deviation 1/5   iterations 10/2000   F1 0.5151764444718044   accuracy 0.6651532349602725   precision 0.575220913107511   recall 0.5360169242522184
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deviation 1/5   iterations 20/2000   F1 0.29800980207745525   accuracy 0.3076049943246311   precision 0.5204896907216495   recall 0.5119263630129158
deviation 1/5   iterations 30/2000   F1 0.4298280745745397   accuracy 0.49375709421112374   precision 0.5685137457044673   recall 0.5290150727650728
deviation 1/5   iterations 40/2000   F1 0.37805087011055444   accuracy 0.41543700340522133   precision 0.5446428571428572   recall 0.5202353137516689
deviation 1/5   iterations 50/2000   F1 0.3955516650639263   accuracy 0.44040862656072643   precision 0.5547005400098184   recall 0.5241023145143846
deviation 1/5   iterations 60/2000   F1 0.4949321225463218   accuracy 0.6027241770715096   precision 0.5974288168875798   recall 0.5420186526084011
deviation 1/5   iterations 70/2000   F1 0.4311148009778147   accuracy 0.49148694665153236   precision 0.5795778105056455   recall 0.5338258002587538
deviation 1/5   iterations 80/2000   F1 0.464546191247974   accuracy 0.5505107832009081   precision 0.5842599410898379   recall 0.5354377651831893
deviation 1/5   iterations 90/2000   F1 0.5047976720471561   accuracy 0.6152099886492622   precision 0.6086340206185568   recall 0.5471928982725528
deviation 1/5   iterations 100/2000   F1 0.5131374026626476   accuracy 0.637911464245176   precision 0.6009327442317134   recall 0.5452290601110927
deviation 1/5   iterations 110/2000   F1 0.46909619926468793   accuracy 0.5505107832009081   precision 0.6007302405498282   recall 0.5423176076308327
deviation 1/5   iterations 120/2000   F1 0.4672505034133883   accuracy 0.5527809307604994   precision 0.5896661757486499   recall 0.5377115013368846
deviation 1/5   iterations 130/2000   F1 0.5001392965862144   accuracy 0.6208853575482406   precision 0.5871502209131074   recall 0.5384807135812371
deviation 1/5   iterations 140/2000   F1 0.49006871509209005   accuracy 0.601589103291714   precision 0.5844317623956798   recall 0.5365565285778052
deviation 1/5   iterations 150/2000   F1 0.4954995962117319   accuracy 0.601589103291714   precision 0.6009020618556701   recall 0.5434200519678053
deviation 1/5   iterations 160/2000   F1 0.4967987885872165   accuracy 0.6095346197502838   precision 0.593059646539028   recall 0.5404620113341658
deviation 1/5   iterations 170/2000   F1 0.5024254988781107   accuracy 0.6242905788876277   precision 0.5890832106038291   recall 0.5394612373600087
deviation 1/5   iterations 180/2000   F1 0.4741358385606138   accuracy 0.5561861520998865   precision 0.6080694648993619   recall 0.5454163314146603
deviation 1/5   iterations 190/2000   F1 0.5116107175854634   accuracy 0.6424517593643587   precision 0.5911573392243495   recall 0.5413742201426025
deviation 1/5   iterations 200/2000   F1 0.5004692449067376   accuracy 0.604994324631101   precision 0.6110702012763869   recall 0.5477612885520677
deviation 1/5   iterations 210/2000   F1 0.48077512435465236   accuracy 0.5743473325766175   precision 0.5977908689248895   recall 0.5413797401302465
deviation 1/5   iterations 220/2000   F1 0.5131700128937189   accuracy 0.6424517593643587   precision 0.5952749140893471   recall 0.543128256980633
deviation 1/5   iterations 230/2000   F1 0.5069679643070457   accuracy 0.6288308740068105   precision 0.5957781050564556   recall 0.5425207318534986
deviation 1/5   iterations 240/2000   F1 0.5031324744509675   accuracy 0.623155505107832   precision 0.5925564555719195   recall 0.5408678075584987
deviation 1/5   iterations 250/2000   F1 0.492178026786363   accuracy 0.5947786606129398   precision 0.6011536573392244   recall 0.5432923626431347
deviation 1/5   iterations 260/2000   F1 0.5026499654641092   accuracy 0.6140749148694665   precision 0.603872115856652   recall 0.5451632354667606
deviation 1/5   iterations 270/2000   F1 0.5367926990267415   accuracy 0.6889897843359818   precision 0.6011045655375552   recall 0.5498336458774424
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deviation 1/5   iterations 280/2000   F1 0.5016910805600767   accuracy 0.6106696935300795   precision 0.6060567010309279   recall 0.545919506025889
deviation 1/5   iterations 290/2000   F1 0.5026499654641092   accuracy 0.6140749148694665   precision 0.603872115856652   recall 0.5451632354667606
deviation 1/5   iterations 300/2000   F1 0.48593101659751037   accuracy 0.5913734392735528   precision 0.5868679430535101   recall 0.5372510631131321
deviation 1/5   iterations 310/2000   F1 0.4883166474136824   accuracy 0.5891032917139614   precision 0.5979320078546884   recall 0.5417862379555928
deviation 1/5   iterations 320/2000   F1 0.50602580557995   accuracy 0.623155505107832   precision 0.6007916053019146   recall 0.5443204999514296
deviation 1/5   iterations 330/2000   F1 0.523793382084832   accuracy 0.6651532349602725   precision 0.5958087874324988   recall 0.5450825825825826
deviation 1/5   iterations 340/2000   F1 0.4824125   accuracy 0.5732122587968218   precision 0.6053816887579775   recall 0.5445085476731046
deviation 1/5   iterations 350/2000   F1 0.5216952928899794   accuracy 0.6503972758229285   precision 0.6080203730976927   recall 0.5490941442898738
deviation 1/5   iterations 360/2000   F1 0.5271632178424474   accuracy 0.662883087400681   precision 0.606872852233677   recall 0.549644257958588
deviation 1/5   iterations 370/2000   F1 0.537507342143906   accuracy 0.6753688989784336   precision 0.6180780559646539   recall 0.555654538092208
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deviation 1/5   iterations 380/2000   F1 0.5113334701638744   accuracy 0.6288308740068105   precision 0.6081308296514483   recall 0.5476944480533541
deviation 1/5   iterations 390/2000   F1 0.4773304474427948   accuracy 0.5675368898978433   precision 0.5980424644084438   recall 0.5413676143130858
deviation 1/5   iterations 400/2000   F1 0.5111968929654944   accuracy 0.626560726447219   precision 0.6109597447226314   recall 0.5487427487006965
deviation 1/5   iterations 410/2000   F1 0.5376927360935467   accuracy 0.7037457434733257   precision 0.5888929798723613   recall 0.5461384599704429
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deviation 1/5   iterations 420/2000   F1 0.5178124862510449   accuracy 0.6469920544835415   precision 0.6019698085419735   recall 0.5462817513368984
deviation 1/5   iterations 430/2000   F1 0.5084384837859282   accuracy 0.6288308740068105   precision 0.5998956799214531   recall 0.5442508426660868
deviation 1/5   iterations 440/2000   F1 0.5352096522616754   accuracy 0.6867196367763905   precision 0.5998159057437408   recall 0.5489986986697513
deviation 1/5   iterations 450/2000   F1 0.5383809274299187   accuracy 0.6912599318955732   precision 0.6023932253313696   recall 0.5506778919746337
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deviation 1/5   iterations 460/2000   F1 0.49063252405685076   accuracy 0.5925085130533485   precision 0.59986499754541   recall 0.5426874691791961
deviation 1/5   iterations 470/2000   F1 0.49164289419087137   accuracy 0.5959137343927355   precision 0.597680412371134   recall 0.5418877099911582
deviation 1/5   iterations 480/2000   F1 0.48908830082715254   accuracy 0.5902383654937571   precision 0.5985763377515956   recall 0.5420858484238766
deviation 1/5   iterations 490/2000   F1 0.530946359643285   accuracy 0.6730987514188422   precision 0.6044366715758468   recall 0.5495631661715883
deviation 1/5   iterations 500/2000   F1 0.5349048265880524   accuracy 0.6969353007945517   precision 0.5891445753559156   recall 0.545396875
deviation 1/5   iterations 510/2000   F1 0.5287675525563653   accuracy 0.662883087400681   precision 0.6109904270986746   recall 0.5513981244671782
deviation 1/5   iterations 520/2000   F1 0.47603667240054165   accuracy 0.5573212258796821   precision 0.6128313696612666   recall 0.5474116591373229
deviation 1/5   iterations 530/2000   F1 0.5412353204912974   accuracy 0.7060158910329172   precision 0.5942992145311733   recall 0.5489444784181827
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deviation 1/5   iterations 540/2000   F1 0.5245704845814978   accuracy 0.6662883087400681   precision 0.596453117329406   recall 0.5454619077919824
deviation 1/5   iterations 550/2000   F1 0.5016023035230353   accuracy 0.6208853575482406   precision 0.5912677957781051   recall 0.5402146874324032
deviation 1/5   iterations 560/2000   F1 0.5239007614836649   accuracy 0.662883087400681   precision 0.5986377025036819   recall 0.5461101549053357
deviation 1/5   iterations 570/2000   F1 0.5270219015283246   accuracy 0.6674233825198638   precision 0.6012150220913107   recall 0.5476264726264726
deviation 1/5   iterations 580/2000   F1 0.4963895395878461   accuracy 0.6174801362088536   precision 0.5810996563573883   recall 0.5357715127105799
deviation 1/5   iterations 590/2000   F1 0.493578373406911   accuracy 0.6027241770715096   precision 0.5933112420225822   recall 0.5403047106097393
deviation 1/5   iterations 600/2000   F1 0.5123955722639933   accuracy 0.6390465380249716   precision 0.597459499263623   recall 0.5438346636637631
deviation 1/5   iterations 610/2000   F1 0.5138592219184324   accuracy 0.6481271282633371   precision 0.590261413843888   recall 0.5413676146334878
deviation 1/5   iterations 620/2000   F1 0.5248353300446323   accuracy 0.674233825198638   precision 0.5886107020127638   recall 0.5427426325199209
deviation 1/5   iterations 630/2000   F1 0.5199224028946337   accuracy 0.659477866061294   precision 0.5925871379479627   recall 0.543212280902738
deviation 1/5   iterations 640/2000   F1 0.5416605699978865   accuracy 0.7094211123723042   precision 0.5921146293568974   recall 0.5484119612472103
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deviation 1/5   iterations 650/2000   F1 0.5363085584180649   accuracy 0.6935300794551645   precision 0.595446735395189   recall 0.5478484501704258
deviation 1/5   iterations 660/2000   F1 0.5039798759291112   accuracy 0.6288308740068105   precision 0.5875429553264605   recall 0.5390425729893047
deviation 1/5   iterations 670/2000   F1 0.49347022587268996   accuracy 0.5947786606129398   precision 0.605271232204222   recall 0.5449983737107723
deviation 1/5   iterations 680/2000   F1 0.5009008089417408   accuracy 0.6220204313280363   precision 0.5877945508100146   recall 0.5388064316635746
deviation 1/5   iterations 690/2000   F1 0.5279371086343154   accuracy 0.6923950056753689   precision 0.5783321060382915   recall 0.539890625
deviation 1/5   iterations 700/2000   F1 0.5153074433656958   accuracy 0.6526674233825198   precision 0.5887211585665194   recall 0.5410230509936556
deviation 1/5   iterations 710/2000   F1 0.5244317257494417   accuracy 0.6685584562996595   precision 0.5936242022582229   recall 0.5444318248005126
deviation 1/5   iterations 720/2000   F1 0.5220312618559829   accuracy 0.6753688989784336   precision 0.581019882179676   recall 0.5394571688144022
deviation 1/5   iterations 730/2000   F1 0.5252081153408091   accuracy 0.6696935300794552   precision 0.5942685321551301   recall 0.5448159169146392
deviation 1/5   iterations 740/2000   F1 0.48472184610158303   accuracy 0.5856980703745743   precision 0.5918814432989691   recall 0.5391819751923379
deviation 1/5   iterations 750/2000   F1 0.5174886505272159   accuracy 0.6583427922814983   precision 0.587825233186058   recall 0.5410556511761331
deviation 1/5   iterations 760/2000   F1 0.5107228298017772   accuracy 0.6458569807037458   precision 0.584855179185076   recall 0.5388898888538901
deviation 1/5   iterations 770/2000   F1 0.5142825950489915   accuracy 0.656072644721907   precision 0.582418998527246   recall 0.5385283993115318
deviation 1/5   iterations 780/2000   F1 0.5039798759291112   accuracy 0.6288308740068105   precision 0.5875429553264605   recall 0.5390425729893047
deviation 1/5   iterations 790/2000   F1 0.49415294085670797   accuracy 0.6163450624290578   precision 0.5763377515954835   recall 0.5337065256267138
deviation 1/5   iterations 800/2000   F1 0.5196363046906085   accuracy 0.6640181611804767   precision 0.5869293078055965   recall 0.5411123493766107
deviation 1/5   iterations 810/2000   F1 0.5213362701908957   accuracy 0.6640181611804767   precision 0.591046882670594   recall 0.542913750216926
deviation 1/5   iterations 820/2000   F1 0.5169390558290908   accuracy 0.6651532349602725   precision 0.5793384879725085   recall 0.53785190650178
deviation 1/5   iterations 830/2000   F1 0.5185414047319693   accuracy 0.6526674233825198   precision 0.5969563082965145   recall 0.5445647881762283
deviation 1/5   iterations 840/2000   F1 0.5222918423906495   accuracy 0.6730987514188422   precision 0.583848797250859   recall 0.5405219454329775
deviation 1/5   iterations 850/2000   F1 0.5344200306396747   accuracy 0.6855845629965948   precision 0.5991715758468336   recall 0.5485846390649238
deviation 1/5   iterations 860/2000   F1 0.5114849384432973   accuracy 0.6469920544835415   precision 0.5854995090819832   recall 0.5392416970844036
deviation 1/5   iterations 870/2000   F1 0.5413788725241239   accuracy 0.720771850170261   precision 0.5820876288659793   recall 0.5453150406504065
deviation 1/5   iterations 880/2000   F1 0.5153946165276032   accuracy 0.6503972758229285   precision 0.5915500736377024   recall 0.5420798781519716
deviation 1/5   iterations 890/2000   F1 0.48822159702029266   accuracy 0.5947786606129398   precision 0.5888009327442317   recall 0.538158297208071
deviation 1/5   iterations 900/2000   F1 0.546973556465751   accuracy 0.7060158910329172   precision 0.606651939126166   recall 0.5545655477275867
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deviation 1/5   iterations 910/2000   F1 0.5579565942102935   accuracy 0.7321225879682179   precision 0.6050012272950418   recall 0.5583061867051944
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deviation 1/5   iterations 920/2000   F1 0.5449945635290463   accuracy 0.6980703745743473   precision 0.6103767795778106   recall 0.5550937270276893
deviation 1/5   iterations 930/2000   F1 0.5298887655238655   accuracy 0.6765039727582293   precision 0.5981345115365734   recall 0.547160686059405
deviation 1/5   iterations 940/2000   F1 0.5385776982597792   accuracy 0.6889897843359818   precision 0.6052221404025528   recall 0.5516525689223057
deviation 1/5   iterations 950/2000   F1 0.5421402025867563   accuracy 0.699205448354143   precision 0.6027859597447226   recall 0.5518704323052149
deviation 1/5   iterations 960/2000   F1 0.5258129625476564   accuracy 0.6730987514188422   precision 0.5920839469808542   recall 0.5441716707877076
deviation 1/5   iterations 970/2000   F1 0.5562099266786484   accuracy 0.7241770715096482   precision 0.6087260677466863   recall 0.5585146435223715
deviation 1/5   iterations 980/2000   F1 0.5279377154899016   accuracy 0.6787741203178207   precision 0.5911880216003927   recall 0.5443227507546202
deviation 1/5   iterations 990/2000   F1 0.503980112430597   accuracy 0.6311010215664018   precision 0.5847140402552774   recall 0.5379612825166364
deviation 1/5   iterations 1000/2000   F1 0.505469024598807   accuracy 0.6356413166855845   precision 0.5831737849779086   recall 0.5375523638539796
deviation 1/5   iterations 1010/2000   F1 0.5039526828562514   accuracy 0.6333711691259932   precision 0.5818851251840942   recall 0.5368761399436246
deviation 1/5   iterations 1020/2000   F1 0.4994326774363543   accuracy 0.6242905788876277   precision 0.580848060873834   recall 0.5359736784622106
deviation 1/5   iterations 1030/2000   F1 0.5386846569459016   accuracy 0.6969353007945517   precision 0.5973797250859106   recall 0.549142202403072
deviation 1/5   iterations 1040/2000   F1 0.4947423157887697   accuracy 0.6106696935300795   precision 0.5854688267059401   recall 0.537328873594271
deviation 1/5   iterations 1050/2000   F1 0.5365668755318327   accuracy 0.6912599318955732   precision 0.5982756504663721   recall 0.5488446851858629
deviation 1/5   iterations 1060/2000   F1 0.5386846569459016   accuracy 0.6969353007945517   precision 0.5973797250859106   recall 0.549142202403072
deviation 1/5   iterations 1070/2000   F1 0.5506473605552178   accuracy 0.7400681044267877   precision 0.5848060873834069   recall 0.5500333072667767
deviation 1/5   iterations 1080/2000   F1 0.5537311588831233   accuracy 0.720771850170261   precision 0.6067930780559646   recall 0.557011164399717
deviation 1/5   iterations 1090/2000   F1 0.5642584519495071   accuracy 0.7434733257661748   precision 0.6073269513991163   recall 0.5618589516870623
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deviation 1/5   iterations 1100/2000   F1 0.5386846569459016   accuracy 0.6969353007945517   precision 0.5973797250859106   recall 0.549142202403072
deviation 1/5   iterations 1110/2000   F1 0.5642396017343826   accuracy 0.7377979568671964   precision 0.6123404516445754   recall 0.5629452619997249
deviation 1/5   iterations 1120/2000   F1 0.5472149528293526   accuracy 0.7037457434733257   precision 0.609480854197349   recall 0.5554985255142035
deviation 1/5   iterations 1130/2000   F1 0.5230172666081357   accuracy 0.6640181611804767   precision 0.5951644575355916   recall 0.5447050412803838
deviation 1/5   iterations 1140/2000   F1 0.5131453732982343   accuracy 0.64472190692395   precision 0.592445999018164   recall 0.5420730140643677
deviation 1/5   iterations 1150/2000   F1 0.5107228298017772   accuracy 0.6458569807037458   precision 0.584855179185076   recall 0.5388898888538901
deviation 1/5   iterations 1160/2000   F1 0.545802959824286   accuracy 0.699205448354143   precision 0.6110211094747178   recall 0.5555350915966799
deviation 1/5   iterations 1170/2000   F1 0.5584772892311782   accuracy 0.7219069239500567   precision 0.615672557682867   recall 0.561264950598024
deviation 1/5   iterations 1180/2000   F1 0.5583494818434578   accuracy 0.7298524404086265   precision 0.6078301423662249   recall 0.55918172142963
deviation 1/5   iterations 1190/2000   F1 0.5583494818434578   accuracy 0.7298524404086265   precision 0.6078301423662249   recall 0.55918172142963
deviation 1/5   iterations 1200/2000   F1 0.5476644881511256   accuracy 0.7150964812712827   precision 0.599453853706431   recall 0.5526748569942798
deviation 1/5   iterations 1210/2000   F1 0.5623831229546516   accuracy 0.7298524404086265   precision 0.61606529209622   recall 0.562983682983683
deviation 1/5   iterations 1220/2000   F1 0.5576442637405702   accuracy 0.720771850170261   precision 0.6150282277859598   recall 0.5607656898340249
deviation 1/5   iterations 1230/2000   F1 0.5676790450928382   accuracy 0.7480136208853575   precision 0.6099042709867452   recall 0.5641852664172365
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deviation 1/5   iterations 1240/2000   F1 0.5302764871658161   accuracy 0.6821793416572077   precision 0.5931210112911144   recall 0.5455295529552955
