deviation 1/5   iterations 10/2000   F1 0.27942001590816484   accuracy 0.2852272727272727   precision 0.5197759714512291   recall 0.5125126420020227
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deviation 1/5   iterations 20/2000   F1 0.39086041932921145   accuracy 0.43068181818181817   precision 0.5647799365582871   recall 0.5288395236072573
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deviation 1/5   iterations 30/2000   F1 0.4074820647419073   accuracy 0.45340909090909093   precision 0.5776665344964315   recall 0.5338227596738597
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deviation 1/5   iterations 40/2000   F1 0.30871230749660006   accuracy 0.31931818181818183   precision 0.5391058683584457   recall 0.522214244990181
deviation 1/5   iterations 50/2000   F1 0.4485242670008944   accuracy 0.5318181818181819   precision 0.5638382236320381   recall 0.5266165196007522
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deviation 1/5   iterations 60/2000   F1 0.3912742724442908   accuracy 0.42727272727272725   precision 0.5795003965107057   recall 0.5359005349269231
deviation 1/5   iterations 70/2000   F1 0.3775809444012209   accuracy 0.4090909090909091   precision 0.5691911181601903   recall 0.5319897339535736
deviation 1/5   iterations 80/2000   F1 0.39610542901219314   accuracy 0.4318181818181818   precision 0.5904044409199048   recall 0.5408245484455785
deviation 1/5   iterations 90/2000   F1 0.5112573161874653   accuracy 0.6306818181818182   precision 0.6074048374306106   recall 0.5471602130588306
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deviation 1/5   iterations 100/2000   F1 0.47359228133197107   accuracy 0.5602272727272727   precision 0.600763283108644   recall 0.5421000315802008
deviation 1/5   iterations 110/2000   F1 0.40746204437888006   accuracy 0.45227272727272727   precision 0.5811855670103092   recall 0.5354614535299084
deviation 1/5   iterations 120/2000   F1 0.4880925598585891   accuracy 0.5886363636363636   precision 0.6002180808881841   recall 0.5424157244446309
deviation 1/5   iterations 130/2000   F1 0.4658030462192904   accuracy 0.5488636363636363   precision 0.5943199841395718   recall 0.5393427710500881
deviation 1/5   iterations 140/2000   F1 0.46177370030581044   accuracy 0.5397727272727273   precision 0.5974920697858843   recall 0.5406407057887695
deviation 1/5   iterations 150/2000   F1 0.4777661816767962   accuracy 0.571590909090909   precision 0.5947164948453608   recall 0.5397646581456685
deviation 1/5   iterations 160/2000   F1 0.4819213462407474   accuracy 0.5795454545454546   precision 0.5950634417129262   recall 0.5400660107371895
deviation 1/5   iterations 170/2000   F1 0.5253790375741596   accuracy 0.6625   precision 0.6046292624900873   recall 0.5482980707082841
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deviation 1/5   iterations 180/2000   F1 0.4038632756551697   accuracy 0.4431818181818182   precision 0.5926843774781919   recall 0.5412121212121213
deviation 1/5   iterations 190/2000   F1 0.4355372053630223   accuracy 0.4875   precision 0.6136498810467883   recall 0.548570475378497
deviation 1/5   iterations 200/2000   F1 0.4966093491025898   accuracy 0.6011363636363637   precision 0.6073057097541634   recall 0.5457293729372937
deviation 1/5   iterations 210/2000   F1 0.43306693306693306   accuracy 0.48409090909090907   precision 0.6117168913560667   recall 0.5478515625
deviation 1/5   iterations 220/2000   F1 0.5075494888045098   accuracy 0.6295454545454545   precision 0.5984337827121332   recall 0.5433633922138038
deviation 1/5   iterations 230/2000   F1 0.47359228133197107   accuracy 0.5602272727272727   precision 0.600763283108644   recall 0.5421000315802008
deviation 1/5   iterations 240/2000   F1 0.4628628906489014   accuracy 0.5352272727272728   precision 0.6115681998413958   recall 0.5465488985736516
deviation 1/5   iterations 250/2000   F1 0.4939826616674945   accuracy 0.5829545454545455   precision 0.6303033306899286   recall 0.5546254499742872
deviation 1/5   iterations 260/2000   F1 0.4713323073524094   accuracy 0.5488636363636363   precision 0.6151367961934973   recall 0.5479961156824157
deviation 1/5   iterations 270/2000   F1 0.4817916697823974   accuracy 0.5704545454545454   precision 0.610725614591594   recall 0.5463447016845075
deviation 1/5   iterations 280/2000   F1 0.4971428571428571   accuracy 0.5909090909090909   precision 0.626486915146709   recall 0.5532598714416896
deviation 1/5   iterations 290/2000   F1 0.4927761133526308   accuracy 0.5863636363636363   precision 0.619746233148295   recall 0.5503763631435185
deviation 1/5   iterations 300/2000   F1 0.4849079072598237   accuracy 0.571590909090909   precision 0.6196966693100714   recall 0.5500582977069569
deviation 1/5   iterations 310/2000   F1 0.48768028846153844   accuracy 0.5772727272727273   precision 0.6187549563838224   recall 0.5497673645729478
deviation 1/5   iterations 320/2000   F1 0.4937410263054536   accuracy 0.5988636363636364   precision 0.6018536875495638   recall 0.5434059405940594
deviation 1/5   iterations 330/2000   F1 0.4904113389606598   accuracy 0.5920454545454545   precision 0.6021510705789057   recall 0.5433094651459672
deviation 1/5   iterations 340/2000   F1 0.48418352807067544   accuracy 0.5886363636363636   precision 0.5877279936558287   recall 0.5372631578947369
deviation 1/5   iterations 350/2000   F1 0.4958276248598829   accuracy 0.6079545454545454   precision 0.5945182394924663   recall 0.5407132830555245
deviation 1/5   iterations 360/2000   F1 0.47005741657587585   accuracy 0.553409090909091   precision 0.6010606661379857   recall 0.542164906349034
deviation 1/5   iterations 370/2000   F1 0.4594433411458799   accuracy 0.5318181818181819   precision 0.6054718477398889   recall 0.5440114992451035
deviation 1/5   iterations 380/2000   F1 0.49014490939351185   accuracy 0.5897727272727272   precision 0.6050257731958764   recall 0.5444255756298777
deviation 1/5   iterations 390/2000   F1 0.517496294220714   accuracy 0.6397727272727273   precision 0.6125594766058684   recall 0.5498707116623022
deviation 1/5   iterations 400/2000   F1 0.49547650417215633   accuracy 0.5920454545454545   precision 0.618804520222046   recall 0.5501467057882101
deviation 1/5   iterations 410/2000   F1 0.4952866953925793   accuracy 0.6011363636363637   precision 0.6031423473433782   recall 0.5440164770954625
deviation 1/5   iterations 420/2000   F1 0.46146062445846137   accuracy 0.5409090909090909   precision 0.5939730372720063   recall 0.5391743631066758
deviation 1/5   iterations 430/2000   F1 0.4911033899358145   accuracy 0.5875   precision 0.6120638382236321   recall 0.5472540506084403
deviation 1/5   iterations 440/2000   F1 0.5142649634724655   accuracy 0.6329545454545454   precision 0.6128568596352102   recall 0.5495541325034413
deviation 1/5   iterations 450/2000   F1 0.4968699730604493   accuracy 0.5977272727272728   precision 0.6136994448850119   recall 0.5482348241132068
deviation 1/5   iterations 460/2000   F1 0.49325027300544716   accuracy 0.5943181818181819   precision 0.6076030927835052   recall 0.5456209843919917
deviation 1/5   iterations 470/2000   F1 0.4950576967777906   accuracy 0.5988636363636364   precision 0.606017049960349   recall 0.5451192051932437
deviation 1/5   iterations 480/2000   F1 0.49480493228219125   accuracy 0.5965909090909091   precision 0.6088917525773196   recall 0.546223680957716
deviation 1/5   iterations 490/2000   F1 0.506736273722894   accuracy 0.615909090909091   precision 0.6156819984139572   recall 0.5497877514452101
deviation 1/5   iterations 500/2000   F1 0.5096549939967231   accuracy 0.6181818181818182   precision 0.6211340206185567   recall 0.5521342178800742
deviation 1/5   iterations 510/2000   F1 0.49325027300544716   accuracy 0.5943181818181819   precision 0.6076030927835052   recall 0.5456209843919917
deviation 1/5   iterations 520/2000   F1 0.5036120732310738   accuracy 0.6113636363636363   precision 0.6131046788263284   recall 0.5485211881524952
deviation 1/5   iterations 530/2000   F1 0.5098686624110352   accuracy 0.6204545454545455   precision 0.6182593180015861   recall 0.5510712986151245
deviation 1/5   iterations 540/2000   F1 0.4626882943459546   accuracy 0.5443181818181818   precision 0.5917426645519429   recall 0.5382534835779718
deviation 1/5   iterations 550/2000   F1 0.4937489956612567   accuracy 0.5931818181818181   precision 0.6111221252973831   recall 0.5470306895177361
deviation 1/5   iterations 560/2000   F1 0.5218629109526234   accuracy 0.6397727272727273   precision 0.6250495638382236   recall 0.5550275628547593
deviation 1/5   iterations 570/2000   F1 0.5041650855604343   accuracy 0.6102272727272727   precision 0.6166237113402062   recall 0.5499154110914886
deviation 1/5   iterations 580/2000   F1 0.5002578345811657   accuracy 0.6045454545454545   precision 0.6134020618556701   recall 0.5483608463148105
deviation 1/5   iterations 590/2000   F1 0.5194900041635099   accuracy 0.6363636363636364   precision 0.623116574147502   recall 0.5540011739385639
deviation 1/5   iterations 600/2000   F1 0.49141172948508804   accuracy 0.5897727272727272   precision 0.6091891356066614   recall 0.546136367206111
deviation 1/5   iterations 610/2000   F1 0.5122237126125538   accuracy 0.6238636363636364   precision 0.6201923076923077   recall 0.5520456069751845
deviation 1/5   iterations 620/2000   F1 0.5268634888129199   accuracy 0.6670454545454545   precision 0.6030432196669311   recall 0.5480274442538593
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deviation 1/5   iterations 630/2000   F1 0.5061539255733867   accuracy 0.6170454545454546   precision 0.6121629659000793   recall 0.5483963237613546
deviation 1/5   iterations 640/2000   F1 0.4813119755911518   accuracy 0.575   precision 0.6008128469468675   recall 0.5423405982639106
deviation 1/5   iterations 650/2000   F1 0.5141334502131187   accuracy 0.6306818181818182   precision 0.6157315622521808   recall 0.55060273601517
deviation 1/5   iterations 660/2000   F1 0.4854957137918564   accuracy 0.5829545454545455   precision 0.601159793814433   recall 0.5426561332560047
deviation 1/5   iterations 670/2000   F1 0.5014856006566701   accuracy 0.6102272727272727   precision 0.6082969865186361   recall 0.5464955446202953
deviation 1/5   iterations 680/2000   F1 0.5348442407265936   accuracy 0.6886363636363636   precision 0.5986320380650277   recall 0.5483302975106253
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deviation 1/5   iterations 690/2000   F1 0.5270106589147288   accuracy 0.6772727272727272   precision 0.5921887390959556   recall 0.5442857142857143
deviation 1/5   iterations 700/2000   F1 0.4836391357503348   accuracy 0.5784090909090909   precision 0.6027458366375892   recall 0.5432057274162537
deviation 1/5   iterations 710/2000   F1 0.4929695913359301   accuracy 0.5920454545454545   precision 0.6104777954004759   recall 0.5467317640769219
deviation 1/5   iterations 720/2000   F1 0.5137642446382442   accuracy 0.6431818181818182   precision 0.5978390166534496   recall 0.5439457690509584
deviation 1/5   iterations 730/2000   F1 0.5037066948821882   accuracy 0.6238636363636364   precision 0.5952121332275971   recall 0.5417175649190242
deviation 1/5   iterations 740/2000   F1 0.492600422832981   accuracy 0.6011363636363637   precision 0.5948156225218081   recall 0.5405814625660934
deviation 1/5   iterations 750/2000   F1 0.49318044974999353   accuracy 0.6   precision 0.598334655035686   recall 0.541994750656168
deviation 1/5   iterations 760/2000   F1 0.5064797271693824   accuracy 0.6215909090909091   precision 0.606413560666138   recall 0.5462518647773846
deviation 1/5   iterations 770/2000   F1 0.528830523184453   accuracy 0.6852272727272727   precision 0.5883723235527359   recall 0.5433928169433982
deviation 1/5   iterations 780/2000   F1 0.5244117647058824   accuracy 0.6659090909090909   precision 0.5982355273592387   recall 0.5458626434653833
deviation 1/5   iterations 790/2000   F1 0.5136744520202543   accuracy 0.6363636363636364   precision 0.6064631245043617   recall 0.547114562084622
deviation 1/5   iterations 800/2000   F1 0.5033827457002055   accuracy 0.6090909090909091   precision 0.615979381443299   recall 0.5496025437201908
deviation 1/5   iterations 810/2000   F1 0.5041555148612481   accuracy 0.6181818181818182   precision 0.6044805709754164   recall 0.5452836673755665
deviation 1/5   iterations 820/2000   F1 0.4844152800562455   accuracy 0.5795454545454546   precision 0.6033901665344964   recall 0.5434954857273921
deviation 1/5   iterations 830/2000   F1 0.5064797271693824   accuracy 0.6215909090909091   precision 0.606413560666138   recall 0.5462518647773846
deviation 1/5   iterations 840/2000   F1 0.5191772181921358   accuracy 0.6465909090909091   precision 0.6080987311657415   recall 0.5484906425955056
deviation 1/5   iterations 850/2000   F1 0.5254494295035051   accuracy 0.6556818181818181   precision 0.6132533703409992   recall 0.5513555274617221
deviation 1/5   iterations 860/2000   F1 0.5238634504800374   accuracy 0.6579545454545455   precision 0.6062153053132435   recall 0.5485833630886595
deviation 1/5   iterations 870/2000   F1 0.5059342334494774   accuracy 0.625   precision 0.6000198255352894   recall 0.5437782020131898
deviation 1/5   iterations 880/2000   F1 0.5304738951942031   accuracy 0.6988636363636364   precision 0.5794508326724822   recall 0.5408098320381367
deviation 1/5   iterations 890/2000   F1 0.5253972231968322   accuracy 0.6943181818181818   precision 0.5727101506740682   recall 0.5371677043812033
deviation 1/5   iterations 900/2000   F1 0.5187086010397043   accuracy 0.6625   precision 0.5879758128469469   recall 0.5411415326669564
deviation 1/5   iterations 910/2000   F1 0.5045283200241694   accuracy 0.6272727272727273   precision 0.5929817605075337   recall 0.5409615930478832
deviation 1/5   iterations 920/2000   F1 0.5281779348946826   accuracy 0.6897727272727273   precision 0.5826229183187945   recall 0.5412728476903175
deviation 1/5   iterations 930/2000   F1 0.524958077780075   accuracy 0.6795454545454546   precision 0.5851506740681999   recall 0.5413866204138662
deviation 1/5   iterations 940/2000   F1 0.5122225028767085   accuracy 0.6409090909090909   precision 0.5965503568596352   recall 0.5432542854605205
deviation 1/5   iterations 950/2000   F1 0.5043935538592028   accuracy 0.6227272727272727   precision 0.598731165741475   recall 0.5431252841462623
deviation 1/5   iterations 960/2000   F1 0.5154675815180861   accuracy 0.6602272727272728   precision 0.5825237906423474   recall 0.5385919165580182
deviation 1/5   iterations 970/2000   F1 0.5218808653561197   accuracy 0.675   precision 0.582573354480571   recall 0.5398193073448218
deviation 1/5   iterations 980/2000   F1 0.504388668097677   accuracy 0.6386363636363637   precision 0.5786082474226804   recall 0.5354976610935787
deviation 1/5   iterations 990/2000   F1 0.509900894427354   accuracy 0.6397727272727273   precision 0.5917426645519429   recall 0.5411536815425405
deviation 1/5   iterations 1000/2000   F1 0.4984395743409026   accuracy 0.6272727272727273   precision 0.5763283108643933   recall 0.5339393939393939
deviation 1/5   iterations 1010/2000   F1 0.5089855424748498   accuracy 0.6556818181818181   precision 0.5716197462331483   recall 0.533492684340142
deviation 1/5   iterations 1020/2000   F1 0.5270942904211926   accuracy 0.7227272727272728   precision 0.5555114988104679   recall 0.5318407960199005
deviation 1/5   iterations 1030/2000   F1 0.5255803923475525   accuracy 0.7102272727272727   precision 0.5609139571768438   recall 0.533164452779783
deviation 1/5   iterations 1040/2000   F1 0.5132369182421778   accuracy 0.6647727272727273   precision 0.5726110229976209   recall 0.5345569806870116
deviation 1/5   iterations 1050/2000   F1 0.5156444572851733   accuracy 0.6579545454545455   precision 0.585398493259318   recall 0.5396732654459213
deviation 1/5   iterations 1060/2000   F1 0.5276988636363636   accuracy 0.6977272727272728   precision 0.5746431403647898   recall 0.5384340547162108
deviation 1/5   iterations 1070/2000   F1 0.5080449604627627   accuracy 0.6465909090909091   precision 0.5789551942902458   recall 0.5361144644891436
deviation 1/5   iterations 1080/2000   F1 0.5028551324727342   accuracy 0.6204545454545455   precision 0.5974425059476606   recall 0.542476881859822
deviation 1/5   iterations 1090/2000   F1 0.5156444572851733   accuracy 0.6579545454545455   precision 0.585398493259318   recall 0.5396732654459213
deviation 1/5   iterations 1100/2000   F1 0.5072360384468252   accuracy 0.6556818181818181   precision 0.5674563838223632   recall 0.5316528190428569
deviation 1/5   iterations 1110/2000   F1 0.517792619283038   accuracy 0.6920454545454545   precision 0.5589314036478985   recall 0.5304187373281911
deviation 1/5   iterations 1120/2000   F1 0.5022753571298848   accuracy 0.6284090909090909   precision 0.5852993655828708   recall 0.537792820242546
deviation 1/5   iterations 1130/2000   F1 0.5037630842378962   accuracy 0.6261363636363636   precision 0.5923374306106265   recall 0.5406327188261659
deviation 1/5   iterations 1140/2000   F1 0.5171119133574007   accuracy 0.6761363636363636   precision 0.5707275971451229   recall 0.5345857645768576
deviation 1/5   iterations 1150/2000   F1 0.5127498123388158   accuracy 0.6613636363636364   precision 0.5748413957176843   recall 0.5353009935710111
deviation 1/5   iterations 1160/2000   F1 0.5228647609145498   accuracy 0.696590909090909   precision 0.5656720856463124   recall 0.5340671701751567
deviation 1/5   iterations 1170/2000   F1 0.5167048054919908   accuracy 0.6727272727272727   precision 0.5729579698651863   recall 0.5353200883002207
deviation 1/5   iterations 1180/2000   F1 0.5221073961499494   accuracy 0.6954545454545454   precision 0.5650277557494052   recall 0.5336487907465826
deviation 1/5   iterations 1190/2000   F1 0.5159190734939658   accuracy 0.7022727272727273   precision 0.5480769230769231   recall 0.5259531772575251
deviation 1/5   iterations 1200/2000   F1 0.5289919714540589   accuracy 0.7443181818181818   precision 0.5469369547977796   recall 0.5299401670895281
deviation 1/5   iterations 1210/2000   F1 0.5290999387465588   accuracy 0.7329545454545454   precision 0.5529837430610627   recall 0.5317797712391584
deviation 1/5   iterations 1220/2000   F1 0.5283387385423196   accuracy 0.7318181818181818   precision 0.5523394131641555   recall 0.5312805474095796
deviation 1/5   iterations 1230/2000   F1 0.5203555406481908   accuracy 0.6897727272727273   precision 0.5659694686756542   recall 0.5335621662852784
deviation 1/5   iterations 1240/2000   F1 0.5151819848127782   accuracy 0.7011363636363637   precision 0.5474325931800159   recall 0.5255337882456527
deviation 1/5   iterations 1250/2000   F1 0.523720652457915   accuracy 0.7363636363636363   precision 0.542426645519429   recall 0.5263190259500676
