deviation 1/5   iterations 10/2000   F1 0.30295067629757355   accuracy 0.3125   precision 0.5352398889770024   recall 0.5204147554751599
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deviation 1/5   iterations 20/2000   F1 0.15160527275298794   accuracy 0.15568181818181817   precision 0.5004460745440127   recall 0.5010002500625157
deviation 1/5   iterations 30/2000   F1 0.5548875965333895   accuracy 0.7625   precision 0.5780630452022204   recall 0.551063829787234
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deviation 1/5   iterations 40/2000   F1 0.4335632183908046   accuracy 0.4909090909090909   precision 0.5947660586835845   recall 0.5401545698924731
deviation 1/5   iterations 50/2000   F1 0.5075494888045098   accuracy 0.6295454545454545   precision 0.5984337827121332   recall 0.5433633922138038
deviation 1/5   iterations 60/2000   F1 0.506779722023684   accuracy 0.6284090909090909   precision 0.597789452815226   recall 0.5430318594975981
deviation 1/5   iterations 70/2000   F1 0.5377535260405641   accuracy 0.6954545454545454   precision 0.598334655035686   recall 0.5490130685046567
deviation 1/5   iterations 80/2000   F1 0.44551919123951017   accuracy 0.5147727272727273   precision 0.5874801744647106   recall 0.536585049876927
deviation 1/5   iterations 90/2000   F1 0.5057044451619848   accuracy 0.6204545454545455   precision 0.6057692307692308   recall 0.5459280303030303
deviation 1/5   iterations 100/2000   F1 0.44256756756756754   accuracy 0.5022727272727273   precision 0.6053727200634418   recall 0.5444546671127467
deviation 1/5   iterations 110/2000   F1 0.49812898965441343   accuracy 0.6113636363636363   precision 0.5964512291831879   recall 0.5416532888118324
deviation 1/5   iterations 120/2000   F1 0.5129559748427672   accuracy 0.6375   precision 0.6029440919904838   recall 0.5457189396815963
deviation 1/5   iterations 130/2000   F1 0.47069456419147593   accuracy 0.5647727272727273   precision 0.5825237906423473   recall 0.5346198830409357
deviation 1/5   iterations 140/2000   F1 0.512732690160685   accuracy 0.6511363636363636   precision 0.5856958762886597   recall 0.5393153355958411
deviation 1/5   iterations 150/2000   F1 0.5188688138256088   accuracy 0.7034090909090909   precision 0.5528846153846154   recall 0.5284687064348081
deviation 1/5   iterations 160/2000   F1 0.5058990760483297   accuracy 0.6409090909090909   precision 0.5798969072164948   recall 0.5361791902325164
deviation 1/5   iterations 170/2000   F1 0.4416376100002372   accuracy 0.5136363636363637   precision 0.574345757335448   recall 0.531055900621118
deviation 1/5   iterations 180/2000   F1 0.5247202153279502   accuracy 0.7227272727272728   precision 0.5513481363996828   recall 0.5296474358974359
deviation 1/5   iterations 190/2000   F1 0.4908361204013378   accuracy 0.6068181818181818   precision 0.5813838223632039   recall 0.5352088515310061
deviation 1/5   iterations 200/2000   F1 0.4564578850001888   accuracy 0.5352272727272728   precision 0.5865880253766852   recall 0.5360952277646062
deviation 1/5   iterations 210/2000   F1 0.5088012445622425   accuracy 0.6477272727272727   precision 0.579599524187153   recall 0.5364635364635364
deviation 1/5   iterations 220/2000   F1 0.5106227729014798   accuracy 0.6431818181818182   precision 0.5895122918318795   recall 0.5404216746122339
deviation 1/5   iterations 230/2000   F1 0.5549090422685928   accuracy 0.725   precision 0.6067605075337034   recall 0.5573116219667944
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deviation 1/5   iterations 240/2000   F1 0.5319113367122851   accuracy 0.6818181818181818   precision 0.5989294210943695   recall 0.5477066851502187
deviation 1/5   iterations 250/2000   F1 0.5454812674790671   accuracy 0.7204545454545455   precision 0.5916931007137193   recall 0.5494983277591974
deviation 1/5   iterations 260/2000   F1 0.5260809355285428   accuracy 0.6659090909090909   precision 0.6023988897700239   recall 0.5476487003851565
deviation 1/5   iterations 270/2000   F1 0.5417859932309294   accuracy 0.7181818181818181   precision 0.5862410785091197   recall 0.5465551839464883
deviation 1/5   iterations 280/2000   F1 0.5359831587389103   accuracy 0.7011363636363637   precision 0.5890662172878668   recall 0.5455285376775886
deviation 1/5   iterations 290/2000   F1 0.538741737387087   accuracy 0.7079545454545455   precision 0.588768834258525   recall 0.5462817605674748
deviation 1/5   iterations 300/2000   F1 0.530854324936692   accuracy 0.6909090909090909   precision 0.5874306106264869   recall 0.5435781516341807
deviation 1/5   iterations 310/2000   F1 0.5582472083438363   accuracy 0.7352272727272727   precision 0.6042327517842982   recall 0.558110376556898
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deviation 1/5   iterations 320/2000   F1 0.5650630044434207   accuracy 0.7659090909090909   precision 0.5924861221252974   recall 0.5597330260251608
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deviation 1/5   iterations 330/2000   F1 0.5182198944861752   accuracy 0.675   precision 0.5742466296590008   recall 0.5360868203608682
deviation 1/5   iterations 340/2000   F1 0.5296991907161399   accuracy 0.6977272727272728   precision 0.578806502775575   recall 0.5403809523809524
deviation 1/5   iterations 350/2000   F1 0.5462920864342291   accuracy 0.7306818181818182   precision 0.585001982553529   recall 0.5479804161566708
deviation 1/5   iterations 360/2000   F1 0.5549502155408859   accuracy 0.7852272727272728   precision 0.5659694686756542   recall 0.5505166475315729
deviation 1/5   iterations 370/2000   F1 0.5371506714821698   accuracy 0.7272727272727273   precision 0.570578905630452   recall 0.5402214439046436
deviation 1/5   iterations 380/2000   F1 0.5589832112927027   accuracy 0.7545454545454545   precision 0.5902061855670103   recall 0.5555301296720061
deviation 1/5   iterations 390/2000   F1 0.5575528364849833   accuracy 0.7431818181818182   precision 0.5962529738302934   recall 0.5559476822909164
deviation 1/5   iterations 400/2000   F1 0.5339830381207565   accuracy 0.6954545454545454   precision 0.5900079302141158   recall 0.5452653356265111
deviation 1/5   iterations 410/2000   F1 0.5605174552542973   accuracy 0.7534090909090909   precision 0.5937252180808882   recall 0.5570476125830561
deviation 1/5   iterations 420/2000   F1 0.5579908675799087   accuracy 0.75   precision 0.5917922283901665   recall 0.5552571905955365
deviation 1/5   iterations 430/2000   F1 0.5451188893811845   accuracy 0.7454545454545455   precision 0.5725614591593973   recall 0.5443313953488372
deviation 1/5   iterations 440/2000   F1 0.549391001739995   accuracy 0.7659090909090909   precision 0.5675059476605868   recall 0.5459653741014479
deviation 1/5   iterations 450/2000   F1 0.5557238419790483   accuracy 0.7636363636363637   precision 0.5787073750991276   recall 0.5517078571195988
deviation 1/5   iterations 460/2000   F1 0.551569292161793   accuracy 0.7579545454545454   precision 0.5754857256145915   recall 0.5485499565664375
deviation 1/5   iterations 470/2000   F1 0.566680146017127   accuracy 0.7965909090909091   precision 0.5765761300555114   recall 0.5614466815809098
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deviation 1/5   iterations 480/2000   F1 0.5756179699602613   accuracy 0.7965909090909091   precision 0.5890662172878668   recall 0.5689833875565025
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deviation 1/5   iterations 490/2000   F1 0.5585954280158144   accuracy 0.7784090909090909   precision 0.5745935765265662   recall 0.5535706340378198
deviation 1/5   iterations 500/2000   F1 0.5650179883610718   accuracy 0.7795454545454545   precision 0.5835646312450437   recall 0.559118482415232
deviation 1/5   iterations 510/2000   F1 0.5768611627955595   accuracy 0.8170454545454545   precision 0.5798473433782712   recall 0.5743501286474137
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deviation 1/5   iterations 520/2000   F1 0.5613928739812757   accuracy 0.7897727272727273   precision 0.5727101506740682   recall 0.5563153197247575
deviation 1/5   iterations 530/2000   F1 0.5715217086314608   accuracy 0.7988636363636363   precision 0.5820281522601111   recall 0.5658215262242108
deviation 1/5   iterations 540/2000   F1 0.5699756204959672   accuracy 0.7931818181818182   precision 0.58296986518636   recall 0.5638955685331501
deviation 1/5   iterations 550/2000   F1 0.561393419367701   accuracy 0.7784090909090909   precision 0.5787569389373513   recall 0.5559945732131688
deviation 1/5   iterations 560/2000   F1 0.5473586751867863   accuracy 0.7556818181818182   precision 0.570033703409992   recall 0.545043393715283
deviation 1/5   iterations 570/2000   F1 0.5522784092153917   accuracy 0.7625   precision 0.5738996827914353   recall 0.5487609454587077
deviation 1/5   iterations 580/2000   F1 0.5565628263520865   accuracy 0.7647727272727273   precision 0.5793517049960348   recall 0.552358332447613
deviation 1/5   iterations 590/2000   F1 0.5885970744680851   accuracy 0.7954545454545454   precision 0.609238699444885   recall 0.5796703296703296
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deviation 1/5   iterations 600/2000   F1 0.5730878741005457   accuracy 0.7829545454545455   precision 0.5938243457573354   recall 0.5660508204014341
deviation 1/5   iterations 610/2000   F1 0.5739512286274875   accuracy 0.8056818181818182   precision 0.5817307692307692   recall 0.5689734500318934
deviation 1/5   iterations 620/2000   F1 0.5693758619155657   accuracy 0.8   precision 0.5785091197462331   recall 0.5641711229946524
deviation 1/5   iterations 630/2000   F1 0.5711933326612225   accuracy 0.8022727272727272   precision 0.5797977795400475   recall 0.5660512820512821
deviation 1/5   iterations 640/2000   F1 0.5839172817590084   accuracy 0.8102272727272727   precision 0.5926348136399683   recall 0.5781754870282649
deviation 1/5   iterations 650/2000   F1 0.5934389714813716   accuracy 0.8284090909090909   precision 0.5946173671689136   recall 0.5923214566381738
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deviation 1/5   iterations 660/2000   F1 0.5757931079408507   accuracy 0.7897727272727273   precision 0.5935269627279937   recall 0.5685689368544409
deviation 1/5   iterations 670/2000   F1 0.5928533235813171   accuracy 0.8102272727272727   precision 0.6051249008723236   recall 0.5853942084125977
deviation 1/5   iterations 680/2000   F1 0.5770550688465982   accuracy 0.8056818181818182   precision 0.5858941316415543   recall 0.5715531745785981
deviation 1/5   iterations 690/2000   F1 0.5848820687695369   accuracy 0.8113636363636364   precision 0.5932791435368755   recall 0.5792387688939413
deviation 1/5   iterations 700/2000   F1 0.5618385834027932   accuracy 0.7943181818181818   precision 0.5711241078509119   recall 0.5570718369376088
deviation 1/5   iterations 710/2000   F1 0.5934136151388547   accuracy 0.8397727272727272   precision 0.5885705789056305   recall 0.5995557041184417
deviation 1/5   iterations 720/2000   F1 0.5837131220362058   accuracy 0.8136363636363636   precision 0.5904044409199048   recall 0.5788961460270773
deviation 1/5   iterations 730/2000   F1 0.5840562302593532   accuracy 0.8068181818181818   precision 0.5948651863600317   recall 0.5775401069518716
deviation 1/5   iterations 740/2000   F1 0.5776902276208293   accuracy 0.8102272727272727   precision 0.584308088818398   recall 0.5730740728807553
deviation 1/5   iterations 750/2000   F1 0.5634920634920635   accuracy 0.7886363636363637   precision 0.576229183187946   recall 0.5580464975845411
deviation 1/5   iterations 760/2000   F1 0.5812048338601283   accuracy 0.803409090909091   precision 0.5929321966693101   recall 0.5745712155108128
deviation 1/5   iterations 770/2000   F1 0.5671616201646472   accuracy 0.8011363636363636   precision 0.5749900872323552   recall 0.5624696786713322
deviation 1/5   iterations 780/2000   F1 0.5721083445056228   accuracy 0.803409090909091   precision 0.5804421094369547   recall 0.5670114266249652
deviation 1/5   iterations 790/2000   F1 0.5802631578947368   accuracy 0.8022727272727272   precision 0.5922878667724029   recall 0.5736084756483238
deviation 1/5   iterations 800/2000   F1 0.5607517420186594   accuracy 0.8011363636363636   precision 0.5666633624107851   recall 0.5570066225165563
deviation 1/5   iterations 810/2000   F1 0.5712339278368261   accuracy 0.8102272727272727   precision 0.5759813639968279   recall 0.5677127618458684
deviation 1/5   iterations 820/2000   F1 0.5749818884327458   accuracy 0.8272727272727273   precision 0.5731562252180809   recall 0.5770395114567566
deviation 1/5   iterations 830/2000   F1 0.5730631584253238   accuracy 0.825   precision 0.5718675654242664   recall 0.5743589743589743
deviation 1/5   iterations 840/2000   F1 0.5684831143058232   accuracy 0.8068181818181818   precision 0.5740483743061062   recall 0.5646221722392837
deviation 1/5   iterations 850/2000   F1 0.5778161581270389   accuracy 0.8181818181818182   precision 0.5804916732751785   recall 0.5755208333333333
deviation 1/5   iterations 860/2000   F1 0.5840746594415595   accuracy 0.821590909090909   precision 0.5865880253766852   recall 0.581866001241814
deviation 1/5   iterations 870/2000   F1 0.580574232005999   accuracy 0.8295454545454546   precision 0.5786082474226804   recall 0.5827809384623415
deviation 1/5   iterations 880/2000   F1 0.5892338051564678   accuracy 0.8352272727272727   precision 0.5859932593180016   recall 0.5930606771706336
deviation 1/5   iterations 890/2000   F1 0.5845781761274719   accuracy 0.8340909090909091   precision 0.5811855670103092   recall 0.5886795517297385
deviation 1/5   iterations 900/2000   F1 0.577314635832191   accuracy 0.8136363636363636   precision 0.5820777160983346   recall 0.5736687575070065
deviation 1/5   iterations 910/2000   F1 0.5933568748620615   accuracy 0.8477272727272728   precision 0.5847541633624108   recall 0.606875
deviation 1/5   iterations 920/2000   F1 0.5792207792207792   accuracy 0.8159090909090909   precision 0.583366375892149   recall 0.5759162303664922
deviation 1/5   iterations 930/2000   F1 0.5983183183183183   accuracy 0.8488636363636364   precision 0.5895618556701031   recall 0.6116828133932848
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deviation 1/5   iterations 940/2000   F1 0.5921249506176296   accuracy 0.8306818181818182   precision 0.5917426645519429   recall 0.5925141507665779
deviation 1/5   iterations 950/2000   F1 0.5840746594415595   accuracy 0.821590909090909   precision 0.5865880253766852   recall 0.581866001241814
deviation 1/5   iterations 960/2000   F1 0.5882051282051282   accuracy 0.8340909090909091   precision 0.5853489294210944   recall 0.5915178571428572
deviation 1/5   iterations 970/2000   F1 0.5816878747988884   accuracy 0.8227272727272728   precision 0.5830689928628073   recall 0.5804068317021684
deviation 1/5   iterations 980/2000   F1 0.5849277210884354   accuracy 0.8386363636363636   precision 0.579599524187153   recall 0.5921717171717172
deviation 1/5   iterations 990/2000   F1 0.5880540571963567   accuracy 0.8261363636363637   precision 0.589165344964314   recall 0.5870017289115111
deviation 1/5   iterations 1000/2000   F1 0.5922779922779924   accuracy 0.8465909090909091   precision 0.5841098334655036   recall 0.6048841916593273
deviation 1/5   iterations 1010/2000   F1 0.581146848487012   accuracy 0.8181818181818182   precision 0.5846550356859634   recall 0.5782373688791169
deviation 1/5   iterations 1020/2000   F1 0.5896970613438177   accuracy 0.8318181818181818   precision 0.588223632038065   recall 0.5912820512820514
deviation 1/5   iterations 1030/2000   F1 0.5913104760791268   accuracy 0.8375   precision 0.587281919111816   recall 0.5962413411485019
deviation 1/5   iterations 1040/2000   F1 0.5841524270376531   accuracy 0.8295454545454546   precision 0.5827716098334655   recall 0.5856410256410256
deviation 1/5   iterations 1050/2000   F1 0.5753707766963774   accuracy 0.8193181818181818   precision 0.5769726407613006   recall 0.5739180618522353
deviation 1/5   iterations 1060/2000   F1 0.5882051282051282   accuracy 0.8340909090909091   precision 0.5853489294210944   recall 0.5915178571428572
deviation 1/5   iterations 1070/2000   F1 0.5902688860435339   accuracy 0.8363636363636363   precision 0.5866375892149088   recall 0.5946348329814304
deviation 1/5   iterations 1080/2000   F1 0.5821619122589996   accuracy 0.8272727272727273   precision 0.5814829500396511   recall 0.5828670799939513
deviation 1/5   iterations 1090/2000   F1 0.5876464323748668   accuracy 0.8375   precision 0.5831185567010309   recall 0.5934274850624661
deviation 1/5   iterations 1100/2000   F1 0.5950408748849548   accuracy 0.8454545454545455   precision 0.5876288659793815   recall 0.6057669298875329
deviation 1/5   iterations 1110/2000   F1 0.5869929601072745   accuracy 0.8409090909090909   precision 0.5808881839809674   recall 0.595600726378068
deviation 1/5   iterations 1120/2000   F1 0.5977028754100221   accuracy 0.8443181818181819   precision 0.5911478984932593   recall 0.6066226029482107
deviation 1/5   iterations 1130/2000   F1 0.5861665755792524   accuracy 0.8318181818181818   precision 0.58406026962728   recall 0.5885223654679264
deviation 1/5   iterations 1140/2000   F1 0.5866172555978914   accuracy 0.8363636363636363   precision 0.5824742268041236   recall 0.5918119620392849
deviation 1/5   iterations 1150/2000   F1 0.5938461538461538   accuracy 0.8363636363636363   precision 0.5908009516256939   recall 0.5973639455782312
deviation 1/5   iterations 1160/2000   F1 0.5866172555978914   accuracy 0.8363636363636363   precision 0.5824742268041236   recall 0.5918119620392849
deviation 1/5   iterations 1170/2000   F1 0.5913104760791268   accuracy 0.8375   precision 0.587281919111816   recall 0.5962413411485019
deviation 1/5   iterations 1180/2000   F1 0.5939633368022929   accuracy 0.8443181818181819   precision 0.5869845360824743   recall 0.6038845726970034
deviation 1/5   iterations 1190/2000   F1 0.5948478002505434   accuracy 0.8534090909090909   precision 0.5838124504361618   recall 0.6148172667243809
deviation 1/5   iterations 1200/2000   F1 0.580574232005999   accuracy 0.8295454545454546   precision 0.5786082474226804   recall 0.5827809384623415
deviation 1/5   iterations 1210/2000   F1 0.5902688860435339   accuracy 0.8363636363636363   precision 0.5866375892149088   recall 0.5946348329814304
deviation 1/5   iterations 1220/2000   F1 0.5922779922779924   accuracy 0.8465909090909091   precision 0.5841098334655036   recall 0.6048841916593273
deviation 1/5   iterations 1230/2000   F1 0.5897245983381334   accuracy 0.8397727272727272   precision 0.5844072164948453   recall 0.5967627381070754
deviation 1/5   iterations 1240/2000   F1 0.5994261752372545   accuracy 0.85   precision 0.5902061855670103   recall 0.61375
