deviation 1/5   iterations 10/2000   F1 0.23468480192477484   accuracy 0.26288659793814434   precision 0.36545698924731185   recall 0.36000144134988527
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deviation 1/5   iterations 20/2000   F1 0.19141543249601542   accuracy 0.18427835051546393   precision 0.37377867590049085   recall 0.3280702075828848
deviation 1/5   iterations 30/2000   F1 0.3253931534041712   accuracy 0.3543814432989691   precision 0.42271435175578764   recall 0.3996553382265941
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deviation 1/5   iterations 40/2000   F1 0.4368273343761188   accuracy 0.5876288659793815   precision 0.4357242607990439   recall 0.43909010106142804
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deviation 1/5   iterations 50/2000   F1 0.4300538093027282   accuracy 0.5631443298969072   precision 0.43705525555141295   recall 0.43061471943961616
deviation 1/5   iterations 60/2000   F1 0.4222350449830965   accuracy 0.5579896907216495   precision 0.43269392352575453   recall 0.4477198781285741
deviation 1/5   iterations 70/2000   F1 0.4542267769176636   accuracy 0.5695876288659794   precision 0.4565704854401142   recall 0.4661266897689809
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deviation 1/5   iterations 80/2000   F1 0.463143352743887   accuracy 0.5966494845360825   precision 0.4650242431786648   recall 0.46690831671098615
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deviation 1/5   iterations 90/2000   F1 0.4611598106804242   accuracy 0.5927835051546392   precision 0.46031902972123334   recall 0.4704752097998763
deviation 1/5   iterations 100/2000   F1 0.4618428081753902   accuracy 0.5979381443298969   precision 0.47150130438441473   recall 0.4671112457456767
deviation 1/5   iterations 110/2000   F1 0.46444803669956936   accuracy 0.6056701030927835   precision 0.4656967030430766   recall 0.4664112138649716
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deviation 1/5   iterations 120/2000   F1 0.4755471073120338   accuracy 0.6108247422680413   precision 0.47540661613793506   recall 0.4812010108992924
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deviation 1/5   iterations 130/2000   F1 0.46061252783941864   accuracy 0.5940721649484536   precision 0.471136963578807   recall 0.46494400925721213
deviation 1/5   iterations 140/2000   F1 0.4639653313349206   accuracy 0.6275773195876289   precision 0.4626618528190245   recall 0.4655889522567101
deviation 1/5   iterations 150/2000   F1 0.47642660846153917   accuracy 0.6211340206185567   precision 0.4841649210920611   recall 0.47661271376460634
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deviation 1/5   iterations 160/2000   F1 0.46810631527049434   accuracy 0.6005154639175257   precision 0.47913985414872157   recall 0.4699343778641231
deviation 1/5   iterations 170/2000   F1 0.4671874816484544   accuracy 0.6134020618556701   precision 0.4704203585951386   recall 0.46770647438896334
deviation 1/5   iterations 180/2000   F1 0.47631984622950635   accuracy 0.6301546391752577   precision 0.48242778634935507   recall 0.474305413897463
deviation 1/5   iterations 190/2000   F1 0.47189664994395136   accuracy 0.6172680412371134   precision 0.474983084400715   recall 0.47321646184433347
deviation 1/5   iterations 200/2000   F1 0.4841028845282689   accuracy 0.6211340206185567   precision 0.489047998126416   recall 0.4859672373842187
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deviation 1/5   iterations 210/2000   F1 0.4793421739144212   accuracy 0.634020618556701   precision 0.48055894667810123   recall 0.47963030596926504
deviation 1/5   iterations 220/2000   F1 0.47706590731109083   accuracy 0.625   precision 0.47903959004876434   recall 0.47822466410236686
deviation 1/5   iterations 230/2000   F1 0.4826014116613111   accuracy 0.6185567010309279   precision 0.4890819423926385   recall 0.48458411151976505
deviation 1/5   iterations 240/2000   F1 0.48803260783157043   accuracy 0.6365979381443299   precision 0.4887010260348174   recall 0.48978677386401065
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deviation 1/5   iterations 250/2000   F1 0.474187665387664   accuracy 0.5927835051546392   precision 0.4859193438140806   recall 0.48201012120775344
deviation 1/5   iterations 260/2000   F1 0.4881165054908833   accuracy 0.6481958762886598   precision 0.4955267250198439   recall 0.48579749196976746
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deviation 1/5   iterations 270/2000   F1 0.4928122634807692   accuracy 0.6481958762886598   precision 0.4904250841750842   recall 0.4999347728102781
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deviation 1/5   iterations 280/2000   F1 0.48033627440983534   accuracy 0.625   precision 0.48851689144372434   recall 0.48031250419884763
deviation 1/5   iterations 290/2000   F1 0.48935786435786427   accuracy 0.6353092783505154   precision 0.4926110504858133   recall 0.49081286026112864
deviation 1/5   iterations 300/2000   F1 0.4893513897617258   accuracy 0.6224226804123711   precision 0.4955356782921089   recall 0.49429567460671303
deviation 1/5   iterations 310/2000   F1 0.4901379569281719   accuracy 0.6327319587628866   precision 0.49664572103596494   recall 0.4913324791095877
deviation 1/5   iterations 320/2000   F1 0.49638610288990265   accuracy 0.6365979381443299   precision 0.49642954642954645   recall 0.5060118948010021
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deviation 1/5   iterations 330/2000   F1 0.4907843112096226   accuracy 0.6353092783505154   precision 0.49833684833684827   recall 0.49099795564469667
deviation 1/5   iterations 340/2000   F1 0.5051880259933951   accuracy 0.6469072164948454   precision 0.5066065098291975   recall 0.51001184431304
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deviation 1/5   iterations 350/2000   F1 0.5062716334596964   accuracy 0.6404639175257731   precision 0.5109249404641285   recall 0.5118920730235083
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deviation 1/5   iterations 360/2000   F1 0.5011652230444178   accuracy 0.6353092783505154   precision 0.5052664124855148   recall 0.5073156242734721
deviation 1/5   iterations 370/2000   F1 0.4981402719316259   accuracy 0.6301546391752577   precision 0.503966027264372   recall 0.5036905478798924
deviation 1/5   iterations 380/2000   F1 0.5140027550019416   accuracy 0.6597938144329897   precision 0.5142927530858264   recall 0.5177862982999807
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deviation 1/5   iterations 390/2000   F1 0.5006464811752259   accuracy 0.6314432989690721   precision 0.5080540846858913   recall 0.5053334831685756
deviation 1/5   iterations 400/2000   F1 0.5154222454532053   accuracy 0.663659793814433   precision 0.5172818076104343   recall 0.517377060794428
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deviation 1/5   iterations 410/2000   F1 0.4955090584605548   accuracy 0.625   precision 0.49971579680412564   recall 0.5035007701450023
deviation 1/5   iterations 420/2000   F1 0.5113904106367415   accuracy 0.6533505154639175   precision 0.5149742877070256   recall 0.5145135790224146
deviation 1/5   iterations 430/2000   F1 0.5099711047902841   accuracy 0.6507731958762887   precision 0.5139915535832958   recall 0.5131304531579609
deviation 1/5   iterations 440/2000   F1 0.4887152759553377   accuracy 0.6082474226804123   precision 0.5017405828900766   recall 0.493836722744949
deviation 1/5   iterations 450/2000   F1 0.5133147524058784   accuracy 0.6649484536082474   precision 0.5168725863223748   recall 0.513681952711509
deviation 1/5   iterations 460/2000   F1 0.5045176869030875   accuracy 0.634020618556701   precision 0.507105577689243   recall 0.5143534833232968
deviation 1/5   iterations 470/2000   F1 0.5138336865547238   accuracy 0.6391752577319587   precision 0.5253979419116043   recall 0.5202514951969255
deviation 1/5   iterations 480/2000   F1 0.5178221048417968   accuracy 0.6649484536082474   precision 0.5202706977086322   recall 0.5197862730559998
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deviation 1/5   iterations 490/2000   F1 0.5007819595710543   accuracy 0.6378865979381443   precision 0.5049682646199444   recall 0.5052634514792362
deviation 1/5   iterations 500/2000   F1 0.5173059164550451   accuracy 0.6649484536082474   precision 0.5202549659601622   recall 0.5189274483913273
deviation 1/5   iterations 510/2000   F1 0.5204691114106323   accuracy 0.6572164948453608   precision 0.5239643823643908   recall 0.525269062157603
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deviation 1/5   iterations 520/2000   F1 0.5160885459460104   accuracy 0.645618556701031   precision 0.5209483206508344   recall 0.5225728421180352
deviation 1/5   iterations 530/2000   F1 0.5129619263549535   accuracy 0.6507731958762887   precision 0.5158067857369227   recall 0.5181908534542113
deviation 1/5   iterations 540/2000   F1 0.5225266651339004   accuracy 0.6559278350515464   precision 0.5296808666373883   recall 0.5274316162947454
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deviation 1/5   iterations 550/2000   F1 0.5211093787435965   accuracy 0.6533505154639175   precision 0.52537630328328   recall 0.5267222197113962
deviation 1/5   iterations 560/2000   F1 0.5209766841345789   accuracy 0.6585051546391752   precision 0.526821265692176   recall 0.5243355234522692
deviation 1/5   iterations 570/2000   F1 0.5231185113882012   accuracy 0.6610824742268041   precision 0.5283517190101757   recall 0.5265774739813952
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deviation 1/5   iterations 580/2000   F1 0.4955780281481032   accuracy 0.6237113402061856   precision 0.5033904461825566   recall 0.5010915578834306
deviation 1/5   iterations 590/2000   F1 0.511043578939464   accuracy 0.6572164948453608   precision 0.5133309294908818   recall 0.5138266984415099
deviation 1/5   iterations 600/2000   F1 0.4968899685182408   accuracy 0.6275773195876289   precision 0.5039681409406319   recall 0.5023074220154388
deviation 1/5   iterations 610/2000   F1 0.5054172127566623   accuracy 0.6533505154639175   precision 0.5084838759294843   recall 0.5073653386296834
deviation 1/5   iterations 620/2000   F1 0.5090700253848938   accuracy 0.6533505154639175   precision 0.5153266620657925   recall 0.5101269080072687
deviation 1/5   iterations 630/2000   F1 0.5020506274333543   accuracy 0.6443298969072165   precision 0.5068662157464878   recall 0.5043345951252244
deviation 1/5   iterations 640/2000   F1 0.4967003367003367   accuracy 0.6288659793814433   precision 0.504425228750627   recall 0.5005150586454324
deviation 1/5   iterations 650/2000   F1 0.49237620354608613   accuracy 0.6262886597938144   precision 0.500289491293084   recall 0.49551153873872117
deviation 1/5   iterations 660/2000   F1 0.4974131105438692   accuracy 0.6378865979381443   precision 0.5025437310800739   recall 0.5000179557994179
deviation 1/5   iterations 670/2000   F1 0.5021998771519288   accuracy 0.6417525773195877   precision 0.5065635152249325   recall 0.5056204909465719
deviation 1/5   iterations 680/2000   F1 0.5097554073988445   accuracy 0.6520618556701031   precision 0.512855782842404   recall 0.5128706437337314
deviation 1/5   iterations 690/2000   F1 0.5172836949602325   accuracy 0.663659793814433   precision 0.517941617206323   recall 0.5207198117613336
deviation 1/5   iterations 700/2000   F1 0.4943591903478783   accuracy 0.6108247422680413   precision 0.5083386427140721   recall 0.5021829936185659
deviation 1/5   iterations 710/2000   F1 0.509675919141998   accuracy 0.654639175257732   precision 0.5094660237297809   recall 0.5149274988792895
deviation 1/5   iterations 720/2000   F1 0.5045206648738988   accuracy 0.6469072164948454   precision 0.5117329606263793   recall 0.5059028163732461
deviation 1/5   iterations 730/2000   F1 0.5129616521883796   accuracy 0.654639175257732   precision 0.512187213790034   recall 0.5217980961966685
deviation 1/5   iterations 740/2000   F1 0.501807676968018   accuracy 0.6443298969072165   precision 0.5060072046631187   recall 0.5043345951252244
deviation 1/5   iterations 750/2000   F1 0.5035601295978654   accuracy 0.6378865979381443   precision 0.5086068707121338   recall 0.5087912978297099
deviation 1/5   iterations 760/2000   F1 0.5047389226507661   accuracy 0.6430412371134021   precision 0.5074054058268223   recall 0.5105136295103767
deviation 1/5   iterations 770/2000   F1 0.49835023682973567   accuracy 0.6237113402061856   precision 0.5065709676861547   recall 0.5054782288985766
deviation 1/5   iterations 780/2000   F1 0.500755339297318   accuracy 0.6378865979381443   precision 0.5049091469149006   recall 0.5051709037874522
deviation 1/5   iterations 790/2000   F1 0.512769494048761   accuracy 0.6610824742268041   precision 0.5179007368586083   recall 0.5134174609359573
deviation 1/5   iterations 800/2000   F1 0.5027088320400166   accuracy 0.6262886597938144   precision 0.5093079486507311   recall 0.5121068504428486
deviation 1/5   iterations 810/2000   F1 0.5129411594383052   accuracy 0.654639175257732   precision 0.5179184921831981   recall 0.5152051419546414
deviation 1/5   iterations 820/2000   F1 0.5048419350461222   accuracy 0.634020618556701   precision 0.511308144767479   recall 0.5101519076917188
deviation 1/5   iterations 830/2000   F1 0.507784463505882   accuracy 0.6391752577319587   precision 0.5132099586587825   recall 0.5129181594206261
deviation 1/5   iterations 840/2000   F1 0.5136515193142887   accuracy 0.6572164948453608   precision 0.5183363887706985   recall 0.5157294431544227
deviation 1/5   iterations 850/2000   F1 0.5096113508684089   accuracy 0.6404639175257731   precision 0.5143146382638456   recall 0.5154199193739818
deviation 1/5   iterations 860/2000   F1 0.500166038734168   accuracy 0.6198453608247423   precision 0.5101334064327485   recall 0.5095078604463869
deviation 1/5   iterations 870/2000   F1 0.5145473056480135   accuracy 0.6585051546391752   precision 0.5196579033489691   recall 0.5164210060866495
deviation 1/5   iterations 880/2000   F1 0.5073645627384334   accuracy 0.6507731958762887   precision 0.5117920207443735   recall 0.5095100591157034
deviation 1/5   iterations 890/2000   F1 0.4938780802859684   accuracy 0.615979381443299   precision 0.5041291379721025   recall 0.5005625743323273
deviation 1/5   iterations 900/2000   F1 0.504761401063814   accuracy 0.6469072164948454   precision 0.5039892954941498   recall 0.514120872252834
deviation 1/5   iterations 910/2000   F1 0.49785369421787573   accuracy 0.6301546391752577   precision 0.5087128081118052   recall 0.5004403446047708
deviation 1/5   iterations 920/2000   F1 0.5024994652185389   accuracy 0.645618556701031   precision 0.5025903880070547   recall 0.5099940106619175