deviation 1/5   iterations 1260/2000   F1 0.5183399328354469   accuracy 0.6897727272727273   precision 0.5618061062648692   recall 0.5315938155169465
deviation 1/5   iterations 1270/2000   F1 0.5427148217077687   accuracy 0.7420454545454546   precision 0.5706284694686756   recall 0.5426726558113419
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deviation 1/5   iterations 1280/2000   F1 0.5103744463298874   accuracy 0.6806818181818182   precision 0.5524881046788264   recall 0.5264566457020442
deviation 1/5   iterations 1290/2000   F1 0.513687015503876   accuracy 0.6681818181818182   precision 0.5703806502775575   recall 0.5338095238095238
deviation 1/5   iterations 1300/2000   F1 0.5155025605056149   accuracy 0.6681818181818182   precision 0.5745440126883425   recall 0.5356744704570792
deviation 1/5   iterations 1310/2000   F1 0.5192907141798273   accuracy 0.6943181818181818   precision 0.5602200634417129   recall 0.5312389522738229
deviation 1/5   iterations 1320/2000   F1 0.524313963872097   accuracy 0.6897727272727273   precision 0.5742961934972244   recall 0.5374490197425537
deviation 1/5   iterations 1330/2000   F1 0.5395513577331759   accuracy 0.7340909090909091   precision 0.5702815226011102   recall 0.5411300614920524
deviation 1/5   iterations 1340/2000   F1 0.5049465165433051   accuracy 0.6818181818181818   precision 0.5406423473433782   recall 0.5208253968253969
deviation 1/5   iterations 1350/2000   F1 0.5119951778179627   accuracy 0.6602272727272728   precision 0.5741970658207771   recall 0.5349360264645652
deviation 1/5   iterations 1360/2000   F1 0.5044963782971162   accuracy 0.6488636363636363   precision 0.567753766851705   recall 0.5313749792000183
deviation 1/5   iterations 1370/2000   F1 0.5128781218455928   accuracy 0.6909090909090909   precision 0.5499603489294211   recall 0.5259820600061862
deviation 1/5   iterations 1380/2000   F1 0.5241203832373517   accuracy 0.7147727272727272   precision 0.5551645519429025   recall 0.5307545644830374
deviation 1/5   iterations 1390/2000   F1 0.5254738271654251   accuracy 0.7238636363636364   precision 0.55199246629659   recall 0.5301196603283301
deviation 1/5   iterations 1400/2000   F1 0.5111111111111112   accuracy 0.6818181818181818   precision 0.5531324345757336   recall 0.5268429487179487
deviation 1/5   iterations 1410/2000   F1 0.519135335746578   accuracy 0.7215909090909091   precision 0.5423770816812055   recall 0.5247154471544715
deviation 1/5   iterations 1420/2000   F1 0.5273551905544487   accuracy 0.7340909090909091   precision 0.5494647105471848   recall 0.5299960926933366
deviation 1/5   iterations 1430/2000   F1 0.5255625614623706   accuracy 0.7352272727272727   precision 0.5459456780333068   recall 0.5281765059005008
deviation 1/5   iterations 1440/2000   F1 0.549926430281873   accuracy 0.7784090909090909   precision 0.562103489294211   recall 0.5460158466383276
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deviation 1/5   iterations 1450/2000   F1 0.5474567819148937   accuracy 0.775   precision 0.5601704996034893   recall 0.5438837478311163
deviation 1/5   iterations 1460/2000   F1 0.5273551905544487   accuracy 0.7340909090909091   precision 0.5494647105471848   recall 0.5299960926933366
deviation 1/5   iterations 1470/2000   F1 0.5346569331035004   accuracy 0.7375   precision 0.5597244250594766   recall 0.5360845966685382
deviation 1/5   iterations 1480/2000   F1 0.5308563235319177   accuracy 0.7511363636363636   precision 0.5466395717684378   recall 0.530774010514181
deviation 1/5   iterations 1490/2000   F1 0.532048922158138   accuracy 0.7488636363636364   precision 0.5495142743854085   recall 0.532114183764496
deviation 1/5   iterations 1500/2000   F1 0.5389374412367731   accuracy 0.7511363636363636   precision 0.559129659000793   recall 0.5380302680129743
deviation 1/5   iterations 1510/2000   F1 0.5203022661639993   accuracy 0.7022727272727273   precision 0.5564036478984933   recall 0.5301129898653119
deviation 1/5   iterations 1520/2000   F1 0.5166404514018925   accuracy 0.7   precision 0.5509516256938938   recall 0.5272022439205102
deviation 1/5   iterations 1530/2000   F1 0.5374836675148098   accuracy 0.7568181818181818   precision 0.554024583663759   recall 0.536122618061309
deviation 1/5   iterations 1540/2000   F1 0.5374836675148098   accuracy 0.7568181818181818   precision 0.554024583663759   recall 0.536122618061309
deviation 1/5   iterations 1550/2000   F1 0.5541078537821209   accuracy 0.8011363636363636   precision 0.5583366375892149   recall 0.5512636243861541
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deviation 1/5   iterations 1560/2000   F1 0.554367201426025   accuracy 0.7727272727272727   precision 0.5713719270420301   recall 0.55
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deviation 1/5   iterations 1570/2000   F1 0.5435260753254461   accuracy 0.7397727272727272   precision 0.5735031720856463   recall 0.5437724599502652
deviation 1/5   iterations 1580/2000   F1 0.5513157894736842   accuracy 0.7886363636363637   precision 0.5595757335448057   recall 0.5475173940543959
deviation 1/5   iterations 1590/2000   F1 0.5449326792610375   accuracy 0.7522727272727273   precision 0.5681007137192704   recall 0.5432633269309487
deviation 1/5   iterations 1600/2000   F1 0.5285055518067752   accuracy 0.7284090909090909   precision 0.5545697858842189   recall 0.532045171758919
deviation 1/5   iterations 1610/2000   F1 0.5218685780161395   accuracy 0.6920454545454545   precision 0.5672581284694687   recall 0.534380759949075
deviation 1/5   iterations 1620/2000   F1 0.5450137488778395   accuracy 0.7715909090909091   precision 0.5582375099127677   recall 0.5418242491657397
deviation 1/5   iterations 1630/2000   F1 0.5488171097927195   accuracy 0.7852272727272728   precision 0.5576427438540841   recall 0.5451654870435636
deviation 1/5   iterations 1640/2000   F1 0.5308563235319177   accuracy 0.7511363636363636   precision 0.5466395717684378   recall 0.530774010514181
deviation 1/5   iterations 1650/2000   F1 0.5461243737105806   accuracy 0.7772727272727272   precision 0.5572957969865187   recall 0.5426820262885836
deviation 1/5   iterations 1660/2000   F1 0.5453198653198653   accuracy 0.7602272727272728   precision 0.5642842981760507   recall 0.5427915109824397
deviation 1/5   iterations 1670/2000   F1 0.5425280921342025   accuracy 0.7488636363636364   precision 0.5661677240285488   recall 0.5415321796616761
deviation 1/5   iterations 1680/2000   F1 0.5498069498069498   accuracy 0.759090909090909   precision 0.5719666931007137   recall 0.546875
deviation 1/5   iterations 1690/2000   F1 0.5556330851366612   accuracy 0.75   precision 0.5876288659793815   recall 0.5531393706230652
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deviation 1/5   iterations 1700/2000   F1 0.5688311688311688   accuracy 0.8113636363636364   precision 0.57246233148295   recall 0.5659866401877596
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deviation 1/5   iterations 1710/2000   F1 0.5519094766619519   accuracy 0.7852272727272728   precision 0.5618061062648692   recall 0.5478699411702608
deviation 1/5   iterations 1720/2000   F1 0.5625174214275657   accuracy 0.803409090909091   precision 0.5679520222045995   recall 0.5588974449850179
deviation 1/5   iterations 1730/2000   F1 0.5439069314983296   accuracy 0.7784090909090909   precision 0.5537767644726408   recall 0.5407224958949097
deviation 1/5   iterations 1740/2000   F1 0.543949558057179   accuracy 0.7545454545454545   precision 0.5652260111022998   recall 0.5421268286436826
deviation 1/5   iterations 1750/2000   F1 0.5721599362691691   accuracy 0.8113636363636364   precision 0.5766256938937351   recall 0.5687753013924107
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deviation 1/5   iterations 1760/2000   F1 0.5767486601621548   accuracy 0.8090909090909091   precision 0.5836637589214908   recall 0.5720259429936849
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deviation 1/5   iterations 1770/2000   F1 0.5449326792610375   accuracy 0.7522727272727273   precision 0.5681007137192704   recall 0.5432633269309487
deviation 1/5   iterations 1780/2000   F1 0.5632798573975044   accuracy 0.7772727272727272   precision 0.5822759714512292   recall 0.5576388888888889
deviation 1/5   iterations 1790/2000   F1 0.5739512286274875   accuracy 0.8056818181818182   precision 0.5817307692307692   recall 0.5689734500318934
deviation 1/5   iterations 1800/2000   F1 0.5637748478116615   accuracy 0.7852272727272728   precision 0.5784595559080095   recall 0.5581349443164186
deviation 1/5   iterations 1810/2000   F1 0.5512758929033307   accuracy 0.7647727272727273   precision 0.5710249801744647   recall 0.5477034595827195
deviation 1/5   iterations 1820/2000   F1 0.5730276223144972   accuracy 0.8045454545454546   precision 0.581086439333862   recall 0.5679853723404256
deviation 1/5   iterations 1830/2000   F1 0.5807120247882469   accuracy 0.821590909090909   precision 0.5824246629659001   recall 0.5791537262461477
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deviation 1/5   iterations 1840/2000   F1 0.5721925133689839   accuracy 0.7818181818181819   precision 0.5931800158604282   recall 0.5652777777777778
deviation 1/5   iterations 1850/2000   F1 0.5763248988347716   accuracy 0.8204545454545454   precision 0.5776169706582078   recall 0.5751295336787565
deviation 1/5   iterations 1860/2000   F1 0.5519094766619519   accuracy 0.7852272727272728   precision 0.5618061062648692   recall 0.5478699411702608
deviation 1/5   iterations 1870/2000   F1 0.5629032426723553   accuracy 0.7840909090909091   precision 0.5778152260111022   recall 0.557351598173516
deviation 1/5   iterations 1880/2000   F1 0.5791627741447573   accuracy 0.8045454545454546   precision 0.5894131641554322   recall 0.5730837789661318
deviation 1/5   iterations 1890/2000   F1 0.5634920634920635   accuracy 0.7886363636363637   precision 0.576229183187946   recall 0.5580464975845411
deviation 1/5   iterations 1900/2000   F1 0.5800840232381982   accuracy 0.8375   precision 0.5747918318794607   recall 0.5874896725659868
deviation 1/5   iterations 1910/2000   F1 0.540464144744492   accuracy 0.7193181818181819   precision 0.5827220459952418   recall 0.5450378126033015
deviation 1/5   iterations 1920/2000   F1 0.5683599714954698   accuracy 0.8193181818181818   precision 0.5686459159397304   recall 0.5680798771121351
deviation 1/5   iterations 1930/2000   F1 0.5681794234966508   accuracy 0.8147727272727273   precision 0.5702319587628866   recall 0.5664019025527478
deviation 1/5   iterations 1940/2000   F1 0.5753707766963774   accuracy 0.8193181818181818   precision 0.5769726407613006   recall 0.5739180618522353
deviation 1/5   iterations 1950/2000   F1 0.5766640426834602   accuracy 0.825   precision 0.5760309278350515   recall 0.5773224456877867
deviation 1/5   iterations 1960/2000   F1 0.5467327449397221   accuracy 0.7477272727272727   precision 0.5738501189532117   recall 0.5454614797864226
deviation 1/5   iterations 1970/2000   F1 0.5495409752571645   accuracy 0.7738636363636363   precision 0.5636895321173672   recall 0.5457397107897664
deviation 1/5   iterations 1980/2000   F1 0.5725388601036269   accuracy 0.8159090909090909   precision 0.5750396510705789   recall 0.5704055059523809
deviation 1/5   iterations 1990/2000   F1 0.5557989926002298   accuracy 0.7863636363636364   precision 0.5666137985725614   recall 0.5512996679262567
deviation 1/5   iterations 2000/2000   F1 0.5483557911238849   accuracy 0.75   precision 0.5751387787470261   recall 0.5466117328741852

deviation 2/5   iterations 10/2000   F1 0.45224721217884856   accuracy 0.5306818181818181   precision 0.5771121351766513   recall 0.5324128597698299
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deviation 2/5   iterations 20/2000   F1 0.42609052117688706   accuracy 0.48295454545454547   precision 0.5788325652841781   recall 0.5337212725246536
deviation 2/5   iterations 30/2000   F1 0.2754186855712009   accuracy 0.2806818181818182   precision 0.513394777265745   recall 0.5086507936507937
deviation 2/5   iterations 40/2000   F1 0.4091304958561596   accuracy 0.45681818181818185   precision 0.5722273425499231   recall 0.5315358819584172
deviation 2/5   iterations 50/2000   F1 0.38134628851540614   accuracy 0.4159090909090909   precision 0.5613517665130568   recall 0.5281313566723578
deviation 2/5   iterations 60/2000   F1 0.471317855007933   accuracy 0.5443181818181818   precision 0.621904761904762   recall 0.5512566137566137
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deviation 2/5   iterations 70/2000   F1 0.41650439803934736   accuracy 0.46136363636363636   precision 0.5953917050691244   recall 0.5418872322859501
deviation 2/5   iterations 80/2000   F1 0.4386206896551723   accuracy 0.4954545454545455   precision 0.6023963133640553   recall 0.5437229437229437
deviation 2/5   iterations 90/2000   F1 0.4214673299775299   accuracy 0.46704545454545454   precision 0.6027342549923195   recall 0.5449810606060607
deviation 2/5   iterations 100/2000   F1 0.4761202150378818   accuracy 0.5511363636363636   precision 0.6257757296466974   recall 0.5528678278476828
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deviation 2/5   iterations 110/2000   F1 0.49239578497165126   accuracy 0.5806818181818182   precision 0.6260829493087557   recall 0.5532776669990029
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deviation 2/5   iterations 120/2000   F1 0.45709080006457714   accuracy 0.5136363636363637   precision 0.6374193548387097   recall 0.5585474269498794
deviation 2/5   iterations 130/2000   F1 0.5002700868433081   accuracy 0.5806818181818182   precision 0.654900153609831   recall 0.5652176162586147
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deviation 2/5   iterations 140/2000   F1 0.4853152893751799   accuracy 0.5568181818181818   precision 0.6495852534562212   recall 0.5628904009795868
deviation 2/5   iterations 150/2000   F1 0.4624013501496504   accuracy 0.5261363636363636   precision 0.6280491551459293   recall 0.5541085078099036
deviation 2/5   iterations 160/2000   F1 0.43059735682819383   accuracy 0.4784090909090909   precision 0.6133026113671275   recall 0.5492521367521368
deviation 2/5   iterations 170/2000   F1 0.4709523809523809   accuracy 0.5409090909090909   precision 0.6282027649769586   recall 0.5539495798319328
deviation 2/5   iterations 180/2000   F1 0.5203094531648547   accuracy 0.6102272727272727   precision 0.667557603686636   recall 0.5712069937958263
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deviation 2/5   iterations 190/2000   F1 0.5425244333541277   accuracy 0.6477272727272727   precision 0.6723809523809524   recall 0.5754040993167805
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deviation 2/5   iterations 200/2000   F1 0.5027051063514415   accuracy 0.5840909090909091   precision 0.6568356374807988   recall 0.5660725102117944
deviation 2/5   iterations 210/2000   F1 0.5087280522662312   accuracy 0.6022727272727273   precision 0.6424577572964669   recall 0.5606305472308956
deviation 2/5   iterations 220/2000   F1 0.5119183648820241   accuracy 0.6034090909090909   precision 0.651336405529954   recall 0.5643134674437551
deviation 2/5   iterations 230/2000   F1 0.49997250581960156   accuracy 0.5772727272727273   precision 0.6611981566820277   recall 0.5677980556029336
deviation 2/5   iterations 240/2000   F1 0.5268657746449487   accuracy 0.6193181818181818   precision 0.6727188940092166   recall 0.5737083342073798
deviation 2/5   iterations 250/2000   F1 0.4579752358694213   accuracy 0.5136363636363637   precision 0.6415360983102919   recall 0.5603671032700703
deviation 2/5   iterations 260/2000   F1 0.5194920634920634   accuracy 0.6090909090909091   precision 0.6669124423963133   recall 0.5708991256687981
deviation 2/5   iterations 270/2000   F1 0.5299074450858146   accuracy 0.6375   precision 0.6501075268817205   recall 0.5656000945199888
deviation 2/5   iterations 280/2000   F1 0.5203624044543371   accuracy 0.6204545454545455   precision 0.6486635944700461   recall 0.5639703666100861
deviation 2/5   iterations 290/2000   F1 0.5366929568537648   accuracy 0.6488636363636363   precision 0.6524423963133641   recall 0.5674199439118242
deviation 2/5   iterations 300/2000   F1 0.5347855240334352   accuracy 0.6443181818181818   precision 0.6539784946236559   recall 0.5676799758015729
deviation 2/5   iterations 310/2000   F1 0.49898440744516176   accuracy 0.571590909090909   precision 0.6703225806451614   recall 0.571590909090909
deviation 2/5   iterations 320/2000   F1 0.5199016997747287   accuracy 0.6215909090909091   precision 0.6451920122887864   recall 0.5626126126126126
deviation 2/5   iterations 330/2000   F1 0.5446367572126496   accuracy 0.6806818181818182   precision 0.6293394777265745   recall 0.5610909892967426
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deviation 2/5   iterations 340/2000   F1 0.5137823070783964   accuracy 0.6011363636363637   precision 0.6623963133640554   recall 0.5687722475488666
deviation 2/5   iterations 350/2000   F1 0.5288721253946215   accuracy 0.6477272727272727   precision 0.6312135176651306   recall 0.5586189480156574
deviation 2/5   iterations 360/2000   F1 0.515960882885303   accuracy 0.6090909090909091   precision 0.6545622119815668   recall 0.5658511301106288
deviation 2/5   iterations 370/2000   F1 0.5310292226682247   accuracy 0.6284090909090909   precision 0.6696466973886328   recall 0.5729481515926529
deviation 2/5   iterations 380/2000   F1 0.5218331271604795   accuracy 0.6261363636363636   precision 0.6436559139784945   recall 0.5622391174716757
deviation 2/5   iterations 390/2000   F1 0.5422759059122695   accuracy 0.6625   precision 0.6478341013824884   recall 0.5667799094058087
deviation 2/5   iterations 400/2000   F1 0.5467032967032968   accuracy 0.6727272727272727   precision 0.6454070660522273   recall 0.5668657711673325
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deviation 2/5   iterations 410/2000   F1 0.5292722632657152   accuracy 0.6329545454545454   precision 0.6557603686635944   recall 0.5675942319588728
deviation 2/5   iterations 420/2000   F1 0.5510458590782834   accuracy 0.6829545454545455   precision 0.6429800307219662   recall 0.5670852648815702
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deviation 2/5   iterations 430/2000   F1 0.5511873247409296   accuracy 0.6897727272727273   precision 0.6345007680491552   recall 0.5644263144263144
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deviation 2/5   iterations 440/2000   F1 0.58987674664403   accuracy 0.7454545454545455   precision 0.6578801843317972   recall 0.5852233152682238
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deviation 2/5   iterations 450/2000   F1 0.5731022752698306   accuracy 0.7215909090909091   precision 0.6484485407066052   recall 0.5756209935897436
deviation 2/5   iterations 460/2000   F1 0.5371767436486821   accuracy 0.6534090909090909   precision 0.64678955453149   recall 0.56550086639907
