deviation 1/5   iterations 1/2000   F1 0.5030070658877299   accuracy 0.7990919409761634   precision 0.503019145802651   recall 0.5032643312101911
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deviation 1/5   iterations 11/2000   F1 0.478661932609301   accuracy 0.6140749148694665   precision 0.5379909180166912   recall 0.5170872939643847
deviation 1/5   iterations 21/2000   F1 0.4712209645785581   accuracy 0.5675368898978433   precision 0.577454590083456   recall 0.5328014553014553
deviation 1/5   iterations 31/2000   F1 0.4587278158122686   accuracy 0.5402951191827469   precision 0.5825785468826705   recall 0.5346833472510026
deviation 1/5   iterations 41/2000   F1 0.37240553055078846   accuracy 0.40068104426787743   precision 0.5692071674030437   recall 0.5327871711979906
deviation 1/5   iterations 51/2000   F1 0.4508005535869812   accuracy 0.5255391600454029   precision 0.5824374079528718   recall 0.5346362089413706
deviation 1/5   iterations 61/2000   F1 0.42711483886155915   accuracy 0.4858115777525539   precision 0.5763561610211094   recall 0.5325429704254674
deviation 1/5   iterations 71/2000   F1 0.4392912868522625   accuracy 0.5073779795686719   precision 0.5762457044673539   recall 0.5321511375163019
deviation 1/5   iterations 81/2000   F1 0.4593910427958659   accuracy 0.5380249716231555   precision 0.5895250368188513   recall 0.5375927643784787
deviation 1/5   iterations 91/2000   F1 0.4284212733165612   accuracy 0.4801362088535755   precision 0.5978399607265587   recall 0.5421642777807162
deviation 1/5   iterations 101/2000   F1 0.4798460177187259   accuracy 0.5766174801362088   precision 0.5908443789887089   recall 0.5385400395709674
deviation 1/5   iterations 111/2000   F1 0.464994769056867   accuracy 0.5414301929625426   precision 0.6038107511045656   recall 0.5435928754754321
deviation 1/5   iterations 121/2000   F1 0.4811343703988221   accuracy 0.5822928490351873   precision 0.5858308787432499   recall 0.5365810919666489
deviation 1/5   iterations 131/2000   F1 0.4676433098041103   accuracy 0.5437003405221339   precision 0.6092169857633776   recall 0.5458630961584052
deviation 1/5   iterations 141/2000   F1 0.5100344811148364   accuracy 0.6424517593643587   precision 0.5870397643593519   recall 0.5396125875532022
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deviation 1/5   iterations 151/2000   F1 0.471843103058992   accuracy 0.5629965947786606   precision 0.5872299950908199   recall 0.5368054476723111
deviation 1/5   iterations 161/2000   F1 0.492178026786363   accuracy 0.5947786606129398   precision 0.6011536573392244   recall 0.5432923626431347
deviation 1/5   iterations 171/2000   F1 0.5045867208672087   accuracy 0.623155505107832   precision 0.596674030436917   recall 0.5425967986156176
deviation 1/5   iterations 181/2000   F1 0.48779069767441857   accuracy 0.5981838819523269   precision 0.5824987727049582   recall 0.5356343896775835
deviation 1/5   iterations 191/2000   F1 0.49570196343429607   accuracy 0.6038592508513053   precision 0.598073146784487   recall 0.542328799050767
deviation 1/5   iterations 201/2000   F1 0.4910887029193387   accuracy 0.5970488081725313   precision 0.5942071674030437   recall 0.5404813888976785
deviation 1/5   iterations 211/2000   F1 0.5044827493297768   accuracy 0.6208853575482406   precision 0.5995029455081001   recall 0.5436666523041127
deviation 1/5   iterations 221/2000   F1 0.4987854891930801   accuracy 0.6083995459704881   precision 0.6006504663721159   recall 0.5435787616638681
deviation 1/5   iterations 231/2000   F1 0.4525971677993993   accuracy 0.5221339387060159   precision 0.5969747177221404   recall 0.5408181714864292
deviation 1/5   iterations 241/2000   F1 0.5349976387358439   accuracy 0.6765039727582293   precision 0.6104872361315661   recall 0.5525264017737325
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deviation 1/5   iterations 251/2000   F1 0.5161898327399976   accuracy 0.6401816118047673   precision 0.6063389788905253   recall 0.5476516526425782
deviation 1/5   iterations 261/2000   F1 0.5279491412517741   accuracy 0.6640181611804767   precision 0.6075171821305843   recall 0.5500216976714972
deviation 1/5   iterations 271/2000   F1 0.501403139818362   accuracy 0.6163450624290578   precision 0.5969256259204713   recall 0.5423721993304147
deviation 1/5   iterations 281/2000   F1 0.5029418876440719   accuracy 0.6186152099886493   precision 0.5982142857142857   recall 0.5430172552814062
deviation 1/5   iterations 291/2000   F1 0.506674962375039   accuracy 0.6220204313280363   precision 0.604264850270005   recall 0.5457115953726124
deviation 1/5   iterations 301/2000   F1 0.5351260687054045   accuracy 0.6696935300794552   precision 0.6189739813451154   recall 0.5554392707225292
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deviation 1/5   iterations 311/2000   F1 0.49424642336519736   accuracy 0.5959137343927355   precision 0.6059155621011292   recall 0.5453018372703412
deviation 1/5   iterations 321/2000   F1 0.492178026786363   accuracy 0.5947786606129398   precision 0.6011536573392244   recall 0.5432923626431347
deviation 1/5   iterations 331/2000   F1 0.5511367459745253   accuracy 0.699205448354143   precision 0.6233738340697104   recall 0.5609353215736195
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deviation 1/5   iterations 341/2000   F1 0.5108501553118658   accuracy 0.6220204313280363   precision 0.6166175748649976   recall 0.5508400214018192
deviation 1/5   iterations 351/2000   F1 0.513539972899729   accuracy 0.6299659477866061   precision 0.612892734413353   recall 0.5497431321652606
deviation 1/5   iterations 361/2000   F1 0.5423260240928841   accuracy 0.6753688989784336   precision 0.6304307805596465   recall 0.5608746706381029
deviation 1/5   iterations 371/2000   F1 0.521393205886398   accuracy 0.641316685584563   precision 0.6193360333824252   recall 0.5531600240555464
deviation 1/5   iterations 381/2000   F1 0.5295569346226007   accuracy 0.6640181611804767   precision 0.6116347569955818   recall 0.551775956284153
deviation 1/5   iterations 391/2000   F1 0.5045966719270732   accuracy 0.6129398410896708   precision 0.6114629356897399   recall 0.5482602503879099
deviation 1/5   iterations 401/2000   F1 0.5229724509925644   accuracy 0.6435868331441543   precision 0.6206246931762396   recall 0.5538595164507573
deviation 1/5   iterations 411/2000   F1 0.5608096339229406   accuracy 0.717366628830874   precision 0.6254479626902307   recall 0.5647955625990492
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deviation 1/5   iterations 421/2000   F1 0.5173110423942857   accuracy 0.6333711691259932   precision 0.6189432989690722   recall 0.5524636221904637
deviation 1/5   iterations 431/2000   F1 0.5380325107654171   accuracy 0.662883087400681   precision 0.6356958762886598   recall 0.5617564261536915
deviation 1/5   iterations 441/2000   F1 0.5221824492895109   accuracy 0.6424517593643587   precision 0.6199803632793324   recall 0.5535090696121469
deviation 1/5   iterations 451/2000   F1 0.5438968053986736   accuracy 0.6753688989784336   precision 0.634548355424644   recall 0.5625977822695765
deviation 1/5   iterations 461/2000   F1 0.5455999346929082   accuracy 0.684449489216799   precision 0.6273502700049092   recall 0.5606500748152997
deviation 1/5   iterations 471/2000   F1 0.5486818362540905   accuracy 0.695800227014756   precision 0.6214408443789887   recall 0.5596141796799692
deviation 1/5   iterations 481/2000   F1 0.5456019098424675   accuracy 0.6821793416572077   precision 0.6301791850760923   recall 0.561566947598152
deviation 1/5   iterations 491/2000   F1 0.5198169477581243   accuracy 0.6390465380249716   precision 0.6180473735886107   recall 0.5524660717402687
deviation 1/5   iterations 501/2000   F1 0.5626484045575526   accuracy 0.717366628830874   precision 0.6295655375552283   recall 0.5666023166023166
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deviation 1/5   iterations 511/2000   F1 0.5349216185820193   accuracy 0.6606129398410897   precision 0.6302896416298478   recall 0.559295999642526
deviation 1/5   iterations 521/2000   F1 0.5302160235822078   accuracy 0.656072644721907   precision 0.6235947471772214   recall 0.5560968137254901
deviation 1/5   iterations 531/2000   F1 0.5579120403749098   accuracy 0.7037457434733257   precision 0.6341863033873343   recall 0.5662756864884524
deviation 1/5   iterations 541/2000   F1 0.5480281775605558   accuracy 0.6833144154370034   precision 0.634941089837997   recall 0.5637103222890519
deviation 1/5   iterations 551/2000   F1 0.5604729987051564   accuracy 0.70261066969353   precision 0.6417771232204221   recall 0.5693189318931893
deviation 1/5   iterations 561/2000   F1 0.561299007681428   accuracy 0.7014755959137344   precision 0.6452503681885124   recall 0.5706002362289273
deviation 1/5   iterations 571/2000   F1 0.5638413005434282   accuracy 0.7071509648127128   precision 0.644354442808051   recall 0.5711511705280987
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deviation 1/5   iterations 581/2000   F1 0.5654798252618723   accuracy 0.713961407491487   precision 0.6399852724594992   recall 0.5704857248794958
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deviation 1/5   iterations 591/2000   F1 0.5389503588516746   accuracy 0.6662883087400681   precision 0.6335112911143839   recall 0.5611894208702696
deviation 1/5   iterations 601/2000   F1 0.561649332306112   accuracy 0.7185017026106697   precision 0.6260922925871379   recall 0.5652864623049159
deviation 1/5   iterations 611/2000   F1 0.5688791712218231   accuracy 0.7332576617480137   precision 0.6262334315169367   recall 0.5683113277721694
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deviation 1/5   iterations 621/2000   F1 0.5480281775605558   accuracy 0.6833144154370034   precision 0.634941089837997   recall 0.5637103222890519
deviation 1/5   iterations 631/2000   F1 0.5604602253538423   accuracy 0.7048808172531215   precision 0.638948208149239   recall 0.5684864799467666
deviation 1/5   iterations 641/2000   F1 0.5578955888304331   accuracy 0.7185017026106697   precision 0.6178571428571429   recall 0.561628802464382
deviation 1/5   iterations 651/2000   F1 0.5631452307792355   accuracy 0.7230419977298524   precision 0.6245520373097693   recall 0.5654598346169227
deviation 1/5   iterations 661/2000   F1 0.5302881353830675   accuracy 0.6583427922814983   precision 0.6207658321060383   recall 0.555113700011202
deviation 1/5   iterations 671/2000   F1 0.5660334112755515   accuracy 0.7219069239500567   precision 0.6321428571428571   recall 0.568586607552362
deviation 1/5   iterations 681/2000   F1 0.5610934217081466   accuracy 0.7128263337116912   precision 0.6311057928325969   recall 0.566460736371894
deviation 1/5   iterations 691/2000   F1 0.5601489161052521   accuracy 0.7241770715096482   precision 0.6169612174766814   recall 0.5622737430897708
deviation 1/5   iterations 701/2000   F1 0.5406508450197771   accuracy 0.6708286038592508   precision 0.6319710358370152   recall 0.5610210080695502
deviation 1/5   iterations 711/2000   F1 0.5527806569040161   accuracy 0.7014755959137344   precision 0.6246624938635248   recall 0.5618289060407587
deviation 1/5   iterations 721/2000   F1 0.5589482424800504   accuracy 0.717366628830874   precision 0.6213303878252332   recall 0.5629745706568822
deviation 1/5   iterations 731/2000   F1 0.5641792913231609   accuracy 0.7219069239500567   precision 0.6280252822778596   recall 0.5667786953460086
deviation 1/5   iterations 741/2000   F1 0.5745903862308919   accuracy 0.7514188422247446   precision 0.620072410407462   recall 0.5698901303006058
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deviation 1/5   iterations 751/2000   F1 0.5615409443490031   accuracy 0.7287173666288309   precision 0.6154209621993127   recall 0.5624601508952766
deviation 1/5   iterations 761/2000   F1 0.5446183615856649   accuracy 0.6901248581157775   precision 0.6182191948944527   recall 0.5574614934917738
deviation 1/5   iterations 771/2000   F1 0.5539701038562412   accuracy 0.7105561861520999   precision 0.6174644084437899   recall 0.5600974519333409
deviation 1/5   iterations 781/2000   F1 0.5627120785502853   accuracy 0.7502837684449489   precision 0.5988402061855671   recall 0.5593399549064972
deviation 1/5   iterations 791/2000   F1 0.5601755151840783   accuracy 0.7468785471055619   precision 0.5969072164948453   recall 0.5575686434622844
deviation 1/5   iterations 801/2000   F1 0.5671556983440709   accuracy 0.738933030646992   precision 0.6171023564064801   recall 0.5654154668860552
deviation 1/5   iterations 811/2000   F1 0.5654488553253734   accuracy 0.7366628830874007   precision 0.6158136966126657   recall 0.5643102484768356
deviation 1/5   iterations 821/2000   F1 0.5565287425752541   accuracy 0.7219069239500567   precision 0.6115549828178695   recall 0.5593952977769646
deviation 1/5   iterations 831/2000   F1 0.565270681119972   accuracy 0.753688989784336   precision 0.6007731958762887   recall 0.5611574556830031
deviation 1/5   iterations 841/2000   F1 0.5816901907517865   accuracy 0.771850170261067   precision 0.6152000490918017   recall 0.573782798031725
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deviation 1/5   iterations 851/2000   F1 0.5606215712523296   accuracy 0.7196367763904654   precision 0.6226190476190476   recall 0.5639587734460022
deviation 1/5   iterations 861/2000   F1 0.5521098118962888   accuracy 0.7105561861520999   precision 0.6133468335787924   recall 0.5582651979710803
deviation 1/5   iterations 871/2000   F1 0.5694037145650048   accuracy 0.7502837684449489   precision 0.6111929307805596   recall 0.5653773993361235
deviation 1/5   iterations 881/2000   F1 0.5632273112363899   accuracy 0.7309875141884222   precision 0.6167096219931272   recall 0.5635109864422627
deviation 1/5   iterations 891/2000   F1 0.5771733017898351   accuracy 0.775255391600454   precision 0.6047803141875308   recall 0.5697029816139251
deviation 1/5   iterations 901/2000   F1 0.574638112771641   accuracy 0.757094211123723   precision 0.615058910162003   recall 0.5690770568384445
deviation 1/5   iterations 911/2000   F1 0.5700561540346727   accuracy 0.7400681044267877   precision 0.6218642611683849   recall 0.5678717412404818
deviation 1/5   iterations 921/2000   F1 0.5691949858829133   accuracy 0.738933030646992   precision 0.6212199312714777   recall 0.5673122793626563
deviation 1/5   iterations 931/2000   F1 0.5508657818405556   accuracy 0.7037457434733257   precision 0.6177160039273442   recall 0.5591418071501684
deviation 1/5   iterations 941/2000   F1 0.5759296952359996   accuracy 0.7616345062429057   precision 0.6135186548846343   recall 0.5696582419568622
deviation 1/5   iterations 951/2000   F1 0.5741632466940265   accuracy 0.7593643586833144   precision 0.6122299950908199   recall 0.5683598714210959
deviation 1/5   iterations 961/2000   F1 0.5654892028792322   accuracy 0.7480136208853575   precision 0.6057866961217476   recall 0.5621987299754655
deviation 1/5   iterations 971/2000   F1 0.577707311677298   accuracy 0.7639046538024972   precision 0.6148073146784487   recall 0.5709803475225738
deviation 1/5   iterations 981/2000   F1 0.5637506348400204   accuracy 0.7343927355278093   precision 0.6145250368188513   recall 0.5632215447154472
deviation 1/5   iterations 991/2000   F1 0.5751392699758875   accuracy 0.7695800227014756   precision 0.6056762395679921   recall 0.5682398161356792
deviation 1/5   iterations 1001/2000   F1 0.5720542447383719   accuracy 0.7922814982973894   precision 0.585622238586156   recall 0.565736657620986
deviation 1/5   iterations 1011/2000   F1 0.5724076930055338   accuracy 0.757094211123723   precision 0.6109413352970055   recall 0.5670844836286995
deviation 1/5   iterations 1021/2000   F1 0.5513507647098109   accuracy 0.7230419977298524   precision 0.599846588119784   recall 0.5541824841824842
deviation 1/5   iterations 1031/2000   F1 0.5854035063256784   accuracy 0.7854710556186152   precision 0.6105792832596957   recall 0.5766234649794197
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deviation 1/5   iterations 1041/2000   F1 0.5766161256182638   accuracy 0.7979568671963677   precision 0.5888438880706922   recall 0.5701875157555896
deviation 1/5   iterations 1051/2000   F1 0.5724076930055338   accuracy 0.757094211123723   precision 0.6109413352970055   recall 0.5670844836286995
deviation 1/5   iterations 1061/2000   F1 0.545252147090467   accuracy 0.717366628830874   precision 0.5925073637702504   recall 0.5497859945309713
deviation 1/5   iterations 1071/2000   F1 0.5907622558973501   accuracy 0.8013620885357549   precision 0.6072471772214041   recall 0.5823392507161164
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deviation 1/5   iterations 1081/2000   F1 0.5847925231476446   accuracy 0.7786606129398411   precision 0.6149484536082475   recall 0.5761351997268692
deviation 1/5   iterations 1091/2000   F1 0.5698393567230883   accuracy 0.7480136208853575   precision 0.6140218458517428   recall 0.5661490373661426
deviation 1/5   iterations 1101/2000   F1 0.5839682867870972   accuracy 0.7900113507377979   precision 0.6049214531173294   recall 0.5755879752431476
deviation 1/5   iterations 1111/2000   F1 0.5751392699758875   accuracy 0.7695800227014756   precision 0.6056762395679921   recall 0.5682398161356792
deviation 1/5   iterations 1121/2000   F1 0.5695862984403229   accuracy 0.7593643586833144   precision 0.6039948453608248   recall 0.5642954700660141
deviation 1/5   iterations 1131/2000   F1 0.5769250066299214   accuracy 0.771850170261067   precision 0.6069648993618065   recall 0.5696493359119024
deviation 1/5   iterations 1141/2000   F1 0.5703864084108685   accuracy 0.7729852440408627   precision 0.5952565046637212   recall 0.5639280125195618
deviation 1/5   iterations 1151/2000   F1 0.5730884783525461   accuracy 0.7900113507377979   precision 0.5884511536573392   recall 0.5664337598171159
deviation 1/5   iterations 1161/2000   F1 0.5704753663585707   accuracy 0.7832009080590239   precision 0.5887027491408935   recall 0.5639036251105217
deviation 1/5   iterations 1171/2000   F1 0.5669597114385279   accuracy 0.771850170261067   precision 0.5904945999018164   recall 0.5610035575411599
deviation 1/5   iterations 1181/2000   F1 0.5675481873067362   accuracy 0.753688989784336   precision 0.6048907707412863   recall 0.563197864442374
deviation 1/5   iterations 1191/2000   F1 0.5821117754041351   accuracy 0.7877412031782066   precision 0.6036327933235149   recall 0.5739184480977643
deviation 1/5   iterations 1201/2000   F1 0.5865811681805614   accuracy 0.7900113507377979   precision 0.609039027982327   recall 0.5777745679920164
deviation 1/5   iterations 1211/2000   F1 0.5684115032205389   accuracy 0.7548240635641317   precision 0.6055351006381935   recall 0.5638154184106628
deviation 1/5   iterations 1221/2000   F1 0.5716037463266126   accuracy 0.7650397275822929   precision 0.6030989199803632   recall 0.5655019961324933