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deviation 1/5   iterations 1250/2000   F1 0.5915611814345991   accuracy 0.85   precision 0.5818794607454402   recall 0.6081434930610108
deviation 1/5   iterations 1260/2000   F1 0.5801973401973402   accuracy 0.8420454545454545   precision 0.5732057890563045   recall 0.5912869481914121
deviation 1/5   iterations 1270/2000   F1 0.5845781761274719   accuracy 0.8340909090909091   precision 0.5811855670103092   recall 0.5886795517297385
deviation 1/5   iterations 1280/2000   F1 0.585594538681632   accuracy 0.8352272727272727   precision 0.5818298969072164   recall 0.5902296730472325
deviation 1/5   iterations 1290/2000   F1 0.598100109609061   accuracy 0.8409090909090909   precision 0.5933782712133228   recall 0.6039505627896712
deviation 1/5   iterations 1300/2000   F1 0.5929353744841578   accuracy 0.8556818181818182   precision 0.580937747819191   recall 0.6167283189478011
deviation 1/5   iterations 1310/2000   F1 0.5795874049945711   accuracy 0.8125   precision 0.5855967486122124   recall 0.5752185890525812
deviation 1/5   iterations 1320/2000   F1 0.5876101646233617   accuracy 0.8590909090909091   precision 0.5745440126883425   recall 0.618621342377159
deviation 1/5   iterations 1330/2000   F1 0.5811752848623981   accuracy 0.8261363636363637   precision 0.5808386201427439   recall 0.581518411615499
deviation 1/5   iterations 1340/2000   F1 0.5912065691136889   accuracy 0.8454545454545455   precision 0.5834655035685964   recall 0.602940277523076
deviation 1/5   iterations 1350/2000   F1 0.5841591563516697   accuracy 0.8420454545454545   precision 0.5773691514670897   recall 0.5943901074813683
deviation 1/5   iterations 1360/2000   F1 0.5961257993343555   accuracy 0.8465909090909091   precision 0.5882731958762887   recall 0.6076930053967438
deviation 1/5   iterations 1370/2000   F1 0.5902688860435339   accuracy 0.8363636363636363   precision 0.5866375892149088   recall 0.5946348329814304
deviation 1/5   iterations 1380/2000   F1 0.6022727272727273   accuracy 0.8568181818181818   precision 0.5899088025376685   recall 0.6247249724972497
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deviation 1/5   iterations 1390/2000   F1 0.5972182372149581   accuracy 0.8477272727272728   precision 0.5889175257731959   recall 0.6096644049147258
deviation 1/5   iterations 1400/2000   F1 0.5831303123815712   accuracy 0.8409090909090909   precision 0.5767248215701825   recall 0.5926058865757358
deviation 1/5   iterations 1410/2000   F1 0.5854531750518184   accuracy 0.8522727272727273   precision 0.5748413957176843   recall 0.6065255731922399
deviation 1/5   iterations 1420/2000   F1 0.5922779922779924   accuracy 0.8465909090909091   precision 0.5841098334655036   recall 0.6048841916593273
deviation 1/5   iterations 1430/2000   F1 0.5904814222583005   accuracy 0.8488636363636364   precision 0.581235130848533   recall 0.6060309553460239
deviation 1/5   iterations 1440/2000   F1 0.5983183183183183   accuracy 0.8488636363636364   precision 0.5895618556701031   recall 0.6116828133932848
deviation 1/5   iterations 1450/2000   F1 0.5845781761274719   accuracy 0.8340909090909091   precision 0.5811855670103092   recall 0.5886795517297385
deviation 1/5   iterations 1460/2000   F1 0.5912065691136889   accuracy 0.8454545454545455   precision 0.5834655035685964   recall 0.602940277523076
deviation 1/5   iterations 1470/2000   F1 0.5934136151388547   accuracy 0.8397727272727272   precision 0.5885705789056305   recall 0.5995557041184417
deviation 1/5   iterations 1480/2000   F1 0.5972182372149581   accuracy 0.8477272727272728   precision 0.5889175257731959   recall 0.6096644049147258
deviation 1/5   iterations 1490/2000   F1 0.5825641025641026   accuracy 0.8318181818181818   precision 0.5798969072164948   recall 0.5856717687074829
deviation 1/5   iterations 1500/2000   F1 0.59264873727469   accuracy 0.8511363636363637   precision 0.5825237906423474   recall 0.6103105590062112
deviation 1/5   iterations 1510/2000   F1 0.5828889678871905   accuracy 0.8363636363636363   precision 0.5783108643933386   recall 0.5888888888888889
deviation 1/5   iterations 1520/2000   F1 0.5918308185125596   accuracy 0.8545454545454545   precision 0.5802934179222838   recall 0.6142857142857143
deviation 1/5   iterations 1530/2000   F1 0.5841591563516697   accuracy 0.8420454545454545   precision 0.5773691514670897   recall 0.5943901074813683
deviation 1/5   iterations 1540/2000   F1 0.5977496483825597   accuracy 0.8522727272727273   precision 0.5873314829500397   recall 0.6153443309766955
deviation 1/5   iterations 1550/2000   F1 0.5999943181011094   accuracy 0.8545454545454545   precision 0.5886201427438541   recall 0.6199114747501844
deviation 1/5   iterations 1560/2000   F1 0.588682176666535   accuracy 0.8386363636363636   precision 0.5837628865979381   recall 0.5950773558368495
deviation 1/5   iterations 1570/2000   F1 0.6004920625622401   accuracy 0.8590909090909091   precision 0.5870340999206979   recall 0.6272095044914517
deviation 1/5   iterations 1580/2000   F1 0.6032299053162274   accuracy 0.85   precision 0.5943695479777954   recall 0.6163885323063757
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deviation 1/5   iterations 1590/2000   F1 0.5845781761274719   accuracy 0.8340909090909091   precision 0.5811855670103092   recall 0.5886795517297385
deviation 1/5   iterations 1600/2000   F1 0.5944753854458795   accuracy 0.8409090909090909   precision 0.5892149088025377   recall 0.6012658227848101
deviation 1/5   iterations 1610/2000   F1 0.5923586826034761   accuracy 0.8386363636363636   precision 0.5879262490087233   recall 0.597881262414478
deviation 1/5   iterations 1620/2000   F1 0.5915611814345991   accuracy 0.85   precision 0.5818794607454402   recall 0.6081434930610108
deviation 1/5   iterations 1630/2000   F1 0.5843893645786391   accuracy 0.8511363636363637   precision 0.5741970658207771   recall 0.6042497257960618
deviation 1/5   iterations 1640/2000   F1 0.5874941405417691   accuracy 0.85   precision 0.577716098334655   recall 0.605157266447589
deviation 1/5   iterations 1650/2000   F1 0.5780855798512718   accuracy 0.8352272727272727   precision 0.5735031720856463   recall 0.5842625605477351
deviation 1/5   iterations 1660/2000   F1 0.575148973736482   accuracy 0.8409090909090909   precision 0.5683980967486122   recall 0.5862499999999999
deviation 1/5   iterations 1670/2000   F1 0.5791842475386779   accuracy 0.8454545454545455   precision 0.570975416336241   recall 0.5937418172296413
deviation 1/5   iterations 1680/2000   F1 0.5872875744868682   accuracy 0.8454545454545455   precision 0.5793021411578113   recall 0.6
deviation 1/5   iterations 1690/2000   F1 0.5729957805907173   accuracy 0.8431818181818181   precision 0.5655233941316415   recall 0.5865409793139565
deviation 1/5   iterations 1700/2000   F1 0.5791832329111504   accuracy 0.8409090909090909   precision 0.5725614591593973   recall 0.5894920227397763
deviation 1/5   iterations 1710/2000   F1 0.5932240258857439   accuracy 0.8647727272727272   precision 0.5777656621728787   recall 0.633785252925753
deviation 1/5   iterations 1720/2000   F1 0.6034249662009914   accuracy 0.8579545454545454   precision 0.5905531324345757   recall 0.6272306272741517
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deviation 1/5   iterations 1730/2000   F1 0.598588178990189   accuracy 0.8613636363636363   precision 0.5841593973037271   recall 0.6300551470588236
deviation 1/5   iterations 1740/2000   F1 0.5982084619733009   accuracy 0.8568181818181818   precision 0.5857454401268835   recall 0.6220458553791888
deviation 1/5   iterations 1750/2000   F1 0.5849277210884354   accuracy 0.8386363636363636   precision 0.579599524187153   recall 0.5921717171717172
deviation 1/5   iterations 1760/2000   F1 0.5897891231964484   accuracy 0.8568181818181818   precision 0.5774187153053132   recall 0.6162981162981163
deviation 1/5   iterations 1770/2000   F1 0.5822461545924855   accuracy 0.8443181818181819   precision 0.5744944488501189   recall 0.5950078225003556
deviation 1/5   iterations 1780/2000   F1 0.5864296340269753   accuracy 0.8488636363636364   precision 0.5770717684377478   recall 0.6030227743271221
deviation 1/5   iterations 1790/2000   F1 0.5920076573342905   accuracy 0.8590909090909091   precision 0.5787073750991276   recall 0.6216299019607843
deviation 1/5   iterations 1800/2000   F1 0.5862376662376663   accuracy 0.8443181818181819   precision 0.5786578112609041   recall 0.5980855699253697
deviation 1/5   iterations 1810/2000   F1 0.5678801378069523   accuracy 0.8579545454545454   precision 0.557246233148295   recall 0.6018181818181818
deviation 1/5   iterations 1820/2000   F1 0.5786077927314885   accuracy 0.8272727272727273   precision 0.5773195876288659   recall 0.5800000000000001
deviation 1/5   iterations 1830/2000   F1 0.586514353590371   accuracy 0.8579545454545454   precision 0.5738996827914353   recall 0.6158710730314157
deviation 1/5   iterations 1840/2000   F1 0.59264873727469   accuracy 0.8511363636363637   precision 0.5825237906423474   recall 0.6103105590062112
deviation 1/5   iterations 1850/2000   F1 0.5757381706836843   accuracy 0.8511363636363637   precision 0.565870340999207   recall 0.5975932147381176
deviation 1/5   iterations 1860/2000   F1 0.5923586826034761   accuracy 0.8386363636363636   precision 0.5879262490087233   recall 0.597881262414478
deviation 1/5   iterations 1870/2000   F1 0.5959595959595959   accuracy 0.8545454545454545   precision 0.584456780333069   recall 0.6171617161716172
deviation 1/5   iterations 1880/2000   F1 0.596293237911735   accuracy 0.8352272727272727   precision 0.5943199841395718   recall 0.598449281547873
deviation 1/5   iterations 1890/2000   F1 0.5811610333313808   accuracy 0.8522727272727273   precision 0.5706780333068993   recall 0.6033033903216459
deviation 1/5   iterations 1900/2000   F1 0.5896464646464646   accuracy 0.8522727272727273   precision 0.5790047581284694   recall 0.6095984598459846
deviation 1/5   iterations 1910/2000   F1 0.5865249079406012   accuracy 0.8534090909090909   precision 0.5754857256145915   recall 0.6088654193248628
deviation 1/5   iterations 1920/2000   F1 0.598588178990189   accuracy 0.8613636363636363   precision 0.5841593973037271   recall 0.6300551470588236
deviation 1/5   iterations 1930/2000   F1 0.5955375423056031   accuracy 0.85   precision 0.5860428231562252   recall 0.6110045399322207
deviation 1/5   iterations 1940/2000   F1 0.6051687006460875   accuracy 0.8636363636363636   precision 0.5896114195083267   recall 0.6384803921568627
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deviation 1/5   iterations 1950/2000   F1 0.5902688860435339   accuracy 0.8363636363636363   precision 0.5866375892149088   recall 0.5946348329814304
deviation 1/5   iterations 1960/2000   F1 0.5937442293214392   accuracy 0.8522727272727273   precision 0.5831681205392546   recall 0.6125343705988867
deviation 1/5   iterations 1970/2000   F1 0.6087774294670846   accuracy 0.8670454545454546   precision 0.5915444091990484   recall 0.6478812626353609
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deviation 1/5   iterations 1980/2000   F1 0.6046932618169628   accuracy 0.8477272727272728   precision 0.597244250594766   recall 0.6149317556089274
deviation 1/5   iterations 1990/2000   F1 0.6129774349605872   accuracy 0.8670454545454546   precision 0.5957077716098335   recall 0.6500650851936042
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deviation 1/5   iterations 2000/2000   F1 0.5977496483825597   accuracy 0.8522727272727273   precision 0.5873314829500397   recall 0.6153443309766955

deviation 2/5   iterations 10/2000   F1 0.13013014447039029   accuracy 0.1375   precision 0.49385560675883255   recall 0.47566199376947044
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deviation 2/5   iterations 20/2000   F1 0.14676330521487324   accuracy 0.15113636363636362   precision 0.489247311827957   recall 0.4751392203659507
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deviation 2/5   iterations 30/2000   F1 0.5831041017177089   accuracy 0.8590909090909091   precision 0.5700768049155146   recall 0.617725386568674
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deviation 2/5   iterations 40/2000   F1 0.12650649492754756   accuracy 0.1340909090909091   precision 0.4878033794162826   recall 0.449647405002283
deviation 2/5   iterations 50/2000   F1 0.44612716779656375   accuracy 0.5034090909090909   precision 0.6151459293394776   recall 0.5490843181627693
deviation 2/5   iterations 60/2000   F1 0.3269412729451839   accuracy 0.3386363636363636   precision 0.5668817204301075   recall 0.5373697979250064
deviation 2/5   iterations 70/2000   F1 0.28611387651846826   accuracy 0.2897727272727273   precision 0.5597235023041475   recall 0.5406300160513644
deviation 2/5   iterations 80/2000   F1 0.5130208333333334   accuracy 0.6136363636363636   precision 0.6365591397849462   recall 0.5586798679867987
deviation 2/5   iterations 90/2000   F1 0.46645946645946645   accuracy 0.5318181818181819   precision 0.6312749615975422   recall 0.5553867610993877
deviation 2/5   iterations 100/2000   F1 0.5349128857437184   accuracy 0.6647727272727273   precision 0.6244239631336406   recall 0.5573005093378608
deviation 2/5   iterations 110/2000   F1 0.5087280522662312   accuracy 0.6022727272727273   precision 0.6424577572964669   recall 0.5606305472308956
deviation 2/5   iterations 120/2000   F1 0.48973891924711593   accuracy 0.5659090909090909   precision 0.6465130568356374   recall 0.561591114555082
deviation 2/5   iterations 130/2000   F1 0.5274739607594701   accuracy 0.6397727272727273   precision 0.6390476190476191   recall 0.5612402849039857
deviation 2/5   iterations 140/2000   F1 0.56   accuracy 0.6909090909090909   precision 0.6557296466973886   recall 0.5734318412284514
deviation 2/5   iterations 150/2000   F1 0.5772065556252168   accuracy 0.7465909090909091   precision 0.6297081413210446   recall 0.5731381135840794
deviation 2/5   iterations 160/2000   F1 0.5209059233449478   accuracy 0.6363636363636364   precision 0.6247619047619049   recall 0.5551194140864646
deviation 2/5   iterations 170/2000   F1 0.5016062243514753   accuracy 0.5840909090909091   precision 0.6527188940092166   recall 0.564367512469506
deviation 2/5   iterations 180/2000   F1 0.5731133696666175   accuracy 0.7193181818181819   precision 0.6512749615975422   recall 0.5763647642679901
deviation 2/5   iterations 190/2000   F1 0.48642275226920106   accuracy 0.5806818181818182   precision 0.6054992319508448   recall 0.5447517671344273
deviation 2/5   iterations 200/2000   F1 0.545424570813092   accuracy 0.6795454545454546   precision 0.632811059907834   recall 0.5624166190203926
deviation 2/5   iterations 210/2000   F1 0.5503591716509874   accuracy 0.6909090909090909   precision 0.6310291858678956   recall 0.5631100141461134
deviation 2/5   iterations 220/2000   F1 0.5229352916134525   accuracy 0.6295454545454545   precision 0.6414746543778802   recall 0.5615513342137202
deviation 2/5   iterations 230/2000   F1 0.5405882352941176   accuracy 0.6772727272727272   precision 0.6232872503840245   recall 0.5581341445748225
deviation 2/5   iterations 240/2000   F1 0.5446482681694724   accuracy 0.7079545454545455   precision 0.5995391705069124   recall 0.5516792568395263
deviation 2/5   iterations 250/2000   F1 0.541030264094115   accuracy 0.6568181818181819   precision 0.65284178187404   recall 0.5682812611514623
deviation 2/5   iterations 260/2000   F1 0.5679052515129823   accuracy 0.7170454545454545   precision 0.6417511520737327   recall 0.5718799072758544
deviation 2/5   iterations 270/2000   F1 0.5748429817830449   accuracy 0.7488636363636364   precision 0.6227649769585253   recall 0.5705428765111287
deviation 2/5   iterations 280/2000   F1 0.5494471820464066   accuracy 0.6943181818181818   precision 0.624731182795699   recall 0.5608863614550341
deviation 2/5   iterations 290/2000   F1 0.5490951314976845   accuracy 0.7011363636363637   precision 0.6162519201228879   recall 0.5581709956709957
deviation 2/5   iterations 300/2000   F1 0.558545595955668   accuracy 0.7068181818181818   precision 0.6318279569892473   recall 0.5658229789845068
deviation 2/5   iterations 310/2000   F1 0.5861764508296625   accuracy 0.7772727272727272   precision 0.6183102918586789   recall 0.5773721982464177
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deviation 2/5   iterations 320/2000   F1 0.5715676728334955   accuracy 0.7340909090909091   precision 0.6308448540706606   recall 0.5706297138990786
deviation 2/5   iterations 330/2000   F1 0.5471595171520153   accuracy 0.7170454545454545   precision 0.5964669738863287   recall 0.551650173702495
deviation 2/5   iterations 340/2000   F1 0.5694971537001897   accuracy 0.775   precision 0.5923195084485408   recall 0.5630926086116687
deviation 2/5   iterations 350/2000   F1 0.5525240658589189   accuracy 0.7034090909090909   precision 0.6216589861751152   recall 0.5608766233766234
deviation 2/5   iterations 360/2000   F1 0.5754385964912281   accuracy 0.8   precision 0.5859293394777265   recall 0.5695252299279145
deviation 2/5   iterations 370/2000   F1 0.537932553058148   accuracy 0.6829545454545455   precision 0.6100460829493087   recall 0.5531025403828363
deviation 2/5   iterations 380/2000   F1 0.600488333854756   accuracy 0.7806818181818181   precision 0.6408294930875575   recall 0.5894865067466267
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deviation 2/5   iterations 390/2000   F1 0.5730933977841057   accuracy 0.7465909090909091   precision 0.6214746543778802   recall 0.5693567399174876
deviation 2/5   iterations 400/2000   F1 0.5734146861689408   accuracy 0.7443181818181818   precision 0.6243010752688172   recall 0.5700892485933646
deviation 2/5   iterations 410/2000   F1 0.5894648449368527   accuracy 0.7784090909090909   precision 0.6230721966205838   recall 0.5801482121706841
deviation 2/5   iterations 420/2000   F1 0.571233677645683   accuracy 0.7613636363636364   precision 0.6051612903225807   recall 0.5655250040199389
deviation 2/5   iterations 430/2000   F1 0.5684350444590903   accuracy 0.7488636363636364   precision 0.6104147465437788   recall 0.5647129152141972
deviation 2/5   iterations 440/2000   F1 0.5692646390198377   accuracy 0.7443181818181818   precision 0.6160675883256529   recall 0.566269540568606
deviation 2/5   iterations 450/2000   F1 0.5960779717957733   accuracy 0.7863636363636364   precision 0.6275883256528418   recall 0.5856366350761719
deviation 2/5   iterations 460/2000   F1 0.6088098605778945   accuracy 0.8125   precision 0.6259600614439325   recall 0.5989382239382239