deviation 2/5   iterations 470/2000   F1 0.5075139633362346   accuracy 0.5988636363636364   precision 0.6446390168970815   recall 0.5614095500459138
deviation 2/5   iterations 480/2000   F1 0.5439140815648877   accuracy 0.6647727272727273   precision 0.6491244239631336   recall 0.5675382354905496
deviation 2/5   iterations 490/2000   F1 0.4921443971984838   accuracy 0.5738636363636364   precision 0.638678955453149   recall 0.5583880047186407
deviation 2/5   iterations 500/2000   F1 0.4865309065136768   accuracy 0.5659090909090909   precision 0.634162826420891   recall 0.5564273125248735
deviation 2/5   iterations 510/2000   F1 0.5085682374560874   accuracy 0.6090909090909091   precision 0.6298617511520737   recall 0.5557266480691448
deviation 2/5   iterations 520/2000   F1 0.5364542319978716   accuracy 0.6647727272727273   precision 0.6285407066052228   recall 0.5590240158902131
deviation 2/5   iterations 530/2000   F1 0.5312637828668363   accuracy 0.6431818181818182   precision 0.6450998463901689   recall 0.5639712853853447
deviation 2/5   iterations 540/2000   F1 0.5713874941073604   accuracy 0.7170454545454545   precision 0.6499846390168971   recall 0.5753785913683638
deviation 2/5   iterations 550/2000   F1 0.5536005213424569   accuracy 0.6886363636363636   precision 0.642089093701997   recall 0.567459553439635
deviation 2/5   iterations 560/2000   F1 0.45619719204624865   accuracy 0.5136363636363637   precision 0.6333026113671275   recall 0.5567340833372559
deviation 2/5   iterations 570/2000   F1 0.5309004857391955   accuracy 0.6352272727272728   precision 0.6570506912442396   recall 0.5682692307692307
deviation 2/5   iterations 580/2000   F1 0.5606836750037592   accuracy 0.7170454545454545   precision 0.625284178187404   recall 0.5647301587301587
deviation 2/5   iterations 590/2000   F1 0.5670505003954588   accuracy 0.7306818181818182   precision 0.6247926267281106   recall 0.5671786933396841
deviation 2/5   iterations 600/2000   F1 0.5551234687925335   accuracy 0.7045454545454546   precision 0.6264208909370199   recall 0.5631231784015953
deviation 2/5   iterations 610/2000   F1 0.49807636127001886   accuracy 0.5806818181818182   precision 0.6466666666666667   recall 0.5618022328548644
deviation 2/5   iterations 620/2000   F1 0.5407307569531358   accuracy 0.6488636363636363   precision 0.6647926267281106   recall 0.572433238268084
deviation 2/5   iterations 630/2000   F1 0.5495064935064935   accuracy 0.6920454545454545   precision 0.6275576036866359   recall 0.5617857142857143
deviation 2/5   iterations 640/2000   F1 0.567270400447708   accuracy 0.7284090909090909   precision 0.6276190476190476   recall 0.5679664389120134
deviation 2/5   iterations 650/2000   F1 0.5495194146857114   accuracy 0.6852272727272727   precision 0.636036866359447   recall 0.5644744199049483
deviation 2/5   iterations 660/2000   F1 0.5470819906910133   accuracy 0.6863636363636364   precision 0.6284485407066052   recall 0.5614162911082254
deviation 2/5   iterations 670/2000   F1 0.5362502753910553   accuracy 0.6602272727272728   precision 0.6341935483870967   recall 0.5609375
deviation 2/5   iterations 680/2000   F1 0.5215120796516145   accuracy 0.6238636363636364   precision 0.6464823348694317   recall 0.5632642663043478
deviation 2/5   iterations 690/2000   F1 0.5438235294117647   accuracy 0.6795454545454546   precision 0.628694316436252   recall 0.5606837606837607
deviation 2/5   iterations 700/2000   F1 0.5470837406321278   accuracy 0.6840909090909091   precision 0.6312749615975423   recall 0.5623253344535266
deviation 2/5   iterations 710/2000   F1 0.5404406239668179   accuracy 0.6840909090909091   precision 0.6148079877112136   recall 0.5552970979751526
deviation 2/5   iterations 720/2000   F1 0.5333115488249758   accuracy 0.6625   precision 0.6231336405529954   recall 0.5565411700975081
deviation 2/5   iterations 730/2000   F1 0.5237820031208461   accuracy 0.6488636363636363   precision 0.6153917050691244   recall 0.552124966693312
deviation 2/5   iterations 740/2000   F1 0.5232879053274662   accuracy 0.6397727272727273   precision 0.6266973886328726   recall 0.5561546840958606
deviation 2/5   iterations 750/2000   F1 0.5429820964876315   accuracy 0.6761363636363636   precision 0.6308755760368663   recall 0.5612068965517242
deviation 2/5   iterations 760/2000   F1 0.5478993197939765   accuracy 0.6875   precision 0.6290937019969278   recall 0.5618363118363118
deviation 2/5   iterations 770/2000   F1 0.5394868720053786   accuracy 0.6647727272727273   precision 0.636774193548387   recall 0.5624495017506059
deviation 2/5   iterations 780/2000   F1 0.5274259264392028   accuracy 0.6477272727272727   precision 0.6270967741935484   recall 0.5569147970217754
deviation 2/5   iterations 790/2000   F1 0.5452852985205054   accuracy 0.6909090909090909   precision 0.618678955453149   recall 0.5578186085217715
deviation 2/5   iterations 800/2000   F1 0.5372359470103831   accuracy 0.6795454545454546   precision 0.6122273425499232   recall 0.5536602993107744
deviation 2/5   iterations 810/2000   F1 0.5373085695666341   accuracy 0.6772727272727272   precision 0.6150537634408602   recall 0.5546240059743639
deviation 2/5   iterations 820/2000   F1 0.5615240575097845   accuracy 0.7181818181818181   precision 0.6259293394777266   recall 0.5652212654102942
deviation 2/5   iterations 830/2000   F1 0.5667613636363635   accuracy 0.7227272727272728   precision 0.6326267281105991   recall 0.5690273807011148
deviation 2/5   iterations 840/2000   F1 0.5535604476694134   accuracy 0.7   precision 0.6279569892473118   recall 0.5630911481528609
deviation 2/5   iterations 850/2000   F1 0.5542954946353618   accuracy 0.7034090909090909   precision 0.6257757296466975   recall 0.5626668462687664
deviation 2/5   iterations 860/2000   F1 0.5602790881705693   accuracy 0.7215909090909091   precision 0.6196313364055299   recall 0.5630521516101453
deviation 2/5   iterations 870/2000   F1 0.5476533922010854   accuracy 0.7068181818181818   precision 0.6071274961597541   recall 0.5549545801262048
deviation 2/5   iterations 880/2000   F1 0.547288798996931   accuracy 0.7011363636363637   precision 0.6121351766513057   recall 0.5563563823216977
deviation 2/5   iterations 890/2000   F1 0.5565079365079365   accuracy 0.7113636363636363   precision 0.622058371735791   recall 0.562321568627451
deviation 2/5   iterations 900/2000   F1 0.552373938233417   accuracy 0.7056818181818182   precision 0.6188325652841782   recall 0.5599875930521092
deviation 2/5   iterations 910/2000   F1 0.5528379825207803   accuracy 0.6920454545454545   precision 0.6357910906298003   recall 0.5652826354097741
deviation 2/5   iterations 920/2000   F1 0.5461818181818181   accuracy 0.6897727272727273   precision 0.6221505376344085   recall 0.5591666666666667
deviation 2/5   iterations 930/2000   F1 0.5503270348837209   accuracy 0.6931818181818182   precision 0.6282027649769585   recall 0.5622170933748412
deviation 2/5   iterations 940/2000   F1 0.5536579457364341   accuracy 0.6954545454545454   precision 0.6336098310291859   recall 0.5648411548255894
deviation 2/5   iterations 950/2000   F1 0.5341569555185608   accuracy 0.6704545454545454   precision 0.615299539170507   recall 0.5540096362516478
deviation 2/5   iterations 960/2000   F1 0.5365091450737464   accuracy 0.6761363636363636   precision 0.6144086021505376   recall 0.5542237442922374
deviation 2/5   iterations 970/2000   F1 0.5341686970646247   accuracy 0.6681818181818182   precision 0.6181259600614439   recall 0.5549816680108219
deviation 2/5   iterations 980/2000   F1 0.5458402515893466   accuracy 0.696590909090909   precision 0.6136712749615976   recall 0.5563969368842064
deviation 2/5   iterations 990/2000   F1 0.557339663869222   accuracy 0.7125   precision 0.6227035330261137   recall 0.5627971623355388
deviation 2/5   iterations 1000/2000   F1 0.5667975909924065   accuracy 0.7329545454545454   precision 0.6219662058371735   recall 0.5663879598662207
deviation 2/5   iterations 1010/2000   F1 0.5767945732509872   accuracy 0.740909090909091   precision 0.634715821812596   recall 0.5739555153780249
deviation 2/5   iterations 1020/2000   F1 0.5628038365523584   accuracy 0.725   precision 0.6215668202764977   recall 0.5645728758020614
deviation 2/5   iterations 1030/2000   F1 0.5681257681109214   accuracy 0.7295454545454545   precision 0.6282642089093702   recall 0.568491577586603
deviation 2/5   iterations 1040/2000   F1 0.5528025865104517   accuracy 0.7113636363636363   precision 0.6138248847926268   recall 0.5586683472786121
deviation 2/5   iterations 1050/2000   F1 0.5507314697269924   accuracy 0.7034090909090909   precision 0.6175422427035331   recall 0.5590738407569357
deviation 2/5   iterations 1060/2000   F1 0.5845796740769102   accuracy 0.7534090909090909   precision 0.6376958525345622   recall 0.5786183379641324
deviation 2/5   iterations 1070/2000   F1 0.5670440057841551   accuracy 0.7386363636363636   precision 0.6169585253456221   recall 0.5653499406065683
deviation 2/5   iterations 1080/2000   F1 0.5897067659987184   accuracy 0.7875   precision 0.6158832565284178   recall 0.5803072625698324
deviation 2/5   iterations 1090/2000   F1 0.570486959977194   accuracy 0.7431818181818182   precision 0.6195391705069124   recall 0.5676126530016473
deviation 2/5   iterations 1100/2000   F1 0.5798611111111112   accuracy 0.75   precision 0.6316436251920123   recall 0.5749256863087953
deviation 2/5   iterations 1110/2000   F1 0.567270400447708   accuracy 0.7284090909090909   precision 0.6276190476190476   recall 0.5679664389120134
deviation 2/5   iterations 1120/2000   F1 0.5563238259867473   accuracy 0.7136363636363636   precision 0.619231950844854   recall 0.5614552917107405
deviation 2/5   iterations 1130/2000   F1 0.5495064935064935   accuracy 0.6920454545454545   precision 0.6275576036866359   recall 0.5617857142857143
deviation 2/5   iterations 1140/2000   F1 0.5797978348738206   accuracy 0.7579545454545454   precision 0.6238095238095238   recall 0.5735637723064342
deviation 2/5   iterations 1150/2000   F1 0.570995406957552   accuracy 0.7465909090909091   precision 0.617357910906298   recall 0.567435882951079
deviation 2/5   iterations 1160/2000   F1 0.576304290554965   accuracy 0.759090909090909   precision 0.616221198156682   recall 0.5702893326693967
deviation 2/5   iterations 1170/2000   F1 0.5697333298094458   accuracy 0.7477272727272727   precision 0.6138863287250385   recall 0.5660836144011295
deviation 2/5   iterations 1180/2000   F1 0.5801093572681316   accuracy 0.7477272727272727   precision 0.6344700460829493   recall 0.5755911549540961
deviation 2/5   iterations 1190/2000   F1 0.5651862064568572   accuracy 0.7181818181818181   precision 0.634162826420891   recall 0.5688232438804521
deviation 2/5   iterations 1200/2000   F1 0.5450301332654274   accuracy 0.6954545454545454   precision 0.6130261136712749   recall 0.5559598196630546
deviation 2/5   iterations 1210/2000   F1 0.5719109483202655   accuracy 0.7295454545454545   precision 0.6364976958525346   recall 0.5721270917343619
deviation 2/5   iterations 1220/2000   F1 0.5478694874009835   accuracy 0.6897727272727273   precision 0.6262672811059908   recall 0.56093005052302
deviation 2/5   iterations 1230/2000   F1 0.5670995670995671   accuracy 0.75   precision 0.6069431643625192   recall 0.5633226855658476
deviation 2/5   iterations 1240/2000   F1 0.5891147113495608   accuracy 0.759090909090909   precision 0.6409216589861751   recall 0.5817711193034748
deviation 2/5   iterations 1250/2000   F1 0.5899240924326613   accuracy 0.7761363636363636   precision 0.6258986175115208   recall 0.5806464309329639
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deviation 2/5   iterations 1260/2000   F1 0.5962899372269007   accuracy 0.7704545454545455   precision 0.6432565284178187   recall 0.5866400101076915
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deviation 2/5   iterations 1270/2000   F1 0.5938561512332003   accuracy 0.7727272727272727   precision 0.6363133640552995   recall 0.5842901541805029
deviation 2/5   iterations 1280/2000   F1 0.5857332742578644   accuracy 0.7681818181818182   precision 0.6254992319508448   recall 0.5776031732763927
deviation 2/5   iterations 1290/2000   F1 0.5774566733035846   accuracy 0.7443181818181818   precision 0.6325345622119816   recall 0.573831430214409
deviation 2/5   iterations 1300/2000   F1 0.5810456062291434   accuracy 0.7568181818181818   precision 0.6272811059907833   recall 0.5748509485094851
deviation 2/5   iterations 1310/2000   F1 0.5941708171924   accuracy 0.7840909090909091   precision 0.6262980030721966   recall 0.5840276017692603
deviation 2/5   iterations 1320/2000   F1 0.5789753204269765   accuracy 0.7625   precision 0.6181566820276497   recall 0.572247603017643
deviation 2/5   iterations 1330/2000   F1 0.5722222222222222   accuracy 0.7454545454545455   precision 0.6208294930875576   recall 0.5687707641196014
deviation 2/5   iterations 1340/2000   F1 0.5797978348738206   accuracy 0.7579545454545454   precision 0.6238095238095238   recall 0.5735637723064342
deviation 2/5   iterations 1350/2000   F1 0.5871019901395336   accuracy 0.7784090909090909   precision 0.6189554531490016   recall 0.578125
deviation 2/5   iterations 1360/2000   F1 0.5897067659987184   accuracy 0.7875   precision 0.6158832565284178   recall 0.5803072625698324
deviation 2/5   iterations 1370/2000   F1 0.5975142928163062   accuracy 0.7909090909090909   precision 0.62605222734255   recall 0.5869463869463869
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deviation 2/5   iterations 1380/2000   F1 0.5767367010995136   accuracy 0.7568181818181818   precision 0.6190476190476191   recall 0.5709816162193451
deviation 2/5   iterations 1390/2000   F1 0.5738738043272301   accuracy 0.7647727272727273   precision 0.6070967741935485   recall 0.5675141768150971
deviation 2/5   iterations 1400/2000   F1 0.5785547785547785   accuracy 0.7431818181818182   precision 0.6360061443932412   recall 0.57509754028838
deviation 2/5   iterations 1410/2000   F1 0.5848206374522164   accuracy 0.7670454545454546   precision 0.6248540706605223   recall 0.5769137596899224
deviation 2/5   iterations 1420/2000   F1 0.594087299616086   accuracy 0.7784090909090909   precision 0.631305683563748   recall 0.58411001605844
deviation 2/5   iterations 1430/2000   F1 0.565093180912979   accuracy 0.7306818181818182   precision 0.6206758832565284   recall 0.5653203490847168
deviation 2/5   iterations 1440/2000   F1 0.5789753204269765   accuracy 0.7625   precision 0.6181566820276497   recall 0.572247603017643
deviation 2/5   iterations 1450/2000   F1 0.5661888512583468   accuracy 0.7375   precision 0.6163133640552996   recall 0.5647950381992934
deviation 2/5   iterations 1460/2000   F1 0.6033868092691622   accuracy 0.7977272727272727   precision 0.6299231950844855   recall 0.5922242866738195
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deviation 2/5   iterations 1470/2000   F1 0.6068816489361701   accuracy 0.8045454545454546   precision 0.6296774193548387   recall 0.5958629711389093
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deviation 2/5   iterations 1480/2000   F1 0.5868912080961417   accuracy 0.7840909090909091   precision 0.61394777265745   recall 0.5778737056042194
deviation 2/5   iterations 1490/2000   F1 0.5903991401069109   accuracy 0.7795454545454545   precision 0.6237173579109063   recall 0.5809082945568227
deviation 2/5   iterations 1500/2000   F1 0.5811995199916203   accuracy 0.7625   precision 0.6222734254992319   recall 0.5742182838047499
deviation 2/5   iterations 1510/2000   F1 0.592883122592584   accuracy 0.7943181818181818   precision 0.6156374807987711   recall 0.5833156254426972
deviation 2/5   iterations 1520/2000   F1 0.5770967862341831   accuracy 0.7659090909090909   precision 0.6118586789554532   recall 0.5702402172990408
deviation 2/5   iterations 1530/2000   F1 0.590838163445645   accuracy 0.7829545454545455   precision 0.6215360983102918   recall 0.5812146892655368
deviation 2/5   iterations 1540/2000   F1 0.5705610179294389   accuracy 0.7545454545454545   precision 0.6095238095238096   recall 0.5657656859923701
deviation 2/5   iterations 1550/2000   F1 0.5703592294787991   accuracy 0.7602272727272728   precision 0.604516129032258   recall 0.5648741418764301
deviation 2/5   iterations 1560/2000   F1 0.5749463761248423   accuracy 0.7602272727272728   precision 0.6127496159754224   recall 0.5689414204562532
deviation 2/5   iterations 1570/2000   F1 0.6023105053191489   accuracy 0.8022727272727272   precision 0.6242703533026114   recall 0.5918658418045222
deviation 2/5   iterations 1580/2000   F1 0.5980557557708199   accuracy 0.803409090909091   precision 0.6166820276497695   recall 0.5886025157702214
deviation 2/5   iterations 1590/2000   F1 0.5931394481730052   accuracy 0.7886363636363637   precision 0.6206451612903225   recall 0.5832167832167832
deviation 2/5   iterations 1600/2000   F1 0.592187728458883   accuracy 0.7875   precision 0.62   recall 0.582388377037562
deviation 2/5   iterations 1610/2000   F1 0.5795785265963043   accuracy 0.7522727272727273   precision 0.6288172043010753   recall 0.5742602313702988
deviation 2/5   iterations 1620/2000   F1 0.5977293316821397   accuracy 0.8125   precision 0.6094930875576037   recall 0.5902406417112299
deviation 2/5   iterations 1630/2000   F1 0.5997488664108824   accuracy 0.8147727272727273   precision 0.6107834101382488   recall 0.5924615384615385
deviation 2/5   iterations 1640/2000   F1 0.5975142928163062   accuracy 0.7909090909090909   precision 0.62605222734255   recall 0.5869463869463869
deviation 2/5   iterations 1650/2000   F1 0.590838163445645   accuracy 0.7829545454545455   precision 0.6215360983102918   recall 0.5812146892655368
deviation 2/5   iterations 1660/2000   F1 0.592187728458883   accuracy 0.7875   precision 0.62   recall 0.582388377037562
deviation 2/5   iterations 1670/2000   F1 0.5973816516247102   accuracy 0.7965909090909091   precision 0.6210445468509984   recall 0.5872113613826321
deviation 2/5   iterations 1680/2000   F1 0.6053201004010271   accuracy 0.8056818181818182   precision 0.6262058371735791   recall 0.594797666518978
deviation 2/5   iterations 1690/2000   F1 0.6023105053191489   accuracy 0.8022727272727272   precision 0.6242703533026114   recall 0.5918658418045222
deviation 2/5   iterations 1700/2000   F1 0.6028717948717949   accuracy 0.8   precision 0.6270967741935485   recall 0.592035595105673
deviation 2/5   iterations 1710/2000   F1 0.5776103972825285   accuracy 0.7636363636363637   precision 0.6146850998463902   recall 0.5709161923722824
deviation 2/5   iterations 1720/2000   F1 0.6112828926610714   accuracy 0.8011363636363636   precision 0.6400921658986175   recall 0.5989583333333333
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deviation 2/5   iterations 1730/2000   F1 0.6078431372549019   accuracy 0.8   precision 0.6353302611367128   recall 0.5960624220378754