deviation 1/5   iterations 930/2000   F1 0.4954200728848617   accuracy 0.6134020618556701   precision 0.5070082765405183   recall 0.504702587223044
deviation 1/5   iterations 940/2000   F1 0.503795740393639   accuracy 0.6404639175257731   precision 0.5116101923948193   recall 0.5068316727272579
deviation 1/5   iterations 950/2000   F1 0.5015651787748445   accuracy 0.6353092783505154   precision 0.5075549450549451   recall 0.5065493473005837
deviation 1/5   iterations 960/2000   F1 0.5055938257051036   accuracy 0.6391752577319587   precision 0.5120064889564478   recall 0.5104342331183931
deviation 1/5   iterations 970/2000   F1 0.5051952106560865   accuracy 0.645618556701031   precision 0.5128002508363513   recall 0.5069289027703641
deviation 1/5   iterations 980/2000   F1 0.5016820226288251   accuracy 0.6417525773195877   precision 0.5025299599769332   recall 0.5088706942216934
deviation 1/5   iterations 990/2000   F1 0.5007280582580124   accuracy 0.6237113402061856   precision 0.5123477424499109   recall 0.5075660689950574
deviation 1/5   iterations 1000/2000   F1 0.5103313052393675   accuracy 0.6494845360824743   precision 0.5131814390411836   recall 0.5149228165279672
deviation 1/5   iterations 1010/2000   F1 0.5089860439600468   accuracy 0.6481958762886598   precision 0.5137151081187844   recall 0.5126061519581797
deviation 1/5   iterations 1020/2000   F1 0.5014398460174944   accuracy 0.615979381443299   precision 0.5118362562416271   recall 0.5129563104048768
deviation 1/5   iterations 1030/2000   F1 0.5098962234210508   accuracy 0.6430412371134021   precision 0.5160400882132808   recall 0.5151779436008748
deviation 1/5   iterations 1040/2000   F1 0.503698601013427   accuracy 0.6275773195876289   precision 0.5109644393812368   recall 0.5121246840939712
deviation 1/5   iterations 1050/2000   F1 0.5080574059060775   accuracy 0.6365979381443299   precision 0.5142491107605512   recall 0.5151554275984301
deviation 1/5   iterations 1060/2000   F1 0.5085822440425298   accuracy 0.645618556701031   precision 0.5178656966355636   recall 0.511408121477294
deviation 1/5   iterations 1070/2000   F1 0.5099532635247611   accuracy 0.6314432989690721   precision 0.5191683001718844   recall 0.5185860439057975
deviation 1/5   iterations 1080/2000   F1 0.5164327285300941   accuracy 0.6533505154639175   precision 0.5197135315580239   recall 0.5222430010044662
deviation 1/5   iterations 1090/2000   F1 0.5070353866443902   accuracy 0.6353092783505154   precision 0.5202920275031949   recall 0.5130238584122105
deviation 1/5   iterations 1100/2000   F1 0.49617639901145055   accuracy 0.6185567010309279   precision 0.503897071072307   recall 0.5053809988554705
deviation 1/5   iterations 1110/2000   F1 0.5094391921521176   accuracy 0.6378865979381443   precision 0.5156006952918352   recall 0.5167058151953294
deviation 1/5   iterations 1120/2000   F1 0.5026561185933435   accuracy 0.6314432989690721   precision 0.507677076135494   recall 0.510578978848394
deviation 1/5   iterations 1130/2000   F1 0.503668601671333   accuracy 0.6443298969072165   precision 0.5070440600001679   recall 0.5078624414756979
deviation 1/5   iterations 1140/2000   F1 0.5035698942361276   accuracy 0.6353092783505154   precision 0.511327207071888   recall 0.5084520920134966
deviation 1/5   iterations 1150/2000   F1 0.5073275122729729   accuracy 0.6494845360824743   precision 0.5075236725227948   recall 0.5139714441715109
deviation 1/5   iterations 1160/2000   F1 0.5029623990564674   accuracy 0.6327319587628866   precision 0.5134674922600619   recall 0.5080203385054993
deviation 1/5   iterations 1170/2000   F1 0.5170619378727287   accuracy 0.654639175257732   precision 0.5203346238181716   recall 0.5222608346555886
deviation 1/5   iterations 1180/2000   F1 0.5069451705614268   accuracy 0.6301546391752577   precision 0.5127750613819924   recall 0.5169431086171143
deviation 1/5   iterations 1190/2000   F1 0.5135173908327467   accuracy 0.645618556701031   precision 0.5206625889118367   recall 0.5192300911511296
deviation 1/5   iterations 1200/2000   F1 0.5044110928595641   accuracy 0.6275773195876289   precision 0.5112775378456811   recall 0.513842333423316
deviation 1/5   iterations 1210/2000   F1 0.5096680669804212   accuracy 0.6327319587628866   precision 0.5139397824498788   recall 0.5209027084755852
deviation 1/5   iterations 1220/2000   F1 0.5108347880214889   accuracy 0.6353092783505154   precision 0.5221867565587156   recall 0.5191281787567014
deviation 1/5   iterations 1230/2000   F1 0.5207645886812432   accuracy 0.6559278350515464   precision 0.5222716063830677   recall 0.5281053455758499
deviation 1/5   iterations 1240/2000   F1 0.5119471120725466   accuracy 0.6443298969072165   precision 0.5222193815317123   recall 0.516913426581342
deviation 1/5   iterations 1250/2000   F1 0.5141163237431825   accuracy 0.6443298969072165   precision 0.5163302973628475   recall 0.5235989285151531
deviation 1/5   iterations 1260/2000   F1 0.5059619074552828   accuracy 0.6237113402061856   precision 0.5160157476375146   recall 0.5162468633335654
deviation 1/5   iterations 1270/2000   F1 0.5114416837371176   accuracy 0.6520618556701031   precision 0.5179960524788111   recall 0.5139145637819719
deviation 1/5   iterations 1280/2000   F1 0.49511731737437065   accuracy 0.6121134020618557   precision 0.5077230104685674   recall 0.5038259289072492
deviation 1/5   iterations 1290/2000   F1 0.5102537905709548   accuracy 0.645618556701031   precision 0.5120277975766215   recall 0.5180936234111052
deviation 1/5   iterations 1300/2000   F1 0.49954373986902895   accuracy 0.6314432989690721   precision 0.5181140438625468   recall 0.5022683752770222
deviation 1/5   iterations 1310/2000   F1 0.4944676891673539   accuracy 0.6237113402061856   precision 0.4990122781850777   recall 0.5036680318774477
deviation 1/5   iterations 1320/2000   F1 0.5021066144539214   accuracy 0.6185567010309279   precision 0.5161684835003959   recall 0.510904137610641
deviation 1/5   iterations 1330/2000   F1 0.5084814471900106   accuracy 0.6507731958762887   precision 0.5090921532528574   recall 0.5146630071037377
deviation 1/5   iterations 1340/2000   F1 0.5028462150827627   accuracy 0.6262886597938144   precision 0.5126930283646702   recall 0.5105742964970719
deviation 1/5   iterations 1350/2000   F1 0.5137097894042536   accuracy 0.6520618556701031   precision 0.5164660984250588   recall 0.5190675117700061
deviation 1/5   iterations 1360/2000   F1 0.5066169662904966   accuracy 0.6327319587628866   precision 0.5154107407270945   recall 0.51412465884999
deviation 1/5   iterations 1370/2000   F1 0.5087885891057533   accuracy 0.6443298969072165   precision 0.5106389086877327   recall 0.5165432358142059
deviation 1/5   iterations 1380/2000   F1 0.5065894139889929   accuracy 0.6314432989690721   precision 0.5139838960275469   recall 0.515058197555324
deviation 1/5   iterations 1390/2000   F1 0.5076484603772212   accuracy 0.6443298969072165   precision 0.5106970229474767   recall 0.5139667618201887
deviation 1/5   iterations 1400/2000   F1 0.5014512120315162   accuracy 0.6237113402061856   precision 0.509987006230875   recall 0.5100499952972907
deviation 1/5   iterations 1410/2000   F1 0.5085012429572494   accuracy 0.6365979381443299   precision 0.5134920154491294   recall 0.516965624619559
deviation 1/5   iterations 1420/2000   F1 0.5053561748449907   accuracy 0.6288659793814433   precision 0.5116728994637284   recall 0.5153927210202152
deviation 1/5   iterations 1430/2000   F1 0.5047486700942582   accuracy 0.6275773195876289   precision 0.5112889983579638   recall 0.5147011580879883
deviation 1/5   iterations 1440/2000   F1 0.5073782109352442   accuracy 0.6430412371134021   precision 0.5100179958597225   recall 0.5141340235526344
deviation 1/5   iterations 1450/2000   F1 0.5153647638288773   accuracy 0.6533505154639175   precision 0.5199141655840517   recall 0.5197590747022329
deviation 1/5   iterations 1460/2000   F1 0.507064869551401   accuracy 0.6314432989690721   precision 0.5126833386715258   recall 0.5167758468846688
deviation 1/5   iterations 1470/2000   F1 0.5097425659178713   accuracy 0.6507731958762887   precision 0.514392751803713   recall 0.5131304531579609
deviation 1/5   iterations 1480/2000   F1 0.5040766164083811   accuracy 0.6288659793814433   precision 0.5100407130171781   recall 0.5144413486637588
deviation 1/5   iterations 1490/2000   F1 0.5122548940373934   accuracy 0.6443298969072165   precision 0.5171501292824822   recall 0.5193048051917911
deviation 1/5   iterations 1500/2000   F1 0.5073410302537438   accuracy 0.6262886597938144   precision 0.5175617468751529   recall 0.5176299891980191
deviation 1/5   iterations 1510/2000   F1 0.517244205783806   accuracy 0.6481958762886598   precision 0.5259197012138189   recall 0.5232822387013845
deviation 1/5   iterations 1520/2000   F1 0.5073999151378696   accuracy 0.6314432989690721   precision 0.5177505635252114   recall 0.515150745247108
deviation 1/5   iterations 1530/2000   F1 0.4953733169163905   accuracy 0.615979381443299   precision 0.5056821999457101   recall 0.5041829683745848
deviation 1/5   iterations 1540/2000   F1 0.5207671889464288   accuracy 0.6585051546391752   precision 0.5214469136420622   recall 0.528537099083847
deviation 1/5   iterations 1550/2000   F1 0.5131277436445606   accuracy 0.6391752577319587   precision 0.5225807536365558   recall 0.5201589475051415
deviation 1/5   iterations 1560/2000   F1 0.5087445389596822   accuracy 0.634020618556701   precision 0.5191710376374127   recall 0.5156750464468893
deviation 1/5   iterations 1570/2000   F1 0.5024708976307782   accuracy 0.6262886597938144   precision 0.5084647165544062   recall 0.5122919458264167
deviation 1/5   iterations 1580/2000   F1 0.516595824617848   accuracy 0.6481958762886598   precision 0.5288712856707797   recall 0.5216571370638237
deviation 1/5   iterations 1590/2000   F1 0.5181017308807419   accuracy 0.6494845360824743   precision 0.5187611066461644   recall 0.5280828295734052
deviation 1/5   iterations 1600/2000   F1 0.5022076089695138   accuracy 0.6172680412371134   precision 0.5141279697653433   recall 0.5137404210288876
deviation 1/5   iterations 1610/2000   F1 0.5166737946501989   accuracy 0.6494845360824743   precision 0.5201191609894269   recall 0.5238812539418273
deviation 1/5   iterations 1620/2000   F1 0.49998011287745564   accuracy 0.6146907216494846   precision 0.5111415839148327   recall 0.5122647474726499
deviation 1/5   iterations 1630/2000   F1 0.5134168611856115   accuracy 0.6585051546391752   precision 0.5164302468939547   recall 0.5164210060866495
deviation 1/5   iterations 1640/2000   F1 0.5083782301316431   accuracy 0.6301546391752577   precision 0.5147653840000447   recall 0.5196121303029155
deviation 1/5   iterations 1650/2000   F1 0.5090556820923895   accuracy 0.6391752577319587   precision 0.514018907611585   recall 0.5166311011546679
deviation 1/5   iterations 1660/2000   F1 0.502292327220942   accuracy 0.6288659793814433   precision 0.5107019975771915   recall 0.5093809483675084
deviation 1/5   iterations 1670/2000   F1 0.5037693405317333   accuracy 0.6185567010309279   precision 0.5126359919106033   recall 0.5169159102633477
deviation 1/5   iterations 1680/2000   F1 0.5158367223624918   accuracy 0.654639175257732   precision 0.5151187702630885   recall 0.5245596655742538
deviation 1/5   iterations 1690/2000   F1 0.5013402490182676   accuracy 0.6275773195876289   precision 0.5141767241566398   recall 0.5061129114412644
deviation 1/5   iterations 1700/2000   F1 0.5023457276809984   accuracy 0.6327319587628866   precision 0.5066787392835564   recall 0.5104117171159485
deviation 1/5   iterations 1710/2000   F1 0.5133635348793123   accuracy 0.6507731958762887   precision 0.5177535503284526   recall 0.5184684965295633
deviation 1/5   iterations 1720/2000   F1 0.503780924313167   accuracy 0.6262886597938144   precision 0.5108645487592857   recall 0.5141021428475455
deviation 1/5   iterations 1730/2000   F1 0.5103119741511289   accuracy 0.645618556701031   precision 0.5143891747665332   recall 0.5165610694653284
deviation 1/5   iterations 1740/2000   F1 0.5029656033573257   accuracy 0.6314432989690721   precision 0.507744239291183   recall 0.5122966281777388
deviation 1/5   iterations 1750/2000   F1 0.5021166698798278   accuracy 0.6378865979381443   precision 0.5115866803379521   recall 0.5055410945545883
deviation 1/5   iterations 1760/2000   F1 0.5031233540763642   accuracy 0.6288659793814433   precision 0.510193506536967   recall 0.5118648746697416
deviation 1/5   iterations 1770/2000   F1 0.5013118394734691   accuracy 0.634020618556701   precision 0.5063570099408277   recall 0.5084342583623741
deviation 1/5   iterations 1780/2000   F1 0.5001154159827392   accuracy 0.6288659793814433   precision 0.5094334028544555   recall 0.5059456497088188
deviation 1/5   iterations 1790/2000   F1 0.5029265658034466   accuracy 0.6378865979381443   precision 0.5070582700785962   recall 0.5087912978297099
deviation 1/5   iterations 1800/2000   F1 0.497090643321833   accuracy 0.6211340206185567   precision 0.5066223121037154   recall 0.5052315707741474
deviation 1/5   iterations 1810/2000   F1 0.5140959145952447   accuracy 0.6494845360824743   precision 0.5144643869016771   recall 0.5227447862018029
deviation 1/5   iterations 1820/2000   F1 0.4983669375112303   accuracy 0.6237113402061856   precision 0.5074332686801515   recall 0.5056633242821446
deviation 1/5   iterations 1830/2000   F1 0.5050034905591311   accuracy 0.634020618556701   precision 0.5102535625003451   recall 0.5136797540421925
deviation 1/5   iterations 1840/2000   F1 0.5065314187990927   accuracy 0.6353092783505154   precision 0.5157215872130844   recall 0.5129313107204266
deviation 1/5   iterations 1850/2000   F1 0.5080387615913055   accuracy 0.6417525773195877   precision 0.5137437024178232   recall 0.5136275560039755
deviation 1/5   iterations 1860/2000   F1 0.507008359582712   accuracy 0.6365979381443299   precision 0.5112935098291634   recall 0.5159217045713186
deviation 1/5   iterations 1870/2000   F1 0.5088240718617304   accuracy 0.6378865979381443   precision 0.5121515341241326   recall 0.5191897414975625
deviation 1/5   iterations 1880/2000   F1 0.4957218027464985   accuracy 0.6198453608247423   precision 0.5089506325266644   recall 0.5020560815396874
deviation 1/5   iterations 1890/2000   F1 0.5244861163531048   accuracy 0.6623711340206185   precision 0.5222121177845643   recall 0.533954538847433
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deviation 1/5   iterations 1900/2000   F1 0.4997397641906631   accuracy 0.6288659793814433   precision 0.5061341273868681   recall 0.5073856559628115
