deviation 1/5   iterations 10/2000   F1 0.19915627443717332   accuracy 0.211340206185567   precision 0.4124105001409068   recall 0.3581851776300869
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deviation 1/5   iterations 20/2000   F1 0.47255283544819005   accuracy 0.6095360824742269   precision 0.47339661512196723   recall 0.4819494542210583
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deviation 1/5   iterations 30/2000   F1 0.3618925368166248   accuracy 0.49097938144329895   precision 0.47267369778112106   recall 0.43855623157851015
deviation 1/5   iterations 40/2000   F1 0.4588970301221957   accuracy 0.6275773195876289   precision 0.46513015906079486   recall 0.45537560397242544
deviation 1/5   iterations 50/2000   F1 0.47776158434802457   accuracy 0.5966494845360825   precision 0.4864432251074686   recall 0.48721657014915526
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deviation 1/5   iterations 60/2000   F1 0.44618781666034374   accuracy 0.5528350515463918   precision 0.49328248553696835   recall 0.46349243963125875
deviation 1/5   iterations 70/2000   F1 0.4861707421707422   accuracy 0.6146907216494846   precision 0.5082113599690322   recall 0.492696875568753
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deviation 1/5   iterations 80/2000   F1 0.5147064377172517   accuracy 0.6623711340206185   precision 0.5178847626612374   recall 0.5150603962246405
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deviation 1/5   iterations 90/2000   F1 0.49340421453060457   accuracy 0.5966494845360825   precision 0.5172942321654057   recall 0.5055295311826277
deviation 1/5   iterations 100/2000   F1 0.47145174001804113   accuracy 0.5773195876288659   precision 0.4913935745985296   recall 0.4822070649759714
deviation 1/5   iterations 110/2000   F1 0.48485162180814356   accuracy 0.5889175257731959   precision 0.5009610405986272   recall 0.49919976580100167
deviation 1/5   iterations 120/2000   F1 0.5088949504561916   accuracy 0.6288659793814433   precision 0.5301832361691518   recall 0.5212860505425216
deviation 1/5   iterations 130/2000   F1 0.5100128803672483   accuracy 0.6314432989690721   precision 0.5283995512713133   recall 0.5199076070293901
deviation 1/5   iterations 140/2000   F1 0.48852622566534887   accuracy 0.5850515463917526   precision 0.510138887611597   recall 0.5042733173970524
deviation 1/5   iterations 150/2000   F1 0.47154127923358696   accuracy 0.5657216494845361   precision 0.511030956716627   recall 0.4830127958482609
deviation 1/5   iterations 160/2000   F1 0.4777447499097107   accuracy 0.5940721649484536   precision 0.513579395262718   recall 0.4879212843811825
deviation 1/5   iterations 170/2000   F1 0.4790561188037776   accuracy 0.5760309278350515   precision 0.5286167609002255   recall 0.5012166784539772
deviation 1/5   iterations 180/2000   F1 0.4778109918287647   accuracy 0.5747422680412371   precision 0.5045606929475259   recall 0.4920553120054267
deviation 1/5   iterations 190/2000   F1 0.49864079500368536   accuracy 0.6082474226804123   precision 0.5141119061536474   recall 0.5125198745455575
deviation 1/5   iterations 200/2000   F1 0.4818602267977294   accuracy 0.5760309278350515   precision 0.5109697437027245   recall 0.4979923706174718
deviation 1/5   iterations 210/2000   F1 0.5080625001118797   accuracy 0.6134020618556701   precision 0.5212076334890842   recall 0.5255920222505335
deviation 1/5   iterations 220/2000   F1 0.49947803216758874   accuracy 0.6172680412371134   precision 0.5093822480602586   recall 0.5108863039595185
deviation 1/5   iterations 230/2000   F1 0.49471244701370226   accuracy 0.6121134020618557   precision 0.5076388888888889   recall 0.5045922058801375
deviation 1/5   iterations 240/2000   F1 0.4909904162965202   accuracy 0.6224226804123711   precision 0.513333763748194   recall 0.4913231144069436
deviation 1/5   iterations 250/2000   F1 0.4668071249365006   accuracy 0.5592783505154639   precision 0.5209141213995864   recall 0.4869808646552099
deviation 1/5   iterations 260/2000   F1 0.4651271642041997   accuracy 0.5631443298969072   precision 0.5193976221244583   recall 0.4856202547932009
deviation 1/5   iterations 270/2000   F1 0.49168087734576876   accuracy 0.5979381443298969   precision 0.5156569996419621   recall 0.5045034447855096
deviation 1/5   iterations 280/2000   F1 0.48499641622290923   accuracy 0.5876288659793815   precision 0.5197916475276256   recall 0.4974383873819182
deviation 1/5   iterations 290/2000   F1 0.4822418570716567   accuracy 0.5889175257731959   precision 0.5233514011895499   recall 0.4929770023261107
deviation 1/5   iterations 300/2000   F1 0.5047482919813017   accuracy 0.6327319587628866   precision 0.5184740105113207   recall 0.509830535526628
deviation 1/5   iterations 310/2000   F1 0.5047511436956779   accuracy 0.6288659793814433   precision 0.5193162053737227   recall 0.5103323207239647
deviation 1/5   iterations 320/2000   F1 0.5056942191445115   accuracy 0.6262886597938144   precision 0.5207141872282981   recall 0.5124770412099847
deviation 1/5   iterations 330/2000   F1 0.48216378759616   accuracy 0.5708762886597938   precision 0.5314792291552592   recall 0.5044621993777766
deviation 1/5   iterations 340/2000   F1 0.4891443811757705   accuracy 0.5747422680412371   precision 0.5216795566946847   recall 0.5158914117940694
deviation 1/5   iterations 350/2000   F1 0.4886316935720487   accuracy 0.5773195876288659   precision 0.5206700868574557   recall 0.5120290419787047
deviation 1/5   iterations 360/2000   F1 0.4904437402045058   accuracy 0.5876288659793815   precision 0.515300858421538   recall 0.5067929110015306
deviation 1/5   iterations 370/2000   F1 0.49788695895014273   accuracy 0.6301546391752577   precision 0.5158663763645142   recall 0.5007179876801229
deviation 1/5   iterations 380/2000   F1 0.500315155019739   accuracy 0.6353092783505154   precision 0.5079395767197251   recall 0.5038803256147825
deviation 1/5   iterations 390/2000   F1 0.49030799556509613   accuracy 0.5966494845360825   precision 0.5041666666666668   recall 0.5085946390741811
deviation 1/5   iterations 400/2000   F1 0.5040621658710714   accuracy 0.6108247422680413   precision 0.5250122892980036   recall 0.5201924161380699
deviation 1/5   iterations 410/2000   F1 0.49340155974394034   accuracy 0.5927835051546392   precision 0.5202944447292602   recall 0.5087003380657654
deviation 1/5   iterations 420/2000   F1 0.47188596249441894   accuracy 0.5721649484536082   precision 0.5248035717143269   recall 0.4850306042554023
deviation 1/5   iterations 430/2000   F1 0.4719246996783753   accuracy 0.5695876288659794   precision 0.5120836130518045   recall 0.4825110106509241
deviation 1/5   iterations 440/2000   F1 0.4711631819022591   accuracy 0.5425257731958762   precision 0.5208666182522391   recall 0.5023152802224402
deviation 1/5   iterations 450/2000   F1 0.4952570478488463   accuracy 0.6005154639175257   precision 0.5250700300330027   recall 0.5068379430064197
deviation 1/5   iterations 460/2000   F1 0.4719516315719788   accuracy 0.5515463917525774   precision 0.5319603671885128   recall 0.5003781711224329
deviation 1/5   iterations 470/2000   F1 0.47003251975662624   accuracy 0.5335051546391752   precision 0.5256074600597569   recall 0.5017684630202143
deviation 1/5   iterations 480/2000   F1 0.49187690109550636   accuracy 0.5734536082474226   precision 0.5385331844217786   recall 0.5197716152605566
deviation 1/5   iterations 490/2000   F1 0.5058325082355917   accuracy 0.6005154639175257   precision 0.5356858808678374   recall 0.5241995316834357
deviation 1/5   iterations 500/2000   F1 0.5002630921564513   accuracy 0.604381443298969   precision 0.5232022315706748   recall 0.5185447984980646
deviation 1/5   iterations 510/2000   F1 0.5057296446233616   accuracy 0.615979381443299   precision 0.5193589034359826   recall 0.5199194554140399
deviation 1/5   iterations 520/2000   F1 0.4854513583886046   accuracy 0.5773195876288659   precision 0.5242813305693631   recall 0.5042070723048692
deviation 1/5   iterations 530/2000   F1 0.4837209445902146   accuracy 0.5670103092783505   precision 0.5323952178663331   recall 0.511160852611388
deviation 1/5   iterations 540/2000   F1 0.4691203441691007   accuracy 0.5438144329896907   precision 0.5049901705623433   recall 0.5008264553664021
deviation 1/5   iterations 550/2000   F1 0.505630106865372   accuracy 0.595360824742268   precision 0.5289246845445527   recall 0.531831723622381
deviation 1/5   iterations 560/2000   F1 0.5106222612160854   accuracy 0.6018041237113402   precision 0.5380812579710293   recall 0.5346158090024108
deviation 1/5   iterations 570/2000   F1 0.44528487385630244   accuracy 0.5   precision 0.5159973883056951   recall 0.4760584048002651
deviation 1/5   iterations 580/2000   F1 0.4399024966042721   accuracy 0.47809278350515466   precision 0.5239180219398856   recall 0.4827073436776654
deviation 1/5   iterations 590/2000   F1 0.46746527343261174   accuracy 0.5309278350515464   precision 0.524048193159233   recall 0.5040057311980183
deviation 1/5   iterations 600/2000   F1 0.5090903278355846   accuracy 0.6172680412371134   precision 0.526850295916277   recall 0.5271780771496778
deviation 1/5   iterations 610/2000   F1 0.4684894236394522   accuracy 0.5347938144329897   precision 0.5226144736262542   recall 0.5016937489795529
deviation 1/5   iterations 620/2000   F1 0.46814737811219337   accuracy 0.5373711340206185   precision 0.5162246940068633   recall 0.5003153054664212
deviation 1/5   iterations 630/2000   F1 0.48916872375985365   accuracy 0.5773195876288659   precision 0.5137029388026396   recall 0.5133765005409133
deviation 1/5   iterations 640/2000   F1 0.47057139940194087   accuracy 0.5360824742268041   precision 0.5323701591866475   recall 0.503336684268236
deviation 1/5   iterations 650/2000   F1 0.47245022799066616   accuracy 0.5631443298969072   precision 0.506696478936799   recall 0.49850262476328683
deviation 1/5   iterations 660/2000   F1 0.494252991055476   accuracy 0.5914948453608248   precision 0.5185399668687593   recall 0.5142056431698134
deviation 1/5   iterations 670/2000   F1 0.49405995380040024   accuracy 0.5721649484536082   precision 0.5237237651923582   recall 0.5281569328725899
deviation 1/5   iterations 680/2000   F1 0.4431913116123643   accuracy 0.4896907216494845   precision 0.5240983219001395   recall 0.49273689949353244
deviation 1/5   iterations 690/2000   F1 0.483661877094713   accuracy 0.5682989690721649   precision 0.5226714907270056   recall 0.5108084954953744
deviation 1/5   iterations 700/2000   F1 0.49072326931926974   accuracy 0.5824742268041238   precision 0.5150930254123778   recall 0.51451765063226
deviation 1/5   iterations 710/2000   F1 0.4786088695732313   accuracy 0.5554123711340206   precision 0.5224881079601151   recall 0.5109485588740533
deviation 1/5   iterations 720/2000   F1 0.483787030646934   accuracy 0.5554123711340206   precision 0.5281415908368551   recall 0.5205807255690177
deviation 1/5   iterations 730/2000   F1 0.4534778291259023   accuracy 0.5103092783505154   precision 0.5344176245590065   recall 0.493310915049525
deviation 1/5   iterations 740/2000   F1 0.49869521737216993   accuracy 0.5992268041237113   precision 0.5144799062852379   recall 0.5198875747089512
deviation 1/5   iterations 750/2000   F1 0.4364691632904358   accuracy 0.49742268041237114   precision 0.5319919898904666   recall 0.4867654764943928
deviation 1/5   iterations 760/2000   F1 0.5083926822518477   accuracy 0.595360824742268   precision 0.5362924205860069   recall 0.5419266287762654
deviation 1/5   iterations 770/2000   F1 0.4903820011733681   accuracy 0.5721649484536082   precision 0.5310162182267324   recall 0.526228292721061
deviation 1/5   iterations 780/2000   F1 0.4781225957696546   accuracy 0.5412371134020618   precision 0.5205890843201084   recall 0.52061040760479
deviation 1/5   iterations 790/2000   F1 0.4943893935556938   accuracy 0.5966494845360825   precision 0.5125868973875719   recall 0.5114487561435502
deviation 1/5   iterations 800/2000   F1 0.4695348275786054   accuracy 0.538659793814433   precision 0.5241918474054409   recall 0.5056711824891461
deviation 1/5   iterations 810/2000   F1 0.48017053096082146   accuracy 0.5541237113402062   precision 0.5215530878875289   recall 0.5145511192651884
deviation 1/5   iterations 820/2000   F1 0.4529817312513029   accuracy 0.5231958762886598   precision 0.5379066741029931   recall 0.49430731941087064
deviation 1/5   iterations 830/2000   F1 0.5025249473952725   accuracy 0.6005154639175257   precision 0.5197465088438719   recall 0.5249658086563239
deviation 1/5   iterations 840/2000   F1 0.4847968010029522   accuracy 0.5708762886597938   precision 0.5271031401918277   recall 0.5096151473658109
deviation 1/5   iterations 850/2000   F1 0.4744250229322651   accuracy 0.5502577319587629   precision 0.5167539071555364   recall 0.5109438765227312
deviation 1/5   iterations 860/2000   F1 0.45499612871758227   accuracy 0.5154639175257731   precision 0.5494886478188891   recall 0.4997901085124741
deviation 1/5   iterations 870/2000   F1 0.4754717965543225   accuracy 0.5322164948453608   precision 0.5295471007335414   recall 0.5212926058343726
deviation 1/5   iterations 880/2000   F1 0.4573808258018784   accuracy 0.5077319587628866   precision 0.517919471322332   recall 0.5109144794996481
deviation 1/5   iterations 890/2000   F1 0.5071101010475566   accuracy 0.6005154639175257   precision 0.5290050659606624   recall 0.5349681661184245
deviation 1/5   iterations 900/2000   F1 0.49687006544788126   accuracy 0.5747422680412371   precision 0.5228698186527193   recall 0.53497064980043
deviation 1/5   iterations 910/2000   F1 0.42826170237573075   accuracy 0.4742268041237113   precision 0.5449141277788403   recall 0.47336597135785335
deviation 1/5   iterations 920/2000   F1 0.5037005563940965   accuracy 0.6069587628865979   precision 0.5185003403652083   recall 0.5247106815834165
deviation 1/5   iterations 930/2000   F1 0.48612622908630293   accuracy 0.5567010309278351   precision 0.5398255725070181   recall 0.5258440548999586
deviation 1/5   iterations 940/2000   F1 0.4167436936331688   accuracy 0.4484536082474227   precision 0.5342426716917923   recall 0.473553550423427
deviation 1/5   iterations 950/2000   F1 0.5021446501354504   accuracy 0.604381443298969   precision 0.5215218151399315   recall 0.5247416665343393
deviation 1/5   iterations 960/2000   F1 0.5073903953538198   accuracy 0.6146907216494846   precision 0.5201098452242308   recall 0.5264686805663283
deviation 1/5   iterations 970/2000   F1 0.5063016171138693   accuracy 0.6018041237113402   precision 0.5341802381812384   recall 0.5267938393285753
deviation 1/5   iterations 980/2000   F1 0.47848928281474645   accuracy 0.5682989690721649   precision 0.5073196183814116   recall 0.5055629998155561
deviation 1/5   iterations 990/2000   F1 0.4862563667360438   accuracy 0.5850515463917526   precision 0.5076190017018326   recall 0.5024631203759236
deviation 1/5   iterations 1000/2000   F1 0.4875097731265166   accuracy 0.5824742268041238   precision 0.5124553768321584   recall 0.5085058779795532
deviation 1/5   iterations 1010/2000   F1 0.48008340388820003   accuracy 0.5670103092783505   precision 0.5184332422427661   recall 0.5066816339044581
deviation 1/5   iterations 1020/2000   F1 0.4780621084899373   accuracy 0.5515463917525774   precision 0.5367513281420566   recall 0.5162072058536721
deviation 1/5   iterations 1030/2000   F1 0.5171295829629697   accuracy 0.6185567010309279   precision 0.5335534948438174   recall 0.5372241637015168
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deviation 1/5   iterations 1040/2000   F1 0.486433832947985   accuracy 0.5567010309278351   precision 0.5238582517480698   recall 0.5254738641328225
deviation 1/5   iterations 1050/2000   F1 0.5107682887418569   accuracy 0.6404639175257731   precision 0.5142215307024148   recall 0.5197140426973438
deviation 1/5   iterations 1060/2000   F1 0.46329267420497217   accuracy 0.5231958762886598   precision 0.528307030772788   recall 0.49727987961064013
deviation 1/5   iterations 1070/2000   F1 0.5047371620896495   accuracy 0.5927835051546392   precision 0.5347741116345542   recall 0.5325364378544082
deviation 1/5   iterations 1080/2000   F1 0.48964754264783034   accuracy 0.5902061855670103   precision 0.5119914956455215   recall 0.5092199569142246
deviation 1/5   iterations 1090/2000   F1 0.47661021746706417   accuracy 0.5644329896907216   precision 0.5146976452894764   recall 0.49100202725454195
deviation 1/5   iterations 1100/2000   F1 0.46701312308081233   accuracy 0.5476804123711341   precision 0.5205761887717153   recall 0.49744465766108004
deviation 1/5   iterations 1110/2000   F1 0.4861666225512827   accuracy 0.5850515463917526   precision 0.5049560254601918   recall 0.5024631203759236
deviation 1/5   iterations 1120/2000   F1 0.47502366421769887   accuracy 0.5554123711340206   precision 0.5175989961817566   recall 0.49769599813683135
deviation 1/5   iterations 1130/2000   F1 0.4966229200271754   accuracy 0.5889175257731959   precision 0.5181428523952384   recall 0.5225472316921081
deviation 1/5   iterations 1140/2000   F1 0.5111727030120535   accuracy 0.6224226804123711   precision 0.5166407713890028   recall 0.529666685803233
deviation 1/5   iterations 1150/2000   F1 0.4958896554649923   accuracy 0.586340206185567   precision 0.5296839892730304   recall 0.5195390041900937
deviation 1/5   iterations 1160/2000   F1 0.4845455546506443   accuracy 0.5979381443298969   precision 0.49512578634113175   recall 0.4995614876196595
deviation 1/5   iterations 1170/2000   F1 0.4456905095839178   accuracy 0.5154639175257731   precision 0.5077503504545343   recall 0.46776184828285966
deviation 1/5   iterations 1180/2000   F1 0.4765542946435432   accuracy 0.5747422680412371   precision 0.5131926438772697   recall 0.49328432743723516
deviation 1/5   iterations 1190/2000   F1 0.481039118494333   accuracy 0.5889175257731959   precision 0.4963187493146608   recall 0.4941393655047513
deviation 1/5   iterations 1200/2000   F1 0.4893993002654449   accuracy 0.6146907216494846   precision 0.49793739005899845   recall 0.4964357127414109
deviation 1/5   iterations 1210/2000   F1 0.4905541796486972   accuracy 0.5902061855670103   precision 0.529072446025508   recall 0.5040670089261903
deviation 1/5   iterations 1220/2000   F1 0.48916234066497416   accuracy 0.5889175257731959   precision 0.5125137330685484   recall 0.5039566275832837
deviation 1/5   iterations 1230/2000   F1 0.491144426282448   accuracy 0.6095360824742269   precision 0.5150459305527779   recall 0.5030906368852835
deviation 1/5   iterations 1240/2000   F1 0.4451466055323165   accuracy 0.5167525773195877   precision 0.4936879257982434   recall 0.4636965494328044
deviation 1/5   iterations 1250/2000   F1 0.5170973747460833   accuracy 0.6765463917525774   precision 0.5202614379084968   recall 0.5323256506127162