deviation 2/5   iterations 1740/2000   F1 0.6033868092691622   accuracy 0.7977272727272727   precision 0.6299231950844855   recall 0.5922242866738195
deviation 2/5   iterations 1750/2000   F1 0.5975142928163062   accuracy 0.7909090909090909   precision 0.62605222734255   recall 0.5869463869463869
deviation 2/5   iterations 1760/2000   F1 0.6088324145878103   accuracy 0.821590909090909   precision 0.6187711213517665   recall 0.6017325586291103
deviation 2/5   iterations 1770/2000   F1 0.6095709801185909   accuracy 0.8193181818181818   precision 0.6215975422427036   recall 0.6014871794871794
deviation 2/5   iterations 1780/2000   F1 0.6088098605778945   accuracy 0.8125   precision 0.6259600614439325   recall 0.5989382239382239
deviation 2/5   iterations 1790/2000   F1 0.6077811879400614   accuracy 0.8204545454545454   precision 0.6181259600614439   recall 0.6005165688950236
deviation 2/5   iterations 1800/2000   F1 0.6054126469317973   accuracy 0.8147727272727273   precision 0.6190168970814132   recall 0.5968848785562803
deviation 2/5   iterations 1810/2000   F1 0.5993264632585708   accuracy 0.8079545454545455   precision 0.6151459293394778   recall 0.5904440154440155
deviation 2/5   iterations 1820/2000   F1 0.5815976780658118   accuracy 0.7715909090909091   precision 0.6150844854070661   recall 0.5737192606820114
deviation 2/5   iterations 1830/2000   F1 0.6059315628395974   accuracy 0.821590909090909   precision 0.6146543778801843   recall 0.59952636968766
deviation 2/5   iterations 1840/2000   F1 0.6170583115752829   accuracy 0.8272727272727273   precision 0.6261136712749616   recall 0.6102179119545489
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deviation 2/5   iterations 1850/2000   F1 0.5969844289438455   accuracy 0.7931818181818182   precision 0.623225806451613   recall 0.5866239342081393
deviation 2/5   iterations 1860/2000   F1 0.6028712547902034   accuracy 0.7943181818181818   precision 0.6321044546850999   recall 0.5915485761002861
deviation 2/5   iterations 1870/2000   F1 0.6061197916666666   accuracy 0.825   precision 0.6124731182795699   recall 0.6010667078920925
deviation 2/5   iterations 1880/2000   F1 0.5965613309786751   accuracy 0.8079545454545455   precision 0.6110291858678956   recall 0.5882358685886168
deviation 2/5   iterations 1890/2000   F1 0.5897947127455324   accuracy 0.7704545454545455   precision 0.6309062980030722   recall 0.5809466637284478
deviation 2/5   iterations 1900/2000   F1 0.5967597878173614   accuracy 0.7988636363636363   precision 0.6182181259600614   recall 0.5869360902255639
deviation 2/5   iterations 1910/2000   F1 0.6083994612207353   accuracy 0.8306818181818182   precision 0.6115821812596006   recall 0.6055617559523809
deviation 2/5   iterations 1920/2000   F1 0.6177964992443984   accuracy 0.8340909090909091   precision 0.6217511520737327   recall 0.614311592112702
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deviation 2/5   iterations 1930/2000   F1 0.6040197990100495   accuracy 0.8227272727272728   precision 0.6111827956989248   recall 0.5985147921906815
deviation 2/5   iterations 1940/2000   F1 0.6009109856041475   accuracy 0.7920454545454545   precision 0.6308141321044547   recall 0.5898130336471938
deviation 2/5   iterations 1950/2000   F1 0.5968419662105   accuracy 0.8147727272727273   precision 0.6066666666666667   recall 0.5901761968085106
deviation 2/5   iterations 1960/2000   F1 0.5978866950790099   accuracy 0.8261363636363637   precision 0.6007680491551459   recall 0.5953311011904762
deviation 2/5   iterations 1970/2000   F1 0.6113031283472654   accuracy 0.8181818181818182   precision 0.6250691244239631   recall 0.6024398345260742
deviation 2/5   iterations 1980/2000   F1 0.6046599232647366   accuracy 0.8170454545454545   precision 0.6161904761904762   recall 0.596974358974359
deviation 2/5   iterations 1990/2000   F1 0.6062310270120622   accuracy 0.8420454545454545   precision 0.6015668202764977   recall 0.6118645444209843
deviation 2/5   iterations 2000/2000   F1 0.6030881336473014   accuracy 0.825   precision 0.6083563748079878   recall 0.5987722776713602

deviation 3/5   iterations 10/2000   F1 0.5430769230769231   accuracy 0.8159090909090909   precision 0.5414439324116743   recall 0.5452229299363057
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deviation 3/5   iterations 20/2000   F1 0.4470980780005647   accuracy 0.5170454545454546   precision 0.585837173579109   recall 0.5361699703804967
deviation 3/5   iterations 30/2000   F1 0.5405882352941176   accuracy 0.6772727272727272   precision 0.6232872503840245   recall 0.5581341445748225
deviation 3/5   iterations 40/2000   F1 0.40251980052392444   accuracy 0.4465909090909091   precision 0.5705376344086022   recall 0.5311306837903506
deviation 3/5   iterations 50/2000   F1 0.46098931271913146   accuracy 0.5386363636363637   precision 0.5939784946236559   recall 0.5395017536247604
deviation 3/5   iterations 60/2000   F1 0.44811629104635087   accuracy 0.5170454545454546   precision 0.5899539170506912   recall 0.5379227453580901
deviation 3/5   iterations 70/2000   F1 0.513112758658847   accuracy 0.6193181818181818   precision 0.6274347158218125   recall 0.5552112616066105
deviation 3/5   iterations 80/2000   F1 0.447728978978979   accuracy 0.5136363636363637   precision 0.5962519201228879   recall 0.5406589527561917
deviation 3/5   iterations 90/2000   F1 0.49240690659454955   accuracy 0.5840909090909091   precision 0.6197849462365591   recall 0.5507473487471302
deviation 3/5   iterations 100/2000   F1 0.5470077981249453   accuracy 0.6795454545454546   precision 0.6369278033794163   recall 0.5641409402540886
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deviation 3/5   iterations 110/2000   F1 0.5003408348635316   accuracy 0.5920454545454545   precision 0.6325345622119816   recall 0.5562198961613045
deviation 3/5   iterations 120/2000   F1 0.52102919346858   accuracy 0.625   precision 0.6430107526881721   recall 0.5619098284346322
deviation 3/5   iterations 130/2000   F1 0.4977667493796526   accuracy 0.5818181818181818   precision 0.6431950844854071   recall 0.5603834693613162
deviation 3/5   iterations 140/2000   F1 0.5502205087765414   accuracy 0.6818181818181818   precision 0.6423348694316436   recall 0.5666737662546987
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deviation 3/5   iterations 150/2000   F1 0.5467032967032968   accuracy 0.6727272727272727   precision 0.6454070660522273   recall 0.5668657711673325
deviation 3/5   iterations 160/2000   F1 0.5082401431607781   accuracy 0.6068181818181818   precision 0.6326881720430108   recall 0.5567933767798063
deviation 3/5   iterations 170/2000   F1 0.5485734659574623   accuracy 0.6795454545454546   precision 0.6410445468509984   recall 0.5658570453124013
deviation 3/5   iterations 180/2000   F1 0.5365725214113474   accuracy 0.6545454545454545   precision 0.6433179723502305   recall 0.5641787595133145
deviation 3/5   iterations 190/2000   F1 0.5412191516997358   accuracy 0.6693181818181818   precision 0.6352380952380953   recall 0.5622807017543859
deviation 3/5   iterations 200/2000   F1 0.5361318765574086   accuracy 0.65   precision 0.6489708141321044   recall 0.5660990517941755
deviation 3/5   iterations 210/2000   F1 0.5331197458857033   accuracy 0.6477272727272727   precision 0.643563748079877   recall 0.5636999111227433
deviation 3/5   iterations 220/2000   F1 0.46411278584117055   accuracy 0.5340909090909091   precision 0.6160983102918587   recall 0.5488720248718386
deviation 3/5   iterations 230/2000   F1 0.5288402911137347   accuracy 0.6397727272727273   precision 0.6431643625192012   recall 0.5629267133350618
deviation 3/5   iterations 240/2000   F1 0.5483486587563078   accuracy 0.675   precision 0.6466973886328725   recall 0.5676579441053282
deviation 3/5   iterations 250/2000   F1 0.5491730345076765   accuracy 0.6761363636363636   precision 0.6473425499231951   recall 0.5680569430569431
deviation 3/5   iterations 260/2000   F1 0.5447346749160631   accuracy 0.6659090909090909   precision 0.6497695852534562   recall 0.5679200173875244
deviation 3/5   iterations 270/2000   F1 0.49954504094631486   accuracy 0.5909090909090909   precision 0.631889400921659   recall 0.5559220296062402
deviation 3/5   iterations 280/2000   F1 0.5393939393939393   accuracy 0.6545454545454545   precision 0.6515514592933949   recall 0.5675475831849925
deviation 3/5   iterations 290/2000   F1 0.5304551976001043   accuracy 0.6420454545454546   precision 0.6444546850998464   recall 0.5636217011972029
deviation 3/5   iterations 300/2000   F1 0.5345059415334003   accuracy 0.6477272727272727   precision 0.6476804915514593   recall 0.5653839248309295
deviation 3/5   iterations 310/2000   F1 0.5763639955426927   accuracy 0.7147727272727272   precision 0.6651612903225806   recall 0.5812693498452013
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deviation 3/5   iterations 320/2000   F1 0.5827190207126292   accuracy 0.7295454545454545   precision 0.6611981566820276   recall 0.5826919076346994
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deviation 3/5   iterations 330/2000   F1 0.4978982696874058   accuracy 0.5852272727272727   precision 0.6368970814132104   recall 0.5578472914589564
deviation 3/5   iterations 340/2000   F1 0.5720332221369463   accuracy 0.7090909090909091   precision 0.6619354838709677   recall 0.5788925409055804
deviation 3/5   iterations 350/2000   F1 0.5591594964024817   accuracy 0.6897727272727273   precision 0.6550844854070661   recall 0.5730053683820807
deviation 3/5   iterations 360/2000   F1 0.531106930450632   accuracy 0.6488636363636363   precision 0.6359754224270353   recall 0.5606753525915202
deviation 3/5   iterations 370/2000   F1 0.5515070597440259   accuracy 0.6772727272727272   precision 0.6521044546850998   recall 0.5701517238252314
deviation 3/5   iterations 380/2000   F1 0.5506785506337618   accuracy 0.6761363636363636   precision 0.6514592933947773   recall 0.5697509903791738
deviation 3/5   iterations 390/2000   F1 0.5226376650525257   accuracy 0.6272727272727273   precision 0.6443010752688172   recall 0.5625696031885588
deviation 3/5   iterations 400/2000   F1 0.5509478436307705   accuracy 0.6806818181818182   precision 0.6458064516129032   recall 0.5679724558307936
deviation 3/5   iterations 410/2000   F1 0.5442435115033664   accuracy 0.6693181818181818   precision 0.6434715821812595   recall 0.565691746753393
deviation 3/5   iterations 420/2000   F1 0.528499566585444   accuracy 0.6431818181818182   precision 0.6368663594470045   recall 0.5605960859417081
deviation 3/5   iterations 430/2000   F1 0.5713874941073604   accuracy 0.7170454545454545   precision 0.6499846390168971   recall 0.5753785913683638
deviation 3/5   iterations 440/2000   F1 0.5457311178086954   accuracy 0.6693181818181818   precision 0.6475883256528419   recall 0.5673871083580214
deviation 3/5   iterations 450/2000   F1 0.5371767436486821   accuracy 0.6534090909090909   precision 0.64678955453149   recall 0.56550086639907
deviation 3/5   iterations 460/2000   F1 0.5519447457552078   accuracy 0.6863636363636364   precision 0.6407987711213519   recall 0.5666168578588415
deviation 3/5   iterations 470/2000   F1 0.5567647058823529   accuracy 0.6886363636363636   precision 0.6503225806451614   recall 0.5708822251195133
deviation 3/5   iterations 480/2000   F1 0.547751742873694   accuracy 0.678409090909091   precision 0.6403993855606759   recall 0.5654517747886065
deviation 3/5   iterations 490/2000   F1 0.5361318765574086   accuracy 0.65   precision 0.6489708141321044   recall 0.5660990517941755
deviation 3/5   iterations 500/2000   F1 0.5459616242748773   accuracy 0.6636363636363637   precision 0.6567127496159755   recall 0.5705216472839281
deviation 3/5   iterations 510/2000   F1 0.5234428176095629   accuracy 0.6284090909090909   precision 0.6449462365591397   recall 0.5629012990891444
deviation 3/5   iterations 520/2000   F1 0.553640552503297   accuracy 0.6761363636363636   precision 0.6596927803379415   recall 0.5731189934955324
deviation 3/5   iterations 530/2000   F1 0.5224091951259019   accuracy 0.6306818181818182   precision 0.6380030721966206   recall 0.5602002744660777
deviation 3/5   iterations 540/2000   F1 0.5445357579996504   accuracy 0.6636363636363637   precision 0.6525960061443932   recall 0.5688426888426888
deviation 3/5   iterations 550/2000   F1 0.5696687376650905   accuracy 0.7147727272727272   precision 0.648694316436252   recall 0.5744047619047619
deviation 3/5   iterations 560/2000   F1 0.5687604233356256   accuracy 0.7181818181818181   precision 0.6423963133640553   recall 0.5723716671559106
deviation 3/5   iterations 570/2000   F1 0.5783269009072227   accuracy 0.7284090909090909   precision 0.6523195084485407   recall 0.5786984126984127
deviation 3/5   iterations 580/2000   F1 0.5346377578001058   accuracy 0.6579545454545455   precision 0.6329032258064515   recall 0.5601916783543712
deviation 3/5   iterations 590/2000   F1 0.5383808358104564   accuracy 0.6590909090909091   precision 0.6417818740399386   recall 0.563963963963964
deviation 3/5   iterations 600/2000   F1 0.5409786208494017   accuracy 0.6647727272727273   precision 0.6408909370199694   recall 0.5641520624902079
deviation 3/5   iterations 610/2000   F1 0.51125127995085   accuracy 0.6147727272727272   precision 0.6289708141321044   recall 0.5556173820879704
deviation 3/5   iterations 620/2000   F1 0.5312773801778357   accuracy 0.6511363636363636   precision 0.6331490015360983   recall 0.5596969696969697
deviation 3/5   iterations 630/2000   F1 0.5704710367728447   accuracy 0.7113636363636363   precision 0.6549923195084486   recall 0.5764213307157702
deviation 3/5   iterations 640/2000   F1 0.5916438864702507   accuracy 0.75   precision 0.6563440860215053   recall 0.5858288752015435
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deviation 3/5   iterations 650/2000   F1 0.5642231186534983   accuracy 0.696590909090909   precision 0.6589554531490016   recall 0.5755990648743425
deviation 3/5   iterations 660/2000   F1 0.5580126467931347   accuracy 0.6840909090909091   precision 0.6600921658986175   recall 0.5742836778332145
deviation 3/5   iterations 670/2000   F1 0.5033434404689712   accuracy 0.6034090909090909   precision 0.6225192012288787   recall 0.5524736842105263
deviation 3/5   iterations 680/2000   F1 0.4797289307876701   accuracy 0.5625   precision 0.6157603686635944   recall 0.5487214498510428
deviation 3/5   iterations 690/2000   F1 0.5468295353058108   accuracy 0.675   precision 0.6425806451612903   recall 0.5659566485324966
deviation 3/5   iterations 700/2000   F1 0.5449103493223952   accuracy 0.6681818181818182   precision 0.6469431643625192   recall 0.5669996806203809
deviation 3/5   iterations 710/2000   F1 0.5603246833107859   accuracy 0.7045454545454546   precision 0.6387711213517666   recall 0.5684232211780246
deviation 3/5   iterations 720/2000   F1 0.5378666114992282   accuracy 0.6625   precision 0.635483870967742   recall 0.5616900557308803
deviation 3/5   iterations 730/2000   F1 0.5493963828527174   accuracy 0.6806818181818182   precision 0.6416897081413211   recall 0.5662643678160919
deviation 3/5   iterations 740/2000   F1 0.5450623578319868   accuracy 0.6704545454545454   precision 0.6441167434715822   recall 0.5660812189033702
deviation 3/5   iterations 750/2000   F1 0.582642549014756   accuracy 0.7386363636363636   precision 0.6498924731182796   recall 0.5800408160586912
deviation 3/5   iterations 760/2000   F1 0.5618940670035562   accuracy 0.6977272727272728   precision 0.6513671274961598   recall 0.5726374760430488
deviation 3/5   iterations 770/2000   F1 0.5721993321591661   accuracy 0.7227272727272728   precision 0.6449769585253455   recall 0.5743707093821511
deviation 3/5   iterations 780/2000   F1 0.5769796682718031   accuracy 0.7386363636363636   precision 0.637542242703533   recall 0.5746569814366425
deviation 3/5   iterations 790/2000   F1 0.5756684427514043   accuracy 0.7272727272727273   precision 0.647557603686636   recall 0.5764229660321158
deviation 3/5   iterations 800/2000   F1 0.5586427434742931   accuracy 0.6977272727272728   precision 0.6431336405529954   recall 0.5691989614957313
deviation 3/5   iterations 810/2000   F1 0.5611187331914309   accuracy 0.6988636363636364   precision 0.6478955453149002   recall 0.5713667307099315
deviation 3/5   iterations 820/2000   F1 0.5017670751398096   accuracy 0.6011363636363637   precision 0.6212288786482335   recall 0.5518566412245842
deviation 3/5   iterations 830/2000   F1 0.5007794225933397   accuracy 0.6034090909090909   precision 0.6142857142857143   recall 0.5490754812563323
deviation 3/5   iterations 840/2000   F1 0.5151710013580972   accuracy 0.6261363636363636   precision 0.6230721966205837   recall 0.5537850959163069
deviation 3/5   iterations 850/2000   F1 0.5181263400956622   accuracy 0.6227272727272727   precision 0.6376036866359447   recall 0.559569091634526
deviation 3/5   iterations 860/2000   F1 0.554359815777504   accuracy 0.6875   precision 0.6455606758832566   recall 0.5687527570755264
deviation 3/5   iterations 870/2000   F1 0.5809523809523809   accuracy 0.7272727272727273   precision 0.6599078341013824   recall 0.5816470588235294
deviation 3/5   iterations 880/2000   F1 0.5324421397147897   accuracy 0.6590909090909091   precision 0.6253149001536098   recall 0.5571381344868354
deviation 3/5   iterations 890/2000   F1 0.5438235294117647   accuracy 0.6795454545454546   precision 0.628694316436252   recall 0.5606837606837607
deviation 3/5   iterations 900/2000   F1 0.5739682539682539   accuracy 0.7227272727272728   precision 0.6490937019969278   recall 0.5761254901960784
deviation 3/5   iterations 910/2000   F1 0.571372295607187   accuracy 0.7147727272727272   precision 0.6528110599078341   recall 0.5761370037471529
deviation 3/5   iterations 920/2000   F1 0.48610651360618573   accuracy 0.575   precision 0.6146236559139785   recall 0.5484195827428506
deviation 3/5   iterations 930/2000   F1 0.5258676746538844   accuracy 0.6375   precision 0.6377572964669739   recall 0.5605500821018062
deviation 3/5   iterations 940/2000   F1 0.5347400078275737   accuracy 0.65   precision 0.6448540706605222   recall 0.5644157362930418
deviation 3/5   iterations 950/2000   F1 0.5354435458327175   accuracy 0.6590909090909091   precision 0.6335483870967742   recall 0.5605637570427833
deviation 3/5   iterations 960/2000   F1 0.5862149318819231   accuracy 0.7431818181818182   precision 0.6524731182795699   recall 0.5823045949943948
deviation 3/5   iterations 970/2000   F1 0.557806421743819   accuracy 0.696590909090909   precision 0.6424884792626728   recall 0.5687575606632036
deviation 3/5   iterations 980/2000   F1 0.5774603174603175   accuracy 0.725   precision 0.6545007680491551   recall 0.5788862745098039
deviation 3/5   iterations 990/2000   F1 0.5809061998173746   accuracy 0.725   precision 0.6627342549923195   recall 0.5823338866817128
