deviation 1/5   iterations 10/2000   F1 0.4390921837469152   accuracy 0.5966494845360825   precision 0.44643420015760443   recall 0.46914049537648345
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deviation 1/5   iterations 20/2000   F1 0.4930294927956482   accuracy 0.6533505154639175   precision 0.4929832789958051   recall 0.49506415024891787
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deviation 1/5   iterations 30/2000   F1 0.4700986648340059   accuracy 0.6121134020618557   precision 0.48653183156898994   recall 0.4756698103566282
deviation 1/5   iterations 40/2000   F1 0.4666357981436751   accuracy 0.5966494845360825   precision 0.4904018108218129   recall 0.47623694489198226
deviation 1/5   iterations 50/2000   F1 0.5138806281425125   accuracy 0.6662371134020618   precision 0.5149285977349637   recall 0.5144660633355197
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deviation 1/5   iterations 60/2000   F1 0.509250420752853   accuracy 0.6481958762886598   precision 0.5141301160665394   recall 0.5127912473417476
deviation 1/5   iterations 70/2000   F1 0.4892135387224421   accuracy 0.6327319587628866   precision 0.5178884513172115   recall 0.49826972868013475
deviation 1/5   iterations 80/2000   F1 0.4990444930659108   accuracy 0.6559278350515464   precision 0.5138837088975717   recall 0.4980464823123161
deviation 1/5   iterations 90/2000   F1 0.48737450792748077   accuracy 0.625   precision 0.5106536502546689   recall 0.49031486166094806
deviation 1/5   iterations 100/2000   F1 0.5254574265609121   accuracy 0.6610824742268041   precision 0.5347985347985348   recall 0.5303829634072209
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deviation 1/5   iterations 110/2000   F1 0.5155091685030712   accuracy 0.6481958762886598   precision 0.5265131465753586   recall 0.5198469400426949
deviation 1/5   iterations 120/2000   F1 0.48192636737249517   accuracy 0.5682989690721649   precision 0.519371476158267   recall 0.5028014304379709
deviation 1/5   iterations 130/2000   F1 0.5179952057760805   accuracy 0.6481958762886598   precision 0.5232375035932972   recall 0.5249073403389453
deviation 1/5   iterations 140/2000   F1 0.48501303522783235   accuracy 0.5708762886597938   precision 0.5187078782438324   recall 0.5048582855835289
deviation 1/5   iterations 150/2000   F1 0.5206947747653524   accuracy 0.6520618556701031   precision 0.5205880962989968   recall 0.5294659554378589
deviation 1/5   iterations 160/2000   F1 0.5306835579369017   accuracy 0.6559278350515464   precision 0.5303930900996588   recall 0.5446081095881933
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deviation 1/5   iterations 170/2000   F1 0.5096045905059988   accuracy 0.6146907216494846   precision 0.5216809194412778   recall 0.5289526068685615
deviation 1/5   iterations 180/2000   F1 0.49842287650042777   accuracy 0.604381443298969   precision 0.5207244961790761   recall 0.5085424410359641
deviation 1/5   iterations 190/2000   F1 0.5020363808594338   accuracy 0.634020618556701   precision 0.5176393583880161   recall 0.5044177781143642
deviation 1/5   iterations 200/2000   F1 0.5123511793856204   accuracy 0.6391752577319587   precision 0.5331677366561087   recall 0.5196703136076052
deviation 1/5   iterations 210/2000   F1 0.48724033427335534   accuracy 0.5902061855670103   precision 0.5225899669884164   recall 0.4996803379110443
deviation 1/5   iterations 220/2000   F1 0.5124691188818681   accuracy 0.6585051546391752   precision 0.5099561927518916   recall 0.519578661669987
deviation 1/5   iterations 230/2000   F1 0.515260829364739   accuracy 0.6623711340206185   precision 0.5206875245544483   recall 0.5158266731975288
deviation 1/5   iterations 240/2000   F1 0.4880547571744667   accuracy 0.5837628865979382   precision 0.524463567146494   recall 0.5049958652802021
deviation 1/5   iterations 250/2000   F1 0.4988434000678656   accuracy 0.6146907216494846   precision 0.5148857264762938   recall 0.5098733688622009
deviation 1/5   iterations 260/2000   F1 0.5053288788289854   accuracy 0.6211340206185567   precision 0.5240251516694735   recall 0.5169515775655925
deviation 1/5   iterations 270/2000   F1 0.5169405286711449   accuracy 0.6481958762886598   precision 0.5200529010299193   recall 0.5248147926471612
deviation 1/5   iterations 280/2000   F1 0.5040408078654348   accuracy 0.6404639175257731   precision 0.5189203137027358   recall 0.5090120605155227
deviation 1/5   iterations 290/2000   F1 0.493827279133833   accuracy 0.6095360824742269   precision 0.5056225150100147   recall 0.5025353507345794
deviation 1/5   iterations 300/2000   F1 0.479063824302793   accuracy 0.5695876288659794   precision 0.5025756444245298   recall 0.5014051532737168
deviation 1/5   iterations 310/2000   F1 0.48707323865218605   accuracy 0.5837628865979382   precision 0.5051589696845419   recall 0.5072021485070831
deviation 1/5   iterations 320/2000   F1 0.5038816202720862   accuracy 0.634020618556701   precision 0.5122866705607264   recall 0.5086193537459421
deviation 1/5   iterations 330/2000   F1 0.48928571428571427   accuracy 0.5850515463917526   precision 0.5124129415140569   recall 0.5061760621099652
deviation 1/5   iterations 340/2000   F1 0.48635360350238926   accuracy 0.5902061855670103   precision 0.4992342109791774   recall 0.5093384000446248
deviation 1/5   iterations 350/2000   F1 0.46396467286398896   accuracy 0.5541237113402062   precision 0.48985748221469194   recall 0.482152668268438
deviation 1/5   iterations 360/2000   F1 0.4765995635687769   accuracy 0.5631443298969072   precision 0.5047640674103705   recall 0.4998500833254955
deviation 1/5   iterations 370/2000   F1 0.5308535235241668   accuracy 0.6688144329896907   precision 0.5301705862719096   recall 0.5375974488921353
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deviation 1/5   iterations 380/2000   F1 0.48070971080673125   accuracy 0.5876288659793815   precision 0.5216006992489338   recall 0.4896164177080826
deviation 1/5   iterations 390/2000   F1 0.517483302612793   accuracy 0.6585051546391752   precision 0.5265190270720125   recall 0.5201339478206912
deviation 1/5   iterations 400/2000   F1 0.4858636094134532   accuracy 0.5837628865979382   precision 0.5149745441102043   recall 0.4995652742168157
deviation 1/5   iterations 410/2000   F1 0.4923348553986005   accuracy 0.6082474226804123   precision 0.5031494472835694   recall 0.5046053571799378
deviation 1/5   iterations 420/2000   F1 0.5193999303351484   accuracy 0.6713917525773195   precision 0.5236209578332174   recall 0.5199938844420123
deviation 1/5   iterations 430/2000   F1 0.4984439406126713   accuracy 0.604381443298969   precision 0.5266271862920608   recall 0.5152020475311591
deviation 1/5   iterations 440/2000   F1 0.4824555749850956   accuracy 0.5940721649484536   precision 0.5076927317579784   recall 0.49107893996451996
deviation 1/5   iterations 450/2000   F1 0.5000311380474637   accuracy 0.6121134020618557   precision 0.5208671390558969   recall 0.510300440018876
deviation 1/5   iterations 460/2000   F1 0.44995017329234893   accuracy 0.5231958762886598   precision 0.5113921392039507   recall 0.4763904445831506
deviation 1/5   iterations 470/2000   F1 0.4967540219633439   accuracy 0.6237113402061856   precision 0.5043388131804744   recall 0.5038531272610158
deviation 1/5   iterations 480/2000   F1 0.47902309452051145   accuracy 0.5837628865979382   precision 0.5096299560283248   recall 0.49097702757009176
deviation 1/5   iterations 490/2000   F1 0.5162335644245523   accuracy 0.654639175257732   precision 0.5171717171717171   recall 0.5223533823473727
deviation 1/5   iterations 500/2000   F1 0.5076849165217433   accuracy 0.6237113402061856   precision 0.517606794126077   recall 0.519959805067607
deviation 1/5   iterations 510/2000   F1 0.5037795065600427   accuracy 0.6185567010309279   precision 0.5243382533003852   recall 0.5147096270364666
deviation 1/5   iterations 520/2000   F1 0.5047267406413851   accuracy 0.6185567010309279   precision 0.518603884679966   recall 0.5153833563175709
deviation 1/5   iterations 530/2000   F1 0.5278472134213369   accuracy 0.6752577319587629   precision 0.5267417159027897   recall 0.5322819215229776
deviation 1/5   iterations 540/2000   F1 0.5155819928602319   accuracy 0.6391752577319587   precision 0.5198754748268067   recall 0.5254969908767438
deviation 1/5   iterations 550/2000   F1 0.5133221988179281   accuracy 0.6353092783505154   precision 0.5209407497517345   recall 0.5233297543882793
deviation 1/5   iterations 560/2000   F1 0.5262857359817238   accuracy 0.6752577319587629   precision 0.5244802482396467   recall 0.5304717245018487
deviation 1/5   iterations 570/2000   F1 0.4855655733560218   accuracy 0.5914948453608248   precision 0.5025245580981688   recall 0.49819151305500625
deviation 1/5   iterations 580/2000   F1 0.5023088261597229   accuracy 0.6391752577319587   precision 0.5029096983403987   recall 0.5110154147077134
deviation 1/5   iterations 590/2000   F1 0.5109703422485711   accuracy 0.6327319587628866   precision 0.521979821802935   recall 0.5213654469345054
deviation 1/5   iterations 600/2000   F1 0.5104167759404578   accuracy 0.6752577319587629   precision 0.5068940695023892   recall 0.517892893045731
deviation 1/5   iterations 610/2000   F1 0.4894316514056036   accuracy 0.595360824742268   precision 0.5233879453077583   recall 0.5033979619964081
deviation 1/5   iterations 620/2000   F1 0.5281470795338353   accuracy 0.6649484536082474   precision 0.5288043913635588   recall 0.5347564831225665
deviation 1/5   iterations 630/2000   F1 0.5059978865058848   accuracy 0.6533505154639175   precision 0.5188340365615979   recall 0.5080131724721716
deviation 1/5   iterations 640/2000   F1 0.522261000524074   accuracy 0.6726804123711341   precision 0.5204067873991276   recall 0.5265121246433778
deviation 1/5   iterations 650/2000   F1 0.5030274418660953   accuracy 0.6507731958762887   precision 0.5095462839728203   recall 0.5027320094901082
deviation 1/5   iterations 660/2000   F1 0.5153104396194403   accuracy 0.6572164948453608   precision 0.5131022135723139   recall 0.5225074927800178
deviation 1/5   iterations 670/2000   F1 0.47207401492698237   accuracy 0.5631443298969072   precision 0.5097239155318083   recall 0.48868536268475443
deviation 1/5   iterations 680/2000   F1 0.5358561666861811   accuracy 0.6881443298969072   precision 0.5333843641484884   recall 0.5407301047910226
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deviation 1/5   iterations 690/2000   F1 0.5265565955367241   accuracy 0.663659793814433   precision 0.5304756564461534   recall 0.5314884461963224
deviation 1/5   iterations 700/2000   F1 0.46924092904680265   accuracy 0.5592783505154639   precision 0.5229136940030795   recall 0.4850781199422971
deviation 1/5   iterations 710/2000   F1 0.49711360053131726   accuracy 0.625   precision 0.5160769130418724   recall 0.5024309546581456
deviation 1/5   iterations 720/2000   F1 0.5062456443359801   accuracy 0.6585051546391752   precision 0.5072502637747045   recall 0.5076476640563575
deviation 1/5   iterations 730/2000   F1 0.5139753270821231   accuracy 0.6688144329896907   precision 0.5115046371841561   recall 0.5190068447833109
deviation 1/5   iterations 740/2000   F1 0.49170065328156537   accuracy 0.6237113402061856   precision 0.497826227422476   recall 0.49612370527896427
deviation 1/5   iterations 750/2000   F1 0.5131211942069025   accuracy 0.6494845360824743   precision 0.5201177595338179   recall 0.5179620289809046
deviation 1/5   iterations 760/2000   F1 0.5111808616814054   accuracy 0.6404639175257731   precision 0.5141102985556923   recall 0.5198065903891278
deviation 1/5   iterations 770/2000   F1 0.5245103298208609   accuracy 0.6842783505154639   precision 0.5299755725131596   recall 0.5224302950573506
deviation 1/5   iterations 780/2000   F1 0.5041119083550805   accuracy 0.6597938144329897   precision 0.5064574314574314   recall 0.5038600082816544
deviation 1/5   iterations 790/2000   F1 0.504281544677227   accuracy 0.6610824742268041   precision 0.5055049038878305   recall 0.5054103958785536
deviation 1/5   iterations 800/2000   F1 0.5252842955850426   accuracy 0.6572164948453608   precision 0.5311361809908607   recall 0.5316510255774459
deviation 1/5   iterations 810/2000   F1 0.5093437353351434   accuracy 0.6726804123711341   precision 0.5080504776375179   recall 0.5114493668850271
deviation 1/5   iterations 820/2000   F1 0.5163246628833744   accuracy 0.6726804123711341   precision 0.5155806564333367   recall 0.5185976072777584
deviation 1/5   iterations 830/2000   F1 0.5100667803353226   accuracy 0.6662371134020618   precision 0.5150820663860749   recall 0.508361742991029
deviation 1/5   iterations 840/2000   F1 0.5116624521549282   accuracy 0.6610824742268041   precision 0.5169833566801744   recall 0.512743731654853
deviation 1/5   iterations 850/2000   F1 0.5046282746918531   accuracy 0.6597938144329897   precision 0.5121572528979936   recall 0.5024200020276618
deviation 1/5   iterations 860/2000   F1 0.5136155711247681   accuracy 0.6365979381443299   precision 0.5232221158169188   recall 0.5233475880394017
deviation 1/5   iterations 870/2000   F1 0.5061239652206865   accuracy 0.6649484536082474   precision 0.5063676545887171   recall 0.5097839155938992
deviation 1/5   iterations 880/2000   F1 0.5195379246443076   accuracy 0.6597938144329897   precision 0.5176585355190063   recall 0.5290435666325058
deviation 1/5   iterations 890/2000   F1 0.5197573071126046   accuracy 0.6585051546391752   precision 0.5217505959832042   recall 0.5251018004251575
deviation 1/5   iterations 900/2000   F1 0.5285476224256834   accuracy 0.6817010309278351   precision 0.5251755353368256   recall 0.5346032684440872
deviation 1/5   iterations 910/2000   F1 0.526362176094044   accuracy 0.6649484536082474   precision 0.5253265468381748   recall 0.533712563074326
deviation 1/5   iterations 920/2000   F1 0.5213534242508772   accuracy 0.6585051546391752   precision 0.5197759370634256   recall 0.5318798500507526
deviation 1/5   iterations 930/2000   F1 0.5160814332572875   accuracy 0.6817010309278351   precision 0.5200063405231791   recall 0.5307052313264775
deviation 1/5   iterations 940/2000   F1 0.50719819188323   accuracy 0.6353092783505154   precision 0.5107786061132917   recall 0.5160889663037641
deviation 1/5   iterations 950/2000   F1 0.5123560022371888   accuracy 0.6417525773195877   precision 0.5162254799150993   recall 0.5204981533213546
deviation 1/5   iterations 960/2000   F1 0.5353306158938284   accuracy 0.6791237113402062   precision 0.5353162605742882   recall 0.5396021059994763
deviation 1/5   iterations 970/2000   F1 0.5165757340713711   accuracy 0.6752577319587629   precision 0.516085190128701   recall 0.5173117114564107
deviation 1/5   iterations 980/2000   F1 0.5142645737724538   accuracy 0.6726804123711341   precision 0.5207489835092894   recall 0.5111458283710588
deviation 1/5   iterations 990/2000   F1 0.5152332894662296   accuracy 0.6675257731958762   precision 0.517098918775431   recall 0.5151576262677466
deviation 1/5   iterations 1000/2000   F1 0.5253104154816235   accuracy 0.6623711340206185   precision 0.524814061944924   recall 0.531563160236984
deviation 1/5   iterations 1010/2000   F1 0.5430840889171308   accuracy 0.6739690721649485   precision 0.5395229897637767   recall 0.5518060643371357
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deviation 1/5   iterations 1020/2000   F1 0.5079657926572049   accuracy 0.6469072164948454   precision 0.5091638029782359   recall 0.5261444175582474
deviation 1/5   iterations 1030/2000   F1 0.5047246660149886   accuracy 0.6365979381443299   precision 0.5065019177713478   recall 0.519079360154656
deviation 1/5   iterations 1040/2000   F1 0.5088533540520452   accuracy 0.6417525773195877   precision 0.5150665468843857   recall 0.5128612790310871
deviation 1/5   iterations 1050/2000   F1 0.5034791858308864   accuracy 0.6520618556701031   precision 0.5051392572944297   recall 0.5041898493952234
deviation 1/5   iterations 1060/2000   F1 0.5291766978946367   accuracy 0.6907216494845361   precision 0.5291727700552874   recall 0.5341061655980727
deviation 1/5   iterations 1070/2000   F1 0.5018965076234713   accuracy 0.6804123711340206   precision 0.5028472837324746   recall 0.5025312791247342
deviation 1/5   iterations 1080/2000   F1 0.5010750326170887   accuracy 0.6739690721649485   precision 0.5012820552799785   recall 0.5008836614847288
deviation 1/5   iterations 1090/2000   F1 0.5095552758548353   accuracy 0.6404639175257731   precision 0.5179110547783476   recall 0.5147461900928775
deviation 1/5   iterations 1100/2000   F1 0.5251309350140085   accuracy 0.6984536082474226   precision 0.5234204573901227   recall 0.5286233764964693
deviation 1/5   iterations 1110/2000   F1 0.511236802413273   accuracy 0.6713917525773195   precision 0.5094652994799838   recall 0.5134268256386014
deviation 1/5   iterations 1120/2000   F1 0.5184623664131861   accuracy 0.6469072164948454   precision 0.5206611542592324   recall 0.5260259744278472
deviation 1/5   iterations 1130/2000   F1 0.4931224093986328   accuracy 0.634020618556701   precision 0.49176281237436253   recall 0.5029111196072037
deviation 1/5   iterations 1140/2000   F1 0.5045632925534886   accuracy 0.6494845360824743   precision 0.5060152288833039   recall 0.5078671238270202
deviation 1/5   iterations 1150/2000   F1 0.49355832100542313   accuracy 0.6237113402061856   precision 0.5035211463782893   recall 0.4967974345600686
deviation 1/5   iterations 1160/2000   F1 0.5261077455799487   accuracy 0.6945876288659794   precision 0.5267225331137037   recall 0.5267337830833568
deviation 1/5   iterations 1170/2000   F1 0.49412379064261924   accuracy 0.6430412371134021   precision 0.49867389444264143   recall 0.49401086549803325
deviation 1/5   iterations 1180/2000   F1 0.5114179995821867   accuracy 0.6610824742268041   precision 0.515969098987072   recall 0.5116998116066124
deviation 1/5   iterations 1190/2000   F1 0.5215423939363905   accuracy 0.6829896907216495   precision 0.5208975176981739   recall 0.5231787383791165
deviation 1/5   iterations 1200/2000   F1 0.5207998726593743   accuracy 0.6804123711340206   precision 0.5213077984817115   recall 0.5210293355417746
deviation 1/5   iterations 1210/2000   F1 0.5177969357823629   accuracy 0.6907216494845361   precision 0.5212918179150635   recall 0.51521202297528
deviation 1/5   iterations 1220/2000   F1 0.5048091537003891   accuracy 0.6585051546391752   precision 0.5072799608093463   recall 0.5050711900623405
deviation 1/5   iterations 1230/2000   F1 0.5097476019153864   accuracy 0.6623711340206185   precision 0.5074618096357226   recall 0.5146902054575043
deviation 1/5   iterations 1240/2000   F1 0.5137260008768388   accuracy 0.6494845360824743   precision 0.5140520399141089   recall 0.5227447862018029
