deviation 1/5   iterations 10/2000   F1 0.49562692270551395   accuracy 0.623155505107832   precision 0.5719685812469317   recall 0.5321343241051271
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deviation 1/5   iterations 20/2000   F1 0.37350475881462253   accuracy 0.4029511918274688   precision 0.5663782523318606   recall 0.5312341187341187
deviation 1/5   iterations 30/2000   F1 0.45021782644530794   accuracy 0.5187287173666288   precision 0.5950417280314187   recall 0.5400330851943755
deviation 1/5   iterations 40/2000   F1 0.4910887029193387   accuracy 0.5970488081725313   precision 0.5942071674030437   recall 0.5404813888976785
deviation 1/5   iterations 50/2000   F1 0.3487401214673942   accuracy 0.3688989784335982   precision 0.5594010800196367   recall 0.5299764647590735
deviation 1/5   iterations 60/2000   F1 0.4563965446318387   accuracy 0.5232690124858116   precision 0.6099717722140403   recall 0.5463462950894289
deviation 1/5   iterations 70/2000   F1 0.4625824290809353   accuracy 0.5334846765039728   precision 0.6116531664212077   recall 0.5469427244582044
deviation 1/5   iterations 80/2000   F1 0.4635982916491985   accuracy 0.5334846765039728   precision 0.6157707412862052   recall 0.5486904725035358
deviation 1/5   iterations 90/2000   F1 0.41521547540690995   accuracy 0.45970488081725314   precision 0.5944771723122239   recall 0.5415022319984473
deviation 1/5   iterations 100/2000   F1 0.45559572403812143   accuracy 0.5221339387060159   precision 0.6093274423171331   recall 0.5460876223588088
deviation 1/5   iterations 110/2000   F1 0.5051338956903766   accuracy 0.6061293984108967   precision 0.6240672557682867   recall 0.5531677658914239
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deviation 1/5   iterations 120/2000   F1 0.48347637640587393   accuracy 0.5664018161180476   precision 0.6221035837015219   recall 0.5513539182590562
deviation 1/5   iterations 130/2000   F1 0.4933499822073103   accuracy 0.5891032917139614   precision 0.6144023073146785   recall 0.5486041588453677
deviation 1/5   iterations 140/2000   F1 0.4585957904440006   accuracy 0.5278093076049943   precision 0.6084315169366716   recall 0.5456306166718314
deviation 1/5   iterations 150/2000   F1 0.45719722201390756   accuracy 0.5244040862656073   precision 0.6106161021109475   recall 0.5466053053415378
deviation 1/5   iterations 160/2000   F1 0.43984992553557106   accuracy 0.4960272417707151   precision 0.6068605792832598   recall 0.5456226945003353
deviation 1/5   iterations 170/2000   F1 0.3927746357623111   accuracy 0.42565266742338254   precision 0.5916175748649976   recall 0.542172758601209
deviation 1/5   iterations 180/2000   F1 0.48189169321244785   accuracy 0.5641316685584563   precision 0.6208149239077074   recall 0.5507946336429308
deviation 1/5   iterations 190/2000   F1 0.5206947060054405   accuracy 0.6606129398410897   precision 0.5932314678448699   recall 0.5435829030407344
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deviation 1/5   iterations 200/2000   F1 0.5077858515101219   accuracy 0.6118047673098751   precision 0.6231713303878252   recall 0.553041593996089
deviation 1/5   iterations 210/2000   F1 0.5090015537391069   accuracy 0.6254256526674233   precision 0.6061978399607266   recall 0.5466977517296463
deviation 1/5   iterations 220/2000   F1 0.4996245668078553   accuracy 0.5981838819523269   precision 0.6195569464899362   recall 0.5510133012149141
deviation 1/5   iterations 230/2000   F1 0.5170297800099031   accuracy 0.6481271282633371   precision 0.5984965635738831   recall 0.5448883593977225
deviation 1/5   iterations 240/2000   F1 0.487132786150948   accuracy 0.5766174801362088   precision 0.6155498281786942   recall 0.5487864278903951
deviation 1/5   iterations 250/2000   F1 0.4391066269256683   accuracy 0.49375709421112374   precision 0.6096894943544428   recall 0.5469455825191722
deviation 1/5   iterations 260/2000   F1 0.5049234345266224   accuracy 0.6004540295119183   precision 0.6331983308787432   recall 0.5567067945743724
deviation 1/5   iterations 270/2000   F1 0.4988390557974301   accuracy 0.5970488081725313   precision 0.618912616593029   recall 0.5507091641806667
deviation 1/5   iterations 280/2000   F1 0.4715999135843315   accuracy 0.5493757094211124   precision 0.6124386352479136   recall 0.5472159518434914
deviation 1/5   iterations 290/2000   F1 0.47108583293836187   accuracy 0.547105561861521   precision 0.6152675503190967   recall 0.5484028901555366
deviation 1/5   iterations 300/2000   F1 0.4957004934905488   accuracy 0.5925085130533485   precision 0.6163352970054001   recall 0.5495012794401797
deviation 1/5   iterations 310/2000   F1 0.5102539716559059   accuracy 0.623155505107832   precision 0.6131443298969073   recall 0.5494624002060262
deviation 1/5   iterations 320/2000   F1 0.4980139648244516   accuracy 0.6072644721906924   precision 0.6000061364752087   recall 0.5432648401826484
deviation 1/5   iterations 330/2000   F1 0.4906511653551989   accuracy 0.583427922814983   precision 0.61529823269514   recall 0.5488279625779626
deviation 1/5   iterations 340/2000   F1 0.4781265804773254   accuracy 0.565266742338252   precision 0.6049889543446245   recall 0.5442230148883375
deviation 1/5   iterations 350/2000   F1 0.4843218952191536   accuracy 0.5777525539160046   precision 0.6038414334806087   recall 0.5439578137988362
deviation 1/5   iterations 360/2000   F1 0.5330315291099605   accuracy 0.681044267877412   precision 0.6007118311242023   recall 0.5487639648205371
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deviation 1/5   iterations 370/2000   F1 0.5158887726371841   accuracy 0.6333711691259932   precision 0.6148257241040747   recall 0.5507545921079756
deviation 1/5   iterations 380/2000   F1 0.49421480303833243   accuracy 0.58683314415437   precision 0.6213487972508591   recall 0.5514122443037053
deviation 1/5   iterations 390/2000   F1 0.5016624977365994   accuracy 0.5993189557321226   precision 0.624318851251841   recall 0.5530146019783325
deviation 1/5   iterations 400/2000   F1 0.49397060711076884   accuracy 0.5936435868331441   precision 0.6087444771723123   recall 0.5463997695852535
deviation 1/5   iterations 410/2000   F1 0.5217053438364914   accuracy 0.6526674233825198   precision 0.6051914580265095   recall 0.5480733636210667
deviation 1/5   iterations 420/2000   F1 0.501876124389617   accuracy 0.6129398410896708   precision 0.6032277859597448   recall 0.5448443164853913
deviation 1/5   iterations 430/2000   F1 0.5185894181684858   accuracy 0.6481271282633371   precision 0.6026141384388807   recall 0.5466370664554491
deviation 1/5   iterations 440/2000   F1 0.5217053438364914   accuracy 0.6526674233825198   precision 0.6051914580265095   recall 0.5480733636210667
deviation 1/5   iterations 450/2000   F1 0.5239561638661414   accuracy 0.6492622020431328   precision 0.6156111929307806   recall 0.5521976195225746
deviation 1/5   iterations 460/2000   F1 0.46549007534048104   accuracy 0.5437003405221339   precision 0.6009818360333825   recall 0.5424040651831085
deviation 1/5   iterations 470/2000   F1 0.4761471625348585   accuracy 0.5607264472190693   precision 0.6065292096219931   recall 0.544812026969819
deviation 1/5   iterations 480/2000   F1 0.4965771330798356   accuracy 0.5993189557321226   precision 0.6078485517918508   recall 0.5462174045673052
deviation 1/5   iterations 490/2000   F1 0.505355897933463   accuracy 0.6242905788876277   precision 0.5973183603338242   recall 0.5429252739162445
deviation 1/5   iterations 500/2000   F1 0.520214045281097   accuracy 0.6674233825198638   precision 0.5847447226313205   recall 0.5404311879332958
deviation 1/5   iterations 510/2000   F1 0.49347022587268996   accuracy 0.5947786606129398   precision 0.605271232204222   recall 0.5449983737107723
deviation 1/5   iterations 520/2000   F1 0.49424642336519736   accuracy 0.5959137343927355   precision 0.6059155621011292   recall 0.5453018372703412
deviation 1/5   iterations 530/2000   F1 0.500704326860078   accuracy 0.6072644721906924   precision 0.6082412862052038   recall 0.5466818047086721
deviation 1/5   iterations 540/2000   F1 0.5224209876076296   accuracy 0.6583427922814983   precision 0.6001779577810507   recall 0.5463910201761863
deviation 1/5   iterations 550/2000   F1 0.5154115986549878   accuracy 0.6390465380249716   precision 0.6056946489936181   recall 0.5473056852513046
deviation 1/5   iterations 560/2000   F1 0.5200905976289798   accuracy 0.6549375709421112   precision 0.598244968090329   recall 0.5452904700477517
deviation 1/5   iterations 570/2000   F1 0.506526751572122   accuracy 0.619750283768445   precision 0.6070937653411881   recall 0.5467736575220575
deviation 1/5   iterations 580/2000   F1 0.5105555555555555   accuracy 0.6276958002270148   precision 0.607486499754541   recall 0.5473610209820463
deviation 1/5   iterations 590/2000   F1 0.51936715766503   accuracy 0.6492622020431328   precision 0.6032584683357879   recall 0.5469938670866986
deviation 1/5   iterations 600/2000   F1 0.5030383464816852   accuracy 0.6106696935300795   precision 0.6101742758959254   recall 0.5476258687463526
deviation 1/5   iterations 610/2000   F1 0.5069378212260902   accuracy 0.6163450624290578   precision 0.6133959253804615   recall 0.5492195823567014
deviation 1/5   iterations 620/2000   F1 0.5080811891647175   accuracy 0.6220204313280363   precision 0.6083824251350025   recall 0.5474254597009796
deviation 1/5   iterations 630/2000   F1 0.5335168908185958   accuracy 0.6651532349602725   precision 0.6205142366224841   recall 0.5556396047233744
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deviation 1/5   iterations 640/2000   F1 0.4975983784981556   accuracy 0.6027241770715096   precision 0.6056639666175749   recall 0.5454365540098373
deviation 1/5   iterations 650/2000   F1 0.5059005668842858   accuracy 0.6208853575482406   precision 0.6036205203730978   recall 0.5453851529323228
deviation 1/5   iterations 660/2000   F1 0.48743438942642137   accuracy 0.5822928490351873   precision 0.6064187530682376   recall 0.5451266731894165
deviation 1/5   iterations 670/2000   F1 0.5248349811407018   accuracy 0.6572077185017026   precision 0.6077687776141385   recall 0.5495346082247419
deviation 1/5   iterations 680/2000   F1 0.5287716567830342   accuracy 0.6606129398410897   precision 0.6138193421698577   recall 0.552392520196599
deviation 1/5   iterations 690/2000   F1 0.5271928182361175   accuracy 0.6583427922814983   precision 0.6125306823760432   recall 0.5516481907079447
deviation 1/5   iterations 700/2000   F1 0.521726898082105   accuracy 0.6889897843359818   precision 0.5681639666175748   recall 0.5347929587170331
deviation 1/5   iterations 710/2000   F1 0.5423985645357923   accuracy 0.7253121452894438   precision 0.5805473735886107   recall 0.5452689373560127
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deviation 1/5   iterations 720/2000   F1 0.5295239548367409   accuracy 0.6662883087400681   precision 0.6088058419243987   recall 0.5507818765036087
deviation 1/5   iterations 730/2000   F1 0.4983742423871636   accuracy 0.6038592508513053   precision 0.6063082965144821   recall 0.5457464562604305
deviation 1/5   iterations 740/2000   F1 0.5263775907193888   accuracy 0.6549375709421112   precision 0.6147152675503191   recall 0.5522797950645457
deviation 1/5   iterations 750/2000   F1 0.5275435721733949   accuracy 0.6730987514188422   precision 0.5962015218458517   recall 0.5459795398819789
deviation 1/5   iterations 760/2000   F1 0.5289743040395911   accuracy 0.6855845629965948   precision 0.586818851251841   recall 0.5430595797521366
deviation 1/5   iterations 770/2000   F1 0.5263234375227052   accuracy 0.6640181611804767   precision 0.6033996072655867   recall 0.5482586779699852
deviation 1/5   iterations 780/2000   F1 0.5217503231908309   accuracy 0.6696935300794552   precision 0.5860333824251349   recall 0.5411941000176295
deviation 1/5   iterations 790/2000   F1 0.5188687051451077   accuracy 0.662883087400681   precision 0.5862849779086893   recall 0.5407381010325766
deviation 1/5   iterations 800/2000   F1 0.511530981304962   accuracy 0.6333711691259932   precision 0.6024729995090821   recall 0.5455957841852337
deviation 1/5   iterations 810/2000   F1 0.5259839142942798   accuracy 0.6923950056753689   precision 0.574214531173294   recall 0.5379698351103241
deviation 1/5   iterations 820/2000   F1 0.5395262637305429   accuracy 0.7150964812712827   precision 0.5829835542464408   recall 0.544906620264598
deviation 1/5   iterations 830/2000   F1 0.5208665014170661   accuracy 0.656072644721907   precision 0.5988892979872362   recall 0.5456556968337073
deviation 1/5   iterations 840/2000   F1 0.5139116373327411   accuracy 0.6390465380249716   precision 0.6015770741286206   recall 0.545573432888419
deviation 1/5   iterations 850/2000   F1 0.5016628729537803   accuracy 0.623155505107832   precision 0.5884388807069219   recall 0.5391332681655262
deviation 1/5   iterations 860/2000   F1 0.5258769115858623   accuracy 0.681044267877412   precision 0.5842415316642121   recall 0.5414372645609968
deviation 1/5   iterations 870/2000   F1 0.5197944103014339   accuracy 0.6617480136208853   precision 0.5897582228767796   recall 0.5421653752133204
deviation 1/5   iterations 880/2000   F1 0.5219449408757975   accuracy 0.6674233825198638   precision 0.5888622974963181   recall 0.5422457552949413
deviation 1/5   iterations 890/2000   F1 0.5074499184954667   accuracy 0.623155505107832   precision 0.6049091801669122   recall 0.5460391666846198
deviation 1/5   iterations 900/2000   F1 0.5161149248360443   accuracy 0.637911464245176   precision 0.6091678939617085   recall 0.5486869040711995
deviation 1/5   iterations 910/2000   F1 0.5279070423329667   accuracy 0.6549375709421112   precision 0.6188328424153167   recall 0.5540082999587234
deviation 1/5   iterations 920/2000   F1 0.5295624937284078   accuracy 0.6617480136208853   precision 0.6144636720667649   recall 0.552767216602168
deviation 1/5   iterations 930/2000   F1 0.5301447670728419   accuracy 0.7014755959137344   precision 0.5752515954835542   recall 0.5394491340041692
deviation 1/5   iterations 940/2000   F1 0.5339216184188251   accuracy 0.7162315550510783   precision 0.5712751595483554   recall 0.5393462059620596
deviation 1/5   iterations 950/2000   F1 0.5298709357160587   accuracy 0.7071509648127128   precision 0.5702380952380952   recall 0.5376984388380212
deviation 1/5   iterations 960/2000   F1 0.5314141346984909   accuracy 0.7094211123723042   precision 0.5715267550319096   recall 0.538600116568643
deviation 1/5   iterations 970/2000   F1 0.5304902939042089   accuracy 0.6799091940976163   precision 0.5959499263622975   recall 0.5465473511234952
deviation 1/5   iterations 980/2000   F1 0.5293727235936868   accuracy 0.7003405221339387   precision 0.574607265586647   recall 0.5390129636760365
deviation 1/5   iterations 990/2000   F1 0.5388600101075735   accuracy 0.7366628830874007   precision 0.5664027982326951   recall 0.539865751042603
deviation 1/5   iterations 1000/2000   F1 0.5381523765144455   accuracy 0.6935300794551645   precision 0.5995643102601865   recall 0.5496967654986523
deviation 1/5   iterations 1010/2000   F1 0.520132006151743   accuracy 0.6526674233825198   precision 0.601073883161512   recall 0.5463230661926832
deviation 1/5   iterations 1020/2000   F1 0.5169332989291704   accuracy 0.6526674233825198   precision 0.5928387334315168   recall 0.5427982211962794
deviation 1/5   iterations 1030/2000   F1 0.5168422571799682   accuracy 0.6549375709421112   precision 0.5900098183603338   recall 0.5417463570127504
deviation 1/5   iterations 1040/2000   F1 0.5257050928828846   accuracy 0.7105561861520999   precision 0.5598183603338243   recall 0.5329257582922381
deviation 1/5   iterations 1050/2000   F1 0.5202131018153118   accuracy 0.6867196367763905   precision 0.5668753068237604   recall 0.5339781003691509
deviation 1/5   iterations 1060/2000   F1 0.5290917951862157   accuracy 0.6912599318955732   precision 0.5818053510063819   recall 0.5413754360699699
deviation 1/5   iterations 1070/2000   F1 0.531420967611184   accuracy 0.6946651532349603   precision 0.5837383406971035   recall 0.54264375
deviation 1/5   iterations 1080/2000   F1 0.5376502454714746   accuracy 0.7185017026106697   precision 0.5766813942071674   recall 0.542330623306233
deviation 1/5   iterations 1090/2000   F1 0.536507829902504   accuracy 0.7332576617480137   precision 0.5644698085419735   recall 0.5382988961635486
deviation 1/5   iterations 1100/2000   F1 0.537946960698346   accuracy 0.7128263337116912   precision 0.5816948944526263   recall 0.5439668952033713
deviation 1/5   iterations 1110/2000   F1 0.5408638978620546   accuracy 0.7082860385925085   precision 0.5914702994599902   recall 0.5479514630568494
deviation 1/5   iterations 1120/2000   F1 0.5318416062635716   accuracy 0.684449489216799   precision 0.5944096710849288   recall 0.5463448284171968
deviation 1/5   iterations 1130/2000   F1 0.5200905976289798   accuracy 0.6549375709421112   precision 0.598244968090329   recall 0.5452904700477517
deviation 1/5   iterations 1140/2000   F1 0.520132006151743   accuracy 0.6526674233825198   precision 0.601073883161512   recall 0.5463230661926832
deviation 1/5   iterations 1150/2000   F1 0.5263234375227052   accuracy 0.6640181611804767   precision 0.6033996072655867   recall 0.5482586779699852
deviation 1/5   iterations 1160/2000   F1 0.5367249833965628   accuracy 0.6719636776390465   precision 0.6202626411389298   recall 0.5562191623637407
deviation 1/5   iterations 1170/2000   F1 0.5472830046165499   accuracy 0.717366628830874   precision 0.5966249386352479   recall 0.5517211930101169
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deviation 1/5   iterations 1180/2000   F1 0.544420312338401   accuracy 0.7446083995459705   precision 0.5709131075110456   recall 0.5436774310595065
deviation 1/5   iterations 1190/2000   F1 0.5435102318002721   accuracy 0.7332576617480137   precision 0.5768225331369661   recall 0.544715824665676
deviation 1/5   iterations 1200/2000   F1 0.5435967059075725   accuracy 0.7366628830874007   precision 0.5746379479626902   recall 0.5441860296147754
deviation 1/5   iterations 1210/2000   F1 0.5443103448275862   accuracy 0.7343927355278093   precision 0.5774668630338733   recall 0.5452414742183804
deviation 1/5   iterations 1220/2000   F1 0.5525647536820721   accuracy 0.7275822928490352   precision 0.5983063328424153   recall 0.5542682926829269
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deviation 1/5   iterations 1230/2000   F1 0.5460473925927435   accuracy 0.7128263337116912   precision 0.5981651939126166   recall 0.5517240264359342
deviation 1/5   iterations 1240/2000   F1 0.5294390555798141   accuracy 0.6889897843359818   precision 0.5846342660775651   recall 0.5424280458242583
deviation 1/5   iterations 1250/2000   F1 0.5306075672980456   accuracy 0.699205448354143   precision 0.5780805105547374   recall 0.540526423074963
