349303913   recall 0.5867704831386364
deviation 5/5   iterations 1050/2000   F1 0.5546394197087766   accuracy 0.6576227390180879   precision 0.5512394268867141   recall 0.579374403933732
deviation 5/5   iterations 1060/2000   F1 0.5630250220468613   accuracy 0.6524547803617571   precision 0.5584278466631408   recall 0.5979644979999884
deviation 5/5   iterations 1070/2000   F1 0.5524409197049572   accuracy 0.6447028423772609   precision 0.551026156581354   recall 0.5856853996567708
deviation 5/5   iterations 1080/2000   F1 0.5539659245117311   accuracy 0.6395348837209303   precision 0.5549758088007719   recall 0.5936962679539279
deviation 5/5   iterations 1090/2000   F1 0.561975443551201   accuracy 0.6602067183462532   precision 0.5583790382792523   recall 0.5904749993830793
deviation 5/5   iterations 1100/2000   F1 0.5445509668708337   accuracy 0.6317829457364341   precision 0.5467472206871488   recall 0.5823496830831505
deviation 5/5   iterations 1110/2000   F1 0.5267936978324338   accuracy 0.5917312661498708   precision 0.5566929661457024   recall 0.5798385086211894
deviation 5/5   iterations 1120/2000   F1 0.5426281562621081   accuracy 0.6214470284237726   precision 0.550502063022602   recall 0.587520666841618
deviation 5/5   iterations 1130/2000   F1 0.5433610571405847   accuracy 0.6266149870801033   precision 0.5495681856972179   recall 0.5841723659066614
deviation 5/5   iterations 1140/2000   F1 0.5560366814574563   accuracy 0.6472868217054264   precision 0.5531550023496642   recall 0.5898689414600925
deviation 5/5   iterations 1150/2000   F1 0.5414693869388568   accuracy 0.624031007751938   precision 0.5436988571234012   recall 0.5817180875148461
deviation 5/5   iterations 1160/2000   F1 0.5491540227305461   accuracy 0.6447028423772609   precision 0.5486462841453766   recall 0.5797687412498722
deviation 5/5   iterations 1170/2000   F1 0.5273791887840478   accuracy 0.6020671834625323   precision 0.5362117551415403   recall 0.5742602342626003
deviation 5/5   iterations 1180/2000   F1 0.5496991112627017   accuracy 0.6382428940568475   precision 0.5498157847369692   recall 0.5858825683148409
deviation 5/5   iterations 1190/2000   F1 0.5523314895160429   accuracy 0.6434108527131783   precision 0.5523911230222952   recall 0.5877220576144034
deviation 5/5   iterations 1200/2000   F1 0.550920593363102   accuracy 0.6369509043927648   precision 0.5515685431886549   recall 0.5896484896839801
deviation 5/5   iterations 1210/2000   F1 0.548516403425644   accuracy 0.6330749354005168   precision 0.5511031063438995   recall 0.5884341193107311
deviation 5/5   iterations 1220/2000   F1 0.5445511495345596   accuracy 0.6304909560723514   precision 0.5471043280982151   recall 0.5834538275683431
deviation 5/5   iterations 1230/2000   F1 0.5431105340337782   accuracy 0.6317829457364341   precision 0.5462297272994802   recall 0.5798915514992647
deviation 5/5   iterations 1240/2000   F1 0.5515889686294911   accuracy 0.6395348837209303   precision 0.5526509947221198   recall 0.589237345891788
deviation 5/5   iterations 1250/2000   F1 0.5434314147626914   accuracy 0.6317829457364341   precision 0.5434633283023912   recall 0.5788911562601377
deviation 5/5   iterations 1260/2000   F1 0.5315386316502981   accuracy 0.6072351421188631   precision 0.5404233111803735   recall 0.5781005140404171
deviation 5/5   iterations 1270/2000   F1 0.5331744420111404   accuracy 0.6072351421188631   precision 0.5490402020007283   recall 0.5801013045186711
deviation 5/5   iterations 1280/2000   F1 0.5166751049682677   accuracy 0.5801033591731266   precision 0.5468359777067869   recall 0.5709397255002365