deviation 1/5   iterations 1250/2000   F1 0.4926374369605811   accuracy 0.6198453608247423   precision 0.5024331947464686   recall 0.49748431514097335
deviation 1/5   iterations 1260/2000   F1 0.5164094401652313   accuracy 0.6585051546391752   precision 0.514218423646469   recall 0.5248241573498055
deviation 1/5   iterations 1270/2000   F1 0.5039499113346004   accuracy 0.6726804123711341   precision 0.5009226209436963   recall 0.5163246717977094
deviation 1/5   iterations 1280/2000   F1 0.48853528209963853   accuracy 0.6585051546391752   precision 0.49405755714135297   recall 0.4849480320077393
deviation 1/5   iterations 1290/2000   F1 0.5004240033831706   accuracy 0.6713917525773195   precision 0.5005097690282875   recall 0.5004519079767316
deviation 1/5   iterations 1300/2000   F1 0.5169221679728245   accuracy 0.6842783505154639   precision 0.5163796427194448   recall 0.5219675565984305
deviation 1/5   iterations 1310/2000   F1 0.5240655569100372   accuracy 0.6855670103092784   precision 0.5220238644950478   recall 0.5271383382375875
deviation 1/5   iterations 1320/2000   F1 0.5009977122026092   accuracy 0.6662371134020618   precision 0.5128284804997133   recall 0.4972895700420719
deviation 1/5   iterations 1330/2000   F1 0.5204718030074984   accuracy 0.6726804123711341   precision 0.528976034622862   recall 0.5190603457366784
deviation 1/5   iterations 1340/2000   F1 0.5166132521631216   accuracy 0.6688144329896907   precision 0.517542735042735   recall 0.5175668385293183
deviation 1/5   iterations 1350/2000   F1 0.5219751042731714   accuracy 0.6752577319587629   precision 0.5211447801513304   recall 0.5242748564655738
deviation 1/5   iterations 1360/2000   F1 0.5239462732078768   accuracy 0.6713917525773195   precision 0.5230136546347598   recall 0.5275382110404958
deviation 1/5   iterations 1370/2000   F1 0.5279778906801935   accuracy 0.6739690721649485   precision 0.5256668877291121   recall 0.5340742848929838
deviation 1/5   iterations 1380/2000   F1 0.5138139548458822   accuracy 0.6597938144329897   precision 0.5221658837882556   recall 0.5148137381002112
deviation 1/5   iterations 1390/2000   F1 0.5095748360029081   accuracy 0.6597938144329897   precision 0.519958444521147   recall 0.5087094177557205
deviation 1/5   iterations 1400/2000   F1 0.5011812297734628   accuracy 0.625   precision 0.5145839207275628   recall 0.5065399825979395
deviation 1/5   iterations 1410/2000   F1 0.5245665878644602   accuracy 0.6688144329896907   precision 0.5234552030656349   recall 0.528057829888955
deviation 1/5   iterations 1420/2000   F1 0.5146304675716441   accuracy 0.6675257731958762   precision 0.512894501506163   recall 0.5175490048781958
deviation 1/5   iterations 1430/2000   F1 0.5095078299776286   accuracy 0.634020618556701   precision 0.5162670914398722   recall 0.5173001480844501
deviation 1/5   iterations 1440/2000   F1 0.49417028743620334   accuracy 0.6404639175257731   precision 0.49362318005687045   recall 0.4994983369509587
deviation 1/5   iterations 1450/2000   F1 0.524089074265719   accuracy 0.6817010309278351   precision 0.5204660413124064   recall 0.5309828744018296
deviation 1/5   iterations 1460/2000   F1 0.5169702122370468   accuracy 0.6649484536082474   precision 0.5137025577081458   recall 0.524754125660466
deviation 1/5   iterations 1470/2000   F1 0.4896313864459678   accuracy 0.625   precision 0.49270856150239045   recall 0.4973039021087275
deviation 1/5   iterations 1480/2000   F1 0.5179853613588553   accuracy 0.6688144329896907   precision 0.5148607723605055   recall 0.5242523404631294
deviation 1/5   iterations 1490/2000   F1 0.5083818570067814   accuracy 0.6675257731958762   precision 0.5075124728975663   recall 0.5104933121772486
deviation 1/5   iterations 1500/2000   F1 0.5009451352220897   accuracy 0.6701030927835051   precision 0.49676352554972586   recall 0.5097885979452214
deviation 1/5   iterations 1510/2000   F1 0.4913982391184219   accuracy 0.6675257731958762   precision 0.4886485753232488   recall 0.506502727367855
deviation 1/5   iterations 1520/2000   F1 0.5082227229382632   accuracy 0.6662371134020618   precision 0.5048036392640682   recall 0.5157209742059444
deviation 1/5   iterations 1530/2000   F1 0.4964988647226303   accuracy 0.6198453608247423   precision 0.5138156411990084   recall 0.5086231403430983
deviation 1/5   iterations 1540/2000   F1 0.5069630639447288   accuracy 0.6520618556701031   precision 0.5067778696810955   recall 0.511919271377275
deviation 1/5   iterations 1550/2000   F1 0.5137066263977568   accuracy 0.6726804123711341   precision 0.5110794329611151   recall 0.5184125118941902
deviation 1/5   iterations 1560/2000   F1 0.48569342373524255   accuracy 0.6365979381443299   precision 0.4847036515755727   recall 0.490460503145115
deviation 1/5   iterations 1570/2000   F1 0.515718021794294   accuracy 0.663659793814433   precision 0.5128744791544763   recall 0.5223449133988943
deviation 1/5   iterations 1580/2000   F1 0.5088466712657161   accuracy 0.6778350515463918   precision 0.5082177031142548   recall 0.5141230709221504
deviation 1/5   iterations 1590/2000   F1 0.519410045497002   accuracy 0.6907216494845361   precision 0.5218929238362011   recall 0.523615174238436
deviation 1/5   iterations 1600/2000   F1 0.4915786819848023   accuracy 0.6662371134020618   precision 0.4926963703743417   recall 0.4906299635468771
deviation 1/5   iterations 1610/2000   F1 0.5095117256195413   accuracy 0.6507731958762887   precision 0.5090613934843861   recall 0.513223000849745
deviation 1/5   iterations 1620/2000   F1 0.5045958279946845   accuracy 0.6752577319587629   precision 0.5030611229997218   recall 0.50672817240499
deviation 1/5   iterations 1630/2000   F1 0.5031457914899172   accuracy 0.6481958762886598   precision 0.50338320778893   recall 0.5072681085865773
deviation 1/5   iterations 1640/2000   F1 0.5072726625866983   accuracy 0.663659793814433   precision 0.5061421014467821   recall 0.5086037187641361
deviation 1/5   iterations 1650/2000   F1 0.5159451933288833   accuracy 0.6572164948453608   precision 0.5132766647682839   recall 0.5226000404718019
deviation 1/5   iterations 1660/2000   F1 0.5082565101332247   accuracy 0.654639175257732   precision 0.5057718554139076   recall 0.514161221906401
deviation 1/5   iterations 1670/2000   F1 0.5181084784052074   accuracy 0.6907216494845361   precision 0.529655533868286   recall 0.5120543673919425
deviation 1/5   iterations 1680/2000   F1 0.5059994578222561   accuracy 0.6713917525773195   precision 0.5172263624788432   recall 0.5017734711003241
deviation 1/5   iterations 1690/2000   F1 0.47796396159622184   accuracy 0.6417525773195877   precision 0.49446583765906027   recall 0.47280005830545296
deviation 1/5   iterations 1700/2000   F1 0.5127482176662504   accuracy 0.6649484536082474   precision 0.5160256410256411   recall 0.5131007711221885
deviation 1/5   iterations 1710/2000   F1 0.500406678197765   accuracy 0.6597938144329897   precision 0.49903043170559097   recall 0.5020498112605256
deviation 1/5   iterations 1720/2000   F1 0.4970246950531803   accuracy 0.6469072164948454   precision 0.4955778334725703   recall 0.5004722253098597
deviation 1/5   iterations 1730/2000   F1 0.49934184658205627   accuracy 0.654639175257732   precision 0.5015974875856085   recall 0.4994686549151863
deviation 1/5   iterations 1740/2000   F1 0.5049329210141408   accuracy 0.6559278350515464   precision 0.5045571465084535   recall 0.5071233628565763
deviation 1/5   iterations 1750/2000   F1 0.47998599869945197   accuracy 0.6494845360824743   precision 0.48032249937011845   recall 0.4800145437903674
deviation 1/5   iterations 1760/2000   F1 0.5089180923328537   accuracy 0.6688144329896907   precision 0.5072524911603986   recall 0.5129025244388202
deviation 1/5   iterations 1770/2000   F1 0.4928163937777132   accuracy 0.654639175257732   precision 0.49019997636094326   recall 0.49909846414805026
deviation 1/5   iterations 1780/2000   F1 0.4944541560420987   accuracy 0.6391752577319587   precision 0.49413384435410873   recall 0.49813304473762754
deviation 1/5   iterations 1790/2000   F1 0.510950016684692   accuracy 0.6649484536082474   precision 0.5109196159988051   recall 0.5119643033821641
deviation 1/5   iterations 1800/2000   F1 0.4956047968597255   accuracy 0.6353092783505154   precision 0.4980352533567169   recall 0.49967874998320455
deviation 1/5   iterations 1810/2000   F1 0.49760009173041514   accuracy 0.6610824742268041   precision 0.5019306903796205   recall 0.49510449990248495
deviation 1/5   iterations 1820/2000   F1 0.492390289449113   accuracy 0.6520618556701031   precision 0.4953901565558736   recall 0.4910298363497854
deviation 1/5   iterations 1830/2000   F1 0.5044790695116697   accuracy 0.6585051546391752   precision 0.5018658998132447   recall 0.5091802180021343
deviation 1/5   iterations 1840/2000   F1 0.5064352171624654   accuracy 0.6597938144329897   precision 0.5042706973741456   recall 0.5099643286261452
deviation 1/5   iterations 1850/2000   F1 0.5002357596970257   accuracy 0.6533505154639175   precision 0.4983483189600164   recall 0.5038374922792098
deviation 1/5   iterations 1860/2000   F1 0.5059663865546219   accuracy 0.6430412371134021   precision 0.5077333241691219   recall 0.5115575495586172
deviation 1/5   iterations 1870/2000   F1 0.5027810369430792   accuracy 0.6443298969072165   precision 0.5007427753240855   recall 0.5119714694154919
deviation 1/5   iterations 1880/2000   F1 0.5114411867523901   accuracy 0.6623711340206185   precision 0.5079741963252061   recall 0.5214682550830996
deviation 1/5   iterations 1890/2000   F1 0.4919071122585172   accuracy 0.6572164948453608   precision 0.48826176031391694   recall 0.5011553192936082
deviation 1/5   iterations 1900/2000   F1 0.4994322344235849   accuracy 0.6314432989690721   precision 0.49926922953842706   recall 0.5137366344317315
deviation 1/5   iterations 1910/2000   F1 0.5105191034545308   accuracy 0.654639175257732   precision 0.5080520708880923   recall 0.5175965205650906
deviation 1/5   iterations 1920/2000   F1 0.4990444721669645   accuracy 0.6533505154639175   precision 0.49805494091407226   recall 0.502119842949865
deviation 1/5   iterations 1930/2000   F1 0.4960197406145686   accuracy 0.645618556701031   precision 0.5034445014695347   recall 0.49481280977316655
deviation 1/5   iterations 1940/2000   F1 0.4858554587615321   accuracy 0.6688144329896907   precision 0.49433441021826935   recall 0.48179974112704604
deviation 1/5   iterations 1950/2000   F1 0.48674306729364974   accuracy 0.6585051546391752   precision 0.4886411959342046   recall 0.4857143089806277
deviation 1/5   iterations 1960/2000   F1 0.47923757690941726   accuracy 0.6469072164948454   precision 0.4810203635805421   recall 0.4777725932612414
deviation 1/5   iterations 1970/2000   F1 0.507040854373468   accuracy 0.6649484536082474   precision 0.5075215701771718   recall 0.5067188077023458
deviation 1/5   iterations 1980/2000   F1 0.4844866726477329   accuracy 0.6649484536082474   precision 0.4881818181818182   recall 0.48555172959950427
deviation 1/5   iterations 1990/2000   F1 0.4973499272128778   accuracy 0.6520618556701031   precision 0.4954289103905472   recall 0.5021020092987426
deviation 1/5   iterations 2000/2000   F1 0.48275047333957694   accuracy 0.6404639175257731   precision 0.48918558289517583   recall 0.4796528219717097

deviation 2/5   iterations 10/2000   F1 0.4342005469823594   accuracy 0.5496774193548387   precision 0.44651065931409634   recall 0.45379577483110173
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deviation 2/5   iterations 20/2000   F1 0.4631304707804096   accuracy 0.5909677419354838   precision 0.4698911401684141   recall 0.4678372103563779
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deviation 2/5   iterations 30/2000   F1 0.47101418654629335   accuracy 0.5741935483870968   precision 0.494858320147557   recall 0.480752902838067
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deviation 2/5   iterations 40/2000   F1 0.4541526465245178   accuracy 0.5367741935483871   precision 0.5035822706455845   recall 0.472401460258898
deviation 2/5   iterations 50/2000   F1 0.48482600850151475   accuracy 0.6038709677419355   precision 0.502209653092006   recall 0.48867351962744454
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deviation 2/5   iterations 60/2000   F1 0.5102400705181669   accuracy 0.6116129032258064   precision 0.5238476395616677   recall 0.5268538803528222
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deviation 2/5   iterations 70/2000   F1 0.47416029596880654   accuracy 0.5264516129032258   precision 0.5207685018602972   recall 0.5172281228283836
deviation 2/5   iterations 80/2000   F1 0.5360946574143391   accuracy 0.6516129032258065   precision 0.5336684765625251   recall 0.5542276805488129
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deviation 2/5   iterations 90/2000   F1 0.5352478148151   accuracy 0.64   precision 0.5353901418339012   recall 0.5585871532101921
deviation 2/5   iterations 100/2000   F1 0.4988862667163499   accuracy 0.5754838709677419   precision 0.5410855178471371   recall 0.5299046767260316
deviation 2/5   iterations 110/2000   F1 0.5051903007980356   accuracy 0.6141935483870967   precision 0.5376309323677745   recall 0.5270769836435099
deviation 2/5   iterations 120/2000   F1 0.5150122533174036   accuracy 0.6103225806451613   precision 0.5361249692808476   recall 0.5342112165568004
deviation 2/5   iterations 130/2000   F1 0.5078882065402183   accuracy 0.6206451612903225   precision 0.5149445041174364   recall 0.522779852275678
deviation 2/5   iterations 140/2000   F1 0.5087313821036881   accuracy 0.6361290322580645   precision 0.5094275805365669   recall 0.525564348241411
deviation 2/5   iterations 150/2000   F1 0.5256647298256985   accuracy 0.6541935483870968   precision 0.5234065134458511   recall 0.5371690736787368
deviation 2/5   iterations 160/2000   F1 0.5098905032642699   accuracy 0.5896774193548387   precision 0.5255609312424672   recall 0.5542611419517799
deviation 2/5   iterations 170/2000   F1 0.5140049524995473   accuracy 0.6219354838709678   precision 0.517732803632982   recall 0.5373285266723379
deviation 2/5   iterations 180/2000   F1 0.5388129629241312   accuracy 0.6864516129032258   precision 0.5344898528780123   recall 0.5464092478482027
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deviation 2/5   iterations 190/2000   F1 0.5334959372063457   accuracy 0.68   precision 0.5287227043499444   recall 0.5437539341692302
deviation 2/5   iterations 200/2000   F1 0.538572783088158   accuracy 0.6838709677419355   precision 0.5340136621225652   recall 0.5484903998498573
deviation 2/5   iterations 210/2000   F1 0.5195720531668262   accuracy 0.6064516129032258   precision 0.5315561769246772   recall 0.551317192992446
deviation 2/5   iterations 220/2000   F1 0.5187660714535011   accuracy 0.6090322580645161   precision 0.5286725102320192   recall 0.5492360409907913
deviation 2/5   iterations 230/2000   F1 0.4957609292261731   accuracy 0.567741935483871   precision 0.5336768988019146   recall 0.5264942316304669
deviation 2/5   iterations 240/2000   F1 0.5155145867126775   accuracy 0.6103225806451613   precision 0.5260972065902342   recall 0.5410126353202861
deviation 2/5   iterations 250/2000   F1 0.49259816427877984   accuracy 0.6258064516129033   precision 0.49892106193126606   recall 0.5214461412948238
deviation 2/5   iterations 260/2000   F1 0.5243948787244367   accuracy 0.6296774193548387   precision 0.5278936789353456   recall 0.552800375814916
deviation 2/5   iterations 270/2000   F1 0.5113235554349927   accuracy 0.5974193548387097   precision 0.5298465894461782   recall 0.5538894667594095
deviation 2/5   iterations 280/2000   F1 0.5337352578771343   accuracy 0.6670967741935484   precision 0.5317162218422723   recall 0.5550893321283956
deviation 2/5   iterations 290/2000   F1 0.5339811047485098   accuracy 0.6619354838709678   precision 0.5296020962185405   recall 0.5473809375377873
deviation 2/5   iterations 300/2000   F1 0.52259629661345   accuracy 0.6245161290322581   precision 0.5327283206129515   recall 0.543614116228715
deviation 2/5   iterations 310/2000   F1 0.5149937223012131   accuracy 0.6348387096774194   precision 0.5207097407571285   recall 0.5447923830393065
deviation 2/5   iterations 320/2000   F1 0.501936949808712   accuracy 0.5780645161290323   precision 0.5252123438412247   recall 0.5394399493808332
deviation 2/5   iterations 330/2000   F1 0.5245387236623986   accuracy 0.6593548387096774   precision 0.5255133343304448   recall 0.548278177651088
deviation 2/5   iterations 340/2000   F1 0.5164208179311154   accuracy 0.6180645161290322   precision 0.5221124166296373   recall 0.5397748906613887
deviation 2/5   iterations 350/2000   F1 0.5289043834125801   accuracy 0.6516129032258065   precision 0.5285871985064898   recall 0.5538462696426207
deviation 2/5   iterations 360/2000   F1 0.48327955475669704   accuracy 0.5445161290322581   precision 0.5198089153272927   recall 0.5257896604755709
deviation 2/5   iterations 370/2000   F1 0.5222904453616554   accuracy 0.6270967741935484   precision 0.5273513994905511   recall 0.5548179593322052
deviation 2/5   iterations 380/2000   F1 0.513714842662211   accuracy 0.6   precision 0.5284525886980216   recall 0.5425358245634188
deviation 2/5   iterations 390/2000   F1 0.5140903522115439   accuracy 0.6129032258064516   precision 0.525038043717289   recall 0.5515411144103455
deviation 2/5   iterations 400/2000   F1 0.5010098833577658   accuracy 0.6038709677419355   precision 0.5139366948939869   recall 0.5361802033177022
deviation 2/5   iterations 410/2000   F1 0.5112034435716466   accuracy 0.5922580645161291   precision 0.5274314125736499   recall 0.5505749879858018
deviation 2/5   iterations 420/2000   F1 0.5119555105432921   accuracy 0.584516129032258   precision 0.5372175141242937   recall 0.5594166523903468
deviation 2/5   iterations 430/2000   F1 0.535606772244874   accuracy 0.6464516129032258   precision 0.5345874122006525   recall 0.5609246244673378
deviation 2/5   iterations 440/2000   F1 0.5352045563236381   accuracy 0.6374193548387097   precision 0.5338641121172453   recall 0.5623368756605355
deviation 2/5   iterations 450/2000   F1 0.513304586008052   accuracy 0.6193548387096774   precision 0.5169058924301013   recall 0.5402757481405196
deviation 2/5   iterations 460/2000   F1 0.5496365140894722   accuracy 0.6748387096774193   precision 0.5437390009995279   recall 0.5622183290275298
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deviation 2/5   iterations 470/2000   F1 0.5310921762749988   accuracy 0.6632258064516129   precision 0.528845364211218   recall 0.5496139339499723
deviation 2/5   iterations 480/2000   F1 0.532769641192821   accuracy 0.6632258064516129   precision 0.5290364077397055   recall 0.5522121423495533
deviation 2/5   iterations 490/2000   F1 0.5226753538983392   accuracy 0.6193548387096774   precision 0.5306047361059165   recall 0.5495085591650782