deviation 1/5   iterations 1260/2000   F1 0.507686453052619   accuracy 0.6134020618556701   precision 0.5275494940646835   recall 0.5213904466189555
deviation 1/5   iterations 1270/2000   F1 0.4962548955700483   accuracy 0.5824742268041238   precision 0.5221906614122183   recall 0.5204368755931826
deviation 1/5   iterations 1280/2000   F1 0.4924875917625964   accuracy 0.5786082474226805   precision 0.5284546087837624   recall 0.5243480640105926
deviation 1/5   iterations 1290/2000   F1 0.4903546370441747   accuracy 0.5940721649484536   precision 0.5020190482388321   recall 0.510831907251985
deviation 1/5   iterations 1300/2000   F1 0.5117554188639919   accuracy 0.6185567010309279   precision 0.5161521584623466   recall 0.5334186742756911
deviation 1/5   iterations 1310/2000   F1 0.47421143848240926   accuracy 0.5644329896907216   precision 0.5010709626368123   recall 0.49443732591323153
deviation 1/5   iterations 1320/2000   F1 0.49186292534197085   accuracy 0.604381443298969   precision 0.5163745745871596   recall 0.5055698808361947
deviation 1/5   iterations 1330/2000   F1 0.4944263381710045   accuracy 0.6056701030927835   precision 0.5055649435397559   recall 0.5065649822823898
deviation 1/5   iterations 1340/2000   F1 0.5077164563283293   accuracy 0.6108247422680413   precision 0.5195831199307852   recall 0.5250677210507523
deviation 1/5   iterations 1350/2000   F1 0.49382368829084045   accuracy 0.6172680412371134   precision 0.4977279045510887   recall 0.5088910115548216
deviation 1/5   iterations 1360/2000   F1 0.49934244489690777   accuracy 0.6134020618556701   precision 0.5173816037267058   recall 0.5091818059299741
deviation 1/5   iterations 1370/2000   F1 0.5028972177474554   accuracy 0.634020618556701   precision 0.5159426441278512   recall 0.5080381721566217
deviation 1/5   iterations 1380/2000   F1 0.4721790729264317   accuracy 0.5657216494845361   precision 0.5173334501509869   recall 0.4938739779750337
deviation 1/5   iterations 1390/2000   F1 0.4927027873162449   accuracy 0.5850515463917526   precision 0.5100471785524262   recall 0.5176184258260584
deviation 1/5   iterations 1400/2000   F1 0.5037575650460168   accuracy 0.615979381443299   precision 0.511932860726017   recall 0.5205006370033604
deviation 1/5   iterations 1410/2000   F1 0.503824988467147   accuracy 0.6301546391752577   precision 0.5153547064393587   recall 0.5102576066833032
deviation 1/5   iterations 1420/2000   F1 0.47741084938316775   accuracy 0.5670103092783505   precision 0.5053440641198018   recall 0.49649418105878956
deviation 1/5   iterations 1430/2000   F1 0.5046804091965382   accuracy 0.615979381443299   precision 0.5168346344912164   recall 0.5174355291118068
deviation 1/5   iterations 1440/2000   F1 0.5243965598581227   accuracy 0.6713917525773195   precision 0.5221711185390722   recall 0.5291633126780566
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deviation 1/5   iterations 1450/2000   F1 0.50640100779534   accuracy 0.6134020618556701   precision 0.5181497953622319   recall 0.5238743729211888
deviation 1/5   iterations 1460/2000   F1 0.4840738258583555   accuracy 0.5734536082474226   precision 0.5143180645826885   recall 0.5064265068315507
deviation 1/5   iterations 1470/2000   F1 0.49898804445928063   accuracy 0.6314432989690721   precision 0.502929938891934   recall 0.5044746585039032
deviation 1/5   iterations 1480/2000   F1 0.5001118308938753   accuracy 0.6198453608247423   precision 0.5085585805843984   recall 0.5097855035217389
deviation 1/5   iterations 1490/2000   F1 0.4668591116264936   accuracy 0.5412371134020618   precision 0.5123749531759545   recall 0.4819891931331486
deviation 1/5   iterations 1500/2000   F1 0.49649720280553894   accuracy 0.6030927835051546   precision 0.5076850521020482   recall 0.51377010306466
deviation 1/5   iterations 1510/2000   F1 0.5061341545364594   accuracy 0.6404639175257731   precision 0.5155560403805252   recall 0.5104520667695155
deviation 1/5   iterations 1520/2000   F1 0.5050840846660453   accuracy 0.6224226804123711   precision 0.5185153502518772   recall 0.5138376510719938
deviation 1/5   iterations 1530/2000   F1 0.4869873541289051   accuracy 0.6005154639175257   precision 0.5064677386105957   recall 0.4953030315985425
deviation 1/5   iterations 1540/2000   F1 0.4770812328916594   accuracy 0.5644329896907216   precision 0.5224163838981454   recall 0.5010043847166424
deviation 1/5   iterations 1550/2000   F1 0.4950347938452942   accuracy 0.6224226804123711   precision 0.5054010299571492   recall 0.4998188133618835
deviation 1/5   iterations 1560/2000   F1 0.5007434007434007   accuracy 0.6108247422680413   precision 0.506903899892729   recall 0.5197296776791498
deviation 1/5   iterations 1570/2000   F1 0.5104967421183179   accuracy 0.6391752577319587   precision 0.5138787138787139   recall 0.5193001228404691
deviation 1/5   iterations 1580/2000   F1 0.5008583591093916   accuracy 0.6121134020618557   precision 0.5099119727837838   recall 0.5161271172880147
deviation 1/5   iterations 1590/2000   F1 0.4947160140905497   accuracy 0.6121134020618557   precision 0.5015572036598109   recall 0.5072612275659387
deviation 1/5   iterations 1600/2000   F1 0.47996507643281666   accuracy 0.5940721649484536   precision 0.5022434577257874   recall 0.49212286001276045
deviation 1/5   iterations 1610/2000   F1 0.4914878716776589   accuracy 0.5914948453608248   precision 0.5092137394768974   recall 0.5059209350370578
deviation 1/5   iterations 1620/2000   F1 0.5022220549911508   accuracy 0.6301546391752577   precision 0.5045291214429771   recall 0.5139964438559611
deviation 1/5   iterations 1630/2000   F1 0.5038839092010114   accuracy 0.645618556701031   precision 0.5028083028083028   recall 0.5118042076830464
deviation 1/5   iterations 1640/2000   F1 0.5070400443085764   accuracy 0.625   precision 0.5238535525510521   recall 0.5163572446764719
deviation 1/5   iterations 1650/2000   F1 0.5114618829824256   accuracy 0.615979381443299   precision 0.5207646251405218   recall 0.5304104467736767
deviation 1/5   iterations 1660/2000   F1 0.5120344206058491   accuracy 0.6353092783505154   precision 0.5113174182139699   recall 0.5257211329987285
deviation 1/5   iterations 1670/2000   F1 0.5018596993124588   accuracy 0.6237113402061856   precision 0.5080355043212065   recall 0.5116750969348514
deviation 1/5   iterations 1680/2000   F1 0.4976898932831136   accuracy 0.6108247422680413   precision 0.5052079783137294   recall 0.513532809642875
deviation 1/5   iterations 1690/2000   F1 0.4952689773336856   accuracy 0.6005154639175257   precision 0.5045159603742433   recall 0.5133383495566628
deviation 1/5   iterations 1700/2000   F1 0.49763743849680697   accuracy 0.6056701030927835   precision 0.5251714672154151   recall 0.5105555670917834
deviation 1/5   iterations 1710/2000   F1 0.508369645322887   accuracy 0.6262886597938144   precision 0.516351726951061   recall 0.5203915585756044
deviation 1/5   iterations 1720/2000   F1 0.48739076153280547   accuracy 0.5889175257731959   precision 0.5245029273823231   recall 0.5044193660422038
deviation 1/5   iterations 1730/2000   F1 0.5014223176488144   accuracy 0.6005154639175257   precision 0.5157055662426463   recall 0.5213454146140664
deviation 1/5   iterations 1740/2000   F1 0.518680731242573   accuracy 0.6597938144329897   precision 0.5161191749427044   recall 0.5273259173031611
deviation 1/5   iterations 1750/2000   F1 0.5100502895659008   accuracy 0.6481958762886598   precision 0.508466204995202   recall 0.5160414506168692
deviation 1/5   iterations 1760/2000   F1 0.4830326922042129   accuracy 0.5927835051546392   precision 0.5121509209744505   recall 0.496769340452136
deviation 1/5   iterations 1770/2000   F1 0.46817055178323336   accuracy 0.5721649484536082   precision 0.4972575887819201   recall 0.48036629016490423
deviation 1/5   iterations 1780/2000   F1 0.49197073512198813   accuracy 0.6095360824742269   precision 0.5124381298294342   recall 0.5002365198159144
deviation 1/5   iterations 1790/2000   F1 0.49567732796112257   accuracy 0.6134020618556701   precision 0.5096091147840517   recall 0.5028923902019152
deviation 1/5   iterations 1800/2000   F1 0.4948977798699983   accuracy 0.6146907216494846   precision 0.5269088298677959   recall 0.5041392392848462
deviation 1/5   iterations 1810/2000   F1 0.474242670656605   accuracy 0.5695876288659794   precision 0.5170330504033912   recall 0.4878490540225266
deviation 1/5   iterations 1820/2000   F1 0.4978115390347924   accuracy 0.6082474226804123   precision 0.5202974875494272   recall 0.5109873205997807
deviation 1/5   iterations 1830/2000   F1 0.500363594200243   accuracy 0.625   precision 0.5099590033742799   recall 0.5081650842355003
deviation 1/5   iterations 1840/2000   F1 0.506262190831604   accuracy 0.6185567010309279   precision 0.5145014599480401   recall 0.5222539536349501
deviation 1/5   iterations 1850/2000   F1 0.5020964758136223   accuracy 0.6095360824742269   precision 0.5095721576799358   recall 0.5209408594598358
deviation 1/5   iterations 1860/2000   F1 0.4985859402797243   accuracy 0.6314432989690721   precision 0.5096610079024905   recall 0.5020832798934541
deviation 1/5   iterations 1870/2000   F1 0.4995120376699324   accuracy 0.634020618556701   precision 0.5078396350514717   recall 0.5025150334014513
deviation 1/5   iterations 1880/2000   F1 0.5011546256946714   accuracy 0.615979381443299   precision 0.5105472453630436   recall 0.5148590551177896
deviation 1/5   iterations 1890/2000   F1 0.49032302978395986   accuracy 0.595360824742268   precision 0.5120863391717098   recall 0.5039791435857284
deviation 1/5   iterations 1900/2000   F1 0.5148909311577977   accuracy 0.6520618556701031   precision 0.5168283493226399   recall 0.520970256482919
deviation 1/5   iterations 1910/2000   F1 0.5155285993366953   accuracy 0.663659793814433   precision 0.5152755830782737   recall 0.5190021624319888
deviation 1/5   iterations 1920/2000   F1 0.5074254393341051   accuracy 0.634020618556701   precision 0.5103189634439634   recall 0.5188327020302269
deviation 1/5   iterations 1930/2000   F1 0.5165381507286532   accuracy 0.6378865979381443   precision 0.518723380951087   recall 0.5331160315158888
deviation 1/5   iterations 1940/2000   F1 0.5094419020694229   accuracy 0.6559278350515464   precision 0.5093411490470313   recall 0.5122763108446107
deviation 1/5   iterations 1950/2000   F1 0.5038306041649223   accuracy 0.6211340206185567   precision 0.5057417552033424   recall 0.5191578607924737
deviation 1/5   iterations 1960/2000   F1 0.5073221071902274   accuracy 0.634020618556701   precision 0.5077387500654827   recall 0.5189252497220108
deviation 1/5   iterations 1970/2000   F1 0.5073557165848804   accuracy 0.6288659793814433   precision 0.5095163260517591   recall 0.5213119459811378
deviation 1/5   iterations 1980/2000   F1 0.4992838260904069   accuracy 0.6056701030927835   precision 0.5078241072820832   recall 0.5170559736420265
deviation 1/5   iterations 1990/2000   F1 0.45492523561323867   accuracy 0.5257731958762887   precision 0.49880208333333337   recall 0.4755006349675554
deviation 1/5   iterations 2000/2000   F1 0.4869082882448346   accuracy 0.6172680412371134   precision 0.4973235805839497   recall 0.4910407889802693

deviation 2/5   iterations 10/2000   F1 0.37642070285330825   accuracy 0.48258064516129034   precision 0.44177320876103837   recall 0.4300708220002261
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deviation 2/5   iterations 20/2000   F1 0.3945424430641822   accuracy 0.5625806451612904   precision 0.39550597398813764   recall 0.4280311490482153
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deviation 2/5   iterations 30/2000   F1 0.3934296130338031   accuracy 0.5574193548387096   precision 0.45995775691986146   recall 0.4252491074641182
deviation 2/5   iterations 40/2000   F1 0.46084400994003244   accuracy 0.6232258064516129   precision 0.46344238762419915   recall 0.4773077691487173
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deviation 2/5   iterations 50/2000   F1 0.46224279000482743   accuracy 0.6012903225806452   precision 0.5018269869136751   recall 0.4684275709524915
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deviation 2/5   iterations 60/2000   F1 0.4876402312915122   accuracy 0.6296774193548387   precision 0.4903987559659373   recall 0.48826625590135614
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deviation 2/5   iterations 70/2000   F1 0.5044366980478528   accuracy 0.6335483870967742   precision 0.501596611383091   recall 0.5172526666447408
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deviation 2/5   iterations 80/2000   F1 0.5190379418880738   accuracy 0.655483870967742   precision 0.5182659179367999   recall 0.5239399566621653
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deviation 2/5   iterations 90/2000   F1 0.516828034520118   accuracy 0.6335483870967742   precision 0.5373236870538407   recall 0.5275422525889226
deviation 2/5   iterations 100/2000   F1 0.5115111048821187   accuracy 0.6296774193548387   precision 0.5267755070080651   recall 0.5200804415399838
deviation 2/5   iterations 110/2000   F1 0.518218449802958   accuracy 0.6232258064516129   precision 0.5202757416179312   recall 0.5408090034572419
deviation 2/5   iterations 120/2000   F1 0.5177758862012477   accuracy 0.6361290322580645   precision 0.5199937683569998   recall 0.5294100370137113
deviation 2/5   iterations 130/2000   F1 0.5170210716168312   accuracy 0.6206451612903225   precision 0.5236530600274725   recall 0.5360251682110454
deviation 2/5   iterations 140/2000   F1 0.5079923986082344   accuracy 0.5922580645161291   precision 0.5246208762476412   recall 0.5408575184009082
deviation 2/5   iterations 150/2000   F1 0.5299205071372535   accuracy 0.6438709677419355   precision 0.5351825050607363   recall 0.5441429536584931
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deviation 2/5   iterations 160/2000   F1 0.5213968516929792   accuracy 0.6412903225806451   precision 0.5227326619225167   recall 0.5355134296399963
deviation 2/5   iterations 170/2000   F1 0.5316970757694391   accuracy 0.6438709677419355   precision 0.5331318929568111   recall 0.5509443724219789
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deviation 2/5   iterations 180/2000   F1 0.5262220465676868   accuracy 0.6503225806451612   precision 0.5240936744295622   recall 0.5445575805294887
deviation 2/5   iterations 190/2000   F1 0.5092486160144971   accuracy 0.6   precision 0.5399248120300751   recall 0.5315311954360283
deviation 2/5   iterations 200/2000   F1 0.5279383982433186   accuracy 0.632258064516129   precision 0.5308989579069082   recall 0.5501709967685612
deviation 2/5   iterations 210/2000   F1 0.5240278327243956   accuracy 0.632258064516129   precision 0.5292794021275284   recall 0.5423128030854523
deviation 2/5   iterations 220/2000   F1 0.5188002290396665   accuracy 0.632258064516129   precision 0.5230293695421641   recall 0.5343274724336126
deviation 2/5   iterations 230/2000   F1 0.5148823684906159   accuracy 0.6206451612903225   precision 0.5193226417933249   recall 0.5375666016910036
deviation 2/5   iterations 240/2000   F1 0.5333524965469465   accuracy 0.6619354838709678   precision 0.5304668563305442   recall 0.5448462976225714
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deviation 2/5   iterations 250/2000   F1 0.5312113480347488   accuracy 0.6516129032258065   precision 0.5293086688443677   recall 0.5463059183813386
deviation 2/5   iterations 260/2000   F1 0.5360874924386264   accuracy 0.655483870967742   precision 0.5327742294701143   recall 0.5544430934437085
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deviation 2/5   iterations 270/2000   F1 0.5353405925975596   accuracy 0.6529032258064517   precision 0.5318095800192987   recall 0.554792106512309
deviation 2/5   iterations 280/2000   F1 0.5082673745265286   accuracy 0.5922580645161291   precision 0.5250711104098075   recall 0.54358286376922
deviation 2/5   iterations 290/2000   F1 0.5191782320580144   accuracy 0.6193548387096774   precision 0.5311177418522052   recall 0.5398546580645499
deviation 2/5   iterations 300/2000   F1 0.512525405968029   accuracy 0.6090322580645161   precision 0.5226869830048616   recall 0.53425858612237
deviation 2/5   iterations 310/2000   F1 0.5126348727605884   accuracy 0.6   precision 0.5260615576985169   recall 0.542599393047784
deviation 2/5   iterations 320/2000   F1 0.4962846361357198   accuracy 0.5638709677419355   precision 0.5363220159145977   recall 0.5367987893026268
deviation 2/5   iterations 330/2000   F1 0.5046907774962655   accuracy 0.6   precision 0.5264326818492131   recall 0.5216230203980384
deviation 2/5   iterations 340/2000   F1 0.5116239361314093   accuracy 0.5922580645161291   precision 0.5355935985246331   recall 0.5419778618048966
deviation 2/5   iterations 350/2000   F1 0.5112062863483318   accuracy 0.5974193548387097   precision 0.526246433839103   recall 0.5436237701298156
deviation 2/5   iterations 360/2000   F1 0.49414810538234044   accuracy 0.5767741935483871   precision 0.5123316883544199   recall 0.5264962769484968
deviation 2/5   iterations 370/2000   F1 0.503665898753618   accuracy 0.5883870967741935   precision 0.5187155381633173   recall 0.5319178423563765
deviation 2/5   iterations 380/2000   F1 0.5205798569378944   accuracy 0.6193548387096774   precision 0.5336354272953602   recall 0.5389885885980229
deviation 2/5   iterations 390/2000   F1 0.48741576627917665   accuracy 0.5651612903225807   precision 0.5150418203534561   recall 0.5314675451389417
deviation 2/5   iterations 400/2000   F1 0.4993488344413608   accuracy 0.5793548387096774   precision 0.5188811188811189   recall 0.5315343861321548
deviation 2/5   iterations 410/2000   F1 0.5135003068292802   accuracy 0.5974193548387097   precision 0.5332577242581144   recall 0.543202680053846
deviation 2/5   iterations 420/2000   F1 0.49922628950057185   accuracy 0.6129032258064516   precision 0.5047568595258858   recall 0.5235726175440182
deviation 2/5   iterations 430/2000   F1 0.48433832509477615   accuracy 0.5922580645161291   precision 0.49797139104628324   recall 0.5133101116105505
deviation 2/5   iterations 440/2000   F1 0.48391812865497075   accuracy 0.5574193548387096   precision 0.5147581953911068   recall 0.5155110374360286
deviation 2/5   iterations 450/2000   F1 0.4942427488584686   accuracy 0.5612903225806452   precision 0.5329763547006875   recall 0.5336199560207536
deviation 2/5   iterations 460/2000   F1 0.49088142313273453   accuracy 0.5587096774193548   precision 0.5275055669195948   recall 0.5313707606897728
deviation 2/5   iterations 470/2000   F1 0.49875678895319725   accuracy 0.6051612903225806   precision 0.507577186748584   recall 0.523014654785496
deviation 2/5   iterations 480/2000   F1 0.49822308083715344   accuracy 0.56   precision 0.5357069577503947   recall 0.5424551572203244