deviation 5/5   iterations 1290/2000   F1 0.5552634927538223   accuracy 0.6472868217054264   precision 0.5543409741894   recall 0.5898010596934057
deviation 5/5   iterations 1300/2000   F1 0.5467344417744827   accuracy 0.6395348837209303   precision 0.5504158533070682   recall 0.5748601844662415
deviation 5/5   iterations 1310/2000   F1 0.5649061345655827   accuracy 0.6692506459948321   precision 0.5656900293017068   recall 0.5846788966982981
deviation 5/5   iterations 1320/2000   F1 0.5236579768694937   accuracy 0.5981912144702842   precision 0.5375489063228527   recall 0.5697909823663994
deviation 5/5   iterations 1330/2000   F1 0.5316131286980247   accuracy 0.6085271317829457   precision 0.5494023351915024   recall 0.5783361736277861
deviation 5/5   iterations 1340/2000   F1 0.5118448617028758   accuracy 0.5775193798449613   precision 0.5374007936507937   recall 0.5641622885796552
deviation 5/5   iterations 1350/2000   F1 0.5491923433660545   accuracy 0.6356589147286822   precision 0.5515420269498988   recall 0.5863615938737198
deviation 5/5   iterations 1360/2000   F1 0.5750023626411519   accuracy 0.6679586563307494   precision 0.5759555706933092   recall 0.600617543714669
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deviation 5/5   iterations 1370/2000   F1 0.555894449863778   accuracy 0.6472868217054264   precision 0.5527726570788771   recall 0.5888685462209655
deviation 5/5   iterations 1380/2000   F1 0.5462298539315468   accuracy 0.6304909560723514   precision 0.5487438831742141   recall 0.5861156044522896
deviation 5/5   iterations 1390/2000   F1 0.5487046119653942   accuracy 0.6382428940568475   precision 0.5479917226061798   recall 0.5832886731975813
deviation 5/5   iterations 1400/2000   F1 0.5334749284329117   accuracy 0.6149870801033591   precision 0.5452133927445919   recall 0.5754772280857695
deviation 5/5   iterations 1410/2000   F1 0.5328239536625307   accuracy 0.6046511627906976   precision 0.5452911438443353   recall 0.5839030933671889
deviation 5/5   iterations 1420/2000   F1 0.5475608208716475   accuracy 0.6395348837209303   precision 0.5481500534608323   recall 0.5805231470675691
deviation 5/5   iterations 1430/2000   F1 0.5373310441178946   accuracy 0.6188630490956072   precision 0.5434491637416308   recall 0.5790139665095302
deviation 5/5   iterations 1440/2000   F1 0.5489851301635262   accuracy 0.6382428940568475   precision 0.549813484852855   recall 0.5841533049033344
deviation 5/5   iterations 1450/2000   F1 0.5590267868593063   accuracy 0.648578811369509   precision 0.5538288402418837   recall 0.5912908103254725
deviation 5/5   iterations 1460/2000   F1 0.5786128901517368   accuracy 0.6731266149870802   precision 0.5736429988662132   recall 0.6026606783142924
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deviation 5/5   iterations 1470/2000   F1 0.5315301664307565   accuracy 0.6098191214470284   precision 0.5431475562226887   recall 0.5750954751309655
deviation 5/5   iterations 1480/2000   F1 0.5615928982454007   accuracy 0.6563307493540051   precision 0.5573210676178855   recall 0.5928549193662171
deviation 5/5   iterations 1490/2000   F1 0.5461256038647343   accuracy 0.6330749354005168   precision 0.5473383280728918   recall 0.5839073154819043
deviation 5/5   iterations 1500/2000   F1 0.5419276102782001   accuracy 0.6253229974160207   precision 0.5450229516443438   recall 0.5824110882078468
deviation 5/5   iterations 1510/2000   F1 0.538923904249632   accuracy 0.624031007751938   precision 0.5446720590821171   recall 0.5758014291079475
deviation 5/5   iterations 1520/2000   F1 0.5358580826040531   accuracy 0.6149870801033591   precision 0.5457740835464621   recall 0.5787999913754084