deviation 1/5   iterations 1910/2000   F1 0.5034895741640502   accuracy 0.645618556701031   precision 0.5100814339925047   recall 0.5061626257974757
deviation 1/5   iterations 1920/2000   F1 0.5027800598904223   accuracy 0.6314432989690721   precision 0.5080276071655302   recall 0.5114378035130663
deviation 1/5   iterations 1930/2000   F1 0.5000508242094692   accuracy 0.6198453608247423   precision 0.5116416297178655   recall 0.5089266788570666
deviation 1/5   iterations 1940/2000   F1 0.5146854906827172   accuracy 0.6494845360824743   precision 0.5158287402552262   recall 0.5236036108664752
deviation 1/5   iterations 1950/2000   F1 0.4987059158533292   accuracy 0.625   precision 0.5131454877327809   recall 0.5039635086039224
deviation 1/5   iterations 1960/2000   F1 0.5054165139907911   accuracy 0.6327319587628866   precision 0.5128374337680919   recall 0.514032111158206
deviation 1/5   iterations 1970/2000   F1 0.5072650127010521   accuracy 0.6404639175257731   precision 0.5096084759652167   recall 0.5170450210115426
deviation 1/5   iterations 1980/2000   F1 0.500911057426618   accuracy 0.6417525773195877   precision 0.5066159560918557   recall 0.5039028416172271
deviation 1/5   iterations 1990/2000   F1 0.5065350687624783   accuracy 0.6353092783505154   precision 0.5129841138481629   recall 0.5145564123579873
deviation 1/5   iterations 2000/2000   F1 0.5126798668809008   accuracy 0.6481958762886598   precision 0.5145808343329334   recall 0.5211943986049037

deviation 2/5   iterations 10/2000   F1 0.18556476032204194   accuracy 0.2903225806451613   precision 0.3233138738047574   recall 0.3367373152239239
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deviation 2/5   iterations 20/2000   F1 0.23832813764567415   accuracy 0.3303225806451613   precision 0.36827928223361345   recall 0.35044470940857747
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deviation 2/5   iterations 30/2000   F1 0.3559204532350537   accuracy 0.43612903225806454   precision 0.3979284377024059   recall 0.3998032240429916
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deviation 2/5   iterations 40/2000   F1 0.38306209560440657   accuracy 0.4632258064516129   precision 0.41129716401225225   recall 0.4119821111576352
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deviation 2/5   iterations 50/2000   F1 0.4114023236291077   accuracy 0.5341935483870968   precision 0.4168114973262032   recall 0.42371814601247254
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deviation 2/5   iterations 60/2000   F1 0.3890303105852162   accuracy 0.49548387096774194   precision 0.40700780782829793   recall 0.41676480102573515
deviation 2/5   iterations 70/2000   F1 0.42236367921293033   accuracy 0.5548387096774193   precision 0.4254816341216106   recall 0.4373177928433177
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deviation 2/5   iterations 80/2000   F1 0.43654307116104873   accuracy 0.5703225806451613   precision 0.4366113794218369   recall 0.4466097544652974
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deviation 2/5   iterations 90/2000   F1 0.4056780068032881   accuracy 0.512258064516129   precision 0.42071666243299616   recall 0.41073798510648496
deviation 2/5   iterations 100/2000   F1 0.4305635238031225   accuracy 0.5883870967741935   precision 0.43054800830810885   recall 0.44644702896284866
deviation 2/5   iterations 110/2000   F1 0.4419127086007702   accuracy 0.5832258064516129   precision 0.4408425976044746   recall 0.4517296763701462
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deviation 2/5   iterations 120/2000   F1 0.4544921925424112   accuracy 0.5948387096774194   precision 0.45287308320095204   recall 0.4590105176798109
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deviation 2/5   iterations 130/2000   F1 0.46740565512949167   accuracy 0.5987096774193549   precision 0.4656714030166706   recall 0.4776040948248708
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deviation 2/5   iterations 140/2000   F1 0.4600706821511793   accuracy 0.5961290322580645   precision 0.45932783432783436   recall 0.4708974151925241
deviation 2/5   iterations 150/2000   F1 0.44599163165884176   accuracy 0.56   precision 0.45100311119736985   recall 0.46465183205680943
deviation 2/5   iterations 160/2000   F1 0.458573187845462   accuracy 0.5870967741935483   precision 0.46227547375476696   recall 0.4628464707382894
deviation 2/5   iterations 170/2000   F1 0.4670963117022266   accuracy 0.5961290322580645   precision 0.46836528497261737   recall 0.47288382806303964
deviation 2/5   iterations 180/2000   F1 0.4721058522490503   accuracy 0.5793548387096774   precision 0.4763374113904601   recall 0.4943330782412687
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deviation 2/5   iterations 190/2000   F1 0.4729884311884287   accuracy 0.5987096774193549   precision 0.47458049370418864   recall 0.4803930086775481
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deviation 2/5   iterations 200/2000   F1 0.47783941195974977   accuracy 0.6025806451612903   precision 0.47768322479664027   recall 0.4935994635703496
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deviation 2/5   iterations 210/2000   F1 0.48381205265520827   accuracy 0.5870967741935483   precision 0.4895403772452867   recall 0.5022645761225646
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deviation 2/5   iterations 220/2000   F1 0.48626909009211516   accuracy 0.607741935483871   precision 0.4853746054653178   recall 0.49915462915193426
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deviation 2/5   iterations 230/2000   F1 0.47899407361083846   accuracy 0.5767741935483871   precision 0.4908635461845127   recall 0.4967956411491153
deviation 2/5   iterations 240/2000   F1 0.47681119619183004   accuracy 0.607741935483871   precision 0.47995415669039615   recall 0.49963928771226923
deviation 2/5   iterations 250/2000   F1 0.4950442149835654   accuracy 0.6116129032258064   precision 0.49496484954150866   recall 0.5116857200313049
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deviation 2/5   iterations 260/2000   F1 0.4918982297297784   accuracy 0.6   precision 0.49526112360563085   recall 0.5091166369604676
deviation 2/5   iterations 270/2000   F1 0.499112190269563   accuracy 0.6154838709677419   precision 0.49906063538139006   recall 0.5146900467788776
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deviation 2/5   iterations 280/2000   F1 0.497539057968081   accuracy 0.6103225806451613   precision 0.4980113529458148   recall 0.5187887822978215
deviation 2/5   iterations 290/2000   F1 0.4999557807081458   accuracy 0.6232258064516129   precision 0.49859239268317207   recall 0.5126498011378186
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deviation 2/5   iterations 300/2000   F1 0.4960170911637564   accuracy 0.6129032258064516   precision 0.4957626044843533   recall 0.5149119228787474
deviation 2/5   iterations 310/2000   F1 0.492720291466009   accuracy 0.6103225806451613   precision 0.493723979237554   recall 0.5134652285299285
deviation 2/5   iterations 320/2000   F1 0.5044381646741816   accuracy 0.6283870967741936   precision 0.503735293065837   recall 0.5146771203689297
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deviation 2/5   iterations 330/2000   F1 0.5057156963767416   accuracy 0.6180645161290322   precision 0.5058248069438204   recall 0.5230652968599132
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deviation 2/5   iterations 340/2000   F1 0.5097297506120113   accuracy 0.6245161290322581   precision 0.5089149270085979   recall 0.5290577514362632
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deviation 2/5   iterations 350/2000   F1 0.5002036766955218   accuracy 0.6038709677419355   precision 0.504043745961837   recall 0.5250484372215811
deviation 2/5   iterations 360/2000   F1 0.5087978137567125   accuracy 0.6258064516129033   precision 0.5072705032589867   recall 0.5237503965871659
deviation 2/5   iterations 370/2000   F1 0.495164928309358   accuracy 0.5948387096774194   precision 0.5034226852718336   recall 0.5185389262473045
deviation 2/5   iterations 380/2000   F1 0.5096453705397984   accuracy 0.6296774193548387   precision 0.5093741127887469   recall 0.5231633084999
deviation 2/5   iterations 390/2000   F1 0.5063235400797117   accuracy 0.6193548387096774   precision 0.5077254404819409   recall 0.5262914997073559
deviation 2/5   iterations 400/2000   F1 0.49847253321085166   accuracy 0.6051612903225806   precision 0.5053545148042078   recall 0.5153471665554832
deviation 2/5   iterations 410/2000   F1 0.49797214188007305   accuracy 0.6129032258064516   precision 0.500820915874313   recall 0.516707630296167
deviation 2/5   iterations 420/2000   F1 0.5160377757181833   accuracy 0.632258064516129   precision 0.5195499568552043   recall 0.528201417683558
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deviation 2/5   iterations 430/2000   F1 0.496584067775571   accuracy 0.6129032258064516   precision 0.4991384827450401   recall 0.5175101312783287
deviation 2/5   iterations 440/2000   F1 0.5014112913621662   accuracy 0.6025806451612903   precision 0.5123344049856352   recall 0.5192875944589226
deviation 2/5   iterations 450/2000   F1 0.5168253858273039   accuracy 0.6425806451612903   precision 0.5140980135749423   recall 0.53088143880433
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deviation 2/5   iterations 460/2000   F1 0.49432640378375403   accuracy 0.5896774193548387   precision 0.5066028347705421   recall 0.5158998114871278
deviation 2/5   iterations 470/2000   F1 0.5091893311101253   accuracy 0.6232258064516129   precision 0.5096540579002273   recall 0.5309643969036175
deviation 2/5   iterations 480/2000   F1 0.5078026663828128   accuracy 0.6206451612903225   precision 0.5092604204835883   recall 0.5253780606752593
deviation 2/5   iterations 490/2000   F1 0.4857696612424453   accuracy 0.5819354838709677   precision 0.49692797051717824   recall 0.5098911579919819
deviation 2/5   iterations 500/2000   F1 0.5112000312000312   accuracy 0.6348387096774194   precision 0.510774247830573   recall 0.5233313518292261
deviation 2/5   iterations 510/2000   F1 0.5127213216333194   accuracy 0.6258064516129033   precision 0.5141825994895562   recall 0.529073950355059
deviation 2/5   iterations 520/2000   F1 0.4987529617159247   accuracy 0.5987096774193549   precision 0.5061663908349523   recall 0.5224093224614045
deviation 2/5   iterations 530/2000   F1 0.5101126485027992   accuracy 0.6206451612903225   precision 0.5137709991158267   recall 0.5263712671105171
deviation 2/5   iterations 540/2000   F1 0.5037328308579879   accuracy 0.6064516129032258   precision 0.5085718964729917   recall 0.5265587000547655
deviation 2/5   iterations 550/2000   F1 0.49138604582713413   accuracy 0.5961290322580645   precision 0.4992068907200382   recall 0.5147730048781654
deviation 2/5   iterations 560/2000   F1 0.5209959054731984   accuracy 0.6296774193548387   precision 0.5303258419789585   recall 0.5366628983727285
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deviation 2/5   iterations 570/2000   F1 0.5034248127169741   accuracy 0.6129032258064516   precision 0.5079538678375887   recall 0.5254954619301683
deviation 2/5   iterations 580/2000   F1 0.516076183003776   accuracy 0.6232258064516129   precision 0.5254784217735065   recall 0.5322754457607021
deviation 2/5   iterations 590/2000   F1 0.5048032775305503   accuracy 0.6180645161290322   precision 0.5073205111758633   recall 0.5230652968599132
deviation 2/5   iterations 600/2000   F1 0.49795795401812937   accuracy 0.5832258064516129   precision 0.520793305261294   recall 0.5204908959621987
deviation 2/5   iterations 610/2000   F1 0.5163717412562678   accuracy 0.6219354838709678   precision 0.524019798136646   recall 0.534118522743691
deviation 2/5   iterations 620/2000   F1 0.5167561121049493   accuracy 0.6141935483870967   precision 0.5299604392606234   recall 0.5370884063356426
deviation 2/5   iterations 630/2000   F1 0.51309203107798   accuracy 0.6193548387096774   precision 0.5156118829041081   recall 0.5343403988435608
deviation 2/5   iterations 640/2000   F1 0.5110571203145938   accuracy 0.6167741935483871   precision 0.5143724280374409   recall 0.5320912035125801
deviation 2/5   iterations 650/2000   F1 0.5075862830433463   accuracy 0.6141935483870967   precision 0.5208626464549928   recall 0.5203152440498017
deviation 2/5   iterations 660/2000   F1 0.5078960948339261   accuracy 0.6154838709677419   precision 0.5125002472616674   recall 0.5278717942298797
deviation 2/5   iterations 670/2000   F1 0.5057727200555976   accuracy 0.6141935483870967   precision 0.511728887687967   recall 0.5237159534315445
deviation 2/5   iterations 680/2000   F1 0.5004373163625511   accuracy 0.5974193548387097   precision 0.5161516067629605   recall 0.5174509806809077
deviation 2/5   iterations 690/2000   F1 0.5080767997434664   accuracy 0.6206451612903225   precision 0.5133225884102367   recall 0.5236459217422053
deviation 2/5   iterations 700/2000   F1 0.5013234311324299   accuracy 0.6051612903225806   precision 0.508733830610896   recall 0.5231417917542267
deviation 2/5   iterations 710/2000   F1 0.5051577580018459   accuracy 0.6090322580645161   precision 0.516957783700982   recall 0.5210132701870026
deviation 2/5   iterations 720/2000   F1 0.5185249935804244   accuracy 0.632258064516129   precision 0.5189994907352998   recall 0.5376646133309902
deviation 2/5   iterations 730/2000   F1 0.49924672511484713   accuracy 0.6   precision 0.513168241791226   recall 0.5153062601948877
deviation 2/5   iterations 740/2000   F1 0.5086397963168653   accuracy 0.6180645161290322   precision 0.5153866380124801   recall 0.524924572761698
deviation 2/5   iterations 750/2000   F1 0.49575545462233   accuracy 0.5948387096774194   precision 0.5111424005904838   recall 0.5116739389994533
deviation 2/5   iterations 760/2000   F1 0.5074123641357601   accuracy 0.6141935483870967   precision 0.5161148226285357   recall 0.5237795219159099
deviation 2/5   iterations 770/2000   F1 0.5115895656421733   accuracy 0.6219354838709678   precision 0.5165004164700137   recall 0.5287314004914326
deviation 2/5   iterations 780/2000   F1 0.48744313640901415   accuracy 0.5780645161290323   precision 0.5073240932397148   recall 0.5070775366975052
deviation 2/5   iterations 790/2000   F1 0.5069904320053147   accuracy 0.6154838709677419   precision 0.519276302930149   recall 0.5201407375155015
deviation 2/5   iterations 800/2000   F1 0.5136653177210029   accuracy 0.6296774193548387   precision 0.5154746498257948   recall 0.5301554327164818
deviation 2/5   iterations 810/2000   F1 0.505157293663685   accuracy 0.607741935483871   precision 0.5164791826184231   recall 0.5220538461878299