deviation 1/5   iterations 1250/2000   F1 0.552087775117263   accuracy 0.7185017026106697   precision 0.6055044182621502   recall 0.5560258866773551
deviation 1/5   iterations 1260/2000   F1 0.5847925231476446   accuracy 0.7786606129398411   precision 0.6149484536082475   recall 0.5761351997268692
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deviation 1/5   iterations 1270/2000   F1 0.5753807595912859   accuracy 0.7729852440408627   precision 0.6034916543937162   recall 0.5682517199514366
deviation 1/5   iterations 1280/2000   F1 0.5696140693698095   accuracy 0.7786606129398411   precision 0.5902430044182622   recall 0.5631278009581209
deviation 1/5   iterations 1290/2000   F1 0.5624207921563911   accuracy 0.7468785471055619   precision 0.6010247913598429   recall 0.5596019057549164
deviation 1/5   iterations 1300/2000   F1 0.5436341562120598   accuracy 0.7094211123723042   precision 0.5962322042218949   recall 0.5503208830702092
deviation 1/5   iterations 1310/2000   F1 0.5061659192825112   accuracy 0.6390465380249716   precision 0.5809891998036327   recall 0.5368087551177501
deviation 1/5   iterations 1320/2000   F1 0.5678521656214471   accuracy 0.757094211123723   precision 0.6027061855670104   recall 0.5630234064345101
deviation 1/5   iterations 1330/2000   F1 0.5669890749982283   accuracy 0.7559591373439274   precision 0.6020618556701032   recall 0.5623958942961329
deviation 1/5   iterations 1340/2000   F1 0.5489047402865275   accuracy 0.7196367763904654   precision 0.5979135984290623   recall 0.5526955441947714
deviation 1/5   iterations 1350/2000   F1 0.5576601795076869   accuracy 0.7434733257661748   precision 0.5949742268041237   recall 0.5558413912541492
deviation 1/5   iterations 1360/2000   F1 0.5591959972394754   accuracy 0.7366628830874007   precision 0.603460972017673   recall 0.5585059130531342
deviation 1/5   iterations 1370/2000   F1 0.5484755797553055   accuracy 0.7162315550510783   precision 0.6000981836033382   recall 0.5531550202687731
deviation 1/5   iterations 1380/2000   F1 0.5407733689856594   accuracy 0.70261066969353   precision 0.5964837997054492   recall 0.5494794944739558
deviation 1/5   iterations 1390/2000   F1 0.5484839293371963   accuracy 0.7219069239500567   precision 0.5950846833578792   recall 0.551743137647766
deviation 1/5   iterations 1400/2000   F1 0.5352096522616754   accuracy 0.6867196367763905   precision 0.5998159057437408   recall 0.5489986986697513
deviation 1/5   iterations 1410/2000   F1 0.5584772892311782   accuracy 0.7219069239500567   precision 0.615672557682867   recall 0.561264950598024
deviation 1/5   iterations 1420/2000   F1 0.549718270061831   accuracy 0.720771850170261   precision 0.5985579283259695   recall 0.5531877549939066
deviation 1/5   iterations 1430/2000   F1 0.5566849494288734   accuracy 0.7275822928490352   precision 0.6065414825724104   recall 0.5581415597288826
deviation 1/5   iterations 1440/2000   F1 0.5694037145650048   accuracy 0.7502837684449489   precision 0.6111929307805596   recall 0.5653773993361235
deviation 1/5   iterations 1450/2000   F1 0.5524157894850625   accuracy 0.7332576617480137   precision 0.5932928325969563   recall 0.5529204956836535
deviation 1/5   iterations 1460/2000   F1 0.5776423826277087   accuracy 0.7854710556186152   precision 0.598226558664703   recall 0.5700623282035121
deviation 1/5   iterations 1470/2000   F1 0.52480389588374   accuracy 0.6821793416572077   precision 0.5807682866961218   recall 0.5399749738805064
deviation 1/5   iterations 1480/2000   F1 0.5436467235291325   accuracy 0.7150964812712827   precision 0.5912187039764359   recall 0.5488273551438707
deviation 1/5   iterations 1490/2000   F1 0.5565691040093771   accuracy 0.7514188422247446   precision 0.5871318114874816   recall 0.5536669992743106
deviation 1/5   iterations 1500/2000   F1 0.5751392699758875   accuracy 0.7695800227014756   precision 0.6056762395679921   recall 0.5682398161356792
deviation 1/5   iterations 1510/2000   F1 0.520214045281097   accuracy 0.6674233825198638   precision 0.5847447226313205   recall 0.5404311879332958
deviation 1/5   iterations 1520/2000   F1 0.5270649829002949   accuracy 0.6969353007945517   precision 0.5726742758959253   recall 0.5377204046272231
deviation 1/5   iterations 1530/2000   F1 0.5156570068682974   accuracy 0.6685584562996595   precision 0.5730363279332351   recall 0.5352965599051008
deviation 1/5   iterations 1540/2000   F1 0.5632692616874185   accuracy 0.7480136208853575   precision 0.6016691212567501   recall 0.5601886161849543
deviation 1/5   iterations 1550/2000   F1 0.530918239607212   accuracy 0.70261066969353   precision 0.5758959253804614   recall 0.5398880245623541
deviation 1/5   iterations 1560/2000   F1 0.5449778524782465   accuracy 0.7321225879682179   precision 0.5802957781050564   recall 0.5462792671712527
deviation 1/5   iterations 1570/2000   F1 0.5608787574558554   accuracy 0.7604994324631101   precision 0.5881688757977418   recall 0.5564699963841595
deviation 1/5   iterations 1580/2000   F1 0.5371597584181351   accuracy 0.7116912599318955   precision 0.5810505645557191   recall 0.5435017456030564
deviation 1/5   iterations 1590/2000   F1 0.5549050491842253   accuracy 0.7491486946651532   precision 0.5858431516936672   recall 0.5524805294197092
deviation 1/5   iterations 1600/2000   F1 0.5881177408857151   accuracy 0.8263337116912599   precision 0.5884818360333824   recall 0.5877601947656725
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deviation 1/5   iterations 1610/2000   F1 0.5721538733223451   accuracy 0.775255391600454   precision 0.5965451644575356   recall 0.5653754737052058
deviation 1/5   iterations 1620/2000   F1 0.5047105244779664   accuracy 0.6345062429057888   precision 0.5825294550810014   recall 0.5372136137244051
deviation 1/5   iterations 1630/2000   F1 0.552557333482588   accuracy 0.7219069239500567   precision 0.6033198330878743   recall 0.5556050938585715
deviation 1/5   iterations 1640/2000   F1 0.5771922467617183   accuracy 0.7661748013620885   precision 0.6119783996072656   recall 0.570304674135832
deviation 1/5   iterations 1650/2000   F1 0.5399770090752606   accuracy 0.7014755959137344   precision 0.595839469808542   recall 0.5490336435218325
deviation 1/5   iterations 1660/2000   F1 0.5859875937258505   accuracy 0.7956867196367764   precision 0.6040255277368679   recall 0.5777129863938094
deviation 1/5   iterations 1670/2000   F1 0.5775404546525899   accuracy 0.7990919409761634   precision 0.5894882179675994   recall 0.5711129966645211
deviation 1/5   iterations 1680/2000   F1 0.5842083582268708   accuracy 0.8036322360953462   precision 0.5961831124202258   recall 0.5773489932885907
deviation 1/5   iterations 1690/2000   F1 0.5477958937198069   accuracy 0.7298524404086265   precision 0.5872422680412371   recall 0.5493344345122425
deviation 1/5   iterations 1700/2000   F1 0.5169390558290908   accuracy 0.6651532349602725   precision 0.5793384879725085   recall 0.53785190650178
deviation 1/5   iterations 1710/2000   F1 0.5632692616874185   accuracy 0.7480136208853575   precision 0.6016691212567501   recall 0.5601886161849543
deviation 1/5   iterations 1720/2000   F1 0.5460473925927435   accuracy 0.7128263337116912   precision 0.5981651939126166   recall 0.5517240264359342
deviation 1/5   iterations 1730/2000   F1 0.5407733689856594   accuracy 0.70261066969353   precision 0.5964837997054492   recall 0.5494794944739558
deviation 1/5   iterations 1740/2000   F1 0.5641819312528268   accuracy 0.7616345062429057   precision 0.5929307805596465   recall 0.5592794400864296
deviation 1/5   iterations 1750/2000   F1 0.5809028163517606   accuracy 0.8104426787741204   precision 0.5876963672066765   recall 0.5761228533685601
deviation 1/5   iterations 1760/2000   F1 0.5739934826027541   accuracy 0.7911464245175936   precision 0.5890954835542465   recall 0.5672811358875975
deviation 1/5   iterations 1770/2000   F1 0.5468644906033631   accuracy 0.7196367763904654   precision 0.5937960235640648   recall 0.5507577971414909
deviation 1/5   iterations 1780/2000   F1 0.5737908568233479   accuracy 0.7741203178206584   precision 0.600018409425626   recall 0.5668276642503363
deviation 1/5   iterations 1790/2000   F1 0.558093935248518   accuracy 0.7502837684449489   precision 0.5906050564555719   recall 0.555188009269642
deviation 1/5   iterations 1800/2000   F1 0.5676351750557472   accuracy 0.7661748013620885   precision 0.5955081001472754   recall 0.5619300004774865
deviation 1/5   iterations 1810/2000   F1 0.5595767253216068   accuracy 0.7491486946651532   precision 0.5940783014236622   recall 0.5566832305485307
deviation 1/5   iterations 1820/2000   F1 0.5659029317565903   accuracy 0.7639046538024972   precision 0.594219440353461   recall 0.5605919494869771
deviation 1/5   iterations 1830/2000   F1 0.5727044440299043   accuracy 0.8081725312145289   precision 0.5781725576828669   recall 0.5687865828635608
deviation 1/5   iterations 1840/2000   F1 0.558093935248518   accuracy 0.7502837684449489   precision 0.5906050564555719   recall 0.555188009269642
deviation 1/5   iterations 1850/2000   F1 0.5635105172278472   accuracy 0.7707150964812712   precision 0.5857326951399117   recall 0.5580538195598697
deviation 1/5   iterations 1860/2000   F1 0.5731011945007888   accuracy 0.8047673098751419   precision 0.5803571428571428   recall 0.5683754882098624
deviation 1/5   iterations 1870/2000   F1 0.5623425176687493   accuracy 0.7797956867196367   precision 0.5785346097201767   recall 0.5568648360437216
deviation 1/5   iterations 1880/2000   F1 0.5608787574558554   accuracy 0.7604994324631101   precision 0.5881688757977418   recall 0.5564699963841595
deviation 1/5   iterations 1890/2000   F1 0.5787069044985251   accuracy 0.811577752553916   precision 0.5842231222385861   recall 0.5746248368856024
deviation 1/5   iterations 1900/2000   F1 0.5708645604559943   accuracy 0.8059023836549376   precision 0.5768838978890525   recall 0.566737333276516
deviation 1/5   iterations 1910/2000   F1 0.5394794761747552   accuracy 0.6980703745743473   precision 0.5980240549828179   recall 0.5495785174241766
deviation 1/5   iterations 1920/2000   F1 0.5476583415850662   accuracy 0.7457434733257662   precision 0.5756750122729505   recall 0.54643631762863
deviation 1/5   iterations 1930/2000   F1 0.5521960126332411   accuracy 0.7661748013620885   precision 0.5708026509572901   recall 0.548382227142354
deviation 1/5   iterations 1940/2000   F1 0.530918239607212   accuracy 0.70261066969353   precision 0.5758959253804614   recall 0.5398880245623541
deviation 1/5   iterations 1950/2000   F1 0.5593083949543279   accuracy 0.7911464245175936   precision 0.5685076092292587   recall 0.5547641472411898
deviation 1/5   iterations 1960/2000   F1 0.5642342042984296   accuracy 0.7786606129398411   precision 0.5820078546882671   recall 0.5584939685207556
deviation 1/5   iterations 1970/2000   F1 0.5847117941197312   accuracy 0.8263337116912599   precision 0.5843642611683849   recall 0.5850658350658351
deviation 1/5   iterations 1980/2000   F1 0.5706909767849321   accuracy 0.7979568671963677   precision 0.5806087383406972   recall 0.5652169595869327
deviation 1/5   iterations 1990/2000   F1 0.5508443080676209   accuracy 0.757094211123723   precision 0.5738831615120275   recall 0.5479078132709417
deviation 1/5   iterations 2000/2000   F1 0.5686180521194129   accuracy 0.7843359818388195   precision 0.5852295041728032   recall 0.5623473748473748

deviation 2/5   iterations 10/2000   F1 0.39740285611125636   accuracy 0.4375   precision 0.5736098310291858   recall 0.5329236654647789
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deviation 2/5   iterations 20/2000   F1 0.3602146210596915   accuracy 0.3840909090909091   precision 0.5638709677419356   recall 0.5312396694214876
deviation 2/5   iterations 30/2000   F1 0.480177366493156   accuracy 0.5647727272727273   precision 0.6129339477726574   recall 0.5475672877846791
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deviation 2/5   iterations 40/2000   F1 0.3461277173913043   accuracy 0.36363636363636365   precision 0.5687250384024578   recall 0.535594040186101
deviation 2/5   iterations 50/2000   F1 0.3073185529213019   accuracy 0.3159090909090909   precision 0.5498617511520737   recall 0.5295239065421921
deviation 2/5   iterations 60/2000   F1 0.4904346955128205   accuracy 0.5795454545454546   precision 0.621321044546851   recall 0.5512827838409233
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deviation 2/5   iterations 70/2000   F1 0.35812249765738136   accuracy 0.37727272727272726   precision 0.584700460829493   recall 0.5430482602694381
deviation 2/5   iterations 80/2000   F1 0.3995502085198367   accuracy 0.4318181818181818   precision 0.6074347158218126   recall 0.549549702730122
deviation 2/5   iterations 90/2000   F1 0.497026504790844   accuracy 0.5761363636363637   precision 0.6523195084485407   recall 0.5640886434613555
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deviation 2/5   iterations 100/2000   F1 0.4388442421145538   accuracy 0.48522727272727273   precision 0.6336405529953917   recall 0.5581936685288641
deviation 2/5   iterations 110/2000   F1 0.4675581717309487   accuracy 0.5306818181818181   precision 0.638863287250384   recall 0.5586781322698571
deviation 2/5   iterations 120/2000   F1 0.39912621940271714   accuracy 0.42954545454545456   precision 0.6143778801843318   recall 0.553237126138957
deviation 2/5   iterations 130/2000   F1 0.4251628552685777   accuracy 0.4647727272727273   precision 0.6302611367127496   recall 0.5579919467787114
deviation 2/5   iterations 140/2000   F1 0.45222416418461087   accuracy 0.5034090909090909   precision 0.643963133640553   recall 0.5619042083236456
deviation 2/5   iterations 150/2000   F1 0.4654757497223251   accuracy 0.5227272727272727   precision 0.6508141321044547   recall 0.5641226598951884
deviation 2/5   iterations 160/2000   F1 0.47422947422947426   accuracy 0.5386363636363637   precision 0.6474961597542243   recall 0.562230713793157
deviation 2/5   iterations 170/2000   F1 0.4863228981446558   accuracy 0.5568181818181818   precision 0.6537019969278034   recall 0.5646318966096352
deviation 2/5   iterations 180/2000   F1 0.4293102035658391   accuracy 0.4693181818181818   precision 0.636958525345622   recall 0.5608364811458766
deviation 2/5   iterations 190/2000   F1 0.384469696969697   accuracy 0.4090909090909091   precision 0.6109984639016897   recall 0.5536629851650735
deviation 2/5   iterations 200/2000   F1 0.4687841006709851   accuracy 0.5272727272727272   precision 0.653394777265745   recall 0.565097444081126
deviation 2/5   iterations 210/2000   F1 0.5239277235725788   accuracy 0.6136363636363636   precision 0.6736098310291858   recall 0.5738148606778793
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deviation 2/5   iterations 220/2000   F1 0.5718386610227217   accuracy 0.6818181818181818   precision 0.7040860215053764   recall 0.5916129281383944
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deviation 2/5   iterations 230/2000   F1 0.5379706403944089   accuracy 0.6329545454545454   precision 0.6845775729646697   recall 0.5792595406957108
deviation 2/5   iterations 240/2000   F1 0.4979654404832703   accuracy 0.571590909090909   precision 0.6662058371735791   recall 0.5698619806194343
deviation 2/5   iterations 250/2000   F1 0.55433025442886   accuracy 0.6568181818181819   precision 0.6940092165898617   recall 0.5848648881100461
deviation 2/5   iterations 260/2000   F1 0.5670611713184955   accuracy 0.6772727272727272   precision 0.6973886328725039   recall 0.5883919678184449
deviation 2/5   iterations 270/2000   F1 0.5119275779406055   accuracy 0.5909090909090909   precision 0.677173579109063   recall 0.5746096802405312
deviation 2/5   iterations 280/2000   F1 0.5404669743275087   accuracy 0.6363636363636364   precision 0.6865130568356375   recall 0.5802570976833711
deviation 2/5   iterations 290/2000   F1 0.5708792905054587   accuracy 0.6840909090909091   precision 0.6971428571428572   recall 0.5891690891607517
deviation 2/5   iterations 300/2000   F1 0.549276287782035   accuracy 0.65   precision 0.6901382488479263   recall 0.5827233892396773
deviation 2/5   iterations 310/2000   F1 0.5080374654031563   accuracy 0.5840909090909091   precision 0.6774193548387097   recall 0.5746205014497697
deviation 2/5   iterations 320/2000   F1 0.5074197336318669   accuracy 0.5818181818181818   precision 0.6802457757296467   recall 0.5757810602890194
deviation 2/5   iterations 330/2000   F1 0.5593803325412494   accuracy 0.6602272727272728   precision 0.7041781874039938   recall 0.5892300917273527
deviation 2/5   iterations 340/2000   F1 0.5354168549319154   accuracy 0.6215909090909091   precision 0.6987096774193549   recall 0.584366391184573
deviation 2/5   iterations 350/2000   F1 0.5217273153981077   accuracy 0.6   precision 0.6946850998463902   recall 0.5820179230582059
deviation 2/5   iterations 360/2000   F1 0.5687385531135531   accuracy 0.6886363636363636   precision 0.6832565284178187   recall 0.5842709328149458
deviation 2/5   iterations 370/2000   F1 0.5647048918076956   accuracy 0.6795454545454546   precision 0.6863287250384025   recall 0.5842777817921083
deviation 2/5   iterations 380/2000   F1 0.5411798233114848   accuracy 0.634090909090909   precision 0.6934562211981568   recall 0.5829080625029623
deviation 2/5   iterations 390/2000   F1 0.5517993985027695   accuracy 0.6534090909090909   precision 0.6920737327188939   recall 0.5837872030191269
deviation 2/5   iterations 400/2000   F1 0.5395729780854446   accuracy 0.6454545454545455   precision 0.666973886328725   recall 0.5730389021184641
deviation 2/5   iterations 410/2000   F1 0.5393989081220071   accuracy 0.6488636363636363   precision 0.6606758832565285   recall 0.5707659500768548
deviation 2/5   iterations 420/2000   F1 0.5305158283785956   accuracy 0.6227272727272727   precision 0.6787711213517664   recall 0.5763347763347764
deviation 2/5   iterations 430/2000   F1 0.5201774720207383   accuracy 0.6022727272727273   precision 0.6836251920122888   recall 0.5775190782272164
deviation 2/5   iterations 440/2000   F1 0.566634082763115   accuracy 0.6977272727272728   precision 0.6637173579109064   recall 0.5777279914118519
deviation 2/5   iterations 450/2000   F1 0.5590774425234681   accuracy 0.6738636363636363   precision 0.6789861751152073   recall 0.5806460543509557
deviation 2/5   iterations 460/2000   F1 0.5565386676002695   accuracy 0.6761363636363636   precision 0.6679262672811059   recall 0.5764620962868462
deviation 2/5   iterations 470/2000   F1 0.5523512766438072   accuracy 0.6647727272727273   precision 0.6738248847926267   recall 0.5775646509179443
deviation 2/5   iterations 480/2000   F1 0.53803046111647   accuracy 0.6363636363636364   precision 0.6782795698924731   recall 0.576938783086461
deviation 2/5   iterations 490/2000   F1 0.557389517065182   accuracy 0.6715909090909091   precision 0.6776958525345622   recall 0.5798647932131495