deviation 1/5   iterations 1260/2000   F1 0.5361161996856763   accuracy 0.7014755959137344   precision 0.5876043200785469   recall 0.5452488114104596
deviation 1/5   iterations 1270/2000   F1 0.5153946165276032   accuracy 0.6503972758229285   precision 0.5915500736377024   recall 0.5420798781519716
deviation 1/5   iterations 1280/2000   F1 0.5217503231908309   accuracy 0.6696935300794552   precision 0.5860333824251349   recall 0.5411941000176295
deviation 1/5   iterations 1290/2000   F1 0.5145413067163014   accuracy 0.6515323496027242   precision 0.5880768286696121   recall 0.5406637428888738
deviation 1/5   iterations 1300/2000   F1 0.5244317257494417   accuracy 0.6685584562996595   precision 0.5936242022582229   recall 0.5444318248005126
deviation 1/5   iterations 1310/2000   F1 0.5320585780408225   accuracy 0.6821793416572077   precision 0.5972385861561119   recall 0.5473557749778851
deviation 1/5   iterations 1320/2000   F1 0.522936489518063   accuracy 0.6821793416572077   precision 0.5766507118311242   recall 0.538096719491515
deviation 1/5   iterations 1330/2000   F1 0.5292514531404111   accuracy 0.6833144154370034   precision 0.5896477663230241   recall 0.5440965179175118
deviation 1/5   iterations 1340/2000   F1 0.5400104424417151   accuracy 0.7128263337116912   precision 0.585812469317624   recall 0.5459335172776245
deviation 1/5   iterations 1350/2000   F1 0.5352994702189944   accuracy 0.7150964812712827   precision 0.5747484045164457   recall 0.5409076865210499
deviation 1/5   iterations 1360/2000   F1 0.537044790402789   accuracy 0.720771850170261   precision 0.5738524791359843   recall 0.5412553133141368
deviation 1/5   iterations 1370/2000   F1 0.5476644881511256   accuracy 0.7150964812712827   precision 0.599453853706431   recall 0.5526748569942798
deviation 1/5   iterations 1380/2000   F1 0.5378298806273754   accuracy 0.7219069239500567   precision 0.5744968090328915   recall 0.5417411635263375
deviation 1/5   iterations 1390/2000   F1 0.5380739673931388   accuracy 0.735527809307605   precision 0.5657584683357879   recall 0.5393392070484582
deviation 1/5   iterations 1400/2000   F1 0.5484305542955639   accuracy 0.7434733257661748   precision 0.5785039273441335   recall 0.5474700923204797
deviation 1/5   iterations 1410/2000   F1 0.5468106995884774   accuracy 0.7412031782065834   precision 0.577215267550319   recall 0.5463571523305678
deviation 1/5   iterations 1420/2000   F1 0.5427121089488687   accuracy 0.7321225879682179   precision 0.5761782032400589   recall 0.5441942925495558
deviation 1/5   iterations 1430/2000   F1 0.5417822468793343   accuracy 0.7275822928490352   precision 0.5777184585174275   recall 0.5442244570151547
deviation 1/5   iterations 1440/2000   F1 0.5314141346984909   accuracy 0.7094211123723042   precision 0.5715267550319096   recall 0.538600116568643
deviation 1/5   iterations 1450/2000   F1 0.5329804616847702   accuracy 0.6969353007945517   precision 0.5850270004909179   recall 0.5435017393160784
deviation 1/5   iterations 1460/2000   F1 0.5475263455124721   accuracy 0.7264472190692395   precision 0.589426853215513   recall 0.5498058756784098
deviation 1/5   iterations 1470/2000   F1 0.5460040280387501   accuracy 0.7400681044267877   precision 0.5765709376534118   recall 0.5458076358296623
deviation 1/5   iterations 1480/2000   F1 0.5583442653673164   accuracy 0.757094211123723   precision 0.5862358861070202   recall 0.5545705187946568
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deviation 1/5   iterations 1490/2000   F1 0.5516052633364775   accuracy 0.7446083995459705   precision 0.5832658321060382   recall 0.5501685966546874
deviation 1/5   iterations 1500/2000   F1 0.5683325795266093   accuracy 0.7639046538024972   precision 0.5983370152184585   recall 0.5627280129018115
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deviation 1/5   iterations 1510/2000   F1 0.5629869044883978   accuracy 0.7843359818388195   precision 0.576994354442808   recall 0.5575191623574284
deviation 1/5   iterations 1520/2000   F1 0.5740605245808394   accuracy 0.7877412031782066   precision 0.5912800687285223   recall 0.5671206050104686
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deviation 1/5   iterations 1530/2000   F1 0.5600862009236496   accuracy 0.7627695800227015   precision 0.5853399607265587   recall 0.5555684306423514
deviation 1/5   iterations 1540/2000   F1 0.5616208904805624   accuracy 0.7582292849035187   precision 0.5909977908689249   recall 0.5573566952889302
deviation 1/5   iterations 1550/2000   F1 0.5590835789356615   accuracy 0.7548240635641317   precision 0.5890648011782033   recall 0.5554867419029269
deviation 1/5   iterations 1560/2000   F1 0.5417822468793343   accuracy 0.7275822928490352   precision 0.5777184585174275   recall 0.5442244570151547
deviation 1/5   iterations 1570/2000   F1 0.5416605699978865   accuracy 0.7094211123723042   precision 0.5921146293568974   recall 0.5484119612472103
deviation 1/5   iterations 1580/2000   F1 0.5413788725241239   accuracy 0.720771850170261   precision 0.5820876288659793   recall 0.5453150406504065
deviation 1/5   iterations 1590/2000   F1 0.5608787574558554   accuracy 0.7604994324631101   precision 0.5881688757977418   recall 0.5564699963841595
deviation 1/5   iterations 1600/2000   F1 0.5575046547104268   accuracy 0.7559591373439274   precision 0.5855915562101129   recall 0.5539490987854877
deviation 1/5   iterations 1610/2000   F1 0.5525626689031777   accuracy 0.7525539160045402   precision 0.5795409916543938   recall 0.5499391268165637
deviation 1/5   iterations 1620/2000   F1 0.5731729898512823   accuracy 0.7832009080590239   precision 0.592820324005891   recall 0.5662062083092599
deviation 1/5   iterations 1630/2000   F1 0.5507860443289293   accuracy 0.7434733257661748   precision 0.582621502209131   recall 0.5496028529745501
deviation 1/5   iterations 1640/2000   F1 0.5582429262994928   accuracy 0.753688989784336   precision 0.588420471281296   recall 0.5548747048518546
deviation 1/5   iterations 1650/2000   F1 0.5554002393754801   accuracy 0.7434733257661748   precision 0.5908566519391262   recall 0.5537875815568828
deviation 1/5   iterations 1660/2000   F1 0.5645986802614025   accuracy 0.735527809307605   precision 0.6151693667157585   recall 0.5637638617090671
deviation 1/5   iterations 1670/2000   F1 0.5629353283194095   accuracy 0.7446083995459705   precision 0.603853706431026   recall 0.5604497656875072
deviation 1/5   iterations 1680/2000   F1 0.5695050221699393   accuracy 0.7854710556186152   precision 0.5858738340697104   recall 0.5631452602700165
deviation 1/5   iterations 1690/2000   F1 0.5646682984566944   accuracy 0.7559591373439274   precision 0.5979442808051055   recall 0.5603267114175133
deviation 1/5   iterations 1700/2000   F1 0.5491542770954536   accuracy 0.7412031782065834   precision 0.5813328424153166   recall 0.5484855136084285
deviation 1/5   iterations 1710/2000   F1 0.5550420248146525   accuracy 0.7593643586833144   precision 0.5792893961708394   recall 0.5514133600725779
deviation 1/5   iterations 1720/2000   F1 0.5635624563141716   accuracy 0.7514188422247446   precision 0.5994845360824743   recall 0.5599405474954523
deviation 1/5   iterations 1730/2000   F1 0.5764755513695943   accuracy 0.7775255391600454   precision 0.6019513991163477   recall 0.5690363007778738
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deviation 1/5   iterations 1740/2000   F1 0.5776997773379515   accuracy 0.7888762769580022   precision 0.5960419734904271   recall 0.5702569489334195
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deviation 1/5   iterations 1750/2000   F1 0.5709550267041557   accuracy 0.7945516458569807   precision 0.582793323514973   recall 0.5650279545016387
deviation 1/5   iterations 1760/2000   F1 0.5654892028792322   accuracy 0.7480136208853575   precision 0.6057866961217476   recall 0.5621987299754655
deviation 1/5   iterations 1770/2000   F1 0.5634374583087156   accuracy 0.7639046538024972   precision 0.5901018654884634   recall 0.5584244536758503
deviation 1/5   iterations 1780/2000   F1 0.5729588358119913   accuracy 0.793416572077185   precision 0.5862665684830632   recall 0.5666041275797373
deviation 1/5   iterations 1790/2000   F1 0.563813400814171   accuracy 0.7548240635641317   precision 0.5972999509081983   recall 0.5597059886733341
deviation 1/5   iterations 1800/2000   F1 0.565238847216739   accuracy 0.7729852440408627   precision 0.5870213549337261   recall 0.5594651034066321
deviation 1/5   iterations 1810/2000   F1 0.5635105172278472   accuracy 0.7707150964812712   precision 0.5857326951399117   recall 0.5580538195598697
deviation 1/5   iterations 1820/2000   F1 0.5456020731645952   accuracy 0.720771850170261   precision 0.5903227785959745   recall 0.5492907278913387
deviation 1/5   iterations 1830/2000   F1 0.5672486978442604   accuracy 0.7593643586833144   precision 0.5998772704958272   recall 0.5622228338991345
deviation 1/5   iterations 1840/2000   F1 0.5517448132736282   accuracy 0.7264472190692395   precision 0.5976620029455081   recall 0.5537559954063366
deviation 1/5   iterations 1850/2000   F1 0.5482051282051281   accuracy 0.7366628830874007   precision 0.5828730976926852   recall 0.5483987729181897
deviation 1/5   iterations 1860/2000   F1 0.5748290480892737   accuracy 0.7786606129398411   precision 0.5984781541482572   recall 0.5676046844721544
deviation 1/5   iterations 1870/2000   F1 0.5624718890554723   accuracy 0.7593643586833144   precision 0.5916421207658321   recall 0.5579916123019572
deviation 1/5   iterations 1880/2000   F1 0.5909609145130318   accuracy 0.8081725312145289   precision 0.6028780068728522   recall 0.5837429319267118
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deviation 1/5   iterations 1890/2000   F1 0.5341199684293607   accuracy 0.695800227014756   precision 0.5885002454590084   recall 0.5449653297415943
deviation 1/5   iterations 1900/2000   F1 0.573969597790969   accuracy 0.7650397275822929   precision 0.6072164948453609   recall 0.5675794847992573
deviation 1/5   iterations 1910/2000   F1 0.5708645604559943   accuracy 0.8059023836549376   precision 0.5768838978890525   recall 0.566737333276516
deviation 1/5   iterations 1920/2000   F1 0.5727044440299043   accuracy 0.8081725312145289   precision 0.5781725576828669   recall 0.5687865828635608
deviation 1/5   iterations 1930/2000   F1 0.5316931599474547   accuracy 0.7037457434733257   precision 0.5765402552773686   recall 0.5403296731721828
deviation 1/5   iterations 1940/2000   F1 0.5048878240679119   accuracy 0.6549375709421112   precision 0.561186794305351   recall 0.5290378006872852
deviation 1/5   iterations 1950/2000   F1 0.5400164093384052   accuracy 0.7219069239500567   precision 0.5786143838978891   recall 0.5437839204910525
deviation 1/5   iterations 1960/2000   F1 0.5461803945809509   accuracy 0.7275822928490352   precision 0.5859536082474227   recall 0.548307329387907
deviation 1/5   iterations 1970/2000   F1 0.553250515620985   accuracy 0.7468785471055619   precision 0.5845544918998528   recall 0.5513146134366155
deviation 1/5   iterations 1980/2000   F1 0.5794015184375861   accuracy 0.8013620885357549   precision 0.5907768777614139   recall 0.573001381760758
deviation 1/5   iterations 1990/2000   F1 0.5771283090577868   accuracy 0.8059023836549376   precision 0.5851190476190476   recall 0.571956963811421
deviation 1/5   iterations 2000/2000   F1 0.5735451962538146   accuracy 0.8172531214528944   precision 0.5750920471281296   recall 0.5721436151397241

deviation 2/5   iterations 10/2000   F1 0.4587920727352719   accuracy 0.5488636363636363   precision 0.5668509984639016   recall 0.528183023872679
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deviation 2/5   iterations 20/2000   F1 0.5006428291937617   accuracy 0.6193181818181818   precision 0.590384024577573   recall 0.53980753826503
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deviation 2/5   iterations 30/2000   F1 0.29027727289902033   accuracy 0.29659090909090907   precision 0.5347772657450076   recall 0.5217531668921411
deviation 2/5   iterations 40/2000   F1 0.43717985243413904   accuracy 0.5   precision 0.5843932411674347   recall 0.5357833252570094
deviation 2/5   iterations 50/2000   F1 0.33778484366719663   accuracy 0.35454545454545455   precision 0.5553302611367128   recall 0.5289410252289892
deviation 2/5   iterations 60/2000   F1 0.4509194509194509   accuracy 0.5181818181818182   precision 0.5988325652841782   recall 0.5416988557118488
deviation 2/5   iterations 70/2000   F1 0.4511098880939277   accuracy 0.5170454545454546   precision 0.6023041474654378   recall 0.5432018681888947
deviation 2/5   iterations 80/2000   F1 0.3992235309600579   accuracy 0.4340909090909091   precision 0.5963748079877113   recall 0.5439427133820061
deviation 2/5   iterations 90/2000   F1 0.43059329245241607   accuracy 0.48068181818181815   precision 0.6063594470046083   recall 0.5460068890731645
deviation 2/5   iterations 100/2000   F1 0.47578593195275126   accuracy 0.5477272727272727   precision 0.632073732718894   recall 0.5555371823955271
deviation 2/5   iterations 110/2000   F1 0.42476883023610734   accuracy 0.47045454545454546   precision 0.6087864823348694   recall 0.5475861549956728
deviation 2/5   iterations 120/2000   F1 0.4413888593034402   accuracy 0.49204545454545456   precision 0.6251612903225807   recall 0.5539745627980922
deviation 2/5   iterations 130/2000   F1 0.5220311746745943   accuracy 0.615909090909091   precision 0.6625499231950844   recall 0.5694083694083694
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deviation 2/5   iterations 140/2000   F1 0.561617692458814   accuracy 0.6772727272727272   precision 0.6809216589861751   recall 0.5818321281077866
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deviation 2/5   iterations 150/2000   F1 0.5207729468599034   accuracy 0.6125   precision 0.6647311827956989   recall 0.5701465201465201
deviation 2/5   iterations 160/2000   F1 0.5203094531648547   accuracy 0.6102272727272727   precision 0.667557603686636   recall 0.5712069937958263
deviation 2/5   iterations 170/2000   F1 0.5701623656757392   accuracy 0.6886363636363636   precision 0.687373271889401   recall 0.5859154453403654
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deviation 2/5   iterations 180/2000   F1 0.5182594455491871   accuracy 0.6011363636363637   precision 0.678863287250384   recall 0.575531914893617
deviation 2/5   iterations 190/2000   F1 0.48338433074788295   accuracy 0.55   precision 0.6580645161290323   recall 0.566562650396659
deviation 2/5   iterations 200/2000   F1 0.53803046111647   accuracy 0.6363636363636364   precision 0.6782795698924731   recall 0.576938783086461
deviation 2/5   iterations 210/2000   F1 0.5538436411149825   accuracy 0.6613636363636364   precision 0.6842396313364055   recall 0.5813964851702852
deviation 2/5   iterations 220/2000   F1 0.5559927221947577   accuracy 0.6625   precision 0.6890015360983103   recall 0.5834128774730997
deviation 2/5   iterations 230/2000   F1 0.5346513038204973   accuracy 0.6284090909090909   precision 0.6819969278033794   recall 0.5779473684210527
deviation 2/5   iterations 240/2000   F1 0.5604956113319024   accuracy 0.6795454545454546   precision 0.6739784946236559   recall 0.5793266132873128
deviation 2/5   iterations 250/2000   F1 0.5579145763463511   accuracy 0.6704545454545454   precision 0.6811674347158219   recall 0.5811280053269058
deviation 2/5   iterations 260/2000   F1 0.5350036086194453   accuracy 0.6272727272727273   precision 0.6854685099846389   recall 0.5792877368650545
deviation 2/5   iterations 270/2000   F1 0.48568395565336153   accuracy 0.5545454545454546   precision 0.6565284178187404   recall 0.5658503549069177
deviation 2/5   iterations 280/2000   F1 0.5217874835709231   accuracy 0.6090909090909091   precision 0.6751459293394777   recall 0.5742631005788901
deviation 2/5   iterations 290/2000   F1 0.5483426186439099   accuracy 0.6556818181818181   precision 0.6768970814132105   recall 0.5779101989565066
deviation 2/5   iterations 300/2000   F1 0.5376194782242032   accuracy 0.6375   precision 0.6748079877112135   recall 0.5756150198805043
deviation 2/5   iterations 310/2000   F1 0.49671146697169   accuracy 0.5727272727272728   precision 0.6586175115207373   recall 0.5666878497140289
deviation 2/5   iterations 320/2000   F1 0.47456857601251967   accuracy 0.5352272727272728   precision 0.6579109062980031   recall 0.566821282968633
deviation 2/5   iterations 330/2000   F1 0.5235836627140975   accuracy 0.6147727272727272   precision 0.6701382488479263   recall 0.5724489795918367
deviation 2/5   iterations 340/2000   F1 0.5388421967350134   accuracy 0.6409090909090909   precision 0.6726267281105991   recall 0.574976382239444
deviation 2/5   iterations 350/2000   F1 0.541750239424658   accuracy 0.6397727272727273   precision 0.6843317972350231   recall 0.5796110733695652
deviation 2/5   iterations 360/2000   F1 0.5434173531054044   accuracy 0.6420454545454546   precision 0.6856221198156682   recall 0.5802927856094916
deviation 2/5   iterations 370/2000   F1 0.533823025886518   accuracy 0.6272727272727273   precision 0.6813517665130568   recall 0.5776224364739978
deviation 2/5   iterations 380/2000   F1 0.49834162520729675   accuracy 0.575   precision 0.6599078341013824   recall 0.5672414594949333
deviation 2/5   iterations 390/2000   F1 0.4704374066084853   accuracy 0.5295454545454545   precision 0.6546850998463901   recall 0.5655875655875655
deviation 2/5   iterations 400/2000   F1 0.5198261504955946   accuracy 0.6079545454545454   precision 0.670384024577573   recall 0.5722752767989324
deviation 2/5   iterations 410/2000   F1 0.5491772688719254   accuracy 0.6568181818181819   precision 0.677542242703533   recall 0.5782744141947718
deviation 2/5   iterations 420/2000   F1 0.5261065672752434   accuracy 0.625   precision 0.6594777265745008   recall 0.5686237183453104
deviation 2/5   iterations 430/2000   F1 0.5326728661042401   accuracy 0.6306818181818182   precision 0.670937019969278   recall 0.5736072305477944
deviation 2/5   iterations 440/2000   F1 0.5121545199989321   accuracy 0.5988636363636364   precision 0.6611059907834101   recall 0.5681733089275314
deviation 2/5   iterations 450/2000   F1 0.516226872914771   accuracy 0.6045454545454545   precision 0.6643317972350231   recall 0.5696778328357276
deviation 2/5   iterations 460/2000   F1 0.5293329209196824   accuracy 0.6227272727272727   precision 0.6746543778801843   recall 0.5746646983730056
deviation 2/5   iterations 470/2000   F1 0.5053491455419714   accuracy 0.5818181818181818   precision 0.6720122887864823   recall 0.5723463528341577
deviation 2/5   iterations 480/2000   F1 0.5179915455201568   accuracy 0.6136363636363636   precision 0.6530261136712749   recall 0.5654186213889079
deviation 2/5   iterations 490/2000   F1 0.5428756467945302   accuracy 0.65   precision 0.6695545314900153   recall 0.5744527004786342