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deviation 2/5   iterations 470/2000   F1 0.5978860788868661   accuracy 0.7829545454545455   precision 0.6338863287250385   recall 0.5871906911232754
deviation 2/5   iterations 480/2000   F1 0.587950678944904   accuracy 0.7681818181818182   precision 0.6296159754224271   recall 0.5795491398360372
deviation 2/5   iterations 490/2000   F1 0.5965493570315152   accuracy 0.7897727272727273   precision 0.6254070660522273   recall 0.5861007053423779
deviation 2/5   iterations 500/2000   F1 0.5825426944971537   accuracy 0.7818181818181819   precision 0.6085407066052227   recall 0.5741784313560816
deviation 2/5   iterations 510/2000   F1 0.5840259308510638   accuracy 0.7931818181818182   precision 0.602642089093702   recall 0.5758773244669737
deviation 2/5   iterations 520/2000   F1 0.5804442895553958   accuracy 0.7761363636363636   precision 0.609431643625192   recall 0.5724903129171958
deviation 2/5   iterations 530/2000   F1 0.6000414630062274   accuracy 0.8056818181818182   precision 0.6179723502304147   recall 0.5905797101449275
deviation 2/5   iterations 540/2000   F1 0.5944741532976827   accuracy 0.7931818181818182   precision 0.6191090629800308   recall 0.5845480159457078
deviation 2/5   iterations 550/2000   F1 0.59085690428974   accuracy 0.7772727272727272   precision 0.6265437788018433   recall 0.581390937329571
deviation 2/5   iterations 560/2000   F1 0.5885970744680851   accuracy 0.7954545454545454   precision 0.6080491551459294   recall 0.5798744538013608
deviation 2/5   iterations 570/2000   F1 0.5657413563829787   accuracy 0.7840909090909091   precision 0.5810138248847927   recall 0.5598888071294252
deviation 2/5   iterations 580/2000   F1 0.5816718357701964   accuracy 0.7659090909090909   precision 0.6200921658986175   recall 0.5742596828243376
deviation 2/5   iterations 590/2000   F1 0.5800149142431021   accuracy 0.7818181818181819   precision 0.6044239631336406   recall 0.5720279720279721
deviation 2/5   iterations 600/2000   F1 0.5839172817590084   accuracy 0.8102272727272727   precision 0.5917357910906298   recall 0.5785756389204665
deviation 2/5   iterations 610/2000   F1 0.5852542279618461   accuracy 0.7761363636363636   precision 0.6176651305683564   recall 0.5766269726943885
deviation 2/5   iterations 620/2000   F1 0.5819537615524141   accuracy 0.775   precision 0.6129032258064516   recall 0.5738361019360128
deviation 2/5   iterations 630/2000   F1 0.5850596026490067   accuracy 0.7977272727272727   precision 0.6011059907834102   recall 0.5771991555242787
deviation 2/5   iterations 640/2000   F1 0.5878068291861395   accuracy 0.7977272727272727   precision 0.6052227342549923   recall 0.5794656198086329
deviation 2/5   iterations 650/2000   F1 0.590887959088796   accuracy 0.8079545454545455   precision 0.6027956989247312   recall 0.5836801248449441
deviation 2/5   iterations 660/2000   F1 0.5857587862917644   accuracy 0.7920454545454545   precision 0.6061136712749616   recall 0.5772333726879182
deviation 2/5   iterations 670/2000   F1 0.588030888030888   accuracy 0.7795454545454545   precision 0.6196006144393241   recall 0.5788855116514691
deviation 2/5   iterations 680/2000   F1 0.5820017931875736   accuracy 0.8079545454545455   precision 0.5904454685099847   recall 0.5764627659574468
deviation 2/5   iterations 690/2000   F1 0.5928533235813171   accuracy 0.8102272727272727   precision 0.6040860215053764   recall 0.5857843137254901
deviation 2/5   iterations 700/2000   F1 0.5785040782090589   accuracy 0.7647727272727273   precision 0.6153302611367127   recall 0.5715865751334859
deviation 2/5   iterations 710/2000   F1 0.5868555436946423   accuracy 0.7965909090909091   precision 0.6045775729646697   recall 0.5785519125683061
deviation 2/5   iterations 720/2000   F1 0.5821591882657748   accuracy 0.7909090909090909   precision 0.6013517665130569   recall 0.5741474948530535
deviation 2/5   iterations 730/2000   F1 0.5882956785581265   accuracy 0.7659090909090909   precision 0.6324423963133641   recall 0.5800997391323736
deviation 2/5   iterations 740/2000   F1 0.5860547601539858   accuracy 0.8022727272727272   precision 0.5995698924731183   recall 0.5786658122894397
deviation 2/5   iterations 750/2000   F1 0.5916538658474143   accuracy 0.8022727272727272   precision 0.6078033794162827   recall 0.5832376578645235
deviation 2/5   iterations 760/2000   F1 0.5938833348905291   accuracy 0.8147727272727273   precision 0.6025499231950845   recall 0.5878384068039241
deviation 2/5   iterations 770/2000   F1 0.5858516424747362   accuracy 0.8125   precision 0.593026113671275   recall 0.5807518347840929
deviation 2/5   iterations 780/2000   F1 0.5733492911780269   accuracy 0.8011363636363636   precision 0.582457757296467   recall 0.5679590017825312
deviation 2/5   iterations 790/2000   F1 0.5834399136772718   accuracy 0.8170454545454545   precision 0.5873732718894009   recall 0.5802265751940784
deviation 2/5   iterations 800/2000   F1 0.5969034858687188   accuracy 0.8181818181818182   precision 0.6044854070660522   recall 0.5913157414268991
deviation 2/5   iterations 810/2000   F1 0.5948132390504143   accuracy 0.7965909090909091   precision 0.6169278033794163   recall 0.5851042896497443
deviation 2/5   iterations 820/2000   F1 0.6020895060626613   accuracy 0.8272727272727273   precision 0.6055299539170507   recall 0.5990815843823194
deviation 2/5   iterations 830/2000   F1 0.588941184826226   accuracy 0.8056818181818182   precision 0.601505376344086   recall 0.581633459835547
deviation 2/5   iterations 840/2000   F1 0.5941371897596248   accuracy 0.7988636363636363   precision 0.6141013824884793   recall 0.5847945205479452
deviation 2/5   iterations 850/2000   F1 0.5947368421052632   accuracy 0.8090909090909091   precision 0.6075576036866359   recall 0.5870246085011186
deviation 2/5   iterations 860/2000   F1 0.5767486601621546   accuracy 0.8090909090909091   precision 0.5828571428571429   recall 0.5724135708992493
deviation 2/5   iterations 870/2000   F1 0.5889003083247688   accuracy 0.8125   precision 0.5971428571428572   recall 0.5832070228621953
deviation 2/5   iterations 880/2000   F1 0.5948751357220412   accuracy 0.8193181818181818   precision 0.6010138248847926   recall 0.5901315789473685
deviation 2/5   iterations 890/2000   F1 0.5827478296852505   accuracy 0.8125   precision 0.5889093701996928   recall 0.5782365154202171
deviation 2/5   iterations 900/2000   F1 0.589926752703174   accuracy 0.8102272727272727   precision 0.5999692780337942   recall 0.5834358974358974
deviation 2/5   iterations 910/2000   F1 0.5997176692024155   accuracy 0.8352272727272727   precision 0.5976958525345621   recall 0.6019230769230769
deviation 2/5   iterations 920/2000   F1 0.5812048338601283   accuracy 0.803409090909091   precision 0.5919815668202765   recall 0.5748769557040535
deviation 2/5   iterations 930/2000   F1 0.5918647794420777   accuracy 0.8159090909090909   precision 0.599078341013825   recall 0.5865901987949866
deviation 2/5   iterations 940/2000   F1 0.6010418426035398   accuracy 0.8261363636363637   precision 0.6048847926267281   recall 0.5977394530713206
deviation 2/5   iterations 950/2000   F1 0.6133975327733455   accuracy 0.8295454545454546   precision 0.6191705069124425   recall 0.6086299022078838
update
deviation 2/5   iterations 960/2000   F1 0.5993264632585708   accuracy 0.8079545454545455   precision 0.6151459293394778   recall 0.5904440154440155
deviation 2/5   iterations 970/2000   F1 0.6063660117411518   accuracy 0.8352272727272727   precision 0.6059293394777265   recall 0.6068100713719271
deviation 2/5   iterations 980/2000   F1 0.5969034858687188   accuracy 0.8181818181818182   precision 0.6044854070660522   recall 0.5913157414268991
deviation 2/5   iterations 990/2000   F1 0.5948751357220412   accuracy 0.8193181818181818   precision 0.6010138248847926   recall 0.5901315789473685
deviation 2/5   iterations 1000/2000   F1 0.5998863313441318   accuracy 0.8181818181818182   precision 0.6086021505376344   recall 0.5936423841059603
deviation 2/5   iterations 1010/2000   F1 0.5973512627257591   accuracy 0.8363636363636363   precision 0.5942242703533026   recall 0.600953246171874
deviation 2/5   iterations 1020/2000   F1 0.589926752703174   accuracy 0.8102272727272727   precision 0.5999692780337942   recall 0.5834358974358974
deviation 2/5   iterations 1030/2000   F1 0.5896970613438177   accuracy 0.8318181818181818   precision 0.5875268817204301   recall 0.5921183667662541
deviation 2/5   iterations 1040/2000   F1 0.5907738095238095   accuracy 0.8181818181818182   precision 0.5962519201228879   recall 0.5864905752051149
deviation 2/5   iterations 1050/2000   F1 0.5998771121351767   accuracy 0.8318181818181818   precision 0.5998771121351767   recall 0.5998771121351767
deviation 2/5   iterations 1060/2000   F1 0.5856584821428572   accuracy 0.8159090909090909   precision 0.5908448540706606   recall 0.5816318643094557
deviation 2/5   iterations 1070/2000   F1 0.6030746163728611   accuracy 0.8352272727272727   precision 0.6018125960061445   recall 0.6044029436967588
deviation 2/5   iterations 1080/2000   F1 0.5928533235813171   accuracy 0.8102272727272727   precision 0.6040860215053764   recall 0.5857843137254901
deviation 2/5   iterations 1090/2000   F1 0.5975997834952452   accuracy 0.8329545454545455   precision 0.596405529953917   recall 0.5988583093905943
deviation 2/5   iterations 1100/2000   F1 0.5898834896277352   accuracy 0.8136363636363636   precision 0.5977880184331797   recall 0.584317880794702
deviation 2/5   iterations 1110/2000   F1 0.6020770171557248   accuracy 0.8306818181818182   precision 0.6033486943164363   recall 0.6008683554020342
deviation 2/5   iterations 1120/2000   F1 0.5918952418695245   accuracy 0.8125   precision 0.6012596006144393   recall 0.5856050531914894
deviation 2/5   iterations 1130/2000   F1 0.5840746594415595   accuracy 0.821590909090909   precision 0.585837173579109   recall 0.5824675324675325
deviation 2/5   iterations 1140/2000   F1 0.5997176692024155   accuracy 0.8352272727272727   precision 0.5976958525345621   recall 0.6019230769230769
deviation 2/5   iterations 1150/2000   F1 0.5766640426834602   accuracy 0.825   precision 0.5754224270353303   recall 0.5780068379110055
deviation 2/5   iterations 1160/2000   F1 0.5917589191525058   accuracy 0.8340909090909091   precision 0.5888172043010753   recall 0.5951600373925294
deviation 2/5   iterations 1170/2000   F1 0.6010044642857143   accuracy 0.8227272727272728   precision 0.6070660522273426   recall 0.5962079969964332
deviation 2/5   iterations 1180/2000   F1 0.5893730714231955   accuracy 0.8238636363636364   precision 0.5912442396313364   recall 0.5876623376623377
deviation 2/5   iterations 1190/2000   F1 0.5910983346550357   accuracy 0.8295454545454546   precision 0.5903533026113672   recall 0.5918706501230773
deviation 2/5   iterations 1200/2000   F1 0.5903809650469708   accuracy 0.825   precision 0.591889400921659   recall 0.5889765466033627
deviation 2/5   iterations 1210/2000   F1 0.5810928595373785   accuracy 0.8386363636363636   precision 0.5749308755760368   recall 0.5902330743618203
deviation 2/5   iterations 1220/2000   F1 0.5840562302593532   accuracy 0.8068181818181818   precision 0.5939170506912442   recall 0.5778901130260194
deviation 2/5   iterations 1230/2000   F1 0.5903809650469708   accuracy 0.825   precision 0.591889400921659   recall 0.5889765466033627
deviation 2/5   iterations 1240/2000   F1 0.5903809650469708   accuracy 0.825   precision 0.591889400921659   recall 0.5889765466033627
deviation 2/5   iterations 1250/2000   F1 0.5965503568596352   accuracy 0.8318181818181818   precision 0.5957603686635944   recall 0.5973685196986167
deviation 2/5   iterations 1260/2000   F1 0.5998771121351767   accuracy 0.8318181818181818   precision 0.5998771121351767   recall 0.5998771121351767
deviation 2/5   iterations 1270/2000   F1 0.6010418426035398   accuracy 0.8261363636363637   precision 0.6048847926267281   recall 0.5977394530713206
deviation 2/5   iterations 1280/2000   F1 0.5845781761274719   accuracy 0.8340909090909091   precision 0.5805837173579109   recall 0.5895943490319848
deviation 2/5   iterations 1290/2000   F1 0.6114721212282839   accuracy 0.8306818181818182   precision 0.6156989247311828   recall 0.6078168659246026
deviation 2/5   iterations 1300/2000   F1 0.6106912442396313   accuracy 0.8363636363636363   precision 0.6106912442396313   recall 0.6106912442396313
deviation 2/5   iterations 1310/2000   F1 0.5845781761274719   accuracy 0.8340909090909091   precision 0.5805837173579109   recall 0.5895943490319848
deviation 2/5   iterations 1320/2000   F1 0.5955071430995282   accuracy 0.8306818181818182   precision 0.595115207373272   recall 0.595906026962728
deviation 2/5   iterations 1330/2000   F1 0.5866172555978912   accuracy 0.8363636363636363   precision 0.581874039938556   recall 0.5927937715009959
deviation 2/5   iterations 1340/2000   F1 0.5896103896103897   accuracy 0.8204545454545454   precision 0.5934254992319509   recall 0.5864165956237568
deviation 2/5   iterations 1350/2000   F1 0.5880357942738592   accuracy 0.8420454545454545   precision 0.5809831029185868   recall 0.5985582675281168
deviation 2/5   iterations 1360/2000   F1 0.5840746594415595   accuracy 0.821590909090909   precision 0.585837173579109   recall 0.5824675324675325
deviation 2/5   iterations 1370/2000   F1 0.5792188401370932   accuracy 0.8238636363636364   precision 0.5788940092165898   recall 0.5795499603489295
deviation 2/5   iterations 1380/2000   F1 0.5839050890947026   accuracy 0.8375   precision 0.5784024577572965   recall 0.5915404040404041
deviation 2/5   iterations 1390/2000   F1 0.596853841668749   accuracy 0.825   precision 0.6001228878648234   recall 0.5940049151388584
deviation 2/5   iterations 1400/2000   F1 0.5791832329111503   accuracy 0.8409090909090909   precision 0.5721044546850999   recall 0.5906611659636274
deviation 2/5   iterations 1410/2000   F1 0.605284178187404   accuracy 0.8340909090909091   precision 0.605284178187404   recall 0.605284178187404
deviation 2/5   iterations 1420/2000   F1 0.5923586826034761   accuracy 0.8386363636363636   precision 0.5872811059907834   recall 0.5989219905569716
deviation 2/5   iterations 1430/2000   F1 0.5984158744443274   accuracy 0.8375   precision 0.5948694316436252   recall 0.6025722789115646
deviation 2/5   iterations 1440/2000   F1 0.5952416956499824   accuracy 0.8340909090909091   precision 0.5929339477726574   recall 0.5978090766823161
deviation 2/5   iterations 1450/2000   F1 0.5835680645379363   accuracy 0.8329545454545455   precision 0.5799385560675883   recall 0.5880434194142169
deviation 2/5   iterations 1460/2000   F1 0.5828889678871904   accuracy 0.8363636363636363   precision 0.5777572964669738   recall 0.589880538075825
deviation 2/5   iterations 1470/2000   F1 0.5967357690638553   accuracy 0.8284090909090909   precision 0.5979416282642089   recall 0.5955910573786222
deviation 2/5   iterations 1480/2000   F1 0.5761807092169918   accuracy 0.8375   precision 0.5701689708141321   recall 0.5853972242163197
deviation 2/5   iterations 1490/2000   F1 0.5870508507630052   accuracy 0.825   precision 0.5877726574500768   recall 0.5863548983811101
deviation 2/5   iterations 1500/2000   F1 0.5648964470257246   accuracy 0.8386363636363636   precision 0.5584639016897082   recall 0.5769436043408647
deviation 2/5   iterations 1510/2000   F1 0.6103896103896104   accuracy 0.8295454545454546   precision 0.6150537634408602   recall 0.6064222790565501
deviation 2/5   iterations 1520/2000   F1 0.5939633368022929   accuracy 0.8443181818181819   precision 0.5863901689708142   recall 0.6051387891840153
deviation 2/5   iterations 1530/2000   F1 0.5787762474599232   accuracy 0.8193181818181818   precision 0.5804301075268817   recall 0.5772727272727273
deviation 2/5   iterations 1540/2000   F1 0.5941965336052074   accuracy 0.8329545454545455   precision 0.592288786482335   recall 0.5962820512820513
deviation 2/5   iterations 1550/2000   F1 0.5927993132477446   accuracy 0.8352272727272727   precision 0.5894623655913979   recall 0.5967261904761905
deviation 2/5   iterations 1560/2000   F1 0.5959595959595959   accuracy 0.8386363636363636   precision 0.5913978494623656   recall 0.6016176852345234
deviation 2/5   iterations 1570/2000   F1 0.598100109609061   accuracy 0.8409090909090909   precision 0.5926881720430107   recall 0.6050502096129473
deviation 2/5   iterations 1580/2000   F1 0.5970264134766216   accuracy 0.8397727272727272   precision 0.5920430107526882   recall 0.6033160450231737
deviation 2/5   iterations 1590/2000   F1 0.5910983346550357   accuracy 0.8295454545454546   precision 0.5903533026113672   recall 0.5918706501230773
deviation 2/5   iterations 1600/2000   F1 0.5973512627257591   accuracy 0.8363636363636363   precision 0.5942242703533026   recall 0.600953246171874
deviation 2/5   iterations 1610/2000   F1 0.5872875744868682   accuracy 0.8454545454545455   precision 0.5788018433179724   recall 0.6013369364244062
deviation 2/5   iterations 1620/2000   F1 0.5948995457749993   accuracy 0.8375   precision 0.590752688172043   recall 0.5999539819176005
deviation 2/5   iterations 1630/2000   F1 0.5662091918776411   accuracy 0.8352272727272727   precision 0.5606451612903226   recall 0.5754172015404364
deviation 2/5   iterations 1640/2000   F1 0.596853841668749   accuracy 0.825   precision 0.6001228878648234   recall 0.5940049151388584
deviation 2/5   iterations 1650/2000   F1 0.581879249610879   accuracy 0.8352272727272727   precision 0.5771121351766513   recall 0.5882559774964838
deviation 2/5   iterations 1660/2000   F1 0.5821082517454255   accuracy 0.8397727272727272   precision 0.5755760368663595   recall 0.5919777458722182
deviation 2/5   iterations 1670/2000   F1 0.5880540571963566   accuracy 0.8261363636363637   precision 0.5884178187403994   recall 0.5876968455950465
deviation 2/5   iterations 1680/2000   F1 0.5741626638866426   accuracy 0.8306818181818182   precision 0.5704147465437788   recall 0.5790388435224012
deviation 2/5   iterations 1690/2000   F1 0.5741570141570141   accuracy 0.8397727272727272   precision 0.5673425499231951   recall 0.5856250000000001
deviation 2/5   iterations 1700/2000   F1 0.5797415095936453   accuracy 0.8204545454545454   precision 0.5810752688172043   recall 0.5785052178155381
deviation 2/5   iterations 1710/2000   F1 0.572192513368984   accuracy 0.8375   precision 0.5660522273425499   recall 0.5821413289320863
deviation 2/5   iterations 1720/2000   F1 0.5791832329111503   accuracy 0.8409090909090909   precision 0.5721044546850999   recall 0.5906611659636274
deviation 2/5   iterations 1730/2000   F1 0.5800840232381983   accuracy 0.8375   precision 0.5742857142857143   recall 0.5885273270458673
deviation 2/5   iterations 1740/2000   F1 0.585594538681632   accuracy 0.8352272727272727   precision 0.5812288786482335   recall 0.5911774442727874