deviation 5/5   iterations 1530/2000   F1 0.5534931116002283   accuracy 0.6434108527131783   precision 0.5534226756722477   recall 0.5886545710868437
deviation 5/5   iterations 1540/2000   F1 0.5634612632513843   accuracy 0.6563307493540051   precision 0.5588307435629264   recall 0.5945163010110366
deviation 5/5   iterations 1550/2000   F1 0.5502705397665983   accuracy 0.6382428940568475   precision 0.5487257350297262   recall 0.5848821730757138
deviation 5/5   iterations 1560/2000   F1 0.5197312221099337   accuracy 0.6007751937984496   precision 0.5286557427972354   recall 0.5604619944499277
deviation 5/5   iterations 1570/2000   F1 0.531558813290145   accuracy 0.6175710594315246   precision 0.5357361850380817   recall 0.5694031216922498
deviation 5/5   iterations 1580/2000   F1 0.5368136908388877   accuracy 0.6291989664082688   precision 0.539393819699543   recall 0.5703844559280499
deviation 5/5   iterations 1590/2000   F1 0.5298534509468172   accuracy 0.6214470284237726   precision 0.5353838810574846   recall 0.5611744250689005
deviation 5/5   iterations 1600/2000   F1 0.5278264042272037   accuracy 0.6072351421188631   precision 0.5429987925906293   recall 0.569522078749572
deviation 5/5   iterations 1610/2000   F1 0.5265169462067866   accuracy 0.6098191214470284   precision 0.5424095298737133   recall 0.5647877764286139
deviation 5/5   iterations 1620/2000   F1 0.5281189601714656   accuracy 0.6136950904392765   precision 0.5400915635071234   recall 0.5632046063845425
deviation 5/5   iterations 1630/2000   F1 0.5301592691201003   accuracy 0.6059431524547804   precision 0.5439519984339188   recall 0.5774075133474162
deviation 5/5   iterations 1640/2000   F1 0.5395486064327953   accuracy 0.6266149870801033   precision 0.5454836078385402   recall 0.5772553122606358
deviation 5/5   iterations 1650/2000   F1 0.5269349826689894   accuracy 0.6111111111111112   precision 0.5373869626167316   recall 0.5645482636491747
deviation 5/5   iterations 1660/2000   F1 0.5254895385384201   accuracy 0.6007751937984496   precision 0.5422682294178472   recall 0.5704481155800214
deviation 5/5   iterations 1670/2000   F1 0.5409888108248765   accuracy 0.6356589147286822   precision 0.5453325457051544   recall 0.5714592095758545
deviation 5/5   iterations 1680/2000   F1 0.5163027187072449   accuracy 0.5956072351421189   precision 0.5264046379997992   recall 0.5578257552112987
deviation 5/5   iterations 1690/2000   F1 0.5457335748917899   accuracy 0.6382428940568475   precision 0.5467045487659178   recall 0.5789655146688153
deviation 5/5   iterations 1700/2000   F1 0.5221598638508892   accuracy 0.6020671834625323   precision 0.5339054917200888   recall 0.5613586404429892
deviation 5/5   iterations 1710/2000   F1 0.5325984969076595   accuracy 0.6124031007751938   precision 0.5416104126455736   recall 0.5748200948721474
deviation 5/5   iterations 1720/2000   F1 0.5358050408322071   accuracy 0.6214470284237726   precision 0.541094181183358   recall 0.573550796016193
deviation 5/5   iterations 1730/2000   F1 0.538518358021283   accuracy 0.6214470284237726   precision 0.542124097719495   recall 0.5786707044840252
deviation 5/5   iterations 1740/2000   F1 0.5593948856243939   accuracy 0.6498708010335917   precision 0.5543887508107197   recall 0.5921195745518472
deviation 5/5   iterations 1750/2000   F1 0.5483681953017944   accuracy 0.6317829457364341   precision 0.5488021086922613   recall 0.5885378685567967
deviation 5/5   iterations 1760/2000   F1 0.5201537629967052   accuracy 0.5943152454780362   precision 0.5351436338902619   recall 0.5677119802873972