deviation 2/5   iterations 490/2000   F1 0.49048758949383003   accuracy 0.5651612903225807   precision 0.5180431838308069   recall 0.5239907623620249
deviation 2/5   iterations 500/2000   F1 0.4697567988716977   accuracy 0.5212903225806451   precision 0.5242463690698401   recall 0.5195947194142733
deviation 2/5   iterations 510/2000   F1 0.49079053566118686   accuracy 0.5741935483870968   precision 0.5175673247929716   recall 0.5153956814991494
deviation 2/5   iterations 520/2000   F1 0.5105800774416047   accuracy 0.5974193548387097   precision 0.5291828320294968   recall 0.5359562818998026
deviation 2/5   iterations 530/2000   F1 0.496549723299715   accuracy 0.5638709677419355   precision 0.5289249112693635   recall 0.5338191699968535
deviation 2/5   iterations 540/2000   F1 0.4936866339752078   accuracy 0.5548387096774193   precision 0.5297424505655367   recall 0.5412939074557405
deviation 2/5   iterations 550/2000   F1 0.50290473256669   accuracy 0.5793548387096774   precision 0.5242669525596355   recall 0.538590078833102
deviation 2/5   iterations 560/2000   F1 0.5026905135028974   accuracy 0.5896774193548387   precision 0.5201197720467498   recall 0.5367490471681426
deviation 2/5   iterations 570/2000   F1 0.48969715292416865   accuracy 0.56   precision 0.5205444373688733   recall 0.5289555673474958
deviation 2/5   iterations 580/2000   F1 0.491701397060724   accuracy 0.56   precision 0.5330021328083344   recall 0.5285980457558915
deviation 2/5   iterations 590/2000   F1 0.4984768337507289   accuracy 0.5587096774193548   precision 0.5348282022619414   recall 0.5468964426028946
deviation 2/5   iterations 600/2000   F1 0.4795646410910557   accuracy 0.5445161290322581   precision 0.5152701391135555   recall 0.5233821575290857
deviation 2/5   iterations 610/2000   F1 0.4786736271797783   accuracy 0.5780645161290323   precision 0.49987300071616136   recall 0.5170253909052724
deviation 2/5   iterations 620/2000   F1 0.5079983938761536   accuracy 0.6012903225806452   precision 0.5232399225046284   recall 0.5334463494263865
deviation 2/5   iterations 630/2000   F1 0.5061759143950925   accuracy 0.5896774193548387   precision 0.5211620188259066   recall 0.5421361694204011
deviation 2/5   iterations 640/2000   F1 0.4879097714736013   accuracy 0.567741935483871   precision 0.5127719884071095   recall 0.5191842649920585
deviation 2/5   iterations 650/2000   F1 0.4940953565344759   accuracy 0.5703225806451613   precision 0.520599297891403   recall 0.5258273761400398
deviation 2/5   iterations 660/2000   F1 0.4730480856809489   accuracy 0.5754838709677419   precision 0.4970994632865137   recall 0.5034537240250746
deviation 2/5   iterations 670/2000   F1 0.5126191695986114   accuracy 0.5948387096774194   precision 0.536109296056947   recall 0.5381010023858226
deviation 2/5   iterations 680/2000   F1 0.4836466607153313   accuracy 0.5625806451612904   precision 0.5139514548469772   recall 0.5282887118570686
deviation 2/5   iterations 690/2000   F1 0.46901073387202846   accuracy 0.5174193548387097   precision 0.5239790808946255   recall 0.5162328710750961
deviation 2/5   iterations 700/2000   F1 0.49821120224010235   accuracy 0.5780645161290323   precision 0.5190564806535032   recall 0.5298496167646701
deviation 2/5   iterations 710/2000   F1 0.48352733423263333   accuracy 0.552258064516129   precision 0.5172452267386304   recall 0.5223986868076497
deviation 2/5   iterations 720/2000   F1 0.5054809649987771   accuracy 0.5767741935483871   precision 0.5315878649149467   recall 0.5432694392343377
deviation 2/5   iterations 730/2000   F1 0.5227846906166783   accuracy 0.6167741935483871   precision 0.5312297365471382   recall 0.5514625741980023
deviation 2/5   iterations 740/2000   F1 0.5000851882210426   accuracy 0.6064516129032258   precision 0.5097135561325772   recall 0.5314372744321011
deviation 2/5   iterations 750/2000   F1 0.4927483734258949   accuracy 0.5625806451612904   precision 0.5196848639871244   recall 0.5330640385802613
deviation 2/5   iterations 760/2000   F1 0.5233938781897627   accuracy 0.6180645161290322   precision 0.5279483643629751   recall 0.5580259179428224
deviation 2/5   iterations 770/2000   F1 0.5445681659481945   accuracy 0.6567741935483871   precision 0.5411083811924867   recall 0.5673867658760449
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deviation 2/5   iterations 780/2000   F1 0.4989540763861265   accuracy 0.5690322580645162   precision 0.5270111638609689   recall 0.5365218532413955
deviation 2/5   iterations 790/2000   F1 0.5180373197851033   accuracy 0.6387096774193548   precision 0.517740195566691   recall 0.540868154054663
deviation 2/5   iterations 800/2000   F1 0.4753044184840263   accuracy 0.5225806451612903   precision 0.5251426741206616   recall 0.5311876638197476
deviation 2/5   iterations 810/2000   F1 0.5243037905941131   accuracy 0.6670967741935484   precision 0.521410974244121   recall 0.5377043743134889
deviation 2/5   iterations 820/2000   F1 0.5166995116011995   accuracy 0.5858064516129032   precision 0.5322622133173692   recall 0.5655589060591973
deviation 2/5   iterations 830/2000   F1 0.49867118990104325   accuracy 0.5690322580645162   precision 0.524633948680624   recall 0.5426479079914502
deviation 2/5   iterations 840/2000   F1 0.5240002917863157   accuracy 0.6270967741935484   precision 0.5243042255682455   recall 0.5489461785196119
deviation 2/5   iterations 850/2000   F1 0.5014897418737839   accuracy 0.5909677419354838   precision 0.5139881301822126   recall 0.5324348987543032
deviation 2/5   iterations 860/2000   F1 0.5014811265204915   accuracy 0.5987096774193549   precision 0.5116127752622005   recall 0.525071099345351
deviation 2/5   iterations 870/2000   F1 0.4964228411085565   accuracy 0.6038709677419355   precision 0.509516636363491   recall 0.5308566495498092
deviation 2/5   iterations 880/2000   F1 0.5037407723392678   accuracy 0.5935483870967742   precision 0.520748901235675   recall 0.5304808837213792
deviation 2/5   iterations 890/2000   F1 0.5030496728341686   accuracy 0.5806451612903226   precision 0.518985992880496   recall 0.5400205742631251
deviation 2/5   iterations 900/2000   F1 0.5009686697293363   accuracy 0.5909677419354838   precision 0.5159401890252503   recall 0.540777750997747
deviation 2/5   iterations 910/2000   F1 0.5179789801649991   accuracy 0.6129032258064516   precision 0.5297182424488353   recall 0.5424593296691053
deviation 2/5   iterations 920/2000   F1 0.5070084451096043   accuracy 0.5858064516129032   precision 0.5245056403794731   recall 0.5469900363559371
deviation 2/5   iterations 930/2000   F1 0.5330971189213273   accuracy 0.6541935483870968   precision 0.5296465200204098   recall 0.5527583240762239
deviation 2/5   iterations 940/2000   F1 0.4931817344917701   accuracy 0.584516129032258   precision 0.5128818531467636   recall 0.5363267299013551
deviation 2/5   iterations 950/2000   F1 0.5234939759036145   accuracy 0.6141935483870967   precision 0.5302690133629927   recall 0.5543462271818185
deviation 2/5   iterations 960/2000   F1 0.5002997094402756   accuracy 0.5767741935483871   precision 0.5196208390880522   recall 0.5413465948481875
deviation 2/5   iterations 970/2000   F1 0.5210029777134623   accuracy 0.6051612903225806   precision 0.5308917436706483   recall 0.5557584783750161
deviation 2/5   iterations 980/2000   F1 0.5266630425922699   accuracy 0.6180645161290322   precision 0.5316773057549232   recall 0.5641519726928772
deviation 2/5   iterations 990/2000   F1 0.5094407814286135   accuracy 0.6116129032258064   precision 0.5130150916774379   recall 0.5361899390315239
deviation 2/5   iterations 1000/2000   F1 0.5011853091594282   accuracy 0.5793548387096774   precision 0.5177616982266643   recall 0.5376604408822095
deviation 2/5   iterations 1010/2000   F1 0.500884685896675   accuracy 0.5832258064516129   precision 0.51765440504294   recall 0.536819078857482
deviation 2/5   iterations 1020/2000   F1 0.5208215928164247   accuracy 0.6348387096774194   precision 0.5202737434960083   recall 0.5433145180437139
deviation 2/5   iterations 1030/2000   F1 0.5210220938481808   accuracy 0.6348387096774194   precision 0.52216384400077   recall 0.5467152274254569
deviation 2/5   iterations 1040/2000   F1 0.5106836476009916   accuracy 0.6064516129032258   precision 0.512913726989423   recall 0.5380083085727132
deviation 2/5   iterations 1050/2000   F1 0.5089199458545929   accuracy 0.6038709677419355   precision 0.5147715586117833   recall 0.5366251827082595
deviation 2/5   iterations 1060/2000   F1 0.5066198881941686   accuracy 0.5793548387096774   precision 0.5218303546639379   recall 0.5472507734983725
deviation 2/5   iterations 1070/2000   F1 0.5214165872857204   accuracy 0.6296774193548387   precision 0.5218957229426827   recall 0.5475403905313884
deviation 2/5   iterations 1080/2000   F1 0.5140543881214755   accuracy 0.6451612903225806   precision 0.5171794871794871   recall 0.5363406380639576
deviation 2/5   iterations 1090/2000   F1 0.4962801067948037   accuracy 0.5754838709677419   precision 0.5121645259507198   recall 0.5319307687663247
deviation 2/5   iterations 1100/2000   F1 0.5173033879888034   accuracy 0.6296774193548387   precision 0.5185988542682797   recall 0.5430829062300223
deviation 2/5   iterations 1110/2000   F1 0.5159589936501378   accuracy 0.6129032258064516   precision 0.5183197319108205   recall 0.5431982621669015
deviation 2/5   iterations 1120/2000   F1 0.5225484897342125   accuracy 0.6412903225806451   precision 0.5226789223770236   recall 0.5466451957361174
deviation 2/5   iterations 1130/2000   F1 0.5032725356336013   accuracy 0.6012903225806452   precision 0.5119571217793658   recall 0.5349877829063446
deviation 2/5   iterations 1140/2000   F1 0.5045102346874123   accuracy 0.6245161290322581   precision 0.505368542133248   recall 0.5246002671348973
deviation 2/5   iterations 1150/2000   F1 0.5105139533631605   accuracy 0.6   precision 0.5194730345004489   recall 0.542408687594688
deviation 2/5   iterations 1160/2000   F1 0.5200017341446729   accuracy 0.6258064516129033   precision 0.5253666216824112   recall 0.5506621185338703
deviation 2/5   iterations 1170/2000   F1 0.5275799469347856   accuracy 0.6348387096774194   precision 0.5286960612199498   recall 0.5479627077981758
deviation 2/5   iterations 1180/2000   F1 0.5090069206261199   accuracy 0.6335483870967742   precision 0.5114706792017839   recall 0.5336444180243897
deviation 2/5   iterations 1190/2000   F1 0.4806726268726566   accuracy 0.5612903225806452   precision 0.5030177198668683   recall 0.5111418290608276
deviation 2/5   iterations 1200/2000   F1 0.5004224378695398   accuracy 0.64   precision 0.4993828906253343   recall 0.5178579989688324
deviation 2/5   iterations 1210/2000   F1 0.5034896124090628   accuracy 0.6412903225806451   precision 0.503989149646778   recall 0.5246120481667488
deviation 2/5   iterations 1220/2000   F1 0.5070244364424256   accuracy 0.5961290322580645   precision 0.5214328155504626   recall 0.5436711396953852
deviation 2/5   iterations 1230/2000   F1 0.5122278101405237   accuracy 0.6412903225806451   precision 0.5136376881930359   recall 0.5334634482851154
deviation 2/5   iterations 1240/2000   F1 0.5174976947638753   accuracy 0.6051612903225806   precision 0.5282035390309191   recall 0.5479002846919072
deviation 2/5   iterations 1250/2000   F1 0.5101446266060434   accuracy 0.6270967741935484   precision 0.514241323869263   recall 0.5363762265976756
deviation 2/5   iterations 1260/2000   F1 0.5158100059283741   accuracy 0.6180645161290322   precision 0.5201530018081187   recall 0.5423095305766046
deviation 2/5   iterations 1270/2000   F1 0.4891716795813448   accuracy 0.6387096774193548   precision 0.4929605533969861   recall 0.5169121620991443
deviation 2/5   iterations 1280/2000   F1 0.48961733496062015   accuracy 0.6012903225806452   precision 0.4990064853549871   recall 0.5147503427543955
deviation 2/5   iterations 1290/2000   F1 0.49642186283359874   accuracy 0.5935483870967742   precision 0.514817496945099   recall 0.5111730815203225
deviation 2/5   iterations 1300/2000   F1 0.47381829003687165   accuracy 0.6012903225806452   precision 0.48759658669741146   recall 0.5047785992320404
deviation 2/5   iterations 1310/2000   F1 0.5031376957399307   accuracy 0.6090322580645161   precision 0.5078367938008141   recall 0.5235479101022184
deviation 2/5   iterations 1320/2000   F1 0.5119399027843138   accuracy 0.6180645161290322   precision 0.5161969141234862   recall 0.5353809748443882
deviation 2/5   iterations 1330/2000   F1 0.49294364422954146   accuracy 0.6103225806451613   precision 0.5037249492299908   recall 0.5220623547108337
deviation 2/5   iterations 1340/2000   F1 0.5115854019650529   accuracy 0.6154838709677419   precision 0.5160685620253916   recall 0.5399331982768932
deviation 2/5   iterations 1350/2000   F1 0.5142659865146125   accuracy 0.607741935483871   precision 0.5227292058375862   recall 0.5396930779401979
deviation 2/5   iterations 1360/2000   F1 0.47442994083444673   accuracy 0.6180645161290322   precision 0.4970064635679778   recall 0.5170424897640014
deviation 2/5   iterations 1370/2000   F1 0.5204024089377626   accuracy 0.6258064516129033   precision 0.5213977442006655   recall 0.5472614091521273
deviation 2/5   iterations 1380/2000   F1 0.5038077084952085   accuracy 0.6232258064516129   precision 0.5040326894320163   recall 0.5239087042026704
deviation 2/5   iterations 1390/2000   F1 0.5063925479174376   accuracy 0.6038709677419355   precision 0.5179897886503387   recall 0.5398351866369064
deviation 2/5   iterations 1400/2000   F1 0.5160710745616682   accuracy 0.6232258064516129   precision 0.5179147365267328   recall 0.5406818664885114
deviation 2/5   iterations 1410/2000   F1 0.510200811477704   accuracy 0.6103225806451613   precision 0.5157898637722824   recall 0.5381601529832436
deviation 2/5   iterations 1420/2000   F1 0.49622637919201695   accuracy 0.6232258064516129   precision 0.5030313549921392   recall 0.523654430265209
deviation 2/5   iterations 1430/2000   F1 0.5158974842547354   accuracy 0.6464516129032258   precision 0.5157652990744578   recall 0.5362297000140227
deviation 2/5   iterations 1440/2000   F1 0.5209538655865337   accuracy 0.6451612903225806   precision 0.520097734327983   recall 0.5417277603162161
deviation 2/5   iterations 1450/2000   F1 0.5081978432592117   accuracy 0.607741935483871   precision 0.5145223307699484   recall 0.5315806103196276
deviation 2/5   iterations 1460/2000   F1 0.5069025349200725   accuracy 0.6090322580645161   precision 0.5118049055056929   recall 0.5331382427183815
deviation 2/5   iterations 1470/2000   F1 0.5079585050129135   accuracy 0.6219354838709678   precision 0.5138847243045144   recall 0.5345396128196608
deviation 2/5   iterations 1480/2000   F1 0.5026780987060872   accuracy 0.5987096774193549   precision 0.5124511505760366   recall 0.5302675161445133
deviation 2/5   iterations 1490/2000   F1 0.527193642087259   accuracy 0.6296774193548387   precision 0.5285764767147746   recall 0.5503928728684309
deviation 2/5   iterations 1500/2000   F1 0.5045225063317192   accuracy 0.6012903225806452   precision 0.5140012747752218   recall 0.535917420857237
deviation 2/5   iterations 1510/2000   F1 0.4807717423699532   accuracy 0.6025806451612903   precision 0.49118207554476223   recall 0.5065269370838903
deviation 2/5   iterations 1520/2000   F1 0.5110628824979043   accuracy 0.6374193548387097   precision 0.5103896103896104   recall 0.528854119573219
deviation 2/5   iterations 1530/2000   F1 0.5050661973846248   accuracy 0.5935483870967742   precision 0.5180859608841605   recall 0.5346840940852838
deviation 2/5   iterations 1540/2000   F1 0.5057273907268186   accuracy 0.6167741935483871   precision 0.5120952380952382   recall 0.5301047906420646
deviation 2/5   iterations 1550/2000   F1 0.5178472779114318   accuracy 0.6438709677419355   precision 0.5186467517825715   recall 0.5375719195178809
deviation 2/5   iterations 1560/2000   F1 0.4952581220576527   accuracy 0.6025806451612903   precision 0.5034553043874263   recall 0.5181672510549341
deviation 2/5   iterations 1570/2000   F1 0.5017280359788961   accuracy 0.607741935483871   precision 0.5071613407419379   recall 0.5261934880673692
deviation 2/5   iterations 1580/2000   F1 0.49488017950939717   accuracy 0.6193548387096774   precision 0.5019053973346927   recall 0.5199111710198397
deviation 2/5   iterations 1590/2000   F1 0.5033294515147236   accuracy 0.6193548387096774   precision 0.5084252721388643   recall 0.5287625711382063
deviation 2/5   iterations 1600/2000   F1 0.4757475180010391   accuracy 0.6387096774193548   precision 0.4820964551857218   recall 0.5089268314473047
deviation 2/5   iterations 1610/2000   F1 0.508705310642894   accuracy 0.5896774193548387   precision 0.5208542356677605   recall 0.5432565128243895
deviation 2/5   iterations 1620/2000   F1 0.5231424134357744   accuracy 0.6193548387096774   precision 0.5278231925046329   recall 0.5511135611294017
deviation 2/5   iterations 1630/2000   F1 0.508358943056007   accuracy 0.6116129032258064   precision 0.5152194316039167   recall 0.531923160183254
deviation 2/5   iterations 1640/2000   F1 0.4927999750652761   accuracy 0.6412903225806451   precision 0.49652948520652246   recall 0.5166267175149092
deviation 2/5   iterations 1650/2000   F1 0.5160866641255418   accuracy 0.6219354838709678   precision 0.521952413040688   recall 0.5351117291789488
deviation 2/5   iterations 1660/2000   F1 0.5130989946967781   accuracy 0.6206451612903225   precision 0.5153269612176393   recall 0.5350319617757876
deviation 2/5   iterations 1670/2000   F1 0.5120747737322264   accuracy 0.6387096774193548   precision 0.5137690716090195   recall 0.53554460028677
deviation 2/5   iterations 1680/2000   F1 0.4887144178059574   accuracy 0.5703225806451613   precision 0.5135108056750225   recall 0.5163641804926075
deviation 2/5   iterations 1690/2000   F1 0.5116578405413356   accuracy 0.6167741935483871   precision 0.5178878568971448   recall 0.5406247612091201
deviation 2/5   iterations 1700/2000   F1 0.4902120822068719   accuracy 0.6387096774193548   precision 0.49159902597402594   recall 0.5117793137843473
deviation 2/5   iterations 1710/2000   F1 0.5259370385361392   accuracy 0.6567741935483871   precision 0.524402619191831   recall 0.5426918414227297
deviation 2/5   iterations 1720/2000   F1 0.5101488551674781   accuracy 0.6116129032258064   precision 0.5174793875959107   recall 0.5405202863641593
deviation 2/5   iterations 1730/2000   F1 0.5091302093347084   accuracy 0.6090322580645161   precision 0.5170648753259288   recall 0.5408692994327596
deviation 2/5   iterations 1740/2000   F1 0.5085566712529593   accuracy 0.6348387096774194   precision 0.5097748748636864   recall 0.5274709937087654
deviation 2/5   iterations 1750/2000   F1 0.49646290764293965   accuracy 0.6180645161290322   precision 0.5028049453519268   recall 0.5210153155050324