deviation 2/5   iterations 1750/2000   F1 0.5810928595373785   accuracy 0.8386363636363636   precision 0.5749308755760368   recall 0.5902330743618203
deviation 2/5   iterations 1760/2000   F1 0.581566190854579   accuracy 0.8306818181818182   precision 0.5786482334869432   recall 0.5850340136054422
deviation 2/5   iterations 1770/2000   F1 0.5795881305149793   accuracy 0.8284090909090909   precision 0.5773579109062981   recall 0.5821415522730832
deviation 2/5   iterations 1780/2000   F1 0.5763248988347716   accuracy 0.8204545454545454   precision 0.5769585253456221   recall 0.5757154429277846
deviation 2/5   iterations 1790/2000   F1 0.5886821766665349   accuracy 0.8386363636363636   precision 0.5831643625192012   recall 0.5961306268554951
deviation 2/5   iterations 1800/2000   F1 0.5923586826034761   accuracy 0.8386363636363636   precision 0.5872811059907834   recall 0.5989219905569716
deviation 2/5   iterations 1810/2000   F1 0.5810928595373785   accuracy 0.8386363636363636   precision 0.5749308755760368   recall 0.5902330743618203
deviation 2/5   iterations 1820/2000   F1 0.5856584821428572   accuracy 0.8159090909090909   precision 0.5908448540706606   recall 0.5816318643094557
deviation 2/5   iterations 1830/2000   F1 0.5808758285923066   accuracy 0.8340909090909091   precision 0.5764669738863287   recall 0.5866655524450202
deviation 2/5   iterations 1840/2000   F1 0.5786077927314884   accuracy 0.8272727272727273   precision 0.5767127496159754   recall 0.58073694693413
deviation 2/5   iterations 1850/2000   F1 0.5839050890947026   accuracy 0.8375   precision 0.5784024577572965   recall 0.5915404040404041
deviation 2/5   iterations 1860/2000   F1 0.5839050890947026   accuracy 0.8375   precision 0.5784024577572965   recall 0.5915404040404041
deviation 2/5   iterations 1870/2000   F1 0.5843232481569215   accuracy 0.8465909090909091   precision 0.5753302611367128   recall 0.6003207645980623
deviation 2/5   iterations 1880/2000   F1 0.5836559139784947   accuracy 0.825   precision 0.5836559139784946   recall 0.5836559139784946
deviation 2/5   iterations 1890/2000   F1 0.5897245983381333   accuracy 0.8397727272727272   precision 0.5838095238095238   recall 0.5978535353535354
deviation 2/5   iterations 1900/2000   F1 0.5831303123815711   accuracy 0.8409090909090909   precision 0.576221198156682   recall 0.5937627549092228
deviation 2/5   iterations 1910/2000   F1 0.5770957591078458   accuracy 0.8340909090909091   precision 0.5723502304147465   recall 0.5836304492961548
deviation 2/5   iterations 1920/2000   F1 0.572192513368984   accuracy 0.8375   precision 0.5660522273425499   recall 0.5821413289320863
deviation 2/5   iterations 1930/2000   F1 0.5800840232381983   accuracy 0.8375   precision 0.5742857142857143   recall 0.5885273270458673
deviation 2/5   iterations 1940/2000   F1 0.5712197498781875   accuracy 0.8363636363636363   precision 0.5654070660522273   recall 0.5804598569938474
deviation 2/5   iterations 1950/2000   F1 0.5876464323748668   accuracy 0.8375   precision 0.5825192012288787   recall 0.5944444444444444
deviation 2/5   iterations 1960/2000   F1 0.6009961561366466   accuracy 0.8477272727272728   precision 0.592442396313364   recall 0.613717101782286
deviation 2/5   iterations 1970/2000   F1 0.5959595959595959   accuracy 0.8386363636363636   precision 0.5913978494623656   recall 0.6016176852345234
deviation 2/5   iterations 1980/2000   F1 0.5966198979591837   accuracy 0.8431818181818181   precision 0.5898617511520737   recall 0.605992085924251
deviation 2/5   iterations 1990/2000   F1 0.5921249506176295   accuracy 0.8306818181818182   precision 0.5909984639016896   recall 0.5933136750844297
deviation 2/5   iterations 2000/2000   F1 0.5615532210361168   accuracy 0.8397727272727272   precision 0.5549923195084485   recall 0.5750285024478573

deviation 3/5   iterations 10/2000   F1 0.5684513922504754   accuracy 0.8238636363636364   precision 0.5665437788018434   recall 0.5706586982619135
update
deviation 3/5   iterations 20/2000   F1 0.1341062791872094   accuracy 0.1409090909090909   precision 0.4957910906298003   recall 0.4851287395249881
deviation 3/5   iterations 30/2000   F1 0.1758935408431466   accuracy 0.17727272727272728   precision 0.49585253456221196   recall 0.49396879858467807
deviation 3/5   iterations 40/2000   F1 0.2647658870024443   accuracy 0.26704545454545453   precision 0.5344700460829492   recall 0.5250885478158205
deviation 3/5   iterations 50/2000   F1 0.26685574871177603   accuracy 0.26931818181818185   precision 0.5357603686635944   recall 0.5257649808754782
deviation 3/5   iterations 60/2000   F1 0.4646635989328822   accuracy 0.5488636363636363   precision 0.5874347158218125   recall 0.536788277388265
deviation 3/5   iterations 70/2000   F1 0.5152304664763435   accuracy 0.6386363636363637   precision 0.6054685099846391   recall 0.5472295136997232
deviation 3/5   iterations 80/2000   F1 0.5227930560448746   accuracy 0.6431818181818182   precision 0.6203993855606759   recall 0.5537877914477549
deviation 3/5   iterations 90/2000   F1 0.4664794664794665   accuracy 0.5465909090909091   precision 0.5984946236559139   recall 0.5414074931288876
deviation 3/5   iterations 100/2000   F1 0.5091573649362495   accuracy 0.6136363636363636   precision 0.6242089093701997   recall 0.553603911772973
deviation 3/5   iterations 110/2000   F1 0.5788913023577094   accuracy 0.7386363636363636   precision 0.6416589861751152   recall 0.5764671544467367
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deviation 3/5   iterations 120/2000   F1 0.5670914542728636   accuracy 0.7136363636363636   precision 0.6439324116743472   recall 0.5721786394364983
deviation 3/5   iterations 130/2000   F1 0.5226635721974706   accuracy 0.6329545454545454   precision 0.6351766513056836   recall 0.5591856060606061
deviation 3/5   iterations 140/2000   F1 0.5435554029304029   accuracy 0.6704545454545454   precision 0.64   recall 0.5643793195033878
deviation 3/5   iterations 150/2000   F1 0.5611262150240918   accuracy 0.7079545454545455   precision 0.6365898617511521   recall 0.5680549092601209
deviation 3/5   iterations 160/2000   F1 0.5167522851658604   accuracy 0.6284090909090909   precision 0.6243625192012289   recall 0.5544507575757576
deviation 3/5   iterations 170/2000   F1 0.5553157698766708   accuracy 0.6977272727272728   precision 0.6349001536098311   recall 0.5657213331656998
deviation 3/5   iterations 180/2000   F1 0.5658309472563885   accuracy 0.7397727272727272   precision 0.6134869431643625   recall 0.5639915186119349
deviation 3/5   iterations 190/2000   F1 0.49838275419670763   accuracy 0.6056818181818182   precision 0.603225806451613   recall 0.5445822010869565
deviation 3/5   iterations 200/2000   F1 0.5396819404973118   accuracy 0.6693181818181818   precision 0.6311213517665131   recall 0.5605644355644356
deviation 3/5   iterations 210/2000   F1 0.5657533217312194   accuracy 0.7238636363636364   precision 0.6291551459293394   recall 0.5677260542323951
deviation 3/5   iterations 220/2000   F1 0.5411111645033896   accuracy 0.6670454545454545   precision 0.6380645161290323   recall 0.5632159978393464
deviation 3/5   iterations 230/2000   F1 0.5697333298094458   accuracy 0.7477272727272727   precision 0.6138863287250385   recall 0.5660836144011295
deviation 3/5   iterations 240/2000   F1 0.5561468522018503   accuracy 0.6988636363636364   precision 0.6355453149001536   recall 0.566165178999904
deviation 3/5   iterations 250/2000   F1 0.5765771903529091   accuracy 0.7431818181818182   precision 0.631889400921659   recall 0.5732538853737945
deviation 3/5   iterations 260/2000   F1 0.5220022106535568   accuracy 0.6420454545454546   precision 0.6197542242703533   recall 0.5534370818801956
deviation 3/5   iterations 270/2000   F1 0.5450623578319868   accuracy 0.6704545454545454   precision 0.6441167434715822   recall 0.5660812189033702
deviation 3/5   iterations 280/2000   F1 0.562179274996497   accuracy 0.7215909090909091   precision 0.6237480798771121   recall 0.5648907103825136
deviation 3/5   iterations 290/2000   F1 0.5397617124767378   accuracy 0.678409090909091   precision 0.6198156682027649   recall 0.5567864131954152
deviation 3/5   iterations 300/2000   F1 0.4808450518618631   accuracy 0.5625   precision 0.6198771121351767   recall 0.5504384604248103
deviation 3/5   iterations 310/2000   F1 0.5209059233449478   accuracy 0.6363636363636364   precision 0.6247619047619049   recall 0.5551194140864646
deviation 3/5   iterations 320/2000   F1 0.5909477263068423   accuracy 0.7613636363636364   precision 0.6422119815668202   recall 0.5830695350690183
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deviation 3/5   iterations 330/2000   F1 0.5765871546553831   accuracy 0.7238636363636364   precision 0.6538556067588326   recall 0.5783754006410257
deviation 3/5   iterations 340/2000   F1 0.5985767721923183   accuracy 0.7784090909090909   precision 0.6395391705069124   recall 0.5879659756437668
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deviation 3/5   iterations 350/2000   F1 0.5476508687159454   accuracy 0.6761363636363636   precision 0.6432258064516129   recall 0.5663558106169297
deviation 3/5   iterations 360/2000   F1 0.5687562691904227   accuracy 0.7090909090909091   precision 0.6537019969278034   recall 0.5754777896458292
deviation 3/5   iterations 370/2000   F1 0.5739525876376059   accuracy 0.7397727272727272   precision 0.6299539170506913   recall 0.5715474547373549
deviation 3/5   iterations 380/2000   F1 0.5712639878945126   accuracy 0.7102272727272727   precision 0.6584639016897081   recall 0.5776601382766013
deviation 3/5   iterations 390/2000   F1 0.5916511215673173   accuracy 0.7727272727272727   precision 0.6321966205837174   recall 0.582370462254688
deviation 3/5   iterations 400/2000   F1 0.5849610678531701   accuracy 0.759090909090909   precision 0.6326881720430108   recall 0.5780307136404697
deviation 3/5   iterations 410/2000   F1 0.61529015335344   accuracy 0.7977272727272727   precision 0.6505069124423963   recall 0.6019274461338726
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deviation 3/5   iterations 420/2000   F1 0.6036914148557295   accuracy 0.7897727272727273   precision 0.6377572964669739   recall 0.5920542635658914
deviation 3/5   iterations 430/2000   F1 0.6010227589174957   accuracy 0.7761363636363636   precision 0.6464823348694316   recall 0.5902374031007752
deviation 3/5   iterations 440/2000   F1 0.608510192866302   accuracy 0.7681818181818182   precision 0.6707834101382488   recall 0.5978208079059062
deviation 3/5   iterations 450/2000   F1 0.6026939335031662   accuracy 0.7806818181818181   precision 0.6449462365591399   recall 0.5913746087818785
deviation 3/5   iterations 460/2000   F1 0.5749704840613932   accuracy 0.7545454545454545   precision 0.6177572964669739   recall 0.569725898814678
deviation 3/5   iterations 470/2000   F1 0.5734879867439933   accuracy 0.7340909090909091   precision 0.6349615975422427   recall 0.5724558799274286
deviation 3/5   iterations 480/2000   F1 0.5907213513044485   accuracy 0.7715909090909091   precision 0.6315514592933947   recall 0.5816552250190694
deviation 3/5   iterations 490/2000   F1 0.6115125864931525   accuracy 0.7909090909090909   precision 0.650752688172043   recall 0.5985887761088475
deviation 3/5   iterations 500/2000   F1 0.5852384350415378   accuracy 0.7568181818181818   precision 0.6355145929339477   recall 0.5786336183230057
deviation 3/5   iterations 510/2000   F1 0.597037037037037   accuracy 0.7875   precision 0.6282334869431644   recall 0.5864540182270092
deviation 3/5   iterations 520/2000   F1 0.6172333640854298   accuracy 0.821590909090909   precision 0.6311213517665131   recall 0.6080659536541889
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deviation 3/5   iterations 530/2000   F1 0.6112583617316673   accuracy 0.7931818181818182   precision 0.647926267281106   recall 0.5984171497248816
deviation 3/5   iterations 540/2000   F1 0.6225951229106286   accuracy 0.821590909090909   precision 0.6393548387096775   recall 0.612073055028463
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deviation 3/5   iterations 550/2000   F1 0.6050867252043773   accuracy 0.8113636363636364   precision 0.6211981566820277   recall 0.5957533568287071
deviation 3/5   iterations 560/2000   F1 0.6036914148557295   accuracy 0.7897727272727273   precision 0.6377572964669739   recall 0.5920542635658914
deviation 3/5   iterations 570/2000   F1 0.6236842105263158   accuracy 0.8227272727272728   precision 0.64   recall 0.6132736763609247
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deviation 3/5   iterations 580/2000   F1 0.575364782547103   accuracy 0.7522727272727273   precision 0.620583717357911   recall 0.5704359311181457
deviation 3/5   iterations 590/2000   F1 0.6198156682027649   accuracy 0.8159090909090909   precision 0.6402457757296467   recall 0.6082872351529068
deviation 3/5   iterations 600/2000   F1 0.6043124091560268   accuracy 0.8045454545454546   precision 0.6255606758832565   recall 0.593808242822648
deviation 3/5   iterations 610/2000   F1 0.6066449882602588   accuracy 0.7931818181818182   precision 0.6396927803379416   recall 0.5946038166096589
deviation 3/5   iterations 620/2000   F1 0.6078431372549019   accuracy 0.8   precision 0.6353302611367128   recall 0.5960624220378754
deviation 3/5   iterations 630/2000   F1 0.6104284007509815   accuracy 0.8113636363636364   precision 0.629431643625192   recall 0.599937376056779
deviation 3/5   iterations 640/2000   F1 0.613951423941205   accuracy 0.8068181818181818   precision 0.6392012288786483   recall 0.6018376172110294
deviation 3/5   iterations 650/2000   F1 0.6133204304680336   accuracy 0.803409090909091   precision 0.6413824884792627   recall 0.6008538167537432
deviation 3/5   iterations 660/2000   F1 0.592187728458883   accuracy 0.7875   precision 0.62   recall 0.582388377037562
deviation 3/5   iterations 670/2000   F1 0.6172333640854298   accuracy 0.821590909090909   precision 0.6311213517665131   recall 0.6080659536541889
deviation 3/5   iterations 680/2000   F1 0.6166288635744018   accuracy 0.8238636363636364   precision 0.6282949308755761   recall 0.6084607712765957
deviation 3/5   iterations 690/2000   F1 0.6119295724038807   accuracy 0.8159090909090909   precision 0.6278955453149002   recall 0.6022438133037302
deviation 3/5   iterations 700/2000   F1 0.6151491297122365   accuracy 0.8409090909090909   precision 0.6132718894009217   recall 0.6171532429237789
deviation 3/5   iterations 710/2000   F1 0.5997113906578411   accuracy 0.8022727272727272   precision 0.6201536098310292   recall 0.5897685435966177
deviation 3/5   iterations 720/2000   F1 0.5906526349485814   accuracy 0.7886363636363637   precision 0.6165284178187403   recall 0.5811364667026038
deviation 3/5   iterations 730/2000   F1 0.6047193406318856   accuracy 0.8079545454545455   precision 0.623379416282642   recall 0.5947312801932367
deviation 3/5   iterations 740/2000   F1 0.593512967754149   accuracy 0.7920454545454545   precision 0.6184639016897081   recall 0.5836805555555555
deviation 3/5   iterations 750/2000   F1 0.6033092306690118   accuracy 0.803409090909091   precision 0.6249155145929339   recall 0.5928310502283105
deviation 3/5   iterations 760/2000   F1 0.6127595133394637   accuracy 0.8352272727272727   precision 0.6141628264208909   recall 0.6114229514488582
deviation 3/5   iterations 770/2000   F1 0.6158651313313765   accuracy 0.8352272727272727   precision 0.6182795698924731   recall 0.6136363636363636
deviation 3/5   iterations 780/2000   F1 0.6123133119961721   accuracy 0.8284090909090909   precision 0.6185253456221198   recall 0.6072667823301748
deviation 3/5   iterations 790/2000   F1 0.6112351190476191   accuracy 0.8272727272727273   precision 0.6178801843317973   recall 0.6059254187877516
deviation 3/5   iterations 800/2000   F1 0.6183584456780333   accuracy 0.8409090909090909   precision 0.6173886328725039   recall 0.6193599980007747
deviation 3/5   iterations 810/2000   F1 0.6093132109643977   accuracy 0.8284090909090909   precision 0.6144086021505376   recall 0.6050505506409098
deviation 3/5   iterations 820/2000   F1 0.6010411332991978   accuracy 0.8068181818181818   precision 0.6186175115207373   recall 0.5915875169606513
deviation 3/5   iterations 830/2000   F1 0.6136558442915978   accuracy 0.8329545454545455   precision 0.6169892473118279   recall 0.6106770833333333
deviation 3/5   iterations 840/2000   F1 0.609479946267511   accuracy 0.8318181818181818   precision 0.6122273425499232   recall 0.6069893039984067
deviation 3/5   iterations 850/2000   F1 0.6123133119961721   accuracy 0.8284090909090909   precision 0.6185253456221198   recall 0.6072667823301748
deviation 3/5   iterations 860/2000   F1 0.6174482350160905   accuracy 0.8306818181818182   precision 0.6239324116743472   recall 0.6121602384447706
deviation 3/5   iterations 870/2000   F1 0.6203546869344915   accuracy 0.8306818181818182   precision 0.6280491551459293   recall 0.6142543859649123
deviation 3/5   iterations 880/2000   F1 0.6196625298792482   accuracy 0.8329545454545455   precision 0.6252227342549923   recall 0.6149801408196425
deviation 3/5   iterations 890/2000   F1 0.6148905939187268   accuracy 0.825   precision 0.6248233486943164   recall 0.6076291390728477
deviation 3/5   iterations 900/2000   F1 0.6101628664495113   accuracy 0.8261363636363637   precision 0.6172350230414747   recall 0.6046052631578948
deviation 3/5   iterations 910/2000   F1 0.6148905939187268   accuracy 0.825   precision 0.6248233486943164   recall 0.6076291390728477
deviation 3/5   iterations 920/2000   F1 0.6170583115752829   accuracy 0.8272727272727273   precision 0.6261136712749616   recall 0.6102179119545489
deviation 3/5   iterations 930/2000   F1 0.6219023998530279   accuracy 0.8352272727272727   precision 0.6265130568356375   recall 0.6178942787778847
deviation 3/5   iterations 940/2000   F1 0.6083708609271523   accuracy 0.8090909090909091   precision 0.6281413210445469   recall 0.5978418953788411
deviation 3/5   iterations 950/2000   F1 0.6196625298792482   accuracy 0.8329545454545455   precision 0.6252227342549923   recall 0.6149801408196425
deviation 3/5   iterations 960/2000   F1 0.6207792207792208   accuracy 0.8340909090909091   precision 0.625867895545315   recall 0.6164251207729469
deviation 3/5   iterations 970/2000   F1 0.6152587766920015   accuracy 0.8284090909090909   precision 0.622642089093702   recall 0.6094298245614036
deviation 3/5   iterations 980/2000   F1 0.615971523022028   accuracy 0.8261363636363637   precision 0.625468509984639   recall 0.6089136371394436
deviation 3/5   iterations 990/2000   F1 0.618798467719331   accuracy 0.8261363636363637   precision 0.6295852534562212   recall 0.6109953265125678