deviation 2/5   iterations 500/2000   F1 0.516552778263135   accuracy 0.6034090909090909   precision 0.6678033794162826   recall 0.5710620537479965
deviation 2/5   iterations 510/2000   F1 0.4612081131428224   accuracy 0.5193181818181818   precision 0.6406451612903226   recall 0.5597700068935263
deviation 2/5   iterations 520/2000   F1 0.5322558418804261   accuracy 0.6318181818181818   precision 0.6674654377880185   recall 0.5722718088237634
deviation 2/5   iterations 530/2000   F1 0.5219456087275832   accuracy 0.6125   precision 0.6688479262672811   recall 0.5718258614921379
deviation 2/5   iterations 540/2000   F1 0.5314355928732336   accuracy 0.6306818181818182   precision 0.6668202764976958   recall 0.571939586645469
deviation 2/5   iterations 550/2000   F1 0.49752066115702476   accuracy 0.5681818181818182   precision 0.6725038402457757   recall 0.5725171122304016
deviation 2/5   iterations 560/2000   F1 0.5146937859866896   accuracy 0.5977272727272728   precision 0.6728110599078341   recall 0.5729537920408386
deviation 2/5   iterations 570/2000   F1 0.5075821162777685   accuracy 0.5909090909090909   precision 0.6607066052227343   recall 0.5678043873884617
deviation 2/5   iterations 580/2000   F1 0.5168627450980392   accuracy 0.6022727272727273   precision 0.6712749615975422   recall 0.5724496426250811
deviation 2/5   iterations 590/2000   F1 0.5207331730769231   accuracy 0.6045454545454545   precision 0.6807987711213518   recall 0.5764242043311811
deviation 2/5   iterations 600/2000   F1 0.5416966000679886   accuracy 0.6465909090909091   precision 0.6717357910906299   recall 0.5750520934029344
deviation 2/5   iterations 610/2000   F1 0.5458822815165589   accuracy 0.6715909090909091   precision 0.6447619047619049   recall 0.5664725532683279
deviation 2/5   iterations 620/2000   F1 0.5379788175034127   accuracy 0.6647727272727273   precision 0.632657450076805   recall 0.5607402489252999
deviation 2/5   iterations 630/2000   F1 0.524567788898999   accuracy 0.6113636363636363   precision 0.6805529953917051   recall 0.5765557344504713
deviation 2/5   iterations 640/2000   F1 0.4859935007946109   accuracy 0.5522727272727272   precision 0.6634715821812596   recall 0.5688396234714524
deviation 2/5   iterations 650/2000   F1 0.4687034006182943   accuracy 0.5284090909090909   precision 0.6499231950844854   recall 0.5635416666666666
deviation 2/5   iterations 660/2000   F1 0.5002063186809003   accuracy 0.5761363636363637   precision 0.6646697388632872   recall 0.5692377645502645
deviation 2/5   iterations 670/2000   F1 0.517580980226206   accuracy 0.6113636363636363   precision 0.6558525345622119   recall 0.5664732613173578
deviation 2/5   iterations 680/2000   F1 0.5420318567808716   accuracy 0.6704545454545454   precision 0.6358832565284178   recall 0.5626703846655218
deviation 2/5   iterations 690/2000   F1 0.517081736909323   accuracy 0.625   precision 0.6306605222734254   recall 0.5568464330968408
deviation 2/5   iterations 700/2000   F1 0.5050130123668407   accuracy 0.5920454545454545   precision 0.6490015360983103   recall 0.5630053418137224
deviation 2/5   iterations 710/2000   F1 0.5118230358504958   accuracy 0.6   precision 0.6576344086021505   recall 0.5667824176510706
deviation 2/5   iterations 720/2000   F1 0.5073221515326779   accuracy 0.5875   precision 0.6670046082949309   recall 0.5703416149068323
deviation 2/5   iterations 730/2000   F1 0.4887706988872026   accuracy 0.5602272727272727   precision 0.655637480798771   recall 0.5654305552685417
deviation 2/5   iterations 740/2000   F1 0.4856948691811077   accuracy 0.5602272727272727   precision 0.6432872503840246   recall 0.5602272727272727
deviation 2/5   iterations 750/2000   F1 0.5361318765574086   accuracy 0.65   precision 0.6489708141321044   recall 0.5660990517941755
deviation 2/5   iterations 760/2000   F1 0.5232344858647903   accuracy 0.6227272727272727   precision 0.6540706605222735   recall 0.5662970424776983
deviation 2/5   iterations 770/2000   F1 0.5158854166666667   accuracy 0.615909090909091   precision 0.6419662058371736   recall 0.561003300330033
deviation 2/5   iterations 780/2000   F1 0.5083174603174604   accuracy 0.6   precision 0.645284178187404   recall 0.5617121231893514
deviation 2/5   iterations 790/2000   F1 0.5051056516024668   accuracy 0.5954545454545455   precision 0.6427035330261137   recall 0.5605072973494026
deviation 2/5   iterations 800/2000   F1 0.48703788924681696   accuracy 0.5681818181818182   precision 0.631336405529954   recall 0.5552682611506141
deviation 2/5   iterations 810/2000   F1 0.5017896830038602   accuracy 0.5875   precision 0.6464208909370199   recall 0.5618318629994811
deviation 2/5   iterations 820/2000   F1 0.5219770151051074   accuracy 0.6227272727272727   precision 0.6499539170506912   recall 0.564618537484312
deviation 2/5   iterations 830/2000   F1 0.5569280343716434   accuracy 0.6931818181818182   precision 0.6446697388632873   recall 0.5691722829056766
deviation 2/5   iterations 840/2000   F1 0.5499985595344414   accuracy 0.6772727272727272   precision 0.6479877112135177   recall 0.5684579133766507
deviation 2/5   iterations 850/2000   F1 0.5290969899665552   accuracy 0.6363636363636364   precision 0.6494623655913978   recall 0.5652582159624413
deviation 2/5   iterations 860/2000   F1 0.5319116600694948   accuracy 0.65   precision 0.636620583717358   recall 0.5610345262996086
deviation 2/5   iterations 870/2000   F1 0.5031244513823978   accuracy 0.5943181818181819   precision 0.637941628264209   recall 0.5585135219666799
deviation 2/5   iterations 880/2000   F1 0.5165311544505284   accuracy 0.6261363636363636   precision 0.627188940092166   recall 0.5554828887554679
deviation 2/5   iterations 890/2000   F1 0.5039142732491164   accuracy 0.6079545454545454   precision 0.6168663594470045   recall 0.5503238506477013
deviation 2/5   iterations 900/2000   F1 0.5362502753910553   accuracy 0.6602272727272728   precision 0.6341935483870967   recall 0.5609375
deviation 2/5   iterations 910/2000   F1 0.5393522802379379   accuracy 0.6625   precision 0.6396006144393241   recall 0.5633928571428571
deviation 2/5   iterations 920/2000   F1 0.5401649531126427   accuracy 0.6636363636363637   precision 0.6402457757296467   recall 0.5637715901407585
deviation 2/5   iterations 930/2000   F1 0.542170252708632   accuracy 0.675   precision 0.6302304147465438   recall 0.5608076704594357
deviation 2/5   iterations 940/2000   F1 0.5721993321591661   accuracy 0.7227272727272728   precision 0.6449769585253455   recall 0.5743707093821511
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deviation 2/5   iterations 950/2000   F1 0.5661325164987259   accuracy 0.7170454545454545   precision 0.6376344086021506   recall 0.5701121794871795
deviation 2/5   iterations 960/2000   F1 0.5282238126219909   accuracy 0.6488636363636363   precision 0.6277419354838709   recall 0.5572727272727273
deviation 2/5   iterations 970/2000   F1 0.5197269191077241   accuracy 0.625   precision 0.6388940092165898   recall 0.5602250747318446
deviation 2/5   iterations 980/2000   F1 0.5475254176557531   accuracy 0.6738636363636363   precision 0.64605222734255   recall 0.5672608941709112
deviation 2/5   iterations 990/2000   F1 0.5383808358104564   accuracy 0.6590909090909091   precision 0.6417818740399386   recall 0.563963963963964
deviation 2/5   iterations 1000/2000   F1 0.5618940670035562   accuracy 0.6977272727272728   precision 0.6513671274961598   recall 0.5726374760430488
deviation 2/5   iterations 1010/2000   F1 0.5676273494756939   accuracy 0.7011363636363637   precision 0.6615360983102918   recall 0.5773763273763274
deviation 2/5   iterations 1020/2000   F1 0.5592771168946852   accuracy 0.6920454545454545   precision 0.652258064516129   recall 0.5721624266144815
deviation 2/5   iterations 1030/2000   F1 0.5503421309872922   accuracy 0.6863636363636364   precision 0.6366820276497696   recall 0.5648924439465808
deviation 2/5   iterations 1040/2000   F1 0.5349511947443681   accuracy 0.6522727272727272   precision 0.6420276497695853   recall 0.5634501045835598
deviation 2/5   iterations 1050/2000   F1 0.5379788175034127   accuracy 0.6647727272727273   precision 0.632657450076805   recall 0.5607402489252999
deviation 2/5   iterations 1060/2000   F1 0.5141549595572584   accuracy 0.6227272727272727   precision 0.6252534562211982   recall 0.5544939825384011
deviation 2/5   iterations 1070/2000   F1 0.518336070060208   accuracy 0.6306818181818182   precision 0.6256528417818741   recall 0.5551212938005391
deviation 2/5   iterations 1080/2000   F1 0.5213298750920391   accuracy 0.6272727272727273   precision 0.640184331797235   recall 0.5608857861111556
deviation 2/5   iterations 1090/2000   F1 0.5478993197939765   accuracy 0.6875   precision 0.6290937019969278   recall 0.5618363118363118
deviation 2/5   iterations 1100/2000   F1 0.5602777193351567   accuracy 0.6977272727272728   precision 0.6472503840245776   recall 0.5709229303170742
deviation 2/5   iterations 1110/2000   F1 0.5536005213424569   accuracy 0.6886363636363636   precision 0.642089093701997   recall 0.567459553439635
deviation 2/5   iterations 1120/2000   F1 0.5536653542123772   accuracy 0.6931818181818182   precision 0.6364362519201229   recall 0.5657143195364336
deviation 2/5   iterations 1130/2000   F1 0.5586592603287259   accuracy 0.7   precision 0.6403072196620584   recall 0.5683555747136759
deviation 2/5   iterations 1140/2000   F1 0.5517602996254681   accuracy 0.6715909090909091   precision 0.6612288786482334   recall 0.5732142857142857
deviation 2/5   iterations 1150/2000   F1 0.5428937974118697   accuracy 0.6613636363636364   precision 0.6513056835637481   recall 0.5680884361641533
deviation 2/5   iterations 1160/2000   F1 0.5551915229598802   accuracy 0.6886363636363636   precision 0.646205837173579   recall 0.5691751312568681
deviation 2/5   iterations 1170/2000   F1 0.5502941176470588   accuracy 0.6840909090909091   precision 0.6395084485407067   recall 0.565782992901637
deviation 2/5   iterations 1180/2000   F1 0.5510458590782834   accuracy 0.6829545454545455   precision 0.6429800307219662   recall 0.5670852648815702
deviation 2/5   iterations 1190/2000   F1 0.5536460198114334   accuracy 0.6909090909090909   precision 0.63926267281106   recall 0.5665869523065262
deviation 2/5   iterations 1200/2000   F1 0.5780112472208903   accuracy 0.7375   precision 0.6410138248847925   recall 0.5759109311740891
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deviation 2/5   iterations 1210/2000   F1 0.5659098276323763   accuracy 0.7215909090909091   precision 0.6319815668202764   recall 0.5685228664761127
deviation 2/5   iterations 1220/2000   F1 0.5593819345813875   accuracy 0.7079545454545455   precision 0.6324731182795699   recall 0.5662878787878788
deviation 2/5   iterations 1230/2000   F1 0.5752294875956026   accuracy 0.7363636363636363   precision 0.6362519201228878   recall 0.5735484341729077
deviation 2/5   iterations 1240/2000   F1 0.5753841585628388   accuracy 0.7340909090909091   precision 0.6390783410138249   recall 0.574266196822647
deviation 2/5   iterations 1250/2000   F1 0.5577108548297268   accuracy 0.7056818181818182   precision 0.6311827956989247   recall 0.5653608777644437
deviation 2/5   iterations 1260/2000   F1 0.562002750780781   accuracy 0.7022727272727273   precision 0.6457142857142857   recall 0.570989816261652
deviation 2/5   iterations 1270/2000   F1 0.5815449070437286   accuracy 0.7420454545454546   precision 0.643594470046083   recall 0.5781605351170569
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deviation 2/5   iterations 1280/2000   F1 0.5661325164987259   accuracy 0.7170454545454545   precision 0.6376344086021506   recall 0.5701121794871795
deviation 2/5   iterations 1290/2000   F1 0.5653503304560529   accuracy 0.7136363636363636   precision 0.6398156682027649   recall 0.5704231890516778
deviation 2/5   iterations 1300/2000   F1 0.5688119774450711   accuracy 0.7136363636363636   precision 0.6480491551459293   recall 0.5739223807332413
deviation 2/5   iterations 1310/2000   F1 0.5594381599005473   accuracy 0.696590909090909   precision 0.646605222734255   recall 0.5704816145193308
deviation 2/5   iterations 1320/2000   F1 0.5700302194192617   accuracy 0.7295454545454545   precision 0.6323809523809524   recall 0.5703170386229676
deviation 2/5   iterations 1330/2000   F1 0.5561468522018503   accuracy 0.6988636363636364   precision 0.6355453149001536   recall 0.566165178999904
deviation 2/5   iterations 1340/2000   F1 0.5800914806407238   accuracy 0.7284090909090909   precision 0.6564362519201229   recall 0.580439288241836
deviation 2/5   iterations 1350/2000   F1 0.5824340099604437   accuracy 0.7431818181818182   precision 0.6442396313364055   recall 0.5787334232185619
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deviation 2/5   iterations 1360/2000   F1 0.5651862064568572   accuracy 0.7181818181818181   precision 0.634162826420891   recall 0.5688232438804521
deviation 2/5   iterations 1370/2000   F1 0.5601246890645171   accuracy 0.7113636363636363   precision 0.6302918586789554   recall 0.565919957224305
deviation 2/5   iterations 1380/2000   F1 0.5601246890645171   accuracy 0.7113636363636363   precision 0.6302918586789554   recall 0.565919957224305
deviation 2/5   iterations 1390/2000   F1 0.57175496333688   accuracy 0.7318181818181818   precision 0.6336712749615976   recall 0.5713788872046249
deviation 2/5   iterations 1400/2000   F1 0.5776735257368408   accuracy 0.7420454545454546   precision 0.6353609831029186   recall 0.5745243701117696
deviation 2/5   iterations 1410/2000   F1 0.5743576649457464   accuracy 0.7352272727272727   precision 0.6356067588325653   recall 0.5730001852292874
deviation 2/5   iterations 1420/2000   F1 0.5495420033467912   accuracy 0.6875   precision 0.6332104454685099   recall 0.5635792042042042
deviation 2/5   iterations 1430/2000   F1 0.5856909613939305   accuracy 0.7522727272727273   precision 0.6411674347158218   recall 0.5798458341152838
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deviation 2/5   iterations 1440/2000   F1 0.5569425654900997   accuracy 0.7022727272727273   precision 0.6333640552995392   recall 0.5657571846654427
deviation 2/5   iterations 1450/2000   F1 0.559486067078258   accuracy 0.7034090909090909   precision 0.638125960061444   recall 0.5679663312693498
deviation 2/5   iterations 1460/2000   F1 0.581643245317911   accuracy 0.7522727272727273   precision 0.6329339477726574   recall 0.576141506711433
deviation 2/5   iterations 1470/2000   F1 0.5896330141780253   accuracy 0.7522727272727273   precision 0.6494009216589862   recall 0.5834769532886108
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deviation 2/5   iterations 1480/2000   F1 0.5722341046082053   accuracy 0.7159090909090909   precision 0.6534562211981567   recall 0.5766221813161528
deviation 2/5   iterations 1490/2000   F1 0.5745736752487786   accuracy 0.7431818181818182   precision 0.6277726574500768   recall 0.5713922781672491
deviation 2/5   iterations 1500/2000   F1 0.5825381314340305   accuracy 0.7534090909090909   precision 0.6335791090629801   recall 0.5767568636312281
deviation 2/5   iterations 1510/2000   F1 0.5985767721923183   accuracy 0.7784090909090909   precision 0.6395391705069124   recall 0.5879659756437668
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deviation 2/5   iterations 1520/2000   F1 0.5655656270804528   accuracy 0.7261363636363637   precision 0.6263287250384024   recall 0.5669270833333333
deviation 2/5   iterations 1530/2000   F1 0.5611605052039188   accuracy 0.7011363636363637   precision 0.6450691244239631   recall 0.5705382537823562
deviation 2/5   iterations 1540/2000   F1 0.552818061504269   accuracy 0.6897727272727273   precision 0.6386175115207373   recall 0.5661599099099099
deviation 2/5   iterations 1550/2000   F1 0.5761034801303719   accuracy 0.7375   precision 0.6368970814132104   recall 0.5741006811409111
deviation 2/5   iterations 1560/2000   F1 0.5676147840803625   accuracy 0.7238636363636364   precision 0.6332718894009216   recall 0.5695352773717012
deviation 2/5   iterations 1570/2000   F1 0.57175496333688   accuracy 0.7318181818181818   precision 0.6336712749615976   recall 0.5713788872046249
deviation 2/5   iterations 1580/2000   F1 0.5925596281612141   accuracy 0.7659090909090909   precision 0.6406758832565285   recall 0.5838773730757113
deviation 2/5   iterations 1590/2000   F1 0.5948434622467772   accuracy 0.7636363636363637   precision 0.6476190476190476   recall 0.5862279360567364
deviation 2/5   iterations 1600/2000   F1 0.5803242948630604   accuracy 0.7454545454545455   precision 0.6372964669738863   recall 0.5762570728477725
deviation 2/5   iterations 1610/2000   F1 0.5694534208761938   accuracy 0.7238636363636364   precision 0.6373886328725038   recall 0.5713301347488771
deviation 2/5   iterations 1620/2000   F1 0.5726204278342313   accuracy 0.7329545454545454   precision 0.6343164362519201   recall 0.5719154647857669
deviation 2/5   iterations 1630/2000   F1 0.5886038963957889   accuracy 0.7636363636363637   precision 0.6352688172043011   recall 0.5806534338616197
deviation 2/5   iterations 1640/2000   F1 0.5967074527252503   accuracy 0.7659090909090909   precision 0.6489093701996929   recall 0.5875700090334237
deviation 2/5   iterations 1650/2000   F1 0.5792605184870379   accuracy 0.7545454545454545   precision 0.6259907834101383   recall 0.5735943321058639
deviation 2/5   iterations 1660/2000   F1 0.5972301603747162   accuracy 0.7715909090909091   precision 0.6439016897081413   recall 0.5873463420455902
deviation 2/5   iterations 1670/2000   F1 0.5803242948630604   accuracy 0.7454545454545455   precision 0.6372964669738863   recall 0.5762570728477725
deviation 2/5   iterations 1680/2000   F1 0.5894919617481146   accuracy 0.7545454545454545   precision 0.6465745007680491   recall 0.582904129393693
deviation 2/5   iterations 1690/2000   F1 0.5785547785547785   accuracy 0.7431818181818182   precision 0.6360061443932412   recall 0.57509754028838
deviation 2/5   iterations 1700/2000   F1 0.5583550980693399   accuracy 0.7215909090909091   precision 0.6155145929339478   recall 0.5611979166666666
deviation 2/5   iterations 1710/2000   F1 0.5704761904761905   accuracy 0.7204545454545455   precision 0.6436866359447004   recall 0.573364705882353
deviation 2/5   iterations 1720/2000   F1 0.5939158024424225   accuracy 0.7625   precision 0.6469738863287251   recall 0.5855654761904762
deviation 2/5   iterations 1730/2000   F1 0.5843947970248773   accuracy 0.7693181818181818   precision 0.6220276497695852   recall 0.5763282499077604
deviation 2/5   iterations 1740/2000   F1 0.5916345155816003   accuracy 0.7647727272727273   precision 0.6400307219662058   recall 0.5832019042612226
deviation 2/5   iterations 1750/2000   F1 0.6004324801633592   accuracy 0.7943181818181818   precision 0.6279877112135177   recall 0.589540561917535