deviation 1/5   iterations 1231/2000   F1 0.5832544938505203   accuracy 0.7956867196367764   precision 0.5999079528718704   recall 0.5754462547961964
deviation 1/5   iterations 1241/2000   F1 0.5711345671871988   accuracy 0.7707150964812712   precision 0.5980854197349043   recall 0.5646863617968434
deviation 1/5   iterations 1251/2000   F1 0.5749657619521912   accuracy 0.7888762769580022   precision 0.5919243986254296   recall 0.5679488342556472
deviation 1/5   iterations 1261/2000   F1 0.5790064496792126   accuracy 0.8081725312145289   precision 0.5864077074128621   recall 0.5740092504993167
deviation 1/5   iterations 1271/2000   F1 0.5758746763469821   accuracy 0.7900113507377979   precision 0.5925687285223368   recall 0.5687870497036024
deviation 1/5   iterations 1281/2000   F1 0.5623425176687493   accuracy 0.7797956867196367   precision 0.5785346097201767   recall 0.5568648360437216
deviation 1/5   iterations 1291/2000   F1 0.5678321952750962   accuracy 0.7729852440408627   precision 0.5911389297987236   recall 0.5617146466325378
deviation 1/5   iterations 1301/2000   F1 0.5764388168034351   accuracy 0.8013620885357549   precision 0.5866593028964163   recall 0.5705408699474515
deviation 1/5   iterations 1311/2000   F1 0.5727669004678734   accuracy 0.7968217934165721   precision 0.5840819833087875   recall 0.5668168607486297
deviation 1/5   iterations 1321/2000   F1 0.5740282840429396   accuracy 0.7809307604994324   precision 0.5956492390770741   recall 0.5669096310032796
deviation 1/5   iterations 1331/2000   F1 0.5703955013280212   accuracy 0.7866061293984109   precision 0.5865181639666176   recall 0.5639526444706523
deviation 1/5   iterations 1341/2000   F1 0.5851189074640923   accuracy 0.7820658342792282   precision 0.6127638684339716   recall 0.5763579549232098
deviation 1/5   iterations 1351/2000   F1 0.5745622786091231   accuracy 0.8104426787741204   precision 0.5794612174766813   recall 0.5708990363556723
deviation 1/5   iterations 1361/2000   F1 0.5693629769788711   accuracy 0.7888762769580022   precision 0.5836892488954344   recall 0.5631985764332981
deviation 1/5   iterations 1371/2000   F1 0.5740605245808394   accuracy 0.7877412031782066   precision 0.5912800687285223   recall 0.5671206050104686
deviation 1/5   iterations 1381/2000   F1 0.5713533909244366   accuracy 0.7775255391600454   precision 0.5937162493863525   recall 0.564635178601659
deviation 1/5   iterations 1391/2000   F1 0.5694515405291334   accuracy 0.8002270147559591   precision 0.5777798232695139   recall 0.5645038167938932
deviation 1/5   iterations 1401/2000   F1 0.5729588358119913   accuracy 0.793416572077185   precision 0.5862665684830632   recall 0.5666041275797373
deviation 1/5   iterations 1411/2000   F1 0.5704753663585707   accuracy 0.7832009080590239   precision 0.5887027491408935   recall 0.5639036251105217
deviation 1/5   iterations 1421/2000   F1 0.5663400008949747   accuracy 0.8002270147559591   precision 0.5736622484045164   recall 0.5618711858815768
deviation 1/5   iterations 1431/2000   F1 0.5676476918882464   accuracy 0.8059023836549376   precision 0.572766323024055   recall 0.5640294606794963
deviation 1/5   iterations 1441/2000   F1 0.5686313482906397   accuracy 0.7707150964812712   precision 0.5939678448699067   recall 0.5625102054145847
deviation 1/5   iterations 1451/2000   F1 0.5677345437824479   accuracy 0.7832009080590239   precision 0.584585174275896   recall 0.5615587988352775
deviation 1/5   iterations 1461/2000   F1 0.5592426992720881   accuracy 0.7832009080590239   precision 0.5722324496809033   recall 0.5542522399616533
deviation 1/5   iterations 1471/2000   F1 0.5768201468469087   accuracy 0.8093076049943246   precision 0.5829344624447717   recall 0.5724789239976833
deviation 1/5   iterations 1481/2000   F1 0.5609646127600781   accuracy 0.7854710556186152   precision 0.5735211094747177   recall 0.555824247507222
deviation 1/5   iterations 1491/2000   F1 0.5688886472379295   accuracy 0.7956867196367764   precision 0.5793200785468827   recall 0.5634075033356879
deviation 1/5   iterations 1501/2000   F1 0.5736787733797304   accuracy 0.7979568671963677   precision 0.5847263132056947   recall 0.5677291813829369
deviation 1/5   iterations 1511/2000   F1 0.5718590034341995   accuracy 0.7956867196367764   precision 0.5834376534118803   recall 0.5659165390059919
deviation 1/5   iterations 1521/2000   F1 0.5664920634920635   accuracy 0.7888762769580022   precision 0.5795716740304369   recall 0.560752436281859
deviation 1/5   iterations 1531/2000   F1 0.5745622786091231   accuracy 0.8104426787741204   precision 0.5794612174766813   recall 0.5708990363556723
deviation 1/5   iterations 1541/2000   F1 0.5712679554302591   accuracy 0.8024971623155505   precision 0.5790684830633284   recall 0.5664120484908461
deviation 1/5   iterations 1551/2000   F1 0.5612549800796812   accuracy 0.7820658342792282   precision 0.5757056946489936   recall 0.5559602649006623
deviation 1/5   iterations 1561/2000   F1 0.5778831871975467   accuracy 0.8183881952326901   precision 0.5798539518900344   recall 0.5761261261261261
deviation 1/5   iterations 1571/2000   F1 0.5867067602572283   accuracy 0.8172531214528944   precision 0.5915623465881198   recall 0.5828631405913322
deviation 1/5   iterations 1581/2000   F1 0.5484305542955639   accuracy 0.7434733257661748   precision 0.5785039273441335   recall 0.5474700923204797
deviation 1/5   iterations 1591/2000   F1 0.58218424231578   accuracy 0.8195232690124858   precision 0.5846158566519392   recall 0.5800494612669516
deviation 1/5   iterations 1601/2000   F1 0.5711534391534392   accuracy 0.7911464245175936   precision 0.5849779086892488   recall 0.564880059970015
deviation 1/5   iterations 1611/2000   F1 0.5685552636430679   accuracy 0.8070374574347332   precision 0.5734106529209622   recall 0.5650445846020009
deviation 1/5   iterations 1621/2000   F1 0.5806359482102057   accuracy 0.8297389330306469   precision 0.5780621011291114   recall 0.5836379654954765
deviation 1/5   iterations 1631/2000   F1 0.5678227535704171   accuracy 0.7797956867196367   precision 0.5867697594501718   recall 0.5615864387881322
deviation 1/5   iterations 1641/2000   F1 0.562290705866832   accuracy 0.7990919409761634   precision 0.5689003436426117   recall 0.5582461819389111
deviation 1/5   iterations 1651/2000   F1 0.5672365735971503   accuracy 0.8013620885357549   precision 0.5743065783014236   recall 0.562816442563081
deviation 1/5   iterations 1661/2000   F1 0.5601741592804471   accuracy 0.7922814982973894   precision 0.5691519391261659   recall 0.5556109356494275
deviation 1/5   iterations 1671/2000   F1 0.5699511862867521   accuracy 0.8047673098751419   precision 0.5762395679921453   recall 0.5657354497354498
deviation 1/5   iterations 1681/2000   F1 0.5658454325081113   accuracy 0.8036322360953462   precision 0.5714776632302405   recall 0.5620445732304938
deviation 1/5   iterations 1691/2000   F1 0.5676476918882464   accuracy 0.8059023836549376   precision 0.572766323024055   recall 0.5640294606794963
deviation 1/5   iterations 1701/2000   F1 0.5727044440299043   accuracy 0.8081725312145289   precision 0.5781725576828669   recall 0.5687865828635608
deviation 1/5   iterations 1711/2000   F1 0.567076167076167   accuracy 0.8093076049943246   precision 0.5705817378497791   recall 0.5643374949657672
deviation 1/5   iterations 1721/2000   F1 0.5546274395786022   accuracy 0.7809307604994324   precision 0.5668262150220913   recall 0.5501917333431658
deviation 1/5   iterations 1731/2000   F1 0.5708645604559943   accuracy 0.8059023836549376   precision 0.5768838978890525   recall 0.566737333276516
deviation 1/5   iterations 1741/2000   F1 0.5676476918882464   accuracy 0.8059023836549376   precision 0.572766323024055   recall 0.5640294606794963
deviation 1/5   iterations 1751/2000   F1 0.5699511862867521   accuracy 0.8047673098751419   precision 0.5762395679921453   recall 0.5657354497354498
deviation 1/5   iterations 1761/2000   F1 0.561728921485019   accuracy 0.7616345062429057   precision 0.588813205694649   recall 0.5571152328334649
deviation 1/5   iterations 1771/2000   F1 0.5676476918882464   accuracy 0.8059023836549376   precision 0.572766323024055   recall 0.5640294606794963
deviation 1/5   iterations 1781/2000   F1 0.5802489960552443   accuracy 0.8172531214528944   precision 0.5833271968581246   recall 0.5776493057938197
deviation 1/5   iterations 1791/2000   F1 0.5658252407038513   accuracy 0.7843359818388195   precision 0.5811119293078055   recall 0.5599564546856572
deviation 1/5   iterations 1801/2000   F1 0.5768201468469087   accuracy 0.8093076049943246   precision 0.5829344624447717   recall 0.5724789239976833
deviation 1/5   iterations 1811/2000   F1 0.5792889989388044   accuracy 0.8161180476730987   precision 0.5826828669612174   recall 0.5764786014303553
deviation 1/5   iterations 1821/2000   F1 0.5806359482102057   accuracy 0.8297389330306469   precision 0.5780621011291114   recall 0.5836379654954765
deviation 1/5   iterations 1831/2000   F1 0.5627936213855621   accuracy 0.7956867196367764   precision 0.5710849288168875   recall 0.5582204173535443
deviation 1/5   iterations 1841/2000   F1 0.5827336590672277   accuracy 0.8240635641316686   precision 0.5830756013745705   recall 0.5823980523432745
deviation 1/5   iterations 1851/2000   F1 0.5703836150845254   accuracy 0.8093076049943246   precision 0.5746993127147766   recall 0.5671221244403273
deviation 1/5   iterations 1861/2000   F1 0.5727044440299043   accuracy 0.8081725312145289   precision 0.5781725576828669   recall 0.5687865828635608
deviation 1/5   iterations 1871/2000   F1 0.584214301895341   accuracy 0.8297389330306469   precision 0.5821796759941089   recall 0.586491513601488
deviation 1/5   iterations 1881/2000   F1 0.5704683203773688   accuracy 0.7763904653802497   precision 0.5930719194894453   recall 0.5638933355800826
deviation 1/5   iterations 1891/2000   F1 0.5864488757902743   accuracy 0.8206583427922814   precision 0.5893777614138439   recall 0.5839152378318584
deviation 1/5   iterations 1901/2000   F1 0.5780651340996168   accuracy 0.8070374574347332   precision 0.5857633775159549   recall 0.5729756260573529
deviation 1/5   iterations 1911/2000   F1 0.5694672160774958   accuracy 0.8081725312145289   precision 0.5740549828178694   recall 0.5660753394656154
deviation 1/5   iterations 1921/2000   F1 0.5750346978695952   accuracy 0.8149829738933031   precision 0.5779209621993127   recall 0.57261145039914
deviation 1/5   iterations 1931/2000   F1 0.5827336590672277   accuracy 0.8240635641316686   precision 0.5830756013745705   recall 0.5823980523432745
deviation 1/5   iterations 1941/2000   F1 0.5740242774860672   accuracy 0.8059023836549376   precision 0.58100147275405   recall 0.5693787448754336
deviation 1/5   iterations 1951/2000   F1 0.5832166298541598   accuracy 0.8286038592508513   precision 0.5815353460972017   recall 0.5850640204865557
deviation 1/5   iterations 1961/2000   F1 0.5852505321761913   accuracy 0.8433598183881952   precision 0.577558910162003   recall 0.5975231481481482
deviation 1/5   iterations 1971/2000   F1 0.5731011945007888   accuracy 0.8047673098751419   precision 0.5803571428571428   recall 0.5683754882098624
deviation 1/5   iterations 1981/2000   F1 0.5773495772487403   accuracy 0.8217934165720772   precision 0.5776693667157584   recall 0.5770359099208765
deviation 1/5   iterations 1991/2000   F1 0.5783136966126656   accuracy 0.8229284903518729   precision 0.5783136966126656   recall 0.5783136966126656

deviation 2/5   iterations 1/2000   F1 0.13751739763715812   accuracy 0.13977272727272727   precision 0.42516129032258065   recall 0.37621951219512195
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deviation 2/5   iterations 11/2000   F1 0.475958675473533   accuracy 0.8761363636363636   precision 0.5015360983102919   recall 0.5238367658276125
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deviation 2/5   iterations 21/2000   F1 0.5350653527209243   accuracy 0.6863636363636364   precision 0.5996313364055299   recall 0.5489255390408603
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deviation 2/5   iterations 31/2000   F1 0.4463087248322148   accuracy 0.5159090909090909   precision 0.5851920122887865   recall 0.5359064799995856
deviation 2/5   iterations 41/2000   F1 0.4731844546938939   accuracy 0.5579545454545455   precision 0.6008294930875576   recall 0.5424522444587015
deviation 2/5   iterations 51/2000   F1 0.3579735138732726   accuracy 0.3784090909090909   precision 0.5771121351766513   recall 0.5387546629116332
deviation 2/5   iterations 61/2000   F1 0.4583044788133837   accuracy 0.5272727272727272   precision 0.6081105990783411   recall 0.545545379713086
deviation 2/5   iterations 71/2000   F1 0.40163628786383276   accuracy 0.43636363636363634   precision 0.6017818740399385   recall 0.5464080999153924
deviation 2/5   iterations 81/2000   F1 0.443847643014784   accuracy 0.4965909090909091   precision 0.6236251920122888   recall 0.5530859506923337
deviation 2/5   iterations 91/2000   F1 0.4687217003746648   accuracy 0.5363636363636364   precision 0.6297388632872504   recall 0.5546570441967499
deviation 2/5   iterations 101/2000   F1 0.479228311042727   accuracy 0.5511363636363636   precision 0.638125960061444   recall 0.5580770502645502
deviation 2/5   iterations 111/2000   F1 0.4594813849051137   accuracy 0.5181818181818182   precision 0.6358832565284178   recall 0.5577189090434556
deviation 2/5   iterations 121/2000   F1 0.47393031115530543   accuracy 0.5409090909090909   precision 0.6405529953917051   recall 0.5592128764385818
deviation 2/5   iterations 131/2000   F1 0.5002980392156863   accuracy 0.5886363636363636   precision 0.6388325652841782   recall 0.5587264457439897
deviation 2/5   iterations 141/2000   F1 0.448848397964709   accuracy 0.4965909090909091   precision 0.6483256528417819   recall 0.5642622880994974
deviation 2/5   iterations 151/2000   F1 0.5293031998974667   accuracy 0.6443181818181818   precision 0.6375115207373272   recall 0.5609477124183007
deviation 2/5   iterations 161/2000   F1 0.4844756883421207   accuracy 0.5488636363636363   precision 0.665652841781874   recall 0.569835875331565
deviation 2/5   iterations 171/2000   F1 0.5447346749160631   accuracy 0.6659090909090909   precision 0.6497695852534562   recall 0.5679200173875244
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deviation 2/5   iterations 181/2000   F1 0.4854172589071745   accuracy 0.5488636363636363   precision 0.6697695852534562   recall 0.5716085090501959
deviation 2/5   iterations 191/2000   F1 0.5328832752613241   accuracy 0.6454545454545455   precision 0.6463901689708141   recall 0.5646747126623993
deviation 2/5   iterations 201/2000   F1 0.5333480079242792   accuracy 0.6386363636363637   precision 0.6589861751152073   recall 0.5692915789642817
deviation 2/5   iterations 211/2000   F1 0.5367933466680703   accuracy 0.6363636363636364   precision 0.674162826420891   recall 0.5752771271199494
deviation 2/5   iterations 221/2000   F1 0.5595056322203336   accuracy 0.6840909090909091   precision 0.6642089093701997   recall 0.5759617079091132
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deviation 2/5   iterations 231/2000   F1 0.5362829261134345   accuracy 0.6409090909090909   precision 0.6643932411674347   recall 0.571648162132922
deviation 2/5   iterations 241/2000   F1 0.5231064825924648   accuracy 0.6125   precision 0.6729646697388633   recall 0.5735048359131834
deviation 2/5   iterations 251/2000   F1 0.5551651048639   accuracy 0.6704545454545454   precision 0.6729339477726575   recall 0.5778212806432526
deviation 2/5   iterations 261/2000   F1 0.5260444718011849   accuracy 0.6181818181818182   precision 0.672073732718894   recall 0.5733918266584902
deviation 2/5   iterations 271/2000   F1 0.5446796372826714   accuracy 0.6454545454545455   precision 0.6834408602150537   recall 0.5796732476155402
deviation 2/5   iterations 281/2000   F1 0.5576842144720409   accuracy 0.6647727272727273   precision 0.6902918586789555   recall 0.5841594382486576
deviation 2/5   iterations 291/2000   F1 0.5546854633837158   accuracy 0.6625   precision 0.6848847926267281   recall 0.5817680819148242
deviation 2/5   iterations 301/2000   F1 0.5484369161788517   accuracy 0.6488636363636363   precision 0.6894930875576037   recall 0.5823717948717948
deviation 2/5   iterations 311/2000   F1 0.5867271798262751   accuracy 0.7159090909090909   precision 0.6905069124423964   recall 0.5917573734396363
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deviation 2/5   iterations 321/2000   F1 0.5326728661042401   accuracy 0.6306818181818182   precision 0.670937019969278   recall 0.5736072305477944
deviation 2/5   iterations 331/2000   F1 0.5770469524288311   accuracy 0.7034090909090909   precision 0.683410138248848   recall 0.5866302152260221
deviation 2/5   iterations 341/2000   F1 0.5875553902884942   accuracy 0.725   precision 0.6792012288786482   recall 0.5890964190357485
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deviation 2/5   iterations 351/2000   F1 0.5417609170088424   accuracy 0.6431818181818182   precision 0.6780337941628264   recall 0.5773248149274921
deviation 2/5   iterations 361/2000   F1 0.5655906593406593   accuracy 0.6863636363636364   precision 0.6778494623655914   recall 0.5817844811510011
deviation 2/5   iterations 371/2000   F1 0.5961889947501459   accuracy 0.7318181818181818   precision 0.6913056835637481   recall 0.5955207853965332
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deviation 2/5   iterations 381/2000   F1 0.5649915245249509   accuracy 0.6875   precision 0.6743778801843319   recall 0.5805444555444556
deviation 2/5   iterations 391/2000   F1 0.55707073065687   accuracy 0.6693181818181818   precision 0.6805222734254992   recall 0.5807426787441737
deviation 2/5   iterations 401/2000   F1 0.5956703759137546   accuracy 0.7352272727272727   precision 0.6850076804915515   recall 0.5938146514120491
deviation 2/5   iterations 411/2000   F1 0.5738059329072129   accuracy 0.7011363636363637   precision 0.6780030721966206   recall 0.5840762926330941
deviation 2/5   iterations 421/2000   F1 0.574778439949399   accuracy 0.696590909090909   precision 0.6877726574500769   recall 0.5872624269005848
deviation 2/5   iterations 431/2000   F1 0.5805895322016139   accuracy 0.7022727272727273   precision 0.6951152073732718   recall 0.5911039195772296
deviation 2/5   iterations 441/2000   F1 0.5861844248941024   accuracy 0.7113636363636363   precision 0.6961597542242703   recall 0.5931306483701771
deviation 2/5   iterations 451/2000   F1 0.5724346345031582   accuracy 0.6897727272727273   precision 0.6921351766513058   recall 0.5879734869798114
deviation 2/5   iterations 461/2000   F1 0.5801148147034956   accuracy 0.7113636363636363   precision 0.6796927803379416   recall 0.5865487626589958
deviation 2/5   iterations 471/2000   F1 0.5896268544645468   accuracy 0.7318181818181818   precision 0.6748387096774193   recall 0.5888602282166746