deviation 3/5   iterations 1000/2000   F1 0.5644976876738511   accuracy 0.7034090909090909   precision 0.6504761904761904   recall 0.5731673797174884
deviation 3/5   iterations 1010/2000   F1 0.5739300233682255   accuracy 0.725   precision 0.6462672811059907   recall 0.5753900138713824
deviation 3/5   iterations 1020/2000   F1 0.5602777193351567   accuracy 0.6977272727272728   precision 0.6472503840245776   recall 0.5709229303170742
deviation 3/5   iterations 1030/2000   F1 0.5443722846777443   accuracy 0.6715909090909091   precision 0.6406451612903226   recall 0.5647707979626485
deviation 3/5   iterations 1040/2000   F1 0.547751742873694   accuracy 0.678409090909091   precision 0.6403993855606759   recall 0.5654517747886065
deviation 3/5   iterations 1050/2000   F1 0.5503640052512233   accuracy 0.6886363636363636   precision 0.6338556067588326   recall 0.5640016217073759
deviation 3/5   iterations 1060/2000   F1 0.5324421397147897   accuracy 0.6590909090909091   precision 0.6253149001536098   recall 0.5571381344868354
deviation 3/5   iterations 1070/2000   F1 0.5774566733035846   accuracy 0.7443181818181818   precision 0.6325345622119816   recall 0.573831430214409
deviation 3/5   iterations 1080/2000   F1 0.580750915312642   accuracy 0.7511363636363636   precision 0.6322887864823348   recall 0.5755311386152507
deviation 3/5   iterations 1090/2000   F1 0.5979175897208684   accuracy 0.775   precision 0.6417204301075269   recall 0.5876336446325581
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deviation 3/5   iterations 1100/2000   F1 0.5965153599266391   accuracy 0.7681818181818182   precision 0.6460829493087558   recall 0.5871013122898028
deviation 3/5   iterations 1110/2000   F1 0.5731022752698306   accuracy 0.7215909090909091   precision 0.6484485407066052   recall 0.5756209935897436
deviation 3/5   iterations 1120/2000   F1 0.562002750780781   accuracy 0.7022727272727273   precision 0.6457142857142857   recall 0.570989816261652
deviation 3/5   iterations 1130/2000   F1 0.5511661334446144   accuracy 0.6875   precision 0.6373271889400922   recall 0.56531268264173
deviation 3/5   iterations 1140/2000   F1 0.5553242678613179   accuracy 0.6954545454545454   precision 0.6377265745007681   recall 0.5665848775242248
deviation 3/5   iterations 1150/2000   F1 0.5756028368794326   accuracy 0.7295454545454545   precision 0.644731182795699   recall 0.57570303712036
deviation 3/5   iterations 1160/2000   F1 0.561164861612515   accuracy 0.7056818181818182   precision 0.639416282642089   recall 0.568882817243473
deviation 3/5   iterations 1170/2000   F1 0.5667613636363635   accuracy 0.7227272727272728   precision 0.6326267281105991   recall 0.5690273807011148
deviation 3/5   iterations 1180/2000   F1 0.558545595955668   accuracy 0.7068181818181818   precision 0.6318279569892473   recall 0.5658229789845068
deviation 3/5   iterations 1190/2000   F1 0.5755083353091709   accuracy 0.7318181818181818   precision 0.641904761904762   recall 0.574984253144501
deviation 3/5   iterations 1200/2000   F1 0.5789738027662858   accuracy 0.7488636363636364   precision 0.6309984639016897   recall 0.5743250780901383
deviation 3/5   iterations 1210/2000   F1 0.5743576649457464   accuracy 0.7352272727272727   precision 0.6356067588325653   recall 0.5730001852292874
deviation 3/5   iterations 1220/2000   F1 0.5678375374533511   accuracy 0.7193181818181819   precision 0.6389247311827957   recall 0.5710988402807476
deviation 3/5   iterations 1230/2000   F1 0.5916511215673173   accuracy 0.7727272727272727   precision 0.6321966205837174   recall 0.582370462254688
deviation 3/5   iterations 1240/2000   F1 0.5994558040894722   accuracy 0.7931818181818182   precision 0.627342549923195   recall 0.5886661361672271
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deviation 3/5   iterations 1250/2000   F1 0.570484420005237   accuracy 0.7352272727272727   precision 0.627373271889401   recall 0.5693311036789298
deviation 3/5   iterations 1260/2000   F1 0.5381726220626071   accuracy 0.6738636363636363   precision 0.6213517665130568   recall 0.5569374293687585
deviation 3/5   iterations 1270/2000   F1 0.5590082077021827   accuracy 0.7147727272727272   precision 0.6239938556067588   recall 0.5637574562733798
deviation 3/5   iterations 1280/2000   F1 0.5907213513044485   accuracy 0.7715909090909091   precision 0.6315514592933947   recall 0.5816552250190694
deviation 3/5   iterations 1290/2000   F1 0.5855557433384034   accuracy 0.7625   precision 0.6305069124423963   recall 0.5780882352941177
deviation 3/5   iterations 1300/2000   F1 0.5810456062291434   accuracy 0.7568181818181818   precision 0.6272811059907833   recall 0.5748509485094851
deviation 3/5   iterations 1310/2000   F1 0.5936754619118593   accuracy 0.7806818181818181   precision 0.6284792626728111   recall 0.5836694516469797
deviation 3/5   iterations 1320/2000   F1 0.5804690503652442   accuracy 0.7534090909090909   precision 0.6294623655913978   recall 0.5748756218905473
deviation 3/5   iterations 1330/2000   F1 0.5834356043339528   accuracy 0.7545454545454545   precision 0.6342242703533025   recall 0.5773772837722002
deviation 3/5   iterations 1340/2000   F1 0.5727761560915656   accuracy 0.7306818181818182   precision 0.6371428571428571   recall 0.57265625
deviation 3/5   iterations 1350/2000   F1 0.5715676728334955   accuracy 0.7340909090909091   precision 0.6308448540706606   recall 0.5706297138990786
deviation 3/5   iterations 1360/2000   F1 0.5874999999999999   accuracy 0.7545454545454545   precision 0.6424577572964669   recall 0.5810806084979891
deviation 3/5   iterations 1370/2000   F1 0.5867768595041323   accuracy 0.7613636363636364   precision 0.633978494623656   recall 0.5793307186879234
deviation 3/5   iterations 1380/2000   F1 0.6096342427494121   accuracy 0.7965909090909091   precision 0.6416282642089094   recall 0.5972376902568256
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deviation 3/5   iterations 1390/2000   F1 0.5944741532976827   accuracy 0.7931818181818182   precision 0.6191090629800308   recall 0.5845480159457078
deviation 3/5   iterations 1400/2000   F1 0.6058725609740312   accuracy 0.803409090909091   precision 0.6290322580645161   recall 0.5948886639676113
deviation 3/5   iterations 1410/2000   F1 0.5897947127455324   accuracy 0.7704545454545455   precision 0.6309062980030722   recall 0.5809466637284478
deviation 3/5   iterations 1420/2000   F1 0.5913661373000718   accuracy 0.7670454545454546   precision 0.6372043010752688   recall 0.5826816552623004
deviation 3/5   iterations 1430/2000   F1 0.582257882895315   accuracy 0.7556818181818182   precision 0.630752688172043   recall 0.5761217948717948
deviation 3/5   iterations 1440/2000   F1 0.580750915312642   accuracy 0.7511363636363636   precision 0.6322887864823348   recall 0.5755311386152507
deviation 3/5   iterations 1450/2000   F1 0.5885339135081492   accuracy 0.7772727272727272   precision 0.6224270353302611   recall 0.579395755465058
deviation 3/5   iterations 1460/2000   F1 0.5895217170863614   accuracy 0.7647727272727273   precision 0.6359139784946237   recall 0.5813235294117647
deviation 3/5   iterations 1470/2000   F1 0.5713534191059471   accuracy 0.7443181818181818   precision 0.620184331797235   recall 0.5681894243641232
deviation 3/5   iterations 1480/2000   F1 0.5984830918597084   accuracy 0.7920454545454545   precision 0.6266973886328725   recall 0.587801471590135
deviation 3/5   iterations 1490/2000   F1 0.582257882895315   accuracy 0.7556818181818182   precision 0.630752688172043   recall 0.5761217948717948
deviation 3/5   iterations 1500/2000   F1 0.6028717948717949   accuracy 0.8   precision 0.6270967741935485   recall 0.592035595105673
deviation 3/5   iterations 1510/2000   F1 0.5960878220478347   accuracy 0.8011363636363636   precision 0.6153917050691244   recall 0.5866747895436419
deviation 3/5   iterations 1520/2000   F1 0.588030888030888   accuracy 0.7795454545454545   precision 0.6196006144393241   recall 0.5788855116514691
deviation 3/5   iterations 1530/2000   F1 0.5893546580738964   accuracy 0.7840909090909091   precision 0.6180645161290323   recall 0.5799565575612313
deviation 3/5   iterations 1540/2000   F1 0.580750915312642   accuracy 0.7511363636363636   precision 0.6322887864823348   recall 0.5755311386152507
deviation 3/5   iterations 1550/2000   F1 0.5906526349485814   accuracy 0.7886363636363637   precision 0.6165284178187403   recall 0.5811364667026038
deviation 3/5   iterations 1560/2000   F1 0.590838163445645   accuracy 0.7829545454545455   precision 0.6215360983102918   recall 0.5812146892655368
deviation 3/5   iterations 1570/2000   F1 0.5620390778001125   accuracy 0.7375   precision 0.6080798771121352   recall 0.5609426536212201
deviation 3/5   iterations 1580/2000   F1 0.582642549014756   accuracy 0.7386363636363636   precision 0.6498924731182796   recall 0.5800408160586912
deviation 3/5   iterations 1590/2000   F1 0.6068816489361701   accuracy 0.8045454545454546   precision 0.6296774193548387   recall 0.5958629711389093
deviation 3/5   iterations 1600/2000   F1 0.610254209546131   accuracy 0.8170454545454545   precision 0.6244239631336406   recall 0.6012864631267256
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deviation 3/5   iterations 1610/2000   F1 0.588489429566504   accuracy 0.7715909090909091   precision 0.6274347158218125   recall 0.5797103677284466
deviation 3/5   iterations 1620/2000   F1 0.6151220344768731   accuracy 0.8136363636363636   precision 0.6348387096774193   recall 0.6041123056048429
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deviation 3/5   iterations 1630/2000   F1 0.5662907038616876   accuracy 0.7431818181818182   precision 0.611305683563748   recall 0.5637533346003054
deviation 3/5   iterations 1640/2000   F1 0.578082191780822   accuracy 0.7613636363636364   precision 0.6175115207373272   recall 0.5715889949466592
deviation 3/5   iterations 1650/2000   F1 0.6067549523562326   accuracy 0.8102272727272727   precision 0.6246697388632872   recall 0.5968071300431315
deviation 3/5   iterations 1660/2000   F1 0.5993404654297392   accuracy 0.7988636363636363   precision 0.6223348694316436   recall 0.5890397481306572
deviation 3/5   iterations 1670/2000   F1 0.5712696105458372   accuracy 0.7238636363636364   precision 0.641505376344086   recall 0.5731111111111111
deviation 3/5   iterations 1680/2000   F1 0.5613373860182371   accuracy 0.7204545454545455   precision 0.6231029185867896   recall 0.564390165515025
deviation 3/5   iterations 1690/2000   F1 0.5828671387563492   accuracy 0.7761363636363636   precision 0.6135483870967742   recall 0.5745738636363636
deviation 3/5   iterations 1700/2000   F1 0.6010411332991978   accuracy 0.8068181818181818   precision 0.6186175115207373   recall 0.5915875169606513
deviation 3/5   iterations 1710/2000   F1 0.6003287339417795   accuracy 0.8090909090909091   precision 0.6157910906298003   recall 0.5914814706938902
deviation 3/5   iterations 1720/2000   F1 0.5919240921737889   accuracy 0.7931818181818182   precision 0.6149923195084486   recall 0.582436944437103
deviation 3/5   iterations 1730/2000   F1 0.5994558040894722   accuracy 0.7931818181818182   precision 0.627342549923195   recall 0.5886661361672271
deviation 3/5   iterations 1740/2000   F1 0.6046599232647366   accuracy 0.8170454545454545   precision 0.6161904761904762   recall 0.596974358974359
deviation 3/5   iterations 1750/2000   F1 0.5878260998862507   accuracy 0.7852272727272728   precision 0.6145929339477727   recall 0.5786760487327461
deviation 3/5   iterations 1760/2000   F1 0.6009109856041475   accuracy 0.7920454545454545   precision 0.6308141321044547   recall 0.5898130336471938
deviation 3/5   iterations 1770/2000   F1 0.6043798623863696   accuracy 0.7988636363636363   precision 0.6305683563748079   recall 0.593139661278446
deviation 3/5   iterations 1780/2000   F1 0.5967597878173614   accuracy 0.7988636363636363   precision 0.6182181259600614   recall 0.5869360902255639
deviation 3/5   iterations 1790/2000   F1 0.6020454308275646   accuracy 0.8079545454545455   precision 0.61926267281106   recall 0.5926084965075002
deviation 3/5   iterations 1800/2000   F1 0.5946308790962456   accuracy 0.7875   precision 0.6241167434715822   recall 0.5844368646334939
deviation 3/5   iterations 1810/2000   F1 0.5964084428092419   accuracy 0.7954545454545454   precision 0.6203993855606759   recall 0.586313220745126
deviation 3/5   iterations 1820/2000   F1 0.6028712547902034   accuracy 0.7943181818181818   precision 0.6321044546850999   recall 0.5915485761002861
deviation 3/5   iterations 1830/2000   F1 0.6119295724038807   accuracy 0.8159090909090909   precision 0.6278955453149002   recall 0.6022438133037302
deviation 3/5   iterations 1840/2000   F1 0.6003261800803064   accuracy 0.8   precision 0.6229800307219662   recall 0.589970421914754
deviation 3/5   iterations 1850/2000   F1 0.5660273972602741   accuracy 0.7545454545454545   precision 0.6012903225806452   recall 0.5617069062324537
deviation 3/5   iterations 1860/2000   F1 0.5785040782090589   accuracy 0.7647727272727273   precision 0.6153302611367127   recall 0.5715865751334859
deviation 3/5   iterations 1870/2000   F1 0.6048679280339393   accuracy 0.8022727272727272   precision 0.6283870967741936   recall 0.5939261536801791
deviation 3/5   iterations 1880/2000   F1 0.599561403508772   accuracy 0.8113636363636364   precision 0.6129646697388633   recall 0.5913994531444196
deviation 3/5   iterations 1890/2000   F1 0.5924382131278683   accuracy 0.8   precision 0.6106298003072197   recall 0.5835491085929597
deviation 3/5   iterations 1900/2000   F1 0.5761848407183947   accuracy 0.7738636363636363   precision 0.6040245775729647   recall 0.5689085344013546
deviation 3/5   iterations 1910/2000   F1 0.596347499573306   accuracy 0.8045454545454546   precision 0.61321044546851   recall 0.5874125874125874
deviation 3/5   iterations 1920/2000   F1 0.599561403508772   accuracy 0.8113636363636364   precision 0.6129646697388633   recall 0.5913994531444196
deviation 3/5   iterations 1930/2000   F1 0.6130934420717777   accuracy 0.8261363636363637   precision 0.6213517665130569   recall 0.6067844629958044
deviation 3/5   iterations 1940/2000   F1 0.6003261800803064   accuracy 0.8   precision 0.6229800307219662   recall 0.589970421914754
deviation 3/5   iterations 1950/2000   F1 0.6000414630062274   accuracy 0.8056818181818182   precision 0.6179723502304147   recall 0.5905797101449275
deviation 3/5   iterations 1960/2000   F1 0.5919240921737889   accuracy 0.7931818181818182   precision 0.6149923195084486   recall 0.582436944437103
deviation 3/5   iterations 1970/2000   F1 0.5794006552143367   accuracy 0.7659090909090909   precision 0.6159754224270353   recall 0.5722631873138385
deviation 3/5   iterations 1980/2000   F1 0.6119295724038807   accuracy 0.8159090909090909   precision 0.6278955453149002   recall 0.6022438133037302
deviation 3/5   iterations 1990/2000   F1 0.5944741532976827   accuracy 0.7931818181818182   precision 0.6191090629800308   recall 0.5845480159457078
deviation 3/5   iterations 2000/2000   F1 0.5931682180851063   accuracy 0.7977272727272727   precision 0.6134562211981567   recall 0.5838715831357479

deviation 4/5   iterations 10/2000   F1 0.21249898308236453   accuracy 0.2125   precision 0.5076190476190476   recall 0.5076823949246629
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deviation 4/5   iterations 20/2000   F1 0.47498760251764255   accuracy 0.5556818181818182   precision 0.611889400921659   recall 0.5470542635658915
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deviation 4/5   iterations 30/2000   F1 0.4165466623310262   accuracy 0.4647727272727273   precision 0.5849769585253457   recall 0.537003146471457
deviation 4/5   iterations 40/2000   F1 0.3964709502657068   accuracy 0.43522727272727274   precision 0.5764362519201229   recall 0.5343540120183811
deviation 4/5   iterations 50/2000   F1 0.41650439803934736   accuracy 0.46136363636363636   precision 0.5953917050691244   recall 0.5418872322859501
deviation 4/5   iterations 60/2000   F1 0.40217391304347827   accuracy 0.4409090909090909   precision 0.5878955453149002   recall 0.5394557560445501
deviation 4/5   iterations 70/2000   F1 0.44024545386515   accuracy 0.49772727272727274   precision 0.6036866359447005   recall 0.5442237841407613
deviation 4/5   iterations 80/2000   F1 0.4500948937175865   accuracy 0.5102272727272728   precision 0.6149001536098311   recall 0.5487832874196511
deviation 4/5   iterations 90/2000   F1 0.4484707162904069   accuracy 0.5079545454545454   precision 0.6136098310291859   recall 0.5482807963067411
deviation 4/5   iterations 100/2000   F1 0.4825251968109111   accuracy 0.5602272727272727   precision 0.6309370199692781   recall 0.5550463929243041
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deviation 4/5   iterations 110/2000   F1 0.44754312988332934   accuracy 0.5079545454545454   precision 0.6094930875576037   recall 0.546487603305785
deviation 4/5   iterations 120/2000   F1 0.4755606394269236   accuracy 0.5488636363636363   precision 0.6286021505376345   recall 0.5540648054390279
deviation 4/5   iterations 130/2000   F1 0.42643629723275744   accuracy 0.4727272727272727   precision 0.6100768049155145   recall 0.5480617035546613
deviation 4/5   iterations 140/2000   F1 0.5224242542768159   accuracy 0.6215909090909091   precision 0.6534254992319508   recall 0.5659730295280168
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deviation 4/5   iterations 150/2000   F1 0.5560048114609139   accuracy 0.6715909090909091   precision 0.6735791090629801   recall 0.5782097849438551
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deviation 4/5   iterations 160/2000   F1 0.4603850425768234   accuracy 0.5181818181818182   precision 0.64   recall 0.5595247425427528
deviation 4/5   iterations 170/2000   F1 0.5252953983112714   accuracy 0.6204545454545455   precision 0.6651305683563749   recall 0.570679416575934
deviation 4/5   iterations 180/2000   F1 0.5807793692635056   accuracy 0.7102272727272727   precision 0.6831643625192012   recall 0.5877363377363377
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deviation 4/5   iterations 190/2000   F1 0.489975500544012   accuracy 0.5647727272727273   precision 0.6499846390168971   recall 0.5630436579268167
deviation 4/5   iterations 200/2000   F1 0.49671146697169   accuracy 0.5727272727272728   precision 0.6586175115207373   recall 0.5666878497140289
deviation 4/5   iterations 210/2000   F1 0.5102010012326734   accuracy 0.5977272727272728   precision 0.6563440860215053   recall 0.5661833939375023
deviation 4/5   iterations 220/2000   F1 0.561617692458814   accuracy 0.6772727272727272   precision 0.6809216589861751   recall 0.5818321281077866
deviation 4/5   iterations 230/2000   F1 0.5347205407836025   accuracy 0.6352272727272728   precision 0.6694009216589862   recall 0.5732761370160107