deviation 2/5   iterations 820/2000   F1 0.5005682309160918   accuracy 0.5935483870967742   precision 0.5255216002561224   recall 0.5173627047547426
deviation 2/5   iterations 830/2000   F1 0.5027277953413033   accuracy 0.6103225806451613   precision 0.5106452399110014   recall 0.5189794877509176
deviation 2/5   iterations 840/2000   F1 0.5049767373904186   accuracy 0.6129032258064516   precision 0.5120514202975216   recall 0.5220947525484253
deviation 2/5   iterations 850/2000   F1 0.5062264872823795   accuracy 0.6154838709677419   precision 0.5137211029416188   recall 0.5217457394798249
deviation 2/5   iterations 860/2000   F1 0.49714482421331807   accuracy 0.584516129032258   precision 0.5219082753544909   recall 0.520443526396629
deviation 2/5   iterations 870/2000   F1 0.5007734794821433   accuracy 0.6116129032258064   precision 0.5083876272443718   recall 0.5152771348661438
deviation 2/5   iterations 880/2000   F1 0.5052557099307823   accuracy 0.6103225806451613   precision 0.515901803500474   recall 0.5208387636527023
deviation 2/5   iterations 890/2000   F1 0.5066150738898706   accuracy 0.6141935483870967   precision 0.5159046520924359   recall 0.5228498839650175
deviation 2/5   iterations 900/2000   F1 0.510169351584136   accuracy 0.6232258064516129   precision 0.5176293649703022   recall 0.5241629781401317
deviation 2/5   iterations 910/2000   F1 0.505605458399576   accuracy 0.607741935483871   precision 0.5201977401129944   recall 0.5221174146721953
deviation 2/5   iterations 920/2000   F1 0.49654464446266117   accuracy 0.5858064516129032   precision 0.5165740697551007   recall 0.5192122449427058
deviation 2/5   iterations 930/2000   F1 0.5096906925784472   accuracy 0.6283870967741936   precision 0.5137130143679953   recall 0.5224717455676732
deviation 2/5   iterations 940/2000   F1 0.5098511045480743   accuracy 0.6167741935483871   precision 0.5190547147651241   recall 0.526092285731256
deviation 2/5   iterations 950/2000   F1 0.5022598655393421   accuracy 0.607741935483871   precision 0.5111872750584637   recall 0.5202581387704104
deviation 2/5   iterations 960/2000   F1 0.5080867052797079   accuracy 0.6219354838709678   precision 0.5137964009995671   recall 0.5234078467235396
deviation 2/5   iterations 970/2000   F1 0.5009697728785838   accuracy 0.607741935483871   precision 0.5133723921677427   recall 0.515927791437775
deviation 2/5   iterations 980/2000   F1 0.488675222236819   accuracy 0.5754838709677419   precision 0.51098414555313   recall 0.5126865350496334
deviation 2/5   iterations 990/2000   F1 0.5096460242869306   accuracy 0.6258064516129033   precision 0.5181858460025937   recall 0.5211521881875848
deviation 2/5   iterations 1000/2000   F1 0.4958161855321532   accuracy 0.5948387096774194   precision 0.5107253042061896   recall 0.5142721473990345
deviation 2/5   iterations 1010/2000   F1 0.5057496094091932   accuracy 0.607741935483871   precision 0.5202335385059128   recall 0.5221174146721953
deviation 2/5   iterations 1020/2000   F1 0.5028161796477003   accuracy 0.6025806451612903   precision 0.5187298116593964   recall 0.519351162943288
deviation 2/5   iterations 1030/2000   F1 0.5068621297393187   accuracy 0.6051612903225806   precision 0.522133609018855   recall 0.5251917731091075
deviation 2/5   iterations 1040/2000   F1 0.5036445343372368   accuracy 0.6232258064516129   precision 0.5104207207033633   recall 0.5136430075730763
deviation 2/5   iterations 1050/2000   F1 0.5121747225520811   accuracy 0.6103225806451613   precision 0.5282818030710886   recall 0.5306198017219614
deviation 2/5   iterations 1060/2000   F1 0.49641542657063714   accuracy 0.5987096774193549   precision 0.5101888705465364   recall 0.5128825583296067
deviation 2/5   iterations 1070/2000   F1 0.48831850336321825   accuracy 0.6025806451612903   precision 0.49621879742489133   recall 0.5041830026217705
deviation 2/5   iterations 1080/2000   F1 0.5036234696110942   accuracy 0.6103225806451613   precision 0.5139870738244946   recall 0.5182405552531212
deviation 2/5   iterations 1090/2000   F1 0.49969940789591144   accuracy 0.6180645161290322   precision 0.5041200886351297   recall 0.5134113957593849
deviation 2/5   iterations 1100/2000   F1 0.5012210909491972   accuracy 0.6219354838709678   precision 0.5059538027773313   recall 0.5120218066899571
deviation 2/5   iterations 1110/2000   F1 0.5009713806192768   accuracy 0.6103225806451613   precision 0.5127266907109028   recall 0.5138466394361205
deviation 2/5   iterations 1120/2000   F1 0.483196035803122   accuracy 0.5922580645161291   precision 0.4934861443433121   recall 0.5004462065813753
deviation 2/5   iterations 1130/2000   F1 0.5036872867248264   accuracy 0.6270967741935484   precision 0.5092321499946397   recall 0.5131194879701756
deviation 2/5   iterations 1140/2000   F1 0.4865102032548556   accuracy 0.5870967741935483   precision 0.4994624152288181   recall 0.5056652855043074
deviation 2/5   iterations 1150/2000   F1 0.5082247320167298   accuracy 0.6232258064516129   precision 0.5135835470148934   recall 0.5224308392070777
deviation 2/5   iterations 1160/2000   F1 0.502251775965914   accuracy 0.5987096774193549   precision 0.5176588620236161   recall 0.5226635963988658
deviation 2/5   iterations 1170/2000   F1 0.4986236923338137   accuracy 0.6012903225806452   precision 0.5086448039371881   recall 0.5168638925936416
deviation 2/5   iterations 1180/2000   F1 0.495737505544174   accuracy 0.5883870967741935   precision 0.5105046368507943   recall 0.5196657328562669
deviation 2/5   iterations 1190/2000   F1 0.5125383255491134   accuracy 0.6283870967741936   precision 0.5191232003776257   recall 0.5253242279047157
deviation 2/5   iterations 1200/2000   F1 0.48505743601869983   accuracy 0.5741935483870968   precision 0.5080361372745212   recall 0.512733904615203
deviation 2/5   iterations 1210/2000   F1 0.5141669605865467   accuracy 0.6283870967741936   precision 0.5208017472723355   recall 0.5279860047886622
deviation 2/5   iterations 1220/2000   F1 0.4910388347000751   accuracy 0.5935483870967742   precision 0.5022231317978475   recall 0.5099891696319687
deviation 2/5   iterations 1230/2000   F1 0.500450797093385   accuracy 0.6090322580645161   precision 0.512801461947434   recall 0.5140847144547861
deviation 2/5   iterations 1240/2000   F1 0.48538907015855015   accuracy 0.5793548387096774   precision 0.506534444763821   recall 0.502636251314935
deviation 2/5   iterations 1250/2000   F1 0.4860163827811816   accuracy 0.5948387096774194   precision 0.49651406256544234   recall 0.501829332445829
deviation 2/5   iterations 1260/2000   F1 0.5018177757905321   accuracy 0.6   precision 0.5173824261601128   recall 0.519827312980619
deviation 2/5   iterations 1270/2000   F1 0.5025129664020124   accuracy 0.6090322580645161   precision 0.5119541696373847   recall 0.5184150617874214
deviation 2/5   iterations 1280/2000   F1 0.4987099310229815   accuracy 0.6090322580645161   precision 0.5055242472324051   recall 0.5147600784682171
deviation 2/5   iterations 1290/2000   F1 0.511005237718701   accuracy 0.6103225806451613   precision 0.5313569431832345   recall 0.5272190923402186
deviation 2/5   iterations 1300/2000   F1 0.4980762394132458   accuracy 0.6012903225806452   precision 0.5067237663901639   recall 0.5193985325088574
deviation 2/5   iterations 1310/2000   F1 0.5068287973483738   accuracy 0.6103225806451613   precision 0.5237136405673267   recall 0.520099831154906
deviation 2/5   iterations 1320/2000   F1 0.4888768470382114   accuracy 0.5896774193548387   precision 0.5018367936856802   recall 0.5071119798531265
deviation 2/5   iterations 1330/2000   F1 0.5055929955852215   accuracy 0.6219354838709678   precision 0.5101799089703616   recall 0.5182114299243773
deviation 2/5   iterations 1340/2000   F1 0.48439548298263385   accuracy 0.5767741935483871   precision 0.5043624723387684   recall 0.5046538348322241
deviation 2/5   iterations 1350/2000   F1 0.501770303892151   accuracy 0.607741935483871   precision 0.5136617398342166   recall 0.5159913599221405
deviation 2/5   iterations 1360/2000   F1 0.49116041316939646   accuracy 0.5896774193548387   precision 0.5058054291936017   recall 0.5114423271857619
deviation 2/5   iterations 1370/2000   F1 0.4913696840755622   accuracy 0.5793548387096774   precision 0.5192665913639697   recall 0.5097555125002474
deviation 2/5   iterations 1380/2000   F1 0.5008527254289966   accuracy 0.6090322580645161   precision 0.5096964731646692   recall 0.5156897164191095
deviation 2/5   iterations 1390/2000   F1 0.5041930618401206   accuracy 0.5961290322580645   precision 0.5256688889837237   recall 0.5239422474183587
deviation 2/5   iterations 1400/2000   F1 0.5070406765049703   accuracy 0.6193548387096774   precision 0.5123761862050756   recall 0.5220882893434512
deviation 2/5   iterations 1410/2000   F1 0.5118123441933631   accuracy 0.6012903225806452   precision 0.5371448120528951   recall 0.5347573982834709
deviation 2/5   iterations 1420/2000   F1 0.5046713057131104   accuracy 0.6012903225806452   precision 0.5140712773170212   recall 0.5282499326272241
deviation 2/5   iterations 1430/2000   F1 0.5035304289485988   accuracy 0.5974193548387097   precision 0.5154050048277092   recall 0.527104881781436
deviation 2/5   iterations 1440/2000   F1 0.5096504308552808   accuracy 0.6129032258064516   precision 0.5283382247358013   recall 0.522412594970252
deviation 2/5   iterations 1450/2000   F1 0.4880509282831336   accuracy 0.6038709677419355   precision 0.4941134942417043   recall 0.5065431360026861
deviation 2/5   iterations 1460/2000   F1 0.5062725537257845   accuracy 0.6   precision 0.5262076874354102   recall 0.5260805046994045
deviation 2/5   iterations 1470/2000   F1 0.4939722413440158   accuracy 0.6103225806451613   precision 0.5003977381636956   recall 0.5074663107486045
deviation 2/5   iterations 1480/2000   F1 0.5017131360860624   accuracy 0.5935483870967742   precision 0.5201155575160036   recall 0.522559121553905
deviation 2/5   iterations 1490/2000   F1 0.5055060763361527   accuracy 0.6206451612903225   precision 0.511554056650909   recall 0.5175198669921505
deviation 2/5   iterations 1500/2000   F1 0.4956459361597451   accuracy 0.5819354838709677   precision 0.5258891869048841   recall 0.5191875375009061
deviation 2/5   iterations 1510/2000   F1 0.49687690782992383   accuracy 0.6180645161290322   precision 0.4994724644687433   recall 0.5132842587906542
deviation 2/5   iterations 1520/2000   F1 0.49672418605434565   accuracy 0.5896774193548387   precision 0.5150393892399615   recall 0.5169565864067509
deviation 2/5   iterations 1530/2000   F1 0.49722278074652176   accuracy 0.6116129032258064   precision 0.5024104378593542   recall 0.5117492885156701
deviation 2/5   iterations 1540/2000   F1 0.4941245981814922   accuracy 0.5948387096774194   precision 0.5079836867280646   recall 0.5099418000663992
deviation 2/5   iterations 1550/2000   F1 0.4969149397971635   accuracy 0.584516129032258   precision 0.5225064599483203   recall 0.5205070948809944
deviation 2/5   iterations 1560/2000   F1 0.5022514305503541   accuracy 0.607741935483871   precision 0.5105390097459636   recall 0.5193920693038834
deviation 2/5   iterations 1570/2000   F1 0.5044095240818427   accuracy 0.5935483870967742   precision 0.5273781137999467   recall 0.5270801743396364
deviation 2/5   iterations 1580/2000   F1 0.49335523962555944   accuracy 0.6129032258064516   precision 0.4986258499459198   recall 0.5070537291956386
deviation 2/5   iterations 1590/2000   F1 0.5099622985522027   accuracy 0.6   precision 0.5262144527843059   recall 0.5348047678490405
deviation 2/5   iterations 1600/2000   F1 0.5049065559967914   accuracy 0.6051612903225806   precision 0.5152386781831094   recall 0.5241985666738498
deviation 2/5   iterations 1610/2000   F1 0.5050274272804562   accuracy 0.6141935483870967   precision 0.5107508724530001   recall 0.5219202460141251
deviation 2/5   iterations 1620/2000   F1 0.5049924245466801   accuracy 0.5896774193548387   precision 0.5298760441377143   recall 0.5311315402930106
deviation 2/5   iterations 1630/2000   F1 0.5046098064791257   accuracy 0.5922580645161291   precision 0.5254275369757618   recall 0.5297893207891524
deviation 2/5   iterations 1640/2000   F1 0.5028618649937022   accuracy 0.607741935483871   precision 0.5106688785261669   recall 0.5211242082369375
deviation 2/5   iterations 1650/2000   F1 0.5087279416618201   accuracy 0.5961290322580645   precision 0.526313829539636   recall 0.5353918559363064
deviation 2/5   iterations 1660/2000   F1 0.5039775158517136   accuracy 0.584516129032258   precision 0.5322009557118516   recall 0.5328227728654693
deviation 2/5   iterations 1670/2000   F1 0.4866606811438808   accuracy 0.6012903225806452   precision 0.4940309082644849   recall 0.5025618017386512
deviation 2/5   iterations 1680/2000   F1 0.4987874802087287   accuracy 0.5819354838709677   precision 0.5322107899803333   recall 0.5217857459004872
deviation 2/5   iterations 1690/2000   F1 0.4937906093078123   accuracy 0.6012903225806452   precision 0.5024125598614947   recall 0.5114132018570179
deviation 2/5   iterations 1700/2000   F1 0.5042032130444237   accuracy 0.6   precision 0.519468291107463   recall 0.5232915908467274
deviation 2/5   iterations 1710/2000   F1 0.5086274083644748   accuracy 0.6038709677419355   precision 0.5219231640521287   recall 0.5296966269760431
deviation 2/5   iterations 1720/2000   F1 0.4969504625178634   accuracy 0.567741935483871   precision 0.5354390567506573   recall 0.5354092002331989
deviation 2/5   iterations 1730/2000   F1 0.49614422148532   accuracy 0.6154838709677419   precision 0.5027267960456293   recall 0.5084368550600923
deviation 2/5   iterations 1740/2000   F1 0.5023911311675756   accuracy 0.5767741935483871   precision 0.5334107393063691   recall 0.538390864857002
deviation 2/5   iterations 1750/2000   F1 0.5060885729911311   accuracy 0.6051612903225806   precision 0.5184736033632468   recall 0.5242621351582152
deviation 2/5   iterations 1760/2000   F1 0.5007603784083137   accuracy 0.6103225806451613   precision 0.5098351215372492   recall 0.514585571933917
deviation 2/5   iterations 1770/2000   F1 0.49833309904427575   accuracy 0.5935483870967742   precision 0.5115612158234292   recall 0.5189041382347007
deviation 2/5   iterations 1780/2000   F1 0.49090120670357235   accuracy 0.5741935483870968   precision 0.5145666725904864   recall 0.5173820943696649
deviation 2/5   iterations 1790/2000   F1 0.5147456746901651   accuracy 0.6129032258064516   precision 0.5306712507649269   recall 0.5329325655373075
deviation 2/5   iterations 1800/2000   F1 0.5010903240091961   accuracy 0.5754838709677419   precision 0.5347620176648961   recall 0.5377628704091405