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deviation 2/5   iterations 1760/2000   F1 0.5867703028678639   accuracy 0.7511363636363636   precision 0.6446390168970815   recall 0.581060606060606
deviation 2/5   iterations 1770/2000   F1 0.5963483165890022   accuracy 0.7784090909090909   precision 0.6354224270353303   recall 0.5860507246376812
deviation 2/5   iterations 1780/2000   F1 0.6028712547902034   accuracy 0.7943181818181818   precision 0.6321044546850999   recall 0.5915485761002861
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deviation 2/5   iterations 1790/2000   F1 0.5867768595041323   accuracy 0.7613636363636364   precision 0.633978494623656   recall 0.5793307186879234
deviation 2/5   iterations 1800/2000   F1 0.5950910976355133   accuracy 0.7715909090909091   precision 0.6397849462365591   recall 0.5854723332632021
deviation 2/5   iterations 1810/2000   F1 0.6019790282085363   accuracy 0.7772727272727272   precision 0.6471274961597542   recall 0.5909771350846131
deviation 2/5   iterations 1820/2000   F1 0.6296204600034662   accuracy 0.8261363636363637   precision 0.64605222734255   recall 0.618892801408507
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deviation 2/5   iterations 1830/2000   F1 0.6208835169422361   accuracy 0.8170454545454545   precision 0.6408909370199694   recall 0.6094030306500248
deviation 2/5   iterations 1840/2000   F1 0.6058419140220028   accuracy 0.7977272727272727   precision 0.6340399385560676   recall 0.5942259349165075
deviation 2/5   iterations 1850/2000   F1 0.6107401283497851   accuracy 0.7875   precision 0.6529339477726575   recall 0.5979643565603452
deviation 2/5   iterations 1860/2000   F1 0.6060009825774022   accuracy 0.7897727272727273   precision 0.6418740399385561   recall 0.5939809840122432
deviation 2/5   iterations 1870/2000   F1 0.6202265167782409   accuracy 0.8136363636363636   precision 0.6430721966205837   recall 0.6080500412989207
deviation 2/5   iterations 1880/2000   F1 0.6036914148557295   accuracy 0.7897727272727273   precision 0.6377572964669739   recall 0.5920542635658914
deviation 2/5   iterations 1890/2000   F1 0.5734146861689408   accuracy 0.7443181818181818   precision 0.6243010752688172   recall 0.5700892485933646
deviation 2/5   iterations 1900/2000   F1 0.6116475806511934   accuracy 0.7988636363636363   precision 0.6429185867895546   recall 0.5990427851205886
deviation 2/5   iterations 1910/2000   F1 0.6164102564102565   accuracy 0.8068181818181818   precision 0.6433179723502304   recall 0.6037819799777531
deviation 2/5   iterations 1920/2000   F1 0.6129221445677142   accuracy 0.8056818181818182   precision 0.6385560675883256   recall 0.6008461235733963
deviation 2/5   iterations 1930/2000   F1 0.6007733271913845   accuracy 0.7784090909090909   precision 0.6436559139784946   recall 0.5898567211905055
deviation 2/5   iterations 1940/2000   F1 0.5905440900562852   accuracy 0.7534090909090909   precision 0.6500460829493087   recall 0.5840909090909091
deviation 2/5   iterations 1950/2000   F1 0.6167557932263815   accuracy 0.8045454545454546   precision 0.6461443932411675   recall 0.6037386927659871
deviation 2/5   iterations 1960/2000   F1 0.6109282561248622   accuracy 0.7852272727272728   precision 0.6557603686635944   recall 0.5981918750581017
deviation 2/5   iterations 1970/2000   F1 0.5854813806819669   accuracy 0.7545454545454545   precision 0.6383410138248848   recall 0.5792385497392148
deviation 2/5   iterations 1980/2000   F1 0.5929216981848561   accuracy 0.7715909090909091   precision 0.6356682027649769   recall 0.5835755813953488
deviation 2/5   iterations 1990/2000   F1 0.599818099135971   accuracy 0.7772727272727272   precision 0.6430107526881721   recall 0.5891086455485877
deviation 2/5   iterations 2000/2000   F1 0.6102706565610814   accuracy 0.8   precision 0.639447004608295   recall 0.5980269352706917

deviation 3/5   iterations 10/2000   F1 0.4876085626911315   accuracy 0.8647727272727272   precision 0.5033179723502303   recall 0.5156976744186046
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deviation 3/5   iterations 20/2000   F1 0.443856496722254   accuracy 0.5215909090909091   precision 0.5637173579109063   recall 0.5267870058481949
deviation 3/5   iterations 30/2000   F1 0.5660273972602741   accuracy 0.7545454545454545   precision 0.6012903225806452   recall 0.5617069062324537
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deviation 3/5   iterations 40/2000   F1 0.44921421445976223   accuracy 0.5215909090909091   precision 0.5843010752688171   recall 0.5354808010592519
deviation 3/5   iterations 50/2000   F1 0.5051731893837157   accuracy 0.6136363636363636   precision 0.6118586789554532   recall 0.5485024324482739
deviation 3/5   iterations 60/2000   F1 0.4476421960763365   accuracy 0.5193181818181818   precision 0.583010752688172   recall 0.5349500196610029
deviation 3/5   iterations 70/2000   F1 0.4911848880102848   accuracy 0.5931818181818181   precision 0.6002457757296467   recall 0.5429073369836787
deviation 3/5   iterations 80/2000   F1 0.4693194524773472   accuracy 0.5556818181818182   precision 0.591305683563748   recall 0.5384575569358179
deviation 3/5   iterations 90/2000   F1 0.5246299853123941   accuracy 0.6522727272727272   precision 0.61321044546851   recall 0.5514782715594074
deviation 3/5   iterations 100/2000   F1 0.5188462731668355   accuracy 0.6375   precision 0.617173579109063   recall 0.5520480796523941
deviation 3/5   iterations 110/2000   F1 0.5511817988485954   accuracy 0.6920454545454545   precision 0.6316743471582181   recall 0.5635392205697479
deviation 3/5   iterations 120/2000   F1 0.5528311688311688   accuracy 0.6943181818181818   precision 0.6329646697388633   recall 0.5644047619047619
deviation 3/5   iterations 130/2000   F1 0.5731022752698306   accuracy 0.7215909090909091   precision 0.6484485407066052   recall 0.5756209935897436
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deviation 3/5   iterations 140/2000   F1 0.5713368286480607   accuracy 0.7215909090909091   precision 0.6443317972350231   recall 0.5738660662624839
deviation 3/5   iterations 150/2000   F1 0.5181182901036407   accuracy 0.6284090909090909   precision 0.6284792626728111   recall 0.5561480956370433
deviation 3/5   iterations 160/2000   F1 0.4955630577847592   accuracy 0.5886363636363636   precision 0.6223655913978494   recall 0.5519293250100391
deviation 3/5   iterations 170/2000   F1 0.5783171731632719   accuracy 0.7238636363636364   precision 0.6579723502304147   recall 0.5801054363269273
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deviation 3/5   iterations 180/2000   F1 0.5809061998173746   accuracy 0.725   precision 0.6627342549923195   recall 0.5823338866817128
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deviation 3/5   iterations 190/2000   F1 0.5845136921624173   accuracy 0.7363636363636363   precision 0.6568356374807988   recall 0.5824498840371856
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deviation 3/5   iterations 200/2000   F1 0.5566459300797336   accuracy 0.6863636363636364   precision 0.6531490015360983   recall 0.571739418255919
deviation 3/5   iterations 210/2000   F1 0.5711720526137154   accuracy 0.7079545454545455   precision 0.6612903225806451   recall 0.5784256315877531
deviation 3/5   iterations 220/2000   F1 0.581496991576414   accuracy 0.7193181818181819   precision 0.6718586789554533   recall 0.5849119611414693
deviation 3/5   iterations 230/2000   F1 0.5633756924079505   accuracy 0.6954545454545454   precision 0.658310291858679   recall 0.5751608819187977
deviation 3/5   iterations 240/2000   F1 0.5400072970166427   accuracy 0.6613636363636364   precision 0.6430721966205837   recall 0.5647125523175347
deviation 3/5   iterations 250/2000   F1 0.5962791585966093   accuracy 0.7488636363636364   precision 0.6680491551459293   recall 0.5904646608980975
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deviation 3/5   iterations 260/2000   F1 0.5503146488999224   accuracy 0.6715909090909091   precision 0.6571121351766513   recall 0.5715380827681908
deviation 3/5   iterations 270/2000   F1 0.5328547338313582   accuracy 0.6397727272727273   precision 0.6555145929339479   recall 0.5679630942407252
deviation 3/5   iterations 280/2000   F1 0.5666971479279055   accuracy 0.6897727272727273   precision 0.675668202764977   recall 0.581386213021794
deviation 3/5   iterations 290/2000   F1 0.5701962670193261   accuracy 0.7045454545454546   precision 0.6634715821812596   recall 0.578735846488035
deviation 3/5   iterations 300/2000   F1 0.5788635441312721   accuracy 0.7159090909090909   precision 0.6699231950844855   recall 0.5834434648273199
deviation 3/5   iterations 310/2000   F1 0.583483085383218   accuracy 0.7261363636363637   precision 0.6674961597542243   recall 0.5845533498759306
deviation 3/5   iterations 320/2000   F1 0.5845170454545454   accuracy 0.7340909090909091   precision 0.6596620583717359   recall 0.5830982852684025
deviation 3/5   iterations 330/2000   F1 0.5556673585988103   accuracy 0.6829545454545455   precision 0.6553302611367128   recall 0.5721856725146199
deviation 3/5   iterations 340/2000   F1 0.5371767436486821   accuracy 0.6534090909090909   precision 0.64678955453149   recall 0.56550086639907
deviation 3/5   iterations 350/2000   F1 0.5521676478623505   accuracy 0.6761363636363636   precision 0.6555760368663595   recall 0.5714382448537378
deviation 3/5   iterations 360/2000   F1 0.5442435115033664   accuracy 0.6693181818181818   precision 0.6434715821812595   recall 0.565691746753393
deviation 3/5   iterations 370/2000   F1 0.5763639955426927   accuracy 0.7147727272727272   precision 0.6651612903225806   recall 0.5812693498452013
deviation 3/5   iterations 380/2000   F1 0.6103717459334914   accuracy 0.7659090909090909   precision 0.6777265745007681   recall 0.5999074323530834
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deviation 3/5   iterations 390/2000   F1 0.566634082763115   accuracy 0.6977272727272728   precision 0.6637173579109064   recall 0.5777279914118519
deviation 3/5   iterations 400/2000   F1 0.5691983522916585   accuracy 0.7011363636363637   precision 0.6656528417818741   recall 0.5790634384384384
deviation 3/5   iterations 410/2000   F1 0.5673238938639766   accuracy 0.696590909090909   precision 0.6671889400921659   recall 0.5789684474472383
deviation 3/5   iterations 420/2000   F1 0.5371767436486821   accuracy 0.6534090909090909   precision 0.64678955453149   recall 0.56550086639907
deviation 3/5   iterations 430/2000   F1 0.5179446000399872   accuracy 0.6170454545454546   precision 0.6467281105990783   recall 0.5630065856129686
deviation 3/5   iterations 440/2000   F1 0.5385781169657113   accuracy 0.6477272727272727   precision 0.6600307219662058   recall 0.570410541170364
deviation 3/5   iterations 450/2000   F1 0.5622249555828893   accuracy 0.6897727272727273   precision 0.6633179723502305   recall 0.5763793103448276
deviation 3/5   iterations 460/2000   F1 0.583605359463814   accuracy 0.7306818181818182   precision 0.6618433179723502   recall 0.583219593569912
deviation 3/5   iterations 470/2000   F1 0.5509287609716269   accuracy 0.6704545454545454   precision 0.660583717357911   recall 0.5728241909506852
deviation 3/5   iterations 480/2000   F1 0.5472026395497488   accuracy 0.6693181818181818   precision 0.6517050691244239   recall 0.5690760760088632
deviation 3/5   iterations 490/2000   F1 0.5650719801413591   accuracy 0.6977272727272728   precision 0.6596006144393242   recall 0.5760396723634214
deviation 3/5   iterations 500/2000   F1 0.5616850773692249   accuracy 0.6931818181818182   precision 0.6570199692780339   recall 0.5742916780529214
deviation 3/5   iterations 510/2000   F1 0.5320401337792642   accuracy 0.6386363636363637   precision 0.6548694316436252   recall 0.5676190476190476
deviation 3/5   iterations 520/2000   F1 0.5601173020527859   accuracy 0.6931818181818182   precision 0.6529032258064515   recall 0.5725937724257435
deviation 3/5   iterations 530/2000   F1 0.5722341046082053   accuracy 0.7159090909090909   precision 0.6534562211981567   recall 0.5766221813161528
deviation 3/5   iterations 540/2000   F1 0.5844937417971126   accuracy 0.7318181818181818   precision 0.6624884792626728   recall 0.5837508471677677
deviation 3/5   iterations 550/2000   F1 0.5618018446537001   accuracy 0.6954545454545454   precision 0.6541935483870968   recall 0.5734635448685297
deviation 3/5   iterations 560/2000   F1 0.5413337890374674   accuracy 0.6534090909090909   precision 0.6591397849462366   recall 0.5705337690631809
deviation 3/5   iterations 570/2000   F1 0.5720332221369463   accuracy 0.7090909090909091   precision 0.6619354838709677   recall 0.5788925409055804
deviation 3/5   iterations 580/2000   F1 0.5515070597440259   accuracy 0.6772727272727272   precision 0.6521044546850998   recall 0.5701517238252314
deviation 3/5   iterations 590/2000   F1 0.5379907294192416   accuracy 0.6545454545454545   precision 0.6474347158218126   recall 0.565865682867511
deviation 3/5   iterations 600/2000   F1 0.5412557082386305   accuracy 0.6590909090909091   precision 0.650015360983103   recall 0.5673409495859972
deviation 3/5   iterations 610/2000   F1 0.5808697937196163   accuracy 0.7363636363636363   precision 0.6486021505376345   recall 0.5789332828543268
deviation 3/5   iterations 620/2000   F1 0.5662002258555506   accuracy 0.7147727272727272   precision 0.6404608294930876   recall 0.5709057071960297
deviation 3/5   iterations 630/2000   F1 0.5687972158560393   accuracy 0.7113636363636363   precision 0.6508755760368663   recall 0.5746992863183641
deviation 3/5   iterations 640/2000   F1 0.49937515154906464   accuracy 0.5840909090909091   precision 0.6444854070660522   recall 0.5609604346946923
deviation 3/5   iterations 650/2000   F1 0.5420742754411398   accuracy 0.6602272727272728   precision 0.6506605222734254   recall 0.5677138564863909
deviation 3/5   iterations 660/2000   F1 0.5747322361942659   accuracy 0.7284090909090909   precision 0.6440860215053763   recall 0.5751776050883537
deviation 3/5   iterations 670/2000   F1 0.5939158024424225   accuracy 0.7625   precision 0.6469738863287251   recall 0.5855654761904762
deviation 3/5   iterations 680/2000   F1 0.5792045390618094   accuracy 0.7295454545454545   precision 0.6529646697388634   recall 0.5792233911875713
deviation 3/5   iterations 690/2000   F1 0.5601173020527859   accuracy 0.6931818181818182   precision 0.6529032258064515   recall 0.5725937724257435
deviation 3/5   iterations 700/2000   F1 0.5780112472208903   accuracy 0.7375   precision 0.6410138248847925   recall 0.5759109311740891
deviation 3/5   iterations 710/2000   F1 0.5778580780308982   accuracy 0.7397727272727272   precision 0.6381874039938555   recall 0.5752173913043479
deviation 3/5   iterations 720/2000   F1 0.5628465223572942   accuracy 0.7034090909090909   precision 0.6463594470046083   recall 0.571443996544774
deviation 3/5   iterations 730/2000   F1 0.5519447457552078   accuracy 0.6863636363636364   precision 0.6407987711213519   recall 0.5666168578588415
deviation 3/5   iterations 740/2000   F1 0.5544861402640545   accuracy 0.696590909090909   precision 0.6342549923195084   recall 0.5652800019120916
deviation 3/5   iterations 750/2000   F1 0.547751742873694   accuracy 0.678409090909091   precision 0.6403993855606759   recall 0.5654517747886065
deviation 3/5   iterations 760/2000   F1 0.5312262561389622   accuracy 0.6375   precision 0.6542242703533026   recall 0.5672763530319924
deviation 3/5   iterations 770/2000   F1 0.5405123164813563   accuracy 0.6522727272727272   precision 0.6584946236559139   recall 0.5701717637201508
deviation 3/5   iterations 780/2000   F1 0.5729884098498056   accuracy 0.7125   precision 0.6597542242703534   recall 0.578608746130031
deviation 3/5   iterations 790/2000   F1 0.5722341046082053   accuracy 0.7159090909090909   precision 0.6534562211981567   recall 0.5766221813161528
deviation 3/5   iterations 800/2000   F1 0.5858681794457136   accuracy 0.75   precision 0.6439938556067588   recall 0.5804557845082704
deviation 3/5   iterations 810/2000   F1 0.5756562317713397   accuracy 0.7181818181818181   precision 0.6588632872503841   recall 0.5793219818990643
deviation 3/5   iterations 820/2000   F1 0.5767945732509872   accuracy 0.740909090909091   precision 0.634715821812596   recall 0.5739555153780249
deviation 3/5   iterations 830/2000   F1 0.5834356043339528   accuracy 0.7545454545454545   precision 0.6342242703533025   recall 0.5773772837722002
deviation 3/5   iterations 840/2000   F1 0.5730637229945434   accuracy 0.7238636363636364   precision 0.6456221198156682   recall 0.574878677585684
deviation 3/5   iterations 850/2000   F1 0.5705122245979363   accuracy 0.7136363636363636   precision 0.6521658986175115   recall 0.5756548197298239
deviation 3/5   iterations 860/2000   F1 0.5637068011314721   accuracy 0.7068181818181818   precision 0.6441781874039938   recall 0.5710892576906065
deviation 3/5   iterations 870/2000   F1 0.564903748733536   accuracy 0.7227272727272728   precision 0.6285099846390169   recall 0.5672183834163587
deviation 3/5   iterations 880/2000   F1 0.5798611111111112   accuracy 0.75   precision 0.6316436251920123   recall 0.5749256863087953
deviation 3/5   iterations 890/2000   F1 0.5713309265944645   accuracy 0.7125   precision 0.6556374807987712   recall 0.5768973891924711
deviation 3/5   iterations 900/2000   F1 0.5773988005997002   accuracy 0.7204545454545455   precision 0.6601536098310292   recall 0.5803131798041548
deviation 3/5   iterations 910/2000   F1 0.5746373220262242   accuracy 0.7306818181818182   precision 0.6412596006144393   recall 0.5744514106583072
deviation 3/5   iterations 920/2000   F1 0.5634920634920635   accuracy 0.7159090909090909   precision 0.6328725038402458   recall 0.567843137254902
deviation 3/5   iterations 930/2000   F1 0.5801093572681316   accuracy 0.7477272727272727   precision 0.6344700460829493   recall 0.5755911549540961
deviation 3/5   iterations 940/2000   F1 0.57175496333688   accuracy 0.7318181818181818   precision 0.6336712749615976   recall 0.5713788872046249
deviation 3/5   iterations 950/2000   F1 0.5577108548297268   accuracy 0.7056818181818182   precision 0.6311827956989247   recall 0.5653608777644437
deviation 3/5   iterations 960/2000   F1 0.5698425849212925   accuracy 0.7318181818181818   precision 0.6295545314900154   recall 0.569553026554511
deviation 3/5   iterations 970/2000   F1 0.5698425849212925   accuracy 0.7318181818181818   precision 0.6295545314900154   recall 0.569553026554511
deviation 3/5   iterations 980/2000   F1 0.5722141202169233   accuracy 0.7375   precision 0.628663594470046   recall 0.5704310623183726
deviation 3/5   iterations 990/2000   F1 0.5596590909090909   accuracy 0.7181818181818181   precision 0.6218125960061445   recall 0.5633990188741997
deviation 3/5   iterations 1000/2000   F1 0.5534690589073782   accuracy 0.7022727272727273   precision 0.6251305683563748   recall 0.5622132204238992