deviation 4/5   iterations 240/2000   F1 0.5303571229435202   accuracy 0.6193181818181818   precision 0.6850691244239632   recall 0.578726162596186
deviation 4/5   iterations 250/2000   F1 0.5314255287371996   accuracy 0.6272727272727273   precision 0.6731182795698925   recall 0.5742890139270478
deviation 4/5   iterations 260/2000   F1 0.5392738641637448   accuracy 0.6397727272727273   precision 0.6760983102918587   recall 0.576294829201806
deviation 4/5   iterations 270/2000   F1 0.545921357827396   accuracy 0.6488636363636363   precision 0.6812596006144394   recall 0.579069817308517
deviation 4/5   iterations 280/2000   F1 0.5326728661042401   accuracy 0.6306818181818182   precision 0.670937019969278   recall 0.5736072305477944
deviation 4/5   iterations 290/2000   F1 0.516226872914771   accuracy 0.6045454545454545   precision 0.6643317972350231   recall 0.5696778328357276
deviation 4/5   iterations 300/2000   F1 0.5191417706556042   accuracy 0.6102272727272727   precision 0.6634408602150537   recall 0.5695257611241218
deviation 4/5   iterations 310/2000   F1 0.5554432937610507   accuracy 0.6727272727272727   precision 0.6701075268817205   recall 0.5769408207391432
deviation 4/5   iterations 320/2000   F1 0.5194920634920634   accuracy 0.6090909090909091   precision 0.6669124423963133   recall 0.5708991256687981
deviation 4/5   iterations 330/2000   F1 0.5504305940738579   accuracy 0.6659090909090909   precision 0.666236559139785   recall 0.5746225431517165
deviation 4/5   iterations 340/2000   F1 0.5473722987954487   accuracy 0.6636363636363637   precision 0.6608294930875576   recall 0.5721953452964768
deviation 4/5   iterations 350/2000   F1 0.5660749506903353   accuracy 0.6909090909090909   precision 0.6721966205837173   recall 0.580148829441003
deviation 4/5   iterations 360/2000   F1 0.5362829261134345   accuracy 0.6409090909090909   precision 0.6643932411674347   recall 0.571648162132922
deviation 4/5   iterations 370/2000   F1 0.5306027487430913   accuracy 0.6261363636363636   precision 0.6724731182795698   recall 0.5739634056367124
deviation 4/5   iterations 380/2000   F1 0.5179470038809351   accuracy 0.5977272727272728   precision 0.6851612903225807   recall 0.5780412387152912
deviation 4/5   iterations 390/2000   F1 0.5193232494478733   accuracy 0.6056818181818182   precision 0.6732104454685099   recall 0.5733518599471263
deviation 4/5   iterations 400/2000   F1 0.5714254089832422   accuracy 0.7   precision 0.6732411674347158   recall 0.5819664982470013
deviation 4/5   iterations 410/2000   F1 0.5387493113224451   accuracy 0.6443181818181818   precision 0.6663287250384025   recall 0.572689093682198
deviation 4/5   iterations 420/2000   F1 0.4844756883421207   accuracy 0.5488636363636363   precision 0.665652841781874   recall 0.569835875331565
deviation 4/5   iterations 430/2000   F1 0.5459960132389263   accuracy 0.6579545454545455   precision 0.6658371735791091   recall 0.57366427214568
deviation 4/5   iterations 440/2000   F1 0.5476132190942473   accuracy 0.6659090909090909   precision 0.6580030721966206   recall 0.5712820512820513
deviation 4/5   iterations 450/2000   F1 0.547142395866968   accuracy 0.6522727272727272   precision 0.6790783410138249   recall 0.5784822193139774
deviation 4/5   iterations 460/2000   F1 0.5558106692178033   accuracy 0.6852272727272727   precision 0.6525038402457757   recall 0.5713218390804597
deviation 4/5   iterations 470/2000   F1 0.5367459625524141   accuracy 0.6397727272727273   precision 0.6678648233486943   recall 0.5729700854700854
deviation 4/5   iterations 480/2000   F1 0.537569178373776   accuracy 0.6409090909090909   precision 0.6685099846390169   recall 0.5733135870059185
deviation 4/5   iterations 490/2000   F1 0.5312262561389622   accuracy 0.6375   precision 0.6542242703533026   recall 0.5672763530319924
deviation 4/5   iterations 500/2000   F1 0.5453582230441734   accuracy 0.6647727272727273   precision 0.6532411674347158   recall 0.5692223998578915
deviation 4/5   iterations 510/2000   F1 0.5420742754411398   accuracy 0.6602272727272728   precision 0.6506605222734254   recall 0.5677138564863909
deviation 4/5   iterations 520/2000   F1 0.5261065672752434   accuracy 0.625   precision 0.6594777265745008   recall 0.5686237183453104
deviation 4/5   iterations 530/2000   F1 0.5395969151707674   accuracy 0.6670454545454545   precision 0.6339477726574501   recall 0.5615068616829181
deviation 4/5   iterations 540/2000   F1 0.5603246833107859   accuracy 0.7045454545454546   precision 0.6387711213517666   recall 0.5684232211780246
deviation 4/5   iterations 550/2000   F1 0.5628108689426219   accuracy 0.7102272727272727   precision 0.6378801843317972   recall 0.5689935064935064
deviation 4/5   iterations 560/2000   F1 0.5439140815648877   accuracy 0.6647727272727273   precision 0.6491244239631336   recall 0.5675382354905496
deviation 4/5   iterations 570/2000   F1 0.5193232494478733   accuracy 0.6056818181818182   precision 0.6732104454685099   recall 0.5733518599471263
deviation 4/5   iterations 580/2000   F1 0.5485734659574623   accuracy 0.6795454545454546   precision 0.6410445468509984   recall 0.5658570453124013
deviation 4/5   iterations 590/2000   F1 0.577350135130735   accuracy 0.7318181818181818   precision 0.6460215053763441   recall 0.5767647989870213
deviation 4/5   iterations 600/2000   F1 0.5485734659574623   accuracy 0.6795454545454546   precision 0.6410445468509984   recall 0.5658570453124013
deviation 4/5   iterations 610/2000   F1 0.5478275498243644   accuracy 0.6806818181818182   precision 0.6375729646697389   recall 0.5645483060033673
deviation 4/5   iterations 620/2000   F1 0.5765406073638284   accuracy 0.7284090909090909   precision 0.6482027649769585   recall 0.5769446712944059
deviation 4/5   iterations 630/2000   F1 0.5430142798797288   accuracy 0.6806818181818182   precision 0.6252227342549923   recall 0.5593490820985928
deviation 4/5   iterations 640/2000   F1 0.502164502164502   accuracy 0.5818181818181818   precision 0.6596620583717357   recall 0.5672103501611393
deviation 4/5   iterations 650/2000   F1 0.5296730438933774   accuracy 0.6488636363636363   precision 0.6318586789554532   recall 0.5589767830445871
deviation 4/5   iterations 660/2000   F1 0.5577108548297268   accuracy 0.7056818181818182   precision 0.6311827956989247   recall 0.5653608777644437
deviation 4/5   iterations 670/2000   F1 0.5703125   accuracy 0.725   precision 0.6380337941628265   recall 0.5718415616145723
deviation 4/5   iterations 680/2000   F1 0.5380660187217271   accuracy 0.6670454545454545   precision 0.629831029185868   recall 0.5597906055461234
deviation 4/5   iterations 690/2000   F1 0.5386762445185925   accuracy 0.6636363636363637   precision 0.6361290322580645   recall 0.5620689075536082
deviation 4/5   iterations 700/2000   F1 0.5409786208494017   accuracy 0.6647727272727273   precision 0.6408909370199694   recall 0.5641520624902079
deviation 4/5   iterations 710/2000   F1 0.5457311178086954   accuracy 0.6693181818181818   precision 0.6475883256528419   recall 0.5673871083580214
deviation 4/5   iterations 720/2000   F1 0.5333333333333333   accuracy 0.65   precision 0.64073732718894   recall 0.5627276461728057
deviation 4/5   iterations 730/2000   F1 0.5194701747882152   accuracy 0.6284090909090909   precision 0.6325960061443932   recall 0.5578415816107728
deviation 4/5   iterations 740/2000   F1 0.5662519256752185   accuracy 0.7102272727272727   precision 0.6461136712749616   recall 0.5724929275192664
deviation 4/5   iterations 750/2000   F1 0.5470077981249453   accuracy 0.6795454545454546   precision 0.6369278033794163   recall 0.5641409402540886
deviation 4/5   iterations 760/2000   F1 0.52686432025275   accuracy 0.6511363636363636   precision 0.6207987711213518   recall 0.5545674571453948
deviation 4/5   iterations 770/2000   F1 0.552818061504269   accuracy 0.6897727272727273   precision 0.6386175115207373   recall 0.5661599099099099
deviation 4/5   iterations 780/2000   F1 0.5561558441558442   accuracy 0.696590909090909   precision 0.6383717357910906   recall 0.5670238095238095
deviation 4/5   iterations 790/2000   F1 0.5227930560448746   accuracy 0.6431818181818182   precision 0.6203993855606759   recall 0.5537877914477549
deviation 4/5   iterations 800/2000   F1 0.5120156000472931   accuracy 0.6215909090909091   precision 0.6204915514592935   recall 0.5524679466598172
deviation 4/5   iterations 810/2000   F1 0.5436605110771802   accuracy 0.6727272727272727   precision 0.6371735791090629   recall 0.5634553836883425
deviation 4/5   iterations 820/2000   F1 0.5561468522018503   accuracy 0.6988636363636364   precision 0.6355453149001536   recall 0.566165178999904
deviation 4/5   iterations 830/2000   F1 0.5653503304560529   accuracy 0.7136363636363636   precision 0.6398156682027649   recall 0.5704231890516778
deviation 4/5   iterations 840/2000   F1 0.5364542319978716   accuracy 0.6647727272727273   precision 0.6285407066052228   recall 0.5590240158902131
deviation 4/5   iterations 850/2000   F1 0.5628038365523584   accuracy 0.725   precision 0.6215668202764977   recall 0.5645728758020614
deviation 4/5   iterations 860/2000   F1 0.5730822449461712   accuracy 0.7386363636363636   precision 0.6293087557603687   recall 0.5709871754221452
deviation 4/5   iterations 870/2000   F1 0.5373224626199188   accuracy 0.6681818181818182   precision 0.6263594470046083   recall 0.5584528540000341
deviation 4/5   iterations 880/2000   F1 0.556979405034325   accuracy 0.7   precision 0.6361904761904762   recall 0.5666115702479338
deviation 4/5   iterations 890/2000   F1 0.5494706941256131   accuracy 0.6829545454545455   precision 0.6388632872503841   recall 0.5653693076638282
deviation 4/5   iterations 900/2000   F1 0.5001922708718478   accuracy 0.5988636363636364   precision 0.6199385560675883   recall 0.5512432795698925
deviation 4/5   iterations 910/2000   F1 0.5131922472357334   accuracy 0.6272727272727273   precision 0.6154838709677419   recall 0.5507098570572904
deviation 4/5   iterations 920/2000   F1 0.5395969151707674   accuracy 0.6670454545454545   precision 0.6339477726574501   recall 0.5615068616829181
deviation 4/5   iterations 930/2000   F1 0.5943178772447064   accuracy 0.7556818181818182   precision 0.6554531490015361   recall 0.5871212121212122
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deviation 4/5   iterations 940/2000   F1 0.577350135130735   accuracy 0.7318181818181818   precision 0.6460215053763441   recall 0.5767647989870213
deviation 4/5   iterations 950/2000   F1 0.5619007299041168   accuracy 0.7113636363636363   precision 0.6344086021505376   recall 0.5676997257967678
deviation 4/5   iterations 960/2000   F1 0.5760416666666666   accuracy 0.7477272727272727   precision 0.6262365591397849   recall 0.5718482252141983
deviation 4/5   iterations 970/2000   F1 0.5856909613939305   accuracy 0.7522727272727273   precision 0.6411674347158218   recall 0.5798458341152838
deviation 4/5   iterations 980/2000   F1 0.5490951314976845   accuracy 0.7011363636363637   precision 0.6162519201228879   recall 0.5581709956709957
deviation 4/5   iterations 990/2000   F1 0.5550015288002446   accuracy 0.7068181818181818   precision 0.6235944700460829   recall 0.5622527992869478
deviation 4/5   iterations 1000/2000   F1 0.5429377164511296   accuracy 0.6852272727272727   precision 0.6195698924731183   recall 0.5574841667454391
deviation 4/5   iterations 1010/2000   F1 0.538163440602465   accuracy 0.6715909090909091   precision 0.6241781874039938   recall 0.5578897316620455
deviation 4/5   iterations 1020/2000   F1 0.5490951314976845   accuracy 0.7011363636363637   precision 0.6162519201228879   recall 0.5581709956709957
deviation 4/5   iterations 1030/2000   F1 0.5511599550522398   accuracy 0.7090909090909091   precision 0.6125345622119815   recall 0.5577283128770543
deviation 4/5   iterations 1040/2000   F1 0.5495378938308968   accuracy 0.6897727272727273   precision 0.6303840245775729   recall 0.5626831458549958
deviation 4/5   iterations 1050/2000   F1 0.5453688410223921   accuracy 0.6886363636363636   precision 0.6215053763440861   recall 0.5587426256097053
deviation 4/5   iterations 1060/2000   F1 0.5633663049393386   accuracy 0.7181818181818181   precision 0.6300460829493088   recall 0.5670291805749973
deviation 4/5   iterations 1070/2000   F1 0.5438235294117647   accuracy 0.6795454545454546   precision 0.628694316436252   recall 0.5606837606837607
deviation 4/5   iterations 1080/2000   F1 0.5184159981922947   accuracy 0.6477272727272727   precision 0.6023963133640553   recall 0.5465609441268671
deviation 4/5   iterations 1090/2000   F1 0.520532094209831   accuracy 0.6602272727272728   precision 0.5930261136712749   recall 0.5435057471264368
deviation 4/5   iterations 1100/2000   F1 0.5708915686447984   accuracy 0.7306818181818182   precision 0.6330261136712749   recall 0.5708460954475248
deviation 4/5   iterations 1110/2000   F1 0.5481023276963723   accuracy 0.7022727272727273   precision 0.6127803379416283   recall 0.5568058727771278
deviation 4/5   iterations 1120/2000   F1 0.5763265586849617   accuracy 0.7454545454545455   precision 0.6290629800307219   recall 0.5725516202792227
deviation 4/5   iterations 1130/2000   F1 0.5588226411447417   accuracy 0.7170454545454545   precision 0.6211674347158218   recall 0.5629083299305839
deviation 4/5   iterations 1140/2000   F1 0.5757000333475644   accuracy 0.7420454545454546   precision 0.6312442396313364   recall 0.5726807491289199
deviation 4/5   iterations 1150/2000   F1 0.581643245317911   accuracy 0.7522727272727273   precision 0.6329339477726574   recall 0.576141506711433
deviation 4/5   iterations 1160/2000   F1 0.5760416666666666   accuracy 0.7477272727272727   precision 0.6262365591397849   recall 0.5718482252141983
deviation 4/5   iterations 1170/2000   F1 0.5855557433384034   accuracy 0.7625   precision 0.6305069124423963   recall 0.5780882352941177
deviation 4/5   iterations 1180/2000   F1 0.5642440433092819   accuracy 0.7295454545454545   precision 0.6200307219662058   recall 0.5647922733514206
deviation 4/5   iterations 1190/2000   F1 0.5693699166413553   accuracy 0.7363636363636363   precision 0.6239016897081413   recall 0.5680188354662655
deviation 4/5   iterations 1200/2000   F1 0.5702316495383712   accuracy 0.7375   precision 0.624546850998464   recall 0.5685705393629401
deviation 4/5   iterations 1210/2000   F1 0.5685962501305946   accuracy 0.7227272727272728   precision 0.6367434715821813   recall 0.570822115721205
deviation 4/5   iterations 1220/2000   F1 0.5277369788724439   accuracy 0.6545454545454545   precision 0.6186175115207373   recall 0.5539369352756777
deviation 4/5   iterations 1230/2000   F1 0.5574933298626927   accuracy 0.7102272727272727   precision 0.6255299539170507   recall 0.5636543782247813
deviation 4/5   iterations 1240/2000   F1 0.5534690589073782   accuracy 0.7022727272727273   precision 0.6251305683563748   recall 0.5622132204238992
deviation 4/5   iterations 1250/2000   F1 0.5602790881705693   accuracy 0.7215909090909091   precision 0.6196313364055299   recall 0.5630521516101453
deviation 4/5   iterations 1260/2000   F1 0.5397138288743576   accuracy 0.6806818181818182   precision 0.6169892473118279   recall 0.5558370870870871
deviation 4/5   iterations 1270/2000   F1 0.5594412425515288   accuracy 0.7204545454545455   precision 0.6189861751152074   recall 0.5625520863616101
deviation 4/5   iterations 1280/2000   F1 0.5401983218916857   accuracy 0.6886363636363636   precision 0.6091551459293394   recall 0.5533884297520661
deviation 4/5   iterations 1290/2000   F1 0.550178329848727   accuracy 0.6977272727272728   precision 0.6225499231950845   recall 0.560425111640279
deviation 4/5   iterations 1300/2000   F1 0.5771918598958463   accuracy 0.7602272727272728   precision 0.6168663594470046   recall 0.5709362692445399
deviation 4/5   iterations 1310/2000   F1 0.587379465468853   accuracy 0.7647727272727273   precision 0.6317972350230414   recall 0.5794232649071358
deviation 4/5   iterations 1320/2000   F1 0.586013986013986   accuracy 0.7477272727272727   precision 0.6468202764976958   recall 0.5810687022900763
deviation 4/5   iterations 1330/2000   F1 0.5822843822843823   accuracy 0.7454545454545455   precision 0.6414132104454685   recall 0.5780831212892281
deviation 4/5   iterations 1340/2000   F1 0.569327368465942   accuracy 0.7261363636363637   precision 0.6345622119815668   recall 0.5705613980822765
deviation 4/5   iterations 1350/2000   F1 0.5801366464368869   accuracy 0.7727272727272727   precision 0.6116129032258064   recall 0.5723826297627491
deviation 4/5   iterations 1360/2000   F1 0.5857608852492365   accuracy 0.7738636363636363   precision 0.6204915514592934   recall 0.5771828458074876
deviation 4/5   iterations 1370/2000   F1 0.5673659673659674   accuracy 0.7363636363636363   precision 0.6197849462365592   recall 0.5661407972858354
deviation 4/5   iterations 1380/2000   F1 0.5558594640356875   accuracy 0.7181818181818181   precision 0.6135791090629801   recall 0.5597095438365279
deviation 4/5   iterations 1390/2000   F1 0.5606836750037592   accuracy 0.7170454545454545   precision 0.625284178187404   recall 0.5647301587301587
deviation 4/5   iterations 1400/2000   F1 0.5688691162739605   accuracy 0.7465909090909091   precision 0.6132411674347158   recall 0.5654939587775409
deviation 4/5   iterations 1410/2000   F1 0.5602198900549725   accuracy 0.7090909090909091   precision 0.6331182795698924   recall 0.5667556125247272
deviation 4/5   iterations 1420/2000   F1 0.5741712490180675   accuracy 0.7375   precision 0.6327803379416282   recall 0.5722742474916388
deviation 4/5   iterations 1430/2000   F1 0.5734146861689408   accuracy 0.7443181818181818   precision 0.6243010752688172   recall 0.5700892485933646
deviation 4/5   iterations 1440/2000   F1 0.5830042647291107   accuracy 0.7647727272727273   precision 0.6235637480798771   recall 0.5755537855790328
deviation 4/5   iterations 1450/2000   F1 0.5715676728334955   accuracy 0.7340909090909091   precision 0.6308448540706606   recall 0.5706297138990786
deviation 4/5   iterations 1460/2000   F1 0.6013468013468013   accuracy 0.7897727272727273   precision 0.6336405529953917   recall 0.59009942004971
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deviation 4/5   iterations 1470/2000   F1 0.6043798623863696   accuracy 0.7988636363636363   precision 0.6305683563748079   recall 0.593139661278446
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deviation 4/5   iterations 1480/2000   F1 0.6020966958618726   accuracy 0.7852272727272728   precision 0.6392933947772658   recall 0.5907119305995711
deviation 4/5   iterations 1490/2000   F1 0.581643245317911   accuracy 0.7522727272727273   precision 0.6329339477726574   recall 0.576141506711433
deviation 4/5   iterations 1500/2000   F1 0.5783385099810903   accuracy 0.7454545454545455   precision 0.6331797235023041   recall 0.5744134469475896