deviation 3/5   iterations 1000/2000   F1 0.6136558442915978   accuracy 0.8329545454545455   precision 0.6169892473118279   recall 0.6106770833333333
deviation 3/5   iterations 1010/2000   F1 0.6092105263157894   accuracy 0.8159090909090909   precision 0.6237788018433179   recall 0.6001491424310217
deviation 3/5   iterations 1020/2000   F1 0.6237069318993896   accuracy 0.8340909090909091   precision 0.629984639016897   recall 0.6184875267444074
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deviation 3/5   iterations 1030/2000   F1 0.6299546584759397   accuracy 0.8431818181818181   precision 0.6310291858678956   recall 0.6289127201944119
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deviation 3/5   iterations 1040/2000   F1 0.6220970180019239   accuracy 0.8295454545454546   precision 0.6315207373271889   recall 0.6149434545864613
deviation 3/5   iterations 1050/2000   F1 0.6304487807609396   accuracy 0.8465909090909091   precision 0.628847926267281   recall 0.632126115227582
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deviation 3/5   iterations 1060/2000   F1 0.6237814942850914   accuracy 0.8284090909090909   precision 0.6349923195084486   recall 0.6156267104542967
deviation 3/5   iterations 1070/2000   F1 0.6237069318993896   accuracy 0.8340909090909091   precision 0.629984639016897   recall 0.6184875267444074
deviation 3/5   iterations 1080/2000   F1 0.6276190591336098   accuracy 0.8409090909090909   precision 0.6297388632872504   recall 0.6256261973607492
deviation 3/5   iterations 1090/2000   F1 0.6264619552946489   accuracy 0.8397727272727272   precision 0.6290937019969278   recall 0.624025974025974
deviation 3/5   iterations 1100/2000   F1 0.617710778118794   accuracy 0.825   precision 0.6289400921658986   recall 0.609718605891395
deviation 3/5   iterations 1110/2000   F1 0.628783257615072   accuracy 0.8420454545454545   precision 0.630384024577573   recall 0.6272548455190943
deviation 3/5   iterations 1120/2000   F1 0.6253118403377471   accuracy 0.8386363636363636   precision 0.6284485407066053   recall 0.6224534026874728
deviation 3/5   iterations 1130/2000   F1 0.6248371893366733   accuracy 0.8352272727272727   precision 0.6306298003072197   recall 0.6199449359090088
deviation 3/5   iterations 1140/2000   F1 0.621505376344086   accuracy 0.8409090909090909   precision 0.621505376344086   recall 0.621505376344086
deviation 3/5   iterations 1150/2000   F1 0.6172248803827751   accuracy 0.8397727272727272   precision 0.6167434715821812   recall 0.6177141157811261
deviation 3/5   iterations 1160/2000   F1 0.6144878704218228   accuracy 0.8306818181818182   precision 0.6198156682027649   recall 0.6100153457302763
deviation 3/5   iterations 1170/2000   F1 0.6085235108323324   accuracy 0.8181818181818182   precision 0.6209523809523809   recall 0.6003118662032838
deviation 3/5   iterations 1180/2000   F1 0.6107599403968317   accuracy 0.8397727272727272   precision 0.608509984639017   recall 0.6132051282051282
deviation 3/5   iterations 1190/2000   F1 0.6047193406318856   accuracy 0.8079545454545455   precision 0.623379416282642   recall 0.5947312801932367
deviation 3/5   iterations 1200/2000   F1 0.6105667193497404   accuracy 0.8329545454545455   precision 0.6128725038402458   recall 0.6084415584415584
deviation 3/5   iterations 1210/2000   F1 0.6155526430755789   accuracy 0.8227272727272728   precision 0.6276497695852534   recall 0.6072213792462763
deviation 3/5   iterations 1220/2000   F1 0.6061197916666666   accuracy 0.825   precision 0.6124731182795699   recall 0.6010667078920925
deviation 3/5   iterations 1230/2000   F1 0.6098891730605286   accuracy 0.8227272727272728   precision 0.6194162826420891   recall 0.6029668874172185
deviation 3/5   iterations 1240/2000   F1 0.6061197916666666   accuracy 0.825   precision 0.6124731182795699   recall 0.6010667078920925
deviation 3/5   iterations 1250/2000   F1 0.6183584456780333   accuracy 0.8409090909090909   precision 0.6173886328725039   recall 0.6193599980007747
deviation 3/5   iterations 1260/2000   F1 0.6048877522023303   accuracy 0.8204545454545454   precision 0.6140092165898617   recall 0.5983046357615894
deviation 3/5   iterations 1270/2000   F1 0.6114721212282839   accuracy 0.8306818181818182   precision 0.6156989247311828   recall 0.6078168659246026
deviation 3/5   iterations 1280/2000   F1 0.6116598759536217   accuracy 0.8340909090909091   precision 0.6135176651305684   recall 0.6099192041790121
deviation 3/5   iterations 1290/2000   F1 0.618100761431333   accuracy 0.8375   precision 0.6195698924731182   recall 0.6167002494722702
deviation 3/5   iterations 1300/2000   F1 0.6106912442396313   accuracy 0.8363636363636363   precision 0.6106912442396313   recall 0.6106912442396313
deviation 3/5   iterations 1310/2000   F1 0.6030881336473014   accuracy 0.825   precision 0.6083563748079878   recall 0.5987722776713602
deviation 3/5   iterations 1320/2000   F1 0.6026053397829622   accuracy 0.8147727272727273   precision 0.6149001536098311   recall 0.5946969696969697
deviation 3/5   iterations 1330/2000   F1 0.609651260136697   accuracy 0.8386363636363636   precision 0.6078648233486943   recall 0.6115608993505256
deviation 3/5   iterations 1340/2000   F1 0.6073251704565736   accuracy 0.8295454545454546   precision 0.6109370199692781   recall 0.6041582536257802
deviation 3/5   iterations 1350/2000   F1 0.6160983102918587   accuracy 0.8386363636363636   precision 0.6160983102918587   recall 0.6160983102918587
deviation 3/5   iterations 1360/2000   F1 0.6129064234734338   accuracy 0.8386363636363636   precision 0.6119815668202765   recall 0.6138621284252352
deviation 3/5   iterations 1370/2000   F1 0.6095937143364164   accuracy 0.8352272727272727   precision 0.6100460829493087   recall 0.6091487494515138
deviation 3/5   iterations 1380/2000   F1 0.6117954460619635   accuracy 0.8375   precision 0.6113364055299539   recall 0.6122620935765266
deviation 3/5   iterations 1390/2000   F1 0.6106912442396313   accuracy 0.8363636363636363   precision 0.6106912442396313   recall 0.6106912442396313
deviation 3/5   iterations 1400/2000   F1 0.6061197916666666   accuracy 0.825   precision 0.6124731182795699   recall 0.6010667078920925
deviation 3/5   iterations 1410/2000   F1 0.6129064234734338   accuracy 0.8386363636363636   precision 0.6119815668202765   recall 0.6138621284252352
deviation 3/5   iterations 1420/2000   F1 0.6059315628395974   accuracy 0.821590909090909   precision 0.6146543778801843   recall 0.59952636968766
deviation 3/5   iterations 1430/2000   F1 0.6160983102918587   accuracy 0.8386363636363636   precision 0.6160983102918587   recall 0.6160983102918587
deviation 3/5   iterations 1440/2000   F1 0.6162810759940397   accuracy 0.8420454545454545   precision 0.6139170506912442   recall 0.6188461538461538
deviation 3/5   iterations 1450/2000   F1 0.6197206370187724   accuracy 0.8454545454545455   precision 0.6158525345622119   recall 0.6241260812892523
deviation 3/5   iterations 1460/2000   F1 0.6169796036802844   accuracy 0.8363636363636363   precision 0.6189247311827957   recall 0.6151548685729245
deviation 3/5   iterations 1470/2000   F1 0.621505376344086   accuracy 0.8409090909090909   precision 0.621505376344086   recall 0.621505376344086
deviation 3/5   iterations 1480/2000   F1 0.6248172811434141   accuracy 0.8568181818181818   precision 0.6140706605222734   recall 0.6403228976130368
deviation 3/5   iterations 1490/2000   F1 0.599561403508772   accuracy 0.8113636363636364   precision 0.6129646697388633   recall 0.5913994531444196
deviation 3/5   iterations 1500/2000   F1 0.6083994612207353   accuracy 0.8306818181818182   precision 0.6115821812596006   recall 0.6055617559523809
deviation 3/5   iterations 1510/2000   F1 0.6241350835729946   accuracy 0.8465909090909091   precision 0.6206144393241168   recall 0.6280729683177619
deviation 3/5   iterations 1520/2000   F1 0.6144878704218228   accuracy 0.8306818181818182   precision 0.6198156682027649   recall 0.6100153457302763
deviation 3/5   iterations 1530/2000   F1 0.6218022115912477   accuracy 0.8443181818181819   precision 0.6193241167434715   recall 0.6244871794871795
deviation 3/5   iterations 1540/2000   F1 0.6234420095232025   accuracy 0.8397727272727272   precision 0.6249769585253456   recall 0.6219775474956822
deviation 3/5   iterations 1550/2000   F1 0.6123133119961721   accuracy 0.8284090909090909   precision 0.6185253456221198   recall 0.6072667823301748
deviation 3/5   iterations 1560/2000   F1 0.6304611630421484   accuracy 0.8556818181818182   precision 0.6216589861751152   recall 0.6420454545454546
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deviation 3/5   iterations 1570/2000   F1 0.6155844155844156   accuracy 0.8318181818181818   precision 0.6204608294930876   recall 0.6114236999147485
deviation 3/5   iterations 1580/2000   F1 0.6174202328746409   accuracy 0.8431818181818181   precision 0.6145622119815668   recall 0.6205719163465643
deviation 3/5   iterations 1590/2000   F1 0.6218022115912477   accuracy 0.8443181818181819   precision 0.6193241167434715   recall 0.6244871794871795
deviation 3/5   iterations 1600/2000   F1 0.6127595133394637   accuracy 0.8352272727272727   precision 0.6141628264208909   recall 0.6114229514488582
deviation 3/5   iterations 1610/2000   F1 0.6203635429064464   accuracy 0.8397727272727272   precision 0.6208602150537634   recall 0.6198747013797474
deviation 3/5   iterations 1620/2000   F1 0.6234414293426025   accuracy 0.8522727272727273   precision 0.6156067588325653   recall 0.6336311595335161
deviation 3/5   iterations 1630/2000   F1 0.6077811879400614   accuracy 0.8204545454545454   precision 0.6181259600614439   recall 0.6005165688950236
deviation 3/5   iterations 1640/2000   F1 0.6176482205632579   accuracy 0.85   precision 0.6101996927803379   recall 0.627381070753846
deviation 3/5   iterations 1650/2000   F1 0.6160983102918587   accuracy 0.8386363636363636   precision 0.6160983102918587   recall 0.6160983102918587
deviation 3/5   iterations 1660/2000   F1 0.628016711722782   accuracy 0.8534090909090909   precision 0.6203686635944701   recall 0.6377637130801688
deviation 3/5   iterations 1670/2000   F1 0.6155844155844156   accuracy 0.8318181818181818   precision 0.6204608294930876   recall 0.6114236999147485
deviation 3/5   iterations 1680/2000   F1 0.6200042517006803   accuracy 0.8522727272727273   precision 0.6114900153609831   recall 0.631502659767216
deviation 3/5   iterations 1690/2000   F1 0.6036300547177366   accuracy 0.8159090909090909   precision 0.6155453149001536   recall 0.595827515567831
deviation 3/5   iterations 1700/2000   F1 0.6232282488676566   accuracy 0.8488636363636364   precision 0.6177880184331797   recall 0.6297303881760598
deviation 3/5   iterations 1710/2000   F1 0.6238104678826328   accuracy 0.8431818181818181   precision 0.6227956989247312   recall 0.6248578675763142
deviation 3/5   iterations 1720/2000   F1 0.6169796036802844   accuracy 0.8363636363636363   precision 0.6189247311827957   recall 0.6151548685729245
deviation 3/5   iterations 1730/2000   F1 0.6264986804272417   accuracy 0.8488636363636364   precision 0.621904761904762   recall 0.6318027210884354
deviation 3/5   iterations 1740/2000   F1 0.6203635429064464   accuracy 0.8397727272727272   precision 0.6208602150537634   recall 0.6198747013797474
deviation 3/5   iterations 1750/2000   F1 0.6244131455399061   accuracy 0.85   precision 0.6184331797235023   recall 0.6316760257408698
deviation 3/5   iterations 1760/2000   F1 0.6273233471884558   accuracy 0.8465909090909091   precision 0.624731182795699   recall 0.6301282051282051
deviation 3/5   iterations 1770/2000   F1 0.6210658176314003   accuracy 0.85   precision 0.6143164362519201   recall 0.6295630858368501
deviation 3/5   iterations 1780/2000   F1 0.614757244290923   accuracy 0.8340909090909091   precision 0.6176344086021506   recall 0.6121440035614287
deviation 3/5   iterations 1790/2000   F1 0.6158651313313765   accuracy 0.8352272727272727   precision 0.6182795698924731   recall 0.6136363636363636
deviation 3/5   iterations 1800/2000   F1 0.6226543147035868   accuracy 0.8420454545454545   precision 0.6221505376344086   recall 0.6231661379857256
deviation 3/5   iterations 1810/2000   F1 0.6273233471884558   accuracy 0.8465909090909091   precision 0.624731182795699   recall 0.6301282051282051
deviation 3/5   iterations 1820/2000   F1 0.6174202328746409   accuracy 0.8431818181818181   precision 0.6145622119815668   recall 0.6205719163465643
deviation 3/5   iterations 1830/2000   F1 0.6261448688633156   accuracy 0.8454545454545455   precision 0.6240860215053763   recall 0.6283379300702856
deviation 3/5   iterations 1840/2000   F1 0.6218022115912477   accuracy 0.8443181818181819   precision 0.6193241167434715   recall 0.6244871794871795
deviation 3/5   iterations 1850/2000   F1 0.6176482205632579   accuracy 0.85   precision 0.6101996927803379   recall 0.627381070753846
deviation 3/5   iterations 1860/2000   F1 0.6141742256691056   accuracy 0.8465909090909091   precision 0.6082642089093702   recall 0.6215239461487531
deviation 3/5   iterations 1870/2000   F1 0.6160983102918587   accuracy 0.8386363636363636   precision 0.6160983102918587   recall 0.6160983102918587
deviation 3/5   iterations 1880/2000   F1 0.6164823461948062   accuracy 0.8488636363636364   precision 0.6095545314900154   recall 0.6253867791842476
deviation 3/5   iterations 1890/2000   F1 0.6203635429064464   accuracy 0.8397727272727272   precision 0.6208602150537634   recall 0.6198747013797474
deviation 3/5   iterations 1900/2000   F1 0.6118967676305936   accuracy 0.8443181818181819   precision 0.6069738863287251   recall 0.6178198256726761
deviation 3/5   iterations 1910/2000   F1 0.6085027546194726   accuracy 0.8340909090909091   precision 0.6094009216589862   recall 0.607633809287761
deviation 3/5   iterations 1920/2000   F1 0.6220512820512821   accuracy 0.8477272727272728   precision 0.6171428571428572   recall 0.6278243379148508
deviation 3/5   iterations 1930/2000   F1 0.6130026353118562   accuracy 0.8488636363636364   precision 0.6054377880184332   recall 0.6231060606060606
deviation 3/5   iterations 1940/2000   F1 0.6238104678826328   accuracy 0.8431818181818181   precision 0.6227956989247312   recall 0.6248578675763142
deviation 3/5   iterations 1950/2000   F1 0.6151491297122365   accuracy 0.8409090909090909   precision 0.6132718894009217   recall 0.6171532429237789
deviation 3/5   iterations 1960/2000   F1 0.6174202328746409   accuracy 0.8431818181818181   precision 0.6145622119815668   recall 0.6205719163465643
deviation 3/5   iterations 1970/2000   F1 0.6211635433130127   accuracy 0.8375   precision 0.6236866359447004   recall 0.6188311688311688
deviation 3/5   iterations 1980/2000   F1 0.6258503401360545   accuracy 0.8545454545454545   precision 0.6168970814132104   recall 0.6378803032279572
deviation 3/5   iterations 1990/2000   F1 0.6185522323363676   accuracy 0.8318181818181818   precision 0.6245775729646698   recall 0.6135587144761456
deviation 3/5   iterations 2000/2000   F1 0.6350278469012915   accuracy 0.8568181818181818   precision 0.62642089093702   recall 0.6461313370928564
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deviation 4/5   iterations 10/2000   F1 0.1287991287991288   accuracy 0.13636363636363635   precision 0.49321044546851   recall 0.47196996600882757
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deviation 4/5   iterations 20/2000   F1 0.5171397216865045   accuracy 0.615909090909091   precision 0.6460829493087558   recall 0.5626875352658585
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deviation 4/5   iterations 30/2000   F1 0.256494224839852   accuracy 0.25795454545454544   precision 0.5334254992319508   recall 0.5256642512077295
deviation 4/5   iterations 40/2000   F1 0.49565849720529237   accuracy 0.5772727272727273   precision 0.644731182795699   recall 0.5609478417917708
deviation 4/5   iterations 50/2000   F1 0.42811629955947134   accuracy 0.47613636363636364   precision 0.6078955453149002   recall 0.5469017094017095
deviation 4/5   iterations 60/2000   F1 0.443847643014784   accuracy 0.4965909090909091   precision 0.6236251920122888   recall 0.5530859506923337
deviation 4/5   iterations 70/2000   F1 0.46919097413318656   accuracy 0.5329545454545455   precision 0.6401536098310292   recall 0.5591852620653865
deviation 4/5   iterations 80/2000   F1 0.4588016033160932   accuracy 0.5147727272727273   precision 0.6421812596006145   recall 0.5606089179448496
deviation 4/5   iterations 90/2000   F1 0.5077706000416772   accuracy 0.5943181818181819   precision 0.6544086021505375   recall 0.5652917212279936
deviation 4/5   iterations 100/2000   F1 0.484204887589014   accuracy 0.5511363636363636   precision 0.6587096774193548   recall 0.5668215401808813
deviation 4/5   iterations 110/2000   F1 0.55707073065687   accuracy 0.6693181818181818   precision 0.6805222734254992   recall 0.5807426787441737
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deviation 4/5   iterations 120/2000   F1 0.5508493031358884   accuracy 0.6590909090909091   precision 0.6788325652841782   recall 0.5790076605263015
deviation 4/5   iterations 130/2000   F1 0.4943295959693471   accuracy 0.5738636363636364   precision 0.6469124423963134   recall 0.5618136129552647
deviation 4/5   iterations 140/2000   F1 0.5147281180513442   accuracy 0.6125   precision 0.644147465437788   recall 0.5617368421052632
deviation 4/5   iterations 150/2000   F1 0.5086875863811082   accuracy 0.6056818181818182   precision 0.6361597542242703   recall 0.5581737231182795
deviation 4/5   iterations 160/2000   F1 0.4853199204585331   accuracy 0.5738636363636364   precision 0.613978494623656   recall 0.548131811105345
deviation 4/5   iterations 170/2000   F1 0.517739709344808   accuracy 0.6318181818181818   precision 0.6221812596006144   recall 0.5537574817113722
deviation 4/5   iterations 180/2000   F1 0.5722341046082053   accuracy 0.7159090909090909   precision 0.6534562211981567   recall 0.5766221813161528
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deviation 4/5   iterations 190/2000   F1 0.581643245317911   accuracy 0.7522727272727273   precision 0.6329339477726574   recall 0.576141506711433
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deviation 4/5   iterations 200/2000   F1 0.5428456385007667   accuracy 0.6715909090909091   precision 0.6365284178187405   recall 0.563061938061938
deviation 4/5   iterations 210/2000   F1 0.5670914542728636   accuracy 0.7136363636363636   precision 0.6439324116743472   recall 0.5721786394364983
deviation 4/5   iterations 220/2000   F1 0.5825531171198163   accuracy 0.740909090909091   precision 0.6470660522273426   recall 0.5793858747205657