deviation 2/5   iterations 500/2000   F1 0.5454758886228107   accuracy 0.65   precision 0.6777880184331797   recall 0.577769296515097
deviation 2/5   iterations 510/2000   F1 0.5138734359220143   accuracy 0.5965909090909091   precision 0.6721658986175115   recall 0.5726599452327608
deviation 2/5   iterations 520/2000   F1 0.519083635727714   accuracy 0.6022727272727273   precision 0.6795084485407066   recall 0.575828362896402
deviation 2/5   iterations 530/2000   F1 0.5493163700447822   accuracy 0.6625   precision 0.6684178187403994   recall 0.5751518940141694
deviation 2/5   iterations 540/2000   F1 0.5578238617194622   accuracy 0.6818181818181818   precision 0.6629185867895545   recall 0.5751392832650378
deviation 2/5   iterations 550/2000   F1 0.5701962670193261   accuracy 0.7045454545454546   precision 0.6634715821812596   recall 0.578735846488035
deviation 2/5   iterations 560/2000   F1 0.5750701852891633   accuracy 0.7068181818181818   precision 0.6729953917050691   recall 0.5830163644405131
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deviation 2/5   iterations 570/2000   F1 0.5619612190872684   accuracy 0.7   precision 0.6485407066052228   recall 0.5718130454672378
deviation 2/5   iterations 580/2000   F1 0.549598785512904   accuracy 0.6647727272727273   precision 0.6655913978494623   recall 0.5742424242424242
deviation 2/5   iterations 590/2000   F1 0.5338983050847458   accuracy 0.634090909090909   precision 0.6687557603686636   recall 0.5729400704303902
deviation 2/5   iterations 600/2000   F1 0.5423801449626414   accuracy 0.6511363636363636   precision 0.6660829493087558   recall 0.5731473663700721
deviation 2/5   iterations 610/2000   F1 0.5359679080609313   accuracy 0.6352272727272728   precision 0.6735176651305683   recall 0.5749405570652174
deviation 2/5   iterations 620/2000   F1 0.5283789301755819   accuracy 0.6181818181818182   precision 0.6803072196620583   recall 0.5767394180931908
deviation 2/5   iterations 630/2000   F1 0.5157890810064724   accuracy 0.5977272727272728   precision 0.6769278033794163   recall 0.5746483400822311
deviation 2/5   iterations 640/2000   F1 0.5583203276694583   accuracy 0.6886363636363636   precision 0.6544393241167434   recall 0.5725811574868178
deviation 2/5   iterations 650/2000   F1 0.5491772688719254   accuracy 0.6568181818181819   precision 0.677542242703533   recall 0.5782744141947718
deviation 2/5   iterations 660/2000   F1 0.5487679813742066   accuracy 0.6636363636363637   precision 0.6649462365591398   recall 0.5738640428353666
deviation 2/5   iterations 670/2000   F1 0.5591594964024817   accuracy 0.6897727272727273   precision 0.6550844854070661   recall 0.5730053683820807
deviation 2/5   iterations 680/2000   F1 0.5420487558418592   accuracy 0.6488636363636363   precision 0.6689093701996928   recall 0.5740970350404313
deviation 2/5   iterations 690/2000   F1 0.5405123164813563   accuracy 0.6522727272727272   precision 0.6584946236559139   recall 0.5701717637201508
deviation 2/5   iterations 700/2000   F1 0.5385781169657113   accuracy 0.6477272727272727   precision 0.6600307219662058   recall 0.570410541170364
deviation 2/5   iterations 710/2000   F1 0.5293880516710853   accuracy 0.6261363636363636   precision 0.6683563748079877   recall 0.5722939885173928
deviation 2/5   iterations 720/2000   F1 0.5347228115066025   accuracy 0.6318181818181818   precision 0.6756989247311828   recall 0.5756037459481469
deviation 2/5   iterations 730/2000   F1 0.5605361459019995   accuracy 0.6875   precision 0.6620276497695852   recall 0.5755344989573546
deviation 2/5   iterations 740/2000   F1 0.5698924731182796   accuracy 0.7   precision 0.6691244239631337   recall 0.5802951009049061
deviation 2/5   iterations 750/2000   F1 0.5690348191036589   accuracy 0.6988636363636364   precision 0.6684792626728111   recall 0.5798504333240145
deviation 2/5   iterations 760/2000   F1 0.5774147727272727   accuracy 0.7295454545454545   precision 0.648847926267281   recall 0.5774699234414874
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deviation 2/5   iterations 770/2000   F1 0.5571740083219254   accuracy 0.6829545454545455   precision 0.659447004608295   recall 0.573871011819362
deviation 2/5   iterations 780/2000   F1 0.5580126467931347   accuracy 0.6840909090909091   precision 0.6600921658986175   recall 0.5742836778332145
deviation 2/5   iterations 790/2000   F1 0.5645021526472377   accuracy 0.7125   precision 0.6391705069124424   recall 0.5699436744978879
deviation 2/5   iterations 800/2000   F1 0.5640828743423585   accuracy 0.6943181818181818   precision 0.6617818740399386   recall 0.5764145248543103
deviation 2/5   iterations 810/2000   F1 0.5374417897764963   accuracy 0.6443181818181818   precision 0.6622119815668203   recall 0.5710227272727273
deviation 2/5   iterations 820/2000   F1 0.5393939393939393   accuracy 0.6545454545454545   precision 0.6515514592933949   recall 0.5675475831849925
deviation 2/5   iterations 830/2000   F1 0.5519447457552078   accuracy 0.6863636363636364   precision 0.6407987711213519   recall 0.5666168578588415
deviation 2/5   iterations 840/2000   F1 0.5549766792062926   accuracy 0.6840909090909091   precision 0.6518586789554532   recall 0.5709064201653671
deviation 2/5   iterations 850/2000   F1 0.5475254176557531   accuracy 0.6738636363636363   precision 0.64605222734255   recall 0.5672608941709112
deviation 2/5   iterations 860/2000   F1 0.526669786232059   accuracy 0.6329545454545454   precision 0.64752688172043   recall 0.5642404589139323
deviation 2/5   iterations 870/2000   F1 0.5323431277580454   accuracy 0.6409090909090909   precision 0.6520430107526882   recall 0.5666338142708653
deviation 2/5   iterations 880/2000   F1 0.5747322361942659   accuracy 0.7284090909090909   precision 0.6440860215053763   recall 0.5751776050883537
deviation 2/5   iterations 890/2000   F1 0.5610513395817881   accuracy 0.696590909090909   precision 0.6507219662058372   recall 0.5721963221963222
deviation 2/5   iterations 900/2000   F1 0.5550963884553667   accuracy 0.6863636363636364   precision 0.6490322580645161   recall 0.5700400228702115
deviation 2/5   iterations 910/2000   F1 0.5282238126219909   accuracy 0.6488636363636363   precision 0.6277419354838709   recall 0.5572727272727273
deviation 2/5   iterations 920/2000   F1 0.5208081117581527   accuracy 0.6284090909090909   precision 0.6367127496159755   recall 0.5595314540122862
deviation 2/5   iterations 930/2000   F1 0.5341117216117216   accuracy 0.6636363636363637   precision 0.6237788018433179   recall 0.5569199645115536
deviation 2/5   iterations 940/2000   F1 0.5695498441714533   accuracy 0.7215909090909091   precision 0.6402150537634408   recall 0.5720983722576078
deviation 2/5   iterations 950/2000   F1 0.5373224626199188   accuracy 0.6681818181818182   precision 0.6263594470046083   recall 0.5584528540000341
deviation 2/5   iterations 960/2000   F1 0.5330289545165579   accuracy 0.6556818181818181   precision 0.6316129032258064   recall 0.5594524380495604
deviation 2/5   iterations 970/2000   F1 0.5478777767342677   accuracy 0.6829545454545455   precision 0.6347465437788018   recall 0.5636449118896705
deviation 2/5   iterations 980/2000   F1 0.5218629109526234   accuracy 0.6397727272727273   precision 0.6225806451612903   recall 0.5544498788183149
deviation 2/5   iterations 990/2000   F1 0.5586489942495731   accuracy 0.7022727272727273   precision 0.6374807987711213   recall 0.5675121144643385
deviation 2/5   iterations 1000/2000   F1 0.5293250873128883   accuracy 0.6568181818181819   precision 0.6199078341013824   recall 0.554672747953449
deviation 2/5   iterations 1010/2000   F1 0.535761418729709   accuracy 0.6534090909090909   precision 0.6426728110599078   recall 0.5638136487556064
deviation 2/5   iterations 1020/2000   F1 0.5670518593154696   accuracy 0.7159090909090909   precision 0.6411059907834101   recall 0.5713912670434409
deviation 2/5   iterations 1030/2000   F1 0.5745736752487786   accuracy 0.7431818181818182   precision 0.6277726574500768   recall 0.5713922781672491
deviation 2/5   iterations 1040/2000   F1 0.5628051948051949   accuracy 0.7011363636363637   precision 0.6491858678955453   recall 0.5722619047619047
deviation 2/5   iterations 1050/2000   F1 0.5491645594622565   accuracy 0.7170454545454545   precision 0.6005837173579109   recall 0.5535681562344564
deviation 2/5   iterations 1060/2000   F1 0.556094119661747   accuracy 0.6920454545454545   precision 0.6440245775729647   recall 0.5687406156156156
deviation 2/5   iterations 1070/2000   F1 0.5602863251836013   accuracy 0.7068181818181818   precision 0.6359447004608294   recall 0.567589860146269
deviation 2/5   iterations 1080/2000   F1 0.5526441429513039   accuracy 0.7011363636363637   precision 0.6244854070660523   recall 0.561762267095893
deviation 2/5   iterations 1090/2000   F1 0.556110481385371   accuracy 0.7011363636363637   precision 0.6327188940092165   recall 0.5653057275541795
deviation 2/5   iterations 1100/2000   F1 0.5787387357123062   accuracy 0.740909090909091   precision 0.6388325652841782   recall 0.5757819679498789
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deviation 2/5   iterations 1110/2000   F1 0.5818899610397463   accuracy 0.75   precision 0.6357603686635944   recall 0.5767875388368747
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deviation 2/5   iterations 1120/2000   F1 0.5592870820444837   accuracy 0.7102272727272727   precision 0.6296466973886329   recall 0.5654466501240695
deviation 2/5   iterations 1130/2000   F1 0.5715676728334955   accuracy 0.7340909090909091   precision 0.6308448540706606   recall 0.5706297138990786
deviation 2/5   iterations 1140/2000   F1 0.5642123201844519   accuracy 0.7193181818181819   precision 0.6306912442396313   recall 0.5675238095238095
deviation 2/5   iterations 1150/2000   F1 0.5608389550639317   accuracy 0.7147727272727272   precision 0.628110599078341   recall 0.5655643883172751
deviation 2/5   iterations 1160/2000   F1 0.598395026026605   accuracy 0.7704545454545455   precision 0.647373271889401   recall 0.588493126425077
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deviation 2/5   iterations 1170/2000   F1 0.5729014152006644   accuracy 0.7284090909090909   precision 0.6399692780337942   recall 0.573396741932158
deviation 2/5   iterations 1180/2000   F1 0.5517013416293992   accuracy 0.7022727272727273   precision 0.6210138248847926   recall 0.5604233778186839
deviation 2/5   iterations 1190/2000   F1 0.5794383590449428   accuracy 0.7443181818181818   precision 0.6366513056835638   recall 0.575675087108014
deviation 2/5   iterations 1200/2000   F1 0.5974536645822771   accuracy 0.7693181818181818   precision 0.6467281105990783   recall 0.5877941176470588
deviation 2/5   iterations 1210/2000   F1 0.5822843822843823   accuracy 0.7454545454545455   precision 0.6414132104454685   recall 0.5780831212892281
deviation 2/5   iterations 1220/2000   F1 0.5939158024424225   accuracy 0.7625   precision 0.6469738863287251   recall 0.5855654761904762
deviation 2/5   iterations 1230/2000   F1 0.5633663049393386   accuracy 0.7181818181818181   precision 0.6300460829493088   recall 0.5670291805749973
deviation 2/5   iterations 1240/2000   F1 0.5746373220262242   accuracy 0.7306818181818182   precision 0.6412596006144393   recall 0.5744514106583072
deviation 2/5   iterations 1250/2000   F1 0.5887244953488223   accuracy 0.7511363636363636   precision 0.6487557603686636   recall 0.5828678222295244
deviation 2/5   iterations 1260/2000   F1 0.5668875444156343   accuracy 0.7204545454545455   precision 0.635453149001536   recall 0.5698161250071258
deviation 2/5   iterations 1270/2000   F1 0.5726204278342313   accuracy 0.7329545454545454   precision 0.6343164362519201   recall 0.5719154647857669
deviation 2/5   iterations 1280/2000   F1 0.5437999761308032   accuracy 0.6840909090909091   precision 0.6230414746543779   recall 0.5588309605090751
deviation 2/5   iterations 1290/2000   F1 0.5643382462586414   accuracy 0.7170454545454545   precision 0.6335176651305684   recall 0.5683316142990114
deviation 2/5   iterations 1300/2000   F1 0.6002870665612878   accuracy 0.7727272727272727   precision 0.6486635944700461   recall 0.5899101455953505
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deviation 2/5   iterations 1310/2000   F1 0.6026939335031662   accuracy 0.7806818181818181   precision 0.6449462365591399   recall 0.5913746087818785
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deviation 2/5   iterations 1320/2000   F1 0.6288713548495932   accuracy 0.8125   precision 0.6588940092165898   recall 0.6144815129621759
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deviation 2/5   iterations 1330/2000   F1 0.5913194444444444   accuracy 0.7568181818181818   precision 0.6478648233486943   recall 0.5841580695925861
deviation 2/5   iterations 1340/2000   F1 0.5446376408401725   accuracy 0.6829545454545455   precision 0.6265130568356375   recall 0.5601694915254237
deviation 2/5   iterations 1350/2000   F1 0.5644346109628858   accuracy 0.7147727272727272   precision 0.6363440860215054   recall 0.56913806425883
deviation 2/5   iterations 1360/2000   F1 0.5953528091312906   accuracy 0.7693181818181818   precision 0.6426113671274962   recall 0.5859400456174649
deviation 2/5   iterations 1370/2000   F1 0.5922928078925136   accuracy 0.7681818181818182   precision 0.6378494623655915   recall 0.5833698746200325
deviation 2/5   iterations 1380/2000   F1 0.5836805555555555   accuracy 0.7522727272727273   precision 0.6370506912442396   recall 0.5780031474033922
deviation 2/5   iterations 1390/2000   F1 0.5932225002789422   accuracy 0.7693181818181818   precision 0.6384946236559139   recall 0.5840643274853801
deviation 2/5   iterations 1400/2000   F1 0.5982505067995109   accuracy 0.7806818181818181   precision 0.6367127496159755   recall 0.5875736011839164
deviation 2/5   iterations 1410/2000   F1 0.5935202120114964   accuracy 0.775   precision 0.6334869431643625   recall 0.5838214073508191
deviation 2/5   iterations 1420/2000   F1 0.6058725609740312   accuracy 0.803409090909091   precision 0.6290322580645161   recall 0.5948886639676113
deviation 2/5   iterations 1430/2000   F1 0.6036593947923998   accuracy 0.7818181818181819   precision 0.6455913978494623   recall 0.5921446626482598
deviation 2/5   iterations 1440/2000   F1 0.5696227929373996   accuracy 0.7340909090909091   precision 0.6267281105990783   recall 0.5687871450583315
deviation 2/5   iterations 1450/2000   F1 0.6014492753623188   accuracy 0.7818181818181819   precision 0.6414746543778802   recall 0.5902580144412823
deviation 2/5   iterations 1460/2000   F1 0.5813621587335148   accuracy 0.7545454545454545   precision 0.6301075268817204   recall 0.5754961173425367
deviation 2/5   iterations 1470/2000   F1 0.582257882895315   accuracy 0.7556818181818182   precision 0.630752688172043   recall 0.5761217948717948
deviation 2/5   iterations 1480/2000   F1 0.5851154019353106   accuracy 0.7465909090909091   precision 0.6461751152073733   recall 0.5804782008605992
deviation 2/5   iterations 1490/2000   F1 0.6001665179898901   accuracy 0.7829545454545455   precision 0.6380030721966206   recall 0.5891269841269842
deviation 2/5   iterations 1500/2000   F1 0.6106388267462093   accuracy 0.7977272727272727   precision 0.6422734254992319   recall 0.5981351981351981
deviation 2/5   iterations 1510/2000   F1 0.61367781231264   accuracy 0.8011363636363636   precision 0.6442089093701997   recall 0.600888957667045
deviation 2/5   iterations 1520/2000   F1 0.6056565656565657   accuracy 0.7920454545454545   precision 0.6390476190476191   recall 0.593744821872411
deviation 2/5   iterations 1530/2000   F1 0.6019790282085363   accuracy 0.7772727272727272   precision 0.6471274961597542   recall 0.5909771350846131
deviation 2/5   iterations 1540/2000   F1 0.6048475908797861   accuracy 0.7965909090909091   precision 0.633394777265745   recall 0.5933233605007049
deviation 2/5   iterations 1550/2000   F1 0.6130331125827815   accuracy 0.8113636363636364   precision 0.6335483870967742   recall 0.6019704433497537
deviation 2/5   iterations 1560/2000   F1 0.6119728735734116   accuracy 0.7965909090909091   precision 0.6457450076804916   recall 0.5991506153023007
deviation 2/5   iterations 1570/2000   F1 0.5985767721923183   accuracy 0.7784090909090909   precision 0.6395391705069124   recall 0.5879659756437668
deviation 2/5   iterations 1580/2000   F1 0.5828414010232192   accuracy 0.759090909090909   precision 0.6285714285714286   recall 0.5761291120635083
deviation 2/5   iterations 1590/2000   F1 0.6104289475523661   accuracy 0.8056818181818182   precision 0.6344393241167434   recall 0.598864950838635
deviation 2/5   iterations 1600/2000   F1 0.61367781231264   accuracy 0.8011363636363636   precision 0.6442089093701997   recall 0.600888957667045
deviation 2/5   iterations 1610/2000   F1 0.5944187391555813   accuracy 0.7681818181818182   precision 0.6419662058371736   recall 0.5852463492204045
deviation 2/5   iterations 1620/2000   F1 0.5900298292600532   accuracy 0.7602272727272728   precision 0.6415668202764977   recall 0.5824175824175823
deviation 2/5   iterations 1630/2000   F1 0.6176953642384105   accuracy 0.8136363636363636   precision 0.6389554531490016   recall 0.6060989913206661
deviation 2/5   iterations 1640/2000   F1 0.6066449882602588   accuracy 0.7931818181818182   precision 0.6396927803379416   recall 0.5946038166096589
deviation 2/5   iterations 1650/2000   F1 0.6143458453510533   accuracy 0.8045454545454546   precision 0.6420276497695853   recall 0.6018183259772181
deviation 2/5   iterations 1660/2000   F1 0.5935202120114964   accuracy 0.775   precision 0.6334869431643625   recall 0.5838214073508191
deviation 2/5   iterations 1670/2000   F1 0.6125055041831792   accuracy 0.8136363636363636   precision 0.6307219662058372   recall 0.6020883117880209
deviation 2/5   iterations 1680/2000   F1 0.6095270811863048   accuracy 0.7886363636363637   precision 0.6494623655913978   recall 0.5969285697208297
deviation 2/5   iterations 1690/2000   F1 0.6060009825774022   accuracy 0.7897727272727273   precision 0.6418740399385561   recall 0.5939809840122432
deviation 2/5   iterations 1700/2000   F1 0.6157253738878021   accuracy 0.803409090909091   precision 0.6454992319508448   recall 0.6027777777777777
deviation 2/5   iterations 1710/2000   F1 0.6195417207090359   accuracy 0.8102272727272727   precision 0.6452534562211981   recall 0.6068175245806824
deviation 2/5   iterations 1720/2000   F1 0.6210205501385837   accuracy 0.8227272727272728   precision 0.6358832565284178   recall 0.6112973196042315
deviation 2/5   iterations 1730/2000   F1 0.619874296785341   accuracy 0.8079545454545455   precision 0.6480798771121352   recall 0.6066900410823063
deviation 2/5   iterations 1740/2000   F1 0.6048679597330113   accuracy 0.7806818181818181   precision 0.6490629800307219   recall 0.5932388390111918