deviation 3/5   iterations 1010/2000   F1 0.5525240658589189   accuracy 0.7034090909090909   precision 0.6216589861751152   recall 0.5608766233766234
deviation 3/5   iterations 1020/2000   F1 0.5644965728849627   accuracy 0.7272727272727273   precision 0.6228571428571429   recall 0.5656042679685808
deviation 3/5   iterations 1030/2000   F1 0.5647161743424548   accuracy 0.725   precision 0.6256835637480799   recall 0.5664127689140839
deviation 3/5   iterations 1040/2000   F1 0.5591906451189068   accuracy 0.7227272727272728   precision 0.6161597542242703   recall 0.5617007943916084
deviation 3/5   iterations 1050/2000   F1 0.5754194499751966   accuracy 0.7579545454545454   precision 0.6155760368663594   recall 0.5696480938416422
deviation 3/5   iterations 1060/2000   F1 0.5776103972825285   accuracy 0.7636363636363637   precision 0.6146850998463902   recall 0.5709161923722824
deviation 3/5   iterations 1070/2000   F1 0.5675432272757778   accuracy 0.7420454545454546   precision 0.6147772657450077   recall 0.5651215975011156
deviation 3/5   iterations 1080/2000   F1 0.5813621587335148   accuracy 0.7545454545454545   precision 0.6301075268817204   recall 0.5754961173425367
deviation 3/5   iterations 1090/2000   F1 0.5586427434742931   accuracy 0.6977272727272728   precision 0.6431336405529954   recall 0.5691989614957313
deviation 3/5   iterations 1100/2000   F1 0.5675432272757778   accuracy 0.7420454545454546   precision 0.6147772657450077   recall 0.5651215975011156
deviation 3/5   iterations 1110/2000   F1 0.559845065463043   accuracy 0.7159090909090909   precision 0.6246390168970815   recall 0.564242236142869
deviation 3/5   iterations 1120/2000   F1 0.5628499799942399   accuracy 0.7079545454545455   precision 0.6407066052227343   recall 0.5698102624134231
deviation 3/5   iterations 1130/2000   F1 0.5611760817273247   accuracy 0.7034090909090909   precision 0.642242703533026   recall 0.5697104381971043
deviation 3/5   iterations 1140/2000   F1 0.5550015288002446   accuracy 0.7068181818181818   precision 0.6235944700460829   recall 0.5622527992869478
deviation 3/5   iterations 1150/2000   F1 0.5567647058823529   accuracy 0.6886363636363636   precision 0.6503225806451614   recall 0.5708822251195133
deviation 3/5   iterations 1160/2000   F1 0.5614230811738481   accuracy 0.7284090909090909   precision 0.615268817204301   recall 0.5623935717326521
deviation 3/5   iterations 1170/2000   F1 0.5697333298094458   accuracy 0.7477272727272727   precision 0.6138863287250385   recall 0.5660836144011295
deviation 3/5   iterations 1180/2000   F1 0.5696228167126647   accuracy 0.7420454545454546   precision 0.6188940092165899   recall 0.5670403836026497
deviation 3/5   iterations 1190/2000   F1 0.5613373860182371   accuracy 0.7204545454545455   precision 0.6231029185867896   recall 0.564390165515025
deviation 3/5   iterations 1200/2000   F1 0.5736578220945299   accuracy 0.7556818181818182   precision 0.6142857142857143   recall 0.5683823529411764
deviation 3/5   iterations 1210/2000   F1 0.5648065725150518   accuracy 0.7329545454545454   precision 0.6178494623655915   recall 0.5645113550748035
deviation 3/5   iterations 1220/2000   F1 0.5876889553456737   accuracy 0.7625   precision 0.6346236559139785   recall 0.5799891936096264
deviation 3/5   iterations 1230/2000   F1 0.5834841439986636   accuracy 0.7681818181818182   precision 0.6213824884792627   recall 0.5756322789607884
deviation 3/5   iterations 1240/2000   F1 0.5614230811738481   accuracy 0.7284090909090909   precision 0.615268817204301   recall 0.5623935717326521
deviation 3/5   iterations 1250/2000   F1 0.5588226411447417   accuracy 0.7170454545454545   precision 0.6211674347158218   recall 0.5629083299305839
deviation 3/5   iterations 1260/2000   F1 0.5713534191059471   accuracy 0.7443181818181818   precision 0.620184331797235   recall 0.5681894243641232
deviation 3/5   iterations 1270/2000   F1 0.5794061218064154   accuracy 0.7602272727272728   precision 0.6209831029185868   recall 0.5729064841968068
deviation 3/5   iterations 1280/2000   F1 0.5853084991228398   accuracy 0.7704545454545455   precision 0.6226728110599078   recall 0.57703081232493
deviation 3/5   iterations 1290/2000   F1 0.5757000333475644   accuracy 0.7420454545454546   precision 0.6312442396313364   recall 0.5726807491289199
deviation 3/5   iterations 1300/2000   F1 0.5619612190872684   accuracy 0.7   precision 0.6485407066052228   recall 0.5718130454672378
deviation 3/5   iterations 1310/2000   F1 0.590838163445645   accuracy 0.7829545454545455   precision 0.6215360983102918   recall 0.5812146892655368
deviation 3/5   iterations 1320/2000   F1 0.5866489269393186   accuracy 0.7693181818181818   precision 0.6261443932411674   recall 0.5782990083905416
deviation 3/5   iterations 1330/2000   F1 0.5917809289425368   accuracy 0.7840909090909091   precision 0.6221812596006144   recall 0.5820074398502132
deviation 3/5   iterations 1340/2000   F1 0.5984427033272168   accuracy 0.7863636363636364   precision 0.6317050691244239   recall 0.5876249887581656
deviation 3/5   iterations 1350/2000   F1 0.583743395109747   accuracy 0.7602272727272728   precision 0.6292165898617511   recall 0.5767764829580303
deviation 3/5   iterations 1360/2000   F1 0.5863857062595232   accuracy 0.7556818181818182   precision 0.6389861751152074   recall 0.5798638571912778
deviation 3/5   iterations 1370/2000   F1 0.5816718357701964   accuracy 0.7659090909090909   precision 0.6200921658986175   recall 0.5742596828243376
deviation 3/5   iterations 1380/2000   F1 0.6073846153846154   accuracy 0.8022727272727272   precision 0.6325038402457757   recall 0.5959510567296996
deviation 3/5   iterations 1390/2000   F1 0.6014131714829242   accuracy 0.7954545454545454   precision 0.6286328725038403   recall 0.5904249345623235
deviation 3/5   iterations 1400/2000   F1 0.6061101752158663   accuracy 0.8125   precision 0.6218433179723503   recall 0.5968299542950897
deviation 3/5   iterations 1410/2000   F1 0.593222636066399   accuracy 0.7829545454545455   precision 0.6256528417818741   recall 0.5832356484647194
deviation 3/5   iterations 1420/2000   F1 0.5831562544269726   accuracy 0.7568181818181818   precision 0.6313978494623655   recall 0.576752733093582
deviation 3/5   iterations 1430/2000   F1 0.570484420005237   accuracy 0.7352272727272727   precision 0.627373271889401   recall 0.5693311036789298
deviation 3/5   iterations 1440/2000   F1 0.5925556864047669   accuracy 0.7909090909090909   precision 0.6178187403993856   recall 0.5828229338539552
deviation 3/5   iterations 1450/2000   F1 0.6155526430755789   accuracy 0.8227272727272728   precision 0.6276497695852534   recall 0.6072213792462763
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deviation 3/5   iterations 1460/2000   F1 0.584335279972518   accuracy 0.775   precision 0.6170199692780338   recall 0.5758891926139035
deviation 3/5   iterations 1470/2000   F1 0.5700302194192617   accuracy 0.7295454545454545   precision 0.6323809523809524   recall 0.5703170386229676
deviation 3/5   iterations 1480/2000   F1 0.5857608852492365   accuracy 0.7738636363636363   precision 0.6204915514592934   recall 0.5771828458074876
deviation 3/5   iterations 1490/2000   F1 0.6104284007509815   accuracy 0.8113636363636364   precision 0.629431643625192   recall 0.599937376056779
deviation 3/5   iterations 1500/2000   F1 0.5954392943047057   accuracy 0.7943181818181818   precision 0.6197542242703533   recall 0.5854255058031488
deviation 3/5   iterations 1510/2000   F1 0.5947368421052632   accuracy 0.8090909090909091   precision 0.6075576036866359   recall 0.5870246085011186
deviation 3/5   iterations 1520/2000   F1 0.6023979302076103   accuracy 0.7965909090909091   precision 0.6292780337941628   recall 0.5913194444444444
deviation 3/5   iterations 1530/2000   F1 0.5686927693080117   accuracy 0.7204545454545455   precision 0.6395698924731184   recall 0.5715969766313016
deviation 3/5   iterations 1540/2000   F1 0.5702316495383712   accuracy 0.7375   precision 0.624546850998464   recall 0.5685705393629401
deviation 3/5   iterations 1550/2000   F1 0.6052726141767797   accuracy 0.7943181818181818   precision 0.636221198156682   recall 0.5935253619520097
deviation 3/5   iterations 1560/2000   F1 0.592187728458883   accuracy 0.7875   precision 0.62   recall 0.582388377037562
deviation 3/5   iterations 1570/2000   F1 0.6023979302076103   accuracy 0.7965909090909091   precision 0.6292780337941628   recall 0.5913194444444444
deviation 3/5   iterations 1580/2000   F1 0.5870332090312449   accuracy 0.7670454545454546   precision 0.6289708141321044   recall 0.5788599681404226
deviation 3/5   iterations 1590/2000   F1 0.5989304812834224   accuracy 0.7954545454545454   precision 0.6245161290322581   recall 0.5883861513097637
deviation 3/5   iterations 1600/2000   F1 0.6095709801185909   accuracy 0.8193181818181818   precision 0.6215975422427036   recall 0.6014871794871794
deviation 3/5   iterations 1610/2000   F1 0.5902953804769542   accuracy 0.7852272727272728   precision 0.6187096774193548   recall 0.5807584269662922
deviation 3/5   iterations 1620/2000   F1 0.5936033336555294   accuracy 0.8045454545454546   precision 0.6090937019969278   recall 0.5851975546790277
deviation 3/5   iterations 1630/2000   F1 0.5979998231670777   accuracy 0.7886363636363637   precision 0.6288786482334869   recall 0.5872801870854452
deviation 3/5   iterations 1640/2000   F1 0.6068404114343409   accuracy 0.7988636363636363   precision 0.6346850998463902   recall 0.5951388888888889
deviation 3/5   iterations 1650/2000   F1 0.6135515592375564   accuracy 0.8147727272727273   precision 0.6313671274961598   recall 0.6031853281853282
deviation 3/5   iterations 1660/2000   F1 0.5997113906578411   accuracy 0.8022727272727272   precision 0.6201536098310292   recall 0.5897685435966177
deviation 3/5   iterations 1670/2000   F1 0.6174493709470392   accuracy 0.8079545454545455   precision 0.643963133640553   recall 0.6047815820543093
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deviation 3/5   iterations 1680/2000   F1 0.6155526430755789   accuracy 0.8227272727272728   precision 0.6276497695852534   recall 0.6072213792462763
deviation 3/5   iterations 1690/2000   F1 0.6104284007509815   accuracy 0.8113636363636364   precision 0.629431643625192   recall 0.599937376056779
deviation 3/5   iterations 1700/2000   F1 0.5979554489808797   accuracy 0.7943181818181818   precision 0.6238709677419355   recall 0.5875
deviation 3/5   iterations 1710/2000   F1 0.6155526430755789   accuracy 0.8227272727272728   precision 0.6276497695852534   recall 0.6072213792462763
deviation 3/5   iterations 1720/2000   F1 0.6092105263157894   accuracy 0.8159090909090909   precision 0.6237788018433179   recall 0.6001491424310217
deviation 3/5   iterations 1730/2000   F1 0.6043124091560268   accuracy 0.8045454545454546   precision 0.6255606758832565   recall 0.593808242822648
deviation 3/5   iterations 1740/2000   F1 0.5965250965250964   accuracy 0.7840909090909091   precision 0.6304147465437788   recall 0.5860182370820668
deviation 3/5   iterations 1750/2000   F1 0.6030881336473014   accuracy 0.825   precision 0.6083563748079878   recall 0.5987722776713602
deviation 3/5   iterations 1760/2000   F1 0.6036300547177366   accuracy 0.8159090909090909   precision 0.6155453149001536   recall 0.595827515567831
deviation 3/5   iterations 1770/2000   F1 0.6038573886599176   accuracy 0.7954545454545454   precision 0.6327496159754225   recall 0.5924309708995388
deviation 3/5   iterations 1780/2000   F1 0.6020454308275646   accuracy 0.8079545454545455   precision 0.61926267281106   recall 0.5926084965075002
deviation 3/5   iterations 1790/2000   F1 0.6199373347747986   accuracy 0.821590909090909   precision 0.6352380952380953   recall 0.6100896322676164
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deviation 3/5   iterations 1800/2000   F1 0.6054126469317973   accuracy 0.8147727272727273   precision 0.6190168970814132   recall 0.5968848785562803
deviation 3/5   iterations 1810/2000   F1 0.609479946267511   accuracy 0.8318181818181818   precision 0.6122273425499232   recall 0.6069893039984067
deviation 3/5   iterations 1820/2000   F1 0.5874397415383361   accuracy 0.7909090909090909   precision 0.6095852534562212   recall 0.57856066812908
deviation 3/5   iterations 1830/2000   F1 0.6062569819159118   accuracy 0.8284090909090909   precision 0.6102918586789554   recall 0.6027781594979617
deviation 3/5   iterations 1840/2000   F1 0.6019421922953598   accuracy 0.8204545454545454   precision 0.6098924731182795   recall 0.5960412840588115
deviation 3/5   iterations 1850/2000   F1 0.6108845973344619   accuracy 0.8147727272727273   precision 0.6272503840245776   recall 0.6011269971483261
deviation 3/5   iterations 1860/2000   F1 0.6007662062707935   accuracy 0.8159090909090909   precision 0.6114285714285714   recall 0.5935961353853776
deviation 3/5   iterations 1870/2000   F1 0.6183104230615241   accuracy 0.8227272727272728   precision 0.6317665130568356   recall 0.6092805674741895
deviation 3/5   iterations 1880/2000   F1 0.6085359498722658   accuracy 0.8409090909090909   precision 0.6050384024577573   recall 0.6125396637305631
deviation 3/5   iterations 1890/2000   F1 0.6056950185390553   accuracy 0.8181818181818182   precision 0.6168356374807988   recall 0.5981378833390105
deviation 3/5   iterations 1900/2000   F1 0.6101628664495113   accuracy 0.8261363636363637   precision 0.6172350230414747   recall 0.6046052631578948
deviation 3/5   iterations 1910/2000   F1 0.6105667193497404   accuracy 0.8329545454545455   precision 0.6128725038402458   recall 0.6084415584415584
deviation 3/5   iterations 1920/2000   F1 0.5994558040894722   accuracy 0.7931818181818182   precision 0.627342549923195   recall 0.5886661361672271
deviation 3/5   iterations 1930/2000   F1 0.6071831260684256   accuracy 0.8465909090909091   precision 0.6000307219662058   recall 0.6167929292929293
deviation 3/5   iterations 1940/2000   F1 0.6   accuracy 0.825   precision 0.6042396313364056   recall 0.5964194373401535
deviation 3/5   iterations 1950/2000   F1 0.6120196051486417   accuracy 0.825   precision 0.6207066052227342   recall 0.6054923693226364
deviation 3/5   iterations 1960/2000   F1 0.6088098605778945   accuracy 0.8125   precision 0.6259600614439325   recall 0.5989382239382239
deviation 3/5   iterations 1970/2000   F1 0.6169796036802844   accuracy 0.8363636363636363   precision 0.6189247311827957   recall 0.6151548685729245
deviation 3/5   iterations 1980/2000   F1 0.5871019901395336   accuracy 0.7784090909090909   precision 0.6189554531490016   recall 0.578125
deviation 3/5   iterations 1990/2000   F1 0.6063660117411518   accuracy 0.8352272727272727   precision 0.6059293394777265   recall 0.6068100713719271
deviation 3/5   iterations 2000/2000   F1 0.6257484571914613   accuracy 0.8420454545454545   precision 0.6262672811059908   recall 0.6252376773438643
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deviation 4/5   iterations 10/2000   F1 0.5566184349652632   accuracy 0.7579545454545454   precision 0.582642089093702   recall 0.5529377499291539
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deviation 4/5   iterations 20/2000   F1 0.5384344443678741   accuracy 0.6886363636363636   precision 0.6050384024577573   recall 0.5515807641013573
deviation 4/5   iterations 30/2000   F1 0.5092764238670102   accuracy 0.6215909090909091   precision 0.6122580645161291   recall 0.5490590964748341
deviation 4/5   iterations 40/2000   F1 0.5051731893837157   accuracy 0.6136363636363636   precision 0.6118586789554532   recall 0.5485024324482739
deviation 4/5   iterations 50/2000   F1 0.5220022106535568   accuracy 0.6420454545454546   precision 0.6197542242703533   recall 0.5534370818801956
deviation 4/5   iterations 60/2000   F1 0.49951490415175137   accuracy 0.5943181818181819   precision 0.6255913978494623   recall 0.5534250585480094
deviation 4/5   iterations 70/2000   F1 0.5070930010480212   accuracy 0.6034090909090909   precision 0.6348694316436252   recall 0.5575559564515113
deviation 4/5   iterations 80/2000   F1 0.554359815777504   accuracy 0.6875   precision 0.6455606758832566   recall 0.5687527570755264
deviation 4/5   iterations 90/2000   F1 0.5577633346348354   accuracy 0.6943181818181818   precision 0.6453149001536098   recall 0.5696063196063196
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deviation 4/5   iterations 100/2000   F1 0.535948178791523   accuracy 0.6556818181818181   precision 0.6398463901689708   recall 0.5628534817956875
deviation 4/5   iterations 110/2000   F1 0.5542641683322027   accuracy 0.6852272727272727   precision 0.6483870967741936   recall 0.5696222237597731
deviation 4/5   iterations 120/2000   F1 0.5684821261463597   accuracy 0.7022727272727273   precision 0.6621812596006145   recall 0.577826920241781
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deviation 4/5   iterations 130/2000   F1 0.6037200924314851   accuracy 0.7579545454545454   precision 0.6732104454685099   recall 0.595362777732673
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deviation 4/5   iterations 140/2000   F1 0.5994987719913789   accuracy 0.7420454545454546   precision 0.6847619047619048   recall 0.5954603174603175
deviation 4/5   iterations 150/2000   F1 0.5956703759137546   accuracy 0.7352272727272727   precision 0.6850076804915515   recall 0.5938146514120491
deviation 4/5   iterations 160/2000   F1 0.5868134094712623   accuracy 0.7261363636363637   precision 0.6757296466973887   recall 0.5879329004329004
deviation 4/5   iterations 170/2000   F1 0.565618697920394   accuracy 0.6943181818181818   precision 0.6658986175115207   recall 0.5780960755275824
deviation 4/5   iterations 180/2000   F1 0.5569848165897793   accuracy 0.6806818181818182   precision 0.662273425499232   recall 0.5747311827956989
deviation 4/5   iterations 190/2000   F1 0.5896268544645468   accuracy 0.7318181818181818   precision 0.6748387096774193   recall 0.5888602282166746
deviation 4/5   iterations 200/2000   F1 0.5727792207792208   accuracy 0.7079545454545455   precision 0.6654070660522273   recall 0.5801190476190476
deviation 4/5   iterations 210/2000   F1 0.5880681818181818   accuracy 0.7363636363636363   precision 0.665069124423963   recall 0.5859124661818601
deviation 4/5   iterations 220/2000   F1 0.5573400451449233   accuracy 0.6852272727272727   precision 0.656620583717358   recall 0.5730138179151676
deviation 4/5   iterations 230/2000   F1 0.573502449580716   accuracy 0.7068181818181818   precision 0.668878648233487   recall 0.5813401518783553
deviation 4/5   iterations 240/2000   F1 0.5782030159959171   accuracy 0.7193181818181819   precision 0.6636251920122889   recall 0.5815250667385075
deviation 4/5   iterations 250/2000   F1 0.5860479337676694   accuracy 0.7272727272727273   precision 0.672258064516129   recall 0.5867639685811376