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deviation 4/5   iterations 230/2000   F1 0.5349673398453887   accuracy 0.6693181818181818   precision 0.6187711213517666   recall 0.5553690506198584
deviation 4/5   iterations 240/2000   F1 0.5037927710594066   accuracy 0.6284090909090909   precision 0.5873118279569892   recall 0.5389605404575464
deviation 4/5   iterations 250/2000   F1 0.5750460898007732   accuracy 0.7693181818181818   precision 0.6055606758832566   recall 0.5681746031746032
deviation 4/5   iterations 260/2000   F1 0.5384344443678741   accuracy 0.6886363636363636   precision 0.6050384024577573   recall 0.5515807641013573
deviation 4/5   iterations 270/2000   F1 0.5426081386138234   accuracy 0.6920454545454545   precision 0.6110906298003072   recall 0.5546633126934984
deviation 4/5   iterations 280/2000   F1 0.5403343023255813   accuracy 0.6863636363636364   precision 0.6119815668202765   recall 0.5543449090225967
deviation 4/5   iterations 290/2000   F1 0.5142649634724655   accuracy 0.6329545454545454   precision 0.6104761904761905   recall 0.5489651416122004
deviation 4/5   iterations 300/2000   F1 0.5692646390198377   accuracy 0.7443181818181818   precision 0.6160675883256529   recall 0.566269540568606
deviation 4/5   iterations 310/2000   F1 0.5469311985149089   accuracy 0.6772727272727272   precision 0.6397542242703533   recall 0.5650485325828943
deviation 4/5   iterations 320/2000   F1 0.571864371121007   accuracy 0.7477272727272727   precision 0.6180030721966205   recall 0.568026126566496
deviation 4/5   iterations 330/2000   F1 0.5613646433318564   accuracy 0.7545454545454545   precision 0.5930568356374808   recall 0.557542230564062
deviation 4/5   iterations 340/2000   F1 0.539397676813241   accuracy 0.6875   precision 0.608509984639017   recall 0.5529681351377291
deviation 4/5   iterations 350/2000   F1 0.5506634694312843   accuracy 0.7306818181818182   precision 0.5918586789554532   recall 0.5517960586490757
deviation 4/5   iterations 360/2000   F1 0.548492268124931   accuracy 0.7306818181818182   precision 0.587741935483871   recall 0.5497824631860777
deviation 4/5   iterations 370/2000   F1 0.5804442895553958   accuracy 0.7761363636363636   precision 0.609431643625192   recall 0.5724903129171958
deviation 4/5   iterations 380/2000   F1 0.5468417902850928   accuracy 0.7056818181818182   precision 0.6064823348694317   recall 0.5544954843903298
deviation 4/5   iterations 390/2000   F1 0.5947368421052632   accuracy 0.8090909090909091   precision 0.6075576036866359   recall 0.5870246085011186
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deviation 4/5   iterations 400/2000   F1 0.5841334793855971   accuracy 0.803409090909091   precision 0.5960983102918587   recall 0.5772849462365591
deviation 4/5   iterations 410/2000   F1 0.5839109797188737   accuracy 0.7659090909090909   precision 0.6242089093701997   recall 0.5762306642230619
deviation 4/5   iterations 420/2000   F1 0.5703795855957217   accuracy 0.7761363636363636   precision 0.5929646697388633   recall 0.5638267355134825
deviation 4/5   iterations 430/2000   F1 0.5719067144019674   accuracy 0.7534090909090909   precision 0.6129953917050691   recall 0.567138351003242
deviation 4/5   iterations 440/2000   F1 0.5747412141683539   accuracy 0.7784090909090909   precision 0.5983717357910906   recall 0.5675390638182984
deviation 4/5   iterations 450/2000   F1 0.5784710402674305   accuracy 0.7863636363636364   precision 0.5987711213517666   recall 0.570808115513034
deviation 4/5   iterations 460/2000   F1 0.6056950185390553   accuracy 0.8181818181818182   precision 0.6168356374807988   recall 0.5981378833390105
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deviation 4/5   iterations 470/2000   F1 0.5888777910236169   accuracy 0.8022727272727272   precision 0.6036866359447004   recall 0.5809748654017792
deviation 4/5   iterations 480/2000   F1 0.588614573134697   accuracy 0.8193181818181818   precision 0.5927803379416283   recall 0.5851913702834447
deviation 4/5   iterations 490/2000   F1 0.590017825311943   accuracy 0.7909090909090909   precision 0.6137019969278034   recall 0.580709880581652
deviation 4/5   iterations 500/2000   F1 0.5761475583091641   accuracy 0.8420454545454545   precision 0.5686328725038402   recall 0.5892800051154166
deviation 4/5   iterations 510/2000   F1 0.6048877522023303   accuracy 0.8204545454545454   precision 0.6140092165898617   recall 0.5983046357615894
deviation 4/5   iterations 520/2000   F1 0.578934255193248   accuracy 0.8079545454545455   precision 0.5863287250384025   recall 0.5739442549787377
deviation 4/5   iterations 530/2000   F1 0.5712339278368261   accuracy 0.8102272727272727   precision 0.5752688172043011   recall 0.568119133413408
deviation 4/5   iterations 540/2000   F1 0.5840562302593532   accuracy 0.8068181818181818   precision 0.5939170506912442   recall 0.5778901130260194
deviation 4/5   iterations 550/2000   F1 0.5743974359899807   accuracy 0.7715909090909091   precision 0.6027342549923195   recall 0.5674715909090909
deviation 4/5   iterations 560/2000   F1 0.5798806479113384   accuracy 0.8090909090909091   precision 0.586973886328725   recall 0.5749933774834437
deviation 4/5   iterations 570/2000   F1 0.5876464323748668   accuracy 0.8375   precision 0.5825192012288787   recall 0.5944444444444444
deviation 4/5   iterations 580/2000   F1 0.5808758285923066   accuracy 0.8340909090909091   precision 0.5764669738863287   recall 0.5866655524450202
deviation 4/5   iterations 590/2000   F1 0.5747422680412371   accuracy 0.8227272727272728   precision 0.5741321044546851   recall 0.575377041396459
deviation 4/5   iterations 600/2000   F1 0.5820017931875736   accuracy 0.8079545454545455   precision 0.5904454685099847   recall 0.5764627659574468
deviation 4/5   iterations 610/2000   F1 0.5676498807744644   accuracy 0.7829545454545455   precision 0.5844854070660522   recall 0.561491538764266
deviation 4/5   iterations 620/2000   F1 0.5863825128809244   accuracy 0.8204545454545454   precision 0.5893087557603687   recall 0.5838515766519367
deviation 4/5   iterations 630/2000   F1 0.5948751357220412   accuracy 0.8193181818181818   precision 0.6010138248847926   recall 0.5901315789473685
deviation 4/5   iterations 640/2000   F1 0.5958891369047619   accuracy 0.8204545454545454   precision 0.6016589861751152   recall 0.5913492861007741
deviation 4/5   iterations 650/2000   F1 0.5917589191525058   accuracy 0.8340909090909091   precision 0.5888172043010753   recall 0.5951600373925294
deviation 4/5   iterations 660/2000   F1 0.5997176692024155   accuracy 0.8352272727272727   precision 0.5976958525345621   recall 0.6019230769230769
deviation 4/5   iterations 670/2000   F1 0.5893730714231955   accuracy 0.8238636363636364   precision 0.5912442396313364   recall 0.5876623376623377
deviation 4/5   iterations 680/2000   F1 0.5918299246860808   accuracy 0.8420454545454545   precision 0.585099846390169   recall 0.6014146798664401
deviation 4/5   iterations 690/2000   F1 0.5988238857663865   accuracy 0.8306818181818182   precision 0.599231950844854   recall 0.5984227975232802
deviation 4/5   iterations 700/2000   F1 0.5786077927314884   accuracy 0.8272727272727273   precision 0.5767127496159754   recall 0.58073694693413
deviation 4/5   iterations 710/2000   F1 0.585061237320308   accuracy 0.8227272727272728   precision 0.5864823348694317   recall 0.5837408822094504
deviation 4/5   iterations 720/2000   F1 0.5873739289372848   accuracy 0.821590909090909   precision 0.5899539170506912   recall 0.5851004464285714
deviation 4/5   iterations 730/2000   F1 0.5788874662114099   accuracy 0.8318181818181818   precision 0.5751766513056835   recall 0.5835826809307155
deviation 4/5   iterations 740/2000   F1 0.6017886905514755   accuracy 0.8170454545454545   precision 0.6120737327188941   recall 0.5947473404255319
deviation 4/5   iterations 750/2000   F1 0.5811752848623982   accuracy 0.8261363636363637   precision 0.580184331797235   recall 0.5822244064721004
deviation 4/5   iterations 760/2000   F1 0.5934136151388547   accuracy 0.8397727272727272   precision 0.587926267281106   recall 0.600632911392405
deviation 4/5   iterations 770/2000   F1 0.590724868779483   accuracy 0.8329545454545455   precision 0.5881720430107527   recall 0.5936244062842528
deviation 4/5   iterations 780/2000   F1 0.6063309642623116   accuracy 0.8386363636363636   precision 0.6037480798771121   recall 0.6091904965144401
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deviation 4/5   iterations 790/2000   F1 0.5955441075815641   accuracy 0.8420454545454545   precision 0.5892165898617512   recall 0.6041666666666666
deviation 4/5   iterations 800/2000   F1 0.5922779922779923   accuracy 0.8465909090909091   precision 0.5835637480798771   recall 0.60625
deviation 4/5   iterations 810/2000   F1 0.5927787345212573   accuracy 0.8204545454545454   precision 0.5975422427035331   recall 0.5889146531348366
deviation 4/5   iterations 820/2000   F1 0.5988678405224047   accuracy 0.8534090909090909   precision 0.5874347158218126   recall 0.6192911273556434
deviation 4/5   iterations 830/2000   F1 0.5987931612470666   accuracy 0.8454545454545455   precision 0.5911520737327189   recall 0.6097669256381798
deviation 4/5   iterations 840/2000   F1 0.5885663707970634   accuracy 0.8511363636363637   precision 0.577910906298003   recall 0.6089796479647964
deviation 4/5   iterations 850/2000   F1 0.5994871794871794   accuracy 0.8386363636363636   precision 0.5955145929339478   recall 0.6042239356352666
deviation 4/5   iterations 860/2000   F1 0.5780441640378549   accuracy 0.8488636363636364   precision 0.5683870967741935   recall 0.5981481481481481
deviation 4/5   iterations 870/2000   F1 0.5720068999541637   accuracy 0.8420454545454545   precision 0.5645161290322581   recall 0.5859190887666929
deviation 4/5   iterations 880/2000   F1 0.5876464323748668   accuracy 0.8375   precision 0.5825192012288787   recall 0.5944444444444444
deviation 4/5   iterations 890/2000   F1 0.5928930606771706   accuracy 0.8431818181818181   precision 0.5857450076804915   recall 0.6032556418793933
deviation 4/5   iterations 900/2000   F1 0.5970264134766216   accuracy 0.8397727272727272   precision 0.5920430107526882   recall 0.6033160450231737
deviation 4/5   iterations 910/2000   F1 0.5933568748620613   accuracy 0.8477272727272728   precision 0.5842089093701996   recall 0.6082902700738002
deviation 4/5   iterations 920/2000   F1 0.5853727144866385   accuracy 0.8477272727272728   precision 0.5759754224270353   recall 0.6024016563146998
deviation 4/5   iterations 930/2000   F1 0.5939633368022929   accuracy 0.8443181818181819   precision 0.5863901689708142   recall 0.6051387891840153
deviation 4/5   iterations 940/2000   F1 0.5918308185125596   accuracy 0.8545454545454545   precision 0.5798463901689708   recall 0.6161117961364571
deviation 4/5   iterations 950/2000   F1 0.5959595959595959   accuracy 0.8386363636363636   precision 0.5913978494623656   recall 0.6016176852345234
deviation 4/5   iterations 960/2000   F1 0.588344750875807   accuracy 0.8465909090909091   precision 0.5794470046082949   recall 0.6033474007289469
deviation 4/5   iterations 970/2000   F1 0.5845781761274719   accuracy 0.8340909090909091   precision 0.5805837173579109   recall 0.5895943490319848
deviation 4/5   iterations 980/2000   F1 0.5904814222583004   accuracy 0.8488636363636364   precision 0.5807373271889401   recall 0.6075216025137471
deviation 4/5   iterations 990/2000   F1 0.5864296340269752   accuracy 0.8488636363636364   precision 0.5766205837173579   recall 0.6045369190530481
deviation 4/5   iterations 1000/2000   F1 0.5901424778430127   accuracy 0.8443181818181819   precision 0.5822734254992319   recall 0.6023137111070359
deviation 4/5   iterations 1010/2000   F1 0.5822461545924855   accuracy 0.8443181818181819   precision 0.5740399385560676   recall 0.5963137029221818
deviation 4/5   iterations 1020/2000   F1 0.5912065691136889   accuracy 0.8454545454545455   precision 0.5829185867895545   recall 0.6042584094315425
deviation 4/5   iterations 1030/2000   F1 0.5712569594501616   accuracy 0.8511363636363637   precision 0.5614439324116743   recall 0.5957414215686274
deviation 4/5   iterations 1040/2000   F1 0.5859569739621394   accuracy 0.8397727272727272   precision 0.5796927803379416   recall 0.5949710034561537
deviation 4/5   iterations 1050/2000   F1 0.5841591563516697   accuracy 0.8420454545454545   precision 0.5768663594470046   recall 0.5955895837153861
deviation 4/5   iterations 1060/2000   F1 0.5894093232496275   accuracy 0.8477272727272728   precision 0.5800921658986176   recall 0.6054082903397973
deviation 4/5   iterations 1070/2000   F1 0.5915611814345992   accuracy 0.85   precision 0.5813824884792627   recall 0.6096894409937889
deviation 4/5   iterations 1080/2000   F1 0.5922779922779923   accuracy 0.8465909090909091   precision 0.5835637480798771   recall 0.60625
deviation 4/5   iterations 1090/2000   F1 0.5833333333333334   accuracy 0.85   precision 0.5731490015360983   recall 0.6036316788244921
deviation 4/5   iterations 1100/2000   F1 0.5822461545924855   accuracy 0.8443181818181819   precision 0.5740399385560676   recall 0.5963137029221818
deviation 4/5   iterations 1110/2000   F1 0.5810928595373785   accuracy 0.8386363636363636   precision 0.5749308755760368   recall 0.5902330743618203
deviation 4/5   iterations 1120/2000   F1 0.5790755315910772   accuracy 0.85   precision 0.5690322580645162   recall 0.6003859968905806
deviation 4/5   iterations 1130/2000   F1 0.5618300041005213   accuracy 0.8454545454545455   precision 0.5541013824884793   recall 0.5808228231536047
deviation 4/5   iterations 1140/2000   F1 0.5874941405417691   accuracy 0.85   precision 0.5772657450076805   recall 0.6067287942829013
deviation 4/5   iterations 1150/2000   F1 0.5707070707070707   accuracy 0.8454545454545455   precision 0.5623348694316437   recall 0.5883110778390989
deviation 4/5   iterations 1160/2000   F1 0.5812182741116751   accuracy 0.8431818181818181   precision 0.5733947772657451   recall 0.5943836027750122
deviation 4/5   iterations 1170/2000   F1 0.5862376662376663   accuracy 0.8443181818181819   precision 0.5781566820276498   recall 0.599375
deviation 4/5   iterations 1180/2000   F1 0.5950408748849547   accuracy 0.8454545454545455   precision 0.5870353302611366   recall 0.6070656528245983
deviation 4/5   iterations 1190/2000   F1 0.5663202446695945   accuracy 0.8454545454545455   precision 0.5582181259600614   recall 0.5846601976447041
deviation 4/5   iterations 1200/2000   F1 0.5821082517454255   accuracy 0.8397727272727272   precision 0.5755760368663595   recall 0.5919777458722182
deviation 4/5   iterations 1210/2000   F1 0.5729957805907173   accuracy 0.8431818181818181   precision 0.5651612903225807   recall 0.5878260869565217
deviation 4/5   iterations 1220/2000   F1 0.5747173569210943   accuracy 0.85   precision 0.5649155145929339   recall 0.596978208588056
deviation 4/5   iterations 1230/2000   F1 0.5771750311298793   accuracy 0.8386363636363636   precision 0.5708141321044546   recall 0.5871113059515352
deviation 4/5   iterations 1240/2000   F1 0.575148973736482   accuracy 0.8409090909090909   precision 0.5679877112135177   recall 0.5874302691256182
deviation 4/5   iterations 1250/2000   F1 0.5749939629824287   accuracy 0.8454545454545455   precision 0.5664516129032258   recall 0.5917910067729286
deviation 4/5   iterations 1260/2000   F1 0.5757381706836842   accuracy 0.8511363636363637   precision 0.5655606758832565   recall 0.5993038493038493
deviation 4/5   iterations 1270/2000   F1 0.5634406529831436   accuracy 0.8420454545454545   precision 0.5562826420890937   recall 0.5787266226622663
deviation 4/5   iterations 1280/2000   F1 0.5722660923665949   accuracy 0.8522727272727273   precision 0.5620890937019969   recall 0.5981620718462823
deviation 4/5   iterations 1290/2000   F1 0.5781758348603268   accuracy 0.8397727272727272   precision 0.5714592933947773   recall 0.5888654563237361
deviation 4/5   iterations 1300/2000   F1 0.5853727144866385   accuracy 0.8477272727272728   precision 0.5759754224270353   recall 0.6024016563146998
deviation 4/5   iterations 1310/2000   F1 0.5741570141570141   accuracy 0.8397727272727272   precision 0.5673425499231951   recall 0.5856250000000001
deviation 4/5   iterations 1320/2000   F1 0.5700489620258428   accuracy 0.8397727272727272   precision 0.5632258064516129   recall 0.5822463073086515
deviation 4/5   iterations 1330/2000   F1 0.5664465613644104   accuracy 0.8306818181818182   precision 0.5621812596006144   recall 0.5726010101010102
deviation 4/5   iterations 1340/2000   F1 0.5854531750518184   accuracy 0.8522727272727273   precision 0.5744393241167435   recall 0.6082488965135189
deviation 4/5   iterations 1350/2000   F1 0.5790755315910772   accuracy 0.85   precision 0.5690322580645162   recall 0.6003859968905806
deviation 4/5   iterations 1360/2000   F1 0.5700489620258428   accuracy 0.8397727272727272   precision 0.5632258064516129   recall 0.5822463073086515
deviation 4/5   iterations 1370/2000   F1 0.5739914275315461   accuracy 0.8443181818181819   precision 0.5658064516129032   recall 0.5897827107504527
deviation 4/5   iterations 1380/2000   F1 0.5648882090267154   accuracy 0.8545454545454545   precision 0.5551459293394777   recall 0.5956598665558185
deviation 4/5   iterations 1390/2000   F1 0.5812440517620989   accuracy 0.8477272727272728   precision 0.5718586789554532   recall 0.599259900527915
deviation 4/5   iterations 1400/2000   F1 0.5894093232496275   accuracy 0.8477272727272728   precision 0.5800921658986176   recall 0.6054082903397973
deviation 4/5   iterations 1410/2000   F1 0.5600512722201547   accuracy 0.8488636363636364   precision 0.5519201228878649   recall 0.5833070431422036
deviation 4/5   iterations 1420/2000   F1 0.5781650740555425   accuracy 0.8443181818181819   precision 0.5699231950844854   recall 0.5931199266823777
deviation 4/5   iterations 1430/2000   F1 0.5726978881303358   accuracy 0.8477272727272728   precision 0.5636251920122888   recall 0.5925230972676424
deviation 4/5   iterations 1440/2000   F1 0.575148973736482   accuracy 0.8409090909090909   precision 0.5679877112135177   recall 0.5874302691256182
deviation 4/5   iterations 1450/2000   F1 0.5706673940017901   accuracy 0.8556818181818182   precision 0.5599078341013825   recall 0.6022527057639063
deviation 4/5   iterations 1460/2000   F1 0.5687438742027586   accuracy 0.8431818181818181   precision 0.5610445468509985   recall 0.5843221130179423
deviation 4/5   iterations 1470/2000   F1 0.5758466473869688   accuracy 0.8613636363636363   precision 0.5631336405529954   recall 0.6172115625926855
deviation 4/5   iterations 1480/2000   F1 0.5802105307792607   accuracy 0.8465909090909091   precision 0.5712135176651305   recall 0.5971598149017504