deviation 2/5   iterations 1750/2000   F1 0.6305465074194716   accuracy 0.8352272727272727   precision 0.638863287250384   recall 0.6239035087719298
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deviation 2/5   iterations 1760/2000   F1 0.5994069977190347   accuracy 0.7875   precision 0.6323502304147466   recall 0.5884410721324399
deviation 2/5   iterations 1770/2000   F1 0.6083949181883892   accuracy 0.803409090909091   precision 0.6331490015360983   recall 0.5969106650924833
deviation 2/5   iterations 1780/2000   F1 0.6144878704218228   accuracy 0.8306818181818182   precision 0.6198156682027649   recall 0.6100153457302763
deviation 2/5   iterations 1790/2000   F1 0.6020966958618726   accuracy 0.7852272727272728   precision 0.6392933947772658   recall 0.5907119305995711
deviation 2/5   iterations 1800/2000   F1 0.6023105053191489   accuracy 0.8022727272727272   precision 0.6242703533026114   recall 0.5918658418045222
deviation 2/5   iterations 1810/2000   F1 0.6078952511237052   accuracy 0.8056818181818182   precision 0.6303225806451613   recall 0.5968493150684931
deviation 2/5   iterations 1820/2000   F1 0.6122994652406416   accuracy 0.8022727272727272   precision 0.64073732718894   recall 0.5999005574019313
deviation 2/5   iterations 1830/2000   F1 0.6204334415716529   accuracy 0.8193181818181818   precision 0.6380645161290323   recall 0.609721082854799
deviation 2/5   iterations 1840/2000   F1 0.6108772387210887   accuracy 0.803409090909091   precision 0.6372657450076805   recall 0.5988985692024367
deviation 2/5   iterations 1850/2000   F1 0.6215755879153773   accuracy 0.8261363636363637   precision 0.6337019969278034   recall 0.613031914893617
deviation 2/5   iterations 1860/2000   F1 0.6172310468150917   accuracy 0.8159090909090909   precision 0.6361290322580646   recall 0.6063110010652693
deviation 2/5   iterations 1870/2000   F1 0.6184931718948379   accuracy 0.8090909090909091   precision 0.6446082949308756   recall 0.6057933489764544
deviation 2/5   iterations 1880/2000   F1 0.6203635429064464   accuracy 0.8397727272727272   precision 0.6208602150537634   recall 0.6198747013797474
deviation 2/5   iterations 1890/2000   F1 0.6157253738878021   accuracy 0.803409090909091   precision 0.6454992319508448   recall 0.6027777777777777
deviation 2/5   iterations 1900/2000   F1 0.5862252882597742   accuracy 0.7715909090909091   precision 0.6233179723502305   recall 0.577740076229432
deviation 2/5   iterations 1910/2000   F1 0.6233145466219591   accuracy 0.8090909090909091   precision 0.65284178187404   recall 0.6095708785932641
deviation 2/5   iterations 1920/2000   F1 0.6276403682975267   accuracy 0.8295454545454546   precision 0.6397542242703533   recall 0.6189206428877665
deviation 2/5   iterations 1930/2000   F1 0.6199373347747986   accuracy 0.821590909090909   precision 0.6352380952380953   recall 0.6100896322676164
deviation 2/5   iterations 1940/2000   F1 0.6193606989921709   accuracy 0.8181818181818182   precision 0.6374193548387097   recall 0.6085690152331575
deviation 2/5   iterations 1950/2000   F1 0.6129822896900696   accuracy 0.7977272727272727   precision 0.6463901689708141   recall 0.6000453510930452
deviation 2/5   iterations 1960/2000   F1 0.6195417207090359   accuracy 0.8102272727272727   precision 0.6452534562211981   recall 0.6068175245806824
deviation 2/5   iterations 1970/2000   F1 0.6166427728450017   accuracy 0.8125   precision 0.6383102918586789   recall 0.6050259415475346
deviation 2/5   iterations 1980/2000   F1 0.6219765973263641   accuracy 0.8102272727272727   precision 0.6493701996927803   recall 0.6087170405352224
deviation 2/5   iterations 1990/2000   F1 0.6169796036802844   accuracy 0.8363636363636363   precision 0.6189247311827957   recall 0.6151548685729245
deviation 2/5   iterations 2000/2000   F1 0.621956589447004   accuracy 0.8181818181818182   precision 0.6415360983102918   recall 0.6105336903425177

deviation 3/5   iterations 10/2000   F1 0.36449579831932777   accuracy 0.4   precision 0.5235023041474655   recall 0.5107764085399868
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deviation 3/5   iterations 20/2000   F1 0.37870194466512386   accuracy 0.4193181818181818   precision 0.5344700460829493   recall 0.5154545454545455
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deviation 3/5   iterations 30/2000   F1 0.47488174651303816   accuracy 0.5806818181818182   precision 0.5684485407066052   recall 0.5293157894736842
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deviation 3/5   iterations 40/2000   F1 0.3478120770767545   accuracy 0.37272727272727274   precision 0.5327188940092166   recall 0.5159401548215601
deviation 3/5   iterations 50/2000   F1 0.45457623839009287   accuracy 0.5340909090909091   precision 0.579047619047619   recall 0.5332258947618531
deviation 3/5   iterations 60/2000   F1 0.44369897244139106   accuracy 0.5181818181818182   precision 0.5700153609831029   recall 0.5294549477591493
deviation 3/5   iterations 70/2000   F1 0.44346280593920095   accuracy 0.5147727272727273   precision 0.5763133640552995   recall 0.5321428571428571
deviation 3/5   iterations 80/2000   F1 0.5160523885035746   accuracy 0.6488636363636363   precision 0.5948079877112136   recall 0.5434100065269745
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deviation 3/5   iterations 90/2000   F1 0.4911848880102848   accuracy 0.5931818181818181   precision 0.6002457757296467   recall 0.5429073369836787
deviation 3/5   iterations 100/2000   F1 0.5110045923546331   accuracy 0.6261363636363636   precision 0.6107219662058372   recall 0.5486669259355285
deviation 3/5   iterations 110/2000   F1 0.5583272077711647   accuracy 0.7113636363636363   precision 0.6261751152073732   recall 0.5641273866255285
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deviation 3/5   iterations 120/2000   F1 0.5032230883364335   accuracy 0.6147727272727272   precision 0.6042703533026114   recall 0.5454044393073482
deviation 3/5   iterations 130/2000   F1 0.4644536652835408   accuracy 0.5375   precision 0.609800307219662   recall 0.5461757105943152
deviation 3/5   iterations 140/2000   F1 0.5688119774450711   accuracy 0.7136363636363636   precision 0.6480491551459293   recall 0.5739223807332413
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deviation 3/5   iterations 150/2000   F1 0.6161520542732781   accuracy 0.7863636363636364   precision 0.6646390168970814   recall 0.6025850121363869
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deviation 3/5   iterations 160/2000   F1 0.5026008601269711   accuracy 0.6079545454545454   precision 0.6127496159754224   recall 0.548622151563328
deviation 3/5   iterations 170/2000   F1 0.5236959854922894   accuracy 0.6465909090909091   precision 0.6182181259600614   recall 0.5531327324142806
deviation 3/5   iterations 180/2000   F1 0.583627793851463   accuracy 0.7329545454545454   precision 0.6590168970814132   recall 0.5825592078399346
deviation 3/5   iterations 190/2000   F1 0.5010979358805445   accuracy 0.5965909090909091   precision 0.6268817204301075   recall 0.5540293040293041
deviation 3/5   iterations 200/2000   F1 0.5670889189521584   accuracy 0.7090909090909091   precision 0.6495852534562212   recall 0.5737552942031883
deviation 3/5   iterations 210/2000   F1 0.5594805194805195   accuracy 0.6988636363636364   precision 0.6437788018433179   recall 0.5696428571428571
deviation 3/5   iterations 220/2000   F1 0.5046060091845967   accuracy 0.6034090909090909   precision 0.6266359447004608   recall 0.5541695578124014
deviation 3/5   iterations 230/2000   F1 0.5404075091575091   accuracy 0.6681818181818182   precision 0.6345929339477727   recall 0.561892867839443
deviation 3/5   iterations 240/2000   F1 0.5526035260352604   accuracy 0.6829545454545455   precision 0.6470967741935484   recall 0.5687931034482758
deviation 3/5   iterations 250/2000   F1 0.5498511904761905   accuracy 0.675   precision 0.6508141321044547   recall 0.5693522228312773
deviation 3/5   iterations 260/2000   F1 0.5827190207126292   accuracy 0.7295454545454545   precision 0.6611981566820276   recall 0.5826919076346994
deviation 3/5   iterations 270/2000   F1 0.5432719466726923   accuracy 0.6659090909090909   precision 0.6456528417818741   recall 0.5662302538570287
deviation 3/5   iterations 280/2000   F1 0.5195559314796797   accuracy 0.6193181818181818   precision 0.6480184331797235   recall 0.5636479888398047
deviation 3/5   iterations 290/2000   F1 0.5339294620957747   accuracy 0.6488636363636363   precision 0.6442089093701997   recall 0.5640570754819973
deviation 3/5   iterations 300/2000   F1 0.5845136921624173   accuracy 0.7363636363636363   precision 0.6568356374807988   recall 0.5824498840371856
deviation 3/5   iterations 310/2000   F1 0.5765266063875591   accuracy 0.7193181818181819   precision 0.6595084485407066   recall 0.5798160173160173
deviation 3/5   iterations 320/2000   F1 0.48354196068336   accuracy 0.5647727272727273   precision 0.625284178187404   recall 0.5527134909309012
deviation 3/5   iterations 330/2000   F1 0.5844444444444444   accuracy 0.7295454545454545   precision 0.6653149001536098   recall 0.5844078431372549
deviation 3/5   iterations 340/2000   F1 0.5917093680199711   accuracy 0.7431818181818182   precision 0.6648233486943165   recall 0.587549527085686
deviation 3/5   iterations 350/2000   F1 0.5087280522662312   accuracy 0.6022727272727273   precision 0.6424577572964669   recall 0.5606305472308956
deviation 3/5   iterations 360/2000   F1 0.532080822403403   accuracy 0.6522727272727272   precision 0.633794162826421   recall 0.5600593560202781
deviation 3/5   iterations 370/2000   F1 0.5696128241569187   accuracy 0.7102272727272727   precision 0.654347158218126   recall 0.5759481424148607
deviation 3/5   iterations 380/2000   F1 0.5627382485904309   accuracy 0.6988636363636364   precision 0.6520122887864823   recall 0.5730811040741091
deviation 3/5   iterations 390/2000   F1 0.5791487326637972   accuracy 0.7227272727272728   precision 0.6614439324116743   recall 0.5813170420713176
deviation 3/5   iterations 400/2000   F1 0.5678348701437833   accuracy 0.7056818181818182   precision 0.6558832565284178   recall 0.5757965056526207
deviation 3/5   iterations 410/2000   F1 0.5539996284532654   accuracy 0.6806818181818182   precision 0.6540399385560676   recall 0.5713659447518845
deviation 3/5   iterations 420/2000   F1 0.55483288166215   accuracy 0.6818181818181818   precision 0.6546850998463902   recall 0.5717747683535281
deviation 3/5   iterations 430/2000   F1 0.5727792207792208   accuracy 0.7079545454545455   precision 0.6654070660522273   recall 0.5801190476190476
deviation 3/5   iterations 440/2000   F1 0.5361318765574086   accuracy 0.65   precision 0.6489708141321044   recall 0.5660990517941755
deviation 3/5   iterations 450/2000   F1 0.5055000472278833   accuracy 0.6011363636363637   precision 0.6335791090629801   recall 0.5569419998323695
deviation 3/5   iterations 460/2000   F1 0.5917093680199711   accuracy 0.7431818181818182   precision 0.6648233486943165   recall 0.587549527085686
deviation 3/5   iterations 470/2000   F1 0.5592771168946852   accuracy 0.6920454545454545   precision 0.652258064516129   recall 0.5721624266144815
deviation 3/5   iterations 480/2000   F1 0.5390112271163314   accuracy 0.6579545454545455   precision 0.6452534562211982   recall 0.5652836691410392
deviation 3/5   iterations 490/2000   F1 0.5328832752613241   accuracy 0.6454545454545455   precision 0.6463901689708141   recall 0.5646747126623993
deviation 3/5   iterations 500/2000   F1 0.5255484109973274   accuracy 0.6295454545454545   precision 0.6497081413210446   recall 0.5649141316452728
deviation 3/5   iterations 510/2000   F1 0.5523560944121692   accuracy 0.6704545454545454   precision 0.6647004608294931   recall 0.5744951670548215
deviation 3/5   iterations 520/2000   F1 0.5470061894864817   accuracy 0.6670454545454545   precision 0.6545314900153609   recall 0.5699870878692759
deviation 3/5   iterations 530/2000   F1 0.5553242678613179   accuracy 0.6954545454545454   precision 0.6377265745007681   recall 0.5665848775242248
deviation 3/5   iterations 540/2000   F1 0.5353033747158594   accuracy 0.6568181818181819   precision 0.6363748079877112   recall 0.5615246015246015
deviation 3/5   iterations 550/2000   F1 0.5518724492412752   accuracy 0.6840909090909091   precision 0.6436251920122888   recall 0.5674988882536053
deviation 3/5   iterations 560/2000   F1 0.5334364344407386   accuracy 0.6443181818181818   precision 0.6498617511520737   recall 0.5660031174904202
deviation 3/5   iterations 570/2000   F1 0.5484405401760774   accuracy 0.6670454545454545   precision 0.6586482334869432   recall 0.5716648903099742
deviation 3/5   iterations 580/2000   F1 0.5491730345076765   accuracy 0.6761363636363636   precision 0.6473425499231951   recall 0.5680569430569431
deviation 3/5   iterations 590/2000   F1 0.5529990842490843   accuracy 0.6772727272727272   precision 0.656221198156682   recall 0.5718386744952221
deviation 3/5   iterations 600/2000   F1 0.5737604881769641   accuracy 0.7113636363636363   precision 0.6632258064516129   recall 0.5798347107438017
deviation 3/5   iterations 610/2000   F1 0.5133380454985732   accuracy 0.615909090909091   precision 0.6337327188940092   recall 0.5576284559863164
deviation 3/5   iterations 620/2000   F1 0.5756991321118612   accuracy 0.7204545454545455   precision 0.6560368663594469   recall 0.5785935788164076
deviation 3/5   iterations 630/2000   F1 0.5078900851679254   accuracy 0.6045454545454545   precision 0.6355145929339479   recall 0.5578643578643578
deviation 3/5   iterations 640/2000   F1 0.5152234867227445   accuracy 0.6204545454545455   precision 0.6321966205837174   recall 0.5572283548344195
deviation 3/5   iterations 650/2000   F1 0.5453582230441734   accuracy 0.6647727272727273   precision 0.6532411674347158   recall 0.5692223998578915
deviation 3/5   iterations 660/2000   F1 0.569546192512738   accuracy 0.7079545454545455   precision 0.6571735791090629   recall 0.5767228140896439
deviation 3/5   iterations 670/2000   F1 0.5774603174603175   accuracy 0.725   precision 0.6545007680491551   recall 0.5788862745098039
deviation 3/5   iterations 680/2000   F1 0.5549766792062926   accuracy 0.6840909090909091   precision 0.6518586789554532   recall 0.5709064201653671
deviation 3/5   iterations 690/2000   F1 0.5523367325111314   accuracy 0.678409090909091   precision 0.6527496159754225   recall 0.5705544455544456
deviation 3/5   iterations 700/2000   F1 0.5549766792062926   accuracy 0.6840909090909091   precision 0.6518586789554532   recall 0.5709064201653671
deviation 3/5   iterations 710/2000   F1 0.5836235554048319   accuracy 0.7352272727272727   precision 0.6561904761904762   recall 0.5819027734818022
deviation 3/5   iterations 720/2000   F1 0.5722341046082053   accuracy 0.7159090909090909   precision 0.6534562211981567   recall 0.5766221813161528
deviation 3/5   iterations 730/2000   F1 0.5350630862039383   accuracy 0.6465909090909091   precision 0.6511520737327189   recall 0.5667086081221798
deviation 3/5   iterations 740/2000   F1 0.5434257285003554   accuracy 0.6681818181818182   precision 0.6428264208909371   recall 0.5653041157465937
deviation 3/5   iterations 750/2000   F1 0.572249531559925   accuracy 0.7181818181818181   precision 0.6506298003072197   recall 0.5758701155614976
deviation 3/5   iterations 760/2000   F1 0.5459616242748773   accuracy 0.6636363636363637   precision 0.6567127496159755   recall 0.5705216472839281
deviation 3/5   iterations 770/2000   F1 0.5365725214113474   accuracy 0.6545454545454545   precision 0.6433179723502305   recall 0.5641787595133145
deviation 3/5   iterations 780/2000   F1 0.530912824309987   accuracy 0.6465909090909091   precision 0.6388018433179723   recall 0.5616552763160767
deviation 3/5   iterations 790/2000   F1 0.5611760817273247   accuracy 0.7034090909090909   precision 0.642242703533026   recall 0.5697104381971043
deviation 3/5   iterations 800/2000   F1 0.5602100489318536   accuracy 0.6954545454545454   precision 0.6500768049155146   recall 0.571757613504827
deviation 3/5   iterations 810/2000   F1 0.5205037132709073   accuracy 0.6318181818181818   precision 0.6304147465437788   recall 0.5571550902363757
deviation 3/5   iterations 820/2000   F1 0.5567647058823529   accuracy 0.6886363636363636   precision 0.6503225806451614   recall 0.5708822251195133
deviation 3/5   iterations 830/2000   F1 0.5800265134776845   accuracy 0.7238636363636364   precision 0.662089093701997   recall 0.5818238213399504
deviation 3/5   iterations 840/2000   F1 0.5419248568515178   accuracy 0.6681818181818182   precision 0.6387096774193548   recall 0.5636019405987457
deviation 3/5   iterations 850/2000   F1 0.5944539788260268   accuracy 0.7488636363636364   precision 0.6639324116743472   recall 0.5887345679012346
deviation 3/5   iterations 860/2000   F1 0.5879315581654347   accuracy 0.7477272727272727   precision 0.6509370199692781   recall 0.5828605352456638
deviation 3/5   iterations 870/2000   F1 0.5653871775434728   accuracy 0.7068181818181818   precision 0.6482949308755761   recall 0.5728225645853323
deviation 3/5   iterations 880/2000   F1 0.5404075091575091   accuracy 0.6681818181818182   precision 0.6345929339477727   recall 0.561892867839443
deviation 3/5   iterations 890/2000   F1 0.5486979685505353   accuracy 0.6840909090909091   precision 0.6353917050691245   recall 0.5640585844608148
deviation 3/5   iterations 900/2000   F1 0.5133380454985732   accuracy 0.615909090909091   precision 0.6337327188940092   recall 0.5576284559863164
deviation 3/5   iterations 910/2000   F1 0.5416376318882812   accuracy 0.6636363636363637   precision 0.6443625192012289   recall 0.565467930605944
deviation 3/5   iterations 920/2000   F1 0.5644976876738511   accuracy 0.7034090909090909   precision 0.6504761904761904   recall 0.5731673797174884
deviation 3/5   iterations 930/2000   F1 0.5645387171163873   accuracy 0.7056818181818182   precision 0.6476497695852534   recall 0.5723603382236034
deviation 3/5   iterations 940/2000   F1 0.5653871775434728   accuracy 0.7068181818181818   precision 0.6482949308755761   recall 0.5728225645853323
deviation 3/5   iterations 950/2000   F1 0.5502941176470588   accuracy 0.6840909090909091   precision 0.6395084485407067   recall 0.565782992901637
deviation 3/5   iterations 960/2000   F1 0.5730976720263249   accuracy 0.7170454545454545   precision 0.6541013824884793   recall 0.5771103896103896
deviation 3/5   iterations 970/2000   F1 0.535948178791523   accuracy 0.6556818181818181   precision 0.6398463901689708   recall 0.5628534817956875
deviation 3/5   iterations 980/2000   F1 0.5592771168946852   accuracy 0.6920454545454545   precision 0.652258064516129   recall 0.5721624266144815
deviation 3/5   iterations 990/2000   F1 0.5637068011314721   accuracy 0.7068181818181818   precision 0.6441781874039938   recall 0.5710892576906065
deviation 3/5   iterations 1000/2000   F1 0.5552615736783822   accuracy 0.6909090909090909   precision 0.6433794162826421   recall 0.5683112898787464