deviation 2/5   iterations 1760/2000   F1 0.5205519587781159   accuracy 0.632258064516129   precision 0.5246339714675541   recall 0.5462617395118955
deviation 2/5   iterations 1770/2000   F1 0.5007541024268578   accuracy 0.6167741935483871   precision 0.5034033272469061   recall 0.5195848200750092
deviation 2/5   iterations 1780/2000   F1 0.5035778518922561   accuracy 0.6064516129032258   precision 0.5103180335574702   recall 0.5282272705034542
deviation 2/5   iterations 1790/2000   F1 0.5124640360548991   accuracy 0.6219354838709678   precision 0.5163476027645922   recall 0.5364624572058109
deviation 2/5   iterations 1800/2000   F1 0.4994904278837862   accuracy 0.6103225806451613   precision 0.5079586083608362   recall 0.5239851990969839
deviation 2/5   iterations 1810/2000   F1 0.48264923482314787   accuracy 0.6232258064516129   precision 0.4933701853317504   recall 0.5130073227294228
deviation 2/5   iterations 1820/2000   F1 0.4812210680854749   accuracy 0.6258064516129033   precision 0.49727111197785473   recall 0.5151929495760382
deviation 2/5   iterations 1830/2000   F1 0.47378540374412453   accuracy 0.6206451612903225   precision 0.4848942246772789   recall 0.5063006430970761
deviation 2/5   iterations 1840/2000   F1 0.4840779948046996   accuracy 0.6090322580645161   precision 0.5002034586797799   recall 0.5159836695263486
deviation 2/5   iterations 1850/2000   F1 0.5081708887796824   accuracy 0.6374193548387097   precision 0.5078933460265104   recall 0.5193273554414213
deviation 2/5   iterations 1860/2000   F1 0.4835568108542378   accuracy 0.5716129032258065   precision 0.5014882807287787   recall 0.5090068442886294
deviation 2/5   iterations 1870/2000   F1 0.4653088484084073   accuracy 0.567741935483871   precision 0.48228689931350116   recall 0.4907072202508083
deviation 2/5   iterations 1880/2000   F1 0.5047462186486917   accuracy 0.6193548387096774   precision 0.5086283762754351   recall 0.5270940006895176
deviation 2/5   iterations 1890/2000   F1 0.4974790232498516   accuracy 0.6425806451612903   precision 0.49932887609135995   recall 0.5199800573310825
deviation 2/5   iterations 1900/2000   F1 0.4737499317313363   accuracy 0.6232258064516129   precision 0.47868409896626746   recall 0.4998891437627863
deviation 2/5   iterations 1910/2000   F1 0.4822330461032811   accuracy 0.5922580645161291   precision 0.49962779100669   recall 0.5175768904588205
deviation 2/5   iterations 1920/2000   F1 0.4865110767851723   accuracy 0.6296774193548387   precision 0.48805804635044403   recall 0.5104026511248677
deviation 2/5   iterations 1930/2000   F1 0.5029380590684159   accuracy 0.6477419354838709   precision 0.5017097543087642   recall 0.521077738611301
deviation 2/5   iterations 1940/2000   F1 0.4718433311003117   accuracy 0.5922580645161291   precision 0.48636765418022887   recall 0.5017969346082373
deviation 2/5   iterations 1950/2000   F1 0.496993548513417   accuracy 0.6374193548387097   precision 0.4983455474128358   recall 0.5181434435530675
deviation 2/5   iterations 1960/2000   F1 0.49627695499449026   accuracy 0.6245161290322581   precision 0.5026085064084773   recall 0.5217477847978547
deviation 2/5   iterations 1970/2000   F1 0.5107300744252897   accuracy 0.6258064516129033   precision 0.5151993898452822   recall 0.5366143016163413
deviation 2/5   iterations 1980/2000   F1 0.5036490495683162   accuracy 0.5987096774193549   precision 0.5131346606077344   recall 0.5286625141801898
deviation 2/5   iterations 1990/2000   F1 0.5051854134566   accuracy 0.6477419354838709   precision 0.502899326230159   recall 0.5202752376291394
deviation 2/5   iterations 2000/2000   F1 0.49403456931337963   accuracy 0.6335483870967742   precision 0.4972955512171198   recall 0.516068754756387

deviation 3/5   iterations 10/2000   F1 0.3890197347121062   accuracy 0.48578811369509045   precision 0.4142755010725671   recall 0.4129827486032383
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deviation 3/5   iterations 20/2000   F1 0.42305442886428546   accuracy 0.5839793281653747   precision 0.43426613069470216   recall 0.42233350295576727
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deviation 3/5   iterations 30/2000   F1 0.4355166618324513   accuracy 0.537467700258398   precision 0.4678074221925028   recall 0.4643872412120371
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deviation 3/5   iterations 40/2000   F1 0.4498406311046204   accuracy 0.5542635658914729   precision 0.4763968395875362   recall 0.4759222635716189
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deviation 3/5   iterations 50/2000   F1 0.47923762847263146   accuracy 0.6098191214470284   precision 0.5025495054728079   recall 0.48702097341633604
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deviation 3/5   iterations 60/2000   F1 0.42951612603315387   accuracy 0.5555555555555556   precision 0.499826255296449   recall 0.47090225115778167
deviation 3/5   iterations 70/2000   F1 0.4686839727803107   accuracy 0.6253229974160207   precision 0.5212582744741858   recall 0.4843004148576135
deviation 3/5   iterations 80/2000   F1 0.463412296896637   accuracy 0.5813953488372093   precision 0.5247807853602745   recall 0.4977317406040936
deviation 3/5   iterations 90/2000   F1 0.47580559075384493   accuracy 0.5684754521963824   precision 0.49828125572879994   recall 0.49983751007056343
deviation 3/5   iterations 100/2000   F1 0.46930589512114773   accuracy 0.562015503875969   precision 0.5115832477769952   recall 0.5029001009126408
deviation 3/5   iterations 110/2000   F1 0.47539912826117   accuracy 0.582687338501292   precision 0.5124371682926148   recall 0.5043413997039928
deviation 3/5   iterations 120/2000   F1 0.4907538666341483   accuracy 0.6085271317829457   precision 0.5229784658292055   recall 0.5074864242615337
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deviation 3/5   iterations 130/2000   F1 0.47292191408538864   accuracy 0.5904392764857881   precision 0.5150611620795107   recall 0.49978520503777807
deviation 3/5   iterations 140/2000   F1 0.49788904072611934   accuracy 0.6007751937984496   precision 0.5276331462472242   recall 0.519027554340461
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deviation 3/5   iterations 150/2000   F1 0.5097095831221174   accuracy 0.6072351421188631   precision 0.5295807636889115   recall 0.5355299151584494
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deviation 3/5   iterations 160/2000   F1 0.4839556066229072   accuracy 0.5917312661498708   precision 0.5192873743521734   recall 0.5055302324319242
deviation 3/5   iterations 170/2000   F1 0.5094883005330767   accuracy 0.6149870801033591   precision 0.5282733992411411   recall 0.527311548369161
deviation 3/5   iterations 180/2000   F1 0.5044777805226565   accuracy 0.6072351421188631   precision 0.5279740475153677   recall 0.5286128615124238
deviation 3/5   iterations 190/2000   F1 0.4981459828812011   accuracy 0.5852713178294574   precision 0.5379640900791235   recall 0.536328919624791
deviation 3/5   iterations 200/2000   F1 0.4982804942051322   accuracy 0.6020671834625323   precision 0.5164848548114898   recall 0.5213819366782811
deviation 3/5   iterations 210/2000   F1 0.5015663699247438   accuracy 0.6291989664082688   precision 0.5250989435509302   recall 0.5131829998149647
deviation 3/5   iterations 220/2000   F1 0.4904638638809404   accuracy 0.6111111111111112   precision 0.526897003660686   recall 0.5071431622360286
deviation 3/5   iterations 230/2000   F1 0.4993501274059066   accuracy 0.6111111111111112   precision 0.5318876535317244   recall 0.5175866244717541
deviation 3/5   iterations 240/2000   F1 0.5085401575426512   accuracy 0.6162790697674418   precision 0.521925401337166   recall 0.5289370625346018
deviation 3/5   iterations 250/2000   F1 0.49994264887890444   accuracy 0.6059431524547804   precision 0.5505515200430454   recall 0.5379738637162037
deviation 3/5   iterations 260/2000   F1 0.5007515830547301   accuracy 0.6111111111111112   precision 0.5344142346387295   recall 0.5229101782396471
deviation 3/5   iterations 270/2000   F1 0.4703901735194491   accuracy 0.5775193798449613   precision 0.5307380889905161   recall 0.5176758217690431
deviation 3/5   iterations 280/2000   F1 0.4825167323277068   accuracy 0.5697674418604651   precision 0.5352763178850135   recall 0.5300137017870367
deviation 3/5   iterations 290/2000   F1 0.48938254217415983   accuracy 0.5749354005167958   precision 0.5318439944283724   recall 0.5281910189635258
deviation 3/5   iterations 300/2000   F1 0.4984080117765681   accuracy 0.6020671834625323   precision 0.5544371094832119   recall 0.5385566385211481
deviation 3/5   iterations 310/2000   F1 0.49562006119913504   accuracy 0.582687338501292   precision 0.5523796999586664   recall 0.5430640124240029
deviation 3/5   iterations 320/2000   F1 0.5169144480051008   accuracy 0.6149870801033591   precision 0.5443157738991667   recall 0.5477411317349801
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deviation 3/5   iterations 330/2000   F1 0.5110157531787746   accuracy 0.6266149870801033   precision 0.5258110133171805   recall 0.528360764371648
deviation 3/5   iterations 340/2000   F1 0.49537059842760334   accuracy 0.6149870801033591   precision 0.5332085186390425   recall 0.5243281939129567
deviation 3/5   iterations 350/2000   F1 0.5305506453322012   accuracy 0.6524547803617571   precision 0.5474490819694952   recall 0.5466797002938019
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deviation 3/5   iterations 360/2000   F1 0.5191918961577741   accuracy 0.6317829457364341   precision 0.5209071361535812   recall 0.5359811485447354
deviation 3/5   iterations 370/2000   F1 0.530664936230321   accuracy 0.6408268733850129   precision 0.5406879768481978   recall 0.551750787998274
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deviation 3/5   iterations 380/2000   F1 0.5163014075181901   accuracy 0.6098191214470284   precision 0.5267571101667211   recall 0.5455622336019829
deviation 3/5   iterations 390/2000   F1 0.5374803491265373   accuracy 0.6576227390180879   precision 0.5391693744457643   recall 0.5508415576438764
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deviation 3/5   iterations 400/2000   F1 0.541605917658082   accuracy 0.6692506459948321   precision 0.5408815283768756   recall 0.5508903784072363
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deviation 3/5   iterations 410/2000   F1 0.5098153116617565   accuracy 0.6253229974160207   precision 0.5437149166472645   recall 0.5367892531029879
deviation 3/5   iterations 420/2000   F1 0.5012912430298108   accuracy 0.5878552971576227   precision 0.5275661440138651   recall 0.5375791574774185
deviation 3/5   iterations 430/2000   F1 0.5208247476478215   accuracy 0.6227390180878553   precision 0.5467138636773533   recall 0.5501698724814778
deviation 3/5   iterations 440/2000   F1 0.5141162588968339   accuracy 0.6136950904392765   precision 0.5429196751351781   recall 0.5462513811029132
deviation 3/5   iterations 450/2000   F1 0.5116188791357058   accuracy 0.6266149870801033   precision 0.5316307164539099   recall 0.5320229364947217
deviation 3/5   iterations 460/2000   F1 0.5126076580000819   accuracy 0.624031007751938   precision 0.5252982725808812   recall 0.5322304349868529
deviation 3/5   iterations 470/2000   F1 0.4970460381595398   accuracy 0.5736434108527132   precision 0.5280733691638896   recall 0.5440617842132097
deviation 3/5   iterations 480/2000   F1 0.5130163108179303   accuracy 0.6136950904392765   precision 0.5310901805103411   recall 0.5417245772740863
deviation 3/5   iterations 490/2000   F1 0.5058589497267397   accuracy 0.5930232558139535   precision 0.5320048309178743   recall 0.538486133304541
deviation 3/5   iterations 500/2000   F1 0.4739757412398922   accuracy 0.562015503875969   precision 0.5246341309782708   recall 0.5179382487438798
deviation 3/5   iterations 510/2000   F1 0.4512460284852726   accuracy 0.5465116279069767   precision 0.5222240925132251   recall 0.49931454172552003
deviation 3/5   iterations 520/2000   F1 0.49258438179939423   accuracy 0.5710594315245479   precision 0.5288323100013644   recall 0.5338937022363025
deviation 3/5   iterations 530/2000   F1 0.5140814483450283   accuracy 0.6266149870801033   precision 0.5298597341558345   recall 0.5336843181395411
deviation 3/5   iterations 540/2000   F1 0.4800550043112475   accuracy 0.582687338501292   precision 0.5194297616350777   recall 0.5077999265270057
deviation 3/5   iterations 550/2000   F1 0.4738214221161077   accuracy 0.5594315245478036   precision 0.5224807179491641   recall 0.5156197338854384
deviation 3/5   iterations 560/2000   F1 0.5289152323206558   accuracy 0.627906976744186   precision 0.5394567831116054   recall 0.5570613884821859
deviation 3/5   iterations 570/2000   F1 0.4872295457527908   accuracy 0.5736434108527132   precision 0.5288120668321529   recall 0.5239716096808253
deviation 3/5   iterations 580/2000   F1 0.49799158826947193   accuracy 0.6072351421188631   precision 0.5339398014401006   recall 0.5217636896330852
deviation 3/5   iterations 590/2000   F1 0.5283123509511397   accuracy 0.624031007751938   precision 0.5454835626439437   recall 0.5549823864031838
deviation 3/5   iterations 600/2000   F1 0.5138620056731177   accuracy 0.6020671834625323   precision 0.5386304398115559   recall 0.5486606919234389
deviation 3/5   iterations 610/2000   F1 0.4872061065480806   accuracy 0.58656330749354   precision 0.5233826161335212   recall 0.5168638640187203
deviation 3/5   iterations 620/2000   F1 0.5178960607837744   accuracy 0.6227390180878553   precision 0.5262042511708733   recall 0.5383187244065039
deviation 3/5   iterations 630/2000   F1 0.4923266331014515   accuracy 0.6007751937984496   precision 0.5287672753510573   recall 0.514772277578382
deviation 3/5   iterations 640/2000   F1 0.5037597561125765   accuracy 0.6059431524547804   precision 0.5288671690435555   recall 0.5279198608194231
deviation 3/5   iterations 650/2000   F1 0.48965603999172563   accuracy 0.5697674418604651   precision 0.5107579406031418   recall 0.5222820669407681
deviation 3/5   iterations 660/2000   F1 0.5098162458047995   accuracy 0.6162790697674418   precision 0.526551406035828   recall 0.5289370625346018
deviation 3/5   iterations 670/2000   F1 0.4907976685551325   accuracy 0.5684754521963824   precision 0.52376680323069   recall 0.520860198075388
deviation 3/5   iterations 680/2000   F1 0.4657940205785285   accuracy 0.537467700258398   precision 0.5059756054694365   recall 0.5062289719216254
deviation 3/5   iterations 690/2000   F1 0.47417349403372566   accuracy 0.5490956072351422   precision 0.516270428563073   recall 0.5187220453989648
deviation 3/5   iterations 700/2000   F1 0.5295704537495388   accuracy 0.6511627906976745   precision 0.5375011421480637   recall 0.538662355354654
deviation 3/5   iterations 710/2000   F1 0.5053435190139309   accuracy 0.6072351421188631   precision 0.5301969786110298   recall 0.5268157163342305
deviation 3/5   iterations 720/2000   F1 0.5098567850245702   accuracy 0.6098191214470284   precision 0.5171868415613836   recall 0.5312529539431231
deviation 3/5   iterations 730/2000   F1 0.4735797272260031   accuracy 0.5684754521963824   precision 0.5141353831784697   recall 0.5001090371373111
deviation 3/5   iterations 740/2000   F1 0.5159342469514288   accuracy 0.6124031007751938   precision 0.5343833185448092   recall 0.5399632995752716
deviation 3/5   iterations 750/2000   F1 0.4953724675147491   accuracy 0.5930232558139535   precision 0.5241869407076987   recall 0.5192605904779097
deviation 3/5   iterations 760/2000   F1 0.47148121557000344   accuracy 0.5426356589147286   precision 0.5270135972904799   recall 0.5179867005845948
deviation 3/5   iterations 770/2000   F1 0.5022202609085794   accuracy 0.6188630490956072   precision 0.5142774773963497   recall 0.5162174295618044
deviation 3/5   iterations 780/2000   F1 0.5128156971770816   accuracy 0.6201550387596899   precision 0.5201089444218326   recall 0.5308124193135432
deviation 3/5   iterations 790/2000   F1 0.5185682558176672   accuracy 0.599483204134367   precision 0.5298291693553417   recall 0.5565141122339751
deviation 3/5   iterations 800/2000   F1 0.5128037648893838   accuracy 0.6149870801033591   precision 0.5293858053514658   recall 0.5343643655485605
deviation 3/5   iterations 810/2000   F1 0.48512274247933096   accuracy 0.5813953488372093   precision 0.5090484952596382   recall 0.5085646621787637
deviation 3/5   iterations 820/2000   F1 0.5160239275939019   accuracy 0.603359173126615   precision 0.5324812267137277   recall 0.5492179290830658
deviation 3/5   iterations 830/2000   F1 0.5139310703351391   accuracy 0.6304909560723514   precision 0.5162409175891821   recall 0.5265060672608288
deviation 3/5   iterations 840/2000   F1 0.45129300466373073   accuracy 0.520671834625323   precision 0.5296257219713758   recall 0.5073418475760839
deviation 3/5   iterations 850/2000   F1 0.49951972862923216   accuracy 0.5839793281653747   precision 0.5180092798088612   recall 0.5317701015086559
deviation 3/5   iterations 860/2000   F1 0.514091507334831   accuracy 0.627906976744186   precision 0.5163658828564932   recall 0.527849724525461
deviation 3/5   iterations 870/2000   F1 0.49899141157002785   accuracy 0.5956072351421189   precision 0.5304522579555103   recall 0.5241730004536108
deviation 3/5   iterations 880/2000   F1 0.5289995408066338   accuracy 0.6408268733850129   precision 0.5339937109505498   recall 0.5434939302796868
deviation 3/5   iterations 890/2000   F1 0.5057087426227654   accuracy 0.603359173126615   precision 0.5168412698412698   recall 0.5260586870666132
deviation 3/5   iterations 900/2000   F1 0.5130293719555005   accuracy 0.6162790697674418   precision 0.550553213312006   recall 0.5325992346576754
deviation 3/5   iterations 910/2000   F1 0.49230418277238625   accuracy 0.5891472868217055   precision 0.5130904668777277   recall 0.5107897576252006
deviation 3/5   iterations 920/2000   F1 0.5354247762642181   accuracy 0.6511627906976745   precision 0.5306018261909623   recall 0.5506314357018249
deviation 3/5   iterations 930/2000   F1 0.516622271351955   accuracy 0.6175710594315246   precision 0.5328238210896066   recall 0.542006434174895
deviation 3/5   iterations 940/2000   F1 0.4917343122179763   accuracy 0.599483204134367   precision 0.5123244722780081   recall 0.5076874461116742
deviation 3/5   iterations 950/2000   F1 0.5189448712755547   accuracy 0.6343669250645995   precision 0.5198494591876944   recall 0.5321114779295306
deviation 3/5   iterations 960/2000   F1 0.5131139604984929   accuracy 0.6149870801033591   precision 0.5183164128595601   recall 0.5332282067760596
deviation 3/5   iterations 970/2000   F1 0.5077366064379566   accuracy 0.6330749354005168   precision 0.5184592982542043   recall 0.514057961354779
deviation 3/5   iterations 980/2000   F1 0.4905440471478207   accuracy 0.5775193798449613   precision 0.5280893722613094   recall 0.5206591762252474