deviation 4/5   iterations 1490/2000   F1 0.5894093232496275   accuracy 0.8477272727272728   precision 0.5800921658986176   recall 0.6054082903397973
deviation 4/5   iterations 1500/2000   F1 0.5885663707970634   accuracy 0.8511363636363637   precision 0.577910906298003   recall 0.6089796479647964
deviation 4/5   iterations 1510/2000   F1 0.5580808080808081   accuracy 0.8409090909090909   precision 0.551520737327189   recall 0.5729904768537057
deviation 4/5   iterations 1520/2000   F1 0.5757381706836842   accuracy 0.8511363636363637   precision 0.5655606758832565   recall 0.5993038493038493
deviation 4/5   iterations 1530/2000   F1 0.5864296340269752   accuracy 0.8488636363636364   precision 0.5766205837173579   recall 0.6045369190530481
deviation 4/5   iterations 1540/2000   F1 0.5726978881303358   accuracy 0.8477272727272728   precision 0.5636251920122888   recall 0.5925230972676424
deviation 4/5   iterations 1550/2000   F1 0.5672935083099315   accuracy 0.8465909090909091   precision 0.558863287250384   recall 0.5867502173283106
deviation 4/5   iterations 1560/2000   F1 0.5681166881166881   accuracy 0.8375   precision 0.5619354838709677   recall 0.57875
deviation 4/5   iterations 1570/2000   F1 0.5609662200118637   accuracy 0.8556818181818182   precision 0.5516743471582182   recall 0.594274056138463
deviation 4/5   iterations 1580/2000   F1 0.5726978881303358   accuracy 0.8477272727272728   precision 0.5636251920122888   recall 0.5925230972676424
deviation 4/5   iterations 1590/2000   F1 0.5540523022167749   accuracy 0.8534090909090909   precision 0.5462672811059908   recall 0.5844094700026903
deviation 4/5   iterations 1600/2000   F1 0.5587682279697489   accuracy 0.8363636363636363   precision 0.5530568356374808   recall 0.5698274328411315
deviation 4/5   iterations 1610/2000   F1 0.5647112641745916   accuracy 0.8488636363636364   precision 0.556036866359447   recall 0.5873161764705883
deviation 4/5   iterations 1620/2000   F1 0.5572327044025157   accuracy 0.8454545454545455   precision 0.5499846390168971   recall 0.576781500707881
deviation 4/5   iterations 1630/2000   F1 0.5608830417663749   accuracy 0.8443181818181819   precision 0.5534562211981566   recall 0.5787815126050421
deviation 4/5   iterations 1640/2000   F1 0.5629317195427593   accuracy 0.8522727272727273   precision 0.5538556067588326   recall 0.5904746175602305
deviation 4/5   iterations 1650/2000   F1 0.5544725752228183   accuracy 0.8420454545454545   precision 0.5480491551459293   recall 0.5708128078817734
deviation 4/5   iterations 1660/2000   F1 0.5707070707070707   accuracy 0.8454545454545455   precision 0.5623348694316437   recall 0.5883110778390989
deviation 4/5   iterations 1670/2000   F1 0.5811610333313807   accuracy 0.8522727272727273   precision 0.5703225806451613   recall 0.6050559013052816
deviation 4/5   iterations 1680/2000   F1 0.575148973736482   accuracy 0.8409090909090909   precision 0.5679877112135177   recall 0.5874302691256182
deviation 4/5   iterations 1690/2000   F1 0.577020202020202   accuracy 0.8477272727272728   precision 0.567741935483871   recall 0.5959713783317955
deviation 4/5   iterations 1700/2000   F1 0.5832811041936516   accuracy 0.8454545454545455   precision 0.5746850998463902   recall 0.5982921188400641
deviation 4/5   iterations 1710/2000   F1 0.5739914275315461   accuracy 0.8443181818181819   precision 0.5658064516129032   recall 0.5897827107504527
deviation 4/5   iterations 1720/2000   F1 0.5648882090267154   accuracy 0.8545454545454545   precision 0.5551459293394777   recall 0.5956598665558185
deviation 4/5   iterations 1730/2000   F1 0.5851949010124196   accuracy 0.8431818181818181   precision 0.5775115207373271   recall 0.5974597876975849
deviation 4/5   iterations 1740/2000   F1 0.577020202020202   accuracy 0.8477272727272728   precision 0.567741935483871   recall 0.5959713783317955
deviation 4/5   iterations 1750/2000   F1 0.5791832329111503   accuracy 0.8409090909090909   precision 0.5721044546850999   recall 0.5906611659636274
deviation 4/5   iterations 1760/2000   F1 0.5722660923665949   accuracy 0.8522727272727273   precision 0.5620890937019969   recall 0.5981620718462823
deviation 4/5   iterations 1770/2000   F1 0.5712569594501616   accuracy 0.8511363636363637   precision 0.5614439324116743   recall 0.5957414215686274
deviation 4/5   iterations 1780/2000   F1 0.5737039748534881   accuracy 0.8488636363636364   precision 0.5642703533026114   recall 0.5947189220515793
deviation 4/5   iterations 1790/2000   F1 0.5599999999999999   accuracy 0.8545454545454545   precision 0.5510291858678955   recall 0.5915151515151515
deviation 4/5   iterations 1800/2000   F1 0.5658487258527847   accuracy 0.8397727272727272   precision 0.5591090629800307   recall 0.5787182508510081
deviation 4/5   iterations 1810/2000   F1 0.5619399800881809   accuracy 0.8568181818181818   precision 0.5523195084485407   recall 0.5971344482215784
deviation 4/5   iterations 1820/2000   F1 0.5876464323748668   accuracy 0.8375   precision 0.5825192012288787   recall 0.5944444444444444
deviation 4/5   iterations 1830/2000   F1 0.58170797339713   accuracy 0.8625   precision 0.5678955453149002   recall 0.6238678145457807
deviation 4/5   iterations 1840/2000   F1 0.5653537629562866   accuracy 0.8443181818181819   precision 0.5575729646697388   recall 0.5826278659611993
deviation 4/5   iterations 1850/2000   F1 0.5720068999541637   accuracy 0.8420454545454545   precision 0.5645161290322581   recall 0.5859190887666929
deviation 4/5   iterations 1860/2000   F1 0.5841591563516697   accuracy 0.8420454545454545   precision 0.5768663594470046   recall 0.5955895837153861
deviation 4/5   iterations 1870/2000   F1 0.5822154505205746   accuracy 0.8534090909090909   precision 0.5709677419354838   recall 0.6074938574938575
deviation 4/5   iterations 1880/2000   F1 0.572192513368984   accuracy 0.8375   precision 0.5660522273425499   recall 0.5821413289320863
deviation 4/5   iterations 1890/2000   F1 0.5864296340269752   accuracy 0.8488636363636364   precision 0.5766205837173579   recall 0.6045369190530481
deviation 4/5   iterations 1900/2000   F1 0.5812440517620989   accuracy 0.8477272727272728   precision 0.5718586789554532   recall 0.599259900527915
deviation 4/5   iterations 1910/2000   F1 0.574211072514257   accuracy 0.8352272727272727   precision 0.5688786482334869   recall 0.5820836506355808
deviation 4/5   iterations 1920/2000   F1 0.5637439881613022   accuracy 0.8477272727272728   precision 0.5553917050691244   recall 0.5850873053327041
deviation 4/5   iterations 1930/2000   F1 0.5677723242838313   accuracy 0.8420454545454545   precision 0.5603993855606759   recall 0.582405606599155
deviation 4/5   iterations 1940/2000   F1 0.569260890846794   accuracy 0.8488636363636364   precision 0.5601536098310291   recall 0.5911138411138411
deviation 4/5   iterations 1950/2000   F1 0.5800840232381983   accuracy 0.8375   precision 0.5742857142857143   recall 0.5885273270458673
deviation 4/5   iterations 1960/2000   F1 0.5699146902106321   accuracy 0.8602272727272727   precision 0.5583717357910907   recall 0.6103214418431809
deviation 4/5   iterations 1970/2000   F1 0.5671598967086118   accuracy 0.8363636363636363   precision 0.5612903225806452   recall 0.5770639224957123
deviation 4/5   iterations 1980/2000   F1 0.5639062506002436   accuracy 0.8534090909090909   precision 0.5545007680491552   recall 0.5930237436026512
deviation 4/5   iterations 1990/2000   F1 0.5767665556788752   accuracy 0.8522727272727273   precision 0.5662058371735791   recall 0.6016989145823501
deviation 4/5   iterations 2000/2000   F1 0.5811610333313807   accuracy 0.8522727272727273   precision 0.5703225806451613   recall 0.6050559013052816

deviation 5/5   iterations 10/2000   F1 0.5495317534659164   accuracy 0.7261363636363637   precision 0.593394777265745   recall 0.5517203832752613
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deviation 5/5   iterations 20/2000   F1 0.13805729894962765   accuracy 0.14431818181818182   precision 0.49772657450076807   recall 0.4927450980392157
deviation 5/5   iterations 30/2000   F1 0.42699724517906334   accuracy 0.48295454545454547   precision 0.5829493087557603   recall 0.5355263157894736
deviation 5/5   iterations 40/2000   F1 0.41556407339699897   accuracy 0.45795454545454545   precision 0.6016897081413211   recall 0.5449738037783429
deviation 5/5   iterations 50/2000   F1 0.4958382434452916   accuracy 0.5806818181818182   precision 0.6384331797235023   recall 0.5583908689432108
deviation 5/5   iterations 60/2000   F1 0.5536653542123772   accuracy 0.6931818181818182   precision 0.6364362519201229   recall 0.5657143195364336
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deviation 5/5   iterations 70/2000   F1 0.5248566716406188   accuracy 0.625   precision 0.6553609831029186   recall 0.5669485646503105
deviation 5/5   iterations 80/2000   F1 0.45873832666285497   accuracy 0.5159090909090909   precision 0.6387096774193548   recall 0.5590353506032981
deviation 5/5   iterations 90/2000   F1 0.5273174815428961   accuracy 0.6215909090909091   precision 0.6698924731182796   recall 0.5726728905149393
deviation 5/5   iterations 100/2000   F1 0.5228540445067825   accuracy 0.6204545454545455   precision 0.6568970814132105   recall 0.5673281267303342
deviation 5/5   iterations 110/2000   F1 0.602728731942215   accuracy 0.7545454545454545   precision 0.6753917050691244   recall 0.5952014087607308
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deviation 5/5   iterations 120/2000   F1 0.4972841859584166   accuracy 0.575   precision 0.6557910906298003   recall 0.5655239069873217
deviation 5/5   iterations 130/2000   F1 0.47271499331224703   accuracy 0.5352272727272728   precision 0.6496774193548387   recall 0.5632477567298105
deviation 5/5   iterations 140/2000   F1 0.5743679789818782   accuracy 0.7079545454545455   precision 0.6695238095238095   recall 0.581803410896843
deviation 5/5   iterations 150/2000   F1 0.5922371916054464   accuracy 0.7579545454545454   precision 0.6485099846390169   recall 0.5847927366618956
deviation 5/5   iterations 160/2000   F1 0.5818164389540516   accuracy 0.7352272727272727   precision 0.6520737327188939   recall 0.5801510401823882
deviation 5/5   iterations 170/2000   F1 0.5832616540801119   accuracy 0.7215909090909091   precision 0.6731490015360984   recall 0.5859062530484831
deviation 5/5   iterations 180/2000   F1 0.5292722632657152   accuracy 0.6329545454545454   precision 0.6557603686635944   recall 0.5675942319588728
deviation 5/5   iterations 190/2000   F1 0.5738531545935309   accuracy 0.7136363636363636   precision 0.6603993855606759   recall 0.5790873672283521
deviation 5/5   iterations 200/2000   F1 0.6152358191461842   accuracy 0.7829545454545455   precision 0.6668202764976958   recall 0.6020032460701512
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deviation 5/5   iterations 210/2000   F1 0.5853841912686081   accuracy 0.7329545454545454   precision 0.6631336405529954   recall 0.5842857142857143
deviation 5/5   iterations 220/2000   F1 0.5574824775861218   accuracy 0.6875   precision 0.653794162826421   recall 0.5721591826379759
deviation 5/5   iterations 230/2000   F1 0.56   accuracy 0.6909090909090909   precision 0.6557296466973886   recall 0.5734318412284514
deviation 5/5   iterations 240/2000   F1 0.5843365436062065   accuracy 0.7431818181818182   precision 0.6483563748079877   recall 0.5805268178149534
deviation 5/5   iterations 250/2000   F1 0.5748301648374218   accuracy 0.7193181818181819   precision 0.6553917050691245   recall 0.5780960498036019
deviation 5/5   iterations 260/2000   F1 0.5728960275904598   accuracy 0.7102272727272727   precision 0.6625806451612903   recall 0.5793622228620788
deviation 5/5   iterations 270/2000   F1 0.4711467834773435   accuracy 0.5397727272727273   precision 0.6316743471582181   recall 0.5554388542809248
deviation 5/5   iterations 280/2000   F1 0.5642440433092819   accuracy 0.7295454545454545   precision 0.6200307219662058   recall 0.5647922733514206
deviation 5/5   iterations 290/2000   F1 0.5972301603747162   accuracy 0.7715909090909091   precision 0.6439016897081413   recall 0.5873463420455902
deviation 5/5   iterations 300/2000   F1 0.5738059329072129   accuracy 0.7011363636363637   precision 0.6780030721966206   recall 0.5840762926330941
deviation 5/5   iterations 310/2000   F1 0.5910621533333791   accuracy 0.7693181818181818   precision 0.6343778801843318   recall 0.5821661507018123
deviation 5/5   iterations 320/2000   F1 0.5611760817273247   accuracy 0.7034090909090909   precision 0.642242703533026   recall 0.5697104381971043
deviation 5/5   iterations 330/2000   F1 0.5786905566085377   accuracy 0.7511363636363636   precision 0.6281720430107527   recall 0.5736498700711784
deviation 5/5   iterations 340/2000   F1 0.5687972158560393   accuracy 0.7113636363636363   precision 0.6508755760368663   recall 0.5746992863183641
deviation 5/5   iterations 350/2000   F1 0.6017760055614946   accuracy 0.7647727272727273   precision 0.6606144393241167   recall 0.5922918314314767
deviation 5/5   iterations 360/2000   F1 0.5824340099604437   accuracy 0.7431818181818182   precision 0.6442396313364055   recall 0.5787334232185619
deviation 5/5   iterations 370/2000   F1 0.5969311805794114   accuracy 0.7818181818181819   precision 0.6332411674347158   recall 0.5864088811673667
deviation 5/5   iterations 380/2000   F1 0.5931576514100786   accuracy 0.759090909090909   precision 0.6491551459293394   recall 0.5854326357947787
deviation 5/5   iterations 390/2000   F1 0.6007722007722007   accuracy 0.7863636363636364   precision 0.6358218125960061   recall 0.5895845997973658
deviation 5/5   iterations 400/2000   F1 0.6024137139829355   accuracy 0.7829545454545455   precision 0.6421198156682028   recall 0.5910371863093926
deviation 5/5   iterations 410/2000   F1 0.5980247619171326   accuracy 0.7602272727272728   precision 0.6580337941628265   recall 0.5896642124051763
deviation 5/5   iterations 420/2000   F1 0.5920689844565277   accuracy 0.7602272727272728   precision 0.6456835637480799   recall 0.5842572850035537
deviation 5/5   iterations 430/2000   F1 0.5995256360534533   accuracy 0.7693181818181818   precision 0.6508448540706605   recall 0.5896273255644149
deviation 5/5   iterations 440/2000   F1 0.5960300773969648   accuracy 0.7727272727272727   precision 0.6404301075268817   recall 0.5861860910619876
deviation 5/5   iterations 450/2000   F1 0.5960659503697145   accuracy 0.7602272727272728   precision 0.6539170506912442   recall 0.5878799360107771
deviation 5/5   iterations 460/2000   F1 0.5992067633858678   accuracy 0.7818181818181819   precision 0.637357910906298   recall 0.5883464143725448
deviation 5/5   iterations 470/2000   F1 0.5960173694469322   accuracy 0.7920454545454545   precision 0.6225806451612903   recall 0.585757763334365
deviation 5/5   iterations 480/2000   F1 0.5975142928163062   accuracy 0.7909090909090909   precision 0.62605222734255   recall 0.5869463869463869
deviation 5/5   iterations 490/2000   F1 0.5975142928163062   accuracy 0.7909090909090909   precision 0.62605222734255   recall 0.5869463869463869
deviation 5/5   iterations 500/2000   F1 0.5933978489103371   accuracy 0.7545454545454545   precision 0.6548079877112135   recall 0.5864981220689514
deviation 5/5   iterations 510/2000   F1 0.6131743500164553   accuracy 0.7829545454545455   precision 0.6627035330261137   recall 0.6002301356589147
deviation 5/5   iterations 520/2000   F1 0.6044177203705078   accuracy 0.7522727272727273   precision 0.6823348694316436   recall 0.5973646737668235
deviation 5/5   iterations 530/2000   F1 0.6031489862397816   accuracy 0.7761363636363636   precision 0.6505990783410138   recall 0.5920846983859818
deviation 5/5   iterations 540/2000   F1 0.6139039855072463   accuracy 0.7886363636363637   precision 0.6576958525345622   recall 0.6006068160970905
deviation 5/5   iterations 550/2000   F1 0.5851154019353106   accuracy 0.7465909090909091   precision 0.6461751152073733   recall 0.5804782008605992
deviation 5/5   iterations 560/2000   F1 0.5887646035297042   accuracy 0.7863636363636364   precision 0.6152380952380953   recall 0.5794871794871794
deviation 5/5   iterations 570/2000   F1 0.6072594177206985   accuracy 0.7965909090909091   precision 0.6375115207373272   recall 0.5952956806104375
deviation 5/5   iterations 580/2000   F1 0.6209915031132434   accuracy 0.8284090909090909   precision 0.6308755760368664   recall 0.6136072708653354
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deviation 5/5   iterations 590/2000   F1 0.6166288635744018   accuracy 0.8238636363636364   precision 0.6282949308755761   recall 0.6084607712765957
deviation 5/5   iterations 600/2000   F1 0.6048475908797861   accuracy 0.7965909090909091   precision 0.633394777265745   recall 0.5933233605007049
deviation 5/5   iterations 610/2000   F1 0.6033643011481129   accuracy 0.8125   precision 0.6177265745007681   recall 0.5946790006325111
deviation 5/5   iterations 620/2000   F1 0.592883122592584   accuracy 0.7943181818181818   precision 0.6156374807987711   recall 0.5833156254426972
deviation 5/5   iterations 630/2000   F1 0.6206438708119946   accuracy 0.8011363636363636   precision 0.6565591397849462   recall 0.6065074906367042
deviation 5/5   iterations 640/2000   F1 0.6085235108323324   accuracy 0.8181818181818182   precision 0.6209523809523809   recall 0.6003118662032838
deviation 5/5   iterations 650/2000   F1 0.6135144461523983   accuracy 0.8090909090909091   precision 0.6363748079877112   recall 0.6018876412747087
deviation 5/5   iterations 660/2000   F1 0.5984427033272168   accuracy 0.7863636363636364   precision 0.6317050691244239   recall 0.5876249887581656
deviation 5/5   iterations 670/2000   F1 0.5770967862341831   accuracy 0.7659090909090909   precision 0.6118586789554532   recall 0.5702402172990408
deviation 5/5   iterations 680/2000   F1 0.6074813478837847   accuracy 0.8170454545454545   precision 0.6203072196620584   recall 0.5991532976827094
deviation 5/5   iterations 690/2000   F1 0.6152587766920015   accuracy 0.8284090909090909   precision 0.622642089093702   recall 0.6094298245614036
deviation 5/5   iterations 700/2000   F1 0.5988663614562895   accuracy 0.8170454545454545   precision 0.6079569892473118   recall 0.5924697907456529
deviation 5/5   iterations 710/2000   F1 0.6160357435816883   accuracy 0.8011363636363636   precision 0.6483256528417819   recall 0.6027898896307399
deviation 5/5   iterations 720/2000   F1 0.6003261800803064   accuracy 0.8   precision 0.6229800307219662   recall 0.589970421914754
deviation 5/5   iterations 730/2000   F1 0.6104289475523661   accuracy 0.8056818181818182   precision 0.6344393241167434   recall 0.598864950838635