deviation 2/5   iterations 1810/2000   F1 0.5066813242150793   accuracy 0.5961290322580645   precision 0.5246483830248942   recall 0.5308708031505751
deviation 2/5   iterations 1820/2000   F1 0.5032138274878529   accuracy 0.5896774193548387   precision 0.5219732334563701   recall 0.5308772663555493
deviation 2/5   iterations 1830/2000   F1 0.5018238591787746   accuracy 0.6025806451612903   precision 0.515588873637654   recall 0.5175554555258685
deviation 2/5   iterations 1840/2000   F1 0.5084448174522297   accuracy 0.6064516129032258   precision 0.5222328869387692   recall 0.5267494055078615
deviation 2/5   iterations 1850/2000   F1 0.5061152650164021   accuracy 0.5935483870967742   precision 0.5291883628926094   recall 0.5287487447883251
deviation 2/5   iterations 1860/2000   F1 0.5047693669685495   accuracy 0.5806451612903226   precision 0.5327982195145868   recall 0.5386062777518977
deviation 2/5   iterations 1870/2000   F1 0.5000256012706923   accuracy 0.5935483870967742   precision 0.5173969021825074   recall 0.5198337761855931
deviation 2/5   iterations 1880/2000   F1 0.5029318350062705   accuracy 0.5858064516129032   precision 0.5284699429196418   recall 0.5280636450610724
deviation 2/5   iterations 1890/2000   F1 0.49682957106786807   accuracy 0.5961290322580645   precision 0.5113524022761545   recall 0.5140340723803689
deviation 2/5   iterations 1900/2000   F1 0.5001201016249069   accuracy 0.5935483870967742   precision 0.5162545979745592   recall 0.5206362771677548
deviation 2/5   iterations 1910/2000   F1 0.49577623812229393   accuracy 0.584516129032258   precision 0.5244739703660588   recall 0.5161131790639938
deviation 2/5   iterations 1920/2000   F1 0.494821888280405   accuracy 0.5935483870967742   precision 0.5092313971738135   recall 0.5135170159824424
deviation 2/5   iterations 1930/2000   F1 0.5010358375350596   accuracy 0.5870967741935483   precision 0.5267417608545507   recall 0.5235587911941368
deviation 2/5   iterations 1940/2000   F1 0.5163307658342737   accuracy 0.6116129032258064   precision 0.5315772294033164   recall 0.5365077814533507
deviation 2/5   iterations 1950/2000   F1 0.4930957484148973   accuracy 0.5638709677419355   precision 0.5315976028466197   recall 0.526215250251206
deviation 2/5   iterations 1960/2000   F1 0.5022107285229462   accuracy 0.5832258064516129   precision 0.5244360821742956   recall 0.5309472980448886
deviation 2/5   iterations 1970/2000   F1 0.5104571102365355   accuracy 0.6064516129032258   precision 0.5303076000834308   recall 0.5268129739922268
deviation 2/5   iterations 1980/2000   F1 0.49495824795191745   accuracy 0.5716129032258065   precision 0.5292318819869081   recall 0.5223792971927274
deviation 2/5   iterations 1990/2000   F1 0.4921258993413895   accuracy 0.5896774193548387   precision 0.5097569748684952   recall 0.5088441187861806
deviation 2/5   iterations 2000/2000   F1 0.5053303833531767   accuracy 0.5961290322580645   precision 0.532785905334925   recall 0.5276607992219282

deviation 3/5   iterations 10/2000   F1 0.25231848690983716   accuracy 0.2739018087855297   precision 0.30950955807469327   recall 0.31608021493269334
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deviation 3/5   iterations 20/2000   F1 0.11839971364830805   accuracy 0.13049095607235142   precision 0.32296777296777296   recall 0.3175026576777434
deviation 3/5   iterations 30/2000   F1 0.16618268276496126   accuracy 0.16925064599483206   precision 0.36921761023446403   recall 0.3275776891652912
deviation 3/5   iterations 40/2000   F1 0.3556533633949188   accuracy 0.3979328165374677   precision 0.3985102359042593   recall 0.39166188911841343
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deviation 3/5   iterations 50/2000   F1 0.3568077654191675   accuracy 0.42248062015503873   precision 0.42160163581995413   recall 0.3959288894223237
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deviation 3/5   iterations 60/2000   F1 0.2873957016293991   accuracy 0.35658914728682173   precision 0.39173075934991325   recall 0.3717081339818829
deviation 3/5   iterations 70/2000   F1 0.3908772392579815   accuracy 0.4664082687338501   precision 0.4345995808761766   recall 0.4210165310957929
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deviation 3/5   iterations 80/2000   F1 0.39737353916974866   accuracy 0.4702842377260982   precision 0.426593207221609   recall 0.4165679388677141
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deviation 3/5   iterations 90/2000   F1 0.371833264003288   accuracy 0.4573643410852713   precision 0.4325099218922664   recall 0.4085196044263831
deviation 3/5   iterations 100/2000   F1 0.36877428057992234   accuracy 0.4819121447028424   precision 0.4234479627738055   recall 0.4006639295885717
deviation 3/5   iterations 110/2000   F1 0.3766625523002299   accuracy 0.49224806201550386   precision 0.4268710138625343   recall 0.40793719854408367
deviation 3/5   iterations 120/2000   F1 0.4142272636350923   accuracy 0.5167958656330749   precision 0.44948235003006287   recall 0.43659970064796755
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deviation 3/5   iterations 130/2000   F1 0.4026507711259952   accuracy 0.5077519379844961   precision 0.44703933541293334   recall 0.4283580507406368
deviation 3/5   iterations 140/2000   F1 0.40386146592576555   accuracy 0.5258397932816538   precision 0.4481219861373109   recall 0.42222516267234117
deviation 3/5   iterations 150/2000   F1 0.40688313614966704   accuracy 0.5361757105943152   precision 0.4518655718966895   recall 0.4260399048048404
deviation 3/5   iterations 160/2000   F1 0.42468389627587655   accuracy 0.5310077519379846   precision 0.46354503396756924   recall 0.44329019479853504
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deviation 3/5   iterations 170/2000   F1 0.439113804030219   accuracy 0.5490956072351422   precision 0.4723616372559703   recall 0.4546535861453642
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deviation 3/5   iterations 180/2000   F1 0.4023464427240249   accuracy 0.5348837209302325   precision 0.46226729373175246   recall 0.42188837728882683
deviation 3/5   iterations 190/2000   F1 0.4213799844526595   accuracy 0.5490956072351422   precision 0.46228908244856964   recall 0.43369877990722666
deviation 3/5   iterations 200/2000   F1 0.4405696476551986   accuracy 0.5387596899224806   precision 0.47467924770711734   recall 0.45782377942557756
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deviation 3/5   iterations 210/2000   F1 0.41786295116914424   accuracy 0.5387596899224806   precision 0.45988636180186243   recall 0.4316811829529208
deviation 3/5   iterations 220/2000   F1 0.4199037891483683   accuracy 0.5426356589147286   precision 0.4674512987012987   recall 0.43555733021011617
deviation 3/5   iterations 230/2000   F1 0.4321885546418516   accuracy 0.5568475452196382   precision 0.4691656228103012   recall 0.44750349636188985
deviation 3/5   iterations 240/2000   F1 0.4597543962776283   accuracy 0.5723514211886305   precision 0.4803504299057142   recall 0.4685853349641354
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deviation 3/5   iterations 250/2000   F1 0.42139386136231377   accuracy 0.5516795865633075   precision 0.4926439568025128   recall 0.4467322840681412
deviation 3/5   iterations 260/2000   F1 0.46062854121880203   accuracy 0.5697674418604651   precision 0.4817433860361013   recall 0.4697932286953936
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deviation 3/5   iterations 270/2000   F1 0.45133881438551565   accuracy 0.5684754521963824   precision 0.48482737485500554   recall 0.4641160830679345
deviation 3/5   iterations 280/2000   F1 0.4434140388127548   accuracy 0.5490956072351422   precision 0.49488120634474103   recall 0.46263891679720376
deviation 3/5   iterations 290/2000   F1 0.4651291830182474   accuracy 0.5813953488372093   precision 0.500755014649538   recall 0.47803102541065395
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deviation 3/5   iterations 300/2000   F1 0.466154533592682   accuracy 0.5633074935400517   precision 0.5064010884966139   recall 0.4840960317122626
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deviation 3/5   iterations 310/2000   F1 0.4601121393330246   accuracy 0.5633074935400517   precision 0.5047441489611182   recall 0.47804360977199023
deviation 3/5   iterations 320/2000   F1 0.44760171164541135   accuracy 0.5426356589147286   precision 0.5058303219506631   recall 0.47414417939675246
deviation 3/5   iterations 330/2000   F1 0.46962887344758436   accuracy 0.5710594315245479   precision 0.5069180578437811   recall 0.48559225898632025
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deviation 3/5   iterations 340/2000   F1 0.4501849662956629   accuracy 0.5555555555555556   precision 0.5115627967884451   recall 0.46963032885190703
deviation 3/5   iterations 350/2000   F1 0.4755968000158108   accuracy 0.58656330749354   precision 0.5085923410014164   recall 0.4877200818286824
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deviation 3/5   iterations 360/2000   F1 0.44222474621614155   accuracy 0.5297157622739018   precision 0.5113549704021229   recall 0.46987594935069205
deviation 3/5   iterations 370/2000   F1 0.4727763910513436   accuracy 0.5917312661498708   precision 0.5090208119199114   recall 0.480845372304026
deviation 3/5   iterations 380/2000   F1 0.46483097286337144   accuracy 0.541343669250646   precision 0.5174937911448353   recall 0.4925409579970091
deviation 3/5   iterations 390/2000   F1 0.48460571320327794   accuracy 0.5930232558139535   precision 0.5165024161479773   recall 0.49996716588459167
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deviation 3/5   iterations 400/2000   F1 0.4510683538797562   accuracy 0.5555555555555556   precision 0.5173351158645276   recall 0.46963032885190703
deviation 3/5   iterations 410/2000   F1 0.4766575688239348   accuracy 0.5581395348837209   precision 0.5216986113725244   recall 0.5023467169450844
deviation 3/5   iterations 420/2000   F1 0.4539305256972132   accuracy 0.5749354005167958   precision 0.507749246413991   recall 0.468581481772065
deviation 3/5   iterations 430/2000   F1 0.4670501370241123   accuracy 0.5478036175710594   precision 0.5236208410386138   recall 0.493412066344753
deviation 3/5   iterations 440/2000   F1 0.45374078904560644   accuracy 0.5555555555555556   precision 0.5137117329391253   recall 0.4748860008531131
deviation 3/5   iterations 450/2000   F1 0.4829512436808249   accuracy 0.5891472868217055   precision 0.5244133936403483   recall 0.49702353209983635
deviation 3/5   iterations 460/2000   F1 0.47588696532933855   accuracy 0.5697674418604651   precision 0.5264002101644515   recall 0.49547848406241873
deviation 3/5   iterations 470/2000   F1 0.478859473475661   accuracy 0.5981912144702842   precision 0.5162661532969899   recall 0.4922957064208691
deviation 3/5   iterations 480/2000   F1 0.46653338738556277   accuracy 0.5710594315245479   precision 0.5234322131698802   recall 0.48666053599213416
deviation 3/5   iterations 490/2000   F1 0.46875962583036285   accuracy 0.5775193798449613   precision 0.5196125907990314   recall 0.4874637625731912
deviation 3/5   iterations 500/2000   F1 0.46861289775012455   accuracy 0.5658914728682171   precision 0.5211585261353898   recall 0.48641454657070415
deviation 3/5   iterations 510/2000   F1 0.4705379768698023   accuracy 0.5762273901808785   precision 0.5174687226411364   recall 0.48490573493531025
deviation 3/5   iterations 520/2000   F1 0.4715896290089839   accuracy 0.5671834625322998   precision 0.5249978199377593   recall 0.48883681067521123
deviation 3/5   iterations 530/2000   F1 0.46836271258876955   accuracy 0.5607235142118863   precision 0.528052414500819   recall 0.49428965133448743
deviation 3/5   iterations 540/2000   F1 0.46861114991488795   accuracy 0.5671834625322998   precision 0.5222119103292653   recall 0.4862429155579517
deviation 3/5   iterations 550/2000   F1 0.45926554647580686   accuracy 0.5594315245478036   precision 0.5148148540179293   recall 0.4777617528711815
deviation 3/5   iterations 560/2000   F1 0.48790551759384826   accuracy 0.5891472868217055   precision 0.5275541456287877   recall 0.5040084675125489
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deviation 3/5   iterations 570/2000   F1 0.4439330932941157   accuracy 0.5452196382428941   precision 0.5208687667906918   recall 0.47480131261037445
deviation 3/5   iterations 580/2000   F1 0.49811290208543574   accuracy 0.5904392764857881   precision 0.5289998564714679   recall 0.5186034572642878
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deviation 3/5   iterations 590/2000   F1 0.45437781125265825   accuracy 0.5478036175710594   precision 0.525310815510346   recall 0.485766144526348
deviation 3/5   iterations 600/2000   F1 0.4853693803266658   accuracy 0.5956072351421189   precision 0.5249409378032519   recall 0.4996239038590866
deviation 3/5   iterations 610/2000   F1 0.47124048987641043   accuracy 0.5490956072351422   precision 0.527662468009097   recall 0.5046842928068528
deviation 3/5   iterations 620/2000   F1 0.47692959766639675   accuracy 0.5813953488372093   precision 0.5230383509476375   recall 0.497392331770659
deviation 3/5   iterations 630/2000   F1 0.48267613774391815   accuracy 0.5775193798449613   precision 0.531053455294442   recall 0.5111482274619622
deviation 3/5   iterations 640/2000   F1 0.48357374153664995   accuracy 0.5749354005167958   precision 0.5231789185397949   recall 0.5051675404804471
deviation 3/5   iterations 650/2000   F1 0.46007994399352264   accuracy 0.5594315245478036   precision 0.5252299067775258   recall 0.4920031507633542
deviation 3/5   iterations 660/2000   F1 0.4798148673049174   accuracy 0.5839793281653747   precision 0.5252897386577505   recall 0.4978458196842202
deviation 3/5   iterations 670/2000   F1 0.4975297813424237   accuracy 0.599483204134367   precision 0.5262958501158042   recall 0.5120106046404401
deviation 3/5   iterations 680/2000   F1 0.4690070821771055   accuracy 0.5723514211886305   precision 0.5300039139316074   recall 0.49800064422092105
deviation 3/5   iterations 690/2000   F1 0.4757482215453435   accuracy 0.5697674418604651   precision 0.5205290105287362   recall 0.4990048926521185
deviation 3/5   iterations 700/2000   F1 0.4791513303564068   accuracy 0.5891472868217055   precision 0.5192927323995286   recall 0.49622678216077015
deviation 3/5   iterations 710/2000   F1 0.47690278479878856   accuracy 0.5723514211886305   precision 0.5371929104002687   recall 0.5067148430451399
deviation 3/5   iterations 720/2000   F1 0.49858987066930993   accuracy 0.5878552971576227   precision 0.5314690184661929   recall 0.525202786530126