deviation 2/5   iterations 481/2000   F1 0.5710237468997252   accuracy 0.6897727272727273   precision 0.6880184331797234   recall 0.5863353196099675
deviation 2/5   iterations 491/2000   F1 0.5814226575796538   accuracy 0.7090909090909091   precision 0.6866359447004609   recall 0.5889203098378797
deviation 2/5   iterations 501/2000   F1 0.5839737125456804   accuracy 0.7011363636363637   precision 0.7068202764976959   recall 0.5955294705294706
deviation 2/5   iterations 511/2000   F1 0.5800106423635555   accuracy 0.7034090909090909   precision 0.6916436251920124   recall 0.5899178947853964
deviation 2/5   iterations 521/2000   F1 0.593434650455927   accuracy 0.740909090909091   precision 0.6717665130568357   recall 0.5898441266270287
deviation 2/5   iterations 531/2000   F1 0.5628843253277642   accuracy 0.6886363636363636   precision 0.6667895545314899   recall 0.5776321132979849
deviation 2/5   iterations 541/2000   F1 0.5856017274251717   accuracy 0.7204545454545455   precision 0.6807373271889401   recall 0.5887539149483136
deviation 2/5   iterations 551/2000   F1 0.5836361434108527   accuracy 0.7159090909090909   precision 0.682273425499232   recall 0.5884577078823228
deviation 2/5   iterations 561/2000   F1 0.5831841508533238   accuracy 0.7113636363636363   precision 0.687926267281106   recall 0.5898549276988795
deviation 2/5   iterations 571/2000   F1 0.5960845925359765   accuracy 0.7420454545454546   precision 0.6765284178187404   recall 0.5921045882383114
deviation 2/5   iterations 581/2000   F1 0.6002713824850053   accuracy 0.7329545454545454   precision 0.700184331797235   recall 0.5993195785776997
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deviation 2/5   iterations 591/2000   F1 0.5650209015930403   accuracy 0.6818181818181818   precision 0.6835023041474655   recall 0.5834408998709202
deviation 2/5   iterations 601/2000   F1 0.569597348501814   accuracy 0.6897727272727273   precision 0.6839016897081414   recall 0.5846915676287493
deviation 2/5   iterations 611/2000   F1 0.5767923331096364   accuracy 0.7011363636363637   precision 0.686236559139785   recall 0.5873809359071934
deviation 2/5   iterations 621/2000   F1 0.6053558844256518   accuracy 0.7534090909090909   precision 0.6829800307219662   recall 0.5979708390356879
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deviation 2/5   iterations 631/2000   F1 0.5858388694196156   accuracy 0.7147727272727272   precision 0.6898617511520737   recall 0.5912775309575574
deviation 2/5   iterations 641/2000   F1 0.5968694368040267   accuracy 0.7306818181818182   precision 0.6947772657450078   recall 0.5966369134718564
deviation 2/5   iterations 651/2000   F1 0.5957090023660211   accuracy 0.7272727272727273   precision 0.6969585253456221   recall 0.5967195901298044
deviation 2/5   iterations 661/2000   F1 0.5959595959595959   accuracy 0.7295454545454545   precision 0.6941321044546851   recall 0.5961158196387176
deviation 2/5   iterations 671/2000   F1 0.5938528010998183   accuracy 0.7329545454545454   precision 0.6837173579109064   recall 0.592741935483871
deviation 2/5   iterations 681/2000   F1 0.5787925213126327   accuracy 0.7056818181818182   precision 0.6847004608294931   recall 0.5875384400335477
deviation 2/5   iterations 691/2000   F1 0.6017186114710495   accuracy 0.7511363636363636   precision 0.6775729646697388   recall 0.5950757974523634
deviation 2/5   iterations 701/2000   F1 0.5873816258762761   accuracy 0.7227272727272728   precision 0.6820276497695852   recall 0.5897515132786796
deviation 2/5   iterations 711/2000   F1 0.5920435184877286   accuracy 0.7306818181818182   precision 0.6824270353302612   recall 0.591683341979792
deviation 2/5   iterations 721/2000   F1 0.6052235366415732   accuracy 0.7511363636363636   precision 0.6858064516129032   recall 0.5984375
deviation 2/5   iterations 731/2000   F1 0.5678810637268294   accuracy 0.6875   precision 0.6826113671274963   recall 0.5838524738172626
deviation 2/5   iterations 741/2000   F1 0.595259027709941   accuracy 0.7431818181818182   precision 0.6730568356374809   recall 0.5909775116124323
deviation 2/5   iterations 751/2000   F1 0.5998609142215209   accuracy 0.7488636363636364   precision 0.6762826420890937   recall 0.593883347731616
deviation 2/5   iterations 761/2000   F1 0.5976608747561747   accuracy 0.7397727272727272   precision 0.6834715821812596   recall 0.5943408148822161
deviation 2/5   iterations 771/2000   F1 0.5759221939893104   accuracy 0.7   precision 0.6855913978494623   recall 0.5869363742595801
deviation 2/5   iterations 781/2000   F1 0.5727094833377144   accuracy 0.6977272727272728   precision 0.680184331797235   recall 0.58440354825897
deviation 2/5   iterations 791/2000   F1 0.59999231739406   accuracy 0.7579545454545454   precision 0.6649769585253456   recall 0.5919042142446398
deviation 2/5   iterations 801/2000   F1 0.6037496418191494   accuracy 0.7625   precision 0.667557603686636   recall 0.5944801685190831
deviation 2/5   iterations 811/2000   F1 0.6092518587262805   accuracy 0.7602272727272728   precision 0.6827342549923195   recall 0.6000295985362178
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deviation 2/5   iterations 821/2000   F1 0.6006900442315082   accuracy 0.7477272727272727   precision 0.6797542242703534   recall 0.5949843830154742
deviation 2/5   iterations 831/2000   F1 0.5907716488742768   accuracy 0.7397727272727272   precision 0.6670046082949308   recall 0.5875734611815651
deviation 2/5   iterations 841/2000   F1 0.5998609142215209   accuracy 0.7488636363636364   precision 0.6762826420890937   recall 0.593883347731616
deviation 2/5   iterations 851/2000   F1 0.5985786997022953   accuracy 0.740909090909091   precision 0.6841167434715822   recall 0.5948986248962813
deviation 2/5   iterations 861/2000   F1 0.5829455328236255   accuracy 0.7170454545454545   precision 0.6788018433179723   recall 0.5872804491793838
deviation 2/5   iterations 871/2000   F1 0.6094596951718991   accuracy 0.7715909090909091   precision 0.6686021505376344   recall 0.5981570512820513
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deviation 2/5   iterations 881/2000   F1 0.5820636934931117   accuracy 0.7159090909090909   precision 0.6781566820276498   recall 0.5867952655495088
deviation 2/5   iterations 891/2000   F1 0.5822326357782218   accuracy 0.7181818181818181   precision 0.6753302611367127   recall 0.5860986898878168
deviation 2/5   iterations 901/2000   F1 0.6133456683542683   accuracy 0.7738636363636363   precision 0.6740092165898617   recall 0.601304945054945
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deviation 2/5   iterations 911/2000   F1 0.6002518349684011   accuracy 0.740909090909091   precision 0.6882334869431643   recall 0.5965605713889467
deviation 2/5   iterations 921/2000   F1 0.6048893533143671   accuracy 0.7465909090909091   precision 0.6914592933947773   recall 0.599402817476521
deviation 2/5   iterations 931/2000   F1 0.6141633436715405   accuracy 0.7840909090909091   precision 0.6633486943164362   recall 0.6010076064407784
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deviation 2/5   iterations 941/2000   F1 0.6135874067937034   accuracy 0.759090909090909   precision 0.6944393241167435   recall 0.6043872670295234
deviation 2/5   iterations 951/2000   F1 0.6048893533143671   accuracy 0.7465909090909091   precision 0.6914592933947773   recall 0.599402817476521
deviation 2/5   iterations 961/2000   F1 0.6053558844256518   accuracy 0.7534090909090909   precision 0.6829800307219662   recall 0.5979708390356879
deviation 2/5   iterations 971/2000   F1 0.5889128364493008   accuracy 0.7352272727272727   precision 0.6685407066052227   recall 0.5870793650793651
deviation 2/5   iterations 981/2000   F1 0.5905266721975927   accuracy 0.7329545454545454   precision 0.675483870967742   recall 0.5893930288461539
deviation 2/5   iterations 991/2000   F1 0.6143001735106998   accuracy 0.7795454545454545   precision 0.6690015360983104   recall 0.6014802352437665
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deviation 2/5   iterations 1001/2000   F1 0.5947605403192795   accuracy 0.7340909090909091   precision 0.6843625192012288   recall 0.5932765063199846
deviation 2/5   iterations 1011/2000   F1 0.6052454805662641   accuracy 0.7761363636363636   precision 0.654715821812596   recall 0.5939103711660103
deviation 2/5   iterations 1021/2000   F1 0.606554026434119   accuracy 0.7613636363636364   precision 0.6751459293394777   recall 0.597279385165619
deviation 2/5   iterations 1031/2000   F1 0.608510192866302   accuracy 0.7681818181818182   precision 0.6707834101382488   recall 0.5978208079059062
deviation 2/5   iterations 1041/2000   F1 0.592332575816319   accuracy 0.7352272727272727   precision 0.6767741935483871   recall 0.5904694221529019
deviation 2/5   iterations 1051/2000   F1 0.6074906965442406   accuracy 0.7715909090909091   precision 0.6644854070660522   recall 0.5964031575005042
deviation 2/5   iterations 1061/2000   F1 0.6129083856520174   accuracy 0.7875   precision 0.6570506912442396   recall 0.5997938530734632
deviation 2/5   iterations 1071/2000   F1 0.600910381201132   accuracy 0.7545454545454545   precision 0.6712749615975422   recall 0.5934906995619772
deviation 2/5   iterations 1081/2000   F1 0.6131868131868131   accuracy 0.7670454545454546   precision 0.6824884792626729   recall 0.6022727272727273
deviation 2/5   iterations 1091/2000   F1 0.6152688526390948   accuracy 0.7738636363636363   precision 0.678125960061444   recall 0.6030206112295664
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deviation 2/5   iterations 1101/2000   F1 0.6074167565253066   accuracy 0.7738636363636363   precision 0.6616589861751152   recall 0.5960527468676071
deviation 2/5   iterations 1111/2000   F1 0.5998947091339826   accuracy 0.7625   precision 0.6593241167434716   recall 0.5909671353596587
deviation 2/5   iterations 1121/2000   F1 0.6192647634483186   accuracy 0.7852272727272728   precision 0.6722273425499232   recall 0.605309428631541
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deviation 2/5   iterations 1131/2000   F1 0.6152861682873847   accuracy 0.7806818181818181   precision 0.6696466973886328   recall 0.6022319973932877
deviation 2/5   iterations 1141/2000   F1 0.6113333807317015   accuracy 0.7670454545454546   precision 0.6783717357910906   recall 0.6005778985005128
deviation 2/5   iterations 1151/2000   F1 0.5896268544645468   accuracy 0.7318181818181818   precision 0.6748387096774193   recall 0.5888602282166746
deviation 2/5   iterations 1161/2000   F1 0.6106388267462093   accuracy 0.7977272727272727   precision 0.6422734254992319   recall 0.5981351981351981
deviation 2/5   iterations 1171/2000   F1 0.6101019051838724   accuracy 0.7818181818181819   precision 0.657941628264209   recall 0.5976641159887234
deviation 2/5   iterations 1181/2000   F1 0.6036689185478112   accuracy 0.7670454545454546   precision 0.661904761904762   recall 0.59363894811656
deviation 2/5   iterations 1191/2000   F1 0.6084538375973304   accuracy 0.7727272727272727   precision 0.6651305683563749   recall 0.5971093044263776
deviation 2/5   iterations 1201/2000   F1 0.6117315520300595   accuracy 0.7886363636363637   precision 0.65357910906298   recall 0.5987796299370055
deviation 2/5   iterations 1211/2000   F1 0.6089625922746381   accuracy 0.7829545454545455   precision 0.6544700460829493   recall 0.596620956831878
deviation 2/5   iterations 1221/2000   F1 0.6222527472527473   accuracy 0.7840909090909091   precision 0.679815668202765   recall 0.6079737896531114
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deviation 2/5   iterations 1231/2000   F1 0.6182764603817235   accuracy 0.7818181818181819   precision 0.6744086021505376   recall 0.604727012448439
deviation 2/5   iterations 1241/2000   F1 0.61367781231264   accuracy 0.8011363636363636   precision 0.6442089093701997   recall 0.600888957667045
deviation 2/5   iterations 1251/2000   F1 0.6075522266625188   accuracy 0.7670454545454546   precision 0.6701382488479262   recall 0.5971415340574219
deviation 2/5   iterations 1261/2000   F1 0.600932400932401   accuracy 0.7568181818181818   precision 0.6684485407066052   recall 0.593011026293469
deviation 2/5   iterations 1271/2000   F1 0.6114022079420003   accuracy 0.7715909090909091   precision 0.6727188940092166   recall 0.5998933901918977
deviation 2/5   iterations 1281/2000   F1 0.6160357435816883   accuracy 0.8011363636363636   precision 0.6483256528417819   recall 0.6027898896307399
deviation 2/5   iterations 1291/2000   F1 0.6028061487671516   accuracy 0.7613636363636364   precision 0.6669124423963133   recall 0.5938283630033365
deviation 2/5   iterations 1301/2000   F1 0.5936754619118593   accuracy 0.7806818181818181   precision 0.6284792626728111   recall 0.5836694516469797
deviation 2/5   iterations 1311/2000   F1 0.6117315520300595   accuracy 0.7886363636363637   precision 0.65357910906298   recall 0.5987796299370055
deviation 2/5   iterations 1321/2000   F1 0.6170484029177712   accuracy 0.7897727272727273   precision 0.6624577572964669   recall 0.6032296351824088
deviation 2/5   iterations 1331/2000   F1 0.6113623167612331   accuracy 0.7761363636363636   precision 0.6670660522273426   recall 0.5992654575192032
deviation 2/5   iterations 1341/2000   F1 0.6056008454106281   accuracy 0.7840909090909091   precision 0.6468817204301076   recall 0.5937076149932184
deviation 2/5   iterations 1351/2000   F1 0.6185858585858586   accuracy 0.7988636363636363   precision 0.6552688172043011   recall 0.6046810273405137
deviation 2/5   iterations 1361/2000   F1 0.6150454174357103   accuracy 0.7875   precision 0.6611674347158218   recall 0.6016005081962132
deviation 2/5   iterations 1371/2000   F1 0.6129083856520174   accuracy 0.7875   precision 0.6570506912442396   recall 0.5997938530734632
deviation 2/5   iterations 1381/2000   F1 0.6117315520300595   accuracy 0.7886363636363637   precision 0.65357910906298   recall 0.5987796299370055
deviation 2/5   iterations 1391/2000   F1 0.5992067633858678   accuracy 0.7818181818181819   precision 0.637357910906298   recall 0.5883464143725448
deviation 2/5   iterations 1401/2000   F1 0.6009109856041475   accuracy 0.7920454545454545   precision 0.6308141321044547   recall 0.5898130336471938
deviation 2/5   iterations 1411/2000   F1 0.6089625922746381   accuracy 0.7829545454545455   precision 0.6544700460829493   recall 0.596620956831878
deviation 2/5   iterations 1421/2000   F1 0.6068110948140142   accuracy 0.7829545454545455   precision 0.650353302611367   recall 0.5947832419199901
deviation 2/5   iterations 1431/2000   F1 0.6068404114343409   accuracy 0.7988636363636363   precision 0.6346850998463902   recall 0.5951388888888889
deviation 2/5   iterations 1441/2000   F1 0.6036914148557295   accuracy 0.7897727272727273   precision 0.6377572964669739   recall 0.5920542635658914
deviation 2/5   iterations 1451/2000   F1 0.6001665179898901   accuracy 0.7829545454545455   precision 0.6380030721966206   recall 0.5891269841269842
deviation 2/5   iterations 1461/2000   F1 0.6200814111261873   accuracy 0.7931818181818182   precision 0.6643932411674347   recall 0.6057351069799792
deviation 2/5   iterations 1471/2000   F1 0.6112583617316673   accuracy 0.7931818181818182   precision 0.647926267281106   recall 0.5984171497248816
deviation 2/5   iterations 1481/2000   F1 0.600488333854756   accuracy 0.7806818181818181   precision 0.6408294930875575   recall 0.5894865067466267
deviation 2/5   iterations 1491/2000   F1 0.5853186030682235   accuracy 0.7852272727272728   precision 0.6104761904761904   recall 0.5765601580596811
deviation 2/5   iterations 1501/2000   F1 0.6104284007509815   accuracy 0.8113636363636364   precision 0.629431643625192   recall 0.599937376056779
deviation 2/5   iterations 1511/2000   F1 0.6102604314144032   accuracy 0.7920454545454545   precision 0.6472811059907834   recall 0.5975627625280844
deviation 2/5   iterations 1521/2000   F1 0.5903424495706222   accuracy 0.7738636363636363   precision 0.6287250384024577   recall 0.5811487093675436
deviation 2/5   iterations 1531/2000   F1 0.6017009810113259   accuracy 0.8045454545454546   precision 0.6214439324116743   recall 0.5917160861616133
deviation 2/5   iterations 1541/2000   F1 0.6172248803827751   accuracy 0.7852272727272728   precision 0.6681105990783409   recall 0.6035610465116279
deviation 2/5   iterations 1551/2000   F1 0.6042852624920937   accuracy 0.7931818181818182   precision 0.6355760368663594   recall 0.59265480259677
deviation 2/5   iterations 1561/2000   F1 0.6024137139829355   accuracy 0.7829545454545455   precision 0.6421198156682028   recall 0.5910371863093926
deviation 2/5   iterations 1571/2000   F1 0.6009109856041475   accuracy 0.7920454545454545   precision 0.6308141321044547   recall 0.5898130336471938
deviation 2/5   iterations 1581/2000   F1 0.6004324801633592   accuracy 0.7943181818181818   precision 0.6279877112135177   recall 0.589540561917535
deviation 2/5   iterations 1591/2000   F1 0.6052726141767797   accuracy 0.7943181818181818   precision 0.636221198156682   recall 0.5935253619520097
deviation 2/5   iterations 1601/2000   F1 0.5989663777155371   accuracy 0.7897727272727273   precision 0.6295238095238095   recall 0.5881153023006955
deviation 2/5   iterations 1611/2000   F1 0.593512967754149   accuracy 0.7920454545454545   precision 0.6184639016897081   recall 0.5836805555555555
deviation 2/5   iterations 1621/2000   F1 0.5862252882597742   accuracy 0.7715909090909091   precision 0.6233179723502305   recall 0.577740076229432
deviation 2/5   iterations 1631/2000   F1 0.5893546580738964   accuracy 0.7840909090909091   precision 0.6180645161290323   recall 0.5799565575612313
deviation 2/5   iterations 1641/2000   F1 0.6052726141767797   accuracy 0.7943181818181818   precision 0.636221198156682   recall 0.5935253619520097
deviation 2/5   iterations 1651/2000   F1 0.5983589743589743   accuracy 0.7977272727272727   precision 0.6216897081413211   recall 0.5881201334816463
deviation 2/5   iterations 1661/2000   F1 0.5993394809625094   accuracy 0.7715909090909091   precision 0.6480184331797235   recall 0.5891984359726294
deviation 2/5   iterations 1671/2000   F1 0.5995308468214873   accuracy 0.7795454545454545   precision 0.640184331797235   recall 0.5887225354851254
deviation 2/5   iterations 1681/2000   F1 0.6113031283472654   accuracy 0.8181818181818182   precision 0.6250691244239631   recall 0.6024398345260742
deviation 2/5   iterations 1691/2000   F1 0.6030672079386558   accuracy 0.7863636363636364   precision 0.6399385560675883   recall 0.5915165834880376
deviation 2/5   iterations 1701/2000   F1 0.6020966958618726   accuracy 0.7852272727272728   precision 0.6392933947772658   recall 0.5907119305995711
deviation 2/5   iterations 1711/2000   F1 0.6116475806511934   accuracy 0.7988636363636363   precision 0.6429185867895546   recall 0.5990427851205886
deviation 2/5   iterations 1721/2000   F1 0.6038676918090642   accuracy 0.8011363636363636   precision 0.6277419354838709   recall 0.5929752066115702