deviation 2/5   iterations 500/2000   F1 0.5600188260147969   accuracy 0.6980645161290323   precision 0.5606619187264349   recall 0.5692157710709891
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deviation 2/5   iterations 510/2000   F1 0.5396699254896041   accuracy 0.6645161290322581   precision 0.5348169202996026   recall 0.5540240486857687
deviation 2/5   iterations 520/2000   F1 0.5550660755350546   accuracy 0.6606451612903226   precision 0.5543968351505221   recall 0.5824524966706313
deviation 2/5   iterations 530/2000   F1 0.5252692952781443   accuracy 0.6283870967741936   precision 0.527430895488113   recall 0.5564391602153246
deviation 2/5   iterations 540/2000   F1 0.5463495892407434   accuracy 0.6619354838709678   precision 0.5450777192156503   recall 0.5700258806362216
deviation 2/5   iterations 550/2000   F1 0.5322310936900857   accuracy 0.6438709677419355   precision 0.5286633978841958   recall 0.5518104418885059
deviation 2/5   iterations 560/2000   F1 0.536611583115547   accuracy 0.6696774193548387   precision 0.5324665630369161   recall 0.5505371086958905
deviation 2/5   iterations 570/2000   F1 0.5396716257224231   accuracy 0.6735483870967742   precision 0.537473677096228   recall 0.5543439364256252
deviation 2/5   iterations 580/2000   F1 0.5512022329735371   accuracy 0.6929032258064516   precision 0.5616730390453019   recall 0.5688570222885669
deviation 2/5   iterations 590/2000   F1 0.5066039160888134   accuracy 0.6   precision 0.5221287342014554   recall 0.5314040584672975
deviation 2/5   iterations 600/2000   F1 0.5227001371579685   accuracy 0.6348387096774194   precision 0.5272117402391351   recall 0.5544462841398349
deviation 2/5   iterations 610/2000   F1 0.4988521275006647   accuracy 0.607741935483871   precision 0.5080458172265501   recall 0.5320652688799625
deviation 2/5   iterations 620/2000   F1 0.5337260314826611   accuracy 0.6451612903225806   precision 0.5312839172286177   recall 0.5534316427716252
deviation 2/5   iterations 630/2000   F1 0.49685734250981756   accuracy 0.5716129032258065   precision 0.5251035916719072   recall 0.5285053519427821
deviation 2/5   iterations 640/2000   F1 0.5499095857810758   accuracy 0.6825806451612904   precision 0.5587612550266463   recall 0.5669159336655912
deviation 2/5   iterations 650/2000   F1 0.5406026365348399   accuracy 0.6761290322580645   precision 0.5435934408440831   recall 0.5590642031874563
deviation 2/5   iterations 660/2000   F1 0.5063510483769105   accuracy 0.6064516129032258   precision 0.5144964949634957   recall 0.5394226050839407
deviation 2/5   iterations 670/2000   F1 0.5201590994276586   accuracy 0.6503225806451612   precision 0.5197359168852042   recall 0.5409025972102844
deviation 2/5   iterations 680/2000   F1 0.5310120043802559   accuracy 0.6670967741935484   precision 0.5322407569993172   recall 0.5481607763961791
deviation 2/5   iterations 690/2000   F1 0.5349627046191395   accuracy 0.6593548387096774   precision 0.534406556110019   recall 0.5545949378542389
deviation 2/5   iterations 700/2000   F1 0.5334206530409061   accuracy 0.6748387096774193   precision 0.5311775070975434   recall 0.5453815982573236
deviation 2/5   iterations 710/2000   F1 0.5300113919646133   accuracy 0.6503225806451612   precision 0.5288147790960642   recall 0.5422772145517342
deviation 2/5   iterations 720/2000   F1 0.5227956135825496   accuracy 0.6438709677419355   precision 0.5208324047799452   recall 0.5344254840735995
deviation 2/5   iterations 730/2000   F1 0.5204824984798805   accuracy 0.6296774193548387   precision 0.5233422102502883   recall 0.546610752580496
deviation 2/5   iterations 740/2000   F1 0.48541246722358267   accuracy 0.5703225806451613   precision 0.500689690225196   recall 0.5169124075373078
deviation 2/5   iterations 750/2000   F1 0.5221494302181212   accuracy 0.6619354838709678   precision 0.5294603551041569   recall 0.5469359581472298
deviation 2/5   iterations 760/2000   F1 0.5308064510190748   accuracy 0.6425806451612903   precision 0.5286947965688961   recall 0.5495138769919556
deviation 2/5   iterations 770/2000   F1 0.5302299467452445   accuracy 0.6412903225806451   precision 0.5283653121659745   recall 0.5546305263879568
deviation 2/5   iterations 780/2000   F1 0.5344555915982506   accuracy 0.6696774193548387   precision 0.5300726405377568   recall 0.5445381909145665
deviation 2/5   iterations 790/2000   F1 0.52710281492597   accuracy 0.6541935483870968   precision 0.5277946169319971   recall 0.5473712018239655
deviation 2/5   iterations 800/2000   F1 0.4867363818976722   accuracy 0.5793548387096774   precision 0.5012350778335866   recall 0.5111698090114749
deviation 2/5   iterations 810/2000   F1 0.5065182511030886   accuracy 0.6477419354838709   precision 0.5156303932221906   recall 0.5306045027430987
deviation 2/5   iterations 820/2000   F1 0.5182263537866518   accuracy 0.6516129032258065   precision 0.5161966795660894   recall 0.5346656044102948
deviation 2/5   iterations 830/2000   F1 0.527034684434499   accuracy 0.6619354838709678   precision 0.5249871096985782   recall 0.5453945246672718
deviation 2/5   iterations 840/2000   F1 0.5053383179732026   accuracy 0.6064516129032258   precision 0.5156486873665549   recall 0.5250808350591726
deviation 2/5   iterations 850/2000   F1 0.5089701007547688   accuracy 0.6619354838709678   precision 0.5077495050939115   recall 0.5260231539818497
deviation 2/5   iterations 860/2000   F1 0.5052194725902656   accuracy 0.6270967741935484   precision 0.5088204685188179   recall 0.5310526728297825
deviation 2/5   iterations 870/2000   F1 0.5151384688155958   accuracy 0.6412903225806451   precision 0.5149808617538748   recall 0.5352591557025348
deviation 2/5   iterations 880/2000   F1 0.5114278219708349   accuracy 0.6245161290322581   precision 0.5099329734730157   recall 0.5308534588536827
deviation 2/5   iterations 890/2000   F1 0.5265346826322436   accuracy 0.6632258064516129   precision 0.5256574910733746   recall 0.5366228919520662
deviation 2/5   iterations 900/2000   F1 0.5369477292278414   accuracy 0.6683870967741935   precision 0.5327985732102197   recall 0.5465084048662862
deviation 2/5   iterations 910/2000   F1 0.52145305907173   accuracy 0.6425806451612903   precision 0.5172692743075867   recall 0.5345364221235342
deviation 2/5   iterations 920/2000   F1 0.4978146083808497   accuracy 0.632258064516129   precision 0.495493003489998   recall 0.5087029100294052
deviation 2/5   iterations 930/2000   F1 0.5150656684958973   accuracy 0.6309677419354839   precision 0.5156912521440823   recall 0.532642703066128
deviation 2/5   iterations 940/2000   F1 0.5068356508205599   accuracy 0.6606451612903226   precision 0.5091721739604254   recall 0.5235994521165687
deviation 2/5   iterations 950/2000   F1 0.5019369513638723   accuracy 0.6361290322580645   precision 0.5028176675369886   recall 0.5219093649222067
deviation 2/5   iterations 960/2000   F1 0.5273745445047711   accuracy 0.6464516129032258   precision 0.528819174547653   recall 0.5511435863980788
deviation 2/5   iterations 970/2000   F1 0.5385416815187235   accuracy 0.6541935483870968   precision 0.5382027509467328   recall 0.5631511576745486
deviation 2/5   iterations 980/2000   F1 0.5115403140858962   accuracy 0.6258064516129033   precision 0.5103746986392247   recall 0.5323475227680712
deviation 2/5   iterations 990/2000   F1 0.5043901335518276   accuracy 0.6167741935483871   precision 0.5069908858701963   recall 0.5291751526911722
deviation 2/5   iterations 1000/2000   F1 0.49946397513885216   accuracy 0.6012903225806452   precision 0.5028338097706326   recall 0.5262635197567086
deviation 2/5   iterations 1010/2000   F1 0.5154480711670032   accuracy 0.6412903225806451   precision 0.5162605889027526   recall 0.5335270167694807
deviation 2/5   iterations 1020/2000   F1 0.4980261633006054   accuracy 0.6490322580645161   precision 0.5065910285968531   recall 0.519910025641743
deviation 2/5   iterations 1030/2000   F1 0.48366033567950284   accuracy 0.5690322580645162   precision 0.5049841550789531   recall 0.5068847859263793
deviation 2/5   iterations 1040/2000   F1 0.49872937278455637   accuracy 0.6129032258064516   precision 0.5011755960574859   recall 0.5150390598474782
deviation 2/5   iterations 1050/2000   F1 0.49960349755347205   accuracy 0.6348387096774194   precision 0.49918691688337   recall 0.5168874546573446
deviation 2/5   iterations 1060/2000   F1 0.50175894742948   accuracy 0.6258064516129033   precision 0.5029337574136737   recall 0.5234325541653392
deviation 2/5   iterations 1070/2000   F1 0.49475932385243565   accuracy 0.6025806451612903   precision 0.49724415841036906   recall 0.5140276091753949
deviation 2/5   iterations 1080/2000   F1 0.5056414711675181   accuracy 0.6348387096774194   precision 0.5029871788492478   recall 0.5188102990434947
deviation 2/5   iterations 1090/2000   F1 0.4973871786737414   accuracy 0.6258064516129033   precision 0.4984126984126984   recall 0.5164404299487574
deviation 2/5   iterations 1100/2000   F1 0.49847895786373414   accuracy 0.6283870967741936   precision 0.495968653395554   recall 0.511824638031887
deviation 2/5   iterations 1110/2000   F1 0.5196832162102215   accuracy 0.6438709677419355   precision 0.5161423528755654   recall 0.5316365702209221
deviation 2/5   iterations 1120/2000   F1 0.5158616986837846   accuracy 0.6503225806451612   precision 0.5119978062343168   recall 0.5228422753819468
deviation 2/5   iterations 1130/2000   F1 0.5104896422964716   accuracy 0.6529032258064517   precision 0.5078468372842709   recall 0.5222389883758849
deviation 2/5   iterations 1140/2000   F1 0.5088898696198071   accuracy 0.6438709677419355   precision 0.5070835300401043   recall 0.520989462685136
deviation 2/5   iterations 1150/2000   F1 0.5288463295947977   accuracy 0.6696774193548387   precision 0.5251028253374516   recall 0.5374824982136192
deviation 2/5   iterations 1160/2000   F1 0.5536505393600774   accuracy 0.6864516129032258   precision 0.5487053361829713   recall 0.5632459786184089
deviation 2/5   iterations 1170/2000   F1 0.5271598688812013   accuracy 0.6490322580645161   precision 0.523270475601645   recall 0.5414585146507767
deviation 2/5   iterations 1180/2000   F1 0.49683277356774597   accuracy 0.5974193548387097   precision 0.5018767007017391   recall 0.5200491890804888
deviation 2/5   iterations 1190/2000   F1 0.499512495115009   accuracy 0.6193548387096774   precision 0.5019804880438407   recall 0.5217704469216246
deviation 2/5   iterations 1200/2000   F1 0.49810312771319065   accuracy 0.6335483870967742   precision 0.4965076284758436   recall 0.5110630434103207
deviation 2/5   iterations 1210/2000   F1 0.510276765202534   accuracy 0.6541935483870968   precision 0.5114669585355794   recall 0.5314641090046517
deviation 2/5   iterations 1220/2000   F1 0.5153967613175628   accuracy 0.6645161290322581   precision 0.520640944549863   recall 0.5326662651298311
deviation 2/5   iterations 1230/2000   F1 0.523173333194566   accuracy 0.6593548387096774   precision 0.5191922857848549   recall 0.5345482031553858
deviation 2/5   iterations 1240/2000   F1 0.5123395351174111   accuracy 0.6270967741935484   precision 0.5115826858534412   recall 0.5313705152516093
deviation 2/5   iterations 1250/2000   F1 0.48193361085108083   accuracy 0.6103225806451613   precision 0.48652153463683395   recall 0.5054163293937236
deviation 2/5   iterations 1260/2000   F1 0.4912325406520821   accuracy 0.607741935483871   precision 0.4930683906015974   recall 0.5104135322167861
deviation 2/5   iterations 1270/2000   F1 0.506597466376472   accuracy 0.6490322580645161   precision 0.5045070035456055   recall 0.5184321606461503
deviation 2/5   iterations 1280/2000   F1 0.49200250308188925   accuracy 0.6180645161290322   precision 0.4931392146039286   recall 0.5114249828888694
deviation 2/5   iterations 1290/2000   F1 0.5284982688988082   accuracy 0.6348387096774194   precision 0.5267221715558078   recall 0.5530319876286075
deviation 2/5   iterations 1300/2000   F1 0.5135083592875688   accuracy 0.6258064516129033   precision 0.5129450337050939   recall 0.529264655808155
deviation 2/5   iterations 1310/2000   F1 0.5108846135522082   accuracy 0.6361290322580645   precision 0.5076444729863031   recall 0.5239593462770875
deviation 2/5   iterations 1320/2000   F1 0.5187396683197355   accuracy 0.6567741935483871   precision 0.5148063920825713   recall 0.5279686604917697
deviation 2/5   iterations 1330/2000   F1 0.5142118424692453   accuracy 0.6567741935483871   precision 0.5159325916963545   recall 0.5251797466390925
deviation 2/5   iterations 1340/2000   F1 0.5107428800624118   accuracy 0.6593548387096774   precision 0.5105492978626148   recall 0.5221689566865455
deviation 2/5   iterations 1350/2000   F1 0.49965270387669847   accuracy 0.6516129032258065   precision 0.5009550812878362   recall 0.5050285370952786
deviation 2/5   iterations 1360/2000   F1 0.5082425392184164   accuracy 0.6567741935483871   precision 0.5317841371455668   recall 0.5258551106525235
deviation 2/5   iterations 1370/2000   F1 0.5209423255552483   accuracy 0.6696774193548387   precision 0.528054395347523   recall 0.5414950031244278
deviation 2/5   iterations 1380/2000   F1 0.5068407475641372   accuracy 0.6632258064516129   precision 0.5135849962818937   recall 0.525785078963184
deviation 2/5   iterations 1390/2000   F1 0.5087160321601925   accuracy 0.6438709677419355   precision 0.5069930180708223   recall 0.5235241026003519
deviation 2/5   iterations 1400/2000   F1 0.5096651160931046   accuracy 0.6374193548387097   precision 0.5072749042145593   recall 0.5253898417071108
deviation 2/5   iterations 1410/2000   F1 0.5070978058236995   accuracy 0.6258064516129033   precision 0.50524929899077   recall 0.5228207586362735
deviation 2/5   iterations 1420/2000   F1 0.4994390738751641   accuracy 0.6167741935483871   precision 0.4983988919443873   recall 0.5161841106932662
deviation 2/5   iterations 1430/2000   F1 0.5108371421097667   accuracy 0.6361290322580645   precision 0.5078216488125111   recall 0.5239593462770875
deviation 2/5   iterations 1440/2000   F1 0.5064635179698084   accuracy 0.6258064516129033   precision 0.5049649028924486   recall 0.5261578995336511
deviation 2/5   iterations 1450/2000   F1 0.5004984766680879   accuracy 0.632258064516129   precision 0.5020927232490716   recall 0.5215668150585803
deviation 2/5   iterations 1460/2000   F1 0.5108674106230411   accuracy 0.6296774193548387   precision 0.5097034544618765   recall 0.530028295747751
deviation 2/5   iterations 1470/2000   F1 0.5140381933076336   accuracy 0.632258064516129   precision 0.5132668442039937   recall 0.534875699478313
deviation 2/5   iterations 1480/2000   F1 0.5153583043542699   accuracy 0.6309677419354839   precision 0.5130229188701586   recall 0.5342477050304515
deviation 2/5   iterations 1490/2000   F1 0.5120262908846781   accuracy 0.6206451612903225   precision 0.5133367659353011   recall 0.5357073257892186
deviation 2/5   iterations 1500/2000   F1 0.5099190154692465   accuracy 0.6193548387096774   precision 0.5105711489186807   recall 0.5324175544574107
deviation 2/5   iterations 1510/2000   F1 0.5223744776975218   accuracy 0.6451612903225806   precision 0.5211192810457517   recall 0.5434598992492702
deviation 2/5   iterations 1520/2000   F1 0.5174807503574627   accuracy 0.6438709677419355   precision 0.5167159794965032   recall 0.5357762121004614
deviation 2/5   iterations 1530/2000   F1 0.5238316220602243   accuracy 0.68   precision 0.525442183939045   recall 0.5297696857360666
deviation 2/5   iterations 1540/2000   F1 0.5272152431949679   accuracy 0.6645161290322581   precision 0.5244444444444444   recall 0.5330476760360231
deviation 2/5   iterations 1550/2000   F1 0.5000522626653862   accuracy 0.6529032258064517   precision 0.5011493532275928   recall 0.5202525755053694
deviation 2/5   iterations 1560/2000   F1 0.49002153676551535   accuracy 0.6051612903225806   precision 0.4911664574112416   recall 0.5098964758188594
deviation 2/5   iterations 1570/2000   F1 0.49113120969397867   accuracy 0.6193548387096774   precision 0.4900994531650449   recall 0.5035829881245563
deviation 2/5   iterations 1580/2000   F1 0.5154511059672725   accuracy 0.655483870967742   precision 0.5117921646462419   recall 0.5254813901421235
deviation 2/5   iterations 1590/2000   F1 0.5223018114967267   accuracy 0.6812903225806451   precision 0.5281167134470607   recall 0.5295316107174011
deviation 2/5   iterations 1600/2000   F1 0.5272405943423742   accuracy 0.6735483870967742   precision 0.5294791648874694   recall 0.5308329238606638
deviation 2/5   iterations 1610/2000   F1 0.519603216003842   accuracy 0.6490322580645161   precision 0.5169758665234516   recall 0.5334096155145718
deviation 2/5   iterations 1620/2000   F1 0.5050706828311654   accuracy 0.632258064516129   precision 0.507967522334544   recall 0.5285589392751623
deviation 2/5   iterations 1630/2000   F1 0.49539622418055584   accuracy 0.6116129032258064   precision 0.4988965989951278   recall 0.5193532082613177
deviation 2/5   iterations 1640/2000   F1 0.49691019436552525   accuracy 0.6309677419354839   precision 0.4936752357021669   recall 0.5088138480793399
deviation 2/5   iterations 1650/2000   F1 0.5069004048897574   accuracy 0.6348387096774194   precision 0.5039028944911298   recall 0.5164027960970096
deviation 2/5   iterations 1660/2000   F1 0.512487668341478   accuracy 0.6464516129032258   precision 0.5114132966091179   recall 0.5249707969491709
deviation 2/5   iterations 1670/2000   F1 0.5249998937438131   accuracy 0.6658064516129032   precision 0.5234393144840905   recall 0.5327460325329922
deviation 2/5   iterations 1680/2000   F1 0.5195240831919428   accuracy 0.6451612903225806   precision 0.5156336838182618   recall 0.5297934932379332
deviation 2/5   iterations 1690/2000   F1 0.5131336390184345   accuracy 0.6503225806451612   precision 0.5096750922976265   recall 0.5235812078797432
deviation 2/5   iterations 1700/2000   F1 0.5284684856723877   accuracy 0.6619354838709678   precision 0.5243111767756944   recall 0.5351923965220431
deviation 2/5   iterations 1710/2000   F1 0.5312817140872209   accuracy 0.6683870967741935   precision 0.527271093384861   recall 0.5377841417166501
deviation 2/5   iterations 1720/2000   F1 0.5043556126242731   accuracy 0.6283870967741936   precision 0.5016416593115621   recall 0.5163456908176184
deviation 2/5   iterations 1730/2000   F1 0.49976859410784896   accuracy 0.6232258064516129   precision 0.49673522670572945   recall 0.5126498011378186
deviation 2/5   iterations 1740/2000   F1 0.5324617278105649   accuracy 0.6516129032258065   precision 0.5274166923279693   recall 0.5455669858835422
deviation 2/5   iterations 1750/2000   F1 0.49771941318626994   accuracy 0.6270967741935484   precision 0.4974036715422507   recall 0.5053884312557974