deviation 3/5   iterations 990/2000   F1 0.5329357272921914   accuracy 0.6472868217054264   precision 0.528956453035028   recall 0.5476878019170696
deviation 3/5   iterations 1000/2000   F1 0.48465323887319567   accuracy 0.5671834625322998   precision 0.5335219376613063   recall 0.5178448293318754
deviation 3/5   iterations 1010/2000   F1 0.5294040264746677   accuracy 0.6395348837209303   precision 0.5244689922109277   recall 0.5469883245820782
deviation 3/5   iterations 1020/2000   F1 0.5303065878532465   accuracy 0.6395348837209303   precision 0.53842723341728   recall 0.5501252738328333
deviation 3/5   iterations 1030/2000   F1 0.49214438655432446   accuracy 0.5956072351421189   precision 0.5117089937439129   recall 0.5144584063902649
deviation 3/5   iterations 1040/2000   F1 0.532890110716498   accuracy 0.665374677002584   precision 0.5364310523303831   recall 0.5374354006200688
deviation 3/5   iterations 1050/2000   F1 0.5241976313101048   accuracy 0.627906976744186   precision 0.5242702529936573   recall 0.5444134904681456
deviation 3/5   iterations 1060/2000   F1 0.529732126822868   accuracy 0.6447028423772609   precision 0.5299920913529975   recall 0.5430469190081162
deviation 3/5   iterations 1070/2000   F1 0.5098223426602638   accuracy 0.6111111111111112   precision 0.5312352663837813   recall 0.5377446807708254
deviation 3/5   iterations 1080/2000   F1 0.5336846298059933   accuracy 0.6576227390180879   precision 0.5341922931665164   recall 0.5419915952862836
deviation 3/5   iterations 1090/2000   F1 0.5153134699661593   accuracy 0.6162790697674418   precision 0.5180980331693976   recall 0.5383122477645133
deviation 3/5   iterations 1100/2000   F1 0.49853759649858936   accuracy 0.5878552971576227   precision 0.5292405958278313   recall 0.5332559989486524
deviation 3/5   iterations 1110/2000   F1 0.5273014923410156   accuracy 0.6498708010335917   precision 0.5243661108837748   recall 0.5369010776558393
deviation 3/5   iterations 1120/2000   F1 0.5278313511196829   accuracy 0.6421188630490956   precision 0.5307399715948717   recall 0.5444584580394353
deviation 3/5   iterations 1130/2000   F1 0.5233513180979311   accuracy 0.6434108527131783   precision 0.5222444387551914   recall 0.5343685876632759
deviation 3/5   iterations 1140/2000   F1 0.49155924500486065   accuracy 0.5801033591731266   precision 0.5180874074272311   recall 0.5255715862009486
deviation 3/5   iterations 1150/2000   F1 0.5138370066611421   accuracy 0.6175710594315246   precision 0.5313392446542755   recall 0.5385479073518823
deviation 3/5   iterations 1160/2000   F1 0.5159027727013957   accuracy 0.6201550387596899   precision 0.5241303080720451   recall 0.5343388279032429
deviation 3/5   iterations 1170/2000   F1 0.5006358747979127   accuracy 0.6085271317829457   precision 0.5269701520729232   recall 0.5232534402651521
deviation 3/5   iterations 1180/2000   F1 0.5069295586427232   accuracy 0.6188630490956072   precision 0.5157635876139011   recall 0.5223377332687636
deviation 3/5   iterations 1190/2000   F1 0.515635775171381   accuracy 0.6317829457364341   precision 0.5205142931489536   recall 0.5282673449596436
deviation 3/5   iterations 1200/2000   F1 0.5053147417921582   accuracy 0.6149870801033591   precision 0.5183736495263441   recall 0.5203266129564486
deviation 3/5   iterations 1210/2000   F1 0.5214420916055248   accuracy 0.6627906976744186   precision 0.5218081297971812   recall 0.5227405148143348
deviation 3/5   iterations 1220/2000   F1 0.4968375584800883   accuracy 0.582687338501292   precision 0.5340415858696851   recall 0.5349429182387896
deviation 3/5   iterations 1230/2000   F1 0.4844651903740007   accuracy 0.5490956072351422   precision 0.5246902481595287   recall 0.5344211796358963
deviation 3/5   iterations 1240/2000   F1 0.5387634249356903   accuracy 0.6602067183462532   precision 0.5390839865859659   recall 0.5487690322068649
deviation 3/5   iterations 1250/2000   F1 0.5222136822672752   accuracy 0.6421188630490956   precision 0.5199298061065462   recall 0.5344723369093415
deviation 3/5   iterations 1260/2000   F1 0.5204197565881472   accuracy 0.6343669250645995   precision 0.5302144741540976   recall 0.5359094135859781
deviation 3/5   iterations 1270/2000   F1 0.4937523723177339   accuracy 0.5749354005167958   precision 0.526321119781587   recall 0.5342434409037983
deviation 3/5   iterations 1280/2000   F1 0.5313777864447261   accuracy 0.6459948320413437   precision 0.527575927932412   recall 0.5454013013459363
deviation 3/5   iterations 1290/2000   F1 0.5187802441957644   accuracy 0.624031007751938   precision 0.5300054880324971   recall 0.5410125155777586
deviation 3/5   iterations 1300/2000   F1 0.5288944068191744   accuracy 0.6382428940568475   precision 0.5318077012736558   recall 0.5476351279616393
deviation 3/5   iterations 1310/2000   F1 0.5188418314843023   accuracy 0.6589147286821705   precision 0.5243198603515683   recall 0.5200005263296402
deviation 3/5   iterations 1320/2000   F1 0.48914803244273236   accuracy 0.5917312661498708   precision 0.5190162353019391   recall 0.5151769447285832
deviation 3/5   iterations 1330/2000   F1 0.4951886560426646   accuracy 0.5943152454780362   precision 0.5227056554992067   recall 0.5217507363491037
deviation 3/5   iterations 1340/2000   F1 0.5110973264707531   accuracy 0.6550387596899225   precision 0.5175125592298291   recall 0.5118012205436789
deviation 3/5   iterations 1350/2000   F1 0.525970891134599   accuracy 0.6472868217054264   precision 0.5297115358129618   recall 0.536515471508965
deviation 3/5   iterations 1360/2000   F1 0.5134111616878739   accuracy 0.6227390180878553   precision 0.5164788624902578   recall 0.5313337889937914
deviation 3/5   iterations 1370/2000   F1 0.4975262468795414   accuracy 0.6589147286821705   precision 0.5095186573043479   recall 0.49192502114541625
deviation 3/5   iterations 1380/2000   F1 0.527292258999576   accuracy 0.6498708010335917   precision 0.5296954245140774   recall 0.5353075777777067
deviation 3/5   iterations 1390/2000   F1 0.5201989868688357   accuracy 0.6382428940568475   precision 0.5255331088664422   recall 0.5307998349522068
deviation 3/5   iterations 1400/2000   F1 0.5232332933173269   accuracy 0.6524547803617571   precision 0.5281256347621666   recall 0.5261143533946089
deviation 3/5   iterations 1410/2000   F1 0.5374655347742278   accuracy 0.6744186046511628   precision 0.5340304750055265   recall 0.5453376416939649
deviation 3/5   iterations 1420/2000   F1 0.5372516645116177   accuracy 0.6576227390180879   precision 0.5347343551568904   recall 0.5472472672874896
deviation 3/5   iterations 1430/2000   F1 0.5024513707378158   accuracy 0.603359173126615   precision 0.522672482638776   recall 0.5220070556045949
deviation 3/5   iterations 1440/2000   F1 0.4802361388878212   accuracy 0.5917312661498708   precision 0.502828515907108   recall 0.49395061142369795
deviation 3/5   iterations 1450/2000   F1 0.5191830003366636   accuracy 0.6627906976744186   precision 0.5236802408163911   recall 0.5166880928740624
deviation 3/5   iterations 1460/2000   F1 0.5232769917690342   accuracy 0.648578811369509   precision 0.5206154206154207   recall 0.5318170366673857
deviation 3/5   iterations 1470/2000   F1 0.5133245435295057   accuracy 0.6291989664082688   precision 0.528473513434686   recall 0.5280175023461431
deviation 3/5   iterations 1480/2000   F1 0.5000163598796505   accuracy 0.5775193798449613   precision 0.538967032967033   recall 0.5408851142910057
deviation 3/5   iterations 1490/2000   F1 0.509138364429287   accuracy 0.624031007751938   precision 0.518996687643143   recall 0.5243129861017002
deviation 3/5   iterations 1500/2000   F1 0.5138559605134128   accuracy 0.6434108527131783   precision 0.5183038446176017   recall 0.5187373351930314
deviation 3/5   iterations 1510/2000   F1 0.5073130852098241   accuracy 0.6459948320413437   precision 0.517650742342191   recall 0.507950610931801
deviation 3/5   iterations 1520/2000   F1 0.4830846699808249   accuracy 0.6020671834625323   precision 0.5002887039493856   recall 0.4933064314940572
deviation 3/5   iterations 1530/2000   F1 0.5010539610519076   accuracy 0.6124031007751938   precision 0.5048060543206174   recall 0.5152784394473735
deviation 3/5   iterations 1540/2000   F1 0.5118683311081008   accuracy 0.6602067183462532   precision 0.5208749053484693   recall 0.5092496695477885
deviation 3/5   iterations 1550/2000   F1 0.5104863687589235   accuracy 0.6563307493540051   precision 0.5081320560233454   recall 0.5138840758147513
deviation 3/5   iterations 1560/2000   F1 0.5193011233687684   accuracy 0.6524547803617571   precision 0.5172936946569056   recall 0.5251139581554819
deviation 3/5   iterations 1570/2000   F1 0.49251817345529475   accuracy 0.6227390180878553   precision 0.5165015098369516   recall 0.4964769936969156
deviation 3/5   iterations 1580/2000   F1 0.4995855342137417   accuracy 0.6149870801033591   precision 0.5361561282817471   recall 0.525124943852023
deviation 3/5   iterations 1590/2000   F1 0.5193974139481455   accuracy 0.6369509043927648   precision 0.5286514605842337   recall 0.5320397429707734
deviation 3/5   iterations 1600/2000   F1 0.5151510457219192   accuracy 0.6382428940568475   precision 0.5182934247055473   recall 0.5256120447176876
deviation 3/5   iterations 1610/2000   F1 0.49684519420739853   accuracy 0.6175710594315246   precision 0.5125800282473724   recall 0.5095398886952182
deviation 3/5   iterations 1620/2000   F1 0.4970955067757699   accuracy 0.6162790697674418   precision 0.5177848307222882   recall 0.5088468880022174
deviation 3/5   iterations 1630/2000   F1 0.49536612949665915   accuracy 0.6007751937984496   precision 0.5055725767590175   recall 0.5180950408680208
deviation 3/5   iterations 1640/2000   F1 0.4995689951272759   accuracy 0.6356589147286822   precision 0.500009242413924   recall 0.5030675917934878
deviation 3/5   iterations 1650/2000   F1 0.5168259028995519   accuracy 0.6317829457364341   precision 0.515086856275703   recall 0.5291319766653967
deviation 3/5   iterations 1660/2000   F1 0.5088619949018183   accuracy 0.6447028423772609   precision 0.5130500280670401   recall 0.5107161370618132
deviation 3/5   iterations 1670/2000   F1 0.513780300522089   accuracy 0.6421188630490956   precision 0.5135869413758968   recall 0.5195020708447894
deviation 3/5   iterations 1680/2000   F1 0.5056220467985174   accuracy 0.6434108527131783   precision 0.512505251937794   recall 0.507293477718179
deviation 3/5   iterations 1690/2000   F1 0.5132373898636206   accuracy 0.6356589147286822   precision 0.515902454549071   recall 0.5224288981534929
deviation 3/5   iterations 1700/2000   F1 0.5047293977693809   accuracy 0.6382428940568475   precision 0.507652108995894   recall 0.5080478835358759
deviation 3/5   iterations 1710/2000   F1 0.5237630073353912   accuracy 0.6472868217054264   precision 0.5299445052605972   recall 0.5341252216917661
deviation 3/5   iterations 1720/2000   F1 0.5281250704058037   accuracy 0.6627906976744186   precision 0.5282659801249835   recall 0.5289965820546679
deviation 3/5   iterations 1730/2000   F1 0.5143038361723687   accuracy 0.648578811369509   precision 0.513759938433524   recall 0.5179150476086475
deviation 3/5   iterations 1740/2000   F1 0.5184670473619308   accuracy 0.6459948320413437   precision 0.5142278995339493   recall 0.5259721132192444
deviation 3/5   iterations 1750/2000   F1 0.528450677248325   accuracy 0.665374677002584   precision 0.5303921766631117   recall 0.5295179517349161
deviation 3/5   iterations 1760/2000   F1 0.511268526012427   accuracy 0.6563307493540051   precision 0.5112784867749037   recall 0.5113580624641786
deviation 3/5   iterations 1770/2000   F1 0.5258952471853237   accuracy 0.6666666666666666   precision 0.5253471824967219   recall 0.5307361753002354
deviation 3/5   iterations 1780/2000   F1 0.5218532044439498   accuracy 0.6666666666666666   precision 0.5208514723282656   recall 0.5230223717151435
deviation 3/5   iterations 1790/2000   F1 0.5219388677880268   accuracy 0.6576227390180879   precision 0.5286981502340081   recall 0.5237664476987794
deviation 3/5   iterations 1800/2000   F1 0.5253304118338162   accuracy 0.6498708010335917   precision 0.5269440049778001   recall 0.5327136826604472
deviation 3/5   iterations 1810/2000   F1 0.5169909863586966   accuracy 0.6589147286821705   precision 0.5202012441002277   recall 0.5172708676790068
deviation 3/5   iterations 1820/2000   F1 0.5135667726121856   accuracy 0.661498708010336   precision 0.5181743805516597   recall 0.5116719336522957
deviation 3/5   iterations 1830/2000   F1 0.5221890710338469   accuracy 0.6524547803617571   precision 0.5323541566960992   recall 0.5263179986946698
deviation 3/5   iterations 1840/2000   F1 0.5068608135985072   accuracy 0.6356589147286822   precision 0.5245773859463156   recall 0.5157154898075281
deviation 3/5   iterations 1850/2000   F1 0.5317936930195425   accuracy 0.6640826873385013   precision 0.530960045535993   recall 0.5358098864546279
deviation 3/5   iterations 1860/2000   F1 0.5398357355419089   accuracy 0.6731266149870802   precision 0.5366114561766735   recall 0.5439836545952718
deviation 3/5   iterations 1870/2000   F1 0.5078592611823521   accuracy 0.6537467700258398   precision 0.5129358011757174   recall 0.5057846660827852
deviation 3/5   iterations 1880/2000   F1 0.5052212081315038   accuracy 0.6408268733850129   precision 0.5135418136292286   recall 0.508637134982811
deviation 3/5   iterations 1890/2000   F1 0.5016848971204023   accuracy 0.6317829457364341   precision 0.5151763504476357   recall 0.5119072243170196
deviation 3/5   iterations 1900/2000   F1 0.49787109646121497   accuracy 0.6421188630490956   precision 0.5215483783874996   recall 0.5034813590356002
deviation 3/5   iterations 1910/2000   F1 0.5145594144090384   accuracy 0.6382428940568475   precision 0.5237469145303529   recall 0.5239506630728682
deviation 3/5   iterations 1920/2000   F1 0.4947589597996102   accuracy 0.6227390180878553   precision 0.5095291064145346   recall 0.5071241012327018
deviation 3/5   iterations 1930/2000   F1 0.5081670159452961   accuracy 0.627906976744186   precision 0.5166727952442238   recall 0.5174741440564226
deviation 3/5   iterations 1940/2000   F1 0.5077233758887193   accuracy 0.6498708010335917   precision 0.5119972881312363   recall 0.5088934542383022
deviation 3/5   iterations 1950/2000   F1 0.5012512611005732   accuracy 0.627906976744186   precision 0.5191395506436113   recall 0.5124899991219641
deviation 3/5   iterations 1960/2000   F1 0.4955084633842941   accuracy 0.6227390180878553   precision 0.5184498535748897   recall 0.5017326656981217
deviation 3/5   iterations 1970/2000   F1 0.5040340887335423   accuracy 0.6550387596899225   precision 0.5200397042502306   recall 0.5014256400746405
deviation 3/5   iterations 1980/2000   F1 0.5150576541734726   accuracy 0.6472868217054264   precision 0.5115099715099715   recall 0.5205448102052858
deviation 3/5   iterations 1990/2000   F1 0.5115477924888522   accuracy 0.6602067183462532   precision 0.5164814015207589   recall 0.5083171560753484
deviation 3/5   iterations 2000/2000   F1 0.5154335768831925   accuracy 0.6563307493540051   precision 0.5153870999801232   recall 0.5158169845263184

deviation 4/5   iterations 10/2000   F1 0.4483244248337878   accuracy 0.5904392764857881   precision 0.45083027680544435   recall 0.4492114442427941
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deviation 4/5   iterations 20/2000   F1 0.41307583695047206   accuracy 0.5633074935400517   precision 0.4736588203867451   recall 0.4558347124891547
deviation 4/5   iterations 30/2000   F1 0.475451217444215   accuracy 0.624031007751938   precision 0.4737160997083761   recall 0.47826602913554295
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deviation 4/5   iterations 40/2000   F1 0.495054670840706   accuracy 0.6472868217054264   precision 0.4941836559876649   recall 0.5010477403119069
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deviation 4/5   iterations 50/2000   F1 0.5053178860757692   accuracy 0.6149870801033591   precision 0.5061043632863059   recall 0.5234457309460266
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deviation 4/5   iterations 60/2000   F1 0.49100567316838567   accuracy 0.5930232558139535   precision 0.49827429964729736   recall 0.5141228507489007
deviation 4/5   iterations 70/2000   F1 0.500197047722578   accuracy 0.6266149870801033   precision 0.5007602468654411   recall 0.5103214308230278
deviation 4/5   iterations 80/2000   F1 0.5154730626052954   accuracy 0.624031007751938   precision 0.5171300930751492   recall 0.5352816712097441
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deviation 4/5   iterations 90/2000   F1 0.5197764413564028   accuracy 0.6421188630490956   precision 0.5202603865450803   recall 0.5384560866046729
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deviation 4/5   iterations 100/2000   F1 0.5005656077493276   accuracy 0.5788113695090439   precision 0.5232691658223573   recall 0.5367119023217449
deviation 4/5   iterations 110/2000   F1 0.5053426663125067   accuracy 0.6149870801033591   precision 0.5206346933730797   recall 0.5220558763679549
deviation 4/5   iterations 120/2000   F1 0.5054247702662189   accuracy 0.6072351421188631   precision 0.5267230360251202   recall 0.5276124662732967
deviation 4/5   iterations 130/2000   F1 0.4898188011803872   accuracy 0.5891472868217055   precision 0.5213922388113593   recall 0.5145876932816481
deviation 4/5   iterations 140/2000   F1 0.5469681974135656   accuracy 0.6718346253229974   precision 0.5445290622527547   recall 0.5558027883829374
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deviation 4/5   iterations 150/2000   F1 0.5354885033176638   accuracy 0.6679586563307494   precision 0.5330314732666256   recall 0.542212047062396
deviation 4/5   iterations 160/2000   F1 0.5391636863312547   accuracy 0.6718346253229974   precision 0.5368251788851928   recall 0.5460203125529045
deviation 4/5   iterations 170/2000   F1 0.5445228951223963   accuracy 0.6821705426356589   precision 0.5447820380480087   recall 0.5473090413348309
deviation 4/5   iterations 180/2000   F1 0.5340452027023352   accuracy 0.6511627906976745   precision 0.5319560738968634   recall 0.5490379358236924
deviation 4/5   iterations 190/2000   F1 0.5313212117277626   accuracy 0.6317829457364341   precision 0.5333040489468852   recall 0.5586652181943794
deviation 4/5   iterations 200/2000   F1 0.5506607255916187   accuracy 0.6550387596899225   precision 0.5469352863231371   recall 0.575462389197158
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deviation 4/5   iterations 210/2000   F1 0.5440490144578719   accuracy 0.6666666666666666   precision 0.5393141415690886   recall 0.5588116804844594
deviation 4/5   iterations 220/2000   F1 0.5336608735680816   accuracy 0.6666666666666666   precision 0.5326110916611558   recall 0.540722296430329