deviation 2/5   iterations 1731/2000   F1 0.6119960185764564   accuracy 0.8102272727272727   precision 0.6329032258064516   recall 0.6009200851032063
deviation 2/5   iterations 1741/2000   F1 0.6068110948140142   accuracy 0.7829545454545455   precision 0.650353302611367   recall 0.5947832419199901
deviation 2/5   iterations 1751/2000   F1 0.6157253738878021   accuracy 0.803409090909091   precision 0.6454992319508448   recall 0.6027777777777777
deviation 2/5   iterations 1761/2000   F1 0.6102604314144032   accuracy 0.7920454545454545   precision 0.6472811059907834   recall 0.5975627625280844
deviation 2/5   iterations 1771/2000   F1 0.6109675708068493   accuracy 0.7954545454545454   precision 0.6450998463901689   recall 0.5982656313717658
deviation 2/5   iterations 1781/2000   F1 0.6149853341307009   accuracy 0.8079545454545455   precision 0.6398463901689708   recall 0.6028412377096588
deviation 2/5   iterations 1791/2000   F1 0.6046720575022462   accuracy 0.7909090909090909   precision 0.6384024577572964   recall 0.5928950255280891
deviation 2/5   iterations 1801/2000   F1 0.6073846153846154   accuracy 0.8022727272727272   precision 0.6325038402457757   recall 0.5959510567296996
deviation 2/5   iterations 1811/2000   F1 0.614602707729573   accuracy 0.8159090909090909   precision 0.6320122887864823   recall 0.6042971290983408
deviation 2/5   iterations 1821/2000   F1 0.6098447164669752   accuracy 0.8136363636363636   precision 0.626605222734255   recall 0.6000252429635239
deviation 2/5   iterations 1831/2000   F1 0.6155951328365121   accuracy 0.8113636363636364   precision 0.6376651305683564   recall 0.6039665525145939
deviation 2/5   iterations 1841/2000   F1 0.6170484029177712   accuracy 0.7897727272727273   precision 0.6624577572964669   recall 0.6032296351824088
deviation 2/5   iterations 1851/2000   F1 0.6155302478664841   accuracy 0.7954545454545454   precision 0.6533333333333333   recall 0.602014536713787
deviation 2/5   iterations 1861/2000   F1 0.6114644738849003   accuracy 0.8125   precision 0.6300768049155145   recall 0.6010057635787626
deviation 2/5   iterations 1871/2000   F1 0.6043798623863696   accuracy 0.7988636363636363   precision 0.6305683563748079   recall 0.593139661278446
deviation 2/5   iterations 1881/2000   F1 0.6185858585858586   accuracy 0.7988636363636363   precision 0.6552688172043011   recall 0.6046810273405137
deviation 2/5   iterations 1891/2000   F1 0.6191685179308156   accuracy 0.8125   precision 0.6424270353302611   recall 0.6069819819819819
deviation 2/5   iterations 1901/2000   F1 0.6067549523562326   accuracy 0.8102272727272727   precision 0.6246697388632872   recall 0.5968071300431315
deviation 2/5   iterations 1911/2000   F1 0.6160239361702128   accuracy 0.8090909090909091   precision 0.6404915514592934   recall 0.6038572298076835
deviation 2/5   iterations 1921/2000   F1 0.6079758319924244   accuracy 0.7920454545454545   precision 0.6431643625192013   recall 0.595667454999343
deviation 2/5   iterations 1931/2000   F1 0.6174482350160905   accuracy 0.8306818181818182   precision 0.6239324116743472   recall 0.6121602384447706
deviation 2/5   iterations 1941/2000   F1 0.6048679280339393   accuracy 0.8022727272727272   precision 0.6283870967741936   recall 0.5939261536801791
deviation 2/5   iterations 1951/2000   F1 0.6023979302076103   accuracy 0.7965909090909091   precision 0.6292780337941628   recall 0.5913194444444444
deviation 2/5   iterations 1961/2000   F1 0.6053201004010271   accuracy 0.8056818181818182   precision 0.6262058371735791   recall 0.594797666518978
deviation 2/5   iterations 1971/2000   F1 0.6077799615512668   accuracy 0.8113636363636364   precision 0.6253149001536098   recall 0.5978656225107727
deviation 2/5   iterations 1981/2000   F1 0.6058725609740312   accuracy 0.803409090909091   precision 0.6290322580645161   recall 0.5948886639676113
deviation 2/5   iterations 1991/2000   F1 0.6140750958832019   accuracy 0.8125   precision 0.6341935483870969   recall 0.6030344202898551

deviation 3/5   iterations 1/2000   F1 0.4709838787299483   accuracy 0.5897727272727272   precision 0.5447926267281106   recall 0.5195049123482951
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deviation 3/5   iterations 11/2000   F1 0.4973614138625271   accuracy 0.6102272727272727   precision 0.5934562211981567   recall 0.5406954344057022
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deviation 3/5   iterations 21/2000   F1 0.524646365705396   accuracy 0.6590909090909091   precision 0.6047311827956989   recall 0.5484477946234175
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deviation 3/5   iterations 31/2000   F1 0.4711853832850911   accuracy 0.553409090909091   precision 0.6023655913978494   recall 0.5430588867752875
deviation 3/5   iterations 41/2000   F1 0.41650089987685895   accuracy 0.46704545454545454   precision 0.5780337941628264   recall 0.5338082460175483
deviation 3/5   iterations 51/2000   F1 0.47432351708156795   accuracy 0.5579545454545455   precision 0.6049462365591398   recall 0.5441699768288646
deviation 3/5   iterations 61/2000   F1 0.42545972915181757   accuracy 0.47954545454545455   precision 0.5851305683563748   recall 0.5365808580858086
deviation 3/5   iterations 71/2000   F1 0.46102918329787995   accuracy 0.5340909090909091   precision 0.6037480798771121   recall 0.5436352265620559
deviation 3/5   iterations 81/2000   F1 0.4358681151133982   accuracy 0.4954545454545455   precision 0.5900460829493088   recall 0.5383239452089185
deviation 3/5   iterations 91/2000   F1 0.4602363033171112   accuracy 0.5329545454545455   precision 0.6031029185867895   recall 0.5433690348192871
deviation 3/5   iterations 101/2000   F1 0.49715947996996557   accuracy 0.5875   precision 0.6299539170506913   recall 0.5550334103540873
deviation 3/5   iterations 111/2000   F1 0.4409503843466107   accuracy 0.5   precision 0.6008602150537634   recall 0.5429264797410028
deviation 3/5   iterations 121/2000   F1 0.5517750725818774   accuracy 0.6818181818181818   precision 0.6464516129032258   recall 0.5683817327388841
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deviation 3/5   iterations 131/2000   F1 0.4760875887512923   accuracy 0.5556818181818182   precision 0.6160061443932412   recall 0.548776455026455
deviation 3/5   iterations 141/2000   F1 0.5377298657216998   accuracy 0.6602272727272728   precision 0.6383102918586789   recall 0.5626405307330974
deviation 3/5   iterations 151/2000   F1 0.564339344528741   accuracy 0.6988636363636364   precision 0.6561290322580645   recall 0.5747863247863247
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deviation 3/5   iterations 161/2000   F1 0.49434920634920637   accuracy 0.5886363636363636   precision 0.6182488479262673   recall 0.5502283700900431
deviation 3/5   iterations 171/2000   F1 0.5408219736432938   accuracy 0.6625   precision 0.6437173579109063   recall 0.5650893831118236
deviation 3/5   iterations 181/2000   F1 0.531106930450632   accuracy 0.6488636363636363   precision 0.6359754224270353   recall 0.5606753525915202
deviation 3/5   iterations 191/2000   F1 0.5509478436307705   accuracy 0.6806818181818182   precision 0.6458064516129032   recall 0.5679724558307936
deviation 3/5   iterations 201/2000   F1 0.4520877069870537   accuracy 0.5170454545454546   precision 0.6064208909370199   recall 0.5449692588899967
deviation 3/5   iterations 211/2000   F1 0.5720332221369463   accuracy 0.7090909090909091   precision 0.6619354838709677   recall 0.5788925409055804
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deviation 3/5   iterations 221/2000   F1 0.5246979525004644   accuracy 0.6397727272727273   precision 0.6308141321044547   recall 0.5578545185764908
deviation 3/5   iterations 231/2000   F1 0.5535294117647058   accuracy 0.6863636363636364   precision 0.644915514592934   recall 0.5683326090105751
deviation 3/5   iterations 241/2000   F1 0.5404914868485495   accuracy 0.6704545454545454   precision 0.6317665130568357   recall 0.5609541188441882
deviation 3/5   iterations 251/2000   F1 0.5377611766079141   accuracy 0.6522727272727272   precision 0.6502611367127497   recall 0.5668202261313398
deviation 3/5   iterations 261/2000   F1 0.5205280947814869   accuracy 0.6261363636363636   precision 0.6395391705069124   recall 0.5605548326542802
deviation 3/5   iterations 271/2000   F1 0.5652796947002436   accuracy 0.7022727272727273   precision 0.6539477726574501   recall 0.5744271294387443
deviation 3/5   iterations 281/2000   F1 0.5345059415334003   accuracy 0.6477272727272727   precision 0.6476804915514593   recall 0.5653839248309295
deviation 3/5   iterations 291/2000   F1 0.51875   accuracy 0.6181818181818182   precision 0.647373271889401   recall 0.5633267326732674
deviation 3/5   iterations 301/2000   F1 0.5644310446390428   accuracy 0.7011363636363637   precision 0.6533026113671275   recall 0.5739759007566594
deviation 3/5   iterations 311/2000   F1 0.5287888463175819   accuracy 0.634090909090909   precision 0.6522887864823349   recall 0.5662562353305995
deviation 3/5   iterations 321/2000   F1 0.5644310446390428   accuracy 0.7011363636363637   precision 0.6533026113671275   recall 0.5739759007566594
deviation 3/5   iterations 331/2000   F1 0.5167677707360248   accuracy 0.6136363636363636   precision 0.6489093701996927   recall 0.5637363966778702
deviation 3/5   iterations 341/2000   F1 0.5211694289621907   accuracy 0.6215909090909091   precision 0.6493087557603687   recall 0.5642938785877571
deviation 3/5   iterations 351/2000   F1 0.5486582947785856   accuracy 0.6693181818181818   precision 0.6558218125960061   recall 0.5707589285714286
deviation 3/5   iterations 361/2000   F1 0.5358776132404182   accuracy 0.6477272727272727   precision 0.6517972350230414   recall 0.567063537306383
deviation 3/5   iterations 371/2000   F1 0.5205280947814869   accuracy 0.6261363636363636   precision 0.6395391705069124   recall 0.5605548326542802
deviation 3/5   iterations 381/2000   F1 0.5620377190490066   accuracy 0.6875   precision 0.6661443932411675   recall 0.5772112573099415
deviation 3/5   iterations 391/2000   F1 0.5599052465032507   accuracy 0.6806818181818182   precision 0.6705069124423964   recall 0.5780704913236254
deviation 3/5   iterations 401/2000   F1 0.5178192937903157   accuracy 0.6204545454545455   precision 0.6404301075268817   recall 0.5606043731670193
deviation 3/5   iterations 411/2000   F1 0.5559346126510305   accuracy 0.6772727272727272   precision 0.6644546850998464   recall 0.5751931451046495
deviation 3/5   iterations 421/2000   F1 0.5506906801888442   accuracy 0.6681818181818182   precision 0.663410138248848   recall 0.5737214137214137
deviation 3/5   iterations 431/2000   F1 0.5649915245249509   accuracy 0.6875   precision 0.6743778801843319   recall 0.5805444555444556
deviation 3/5   iterations 441/2000   F1 0.5440697987689884   accuracy 0.6590909090909091   precision 0.6582488479262673   recall 0.5706968394354135
deviation 3/5   iterations 451/2000   F1 0.5712639878945126   accuracy 0.7102272727272727   precision 0.6584639016897081   recall 0.5776601382766013
deviation 3/5   iterations 461/2000   F1 0.5203624044543371   accuracy 0.6204545454545455   precision 0.6486635944700461   recall 0.5639703666100861
deviation 3/5   iterations 471/2000   F1 0.5626462359767027   accuracy 0.696590909090909   precision 0.6548387096774193   recall 0.573902027027027
deviation 3/5   iterations 481/2000   F1 0.5731022752698306   accuracy 0.7215909090909091   precision 0.6484485407066052   recall 0.5756209935897436
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deviation 3/5   iterations 491/2000   F1 0.56   accuracy 0.6909090909090909   precision 0.6557296466973886   recall 0.5734318412284514
deviation 3/5   iterations 501/2000   F1 0.5488532407103539   accuracy 0.6715909090909091   precision 0.652995391705069   recall 0.569855911661729
deviation 3/5   iterations 511/2000   F1 0.5696687376650905   accuracy 0.7147727272727272   precision 0.648694316436252   recall 0.5744047619047619
deviation 3/5   iterations 521/2000   F1 0.5574824775861218   accuracy 0.6875   precision 0.653794162826421   recall 0.5721591826379759
deviation 3/5   iterations 531/2000   F1 0.5739790295664221   accuracy 0.7204545454545455   precision 0.6519201228878648   recall 0.5768625768625768
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deviation 3/5   iterations 541/2000   F1 0.5573400451449233   accuracy 0.6852272727272727   precision 0.656620583717358   recall 0.5730138179151676
deviation 3/5   iterations 551/2000   F1 0.5661963574350161   accuracy 0.7056818181818182   precision 0.6517665130568356   recall 0.5740834053172089
deviation 3/5   iterations 561/2000   F1 0.5556673585988103   accuracy 0.6829545454545455   precision 0.6553302611367128   recall 0.5721856725146199
deviation 3/5   iterations 571/2000   F1 0.5602777193351567   accuracy 0.6977272727272728   precision 0.6472503840245776   recall 0.5709229303170742
deviation 3/5   iterations 581/2000   F1 0.5560245494916939   accuracy 0.6897727272727273   precision 0.6468509984639017   recall 0.5695997577113037
deviation 3/5   iterations 591/2000   F1 0.5591594964024817   accuracy 0.6897727272727273   precision 0.6550844854070661   recall 0.5730053683820807
deviation 3/5   iterations 601/2000   F1 0.5677433560866546   accuracy 0.7034090909090909   precision 0.6587096774193548   recall 0.5765850708033872
deviation 3/5   iterations 611/2000   F1 0.6027209930221957   accuracy 0.7659090909090909   precision 0.6612596006144393   recall 0.5929625457817072
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deviation 3/5   iterations 621/2000   F1 0.5580126467931347   accuracy 0.6840909090909091   precision 0.6600921658986175   recall 0.5742836778332145
deviation 3/5   iterations 631/2000   F1 0.5670889189521584   accuracy 0.7090909090909091   precision 0.6495852534562212   recall 0.5737552942031883
deviation 3/5   iterations 641/2000   F1 0.5594805194805195   accuracy 0.6988636363636364   precision 0.6437788018433179   recall 0.5696428571428571
deviation 3/5   iterations 651/2000   F1 0.559486067078258   accuracy 0.7034090909090909   precision 0.638125960061444   recall 0.5679663312693498
deviation 3/5   iterations 661/2000   F1 0.5870292156206662   accuracy 0.7465909090909091   precision 0.6502918586789554   recall 0.5822704768055107
deviation 3/5   iterations 671/2000   F1 0.5586113233172056   accuracy 0.7045454545454546   precision 0.6346543778801843   recall 0.5666680863232314
deviation 3/5   iterations 681/2000   F1 0.5894919617481146   accuracy 0.7545454545454545   precision 0.6465745007680491   recall 0.582904129393693
deviation 3/5   iterations 691/2000   F1 0.5486979685505353   accuracy 0.6840909090909091   precision 0.6353917050691245   recall 0.5640585844608148
deviation 3/5   iterations 701/2000   F1 0.5738636363636364   accuracy 0.7272727272727273   precision 0.6434408602150538   recall 0.5746557425280299
deviation 3/5   iterations 711/2000   F1 0.581664829496034   accuracy 0.7397727272727272   precision 0.6464208909370199   recall 0.5788216771188908
deviation 3/5   iterations 721/2000   F1 0.5652826848141386   accuracy 0.7159090909090909   precision 0.6369892473118279   recall 0.5696235736457833
deviation 3/5   iterations 731/2000   F1 0.5713368286480607   accuracy 0.7215909090909091   precision 0.6443317972350231   recall 0.5738660662624839
deviation 3/5   iterations 741/2000   F1 0.5782909622512178   accuracy 0.7306818181818182   precision 0.6494930875576037   recall 0.57799876894668
deviation 3/5   iterations 751/2000   F1 0.5738636363636364   accuracy 0.7272727272727273   precision 0.6434408602150538   recall 0.5746557425280299
deviation 3/5   iterations 761/2000   F1 0.5577761732851986   accuracy 0.7034090909090909   precision 0.6340092165898618   recall 0.5662112932604736
deviation 3/5   iterations 771/2000   F1 0.5620066208301503   accuracy 0.7068181818181818   precision 0.6400614439324117   recall 0.5693451529882757
deviation 3/5   iterations 781/2000   F1 0.5965153599266391   accuracy 0.7681818181818182   precision 0.6460829493087558   recall 0.5871013122898028
deviation 3/5   iterations 791/2000   F1 0.5922928078925136   accuracy 0.7681818181818182   precision 0.6378494623655915   recall 0.5833698746200325
deviation 3/5   iterations 801/2000   F1 0.5696173958842783   accuracy 0.7193181818181819   precision 0.6430414746543779   recall 0.5728665865384616
deviation 3/5   iterations 811/2000   F1 0.579773579869503   accuracy 0.7397727272727272   precision 0.6423041474654377   recall 0.5770274584929758
deviation 3/5   iterations 821/2000   F1 0.5870292156206662   accuracy 0.7465909090909091   precision 0.6502918586789554   recall 0.5822704768055107
deviation 3/5   iterations 831/2000   F1 0.5849685546670764   accuracy 0.7488636363636364   precision 0.6433486943164363   recall 0.5798556915578192
deviation 3/5   iterations 841/2000   F1 0.545293586269196   accuracy 0.675   precision 0.6384639016897081   recall 0.564248039914469
deviation 3/5   iterations 851/2000   F1 0.5796216679187948   accuracy 0.7420454545454546   precision 0.6394777265745007   recall 0.5763507695619416
deviation 3/5   iterations 861/2000   F1 0.5976260684558248   accuracy 0.7772727272727272   precision 0.6388940092165899   recall 0.5872167048637638
deviation 3/5   iterations 871/2000   F1 0.5925596281612141   accuracy 0.7659090909090909   precision 0.6406758832565285   recall 0.5838773730757113
deviation 3/5   iterations 881/2000   F1 0.5913194444444444   accuracy 0.7568181818181818   precision 0.6478648233486943   recall 0.5841580695925861
deviation 3/5   iterations 891/2000   F1 0.5925596281612141   accuracy 0.7659090909090909   precision 0.6406758832565285   recall 0.5838773730757113
deviation 3/5   iterations 901/2000   F1 0.5907123179850453   accuracy 0.7636363636363637   precision 0.6393855606758833   recall 0.5825323253123386
deviation 3/5   iterations 911/2000   F1 0.5825381314340305   accuracy 0.7534090909090909   precision 0.6335791090629801   recall 0.5767568636312281
deviation 3/5   iterations 921/2000   F1 0.5827839945964552   accuracy 0.7511363636363636   precision 0.6364055299539171   recall 0.5773929049531459
deviation 3/5   iterations 931/2000   F1 0.590404378256794   accuracy 0.7556818181818182   precision 0.6472196620583717   recall 0.5835285586791611
deviation 3/5   iterations 941/2000   F1 0.5934876908343191   accuracy 0.7670454545454546   precision 0.6413210445468509   recall 0.5845588235294117
deviation 3/5   iterations 951/2000   F1 0.5836805555555555   accuracy 0.7522727272727273   precision 0.6370506912442396   recall 0.5780031474033922
deviation 3/5   iterations 961/2000   F1 0.5836805555555555   accuracy 0.7522727272727273   precision 0.6370506912442396   recall 0.5780031474033922
deviation 3/5   iterations 971/2000   F1 0.5869150104396993   accuracy 0.7488636363636364   precision 0.6474654377880185   recall 0.581663763066202
deviation 3/5   iterations 981/2000   F1 0.6007733271913845   accuracy 0.7784090909090909   precision 0.6436559139784946   recall 0.5898567211905055