deviation 2/5   iterations 1760/2000   F1 0.5142250572126417   accuracy 0.6619354838709678   precision 0.5150890177584223   recall 0.5134135228901359
deviation 2/5   iterations 1770/2000   F1 0.5223439500037648   accuracy 0.6593548387096774   precision 0.5203768935275784   recall 0.5276832159075346
deviation 2/5   iterations 1780/2000   F1 0.5142565199478075   accuracy 0.6477419354838709   precision 0.5102808687999851   recall 0.5231912884505472
deviation 2/5   iterations 1790/2000   F1 0.5154129596125655   accuracy 0.6658064516129032   precision 0.5126828906631489   recall 0.5256267713476798
deviation 2/5   iterations 1800/2000   F1 0.5141823124675188   accuracy 0.6683870967741935   precision 0.5129671612042205   recall 0.5209474109464439
deviation 2/5   iterations 1810/2000   F1 0.5199657807022585   accuracy 0.6619354838709678   precision 0.519827009880539   recall 0.5297417057854193
deviation 2/5   iterations 1820/2000   F1 0.503897972534651   accuracy 0.6296774193548387   precision 0.5041997317134799   recall 0.5237751040289657
deviation 2/5   iterations 1830/2000   F1 0.5255493595336546   accuracy 0.6696774193548387   precision 0.5238056089928037   recall 0.5407560706266314
deviation 2/5   iterations 1840/2000   F1 0.5272358338374673   accuracy 0.655483870967742   precision 0.5388198958798024   recall 0.547999196271827
deviation 2/5   iterations 1850/2000   F1 0.5092176291295145   accuracy 0.632258064516129   precision 0.5293571016925699   recall 0.5354874950073787
deviation 2/5   iterations 1860/2000   F1 0.5228778925322212   accuracy 0.68   precision 0.5286148427700416   recall 0.5323043256512824
deviation 2/5   iterations 1870/2000   F1 0.530440970714527   accuracy 0.6903225806451613   precision 0.5427882767530922   recall 0.5387028985756241
deviation 2/5   iterations 1880/2000   F1 0.5217997433543285   accuracy 0.6490322580645161   precision 0.5181773706113552   recall 0.5343392534654642
deviation 2/5   iterations 1890/2000   F1 0.525488887686583   accuracy 0.6580645161290323   precision 0.5233306521448199   recall 0.5356523476405783
deviation 2/5   iterations 1900/2000   F1 0.5089255793994564   accuracy 0.655483870967742   precision 0.5132587110863549   recall 0.5209603373563921
deviation 2/5   iterations 1910/2000   F1 0.5230038750735564   accuracy 0.6709677419354839   precision 0.5223708709989198   recall 0.5293862295118448
deviation 2/5   iterations 1920/2000   F1 0.5206328343677741   accuracy 0.6516129032258065   precision 0.5166027887965804   recall 0.5297234615485937
deviation 2/5   iterations 1930/2000   F1 0.49985689699735864   accuracy 0.6180645161290322   precision 0.4996384274965255   recall 0.516875673625493
deviation 2/5   iterations 1940/2000   F1 0.5241953347049891   accuracy 0.6490322580645161   precision 0.5216382582033304   recall 0.5395356702646265
deviation 2/5   iterations 1950/2000   F1 0.5194021407957665   accuracy 0.6529032258064517   precision 0.5152622204471232   recall 0.5294218180455629
deviation 2/5   iterations 1960/2000   F1 0.514430465659162   accuracy 0.6658064516129032   precision 0.5123412286627235   recall 0.5170932136511398
deviation 2/5   iterations 1970/2000   F1 0.5103287176906809   accuracy 0.6477419354838709   precision 0.5066854662445575   recall 0.5170652337004925
deviation 2/5   iterations 1980/2000   F1 0.5063587429250535   accuracy 0.64   precision 0.5073840482863695   recall 0.5171826349554015
deviation 2/5   iterations 1990/2000   F1 0.533228431816365   accuracy 0.6645161290322581   precision 0.5303174603174603   recall 0.546038718033929
deviation 2/5   iterations 2000/2000   F1 0.4925366697318136   accuracy 0.6090322580645161   precision 0.5037039148973915   recall 0.5205047223120799

deviation 3/5   iterations 10/2000   F1 0.3403507552007395   accuracy 0.35271317829457366   precision 0.45147696009355914   recall 0.4294923648999125
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deviation 3/5   iterations 20/2000   F1 0.4541199369567403   accuracy 0.5839793281653747   precision 0.46242988090814174   recall 0.4608524703757166
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deviation 3/5   iterations 30/2000   F1 0.477595926756468   accuracy 0.6111111111111112   precision 0.4775940646528882   recall 0.48357662961945463
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deviation 3/5   iterations 40/2000   F1 0.46882201134324814   accuracy 0.5813953488372093   precision 0.4981993443357045   recall 0.48681310600155986
deviation 3/5   iterations 50/2000   F1 0.4479485482694947   accuracy 0.582687338501292   precision 0.5093949023809179   recall 0.48538738394410935
deviation 3/5   iterations 60/2000   F1 0.4881274175347506   accuracy 0.6046511627906976   precision 0.5194533012200405   recall 0.501813131826145
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deviation 3/5   iterations 70/2000   F1 0.49558303264898046   accuracy 0.6317829457364341   precision 0.5085091645129148   recall 0.4985304581306001
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deviation 3/5   iterations 80/2000   F1 0.5030086452521326   accuracy 0.6356589147286822   precision 0.515980950587919   recall 0.509459422567195
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deviation 3/5   iterations 90/2000   F1 0.5145217340388936   accuracy 0.627906976744186   precision 0.5288689826546075   recall 0.5307151467094683
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deviation 3/5   iterations 100/2000   F1 0.5290187526890767   accuracy 0.6524547803617571   precision 0.53537434257341   recall 0.5420850146982881
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deviation 3/5   iterations 110/2000   F1 0.5099611676096555   accuracy 0.6188630490956072   precision 0.5136464216733723   recall 0.5323060231376805
deviation 3/5   iterations 120/2000   F1 0.5039969518785633   accuracy 0.58656330749354   precision 0.5232143609933485   recall 0.5372756161233624
deviation 3/5   iterations 130/2000   F1 0.4691937185586917   accuracy 0.5219638242894057   precision 0.5446326448897182   recall 0.5430952888660211
deviation 3/5   iterations 140/2000   F1 0.4970334113916158   accuracy 0.5801033591731266   precision 0.5355332725990886   recall 0.5343536667918545
deviation 3/5   iterations 150/2000   F1 0.5050309760953136   accuracy 0.6136950904392765   precision 0.5230806991568278   recall 0.5249571660313409
deviation 3/5   iterations 160/2000   F1 0.49924281720348346   accuracy 0.6046511627906976   precision 0.5174691540954611   recall 0.5219033063585293
deviation 3/5   iterations 170/2000   F1 0.5194338482437401   accuracy 0.6188630490956072   precision 0.5355066857705202   recall 0.542495789567835
deviation 3/5   iterations 180/2000   F1 0.4982796467732296   accuracy 0.5801033591731266   precision 0.5280911428257163   recall 0.5324207580802872
deviation 3/5   iterations 190/2000   F1 0.5038359818292384   accuracy 0.5852713178294574   precision 0.5273350573861805   recall 0.5358537472579824
deviation 3/5   iterations 200/2000   F1 0.5008240755228707   accuracy 0.5788113695090439   precision 0.5286346272092367   recall 0.5369155476218058
deviation 3/5   iterations 210/2000   F1 0.4686269516033865   accuracy 0.5271317829457365   precision 0.5280001390844764   recall 0.5174523776203653
deviation 3/5   iterations 220/2000   F1 0.4796614150108702   accuracy 0.5529715762273901   precision 0.5154908574709883   recall 0.5241916925342928
deviation 3/5   iterations 230/2000   F1 0.4919716310973154   accuracy 0.5633074935400517   precision 0.5195403548879232   recall 0.5329226978345635
deviation 3/5   iterations 240/2000   F1 0.5009725103098597   accuracy 0.5930232558139535   precision 0.5147465775472444   recall 0.5291609985801397
deviation 3/5   iterations 250/2000   F1 0.481071798193112   accuracy 0.5516795865633075   precision 0.512015762015762   recall 0.5232271647745445
deviation 3/5   iterations 260/2000   F1 0.5175036385539148   accuracy 0.6291989664082688   precision 0.5199179794713576   recall 0.5371211605093067
deviation 3/5   iterations 270/2000   F1 0.4477913600399593   accuracy 0.5064599483204134   precision 0.5181471146405983   recall 0.49865056294726234
deviation 3/5   iterations 280/2000   F1 0.4931138153034856   accuracy 0.5981912144702842   precision 0.5063855588138398   recall 0.5083164182300584
deviation 3/5   iterations 290/2000   F1 0.5083297167984728   accuracy 0.6304909560723514   precision 0.5103899993539011   recall 0.5219113816653151
deviation 3/5   iterations 300/2000   F1 0.5135375159705583   accuracy 0.6136950904392765   precision 0.5210155659431357   recall 0.5368583646118249
deviation 3/5   iterations 310/2000   F1 0.488206896681473   accuracy 0.5788113695090439   precision 0.5032083071812873   recall 0.5156213325502336
deviation 3/5   iterations 320/2000   F1 0.5033165077010748   accuracy 0.6059431524547804   precision 0.509092394236466   recall 0.5255796615077344
deviation 3/5   iterations 330/2000   F1 0.5086225364483324   accuracy 0.6188630490956072   precision 0.5122752200724944   recall 0.526457246497469
deviation 3/5   iterations 340/2000   F1 0.5150625495249476   accuracy 0.6369509043927648   precision 0.5171442031894845   recall 0.5265125439028195
deviation 3/5   iterations 350/2000   F1 0.5072218948801789   accuracy 0.6059431524547804   precision 0.5241663854313489   recall 0.5303101106366219
deviation 3/5   iterations 360/2000   F1 0.5056942990318839   accuracy 0.6007751937984496   precision 0.5232749909206889   recall 0.531064516454319
deviation 3/5   iterations 370/2000   F1 0.4930904993279466   accuracy 0.5736434108527132   precision 0.5273146897787817   recall 0.5290915181486576
deviation 3/5   iterations 380/2000   F1 0.5030624543425936   accuracy 0.6059431524547804   precision 0.5107646918957321   recall 0.5249186751020419
deviation 3/5   iterations 390/2000   F1 0.5086832181466335   accuracy 0.5968992248062015   precision 0.5228466635770374   recall 0.5376318314328489
deviation 3/5   iterations 400/2000   F1 0.49738178853631004   accuracy 0.562015503875969   precision 0.5359530043652145   recall 0.5420121729715955
deviation 3/5   iterations 410/2000   F1 0.5051868802875474   accuracy 0.5981912144702842   precision 0.5196411590228492   recall 0.531339896713137
deviation 3/5   iterations 420/2000   F1 0.5197955574827898   accuracy 0.6201550387596899   precision 0.5294807563320055   recall 0.5430530267274619
deviation 3/5   iterations 430/2000   F1 0.5371461047787042   accuracy 0.6666666666666666   precision 0.5369100727441459   recall 0.5467747183706014
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deviation 3/5   iterations 440/2000   F1 0.5314888343702463   accuracy 0.6498708010335917   precision 0.5281631781599212   recall 0.5472766581248777
deviation 3/5   iterations 450/2000   F1 0.49509128843767947   accuracy 0.5762273901808785   precision 0.5352756219123623   recall 0.5340718098910456
deviation 3/5   iterations 460/2000   F1 0.5214588734186122   accuracy 0.624031007751938   precision 0.5323869992336312   recall 0.5453356741065246
deviation 3/5   iterations 470/2000   F1 0.5190201295370636   accuracy 0.6227390180878553   precision 0.5263528608265071   recall 0.5390475925788832
deviation 3/5   iterations 480/2000   F1 0.5027686295725501   accuracy 0.582687338501292   precision 0.5415919757124407   recall 0.5418599718848152
deviation 3/5   iterations 490/2000   F1 0.5390793017109115   accuracy 0.6395348837209303   precision 0.539167042845945   recall 0.5646882492972639
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deviation 3/5   iterations 500/2000   F1 0.5141893054928331   accuracy 0.6149870801033591   precision 0.5399672878380498   recall 0.5424854597337739
deviation 3/5   iterations 510/2000   F1 0.5204424851751831   accuracy 0.6253229974160207   precision 0.5336272167520136   recall 0.5434347796822657
deviation 3/5   iterations 520/2000   F1 0.4943987364783344   accuracy 0.5839793281653747   precision 0.5128779729118946   recall 0.5238526526235032
deviation 3/5   iterations 530/2000   F1 0.524577785617184   accuracy 0.6369509043927648   precision 0.5232325198408243   recall 0.5413470464339979
deviation 3/5   iterations 540/2000   F1 0.5302934617173297   accuracy 0.6472868217054264   precision 0.5309037326546211   recall 0.546162183805624
deviation 3/5   iterations 550/2000   F1 0.48323595311412815   accuracy 0.5813953488372093   precision 0.5136183926146819   recall 0.5104975708903309
deviation 3/5   iterations 560/2000   F1 0.5141544723613743   accuracy 0.6162790697674418   precision 0.5224360782625004   recall 0.5357183526472536
deviation 3/5   iterations 570/2000   F1 0.4776729579533037   accuracy 0.5581395348837209   precision 0.5120414087305256   recall 0.5164523513038833
deviation 3/5   iterations 580/2000   F1 0.5107514981002668   accuracy 0.6059431524547804   precision 0.5173637725210344   recall 0.5362946508102074
deviation 3/5   iterations 590/2000   F1 0.5330938431171842   accuracy 0.6266149870801033   precision 0.5390717534577184   recall 0.5622850461960837
deviation 3/5   iterations 600/2000   F1 0.5299993779041111   accuracy 0.6266149870801033   precision 0.537156387819036   recall 0.5570972559615645
deviation 3/5   iterations 610/2000   F1 0.52647573265717   accuracy 0.6356589147286822   precision 0.5369302398578449   recall 0.5454523766365716
deviation 3/5   iterations 620/2000   F1 0.5340456723960463   accuracy 0.648578811369509   precision 0.5305781062778517   recall 0.5526360793721494
deviation 3/5   iterations 630/2000   F1 0.5118930207384526   accuracy 0.6085271317829457   precision 0.5204475797037346   recall 0.5358835070180156
deviation 3/5   iterations 640/2000   F1 0.5304057481485018   accuracy 0.6679586563307494   precision 0.5261708984669137   recall 0.5392787431117019
deviation 3/5   iterations 650/2000   F1 0.5168499207280156   accuracy 0.627906976744186   precision 0.5313717025795678   recall 0.5369712139498014
deviation 3/5   iterations 660/2000   F1 0.5176892787512256   accuracy 0.6266149870801033   precision 0.5334266517357222   recall 0.5389399901407473
deviation 3/5   iterations 670/2000   F1 0.5446143466983321   accuracy 0.6795865633074936   precision 0.5404512605732118   recall 0.5525685665281075
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deviation 3/5   iterations 680/2000   F1 0.5226762825952791   accuracy 0.624031007751938   precision 0.5334524897213339   recall 0.5443352788673976
deviation 3/5   iterations 690/2000   F1 0.48921776605532213   accuracy 0.5697674418604651   precision 0.5157630266369521   recall 0.5215531987683887
deviation 3/5   iterations 700/2000   F1 0.5107010552944351   accuracy 0.6266149870801033   precision 0.5109715170584302   recall 0.5243591834151399
deviation 3/5   iterations 710/2000   F1 0.4236840369529164   accuracy 0.4909560723514212   precision 0.508176541309625   recall 0.4747711839276964
deviation 3/5   iterations 720/2000   F1 0.5275091696577922   accuracy 0.6847545219638242   precision 0.5344600665764125   recall 0.5392341444630572
deviation 3/5   iterations 730/2000   F1 0.5158234139189333   accuracy 0.6111111111111112   precision 0.5288106095151238   recall 0.5418641939995306
deviation 3/5   iterations 740/2000   F1 0.4853171702677672   accuracy 0.541343669250646   precision 0.5459784389273951   recall 0.5391131378354849
deviation 3/5   iterations 750/2000   F1 0.5242265594210168   accuracy 0.6291989664082688   precision 0.5263866169567121   recall 0.5427162413439475
deviation 3/5   iterations 760/2000   F1 0.5296144934565922   accuracy 0.6640826873385013   precision 0.5264461864819795   recall 0.5356062411545671
deviation 3/5   iterations 770/2000   F1 0.5069857010908624   accuracy 0.627906976744186   precision 0.5171313264836067   recall 0.5184745392955495
deviation 3/5   iterations 780/2000   F1 0.5221385050393054   accuracy 0.6227390180878553   precision 0.5304240221274559   recall 0.5427097647019569
deviation 3/5   iterations 790/2000   F1 0.5163272134621647   accuracy 0.6291989664082688   precision 0.5195607514022774   recall 0.5322048973415353
deviation 3/5   iterations 800/2000   F1 0.5292337349575006   accuracy 0.6472868217054264   precision 0.5246865854901935   recall 0.5448902614997492
deviation 3/5   iterations 810/2000   F1 0.5047181310497691   accuracy 0.5904392764857881   precision 0.5313433046436761   recall 0.5317086963839596
deviation 3/5   iterations 820/2000   F1 0.5203500203500203   accuracy 0.6498708010335917   precision 0.5173235579289507   recall 0.5270507200591195
deviation 3/5   iterations 830/2000   F1 0.5194733497317047   accuracy 0.648578811369509   precision 0.5273040669698768   recall 0.5373942862408496
deviation 3/5   iterations 840/2000   F1 0.5093426760093426   accuracy 0.6253229974160207   precision 0.5113209513717288   recall 0.5219369193106328
deviation 3/5   iterations 850/2000   F1 0.5304178970780072   accuracy 0.6382428940568475   precision 0.5295956364953844   recall 0.5499574960121512
deviation 3/5   iterations 860/2000   F1 0.5071027405698229   accuracy 0.6304909560723514   precision 0.5061243734843509   recall 0.5168593549641698
deviation 3/5   iterations 870/2000   F1 0.5013637318552883   accuracy 0.6136950904392765   precision 0.5020895636837666   recall 0.5198873080690187
deviation 3/5   iterations 880/2000   F1 0.5126063853301858   accuracy 0.6227390180878553   precision 0.5121823338417828   recall 0.528468366809784
deviation 3/5   iterations 890/2000   F1 0.5009453963529615   accuracy 0.6201550387596899   precision 0.5106065818140121   recall 0.5107222447811588
deviation 3/5   iterations 900/2000   F1 0.5184278300299343   accuracy 0.6421188630490956   precision 0.5188088992084351   recall 0.5275552832633159
deviation 3/5   iterations 910/2000   F1 0.5332392525330499   accuracy 0.6782945736434108   precision 0.5321665010381237   recall 0.5446191033556466
deviation 3/5   iterations 920/2000   F1 0.525518270420554   accuracy 0.6627906976744186   precision 0.5215209235209235   recall 0.5330482135166862
deviation 3/5   iterations 930/2000   F1 0.5145752358198384   accuracy 0.6459948320413437   precision 0.5116376821304033   recall 0.5241070862743641
deviation 3/5   iterations 940/2000   F1 0.5325945833764151   accuracy 0.6744186046511628   precision 0.529462362556061   recall 0.5375559563421861
deviation 3/5   iterations 950/2000   F1 0.5214721292288852   accuracy 0.6408268733850129   precision 0.5179101156121124   recall 0.5362374678002265
deviation 3/5   iterations 960/2000   F1 0.5096358134457483   accuracy 0.6188630490956072   precision 0.5130237719015774   recall 0.5255926147917157
deviation 3/5   iterations 970/2000   F1 0.5281909041968027   accuracy 0.6382428940568475   precision 0.5374922749000467   recall 0.540446547248866
deviation 3/5   iterations 980/2000   F1 0.5143500705800371   accuracy 0.6214470284237726   precision 0.52345041090813   recall 0.5307086700674776
deviation 3/5   iterations 990/2000   F1 0.5110713088654265   accuracy 0.6227390180878553   precision 0.5117539823837429   recall 0.5291293532154765