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deviation 3/5   iterations 730/2000   F1 0.49458007463314685   accuracy 0.603359173126615   precision 0.5315928122587001   recall 0.5125639886079966
deviation 3/5   iterations 740/2000   F1 0.4839468576027716   accuracy 0.5723514211886305   precision 0.5357373005701974   recall 0.5189554504590587
deviation 3/5   iterations 750/2000   F1 0.4888322043161171   accuracy 0.5813953488372093   precision 0.5309596680753274   recall 0.5157532428915369
deviation 3/5   iterations 760/2000   F1 0.4697603091296119   accuracy 0.562015503875969   precision 0.5407406159444706   recall 0.5118858268036075
deviation 3/5   iterations 770/2000   F1 0.48930536530622354   accuracy 0.5839793281653747   precision 0.5349956695443243   recall 0.5198689029281719
deviation 3/5   iterations 780/2000   F1 0.48613108977575575   accuracy 0.5749354005167958   precision 0.5330729847494554   recall 0.5194089383726199
deviation 3/5   iterations 790/2000   F1 0.48864509450431837   accuracy 0.58656330749354   precision 0.5360472035290449   recall 0.5213227860808601
deviation 3/5   iterations 800/2000   F1 0.49151347069730617   accuracy 0.58656330749354   precision 0.5383387347275169   recall 0.5239166811981197
deviation 3/5   iterations 810/2000   F1 0.4907171044518435   accuracy 0.5749354005167958   precision 0.5389129171826398   recall 0.5281910189635258
deviation 3/5   iterations 820/2000   F1 0.4624520177250668   accuracy 0.5529715762273901   precision 0.5438213597360751   recall 0.504440926835343
deviation 3/5   iterations 830/2000   F1 0.4975485703125559   accuracy 0.5878552971576227   precision 0.5381383513562747   recall 0.5306621038313929
deviation 3/5   iterations 840/2000   F1 0.46353669586227725   accuracy 0.5361757105943152   precision 0.537708796477382   recall 0.5102664203575124
deviation 3/5   iterations 850/2000   F1 0.5007381766233788   accuracy 0.603359173126615   precision 0.5305510140054467   recall 0.5203456739597755
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deviation 3/5   iterations 860/2000   F1 0.4676652677497752   accuracy 0.5490956072351422   precision 0.538425904189555   recall 0.511940755286313
deviation 3/5   iterations 870/2000   F1 0.51056851524364   accuracy 0.599483204134367   precision 0.5349462365591399   recall 0.5410186232971043
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deviation 3/5   iterations 880/2000   F1 0.4834255075538758   accuracy 0.5736434108527132   precision 0.5404887112991473   recall 0.5250398866866394
deviation 3/5   iterations 890/2000   F1 0.5051230147940019   accuracy 0.6098191214470284   precision 0.5336299701398711   recall 0.5282695994869188
deviation 3/5   iterations 900/2000   F1 0.4926270223076267   accuracy 0.5723514211886305   precision 0.5444125499192549   recall 0.5365196116408704
deviation 3/5   iterations 910/2000   F1 0.5009679861332201   accuracy 0.5956072351421189   precision 0.5463450881386583   recall 0.5393469118182238
deviation 3/5   iterations 920/2000   F1 0.47855472638914315   accuracy 0.5710594315245479   precision 0.5414051357076936   recall 0.5228571353615716
deviation 3/5   iterations 930/2000   F1 0.49916429687856817   accuracy 0.5878552971576227   precision 0.5337294525567945   recall 0.5296617085922658
deviation 3/5   iterations 940/2000   F1 0.4779315199148928   accuracy 0.5581395348837209   precision 0.5447751815368574   recall 0.526438472433977
deviation 3/5   iterations 950/2000   F1 0.4965628623358324   accuracy 0.5904392764857881   precision 0.5431542840461246   recall 0.5330485004565212
deviation 3/5   iterations 960/2000   F1 0.4744790089536821   accuracy 0.5400516795865633   precision 0.5423076662314599   recall 0.5209917394940463
deviation 3/5   iterations 970/2000   F1 0.49182748216811234   accuracy 0.5775193798449613   precision 0.5382767843876567   recall 0.5269152434655807
deviation 3/5   iterations 980/2000   F1 0.4807055621283813   accuracy 0.5633074935400517   precision 0.5458238509447623   recall 0.5238869214380867
deviation 3/5   iterations 990/2000   F1 0.49187736435505824   accuracy 0.5749354005167958   precision 0.5346217925822864   recall 0.523664215134699
deviation 3/5   iterations 1000/2000   F1 0.48229778726492123   accuracy 0.5633074935400517   precision 0.5404666901911819   recall 0.5238190396713999
deviation 3/5   iterations 1010/2000   F1 0.4908225910764748   accuracy 0.58656330749354   precision 0.5333689458689458   recall 0.5194577591359799
deviation 3/5   iterations 1020/2000   F1 0.47647026540227994   accuracy 0.541343669250646   precision 0.5486582606366817   recall 0.5323318477228333
deviation 3/5   iterations 1030/2000   F1 0.4875089132017174   accuracy 0.5813953488372093   precision 0.5279854638931637   recall 0.5148886111857838
deviation 3/5   iterations 1040/2000   F1 0.48301192522561237   accuracy 0.5581395348837209   precision 0.538197316423123   recall 0.525370195428163
deviation 3/5   iterations 1050/2000   F1 0.49492786116617893   accuracy 0.58656330749354   precision 0.5351823174741054   recall 0.5282398397268858
deviation 3/5   iterations 1060/2000   F1 0.4708078097256407   accuracy 0.541343669250646   precision 0.5517322889403383   recall 0.5289412026665073
deviation 3/5   iterations 1070/2000   F1 0.5081579918789222   accuracy 0.599483204134367   precision 0.537305283076784   recall 0.5366954647683383
deviation 3/5   iterations 1080/2000   F1 0.4617816927176919   accuracy 0.524547803617571   precision 0.5390912003341984   recall 0.5163379033011116
deviation 3/5   iterations 1090/2000   F1 0.49647667690160846   accuracy 0.5904392764857881   precision 0.5321583136703977   recall 0.5240627745655546
deviation 3/5   iterations 1100/2000   F1 0.46564188457876815   accuracy 0.541343669250646   precision 0.5400536933561647   recall 0.5201591220756014
deviation 3/5   iterations 1110/2000   F1 0.4837057167256895   accuracy 0.5645994832041343   precision 0.5429615600621466   recall 0.5298355941322935
deviation 3/5   iterations 1120/2000   F1 0.47860209384650143   accuracy 0.5555555555555556   precision 0.5343872819035751   recall 0.5187285220409555
deviation 3/5   iterations 1130/2000   F1 0.485793937238401   accuracy 0.5645994832041343   precision 0.5383377059744086   recall 0.5279705671874133
deviation 3/5   iterations 1140/2000   F1 0.4715669904782631   accuracy 0.5452196382428941   precision 0.5417753333134757   recall 0.5203730972097232
deviation 3/5   iterations 1150/2000   F1 0.4944588434460379   accuracy 0.5839793281653747   precision 0.5363375919473481   recall 0.5277184700466376
deviation 3/5   iterations 1160/2000   F1 0.48137210727306057   accuracy 0.5529715762273901   precision 0.5395298948186881   recall 0.5234628243619134
deviation 3/5   iterations 1170/2000   F1 0.500275591850794   accuracy 0.5801033591731266   precision 0.5410792108672392   recall 0.5387447070873074
deviation 3/5   iterations 1180/2000   F1 0.4919680102166324   accuracy 0.5736434108527132   precision 0.5486142714323234   recall 0.537280494100558
deviation 3/5   iterations 1190/2000   F1 0.49413179413179414   accuracy 0.5749354005167958   precision 0.5347513630059781   recall 0.5289198871359052
deviation 3/5   iterations 1200/2000   F1 0.4821089187001191   accuracy 0.5645994832041343   precision 0.5440402032080045   recall 0.528106330720787
deviation 3/5   iterations 1210/2000   F1 0.5080768180971406   accuracy 0.5968992248062015   precision 0.5432487684258968   recall 0.5433626758008634
deviation 3/5   iterations 1220/2000   F1 0.4711541482608754   accuracy 0.5439276485788114   precision 0.5500695072650424   recall 0.5241390185788625
deviation 3/5   iterations 1230/2000   F1 0.4896998181261593   accuracy 0.5762273901808785   precision 0.5431737600726364   recall 0.5334108234853532
deviation 3/5   iterations 1240/2000   F1 0.49622571402289095   accuracy 0.5917312661498708   precision 0.5431193534315301   recall 0.5399975683898551
deviation 3/5   iterations 1250/2000   F1 0.4875376020627418   accuracy 0.562015503875969   precision 0.5404163986153233   recall 0.5371637915705111
deviation 3/5   iterations 1260/2000   F1 0.4905043799780642   accuracy 0.5684754521963824   precision 0.5368086194198763   recall 0.5290491740272882
deviation 3/5   iterations 1270/2000   F1 0.4963596035191884   accuracy 0.5891472868217055   precision 0.5433547004171019   recall 0.5376790535314137
deviation 3/5   iterations 1280/2000   F1 0.5016300685862233   accuracy 0.5968992248062015   precision 0.5474090621990744   recall 0.5400399125112244
deviation 3/5   iterations 1290/2000   F1 0.4950947169768714   accuracy 0.5762273901808785   precision 0.5455002506171175   recall 0.541260390603819
deviation 3/5   iterations 1300/2000   F1 0.4959164567070064   accuracy 0.5788113695090439   precision 0.5565636842564491   recall 0.5427142737565073
deviation 3/5   iterations 1310/2000   F1 0.49341382544421825   accuracy 0.5852713178294574   precision 0.5483565533420593   recall 0.5365325649248517
deviation 3/5   iterations 1320/2000   F1 0.4685278961226819   accuracy 0.5400516795865633   precision 0.5550033313525291   recall 0.5291807154459467
deviation 3/5   iterations 1330/2000   F1 0.5043601620951477   accuracy 0.5917312661498708   precision 0.5432151095251437   recall 0.5397260413231074
deviation 3/5   iterations 1340/2000   F1 0.4932768789083548   accuracy 0.5801033591731266   precision 0.5473265197295216   recall 0.5390162341540551
deviation 3/5   iterations 1350/2000   F1 0.4809263819248508   accuracy 0.5581395348837209   precision 0.5425479211806934   recall 0.5272352223730432
deviation 3/5   iterations 1360/2000   F1 0.49412848737774406   accuracy 0.5697674418604651   precision 0.5462304579951639   recall 0.5403892822560751
deviation 3/5   iterations 1370/2000   F1 0.4786124568644336   accuracy 0.5581395348837209   precision 0.5493121742804826   recall 0.5291002493179234
deviation 3/5   iterations 1380/2000   F1 0.48739330203109416   accuracy 0.5607235142118863   precision 0.5442504697823847   recall 0.5338090139935638
deviation 3/5   iterations 1390/2000   F1 0.47732774283717677   accuracy 0.5658914728682171   precision 0.5545974295974295   recall 0.5333940170093014
deviation 3/5   iterations 1400/2000   F1 0.499644401763711   accuracy 0.5801033591731266   precision 0.5481291919648084   recall 0.5432715109161341
deviation 3/5   iterations 1410/2000   F1 0.4889330081756671   accuracy 0.5658914728682171   precision 0.5464663967776892   recall 0.5348517533540602
deviation 3/5   iterations 1420/2000   F1 0.48185039004711133   accuracy 0.5697674418604651   precision 0.5493483021905631   recall 0.5300815835537236
deviation 3/5   iterations 1430/2000   F1 0.4909328528695321   accuracy 0.5749354005167958   precision 0.5442998288678539   recall 0.5371088630878055
deviation 3/5   iterations 1440/2000   F1 0.4935367317533715   accuracy 0.5736434108527132   precision 0.5532082782701959   recall 0.5408069026902577
deviation 3/5   iterations 1450/2000   F1 0.5099532228416003   accuracy 0.5930232558139535   precision 0.5422145204148459   recall 0.5491332408403271
deviation 3/5   iterations 1460/2000   F1 0.4700662437259843   accuracy 0.5529715762273901   precision 0.551888192223585   recall 0.5291257869632412
deviation 3/5   iterations 1470/2000   F1 0.48070673469861896   accuracy 0.5581395348837209   precision 0.5412117163785065   recall 0.5272352223730432
deviation 3/5   iterations 1480/2000   F1 0.5000964209147841   accuracy 0.5917312661498708   precision 0.5485874332326491   recall 0.5407943183289214
deviation 3/5   iterations 1490/2000   F1 0.4786124568644336   accuracy 0.5581395348837209   precision 0.5493121742804826   recall 0.5291002493179234
deviation 3/5   iterations 1500/2000   F1 0.48841290754334227   accuracy 0.5633074935400517   precision 0.5333226358579375   recall 0.5306682115507385
deviation 3/5   iterations 1510/2000   F1 0.471750961475796   accuracy 0.5568475452196382   precision 0.5464293057097546   recall 0.5232194583904036
deviation 3/5   iterations 1520/2000   F1 0.48656368457434923   accuracy 0.5671834625322998   precision 0.5436310189094228   recall 0.5302890820458548
deviation 3/5   iterations 1530/2000   F1 0.4670697415774021   accuracy 0.5426356589147286   precision 0.5390291635170258   recall 0.5137314238225158
deviation 3/5   iterations 1540/2000   F1 0.47396155700490605   accuracy 0.5581395348837209   precision 0.5432212319837116   recall 0.5203181687270176
deviation 3/5   iterations 1550/2000   F1 0.46830108897126976   accuracy 0.5452196382428941   precision 0.5440939725000112   recall 0.514252793502764
deviation 3/5   iterations 1560/2000   F1 0.477344331021678   accuracy 0.5581395348837209   precision 0.5325049651801512   recall 0.5201824051936438
deviation 3/5   iterations 1570/2000   F1 0.5064635716399312   accuracy 0.5930232558139535   precision 0.5451305364365755   recall 0.5439454506058079
deviation 3/5   iterations 1580/2000   F1 0.4780568885868924   accuracy 0.562015503875969   precision 0.5444187693879593   recall 0.5267882111014727
deviation 3/5   iterations 1590/2000   F1 0.4662692776100996   accuracy 0.537467700258398   precision 0.529993001146581   recall 0.5046354720434928
deviation 3/5   iterations 1600/2000   F1 0.48208784219766204   accuracy 0.5671834625322998   precision 0.5469335532715814   recall 0.5304248455792285
deviation 3/5   iterations 1610/2000   F1 0.5130738207747719   accuracy 0.6046511627906976   precision 0.5434229054701496   recall 0.5447910213082342
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deviation 3/5   iterations 1620/2000   F1 0.47800796745387525   accuracy 0.5594315245478036   precision 0.5420919945982362   recall 0.5218079193590847
deviation 3/5   iterations 1630/2000   F1 0.48350742166025285   accuracy 0.5736434108527132   precision 0.541025641025641   recall 0.5277016635705859
deviation 3/5   iterations 1640/2000   F1 0.4879773023360654   accuracy 0.5633074935400517   precision 0.5385098517281057   recall 0.5262771712552855
deviation 3/5   iterations 1650/2000   F1 0.470299857173043   accuracy 0.5439276485788114   precision 0.5444321684776167   recall 0.5214772416949159
deviation 3/5   iterations 1660/2000   F1 0.5135855101031764   accuracy 0.599483204134367   precision 0.5414678673901107   recall 0.5490039539489439
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deviation 3/5   iterations 1670/2000   F1 0.47847704844052963   accuracy 0.5503875968992248   precision 0.5530984499371596   recall 0.5284007719829321
deviation 3/5   iterations 1680/2000   F1 0.5212495761890924   accuracy 0.6149870801033591   precision 0.547352734542179   recall 0.5547260671476927
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deviation 3/5   iterations 1690/2000   F1 0.468787727091373   accuracy 0.5400516795865633   precision 0.5480330229113092   recall 0.5193982396159138