deviation 3/5   iterations 1010/2000   F1 0.5765266063875591   accuracy 0.7193181818181819   precision 0.6595084485407066   recall 0.5798160173160173
deviation 3/5   iterations 1020/2000   F1 0.583443679608634   accuracy 0.7420454545454546   precision 0.6477112135176651   recall 0.5799542358450405
deviation 3/5   iterations 1030/2000   F1 0.5790133537887974   accuracy 0.7363636363636363   precision 0.6444854070660522   recall 0.5771535064406691
deviation 3/5   iterations 1040/2000   F1 0.5806581059390048   accuracy 0.740909090909091   precision 0.6429493087557603   recall 0.5775918996257979
deviation 3/5   iterations 1050/2000   F1 0.5552615736783822   accuracy 0.6909090909090909   precision 0.6433794162826421   recall 0.5683112898787464
deviation 3/5   iterations 1060/2000   F1 0.5586000374321543   accuracy 0.6954545454545454   precision 0.6459600614439325   recall 0.5700427539436828
deviation 3/5   iterations 1070/2000   F1 0.5518724492412752   accuracy 0.6840909090909091   precision 0.6436251920122888   recall 0.5674988882536053
deviation 3/5   iterations 1080/2000   F1 0.5346377578001058   accuracy 0.6579545454545455   precision 0.6329032258064515   recall 0.5601916783543712
deviation 3/5   iterations 1090/2000   F1 0.5290831902065611   accuracy 0.6420454545454546   precision 0.6403379416282642   recall 0.5619359597362027
deviation 3/5   iterations 1100/2000   F1 0.5072991796577586   accuracy 0.6147727272727272   precision 0.616620583717358   recall 0.5505260243632336
deviation 3/5   iterations 1110/2000   F1 0.5800720340409354   accuracy 0.7261363636363637   precision 0.6592626728110599   recall 0.5811298076923077
deviation 3/5   iterations 1120/2000   F1 0.583605359463814   accuracy 0.7306818181818182   precision 0.6618433179723502   recall 0.583219593569912
deviation 3/5   iterations 1130/2000   F1 0.5421138211382114   accuracy 0.6727272727272727   precision 0.6330568356374808   recall 0.5617391304347826
deviation 3/5   iterations 1140/2000   F1 0.5544508109491993   accuracy 0.6988636363636364   precision 0.6314285714285715   recall 0.5644106381441064
deviation 3/5   iterations 1150/2000   F1 0.5330289545165579   accuracy 0.6556818181818181   precision 0.6316129032258064   recall 0.5594524380495604
deviation 3/5   iterations 1160/2000   F1 0.542608994907037   accuracy 0.6670454545454545   precision 0.6421812596006145   recall 0.5649183050543137
deviation 3/5   iterations 1170/2000   F1 0.5398259705488622   accuracy 0.6590909090909091   precision 0.6458986175115207   recall 0.5656552250443785
deviation 3/5   iterations 1180/2000   F1 0.5475254176557531   accuracy 0.6738636363636363   precision 0.64605222734255   recall 0.5672608941709112
deviation 3/5   iterations 1190/2000   F1 0.5661963574350161   accuracy 0.7056818181818182   precision 0.6517665130568356   recall 0.5740834053172089
deviation 3/5   iterations 1200/2000   F1 0.528499566585444   accuracy 0.6431818181818182   precision 0.6368663594470045   recall 0.5605960859417081
deviation 3/5   iterations 1210/2000   F1 0.5498511904761905   accuracy 0.675   precision 0.6508141321044547   recall 0.5693522228312773
deviation 3/5   iterations 1220/2000   F1 0.5552615736783822   accuracy 0.6909090909090909   precision 0.6433794162826421   recall 0.5683112898787464
deviation 3/5   iterations 1230/2000   F1 0.5713874941073604   accuracy 0.7170454545454545   precision 0.6499846390168971   recall 0.5753785913683638
deviation 3/5   iterations 1240/2000   F1 0.5916438864702507   accuracy 0.75   precision 0.6563440860215053   recall 0.5858288752015435
deviation 3/5   iterations 1250/2000   F1 0.5851154019353106   accuracy 0.7465909090909091   precision 0.6461751152073733   recall 0.5804782008605992
deviation 3/5   iterations 1260/2000   F1 0.5561558441558442   accuracy 0.696590909090909   precision 0.6383717357910906   recall 0.5670238095238095
deviation 3/5   iterations 1270/2000   F1 0.5781339050389791   accuracy 0.7352272727272727   precision 0.6438402457757297   recall 0.5766054085185476
deviation 3/5   iterations 1280/2000   F1 0.5544753296878824   accuracy 0.6920454545454545   precision 0.6399078341013824   recall 0.5670163170163169
deviation 3/5   iterations 1290/2000   F1 0.5872926820716013   accuracy 0.7568181818181818   precision 0.6396313364055299   recall 0.5804943361741015
deviation 3/5   iterations 1300/2000   F1 0.5701865780990525   accuracy 0.7272727272727273   precision 0.6352073732718894   recall 0.5710797139368569
deviation 3/5   iterations 1310/2000   F1 0.5863857062595232   accuracy 0.7556818181818182   precision 0.6389861751152074   recall 0.5798638571912778
deviation 3/5   iterations 1320/2000   F1 0.5872926820716013   accuracy 0.7568181818181818   precision 0.6396313364055299   recall 0.5804943361741015
deviation 3/5   iterations 1330/2000   F1 0.5677409653651446   accuracy 0.7215909090909091   precision 0.6360983102918587   recall 0.5703174603174603
deviation 3/5   iterations 1340/2000   F1 0.5454239191465469   accuracy 0.6863636363636364   precision 0.6243317972350231   recall 0.5596638655462185
deviation 3/5   iterations 1350/2000   F1 0.5635882741899934   accuracy 0.7136363636363636   precision 0.6356989247311828   recall 0.5686556121338731
deviation 3/5   iterations 1360/2000   F1 0.5736434108527132   accuracy 0.7318181818181818   precision 0.6377880184331797   recall 0.5731891200334206
deviation 3/5   iterations 1370/2000   F1 0.5748301648374218   accuracy 0.7193181818181819   precision 0.6553917050691245   recall 0.5780960498036019
deviation 3/5   iterations 1380/2000   F1 0.5827031092869817   accuracy 0.7363636363636363   precision 0.6527188940092166   recall 0.580698575964779
deviation 3/5   iterations 1390/2000   F1 0.5870292156206662   accuracy 0.7465909090909091   precision 0.6502918586789554   recall 0.5822704768055107
deviation 3/5   iterations 1400/2000   F1 0.5619007299041168   accuracy 0.7113636363636363   precision 0.6344086021505376   recall 0.5676997257967678
deviation 3/5   iterations 1410/2000   F1 0.5594480343132612   accuracy 0.7056818181818182   precision 0.635299539170507   recall 0.5671275973075798
deviation 3/5   iterations 1420/2000   F1 0.579773579869503   accuracy 0.7397727272727272   precision 0.6423041474654377   recall 0.5770274584929758
deviation 3/5   iterations 1430/2000   F1 0.5807787903893952   accuracy 0.7386363636363636   precision 0.6457757296466974   recall 0.5782615866732641
deviation 3/5   iterations 1440/2000   F1 0.6039015879202978   accuracy 0.7795454545454545   precision 0.6484178187403994   recall 0.5924777371955374
deviation 3/5   iterations 1450/2000   F1 0.5907123179850453   accuracy 0.7636363636363637   precision 0.6393855606758833   recall 0.5825323253123386
deviation 3/5   iterations 1460/2000   F1 0.5865941864266245   accuracy 0.7534090909090909   precision 0.6418125960061444   recall 0.5804607318161535
deviation 3/5   iterations 1470/2000   F1 0.5679052515129823   accuracy 0.7170454545454545   precision 0.6417511520737327   recall 0.5718799072758544
deviation 3/5   iterations 1480/2000   F1 0.5528379825207803   accuracy 0.6920454545454545   precision 0.6357910906298003   recall 0.5652826354097741
deviation 3/5   iterations 1490/2000   F1 0.5642123201844519   accuracy 0.7193181818181819   precision 0.6306912442396313   recall 0.5675238095238095
deviation 3/5   iterations 1500/2000   F1 0.5809725023208169   accuracy 0.7295454545454545   precision 0.6570814132104454   recall 0.5809639027356392
deviation 3/5   iterations 1510/2000   F1 0.5710477635623105   accuracy 0.7284090909090909   precision 0.6358525345622119   recall 0.5716015958962667
deviation 3/5   iterations 1520/2000   F1 0.562002750780781   accuracy 0.7022727272727273   precision 0.6457142857142857   recall 0.570989816261652
deviation 3/5   iterations 1530/2000   F1 0.5781339050389791   accuracy 0.7352272727272727   precision 0.6438402457757297   recall 0.5766054085185476
deviation 3/5   iterations 1540/2000   F1 0.5929909876575838   accuracy 0.7613636363636364   precision 0.6463287250384024   recall 0.5849086202839439
deviation 3/5   iterations 1550/2000   F1 0.5978860788868661   accuracy 0.7829545454545455   precision 0.6338863287250385   recall 0.5871906911232754
deviation 3/5   iterations 1560/2000   F1 0.5922928078925136   accuracy 0.7681818181818182   precision 0.6378494623655915   recall 0.5833698746200325
deviation 3/5   iterations 1570/2000   F1 0.5893195160460227   accuracy 0.7568181818181818   precision 0.6437480798771121   recall 0.5823355927669968
deviation 3/5   iterations 1580/2000   F1 0.6003750146490097   accuracy 0.7886363636363637   precision 0.6329953917050691   recall 0.5892658303021305
deviation 3/5   iterations 1590/2000   F1 0.6046283511205097   accuracy 0.7829545454545455   precision 0.646236559139785   recall 0.5929222888555722
deviation 3/5   iterations 1600/2000   F1 0.5887244953488223   accuracy 0.7511363636363636   precision 0.6487557603686636   recall 0.5828678222295244
deviation 3/5   iterations 1610/2000   F1 0.5688119774450711   accuracy 0.7136363636363636   precision 0.6480491551459293   recall 0.5739223807332413
deviation 3/5   iterations 1620/2000   F1 0.5840713993732116   accuracy 0.7477272727272727   precision 0.6427035330261137   recall 0.5792602603217506
deviation 3/5   iterations 1630/2000   F1 0.5856909613939305   accuracy 0.7522727272727273   precision 0.6411674347158218   recall 0.5798458341152838
deviation 3/5   iterations 1640/2000   F1 0.5842192298606189   accuracy 0.7454545454545455   precision 0.6455299539170507   recall 0.5798921952897842
deviation 3/5   iterations 1650/2000   F1 0.5865941864266245   accuracy 0.7534090909090909   precision 0.6418125960061444   recall 0.5804607318161535
deviation 3/5   iterations 1660/2000   F1 0.5818899610397463   accuracy 0.75   precision 0.6357603686635944   recall 0.5767875388368747
deviation 3/5   iterations 1670/2000   F1 0.5856909613939305   accuracy 0.7522727272727273   precision 0.6411674347158218   recall 0.5798458341152838
deviation 3/5   iterations 1680/2000   F1 0.5838921558513016   accuracy 0.75   precision 0.6398771121351767   recall 0.5786306896289695
deviation 3/5   iterations 1690/2000   F1 0.5991200419376475   accuracy 0.7738636363636363   precision 0.6451920122887864   recall 0.588778515824592
deviation 3/5   iterations 1700/2000   F1 0.6067549523562326   accuracy 0.8102272727272727   precision 0.6246697388632872   recall 0.5968071300431315
deviation 3/5   iterations 1710/2000   F1 0.599818099135971   accuracy 0.7772727272727272   precision 0.6430107526881721   recall 0.5891086455485877
deviation 3/5   iterations 1720/2000   F1 0.5888765294771968   accuracy 0.7613636363636364   precision 0.638095238095238   recall 0.5812104787714544
deviation 3/5   iterations 1730/2000   F1 0.594087299616086   accuracy 0.7784090909090909   precision 0.631305683563748   recall 0.58411001605844
deviation 3/5   iterations 1740/2000   F1 0.5867703028678639   accuracy 0.7511363636363636   precision 0.6446390168970815   recall 0.581060606060606
deviation 3/5   iterations 1750/2000   F1 0.5978860788868661   accuracy 0.7829545454545455   precision 0.6338863287250385   recall 0.5871906911232754
deviation 3/5   iterations 1760/2000   F1 0.5978017756247915   accuracy 0.7647727272727273   precision 0.6523809523809524   recall 0.58871336996337
deviation 3/5   iterations 1770/2000   F1 0.592187728458883   accuracy 0.7875   precision 0.62   recall 0.582388377037562
deviation 3/5   iterations 1780/2000   F1 0.5946218293841591   accuracy 0.7818181818181819   precision 0.6291244239631336   recall 0.5844443908672277
deviation 3/5   iterations 1790/2000   F1 0.5919903781709344   accuracy 0.7704545454545455   precision 0.6350230414746544   recall 0.5828676154490124
deviation 3/5   iterations 1800/2000   F1 0.5907123179850453   accuracy 0.7636363636363637   precision 0.6393855606758833   recall 0.5825323253123386
deviation 3/5   iterations 1810/2000   F1 0.579773579869503   accuracy 0.7397727272727272   precision 0.6423041474654377   recall 0.5770274584929758
deviation 3/5   iterations 1820/2000   F1 0.6000697766229951   accuracy 0.775   precision 0.6458371735791091   recall 0.5895045666749629
deviation 3/5   iterations 1830/2000   F1 0.613951423941205   accuracy 0.8068181818181818   precision 0.6392012288786483   recall 0.6018376172110294
deviation 3/5   iterations 1840/2000   F1 0.6014492753623188   accuracy 0.7818181818181819   precision 0.6414746543778802   recall 0.5902580144412823
deviation 3/5   iterations 1850/2000   F1 0.5856909613939305   accuracy 0.7522727272727273   precision 0.6411674347158218   recall 0.5798458341152838
deviation 3/5   iterations 1860/2000   F1 0.5849610678531701   accuracy 0.759090909090909   precision 0.6326881720430108   recall 0.5780307136404697
deviation 3/5   iterations 1870/2000   F1 0.6063787096889626   accuracy 0.8011363636363636   precision 0.6318586789554532   recall 0.5950028332625018
deviation 3/5   iterations 1880/2000   F1 0.5937184265287414   accuracy 0.7647727272727273   precision 0.644147465437788   recall 0.5850591715976332
deviation 3/5   iterations 1890/2000   F1 0.580750915312642   accuracy 0.7511363636363636   precision 0.6322887864823348   recall 0.5755311386152507
deviation 3/5   iterations 1900/2000   F1 0.6028712547902034   accuracy 0.7943181818181818   precision 0.6321044546850999   recall 0.5915485761002861
deviation 3/5   iterations 1910/2000   F1 0.5795785265963043   accuracy 0.7522727272727273   precision 0.6288172043010753   recall 0.5742602313702988
deviation 3/5   iterations 1920/2000   F1 0.5866819747416763   accuracy 0.775   precision 0.621136712749616   recall 0.5779131988080841
deviation 3/5   iterations 1930/2000   F1 0.564903748733536   accuracy 0.7227272727272728   precision 0.6285099846390169   recall 0.5672183834163587
deviation 3/5   iterations 1940/2000   F1 0.5830042647291107   accuracy 0.7647727272727273   precision 0.6235637480798771   recall 0.5755537855790328
deviation 3/5   iterations 1950/2000   F1 0.5748251748251748   accuracy 0.740909090909091   precision 0.6305990783410138   recall 0.5721119592875318
deviation 3/5   iterations 1960/2000   F1 0.5981735159817351   accuracy 0.7727272727272727   precision 0.6445468509984639   recall 0.5880591428036683
deviation 3/5   iterations 1970/2000   F1 0.5981735159817351   accuracy 0.7727272727272727   precision 0.6445468509984639   recall 0.5880591428036683
deviation 3/5   iterations 1980/2000   F1 0.5989663777155371   accuracy 0.7897727272727273   precision 0.6295238095238095   recall 0.5881153023006955
deviation 3/5   iterations 1990/2000   F1 0.5904424522845575   accuracy 0.7659090909090909   precision 0.6365591397849462   recall 0.5819995720157322
deviation 3/5   iterations 2000/2000   F1 0.5871452029087497   accuracy 0.7727272727272727   precision 0.623963133640553   recall 0.5784561539957224

deviation 4/5   iterations 10/2000   F1 0.47866004962779163   accuracy 0.5659090909090909   precision 0.6053456221198157   recall 0.5444228527011271
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deviation 4/5   iterations 20/2000   F1 0.4597085680745888   accuracy 0.5352272727272728   precision 0.5961597542242704   recall 0.5404259056436114
deviation 4/5   iterations 30/2000   F1 0.49947767189972603   accuracy 0.6034090909090909   precision 0.6101689708141321   recall 0.5473727040223204
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deviation 4/5   iterations 40/2000   F1 0.44565921076559367   accuracy 0.5079545454545454   precision 0.6012596006144393   recall 0.5429166666666667
deviation 4/5   iterations 50/2000   F1 0.5143812709030101   accuracy 0.625   precision 0.6224270353302612   recall 0.5534540576794098
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deviation 4/5   iterations 60/2000   F1 0.5072916666666667   accuracy 0.6090909090909091   precision 0.6257450076804916   recall 0.55403300330033
deviation 4/5   iterations 70/2000   F1 0.5209059233449478   accuracy 0.6363636363636364   precision 0.6247619047619049   recall 0.5551194140864646
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deviation 4/5   iterations 80/2000   F1 0.48333046742233765   accuracy 0.5693181818181818   precision 0.6155145929339478   recall 0.5486986074270557
deviation 4/5   iterations 90/2000   F1 0.5402985074626865   accuracy 0.6659090909090909   precision 0.6374193548387097   recall 0.5628318584070796
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deviation 4/5   iterations 100/2000   F1 0.5478275498243644   accuracy 0.6806818181818182   precision 0.6375729646697389   recall 0.5645483060033673
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deviation 4/5   iterations 110/2000   F1 0.5542641683322027   accuracy 0.6852272727272727   precision 0.6483870967741936   recall 0.5696222237597731
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deviation 4/5   iterations 120/2000   F1 0.5567647058823529   accuracy 0.6886363636363636   precision 0.6503225806451614   recall 0.5708822251195133
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deviation 4/5   iterations 130/2000   F1 0.564339344528741   accuracy 0.6988636363636364   precision 0.6561290322580645   recall 0.5747863247863247
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deviation 4/5   iterations 140/2000   F1 0.4727632504211025   accuracy 0.5420454545454545   precision 0.6329646697388633   recall 0.5559624296590533
deviation 4/5   iterations 150/2000   F1 0.545293586269196   accuracy 0.675   precision 0.6384639016897081   recall 0.564248039914469
deviation 4/5   iterations 160/2000   F1 0.5669815891472869   accuracy 0.7045454545454546   precision 0.6552380952380952   recall 0.575337400628582
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deviation 4/5   iterations 170/2000   F1 0.5215120796516145   accuracy 0.6238636363636364   precision 0.6464823348694317   recall 0.5632642663043478
deviation 4/5   iterations 180/2000   F1 0.5627382485904309   accuracy 0.6988636363636364   precision 0.6520122887864823   recall 0.5730811040741091
deviation 4/5   iterations 190/2000   F1 0.5268349002144154   accuracy 0.6295454545454545   precision 0.6538248847926267   recall 0.5665913020348451
deviation 4/5   iterations 200/2000   F1 0.5171829018903686   accuracy 0.6125   precision 0.6523809523809524   recall 0.5651041666666666
deviation 4/5   iterations 210/2000   F1 0.5662840620345221   accuracy 0.6931818181818182   precision 0.6693701996927803   recall 0.5793378962577496
deviation 4/5   iterations 220/2000   F1 0.5131467019718454   accuracy 0.6068181818181818   precision 0.6491551459293394   recall 0.5635474531280269
deviation 4/5   iterations 230/2000   F1 0.5371767436486821   accuracy 0.6534090909090909   precision 0.64678955453149   recall 0.56550086639907
deviation 4/5   iterations 240/2000   F1 0.523266626238124   accuracy 0.6193181818181818   precision 0.6603686635944701   recall 0.5686842105263158