deviation 3/5   iterations 1000/2000   F1 0.5049684134039912   accuracy 0.6369509043927648   precision 0.5024066725455615   recall 0.5181878044175453
deviation 3/5   iterations 1010/2000   F1 0.5287486069509245   accuracy 0.6731266149870802   precision 0.5249812776924062   recall 0.5358625604100583
deviation 3/5   iterations 1020/2000   F1 0.524568536465117   accuracy 0.6459948320413437   precision 0.5203611295264374   recall 0.5389415888055424
deviation 3/5   iterations 1030/2000   F1 0.48852968356980025   accuracy 0.603359173126615   precision 0.5175338258587959   recall 0.5001876176607042
deviation 3/5   iterations 1040/2000   F1 0.5169860308569909   accuracy 0.6692506459948321   precision 0.5166422573318661   recall 0.5173555559217454
deviation 3/5   iterations 1050/2000   F1 0.5227507349550059   accuracy 0.6550387596899225   precision 0.5190085314755919   recall 0.5324166179483818
deviation 3/5   iterations 1060/2000   F1 0.5181928384828512   accuracy 0.6627906976744186   precision 0.5157612952372778   recall 0.522536869514274
deviation 3/5   iterations 1070/2000   F1 0.5408565222712286   accuracy 0.686046511627907   precision 0.5420411642918036   recall 0.5403344357561796
deviation 3/5   iterations 1080/2000   F1 0.5064899297773139   accuracy 0.6317829457364341   precision 0.5146154138959894   recall 0.5134328424284652
deviation 3/5   iterations 1090/2000   F1 0.5064997364976171   accuracy 0.6317829457364341   precision 0.5120396057371012   recall 0.5133649606617784
deviation 3/5   iterations 1100/2000   F1 0.5056759267987234   accuracy 0.648578811369509   precision 0.5048100854841021   recall 0.5080646900119277
deviation 3/5   iterations 1110/2000   F1 0.5065645082342538   accuracy 0.6524547803617571   precision 0.5049974170309015   recall 0.518518482081714
deviation 3/5   iterations 1120/2000   F1 0.5192160054905153   accuracy 0.6589147286821705   precision 0.5151838157448384   recall 0.5291041844928039
deviation 3/5   iterations 1130/2000   F1 0.5036885217391055   accuracy 0.6459948320413437   precision 0.5079736912240995   recall 0.5041526752753537
deviation 3/5   iterations 1140/2000   F1 0.5079733295706454   accuracy 0.6550387596899225   precision 0.5097157141522154   recall 0.5089357983596715
deviation 3/5   iterations 1150/2000   F1 0.489441081549488   accuracy 0.627906976744186   precision 0.5015136222458799   recall 0.4893307571055116
deviation 3/5   iterations 1160/2000   F1 0.5012716299286755   accuracy 0.6511627906976745   precision 0.5010453610850151   recall 0.5032625059242828
deviation 3/5   iterations 1170/2000   F1 0.5039231513325061   accuracy 0.6459948320413437   precision 0.5019003219003219   recall 0.5108660836213185
deviation 3/5   iterations 1180/2000   F1 0.501394554840043   accuracy 0.6511627906976745   precision 0.5019891516230189   recall 0.5016011242794634
deviation 3/5   iterations 1190/2000   F1 0.4999385973646652   accuracy 0.6524547803617571   precision 0.5016304989545373   recall 0.4988355981494512
deviation 3/5   iterations 1200/2000   F1 0.48516886930983844   accuracy 0.6343669250645995   precision 0.4818441570430833   recall 0.49484660155427934
deviation 3/5   iterations 1210/2000   F1 0.5078875405548086   accuracy 0.6395348837209303   precision 0.5071628517326013   recall 0.5145896608690883
deviation 3/5   iterations 1220/2000   F1 0.49831680905620995   accuracy 0.6149870801033591   precision 0.5091508499198988   recall 0.5060173332975888
deviation 3/5   iterations 1230/2000   F1 0.5045357773710913   accuracy 0.6421188630490956   precision 0.5045123001104943   recall 0.5089907268423771
deviation 3/5   iterations 1240/2000   F1 0.5153227497716825   accuracy 0.6589147286821705   precision 0.5120080581336787   recall 0.5204578674352719
deviation 3/5   iterations 1250/2000   F1 0.5079225382855745   accuracy 0.6447028423772609   precision 0.5070227860739503   recall 0.5146320049904576
deviation 3/5   iterations 1260/2000   F1 0.4929470086696474   accuracy 0.6111111111111112   precision 0.5107909347516738   recall 0.4970212775725611
deviation 3/5   iterations 1270/2000   F1 0.4914272541222317   accuracy 0.6395348837209303   precision 0.48829068869161657   recall 0.49775436785965593
deviation 3/5   iterations 1280/2000   F1 0.5136863603498423   accuracy 0.6421188630490956   precision 0.5102085330187519   recall 0.5262833609574412
deviation 3/5   iterations 1290/2000   F1 0.49458241517679724   accuracy 0.6149870801033591   precision 0.49372671057049783   recall 0.5042201881193954
deviation 3/5   iterations 1300/2000   F1 0.4922705657757233   accuracy 0.6227390180878553   precision 0.4951043409000398   recall 0.49686645303586036
deviation 3/5   iterations 1310/2000   F1 0.5141813227650227   accuracy 0.6563307493540051   precision 0.5109294957115681   recall 0.5190718660492705
deviation 3/5   iterations 1320/2000   F1 0.4918182076894618   accuracy 0.6369509043927648   precision 0.5016645525017619   recall 0.4915878668392568
deviation 3/5   iterations 1330/2000   F1 0.4912232311398517   accuracy 0.6214470284237726   precision 0.49801147681521235   recall 0.49551246593716725
deviation 3/5   iterations 1340/2000   F1 0.511744126629682   accuracy 0.6227390180878553   precision 0.5176132871845835   recall 0.5232126948085779
deviation 3/5   iterations 1350/2000   F1 0.49703663017336536   accuracy 0.6434108527131783   precision 0.4950757963661189   recall 0.5008337651777851
deviation 3/5   iterations 1360/2000   F1 0.5202715982781149   accuracy 0.6757105943152455   precision 0.5265264715189155   recall 0.5165652826246698
deviation 3/5   iterations 1370/2000   F1 0.5229736134042683   accuracy 0.6602067183462532   precision 0.5235135474391734   recall 0.5258134354904732
deviation 3/5   iterations 1380/2000   F1 0.5158788161598279   accuracy 0.6524547803617571   precision 0.515857333288526   recall 0.5198582861542757
deviation 3/5   iterations 1390/2000   F1 0.5195372014390188   accuracy 0.6731266149870802   precision 0.5230213503110918   recall 0.516840662883488
deviation 3/5   iterations 1400/2000   F1 0.49864014482322405   accuracy 0.6589147286821705   precision 0.502293809629419   recall 0.5096749963661119
deviation 3/5   iterations 1410/2000   F1 0.5248269777994199   accuracy 0.6718346253229974   precision 0.5294048927302067   recall 0.535898427889437
deviation 3/5   iterations 1420/2000   F1 0.5094239070815172   accuracy 0.665374677002584   precision 0.5081678420082444   recall 0.5116822634863567
deviation 3/5   iterations 1430/2000   F1 0.5060639493734836   accuracy 0.6744186046511628   precision 0.5144731914266593   recall 0.500902015867117
deviation 3/5   iterations 1440/2000   F1 0.5189517002382499   accuracy 0.6666666666666666   precision 0.5229847475362349   recall 0.5169699497748711
deviation 3/5   iterations 1450/2000   F1 0.4772862401457852   accuracy 0.5956072351421189   precision 0.5130846979235058   recall 0.4846536377945345
deviation 3/5   iterations 1460/2000   F1 0.49270435661413314   accuracy 0.6304909560723514   precision 0.49899666305916307   recall 0.49410740354783894
deviation 3/5   iterations 1470/2000   F1 0.49467869574710344   accuracy 0.6162790697674418   precision 0.4969036209272167   recall 0.5055062934514017
deviation 3/5   iterations 1480/2000   F1 0.48044797796016264   accuracy 0.5981912144702842   precision 0.4844806472825796   recall 0.48988762534249347
deviation 3/5   iterations 1490/2000   F1 0.46598432030879744   accuracy 0.5775193798449613   precision 0.4787906117196596   recall 0.47361182401996316
deviation 3/5   iterations 1500/2000   F1 0.5082853209624977   accuracy 0.6447028423772609   precision 0.5045975404683473   recall 0.5154966366962108
deviation 3/5   iterations 1510/2000   F1 0.5156844915231465   accuracy 0.6576227390180879   precision 0.512341046487388   recall 0.5214941301537777
deviation 3/5   iterations 1520/2000   F1 0.5194548419899705   accuracy 0.6627906976744186   precision 0.5185422095869857   recall 0.5242661329257804
deviation 3/5   iterations 1530/2000   F1 0.5122042167452289   accuracy 0.6640826873385013   precision 0.5151830896552331   recall 0.5102603946209766
deviation 3/5   iterations 1540/2000   F1 0.525308313428126   accuracy 0.665374677002584   precision 0.527461014534479   recall 0.5267882930842827
deviation 3/5   iterations 1550/2000   F1 0.485392956940563   accuracy 0.6266149870801033   precision 0.4923851633505281   recall 0.48511134782281123
deviation 3/5   iterations 1560/2000   F1 0.4913442888116742   accuracy 0.6098191214470284   precision 0.4945059810604686   recall 0.5031095669922122
deviation 3/5   iterations 1570/2000   F1 0.510955053336702   accuracy 0.6304909560723514   precision 0.5132814058537344   recall 0.5203178817871826
deviation 3/5   iterations 1580/2000   F1 0.4977656431360134   accuracy 0.6524547803617571   precision 0.4997296818012495   recall 0.4961738212655047
deviation 3/5   iterations 1590/2000   F1 0.5194290743687947   accuracy 0.6757105943152455   precision 0.5262230144583085   recall 0.5147681374464765
deviation 3/5   iterations 1600/2000   F1 0.5102110208631947   accuracy 0.6576227390180879   precision 0.515796582515662   recall 0.5086604181008535
deviation 3/5   iterations 1610/2000   F1 0.48855301039332555   accuracy 0.6291989664082688   precision 0.4893716517780391   recall 0.49068474420420477
deviation 3/5   iterations 1620/2000   F1 0.48902105942708274   accuracy 0.6201550387596899   precision 0.4861637085367523   recall 0.5029906099348901
deviation 3/5   iterations 1630/2000   F1 0.5175556417661681   accuracy 0.6679586563307494   precision 0.5157310754715038   recall 0.5200532002850706
deviation 3/5   iterations 1640/2000   F1 0.5083769935753114   accuracy 0.6459948320413437   precision 0.507268901148572   recall 0.5120022423938194
deviation 3/5   iterations 1650/2000   F1 0.5055007255756997   accuracy 0.6563307493540051   precision 0.5071677710406699   recall 0.5043731270514661
deviation 3/5   iterations 1660/2000   F1 0.5156761766347562   accuracy 0.6950904392764858   precision 0.5341269841269841   recall 0.5092603683044946
deviation 3/5   iterations 1670/2000   F1 0.5287897987804294   accuracy 0.6834625322997416   precision 0.5283140953047235   recall 0.5309631037183385
deviation 3/5   iterations 1680/2000   F1 0.5183155474459475   accuracy 0.6511627906976745   precision 0.5141432390612524   recall 0.5276758389854332
deviation 3/5   iterations 1690/2000   F1 0.49866321731703384   accuracy 0.6059431524547804   precision 0.5071472343170457   recall 0.5115419089156223
deviation 3/5   iterations 1700/2000   F1 0.5075778184489064   accuracy 0.6343669250645995   precision 0.5082050897172378   recall 0.5146151985144058
deviation 3/5   iterations 1710/2000   F1 0.5145091385198811   accuracy 0.6705426356589147   precision 0.518057868057868   recall 0.5119961346744737
deviation 3/5   iterations 1720/2000   F1 0.5060396034640156   accuracy 0.6640826873385013   precision 0.5159749670619236   recall 0.5006815640910046
deviation 3/5   iterations 1730/2000   F1 0.4981911047466749   accuracy 0.6498708010335917   precision 0.510998985998986   recall 0.49405895170712394
deviation 3/5   iterations 1740/2000   F1 0.48570281124497994   accuracy 0.6369509043927648   precision 0.512632600226138   recall 0.4812122863702184
deviation 3/5   iterations 1750/2000   F1 0.49406339149928885   accuracy 0.6627906976744186   precision 0.5089222430685845   recall 0.486883324278332
deviation 3/5   iterations 1760/2000   F1 0.4983412977700141   accuracy 0.6692506459948321   precision 0.5098615464994776   recall 0.49207759115484184
deviation 3/5   iterations 1770/2000   F1 0.5001098379388603   accuracy 0.6640826873385013   precision 0.5057347629526107   recall 0.49629052379555166
deviation 3/5   iterations 1780/2000   F1 0.5084189956930804   accuracy 0.6447028423772609   precision 0.5080888577562143   recall 0.5121738734065718
deviation 3/5   iterations 1790/2000   F1 0.5012988101223396   accuracy 0.6356589147286822   precision 0.506589781352668   recall 0.5039322234992412
deviation 3/5   iterations 1800/2000   F1 0.512992562992563   accuracy 0.6640826873385013   precision 0.521724677627693   recall 0.5086668947428441
deviation 3/5   iterations 1810/2000   F1 0.5230947305714939   accuracy 0.6640826873385013   precision 0.5201908957415565   recall 0.5276887922694146
deviation 3/5   iterations 1820/2000   F1 0.5229237668965641   accuracy 0.6808785529715762   precision 0.526998218677362   recall 0.5268474436817038
deviation 3/5   iterations 1830/2000   F1 0.4927239037227679   accuracy 0.6408268733850129   precision 0.4911210090526135   recall 0.49592135520208397
deviation 3/5   iterations 1840/2000   F1 0.5005578649975312   accuracy 0.6602067183462532   precision 0.503034412133411   recall 0.4985346802453155
deviation 3/5   iterations 1850/2000   F1 0.5055817171752172   accuracy 0.6524547803617571   precision 0.5029387536942714   recall 0.5108725602633091
deviation 3/5   iterations 1860/2000   F1 0.5058617118474399   accuracy 0.6434108527131783   precision 0.502109497976039   recall 0.5138711225307699
deviation 3/5   iterations 1870/2000   F1 0.49981083639770185   accuracy 0.6537467700258398   precision 0.5038521833707369   recall 0.49693470372519233
deviation 3/5   iterations 1880/2000   F1 0.5110775961760852   accuracy 0.6589147286821705   precision 0.5096827188122305   recall 0.5126761820834931
deviation 3/5   iterations 1890/2000   F1 0.4978748586433596   accuracy 0.6472868217054264   precision 0.501403602271159   recall 0.4970639906165755
deviation 3/5   iterations 1900/2000   F1 0.4957968598874662   accuracy 0.6382428940568475   precision 0.49671048921706545   recall 0.4974007760000898
deviation 3/5   iterations 1910/2000   F1 0.5017723635773823   accuracy 0.6472868217054264   precision 0.5037534162038262   recall 0.5013192673786545
deviation 3/5   iterations 1920/2000   F1 0.5361440542106707   accuracy 0.6976744186046512   precision 0.5451499526433484   recall 0.53333043934014
deviation 3/5   iterations 1930/2000   F1 0.49650620928757033   accuracy 0.6692506459948321   precision 0.5063181952731338   recall 0.49453572273872765
deviation 3/5   iterations 1940/2000   F1 0.5046852232210901   accuracy 0.661498708010336   precision 0.5049003105509016   recall 0.5044833529395224
deviation 3/5   iterations 1950/2000   F1 0.5025031147355307   accuracy 0.6589147286821705   precision 0.5067226392480918   recall 0.499706706497195
deviation 3/5   iterations 1960/2000   F1 0.4875623432416128   accuracy 0.6317829457364341   precision 0.4964404244764065   recall 0.4870866006557477
deviation 3/5   iterations 1970/2000   F1 0.5062703613062088   accuracy 0.6705426356589147   precision 0.520380625844321   recall 0.49902665908817573
deviation 3/5   iterations 1980/2000   F1 0.5110487047323131   accuracy 0.6795865633074936   precision 0.5311723194150796   recall 0.5021484005276742
deviation 3/5   iterations 1990/2000   F1 0.4899016531086977   accuracy 0.6459948320413437   precision 0.49643359827786054   recall 0.4866563958602288
deviation 3/5   iterations 2000/2000   F1 0.48560091831936497   accuracy 0.6227390180878553   precision 0.48935811663084383   recall 0.48828801774501523

deviation 4/5   iterations 10/2000   F1 0.3698351101195328   accuracy 0.3992248062015504   precision 0.45584136046563795   recall 0.43421445178217927
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deviation 4/5   iterations 20/2000   F1 0.43039435365384743   accuracy 0.5981912144702842   precision 0.4712809048496626   recall 0.452386884422848
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deviation 4/5   iterations 30/2000   F1 0.5045710284894934   accuracy 0.627906976744186   precision 0.5062335062335063   recall 0.514880248939163
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deviation 4/5   iterations 40/2000   F1 0.5205311144737704   accuracy 0.6291989664082688   precision 0.5253143109695166   recall 0.5401902279933748
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deviation 4/5   iterations 50/2000   F1 0.5112795407523968   accuracy 0.6149870801033591   precision 0.5314086278132778   recall 0.5461476318568476
deviation 4/5   iterations 60/2000   F1 0.5226618119871834   accuracy 0.6395348837209303   precision 0.5220909552845528   recall 0.5382741257578593
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deviation 4/5   iterations 70/2000   F1 0.5356959548178833   accuracy 0.6770025839793282   precision 0.5526966309092223   recall 0.556827696482257
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deviation 4/5   iterations 80/2000   F1 0.5472831926130918   accuracy 0.6795865633074936   precision 0.5442432042432043   recall 0.5551624616453671
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deviation 4/5   iterations 90/2000   F1 0.542202278191693   accuracy 0.6550387596899225   precision 0.5392666914406045   recall 0.5598990184936002
deviation 4/5   iterations 100/2000   F1 0.5130747227748372   accuracy 0.6227390180878553   precision 0.521823571719063   recall 0.5341313294111117
deviation 4/5   iterations 110/2000   F1 0.5063190127464803   accuracy 0.6059431524547804   precision 0.5289646464646465   recall 0.5385669683552092
deviation 4/5   iterations 120/2000   F1 0.49441332232478885   accuracy 0.5775193798449613   precision 0.5259793606476961   recall 0.5275762298712731
deviation 4/5   iterations 130/2000   F1 0.5173176216067701   accuracy 0.6214470284237726   precision 0.5261661323794837   recall 0.5394907506583834
deviation 4/5   iterations 140/2000   F1 0.501999880430758   accuracy 0.6098191214470284   precision 0.5193269599637302   recall 0.5256078226029722
deviation 4/5   iterations 150/2000   F1 0.5452510311486272   accuracy 0.6847545219638242   precision 0.547900407567414   recall 0.5433036071862524
deviation 4/5   iterations 160/2000   F1 0.5439197552298791   accuracy 0.6757105943152455   precision 0.5408858166922683   recall 0.5481671963985936
deviation 4/5   iterations 170/2000   F1 0.5326639461626576   accuracy 0.665374677002584   precision 0.5372041694778739   recall 0.5395040728650099
deviation 4/5   iterations 180/2000   F1 0.4971851073088971   accuracy 0.6111111111111112   precision 0.5169437427322667   recall 0.5157894792935607
deviation 4/5   iterations 190/2000   F1 0.5142982318885932   accuracy 0.6317829457364341   precision 0.5292397660818714   recall 0.5302681354378976
deviation 4/5   iterations 200/2000   F1 0.5181514734367196   accuracy 0.6072351421188631   precision 0.5301012515335571   recall 0.5482278636779997
deviation 4/5   iterations 210/2000   F1 0.5185877910902317   accuracy 0.6356589147286822   precision 0.520533058796614   recall 0.5385853734960561
deviation 4/5   iterations 220/2000   F1 0.5083805261532999   accuracy 0.6111111111111112   precision 0.5147209695363788   recall 0.53181019110275
deviation 4/5   iterations 230/2000   F1 0.5271698581378237   accuracy 0.6408268733850129   precision 0.5274643917612556   recall 0.544290680218753