deviation 3/5   iterations 1700/2000   F1 0.5032887778538383   accuracy 0.5930232558139535   precision 0.5363636363636364   recall 0.5377572651321616
deviation 3/5   iterations 1710/2000   F1 0.4658948136966217   accuracy 0.5387596899224806   precision 0.5346032734696703   recall 0.5107199082710735
deviation 3/5   iterations 1720/2000   F1 0.47172324597687804   accuracy 0.5529715762273901   precision 0.5360196490807144   recall 0.5112900987146817
deviation 3/5   iterations 1730/2000   F1 0.4807410510636317   accuracy 0.5684754521963824   precision 0.5292956490126478   recall 0.5168764483800565
deviation 3/5   iterations 1740/2000   F1 0.47339914049536097   accuracy 0.5478036175710594   precision 0.551484696882068   recall 0.523556243773918
deviation 3/5   iterations 1750/2000   F1 0.4849397098562343   accuracy 0.5697674418604651   precision 0.5429307471826008   recall 0.5237576345467035
deviation 3/5   iterations 1760/2000   F1 0.45447061224766977   accuracy 0.5116279069767442   precision 0.5436155984936474   recall 0.511205041549298
deviation 3/5   iterations 1770/2000   F1 0.49691969108234035   accuracy 0.5801033591731266   precision 0.5408461798367955   recall 0.5370833254424878
deviation 3/5   iterations 1780/2000   F1 0.4681734749482119   accuracy 0.5452196382428941   precision 0.5512142439248626   recall 0.5213734924488503
deviation 3/5   iterations 1790/2000   F1 0.479754647009958   accuracy 0.562015503875969   precision 0.5365146794393487   recall 0.5195996303886994
deviation 3/5   iterations 1800/2000   F1 0.4855737912107753   accuracy 0.5710594315245479   precision 0.5521810906575729   recall 0.5280449255960908
deviation 3/5   iterations 1810/2000   F1 0.4789475132130094   accuracy 0.5542635658914729   precision 0.5291156029319746   recall 0.518832271287021
deviation 3/5   iterations 1820/2000   F1 0.4798323507502942   accuracy 0.5710594315245479   precision 0.5343488132120053   recall 0.5174656998269916
deviation 3/5   iterations 1830/2000   F1 0.47199510404312983   accuracy 0.5516795865633075   precision 0.5325358154256206   recall 0.5123263614331873
deviation 3/5   iterations 1840/2000   F1 0.4475362925577873   accuracy 0.5116279069767442   precision 0.5307718636415535   recall 0.5006936975468858
deviation 3/5   iterations 1850/2000   F1 0.472453980979388   accuracy 0.5555555555555556   precision 0.5256521970139737   recall 0.5090818097442965
deviation 3/5   iterations 1860/2000   F1 0.48081080718037966   accuracy 0.5607235142118863   precision 0.5312225416482382   recall 0.5197033796347649
deviation 3/5   iterations 1870/2000   F1 0.4733686110562469   accuracy 0.5542635658914729   precision 0.531267536331239   recall 0.5190359165870818
deviation 3/5   iterations 1880/2000   F1 0.4609265187734168   accuracy 0.5335917312661499   precision 0.5308245924968139   recall 0.5088804189715109
deviation 3/5   iterations 1890/2000   F1 0.47334115433735297   accuracy 0.5568475452196382   precision 0.5302767443992492   recall 0.5115719556154904
deviation 3/5   iterations 1900/2000   F1 0.4403479305000624   accuracy 0.5051679586563308   precision 0.5511187767498853   recall 0.5026880113831492
deviation 3/5   iterations 1910/2000   F1 0.48005150424482773   accuracy 0.5645994832041343   precision 0.5368788405130926   recall 0.5174592231850009
deviation 3/5   iterations 1920/2000   F1 0.4614832692461624   accuracy 0.5335917312661499   precision 0.5301875127287539   recall 0.5017597200254245
deviation 3/5   iterations 1930/2000   F1 0.47750526439568963   accuracy 0.5645994832041343   precision 0.5451426836672738   recall 0.5211213953080746
deviation 3/5   iterations 1940/2000   F1 0.47144496244623807   accuracy 0.537467700258398   precision 0.5368316808808767   recall 0.5142821843401518
deviation 3/5   iterations 1950/2000   F1 0.4538010593892947   accuracy 0.5258397932816538   precision 0.5405077174006916   recall 0.5057228100526338
deviation 3/5   iterations 1960/2000   F1 0.4789614305049564   accuracy 0.5529715762273901   precision 0.5405238544427308   recall 0.5208689292446539
deviation 3/5   iterations 1970/2000   F1 0.46253515867527195   accuracy 0.5335917312661499   precision 0.5405476732832698   recall 0.5088804189715109
deviation 3/5   iterations 1980/2000   F1 0.45240004670951   accuracy 0.520671834625323   precision 0.5528438325684883   recall 0.5082743610485241
deviation 3/5   iterations 1990/2000   F1 0.47453441478481534   accuracy 0.5581395348837209   precision 0.5364222369808962   recall 0.516723878370631
deviation 3/5   iterations 2000/2000   F1 0.4644742949357306   accuracy 0.5348837209302325   precision 0.5387746844771661   recall 0.5192880137278576

deviation 4/5   iterations 10/2000   F1 0.3877054073798482   accuracy 0.4664082687338501   precision 0.4312089348604884   recall 0.41576085909458677
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deviation 4/5   iterations 20/2000   F1 0.2986493600078515   accuracy 0.5956072351421189   precision 0.3617508417508417   recall 0.34136063918389725
deviation 4/5   iterations 30/2000   F1 0.41957102991532064   accuracy 0.4935400516795866   precision 0.446989592770608   recall 0.44553783551772436
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deviation 4/5   iterations 40/2000   F1 0.4327520521582027   accuracy 0.5142118863049095   precision 0.4609243050988625   recall 0.4594912687897427
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deviation 4/5   iterations 50/2000   F1 0.43191104824768195   accuracy 0.5968992248062015   precision 0.4525565535180592   recall 0.4373167223043007
deviation 4/5   iterations 60/2000   F1 0.44981599512619025   accuracy 0.6085271317829457   precision 0.4612117267128082   recall 0.4503350186539587
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deviation 4/5   iterations 70/2000   F1 0.4513804436966365   accuracy 0.599483204134367   precision 0.45590279327208333   recall 0.4523331856822925
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deviation 4/5   iterations 80/2000   F1 0.4537608615878362   accuracy 0.5930232558139535   precision 0.47759098799659183   recall 0.46683963399922224
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deviation 4/5   iterations 90/2000   F1 0.44312640221916727   accuracy 0.5968992248062015   precision 0.47386912604303905   recall 0.46120483249313254
deviation 4/5   iterations 100/2000   F1 0.43800291198699526   accuracy 0.5684754521963824   precision 0.4894773838907122   recall 0.474237967731402
deviation 4/5   iterations 110/2000   F1 0.45636735855422145   accuracy 0.582687338501292   precision 0.4763733294296584   recall 0.4726716041633822
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deviation 4/5   iterations 120/2000   F1 0.45564146669726346   accuracy 0.6111111111111112   precision 0.4711832367142989   recall 0.4597063506917996
deviation 4/5   iterations 130/2000   F1 0.43526817972671017   accuracy 0.5852713178294574   precision 0.4851181852051165   recall 0.4656828155585993
deviation 4/5   iterations 140/2000   F1 0.47572762504839833   accuracy 0.58656330749354   precision 0.49778304834044973   recall 0.49390826730232856
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deviation 4/5   iterations 150/2000   F1 0.4585287321587764   accuracy 0.6098191214470284   precision 0.49809769565550593   recall 0.47332262965765864
deviation 4/5   iterations 160/2000   F1 0.4612447252224479   accuracy 0.6007751937984496   precision 0.5030077263995545   recall 0.4852390360493992
deviation 4/5   iterations 170/2000   F1 0.439258537090643   accuracy 0.5839793281653747   precision 0.49586065285341957   recall 0.47024548686680473
deviation 4/5   iterations 180/2000   F1 0.49735781538306734   accuracy 0.6434108527131783   precision 0.5070692708723091   recall 0.499647555899774
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deviation 4/5   iterations 190/2000   F1 0.4780321535900241   accuracy 0.6188630490956072   precision 0.5092622265219539   recall 0.48941384668345506
deviation 4/5   iterations 200/2000   F1 0.46251258756963914   accuracy 0.5917312661498708   precision 0.5156529220506086   recall 0.4891701117893003
deviation 4/5   iterations 210/2000   F1 0.4945152122522707   accuracy 0.6330749354005168   precision 0.5116084264582925   recall 0.5048185396582415
deviation 4/5   iterations 220/2000   F1 0.4876375924253069   accuracy 0.6266149870801033   precision 0.5242697211702052   recall 0.5050835900829985
deviation 4/5   iterations 230/2000   F1 0.49848129917791995   accuracy 0.6227390180878553   precision 0.5239404180998853   recall 0.518703722240928
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deviation 4/5   iterations 240/2000   F1 0.4918363928005438   accuracy 0.6162790697674418   precision 0.5267404982852137   recall 0.5144419688368582
deviation 4/5   iterations 250/2000   F1 0.49736171817207536   accuracy 0.6343669250645995   precision 0.5218282783689473   recall 0.5117676075915755
deviation 4/5   iterations 260/2000   F1 0.4837361349936698   accuracy 0.6059431524547804   precision 0.5243534296598785   recall 0.5116276219434862
deviation 4/5   iterations 270/2000   F1 0.4976275427696644   accuracy 0.6214470284237726   precision 0.5220983047192668   recall 0.516213576369734
deviation 4/5   iterations 280/2000   F1 0.49933735157760983   accuracy 0.6421188630490956   precision 0.5203537895770427   recall 0.5115345714541266
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deviation 4/5   iterations 290/2000   F1 0.4907351155799345   accuracy 0.6059431524547804   precision 0.5279953036260375   recall 0.5176800438837585
deviation 4/5   iterations 300/2000   F1 0.48975660156108974   accuracy 0.6188630490956072   precision 0.5204967745921514   recall 0.5132340751056
deviation 4/5   iterations 310/2000   F1 0.5177943223790563   accuracy 0.6395348837209303   precision 0.5326340326340326   recall 0.5327647579510822
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deviation 4/5   iterations 320/2000   F1 0.4987966854559042   accuracy 0.6266149870801033   precision 0.5211748075481981   recall 0.5154591705520369
deviation 4/5   iterations 330/2000   F1 0.4944377923101327   accuracy 0.6124031007751938   precision 0.5294152192285025   recall 0.521145047348762
deviation 4/5   iterations 340/2000   F1 0.4979855641607492   accuracy 0.6253229974160207   precision 0.5242063059197688   recall 0.5165633150372296
deviation 4/5   iterations 350/2000   F1 0.5202512171930345   accuracy 0.6421188630490956   precision 0.5333479734695271   recall 0.5340828775703969
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deviation 4/5   iterations 360/2000   F1 0.4797250450664607   accuracy 0.6098191214470284   precision 0.5306573394490716   recall 0.508518833787969
deviation 4/5   iterations 370/2000   F1 0.5147835091049956   accuracy 0.6266149870801033   precision 0.5301798759440718   recall 0.532751804667101
deviation 4/5   iterations 380/2000   F1 0.49355501523560313   accuracy 0.6343669250645995   precision 0.5185197060788244   recall 0.5083090807685626
deviation 4/5   iterations 390/2000   F1 0.5020427168741776   accuracy 0.6214470284237726   precision 0.5289670101626949   recall 0.5223338800766933
deviation 4/5   iterations 400/2000   F1 0.5024668519188229   accuracy 0.6214470284237726   precision 0.5339862869134769   recall 0.5241310252548866
deviation 4/5   iterations 410/2000   F1 0.5053811166091867   accuracy 0.6356589147286822   precision 0.5303887669749964   recall 0.521174807108795
deviation 4/5   iterations 420/2000   F1 0.4942508468583901   accuracy 0.6046511627906976   precision 0.5337956333282627   recall 0.5204455700137707
deviation 4/5   iterations 430/2000   F1 0.5111887273408391   accuracy 0.6472868217054264   precision 0.5312043736413484   recall 0.5256825499342949
deviation 4/5   iterations 440/2000   F1 0.4905236793718089   accuracy 0.6124031007751938   precision 0.5292958947392435   recall 0.5132275984636093
deviation 4/5   iterations 450/2000   F1 0.5282766253354488   accuracy 0.6524547803617571   precision 0.5354846663176273   recall 0.5394911195810285
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deviation 4/5   iterations 460/2000   F1 0.5068032799712063   accuracy 0.6408268733850129   precision 0.5260772053750662   recall 0.5212850329968512
deviation 4/5   iterations 470/2000   F1 0.5053927250648562   accuracy 0.6214470284237726   precision 0.5309573278377296   recall 0.5257924068997061
deviation 4/5   iterations 480/2000   F1 0.5355678788924862   accuracy 0.665374677002584   precision 0.5413158382496653   recall 0.5456243765719692
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deviation 4/5   iterations 490/2000   F1 0.5132265613638988   accuracy 0.6356589147286822   precision 0.5301356459340826   recall 0.5280239789881337
deviation 4/5   iterations 500/2000   F1 0.49849904749420554   accuracy 0.6253229974160207   precision 0.5289192668537505   recall 0.5210222370993695
deviation 4/5   iterations 510/2000   F1 0.5188261663336048   accuracy 0.6498708010335917   precision 0.5312890844508836   recall 0.5312559463156884
deviation 4/5   iterations 520/2000   F1 0.5166487859534902   accuracy 0.6472868217054264   precision 0.5374520901947063   recall 0.5362617757033941
deviation 4/5   iterations 530/2000   F1 0.5184136045154809   accuracy 0.6382428940568475   precision 0.5314748230159657   recall 0.5355302840810944
deviation 4/5   iterations 540/2000   F1 0.5103464307320403   accuracy 0.6434108527131783   precision 0.5373815229691061   recall 0.5307242468013792
deviation 4/5   iterations 550/2000   F1 0.5287833548667058   accuracy 0.6511627906976745   precision 0.5384929757343551   recall 0.5414598957719744
deviation 4/5   iterations 560/2000   F1 0.5202693219747939   accuracy 0.6421188630490956   precision 0.5405850414266505   recall 0.5386096813992235
deviation 4/5   iterations 570/2000   F1 0.5147982594205778   accuracy 0.6447028423772609   precision 0.5295108176475534   recall 0.5267546801321793
deviation 4/5   iterations 580/2000   F1 0.5057517829893708   accuracy 0.6201550387596899   precision 0.5308255831178322   recall 0.5241668927342652
deviation 4/5   iterations 590/2000   F1 0.5351789887346446   accuracy 0.661498708010336   precision 0.5385816368157745   recall 0.5442742426653464
deviation 4/5   iterations 600/2000   F1 0.5028928737468089   accuracy 0.6201550387596899   precision 0.5335138491915271   recall 0.5225055110894458
deviation 4/5   iterations 610/2000   F1 0.510733597878843   accuracy 0.6382428940568475   precision 0.5271113198378453   recall 0.5232896766671757
deviation 4/5   iterations 620/2000   F1 0.52225050175044   accuracy 0.6563307493540051   precision 0.5321897935220404   recall 0.529329514246112