deviation 4/5   iterations 260/2000   F1 0.5795956977459036   accuracy 0.7147727272727272   precision 0.673394777265745   recall 0.5846410404069489
deviation 4/5   iterations 270/2000   F1 0.5400433171520225   accuracy 0.6443181818181818   precision 0.6704454685099847   recall 0.5743524315979072
deviation 4/5   iterations 280/2000   F1 0.5269307495012825   accuracy 0.6227272727272727   precision 0.66642089093702   recall 0.571321736474281
deviation 4/5   iterations 290/2000   F1 0.5539996284532654   accuracy 0.6806818181818182   precision 0.6540399385560676   recall 0.5713659447518845
deviation 4/5   iterations 300/2000   F1 0.5668900844579363   accuracy 0.7022727272727273   precision 0.6580645161290323   recall 0.5761315410977147
deviation 4/5   iterations 310/2000   F1 0.5622249555828893   accuracy 0.6897727272727273   precision 0.6633179723502305   recall 0.5763793103448276
deviation 4/5   iterations 320/2000   F1 0.560749862734332   accuracy 0.6818181818181818   precision 0.6711520737327189   recall 0.5784776104264923
deviation 4/5   iterations 330/2000   F1 0.5584530142081421   accuracy 0.6806818181818182   precision 0.6663901689708142   recall 0.5764039364391478
deviation 4/5   iterations 340/2000   F1 0.4951372909955515   accuracy 0.575   precision 0.647557603686636   recall 0.5620943762120233
deviation 4/5   iterations 350/2000   F1 0.49997250581960156   accuracy 0.5772727272727273   precision 0.6611981566820277   recall 0.5677980556029336
deviation 4/5   iterations 360/2000   F1 0.5437033734129859   accuracy 0.6511363636363636   precision 0.670199692780338   recall 0.5748098695013395
deviation 4/5   iterations 370/2000   F1 0.5383261417524672   accuracy 0.6511363636363636   precision 0.6537327188940092   recall 0.5681372549019608
deviation 4/5   iterations 380/2000   F1 0.54462856661492   accuracy 0.6579545454545455   precision 0.6617204301075268   recall 0.5719975490196079
deviation 4/5   iterations 390/2000   F1 0.5448939809842066   accuracy 0.6602272727272728   precision 0.6588940092165898   recall 0.5710689473221352
deviation 4/5   iterations 400/2000   F1 0.5633756924079505   accuracy 0.6954545454545454   precision 0.658310291858679   recall 0.5751608819187977
deviation 4/5   iterations 410/2000   F1 0.5657822517006676   accuracy 0.696590909090909   precision 0.6630721966205837   recall 0.5772877644208368
deviation 4/5   iterations 420/2000   F1 0.5809725023208169   accuracy 0.7295454545454545   precision 0.6570814132104454   recall 0.5809639027356392
deviation 4/5   iterations 430/2000   F1 0.5696173958842783   accuracy 0.7193181818181819   precision 0.6430414746543779   recall 0.5728665865384616
deviation 4/5   iterations 440/2000   F1 0.5800720340409354   accuracy 0.7261363636363637   precision 0.6592626728110599   recall 0.5811298076923077
deviation 4/5   iterations 450/2000   F1 0.5765871546553831   accuracy 0.7238636363636364   precision 0.6538556067588326   recall 0.5783754006410257
deviation 4/5   iterations 460/2000   F1 0.5618940670035562   accuracy 0.6977272727272728   precision 0.6513671274961598   recall 0.5726374760430488
deviation 4/5   iterations 470/2000   F1 0.5509478436307705   accuracy 0.6806818181818182   precision 0.6458064516129032   recall 0.5679724558307936
deviation 4/5   iterations 480/2000   F1 0.5578233227339868   accuracy 0.6988636363636364   precision 0.6396620583717358   recall 0.5679091278472239
deviation 4/5   iterations 490/2000   F1 0.5328851304667146   accuracy 0.6534090909090909   precision 0.6344393241167434   recall 0.5604232944503358
deviation 4/5   iterations 500/2000   F1 0.5239002613240418   accuracy 0.6386363636363637   precision 0.630168970814132   recall 0.5575082387304483
deviation 4/5   iterations 510/2000   F1 0.5586427434742931   accuracy 0.6977272727272728   precision 0.6431336405529954   recall 0.5691989614957313
deviation 4/5   iterations 520/2000   F1 0.5469311985149089   accuracy 0.6772727272727272   precision 0.6397542242703533   recall 0.5650485325828943
deviation 4/5   iterations 530/2000   F1 0.5530158730158731   accuracy 0.7090909090909091   precision 0.6166513056835637   recall 0.5595607843137255
deviation 4/5   iterations 540/2000   F1 0.5876749544344717   accuracy 0.7522727272727273   precision 0.6452841781874039   recall 0.581670224303843
deviation 4/5   iterations 550/2000   F1 0.5495194146857114   accuracy 0.6852272727272727   precision 0.636036866359447   recall 0.5644744199049483
deviation 4/5   iterations 560/2000   F1 0.5461118179235159   accuracy 0.6761363636363636   precision 0.6391090629800307   recall 0.5646472953216374
deviation 4/5   iterations 570/2000   F1 0.542170252708632   accuracy 0.675   precision 0.6302304147465438   recall 0.5608076704594357
deviation 4/5   iterations 580/2000   F1 0.5036402855011143   accuracy 0.6056818181818182   precision 0.6196927803379416   recall 0.5513973319824383
deviation 4/5   iterations 590/2000   F1 0.5721993321591661   accuracy 0.7227272727272728   precision 0.6449769585253455   recall 0.5743707093821511
deviation 4/5   iterations 600/2000   F1 0.5858681794457136   accuracy 0.75   precision 0.6439938556067588   recall 0.5804557845082704
deviation 4/5   iterations 610/2000   F1 0.5560460886322824   accuracy 0.7034090909090909   precision 0.6298924731182796   recall 0.5644449322017364
deviation 4/5   iterations 620/2000   F1 0.5060019974020717   accuracy 0.6090909090909091   precision 0.6216282642089093   recall 0.5523369872720254
deviation 4/5   iterations 630/2000   F1 0.5430142798797288   accuracy 0.6806818181818182   precision 0.6252227342549923   recall 0.5593490820985928
deviation 4/5   iterations 640/2000   F1 0.5365678101225457   accuracy 0.6715909090909091   precision 0.6200614439324117   recall 0.5561494252873563
deviation 4/5   iterations 650/2000   F1 0.5357542908762422   accuracy 0.6681818181818182   precision 0.6222427035330261   recall 0.5567213114754098
deviation 4/5   iterations 660/2000   F1 0.5553157698766708   accuracy 0.6977272727272728   precision 0.6349001536098311   recall 0.5657213331656998
deviation 4/5   iterations 670/2000   F1 0.5620066208301503   accuracy 0.7068181818181818   precision 0.6400614439324117   recall 0.5693451529882757
deviation 4/5   iterations 680/2000   F1 0.556094119661747   accuracy 0.6920454545454545   precision 0.6440245775729647   recall 0.5687406156156156
deviation 4/5   iterations 690/2000   F1 0.5491730345076765   accuracy 0.6761363636363636   precision 0.6473425499231951   recall 0.5680569430569431
deviation 4/5   iterations 700/2000   F1 0.5260932422078728   accuracy 0.6397727272727273   precision 0.6349308755760368   recall 0.5595496355432141
deviation 4/5   iterations 710/2000   F1 0.5347546021490546   accuracy 0.6602272727272728   precision 0.6300768049155145   recall 0.5592280489715526
deviation 4/5   iterations 720/2000   F1 0.5290225271249939   accuracy 0.65   precision 0.6283870967741936   recall 0.5576321581650384
deviation 4/5   iterations 730/2000   F1 0.49657721356259044   accuracy 0.5954545454545455   precision 0.6138863287250385   recall 0.5486291486291486
deviation 4/5   iterations 740/2000   F1 0.5222058697728174   accuracy 0.6465909090909091   precision 0.6141013824884792   recall 0.5514108214657483
deviation 4/5   iterations 750/2000   F1 0.5544941102962072   accuracy 0.6943181818181818   precision 0.6370814132104454   recall 0.5661483906164757
deviation 4/5   iterations 760/2000   F1 0.5609639704127893   accuracy 0.7125   precision 0.6309370199692781   recall 0.5663962212418057
deviation 4/5   iterations 770/2000   F1 0.5487179487179488   accuracy 0.6886363636363636   precision 0.6297388632872505   recall 0.5622585876455846
deviation 4/5   iterations 780/2000   F1 0.5511817988485954   accuracy 0.6920454545454545   precision 0.6316743471582181   recall 0.5635392205697479
deviation 4/5   iterations 790/2000   F1 0.529946637384654   accuracy 0.6534090909090909   precision 0.6262058371735791   recall 0.5570099475974776
deviation 4/5   iterations 800/2000   F1 0.5280720238516069   accuracy 0.6465909090909091   precision 0.630568356374808   recall 0.5582625956877454
deviation 4/5   iterations 810/2000   F1 0.5620066208301503   accuracy 0.7068181818181818   precision 0.6400614439324117   recall 0.5693451529882757
deviation 4/5   iterations 820/2000   F1 0.522493191637488   accuracy 0.6386363636363637   precision 0.62605222734255   recall 0.5558082470524867
deviation 4/5   iterations 830/2000   F1 0.4919899853069333   accuracy 0.5852272727272727   precision 0.6163133640552996   recall 0.5493390187451782
deviation 4/5   iterations 840/2000   F1 0.5636918382913806   accuracy 0.7045454545454546   precision 0.6470046082949308   recall 0.571900826446281
deviation 4/5   iterations 850/2000   F1 0.5362502753910553   accuracy 0.6602272727272728   precision 0.6341935483870967   recall 0.5609375
deviation 4/5   iterations 860/2000   F1 0.5584383001645525   accuracy 0.6909090909090909   precision 0.6516129032258065   recall 0.5717334046548948
deviation 4/5   iterations 870/2000   F1 0.562861652771145   accuracy 0.7056818181818182   precision 0.6435330261136714   recall 0.5706269349845201
deviation 4/5   iterations 880/2000   F1 0.5781339050389791   accuracy 0.7352272727272727   precision 0.6438402457757297   recall 0.5766054085185476
deviation 4/5   iterations 890/2000   F1 0.5670889189521584   accuracy 0.7090909090909091   precision 0.6495852534562212   recall 0.5737552942031883
deviation 4/5   iterations 900/2000   F1 0.559486067078258   accuracy 0.7034090909090909   precision 0.638125960061444   recall 0.5679663312693498
deviation 4/5   iterations 910/2000   F1 0.5809659090909092   accuracy 0.7318181818181818   precision 0.6542549923195085   recall 0.5802841043549449
deviation 4/5   iterations 920/2000   F1 0.5783171731632719   accuracy 0.7238636363636364   precision 0.6579723502304147   recall 0.5801054363269273
deviation 4/5   iterations 930/2000   F1 0.5542641683322027   accuracy 0.6852272727272727   precision 0.6483870967741936   recall 0.5696222237597731
deviation 4/5   iterations 940/2000   F1 0.5688119774450711   accuracy 0.7136363636363636   precision 0.6480491551459293   recall 0.5739223807332413
deviation 4/5   iterations 950/2000   F1 0.5924804360305682   accuracy 0.7534090909090909   precision 0.654162826420891   recall 0.5858799529012295
deviation 4/5   iterations 960/2000   F1 0.5827190207126292   accuracy 0.7295454545454545   precision 0.6611981566820276   recall 0.5826919076346994
deviation 4/5   iterations 970/2000   F1 0.5493963828527174   accuracy 0.6806818181818182   precision 0.6416897081413211   recall 0.5662643678160919
deviation 4/5   iterations 980/2000   F1 0.5551915229598802   accuracy 0.6886363636363636   precision 0.646205837173579   recall 0.5691751312568681
deviation 4/5   iterations 990/2000   F1 0.5580126467931347   accuracy 0.6840909090909091   precision 0.6600921658986175   recall 0.5742836778332145
deviation 4/5   iterations 1000/2000   F1 0.5611187331914309   accuracy 0.6988636363636364   precision 0.6478955453149002   recall 0.5713667307099315
deviation 4/5   iterations 1010/2000   F1 0.5772566022861647   accuracy 0.7340909090909091   precision 0.6431950844854071   recall 0.5760612014438736
deviation 4/5   iterations 1020/2000   F1 0.6133455556819424   accuracy 0.7761363636363636   precision 0.6711827956989247   recall 0.6010122984104884
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deviation 4/5   iterations 1030/2000   F1 0.5878185038833629   accuracy 0.75   precision 0.648110599078341   recall 0.5822634477957286
deviation 4/5   iterations 1040/2000   F1 0.5989583333333333   accuracy 0.7613636363636364   precision 0.658678955453149   recall 0.59031299178178
deviation 4/5   iterations 1050/2000   F1 0.5800842006076458   accuracy 0.7306818181818182   precision 0.6536098310291859   recall 0.5797519395671703
deviation 4/5   iterations 1060/2000   F1 0.568799931007989   accuracy 0.7159090909090909   precision 0.6452227342549923   recall 0.5731466523065877
deviation 4/5   iterations 1070/2000   F1 0.5511187962558859   accuracy 0.6852272727272727   precision 0.6401536098310292   recall 0.5661988344825986
deviation 4/5   iterations 1080/2000   F1 0.5511661334446144   accuracy 0.6875   precision 0.6373271889400922   recall 0.56531268264173
deviation 4/5   iterations 1090/2000   F1 0.5020679614326409   accuracy 0.6034090909090909   precision 0.6184024577572964   recall 0.5507757330466494
deviation 4/5   iterations 1100/2000   F1 0.5412191516997358   accuracy 0.6693181818181818   precision 0.6352380952380953   recall 0.5622807017543859
deviation 4/5   iterations 1110/2000   F1 0.5397617124767378   accuracy 0.678409090909091   precision 0.6198156682027649   recall 0.5567864131954152
deviation 4/5   iterations 1120/2000   F1 0.5438253502769632   accuracy 0.6818181818181818   precision 0.625867895545315   recall 0.5597582249604723
deviation 4/5   iterations 1130/2000   F1 0.5935198327048568   accuracy 0.75   precision 0.6604608294930876   recall 0.5875877890246111
deviation 4/5   iterations 1140/2000   F1 0.5527002948845693   accuracy 0.6852272727272727   precision 0.6442703533026114   recall 0.5679146612365791
deviation 4/5   iterations 1150/2000   F1 0.5363647491037202   accuracy 0.6625   precision 0.6313671274961598   recall 0.5599806984468982
deviation 4/5   iterations 1160/2000   F1 0.5730558170371759   accuracy 0.7147727272727272   precision 0.6569278033794164   recall 0.5778582577309531
deviation 4/5   iterations 1170/2000   F1 0.5610513395817881   accuracy 0.696590909090909   precision 0.6507219662058372   recall 0.5721963221963222
deviation 4/5   iterations 1180/2000   F1 0.56   accuracy 0.6909090909090909   precision 0.6557296466973886   recall 0.5734318412284514
deviation 4/5   iterations 1190/2000   F1 0.5555004305145862   accuracy 0.6806818181818182   precision 0.6581566820276498   recall 0.573051948051948
deviation 4/5   iterations 1200/2000   F1 0.5800495086701094   accuracy 0.7329545454545454   precision 0.6507834101382488   recall 0.5790674296319208
deviation 4/5   iterations 1210/2000   F1 0.5653871775434728   accuracy 0.7068181818181818   precision 0.6482949308755761   recall 0.5728225645853323
deviation 4/5   iterations 1220/2000   F1 0.5462410933666569   accuracy 0.6806818181818182   precision 0.6334562211981567   recall 0.5628239540910773
deviation 4/5   iterations 1230/2000   F1 0.5610513395817881   accuracy 0.696590909090909   precision 0.6507219662058372   recall 0.5721963221963222
deviation 4/5   iterations 1240/2000   F1 0.537384515289525   accuracy 0.6556818181818181   precision 0.6439631336405529   recall 0.5645454545454546
deviation 4/5   iterations 1250/2000   F1 0.5628499799942399   accuracy 0.7079545454545455   precision 0.6407066052227343   recall 0.5698102624134231
deviation 4/5   iterations 1260/2000   F1 0.5747322361942659   accuracy 0.7284090909090909   precision 0.6440860215053763   recall 0.5751776050883537
deviation 4/5   iterations 1270/2000   F1 0.5880954706782586   accuracy 0.7386363636363636   precision 0.6622427035330261   recall 0.5852924265622679
deviation 4/5   iterations 1280/2000   F1 0.5687972158560393   accuracy 0.7113636363636363   precision 0.6508755760368663   recall 0.5746992863183641
deviation 4/5   iterations 1290/2000   F1 0.5894919617481146   accuracy 0.7545454545454545   precision 0.6465745007680491   recall 0.582904129393693
deviation 4/5   iterations 1300/2000   F1 0.5914577530176415   accuracy 0.7545454545454545   precision 0.6506912442396313   recall 0.5847097589787164
deviation 4/5   iterations 1310/2000   F1 0.6097524154589372   accuracy 0.7863636363636364   precision 0.6522887864823348   recall 0.5971572155451546
deviation 4/5   iterations 1320/2000   F1 0.5923740334503211   accuracy 0.7556818181818182   precision 0.6513364055299539   recall 0.5853335735469387
deviation 4/5   iterations 1330/2000   F1 0.563655672163918   accuracy 0.7113636363636363   precision 0.6385253456221198   recall 0.5694671259806127
deviation 4/5   iterations 1340/2000   F1 0.5809984250814928   accuracy 0.7488636363636364   precision 0.6351152073732719   recall 0.5761869785747942
deviation 4/5   iterations 1350/2000   F1 0.5879628705016654   accuracy 0.7602272727272728   precision 0.6374500768049155   recall 0.5805580363573507
deviation 4/5   iterations 1360/2000   F1 0.5822843822843823   accuracy 0.7454545454545455   precision 0.6414132104454685   recall 0.5780831212892281
deviation 4/5   iterations 1370/2000   F1 0.5662398033038561   accuracy 0.7125   precision 0.6432872503840246   recall 0.5716991341991342
deviation 4/5   iterations 1380/2000   F1 0.5713758920630789   accuracy 0.7193181818181819   precision 0.6471582181259601   recall 0.5746217502928787
deviation 4/5   iterations 1390/2000   F1 0.5698425849212925   accuracy 0.7318181818181818   precision 0.6295545314900154   recall 0.569553026554511
deviation 4/5   iterations 1400/2000   F1 0.5620066208301503   accuracy 0.7068181818181818   precision 0.6400614439324117   recall 0.5693451529882757
deviation 4/5   iterations 1410/2000   F1 0.5419248568515178   accuracy 0.6681818181818182   precision 0.6387096774193548   recall 0.5636019405987457
deviation 4/5   iterations 1420/2000   F1 0.5534332194281375   accuracy 0.6840909090909091   precision 0.6477419354838709   recall 0.5692065922553089
deviation 4/5   iterations 1430/2000   F1 0.5503591716509874   accuracy 0.6909090909090909   precision 0.6310291858678956   recall 0.5631100141461134
deviation 4/5   iterations 1440/2000   F1 0.5461818181818181   accuracy 0.6897727272727273   precision 0.6221505376344085   recall 0.5591666666666667
deviation 4/5   iterations 1450/2000   F1 0.5602777193351567   accuracy 0.6977272727272728   precision 0.6472503840245776   recall 0.5709229303170742
deviation 4/5   iterations 1460/2000   F1 0.5561468522018503   accuracy 0.6988636363636364   precision 0.6355453149001536   recall 0.566165178999904
deviation 4/5   iterations 1470/2000   F1 0.583443679608634   accuracy 0.7420454545454546   precision 0.6477112135176651   recall 0.5799542358450405
deviation 4/5   iterations 1480/2000   F1 0.5700302194192617   accuracy 0.7295454545454545   precision 0.6323809523809524   recall 0.5703170386229676
deviation 4/5   iterations 1490/2000   F1 0.5739300233682255   accuracy 0.725   precision 0.6462672811059907   recall 0.5753900138713824
deviation 4/5   iterations 1500/2000   F1 0.5812126139853304   accuracy 0.7465909090909091   precision 0.637941628264209   recall 0.5768435608861141
deviation 4/5   iterations 1510/2000   F1 0.5888765294771968   accuracy 0.7613636363636364   precision 0.638095238095238   recall 0.5812104787714544
deviation 4/5   iterations 1520/2000   F1 0.5687632806521099   accuracy 0.7329545454545454   precision 0.6260829493087557   recall 0.5682471264367815
deviation 4/5   iterations 1530/2000   F1 0.5704087838919301   accuracy 0.7227272727272728   precision 0.6408602150537634   recall 0.5726030694392541