deviation 4/5   iterations 230/2000   F1 0.5302835645310243   accuracy 0.6369509043927648   precision 0.5326013303757299   recall 0.5529266674422241
deviation 4/5   iterations 240/2000   F1 0.5254514728198938   accuracy 0.6356589147286822   precision 0.5263288263675711   recall 0.5466385859145826
deviation 4/5   iterations 250/2000   F1 0.5231687540475048   accuracy 0.627906976744186   precision 0.5267666445721019   recall 0.546074872112965
deviation 4/5   iterations 260/2000   F1 0.518178456595638   accuracy 0.6149870801033591   precision 0.5298418413335012   recall 0.5456724594900391
deviation 4/5   iterations 270/2000   F1 0.5096269980027196   accuracy 0.6059431524547804   precision 0.5223314696998907   recall 0.5363625325768943
deviation 4/5   iterations 280/2000   F1 0.5063391158675385   accuracy 0.6007751937984496   precision 0.5187541384985308   recall 0.5316576210933244
deviation 4/5   iterations 290/2000   F1 0.5042894431530438   accuracy 0.5904392764857881   precision 0.5210567788912565   recall 0.5359639731460387
deviation 4/5   iterations 300/2000   F1 0.5297391302335913   accuracy 0.6395348837209303   precision 0.531143197099915   recall 0.5491248785937062
deviation 4/5   iterations 310/2000   F1 0.5308285788211967   accuracy 0.6343669250645995   precision 0.5345135250149466   recall 0.5542024429401692
deviation 4/5   iterations 320/2000   F1 0.5042606077095831   accuracy 0.6085271317829457   precision 0.5169059891998037   recall 0.5292880309442477
deviation 4/5   iterations 330/2000   F1 0.504203269857283   accuracy 0.6149870801033591   precision 0.5125654467679852   recall 0.5249034672907854
deviation 4/5   iterations 340/2000   F1 0.5413607440039159   accuracy 0.6602067183462532   precision 0.5400938178309841   recall 0.5547535723804504
deviation 4/5   iterations 350/2000   F1 0.5327639161432906   accuracy 0.6395348837209303   precision 0.533526463563777   recall 0.5543126688282255
deviation 4/5   iterations 360/2000   F1 0.5189759195218785   accuracy 0.6162790697674418   precision 0.5264267417636092   recall 0.5451614196438519
deviation 4/5   iterations 370/2000   F1 0.516264917334436   accuracy 0.6085271317829457   precision 0.5270411913207427   recall 0.5438009559031681
deviation 4/5   iterations 380/2000   F1 0.548479270762604   accuracy 0.6602067183462532   precision 0.544479996517348   recall 0.5677909297334353
deviation 4/5   iterations 390/2000   F1 0.5201566306892196   accuracy 0.6136950904392765   precision 0.5283770563550704   recall 0.5490989720257436
deviation 4/5   iterations 400/2000   F1 0.5086440093902781   accuracy 0.5968992248062015   precision 0.5226156445784879   recall 0.5366993179604087
deviation 4/5   iterations 410/2000   F1 0.518655734016776   accuracy 0.627906976744186   precision 0.5233451680178253   recall 0.5372927915220592
deviation 4/5   iterations 420/2000   F1 0.5160245221200338   accuracy 0.6266149870801033   precision 0.521700275274457   recall 0.5423806857025832
deviation 4/5   iterations 430/2000   F1 0.5216274176805626   accuracy 0.6356589147286822   precision 0.5249293398767391   recall 0.5354662555064779
deviation 4/5   iterations 440/2000   F1 0.5166674010428142   accuracy 0.624031007751938   precision 0.5270265708718481   recall 0.5356210800431787
deviation 4/5   iterations 450/2000   F1 0.5260173272281846   accuracy 0.6227390180878553   precision 0.5335102462037447   recall 0.5504914500537357
deviation 4/5   iterations 460/2000   F1 0.5000338753387533   accuracy 0.603359173126615   precision 0.511243345878683   recall 0.5247867647607385
deviation 4/5   iterations 470/2000   F1 0.5236745015130788   accuracy 0.6291989664082688   precision 0.5292167788443856   recall 0.5425804778105737
deviation 4/5   iterations 480/2000   F1 0.5423132354552983   accuracy 0.6511627906976745   precision 0.5416648621747228   recall 0.561346425004298
deviation 4/5   iterations 490/2000   F1 0.5053832131251487   accuracy 0.5904392764857881   precision 0.5239669700033703   recall 0.5376932365575451
deviation 4/5   iterations 500/2000   F1 0.5085615208220993   accuracy 0.5878552971576227   precision 0.5279148424188994   recall 0.5432921705842563
deviation 4/5   iterations 510/2000   F1 0.5393198499587394   accuracy 0.6434108527131783   precision 0.5397803250535832   recall 0.5640375927256325
deviation 4/5   iterations 520/2000   F1 0.529952064326581   accuracy 0.6343669250645995   precision 0.5331308315464393   recall 0.5514049025228488
deviation 4/5   iterations 530/2000   F1 0.5168498998137596   accuracy 0.6149870801033591   precision 0.5268354074842279   recall 0.5434680237117241
deviation 4/5   iterations 540/2000   F1 0.519114388931349   accuracy 0.5981912144702842   precision 0.5390653502681805   recall 0.5559568750743481
deviation 4/5   iterations 550/2000   F1 0.537731780603368   accuracy 0.661498708010336   precision 0.5330850858361038   recall 0.5499872557721842
deviation 4/5   iterations 560/2000   F1 0.5429509275994211   accuracy 0.6692506459948321   precision 0.5381809568043726   recall 0.5549420098692547
deviation 4/5   iterations 570/2000   F1 0.4865888237848474   accuracy 0.5555555555555556   precision 0.523442925066245   recall 0.5299008524490602
deviation 4/5   iterations 580/2000   F1 0.48950823733432425   accuracy 0.562015503875969   precision 0.5165585197071507   recall 0.53509511932557
deviation 4/5   iterations 590/2000   F1 0.5254878678742898   accuracy 0.6149870801033591   precision 0.5335944407284486   recall 0.5594386850154033
deviation 4/5   iterations 600/2000   F1 0.49996297626888614   accuracy 0.5839793281653747   precision 0.5237010728684637   recall 0.5273790612132029
deviation 4/5   iterations 610/2000   F1 0.49374164372426455   accuracy 0.5723514211886305   precision 0.5164957210945772   recall 0.527194476916469
deviation 4/5   iterations 620/2000   F1 0.5107223209921323   accuracy 0.6020671834625323   precision 0.5235657014190113   recall 0.5404717159715385
deviation 4/5   iterations 630/2000   F1 0.5122206682206681   accuracy 0.6059431524547804   precision 0.520001337951003   recall 0.5362267690435205
deviation 4/5   iterations 640/2000   F1 0.47385625408427884   accuracy 0.5452196382428941   precision 0.5060447080621641   recall 0.5101833307795688
deviation 4/5   iterations 650/2000   F1 0.4989682444529908   accuracy 0.5917312661498708   precision 0.5087645627235861   recall 0.526145629836627
deviation 4/5   iterations 660/2000   F1 0.5132929682231543   accuracy 0.6098191214470284   precision 0.5184415139445334   recall 0.5399671527673421
deviation 4/5   iterations 670/2000   F1 0.49501398022115173   accuracy 0.5633074935400517   precision 0.5284111657554148   recall 0.5392466468415836
deviation 4/5   iterations 680/2000   F1 0.5154279795318287   accuracy 0.6188630490956072   precision 0.5176960543474964   recall 0.5378332222056343
deviation 4/5   iterations 690/2000   F1 0.5041224115913777   accuracy 0.624031007751938   precision 0.5053571995390107   recall 0.5243630366072103
deviation 4/5   iterations 700/2000   F1 0.5062490795218918   accuracy 0.6098191214470284   precision 0.51013811948436   recall 0.5301167951706223
deviation 4/5   iterations 710/2000   F1 0.49583984792173946   accuracy 0.5697674418604651   precision 0.5189338849437372   recall 0.5362519377661931
deviation 4/5   iterations 720/2000   F1 0.4880164130607538   accuracy 0.5762273901808785   precision 0.5171535898756625   recall 0.5199661755322468
deviation 4/5   iterations 730/2000   F1 0.5027248580112346   accuracy 0.6098191214470284   precision 0.5069435673944946   recall 0.5180798330567643
deviation 4/5   iterations 740/2000   F1 0.48641105947342406   accuracy 0.5568475452196382   precision 0.5169513841046528   recall 0.5259312857798603
deviation 4/5   iterations 750/2000   F1 0.5048953436615808   accuracy 0.599483204134367   precision 0.5186498338034543   recall 0.5303715157613181
deviation 4/5   iterations 760/2000   F1 0.5217124702739744   accuracy 0.6291989664082688   precision 0.5239415855087497   recall 0.5399187009266271
deviation 4/5   iterations 770/2000   F1 0.5027473328806648   accuracy 0.5891472868217055   precision 0.5172918795309687   recall 0.5357283135586696
deviation 4/5   iterations 780/2000   F1 0.5094905282033712   accuracy 0.6020671834625323   precision 0.5177740957423023   recall 0.5375384120208443
deviation 4/5   iterations 790/2000   F1 0.4973881945633358   accuracy 0.6072351421188631   precision 0.5056010075247528   recall 0.5087763827856103
deviation 4/5   iterations 800/2000   F1 0.49334757849160854   accuracy 0.6124031007751938   precision 0.49721730125923735   recall 0.5103443450184253
deviation 4/5   iterations 810/2000   F1 0.49493824129784053   accuracy 0.5801033591731266   precision 0.5207117317303472   recall 0.5235707957226945
deviation 4/5   iterations 820/2000   F1 0.5093061823397115   accuracy 0.6020671834625323   precision 0.5191896332920257   recall 0.5391319118989769
deviation 4/5   iterations 830/2000   F1 0.5224453516401407   accuracy 0.6343669250645995   precision 0.5220603052507361   recall 0.5381638998698032
deviation 4/5   iterations 840/2000   F1 0.508453267740116   accuracy 0.6046511627906976   precision 0.5223141627311123   recall 0.5322110050608808
deviation 4/5   iterations 850/2000   F1 0.49376931805743585   accuracy 0.5775193798449613   precision 0.5141040740257116   recall 0.526507952865459
deviation 4/5   iterations 860/2000   F1 0.5212282534582305   accuracy 0.6395348837209303   precision 0.5231151487494399   recall 0.5347477171681596
deviation 4/5   iterations 870/2000   F1 0.5000007211729156   accuracy 0.6072351421188631   precision 0.5074617593370783   recall 0.5174226998431423
deviation 4/5   iterations 880/2000   F1 0.4910587018842471   accuracy 0.5956072351421189   precision 0.5078700165013713   recall 0.5034718900210442
deviation 4/5   iterations 890/2000   F1 0.515256589028423   accuracy 0.6227390180878553   precision 0.51972808956605   recall 0.5336561570443032
deviation 4/5   iterations 900/2000   F1 0.5058548667293433   accuracy 0.5917312661498708   precision 0.5262883695375508   recall 0.5340630787217798
deviation 4/5   iterations 910/2000   F1 0.5159900140427524   accuracy 0.6162790697674418   precision 0.5213273887577586   recall 0.5399057476426458
deviation 4/5   iterations 920/2000   F1 0.4732393084678002   accuracy 0.5503875968992248   precision 0.5053591470363745   recall 0.5041732529606657
deviation 4/5   iterations 930/2000   F1 0.5378413584295937   accuracy 0.648578811369509   precision 0.5330661756346755   recall 0.5562303697285361
deviation 4/5   iterations 940/2000   F1 0.508457733278103   accuracy 0.5981912144702842   precision 0.5249300543421432   recall 0.5357309370085899
deviation 4/5   iterations 950/2000   F1 0.4969380226741604   accuracy 0.603359173126615   precision 0.5044799013348245   recall 0.522124987876792
deviation 4/5   iterations 960/2000   F1 0.5031949319812313   accuracy 0.6059431524547804   precision 0.5075280527341083   recall 0.5246471480352942
deviation 4/5   iterations 970/2000   F1 0.4977182077182077   accuracy 0.5981912144702842   precision 0.5046612007834786   recall 0.5180310122934043
deviation 4/5   iterations 980/2000   F1 0.5172587126341331   accuracy 0.6227390180878553   precision 0.5179076330376566   recall 0.53725044740069
deviation 4/5   iterations 990/2000   F1 0.5124721392327026   accuracy 0.603359173126615   precision 0.5241627641142961   recall 0.5402322031920991
deviation 4/5   iterations 1000/2000   F1 0.5152712272365488   accuracy 0.6563307493540051   precision 0.5225153532523809   recall 0.5301763146906883
deviation 4/5   iterations 1010/2000   F1 0.4973082689035997   accuracy 0.5904392764857881   precision 0.509552800193651   recall 0.5217904570205528
deviation 4/5   iterations 1020/2000   F1 0.4972948951209821   accuracy 0.5801033591731266   precision 0.5150308745477173   recall 0.5295553358962799
deviation 4/5   iterations 1030/2000   F1 0.5150764007371088   accuracy 0.6395348837209303   precision 0.5151296655254439   recall 0.534408308334725
deviation 4/5   iterations 1040/2000   F1 0.5085112975137912   accuracy 0.6020671834625323   precision 0.5235975813250201   recall 0.538946097860093
deviation 4/5   iterations 1050/2000   F1 0.5039786241621104   accuracy 0.6188630490956072   precision 0.5066715329151232   recall 0.5176072841398761
deviation 4/5   iterations 1060/2000   F1 0.49284599863966944   accuracy 0.5968992248062015   precision 0.5019153402259171   recall 0.5110819443600705
deviation 4/5   iterations 1070/2000   F1 0.5072108198684381   accuracy 0.6136950904392765   precision 0.514602902597952   recall 0.52382100725884
deviation 4/5   iterations 1080/2000   F1 0.5214760454837717   accuracy 0.6395348837209303   precision 0.5220230917278413   recall 0.5348155989348465
deviation 4/5   iterations 1090/2000   F1 0.49323615552290695   accuracy 0.5788113695090439   precision 0.5098946382413411   recall 0.5233351361353255
deviation 4/5   iterations 1100/2000   F1 0.5066742408670913   accuracy 0.627906976744186   precision 0.5064858716475095   recall 0.5239160253356396
deviation 4/5   iterations 1110/2000   F1 0.5135047255165455   accuracy 0.6124031007751938   precision 0.5233688380448275   recall 0.5381661543970783
deviation 4/5   iterations 1120/2000   F1 0.49653789806461557   accuracy 0.58656330749354   precision 0.5095823435565695   recall 0.5241703770036906
deviation 4/5   iterations 1130/2000   F1 0.5250486470926886   accuracy 0.6421188630490956   precision 0.5227769084301278   recall 0.5421861404944334
deviation 4/5   iterations 1140/2000   F1 0.5102751656178114   accuracy 0.6214470284237726   precision 0.511252703886291   recall 0.526046102705277
deviation 4/5   iterations 1150/2000   F1 0.4931287046080679   accuracy 0.5749354005167958   precision 0.5129098079464933   recall 0.5267154513575902
deviation 4/5   iterations 1160/2000   F1 0.505683827606803   accuracy 0.6124031007751938   precision 0.5114612991282397   recall 0.5221954930933991
deviation 4/5   iterations 1170/2000   F1 0.5121180847266099   accuracy 0.603359173126615   precision 0.5243430111334041   recall 0.5428939800760456
deviation 4/5   iterations 1180/2000   F1 0.5196666863738402   accuracy 0.6317829457364341   precision 0.5191760566080719   recall 0.5392360300676874
deviation 4/5   iterations 1190/2000   F1 0.5011109430387309   accuracy 0.599483204134367   precision 0.5116138245060992   recall 0.5247764349266775
deviation 4/5   iterations 1200/2000   F1 0.5094403971413106   accuracy 0.6227390180878553   precision 0.5108745845675767   recall 0.5282647215097233
deviation 4/5   iterations 1210/2000   F1 0.5016031074003117   accuracy 0.5943152454780362   precision 0.5114455665483214   recall 0.5289893675673872
deviation 4/5   iterations 1220/2000   F1 0.5326148600772155   accuracy 0.6718346253229974   precision 0.5335862662578488   recall 0.5370345866619379
deviation 4/5   iterations 1230/2000   F1 0.5115741687720903   accuracy 0.6330749354005168   precision 0.5093798729050775   recall 0.5233652648180035
deviation 4/5   iterations 1240/2000   F1 0.5052773378769077   accuracy 0.6072351421188631   precision 0.5077934895086781   recall 0.5271372939064883
deviation 4/5   iterations 1250/2000   F1 0.49931692430143987   accuracy 0.599483204134367   precision 0.5043397152046322   recall 0.522046776276044
deviation 4/5   iterations 1260/2000   F1 0.5059364580380318   accuracy 0.6098191214470284   precision 0.5102659553650924   recall 0.5252684137695377
deviation 4/5   iterations 1270/2000   F1 0.5167409008777928   accuracy 0.6447028423772609   precision 0.513313802143445   recall 0.52607586246531
deviation 4/5   iterations 1280/2000   F1 0.5085641132281852   accuracy 0.6085271317829457   precision 0.5145094722874881   recall 0.5314245849558756
deviation 4/5   iterations 1290/2000   F1 0.5029824347474093   accuracy 0.5981912144702842   precision 0.5124575239603975   recall 0.5276777245900633
deviation 4/5   iterations 1300/2000   F1 0.4900028809689667   accuracy 0.6007751937984496   precision 0.49680802130323487   recall 0.5037178794424743
deviation 4/5   iterations 1310/2000   F1 0.49061825665265174   accuracy 0.5839793281653747   precision 0.5033240930761999   recall 0.5158673219716636
deviation 4/5   iterations 1320/2000   F1 0.5248217587726416   accuracy 0.6330749354005168   precision 0.5214202794436115   recall 0.5419977030056291
deviation 4/5   iterations 1330/2000   F1 0.5021008984343943   accuracy 0.6149870801033591   precision 0.5024943109738431   recall 0.5173254272390674
deviation 4/5   iterations 1340/2000   F1 0.4846681924482155   accuracy 0.5956072351421189   precision 0.4927663734115347   recall 0.4982162180198381
deviation 4/5   iterations 1350/2000   F1 0.5090269160588684   accuracy 0.6162790697674418   precision 0.5077969593634556   recall 0.5275972584620402
deviation 4/5   iterations 1360/2000   F1 0.5125138125138125   accuracy 0.6472868217054264   precision 0.5097013960891624   recall 0.5188155467937794
deviation 4/5   iterations 1370/2000   F1 0.48364707197505563   accuracy 0.5607235142118863   precision 0.508963503564085   recall 0.5228224976243431
deviation 4/5   iterations 1380/2000   F1 0.5095971552980716   accuracy 0.6304909560723514   precision 0.5076659834537706   recall 0.5220471451986891
deviation 4/5   iterations 1390/2000   F1 0.5139513264513266   accuracy 0.6175710594315246   precision 0.5139532726363055   recall 0.5361398262735066
deviation 4/5   iterations 1400/2000   F1 0.509913233960928   accuracy 0.6124031007751938   precision 0.513319626637775   recall 0.5358259550853895
deviation 4/5   iterations 1410/2000   F1 0.5104199060499466   accuracy 0.6214470284237726   precision 0.5102465371348378   recall 0.5301656159339821
deviation 4/5   iterations 1420/2000   F1 0.5250467282243121   accuracy 0.6330749354005168   precision 0.5214332731855996   recall 0.5436590846504487
deviation 4/5   iterations 1430/2000   F1 0.5192281310411059   accuracy 0.661498708010336   precision 0.5196478518367532   recall 0.525302395644286
deviation 4/5   iterations 1440/2000   F1 0.5259614202557806   accuracy 0.6472868217054264   precision 0.5222864758097142   recall 0.5404992212042963
deviation 4/5   iterations 1450/2000   F1 0.45941520162756627   accuracy 0.5348837209302325   precision 0.4866327843774485   recall 0.4959251264113443
deviation 4/5   iterations 1460/2000   F1 0.5051720875660609   accuracy 0.603359173126615   precision 0.5180393030079026   recall 0.5281273593115543
deviation 4/5   iterations 1470/2000   F1 0.49490442875301155   accuracy 0.5930232558139535   precision 0.5068286212085215   recall 0.5181923134720958
deviation 4/5   iterations 1480/2000   F1 0.4848550551016088   accuracy 0.5749354005167958   precision 0.5011836284370749   recall 0.5120167123597859
deviation 4/5   iterations 1490/2000   F1 0.5057488575797251   accuracy 0.6434108527131783   precision 0.5026826077192709   recall 0.5122776226526374