deviation 3/5   iterations 991/2000   F1 0.5995308468214873   accuracy 0.7795454545454545   precision 0.640184331797235   recall 0.5887225354851254
deviation 3/5   iterations 1001/2000   F1 0.5953528091312906   accuracy 0.7693181818181818   precision 0.6426113671274962   recall 0.5859400456174649
deviation 3/5   iterations 1011/2000   F1 0.6095270811863048   accuracy 0.7886363636363637   precision 0.6494623655913978   recall 0.5969285697208297
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deviation 3/5   iterations 1021/2000   F1 0.593222636066399   accuracy 0.7829545454545455   precision 0.6256528417818741   recall 0.5832356484647194
deviation 3/5   iterations 1031/2000   F1 0.586143856077684   accuracy 0.7579545454545454   precision 0.6361597542242703   recall 0.5792696886446886
deviation 3/5   iterations 1041/2000   F1 0.5973816516247102   accuracy 0.7965909090909091   precision 0.6210445468509984   recall 0.5872113613826321
deviation 3/5   iterations 1051/2000   F1 0.5944596108814703   accuracy 0.7761363636363636   precision 0.6341321044546852   recall 0.5845573425056552
deviation 3/5   iterations 1061/2000   F1 0.5966786946497576   accuracy 0.7761363636363636   precision 0.6382488479262672   recall 0.5864746033698192
deviation 3/5   iterations 1071/2000   F1 0.586013986013986   accuracy 0.7477272727272727   precision 0.6468202764976958   recall 0.5810687022900763
deviation 3/5   iterations 1081/2000   F1 0.5917809289425368   accuracy 0.7840909090909091   precision 0.6221812596006144   recall 0.5820074398502132
deviation 3/5   iterations 1091/2000   F1 0.5967597878173614   accuracy 0.7988636363636363   precision 0.6182181259600614   recall 0.5869360902255639
deviation 3/5   iterations 1101/2000   F1 0.5984427033272168   accuracy 0.7863636363636364   precision 0.6317050691244239   recall 0.5876249887581656
deviation 3/5   iterations 1111/2000   F1 0.5897930006981013   accuracy 0.7625   precision 0.6387403993855607   recall 0.581868546235062
deviation 3/5   iterations 1121/2000   F1 0.6028717948717949   accuracy 0.8   precision 0.6270967741935485   recall 0.592035595105673
deviation 3/5   iterations 1131/2000   F1 0.5989663777155371   accuracy 0.7897727272727273   precision 0.6295238095238095   recall 0.5881153023006955
deviation 3/5   iterations 1141/2000   F1 0.5989304812834224   accuracy 0.7954545454545454   precision 0.6245161290322581   recall 0.5883861513097637
deviation 3/5   iterations 1151/2000   F1 0.6066449882602588   accuracy 0.7931818181818182   precision 0.6396927803379416   recall 0.5946038166096589
deviation 3/5   iterations 1161/2000   F1 0.5891147113495608   accuracy 0.759090909090909   precision 0.6409216589861751   recall 0.5817711193034748
deviation 3/5   iterations 1171/2000   F1 0.593222636066399   accuracy 0.7829545454545455   precision 0.6256528417818741   recall 0.5832356484647194
deviation 3/5   iterations 1181/2000   F1 0.6099362395776233   accuracy 0.8079545454545455   precision 0.6316129032258064   recall 0.598859105006646
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deviation 3/5   iterations 1191/2000   F1 0.5999095783455377   accuracy 0.7965909090909091   precision 0.6251612903225807   recall 0.5892825835407973
deviation 3/5   iterations 1201/2000   F1 0.599818099135971   accuracy 0.7772727272727272   precision 0.6430107526881721   recall 0.5891086455485877
deviation 3/5   iterations 1211/2000   F1 0.5989304812834224   accuracy 0.7954545454545454   precision 0.6245161290322581   recall 0.5883861513097637
deviation 3/5   iterations 1221/2000   F1 0.5979554489808797   accuracy 0.7943181818181818   precision 0.6238709677419355   recall 0.5875
deviation 3/5   iterations 1231/2000   F1 0.6004324801633592   accuracy 0.7943181818181818   precision 0.6279877112135177   recall 0.589540561917535
deviation 3/5   iterations 1241/2000   F1 0.595031833837804   accuracy 0.7795454545454545   precision 0.6319508448540707   recall 0.584868675851058
deviation 3/5   iterations 1251/2000   F1 0.6014492753623188   accuracy 0.7818181818181819   precision 0.6414746543778802   recall 0.5902580144412823
deviation 3/5   iterations 1261/2000   F1 0.6108845973344619   accuracy 0.8147727272727273   precision 0.6272503840245776   recall 0.6011269971483261
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deviation 3/5   iterations 1271/2000   F1 0.6114644738849003   accuracy 0.8125   precision 0.6300768049155145   recall 0.6010057635787626
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deviation 3/5   iterations 1281/2000   F1 0.6068404114343409   accuracy 0.7988636363636363   precision 0.6346850998463902   recall 0.5951388888888889
deviation 3/5   iterations 1291/2000   F1 0.6036914148557295   accuracy 0.7897727272727273   precision 0.6377572964669739   recall 0.5920542635658914
deviation 3/5   iterations 1301/2000   F1 0.6099362395776233   accuracy 0.8079545454545455   precision 0.6316129032258064   recall 0.598859105006646
deviation 3/5   iterations 1311/2000   F1 0.6156590194530575   accuracy 0.8170454545454545   precision 0.632657450076805   recall 0.6054240400015626
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deviation 3/5   iterations 1321/2000   F1 0.6161739954135682   accuracy 0.8147727272727273   precision 0.635483870967742   recall 0.6052043971143937
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deviation 3/5   iterations 1331/2000   F1 0.6125055041831792   accuracy 0.8136363636363636   precision 0.6307219662058372   recall 0.6020883117880209
deviation 3/5   iterations 1341/2000   F1 0.5954022988505747   accuracy 0.7772727272727272   precision 0.6347772657450077   recall 0.585300408321991
deviation 3/5   iterations 1351/2000   F1 0.599818099135971   accuracy 0.7772727272727272   precision 0.6430107526881721   recall 0.5891086455485877
deviation 3/5   iterations 1361/2000   F1 0.6134169669469283   accuracy 0.8204545454545454   precision 0.6263594470046083   recall 0.6047962168387366
deviation 3/5   iterations 1371/2000   F1 0.6129221445677142   accuracy 0.8056818181818182   precision 0.6385560675883256   recall 0.6008461235733963
deviation 3/5   iterations 1381/2000   F1 0.6133204304680336   accuracy 0.803409090909091   precision 0.6413824884792627   recall 0.6008538167537432
deviation 3/5   iterations 1391/2000   F1 0.6083949181883892   accuracy 0.803409090909091   precision 0.6331490015360983   recall 0.5969106650924833
deviation 3/5   iterations 1401/2000   F1 0.6018891374596073   accuracy 0.7931818181818182   precision 0.6314592933947772   recall 0.5906759906759906
deviation 3/5   iterations 1411/2000   F1 0.5980557557708199   accuracy 0.803409090909091   precision 0.6166820276497695   recall 0.5886025157702214
deviation 3/5   iterations 1421/2000   F1 0.6043124091560268   accuracy 0.8045454545454546   precision 0.6255606758832565   recall 0.593808242822648
deviation 3/5   iterations 1431/2000   F1 0.6129797120293707   accuracy 0.8170454545454545   precision 0.6285407066052227   recall 0.603376027830487
deviation 3/5   iterations 1441/2000   F1 0.5998065442890863   accuracy 0.7852272727272728   precision 0.6351766513056836   recall 0.5887784090909091
deviation 3/5   iterations 1451/2000   F1 0.6056565656565657   accuracy 0.7920454545454545   precision 0.6390476190476191   recall 0.593744821872411
deviation 3/5   iterations 1461/2000   F1 0.614602707729573   accuracy 0.8159090909090909   precision 0.6320122887864823   recall 0.6042971290983408
deviation 3/5   iterations 1471/2000   F1 0.6058725609740312   accuracy 0.803409090909091   precision 0.6290322580645161   recall 0.5948886639676113
deviation 3/5   iterations 1481/2000   F1 0.6089134276542125   accuracy 0.8068181818181818   precision 0.6309677419354839   recall 0.5978479420486784
deviation 3/5   iterations 1491/2000   F1 0.6102706565610814   accuracy 0.8   precision 0.639447004608295   recall 0.5980269352706917
deviation 3/5   iterations 1501/2000   F1 0.6073492643079108   accuracy 0.8079545454545455   precision 0.6274961597542242   recall 0.596814228658878
deviation 3/5   iterations 1511/2000   F1 0.6040681619182326   accuracy 0.8102272727272727   precision 0.620552995391705   recall 0.5946911196911198
deviation 3/5   iterations 1521/2000   F1 0.6038676918090642   accuracy 0.8011363636363636   precision 0.6277419354838709   recall 0.5929752066115702
deviation 3/5   iterations 1531/2000   F1 0.6098447164669752   accuracy 0.8136363636363636   precision 0.626605222734255   recall 0.6000252429635239
deviation 3/5   iterations 1541/2000   F1 0.6027025100393654   accuracy 0.8056818181818182   precision 0.6220890937019969   recall 0.5927083722145496
deviation 3/5   iterations 1551/2000   F1 0.6013468013468013   accuracy 0.7897727272727273   precision 0.6336405529953917   recall 0.59009942004971
deviation 3/5   iterations 1561/2000   F1 0.6166288635744018   accuracy 0.8238636363636364   precision 0.6282949308755761   recall 0.6084607712765957
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deviation 3/5   iterations 1571/2000   F1 0.6123573559846074   accuracy 0.8193181818181818   precision 0.6257142857142857   recall 0.6036096256684492
deviation 3/5   iterations 1581/2000   F1 0.6047193406318856   accuracy 0.8079545454545455   precision 0.623379416282642   recall 0.5947312801932367
deviation 3/5   iterations 1591/2000   F1 0.6166288635744018   accuracy 0.8238636363636364   precision 0.6282949308755761   recall 0.6084607712765957
deviation 3/5   iterations 1601/2000   F1 0.6063323649530545   accuracy 0.8068181818181818   precision 0.6268509984639017   recall 0.5957995749459402
deviation 3/5   iterations 1611/2000   F1 0.6058725609740312   accuracy 0.803409090909091   precision 0.6290322580645161   recall 0.5948886639676113
deviation 3/5   iterations 1621/2000   F1 0.615971523022028   accuracy 0.8261363636363637   precision 0.625468509984639   recall 0.6089136371394436
deviation 3/5   iterations 1631/2000   F1 0.610254209546131   accuracy 0.8170454545454545   precision 0.6244239631336406   recall 0.6012864631267256
deviation 3/5   iterations 1641/2000   F1 0.5975142928163062   accuracy 0.7909090909090909   precision 0.62605222734255   recall 0.5869463869463869
deviation 3/5   iterations 1651/2000   F1 0.6063323649530545   accuracy 0.8068181818181818   precision 0.6268509984639017   recall 0.5957995749459402
deviation 3/5   iterations 1661/2000   F1 0.6133975327733455   accuracy 0.8295454545454546   precision 0.6191705069124425   recall 0.6086299022078838
deviation 3/5   iterations 1671/2000   F1 0.6099362395776233   accuracy 0.8079545454545455   precision 0.6316129032258064   recall 0.598859105006646
deviation 3/5   iterations 1681/2000   F1 0.6167205653371661   accuracy 0.8181818181818182   precision 0.6333026113671275   recall 0.6065663958503208
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deviation 3/5   iterations 1691/2000   F1 0.6054126469317973   accuracy 0.8147727272727273   precision 0.6190168970814132   recall 0.5968848785562803
deviation 3/5   iterations 1701/2000   F1 0.6081720065887418   accuracy 0.8147727272727273   precision 0.6231336405529955   recall 0.599027514231499
deviation 3/5   iterations 1711/2000   F1 0.6222993314069472   accuracy 0.8386363636363636   precision 0.6243317972350231   recall 0.6203905329668369
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deviation 3/5   iterations 1721/2000   F1 0.6144820369724451   accuracy 0.821590909090909   precision 0.6270046082949309   recall 0.606
deviation 3/5   iterations 1731/2000   F1 0.6064444174516062   accuracy 0.8159090909090909   precision 0.6196620583717358   recall 0.5980110919869956
deviation 3/5   iterations 1741/2000   F1 0.6088098605778945   accuracy 0.8125   precision 0.6259600614439325   recall 0.5989382239382239
deviation 3/5   iterations 1751/2000   F1 0.6130934420717777   accuracy 0.8261363636363637   precision 0.6213517665130569   recall 0.6067844629958044
deviation 3/5   iterations 1761/2000   F1 0.6023105053191489   accuracy 0.8022727272727272   precision 0.6242703533026114   recall 0.5918658418045222
deviation 3/5   iterations 1771/2000   F1 0.6000414630062274   accuracy 0.8056818181818182   precision 0.6179723502304147   recall 0.5905797101449275
deviation 3/5   iterations 1781/2000   F1 0.6155844155844156   accuracy 0.8318181818181818   precision 0.6204608294930876   recall 0.6114236999147485
deviation 3/5   iterations 1791/2000   F1 0.6077811879400614   accuracy 0.8204545454545454   precision 0.6181259600614439   recall 0.6005165688950236
deviation 3/5   iterations 1801/2000   F1 0.5955707426791816   accuracy 0.8068181818181818   precision 0.610384024577573   recall 0.5872095845590735
deviation 3/5   iterations 1811/2000   F1 0.6234420095232025   accuracy 0.8397727272727272   precision 0.6249769585253456   recall 0.6219775474956822
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deviation 3/5   iterations 1821/2000   F1 0.5999095783455377   accuracy 0.7965909090909091   precision 0.6251612903225807   recall 0.5892825835407973
deviation 3/5   iterations 1831/2000   F1 0.6138154411535707   accuracy 0.8238636363636364   precision 0.6241781874039939   recall 0.6063639425708391
deviation 3/5   iterations 1841/2000   F1 0.6152587766920015   accuracy 0.8284090909090909   precision 0.622642089093702   recall 0.6094298245614036
deviation 3/5   iterations 1851/2000   F1 0.6085235108323324   accuracy 0.8181818181818182   precision 0.6209523809523809   recall 0.6003118662032838
deviation 3/5   iterations 1861/2000   F1 0.6050867252043773   accuracy 0.8113636363636364   precision 0.6211981566820277   recall 0.5957533568287071
deviation 3/5   iterations 1871/2000   F1 0.6050867252043773   accuracy 0.8113636363636364   precision 0.6211981566820277   recall 0.5957533568287071
deviation 3/5   iterations 1881/2000   F1 0.6138154411535707   accuracy 0.8238636363636364   precision 0.6241781874039939   recall 0.6063639425708391
deviation 3/5   iterations 1891/2000   F1 0.6155526430755789   accuracy 0.8227272727272728   precision 0.6276497695852534   recall 0.6072213792462763
deviation 3/5   iterations 1901/2000   F1 0.6125055041831792   accuracy 0.8136363636363636   precision 0.6307219662058372   recall 0.6020883117880209
deviation 3/5   iterations 1911/2000   F1 0.6170583115752829   accuracy 0.8272727272727273   precision 0.6261136712749616   recall 0.6102179119545489
deviation 3/5   iterations 1921/2000   F1 0.624591682511823   accuracy 0.8409090909090909   precision 0.6256221198156682   recall 0.6235929924677491
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deviation 3/5   iterations 1931/2000   F1 0.5977393617021276   accuracy 0.8   precision 0.6188632872503841   recall 0.5878687124701352
deviation 3/5   iterations 1941/2000   F1 0.6243264759838931   accuracy 0.8318181818181818   precision 0.632811059907834   recall 0.6176787639238231
deviation 3/5   iterations 1951/2000   F1 0.631760367276285   accuracy 0.8420454545454545   precision 0.6345007680491551   recall 0.6292207792207792
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deviation 3/5   iterations 1961/2000   F1 0.6155526430755789   accuracy 0.8227272727272728   precision 0.6276497695852534   recall 0.6072213792462763
deviation 3/5   iterations 1971/2000   F1 0.6253118403377471   accuracy 0.8386363636363636   precision 0.6284485407066053   recall 0.6224534026874728
deviation 3/5   iterations 1981/2000   F1 0.618798467719331   accuracy 0.8261363636363637   precision 0.6295852534562212   recall 0.6109953265125678
deviation 3/5   iterations 1991/2000   F1 0.6282678280322231   accuracy 0.8386363636363636   precision 0.6325652841781874   recall 0.6244649305996238

deviation 4/5   iterations 1/2000   F1 0.5416516421357052   accuracy 0.8375   precision 0.5372350230414746   recall 0.5548753984352361
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deviation 4/5   iterations 11/2000   F1 0.375818156921813   accuracy 0.4113636363636364   precision 0.54642089093702   recall 0.5212248911363956
deviation 4/5   iterations 21/2000   F1 0.4604088222787805   accuracy 0.5477272727272727   precision 0.5744393241167435   recall 0.5313471918194568
deviation 4/5   iterations 31/2000   F1 0.4535094535094535   accuracy 0.5204545454545455   precision 0.6042396313364056   recall 0.5439801732764387
deviation 4/5   iterations 41/2000   F1 0.4503096846846847   accuracy 0.5159090909090909   precision 0.6016589861751152   recall 0.5429430177689876
deviation 4/5   iterations 51/2000   F1 0.4366726346074092   accuracy 0.4965909090909091   precision 0.5906912442396314   recall 0.538578956172633
deviation 4/5   iterations 61/2000   F1 0.40403232969180214   accuracy 0.44545454545454544   precision 0.5822427035330261   recall 0.5365728369154767
deviation 4/5   iterations 71/2000   F1 0.38530601420816873   accuracy 0.4193181818181818   precision 0.571520737327189   recall 0.5328412784398701
deviation 4/5   iterations 81/2000   F1 0.4856063235010603   accuracy 0.5693181818181818   precision 0.6237480798771121   recall 0.5521221532091097
deviation 4/5   iterations 91/2000   F1 0.3667160748426457   accuracy 0.39090909090909093   precision 0.5759754224270353   recall 0.537014087205369
deviation 4/5   iterations 101/2000   F1 0.4387039163158566   accuracy 0.4943181818181818   precision 0.605867895545315   recall 0.5452858554637398
deviation 4/5   iterations 111/2000   F1 0.45101819566088996   accuracy 0.5102272727272728   precision 0.6190168970814132   recall 0.550578638424098
deviation 4/5   iterations 121/2000   F1 0.42723763353981503   accuracy 0.4727272727272727   precision 0.6141935483870968   recall 0.5499513521939892
deviation 4/5   iterations 131/2000   F1 0.4727632504211025   accuracy 0.5420454545454545   precision 0.6329646697388633   recall 0.5559624296590533
deviation 4/5   iterations 141/2000   F1 0.450297543910268   accuracy 0.5079545454545454   precision 0.6218433179723503   recall 0.551883830455259
deviation 4/5   iterations 151/2000   F1 0.503236692744286   accuracy 0.5818181818181818   precision 0.663778801843318   recall 0.5689204912734325
deviation 4/5   iterations 161/2000   F1 0.4832294886261427   accuracy 0.5511363636363636   precision 0.6545929339477726   recall 0.5650653757034094
deviation 4/5   iterations 171/2000   F1 0.5320401337792642   accuracy 0.6386363636363637   precision 0.6548694316436252   recall 0.5676190476190476
deviation 4/5   iterations 181/2000   F1 0.4684987839993917   accuracy 0.5306818181818181   precision 0.6429800307219662   recall 0.5604591465569204
deviation 4/5   iterations 191/2000   F1 0.45470287288469113   accuracy 0.5079545454545454   precision 0.6424270353302611   recall 0.5609999999999999
deviation 4/5   iterations 201/2000   F1 0.5326406069602507   accuracy 0.634090909090909   precision 0.6646390168970815   recall 0.5712727756350579
deviation 4/5   iterations 211/2000   F1 0.5149663317698605   accuracy 0.5965909090909091   precision 0.6762826420890937   recall 0.5743557048371379
deviation 4/5   iterations 221/2000   F1 0.45636266951041393   accuracy 0.5102272727272728   precision 0.6437173579109063   recall 0.5614762715784605