deviation 4/5   iterations 250/2000   F1 0.5569848165897793   accuracy 0.6806818181818182   precision 0.662273425499232   recall 0.5747311827956989
deviation 4/5   iterations 260/2000   F1 0.5525929273528415   accuracy 0.6727272727272727   precision 0.6618740399385561   recall 0.5736062450058393
deviation 4/5   iterations 270/2000   F1 0.5407823453882545   accuracy 0.6545454545454545   precision 0.655668202764977   recall 0.5692247159696379
deviation 4/5   iterations 280/2000   F1 0.5540258039994088   accuracy 0.6727272727272727   precision 0.6659907834101382   recall 0.5752762777322655
deviation 4/5   iterations 290/2000   F1 0.5375091290073782   accuracy 0.65   precision 0.6530875576036866   recall 0.5677778442755401
deviation 4/5   iterations 300/2000   F1 0.564581499079538   accuracy 0.6909090909090909   precision 0.6680798771121352   recall 0.5784804824448154
deviation 4/5   iterations 310/2000   F1 0.5114753009389961   accuracy 0.6011363636363637   precision 0.654162826420891   recall 0.5653943993828061
deviation 4/5   iterations 320/2000   F1 0.5479381684023724   accuracy 0.6625   precision 0.6643010752688172   recall 0.5734873801776449
deviation 4/5   iterations 330/2000   F1 0.5548623044723507   accuracy 0.6738636363636363   precision 0.6666359447004608   recall 0.5756696428571428
deviation 4/5   iterations 340/2000   F1 0.557612361753863   accuracy 0.6795454545454546   precision 0.6657450076804916   recall 0.5759983321218678
deviation 4/5   iterations 350/2000   F1 0.5454545454545454   accuracy 0.6590909090909091   precision 0.6623655913978495   recall 0.5723675201971793
deviation 4/5   iterations 360/2000   F1 0.5565386676002695   accuracy 0.6761363636363636   precision 0.6679262672811059   recall 0.5764620962868462
deviation 4/5   iterations 370/2000   F1 0.5542615065280996   accuracy 0.675   precision 0.6631643625192012   recall 0.57439584022054
deviation 4/5   iterations 380/2000   F1 0.5402205258693807   accuracy 0.65   precision 0.661321044546851   recall 0.5711228497900582
deviation 4/5   iterations 390/2000   F1 0.5548623044723507   accuracy 0.6738636363636363   precision 0.6666359447004608   recall 0.5756696428571428
deviation 4/5   iterations 400/2000   F1 0.573502449580716   accuracy 0.7068181818181818   precision 0.668878648233487   recall 0.5813401518783553
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deviation 4/5   iterations 410/2000   F1 0.5738531545935309   accuracy 0.7136363636363636   precision 0.6603993855606759   recall 0.5790873672283521
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deviation 4/5   iterations 420/2000   F1 0.49594517190597653   accuracy 0.5761363636363637   precision 0.6482027649769586   recall 0.562375868917577
deviation 4/5   iterations 430/2000   F1 0.5748823866043359   accuracy 0.7045454545454546   precision 0.675821812596006   recall 0.5837680548480964
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deviation 4/5   iterations 440/2000   F1 0.5586641285180411   accuracy 0.6829545454545455   precision 0.6635637480798771   recall 0.5755494505494505
deviation 4/5   iterations 450/2000   F1 0.5482003720907568   accuracy 0.6647727272727273   precision 0.6614746543778802   recall 0.5725742311770944
deviation 4/5   iterations 460/2000   F1 0.5531884027936087   accuracy 0.6659090909090909   precision 0.6744700460829494   recall 0.5779435742872672
deviation 4/5   iterations 470/2000   F1 0.5119183648820241   accuracy 0.6034090909090909   precision 0.651336405529954   recall 0.5643134674437551
deviation 4/5   iterations 480/2000   F1 0.5739114724480578   accuracy 0.6954545454545454   precision 0.6871274961597542   recall 0.5868282252316465
deviation 4/5   iterations 490/2000   F1 0.5807381240122711   accuracy 0.7204545454545455   precision 0.6683870967741936   recall 0.5837197793133787
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deviation 4/5   iterations 500/2000   F1 0.5508493031358884   accuracy 0.6590909090909091   precision 0.6788325652841782   recall 0.5790076605263015
deviation 4/5   iterations 510/2000   F1 0.5576874915717891   accuracy 0.6738636363636363   precision 0.6748694316436252   recall 0.5789923616662226
deviation 4/5   iterations 520/2000   F1 0.5632910825457966   accuracy 0.6852272727272727   precision 0.6730875576036867   recall 0.5797113752122242
deviation 4/5   iterations 530/2000   F1 0.5576008352991222   accuracy 0.6897727272727273   precision 0.6509677419354838   recall 0.5713066796684544
deviation 4/5   iterations 540/2000   F1 0.5269211475332154   accuracy 0.6261363636363636   precision 0.6601228878648233   recall 0.5689505545677758
deviation 4/5   iterations 550/2000   F1 0.5342806488317324   accuracy 0.6363636363636364   precision 0.6659293394777266   recall 0.5719477170154152
deviation 4/5   iterations 560/2000   F1 0.5615956973810378   accuracy 0.6829545454545455   precision 0.6717972350230415   recall 0.5788867822318526
deviation 4/5   iterations 570/2000   F1 0.5700560926124836   accuracy 0.7022727272727273   precision 0.6662980030721966   recall 0.579513605302278
deviation 4/5   iterations 580/2000   F1 0.5333480079242792   accuracy 0.6386363636363637   precision 0.6589861751152073   recall 0.5692915789642817
deviation 4/5   iterations 590/2000   F1 0.5171829018903686   accuracy 0.6125   precision 0.6523809523809524   recall 0.5651041666666666
deviation 4/5   iterations 600/2000   F1 0.5573400451449233   accuracy 0.6852272727272727   precision 0.656620583717358   recall 0.5730138179151676
deviation 4/5   iterations 610/2000   F1 0.5531675837630723   accuracy 0.6795454545454546   precision 0.653394777265745   recall 0.5709591782208049
deviation 4/5   iterations 620/2000   F1 0.556979405034325   accuracy 0.7   precision 0.6361904761904762   recall 0.5666115702479338
deviation 4/5   iterations 630/2000   F1 0.5447346749160631   accuracy 0.6659090909090909   precision 0.6497695852534562   recall 0.5679200173875244
deviation 4/5   iterations 640/2000   F1 0.5366929568537648   accuracy 0.6488636363636363   precision 0.6524423963133641   recall 0.5674199439118242
deviation 4/5   iterations 650/2000   F1 0.5406416561481429   accuracy 0.6602272727272728   precision 0.6465437788018433   recall 0.566028437908352
deviation 4/5   iterations 660/2000   F1 0.5601173020527859   accuracy 0.6931818181818182   precision 0.6529032258064515   recall 0.5725937724257435
deviation 4/5   iterations 670/2000   F1 0.5369389668827708   accuracy 0.6454545454545455   precision 0.6587403993855607   recall 0.5697041317943654
deviation 4/5   iterations 680/2000   F1 0.5155670468752759   accuracy 0.6102272727272727   precision 0.6510906298003072   recall 0.5644784040611692
deviation 4/5   iterations 690/2000   F1 0.5521676478623505   accuracy 0.6761363636363636   precision 0.6555760368663595   recall 0.5714382448537378
deviation 4/5   iterations 700/2000   F1 0.564339344528741   accuracy 0.6988636363636364   precision 0.6561290322580645   recall 0.5747863247863247
deviation 4/5   iterations 710/2000   F1 0.5414582969050533   accuracy 0.6613636363636364   precision 0.6471889400921659   recall 0.5664033264033265
deviation 4/5   iterations 720/2000   F1 0.5395969151707674   accuracy 0.6670454545454545   precision 0.6339477726574501   recall 0.5615068616829181
deviation 4/5   iterations 730/2000   F1 0.535948178791523   accuracy 0.6556818181818181   precision 0.6398463901689708   recall 0.5628534817956875
deviation 4/5   iterations 740/2000   F1 0.562002750780781   accuracy 0.7022727272727273   precision 0.6457142857142857   recall 0.570989816261652
deviation 4/5   iterations 750/2000   F1 0.5395969151707674   accuracy 0.6670454545454545   precision 0.6339477726574501   recall 0.5615068616829181
deviation 4/5   iterations 760/2000   F1 0.5394868720053786   accuracy 0.6647727272727273   precision 0.636774193548387   recall 0.5624495017506059
deviation 4/5   iterations 770/2000   F1 0.5550963884553667   accuracy 0.6863636363636364   precision 0.6490322580645161   recall 0.5700400228702115
deviation 4/5   iterations 780/2000   F1 0.542670251392777   accuracy 0.6590909090909091   precision 0.6541321044546851   recall 0.5690214011743406
deviation 4/5   iterations 790/2000   F1 0.5394868720053786   accuracy 0.6647727272727273   precision 0.636774193548387   recall 0.5624495017506059
deviation 4/5   iterations 800/2000   F1 0.5419248568515178   accuracy 0.6681818181818182   precision 0.6387096774193548   recall 0.5636019405987457
deviation 4/5   iterations 810/2000   F1 0.5577108548297268   accuracy 0.7056818181818182   precision 0.6311827956989247   recall 0.5653608777644437
deviation 4/5   iterations 820/2000   F1 0.58891856506939   accuracy 0.7465909090909091   precision 0.6544086021505376   recall 0.5840468227424749
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deviation 4/5   iterations 830/2000   F1 0.5713368286480607   accuracy 0.7215909090909091   precision 0.6443317972350231   recall 0.5738660662624839
deviation 4/5   iterations 840/2000   F1 0.5378666114992282   accuracy 0.6625   precision 0.635483870967742   recall 0.5616900557308803
deviation 4/5   iterations 850/2000   F1 0.48096543886953735   accuracy 0.5659090909090909   precision 0.6135791090629801   recall 0.547849181244467
deviation 4/5   iterations 860/2000   F1 0.5117839262972587   accuracy 0.6193181818181818   precision 0.6233179723502305   recall 0.5535154333496876
deviation 4/5   iterations 870/2000   F1 0.5339294620957747   accuracy 0.6488636363636363   precision 0.6442089093701997   recall 0.5640570754819973
deviation 4/5   iterations 880/2000   F1 0.5721993321591661   accuracy 0.7227272727272728   precision 0.6449769585253455   recall 0.5743707093821511
deviation 4/5   iterations 890/2000   F1 0.5576946260490564   accuracy 0.6920454545454545   precision 0.6481413210445468   recall 0.5704558737580363
deviation 4/5   iterations 900/2000   F1 0.5527719820887027   accuracy 0.6875   precision 0.6414439324116743   recall 0.567037088808126
deviation 4/5   iterations 910/2000   F1 0.5670889189521584   accuracy 0.7090909090909091   precision 0.6495852534562212   recall 0.5737552942031883
deviation 4/5   iterations 920/2000   F1 0.5556673585988103   accuracy 0.6829545454545455   precision 0.6553302611367128   recall 0.5721856725146199
deviation 4/5   iterations 930/2000   F1 0.5285305834487075   accuracy 0.6556818181818181   precision 0.61926267281106   recall 0.5543040354528973
deviation 4/5   iterations 940/2000   F1 0.5662398033038561   accuracy 0.7125   precision 0.6432872503840246   recall 0.5716991341991342
deviation 4/5   iterations 950/2000   F1 0.5503421309872922   accuracy 0.6863636363636364   precision 0.6366820276497696   recall 0.5648924439465808
deviation 4/5   iterations 960/2000   F1 0.51949000416351   accuracy 0.6363636363636364   precision 0.6206451612903225   recall 0.553414327607876
deviation 4/5   iterations 970/2000   F1 0.5290225271249939   accuracy 0.65   precision 0.6283870967741936   recall 0.5576321581650384
deviation 4/5   iterations 980/2000   F1 0.5095865397156646   accuracy 0.6261363636363636   precision 0.606605222734255   recall 0.5469517871446818
deviation 4/5   iterations 990/2000   F1 0.5640560580234107   accuracy 0.7215909090909091   precision 0.6278648233486943   recall 0.5667141135133749
deviation 4/5   iterations 1000/2000   F1 0.5446367572126496   accuracy 0.6806818181818182   precision 0.6293394777265745   recall 0.5610909892967426
deviation 4/5   iterations 1010/2000   F1 0.5635882741899934   accuracy 0.7136363636363636   precision 0.6356989247311828   recall 0.5686556121338731
deviation 4/5   iterations 1020/2000   F1 0.586013986013986   accuracy 0.7477272727272727   precision 0.6468202764976958   recall 0.5810687022900763
deviation 4/5   iterations 1030/2000   F1 0.5798949737434359   accuracy 0.7375   precision 0.6451305683563748   recall 0.577705547952416
deviation 4/5   iterations 1040/2000   F1 0.5762577007888336   accuracy 0.7352272727272727   precision 0.6397235023041474   recall 0.5748105063690915
deviation 4/5   iterations 1050/2000   F1 0.5677409653651446   accuracy 0.7215909090909091   precision 0.6360983102918587   recall 0.5703174603174603
deviation 4/5   iterations 1060/2000   F1 0.5720364741641337   accuracy 0.7272727272727273   precision 0.6393241167434716   recall 0.5728748192190262
deviation 4/5   iterations 1070/2000   F1 0.5747322361942659   accuracy 0.7284090909090909   precision 0.6440860215053763   recall 0.5751776050883537
deviation 4/5   iterations 1080/2000   F1 0.563694958321713   accuracy 0.7090909090909091   precision 0.6413517665130568   recall 0.570278180007454
deviation 4/5   iterations 1090/2000   F1 0.5503640052512233   accuracy 0.6886363636363636   precision 0.6338556067588326   recall 0.5640016217073759
deviation 4/5   iterations 1100/2000   F1 0.5536460198114334   accuracy 0.6909090909090909   precision 0.63926267281106   recall 0.5665869523065262
deviation 4/5   iterations 1110/2000   F1 0.5379788175034127   accuracy 0.6647727272727273   precision 0.632657450076805   recall 0.5607402489252999
deviation 4/5   iterations 1120/2000   F1 0.5586592603287259   accuracy 0.7   precision 0.6403072196620584   recall 0.5683555747136759
deviation 4/5   iterations 1130/2000   F1 0.5561468522018503   accuracy 0.6988636363636364   precision 0.6355453149001536   recall 0.566165178999904
deviation 4/5   iterations 1140/2000   F1 0.5363647491037202   accuracy 0.6625   precision 0.6313671274961598   recall 0.5599806984468982
deviation 4/5   iterations 1150/2000   F1 0.5277874463394825   accuracy 0.6636363636363637   precision 0.6073118279569892   recall 0.5499482357247857
deviation 4/5   iterations 1160/2000   F1 0.5285751383312358   accuracy 0.6647727272727273   precision 0.6079569892473118   recall 0.5503276885354843
deviation 4/5   iterations 1170/2000   F1 0.5446092405704452   accuracy 0.678409090909091   precision 0.6321658986175115   recall 0.5620113471251643
deviation 4/5   iterations 1180/2000   F1 0.5363375390713625   accuracy 0.6806818181818182   precision 0.6087557603686635   recall 0.5522851876358824
deviation 4/5   iterations 1190/2000   F1 0.5744859365305767   accuracy 0.7511363636363636   precision 0.6199385560675883   recall 0.5698260073260073
deviation 4/5   iterations 1200/2000   F1 0.5882956785581265   accuracy 0.7659090909090909   precision 0.6324423963133641   recall 0.5800997391323736
deviation 4/5   iterations 1210/2000   F1 0.5771333885666943   accuracy 0.7363636363636363   precision 0.6403686635944701   recall 0.5753587333003464
deviation 4/5   iterations 1220/2000   F1 0.5469961240310077   accuracy 0.6909090909090909   precision 0.6227956989247312   recall 0.559593031924093
deviation 4/5   iterations 1230/2000   F1 0.5373593224271958   accuracy 0.6704545454545454   precision 0.6235330261136713   recall 0.55749838415384
deviation 4/5   iterations 1240/2000   F1 0.5285305834487075   accuracy 0.6556818181818181   precision 0.61926267281106   recall 0.5543040354528973
deviation 4/5   iterations 1250/2000   F1 0.5373696661701568   accuracy 0.6727272727272727   precision 0.6207066052227344   recall 0.556542462252258
deviation 4/5   iterations 1260/2000   F1 0.5939158024424225   accuracy 0.7625   precision 0.6469738863287251   recall 0.5855654761904762
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deviation 4/5   iterations 1270/2000   F1 0.5858681794457136   accuracy 0.75   precision 0.6439938556067588   recall 0.5804557845082704
deviation 4/5   iterations 1280/2000   F1 0.5490951314976845   accuracy 0.7011363636363637   precision 0.6162519201228879   recall 0.5581709956709957
deviation 4/5   iterations 1290/2000   F1 0.5569425654900997   accuracy 0.7022727272727273   precision 0.6333640552995392   recall 0.5657571846654427
deviation 4/5   iterations 1300/2000   F1 0.5745127368418887   accuracy 0.7329545454545454   precision 0.6384331797235023   recall 0.5737257519830362
deviation 4/5   iterations 1310/2000   F1 0.5511489577941224   accuracy 0.6943181818181818   precision 0.628847926267281   recall 0.5626508759769593
deviation 4/5   iterations 1320/2000   F1 0.5660359653483631   accuracy 0.7193181818181819   precision 0.6348079877112136   recall 0.5693180669295319
deviation 4/5   iterations 1330/2000   F1 0.5553157698766708   accuracy 0.6977272727272728   precision 0.6349001536098311   recall 0.5657213331656998
deviation 4/5   iterations 1340/2000   F1 0.5462624277386521   accuracy 0.7102272727272727   precision 0.6008294930875576   recall 0.5526082942217435
deviation 4/5   iterations 1350/2000   F1 0.5700302194192617   accuracy 0.7295454545454545   precision 0.6323809523809524   recall 0.5703170386229676
deviation 4/5   iterations 1360/2000   F1 0.5855557433384034   accuracy 0.7625   precision 0.6305069124423963   recall 0.5780882352941177
deviation 4/5   iterations 1370/2000   F1 0.5696227929373996   accuracy 0.7340909090909091   precision 0.6267281105990783   recall 0.5687871450583315
deviation 4/5   iterations 1380/2000   F1 0.5653358768224553   accuracy 0.7363636363636363   precision 0.6156682027649769   recall 0.5642443229518602
deviation 4/5   iterations 1390/2000   F1 0.5988445186614074   accuracy 0.7840909090909091   precision 0.6345314900153609   recall 0.5879804871776326
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deviation 4/5   iterations 1400/2000   F1 0.6102706565610814   accuracy 0.8   precision 0.639447004608295   recall 0.5980269352706917
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deviation 4/5   iterations 1410/2000   F1 0.6056565656565657   accuracy 0.7920454545454545   precision 0.6390476190476191   recall 0.593744821872411
deviation 4/5   iterations 1420/2000   F1 0.5962899372269007   accuracy 0.7704545454545455   precision 0.6432565284178187   recall 0.5866400101076915
deviation 4/5   iterations 1430/2000   F1 0.5778051099538551   accuracy 0.75   precision 0.62752688172043   recall 0.5730444636836511
deviation 4/5   iterations 1440/2000   F1 0.5476533922010854   accuracy 0.7068181818181818   precision 0.6071274961597541   recall 0.5549545801262048
deviation 4/5   iterations 1450/2000   F1 0.5838921558513016   accuracy 0.75   precision 0.6398771121351767   recall 0.5786306896289695
deviation 4/5   iterations 1460/2000   F1 0.5627897733399013   accuracy 0.7329545454545454   precision 0.6137327188940092   recall 0.5626167086141105
deviation 4/5   iterations 1470/2000   F1 0.5988662000347081   accuracy 0.7761363636363636   precision 0.6423655913978494   recall 0.588367658276125
deviation 4/5   iterations 1480/2000   F1 0.5597433358451711   accuracy 0.7261363636363637   precision 0.613978494623656   recall 0.5613572014500807
deviation 4/5   iterations 1490/2000   F1 0.541434960139996   accuracy 0.6954545454545454   precision 0.6047926267281106   recall 0.5523239760699494
deviation 4/5   iterations 1500/2000   F1 0.565093180912979   accuracy 0.7306818181818182   precision 0.6206758832565284   recall 0.5653203490847168
deviation 4/5   iterations 1510/2000   F1 0.5511445690582271   accuracy 0.7170454545454545   precision 0.604700460829493   recall 0.55546875