deviation 4/5   iterations 1500/2000   F1 0.5130573589623134   accuracy 0.6408268733850129   precision 0.509991816362767   recall 0.5231322286805548
deviation 4/5   iterations 1510/2000   F1 0.5071946297669055   accuracy 0.6098191214470284   precision 0.5083512516625589   recall 0.5293879269982429
deviation 4/5   iterations 1520/2000   F1 0.49170998097715685   accuracy 0.5930232558139535   precision 0.4999436210279003   recall 0.5125293508707681
deviation 4/5   iterations 1530/2000   F1 0.5056717085460668   accuracy 0.6124031007751938   precision 0.5079098039624356   recall 0.5279763879669238
deviation 4/5   iterations 1540/2000   F1 0.5043822939754596   accuracy 0.6395348837209303   precision 0.5044351542177629   recall 0.5195059240368599
deviation 4/5   iterations 1550/2000   F1 0.5183170364157267   accuracy 0.627906976744186   precision 0.5189056011923882   recall 0.5398188048726319
deviation 4/5   iterations 1560/2000   F1 0.5021984120485717   accuracy 0.6188630490956072   precision 0.5095011332058942   recall 0.5267788240697268
deviation 4/5   iterations 1570/2000   F1 0.510637087599545   accuracy 0.6072351421188631   precision 0.5234855234618448   recall 0.5354620333917625
deviation 4/5   iterations 1580/2000   F1 0.521696433960707   accuracy 0.6304909560723514   precision 0.5201426024955437   recall 0.5389503199748084
deviation 4/5   iterations 1590/2000   F1 0.5245471657762458   accuracy 0.6369509043927648   precision 0.5205943138929867   recall 0.5412791646673109
deviation 4/5   iterations 1600/2000   F1 0.5010106771878382   accuracy 0.6136950904392765   precision 0.5001646447426616   recall 0.5190226763632655
deviation 4/5   iterations 1610/2000   F1 0.5060049841024319   accuracy 0.6162790697674418   precision 0.506012241451102   recall 0.5248675998114067
deviation 4/5   iterations 1620/2000   F1 0.5125438819374372   accuracy 0.6162790697674418   precision 0.521741693902893   recall 0.5359898797140014
deviation 4/5   iterations 1630/2000   F1 0.49080557054329516   accuracy 0.5891472868217055   precision 0.5017785119745904   recall 0.5106539940918268
deviation 4/5   iterations 1640/2000   F1 0.5045165924862133   accuracy 0.6382428940568475   precision 0.5019284013186452   recall 0.5096413834140084
deviation 4/5   iterations 1650/2000   F1 0.48871214550671854   accuracy 0.5839793281653747   precision 0.4957071578878148   recall 0.5137986497267226
deviation 4/5   iterations 1660/2000   F1 0.49501163830868117   accuracy 0.5968992248062015   precision 0.503450530024634   recall 0.5120144578325106
deviation 4/5   iterations 1670/2000   F1 0.48972152883512116   accuracy 0.582687338501292   precision 0.5024277186702205   recall 0.5207515708521269
deviation 4/5   iterations 1680/2000   F1 0.5002557608236288   accuracy 0.6072351421188631   precision 0.5007211920448851   recall 0.5200165949604019
deviation 4/5   iterations 1690/2000   F1 0.4998366578941425   accuracy 0.6317829457364341   precision 0.4969710872755873   recall 0.5086345115328909
deviation 4/5   iterations 1700/2000   F1 0.5018343790788005   accuracy 0.6304909560723514   precision 0.4987958670547951   recall 0.5114679194295898
deviation 4/5   iterations 1710/2000   F1 0.5020102711949977   accuracy 0.624031007751938   precision 0.5003152370226898   recall 0.5149878513772989
deviation 4/5   iterations 1720/2000   F1 0.5012688417065122   accuracy 0.6162790697674418   precision 0.5045815007070465   recall 0.5146956646424291
deviation 4/5   iterations 1730/2000   F1 0.5097408976484313   accuracy 0.6382428940568475   precision 0.5068394416189466   recall 0.5224750954669327
deviation 4/5   iterations 1740/2000   F1 0.5096516130378316   accuracy 0.6304909560723514   precision 0.5076361859239649   recall 0.5211825134929358
deviation 4/5   iterations 1750/2000   F1 0.49484177653148814   accuracy 0.6085271317829457   precision 0.4972616527527041   recall 0.5094693834786109
deviation 4/5   iterations 1760/2000   F1 0.4956726354453627   accuracy 0.5968992248062015   precision 0.501805782345596   recall 0.5179989980060961
deviation 4/5   iterations 1770/2000   F1 0.494285153875365   accuracy 0.6007751937984496   precision 0.497976388120273   recall 0.5131609464390725
deviation 4/5   iterations 1780/2000   F1 0.5053754516160532   accuracy 0.6330749354005168   precision 0.5046885146570997   recall 0.5129218025822782
deviation 4/5   iterations 1790/2000   F1 0.5049000440061894   accuracy 0.6291989664082688   precision 0.5020855993889702   recall 0.5176919723826148
deviation 4/5   iterations 1800/2000   F1 0.49546992169943   accuracy 0.5943152454780362   precision 0.5001631625296349   recall 0.5192747735040412
deviation 4/5   iterations 1810/2000   F1 0.48902665408794826   accuracy 0.5917312661498708   precision 0.49695278926839315   recall 0.5074453098823145
deviation 4/5   iterations 1820/2000   F1 0.5154136740975656   accuracy 0.6304909560723514   precision 0.5155195497838303   recall 0.5302361211505894
deviation 4/5   iterations 1830/2000   F1 0.5053795434989007   accuracy 0.6214470284237726   precision 0.5062200272960132   recall 0.5191969308259382
deviation 4/5   iterations 1840/2000   F1 0.532038844048146   accuracy 0.6666666666666666   precision 0.5288854395927869   recall 0.5378568742463218
deviation 4/5   iterations 1850/2000   F1 0.5322923085819663   accuracy 0.6537467700258398   precision 0.5271572327044025   recall 0.5440999882026736
deviation 4/5   iterations 1860/2000   F1 0.49568522282076777   accuracy 0.6149870801033591   precision 0.5028038599211174   recall 0.5061530968309627
deviation 4/5   iterations 1870/2000   F1 0.49665637873421614   accuracy 0.5968992248062015   precision 0.5039772727272728   recall 0.5165412616613373
deviation 4/5   iterations 1880/2000   F1 0.50256808151545   accuracy 0.6136950904392765   precision 0.5048010278928529   recall 0.5208198215414588
deviation 4/5   iterations 1890/2000   F1 0.5100007764577995   accuracy 0.6356589147286822   precision 0.5072424232129231   recall 0.5220894893200584
deviation 4/5   iterations 1900/2000   F1 0.5080205748188894   accuracy 0.6356589147286822   precision 0.507835898669232   recall 0.5227504757257507
deviation 4/5   iterations 1910/2000   F1 0.5194863304926812   accuracy 0.6511627906976745   precision 0.5158346394592099   recall 0.5269469708130539
deviation 4/5   iterations 1920/2000   F1 0.5237064276497764   accuracy 0.648578811369509   precision 0.5216727716727717   recall 0.5342072864845845
deviation 4/5   iterations 1930/2000   F1 0.524052321930009   accuracy 0.6731266149870802   precision 0.5372021582402785   recall 0.5339296516984912
deviation 4/5   iterations 1940/2000   F1 0.5169516663099877   accuracy 0.6317829457364341   precision 0.5219959337779952   recall 0.5380998712951865
deviation 4/5   iterations 1950/2000   F1 0.5081933881292641   accuracy 0.6291989664082688   precision 0.5062416172142616   recall 0.5246090260286403
deviation 4/5   iterations 1960/2000   F1 0.5172791178781319   accuracy 0.6472868217054264   precision 0.5207351596664574   recall 0.5349720221363424
deviation 4/5   iterations 1970/2000   F1 0.5102084255750198   accuracy 0.6524547803617571   precision 0.515428428835848   recall 0.5211802589656606
deviation 4/5   iterations 1980/2000   F1 0.5304607283554653   accuracy 0.6524547803617571   precision 0.5296236314732735   recall 0.5406773288590395
deviation 4/5   iterations 1990/2000   F1 0.5252480097329267   accuracy 0.6434108527131783   precision 0.5218400387063159   recall 0.5410819960092408
deviation 4/5   iterations 2000/2000   F1 0.5212524773318096   accuracy 0.6395348837209303   precision 0.5236916468191485   recall 0.5422578754531907

deviation 5/5   iterations 10/2000   F1 0.4734166624410527   accuracy 0.6317829457364341   precision 0.48034480019943654   recall 0.4795586111095398
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deviation 5/5   iterations 20/2000   F1 0.44596405637804265   accuracy 0.6162790697674418   precision 0.4633123965820946   recall 0.44131990192560405
deviation 5/5   iterations 30/2000   F1 0.49033328649742564   accuracy 0.6447028423772609   precision 0.49536006209645905   recall 0.4868280268729814
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deviation 5/5   iterations 40/2000   F1 0.5026051200250324   accuracy 0.6511627906976745   precision 0.523813153624494   recall 0.4976852563508189
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deviation 5/5   iterations 50/2000   F1 0.5158124414486035   accuracy 0.6188630490956072   precision 0.5446318134930017   recall 0.545564857051903
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deviation 5/5   iterations 60/2000   F1 0.5476926090053301   accuracy 0.6550387596899225   precision 0.5470979390742238   recall 0.5669518356729998
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deviation 5/5   iterations 70/2000   F1 0.5188595761425575   accuracy 0.6291989664082688   precision 0.5442469181411775   recall 0.5413263867658756
deviation 5/5   iterations 80/2000   F1 0.513582017488296   accuracy 0.6317829457364341   precision 0.5614236402594114   recall 0.5519017593429045
deviation 5/5   iterations 90/2000   F1 0.5444643757514641   accuracy 0.6692506459948321   precision 0.5430564798059399   recall 0.5518228918796765
deviation 5/5   iterations 100/2000   F1 0.5338761227121877   accuracy 0.6524547803617571   precision 0.5335824924746532   recall 0.5463402914603671
deviation 5/5   iterations 110/2000   F1 0.5568735241773197   accuracy 0.6472868217054264   precision 0.5713678027042083   recall 0.5974648127729872
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deviation 5/5   iterations 120/2000   F1 0.5471132567545124   accuracy 0.6395348837209303   precision 0.5761102589177846   recall 0.5944429673874841
deviation 5/5   iterations 130/2000   F1 0.5690790708125791   accuracy 0.6757105943152455   precision 0.562339169194008   recall 0.5902804541749296
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deviation 5/5   iterations 140/2000   F1 0.5829495482679445   accuracy 0.689922480620155   precision 0.5750206465914355   recall 0.600293711615136
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deviation 5/5   iterations 150/2000   F1 0.5457454265313544   accuracy 0.6627906976744186   precision 0.5648668235311652   recall 0.5725854074369394
deviation 5/5   iterations 160/2000   F1 0.5647781423452692   accuracy 0.6808785529715762   precision 0.5685125859450499   recall 0.5820158900722014
deviation 5/5   iterations 170/2000   F1 0.553408505094246   accuracy 0.6524547803617571   precision 0.5559504822662716   recall 0.5841982724746241
deviation 5/5   iterations 180/2000   F1 0.569278022515908   accuracy 0.6705426356589147   precision 0.5713172599568112   recall 0.601088862889407
deviation 5/5   iterations 190/2000   F1 0.5579027778330649   accuracy 0.6692506459948321   precision 0.6058258117385082   recall 0.5946828490895686
deviation 5/5   iterations 200/2000   F1 0.5443568806110105   accuracy 0.6317829457364341   precision 0.554844515423745   recall 0.5836894871557122
deviation 5/5   iterations 210/2000   F1 0.5453521023880317   accuracy 0.6447028423772609   precision 0.5461631600108029   recall 0.5751740556543585
deviation 5/5   iterations 220/2000   F1 0.5439800861797489   accuracy 0.627906976744186   precision 0.5481815926551455   recall 0.584865366599662
deviation 5/5   iterations 230/2000   F1 0.5592213119021269   accuracy 0.6718346253229974   precision 0.5976033874123047   recall 0.5916099284134301
deviation 5/5   iterations 240/2000   F1 0.5490036025328782   accuracy 0.6459948320413437   precision 0.5743034118887601   recall 0.5943815622627878
deviation 5/5   iterations 250/2000   F1 0.5484962896866001   accuracy 0.6330749354005168   precision 0.5574230825968162   recall 0.5914353050281123
deviation 5/5   iterations 260/2000   F1 0.5805334993235612   accuracy 0.6976744186046512   precision 0.5736359204968365   recall 0.5922789901259083
deviation 5/5   iterations 270/2000   F1 0.5749967213608179   accuracy 0.6989664082687338   precision 0.5701645837521608   recall 0.5815960151107437
deviation 5/5   iterations 280/2000   F1 0.5629971094743543   accuracy 0.661498708010336   precision 0.5608936941229762   recall 0.593304554087708
deviation 5/5   iterations 290/2000   F1 0.553422804044573   accuracy 0.6447028423772609   precision 0.5591322205797867   recall 0.5924166392639124
deviation 5/5   iterations 300/2000   F1 0.5802483179380195   accuracy 0.7067183462532299   precision 0.5778931342284169   recall 0.5847536240296206
deviation 5/5   iterations 310/2000   F1 0.5636725894165667   accuracy 0.6873385012919897   precision 0.558627337574706   recall 0.5710358503449714
deviation 5/5   iterations 320/2000   F1 0.5713818790116614   accuracy 0.6950904392764858   precision 0.5659523871737858   recall 0.5828397763213805
deviation 5/5   iterations 330/2000   F1 0.5757354119212309   accuracy 0.6821705426356589   precision 0.5740261239245995   recall 0.5992726567078869
deviation 5/5   iterations 340/2000   F1 0.5753468753468753   accuracy 0.6912144702842378   precision 0.5696516183611171   recall 0.5898822636667189
deviation 5/5   iterations 350/2000   F1 0.5789228854370627   accuracy 0.689922480620155   precision 0.5715816378284231   recall 0.5959026713196831
deviation 5/5   iterations 360/2000   F1 0.5859412753865495   accuracy 0.6912144702842378   precision 0.5770045188339125   recall 0.6063781478427166
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deviation 5/5   iterations 370/2000   F1 0.5602890371536781   accuracy 0.6886304909560723   precision 0.5599794646513944   recall 0.5648796791586334
deviation 5/5   iterations 380/2000   F1 0.5550315894043746   accuracy 0.6757105943152455   precision 0.5513632645343937   recall 0.5714443706872431
deviation 5/5   iterations 390/2000   F1 0.5589637736375827   accuracy 0.6666666666666666   precision 0.5537513512061824   recall 0.5809705272617848
deviation 5/5   iterations 400/2000   F1 0.5459063110279665   accuracy 0.661498708010336   precision 0.5414515803800978   recall 0.5624315084861636
deviation 5/5   iterations 410/2000   F1 0.5409560875469116   accuracy 0.6356589147286822   precision 0.5464261200140313   recall 0.5733921182874218
deviation 5/5   iterations 420/2000   F1 0.5628604235562179   accuracy 0.6770025839793282   precision 0.5578752895826066   recall 0.5795974791597648
deviation 5/5   iterations 430/2000   F1 0.5671320045973145   accuracy 0.6834625322997416   precision 0.5606513372477706   recall 0.5804007057408217
deviation 5/5   iterations 440/2000   F1 0.5718597270938178   accuracy 0.6782945736434108   precision 0.5648350145749038   recall 0.5941924689115036
deviation 5/5   iterations 450/2000   F1 0.5560181291468087   accuracy 0.6511627906976745   precision 0.558715073802773   recall 0.5886930620161426
deviation 5/5   iterations 460/2000   F1 0.5536998228296635   accuracy 0.6511627906976745   precision 0.5579825135839908   recall 0.5861670486655699
deviation 5/5   iterations 470/2000   F1 0.5274332171893148   accuracy 0.6059431524547804   precision 0.5673494769356295   recall 0.5763570676027792
deviation 5/5   iterations 480/2000   F1 0.5496221937515504   accuracy 0.6356589147286822   precision 0.5625504923720137   recall 0.5910920430026073
deviation 5/5   iterations 490/2000   F1 0.563623366013072   accuracy 0.6576227390180879   precision 0.5687313406195337   recall 0.6011437913721127
deviation 5/5   iterations 500/2000   F1 0.5628298610475923   accuracy 0.6679586563307494   precision 0.5626384643248173   recall 0.5889878722009326
deviation 5/5   iterations 510/2000   F1 0.5389096148825664   accuracy 0.6201550387596899   precision 0.5505758384031342   recall 0.5800463760359655
deviation 5/5   iterations 520/2000   F1 0.5470259938837921   accuracy 0.6408268733850129   precision 0.5452099228985294   recall 0.5784864891099364
deviation 5/5   iterations 530/2000   F1 0.5456891978340175   accuracy 0.6356589147286822   precision 0.5532023070021509   recall 0.5813095671725743
deviation 5/5   iterations 540/2000   F1 0.5744094798834586   accuracy 0.6834625322997416   precision 0.56856364452208   recall 0.5945063400996206
deviation 5/5   iterations 550/2000   F1 0.5602864464619907   accuracy 0.6640826873385013   precision 0.5623449433733005   recall 0.5869767518886174
deviation 5/5   iterations 560/2000   F1 0.5154112469877804   accuracy 0.5891472868217055   precision 0.5439378816825055   recall 0.5600915961143099
deviation 5/5   iterations 570/2000   F1 0.5266158071699499   accuracy 0.6046511627906976   precision 0.544268700631999   recall 0.5700011043084507
deviation 5/5   iterations 580/2000   F1 0.5477663112388084   accuracy 0.6434108527131783   precision 0.5505401234567902   recall 0.576481845439612
deviation 5/5   iterations 590/2000   F1 0.5452838884746044   accuracy 0.6434108527131783   precision 0.5617512458883633   recall 0.5778216495121736
deviation 5/5   iterations 600/2000   F1 0.568355104411113   accuracy 0.6834625322997416   precision 0.5617346010963032   recall 0.5827909555580205
deviation 5/5   iterations 610/2000   F1 0.5731591347045608   accuracy 0.6963824289405685   precision 0.5711891459099062   recall 0.5825323817752541
deviation 5/5   iterations 620/2000   F1 0.5718809718809719   accuracy 0.689922480620155   precision 0.5653676212650218   recall 0.582865313966698
deviation 5/5   iterations 630/2000   F1 0.5557075488316147   accuracy 0.6640826873385013   precision 0.5527959003509678   recall 0.5770585125252108
deviation 5/5   iterations 640/2000   F1 0.5401742232728148   accuracy 0.6291989664082688   precision 0.5487288825284922   recall 0.5761153002960645
deviation 5/5   iterations 650/2000   F1 0.5438734542893093   accuracy 0.6395348837209303   precision 0.5527901129263334   recall 0.5764715156055509
deviation 5/5   iterations 660/2000   F1 0.5692609898102493   accuracy 0.6692506459948321   precision 0.5650351828984601   recall 0.5956654130675189
deviation 5/5   iterations 670/2000   F1 0.5547599630646025   accuracy 0.6563307493540051   precision 0.5526050488869813   recall 0.5790886938408528
deviation 5/5   iterations 680/2000   F1 0.5272550239283054   accuracy 0.6098191214470284   precision 0.5467135189549494   recall 0.565856053434428
deviation 5/5   iterations 690/2000   F1 0.5695235865881934   accuracy 0.6705426356589147   precision 0.5628512499768029   recall 0.5945612685823262
deviation 5/5   iterations 700/2000   F1 0.5442497881522271   accuracy 0.6511627906976745   precision 0.5419362525921851   recall 0.5640760836549313
deviation 5/5   iterations 710/2000   F1 0.5318198961306448   accuracy 0.6395348837209303   precision 0.5373559349693001   recall 0.5527191689500929
deviation 5/5   iterations 720/2000   F1 0.5407349338485262   accuracy 0.6472868217054264   precision 0.539104033577798   recall 0.5634548179206881
deviation 5/5   iterations 730/2000   F1 0.5166299549417372   accuracy 0.599483204134367   precision 0.5470356980028973   recall 0.5533949942443969