deviation 4/5   iterations 240/2000   F1 0.5132042041541399   accuracy 0.6214470284237726   precision 0.5190372625779324   recall 0.5312338929397962
deviation 4/5   iterations 250/2000   F1 0.5280479768407261   accuracy 0.6511627906976745   precision 0.5292062946036115   recall 0.5393912235270334
deviation 4/5   iterations 260/2000   F1 0.5361554776050601   accuracy 0.6821705426356589   precision 0.5340950989155238   recall 0.5492920005519083
deviation 4/5   iterations 270/2000   F1 0.5185364009543604   accuracy 0.624031007751938   precision 0.5227645164141196   recall 0.5378755663270037
deviation 4/5   iterations 280/2000   F1 0.503886598172223   accuracy 0.6059431524547804   precision 0.5192400192400193   recall 0.526919465580296
deviation 4/5   iterations 290/2000   F1 0.5053667408841399   accuracy 0.6124031007751938   precision 0.517119436092051   recall 0.521330861387646
deviation 4/5   iterations 300/2000   F1 0.4872146734891833   accuracy 0.5943152454780362   precision 0.5128211219358211   recall 0.508577615462745
deviation 4/5   iterations 310/2000   F1 0.5117475622378383   accuracy 0.6085271317829457   precision 0.5188170582162677   recall 0.5366123751903947
deviation 4/5   iterations 320/2000   F1 0.5130581966493448   accuracy 0.6369509043927648   precision 0.511834417465283   recall 0.5287670301866445
deviation 4/5   iterations 330/2000   F1 0.4995654511593597   accuracy 0.6162790697674418   precision 0.5064425504113087   recall 0.5110334925193555
deviation 4/5   iterations 340/2000   F1 0.5017372851906203   accuracy 0.6136950904392765   precision 0.5084130795052487   recall 0.513106017956367
deviation 4/5   iterations 350/2000   F1 0.4886982797335107   accuracy 0.5697674418604651   precision 0.5107491754940687   recall 0.5242149756523351
deviation 4/5   iterations 360/2000   F1 0.5105026500685071   accuracy 0.6059431524547804   precision 0.5176689363805927   recall 0.5352263738043934
deviation 4/5   iterations 370/2000   F1 0.5221605936893258   accuracy 0.665374677002584   precision 0.5188044791703329   recall 0.5291785429014815
deviation 4/5   iterations 380/2000   F1 0.5275877899232211   accuracy 0.6434108527131783   precision 0.5252234844301886   recall 0.5446762863656275
deviation 4/5   iterations 390/2000   F1 0.5190643839415969   accuracy 0.6459948320413437   precision 0.5227855682404813   recall 0.525311126813552
deviation 4/5   iterations 400/2000   F1 0.49374085331532136   accuracy 0.5839793281653747   precision 0.5129388253643589   recall 0.5203262440338036
deviation 4/5   iterations 410/2000   F1 0.5176379816085986   accuracy 0.6188630490956072   precision 0.5219150858175249   recall 0.5412238672619601
deviation 4/5   iterations 420/2000   F1 0.4866023748864546   accuracy 0.5813953488372093   precision 0.5037254472195878   recall 0.5156675298636731
deviation 4/5   iterations 430/2000   F1 0.48364943089609697   accuracy 0.5633074935400517   precision 0.5112868914007563   recall 0.5116284827629912
deviation 4/5   iterations 440/2000   F1 0.4889646750607228   accuracy 0.5904392764857881   precision 0.5039321735971316   recall 0.5042262958387411
deviation 4/5   iterations 450/2000   F1 0.5107641941787117   accuracy 0.6369509043927648   precision 0.5107661985710766   recall 0.5202564766624863
deviation 4/5   iterations 460/2000   F1 0.5039697595626836   accuracy 0.6136950904392765   precision 0.5119638186905088   recall 0.5202267169024534
deviation 4/5   iterations 470/2000   F1 0.5068516397267829   accuracy 0.6459948320413437   precision 0.5065265155907227   recall 0.5237676774409296
deviation 4/5   iterations 480/2000   F1 0.5007316364382297   accuracy 0.5930232558139535   precision 0.5167075007180163   recall 0.5269065122963147
deviation 4/5   iterations 490/2000   F1 0.5111798758308836   accuracy 0.6447028423772609   precision 0.5084841717131708   recall 0.5232783220479896
deviation 4/5   iterations 500/2000   F1 0.5059818449070396   accuracy 0.6214470284237726   precision 0.5070309699681407   recall 0.5200615625316914
deviation 4/5   iterations 510/2000   F1 0.510014584989234   accuracy 0.6356589147286822   precision 0.5105633404575346   recall 0.5188346077971063
deviation 4/5   iterations 520/2000   F1 0.5036365893434414   accuracy 0.6136950904392765   precision 0.5063873004871099   recall 0.5192942034300132
deviation 4/5   iterations 530/2000   F1 0.5014633032695709   accuracy 0.6162790697674418   precision 0.5047726034858387   recall 0.517018032692941
deviation 4/5   iterations 540/2000   F1 0.49929694024756416   accuracy 0.627906976744186   precision 0.4989266123594482   recall 0.5108107862159678
deviation 4/5   iterations 550/2000   F1 0.5059200150791311   accuracy 0.6072351421188631   precision 0.5084217286886058   recall 0.5289344390846816
deviation 4/5   iterations 560/2000   F1 0.5029741932645443   accuracy 0.6111111111111112   precision 0.5090335090335091   recall 0.518840715516452
deviation 4/5   iterations 570/2000   F1 0.5357852893838828   accuracy 0.6576227390180879   precision 0.5308622264175525   recall 0.5471793855208028
deviation 4/5   iterations 580/2000   F1 0.5235744200530489   accuracy 0.6343669250645995   precision 0.5260119996962103   recall 0.5401646903480573
deviation 4/5   iterations 590/2000   F1 0.49948384948384944   accuracy 0.6085271317829457   precision 0.501676113055839   recall 0.518115700536143
deviation 4/5   iterations 600/2000   F1 0.504045978821664   accuracy 0.6304909560723514   precision 0.5017395530191008   recall 0.5149943280192896
deviation 4/5   iterations 610/2000   F1 0.5022749516417426   accuracy 0.6369509043927648   precision 0.5070838736738827   recall 0.5172552909451053
deviation 4/5   iterations 620/2000   F1 0.48229419001013407   accuracy 0.5930232558139535   precision 0.4880167157680259   recall 0.5017464798016081
deviation 4/5   iterations 630/2000   F1 0.4988761592748951   accuracy 0.624031007751938   precision 0.49915350709470774   recall 0.5088675476703396
deviation 4/5   iterations 640/2000   F1 0.510091543321199   accuracy 0.6253229974160207   precision 0.5171216165791211   recall 0.5258027367337671
deviation 4/5   iterations 650/2000   F1 0.5279555151752243   accuracy 0.665374677002584   precision 0.5249926578560941   recall 0.532840715024555
deviation 4/5   iterations 660/2000   F1 0.5149569942448652   accuracy 0.6589147286821705   precision 0.5129165779496995   recall 0.5179318540846992
deviation 4/5   iterations 670/2000   F1 0.5135400604284585   accuracy 0.6382428940568475   precision 0.5102893927689451   recall 0.5252726358842531
deviation 4/5   iterations 680/2000   F1 0.5150505943609393   accuracy 0.6395348837209303   precision 0.5167679364337462   recall 0.5318144132174654
deviation 4/5   iterations 690/2000   F1 0.4756397529286381   accuracy 0.5542635658914729   precision 0.5008118474799833   recall 0.5126941363188849
deviation 4/5   iterations 700/2000   F1 0.5154207008978989   accuracy 0.648578811369509   precision 0.5156189625407224   recall 0.5288158509500045
deviation 4/5   iterations 710/2000   F1 0.5118609593199758   accuracy 0.6498708010335917   precision 0.5081006577637609   recall 0.5241852978751121
deviation 4/5   iterations 720/2000   F1 0.5040595079153157   accuracy 0.6085271317829457   precision 0.5123979956068879   recall 0.5219136361925903
deviation 4/5   iterations 730/2000   F1 0.4984318608675122   accuracy 0.6434108527131783   precision 0.4955208884824566   recall 0.5068183053513705
deviation 4/5   iterations 740/2000   F1 0.47594436704414206   accuracy 0.5723514211886305   precision 0.5051430985055607   recall 0.5039173026278196
deviation 4/5   iterations 750/2000   F1 0.524086785776658   accuracy 0.6602067183462532   precision 0.5199553500205499   recall 0.532526843836438
deviation 4/5   iterations 760/2000   F1 0.5184186894031798   accuracy 0.6511627906976745   precision 0.5193574728458449   recall 0.5336603791590186
deviation 4/5   iterations 770/2000   F1 0.496523943892365   accuracy 0.5981912144702842   precision 0.5017660601440559   recall 0.5180988940600914
deviation 4/5   iterations 780/2000   F1 0.5213393846512168   accuracy 0.6421188630490956   precision 0.5184102825342256   recall 0.5360658367874741
deviation 4/5   iterations 790/2000   F1 0.5232805694340863   accuracy 0.6266149870801033   precision 0.523691142155703   recall 0.5455855167200252
deviation 4/5   iterations 800/2000   F1 0.5230417658677949   accuracy 0.6537467700258398   precision 0.5191832463955438   recall 0.5309947490830017
deviation 4/5   iterations 810/2000   F1 0.5086577411741924   accuracy 0.6459948320413437   precision 0.5081964524985242   recall 0.5204449141512906
deviation 4/5   iterations 820/2000   F1 0.5325072859956581   accuracy 0.6692506459948321   precision 0.5313011100671609   recall 0.5368526258151244
deviation 4/5   iterations 830/2000   F1 0.507311840082605   accuracy 0.6317829457364341   precision 0.5049402894797632   recall 0.5183491055962368
deviation 4/5   iterations 840/2000   F1 0.5145687292549043   accuracy 0.6434108527131783   precision 0.5109572005516154   recall 0.5245182300665561
deviation 4/5   iterations 850/2000   F1 0.49787724154201474   accuracy 0.6046511627906976   precision 0.5040708469281044   recall 0.5136464486399421
deviation 4/5   iterations 860/2000   F1 0.5185640240627349   accuracy 0.6447028423772609   precision 0.5159448011416778   recall 0.5272799030044978
deviation 4/5   iterations 870/2000   F1 0.5227922480408534   accuracy 0.6627906976744186   precision 0.520403697415582   recall 0.5278604232821671
deviation 4/5   iterations 880/2000   F1 0.5258418115303479   accuracy 0.627906976744186   precision 0.5234268465610808   recall 0.5489402942969724
deviation 4/5   iterations 890/2000   F1 0.5152666502754473   accuracy 0.6550387596899225   precision 0.5151181968114349   recall 0.5244312872965423
deviation 4/5   iterations 900/2000   F1 0.5410033196369292   accuracy 0.6770025839793282   precision 0.5409257919820639   recall 0.5427398933846349
deviation 4/5   iterations 910/2000   F1 0.5122424319916398   accuracy 0.6395348837209303   precision 0.5099869177067032   recall 0.5241006096323735
deviation 4/5   iterations 920/2000   F1 0.523576439466238   accuracy 0.6511627906976745   precision 0.5208796894737037   recall 0.5324741698810077
deviation 4/5   iterations 930/2000   F1 0.5058048351831338   accuracy 0.624031007751938   precision 0.5051050767719659   recall 0.5187179052670594
deviation 4/5   iterations 940/2000   F1 0.49606228261877217   accuracy 0.6175710594315246   precision 0.4952308251544893   recall 0.5089289527950358
deviation 4/5   iterations 950/2000   F1 0.5186729964110796   accuracy 0.6576227390180879   precision 0.5168813632061554   recall 0.5276144338607369
deviation 4/5   iterations 960/2000   F1 0.5300551254984752   accuracy 0.6589147286821705   precision 0.5348886774073807   recall 0.5439386870239823
deviation 4/5   iterations 970/2000   F1 0.5032024171534113   accuracy 0.6589147286821705   precision 0.5107636240359352   recall 0.514930668367318
deviation 4/5   iterations 980/2000   F1 0.5159557791136739   accuracy 0.6201550387596899   precision 0.5178676523771637   recall 0.534270946136556
deviation 4/5   iterations 990/2000   F1 0.47767747287900836   accuracy 0.5788113695090439   precision 0.48771194141300134   recall 0.5020409210637532
deviation 4/5   iterations 1000/2000   F1 0.5083205200846517   accuracy 0.6291989664082688   precision 0.5061915911809844   recall 0.5221508944447546
deviation 4/5   iterations 1010/2000   F1 0.5049338673223368   accuracy 0.6149870801033591   precision 0.5102983436316769   recall 0.522988389840395
deviation 4/5   iterations 1020/2000   F1 0.5059624627563558   accuracy 0.6524547803617571   precision 0.5117597164461657   recall 0.5051595471564713
deviation 4/5   iterations 1030/2000   F1 0.515815771903753   accuracy 0.6576227390180879   precision 0.5136486809611934   recall 0.5198327485089581
deviation 4/5   iterations 1040/2000   F1 0.5209547662416515   accuracy 0.6563307493540051   precision 0.5191750081393546   recall 0.5287185783459296
deviation 4/5   iterations 1050/2000   F1 0.5087368171291325   accuracy 0.6382428940568475   precision 0.5061515409931887   recall 0.5182877004715405
deviation 4/5   iterations 1060/2000   F1 0.5095853172985813   accuracy 0.6498708010335917   precision 0.5059843094325852   recall 0.5173361259957735
deviation 4/5   iterations 1070/2000   F1 0.515645464221722   accuracy 0.6382428940568475   precision 0.5134786117836966   recall 0.5271376628291333
deviation 4/5   iterations 1080/2000   F1 0.5212249623012638   accuracy 0.661498708010336   precision 0.5201336687132575   recall 0.5288288042339858
deviation 4/5   iterations 1090/2000   F1 0.5157335967108619   accuracy 0.6447028423772609   precision 0.5134826829923673   recall 0.5276693623434426
deviation 4/5   iterations 1100/2000   F1 0.5192426617886342   accuracy 0.6408268733850129   precision 0.5146362714389682   recall 0.5285915459818216
deviation 4/5   iterations 1110/2000   F1 0.5113036800819099   accuracy 0.6434108527131783   precision 0.5079231640521963   recall 0.5168044264814643
deviation 4/5   iterations 1120/2000   F1 0.5300586579357774   accuracy 0.6498708010335917   precision 0.5273248145764257   recall 0.5415636450180399
deviation 4/5   iterations 1130/2000   F1 0.5138133885857862   accuracy 0.6343669250645995   precision 0.5103755257549181   recall 0.5267200423949507
deviation 4/5   iterations 1140/2000   F1 0.5018687031471635   accuracy 0.6576227390180879   precision 0.501721595517216   recall 0.5108470226179915
deviation 4/5   iterations 1150/2000   F1 0.4922103422008998   accuracy 0.6162790697674418   precision 0.4897508247458397   recall 0.5029802801008291
deviation 4/5   iterations 1160/2000   F1 0.4858121794719576   accuracy 0.6020671834625323   precision 0.4865758540377852   recall 0.4990194446008949
deviation 4/5   iterations 1170/2000   F1 0.4908551344417804   accuracy 0.6111111111111112   precision 0.4903277395744034   recall 0.5029379359794598
deviation 4/5   iterations 1180/2000   F1 0.500114312080822   accuracy 0.627906976744186   precision 0.5004760858419396   recall 0.5142693130389806
deviation 4/5   iterations 1190/2000   F1 0.5054920662366684   accuracy 0.627906976744186   precision 0.5032491806351884   recall 0.5171347352229879
deviation 4/5   iterations 1200/2000   F1 0.4994886727193082   accuracy 0.6214470284237726   precision 0.4966542675045155   recall 0.5102790867016586
deviation 4/5   iterations 1210/2000   F1 0.48999064124224584   accuracy 0.6214470284237726   precision 0.488122401966878   recall 0.4971059658152998
deviation 4/5   iterations 1220/2000   F1 0.515964991721206   accuracy 0.6408268733850129   precision 0.5157120304906239   recall 0.5273875054426338
deviation 4/5   iterations 1230/2000   F1 0.4968818782098312   accuracy 0.6162790697674418   precision 0.4940997015585277   recall 0.508371715635409
deviation 4/5   iterations 1240/2000   F1 0.4947693547228935   accuracy 0.6356589147286822   precision 0.4930147292808338   recall 0.5018635512543
deviation 4/5   iterations 1250/2000   F1 0.4936368559952931   accuracy 0.6111111111111112   precision 0.4921278367231323   recall 0.5064643445691593
deviation 4/5   iterations 1260/2000   F1 0.5020210899093273   accuracy 0.6356589147286822   precision 0.4991551922882395   recall 0.5082553820280071
deviation 4/5   iterations 1270/2000   F1 0.49787119073994823   accuracy 0.6356589147286822   precision 0.5041545097910656   recall 0.5172911584244839
deviation 4/5   iterations 1280/2000   F1 0.5084826902055165   accuracy 0.6369509043927648   precision 0.505036582629335   recall 0.5175946997785398
deviation 4/5   iterations 1290/2000   F1 0.5073239697770361   accuracy 0.6563307493540051   precision 0.5123303491748136   recall 0.5036442588790867
deviation 4/5   iterations 1300/2000   F1 0.49141761556798585   accuracy 0.6201550387596899   precision 0.49090167173513394   recall 0.4982101103004924
deviation 4/5   iterations 1310/2000   F1 0.512733501916959   accuracy 0.6434108527131783   precision 0.512791532495966   recall 0.5196698486654715
deviation 4/5   iterations 1320/2000   F1 0.4964503407803565   accuracy 0.648578811369509   precision 0.49969926295940076   recall 0.4942984644865634
deviation 4/5   iterations 1330/2000   F1 0.5085193630145003   accuracy 0.6524547803617571   precision 0.5092673650081058   recall 0.5086180739794841
deviation 4/5   iterations 1340/2000   F1 0.5037411905832958   accuracy 0.6524547803617571   precision 0.5021911844534729   recall 0.5125339419081286
deviation 4/5   iterations 1350/2000   F1 0.4870798388702318   accuracy 0.6330749354005168   precision 0.48484988992041983   recall 0.49183123281076674
deviation 4/5   iterations 1360/2000   F1 0.48797266170253173   accuracy 0.6291989664082688   precision 0.48625812236321214   recall 0.49168513944333175
deviation 4/5   iterations 1370/2000   F1 0.4946532401616772   accuracy 0.6421188630490956   precision 0.49379271182630724   recall 0.5000728827180975
deviation 4/5   iterations 1380/2000   F1 0.5026942908905095   accuracy 0.6511627906976745   precision 0.5170189768743699   recall 0.5134344410932604
deviation 4/5   iterations 1390/2000   F1 0.5094058915910605   accuracy 0.6705426356589147   precision 0.5221610919285338   recall 0.5125892393134792
deviation 4/5   iterations 1400/2000   F1 0.5070619273263004   accuracy 0.6718346253229974   precision 0.5180627646557291   recall 0.5021777913650621
deviation 4/5   iterations 1410/2000   F1 0.4989715714217314   accuracy 0.6382428940568475   precision 0.5000756820065408   recall 0.5058434477575611
deviation 4/5   iterations 1420/2000   F1 0.4969687657814748   accuracy 0.6369509043927648   precision 0.4983744639887984   recall 0.5085410921208863
deviation 4/5   iterations 1430/2000   F1 0.4915658232489915   accuracy 0.6111111111111112   precision 0.4913885881991484   recall 0.5022769495737672
deviation 4/5   iterations 1440/2000   F1 0.49012820381364475   accuracy 0.599483204134367   precision 0.49333870342301617   recall 0.5066191691058602
deviation 4/5   iterations 1450/2000   F1 0.5015690622181664   accuracy 0.6214470284237726   precision 0.4997377908882334   recall 0.5145343634637376
deviation 4/5   iterations 1460/2000   F1 0.5031054131054131   accuracy 0.6382428940568475   precision 0.5005470569183047   recall 0.506979606530062
deviation 4/5   iterations 1470/2000   F1 0.49918670909570406   accuracy 0.6291989664082688   precision 0.49997212931995544   recall 0.513165168553788
deviation 4/5   iterations 1480/2000   F1 0.496470712800108   accuracy 0.6330749354005168   precision 0.4936643268092367   recall 0.5015458268741128
deviation 4/5   iterations 1490/2000   F1 0.48917834256253023   accuracy 0.6356589147286822   precision 0.49129485296886183   recall 0.4931493524300812
deviation 4/5   iterations 1500/2000   F1 0.4956365817188659   accuracy 0.648578811369509   precision 0.5004325951003903   recall 0.5034021226497271