deviation 4/5   iterations 1520/2000   F1 0.5662404457142602   accuracy 0.7488636363636364   precision 0.6062980030721966   recall 0.5627247940596357
deviation 4/5   iterations 1530/2000   F1 0.54566619713645   accuracy 0.6988636363636364   precision 0.6108448540706606   recall 0.5554653679653679
deviation 4/5   iterations 1540/2000   F1 0.537637634003886   accuracy 0.6875   precision 0.6043932411674346   recall 0.5511611380116114
deviation 4/5   iterations 1550/2000   F1 0.5667975909924065   accuracy 0.7329545454545454   precision 0.6219662058371735   recall 0.5663879598662207
deviation 4/5   iterations 1560/2000   F1 0.5803014198893522   accuracy 0.7613636363636364   precision 0.6216282642089094   recall 0.5735594681570557
deviation 4/5   iterations 1570/2000   F1 0.5656575883365395   accuracy 0.7340909090909091   precision 0.6184946236559139   recall 0.5650504955103859
deviation 4/5   iterations 1580/2000   F1 0.5357527531708175   accuracy 0.6727272727272727   precision 0.616589861751152   recall 0.5547932151705737
deviation 4/5   iterations 1590/2000   F1 0.5531975188135647   accuracy 0.7068181818181818   precision 0.6194777265745008   recall 0.5604486474051691
deviation 4/5   iterations 1600/2000   F1 0.5653358768224553   accuracy 0.7363636363636363   precision 0.6156682027649769   recall 0.5642443229518602
deviation 4/5   iterations 1610/2000   F1 0.5617086089704244   accuracy 0.7261363636363637   precision 0.618095238095238   recall 0.5632303400357932
deviation 4/5   iterations 1620/2000   F1 0.5913368415227178   accuracy 0.7806818181818181   precision 0.6243625192012289   recall 0.5816761363636364
deviation 4/5   iterations 1630/2000   F1 0.5681257681109214   accuracy 0.7295454545454545   precision 0.6282642089093702   recall 0.568491577586603
deviation 4/5   iterations 1640/2000   F1 0.5855557433384034   accuracy 0.7625   precision 0.6305069124423963   recall 0.5780882352941177
deviation 4/5   iterations 1650/2000   F1 0.5834841439986636   accuracy 0.7681818181818182   precision 0.6213824884792627   recall 0.5756322789607884
deviation 4/5   iterations 1660/2000   F1 0.5770967862341831   accuracy 0.7659090909090909   precision 0.6118586789554532   recall 0.5702402172990408
deviation 4/5   iterations 1670/2000   F1 0.5965493570315152   accuracy 0.7897727272727273   precision 0.6254070660522273   recall 0.5861007053423779
deviation 4/5   iterations 1680/2000   F1 0.5955716929059021   accuracy 0.7829545454545455   precision 0.6297695852534562   recall 0.5852272727272727
deviation 4/5   iterations 1690/2000   F1 0.5864661654135339   accuracy 0.7636363636363637   precision 0.6311520737327189   recall 0.5787527948110597
deviation 4/5   iterations 1700/2000   F1 0.6007722007722007   accuracy 0.7863636363636364   precision 0.6358218125960061   recall 0.5895845997973658
deviation 4/5   iterations 1710/2000   F1 0.5810456062291434   accuracy 0.7568181818181818   precision 0.6272811059907833   recall 0.5748509485094851
deviation 4/5   iterations 1720/2000   F1 0.5573990248131804   accuracy 0.7284090909090909   precision 0.6070353302611368   recall 0.5585916478312345
deviation 4/5   iterations 1730/2000   F1 0.5858675748674611   accuracy 0.7602272727272728   precision 0.6333333333333333   recall 0.578677920872491
deviation 4/5   iterations 1740/2000   F1 0.5866819747416763   accuracy 0.775   precision 0.621136712749616   recall 0.5779131988080841
deviation 4/5   iterations 1750/2000   F1 0.59085690428974   accuracy 0.7772727272727272   precision 0.6265437788018433   recall 0.581390937329571
deviation 4/5   iterations 1760/2000   F1 0.621956589447004   accuracy 0.8181818181818182   precision 0.6415360983102918   recall 0.6105336903425177
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deviation 4/5   iterations 1770/2000   F1 0.632332678477772   accuracy 0.8397727272727272   precision 0.6373271889400922   recall 0.6279716916311667
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deviation 4/5   iterations 1780/2000   F1 0.599818099135971   accuracy 0.7772727272727272   precision 0.6430107526881721   recall 0.5891086455485877
deviation 4/5   iterations 1790/2000   F1 0.6209230769230769   accuracy 0.8090909090909091   precision 0.6487250384024578   recall 0.6076974416017797
deviation 4/5   iterations 1800/2000   F1 0.5940949289292135   accuracy 0.7897727272727273   precision 0.6212903225806452   recall 0.5840543670799836
deviation 4/5   iterations 1810/2000   F1 0.6066449882602588   accuracy 0.7931818181818182   precision 0.6396927803379416   recall 0.5946038166096589
deviation 4/5   iterations 1820/2000   F1 0.5893195160460227   accuracy 0.7568181818181818   precision 0.6437480798771121   recall 0.5823355927669968
deviation 4/5   iterations 1830/2000   F1 0.5917809289425368   accuracy 0.7840909090909091   precision 0.6221812596006144   recall 0.5820074398502132
deviation 4/5   iterations 1840/2000   F1 0.6062639821029083   accuracy 0.7954545454545454   precision 0.6368663594470046   recall 0.5944055944055944
deviation 4/5   iterations 1850/2000   F1 0.5825426944971537   accuracy 0.7818181818181819   precision 0.6085407066052227   recall 0.5741784313560816
deviation 4/5   iterations 1860/2000   F1 0.5785547785547785   accuracy 0.7431818181818182   precision 0.6360061443932412   recall 0.57509754028838
deviation 4/5   iterations 1870/2000   F1 0.5813551587879494   accuracy 0.7772727272727272   precision 0.6100768049155146   recall 0.5732354408025443
deviation 4/5   iterations 1880/2000   F1 0.5862252882597742   accuracy 0.7715909090909091   precision 0.6233179723502305   recall 0.577740076229432
deviation 4/5   iterations 1890/2000   F1 0.5717918820407827   accuracy 0.759090909090909   precision 0.6079877112135177   recall 0.5662752373841362
deviation 4/5   iterations 1900/2000   F1 0.5977393617021276   accuracy 0.8   precision 0.6188632872503841   recall 0.5878687124701352
deviation 4/5   iterations 1910/2000   F1 0.571233677645683   accuracy 0.7613636363636364   precision 0.6051612903225807   recall 0.5655250040199389
deviation 4/5   iterations 1920/2000   F1 0.5797882475259868   accuracy 0.7693181818181818   precision 0.613794162826421   recall 0.5723075962018991
deviation 4/5   iterations 1930/2000   F1 0.5862252882597742   accuracy 0.7715909090909091   precision 0.6233179723502305   recall 0.577740076229432
deviation 4/5   iterations 1940/2000   F1 0.5960173694469322   accuracy 0.7920454545454545   precision 0.6225806451612903   recall 0.585757763334365
deviation 4/5   iterations 1950/2000   F1 0.5825765025741887   accuracy 0.7670454545454546   precision 0.62073732718894   recall 0.5749427917620137
deviation 4/5   iterations 1960/2000   F1 0.5936772406204871   accuracy 0.7863636363636364   precision 0.6234715821812595   recall 0.5836183723233382
deviation 4/5   iterations 1970/2000   F1 0.5957844321266734   accuracy 0.7977272727272727   precision 0.6175729646697389   recall 0.5860146901493288
deviation 4/5   iterations 1980/2000   F1 0.5902860126710893   accuracy 0.7943181818181818   precision 0.6115207373271889   recall 0.5811688311688311
deviation 4/5   iterations 1990/2000   F1 0.5983288762874419   accuracy 0.8068181818181818   precision 0.6145007680491551   recall 0.589420243956276
deviation 4/5   iterations 2000/2000   F1 0.6030881336473014   accuracy 0.825   precision 0.6083563748079878   recall 0.5987722776713602

deviation 5/5   iterations 10/2000   F1 0.4260070814952403   accuracy 0.4880546075085324   precision 0.568151364764268   recall 0.5287594634498791
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deviation 5/5   iterations 20/2000   F1 0.4272126376323726   accuracy 0.4926052332195677   precision 0.5624069478908189   recall 0.5262419265643423
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deviation 5/5   iterations 30/2000   F1 0.46064056671432185   accuracy 0.5551763367463026   precision 0.564590570719603   recall 0.5270999042185482
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deviation 5/5   iterations 40/2000   F1 0.4540005140633032   accuracy 0.5381114903299203   precision 0.5715632754342432   recall 0.5298751748070648
deviation 5/5   iterations 50/2000   F1 0.44781617078639735   accuracy 0.5164960182025028   precision 0.592605459057072   recall 0.5387720118435406
deviation 5/5   iterations 60/2000   F1 0.5163924272014457   accuracy 0.6564277588168373   precision 0.5887096774193548   recall 0.5410320566529319
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deviation 5/5   iterations 70/2000   F1 0.49352557207238823   accuracy 0.5984072810011376   precision 0.6015942928039701   recall 0.5433253968253968
deviation 5/5   iterations 80/2000   F1 0.39467460491659345   accuracy 0.42889647326507396   precision 0.59287841191067   recall 0.542256065207329
deviation 5/5   iterations 90/2000   F1 0.5314739554280554   accuracy 0.6575654152445961   precision 0.626817617866005   recall 0.5572184281236006
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deviation 5/5   iterations 100/2000   F1 0.5336624270957768   accuracy 0.6564277588168373   precision 0.6344975186104218   recall 0.5602852852852853
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deviation 5/5   iterations 110/2000   F1 0.5251070336391437   accuracy 0.6382252559726962   precision 0.6366625310173697   recall 0.559728442993634
deviation 5/5   iterations 120/2000   F1 0.5012195274879615   accuracy 0.5881683731513083   precision 0.6457382133995038   recall 0.561126202073186
deviation 5/5   iterations 130/2000   F1 0.4857456273995977   accuracy 0.5631399317406144   precision 0.6398697270471464   recall 0.5583725987676694
deviation 5/5   iterations 140/2000   F1 0.5398575387553791   accuracy 0.6439135381114903   precision 0.6731885856079405   recall 0.574905824398725
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deviation 5/5   iterations 150/2000   F1 0.5749325236167342   accuracy 0.7064846416382252   precision 0.6753722084367246   recall 0.583344143209236
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deviation 5/5   iterations 160/2000   F1 0.5555394472575033   accuracy 0.6746302616609784   precision 0.6697952853598015   recall 0.5765065966010734
deviation 5/5   iterations 170/2000   F1 0.521836560711241   accuracy 0.6188850967007964   precision 0.6589950372208437   recall 0.5676253298153034
deviation 5/5   iterations 180/2000   F1 0.5618868273338395   accuracy 0.6871444823663254   precision 0.6685669975186104   recall 0.577606100416976
deviation 5/5   iterations 190/2000   F1 0.5843738479539662   accuracy 0.7315130830489193   precision 0.6645905707196029   recall 0.5839598997493735
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deviation 5/5   iterations 200/2000   F1 0.5617556787643914   accuracy 0.6791808873720137   precision 0.6807009925558313   recall 0.5814205053667263
deviation 5/5   iterations 210/2000   F1 0.5328133512270958   accuracy 0.6359499431171786   precision 0.6645099255583127   recall 0.5708480716415358
deviation 5/5   iterations 220/2000   F1 0.46163604543067344   accuracy 0.5210466439135382   precision 0.6409739454094293   recall 0.5594061735366084
deviation 5/5   iterations 230/2000   F1 0.48890396356236066   accuracy 0.5631399317406144   precision 0.6523573200992556   recall 0.5635742389728723
deviation 5/5   iterations 240/2000   F1 0.5591396308609423   accuracy 0.6814562002275313   precision 0.6695037220843673   recall 0.5772283272283272
deviation 5/5   iterations 250/2000   F1 0.5731989721217916   accuracy 0.7042093287827076   precision 0.6740818858560793   recall 0.5824344331641286
deviation 5/5   iterations 260/2000   F1 0.5620328849028401   accuracy 0.6814562002275313   precision 0.6778287841191067   recall 0.5805641117881152
deviation 5/5   iterations 270/2000   F1 0.5140376862331983   accuracy 0.602957906712173   precision 0.6624503722084367   recall 0.5683662280701754
deviation 5/5   iterations 280/2000   F1 0.5557186868200635   accuracy 0.6655290102389079   precision 0.6854466501240695   recall 0.5817410230889543
deviation 5/5   iterations 290/2000   F1 0.552352209340479   accuracy 0.6609783845278726   precision 0.6828660049627792   recall 0.5802541736090692
deviation 5/5   iterations 300/2000   F1 0.5634560263359537   accuracy 0.6814562002275313   precision 0.6819913151364765   recall 0.5822234554199038
deviation 5/5   iterations 310/2000   F1 0.5549382902481359   accuracy 0.6757679180887372   precision 0.6662779156327543   recall 0.5752270507538422
deviation 5/5   iterations 320/2000   F1 0.5734299030335217   accuracy 0.6985210466439136   precision 0.6833436724565757   recall 0.585212201591512
deviation 5/5   iterations 330/2000   F1 0.5210055666560038   accuracy 0.6143344709897611   precision 0.6647394540942928   recall 0.5697359299174387
deviation 5/5   iterations 340/2000   F1 0.5086732896498274   accuracy 0.5938566552901023   precision 0.6614516129032257   recall 0.5676949487592988
deviation 5/5   iterations 350/2000   F1 0.5769058407608425   accuracy 0.7030716723549488   precision 0.685924317617866   recall 0.5869833991177154
deviation 5/5   iterations 360/2000   F1 0.5804062148834013   accuracy 0.7076222980659841   precision 0.6885049627791563   recall 0.5887947962690231
deviation 5/5   iterations 370/2000   F1 0.5951567986909636   accuracy 0.7303754266211604   precision 0.6930831265508686   recall 0.5952394066240728
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deviation 5/5   iterations 380/2000   F1 0.5248609136042711   accuracy 0.6302616609783845   precision 0.6487965260545906   recall 0.5641343757687248
deviation 5/5   iterations 390/2000   F1 0.5161623639992274   accuracy 0.6109215017064846   precision 0.6544789081885856   recall 0.5654289587909489
deviation 5/5   iterations 400/2000   F1 0.5328814340125534   accuracy 0.6325369738339022   precision 0.6708995037220844   recall 0.573194643711143
deviation 5/5   iterations 410/2000   F1 0.5315248094654375   accuracy 0.6359499431171786   precision 0.6603473945409429   recall 0.5691714836223507
deviation 5/5   iterations 420/2000   F1 0.5688627937506311   accuracy 0.6905574516496018   precision 0.6829900744416874   recall 0.5838640343894285
deviation 5/5   iterations 430/2000   F1 0.5589045483664318   accuracy 0.6791808873720137   precision 0.6723759305210918   recall 0.5780937338399622
deviation 5/5   iterations 440/2000   F1 0.5976873368080409   accuracy 0.7417519908987485   precision 0.6828846153846153   recall 0.593966341556703
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deviation 5/5   iterations 450/2000   F1 0.5788887956826888   accuracy 0.7076222980659841   precision 0.6843424317617866   recall 0.5871385842472582
deviation 5/5   iterations 460/2000   F1 0.5766724358491986   accuracy 0.7087599544937428   precision 0.6766625310173697   recall 0.5842644099893478
deviation 5/5   iterations 470/2000   F1 0.5657183839349749   accuracy 0.6825938566552902   precision 0.6867990074441688   recall 0.584281236005374
deviation 5/5   iterations 480/2000   F1 0.5827882347706136   accuracy 0.7087599544937428   precision 0.6933126550868487   recall 0.590902195981424
deviation 5/5   iterations 490/2000   F1 0.5242762128325509   accuracy 0.6222980659840728   precision 0.6609305210918115   recall 0.5685831817605008
deviation 5/5   iterations 500/2000   F1 0.5627342047930284   accuracy 0.6882821387940842   precision 0.669212158808933   recall 0.5780234553775744
deviation 5/5   iterations 510/2000   F1 0.5552807251774295   accuracy 0.6723549488054608   precision 0.672667493796526   recall 0.5773940607273941
deviation 5/5   iterations 520/2000   F1 0.5403087192879603   accuracy 0.6427758816837316   precision 0.6767059553349876   recall 0.576228323699422
deviation 5/5   iterations 530/2000   F1 0.5570204672183116   accuracy 0.6825938566552902   precision 0.6618238213399503   recall 0.5742750734607412
deviation 5/5   iterations 540/2000   F1 0.5725005210866394   accuracy 0.7053469852104665   precision 0.6705645161290323   recall 0.5812068048910154
deviation 5/5   iterations 550/2000   F1 0.5771045663084644   accuracy 0.7155858930602957   precision 0.668045905707196   recall 0.5820361711406145
deviation 5/5   iterations 560/2000   F1 0.5726430888848951   accuracy 0.7076222980659841   precision 0.6676923076923077   recall 0.5804341875052071
deviation 5/5   iterations 570/2000   F1 0.5915031359110307   accuracy 0.7383390216154722   precision 0.6726240694789082   recall 0.5889109708092634
deviation 5/5   iterations 580/2000   F1 0.5204278427690512   accuracy 0.608646188850967   precision 0.6740012406947891   recall 0.573258705168253
deviation 5/5   iterations 590/2000   F1 0.5287787656903764   accuracy 0.626848691695108   precision 0.6676736972704714   recall 0.5715545083920156
deviation 5/5   iterations 600/2000   F1 0.6045900880830791   accuracy 0.7610921501706485   precision 0.6730397022332506   recall 0.5956230202805546
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deviation 5/5   iterations 610/2000   F1 0.5852130749978597   accuracy 0.7303754266211604   precision 0.6681079404466501   recall 0.5851527149321267
deviation 5/5   iterations 620/2000   F1 0.5242714995872222   accuracy 0.6188850967007964   precision 0.6673200992555831   recall 0.5709909037311547
deviation 5/5   iterations 630/2000   F1 0.5217753247945044   accuracy 0.6222980659840728   precision 0.652605459057072   recall 0.5652160081440478
deviation 5/5   iterations 640/2000   F1 0.5370005963029219   accuracy 0.6382252559726962   precision 0.6741253101736973   recall 0.5748666382161528
deviation 5/5   iterations 650/2000   F1 0.5761126264445703   accuracy 0.7121729237770194   precision 0.670272952853598   recall 0.5823008743418449
deviation 5/5   iterations 660/2000   F1 0.5676356137231469   accuracy 0.6928327645051194   precision 0.6759553349875931   recall 0.5813869409023609
deviation 5/5   iterations 670/2000   F1 0.5521923968800506   accuracy 0.6700796359499431   precision 0.6672146401985112   recall 0.57494994994995
deviation 5/5   iterations 680/2000   F1 0.5582969865718164   accuracy 0.6803185437997725   precision 0.6688585607940447   recall 0.5768240779417243
deviation 5/5   iterations 690/2000   F1 0.5631377333608447   accuracy 0.6848691695108078   precision 0.6756017369727048   recall 0.5801226167293148
deviation 5/5   iterations 700/2000   F1 0.5851358156343494   accuracy 0.7281001137656428   precision 0.6709801488833746   recall 0.5858201519491842
deviation 5/5   iterations 710/2000   F1 0.5753992563624687   accuracy 0.7030716723549488   precision 0.6817617866004964   recall 0.5853242320819112
deviation 5/5   iterations 720/2000   F1 0.5762325766320873   accuracy 0.714448236632537   precision 0.6674007444168735   recall 0.5815562325463316
deviation 5/5   iterations 730/2000   F1 0.5753623188405798   accuracy 0.7133105802047781   precision 0.6667555831265508   recall 0.5810792061289739
deviation 5/5   iterations 740/2000   F1 0.5836987243144145   accuracy 0.7178612059158134   precision 0.6818238213399503   recall 0.5880560963299445