deviation 4/5   iterations 1540/2000   F1 0.5725437601017916   accuracy 0.7431818181818182   precision 0.6236559139784946   recall 0.5695120856043493
deviation 4/5   iterations 1550/2000   F1 0.5743576649457464   accuracy 0.7352272727272727   precision 0.6356067588325653   recall 0.5730001852292874
deviation 4/5   iterations 1560/2000   F1 0.5843365436062065   accuracy 0.7431818181818182   precision 0.6483563748079877   recall 0.5805268178149534
deviation 4/5   iterations 1570/2000   F1 0.5643382462586414   accuracy 0.7170454545454545   precision 0.6335176651305684   recall 0.5683316142990114
deviation 4/5   iterations 1580/2000   F1 0.5586489942495731   accuracy 0.7022727272727273   precision 0.6374807987711213   recall 0.5675121144643385
deviation 4/5   iterations 1590/2000   F1 0.5695498441714533   accuracy 0.7215909090909091   precision 0.6402150537634408   recall 0.5720983722576078
deviation 4/5   iterations 1600/2000   F1 0.5955800758175268   accuracy 0.7670454545454546   precision 0.6454377880184332   recall 0.5864146149128187
deviation 4/5   iterations 1610/2000   F1 0.5827839945964552   accuracy 0.7511363636363636   precision 0.6364055299539171   recall 0.5773929049531459
deviation 4/5   iterations 1620/2000   F1 0.5681257681109214   accuracy 0.7295454545454545   precision 0.6282642089093702   recall 0.568491577586603
deviation 4/5   iterations 1630/2000   F1 0.528499566585444   accuracy 0.6431818181818182   precision 0.6368663594470045   recall 0.5605960859417081
deviation 4/5   iterations 1640/2000   F1 0.5388734557931534   accuracy 0.6681818181818182   precision 0.6304761904761905   recall 0.5601766049456186
deviation 4/5   iterations 1650/2000   F1 0.5626476371131734   accuracy 0.7147727272727272   precision 0.6322273425499232   recall 0.5673577724358974
deviation 4/5   iterations 1660/2000   F1 0.5993394809625094   accuracy 0.7715909090909091   precision 0.6480184331797235   recall 0.5891984359726294
deviation 4/5   iterations 1670/2000   F1 0.5748251748251748   accuracy 0.740909090909091   precision 0.6305990783410138   recall 0.5721119592875318
deviation 4/5   iterations 1680/2000   F1 0.5801517400846354   accuracy 0.7556818181818182   precision 0.6266359447004608   recall 0.5742199879000893
deviation 4/5   iterations 1690/2000   F1 0.5767945732509872   accuracy 0.740909090909091   precision 0.634715821812596   recall 0.5739555153780249
deviation 4/5   iterations 1700/2000   F1 0.5759178940678591   accuracy 0.7397727272727272   precision 0.6340706605222735   recall 0.5733909159401571
deviation 4/5   iterations 1710/2000   F1 0.5829965156794424   accuracy 0.7488636363636364   precision 0.6392319508448541   recall 0.578030303030303
deviation 4/5   iterations 1720/2000   F1 0.5897930006981013   accuracy 0.7625   precision 0.6387403993855607   recall 0.581868546235062
deviation 4/5   iterations 1730/2000   F1 0.5719617076501862   accuracy 0.7397727272727272   precision 0.6258371735791091   recall 0.5696864111498258
deviation 4/5   iterations 1740/2000   F1 0.5974536645822771   accuracy 0.7693181818181818   precision 0.6467281105990783   recall 0.5877941176470588
deviation 4/5   iterations 1750/2000   F1 0.5978860788868661   accuracy 0.7829545454545455   precision 0.6338863287250385   recall 0.5871906911232754
deviation 4/5   iterations 1760/2000   F1 0.5932929621022988   accuracy 0.7568181818181818   precision 0.6519815668202764   recall 0.5859624246721021
deviation 4/5   iterations 1770/2000   F1 0.5395324675324675   accuracy 0.6852272727272727   precision 0.6113364055299539   recall 0.5539285714285714
deviation 4/5   iterations 1780/2000   F1 0.52988893728223   accuracy 0.6431818181818182   precision 0.6409831029185868   recall 0.5622858880184156
deviation 4/5   iterations 1790/2000   F1 0.5659098276323763   accuracy 0.7215909090909091   precision 0.6319815668202764   recall 0.5685228664761127
deviation 4/5   iterations 1800/2000   F1 0.5722141202169233   accuracy 0.7375   precision 0.628663594470046   recall 0.5704310623183726
deviation 4/5   iterations 1810/2000   F1 0.5792227284910212   accuracy 0.7465909090909091   precision 0.6338248847926268   recall 0.575
deviation 4/5   iterations 1820/2000   F1 0.5739669745897993   accuracy 0.7477272727272727   precision 0.6221198156682027   recall 0.5699474206558692
deviation 4/5   iterations 1830/2000   F1 0.5588226411447417   accuracy 0.7170454545454545   precision 0.6211674347158218   recall 0.5629083299305839
deviation 4/5   iterations 1840/2000   F1 0.5816718357701964   accuracy 0.7659090909090909   precision 0.6200921658986175   recall 0.5742596828243376
deviation 4/5   iterations 1850/2000   F1 0.5853084991228398   accuracy 0.7704545454545455   precision 0.6226728110599078   recall 0.57703081232493
deviation 4/5   iterations 1860/2000   F1 0.5978860788868661   accuracy 0.7829545454545455   precision 0.6338863287250385   recall 0.5871906911232754
deviation 4/5   iterations 1870/2000   F1 0.5596590909090909   accuracy 0.7181818181818181   precision 0.6218125960061445   recall 0.5633990188741997
deviation 4/5   iterations 1880/2000   F1 0.5655656270804528   accuracy 0.7261363636363637   precision 0.6263287250384024   recall 0.5669270833333333
deviation 4/5   iterations 1890/2000   F1 0.5924382131278683   accuracy 0.8   precision 0.6106298003072197   recall 0.5835491085929597
deviation 4/5   iterations 1900/2000   F1 0.5870332090312449   accuracy 0.7670454545454546   precision 0.6289708141321044   recall 0.5788599681404226
deviation 4/5   iterations 1910/2000   F1 0.5717918820407827   accuracy 0.759090909090909   precision 0.6079877112135177   recall 0.5662752373841362
deviation 4/5   iterations 1920/2000   F1 0.5870519903669075   accuracy 0.759090909090909   precision 0.636804915514593   recall 0.5799111340813001
deviation 4/5   iterations 1930/2000   F1 0.5810436109868393   accuracy 0.7738636363636363   precision 0.6122580645161291   recall 0.5731057332180928
deviation 4/5   iterations 1940/2000   F1 0.590838163445645   accuracy 0.7829545454545455   precision 0.6215360983102918   recall 0.5812146892655368
deviation 4/5   iterations 1950/2000   F1 0.5642123201844519   accuracy 0.7193181818181819   precision 0.6306912442396313   recall 0.5675238095238095
deviation 4/5   iterations 1960/2000   F1 0.5628499799942399   accuracy 0.7079545454545455   precision 0.6407066052227343   recall 0.5698102624134231
deviation 4/5   iterations 1970/2000   F1 0.5738636363636364   accuracy 0.7272727272727273   precision 0.6434408602150538   recall 0.5746557425280299
deviation 4/5   iterations 1980/2000   F1 0.5919903781709344   accuracy 0.7704545454545455   precision 0.6350230414746544   recall 0.5828676154490124
deviation 4/5   iterations 1990/2000   F1 0.5922779922779923   accuracy 0.7818181818181819   precision 0.6250076804915514   recall 0.5824518743667679
deviation 4/5   iterations 2000/2000   F1 0.5984427033272168   accuracy 0.7863636363636364   precision 0.6317050691244239   recall 0.5876249887581656

deviation 5/5   iterations 10/2000   F1 0.37737990530776355   accuracy 0.41638225255972694   precision 0.5399937965260546   recall 0.5179262595929263
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deviation 5/5   iterations 20/2000   F1 0.46617170111287765   accuracy 0.565415244596132   precision 0.5662344913151365   recall 0.5279110985632725
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deviation 5/5   iterations 30/2000   F1 0.4344408001053399   accuracy 0.5108077360637088   precision 0.5519168734491315   recall 0.5216808978052269
deviation 5/5   iterations 40/2000   F1 0.37663578091842853   accuracy 0.40955631399317405   precision 0.5610980148883374   recall 0.5280857543715566
deviation 5/5   iterations 50/2000   F1 0.4845091174631691   accuracy 0.5870307167235495   precision 0.5909801488833747   recall 0.5386012381032594
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deviation 5/5   iterations 60/2000   F1 0.4323146119248068   accuracy 0.49032992036405004   precision 0.5902543424317618   recall 0.5382485935117514
deviation 5/5   iterations 70/2000   F1 0.49905216452564316   accuracy 0.6234357224118316   precision 0.5824875930521092   recall 0.53639942185772
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deviation 5/5   iterations 80/2000   F1 0.48632142719531457   accuracy 0.5858930602957907   precision 0.5986600496277916   recall 0.5417410292481156
deviation 5/5   iterations 90/2000   F1 0.4726509993210783   accuracy 0.5506257110352674   precision 0.6161228287841191   recall 0.5484561541567868
deviation 5/5   iterations 100/2000   F1 0.4924398378080089   accuracy 0.5893060295790671   precision 0.6130831265508685   recall 0.54776791329504
deviation 5/5   iterations 110/2000   F1 0.47799124236592816   accuracy 0.5551763367463026   precision 0.6270285359801488   recall 0.5530069271151516
deviation 5/5   iterations 120/2000   F1 0.5118173403270596   accuracy 0.621160409556314   precision 0.6228225806451613   recall 0.5530292479108635
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deviation 5/5   iterations 130/2000   F1 0.4665614759072704   accuracy 0.5278725824800911   precision 0.6448449131513648   recall 0.5608826934509841
deviation 5/5   iterations 140/2000   F1 0.5000830734625019   accuracy 0.5949943117178612   precision 0.6287965260545906   recall 0.55437811674978
deviation 5/5   iterations 150/2000   F1 0.5129114485204478   accuracy 0.6188850967007964   precision 0.6298573200992557   recall 0.5557886040189756
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deviation 5/5   iterations 160/2000   F1 0.47266474215046866   accuracy 0.540386803185438   precision 0.639454094292804   recall 0.5583169036007056
deviation 5/5   iterations 170/2000   F1 0.5086656642259414   accuracy 0.6109215017064846   precision 0.6295037220843672   recall 0.5552655265526553
deviation 5/5   iterations 180/2000   F1 0.5160891150861961   accuracy 0.6234357224118316   precision 0.6324379652605459   recall 0.5570834982192323
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deviation 5/5   iterations 190/2000   F1 0.5392192026486411   accuracy 0.6541524459613197   precision 0.6540198511166253   recall 0.5680413049197579
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deviation 5/5   iterations 200/2000   F1 0.5523279944756688   accuracy 0.6803185437997725   precision 0.6522084367245657   recall 0.5700748272119723
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deviation 5/5   iterations 210/2000   F1 0.5153223399976647   accuracy 0.6131968145620023   precision 0.6474441687344913   recall 0.5626727138487502
deviation 5/5   iterations 220/2000   F1 0.4891209011846012   accuracy 0.5620022753128555   precision 0.6558746898263028   recall 0.5650459751071717
deviation 5/5   iterations 230/2000   F1 0.5047825152185206   accuracy 0.5915813424345847   precision 0.6518362282878412   recall 0.5637050764169409
deviation 5/5   iterations 240/2000   F1 0.49215471629264734   accuracy 0.5676905574516496   precision 0.6549379652605459   recall 0.5646550831486736
deviation 5/5   iterations 250/2000   F1 0.5146938769089928   accuracy 0.6006825938566553   precision 0.669485111662531   recall 0.5711595561806532
deviation 5/5   iterations 260/2000   F1 0.5651407120953489   accuracy 0.70193401592719   precision 0.6561414392059554   recall 0.5747531986171995
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deviation 5/5   iterations 270/2000   F1 0.5254298578605584   accuracy 0.6348122866894198   precision 0.6430521091811414   recall 0.5620967481338661
deviation 5/5   iterations 280/2000   F1 0.5384015413302756   accuracy 0.6530147895335608   precision 0.6533746898263028   recall 0.5676798756118125
deviation 5/5   iterations 290/2000   F1 0.5196997169463018   accuracy 0.621160409556314   precision 0.6477977667493797   recall 0.5632070165757582
deviation 5/5   iterations 300/2000   F1 0.5582914572864321   accuracy 0.6905574516496018   precision 0.6538523573200992   recall 0.5721001221001221
deviation 5/5   iterations 310/2000   F1 0.5216354225767978   accuracy 0.6257110352673493   precision 0.6462158808933003   recall 0.5628164809978147
deviation 5/5   iterations 320/2000   F1 0.5145455246021655   accuracy 0.608646188850967   precision 0.6531885856079405   recall 0.5648109265752619
deviation 5/5   iterations 330/2000   F1 0.50397522070626   accuracy 0.590443686006826   precision 0.6511910669975186   recall 0.5634132633945298
deviation 5/5   iterations 340/2000   F1 0.5421080048619551   accuracy 0.6621160409556314   precision 0.6502109181141439   recall 0.5672424326575951
deviation 5/5   iterations 350/2000   F1 0.5349481446429275   accuracy 0.6336746302616609   precision 0.6757071960297767   recall 0.5751977911113471
deviation 5/5   iterations 360/2000   F1 0.5357332677819264   accuracy 0.6382252559726962   precision 0.6699627791563276   recall 0.5731964050995437
deviation 5/5   iterations 370/2000   F1 0.5414284164690933   accuracy 0.6552901023890785   precision 0.6588275434243176   recall 0.5700860643621273
deviation 5/5   iterations 380/2000   F1 0.538840036602902   accuracy 0.6575654152445961   precision 0.6476302729528536   recall 0.5657584968223266
deviation 5/5   iterations 390/2000   F1 0.4973170946007396   accuracy 0.5779294653014789   precision 0.6524193548387096   recall 0.5636898096304591
deviation 5/5   iterations 400/2000   F1 0.5029886914378029   accuracy 0.5858930602957907   precision 0.6569354838709678   recall 0.5656722462203023
deviation 5/5   iterations 410/2000   F1 0.5606953365754341   accuracy 0.6916951080773607   precision 0.6586600496277916   recall 0.5742280009287206
deviation 5/5   iterations 420/2000   F1 0.5677774815604727   accuracy 0.7167235494880546   precision 0.6437158808933003   recall 0.5721353842321584
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deviation 5/5   iterations 430/2000   F1 0.5476673856955547   accuracy 0.6678043230944255   precision 0.6575992555831266   recall 0.5708236225565084
deviation 5/5   iterations 440/2000   F1 0.5290787646977841   accuracy 0.6325369738339022   precision 0.6584119106699752   recall 0.5681658017810238
deviation 5/5   iterations 450/2000   F1 0.5383966444863055   accuracy 0.6473265073947668   precision 0.662636476426799   recall 0.57093804792519
deviation 5/5   iterations 460/2000   F1 0.5245434139289147   accuracy 0.6279863481228669   precision 0.6516687344913151   recall 0.5651591066574276
deviation 5/5   iterations 470/2000   F1 0.5346020146659562   accuracy 0.6439135381114903   precision 0.6565384615384615   recall 0.5682110612531762
deviation 5/5   iterations 480/2000   F1 0.5266386943306461   accuracy 0.6291240045506257   precision 0.6564764267990074   recall 0.5671715719170421
deviation 5/5   iterations 490/2000   F1 0.517365424640228   accuracy 0.6143344709897611   precision 0.6522518610421836   recall 0.5646760269424154
deviation 5/5   iterations 500/2000   F1 0.5541609656194171   accuracy 0.6689419795221843   precision 0.6748945409429281   recall 0.57790273556231
deviation 5/5   iterations 510/2000   F1 0.5572196838550387   accuracy 0.676905574516496   precision 0.6710856079404466   recall 0.5772962701375576
deviation 5/5   iterations 520/2000   F1 0.5262825821207462   accuracy 0.626848691695108   precision 0.6593486352357321   recall 0.5681967822439336
deviation 5/5   iterations 530/2000   F1 0.5141384694967779   accuracy 0.6097838452787259   precision 0.6496712158808933   recall 0.5634286765865714
deviation 5/5   iterations 540/2000   F1 0.5427245684598625   accuracy 0.6609783845278726   precision 0.6537282878411911   recall 0.5685588287371077
deviation 5/5   iterations 550/2000   F1 0.5496934102881962   accuracy 0.6666666666666666   precision 0.6652791563275434   recall 0.5738016886052387
deviation 5/5   iterations 560/2000   F1 0.5605523152005715   accuracy 0.689419795221843   precision 0.6615322580645162   recall 0.5750749625187407
deviation 5/5   iterations 570/2000   F1 0.5729251555830858   accuracy 0.714448236632537   precision 0.659075682382134   recall 0.5781369979889085
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deviation 5/5   iterations 580/2000   F1 0.5583867990532474   accuracy 0.6928327645051194   precision 0.6509801488833746   recall 0.571242901469469
deviation 5/5   iterations 590/2000   F1 0.5558773830917776   accuracy 0.689419795221843   precision 0.6490446650124069   recall 0.5699658703071673
deviation 5/5   iterations 600/2000   F1 0.5683423301844355   accuracy 0.70193401592719   precision 0.6644665012406947   recall 0.578161299071923
deviation 5/5   iterations 610/2000   F1 0.5383728799221756   accuracy 0.6609783845278726   precision 0.6412406947890819   recall 0.5634722392586727
deviation 5/5   iterations 620/2000   F1 0.544368170355842   accuracy 0.6632536973833902   precision 0.6550186104218363   recall 0.5693068483120514
deviation 5/5   iterations 630/2000   F1 0.5488624937154349   accuracy 0.6655290102389079   precision 0.6646339950372209   recall 0.5734224912575805
deviation 5/5   iterations 640/2000   F1 0.5466196451707094   accuracy 0.664391353811149   precision 0.6598263027295286   recall 0.5713668395160219
deviation 5/5   iterations 650/2000   F1 0.554679018600275   accuracy 0.6814562002275313   precision 0.657016129032258   recall 0.5721777367142319
deviation 5/5   iterations 660/2000   F1 0.5416288276527513   accuracy 0.6655290102389079   precision 0.6438213399503723   recall 0.564978306931692
deviation 5/5   iterations 670/2000   F1 0.5331562974203339   accuracy 0.6496018202502845   precision 0.6431141439205955   recall 0.5632234938174164
deviation 5/5   iterations 680/2000   F1 0.5491417168562786   accuracy 0.6780432309442548   precision 0.6467555831265508   recall 0.5675644028103045
deviation 5/5   iterations 690/2000   F1 0.5736269192575052   accuracy 0.7110352673492605   precision 0.6654652605459057   recall 0.580133751532194
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deviation 5/5   iterations 700/2000   F1 0.5126348088613948   accuracy 0.6166097838452788   precision 0.6327295285359802   recall 0.5568468037621552
deviation 5/5   iterations 710/2000   F1 0.5246254618743702   accuracy 0.6336746302616609   precision 0.6424069478908189   recall 0.5617594834543986
deviation 5/5   iterations 720/2000   F1 0.5702848258507109   accuracy 0.7224118316268487   precision 0.6427791563275433   recall 0.5728335991493887
deviation 5/5   iterations 730/2000   F1 0.5566152919305363   accuracy 0.6780432309442548   precision 0.6675682382133995   recall 0.5760216143194867
deviation 5/5   iterations 740/2000   F1 0.5720611418503292   accuracy 0.7133105802047781   precision 0.6584305210918114   recall 0.5776591862798759
deviation 5/5   iterations 750/2000   F1 0.562384674182008   accuracy 0.6939704209328783   precision 0.6599503722084368   recall 0.5750853242320819
deviation 5/5   iterations 760/2000   F1 0.5870535219219097   accuracy 0.7349260523321957   precision 0.6665260545905707   recall 0.5855612927902085