deviation 4/5   iterations 1510/2000   F1 0.5188136459005074   accuracy 0.6602067183462532   precision 0.5164139735712316   recall 0.5238805267789061
deviation 4/5   iterations 1520/2000   F1 0.515328058551685   accuracy 0.648578811369509   precision 0.5137895413624439   recall 0.519644311020154
deviation 4/5   iterations 1530/2000   F1 0.4994460371782694   accuracy 0.648578811369509   precision 0.5026833593139814   recall 0.49775699130957624
deviation 4/5   iterations 1540/2000   F1 0.5053011512775744   accuracy 0.6330749354005168   precision 0.5055869622320439   recall 0.5124644614766466
deviation 4/5   iterations 1550/2000   F1 0.49545112263467755   accuracy 0.6227390180878553   precision 0.49780382324337474   recall 0.5024615338705011
deviation 4/5   iterations 1560/2000   F1 0.5021194908850183   accuracy 0.6162790697674418   precision 0.5006951533423577   recall 0.5155602963481823
deviation 4/5   iterations 1570/2000   F1 0.5018828515348889   accuracy 0.6511627906976745   precision 0.4997061014502875   recall 0.5083824143921151
deviation 4/5   iterations 1580/2000   F1 0.48828635059815245   accuracy 0.6537467700258398   precision 0.4939463443229652   recall 0.48469409631127364
deviation 4/5   iterations 1590/2000   F1 0.5145642075600466   accuracy 0.6757105943152455   precision 0.5426375239298743   recall 0.5026632935659316
deviation 4/5   iterations 1600/2000   F1 0.5045273022098699   accuracy 0.6382428940568475   precision 0.5010100077929535   recall 0.5128962649369605
deviation 4/5   iterations 1610/2000   F1 0.4937875830825182   accuracy 0.6304909560723514   precision 0.4942391499270431   recall 0.5076699837731424
deviation 4/5   iterations 1620/2000   F1 0.5092918575677197   accuracy 0.6550387596899225   precision 0.5088440970793912   recall 0.5098683118321117
deviation 4/5   iterations 1630/2000   F1 0.4973926977048726   accuracy 0.6498708010335917   precision 0.4993055555555556   recall 0.497381714996763
deviation 4/5   iterations 1640/2000   F1 0.4927014200740003   accuracy 0.6343669250645995   precision 0.49085178834857907   recall 0.49691527379922035
deviation 4/5   iterations 1650/2000   F1 0.4982953735930471   accuracy 0.6408268733850129   precision 0.4985995345626371   recall 0.5037709223205497
deviation 4/5   iterations 1660/2000   F1 0.48585596012831883   accuracy 0.6227390180878553   precision 0.48382311243787485   recall 0.4924754127404074
deviation 4/5   iterations 1670/2000   F1 0.501302395442233   accuracy 0.6291989664082688   precision 0.4985986018466275   recall 0.5124363003814086
deviation 4/5   iterations 1680/2000   F1 0.49172928079505523   accuracy 0.6589147286821705   precision 0.5021695715323166   recall 0.4890595989614089
deviation 4/5   iterations 1690/2000   F1 0.4948220713858218   accuracy 0.6472868217054264   precision 0.49808471460118886   recall 0.49260506855443564
deviation 4/5   iterations 1700/2000   F1 0.49159772860603645   accuracy 0.6537467700258398   precision 0.495936691373464   recall 0.49067863648485915
deviation 4/5   iterations 1710/2000   F1 0.4985071963204386   accuracy 0.648578811369509   precision 0.49754345544859485   recall 0.5026732544773477
deviation 4/5   iterations 1720/2000   F1 0.49746606732011606   accuracy 0.627906976744186   precision 0.4941582751096074   recall 0.504029496103316
deviation 4/5   iterations 1730/2000   F1 0.5066377669736751   accuracy 0.6330749354005168   precision 0.5035753157981149   recall 0.5172449611110442
deviation 4/5   iterations 1740/2000   F1 0.5084259002841113   accuracy 0.6602067183462532   precision 0.5101382162517747   recall 0.5123687875373667
deviation 4/5   iterations 1750/2000   F1 0.5081359774723176   accuracy 0.6640826873385013   precision 0.5183713671250622   recall 0.50666610426459
deviation 4/5   iterations 1760/2000   F1 0.4850938857125004   accuracy 0.6149870801033591   precision 0.4826366214045517   recall 0.4927084488778562
deviation 4/5   iterations 1770/2000   F1 0.48148434605124724   accuracy 0.5904392764857881   precision 0.4904759203697899   recall 0.4947832288421428
deviation 4/5   iterations 1780/2000   F1 0.503305359115986   accuracy 0.6576227390180879   precision 0.5070684281842819   recall 0.5008108509823878
deviation 4/5   iterations 1790/2000   F1 0.513571373209721   accuracy 0.661498708010336   precision 0.5173140897691796   recall 0.5108073019465424
deviation 4/5   iterations 1800/2000   F1 0.5081789589947073   accuracy 0.6524547803617571   precision 0.5164979377577802   recall 0.5070245741013516
deviation 4/5   iterations 1810/2000   F1 0.48040384327380287   accuracy 0.6124031007751938   precision 0.48044023909458583   recall 0.48527002555158233
deviation 4/5   iterations 1820/2000   F1 0.4859396969163481   accuracy 0.6459948320413437   precision 0.4899293734111387   recall 0.4831299872705291
deviation 4/5   iterations 1830/2000   F1 0.5033445880275834   accuracy 0.6563307493540051   precision 0.5089344694664232   recall 0.5000499685227001
deviation 4/5   iterations 1840/2000   F1 0.47994786064008027   accuracy 0.6149870801033591   precision 0.4783019945348321   recall 0.48904627675478257
deviation 4/5   iterations 1850/2000   F1 0.4887587264655881   accuracy 0.58656330749354   precision 0.4947249484070057   recall 0.5133196241678437
deviation 4/5   iterations 1860/2000   F1 0.4903443724577296   accuracy 0.6072351421188631   precision 0.5012826727248886   recall 0.5152182640648274
deviation 4/5   iterations 1870/2000   F1 0.5027699244152238   accuracy 0.6550387596899225   precision 0.5064586115636175   recall 0.5086642712929238
deviation 4/5   iterations 1880/2000   F1 0.5121066159420758   accuracy 0.6589147286821705   precision 0.5132206119162641   recall 0.5118794321444268
deviation 4/5   iterations 1890/2000   F1 0.49167665078947626   accuracy 0.6382428940568475   precision 0.4941152868990952   recall 0.4987906305781616
deviation 4/5   iterations 1900/2000   F1 0.5141319993006576   accuracy 0.6524547803617571   precision 0.515586210955925   recall 0.5162639957978891
deviation 4/5   iterations 1910/2000   F1 0.5047219715371377   accuracy 0.648578811369509   precision 0.5033081575634767   recall 0.5064033083671081
deviation 4/5   iterations 1920/2000   F1 0.47522632453280944   accuracy 0.6072351421188631   precision 0.4763732383161406   recall 0.4801077729623808
deviation 4/5   iterations 1930/2000   F1 0.4759928087021345   accuracy 0.6266149870801033   precision 0.48160476967236954   recall 0.4746678855870859
deviation 4/5   iterations 1940/2000   F1 0.4981237038614088   accuracy 0.6382428940568475   precision 0.4969306795467278   recall 0.5009271845897896
deviation 4/5   iterations 1950/2000   F1 0.4789736494687757   accuracy 0.6072351421188631   precision 0.47927636292508846   recall 0.4851597996635261
deviation 4/5   iterations 1960/2000   F1 0.48763046210684546   accuracy 0.6511627906976745   precision 0.48927514258898275   recall 0.48836012162641756
deviation 4/5   iterations 1970/2000   F1 0.4894443901962699   accuracy 0.6434108527131783   precision 0.49256420417010033   recall 0.48706753965242083
deviation 4/5   iterations 1980/2000   F1 0.4823629770717341   accuracy 0.6227390180878553   precision 0.48053035467982513   recall 0.48549047732769485
deviation 4/5   iterations 1990/2000   F1 0.4781432335780161   accuracy 0.6175710594315246   precision 0.4849807964422883   recall 0.4813965017443072
deviation 4/5   iterations 2000/2000   F1 0.46709664964285086   accuracy 0.6072351421188631   precision 0.48102809992997814   recall 0.4715972194382226

deviation 5/5   iterations 10/2000   F1 0.4153396837698251   accuracy 0.537467700258398   precision 0.4894514365381631   recall 0.4607572883332969
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deviation 5/5   iterations 20/2000   F1 0.4777168732366439   accuracy 0.5930232558139535   precision 0.49364456690380193   recall 0.5099532870146853
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deviation 5/5   iterations 30/2000   F1 0.49163357326052787   accuracy 0.6304909560723514   precision 0.4934878777595812   recall 0.4951756805536529
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deviation 5/5   iterations 40/2000   F1 0.5254492080200841   accuracy 0.6459948320413437   precision 0.5214893444820452   recall 0.5390773523389163
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deviation 5/5   iterations 50/2000   F1 0.5124815400026851   accuracy 0.6576227390180879   precision 0.5123905691896565   recall 0.5139160901020596
deviation 5/5   iterations 60/2000   F1 0.5351887055144128   accuracy 0.6692506459948321   precision 0.5327660844902224   recall 0.5384461256932569
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deviation 5/5   iterations 70/2000   F1 0.5653696871778118   accuracy 0.665374677002584   precision 0.5582350349232015   recall 0.5909246341045702
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deviation 5/5   iterations 80/2000   F1 0.5542124351188961   accuracy 0.665374677002584   precision 0.5487398661102901   recall 0.5722921959169446
deviation 5/5   iterations 90/2000   F1 0.5333885843768806   accuracy 0.6214470284237726   precision 0.5497577852311757   recall 0.5738902048496275
deviation 5/5   iterations 100/2000   F1 0.5576441102756892   accuracy 0.6627906976744186   precision 0.5562534824854406   recall 0.5836219743116703
deviation 5/5   iterations 110/2000   F1 0.5428339603349562   accuracy 0.6421188630490956   precision 0.551573788159856   recall 0.5708046998121529
deviation 5/5   iterations 120/2000   F1 0.5688618393422443   accuracy 0.6847545219638242   precision 0.5618836410018152   recall 0.5810258246671355
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deviation 5/5   iterations 130/2000   F1 0.54825813402854   accuracy 0.6382428940568475   precision 0.5604775200458191   recall 0.5863577406816494
deviation 5/5   iterations 140/2000   F1 0.5621561806174253   accuracy 0.6576227390180879   precision 0.5632636697552146   recall 0.5956844740708457
deviation 5/5   iterations 150/2000   F1 0.5606121298285304   accuracy 0.6795865633074936   precision 0.5611295498993568   recall 0.575795690311247
deviation 5/5   iterations 160/2000   F1 0.5350027356115508   accuracy 0.6421188630490956   precision 0.5521828850492393   recall 0.5559023155142876
deviation 5/5   iterations 170/2000   F1 0.5828459876982576   accuracy 0.6886304909560723   precision 0.5771121827044455   recall 0.6018051467004502
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deviation 5/5   iterations 180/2000   F1 0.5315073922224013   accuracy 0.6175710594315246   precision 0.5695641710108256   recall 0.5764737701328261
deviation 5/5   iterations 190/2000   F1 0.5739298704009816   accuracy 0.6989664082687338   precision 0.5700713262021964   recall 0.5839862649279425
deviation 5/5   iterations 200/2000   F1 0.5354739419430338   accuracy 0.627906976744186   precision 0.5411486823765813   recall 0.5682337188902905
deviation 5/5   iterations 210/2000   F1 0.5472119630172414   accuracy 0.6395348837209303   precision 0.5501077648434095   recall 0.5806589106009429
deviation 5/5   iterations 220/2000   F1 0.5641079584875502   accuracy 0.6770025839793282   precision 0.5613818729424354   recall 0.581462506104645
deviation 5/5   iterations 230/2000   F1 0.5606619045996085   accuracy 0.6537467700258398   precision 0.5589581281611206   recall 0.5935375902251567
deviation 5/5   iterations 240/2000   F1 0.5513902165662611   accuracy 0.6602067183462532   precision 0.548778641540418   recall 0.5715209836231958
deviation 5/5   iterations 250/2000   F1 0.53652130071965   accuracy 0.6434108527131783   precision 0.5390598197849484   recall 0.560121724796988
deviation 5/5   iterations 260/2000   F1 0.5362108332272969   accuracy 0.627906976744186   precision 0.5511536445304234   recall 0.5765584583755646
deviation 5/5   iterations 270/2000   F1 0.5674057469529611   accuracy 0.6795865633074936   precision 0.5604264782836211   recall 0.583373730362965
deviation 5/5   iterations 280/2000   F1 0.5443733745494365   accuracy 0.6472868217054264   precision 0.5502981092854758   recall 0.5727799526450893
deviation 5/5   iterations 290/2000   F1 0.5607462305136725   accuracy 0.6705426356589147   precision 0.5560966452439321   recall 0.5797267660511479
deviation 5/5   iterations 300/2000   F1 0.5703436187404771   accuracy 0.6731266149870802   precision 0.5647640333354236   recall 0.5963367293072723
deviation 5/5   iterations 310/2000   F1 0.5711541644846537   accuracy 0.6782945736434108   precision 0.5643841215647616   recall 0.5931920736723765
deviation 5/5   iterations 320/2000   F1 0.5557760141093474   accuracy 0.648578811369509   precision 0.5600471193273472   recall 0.5908334692198408
deviation 5/5   iterations 330/2000   F1 0.5886323299341342   accuracy 0.689922480620155   precision 0.5904429604362343   recall 0.6088042651392941
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deviation 5/5   iterations 340/2000   F1 0.5561060980413219   accuracy 0.6537467700258398   precision 0.5514065187724143   recall 0.5836872326284369
deviation 5/5   iterations 350/2000   F1 0.5518019824854473   accuracy 0.6537467700258398   precision 0.54857811623042   recall 0.5758376655099712
deviation 5/5   iterations 360/2000   F1 0.5630103035366193   accuracy 0.6692506459948321   precision 0.562275311971939   recall 0.5872049100488708
deviation 5/5   iterations 370/2000   F1 0.5510875663174427   accuracy 0.6602067183462532   precision 0.5491519419199785   recall 0.5753010880184665
deviation 5/5   iterations 380/2000   F1 0.5720398195217719   accuracy 0.665374677002584   precision 0.5648370148370149   recall 0.6021648462793618
deviation 5/5   iterations 390/2000   F1 0.5672451756362661   accuracy 0.6808785529715762   precision 0.5599906870313313   recall 0.5832020993502125
deviation 5/5   iterations 400/2000   F1 0.5302054259471362   accuracy 0.627906976744186   precision 0.5386042233382158   recall 0.5588585336603792
deviation 5/5   iterations 410/2000   F1 0.52487766882216   accuracy 0.627906976744186   precision 0.528744181664804   recall 0.5470073855854052
deviation 5/5   iterations 420/2000   F1 0.5505732572619148   accuracy 0.6498708010335917   precision 0.5474559908760067   recall 0.578217585493109
deviation 5/5   iterations 430/2000   F1 0.5576716737893794   accuracy 0.6576227390180879   precision 0.5571831690885817   recall 0.5832402213568663
deviation 5/5   iterations 440/2000   F1 0.5538909029130736   accuracy 0.6498708010335917   precision 0.5492550913684595   recall 0.5824728622551881
deviation 5/5   iterations 450/2000   F1 0.5268155831551492   accuracy 0.6214470284237726   precision 0.5354217086500551   recall 0.5533927397171216
deviation 5/5   iterations 460/2000   F1 0.5633220051742039   accuracy 0.6963824289405685   precision 0.5619300133333976   recall 0.5745470511234145
deviation 5/5   iterations 470/2000   F1 0.5529054960633908   accuracy 0.6627906976744186   precision 0.5482166493997097   recall 0.5742968395872691
deviation 5/5   iterations 480/2000   F1 0.5458724412695608   accuracy 0.665374677002584   precision 0.5420337995337996   recall 0.563238588259291
deviation 5/5   iterations 490/2000   F1 0.5516166145200847   accuracy 0.6640826873385013   precision 0.5487173320506654   recall 0.5730569315687025
deviation 5/5   iterations 500/2000   F1 0.521653466129223   accuracy 0.6162790697674418   precision 0.5299733460270878   recall 0.5479589600611723
deviation 5/5   iterations 510/2000   F1 0.5461842864050915   accuracy 0.6627906976744186   precision 0.551647463108955   recall 0.5635139685181091
deviation 5/5   iterations 520/2000   F1 0.5441364507423733   accuracy 0.6434108527131783   precision 0.5442420492877871   recall 0.5694969100268994
deviation 5/5   iterations 530/2000   F1 0.566234691733516   accuracy 0.6925064599483204   precision 0.5635793847723479   recall 0.5769269711065523
deviation 5/5   iterations 540/2000   F1 0.5652669930636134   accuracy 0.665374677002584   precision 0.5602387789593335   recall 0.5909246341045702
deviation 5/5   iterations 550/2000   F1 0.541265375410069   accuracy 0.6459948320413437   precision 0.5394236358946521   recall 0.5660166987506393
deviation 5/5   iterations 560/2000   F1 0.539147964189355   accuracy 0.6563307493540051   precision 0.5342248769914445   recall 0.5526066885347615
deviation 5/5   iterations 570/2000   F1 0.5413761831291949   accuracy 0.6563307493540051   precision 0.5390326757004043   recall 0.558455465174973
deviation 5/5   iterations 580/2000   F1 0.542044350561958   accuracy 0.6679586563307494   precision 0.5412407726808702   recall 0.5549778773486332
deviation 5/5   iterations 590/2000   F1 0.545832288914634   accuracy 0.661498708010336   precision 0.5435489245183426   recall 0.5606343633079703
deviation 5/5   iterations 600/2000   F1 0.5336490588949605   accuracy 0.665374677002584   precision 0.5299894656100234   recall 0.5424195455545272
deviation 5/5   iterations 610/2000   F1 0.5386508443786143   accuracy 0.689922480620155   precision 0.5402222091760355   recall 0.5372256476006624
deviation 5/5   iterations 620/2000   F1 0.5553303624711347   accuracy 0.6976744186046512   precision 0.5580424772655675   recall 0.5544888908783384
deviation 5/5   iterations 630/2000   F1 0.5401326223808588   accuracy 0.6627906976744186   precision 0.5384528137868895   recall 0.5491546383537392
deviation 5/5   iterations 640/2000   F1 0.5316007100277643   accuracy 0.6524547803617571   precision 0.5269115503935239   recall 0.546729750799312
deviation 5/5   iterations 650/2000   F1 0.5549723572018196   accuracy 0.661498708010336   precision 0.5481022818484119   recall 0.5746042341333953
deviation 5/5   iterations 660/2000   F1 0.5452749984840216   accuracy 0.6795865633074936   precision 0.5432142740245341   recall 0.5533653164671738
deviation 5/5   iterations 670/2000   F1 0.5320873817351166   accuracy 0.6937984496124031   precision 0.5430880323143751   recall 0.5397619907852961
deviation 5/5   iterations 680/2000   F1 0.5502902908439024   accuracy 0.6498708010335917   precision 0.5441687213340757   recall 0.5746232951367224
deviation 5/5   iterations 690/2000   F1 0.5423711390566909   accuracy 0.6627906976744186   precision 0.5410174995090623   recall 0.5534777968825053
deviation 5/5   iterations 700/2000   F1 0.5265181572128913   accuracy 0.648578811369509   precision 0.5283120629630699   recall 0.5436503534811828
deviation 5/5   iterations 710/2000   F1 0.5456876377858874   accuracy 0.6666666666666666   precision 0.5403537712242905   recall 0.5605409438959658
deviation 5/5   iterations 720/2000   F1 0.5516643802358089   accuracy 0.6912144702842378   precision 0.5500221818398984   recall 0.5603990726432463
deviation 5/5   iterations 730/2000   F1 0.5395601555008723   accuracy 0.6731266149870802   precision 0.5358843226226738   recall 0.5482389313573508