deviation 4/5   iterations 231/2000   F1 0.5222857142857142   accuracy 0.6113636363636363   precision 0.6723195084485407   recall 0.5731958762886598
deviation 4/5   iterations 241/2000   F1 0.5374974732160905   accuracy 0.6306818181818182   precision 0.6874039938556067   recall 0.5802631578947368
deviation 4/5   iterations 251/2000   F1 0.5311861984483462   accuracy 0.6204545454545455   precision 0.6857142857142857   recall 0.579040685359233
deviation 4/5   iterations 261/2000   F1 0.5458529592463649   accuracy 0.6420454545454546   precision 0.6938556067588326   recall 0.5835983041865395
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deviation 4/5   iterations 271/2000   F1 0.5436923662099581   accuracy 0.6375   precision 0.6953917050691245   recall 0.583903242147923
deviation 4/5   iterations 281/2000   F1 0.5480225988700564   accuracy 0.65   precision 0.6860215053763441   recall 0.5810744948074833
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deviation 4/5   iterations 291/2000   F1 0.5231064825924648   accuracy 0.6125   precision 0.6729646697388633   recall 0.5735048359131834
deviation 4/5   iterations 301/2000   F1 0.5301564155876836   accuracy 0.6238636363636364   precision 0.675299539170507   recall 0.5749858071027566
deviation 4/5   iterations 311/2000   F1 0.5569848165897793   accuracy 0.6806818181818182   precision 0.662273425499232   recall 0.5747311827956989
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deviation 4/5   iterations 321/2000   F1 0.5649915245249509   accuracy 0.6875   precision 0.6743778801843319   recall 0.5805444555444556
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deviation 4/5   iterations 331/2000   F1 0.5506800142346552   accuracy 0.6625   precision 0.6725345622119816   recall 0.576811974789916
deviation 4/5   iterations 341/2000   F1 0.524859392575928   accuracy 0.6181818181818182   precision 0.6679569892473118   recall 0.5717171717171717
deviation 4/5   iterations 351/2000   F1 0.5667740780522736   accuracy 0.7   precision 0.6608909370199694   recall 0.5769282747031277
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deviation 4/5   iterations 361/2000   F1 0.5651880965749578   accuracy 0.7   precision 0.6567741935483871   recall 0.5752321981424149
deviation 4/5   iterations 371/2000   F1 0.535143151498448   accuracy 0.634090909090909   precision 0.6728725038402458   recall 0.5746052959551122
deviation 4/5   iterations 381/2000   F1 0.5721925133689839   accuracy 0.7136363636363636   precision 0.6562826420890937   recall 0.5773763529834083
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deviation 4/5   iterations 391/2000   F1 0.56391909609396   accuracy 0.6920454545454545   precision 0.6646082949308756   recall 0.5772331003943818
deviation 4/5   iterations 401/2000   F1 0.5387493113224451   accuracy 0.6443181818181818   precision 0.6663287250384025   recall 0.572689093682198
deviation 4/5   iterations 411/2000   F1 0.5448606271777003   accuracy 0.6545454545454545   precision 0.6680184331797234   recall 0.5742300112383342
deviation 4/5   iterations 421/2000   F1 0.5448939809842066   accuracy 0.6602272727272728   precision 0.6588940092165898   recall 0.5710689473221352
deviation 4/5   iterations 431/2000   F1 0.5459960132389263   accuracy 0.6579545454545455   precision 0.6658371735791091   recall 0.57366427214568
deviation 4/5   iterations 441/2000   F1 0.5853339934268995   accuracy 0.7306818181818182   precision 0.6659600614439325   recall 0.5849349701894292
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deviation 4/5   iterations 451/2000   F1 0.5492688950632876   accuracy 0.6681818181818182   precision 0.6592933947772658   recall 0.5720495133704999
deviation 4/5   iterations 461/2000   F1 0.5688482986793502   accuracy 0.696590909090909   precision 0.6713056835637481   recall 0.5806414291003332
deviation 4/5   iterations 471/2000   F1 0.5757159003785992   accuracy 0.7227272727272728   precision 0.6532104454685099   recall 0.5778678541761653
deviation 4/5   iterations 481/2000   F1 0.5451682685725239   accuracy 0.6568181818181819   precision 0.6651920122887864   recall 0.5732964738084723
deviation 4/5   iterations 491/2000   F1 0.573920857736048   accuracy 0.7159090909090909   precision 0.6575729646697389   recall 0.5783431395910088
deviation 4/5   iterations 501/2000   F1 0.5863004962758869   accuracy 0.7386363636363636   precision 0.658125960061444   recall 0.5835557373749181
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deviation 4/5   iterations 511/2000   F1 0.5809725023208169   accuracy 0.7295454545454545   precision 0.6570814132104454   recall 0.5809639027356392
deviation 4/5   iterations 521/2000   F1 0.5818555460879153   accuracy 0.7306818181818182   precision 0.6577265745007681   recall 0.5814920634920635
deviation 4/5   iterations 531/2000   F1 0.5496801705756931   accuracy 0.6727272727272727   precision 0.6536405529953917   recall 0.5702486304256216
deviation 4/5   iterations 541/2000   F1 0.5817878137133685   accuracy 0.7261363636363637   precision 0.6633794162826421   recall 0.5828472793439518
deviation 4/5   iterations 551/2000   F1 0.5844241922120962   accuracy 0.740909090909091   precision 0.6511827956989247   recall 0.5811644400461817
deviation 4/5   iterations 561/2000   F1 0.5696128241569187   accuracy 0.7102272727272727   precision 0.654347158218126   recall 0.5759481424148607
deviation 4/5   iterations 571/2000   F1 0.5853762414331596   accuracy 0.7397727272727272   precision 0.6546543778801843   recall 0.5823647215895704
deviation 4/5   iterations 581/2000   F1 0.5755878108819286   accuracy 0.7159090909090909   precision 0.6616897081413211   recall 0.5800534196484525
deviation 4/5   iterations 591/2000   F1 0.5642231186534983   accuracy 0.696590909090909   precision 0.6589554531490016   recall 0.5755990648743425
deviation 4/5   iterations 601/2000   F1 0.6191281416392387   accuracy 0.8045454545454546   precision 0.6502611367127497   recall 0.6056289359790599
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deviation 4/5   iterations 611/2000   F1 0.5728960275904598   accuracy 0.7102272727272727   precision 0.6625806451612903   recall 0.5793622228620788
deviation 4/5   iterations 621/2000   F1 0.5907149803390978   accuracy 0.7375   precision 0.6698310291858679   recall 0.5881737443854634
deviation 4/5   iterations 631/2000   F1 0.6065306700665817   accuracy 0.7704545454545455   precision 0.6638402457757296   recall 0.5957031390198908
deviation 4/5   iterations 641/2000   F1 0.583483085383218   accuracy 0.7261363636363637   precision 0.6674961597542243   recall 0.5845533498759306
deviation 4/5   iterations 651/2000   F1 0.6046923531072721   accuracy 0.7613636363636364   precision 0.6710291858678956   recall 0.5955616284099726
deviation 4/5   iterations 661/2000   F1 0.5972027972027971   accuracy 0.7545454545454545   precision 0.6630414746543778   recall 0.5900254452926209
deviation 4/5   iterations 671/2000   F1 0.5962791585966093   accuracy 0.7488636363636364   precision 0.6680491551459293   recall 0.5904646608980975
deviation 4/5   iterations 681/2000   F1 0.5871192382869042   accuracy 0.7329545454545454   precision 0.6672503840245776   recall 0.5859998988979881
deviation 4/5   iterations 691/2000   F1 0.6018683132292124   accuracy 0.7579545454545454   precision 0.6690937019969279   recall 0.5936411149825784
deviation 4/5   iterations 701/2000   F1 0.5962922230950511   accuracy 0.7511363636363636   precision 0.6652227342549923   recall 0.589933110367893
deviation 4/5   iterations 711/2000   F1 0.6068110948140142   accuracy 0.7829545454545455   precision 0.650353302611367   recall 0.5947832419199901
deviation 4/5   iterations 721/2000   F1 0.6025186934277843   accuracy 0.7704545454545455   precision 0.6556067588325653   recall 0.592137145185584
deviation 4/5   iterations 731/2000   F1 0.6089625922746381   accuracy 0.7829545454545455   precision 0.6544700460829493   recall 0.596620956831878
deviation 4/5   iterations 741/2000   F1 0.5965153599266391   accuracy 0.7681818181818182   precision 0.6460829493087558   recall 0.5871013122898028
deviation 4/5   iterations 751/2000   F1 0.6010227589174957   accuracy 0.7761363636363636   precision 0.6464823348694316   recall 0.5902374031007752
deviation 4/5   iterations 761/2000   F1 0.6079758319924244   accuracy 0.7920454545454545   precision 0.6431643625192013   recall 0.595667454999343
deviation 4/5   iterations 771/2000   F1 0.6026349341266468   accuracy 0.7681818181818182   precision 0.6584331797235023   recall 0.5925447380321727
deviation 4/5   iterations 781/2000   F1 0.5988639152845472   accuracy 0.7636363636363637   precision 0.6558525345622119   recall 0.5898454933798057
deviation 4/5   iterations 791/2000   F1 0.6014196383302349   accuracy 0.7715909090909091   precision 0.6521351766513057   recall 0.5910294117647059
deviation 4/5   iterations 801/2000   F1 0.5961659029065972   accuracy 0.7579545454545454   precision 0.6567434715821813   recall 0.5883824385376535
deviation 4/5   iterations 811/2000   F1 0.60557372198953   accuracy 0.7693181818181818   precision 0.6631950844854071   recall 0.5950091575091575
deviation 4/5   iterations 821/2000   F1 0.6007733271913845   accuracy 0.7784090909090909   precision 0.6436559139784946   recall 0.5898567211905055
deviation 4/5   iterations 831/2000   F1 0.5920689844565277   accuracy 0.7602272727272728   precision 0.6456835637480799   recall 0.5842572850035537
deviation 4/5   iterations 841/2000   F1 0.5917149958574979   accuracy 0.7454545454545455   precision 0.6619969278033795   recall 0.5869701467920171
deviation 4/5   iterations 851/2000   F1 0.5889631872293979   accuracy 0.7806818181818181   precision 0.6202457757296467   recall 0.5796538699488782
deviation 4/5   iterations 861/2000   F1 0.5891147113495608   accuracy 0.759090909090909   precision 0.6409216589861751   recall 0.5817711193034748
deviation 4/5   iterations 871/2000   F1 0.5995308468214873   accuracy 0.7795454545454545   precision 0.640184331797235   recall 0.5887225354851254
deviation 4/5   iterations 881/2000   F1 0.6064444174516062   accuracy 0.8159090909090909   precision 0.6196620583717358   recall 0.5980110919869956
deviation 4/5   iterations 891/2000   F1 0.599818099135971   accuracy 0.7772727272727272   precision 0.6430107526881721   recall 0.5891086455485877
deviation 4/5   iterations 901/2000   F1 0.6094201298513022   accuracy 0.7738636363636363   precision 0.6657757296466974   recall 0.5978216730479173
deviation 4/5   iterations 911/2000   F1 0.6045383759733036   accuracy 0.7704545454545455   precision 0.6597235023041474   recall 0.5939295392953929
deviation 4/5   iterations 921/2000   F1 0.6145523787542194   accuracy 0.8102272727272727   precision 0.6370199692780338   recall 0.602920543494314
deviation 4/5   iterations 931/2000   F1 0.6135135135135136   accuracy 0.7931818181818182   precision 0.6520430107526882   recall 0.6002836879432625
deviation 4/5   iterations 941/2000   F1 0.6033816929339317   accuracy 0.7840909090909091   precision 0.6427649769585253   recall 0.5918241528940318
deviation 4/5   iterations 951/2000   F1 0.6001665179898901   accuracy 0.7829545454545455   precision 0.6380030721966206   recall 0.5891269841269842
deviation 4/5   iterations 961/2000   F1 0.6020966958618726   accuracy 0.7852272727272728   precision 0.6392933947772658   recall 0.5907119305995711
deviation 4/5   iterations 971/2000   F1 0.6058419140220028   accuracy 0.7977272727272727   precision 0.6340399385560676   recall 0.5942259349165075
deviation 4/5   iterations 981/2000   F1 0.6063787096889626   accuracy 0.8011363636363636   precision 0.6318586789554532   recall 0.5950028332625018
deviation 4/5   iterations 991/2000   F1 0.6083949181883892   accuracy 0.803409090909091   precision 0.6331490015360983   recall 0.5969106650924833
deviation 4/5   iterations 1001/2000   F1 0.5898989310575831   accuracy 0.7818181818181819   precision 0.6208909370199693   recall 0.580430214780355
deviation 4/5   iterations 1011/2000   F1 0.6007662062707935   accuracy 0.8159090909090909   precision 0.6114285714285714   recall 0.5935961353853776
deviation 4/5   iterations 1021/2000   F1 0.5973359092988968   accuracy 0.8056818181818182   precision 0.6138556067588326   recall 0.5884098629718691
deviation 4/5   iterations 1031/2000   F1 0.5965250965250964   accuracy 0.7840909090909091   precision 0.6304147465437788   recall 0.5860182370820668
deviation 4/5   iterations 1041/2000   F1 0.6033868092691622   accuracy 0.7977272727272727   precision 0.6299231950844855   recall 0.5922242866738195
deviation 4/5   iterations 1051/2000   F1 0.5983288762874419   accuracy 0.8068181818181818   precision 0.6145007680491551   recall 0.589420243956276
deviation 4/5   iterations 1061/2000   F1 0.5970695970695971   accuracy 0.8022727272727272   precision 0.616036866359447   recall 0.5876325973772866
deviation 4/5   iterations 1071/2000   F1 0.5970695970695971   accuracy 0.8022727272727272   precision 0.616036866359447   recall 0.5876325973772866
deviation 4/5   iterations 1081/2000   F1 0.6073846153846154   accuracy 0.8022727272727272   precision 0.6325038402457757   recall 0.5959510567296996
deviation 4/5   iterations 1091/2000   F1 0.6061101752158663   accuracy 0.8125   precision 0.6218433179723503   recall 0.5968299542950897
deviation 4/5   iterations 1101/2000   F1 0.5936033336555294   accuracy 0.8045454545454546   precision 0.6090937019969278   recall 0.5851975546790277
deviation 4/5   iterations 1111/2000   F1 0.6074813478837847   accuracy 0.8170454545454545   precision 0.6203072196620584   recall 0.5991532976827094
deviation 4/5   iterations 1121/2000   F1 0.6104284007509815   accuracy 0.8113636363636364   precision 0.629431643625192   recall 0.599937376056779
deviation 4/5   iterations 1131/2000   F1 0.6120196051486417   accuracy 0.825   precision 0.6207066052227342   recall 0.6054923693226364
deviation 4/5   iterations 1141/2000   F1 0.6149853341307009   accuracy 0.8079545454545455   precision 0.6398463901689708   recall 0.6028412377096588
deviation 4/5   iterations 1151/2000   F1 0.6009109856041475   accuracy 0.7920454545454545   precision 0.6308141321044547   recall 0.5898130336471938
deviation 4/5   iterations 1161/2000   F1 0.6026053397829622   accuracy 0.8147727272727273   precision 0.6149001536098311   recall 0.5946969696969697
deviation 4/5   iterations 1171/2000   F1 0.6116821392334264   accuracy 0.821590909090909   precision 0.6228878648233487   recall 0.6038896276595744
deviation 4/5   iterations 1181/2000   F1 0.6010411332991978   accuracy 0.8068181818181818   precision 0.6186175115207373   recall 0.5915875169606513
deviation 4/5   iterations 1191/2000   F1 0.5912397216951297   accuracy 0.7863636363636364   precision 0.6193548387096774   recall 0.581568979852357
deviation 4/5   iterations 1201/2000   F1 0.6136558442915978   accuracy 0.8329545454545455   precision 0.6169892473118279   recall 0.6106770833333333
deviation 4/5   iterations 1211/2000   F1 0.600911582748382   accuracy 0.8193181818181818   precision 0.609247311827957   recall 0.5948327359617682
deviation 4/5   iterations 1221/2000   F1 0.6017886905514755   accuracy 0.8170454545454545   precision 0.6120737327188941   recall 0.5947473404255319
deviation 4/5   iterations 1231/2000   F1 0.5958373940025317   accuracy 0.8136363636363636   precision 0.606021505376344   recall 0.5890543874317448
deviation 4/5   iterations 1241/2000   F1 0.6007662062707935   accuracy 0.8159090909090909   precision 0.6114285714285714   recall 0.5935961353853776
deviation 4/5   iterations 1251/2000   F1 0.6069808987220009   accuracy 0.8227272727272728   precision 0.615299539170507   recall 0.600766826690724
deviation 4/5   iterations 1261/2000   F1 0.6123573559846074   accuracy 0.8193181818181818   precision 0.6257142857142857   recall 0.6036096256684492
deviation 4/5   iterations 1271/2000   F1 0.6057347670250895   accuracy 0.8090909090909091   precision 0.6240245775729647   recall 0.5957624465087151
deviation 4/5   iterations 1281/2000   F1 0.6083708609271523   accuracy 0.8090909090909091   precision 0.6281413210445469   recall 0.5978418953788411
deviation 4/5   iterations 1291/2000   F1 0.6133975327733455   accuracy 0.8295454545454546   precision 0.6191705069124425   recall 0.6086299022078838
deviation 4/5   iterations 1301/2000   F1 0.6054126469317973   accuracy 0.8147727272727273   precision 0.6190168970814132   recall 0.5968848785562803
deviation 4/5   iterations 1311/2000   F1 0.6071783889762539   accuracy 0.8261363636363637   precision 0.6131182795698925   recall 0.602373326215579
deviation 4/5   iterations 1321/2000   F1 0.618100761431333   accuracy 0.8375   precision 0.6195698924731182   recall 0.6167002494722702
deviation 4/5   iterations 1331/2000   F1 0.6043859649122808   accuracy 0.8136363636363636   precision 0.6183717357910906   recall 0.5957742977877206
deviation 4/5   iterations 1341/2000   F1 0.6123133119961721   accuracy 0.8284090909090909   precision 0.6185253456221198   recall 0.6072667823301748
deviation 4/5   iterations 1351/2000   F1 0.6088324145878103   accuracy 0.821590909090909   precision 0.6187711213517665   recall 0.6017325586291103
deviation 4/5   iterations 1361/2000   F1 0.6023475865373099   accuracy 0.8113636363636364   precision 0.6170814132104455   recall 0.5935986482105491
deviation 4/5   iterations 1371/2000   F1 0.6040324356409102   accuracy 0.8397727272727272   precision 0.6002764976958526   recall 0.6084183673469388
deviation 4/5   iterations 1381/2000   F1 0.5918682847646286   accuracy 0.8090909090909091   precision 0.6034408602150537   recall 0.5847248643697597
deviation 4/5   iterations 1391/2000   F1 0.599561403508772   accuracy 0.8113636363636364   precision 0.6129646697388633   recall 0.5913994531444196
deviation 4/5   iterations 1401/2000   F1 0.6019421922953598   accuracy 0.8204545454545454   precision 0.6098924731182795   recall 0.5960412840588115
deviation 4/5   iterations 1411/2000   F1 0.6052683073681042   accuracy 0.8306818181818182   precision 0.6074654377880184   recall 0.6032467532467533
deviation 4/5   iterations 1421/2000   F1 0.5979334340842792   accuracy 0.8227272727272728   precision 0.6029493087557604   recall 0.5938434654030984
deviation 4/5   iterations 1431/2000   F1 0.6033643011481129   accuracy 0.8125   precision 0.6177265745007681   recall 0.5946790006325111
deviation 4/5   iterations 1441/2000   F1 0.6077811879400614   accuracy 0.8204545454545454   precision 0.6181259600614439   recall 0.6005165688950236
deviation 4/5   iterations 1451/2000   F1 0.6051948051948053   accuracy 0.8272727272727273   precision 0.6096466973886329   recall 0.6014208581983518
deviation 4/5   iterations 1461/2000   F1 0.6127595133394637   accuracy 0.8352272727272727   precision 0.6141628264208909   recall 0.6114229514488582
deviation 4/5   iterations 1471/2000   F1 0.5985565957074839   accuracy 0.8102272727272727   precision 0.6123195084485408   recall 0.5903304870335231
deviation 4/5   iterations 1481/2000   F1 0.6059315628395974   accuracy 0.821590909090909   precision 0.6146543778801843   recall 0.59952636968766