deviation 5/5   iterations 750/2000   F1 0.5610407469059854   accuracy 0.6860068259385665   precision 0.6679218362282879   recall 0.5771909112685214
deviation 5/5   iterations 760/2000   F1 0.5477682291170444   accuracy 0.6621160409556314   precision 0.6668610421836229   recall 0.5739695739695739
deviation 5/5   iterations 770/2000   F1 0.5753992563624687   accuracy 0.7030716723549488   precision 0.6817617866004964   recall 0.5853242320819112
deviation 5/5   iterations 780/2000   F1 0.5888604089880072   accuracy 0.7440273037542662   precision 0.6591997518610422   recall 0.5847859125148671
deviation 5/5   iterations 790/2000   F1 0.5919677919677919   accuracy 0.7599544937428896   precision 0.6474193548387097   recall 0.5843005931265431
deviation 5/5   iterations 800/2000   F1 0.566059961459066   accuracy 0.7053469852104665   precision 0.6539143920595534   recall 0.5743940175348118
deviation 5/5   iterations 810/2000   F1 0.5470396047493824   accuracy 0.6689419795221843   precision 0.6540818858560794   recall 0.5695197044334975
deviation 5/5   iterations 820/2000   F1 0.5576195937488891   accuracy 0.6939704209328783   precision 0.6474627791563276   recall 0.5699542094359168
deviation 5/5   iterations 830/2000   F1 0.5773366714353839   accuracy 0.7246871444823664   precision 0.6565570719602978   recall 0.579118805176565
deviation 5/5   iterations 840/2000   F1 0.5934185746853008   accuracy 0.745164960182025   precision 0.6681699751861042   recall 0.5888481757757705
deviation 5/5   iterations 850/2000   F1 0.5850338003945175   accuracy 0.7258248009101251   precision 0.6738523573200992   recall 0.58649264233865
deviation 5/5   iterations 860/2000   F1 0.5616749327164551   accuracy 0.6848691695108078   precision 0.671439205955335   recall 0.5784534150911259
deviation 5/5   iterations 870/2000   F1 0.5790696385885481   accuracy 0.7246871444823664   precision 0.6607196029776674   recall 0.5808523386885369
deviation 5/5   iterations 880/2000   F1 0.5979880830962477   accuracy 0.757679180887372   precision 0.6627791563275434   recall 0.5902226684454469
deviation 5/5   iterations 890/2000   F1 0.6112688766816999   accuracy 0.7758816837315131   precision 0.668939205955335   recall 0.5992253767452707
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deviation 5/5   iterations 900/2000   F1 0.597058470713233   accuracy 0.7565415244596132   precision 0.6621339950372208   recall 0.5895964457608294
deviation 5/5   iterations 910/2000   F1 0.5808297567954219   accuracy 0.726962457337884   precision 0.6620099255583126   recall 0.5818744983948636
deviation 5/5   iterations 920/2000   F1 0.5176170195985647   accuracy 0.6200227531285551   precision 0.6429900744416874   recall 0.5611957733765199
deviation 5/5   iterations 930/2000   F1 0.5526717557251908   accuracy 0.689419795221843   precision 0.6407196029776674   recall 0.566518092780482
deviation 5/5   iterations 940/2000   F1 0.5523279944756688   accuracy 0.6803185437997725   precision 0.6522084367245657   recall 0.5700748272119723
deviation 5/5   iterations 950/2000   F1 0.5610296456977586   accuracy 0.7053469852104665   precision 0.6414267990074443   recall 0.56918212274228
deviation 5/5   iterations 960/2000   F1 0.574395533074411   accuracy 0.732650739476678   precision 0.6402605459057071   recall 0.5739082112970711
deviation 5/5   iterations 970/2000   F1 0.5664909001913407   accuracy 0.6973833902161547   precision 0.6660483870967742   recall 0.5780816083638655
deviation 5/5   iterations 980/2000   F1 0.5823227141223171   accuracy 0.7428896473265074   precision 0.6460669975186104   recall 0.5788705031151604
deviation 5/5   iterations 990/2000   F1 0.5897152324564354   accuracy 0.7474402730375427   precision 0.6569727047146402   recall 0.5847591612514236
deviation 5/5   iterations 1000/2000   F1 0.5888085923160026   accuracy 0.7463026166097838   precision 0.6563275434243176   recall 0.5841750841750841
deviation 5/5   iterations 1010/2000   F1 0.6081915588248759   accuracy 0.7895335608646189   precision 0.6475434243176179   recall 0.5957071804529431
deviation 5/5   iterations 1020/2000   F1 0.580846695978275   accuracy 0.7315130830489193   precision 0.6562655086848636   recall 0.580485404631665
deviation 5/5   iterations 1030/2000   F1 0.5634587793841739   accuracy 0.7133105802047781   precision 0.6376178660049627   recall 0.5689200944451349
deviation 5/5   iterations 1040/2000   F1 0.5740573310537963   accuracy 0.7372013651877133   precision 0.6345161290322581   recall 0.5724306557639891
deviation 5/5   iterations 1050/2000   F1 0.5695388271377315   accuracy 0.714448236632537   precision 0.6507506203473945   recall 0.574675803576916
deviation 5/5   iterations 1060/2000   F1 0.5817834218585096   accuracy 0.7497155858930603   precision 0.6374503722084367   recall 0.5768817055059751
deviation 5/5   iterations 1070/2000   F1 0.5738526179702651   accuracy 0.7201365187713311   precision 0.6539764267990074   recall 0.577112588542314
deviation 5/5   iterations 1080/2000   F1 0.5789885211809592   accuracy 0.7337883959044369   precision 0.6492307692307693   recall 0.5780258702336625
deviation 5/5   iterations 1090/2000   F1 0.574395533074411   accuracy 0.732650739476678   precision 0.6402605459057071   recall 0.5739082112970711
deviation 5/5   iterations 1100/2000   F1 0.5992446667347148   accuracy 0.7713310580204779   precision 0.6497084367245658   recall 0.5891701152822939
deviation 5/5   iterations 1110/2000   F1 0.6100122009834732   accuracy 0.7815699658703071   precision 0.6596774193548387   recall 0.59757096069869
deviation 5/5   iterations 1120/2000   F1 0.5753901324731042   accuracy 0.7315130830489193   precision 0.6437779156327543   recall 0.5751748251748252
deviation 5/5   iterations 1130/2000   F1 0.5702696509052021   accuracy 0.7087599544937428   precision 0.6600124069478908   recall 0.577492969932944
deviation 5/5   iterations 1140/2000   F1 0.592449882181578   accuracy 0.7508532423208191   precision 0.6589081885856078   recall 0.5865382016702251
deviation 5/5   iterations 1150/2000   F1 0.5844750251066898   accuracy 0.7531285551763367   precision 0.6393858560794045   recall 0.5786950126085738
deviation 5/5   iterations 1160/2000   F1 0.5887279632973915   accuracy 0.7485779294653014   precision 0.6534553349875931   recall 0.5835686873327748
deviation 5/5   iterations 1170/2000   F1 0.5846840918652442   accuracy 0.7508532423208191   precision 0.6422580645161291   recall 0.5793275217932752
deviation 5/5   iterations 1180/2000   F1 0.5758052789631737   accuracy 0.7394766780432309   precision 0.6358064516129032   recall 0.5735371179039301
deviation 5/5   iterations 1190/2000   F1 0.5851359457981191   accuracy 0.7565415244596132   precision 0.6371588089330025   recall 0.5786888746530002
deviation 5/5   iterations 1200/2000   F1 0.5959641949194081   accuracy 0.7599544937428896   precision 0.6557444168734492   recall 0.5879307929391986
deviation 5/5   iterations 1210/2000   F1 0.5888604089880072   accuracy 0.7440273037542662   precision 0.6591997518610422   recall 0.5847859125148671
deviation 5/5   iterations 1220/2000   F1 0.592269770552637   accuracy 0.7554038680318543   precision 0.6531637717121588   recall 0.5854088833540888
deviation 5/5   iterations 1230/2000   F1 0.6088737201365187   accuracy 0.782707622298066   precision 0.6561600496277915   recall 0.5965148378191857
deviation 5/5   iterations 1240/2000   F1 0.589526853343387   accuracy 0.7519908987485779   precision 0.651228287841191   recall 0.5835698712411042
deviation 5/5   iterations 1250/2000   F1 0.5799313053009614   accuracy 0.732650739476678   precision 0.6527481389578165   recall 0.5792602845554625
deviation 5/5   iterations 1260/2000   F1 0.5788978094954902   accuracy 0.7360637087599545   precision 0.6463585607940447   recall 0.5773246896262405
deviation 5/5   iterations 1270/2000   F1 0.5764549931321565   accuracy 0.7258248009101251   precision 0.6530397022332506   recall 0.5778832918713458
deviation 5/5   iterations 1280/2000   F1 0.5852058348456785   accuracy 0.7417519908987485   precision 0.6537468982630272   recall 0.5818818554248711
deviation 5/5   iterations 1290/2000   F1 0.6044421671716271   accuracy 0.770193401592719   precision 0.6615508684863524   recall 0.5939208586390456
deviation 5/5   iterations 1300/2000   F1 0.5987640232447902   accuracy 0.7633674630261661   precision 0.657679900744417   recall 0.5898772311957229
deviation 5/5   iterations 1310/2000   F1 0.6091614088932568   accuracy 0.7781569965870307   precision 0.6619044665012407   recall 0.5971277371719487
deviation 5/5   iterations 1320/2000   F1 0.5998554492400298   accuracy 0.7599544937428896   precision 0.6640694789081886   recall 0.5914902449149024
deviation 5/5   iterations 1330/2000   F1 0.5933664374840846   accuracy 0.7519908987485779   precision 0.6595533498759305   recall 0.5871403596742062
deviation 5/5   iterations 1340/2000   F1 0.5960626098963334   accuracy 0.757679180887372   precision 0.6586166253101737   recall 0.5884495641344957
deviation 5/5   iterations 1350/2000   F1 0.5702696509052021   accuracy 0.7087599544937428   precision 0.6600124069478908   recall 0.577492969932944
deviation 5/5   iterations 1360/2000   F1 0.5843988426225268   accuracy 0.7337883959044369   precision 0.6617183622828784   recall 0.5832939266908646
deviation 5/5   iterations 1370/2000   F1 0.6104330119183086   accuracy 0.7895335608646189   precision 0.6517059553349875   recall 0.597585794094174
deviation 5/5   iterations 1380/2000   F1 0.6055130385487528   accuracy 0.7838452787258248   precision 0.6484801488833747   recall 0.5935838285893025
deviation 5/5   iterations 1390/2000   F1 0.608886346300534   accuracy 0.7929465301478953   precision 0.6453163771712159   recall 0.5963167330022039
deviation 5/5   iterations 1400/2000   F1 0.5971356060899724   accuracy 0.7713310580204779   precision 0.645545905707196   recall 0.5873141104842431
deviation 5/5   iterations 1410/2000   F1 0.624298405239598   accuracy 0.8100113765642776   precision 0.6549937965260546   recall 0.610207844451894
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deviation 5/5   iterations 1420/2000   F1 0.5903451458770723   accuracy 0.7656427758816837   precision 0.6381575682382135   recall 0.5819992636229749
deviation 5/5   iterations 1430/2000   F1 0.6013605442176871   accuracy 0.7815699658703071   precision 0.6430272952853597   recall 0.590147012824523
deviation 5/5   iterations 1440/2000   F1 0.5835752781641168   accuracy 0.7519908987485779   precision 0.6387406947890819   recall 0.5780857214680744
deviation 5/5   iterations 1450/2000   F1 0.598079561042524   accuracy 0.7724687144482366   precision 0.6461910669975186   recall 0.5880195416380315
deviation 5/5   iterations 1460/2000   F1 0.6135991981853669   accuracy 0.800910125142207   precision 0.6456699751861041   recall 0.6006015011824382
deviation 5/5   iterations 1470/2000   F1 0.6253620211564137   accuracy 0.8111490329920364   precision 0.6556389578163772   recall 0.6112219385040961
update
deviation 5/5   iterations 1480/2000   F1 0.6111753840171107   accuracy 0.7929465301478953   precision 0.6494789081885857   recall 0.598214722426021
deviation 5/5   iterations 1490/2000   F1 0.6062214769120201   accuracy 0.7872582480091013   precision 0.6462531017369727   recall 0.5940782122905028
deviation 5/5   iterations 1500/2000   F1 0.6064896950804995   accuracy 0.7849829351535836   precision 0.6491253101736973   recall 0.5943682871678915
deviation 5/5   iterations 1510/2000   F1 0.5881986391092351   accuracy 0.7656427758816837   precision 0.6339950372208436   recall 0.5800961153384061
deviation 5/5   iterations 1520/2000   F1 0.6040176519260825   accuracy 0.7770193401592719   precision 0.6529342431761787   recall 0.5927571675822109
deviation 5/5   iterations 1530/2000   F1 0.6014727264199615   accuracy 0.7690557451649602   precision 0.65674317617866   recall 0.5914344647897518
deviation 5/5   iterations 1540/2000   F1 0.5961947820391529   accuracy 0.770193401592719   precision 0.6449007444168735   recall 0.5866150491701153
deviation 5/5   iterations 1550/2000   F1 0.6016417798874956   accuracy 0.7792946530147895   precision 0.6458995037220844   recall 0.5905217538565755
deviation 5/5   iterations 1560/2000   F1 0.6118208893909829   accuracy 0.8043230944254836   precision 0.6392803970223325   recall 0.599531865092031
deviation 5/5   iterations 1570/2000   F1 0.6068055093209055   accuracy 0.8043230944254836   precision 0.630955334987593   recall 0.5955169043654528
deviation 5/5   iterations 1580/2000   F1 0.6075554075554075   accuracy 0.7940841865756542   precision 0.6417990074441687   recall 0.5952496041336778
deviation 5/5   iterations 1590/2000   F1 0.6043007744445998   accuracy 0.7986348122866894   precision 0.6318920595533499   recall 0.5928590146750524
deviation 5/5   iterations 1600/2000   F1 0.5881986391092351   accuracy 0.7656427758816837   precision 0.6339950372208436   recall 0.5800961153384061
deviation 5/5   iterations 1610/2000   F1 0.5893214225644284   accuracy 0.7724687144482366   precision 0.6295409429280396   recall 0.5803722634479785
deviation 5/5   iterations 1620/2000   F1 0.6055130385487528   accuracy 0.7838452787258248   precision 0.6484801488833747   recall 0.5935838285893025
deviation 5/5   iterations 1630/2000   F1 0.6108859464457868   accuracy 0.7952218430034129   precision 0.646606699751861   recall 0.598037832904671
deviation 5/5   iterations 1640/2000   F1 0.6165702154884113   accuracy 0.8122866894197952   precision 0.6396339950372208   recall 0.6045918367346939
deviation 5/5   iterations 1650/2000   F1 0.6222864721485412   accuracy 0.8156996587030717   precision 0.6457320099255583   recall 0.6097572371003008
deviation 5/5   iterations 1660/2000   F1 0.6182230195448966   accuracy 0.8168373151308305   precision 0.6380521091811415   recall 0.6069307501585655
deviation 5/5   iterations 1670/2000   F1 0.6118208893909829   accuracy 0.8043230944254836   precision 0.6392803970223325   recall 0.599531865092031
deviation 5/5   iterations 1680/2000   F1 0.6355816481843879   accuracy 0.8373151308304891   precision 0.6455024813895781   recall 0.6278647593711157
update
deviation 5/5   iterations 1690/2000   F1 0.6152995646465345   accuracy 0.8054607508532423   precision 0.6440880893300248   recall 0.6024533761490551
deviation 5/5   iterations 1700/2000   F1 0.619290989020508   accuracy 0.8179749715585893   precision 0.638697270471464   recall 0.6080514208389716
deviation 5/5   iterations 1710/2000   F1 0.6163345999794598   accuracy 0.8065984072810012   precision 0.6447332506203474   recall 0.6034285562293861
deviation 5/5   iterations 1720/2000   F1 0.6298315501934897   accuracy 0.8316268486916951   precision 0.6422766749379653   recall 0.6208657433757035
deviation 5/5   iterations 1730/2000   F1 0.6367514900353883   accuracy 0.838452787258248   precision 0.6461476426799008   recall 0.6293313570487484
update
deviation 5/5   iterations 1740/2000   F1 0.6220330237358103   accuracy 0.8293515358361775   precision 0.6326612903225807   recall 0.614211706900235
deviation 5/5   iterations 1750/2000   F1 0.6113922999220293   accuracy 0.8122866894197952   precision 0.6313089330024814   recall 0.6005577303131651
deviation 5/5   iterations 1760/2000   F1 0.6046452210432186   accuracy 0.8077360637087599   precision 0.6245657568238213   recall 0.5943343042375271
deviation 5/5   iterations 1770/2000   F1 0.6225269901011223   accuracy 0.8213879408418657   precision 0.6406327543424317   recall 0.6115056957916069
deviation 5/5   iterations 1780/2000   F1 0.6321121431028551   accuracy 0.8339021615472128   precision 0.6435669975186105   recall 0.6236007263405255
deviation 5/5   iterations 1790/2000   F1 0.6288006756756758   accuracy 0.8361774744027304   precision 0.6365322580645161   recall 0.6225472727677677
deviation 5/5   iterations 1800/2000   F1 0.6214029614453342   accuracy 0.8316268486916951   precision 0.629789081885856   recall 0.614855072463768
deviation 5/5   iterations 1810/2000   F1 0.6209531180893411   accuracy 0.8225255972696246   precision 0.6371153846153846   recall 0.6107031954322348
deviation 5/5   iterations 1820/2000   F1 0.632061273593497   accuracy 0.850967007963595   precision 0.6282692307692308   recall 0.636294724075197
deviation 5/5   iterations 1830/2000   F1 0.6176447326795318   accuracy 0.8248009101251422   precision 0.6300806451612904   recall 0.6090681175099867
deviation 5/5   iterations 1840/2000   F1 0.6169934640522876   accuracy 0.8270762229806599   precision 0.6272084367245657   recall 0.6095171971800897
deviation 5/5   iterations 1850/2000   F1 0.6049342741156002   accuracy 0.78839590443686   precision 0.6427357320099255   recall 0.5929821867321867
deviation 5/5   iterations 1860/2000   F1 0.6108897742363878   accuracy 0.8088737201365188   precision 0.6335359801488833   recall 0.5994842311531778
deviation 5/5   iterations 1870/2000   F1 0.62645746851474   accuracy 0.8282138794084186   precision 0.6403411910669975   recall 0.6169147286821706
deviation 5/5   iterations 1880/2000   F1 0.6251395509921363   accuracy 0.8213879408418657   precision 0.6447952853598015   recall 0.6134600427765895
deviation 5/5   iterations 1890/2000   F1 0.6242382755200402   accuracy 0.825938566552901   precision 0.6390508684863524   recall 0.61437625015308
deviation 5/5   iterations 1900/2000   F1 0.6260884796316685   accuracy 0.8452787258248009   precision 0.625043424317618   recall 0.627167083049436
deviation 5/5   iterations 1910/2000   F1 0.6316353138387036   accuracy 0.8361774744027304   precision 0.6406947890818858   recall 0.6245059288537549
deviation 5/5   iterations 1920/2000   F1 0.6231374863582707   accuracy 0.8248009101251422   precision 0.6384057071960297   recall 0.6131343556042351
deviation 5/5   iterations 1930/2000   F1 0.6322628276116649   accuracy 0.8452787258248009   precision 0.6333684863523573   recall 0.6311906563499231
deviation 5/5   iterations 1940/2000   F1 0.6208130926511922   accuracy 0.8168373151308305   precision 0.6422146401985112   recall 0.608909432958346
deviation 5/5   iterations 1950/2000   F1 0.5924914675767918   accuracy 0.7736063708759955   precision 0.634348635235732   recall 0.5830342765125374
deviation 5/5   iterations 1960/2000   F1 0.6148247211472797   accuracy 0.8248009101251422   precision 0.6259181141439206   recall 0.6069689495984316
deviation 5/5   iterations 1970/2000   F1 0.6352177149826557   accuracy 0.850967007963595   precision 0.6324317617866004   recall 0.6382284382284382
deviation 5/5   iterations 1980/2000   F1 0.6332389395058688   accuracy 0.8612059158134243   precision 0.6215880893300247   recall 0.6499525660250329
deviation 5/5   iterations 1990/2000   F1 0.626519137642019   accuracy 0.8339021615472128   precision 0.635241935483871   recall 0.6196805006587616
deviation 5/5   iterations 2000/2000   F1 0.6241084698726365   accuracy 0.8373151308304891   precision 0.6288523573200993   recall 0.619983132697151