deviation 5/5   iterations 740/2000   F1 0.541434853872759   accuracy 0.6744186046511628   precision 0.5372185142410156   recall 0.5497965637561048
deviation 5/5   iterations 750/2000   F1 0.5448100325246924   accuracy 0.689922480620155   precision 0.5468680557583071   recall 0.5467365963639477
deviation 5/5   iterations 760/2000   F1 0.5354941269981454   accuracy 0.6666666666666666   precision 0.5307661837073602   recall 0.5456385595981006
deviation 5/5   iterations 770/2000   F1 0.5444069877519717   accuracy 0.6679586563307494   precision 0.5414391913772895   recall 0.558504285938333
deviation 5/5   iterations 780/2000   F1 0.5226275218094462   accuracy 0.6666666666666666   precision 0.5282262951075382   recall 0.5348556885289406
deviation 5/5   iterations 790/2000   F1 0.5395221669737049   accuracy 0.6498708010335917   precision 0.5350072073588675   recall 0.5561266204824705
deviation 5/5   iterations 800/2000   F1 0.5300229212460662   accuracy 0.6770025839793282   precision 0.5288385864031863   recall 0.5353476673718008
deviation 5/5   iterations 810/2000   F1 0.5318348458765916   accuracy 0.6291989664082688   precision 0.5299454658305437   recall 0.5574149803417519
deviation 5/5   iterations 820/2000   F1 0.523384495716383   accuracy 0.6563307493540051   precision 0.5196043295878546   recall 0.5305836052908098
deviation 5/5   iterations 830/2000   F1 0.5366056876973908   accuracy 0.6602067183462532   precision 0.5315026458509658   recall 0.5475649916676771
deviation 5/5   iterations 840/2000   F1 0.5153426377387371   accuracy 0.6266149870801033   precision 0.5192281764869245   recall 0.5287502237105928
deviation 5/5   iterations 850/2000   F1 0.5351468454916731   accuracy 0.6602067183462532   precision 0.5490679310344156   recall 0.553210123007828
deviation 5/5   iterations 860/2000   F1 0.5314152879638593   accuracy 0.6304909560723514   precision 0.5308697214284521   recall 0.5594978356128244
deviation 5/5   iterations 870/2000   F1 0.50223238679858   accuracy 0.6059431524547804   precision 0.5037826963256392   recall 0.5245792662686073
deviation 5/5   iterations 880/2000   F1 0.5446226036816965   accuracy 0.6744186046511628   precision 0.5421388880406122   recall 0.5541197222848707
deviation 5/5   iterations 890/2000   F1 0.540675105485232   accuracy 0.6808785529715762   precision 0.540041224859166   recall 0.5428181049853829
deviation 5/5   iterations 900/2000   F1 0.546026558084268   accuracy 0.6795865633074936   precision 0.5434639211332474   recall 0.5492458032384685
deviation 5/5   iterations 910/2000   F1 0.5423554542886848   accuracy 0.6770025839793282   precision 0.5406369638525562   recall 0.550250051669666
deviation 5/5   iterations 920/2000   F1 0.5343707884677396   accuracy 0.6550387596899225   precision 0.529702997201163   recall 0.5456576206014275
deviation 5/5   iterations 930/2000   F1 0.5310264909236643   accuracy 0.6524547803617571   precision 0.5285282817540882   recall 0.5409488559257872
deviation 5/5   iterations 940/2000   F1 0.5319975106360615   accuracy 0.6666666666666666   precision 0.5299790966626153   recall 0.5361954926015023
deviation 5/5   iterations 950/2000   F1 0.5458305563381106   accuracy 0.6795865633074936   precision 0.5433033686819825   recall 0.5559592115844334
deviation 5/5   iterations 960/2000   F1 0.5219843194864615   accuracy 0.6576227390180879   precision 0.5206807081807082   recall 0.5353282374458289
deviation 5/5   iterations 970/2000   F1 0.5021338552865954   accuracy 0.5904392764857881   precision 0.5219501813065105   recall 0.5281144060275729
deviation 5/5   iterations 980/2000   F1 0.5190829771660338   accuracy 0.6369509043927648   precision 0.51996380455944   recall 0.5316324523706518
deviation 5/5   iterations 990/2000   F1 0.5063573969375068   accuracy 0.6317829457364341   precision 0.5042342256535527   recall 0.5164840786513566
deviation 5/5   iterations 1000/2000   F1 0.512941570044012   accuracy 0.6550387596899225   precision 0.5122147145112859   recall 0.526889418880428
deviation 5/5   iterations 1010/2000   F1 0.524548542374666   accuracy 0.686046511627907   precision 0.5244098287263069   recall 0.531280828098526
deviation 5/5   iterations 1020/2000   F1 0.49421336173037544   accuracy 0.6253229974160207   precision 0.4954185419486146   recall 0.49925284966098876
deviation 5/5   iterations 1030/2000   F1 0.5241635256157359   accuracy 0.6782945736434108   precision 0.5216317822487984   recall 0.528987850885402
deviation 5/5   iterations 1040/2000   F1 0.531131937942476   accuracy 0.6408268733850129   precision 0.5280513855458686   recall 0.548749602280893
deviation 5/5   iterations 1050/2000   F1 0.5329597894273316   accuracy 0.6640826873385013   precision 0.5283566962138391   recall 0.5407940313890864
deviation 5/5   iterations 1060/2000   F1 0.5270801123200447   accuracy 0.6821705426356589   precision 0.5434337658141758   recall 0.5387127747828091
deviation 5/5   iterations 1070/2000   F1 0.5019884959764113   accuracy 0.6369509043927648   precision 0.5013631763858344   recall 0.5054219741313081
deviation 5/5   iterations 1080/2000   F1 0.5258516761087004   accuracy 0.6692506459948321   precision 0.5253494435307283   recall 0.5270022682184045
deviation 5/5   iterations 1090/2000   F1 0.5349035171799795   accuracy 0.6589147286821705   precision 0.5302294432055502   recall 0.5433455823849767
deviation 5/5   iterations 1100/2000   F1 0.5495899254867695   accuracy 0.6886304909560723   precision 0.5554714091595147   recall 0.5580805577848048
deviation 5/5   iterations 1110/2000   F1 0.5363207202302686   accuracy 0.6963824289405685   precision 0.5536416102326375   recall 0.5377573471149716
deviation 5/5   iterations 1120/2000   F1 0.5353777577055486   accuracy 0.6770025839793282   precision 0.5355200031640881   recall 0.5356191944385484
deviation 5/5   iterations 1130/2000   F1 0.5294156804215454   accuracy 0.6537467700258398   precision 0.5320845055693393   recall 0.5365219481509557
deviation 5/5   iterations 1140/2000   F1 0.5159782448646635   accuracy 0.6421188630490956   precision 0.5164386388523711   recall 0.5222996112621098
deviation 5/5   iterations 1150/2000   F1 0.5337609169063229   accuracy 0.6731266149870802   precision 0.5314928340436135   recall 0.5369987191825593
deviation 5/5   iterations 1160/2000   F1 0.5260077093765936   accuracy 0.661498708010336   precision 0.528268106162843   recall 0.5273710678892272
deviation 5/5   iterations 1170/2000   F1 0.5150846405177886   accuracy 0.6472868217054264   precision 0.5124886987951411   recall 0.5205448102052858
deviation 5/5   iterations 1180/2000   F1 0.520439400421363   accuracy 0.6589147286821705   precision 0.5275135314461902   recall 0.5307655661376234
deviation 5/5   iterations 1190/2000   F1 0.5216954340822966   accuracy 0.6718346253229974   precision 0.5369151396548657   recall 0.5306427558882308
deviation 5/5   iterations 1200/2000   F1 0.5326576509524306   accuracy 0.6744186046511628   precision 0.5320334739955184   recall 0.5426079830433315
deviation 5/5   iterations 1210/2000   F1 0.5331467709247875   accuracy 0.6692506459948321   precision 0.5315177244214201   recall 0.5442270205667815
deviation 5/5   iterations 1220/2000   F1 0.524124177461811   accuracy 0.6679586563307494   precision 0.5245316110315746   recall 0.5237832541748312
deviation 5/5   iterations 1230/2000   F1 0.5247950266533792   accuracy 0.6576227390180879   precision 0.522278379769669   recall 0.5295473425723042
deviation 5/5   iterations 1240/2000   F1 0.5308305183667814   accuracy 0.6498708010335917   precision 0.5261342563272424   recall 0.5430213813627986
deviation 5/5   iterations 1250/2000   F1 0.5266152498586805   accuracy 0.6511627906976745   precision 0.5250187358198076   recall 0.5390518146935986
deviation 5/5   iterations 1260/2000   F1 0.5211064638387496   accuracy 0.6576227390180879   precision 0.5226520201039712   recall 0.5369896190906482
deviation 5/5   iterations 1270/2000   F1 0.527579076078409   accuracy 0.665374677002584   precision 0.5296339841890689   recall 0.5403508733095862
deviation 5/5   iterations 1280/2000   F1 0.520133733900159   accuracy 0.6421188630490956   precision 0.5167111444043885   recall 0.535065441548347
deviation 5/5   iterations 1290/2000   F1 0.5329552211248131   accuracy 0.6912144702842378   precision 0.544602260051999   recall 0.534985344342969
deviation 5/5   iterations 1300/2000   F1 0.5214592883820143   accuracy 0.6744186046511628   precision 0.5408993271661906   recall 0.5336901389190517
deviation 5/5   iterations 1310/2000   F1 0.5391003309926121   accuracy 0.6912144702842378   precision 0.5462293984441199   recall 0.5471580699902007
deviation 5/5   iterations 1320/2000   F1 0.5227320417477159   accuracy 0.6472868217054264   precision 0.5194555280620966   recall 0.5377695625536628
deviation 5/5   iterations 1330/2000   F1 0.5251476285539786   accuracy 0.6498708010335917   precision 0.5210313420337287   recall 0.5366974323557785
deviation 5/5   iterations 1340/2000   F1 0.531796012864276   accuracy 0.665374677002584   precision 0.5289727444337098   recall 0.5355024919085016
deviation 5/5   iterations 1350/2000   F1 0.5139258273999924   accuracy 0.6421188630490956   precision 0.5108795974656338   recall 0.5230284794344892
deviation 5/5   iterations 1360/2000   F1 0.5031291101609608   accuracy 0.6059431524547804   precision 0.5105935667624028   recall 0.5233251752239094
deviation 5/5   iterations 1370/2000   F1 0.5348079333480794   accuracy 0.6640826873385013   precision 0.5344148766708775   recall 0.5385395451052614
deviation 5/5   iterations 1380/2000   F1 0.5389196516946265   accuracy 0.686046511627907   precision 0.5462237885983652   recall 0.5335531456435277
deviation 5/5   iterations 1390/2000   F1 0.5379378832743598   accuracy 0.6782945736434108   precision 0.5370672673356702   recall 0.5389739720154957
deviation 5/5   iterations 1400/2000   F1 0.52331109731008   accuracy 0.665374677002584   precision 0.5238722405824716   recall 0.523261884494583
deviation 5/5   iterations 1410/2000   F1 0.5162020379755121   accuracy 0.6563307493540051   precision 0.5143522643522643   recall 0.5184108796435781
deviation 5/5   iterations 1420/2000   F1 0.5064322753376165   accuracy 0.6459948320413437   precision 0.5091630091630092   recall 0.5078148473984272
deviation 5/5   iterations 1430/2000   F1 0.516634444694135   accuracy 0.6524547803617571   precision 0.5181262434436608   recall 0.5191294179818964
deviation 5/5   iterations 1440/2000   F1 0.522665978505907   accuracy 0.6537467700258398   precision 0.5236187505660098   recall 0.5286723810324898
deviation 5/5   iterations 1450/2000   F1 0.5268157768157767   accuracy 0.6640826873385013   precision 0.5268653488209148   recall 0.533673332443
deviation 5/5   iterations 1460/2000   F1 0.5359491558757853   accuracy 0.6731266149870802   precision 0.5353855319316008   recall 0.5386601008273787
deviation 5/5   iterations 1470/2000   F1 0.5102323505552397   accuracy 0.6291989664082688   precision 0.5073924197619232   recall 0.5239480396229479
deviation 5/5   iterations 1480/2000   F1 0.4992563501001426   accuracy 0.6291989664082688   precision 0.49631777813090383   recall 0.5089777735583958
deviation 5/5   iterations 1490/2000   F1 0.520069323746165   accuracy 0.6692506459948321   precision 0.5231927943431401   recall 0.5267307411516567
deviation 5/5   iterations 1500/2000   F1 0.5307522963689176   accuracy 0.6782945736434108   precision 0.537285615298634   recall 0.5359727862981146
deviation 5/5   iterations 1510/2000   F1 0.530521100821789   accuracy 0.661498708010336   precision 0.5316392491607295   recall 0.5418661615869708
deviation 5/5   iterations 1520/2000   F1 0.5120907123111226   accuracy 0.6511627906976745   precision 0.5088936872753298   recall 0.5189616401612143
deviation 5/5   iterations 1530/2000   F1 0.5104228816418876   accuracy 0.648578811369509   precision 0.5096431818413982   recall 0.5151175071913271
deviation 5/5   iterations 1540/2000   F1 0.5127332915077046   accuracy 0.6563307493540051   precision 0.5093578022519654   recall 0.5224625111055964
deviation 5/5   iterations 1550/2000   F1 0.5141408440354884   accuracy 0.6744186046511628   precision 0.5170261791948663   recall 0.5173300182764279
deviation 5/5   iterations 1560/2000   F1 0.5121056409391008   accuracy 0.6627906976744186   precision 0.510998636792973   recall 0.513822670690055
deviation 5/5   iterations 1570/2000   F1 0.5018058545522793   accuracy 0.6744186046511628   precision 0.5059509927003706   recall 0.5033601474510028
deviation 5/5   iterations 1580/2000   F1 0.5192392457617842   accuracy 0.6834625322997416   precision 0.522912900615368   recall 0.519587128010173
deviation 5/5   iterations 1590/2000   F1 0.5284401923618708   accuracy 0.6705426356589147   precision 0.5257616565812026   recall 0.5320863092068581
deviation 5/5   iterations 1600/2000   F1 0.5089122024590461   accuracy 0.6589147286821705   precision 0.5108312158306948   recall 0.5084887870881009
deviation 5/5   iterations 1610/2000   F1 0.5182617898044094   accuracy 0.6692506459948321   precision 0.5182997051778147   recall 0.5208140827447583
deviation 5/5   iterations 1620/2000   F1 0.5101937640576959   accuracy 0.6744186046511628   precision 0.5143780446433776   recall 0.5086837012188958
deviation 5/5   iterations 1630/2000   F1 0.502282593709224   accuracy 0.6666666666666666   precision 0.5055313629204113   recall 0.5069838286447774
deviation 5/5   iterations 1640/2000   F1 0.5310367241954123   accuracy 0.689922480620155   precision 0.539042961818196   recall 0.537750870472981
deviation 5/5   iterations 1650/2000   F1 0.5024753669984158   accuracy 0.6447028423772609   precision 0.5018521716451375   recall 0.5043243062881061
deviation 5/5   iterations 1660/2000   F1 0.5259728138765146   accuracy 0.6808785529715762   precision 0.5272561137692717   recall 0.5261864572760113
deviation 5/5   iterations 1670/2000   F1 0.5254484158537077   accuracy 0.6873385012919897   precision 0.5365896608144256   recall 0.5225986435616153
deviation 5/5   iterations 1680/2000   F1 0.5183961233144904   accuracy 0.6808785529715762   precision 0.5254184966167537   recall 0.519065758329925
deviation 5/5   iterations 1690/2000   F1 0.524608950942314   accuracy 0.661498708010336   precision 0.5213582900074836   recall 0.5306259494121791
deviation 5/5   iterations 1700/2000   F1 0.5212768675545335   accuracy 0.6782945736434108   precision 0.525751012857301   recall 0.5186801521830505
deviation 5/5   iterations 1710/2000   F1 0.49651265356710955   accuracy 0.6679586563307494   precision 0.5064165034352001   recall 0.49218134040090744
deviation 5/5   iterations 1720/2000   F1 0.5150241727468786   accuracy 0.6705426356589147   precision 0.5172895214507456   recall 0.5195741747261917
deviation 5/5   iterations 1730/2000   F1 0.5327747128972603   accuracy 0.6808785529715762   precision 0.5307012281268495   recall 0.5357652878059834
deviation 5/5   iterations 1740/2000   F1 0.501730116734777   accuracy 0.6124031007751938   precision 0.5028633209112282   recall 0.5168040575588192
deviation 5/5   iterations 1750/2000   F1 0.5281615703946945   accuracy 0.6537467700258398   precision 0.523414359855563   recall 0.5370471710232742
deviation 5/5   iterations 1760/2000   F1 0.5328435334708472   accuracy 0.6873385012919897   precision 0.5338998564837014   recall 0.5372973825594197
deviation 5/5   iterations 1770/2000   F1 0.5328097694794217   accuracy 0.6834625322997416   precision 0.5348282749048955   recall 0.5378801573643641
deviation 5/5   iterations 1780/2000   F1 0.5364396654719236   accuracy 0.6757105943152455   precision 0.5336288426422323   recall 0.5425721155639528
deviation 5/5   iterations 1790/2000   F1 0.5125734673901768   accuracy 0.6550387596899225   precision 0.5092129977700369   recall 0.5201081287677762
deviation 5/5   iterations 1800/2000   F1 0.5161535804544676   accuracy 0.6472868217054264   precision 0.5128450531331111   recall 0.5256647186731181
deviation 5/5   iterations 1810/2000   F1 0.5231013884648944   accuracy 0.6563307493540051   precision 0.5190258194469878   recall 0.5322449869356293
deviation 5/5   iterations 1820/2000   F1 0.5125718227216707   accuracy 0.6873385012919897   precision 0.5206274245235284   recall 0.5162746945545952
deviation 5/5   iterations 1830/2000   F1 0.5303994810541666   accuracy 0.6524547803617571   precision 0.5307197954256778   recall 0.5401521059867209
deviation 5/5   iterations 1840/2000   F1 0.5230631100664328   accuracy 0.6640826873385013   precision 0.531251264008435   recall 0.5227725291016431
deviation 5/5   iterations 1850/2000   F1 0.5156315113745674   accuracy 0.6589147286821705   precision 0.5250141049918248   recall 0.5138123408559939
deviation 5/5   iterations 1860/2000   F1 0.5238070936397113   accuracy 0.6873385012919897   precision 0.5315031737633898   recall 0.5217340118558621
deviation 5/5   iterations 1870/2000   F1 0.5245490584788053   accuracy 0.6847545219638242   precision 0.5317524408011907   recall 0.5212805239423007
deviation 5/5   iterations 1880/2000   F1 0.5177210589701874   accuracy 0.6795865633074936   precision 0.5295801136595936   recall 0.5107947175852061
deviation 5/5   iterations 1890/2000   F1 0.536001292098853   accuracy 0.6873385012919897   precision 0.5417449895297997   recall 0.5357038826812871
deviation 5/5   iterations 1900/2000   F1 0.5245108474440952   accuracy 0.6808785529715762   precision 0.5258015943879591   recall 0.5235246803920647
deviation 5/5   iterations 1910/2000   F1 0.5282637145468342   accuracy 0.6757105943152455   precision 0.538745871851207   recall 0.5237538633374431
deviation 5/5   iterations 1920/2000   F1 0.5285173819773481   accuracy 0.6950904392764858   precision 0.5549437988911673   recall 0.520704225779347
deviation 5/5   iterations 1930/2000   F1 0.5236230978183256   accuracy 0.6770025839793282   precision 0.5356443399921661   recall 0.5239716916636353
deviation 5/5   iterations 1940/2000   F1 0.5130580023804058   accuracy 0.6602067183462532   precision 0.5109416445623342   recall 0.5159630778937534
deviation 5/5   iterations 1950/2000   F1 0.5252772716559004   accuracy 0.686046511627907   precision 0.5363337197638663   recall 0.523634906280121
deviation 5/5   iterations 1960/2000   F1 0.5085041934164741   accuracy 0.6757105943152455   precision 0.5166313194482209   recall 0.503392161738311
deviation 5/5   iterations 1970/2000   F1 0.5122670293828905   accuracy 0.6679586563307494   precision 0.5126174897729798   recall 0.5173235416344372
deviation 5/5   iterations 1980/2000   F1 0.5208469716463429   accuracy 0.6602067183462532   precision 0.5197087964198874   recall 0.5240841720789668
deviation 5/5   iterations 1990/2000   F1 0.5276437468862135   accuracy 0.6666666666666666   precision 0.5253142606595097   recall 0.5308719388336093
deviation 5/5   iterations 2000/2000   F1 0.5316664983878097   accuracy 0.6834625322997416   precision 0.5338085456836494   recall 0.5310309854850255

0.11772646598682683