deviation 5/5   iterations 1770/2000   F1 0.5189065429558378   accuracy 0.6007751937984496   precision 0.5312711155700983   recall 0.5572071129269757
deviation 5/5   iterations 1780/2000   F1 0.5245416866650369   accuracy 0.6046511627906976   precision 0.5354285692105737   recall 0.5662710504186902
deviation 5/5   iterations 1790/2000   F1 0.552404172199196   accuracy 0.6395348837209303   precision 0.550712371279447   recall 0.5891694641251012
deviation 5/5   iterations 1800/2000   F1 0.5441805196846604   accuracy 0.6330749354005168   precision 0.5458770011553061   recall 0.5797199204865122
deviation 5/5   iterations 1810/2000   F1 0.5609319768549513   accuracy 0.6576227390180879   precision 0.5557499142154229   recall 0.5902251567695789
deviation 5/5   iterations 1820/2000   F1 0.5552813080088947   accuracy 0.6382428940568475   precision 0.5548371226400333   recall 0.5918671084884264
deviation 5/5   iterations 1830/2000   F1 0.5642351836970897   accuracy 0.6563307493540051   precision 0.5581222371526481   recall 0.5955166962501637
deviation 5/5   iterations 1840/2000   F1 0.5366238194762416   accuracy 0.6149870801033591   precision 0.5413390663390664   recall 0.5803934912535409
deviation 5/5   iterations 1850/2000   F1 0.566024646835027   accuracy 0.6576227390180879   precision 0.5613062181555332   recall 0.5961418151764774
deviation 5/5   iterations 1860/2000   F1 0.5705989110707804   accuracy 0.665374677002584   precision 0.5684032506283145   recall 0.5957730155056548
deviation 5/5   iterations 1870/2000   F1 0.5464692054287035   accuracy 0.6343669250645995   precision 0.5496341122893403   recall 0.5831425798301464
deviation 5/5   iterations 1880/2000   F1 0.5329761525105418   accuracy 0.6175710594315246   precision 0.5389177345865694   recall 0.5722006621095702
deviation 5/5   iterations 1890/2000   F1 0.5443840172384271   accuracy 0.6343669250645995   precision 0.5449244388570231   recall 0.5794125259403858
deviation 5/5   iterations 1900/2000   F1 0.5604762497842279   accuracy 0.6459948320413437   precision 0.5573043344413765   recall 0.5988905348304377
deviation 5/5   iterations 1910/2000   F1 0.5477514850765502   accuracy 0.6266149870801033   precision 0.5502351870602258   recall 0.5929544464975672
deviation 5/5   iterations 1920/2000   F1 0.5405589714100353   accuracy 0.6266149870801033   precision 0.5433672652773777   recall 0.5788488121387684
deviation 5/5   iterations 1930/2000   F1 0.5357947155246064   accuracy 0.6227390180878553   precision 0.5423218651680379   recall 0.5725145332976872
deviation 5/5   iterations 1940/2000   F1 0.5349970237498076   accuracy 0.6201550387596899   precision 0.5420114537580312   recall 0.5747228222680725
deviation 5/5   iterations 1950/2000   F1 0.5475417254987147   accuracy 0.6343669250645995   precision 0.5458676968748671   recall 0.5837356844691519
deviation 5/5   iterations 1960/2000   F1 0.521627759294731   accuracy 0.5968992248062015   precision 0.5327836184979042   recall 0.5680297046675847
deviation 5/5   iterations 1970/2000   F1 0.5487611432784442   accuracy 0.6382428940568475   precision 0.5513558028914614   recall 0.5852894636758353
deviation 5/5   iterations 1980/2000   F1 0.5163221150866962   accuracy 0.5917312661498708   precision 0.5361083361083362   recall 0.5612739522002506
deviation 5/5   iterations 1990/2000   F1 0.5216262227676377   accuracy 0.603359173126615   precision 0.5382331138121741   recall 0.5604581412578574
deviation 5/5   iterations 2000/2000   F1 0.5211670488289059   accuracy 0.5968992248062015   precision 0.5335232523147041   recall 0.5673687182618923