deviation 5/5   iterations 740/2000   F1 0.6033018763348286   accuracy 0.7920454545454545   precision 0.6349308755760369   recall 0.5917937399678973
deviation 5/5   iterations 750/2000   F1 0.6068816489361701   accuracy 0.8045454545454546   precision 0.6296774193548387   recall 0.5958629711389093
deviation 5/5   iterations 760/2000   F1 0.614602707729573   accuracy 0.8159090909090909   precision 0.6320122887864823   recall 0.6042971290983408
deviation 5/5   iterations 770/2000   F1 0.6088501464272017   accuracy 0.8011363636363636   precision 0.6359754224270353   recall 0.5969967390160945
deviation 5/5   iterations 780/2000   F1 0.61875297350886   accuracy 0.8147727272727273   precision 0.639600614439324   recall 0.6071859903381642
deviation 5/5   iterations 790/2000   F1 0.6113031283472654   accuracy 0.8181818181818182   precision 0.6250691244239631   recall 0.6024398345260742
deviation 5/5   iterations 800/2000   F1 0.610254209546131   accuracy 0.8170454545454545   precision 0.6244239631336406   recall 0.6012864631267256
deviation 5/5   iterations 810/2000   F1 0.609479946267511   accuracy 0.8318181818181818   precision 0.6122273425499232   recall 0.6069893039984067
deviation 5/5   iterations 820/2000   F1 0.6130331125827815   accuracy 0.8113636363636364   precision 0.6335483870967742   recall 0.6019704433497537
deviation 5/5   iterations 830/2000   F1 0.604202648244099   accuracy 0.8295454545454546   precision 0.6068202764976959   recall 0.6018346044353847
deviation 5/5   iterations 840/2000   F1 0.6088324145878103   accuracy 0.821590909090909   precision 0.6187711213517665   recall 0.6017325586291103
deviation 5/5   iterations 850/2000   F1 0.6141731374969713   accuracy 0.8272727272727273   precision 0.6219969278033795   recall 0.6080967780572524
deviation 5/5   iterations 860/2000   F1 0.6166288635744018   accuracy 0.8238636363636364   precision 0.6282949308755761   recall 0.6084607712765957
deviation 5/5   iterations 870/2000   F1 0.6052388047996236   accuracy 0.8375   precision 0.6031029185867895   recall 0.6075641025641025
deviation 5/5   iterations 880/2000   F1 0.6152587766920015   accuracy 0.8284090909090909   precision 0.622642089093702   recall 0.6094298245614036
deviation 5/5   iterations 890/2000   F1 0.6199373347747986   accuracy 0.821590909090909   precision 0.6352380952380953   recall 0.6100896322676164
deviation 5/5   iterations 900/2000   F1 0.6129064234734338   accuracy 0.8386363636363636   precision 0.6119815668202765   recall 0.6138621284252352
deviation 5/5   iterations 910/2000   F1 0.6103896103896104   accuracy 0.8295454545454546   precision 0.6150537634408602   recall 0.6064222790565501
deviation 5/5   iterations 920/2000   F1 0.6129797120293707   accuracy 0.8170454545454545   precision 0.6285407066052227   recall 0.603376027830487
deviation 5/5   iterations 930/2000   F1 0.6073251704565736   accuracy 0.8295454545454546   precision 0.6109370199692781   recall 0.6041582536257802
deviation 5/5   iterations 940/2000   F1 0.6276403682975267   accuracy 0.8295454545454546   precision 0.6397542242703533   recall 0.6189206428877665
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deviation 5/5   iterations 950/2000   F1 0.6149786286214314   accuracy 0.8375   precision 0.6154531490015361   recall 0.6145117254156306
deviation 5/5   iterations 960/2000   F1 0.6116598759536217   accuracy 0.8340909090909091   precision 0.6135176651305684   recall 0.6099192041790121
deviation 5/5   iterations 970/2000   F1 0.6192287065477061   accuracy 0.8386363636363636   precision 0.6202150537634409   recall 0.6182732647410865
deviation 5/5   iterations 980/2000   F1 0.6113031283472654   accuracy 0.8181818181818182   precision 0.6250691244239631   recall 0.6024398345260742
deviation 5/5   iterations 990/2000   F1 0.6185667144407427   accuracy 0.8443181818181819   precision 0.6152073732718895   recall 0.622331541312177
deviation 5/5   iterations 1000/2000   F1 0.614757244290923   accuracy 0.8340909090909091   precision 0.6176344086021506   recall 0.6121440035614287
deviation 5/5   iterations 1010/2000   F1 0.6152587766920015   accuracy 0.8284090909090909   precision 0.622642089093702   recall 0.6094298245614036
deviation 5/5   iterations 1020/2000   F1 0.6105933623868589   accuracy 0.85   precision 0.6019662058371735   recall 0.6227894931557529
deviation 5/5   iterations 1030/2000   F1 0.6050669562070213   accuracy 0.8238636363636364   precision 0.6118279569892473   recall 0.599780701754386
deviation 5/5   iterations 1040/2000   F1 0.6183584456780333   accuracy 0.8409090909090909   precision 0.6173886328725039   recall 0.6193599980007747
deviation 5/5   iterations 1050/2000   F1 0.6127595133394637   accuracy 0.8352272727272727   precision 0.6141628264208909   recall 0.6114229514488582
deviation 5/5   iterations 1060/2000   F1 0.6117954460619635   accuracy 0.8375   precision 0.6113364055299539   recall 0.6122620935765266
deviation 5/5   iterations 1070/2000   F1 0.6141742256691056   accuracy 0.8465909090909091   precision 0.6082642089093702   recall 0.6215239461487531
deviation 5/5   iterations 1080/2000   F1 0.6185522323363676   accuracy 0.8318181818181818   precision 0.6245775729646698   recall 0.6135587144761456
deviation 5/5   iterations 1090/2000   F1 0.6096489968374932   accuracy 0.8420454545454545   precision 0.6056835637480799   recall 0.6142644557823129
deviation 5/5   iterations 1100/2000   F1 0.6158651313313765   accuracy 0.8352272727272727   precision 0.6182795698924731   recall 0.6136363636363636
deviation 5/5   iterations 1110/2000   F1 0.6117954460619635   accuracy 0.8375   precision 0.6113364055299539   recall 0.6122620935765266
deviation 5/5   iterations 1120/2000   F1 0.6074544012688343   accuracy 0.8363636363636363   precision 0.6065745007680492   recall 0.6083642588496958
deviation 5/5   iterations 1130/2000   F1 0.6031430781498727   accuracy 0.8284090909090909   precision 0.6061751152073733   recall 0.6004464285714286
deviation 5/5   iterations 1140/2000   F1 0.6164823461948062   accuracy 0.8488636363636364   precision 0.6095545314900154   recall 0.6253867791842476
deviation 5/5   iterations 1150/2000   F1 0.6140350877192983   accuracy 0.8181818181818182   precision 0.6291858678955453   recall 0.6045239870743226
deviation 5/5   iterations 1160/2000   F1 0.6256061004640951   accuracy 0.8511363636363637   precision 0.6190783410138249   recall 0.6336625468991393
deviation 5/5   iterations 1170/2000   F1 0.6166288635744018   accuracy 0.8238636363636364   precision 0.6282949308755761   recall 0.6084607712765957
deviation 5/5   iterations 1180/2000   F1 0.6172248803827751   accuracy 0.8397727272727272   precision 0.6167434715821812   recall 0.6177141157811261
deviation 5/5   iterations 1190/2000   F1 0.613031725707782   accuracy 0.8454545454545455   precision 0.6076190476190476   recall 0.6196526895383312
deviation 5/5   iterations 1200/2000   F1 0.6192498067404323   accuracy 0.8295454545454546   precision 0.6274039938556067   recall 0.6128877709905378
deviation 5/5   iterations 1210/2000   F1 0.6133975327733455   accuracy 0.8295454545454546   precision 0.6191705069124425   recall 0.6086299022078838
deviation 5/5   iterations 1220/2000   F1 0.613031725707782   accuracy 0.8454545454545455   precision 0.6076190476190476   recall 0.6196526895383312
deviation 5/5   iterations 1230/2000   F1 0.6123133119961721   accuracy 0.8284090909090909   precision 0.6185253456221198   recall 0.6072667823301748
deviation 5/5   iterations 1240/2000   F1 0.6129067186400303   accuracy 0.8522727272727273   precision 0.6032565284178187   recall 0.6270199996976614
deviation 5/5   iterations 1250/2000   F1 0.5946714834048318   accuracy 0.8261363636363637   precision 0.5966513056835637   recall 0.5928571428571429
deviation 5/5   iterations 1260/2000   F1 0.5997176692024155   accuracy 0.8352272727272727   precision 0.5976958525345621   recall 0.6019230769230769
deviation 5/5   iterations 1270/2000   F1 0.6116598759536217   accuracy 0.8340909090909091   precision 0.6135176651305684   recall 0.6099192041790121
deviation 5/5   iterations 1280/2000   F1 0.6149786286214314   accuracy 0.8375   precision 0.6154531490015361   recall 0.6145117254156306
deviation 5/5   iterations 1290/2000   F1 0.6197206370187724   accuracy 0.8454545454545455   precision 0.6158525345622119   recall 0.6241260812892523
deviation 5/5   iterations 1300/2000   F1 0.618100761431333   accuracy 0.8375   precision 0.6195698924731182   recall 0.6167002494722702
deviation 5/5   iterations 1310/2000   F1 0.6189122273624604   accuracy 0.8352272727272727   precision 0.6223963133640553   recall 0.6157924107142857
deviation 5/5   iterations 1320/2000   F1 0.6162810759940397   accuracy 0.8420454545454545   precision 0.6139170506912442   recall 0.6188461538461538
deviation 5/5   iterations 1330/2000   F1 0.6198901630666004   accuracy 0.8488636363636364   precision 0.6136712749615976   recall 0.6275932465239462
deviation 5/5   iterations 1340/2000   F1 0.6259740259740258   accuracy 0.8363636363636363   precision 0.6312749615975423   recall 0.6214265416311452
deviation 5/5   iterations 1350/2000   F1 0.6129983453084908   accuracy 0.8420454545454545   precision 0.609800307219662   recall 0.6165901143065922
deviation 5/5   iterations 1360/2000   F1 0.6172248803827751   accuracy 0.8397727272727272   precision 0.6167434715821812   recall 0.6177141157811261
deviation 5/5   iterations 1370/2000   F1 0.6246416537987177   accuracy 0.8534090909090909   precision 0.6162519201228879   recall 0.6357323232323233
deviation 5/5   iterations 1380/2000   F1 0.6116598759536217   accuracy 0.8340909090909091   precision 0.6135176651305684   recall 0.6099192041790121
deviation 5/5   iterations 1390/2000   F1 0.607429976176239   accuracy 0.8397727272727272   precision 0.6043932411674348   recall 0.6108486873010074
deviation 5/5   iterations 1400/2000   F1 0.5988238857663865   accuracy 0.8306818181818182   precision 0.599231950844854   recall 0.5984227975232802
deviation 5/5   iterations 1410/2000   F1 0.6105933623868589   accuracy 0.85   precision 0.6019662058371735   recall 0.6227894931557529
deviation 5/5   iterations 1420/2000   F1 0.5997176692024155   accuracy 0.8352272727272727   precision 0.5976958525345621   recall 0.6019230769230769
deviation 5/5   iterations 1430/2000   F1 0.6039381153305203   accuracy 0.8545454545454545   precision 0.5921966205837174   recall 0.6242650103519669
deviation 5/5   iterations 1440/2000   F1 0.618100761431333   accuracy 0.8375   precision 0.6195698924731182   recall 0.6167002494722702
deviation 5/5   iterations 1450/2000   F1 0.5933568748620613   accuracy 0.8477272727272728   precision 0.5842089093701996   recall 0.6082902700738002
deviation 5/5   iterations 1460/2000   F1 0.6074544012688343   accuracy 0.8363636363636363   precision 0.6065745007680492   recall 0.6083642588496958
deviation 5/5   iterations 1470/2000   F1 0.6095829636202307   accuracy 0.8454545454545455   precision 0.6035023041474654   recall 0.6173066477248986
deviation 5/5   iterations 1480/2000   F1 0.6089559445624372   accuracy 0.8556818181818182   precision 0.5969585253456221   recall 0.6291241162608012
deviation 5/5   iterations 1490/2000   F1 0.5975997834952452   accuracy 0.8329545454545455   precision 0.596405529953917   recall 0.5988583093905943
deviation 5/5   iterations 1500/2000   F1 0.5944753854458795   accuracy 0.8409090909090909   precision 0.5885714285714285   recall 0.6023807156351653
deviation 5/5   iterations 1510/2000   F1 0.6153243906258156   accuracy 0.8477272727272728   precision 0.6089093701996928   recall 0.6234348667808745
deviation 5/5   iterations 1520/2000   F1 0.6035758261339633   accuracy 0.8465909090909091   precision 0.5959139784946237   recall 0.614302032687013
deviation 5/5   iterations 1530/2000   F1 0.6208821192306587   accuracy 0.8465909090909091   precision 0.6164976958525346   recall 0.6259566326530612
deviation 5/5   iterations 1540/2000   F1 0.608458288271611   accuracy 0.8443181818181819   precision 0.6028571428571429   recall 0.6154546457735599
deviation 5/5   iterations 1550/2000   F1 0.6141581632653061   accuracy 0.85   precision 0.6060829493087557   recall 0.6251250163064748
deviation 5/5   iterations 1560/2000   F1 0.6203635429064464   accuracy 0.8397727272727272   precision 0.6208602150537634   recall 0.6198747013797474
deviation 5/5   iterations 1570/2000   F1 0.6129064234734338   accuracy 0.8386363636363636   precision 0.6119815668202765   recall 0.6138621284252352
deviation 5/5   iterations 1580/2000   F1 0.614757244290923   accuracy 0.8340909090909091   precision 0.6176344086021506   recall 0.6121440035614287
deviation 5/5   iterations 1590/2000   F1 0.6260424067910699   accuracy 0.8579545454545454   precision 0.614715821812596   recall 0.642658475456935
deviation 5/5   iterations 1600/2000   F1 0.6153217275818459   accuracy 0.8511363636363637   precision 0.6067281105990783   recall 0.627189385507586
deviation 5/5   iterations 1610/2000   F1 0.6197206370187724   accuracy 0.8454545454545455   precision 0.6158525345622119   recall 0.6241260812892523
deviation 5/5   iterations 1620/2000   F1 0.6153243906258156   accuracy 0.8477272727272728   precision 0.6089093701996928   recall 0.6234348667808745
deviation 5/5   iterations 1630/2000   F1 0.6258503401360545   accuracy 0.8545454545454545   precision 0.6168970814132104   recall 0.6378803032279572
deviation 5/5   iterations 1640/2000   F1 0.6241350835729946   accuracy 0.8465909090909091   precision 0.6206144393241168   recall 0.6280729683177619
deviation 5/5   iterations 1650/2000   F1 0.6141581632653061   accuracy 0.85   precision 0.6060829493087557   recall 0.6251250163064748
deviation 5/5   iterations 1660/2000   F1 0.618822144555287   accuracy 0.8511363636363637   precision 0.6108448540706605   recall 0.6294191919191919
deviation 5/5   iterations 1670/2000   F1 0.618822144555287   accuracy 0.8511363636363637   precision 0.6108448540706605   recall 0.6294191919191919
deviation 5/5   iterations 1680/2000   F1 0.608458288271611   accuracy 0.8443181818181819   precision 0.6028571428571429   recall 0.6154546457735599
deviation 5/5   iterations 1690/2000   F1 0.6118967676305936   accuracy 0.8443181818181819   precision 0.6069738863287251   recall 0.6178198256726761
deviation 5/5   iterations 1700/2000   F1 0.6022727272727273   accuracy 0.8568181818181818   precision 0.5893701996927804   recall 0.6266125803025819
deviation 5/5   iterations 1710/2000   F1 0.6273233471884558   accuracy 0.8465909090909091   precision 0.624731182795699   recall 0.6301282051282051
deviation 5/5   iterations 1720/2000   F1 0.6060618030045688   accuracy 0.8454545454545455   precision 0.5993855606758833   recall 0.6148808931945056
deviation 5/5   iterations 1730/2000   F1 0.5998908793307265   accuracy 0.8465909090909091   precision 0.5917972350230414   recall 0.6117193108399138
deviation 5/5   iterations 1740/2000   F1 0.6140757638083841   accuracy 0.8534090909090909   precision 0.6039016897081413   recall 0.6292102206736353
deviation 5/5   iterations 1750/2000   F1 0.6152532415187659   accuracy 0.8545454545454545   precision 0.604546850998464   recall 0.6314528963673728
deviation 5/5   iterations 1760/2000   F1 0.6129067186400303   accuracy 0.8522727272727273   precision 0.6032565284178187   recall 0.6270199996976614
deviation 5/5   iterations 1770/2000   F1 0.6085858585858586   accuracy 0.8590909090909091   precision 0.5947772657450077   recall 0.6342728807952784
deviation 5/5   iterations 1780/2000   F1 0.6237033767380269   accuracy 0.8590909090909091   precision 0.6112442396313365   recall 0.6430569383207699
deviation 5/5   iterations 1790/2000   F1 0.6332882458225737   accuracy 0.8613636363636363   precision 0.6207680491551459   recall 0.6518487615692454
update
deviation 5/5   iterations 1800/2000   F1 0.6164392964392964   accuracy 0.8556818181818182   precision 0.6051920122887865   recall 0.63375
deviation 5/5   iterations 1810/2000   F1 0.6153243906258156   accuracy 0.8477272727272728   precision 0.6089093701996928   recall 0.6234348667808745
deviation 5/5   iterations 1820/2000   F1 0.6127391360090925   accuracy 0.8556818181818182   precision 0.6010752688172043   recall 0.6314821919560074
deviation 5/5   iterations 1830/2000   F1 0.6153217275818459   accuracy 0.8511363636363637   precision 0.6067281105990783   recall 0.627189385507586
deviation 5/5   iterations 1840/2000   F1 0.6139221994735302   accuracy 0.8568181818181818   precision 0.6017204301075268   recall 0.6338729763387297
deviation 5/5   iterations 1850/2000   F1 0.6164823461948062   accuracy 0.8488636363636364   precision 0.6095545314900154   recall 0.6253867791842476
deviation 5/5   iterations 1860/2000   F1 0.6199735180644632   accuracy 0.8625   precision 0.6049462365591398   recall 0.6467959295929593
deviation 5/5   iterations 1870/2000   F1 0.6162810759940397   accuracy 0.8420454545454545   precision 0.6139170506912442   recall 0.6188461538461538
deviation 5/5   iterations 1880/2000   F1 0.6237190358162659   accuracy 0.865909090909091   precision 0.6068817204301076   recall 0.6554262942511482
deviation 5/5   iterations 1890/2000   F1 0.6118550117839133   accuracy 0.8477272727272728   precision 0.6047926267281105   recall 0.6211309819741757
deviation 5/5   iterations 1900/2000   F1 0.616493462956755   accuracy 0.8522727272727273   precision 0.6073732718894009   recall 0.6293007769145395
deviation 5/5   iterations 1910/2000   F1 0.6105933623868589   accuracy 0.85   precision 0.6019662058371735   recall 0.6227894931557529
deviation 5/5   iterations 1920/2000   F1 0.6039381153305203   accuracy 0.8545454545454545   precision 0.5921966205837174   recall 0.6242650103519669
deviation 5/5   iterations 1930/2000   F1 0.6153217275818459   accuracy 0.8511363636363637   precision 0.6067281105990783   recall 0.627189385507586
deviation 5/5   iterations 1940/2000   F1 0.6200504185295059   accuracy 0.8590909090909091   precision 0.6071274961597543   recall 0.6409891478384628
deviation 5/5   iterations 1950/2000   F1 0.6057563075712709   accuracy 0.8602272727272727   precision 0.591305683563748   recall 0.6345624456679224
deviation 5/5   iterations 1960/2000   F1 0.6005419434424497   accuracy 0.8511363636363637   precision 0.5902611367127496   recall 0.6174147963424771
deviation 5/5   iterations 1970/2000   F1 0.6141742256691056   accuracy 0.8465909090909091   precision 0.6082642089093702   recall 0.6215239461487531
deviation 5/5   iterations 1980/2000   F1 0.6069514373883386   accuracy 0.85   precision 0.5978494623655914   recall 0.6203685507399737
deviation 5/5   iterations 1990/2000   F1 0.6121667741148274   accuracy 0.8625   precision 0.5967127496159754   recall 0.642531150391191
deviation 5/5   iterations 2000/2000   F1 0.6117954460619635   accuracy 0.8375   precision 0.6113364055299539   recall 0.6122620935765266