deviation 4/5   iterations 1510/2000   F1 0.5623662343885589   accuracy 0.7193181818181819   precision 0.6265745007680492   recall 0.5657155982033483
deviation 4/5   iterations 1520/2000   F1 0.5996795661272105   accuracy 0.7670454545454546   precision 0.6536712749615976   recall 0.5900651090432427
deviation 4/5   iterations 1530/2000   F1 0.6167557932263815   accuracy 0.8045454545454546   precision 0.6461443932411675   recall 0.6037386927659871
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deviation 4/5   iterations 1540/2000   F1 0.5907213513044485   accuracy 0.7715909090909091   precision 0.6315514592933947   recall 0.5816552250190694
deviation 4/5   iterations 1550/2000   F1 0.5821004566210045   accuracy 0.7636363636363637   precision 0.6229185867895546   recall 0.5748830245180611
deviation 4/5   iterations 1560/2000   F1 0.5944187391555813   accuracy 0.7681818181818182   precision 0.6419662058371736   recall 0.5852463492204045
deviation 4/5   iterations 1570/2000   F1 0.5944596108814703   accuracy 0.7761363636363636   precision 0.6341321044546852   recall 0.5845573425056552
deviation 4/5   iterations 1580/2000   F1 0.5895217170863614   accuracy 0.7647727272727273   precision 0.6359139784946237   recall 0.5813235294117647
deviation 4/5   iterations 1590/2000   F1 0.5789738027662858   accuracy 0.7488636363636364   precision 0.6309984639016897   recall 0.5743250780901383
deviation 4/5   iterations 1600/2000   F1 0.5740912973755405   accuracy 0.7534090909090909   precision 0.6171121351766513   recall 0.5691060447847779
deviation 4/5   iterations 1610/2000   F1 0.5994069977190347   accuracy 0.7875   precision 0.6323502304147466   recall 0.5884410721324399
deviation 4/5   iterations 1620/2000   F1 0.5998065442890863   accuracy 0.7852272727272728   precision 0.6351766513056836   recall 0.5887784090909091
deviation 4/5   iterations 1630/2000   F1 0.6102604314144032   accuracy 0.7920454545454545   precision 0.6472811059907834   recall 0.5975627625280844
deviation 4/5   iterations 1640/2000   F1 0.6119728735734116   accuracy 0.7965909090909091   precision 0.6457450076804916   recall 0.5991506153023007
deviation 4/5   iterations 1650/2000   F1 0.6112828926610714   accuracy 0.8011363636363636   precision 0.6400921658986175   recall 0.5989583333333333
deviation 4/5   iterations 1660/2000   F1 0.5900298292600532   accuracy 0.7602272727272728   precision 0.6415668202764977   recall 0.5824175824175823
deviation 4/5   iterations 1670/2000   F1 0.5906857077549111   accuracy 0.8011363636363636   precision 0.60715821812596   recall 0.5822765700483092
deviation 4/5   iterations 1680/2000   F1 0.584482985153068   accuracy 0.7386363636363636   precision 0.6540092165898617   recall 0.5818053642647798
deviation 4/5   iterations 1690/2000   F1 0.5939158024424225   accuracy 0.7625   precision 0.6469738863287251   recall 0.5855654761904762
deviation 4/5   iterations 1700/2000   F1 0.6125055041831792   accuracy 0.8136363636363636   precision 0.6307219662058372   recall 0.6020883117880209
deviation 4/5   iterations 1710/2000   F1 0.5692646390198377   accuracy 0.7443181818181818   precision 0.6160675883256529   recall 0.566269540568606
deviation 4/5   iterations 1720/2000   F1 0.6048475908797861   accuracy 0.7965909090909091   precision 0.633394777265745   recall 0.5933233605007049
deviation 4/5   iterations 1730/2000   F1 0.5931461352657004   accuracy 0.7772727272727272   precision 0.6306605222734255   recall 0.5833588133374101
deviation 4/5   iterations 1740/2000   F1 0.5917809289425368   accuracy 0.7840909090909091   precision 0.6221812596006144   recall 0.5820074398502132
deviation 4/5   iterations 1750/2000   F1 0.6083949181883892   accuracy 0.803409090909091   precision 0.6331490015360983   recall 0.5969106650924833
deviation 4/5   iterations 1760/2000   F1 0.5875676327829904   accuracy 0.7704545454545455   precision 0.62678955453149   recall 0.5790013706077382
deviation 4/5   iterations 1770/2000   F1 0.5825070451936123   accuracy 0.7727272727272727   precision 0.6157296466973886   recall 0.5744354602865973
deviation 4/5   iterations 1780/2000   F1 0.587379465468853   accuracy 0.7647727272727273   precision 0.6317972350230414   recall 0.5794232649071358
deviation 4/5   iterations 1790/2000   F1 0.6150957721604647   accuracy 0.8193181818181818   precision 0.6298310291858679   recall 0.605688047697171
deviation 4/5   iterations 1800/2000   F1 0.5927325470437802   accuracy 0.7795454545454545   precision 0.6278341013824885   recall 0.5829023183162123
deviation 4/5   iterations 1810/2000   F1 0.5848206374522164   accuracy 0.7670454545454546   precision 0.6248540706605223   recall 0.5769137596899224
deviation 4/5   iterations 1820/2000   F1 0.6000414630062274   accuracy 0.8056818181818182   precision 0.6179723502304147   recall 0.5905797101449275
deviation 4/5   iterations 1830/2000   F1 0.6161739954135682   accuracy 0.8147727272727273   precision 0.635483870967742   recall 0.6052043971143937
deviation 4/5   iterations 1840/2000   F1 0.5652826848141386   accuracy 0.7159090909090909   precision 0.6369892473118279   recall 0.5696235736457833
deviation 4/5   iterations 1850/2000   F1 0.6020966958618726   accuracy 0.7852272727272728   precision 0.6392933947772658   recall 0.5907119305995711
deviation 4/5   iterations 1860/2000   F1 0.6129221445677142   accuracy 0.8056818181818182   precision 0.6385560675883256   recall 0.6008461235733963
deviation 4/5   iterations 1870/2000   F1 0.6143458453510533   accuracy 0.8045454545454546   precision 0.6420276497695853   recall 0.6018183259772181
deviation 4/5   iterations 1880/2000   F1 0.626985380287075   accuracy 0.8261363636363637   precision 0.6419354838709678   recall 0.6169786096256684
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deviation 4/5   iterations 1890/2000   F1 0.5910621533333791   accuracy 0.7693181818181818   precision 0.6343778801843318   recall 0.5821661507018123
deviation 4/5   iterations 1900/2000   F1 0.6040413956722706   accuracy 0.7875   precision 0.6405837173579109   recall 0.5923295454545454
deviation 4/5   iterations 1910/2000   F1 0.6145523787542194   accuracy 0.8102272727272727   precision 0.6370199692780338   recall 0.602920543494314
deviation 4/5   iterations 1920/2000   F1 0.6136558442915978   accuracy 0.8329545454545455   precision 0.6169892473118279   recall 0.6106770833333333
deviation 4/5   iterations 1930/2000   F1 0.5780167232061808   accuracy 0.7556818181818182   precision 0.6225192012288786   recall 0.5722966701473489
deviation 4/5   iterations 1940/2000   F1 0.571864371121007   accuracy 0.7477272727272727   precision 0.6180030721966205   recall 0.568026126566496
deviation 4/5   iterations 1950/2000   F1 0.6264619552946489   accuracy 0.8397727272727272   precision 0.6290937019969278   recall 0.624025974025974
deviation 4/5   iterations 1960/2000   F1 0.6088324145878103   accuracy 0.821590909090909   precision 0.6187711213517665   recall 0.6017325586291103
deviation 4/5   iterations 1970/2000   F1 0.5698425849212925   accuracy 0.7318181818181818   precision 0.6295545314900154   recall 0.569553026554511
deviation 4/5   iterations 1980/2000   F1 0.560497331966459   accuracy 0.7193181818181819   precision 0.6224577572964669   recall 0.5638929496550485
deviation 4/5   iterations 1990/2000   F1 0.615971523022028   accuracy 0.8261363636363637   precision 0.625468509984639   recall 0.6089136371394436
deviation 4/5   iterations 2000/2000   F1 0.6323068566414574   accuracy 0.8636363636363636   precision 0.617941628264209   recall 0.6552214908379292
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deviation 5/5   iterations 10/2000   F1 0.489445527588696   accuracy 0.6090909090909091   precision 0.5722273425499231   recall 0.5317155823202154
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deviation 5/5   iterations 20/2000   F1 0.4976248212723835   accuracy 0.6284090909090909   precision 0.5708448540706605   recall 0.5319206662089433
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deviation 5/5   iterations 30/2000   F1 0.4330288020546688   accuracy 0.5011363636363636   precision 0.5644546850998464   recall 0.5272184743124027
deviation 5/5   iterations 40/2000   F1 0.48695165315394917   accuracy 0.5988636363636364   precision 0.5787711213517666   recall 0.5341276940114149
deviation 5/5   iterations 50/2000   F1 0.49123647917459345   accuracy 0.6011363636363637   precision 0.588294930875576   recall 0.5381928940486063
deviation 5/5   iterations 60/2000   F1 0.49780636648523824   accuracy 0.6068181818181818   precision 0.5997542242703533   recall 0.5431839340337811
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deviation 5/5   iterations 70/2000   F1 0.4673155254981244   accuracy 0.5386363636363637   precision 0.618678955453149   recall 0.5499273642797691
deviation 5/5   iterations 80/2000   F1 0.522655332706212   accuracy 0.6409090909090909   precision 0.623225806451613   recall 0.5547977769398494
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deviation 5/5   iterations 90/2000   F1 0.5544861402640545   accuracy 0.696590909090909   precision 0.6342549923195084   recall 0.5652800019120916
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deviation 5/5   iterations 100/2000   F1 0.5468295353058108   accuracy 0.675   precision 0.6425806451612903   recall 0.5659566485324966
deviation 5/5   iterations 110/2000   F1 0.5199224417341839   accuracy 0.6329545454545454   precision 0.6269431643625192   recall 0.5557968196352951
deviation 5/5   iterations 120/2000   F1 0.5158854166666667   accuracy 0.615909090909091   precision 0.6419662058371736   recall 0.561003300330033
deviation 5/5   iterations 130/2000   F1 0.4447209495895671   accuracy 0.4943181818181818   precision 0.6346850998463902   recall 0.5581691576086957
deviation 5/5   iterations 140/2000   F1 0.5146937859866896   accuracy 0.5977272727272728   precision 0.6728110599078341   recall 0.5729537920408386
deviation 5/5   iterations 150/2000   F1 0.5198261504955946   accuracy 0.6079545454545454   precision 0.670384024577573   recall 0.5722752767989324
deviation 5/5   iterations 160/2000   F1 0.5459616242748773   accuracy 0.6636363636363637   precision 0.6567127496159755   recall 0.5705216472839281
deviation 5/5   iterations 170/2000   F1 0.5484405401760774   accuracy 0.6670454545454545   precision 0.6586482334869432   recall 0.5716648903099742
deviation 5/5   iterations 180/2000   F1 0.48943583398354246   accuracy 0.571590909090909   precision 0.6332718894009217   recall 0.5561114675386494
deviation 5/5   iterations 190/2000   F1 0.5192029567732604   accuracy 0.6136363636363636   precision 0.6571428571428571   recall 0.5670995670995671
deviation 5/5   iterations 200/2000   F1 0.47750259948955476   accuracy 0.5431818181818182   precision 0.6500768049155146   recall 0.5632539324911561
deviation 5/5   iterations 210/2000   F1 0.5501488681187353   accuracy 0.6636363636363637   precision 0.669062980030722   recall 0.575527996003316
deviation 5/5   iterations 220/2000   F1 0.5584530142081421   accuracy 0.6806818181818182   precision 0.6663901689708142   recall 0.5764039364391478
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deviation 5/5   iterations 230/2000   F1 0.5490126510247142   accuracy 0.6602272727272728   precision 0.6712442396313364   recall 0.5760660713116007
deviation 5/5   iterations 240/2000   F1 0.567992145311733   accuracy 0.6954545454545454   precision 0.6706605222734254   recall 0.5802045613366368
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deviation 5/5   iterations 250/2000   F1 0.4935220788126669   accuracy 0.5727272727272728   precision 0.6462672811059909   recall 0.5615335701102719
deviation 5/5   iterations 260/2000   F1 0.5443414363224677   accuracy 0.6556818181818181   precision 0.664546850998464   recall 0.5729302832244009
deviation 5/5   iterations 270/2000   F1 0.5621890547263682   accuracy 0.6818181818181818   precision 0.6752688172043011   recall 0.5801376597836775
deviation 5/5   iterations 280/2000   F1 0.535143151498448   accuracy 0.634090909090909   precision 0.6728725038402458   recall 0.5746052959551122
deviation 5/5   iterations 290/2000   F1 0.5097155448717949   accuracy 0.5954545454545455   precision 0.6591705069124424   recall 0.567281869607451
deviation 5/5   iterations 300/2000   F1 0.5191417706556042   accuracy 0.6102272727272727   precision 0.6634408602150537   recall 0.5695257611241218
deviation 5/5   iterations 310/2000   F1 0.5379264214046823   accuracy 0.6431818181818182   precision 0.6656835637480798   recall 0.5723407109322602
deviation 5/5   iterations 320/2000   F1 0.4686083349377767   accuracy 0.5295454545454545   precision 0.6464516129032258   recall 0.5619957238946892
deviation 5/5   iterations 330/2000   F1 0.4747435849964824   accuracy 0.5420454545454545   precision 0.6411981566820277   recall 0.559472049689441
deviation 5/5   iterations 340/2000   F1 0.5493163700447822   accuracy 0.6625   precision 0.6684178187403994   recall 0.5751518940141694
deviation 5/5   iterations 350/2000   F1 0.574719614921781   accuracy 0.7147727272727272   precision 0.6610445468509984   recall 0.5795689131754705
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deviation 5/5   iterations 360/2000   F1 0.5590618336886993   accuracy 0.6795454545454546   precision 0.6698617511520737   recall 0.5776654024441634
deviation 5/5   iterations 370/2000   F1 0.5506906801888442   accuracy 0.6681818181818182   precision 0.663410138248848   recall 0.5737214137214137
deviation 5/5   iterations 380/2000   F1 0.5454784714180441   accuracy 0.6431818181818182   precision 0.690384024577573   recall 0.5822882971886271
deviation 5/5   iterations 390/2000   F1 0.4998065015479876   accuracy 0.5727272727272728   precision 0.6709677419354839   recall 0.5718624579672416
deviation 5/5   iterations 400/2000   F1 0.49647148579057787   accuracy 0.5738636363636364   precision 0.6551459293394777   recall 0.5652454780361758
deviation 5/5   iterations 410/2000   F1 0.5551484308736218   accuracy 0.6613636363636364   precision 0.6883563748079877   recall 0.5830421237979141
deviation 5/5   iterations 420/2000   F1 0.5558881892899566   accuracy 0.6659090909090909   precision 0.6827035330261138   recall 0.5812471651611282
deviation 5/5   iterations 430/2000   F1 0.5239277235725788   accuracy 0.6136363636363636   precision 0.6736098310291858   recall 0.5738148606778793
deviation 5/5   iterations 440/2000   F1 0.5430128866661375   accuracy 0.6431818181818182   precision 0.6821505376344086   recall 0.5789813023855577
deviation 5/5   iterations 450/2000   F1 0.5517602996254681   accuracy 0.6715909090909091   precision 0.6612288786482334   recall 0.5732142857142857
deviation 5/5   iterations 460/2000   F1 0.5236622332199196   accuracy 0.6181818181818182   precision 0.6638402457757296   recall 0.5700416598809568
deviation 5/5   iterations 470/2000   F1 0.5145967686013453   accuracy 0.6022727272727273   precision 0.6630414746543779   recall 0.5690731417802051
deviation 5/5   iterations 480/2000   F1 0.47962267579640694   accuracy 0.5488636363636363   precision 0.6450691244239631   recall 0.5610380343736427
deviation 5/5   iterations 490/2000   F1 0.5382628350016144   accuracy 0.6454545454545455   precision 0.6628571428571428   recall 0.5713731762881101
deviation 5/5   iterations 500/2000   F1 0.5557059206245933   accuracy 0.6693181818181818   precision 0.6764055299539171   recall 0.5790909090909091
deviation 5/5   iterations 510/2000   F1 0.5540265432387041   accuracy 0.6670454545454545   precision 0.6751152073732719   recall 0.5783242458886642
deviation 5/5   iterations 520/2000   F1 0.5487679813742066   accuracy 0.6636363636363637   precision 0.6649462365591398   recall 0.5738640428353666
deviation 5/5   iterations 530/2000   F1 0.48830801710410965   accuracy 0.5568181818181818   precision 0.6619354838709678   recall 0.5681250678536532
deviation 5/5   iterations 540/2000   F1 0.5199571253572887   accuracy 0.6113636363636363   precision 0.6640860215053763   recall 0.5698356162950643
deviation 5/5   iterations 550/2000   F1 0.5621890547263682   accuracy 0.6818181818181818   precision 0.6752688172043011   recall 0.5801376597836775
deviation 5/5   iterations 560/2000   F1 0.5505082055033201   accuracy 0.6738636363636363   precision 0.6542857142857144   recall 0.5706432445814859
deviation 5/5   iterations 570/2000   F1 0.5556999209128912   accuracy 0.675   precision 0.6672811059907834   recall 0.5760649087221095
deviation 5/5   iterations 580/2000   F1 0.5129682272144097   accuracy 0.6   precision 0.6617511520737327   recall 0.5684723067559343
deviation 5/5   iterations 590/2000   F1 0.5013034115380256   accuracy 0.5852272727272727   precision 0.6492473118279569   recall 0.56295225062719
deviation 5/5   iterations 600/2000   F1 0.5330047561873554   accuracy 0.6363636363636364   precision 0.6618125960061444   recall 0.5702795168633479
deviation 5/5   iterations 610/2000   F1 0.5403974332923014   accuracy 0.6465909090909091   precision 0.6676190476190476   recall 0.5733901515151516
deviation 5/5   iterations 620/2000   F1 0.5490294511378848   accuracy 0.6659090909090909   precision 0.6621198156682028   recall 0.5729548584037029
deviation 5/5   iterations 630/2000   F1 0.5300860359135263   accuracy 0.634090909090909   precision 0.6564055299539171   recall 0.5679310841752998
deviation 5/5   iterations 640/2000   F1 0.5130945416553707   accuracy 0.6034090909090909   precision 0.6554531490015361   recall 0.5660009182736455
deviation 5/5   iterations 650/2000   F1 0.4967532467532467   accuracy 0.5772727272727273   precision 0.648847926267281   recall 0.5626581001598461
deviation 5/5   iterations 660/2000   F1 0.5613417323169877   accuracy 0.6806818181818182   precision 0.6746236559139784   recall 0.5797311248765599
deviation 5/5   iterations 670/2000   F1 0.5355434603331684   accuracy 0.6363636363636364   precision 0.6700460829493088   recall 0.5736135124351642
deviation 5/5   iterations 680/2000   F1 0.5437033734129859   accuracy 0.6511363636363636   precision 0.670199692780338   recall 0.5748098695013395
deviation 5/5   iterations 690/2000   F1 0.5410429822013152   accuracy 0.6511363636363636   precision 0.6619662058371736   recall 0.5714812565081568
deviation 5/5   iterations 700/2000   F1 0.558806914472941   accuracy 0.6772727272727272   precision 0.6726881720430107   recall 0.5785235724383797
deviation 5/5   iterations 710/2000   F1 0.5253482154635887   accuracy 0.6329545454545454   precision 0.643410138248848   recall 0.5625589673213827
deviation 5/5   iterations 720/2000   F1 0.5333480079242792   accuracy 0.6386363636363637   precision 0.6589861751152073   recall 0.5692915789642817
deviation 5/5   iterations 730/2000   F1 0.5435155039553344   accuracy 0.6545454545454545   precision 0.6639016897081413   recall 0.5725656831647615
deviation 5/5   iterations 740/2000   F1 0.5588525388239084   accuracy 0.6852272727272727   precision 0.6607373271889401   recall 0.5746984649122807