deviation 5/5   iterations 740/2000   F1 0.5372750937106288   accuracy 0.6498708010335917   precision 0.5379388416658708   recall 0.5545331206043379
deviation 5/5   iterations 750/2000   F1 0.5376431615467324   accuracy 0.6356589147286822   precision 0.5426692402740306   recall 0.5645421559298289
deviation 5/5   iterations 760/2000   F1 0.5169155215580307   accuracy 0.6098191214470284   precision 0.5287344129363788   recall 0.5444260748294819
deviation 5/5   iterations 770/2000   F1 0.563215542324151   accuracy 0.6744186046511628   precision 0.5595385495274858   recall 0.581737886363463
deviation 5/5   iterations 780/2000   F1 0.502146774000301   accuracy 0.5645994832041343   precision 0.5515161373642732   recall 0.5603692309004032
deviation 5/5   iterations 790/2000   F1 0.552117750134166   accuracy 0.6666666666666666   precision 0.5466093799427133   recall 0.5694587880202455
deviation 5/5   iterations 800/2000   F1 0.5375086881657888   accuracy 0.6214470284237726   precision 0.5560674130594975   recall 0.5782812451450804
deviation 5/5   iterations 810/2000   F1 0.561350821898326   accuracy 0.6847545219638242   precision 0.5563780297449928   recall 0.5754307438324947
deviation 5/5   iterations 820/2000   F1 0.5358946101531549   accuracy 0.6175710594315246   precision 0.5692938413997435   recall 0.5816615603673453
deviation 5/5   iterations 830/2000   F1 0.5602144795819093   accuracy 0.6808785529715762   precision 0.5544956597683527   recall 0.5743521369926197
deviation 5/5   iterations 840/2000   F1 0.558157014991069   accuracy 0.6640826873385013   precision 0.553261242315711   recall 0.5820426574596692
deviation 5/5   iterations 850/2000   F1 0.5421435657596373   accuracy 0.6459948320413437   precision 0.5554014512319533   recall 0.5658987664784423
deviation 5/5   iterations 860/2000   F1 0.555829526692766   accuracy 0.661498708010336   precision 0.5505277331364288   recall 0.5780627609564082
deviation 5/5   iterations 870/2000   F1 0.5566845486710529   accuracy 0.6550387596899225   precision 0.5631625990183989   recall 0.5865846690997526
deviation 5/5   iterations 880/2000   F1 0.5380600516068496   accuracy 0.6421188630490956   precision 0.5397061910484237   recall 0.5609543422154329
deviation 5/5   iterations 890/2000   F1 0.5332963878325955   accuracy 0.6149870801033591   precision 0.5475357450844643   recall 0.5765455050915834
deviation 5/5   iterations 900/2000   F1 0.5593972822535687   accuracy 0.6757105943152455   precision 0.5535334584115071   recall 0.5760390562827568
deviation 5/5   iterations 910/2000   F1 0.5437780836182933   accuracy 0.6589147286821705   precision 0.5475725889259724   recall 0.5586552572829634
deviation 5/5   iterations 920/2000   F1 0.5484856284856284   accuracy 0.6666666666666666   precision 0.5484733170010703   recall 0.5618807479685274
deviation 5/5   iterations 930/2000   F1 0.5539297230814709   accuracy 0.6602067183462532   precision 0.5490612338837553   recall 0.5773018784967205
deviation 5/5   iterations 940/2000   F1 0.544631424578097   accuracy 0.6640826873385013   precision 0.5416839414040907   recall 0.5608163241547839
deviation 5/5   iterations 950/2000   F1 0.5404689267932888   accuracy 0.6550387596899225   precision 0.5421256731308116   recall 0.5547791100257681
deviation 5/5   iterations 960/2000   F1 0.5424154188638999   accuracy 0.6421188630490956   precision 0.5485585100969717   recall 0.5690075546339595
deviation 5/5   iterations 970/2000   F1 0.5371390888487574   accuracy 0.6395348837209303   precision 0.5344381509606208   recall 0.5618907088799435
deviation 5/5   iterations 980/2000   F1 0.5411446023943324   accuracy 0.6550387596899225   precision 0.5379323899371069   recall 0.5563726099039006
deviation 5/5   iterations 990/2000   F1 0.5553907899517775   accuracy 0.6627906976744186   precision 0.5504340519568499   recall 0.5762976300655231
deviation 5/5   iterations 1000/2000   F1 0.5418923594579791   accuracy 0.6434108527131783   precision 0.5375292889912773   recall 0.5650379879647596
deviation 5/5   iterations 1010/2000   F1 0.5588102861546159   accuracy 0.6808785529715762   precision 0.553750815394651   recall 0.568503360352408
deviation 5/5   iterations 1020/2000   F1 0.5315688038583576   accuracy 0.6227390180878553   precision 0.5417356642356642   recall 0.564003979773529
deviation 5/5   iterations 1030/2000   F1 0.5497471754897189   accuracy 0.6679586563307494   precision 0.5459106111280024   recall 0.5681509982349922
deviation 5/5   iterations 1040/2000   F1 0.5358962868395541   accuracy 0.6757105943152455   precision 0.5330712309763314   recall 0.540113983980067
deviation 5/5   iterations 1050/2000   F1 0.5031156854777638   accuracy 0.6266149870801033   precision 0.5117876966532007   recall 0.5105250761230886
deviation 5/5   iterations 1060/2000   F1 0.5373556322182779   accuracy 0.6356589147286822   precision 0.5375067041069985   recall 0.5644063923964551
deviation 5/5   iterations 1070/2000   F1 0.5397526068976329   accuracy 0.6718346253229974   precision 0.5356125356125356   recall 0.5459524307862176
deviation 5/5   iterations 1080/2000   F1 0.540711743271571   accuracy 0.6705426356589147   precision 0.5360112766010529   recall 0.5504472203277361
deviation 5/5   iterations 1090/2000   F1 0.5124560939709618   accuracy 0.6111111111111112   precision 0.5234139228259272   recall 0.5347434950534442
deviation 5/5   iterations 1100/2000   F1 0.546478988669658   accuracy 0.6950904392764858   precision 0.5553108035667097   recall 0.5459821905462506
deviation 5/5   iterations 1110/2000   F1 0.5609708578156724   accuracy 0.6550387596899225   precision 0.5568043074147812   recall 0.5925013275066511
deviation 5/5   iterations 1120/2000   F1 0.5491890293950773   accuracy 0.6847545219638242   precision 0.5476553062430924   recall 0.5562052010058635
deviation 5/5   iterations 1130/2000   F1 0.5470486779116012   accuracy 0.6782945736434108   precision 0.5431325885715784   recall 0.5530117246076077
deviation 5/5   iterations 1140/2000   F1 0.5362595547411481   accuracy 0.665374677002584   precision 0.5362476066253626   recall 0.549200835667179
deviation 5/5   iterations 1150/2000   F1 0.5514012107434015   accuracy 0.6679586563307494   precision 0.5454706897315867   recall 0.5641672485396607
deviation 5/5   iterations 1160/2000   F1 0.5389279570332973   accuracy 0.6498708010335917   precision 0.53473169354061   recall 0.5570591339549106
deviation 5/5   iterations 1170/2000   F1 0.5371430688224993   accuracy 0.6459948320413437   precision 0.53650297877263   recall 0.5559126453483486
deviation 5/5   iterations 1180/2000   F1 0.5412048101554622   accuracy 0.6640826873385013   precision 0.5373756017654586   recall 0.5564931656260178
deviation 5/5   iterations 1190/2000   F1 0.5242637381134262   accuracy 0.6343669250645995   precision 0.5347001554544936   recall 0.540300453881431
deviation 5/5   iterations 1200/2000   F1 0.5440031449520513   accuracy 0.6705426356589147   precision 0.539194799440701   recall 0.5547703788565022
deviation 5/5   iterations 1210/2000   F1 0.5239923599611159   accuracy 0.6434108527131783   precision 0.5234792620933343   recall 0.5360978510747824
deviation 5/5   iterations 1220/2000   F1 0.5270582985864279   accuracy 0.6162790697674418   precision 0.5585182719169647   recall 0.5678633205546727
deviation 5/5   iterations 1230/2000   F1 0.5428077181767422   accuracy 0.6795865633074936   precision 0.5411679303246553   recall 0.546651908121209
deviation 5/5   iterations 1240/2000   F1 0.5473043062361039   accuracy 0.6705426356589147   precision 0.5436091015098746   recall 0.5590935373852681
deviation 5/5   iterations 1250/2000   F1 0.5401201028886292   accuracy 0.6550387596899225   precision 0.5366175771308042   recall 0.5545754647257072
deviation 5/5   iterations 1260/2000   F1 0.5343815042178058   accuracy 0.6821705426356589   precision 0.5356381244437395   recall 0.536458288498984
deviation 5/5   iterations 1270/2000   F1 0.5443347651805893   accuracy 0.6472868217054264   precision 0.5423493653022872   recall 0.5673885171105093
deviation 5/5   iterations 1280/2000   F1 0.5370638527019796   accuracy 0.6537467700258398   precision 0.5319638658621081   recall 0.5502881736763199
deviation 5/5   iterations 1290/2000   F1 0.5334084576615238   accuracy 0.6550387596899225   precision 0.5301582785249711   recall 0.5464543705404937
deviation 5/5   iterations 1300/2000   F1 0.5539313884303265   accuracy 0.6666666666666666   precision 0.5551298336219995   recall 0.5717311055652473
deviation 5/5   iterations 1310/2000   F1 0.5493412533949126   accuracy 0.6770025839793282   precision 0.5476001848550869   recall 0.5559130142709937
deviation 5/5   iterations 1320/2000   F1 0.5526783613739021   accuracy 0.6640826873385013   precision 0.5502803965411842   recall 0.5701414588791852
deviation 5/5   iterations 1330/2000   F1 0.5422468200855218   accuracy 0.6627906976744186   precision 0.541350811485643   recall 0.5536135604158791
deviation 5/5   iterations 1340/2000   F1 0.5414077742663556   accuracy 0.6576227390180879   precision 0.5358372486083329   recall 0.5558257025783347
deviation 5/5   iterations 1350/2000   F1 0.523389363080201   accuracy 0.6718346253229974   precision 0.526387897671558   recall 0.5333045327721774
deviation 5/5   iterations 1360/2000   F1 0.5484138608359114   accuracy 0.6744186046511628   precision 0.5461831336831336   recall 0.5562562762964988
deviation 5/5   iterations 1370/2000   F1 0.536197504069452   accuracy 0.6201550387596899   precision 0.5551152191551622   recall 0.5749943493348201
deviation 5/5   iterations 1380/2000   F1 0.5255392335074651   accuracy 0.6201550387596899   precision 0.5269909151470658   recall 0.555818857013699
deviation 5/5   iterations 1390/2000   F1 0.5455992408593565   accuracy 0.6731266149870802   precision 0.5406420665165707   recall 0.5536303668919308
deviation 5/5   iterations 1400/2000   F1 0.537498648333392   accuracy 0.6770025839793282   precision 0.5347128715384062   recall 0.5424683663178872
deviation 5/5   iterations 1410/2000   F1 0.5198958299793092   accuracy 0.6136950904392765   precision 0.5277975888886207   recall 0.5466408404418579
deviation 5/5   iterations 1420/2000   F1 0.5255419932817741   accuracy 0.6395348837209303   precision 0.5218961690429352   recall 0.5425294025199384
deviation 5/5   iterations 1430/2000   F1 0.5208599561088345   accuracy 0.6627906976744186   precision 0.5176127937641799   recall 0.5261311598706606
deviation 5/5   iterations 1440/2000   F1 0.5236193890854909   accuracy 0.627906976744186   precision 0.5282057789080267   recall 0.5428878723567
deviation 5/5   iterations 1450/2000   F1 0.5435378097699737   accuracy 0.6705426356589147   precision 0.5385636830489772   recall 0.5523122472726164
deviation 5/5   iterations 1460/2000   F1 0.5312754575614712   accuracy 0.6602067183462532   precision 0.5268462059620597   recall 0.5405800562549645
deviation 5/5   iterations 1470/2000   F1 0.5289786975728545   accuracy 0.6111111111111112   precision 0.5511859848855156   recall 0.5648197907159224
deviation 5/5   iterations 1480/2000   F1 0.5231928124227995   accuracy 0.6149870801033591   precision 0.5467241300299825   recall 0.5529289219694993
deviation 5/5   iterations 1490/2000   F1 0.5122007001290267   accuracy 0.6046511627906976   precision 0.5282437646850044   recall 0.5366020453563337
deviation 5/5   iterations 1500/2000   F1 0.5283044278964134   accuracy 0.648578811369509   precision 0.5237805924552913   recall 0.5413279854306708
deviation 5/5   iterations 1510/2000   F1 0.5180131597395031   accuracy 0.6356589147286822   precision 0.5135999862730084   recall 0.5309394516776511
deviation 5/5   iterations 1520/2000   F1 0.533195176891149   accuracy 0.6795865633074936   precision 0.5353005780775767   recall 0.532614155529097
deviation 5/5   iterations 1530/2000   F1 0.5337907286546604   accuracy 0.6640826873385013   precision 0.5325424672793093   recall 0.541065558455834
deviation 5/5   iterations 1540/2000   F1 0.5025217224446525   accuracy 0.5943152454780362   precision 0.5204937626682674   recall 0.5276673947560023
deviation 5/5   iterations 1550/2000   F1 0.5565030067249471   accuracy 0.6602067183462532   precision 0.5569329979560532   recall 0.5805067095141625
deviation 5/5   iterations 1560/2000   F1 0.5223139122466899   accuracy 0.6576227390180879   precision 0.532617832421754   recall 0.5310050789170628
deviation 5/5   iterations 1570/2000   F1 0.5392969011091382   accuracy 0.6576227390180879   precision 0.5370364233408385   recall 0.5496375171046884
deviation 5/5   iterations 1580/2000   F1 0.5394719879451477   accuracy 0.6408268733850129   precision 0.5525736884411157   recall 0.5685860810077065
deviation 5/5   iterations 1590/2000   F1 0.5190771465281269   accuracy 0.6227390180878553   precision 0.5494672194995393   recall 0.5422524235963252
deviation 5/5   iterations 1600/2000   F1 0.5580612411381166   accuracy 0.6640826873385013   precision 0.5689735435849692   recall 0.5827214751265384
deviation 5/5   iterations 1610/2000   F1 0.5446993953536493   accuracy 0.6666666666666666   precision 0.5418746140714105   recall 0.5564893124339475
deviation 5/5   iterations 1620/2000   F1 0.52335408596457   accuracy 0.6472868217054264   precision 0.5216417773312018   recall 0.5369728126145966
deviation 5/5   iterations 1630/2000   F1 0.5308743307831315   accuracy 0.6640826873385013   precision 0.5383660573234033   recall 0.5405903860890257
deviation 5/5   iterations 1640/2000   F1 0.5197727370762699   accuracy 0.6459948320413437   precision 0.521791479052365   recall 0.5352794166824689
deviation 5/5   iterations 1650/2000   F1 0.5421664460509792   accuracy 0.6795865633074936   precision 0.5452236831907632   recall 0.5489742761717209
deviation 5/5   iterations 1660/2000   F1 0.5485908885768658   accuracy 0.6550387596899225   precision 0.5555413803507195   recall 0.5708855348628211
deviation 5/5   iterations 1670/2000   F1 0.5532106982175381   accuracy 0.6498708010335917   precision 0.554744173075847   recall 0.5820155211495565
deviation 5/5   iterations 1680/2000   F1 0.5472582039937025   accuracy 0.6472868217054264   precision 0.5458836583836584   recall 0.5717116756392753
deviation 5/5   iterations 1690/2000   F1 0.5236787790226086   accuracy 0.6576227390180879   precision 0.5252754961307818   recall 0.5311408424504367
deviation 5/5   iterations 1700/2000   F1 0.5463375163025611   accuracy 0.6821705426356589   precision 0.5483883561536874   recall 0.549563527618656
deviation 5/5   iterations 1710/2000   F1 0.5439729264450274   accuracy 0.6718346253229974   precision 0.5403278669538832   recall 0.5528694844322432
deviation 5/5   iterations 1720/2000   F1 0.5249508731731635   accuracy 0.648578811369509   precision 0.5202536231884057   recall 0.5343430500179583
deviation 5/5   iterations 1730/2000   F1 0.5346500666798173   accuracy 0.6459948320413437   precision 0.5300433071264506   recall 0.5505890915804555
deviation 5/5   iterations 1740/2000   F1 0.5356511790005162   accuracy 0.6511627906976745   precision 0.5322736511326456   recall 0.5513603038742043
deviation 5/5   iterations 1750/2000   F1 0.5393353845088004   accuracy 0.6770025839793282   precision 0.5372694810798411   recall 0.5417394981455078
deviation 5/5   iterations 1760/2000   F1 0.5347594951665945   accuracy 0.6537467700258398   precision 0.5321244929896841   recall 0.5461007786809278
deviation 5/5   iterations 1770/2000   F1 0.55285007274634   accuracy 0.6744186046511628   precision 0.5548480989630707   recall 0.5590538167138192
deviation 5/5   iterations 1780/2000   F1 0.541905679216723   accuracy 0.6576227390180879   precision 0.5408243727598566   recall 0.5535033345278229
deviation 5/5   iterations 1790/2000   F1 0.533966171690147   accuracy 0.6537467700258398   precision 0.5290927565717789   recall 0.545897133380867
deviation 5/5   iterations 1800/2000   F1 0.5405722517619743   accuracy 0.661498708010336   precision 0.5351073517524787   recall 0.5509876510113112
deviation 5/5   iterations 1810/2000   F1 0.5451147564421878   accuracy 0.6770025839793282   precision 0.5433883677205534   recall 0.5488601970915942
deviation 5/5   iterations 1820/2000   F1 0.5332168029826373   accuracy 0.6563307493540051   precision 0.5307126685218558   recall 0.5470794894668076
deviation 5/5   iterations 1830/2000   F1 0.5397821763443041   accuracy 0.6705426356589147   precision 0.540020730375553   recall 0.5468529299713495
deviation 5/5   iterations 1840/2000   F1 0.5499563631624403   accuracy 0.6937984496124031   precision 0.552422754784473   recall 0.550612743621143
deviation 5/5   iterations 1850/2000   F1 0.5385211874646094   accuracy 0.6498708010335917   precision 0.534396140079889   recall 0.5525323301260838
deviation 5/5   iterations 1860/2000   F1 0.5330091533180777   accuracy 0.6550387596899225   precision 0.5292413636993398   recall 0.5421312120117278
deviation 5/5   iterations 1870/2000   F1 0.5322314908777228   accuracy 0.648578811369509   precision 0.536016305191738   recall 0.5461941980929322
deviation 5/5   iterations 1880/2000   F1 0.51490578453871   accuracy 0.6059431524547804   precision 0.537815196499407   recall 0.546416535473675
deviation 5/5   iterations 1890/2000   F1 0.5260637718560729   accuracy 0.6343669250645995   precision 0.5354473655708492   recall 0.5465565211217642
deviation 5/5   iterations 1900/2000   F1 0.5361184936937101   accuracy 0.6718346253229974   precision 0.5418575423899967   recall 0.5375097590287464
deviation 5/5   iterations 1910/2000   F1 0.5300080979938838   accuracy 0.6589147286821705   precision 0.5292918064936053   recall 0.5405480419676563
deviation 5/5   iterations 1920/2000   F1 0.5433398541805622   accuracy 0.6640826873385013   precision 0.5377876378087089   recall 0.5557642974536385
deviation 5/5   iterations 1930/2000   F1 0.5429626230773105   accuracy 0.6679586563307494   precision 0.5402146067344306   recall 0.5510620094199888
deviation 5/5   iterations 1940/2000   F1 0.5361921382863791   accuracy 0.6589147286821705   precision 0.5400462361466852   recall 0.5456178999299784
deviation 5/5   iterations 1950/2000   F1 0.5474159618232389   accuracy 0.665374677002584   precision 0.543600138061761   recall 0.5575934569191401
deviation 5/5   iterations 1960/2000   F1 0.5402918545651509   accuracy 0.661498708010336   precision 0.5351704109444048   recall 0.550190901072245
deviation 5/5   iterations 1970/2000   F1 0.5341222929570187   accuracy 0.6395348837209303   precision 0.5333326128981906   recall 0.5535159188891591
deviation 5/5   iterations 1980/2000   F1 0.5261377651662674   accuracy 0.6317829457364341   precision 0.5404835793390009   recall 0.5433733745575695
deviation 5/5   iterations 1990/2000   F1 0.551291530090976   accuracy 0.6873385012919897   precision 0.5537782680639823   recall 0.5490806488677067
deviation 5/5   iterations 2000/2000   F1 0.5265430937220019   accuracy 0.6330749354005168   precision 0.5332278644032872   recall 0.5424550441112609

0.1171882550773099