deviation 4/5   iterations 1491/2000   F1 0.6083994612207353   accuracy 0.8306818181818182   precision 0.6115821812596006   recall 0.6055617559523809
deviation 4/5   iterations 1501/2000   F1 0.6038493880220499   accuracy 0.8193181818181818   precision 0.6133640552995392   recall 0.5971011746873816
deviation 4/5   iterations 1511/2000   F1 0.6082428332103234   accuracy 0.8272727272727273   precision 0.6137634408602151   recall 0.603701089939622
deviation 4/5   iterations 1521/2000   F1 0.6160983102918587   accuracy 0.8386363636363636   precision 0.6160983102918587   recall 0.6160983102918587
deviation 4/5   iterations 1531/2000   F1 0.6238104678826328   accuracy 0.8431818181818181   precision 0.6227956989247312   recall 0.6248578675763142
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deviation 4/5   iterations 1541/2000   F1 0.6017886905514755   accuracy 0.8170454545454545   precision 0.6120737327188941   recall 0.5947473404255319
deviation 4/5   iterations 1551/2000   F1 0.606340148226959   accuracy 0.8318181818181818   precision 0.6081105990783411   recall 0.6046835397850998
deviation 4/5   iterations 1561/2000   F1 0.6183584456780333   accuracy 0.8409090909090909   precision 0.6173886328725039   recall 0.6193599980007747
deviation 4/5   iterations 1571/2000   F1 0.6037086092715233   accuracy 0.8068181818181818   precision 0.6227342549923195   recall 0.5937133474079287
deviation 4/5   iterations 1581/2000   F1 0.6095829636202307   accuracy 0.8454545454545455   precision 0.6035023041474654   recall 0.6173066477248986
deviation 4/5   iterations 1591/2000   F1 0.6077811879400614   accuracy 0.8204545454545454   precision 0.6181259600614439   recall 0.6005165688950236
deviation 4/5   iterations 1601/2000   F1 0.6151491297122365   accuracy 0.8409090909090909   precision 0.6132718894009217   recall 0.6171532429237789
deviation 4/5   iterations 1611/2000   F1 0.614757244290923   accuracy 0.8340909090909091   precision 0.6176344086021506   recall 0.6121440035614287
deviation 4/5   iterations 1621/2000   F1 0.6038493880220499   accuracy 0.8193181818181818   precision 0.6133640552995392   recall 0.5971011746873816
deviation 4/5   iterations 1631/2000   F1 0.6051282051282051   accuracy 0.8409090909090909   precision 0.6009216589861751   recall 0.6101240362051625
deviation 4/5   iterations 1641/2000   F1 0.6129064234734338   accuracy 0.8386363636363636   precision 0.6119815668202765   recall 0.6138621284252352
deviation 4/5   iterations 1651/2000   F1 0.6083994612207353   accuracy 0.8306818181818182   precision 0.6115821812596006   recall 0.6055617559523809
deviation 4/5   iterations 1661/2000   F1 0.6096489968374932   accuracy 0.8420454545454545   precision 0.6056835637480799   recall 0.6142644557823129
deviation 4/5   iterations 1671/2000   F1 0.5997176692024155   accuracy 0.8352272727272727   precision 0.5976958525345621   recall 0.6019230769230769
deviation 4/5   iterations 1681/2000   F1 0.596293237911735   accuracy 0.8352272727272727   precision 0.5935791090629801   recall 0.5993658332898377
deviation 4/5   iterations 1691/2000   F1 0.605284178187404   accuracy 0.8340909090909091   precision 0.605284178187404   recall 0.605284178187404
deviation 4/5   iterations 1701/2000   F1 0.6176482205632579   accuracy 0.85   precision 0.6101996927803379   recall 0.627381070753846
deviation 4/5   iterations 1711/2000   F1 0.6090964682535105   accuracy 0.825   precision 0.616589861751152   recall 0.6033057851239669
deviation 4/5   iterations 1721/2000   F1 0.609651260136697   accuracy 0.8386363636363636   precision 0.6078648233486943   recall 0.6115608993505256
deviation 4/5   iterations 1731/2000   F1 0.6061197916666666   accuracy 0.825   precision 0.6124731182795699   recall 0.6010667078920925
deviation 4/5   iterations 1741/2000   F1 0.5948051948051949   accuracy 0.8227272727272728   precision 0.5988325652841782   recall 0.5914180164819551
deviation 4/5   iterations 1751/2000   F1 0.6139221994735302   accuracy 0.8568181818181818   precision 0.6017204301075268   recall 0.6338729763387297
deviation 4/5   iterations 1761/2000   F1 0.6082428332103234   accuracy 0.8272727272727273   precision 0.6137634408602151   recall 0.603701089939622
deviation 4/5   iterations 1771/2000   F1 0.6010204205002961   accuracy 0.8295454545454546   precision 0.6027035330261137   recall 0.5994478753911874
deviation 4/5   iterations 1781/2000   F1 0.6005652863935308   accuracy 0.8397727272727272   precision 0.5961597542242704   recall 0.6059092631692924
deviation 4/5   iterations 1791/2000   F1 0.5975997834952452   accuracy 0.8329545454545455   precision 0.596405529953917   recall 0.5988583093905943
deviation 4/5   iterations 1801/2000   F1 0.5975997834952452   accuracy 0.8329545454545455   precision 0.596405529953917   recall 0.5988583093905943
deviation 4/5   iterations 1811/2000   F1 0.6051282051282051   accuracy 0.8409090909090909   precision 0.6009216589861751   recall 0.6101240362051625
deviation 4/5   iterations 1821/2000   F1 0.6094487768579047   accuracy 0.8488636363636364   precision 0.601321044546851   recall 0.6207457090972995
deviation 4/5   iterations 1831/2000   F1 0.6031397786553556   accuracy 0.8318181818181818   precision 0.6039938556067588   recall 0.6023140815610982
deviation 4/5   iterations 1841/2000   F1 0.6024659863945578   accuracy 0.8454545454545455   precision 0.595268817204301   recall 0.6123697293849922
deviation 4/5   iterations 1851/2000   F1 0.6027423508741162   accuracy 0.8420454545454545   precision 0.5974500768049156   recall 0.6093853453983669
deviation 4/5   iterations 1861/2000   F1 0.6046932618169628   accuracy 0.8477272727272728   precision 0.5965591397849462   recall 0.6162782093969663
deviation 4/5   iterations 1871/2000   F1 0.6052683073681042   accuracy 0.8306818181818182   precision 0.6074654377880184   recall 0.6032467532467533
deviation 4/5   iterations 1881/2000   F1 0.6029436062990124   accuracy 0.8386363636363636   precision 0.5996313364055299   recall 0.6067464549512185
deviation 4/5   iterations 1891/2000   F1 0.6074106591575033   accuracy 0.8579545454545454   precision 0.5941321044546851   recall 0.6316694169416942
deviation 4/5   iterations 1901/2000   F1 0.6092415734174966   accuracy 0.8522727272727273   precision 0.5991397849462365   recall 0.6246542746334152
deviation 4/5   iterations 1911/2000   F1 0.6042088000514015   accuracy 0.8329545454545455   precision 0.6046390168970814   recall 0.603785773487397
deviation 4/5   iterations 1921/2000   F1 0.6085858585858586   accuracy 0.8590909090909091   precision 0.5947772657450077   recall 0.6342728807952784
deviation 4/5   iterations 1931/2000   F1 0.5998863313441318   accuracy 0.8181818181818182   precision 0.6086021505376344   recall 0.5936423841059603
deviation 4/5   iterations 1941/2000   F1 0.604586105434042   accuracy 0.8590909090909091   precision 0.5906605222734255   recall 0.6318375953823335
deviation 4/5   iterations 1951/2000   F1 0.6050869437701194   accuracy 0.8556818181818182   precision 0.5928417818740399   recall 0.6266682315069412
deviation 4/5   iterations 1961/2000   F1 0.6149786286214314   accuracy 0.8375   precision 0.6154531490015361   recall 0.6145117254156306
deviation 4/5   iterations 1971/2000   F1 0.6046932618169628   accuracy 0.8477272727272728   precision 0.5965591397849462   recall 0.6162782093969663
deviation 4/5   iterations 1981/2000   F1 0.6077939804175545   accuracy 0.8545454545454545   precision 0.5963133640552996   recall 0.6267568048389967
deviation 4/5   iterations 1991/2000   F1 0.5998771121351767   accuracy 0.8318181818181818   precision 0.5998771121351767   recall 0.5998771121351767

deviation 5/5   iterations 1/2000   F1 0.37258748711620315   accuracy 0.42093287827076226   precision 0.5009491315136476   recall 0.5004139879212935
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deviation 5/5   iterations 11/2000   F1 0.5104471152481767   accuracy 0.6427758816837316   precision 0.5892928039702233   recall 0.540342380519961
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deviation 5/5   iterations 21/2000   F1 0.41187019949854403   accuracy 0.4732650739476678   precision 0.5431141439205955   recall 0.518240703802465
deviation 5/5   iterations 31/2000   F1 0.427028073686591   accuracy 0.49829351535836175   precision 0.5489826302729529   recall 0.520508025557114
deviation 5/5   iterations 41/2000   F1 0.4490137674495216   accuracy 0.5324232081911263   precision 0.5641749379652605   recall 0.5267841423378452
deviation 5/5   iterations 51/2000   F1 0.413781381393493   accuracy 0.4732650739476678   precision 0.551439205955335   recall 0.5218118686868687
deviation 5/5   iterations 61/2000   F1 0.42563767473337843   accuracy 0.49032992036405004   precision 0.5611166253101737   recall 0.5257205513784461
deviation 5/5   iterations 71/2000   F1 0.42011492003010015   accuracy 0.48236632536973834   precision 0.5566004962779156   recall 0.5238968277249298
deviation 5/5   iterations 81/2000   F1 0.4061794960039769   accuracy 0.45733788395904434   precision 0.5590570719602977   recall 0.5254336001367858
deviation 5/5   iterations 91/2000   F1 0.4563056280763794   accuracy 0.5415244596131968   precision 0.573498759305211   recall 0.5306936643800129
deviation 5/5   iterations 101/2000   F1 0.46968325791855203   accuracy 0.5631399317406144   precision 0.5815942928039701   recall 0.5342458263468689
deviation 5/5   iterations 111/2000   F1 0.47503178823257425   accuracy 0.5767918088737202   precision 0.576848635235732   recall 0.532513070317257
deviation 5/5   iterations 121/2000   F1 0.4870944563307652   accuracy 0.5870307167235495   precision 0.5993052109181142   recall 0.5420369319972269
deviation 5/5   iterations 131/2000   F1 0.47021828568433743   accuracy 0.5551763367463026   precision 0.5978908188585608   recall 0.5409045663804902
deviation 5/5   iterations 141/2000   F1 0.513549918554304   accuracy 0.6382252559726962   precision 0.603362282878412   recall 0.5459844345090247
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deviation 5/5   iterations 151/2000   F1 0.48704110636249665   accuracy 0.5779294653014789   precision 0.614956575682382   recall 0.5482653539615565
deviation 5/5   iterations 161/2000   F1 0.5039576837966124   accuracy 0.6097838452787259   precision 0.6163709677419356   recall 0.5498405866411605
deviation 5/5   iterations 171/2000   F1 0.5029190638075314   accuracy 0.6063708759954494   precision 0.6185980148883374   recall 0.5506115317414094
deviation 5/5   iterations 181/2000   F1 0.5160891150861961   accuracy 0.6234357224118316   precision 0.6324379652605459   recall 0.5570834982192323
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deviation 5/5   iterations 191/2000   F1 0.5033036684966439   accuracy 0.59613196814562   precision 0.6377667493796526   recall 0.5580813892666597
deviation 5/5   iterations 201/2000   F1 0.5348818612279899   accuracy 0.646188850967008   precision 0.653666253101737   recall 0.5672284644194756
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deviation 5/5   iterations 211/2000   F1 0.49926477165549565   accuracy 0.5870307167235495   precision 0.6409305210918115   recall 0.5591294298921418
deviation 5/5   iterations 221/2000   F1 0.5616580079491493   accuracy 0.6951080773606371   precision 0.6564330024813896   recall 0.5738159358351385
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deviation 5/5   iterations 231/2000   F1 0.5274514052810314   accuracy 0.6302616609783845   precision 0.65712158808933   recall 0.5675017323170407
deviation 5/5   iterations 241/2000   F1 0.5419803365008844   accuracy 0.6541524459613197   precision 0.6623449131513648   recall 0.5714012877878424
deviation 5/5   iterations 251/2000   F1 0.5536039506864667   accuracy 0.6700796359499431   precision 0.6713771712158809   recall 0.5766205527019381
deviation 5/5   iterations 261/2000   F1 0.5478651701336663   accuracy 0.6700796359499431   precision 0.654727047146402   recall 0.5699054922140383
deviation 5/5   iterations 271/2000   F1 0.5109188721147448   accuracy 0.6052332195676906   precision 0.647090570719603   recall 0.5621976811290069
deviation 5/5   iterations 281/2000   F1 0.5518150501797018   accuracy 0.6734926052332195   precision 0.6608250620347395   recall 0.5727600839722936
deviation 5/5   iterations 291/2000   F1 0.5763987661474886   accuracy 0.7189988623435722   precision 0.6616563275434244   recall 0.5800780529776903
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deviation 5/5   iterations 301/2000   F1 0.5422007033591933   accuracy 0.6507394766780432   precision 0.6687344913151365   recall 0.5736712097245997
deviation 5/5   iterations 311/2000   F1 0.5557762118300235   accuracy 0.676905574516496   precision 0.666923076923077   recall 0.5756233558918092
deviation 5/5   iterations 321/2000   F1 0.5761126264445703   accuracy 0.7121729237770194   precision 0.670272952853598   recall 0.5823008743418449
deviation 5/5   iterations 331/2000   F1 0.5682593825726201   accuracy 0.6916951080773607   precision 0.6794727047146402   recall 0.5826269492203119
deviation 5/5   iterations 341/2000   F1 0.4692446350021141   accuracy 0.5369738339021616   precision 0.6333560794044665   recall 0.5557789909599476
deviation 5/5   iterations 351/2000   F1 0.5895059285408982   accuracy 0.7315130830489193   precision 0.6770781637717121   recall 0.5890817511141071
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deviation 5/5   iterations 361/2000   F1 0.5879485153288777   accuracy 0.7212741751990899   precision 0.6879218362282878   recall 0.5911890427453341
deviation 5/5   iterations 371/2000   F1 0.5072062992125984   accuracy 0.5949943117178612   precision 0.6537717121588089   recall 0.5645857217300677
deviation 5/5   iterations 381/2000   F1 0.5784188582909108   accuracy 0.7110352673492605   precision 0.6779528535980148   recall 0.5851954809508535
deviation 5/5   iterations 391/2000   F1 0.5843892713031094   accuracy 0.7167235494880546   precision 0.6853411910669975   recall 0.5892383512544803
deviation 5/5   iterations 401/2000   F1 0.5490010193679918   accuracy 0.6564277588168373   precision 0.6802853598014889   recall 0.5787938270667722
deviation 5/5   iterations 411/2000   F1 0.566912382552899   accuracy 0.7064846416382252   precision 0.6545595533498759   recall 0.5748521883336939
deviation 5/5   iterations 421/2000   F1 0.5493478617521601   accuracy 0.658703071672355   precision 0.6774131513647643   recall 0.5778610866085139
deviation 5/5   iterations 431/2000   F1 0.5729769172960658   accuracy 0.7212741751990899   precision 0.6504590570719604   recall 0.5758629749646552
deviation 5/5   iterations 441/2000   F1 0.5575128366583222   accuracy 0.664391353811149   precision 0.6931265508684863   recall 0.5846677690265871
deviation 5/5   iterations 451/2000   F1 0.5771045663084644   accuracy 0.7155858930602957   precision 0.668045905707196   recall 0.5820361711406145
deviation 5/5   iterations 461/2000   F1 0.5635828951891128   accuracy 0.689419795221843   precision 0.6698573200992556   recall 0.5784430005500549
deviation 5/5   iterations 471/2000   F1 0.5787324591672418   accuracy 0.7155858930602957   precision 0.6722084367245658   recall 0.5837304699282138
deviation 5/5   iterations 481/2000   F1 0.5723345356933144   accuracy 0.7030716723549488   precision 0.6734367245657569   recall 0.5819834613805642
deviation 5/5   iterations 491/2000   F1 0.5752427553877999   accuracy 0.7110352673492605   precision 0.6696277915632755   recall 0.5818300434527586
deviation 5/5   iterations 501/2000   F1 0.5612302154079343   accuracy 0.6882821387940842   precision 0.6650496277915632   recall 0.5763425803711824
deviation 5/5   iterations 511/2000   F1 0.5683423301844355   accuracy 0.70193401592719   precision 0.6644665012406947   recall 0.578161299071923
deviation 5/5   iterations 521/2000   F1 0.553481831096123   accuracy 0.6757679180887372   precision 0.6621153846153847   recall 0.57354778790949
deviation 5/5   iterations 531/2000   F1 0.5646215823537182   accuracy 0.6928327645051194   precision 0.6676302729528536   recall 0.5780360175120425
deviation 5/5   iterations 541/2000   F1 0.5652091196882991   accuracy 0.7042093287827076   precision 0.6532692307692307   recall 0.5739385197332982
deviation 5/5   iterations 551/2000   F1 0.5555142720950591   accuracy 0.6825938566552902   precision 0.6576612903225807   recall 0.5725852516136403
deviation 5/5   iterations 561/2000   F1 0.5615393142181496   accuracy 0.6928327645051194   precision 0.6593052109181141   recall 0.5746555032269318
deviation 5/5   iterations 571/2000   F1 0.5635120997088792   accuracy 0.70193401592719   precision 0.6519789081885856   recall 0.5730354161698068
deviation 5/5   iterations 581/2000   F1 0.5548248170927216   accuracy 0.6837315130830489   precision 0.6541439205955335   recall 0.5712982198400037
deviation 5/5   iterations 591/2000   F1 0.5576753450265095   accuracy 0.7007963594994312   precision 0.6388461538461538   recall 0.5673750752558699
deviation 5/5   iterations 601/2000   F1 0.5524513426952451   accuracy 0.6825938566552902   precision 0.6493362282878412   recall 0.569184034763016
deviation 5/5   iterations 611/2000   F1 0.5723181526780363   accuracy 0.7349260523321957   precision 0.633225806451613   recall 0.5713403048140422
deviation 5/5   iterations 621/2000   F1 0.574242112418692   accuracy 0.7349260523321957   precision 0.6373883374689826   recall 0.573169684154883
deviation 5/5   iterations 631/2000   F1 0.562665884734348   accuracy 0.7007963594994312   precision 0.6513337468982631   recall 0.5725877480093788
deviation 5/5   iterations 641/2000   F1 0.5422885133047968   accuracy 0.664391353811149   precision 0.6473387096774194   recall 0.5662998693598633
deviation 5/5   iterations 651/2000   F1 0.5595338161127634   accuracy 0.7178612059158134   precision 0.6235483870967742   recall 0.5636342722764685
deviation 5/5   iterations 661/2000   F1 0.5656310944175897   accuracy 0.7235494880546075   precision 0.6309367245657568   recall 0.567942445116848
deviation 5/5   iterations 671/2000   F1 0.5674922092832542   accuracy 0.7235494880546075   precision 0.6350992555831265   recall 0.5697547788653718
deviation 5/5   iterations 681/2000   F1 0.5501935656120679   accuracy 0.6860068259385665   precision 0.6387841191066997   recall 0.565261020746307
deviation 5/5   iterations 691/2000   F1 0.5673373269310502   accuracy 0.7258248009101251   precision 0.632227047146402   recall 0.5689591583197453
deviation 5/5   iterations 701/2000   F1 0.567151201722486   accuracy 0.7281001137656428   precision 0.6293548387096775   recall 0.5681616108786611
deviation 5/5   iterations 711/2000   F1 0.5493194059802593   accuracy 0.6825938566552902   precision 0.6410111662531017   recall 0.565752021937589
deviation 5/5   iterations 721/2000   F1 0.5724340100211788   accuracy 0.7428896473265074   precision 0.6252543424317618   recall 0.5696337425851842
deviation 5/5   iterations 731/2000   F1 0.5657858921496477   accuracy 0.7212741751990899   precision 0.6338089330024814   recall 0.5687511952572193