deviation 5/5   iterations 750/2000   F1 0.5602100489318536   accuracy 0.6954545454545454   precision 0.6500768049155146   recall 0.571757613504827
deviation 5/5   iterations 760/2000   F1 0.5625296842976764   accuracy 0.6943181818181818   precision 0.6576651305683564   recall 0.574725095517659
deviation 5/5   iterations 770/2000   F1 0.5603483881905854   accuracy 0.6852272727272727   precision 0.6648540706605223   recall 0.5763760788868393
deviation 5/5   iterations 780/2000   F1 0.5618940670035562   accuracy 0.6977272727272728   precision 0.6513671274961598   recall 0.5726374760430488
deviation 5/5   iterations 790/2000   F1 0.5571228470271906   accuracy 0.675   precision 0.6713978494623656   recall 0.5777283645138459
deviation 5/5   iterations 800/2000   F1 0.5745092350836477   accuracy 0.7102272727272727   precision 0.6666973886328725   recall 0.5810547575228854
deviation 5/5   iterations 810/2000   F1 0.5467869182732512   accuracy 0.6647727272727273   precision 0.657357910906298   recall 0.5709009767225532
deviation 5/5   iterations 820/2000   F1 0.5494859337927918   accuracy 0.6704545454545454   precision 0.6564669738863287   recall 0.5711475812895691
deviation 5/5   iterations 830/2000   F1 0.5393939393939393   accuracy 0.6545454545454545   precision 0.6515514592933949   recall 0.5675475831849925
deviation 5/5   iterations 840/2000   F1 0.5766201217329037   accuracy 0.7068181818181818   precision 0.6771121351766514   recall 0.5846842665005788
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deviation 5/5   iterations 850/2000   F1 0.5782030159959171   accuracy 0.7193181818181819   precision 0.6636251920122889   recall 0.5815250667385075
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deviation 5/5   iterations 860/2000   F1 0.5854059974179653   accuracy 0.7375   precision 0.6574807987711213   recall 0.5830008549444287
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deviation 5/5   iterations 870/2000   F1 0.568799931007989   accuracy 0.7159090909090909   precision 0.6452227342549923   recall 0.5731466523065877
deviation 5/5   iterations 880/2000   F1 0.5528073916133618   accuracy 0.675   precision 0.6590476190476191   recall 0.5727208877651355
deviation 5/5   iterations 890/2000   F1 0.5581782858307077   accuracy 0.6863636363636364   precision 0.6572657450076804   recall 0.5734311075918499
deviation 5/5   iterations 900/2000   F1 0.5163379325836251   accuracy 0.6079545454545454   precision 0.6580337941628265   recall 0.5672256607561057
deviation 5/5   iterations 910/2000   F1 0.5127260229507571   accuracy 0.6045454545454545   precision 0.6519815668202765   recall 0.5646190259730082
deviation 5/5   iterations 920/2000   F1 0.5528073916133618   accuracy 0.675   precision 0.6590476190476191   recall 0.5727208877651355
deviation 5/5   iterations 930/2000   F1 0.5640828743423585   accuracy 0.6943181818181818   precision 0.6617818740399386   recall 0.5764145248543103
deviation 5/5   iterations 940/2000   F1 0.5781339050389791   accuracy 0.7352272727272727   precision 0.6438402457757297   recall 0.5766054085185476
deviation 5/5   iterations 950/2000   F1 0.5399073068386505   accuracy 0.6477272727272727   precision 0.664147465437788   recall 0.5720784161364998
deviation 5/5   iterations 960/2000   F1 0.5305534956621122   accuracy 0.6329545454545454   precision 0.6598771121351766   recall 0.5692669733367408
deviation 5/5   iterations 970/2000   F1 0.5519753636120123   accuracy 0.6738636363636363   precision 0.6584024577572964   recall 0.5723247149654367
deviation 5/5   iterations 980/2000   F1 0.5603246833107859   accuracy 0.7045454545454546   precision 0.6387711213517666   recall 0.5684232211780246
deviation 5/5   iterations 990/2000   F1 0.556979405034325   accuracy 0.7   precision 0.6361904761904762   recall 0.5666115702479338
deviation 5/5   iterations 1000/2000   F1 0.5594480343132612   accuracy 0.7056818181818182   precision 0.635299539170507   recall 0.5671275973075798
deviation 5/5   iterations 1010/2000   F1 0.5603356216628528   accuracy 0.7022727272727273   precision 0.6415975422427036   recall 0.5692561983471074
deviation 5/5   iterations 1020/2000   F1 0.5633756924079505   accuracy 0.6954545454545454   precision 0.658310291858679   recall 0.5751608819187977
deviation 5/5   iterations 1030/2000   F1 0.5652826848141386   accuracy 0.7159090909090909   precision 0.6369892473118279   recall 0.5696235736457833
deviation 5/5   iterations 1040/2000   F1 0.5611760817273247   accuracy 0.7034090909090909   precision 0.642242703533026   recall 0.5697104381971043
deviation 5/5   iterations 1050/2000   F1 0.5422759059122695   accuracy 0.6625   precision 0.6478341013824884   recall 0.5667799094058087
deviation 5/5   iterations 1060/2000   F1 0.5127423649328576   accuracy 0.6079545454545454   precision 0.6456835637480798   recall 0.5621709215246167
deviation 5/5   iterations 1070/2000   F1 0.5323108471824668   accuracy 0.6465909090909091   precision 0.6429185867895545   recall 0.5633442265795207
deviation 5/5   iterations 1080/2000   F1 0.5809659090909092   accuracy 0.7318181818181818   precision 0.6542549923195085   recall 0.5802841043549449
deviation 5/5   iterations 1090/2000   F1 0.5721993321591661   accuracy 0.7227272727272728   precision 0.6449769585253455   recall 0.5743707093821511
deviation 5/5   iterations 1100/2000   F1 0.5654019183430948   accuracy 0.7090909090909091   precision 0.645468509984639   recall 0.5720222196533199
deviation 5/5   iterations 1110/2000   F1 0.5610513395817881   accuracy 0.696590909090909   precision 0.6507219662058372   recall 0.5721963221963222
deviation 5/5   iterations 1120/2000   F1 0.5377611766079141   accuracy 0.6522727272727272   precision 0.6502611367127497   recall 0.5668202261313398
deviation 5/5   iterations 1130/2000   F1 0.5399627376673506   accuracy 0.6534090909090909   precision 0.6550230414746544   recall 0.5688606738138388
deviation 5/5   iterations 1140/2000   F1 0.5678348701437833   accuracy 0.7056818181818182   precision 0.6558832565284178   recall 0.5757965056526207
deviation 5/5   iterations 1150/2000   F1 0.5670518593154696   accuracy 0.7159090909090909   precision 0.6411059907834101   recall 0.5713912670434409
deviation 5/5   iterations 1160/2000   F1 0.5510458590782834   accuracy 0.6829545454545455   precision 0.6429800307219662   recall 0.5670852648815702
deviation 5/5   iterations 1170/2000   F1 0.5704710367728447   accuracy 0.7113636363636363   precision 0.6549923195084486   recall 0.5764213307157702
deviation 5/5   iterations 1180/2000   F1 0.5704761904761905   accuracy 0.7204545454545455   precision 0.6436866359447004   recall 0.573364705882353
deviation 5/5   iterations 1190/2000   F1 0.5450623578319868   accuracy 0.6704545454545454   precision 0.6441167434715822   recall 0.5660812189033702
deviation 5/5   iterations 1200/2000   F1 0.5458822815165589   accuracy 0.6715909090909091   precision 0.6447619047619049   recall 0.5664725532683279
deviation 5/5   iterations 1210/2000   F1 0.5454545454545454   accuracy 0.6590909090909091   precision 0.6623655913978495   recall 0.5723675201971793
deviation 5/5   iterations 1220/2000   F1 0.5483486587563078   accuracy 0.675   precision 0.6466973886328725   recall 0.5676579441053282
deviation 5/5   iterations 1230/2000   F1 0.5683135613313602   accuracy 0.7272727272727273   precision 0.6310906298003072   recall 0.5692699303242229
deviation 5/5   iterations 1240/2000   F1 0.5696173958842783   accuracy 0.7193181818181819   precision 0.6430414746543779   recall 0.5728665865384616
deviation 5/5   iterations 1250/2000   F1 0.5602863251836013   accuracy 0.7068181818181818   precision 0.6359447004608294   recall 0.567589860146269
deviation 5/5   iterations 1260/2000   F1 0.5713368286480607   accuracy 0.7215909090909091   precision 0.6443317972350231   recall 0.5738660662624839
deviation 5/5   iterations 1270/2000   F1 0.5863004962758869   accuracy 0.7386363636363636   precision 0.658125960061444   recall 0.5835557373749181
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deviation 5/5   iterations 1280/2000   F1 0.5922371916054464   accuracy 0.7579545454545454   precision 0.6485099846390169   recall 0.5847927366618956
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deviation 5/5   iterations 1290/2000   F1 0.5993394809625094   accuracy 0.7715909090909091   precision 0.6480184331797235   recall 0.5891984359726294
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deviation 5/5   iterations 1300/2000   F1 0.6102604314144032   accuracy 0.7920454545454545   precision 0.6472811059907834   recall 0.5975627625280844
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deviation 5/5   iterations 1310/2000   F1 0.5925572781337803   accuracy 0.7511363636363636   precision 0.656989247311828   recall 0.5864320316094287
deviation 5/5   iterations 1320/2000   F1 0.5888363400345455   accuracy 0.7488636363636364   precision 0.6515821812596005   recall 0.5834551162350139
deviation 5/5   iterations 1330/2000   F1 0.5851154019353106   accuracy 0.7465909090909091   precision 0.6461751152073733   recall 0.5804782008605992
deviation 5/5   iterations 1340/2000   F1 0.5827355623100303   accuracy 0.7340909090909091   precision 0.6555453149001536   recall 0.5813594729230275
deviation 5/5   iterations 1350/2000   F1 0.5851154019353106   accuracy 0.7465909090909091   precision 0.6461751152073733   recall 0.5804782008605992
deviation 5/5   iterations 1360/2000   F1 0.6050732892838155   accuracy 0.7784090909090909   precision 0.651889400921659   recall 0.5935683139534884
deviation 5/5   iterations 1370/2000   F1 0.5979175897208684   accuracy 0.775   precision 0.6417204301075269   recall 0.5876336446325581
deviation 5/5   iterations 1380/2000   F1 0.5705154444409458   accuracy 0.7181818181818181   precision 0.6465130568356374   recall 0.574126921953009
deviation 5/5   iterations 1390/2000   F1 0.5645387171163873   accuracy 0.7056818181818182   precision 0.6476497695852534   recall 0.5723603382236034
deviation 5/5   iterations 1400/2000   F1 0.5790133537887974   accuracy 0.7363636363636363   precision 0.6444854070660522   recall 0.5771535064406691
deviation 5/5   iterations 1410/2000   F1 0.605494704020662   accuracy 0.7715909090909091   precision 0.66036866359447   recall 0.5946310476853464
deviation 5/5   iterations 1420/2000   F1 0.5897435897435898   accuracy 0.75   precision 0.6522273425499232   recall 0.5840542832909245
deviation 5/5   iterations 1430/2000   F1 0.598395026026605   accuracy 0.7704545454545455   precision 0.647373271889401   recall 0.588493126425077
deviation 5/5   iterations 1440/2000   F1 0.5940808559105089   accuracy 0.7602272727272728   precision 0.6498003072196621   recall 0.5860778443113772
deviation 5/5   iterations 1450/2000   F1 0.5809319136465761   accuracy 0.7340909090909091   precision 0.6514285714285715   recall 0.5796073415121034
deviation 5/5   iterations 1460/2000   F1 0.5870519903669075   accuracy 0.759090909090909   precision 0.636804915514593   recall 0.5799111340813001
deviation 5/5   iterations 1470/2000   F1 0.5988639152845472   accuracy 0.7636363636363637   precision 0.6558525345622119   recall 0.5898454933798057
deviation 5/5   iterations 1480/2000   F1 0.5926255763214655   accuracy 0.7465909090909091   precision 0.662642089093702   recall 0.5875539149532958
deviation 5/5   iterations 1490/2000   F1 0.5935301346926319   accuracy 0.7454545454545455   precision 0.6661136712749616   recall 0.5887027449127573
deviation 5/5   iterations 1500/2000   F1 0.5932929621022988   accuracy 0.7568181818181818   precision 0.6519815668202764   recall 0.5859624246721021
deviation 5/5   iterations 1510/2000   F1 0.5979175897208684   accuracy 0.775   precision 0.6417204301075269   recall 0.5876336446325581
deviation 5/5   iterations 1520/2000   F1 0.6119164907342247   accuracy 0.7863636363636364   precision 0.6564055299539171   recall 0.5989889169745285
update
deviation 5/5   iterations 1530/2000   F1 0.5965153599266391   accuracy 0.7681818181818182   precision 0.6460829493087558   recall 0.5871013122898028
deviation 5/5   iterations 1540/2000   F1 0.5879315581654347   accuracy 0.7477272727272727   precision 0.6509370199692781   recall 0.5828605352456638
deviation 5/5   iterations 1550/2000   F1 0.5478777767342677   accuracy 0.6829545454545455   precision 0.6347465437788018   recall 0.5636449118896705
deviation 5/5   iterations 1560/2000   F1 0.5460093365042216   accuracy 0.6738636363636363   precision 0.6419354838709677   recall 0.5655594405594405
deviation 5/5   iterations 1570/2000   F1 0.567270400447708   accuracy 0.7284090909090909   precision 0.6276190476190476   recall 0.5679664389120134
deviation 5/5   iterations 1580/2000   F1 0.6021917808219178   accuracy 0.775   precision 0.6499539170506913   recall 0.5913531723750702
deviation 5/5   iterations 1590/2000   F1 0.6107401283497851   accuracy 0.7875   precision 0.6529339477726575   recall 0.5979643565603452
deviation 5/5   iterations 1600/2000   F1 0.5939158024424225   accuracy 0.7625   precision 0.6469738863287251   recall 0.5855654761904762
deviation 5/5   iterations 1610/2000   F1 0.6105179298118859   accuracy 0.7897727272727273   precision 0.6501075268817205   recall 0.5977544095521623
deviation 5/5   iterations 1620/2000   F1 0.6127267320844483   accuracy 0.7897727272727273   precision 0.6542242703533026   recall 0.5996031746031746
update
deviation 5/5   iterations 1630/2000   F1 0.5670518593154696   accuracy 0.7159090909090909   precision 0.6411059907834101   recall 0.5713912670434409
deviation 5/5   iterations 1640/2000   F1 0.5817550732360693   accuracy 0.7375   precision 0.6492473118279569   recall 0.5794850650540591
deviation 5/5   iterations 1650/2000   F1 0.5934876908343191   accuracy 0.7670454545454546   precision 0.6413210445468509   recall 0.5845588235294117
deviation 5/5   iterations 1660/2000   F1 0.5946477764659582   accuracy 0.7659090909090909   precision 0.6447926267281106   recall 0.5857339319367537
deviation 5/5   iterations 1670/2000   F1 0.608276247055455   accuracy 0.7897727272727273   precision 0.6459907834101383   recall 0.5958806818181819
deviation 5/5   iterations 1680/2000   F1 0.6102604314144032   accuracy 0.7920454545454545   precision 0.6472811059907834   recall 0.5975627625280844
deviation 5/5   iterations 1690/2000   F1 0.6026053397829622   accuracy 0.8147727272727273   precision 0.6149001536098311   recall 0.5946969696969697
deviation 5/5   iterations 1700/2000   F1 0.5968672639656069   accuracy 0.7636363636363637   precision 0.6517357910906298   recall 0.5880461212644129
deviation 5/5   iterations 1710/2000   F1 0.5803242948630604   accuracy 0.7454545454545455   precision 0.6372964669738863   recall 0.5762570728477725
deviation 5/5   iterations 1720/2000   F1 0.6160357435816883   accuracy 0.8011363636363636   precision 0.6483256528417819   recall 0.6027898896307399
update
deviation 5/5   iterations 1730/2000   F1 0.6280973352907158   accuracy 0.8272727272727273   precision 0.6425806451612903   recall 0.6182492687450952
update
deviation 5/5   iterations 1740/2000   F1 0.6031489862397816   accuracy 0.7761363636363636   precision 0.6505990783410138   recall 0.5920846983859818
deviation 5/5   iterations 1750/2000   F1 0.6112583617316673   accuracy 0.7931818181818182   precision 0.647926267281106   recall 0.5984171497248816
deviation 5/5   iterations 1760/2000   F1 0.6167459498218234   accuracy 0.7943181818181818   precision 0.656804915514593   recall 0.6029829545454546
deviation 5/5   iterations 1770/2000   F1 0.605019305019305   accuracy 0.7886363636363637   precision 0.6412288786482335   recall 0.5931509625126646
deviation 5/5   iterations 1780/2000   F1 0.6114527925531915   accuracy 0.8068181818181818   precision 0.6350844854070661   recall 0.5998601004732964
deviation 5/5   iterations 1790/2000   F1 0.5907149803390978   accuracy 0.7375   precision 0.6698310291858679   recall 0.5881737443854634
deviation 5/5   iterations 1800/2000   F1 0.5739300233682255   accuracy 0.725   precision 0.6462672811059907   recall 0.5753900138713824
deviation 5/5   iterations 1810/2000   F1 0.608276247055455   accuracy 0.7897727272727273   precision 0.6459907834101383   recall 0.5958806818181819
deviation 5/5   iterations 1820/2000   F1 0.6135144461523983   accuracy 0.8090909090909091   precision 0.6363748079877112   recall 0.6018876412747087
deviation 5/5   iterations 1830/2000   F1 0.6137257147219359   accuracy 0.7909090909090909   precision 0.6548694316436252   recall 0.6004351325719841
deviation 5/5   iterations 1840/2000   F1 0.59169341894061   accuracy 0.7477272727272727   precision 0.6591705069124424   recall 0.5863966541932644
deviation 5/5   iterations 1850/2000   F1 0.5929909876575838   accuracy 0.7613636363636364   precision 0.6463287250384024   recall 0.5849086202839439
deviation 5/5   iterations 1860/2000   F1 0.6063323649530545   accuracy 0.8068181818181818   precision 0.6268509984639017   recall 0.5957995749459402
deviation 5/5   iterations 1870/2000   F1 0.6236842105263158   accuracy 0.8227272727272728   precision 0.64   recall 0.6132736763609247
deviation 5/5   iterations 1880/2000   F1 0.6101628664495113   accuracy 0.8261363636363637   precision 0.6172350230414747   recall 0.6046052631578948
deviation 5/5   iterations 1890/2000   F1 0.6099362395776233   accuracy 0.8079545454545455   precision 0.6316129032258064   recall 0.598859105006646
deviation 5/5   iterations 1900/2000   F1 0.5967597878173614   accuracy 0.7988636363636363   precision 0.6182181259600614   recall 0.5869360902255639
deviation 5/5   iterations 1910/2000   F1 0.6096342427494121   accuracy 0.7965909090909091   precision 0.6416282642089094   recall 0.5972376902568256
deviation 5/5   iterations 1920/2000   F1 0.612188874301086   accuracy 0.7818181818181819   precision 0.6620583717357911   recall 0.5994599935138886
deviation 5/5   iterations 1930/2000   F1 0.6036914148557295   accuracy 0.7897727272727273   precision 0.6377572964669739   recall 0.5920542635658914
deviation 5/5   iterations 1940/2000   F1 0.5997113906578411   accuracy 0.8022727272727272   precision 0.6201536098310292   recall 0.5897685435966177
deviation 5/5   iterations 1950/2000   F1 0.6078431372549019   accuracy 0.8   precision 0.6353302611367128   recall 0.5960624220378754
deviation 5/5   iterations 1960/2000   F1 0.6113031283472654   accuracy 0.8181818181818182   precision 0.6250691244239631   recall 0.6024398345260742
deviation 5/5   iterations 1970/2000   F1 0.6058419140220028   accuracy 0.7977272727272727   precision 0.6340399385560676   recall 0.5942259349165075
deviation 5/5   iterations 1980/2000   F1 0.6043798623863696   accuracy 0.7988636363636363   precision 0.6305683563748079   recall 0.593139661278446
deviation 5/5   iterations 1990/2000   F1 0.6119295724038807   accuracy 0.8159090909090909   precision 0.6278955453149002   recall 0.6022438133037302
deviation 5/5   iterations 2000/2000   F1 0.6237814942850914   accuracy 0.8284090909090909   precision 0.6349923195084486   recall 0.6156267104542967