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deviation 5/5   iterations 770/2000   F1 0.5661026780655236   accuracy 0.7076222980659841   precision 0.6510421836228288   recall 0.5735864795270735
deviation 5/5   iterations 780/2000   F1 0.5746584087512656   accuracy 0.7167235494880546   precision 0.6603660049627792   recall 0.5791014907835794
deviation 5/5   iterations 790/2000   F1 0.5583867990532474   accuracy 0.6928327645051194   precision 0.6509801488833746   recall 0.571242901469469
deviation 5/5   iterations 800/2000   F1 0.5641977410537384   accuracy 0.6985210466439136   precision 0.6583684863523573   recall 0.5751277191825972
deviation 5/5   iterations 810/2000   F1 0.5906948925593495   accuracy 0.7440273037542662   precision 0.6633622828784119   recall 0.5865373240269727
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deviation 5/5   iterations 820/2000   F1 0.5879043600562588   accuracy 0.745164960182025   precision 0.655682382133995   recall 0.583595373874114
deviation 5/5   iterations 830/2000   F1 0.567344929743585   accuracy 0.6985210466439136   precision 0.6666935483870968   recall 0.5785205834911284
deviation 5/5   iterations 840/2000   F1 0.5629232051713295   accuracy 0.6905574516496018   precision 0.6663399503722085   recall 0.5771848013816926
deviation 5/5   iterations 850/2000   F1 0.5548248170927216   accuracy 0.6837315130830489   precision 0.6541439205955335   recall 0.5712982198400037
deviation 5/5   iterations 860/2000   F1 0.5815900974932271   accuracy 0.7235494880546075   precision 0.6683995037220843   recall 0.5837798133425509
deviation 5/5   iterations 870/2000   F1 0.5750993217420202   accuracy 0.7087599544937428   precision 0.6725   recall 0.5825849103674401
deviation 5/5   iterations 880/2000   F1 0.5506695061748464   accuracy 0.6780432309442548   precision 0.6509181141439206   recall 0.5692694927222615
deviation 5/5   iterations 890/2000   F1 0.5472036977738176   accuracy 0.6632536973833902   precision 0.6633436724565757   recall 0.572669316111939
deviation 5/5   iterations 900/2000   F1 0.5461098609597593   accuracy 0.6598407281001137   precision 0.6655707196029776   recall 0.5732276119402985
deviation 5/5   iterations 910/2000   F1 0.5549382902481359   accuracy 0.6757679180887372   precision 0.6662779156327543   recall 0.5752270507538422
deviation 5/5   iterations 920/2000   F1 0.5492431085927021   accuracy 0.6803185437997725   precision 0.6438833746898263   recall 0.5666578532917955
deviation 5/5   iterations 930/2000   F1 0.5461098609597593   accuracy 0.6598407281001137   precision 0.6655707196029776   recall 0.5732276119402985
deviation 5/5   iterations 940/2000   F1 0.5609779541894956   accuracy 0.6985210466439136   precision 0.6500434243176179   recall 0.5717000260867503
deviation 5/5   iterations 950/2000   F1 0.5644329145655406   accuracy 0.6905574516496018   precision 0.6705024813895781   recall 0.5788647606367716
deviation 5/5   iterations 960/2000   F1 0.5622886334976499   accuracy 0.6837315130830489   precision 0.6749565756823821   recall 0.5797127255460588
deviation 5/5   iterations 970/2000   F1 0.5737909044360657   accuracy 0.7155858930602957   precision 0.6597208436724566   recall 0.5786177541099738
deviation 5/5   iterations 980/2000   F1 0.5790696385885481   accuracy 0.7246871444823664   precision 0.6607196029776674   recall 0.5808523386885369
deviation 5/5   iterations 990/2000   F1 0.597058470713233   accuracy 0.7565415244596132   precision 0.6621339950372208   recall 0.5895964457608294
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deviation 5/5   iterations 1000/2000   F1 0.5933820760123794   accuracy 0.7428896473265074   precision 0.6710421836228287   recall 0.5894300504690115
deviation 5/5   iterations 1010/2000   F1 0.5943331601810442   accuracy 0.7463026166097838   precision 0.6688151364764268   recall 0.5894258448676999
deviation 5/5   iterations 1020/2000   F1 0.5658982125319928   accuracy 0.7007963594994312   precision 0.6596588089330024   recall 0.5760145312776892
deviation 5/5   iterations 1030/2000   F1 0.5816641488195741   accuracy 0.7258248009101251   precision 0.6655272952853598   recall 0.583083198405779
deviation 5/5   iterations 1040/2000   F1 0.5488656055021754   accuracy 0.6734926052332195   precision 0.6525000000000001   recall 0.5693815689949084
deviation 5/5   iterations 1050/2000   F1 0.5574532357383526   accuracy 0.689419795221843   precision 0.6532071960297767   recall 0.5716769212909217
deviation 5/5   iterations 1060/2000   F1 0.5903004051795342   accuracy 0.7554038680318543   precision 0.649001240694789   recall 0.5836001782059671
deviation 5/5   iterations 1070/2000   F1 0.5905462403832041   accuracy 0.7508532423208191   precision 0.6547456575682382   recall 0.5847604485219164
deviation 5/5   iterations 1080/2000   F1 0.5942855441239969   accuracy 0.7531285551763367   precision 0.6601985111662532   recall 0.5877471967380224
deviation 5/5   iterations 1090/2000   F1 0.5998720382626572   accuracy 0.7531285551763367   precision 0.6726861042183623   recall 0.5929834054834056
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deviation 5/5   iterations 1100/2000   F1 0.5755723572639909   accuracy 0.7201365187713311   precision 0.6581389578163772   recall 0.5788474148489985
deviation 5/5   iterations 1110/2000   F1 0.5968946540880502   accuracy 0.7610921501706485   precision 0.6563895781637717   recall 0.5885742393366594
deviation 5/5   iterations 1120/2000   F1 0.5574532357383526   accuracy 0.689419795221843   precision 0.6532071960297767   recall 0.5716769212909217
deviation 5/5   iterations 1130/2000   F1 0.5879043600562588   accuracy 0.745164960182025   precision 0.655682382133995   recall 0.583595373874114
deviation 5/5   iterations 1140/2000   F1 0.5817353156716493   accuracy 0.7303754266211604   precision 0.6597828784119106   recall 0.5817018550003806
deviation 5/5   iterations 1150/2000   F1 0.589526853343387   accuracy 0.7519908987485779   precision 0.651228287841191   recall 0.5835698712411042
deviation 5/5   iterations 1160/2000   F1 0.5551155901573455   accuracy 0.6905574516496018   precision 0.6455272952853598   recall 0.5686698671037995
deviation 5/5   iterations 1170/2000   F1 0.5761418220725708   accuracy 0.7349260523321957   precision 0.6415508684863525   recall 0.574983240664064
deviation 5/5   iterations 1180/2000   F1 0.5669233922462042   accuracy 0.7155858930602957   precision 0.6430707196029777   recall 0.5716509258108612
deviation 5/5   iterations 1190/2000   F1 0.5416775655361291   accuracy 0.6575654152445961   precision 0.6559553349875931   recall 0.5691350691350692
deviation 5/5   iterations 1200/2000   F1 0.5700579426593424   accuracy 0.7042093287827076   precision 0.66575682382134   recall 0.5790626109598769
deviation 5/5   iterations 1210/2000   F1 0.5685674381484437   accuracy 0.7201365187713311   precision 0.6414888337468982   recall 0.571836220472441
deviation 5/5   iterations 1220/2000   F1 0.5644193781634129   accuracy 0.7076222980659841   precision 0.646879652605459   recall 0.5718495096135172
deviation 5/5   iterations 1230/2000   F1 0.5806645648386294   accuracy 0.7383390216154722   precision 0.6476488833746898   recall 0.5784227798718928
deviation 5/5   iterations 1240/2000   F1 0.6020987654320987   accuracy 0.7747440273037542   precision 0.6516439205955334   recall 0.5913026264678638
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deviation 5/5   iterations 1250/2000   F1 0.5978250822642067   accuracy 0.7747440273037542   precision 0.6433188585607941   recall 0.5875750545851528
deviation 5/5   iterations 1260/2000   F1 0.5998554492400298   accuracy 0.7599544937428896   precision 0.6640694789081886   recall 0.5914902449149024
deviation 5/5   iterations 1270/2000   F1 0.5816995733399779   accuracy 0.7349260523321957   precision 0.6540384615384616   recall 0.5803342650826927
deviation 5/5   iterations 1280/2000   F1 0.5439264748851169   accuracy 0.6666666666666666   precision 0.6486290322580646   recall 0.5670594491715182
deviation 5/5   iterations 1290/2000   F1 0.5888841957782608   accuracy 0.7417519908987485   precision 0.6620719602977667   recall 0.5854014121338912
deviation 5/5   iterations 1300/2000   F1 0.5825484019059983   accuracy 0.726962457337884   precision 0.6661724565756824   recall 0.583595476163727
deviation 5/5   iterations 1310/2000   F1 0.5935868718931545   accuracy 0.7804323094425484   precision 0.6298945409429281   recall 0.5835554668794892
deviation 5/5   iterations 1320/2000   F1 0.5984006631031529   accuracy 0.7918088737201365   precision 0.6280210918114144   recall 0.5875859434682964
deviation 5/5   iterations 1330/2000   F1 0.6030565673561173   accuracy 0.7758816837315131   precision 0.6522890818858561   recall 0.5920265407107512
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deviation 5/5   iterations 1340/2000   F1 0.6070864499210299   accuracy 0.7781569965870307   precision 0.6577419354838709   recall 0.5953216374269006
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deviation 5/5   iterations 1350/2000   F1 0.5917687554025737   accuracy 0.7622298065984073   precision 0.6445471464019851   recall 0.5837538819875776
deviation 5/5   iterations 1360/2000   F1 0.5961947820391529   accuracy 0.770193401592719   precision 0.6449007444168735   recall 0.5866150491701153
deviation 5/5   iterations 1370/2000   F1 0.5945499328257948   accuracy 0.7656427758816837   precision 0.6464826302729528   recall 0.5857407407407407
deviation 5/5   iterations 1380/2000   F1 0.5926929246123686   accuracy 0.7633674630261661   precision 0.6451923076923077   recall 0.5844104790894271
deviation 5/5   iterations 1390/2000   F1 0.5851207770004511   accuracy 0.7440273037542662   precision 0.6508746898263027   recall 0.5812389770723104
deviation 5/5   iterations 1400/2000   F1 0.590847430577721   accuracy 0.7610921501706485   precision 0.6439019851116625   recall 0.5831028602544995
deviation 5/5   iterations 1410/2000   F1 0.5857672181015363   accuracy 0.7599544937428896   precision 0.6349317617866005   recall 0.5787110081783311
deviation 5/5   iterations 1420/2000   F1 0.5952570514783437   accuracy 0.7690557451649602   precision 0.6442555831265508   recall 0.5859222583505763
deviation 5/5   iterations 1430/2000   F1 0.5854568840048289   accuracy 0.7622298065984073   precision 0.632059553349876   recall 0.578105049971382
deviation 5/5   iterations 1440/2000   F1 0.56952866091711   accuracy 0.7167235494880546   precision 0.64787841191067   recall 0.5738942826321467
deviation 5/5   iterations 1450/2000   F1 0.5960626098963334   accuracy 0.757679180887372   precision 0.6586166253101737   recall 0.5884495641344957
deviation 5/5   iterations 1460/2000   F1 0.5861030085840486   accuracy 0.7428896473265074   precision 0.6543920595533499   recall 0.5824488173325383
deviation 5/5   iterations 1470/2000   F1 0.5762638850426167   accuracy 0.732650739476678   precision 0.644423076923077   recall 0.5757066298989321
deviation 5/5   iterations 1480/2000   F1 0.5761418220725708   accuracy 0.7349260523321957   precision 0.6415508684863525   recall 0.574983240664064
deviation 5/5   iterations 1490/2000   F1 0.5773814774952803   accuracy 0.7519908987485779   precision 0.6262531017369728   recall 0.5724322015801837
deviation 5/5   iterations 1500/2000   F1 0.6059165230793838   accuracy 0.7895335608646189   precision 0.6433808933002482   recall 0.5938027597402598
deviation 5/5   iterations 1510/2000   F1 0.5803959174707244   accuracy 0.7428896473265074   precision 0.6419044665012407   recall 0.5770575632629962
deviation 5/5   iterations 1520/2000   F1 0.6118918118918119   accuracy 0.7963594994311718   precision 0.6472518610421836   recall 0.5989124093674473
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deviation 5/5   iterations 1530/2000   F1 0.6118918118918119   accuracy 0.7963594994311718   precision 0.6472518610421836   recall 0.5989124093674473
deviation 5/5   iterations 1540/2000   F1 0.5652204635387224   accuracy 0.7133105802047781   precision 0.6417803970223326   recall 0.5706911056948792
deviation 5/5   iterations 1550/2000   F1 0.5986408128524311   accuracy 0.7656427758816837   precision 0.6548076923076923   recall 0.5894008655279147
deviation 5/5   iterations 1560/2000   F1 0.5972080498866214   accuracy 0.7792946530147895   precision 0.6375744416873449   recall 0.5867101970597435
deviation 5/5   iterations 1570/2000   F1 0.5988825988825989   accuracy 0.7895335608646189   precision 0.6308933002481389   recall 0.5879239936661389
deviation 5/5   iterations 1580/2000   F1 0.6160644585703134   accuracy 0.7861205915813424   precision 0.6664205955334987   recall 0.6024635245588572
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deviation 5/5   iterations 1590/2000   F1 0.6165702154884113   accuracy 0.8122866894197952   precision 0.6396339950372208   recall 0.6045918367346939
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deviation 5/5   iterations 1600/2000   F1 0.6065624569618511   accuracy 0.7929465301478953   precision 0.6411538461538462   recall 0.5943914378163113
deviation 5/5   iterations 1610/2000   F1 0.6113775382822904   accuracy 0.8065984072810012   precision 0.6364081885856079   recall 0.5994941359588793
deviation 5/5   iterations 1620/2000   F1 0.59589094936935   accuracy 0.7804323094425484   precision 0.6340570719602978   recall 0.5855245452674571
deviation 5/5   iterations 1630/2000   F1 0.6036071831648535   accuracy 0.7895335608646189   precision 0.6392183622828784   recall 0.5918714896264881
deviation 5/5   iterations 1640/2000   F1 0.6139657444005271   accuracy 0.8179749715585893   precision 0.6303722084367246   recall 0.6039901828833821
deviation 5/5   iterations 1650/2000   F1 0.5591558575657152   accuracy 0.7098976109215017   precision 0.6315198511166253   recall 0.5657199717293457
deviation 5/5   iterations 1660/2000   F1 0.5879421998840132   accuracy 0.7792946530147895   precision 0.620924317617866   recall 0.5787736001551791
deviation 5/5   iterations 1670/2000   F1 0.604590603651807   accuracy 0.8168373151308305   precision 0.6172394540942928   recall 0.5964352777891171
deviation 5/5   iterations 1680/2000   F1 0.5733717746619099   accuracy 0.7337883959044369   precision 0.63674317617866   recall 0.5726302817829559
deviation 5/5   iterations 1690/2000   F1 0.5681933550573941   accuracy 0.726962457337884   precision 0.6328722084367245   recall 0.5694727350571507
deviation 5/5   iterations 1700/2000   F1 0.5996345702797788   accuracy 0.8020477815699659   precision 0.6213399503722085   recall 0.589437585733882
deviation 5/5   iterations 1710/2000   F1 0.5924731399544438   accuracy 0.7906712172923777   precision 0.6190508684863524   recall 0.5826101554832378
deviation 5/5   iterations 1720/2000   F1 0.606667135720819   accuracy 0.8191126279863481   precision 0.618529776674938   recall 0.5987441860465116
deviation 5/5   iterations 1730/2000   F1 0.6013324195206515   accuracy 0.7952218430034129   precision 0.6299565756823822   recall 0.5901776951288806
deviation 5/5   iterations 1740/2000   F1 0.6126790798571881   accuracy 0.8225255972696246   precision 0.6246277915632754   recall 0.6044960885486019
deviation 5/5   iterations 1750/2000   F1 0.5930555555555554   accuracy 0.78839590443686   precision 0.6219230769230769   recall 0.5830277632268203
deviation 5/5   iterations 1760/2000   F1 0.5969027797375477   accuracy 0.7929465301478953   precision 0.6245037220843672   recall 0.5863939253060592
deviation 5/5   iterations 1770/2000   F1 0.5925507144637034   accuracy 0.8031854379977247   precision 0.6094975186104219   recall 0.5838543250228032
deviation 5/5   iterations 1780/2000   F1 0.5740631650957738   accuracy 0.7679180887372014   precision 0.6061476426799007   recall 0.5674436754063727
deviation 5/5   iterations 1790/2000   F1 0.5811493376536738   accuracy 0.7895335608646189   precision 0.6017555831265509   recall 0.5730841204776332
deviation 5/5   iterations 1800/2000   F1 0.6035602129223367   accuracy 0.8156996587030717   precision 0.6165942928039703   recall 0.5953054642813679
deviation 5/5   iterations 1810/2000   F1 0.5969027797375477   accuracy 0.7929465301478953   precision 0.6245037220843672   recall 0.5863939253060592
deviation 5/5   iterations 1820/2000   F1 0.5847247284618948   accuracy 0.7667804323094426   precision 0.6263151364764268   recall 0.5768969319778244
deviation 5/5   iterations 1830/2000   F1 0.6215803686744159   accuracy 0.8122866894197952   precision 0.6479590570719603   recall 0.6084846444945783
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deviation 5/5   iterations 1840/2000   F1 0.6133488496403038   accuracy 0.820250284414107   precision 0.6275   recall 0.6042199099428015
deviation 5/5   iterations 1850/2000   F1 0.602793468214029   accuracy 0.7997724687144482   precision 0.6283746898263027   recall 0.591738482817321
deviation 5/5   iterations 1860/2000   F1 0.5975349941131398   accuracy 0.7770193401592719   precision 0.6404466501240695   recall 0.5871385903870431
deviation 5/5   iterations 1870/2000   F1 0.6173631614808085   accuracy 0.8430034129692833   precision 0.6154280397022333   recall 0.619428754813864
deviation 5/5   iterations 1880/2000   F1 0.6171655889280038   accuracy 0.8213879408418657   precision 0.6323076923076923   recall 0.6074804974903747
deviation 5/5   iterations 1890/2000   F1 0.6068055093209055   accuracy 0.8043230944254836   precision 0.630955334987593   recall 0.5955169043654528
deviation 5/5   iterations 1900/2000   F1 0.6049342741156002   accuracy 0.78839590443686   precision 0.6427357320099255   recall 0.5929821867321867
deviation 5/5   iterations 1910/2000   F1 0.5969521240728253   accuracy 0.7872582480091013   precision 0.6296029776674938   recall 0.5862820894043017
deviation 5/5   iterations 1920/2000   F1 0.6032190032190032   accuracy 0.7918088737201365   precision 0.6363461538461539   recall 0.5915867988999084
deviation 5/5   iterations 1930/2000   F1 0.6012630892718901   accuracy 0.8100113765642776   precision 0.617531017369727   recall 0.5920960528874198
deviation 5/5   iterations 1940/2000   F1 0.5998295967547084   accuracy 0.7963594994311718   precision 0.626439205955335   recall 0.5890199161425577
deviation 5/5   iterations 1950/2000   F1 0.6182230195448966   accuracy 0.8168373151308305   precision 0.6380521091811415   recall 0.6069307501585655
deviation 5/5   iterations 1960/2000   F1 0.6108897742363878   accuracy 0.8088737201365188   precision 0.6335359801488833   recall 0.5994842311531778
deviation 5/5   iterations 1970/2000   F1 0.6122493098260323   accuracy 0.8282138794084186   precision 0.6195285359801489   recall 0.6065236620964175
deviation 5/5   iterations 1980/2000   F1 0.610555892051955   accuracy 0.820250284414107   precision 0.6233374689826303   recall 0.6020951011605218
deviation 5/5   iterations 1990/2000   F1 0.595484258030007   accuracy 0.782707622298066   precision 0.6311848635235733   recall 0.5850958520450046
deviation 5/5   iterations 2000/2000   F1 0.6149189533633358   accuracy 0.8373151308304891   precision 0.61636476426799   recall 0.6135417171081303