deviation 5/5   iterations 741/2000   F1 0.5543116594373576   accuracy 0.6985210466439136   precision 0.633393300248139   recall 0.5647290788681517
deviation 5/5   iterations 751/2000   F1 0.5733055738341549   accuracy 0.7440273037542662   precision 0.6258995037220844   recall 0.5702054794520548
deviation 5/5   iterations 761/2000   F1 0.5750557690931913   accuracy 0.7463026166097838   precision 0.6271898263027296   recall 0.5713624403079621
deviation 5/5   iterations 771/2000   F1 0.5705875382763632   accuracy 0.732650739476678   precision 0.6319354838709678   recall 0.5702656270648869
deviation 5/5   iterations 781/2000   F1 0.5425780181224148   accuracy 0.6689419795221843   precision 0.6415942928039702   recall 0.5644198963636979
deviation 5/5   iterations 791/2000   F1 0.5565295536601133   accuracy 0.7087599544937428   precision 0.626712158808933   recall 0.5634584317136822
deviation 5/5   iterations 801/2000   F1 0.5940603566529493   accuracy 0.770193401592719   precision 0.6407382133995037   recall 0.5847364568081992
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deviation 5/5   iterations 811/2000   F1 0.5588805115193829   accuracy 0.714448236632537   precision 0.6257754342431762   recall 0.5640082587228024
deviation 5/5   iterations 821/2000   F1 0.547674727367621   accuracy 0.6803185437997725   precision 0.6397208436724566   recall 0.5649377234459694
deviation 5/5   iterations 831/2000   F1 0.5723181526780363   accuracy 0.7349260523321957   precision 0.633225806451613   recall 0.5713403048140422
deviation 5/5   iterations 841/2000   F1 0.5800015496668216   accuracy 0.7474402730375427   precision 0.6361600496277916   recall 0.5756966478134915
deviation 5/5   iterations 851/2000   F1 0.562241287187604   accuracy 0.7189988623435722   precision 0.6283560794044665   recall 0.5659495123350545
deviation 5/5   iterations 861/2000   F1 0.5452234928020061   accuracy 0.6882821387940842   precision 0.623424317617866   recall 0.5590897751167183
deviation 5/5   iterations 871/2000   F1 0.5677889824152014   accuracy 0.7315130830489193   precision 0.6271277915632755   recall 0.5678890876565295
deviation 5/5   iterations 881/2000   F1 0.568647063859822   accuracy 0.732650739476678   precision 0.627772952853598   recall 0.5684203882592116
deviation 5/5   iterations 891/2000   F1 0.590613524406628   accuracy 0.7633674630261661   precision 0.641029776674938   recall 0.5825490196078431
deviation 5/5   iterations 901/2000   F1 0.5738402877606454   accuracy 0.7394766780432309   precision 0.6316439205955335   recall 0.5716906299829735
deviation 5/5   iterations 911/2000   F1 0.5593176815847396   accuracy 0.7201365187713311   precision 0.6206761786600496   recall 0.5627759132567446
deviation 5/5   iterations 921/2000   F1 0.583054048303011   accuracy 0.7565415244596132   precision 0.6329962779156327   recall 0.5768048549810845
deviation 5/5   iterations 931/2000   F1 0.5824337725510457   accuracy 0.7531285551763367   precision 0.6352233250620347   recall 0.5768303514782388
deviation 5/5   iterations 941/2000   F1 0.5576461038961039   accuracy 0.7178612059158134   precision 0.6193858560794044   recall 0.5617943975648287
deviation 5/5   iterations 951/2000   F1 0.579157357165656   accuracy 0.7542662116040956   precision 0.6275434243176179   recall 0.573655852344377
deviation 5/5   iterations 961/2000   F1 0.5555474037163134   accuracy 0.7098976109215017   precision 0.6231947890818859   recall 0.5621160559010097
deviation 5/5   iterations 971/2000   F1 0.5637467653288182   accuracy 0.7235494880546075   precision 0.626774193548387   recall 0.5661153816290084
deviation 5/5   iterations 981/2000   F1 0.590613524406628   accuracy 0.7633674630261661   precision 0.641029776674938   recall 0.5825490196078431
deviation 5/5   iterations 991/2000   F1 0.5499231950844855   accuracy 0.6996587030716723   precision 0.6215508684863524   recall 0.559829738378484
deviation 5/5   iterations 1001/2000   F1 0.5897003364513624   accuracy 0.770193401592719   precision 0.6324131513647643   recall 0.5809111171761281
deviation 5/5   iterations 1011/2000   F1 0.587855107106739   accuracy 0.7679180887372014   precision 0.6311228287841191   recall 0.5795281812024983
deviation 5/5   iterations 1021/2000   F1 0.5639324743802355   accuracy 0.7212741751990899   precision 0.6296464019851116   recall 0.5669393481268897
deviation 5/5   iterations 1031/2000   F1 0.5885053746016313   accuracy 0.7633674630261661   precision 0.6368672456575682   recall 0.580666744665604
deviation 5/5   iterations 1041/2000   F1 0.5794738320546358   accuracy 0.7519908987485779   precision 0.6304156327543424   recall 0.5743366524285027
deviation 5/5   iterations 1051/2000   F1 0.5768155785648776   accuracy 0.7485779294653014   precision 0.6284801488833747   recall 0.5725378257214906
deviation 5/5   iterations 1061/2000   F1 0.5733717746619099   accuracy 0.7337883959044369   precision 0.63674317617866   recall 0.5726302817829559
deviation 5/5   iterations 1071/2000   F1 0.600078607925108   accuracy 0.782707622298066   precision 0.6395099255583127   recall 0.5890033085849071
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deviation 5/5   iterations 1081/2000   F1 0.5931270051555442   accuracy 0.7690557451649602   precision 0.6400930521091812   recall 0.5840429015883413
deviation 5/5   iterations 1091/2000   F1 0.5857672181015363   accuracy 0.7599544937428896   precision 0.6349317617866005   recall 0.5787110081783311
deviation 5/5   iterations 1101/2000   F1 0.5740573310537963   accuracy 0.7372013651877133   precision 0.6345161290322581   recall 0.5724306557639891
deviation 5/5   iterations 1111/2000   F1 0.5729692965410027   accuracy 0.7383390216154722   precision 0.6309987593052109   recall 0.5711355000404236
deviation 5/5   iterations 1121/2000   F1 0.5913936417475346   accuracy 0.7986348122866894   precision 0.6110794044665012   recall 0.5823112990714352
deviation 5/5   iterations 1131/2000   F1 0.5764973764973765   accuracy 0.7508532423208191   precision 0.6256079404466501   recall 0.5718279081647132
deviation 5/5   iterations 1141/2000   F1 0.5860219478737997   accuracy 0.7656427758816837   precision 0.629832506203474   recall 0.5781702871485344
deviation 5/5   iterations 1151/2000   F1 0.587855107106739   accuracy 0.7679180887372014   precision 0.6311228287841191   recall 0.5795281812024983
deviation 5/5   iterations 1161/2000   F1 0.594942421708726   accuracy 0.7792946530147895   precision 0.6334119106699752   recall 0.5847667397165245
deviation 5/5   iterations 1171/2000   F1 0.5866638037468463   accuracy 0.7508532423208191   precision 0.6464205955334987   recall 0.5811557028703461
deviation 5/5   iterations 1181/2000   F1 0.5829230480127784   accuracy 0.770193401592719   precision 0.6199255583126551   recall 0.5749895266024299
deviation 5/5   iterations 1191/2000   F1 0.5842442715997477   accuracy 0.7747440273037542   precision 0.6183436724565756   recall 0.5758106819265617
deviation 5/5   iterations 1201/2000   F1 0.5849450095421724   accuracy 0.7815699658703071   precision 0.6138895781637717   recall 0.5761594623745125
deviation 5/5   iterations 1211/2000   F1 0.587515632257834   accuracy 0.7758816837315131   precision 0.623151364764268   recall 0.5785670186325571
deviation 5/5   iterations 1221/2000   F1 0.5697253795735502   accuracy 0.7315130830489193   precision 0.6312903225806452   recall 0.5697340327384876
deviation 5/5   iterations 1231/2000   F1 0.5921240573729057   accuracy 0.7963594994311718   precision 0.6139516129032259   recall 0.5826851401717712
deviation 5/5   iterations 1241/2000   F1 0.5866201550387597   accuracy 0.7929465301478953   precision 0.6078535980148884   recall 0.577859381997313
deviation 5/5   iterations 1251/2000   F1 0.5645949663495391   accuracy 0.7246871444823664   precision 0.6274193548387097   recall 0.5666216899983134
deviation 5/5   iterations 1261/2000   F1 0.5879421998840132   accuracy 0.7792946530147895   precision 0.620924317617866   recall 0.5787736001551791
deviation 5/5   iterations 1271/2000   F1 0.5873965851082555   accuracy 0.7815699658703071   precision 0.6180521091811415   recall 0.57824578138877
deviation 5/5   iterations 1281/2000   F1 0.5843040621266428   accuracy 0.7838452787258248   precision 0.6110173697270471   recall 0.5756011422970986
deviation 5/5   iterations 1291/2000   F1 0.5782390164183642   accuracy 0.770193401592719   precision 0.6116004962779156   recall 0.570908288268403
deviation 5/5   iterations 1301/2000   F1 0.5797738346970671   accuracy 0.7633674630261661   precision 0.6202171215880894   recall 0.5729136880126421
deviation 5/5   iterations 1311/2000   F1 0.5893753368868659   accuracy 0.7781569965870307   precision 0.6244416873449131   recall 0.5800478850758181
deviation 5/5   iterations 1321/2000   F1 0.5864658721665769   accuracy 0.7804323094425484   precision 0.6174069478908188   recall 0.5774779347950678
deviation 5/5   iterations 1331/2000   F1 0.5849450095421724   accuracy 0.7815699658703071   precision 0.6138895781637717   recall 0.5761594623745125
deviation 5/5   iterations 1341/2000   F1 0.5805980725623583   accuracy 0.770193401592719   precision 0.6157630272952854   recall 0.5729629340006256
deviation 5/5   iterations 1351/2000   F1 0.5940115993119306   accuracy 0.7895335608646189   precision 0.6225682382133995   recall 0.5838553603259485
deviation 5/5   iterations 1361/2000   F1 0.5779835390946503   accuracy 0.7610921501706485   precision 0.6189267990074442   recall 0.5716041174888696
deviation 5/5   iterations 1371/2000   F1 0.5943927224047705   accuracy 0.7929465301478953   precision 0.6203411910669975   recall 0.5843141515994437
deviation 5/5   iterations 1381/2000   F1 0.5893753368868659   accuracy 0.7781569965870307   precision 0.6244416873449131   recall 0.5800478850758181
deviation 5/5   iterations 1391/2000   F1 0.587515632257834   accuracy 0.7758816837315131   precision 0.623151364764268   recall 0.5785670186325571
deviation 5/5   iterations 1401/2000   F1 0.5940841921057748   accuracy 0.7838452787258248   precision 0.6276674937965261   recall 0.5838835901198337
deviation 5/5   iterations 1411/2000   F1 0.5851359457981191   accuracy 0.7565415244596132   precision 0.6371588089330025   recall 0.5786888746530002
deviation 5/5   iterations 1421/2000   F1 0.6018013037569392   accuracy 0.7986348122866894   precision 0.6277295285359801   recall 0.5908216736947969
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deviation 5/5   iterations 1431/2000   F1 0.607819654808031   accuracy 0.8054607508532423   precision 0.6316004962779156   recall 0.5964904300997016
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deviation 5/5   iterations 1441/2000   F1 0.5924731399544438   accuracy 0.7906712172923777   precision 0.6190508684863524   recall 0.5826101554832378
deviation 5/5   iterations 1451/2000   F1 0.5847505668934241   accuracy 0.7724687144482366   precision 0.6212158808933003   recall 0.5763997497654051
deviation 5/5   iterations 1461/2000   F1 0.5943076923076923   accuracy 0.8020477815699659   precision 0.613014888337469   recall 0.5851165224541666
deviation 5/5   iterations 1471/2000   F1 0.5782390164183642   accuracy 0.770193401592719   precision 0.6116004962779156   recall 0.570908288268403
deviation 5/5   iterations 1481/2000   F1 0.5805980725623583   accuracy 0.770193401592719   precision 0.6157630272952854   recall 0.5729629340006256
deviation 5/5   iterations 1491/2000   F1 0.585538596150107   accuracy 0.7792946530147895   precision 0.6167617866004963   recall 0.57671802396674
deviation 5/5   iterations 1501/2000   F1 0.5840201066633973   accuracy 0.7804323094425484   precision 0.6132444168734491   recall 0.5753915155119437
deviation 5/5   iterations 1511/2000   F1 0.5972611108282848   accuracy 0.8054607508532423   precision 0.6149503722084367   recall 0.5880301763453937
deviation 5/5   iterations 1521/2000   F1 0.581265798172273   accuracy 0.7770193401592719   precision 0.6113089330024813   recall 0.5731352408901932
deviation 5/5   iterations 1531/2000   F1 0.5902097902097903   accuracy 0.7849829351535836   precision 0.6199875930521093   recall 0.5805983831985999
deviation 5/5   iterations 1541/2000   F1 0.5885173934753661   accuracy 0.7952218430034129   precision 0.6091439205955335   recall 0.5796079779917469
deviation 5/5   iterations 1551/2000   F1 0.5969929804591159   accuracy 0.8020477815699659   precision 0.6171774193548387   recall 0.5872971124339113
deviation 5/5   iterations 1561/2000   F1 0.5827769572351381   accuracy 0.7758816837315131   precision 0.6148263027295285   recall 0.574484523637066
deviation 5/5   iterations 1571/2000   F1 0.6026273142334445   accuracy 0.8054607508532423   precision 0.6232754342431762   recall 0.592338574774172
deviation 5/5   iterations 1581/2000   F1 0.5892684990261081   accuracy 0.7838452787258248   precision 0.6193424317617866   recall 0.5798058574628724
deviation 5/5   iterations 1591/2000   F1 0.5963281218108339   accuracy 0.7952218430034129   precision 0.6216315136476427   recall 0.5860575150546885
deviation 5/5   iterations 1601/2000   F1 0.576621796334322   accuracy 0.7622298065984073   precision 0.615409429280397   recall 0.5702578588800435
deviation 5/5   iterations 1611/2000   F1 0.5953584190648169   accuracy 0.7940841865756542   precision 0.6209863523573201   recall 0.5851808176100629
deviation 5/5   iterations 1621/2000   F1 0.5849450095421724   accuracy 0.7815699658703071   precision 0.6138895781637717   recall 0.5761594623745125
deviation 5/5   iterations 1631/2000   F1 0.5915776543473616   accuracy 0.8020477815699659   precision 0.6088523573200992   recall 0.5828939909297053
deviation 5/5   iterations 1641/2000   F1 0.6026273142334445   accuracy 0.8054607508532423   precision 0.6232754342431762   recall 0.592338574774172
deviation 5/5   iterations 1651/2000   F1 0.5860419868003581   accuracy 0.757679180887372   precision 0.637803970223325   recall 0.5793187174176961
deviation 5/5   iterations 1661/2000   F1 0.5846147135161073   accuracy 0.7781569965870307   precision 0.6161166253101737   recall 0.5759659090909091
deviation 5/5   iterations 1671/2000   F1 0.604590603651807   accuracy 0.8168373151308305   precision 0.6172394540942928   recall 0.5964352777891171
deviation 5/5   iterations 1681/2000   F1 0.5982546134985159   accuracy 0.8065984072810012   precision 0.6155955334987593   recall 0.5890266974984233
deviation 5/5   iterations 1691/2000   F1 0.5866201550387597   accuracy 0.7929465301478953   precision 0.6078535980148884   recall 0.577859381997313
deviation 5/5   iterations 1701/2000   F1 0.5797094341935879   accuracy 0.7781569965870307   precision 0.6077915632754343   recall 0.571761324214491
deviation 5/5   iterations 1711/2000   F1 0.5873965851082555   accuracy 0.7815699658703071   precision 0.6180521091811415   recall 0.57824578138877
deviation 5/5   iterations 1721/2000   F1 0.5873576356288526   accuracy 0.7906712172923777   precision 0.6107258064516129   recall 0.5783414385786267
deviation 5/5   iterations 1731/2000   F1 0.5907378131970462   accuracy 0.8043230944254836   precision 0.6059801488833747   recall 0.582563309491591
deviation 5/5   iterations 1741/2000   F1 0.5885173934753661   accuracy 0.7952218430034129   precision 0.6091439205955335   recall 0.5796079779917469
deviation 5/5   iterations 1751/2000   F1 0.6026273142334445   accuracy 0.8054607508532423   precision 0.6232754342431762   recall 0.592338574774172
deviation 5/5   iterations 1761/2000   F1 0.5976614513981358   accuracy 0.7997724687144482   precision 0.6200496277915633   recall 0.5875624411785999
deviation 5/5   iterations 1771/2000   F1 0.5923607158666919   accuracy 0.7997724687144482   precision 0.6117245657568238   recall 0.5832347395274892
deviation 5/5   iterations 1781/2000   F1 0.5943076923076923   accuracy 0.8020477815699659   precision 0.613014888337469   recall 0.5851165224541666
deviation 5/5   iterations 1791/2000   F1 0.5885173934753661   accuracy 0.7952218430034129   precision 0.6091439205955335   recall 0.5796079779917469
deviation 5/5   iterations 1801/2000   F1 0.5923607158666919   accuracy 0.7997724687144482   precision 0.6117245657568238   recall 0.5832347395274892
deviation 5/5   iterations 1811/2000   F1 0.5913936417475346   accuracy 0.7986348122866894   precision 0.6110794044665012   recall 0.5823112990714352
deviation 5/5   iterations 1821/2000   F1 0.5894720363195178   accuracy 0.7963594994311718   precision 0.6097890818858561   recall 0.5804981442398661
deviation 5/5   iterations 1831/2000   F1 0.5908148115502105   accuracy 0.8077360637087599   precision 0.6037531017369727   recall 0.5832586618876942
deviation 5/5   iterations 1841/2000   F1 0.5957054263565892   accuracy 0.7974971558589306   precision 0.6187593052109182   recall 0.5857321988356471
deviation 5/5   iterations 1851/2000   F1 0.5979796804817887   accuracy 0.8031854379977247   precision 0.6178225806451613   recall 0.5882541541206646
deviation 5/5   iterations 1861/2000   F1 0.5967719693238585   accuracy 0.8145620022753128   precision 0.6076240694789081   recall 0.5896589147286821
deviation 5/5   iterations 1871/2000   F1 0.5830986328697999   accuracy 0.7792946530147895   precision 0.6125992555831266   recall 0.5746315910660834
deviation 5/5   iterations 1881/2000   F1 0.5974835910072178   accuracy 0.8088737201365188   precision 0.6127233250620348   recall 0.5888487942263686
deviation 5/5   iterations 1891/2000   F1 0.5915776543473616   accuracy 0.8020477815699659   precision 0.6088523573200992   recall 0.5828939909297053
deviation 5/5   iterations 1901/2000   F1 0.5866201550387597   accuracy 0.7929465301478953   precision 0.6078535980148884   recall 0.577859381997313
deviation 5/5   iterations 1911/2000   F1 0.591795665634675   accuracy 0.8088737201365188   precision 0.6043982630272953   recall 0.5842882900931583
deviation 5/5   iterations 1921/2000   F1 0.5908148115502105   accuracy 0.8077360637087599   precision 0.6037531017369727   recall 0.5832586618876942
deviation 5/5   iterations 1931/2000   F1 0.5940589409416461   accuracy 0.7986348122866894   precision 0.615241935483871   recall 0.584496215704825
deviation 5/5   iterations 1941/2000   F1 0.5967719693238585   accuracy 0.8145620022753128   precision 0.6076240694789081   recall 0.5896589147286821
deviation 5/5   iterations 1951/2000   F1 0.5886798088410992   accuracy 0.7861205915813424   precision 0.6164702233250621   recall 0.5793144527619595
deviation 5/5   iterations 1961/2000   F1 0.5960106627447376   accuracy 0.800910125142207   precision 0.6165322580645161   recall 0.586351935276271
deviation 5/5   iterations 1971/2000   F1 0.5988758982416414   accuracy 0.820250284414107   precision 0.6066873449131513   recall 0.5931091235896658
deviation 5/5   iterations 1981/2000   F1 0.5946640316205534   accuracy 0.8088737201365188   precision 0.608560794044665   recall 0.5865925104900641
deviation 5/5   iterations 1991/2000   F1 0.5873576356288526   accuracy 0.7906712172923777   precision 0.6107258064516129   recall 0.5783414385786267