deviation 4/5   iterations 630/2000   F1 0.5053169149443354   accuracy 0.6266149870801033   precision 0.5301851851851852   recall 0.5233087376705027
deviation 4/5   iterations 640/2000   F1 0.5039011583843109   accuracy 0.624031007751938   precision 0.5309190748652632   recall 0.5219227362845014
deviation 4/5   iterations 650/2000   F1 0.5326582626959473   accuracy 0.661498708010336   precision 0.5385108700310112   recall 0.5416803475480868
deviation 4/5   iterations 660/2000   F1 0.512178302532512   accuracy 0.6524547803617571   precision 0.5340432724814064   recall 0.5231309989384046
deviation 4/5   iterations 670/2000   F1 0.5062611325002934   accuracy 0.6201550387596899   precision 0.526286670307072   recall 0.5223018657893851
deviation 4/5   iterations 680/2000   F1 0.5101122209875489   accuracy 0.6369509043927648   precision 0.5234859584859585   recall 0.5207316490292948
deviation 4/5   iterations 690/2000   F1 0.5106573270997511   accuracy 0.6511627906976745   precision 0.5250664588558339   recall 0.5179111944165772
deviation 4/5   iterations 700/2000   F1 0.5153522897625611   accuracy 0.6291989664082688   precision 0.5267097883432817   recall 0.5296110022242756
deviation 4/5   iterations 710/2000   F1 0.5114761311522403   accuracy 0.6459948320413437   precision 0.533599262489806   recall 0.5249216674746072
deviation 4/5   iterations 720/2000   F1 0.5108712362286173   accuracy 0.6472868217054264   precision 0.5290958595114214   recall 0.5211557461054681
deviation 4/5   iterations 730/2000   F1 0.5113680748278343   accuracy 0.6395348837209303   precision 0.5293422595212877   recall 0.5239826773601765
deviation 4/5   iterations 740/2000   F1 0.5280878076002619   accuracy 0.6589147286821705   precision 0.5333124947903642   recall 0.5359033058666325
deviation 4/5   iterations 750/2000   F1 0.5176931401754082   accuracy 0.6447028423772609   precision 0.5408909032765568   recall 0.535672524256459
deviation 4/5   iterations 760/2000   F1 0.5330020769981461   accuracy 0.6602067183462532   precision 0.5392070509491361   recall 0.5437170055057196
deviation 4/5   iterations 770/2000   F1 0.5040338251931442   accuracy 0.6214470284237726   precision 0.5340886182731811   recall 0.5276574338445864
deviation 4/5   iterations 780/2000   F1 0.5191698864301604   accuracy 0.6498708010335917   precision 0.5317104573476388   recall 0.5294588011374951
deviation 4/5   iterations 790/2000   F1 0.5075213217085136   accuracy 0.6304909560723514   precision 0.5359712369592996   recall 0.5307791752840848
deviation 4/5   iterations 800/2000   F1 0.5162765251298619   accuracy 0.6330749354005168   precision 0.5344701233012784   recall 0.5327582813090918
deviation 4/5   iterations 810/2000   F1 0.5134311438747424   accuracy 0.6317829457364341   precision 0.5302204251989044   recall 0.5285388720263913
deviation 4/5   iterations 820/2000   F1 0.5140175609810335   accuracy 0.648578811369509   precision 0.5291213921901528   recall 0.522645496737535
deviation 4/5   iterations 830/2000   F1 0.5189186785825441   accuracy 0.6395348837209303   precision 0.5303446358042688   recall 0.5316964809452683
deviation 4/5   iterations 840/2000   F1 0.5260049019607843   accuracy 0.6550387596899225   precision 0.5520832931063735   recall 0.5402840163280244
deviation 4/5   iterations 850/2000   F1 0.5198284083642447   accuracy 0.6395348837209303   precision 0.5341113841113841   recall 0.5362232847740951
deviation 4/5   iterations 860/2000   F1 0.5322740618684646   accuracy 0.6563307493540051   precision 0.5539808538042273   recall 0.5479619524337376
deviation 4/5   iterations 870/2000   F1 0.5210146343436225   accuracy 0.6395348837209303   precision 0.5438599195970139   recall 0.5389529434247287
deviation 4/5   iterations 880/2000   F1 0.5155948561524398   accuracy 0.6369509043927648   precision 0.5275843457527961   recall 0.5285812161477605
deviation 4/5   iterations 890/2000   F1 0.5152268283195504   accuracy 0.6447028423772609   precision 0.5237654982032792   recall 0.5239571397148589
deviation 4/5   iterations 900/2000   F1 0.5048091149639418   accuracy 0.6214470284237726   precision 0.5386088658290937   recall 0.5321163559067262
deviation 4/5   iterations 910/2000   F1 0.5383070317462212   accuracy 0.6718346253229974   precision 0.5388328169290174   recall 0.5426975492632655
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deviation 4/5   iterations 920/2000   F1 0.5148284805219112   accuracy 0.6266149870801033   precision 0.540994560994561   recall 0.5382111219683678
deviation 4/5   iterations 930/2000   F1 0.5238430145973917   accuracy 0.6576227390180879   precision 0.5309337086745526   recall 0.5299546331724256
deviation 4/5   iterations 940/2000   F1 0.520918709830381   accuracy 0.6369509043927648   precision 0.5400482313742533   recall 0.5419579823341801
deviation 4/5   iterations 950/2000   F1 0.514611953219688   accuracy 0.6356589147286822   precision 0.5361431414062993   recall 0.5316182693445204
deviation 4/5   iterations 960/2000   F1 0.527483354851776   accuracy 0.648578811369509   precision 0.5339165690939092   recall 0.540006012619286
deviation 4/5   iterations 970/2000   F1 0.5098103249216559   accuracy 0.6330749354005168   precision 0.538213588766771   recall 0.5285708863136995
deviation 4/5   iterations 980/2000   F1 0.5328918179664449   accuracy 0.6576227390180879   precision 0.5397799871239045   recall 0.5449248992369778
deviation 4/5   iterations 990/2000   F1 0.5142849761430176   accuracy 0.624031007751938   precision 0.5442290391333838   recall 0.5394868974663131
deviation 4/5   iterations 1000/2000   F1 0.5315057959077308   accuracy 0.6576227390180879   precision 0.5419540229885057   recall 0.5441281492979115
deviation 4/5   iterations 1010/2000   F1 0.5202263219624464   accuracy 0.6369509043927648   precision 0.5397824552663263   recall 0.5392962054502336
deviation 4/5   iterations 1020/2000   F1 0.5280214441108111   accuracy 0.6459948320413437   precision 0.5424472319602688   recall 0.5449439602403047
deviation 4/5   iterations 1030/2000   F1 0.5247091755867205   accuracy 0.6511627906976745   precision 0.5380963069851958   recall 0.5362721055374551
deviation 4/5   iterations 1040/2000   F1 0.5258735840398039   accuracy 0.6421188630490956   precision 0.5432073085995629   recall 0.5446621033394959
deviation 4/5   iterations 1050/2000   F1 0.5280913457745816   accuracy 0.6472868217054264   precision 0.5388321033541622   recall 0.5438398157551121
deviation 4/5   iterations 1060/2000   F1 0.528441092957222   accuracy 0.6447028423772609   precision 0.5472347946366777   recall 0.5469127364312506
deviation 4/5   iterations 1070/2000   F1 0.5281855896023199   accuracy 0.648578811369509   precision 0.5477649283502718   recall 0.5437360665090466
deviation 4/5   iterations 1080/2000   F1 0.5195140020216628   accuracy 0.6447028423772609   precision 0.5413027970499235   recall 0.5320103521333853
deviation 4/5   iterations 1090/2000   F1 0.52562972808157   accuracy 0.6434108527131783   precision 0.5384967880048936   recall 0.5408283002036699
deviation 4/5   iterations 1100/2000   F1 0.5194384692212333   accuracy 0.648578811369509   precision 0.5272317419023728   recall 0.5295625503835607
deviation 4/5   iterations 1110/2000   F1 0.5136620460149871   accuracy 0.6369509043927648   precision 0.538994338994339   recall 0.5305820066260146
deviation 4/5   iterations 1120/2000   F1 0.5227001405642183   accuracy 0.6459948320413437   precision 0.5294405003232326   recall 0.5351614844102718
deviation 4/5   iterations 1130/2000   F1 0.5221873583089015   accuracy 0.6343669250645995   precision 0.5412540882110064   recall 0.5422333625929983
deviation 4/5   iterations 1140/2000   F1 0.5256978748161322   accuracy 0.6589147286821705   precision 0.5451733363585657   recall 0.53524231946094
deviation 4/5   iterations 1150/2000   F1 0.5300843607883404   accuracy 0.6382428940568475   precision 0.5417114564586475   recall 0.5548237086744126
deviation 4/5   iterations 1160/2000   F1 0.5186202686202687   accuracy 0.6408268733850129   precision 0.5403381234150465   recall 0.5334577586440831
deviation 4/5   iterations 1170/2000   F1 0.5211810038483925   accuracy 0.6382428940568475   precision 0.5406863099010352   recall 0.538192060965041
deviation 4/5   iterations 1180/2000   F1 0.517328861369109   accuracy 0.627906976744186   precision 0.5420472666022839   recall 0.5424305312510683
deviation 4/5   iterations 1190/2000   F1 0.5230370087395658   accuracy 0.6434108527131783   precision 0.5293663739911204   recall 0.5345722329633368
deviation 4/5   iterations 1200/2000   F1 0.5088173602003326   accuracy 0.6227390180878553   precision 0.5405198897535463   recall 0.5318089613605999
deviation 4/5   iterations 1210/2000   F1 0.5229295767774372   accuracy 0.6408268733850129   precision 0.535361247430124   recall 0.5395101805843554
deviation 4/5   iterations 1220/2000   F1 0.525542689017342   accuracy 0.6382428940568475   precision 0.5413435326471491   recall 0.5469741415559469
deviation 4/5   iterations 1230/2000   F1 0.5223178604041055   accuracy 0.648578811369509   precision 0.5351637789931317   recall 0.5340214724457005
deviation 4/5   iterations 1240/2000   F1 0.5308603474670114   accuracy 0.6343669250645995   precision 0.5460339443835318   recall 0.5589328920690567
deviation 4/5   iterations 1250/2000   F1 0.5082348159747541   accuracy 0.6266149870801033   precision 0.5356447562329916   recall 0.5276997779659557
deviation 4/5   iterations 1260/2000   F1 0.5369647127323476   accuracy 0.6447028423772609   precision 0.5429611065387504   recall 0.5590175803117954
deviation 4/5   iterations 1270/2000   F1 0.5254886870976626   accuracy 0.6382428940568475   precision 0.5455152174234473   recall 0.5461095098501936
deviation 4/5   iterations 1280/2000   F1 0.5192182203210607   accuracy 0.6317829457364341   precision 0.5321802623319126   recall 0.5372530708506101
deviation 4/5   iterations 1290/2000   F1 0.5205699798933473   accuracy 0.6408268733850129   precision 0.5383499866158129   recall 0.5360516537613426
deviation 4/5   iterations 1300/2000   F1 0.5251528333369766   accuracy 0.6524547803617571   precision 0.5332298295057903   recall 0.5351000792855756
deviation 4/5   iterations 1310/2000   F1 0.5217909138262044   accuracy 0.6291989664082688   precision 0.5433623603762493   recall 0.5456495452946417
deviation 4/5   iterations 1320/2000   F1 0.5283029465750849   accuracy 0.6498708010335917   precision 0.533722819406038   recall 0.5406990133122868
deviation 4/5   iterations 1330/2000   F1 0.5207974988594793   accuracy 0.6317829457364341   precision 0.5465421033290015   recall 0.5453741650358236
deviation 4/5   iterations 1340/2000   F1 0.522249300063868   accuracy 0.6382428940568475   precision 0.5359055787778441   recall 0.5407859560823005
deviation 4/5   iterations 1350/2000   F1 0.517381863835538   accuracy 0.6382428940568475   precision 0.5482675457373634   recall 0.5348014159087151
deviation 4/5   iterations 1360/2000   F1 0.5241334740577582   accuracy 0.6356589147286822   precision 0.5396552730567081   recall 0.5446556266975053
deviation 4/5   iterations 1370/2000   F1 0.5337392950378973   accuracy 0.6524547803617571   precision 0.5401179870902849   recall 0.5482732001719344
deviation 4/5   iterations 1380/2000   F1 0.5223345729341348   accuracy 0.6291989664082688   precision 0.5425812269846438   recall 0.5465141770003948
deviation 4/5   iterations 1390/2000   F1 0.5234514764231831   accuracy 0.6447028423772609   precision 0.5400583457586038   recall 0.5399278010185381
deviation 4/5   iterations 1400/2000   F1 0.5388401182506075   accuracy 0.6563307493540051   precision 0.546750212972936   recall 0.5548111243130763
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deviation 4/5   iterations 1410/2000   F1 0.5249156728221324   accuracy 0.6317829457364341   precision 0.5427911712166421   recall 0.5505619552703428
deviation 4/5   iterations 1420/2000   F1 0.5050366185939509   accuracy 0.6343669250645995   precision 0.5326318072676584   recall 0.5168875160594077
deviation 4/5   iterations 1430/2000   F1 0.5097214377634479   accuracy 0.6124031007751938   precision 0.5340190409426587   recall 0.5349112728741262
deviation 4/5   iterations 1440/2000   F1 0.5334679038182067   accuracy 0.6537467700258398   precision 0.5407636170906719   recall 0.5463044239809886
deviation 4/5   iterations 1450/2000   F1 0.5097809964495947   accuracy 0.6317829457364341   precision 0.5377481885006535   recall 0.5269453721482588
deviation 4/5   iterations 1460/2000   F1 0.5203697483285754   accuracy 0.6330749354005168   precision 0.5377268855896893   recall 0.5406757301942443
deviation 4/5   iterations 1470/2000   F1 0.5086495097336017   accuracy 0.6201550387596899   precision 0.5310925736519941   recall 0.5294225647354714
deviation 4/5   iterations 1480/2000   F1 0.5299353946729704   accuracy 0.6447028423772609   precision 0.543250676122696   recall 0.548641999842757
deviation 4/5   iterations 1490/2000   F1 0.5095019157088122   accuracy 0.6136950904392765   precision 0.5495025923310585   recall 0.5401989591626407
deviation 4/5   iterations 1500/2000   F1 0.5342801950786674   accuracy 0.6434108527131783   precision 0.5421359565150415   recall 0.5539335393233418
deviation 4/5   iterations 1510/2000   F1 0.5075154730327144   accuracy 0.6175710594315246   precision 0.5447963180155301   recall 0.5343605123564901
deviation 4/5   iterations 1520/2000   F1 0.5253657965580494   accuracy 0.6382428940568475   precision 0.543116202455825   recall 0.5461095098501936
deviation 4/5   iterations 1530/2000   F1 0.52181132169763   accuracy 0.6317829457364341   precision 0.5409661511665155   recall 0.5435091380909434
deviation 4/5   iterations 1540/2000   F1 0.5289748377983673   accuracy 0.6498708010335917   precision 0.5444995910797797   recall 0.5434965537296071
deviation 4/5   iterations 1550/2000   F1 0.5210770739015014   accuracy 0.6382428940568475   precision 0.5286522016791015   recall 0.5344620070752805
deviation 4/5   iterations 1560/2000   F1 0.5158144193700237   accuracy 0.6253229974160207   precision 0.5403219961495163   recall 0.5392473846868736
deviation 4/5   iterations 1570/2000   F1 0.5232199566503417   accuracy 0.6434108527131783   precision 0.5393993199052413   recall 0.5383022868530972
deviation 4/5   iterations 1580/2000   F1 0.5289744044809425   accuracy 0.6382428940568475   precision 0.5426715175999406   recall 0.5504326683789597
deviation 4/5   iterations 1590/2000   F1 0.521074578989575   accuracy 0.6266149870801033   precision 0.5364480411316396   recall 0.5441956621419534
deviation 4/5   iterations 1600/2000   F1 0.5314444431217166   accuracy 0.6408268733850129   precision 0.5454137271284355   recall 0.5526833014707142
deviation 4/5   iterations 1610/2000   F1 0.5148036801850467   accuracy 0.6266149870801033   precision 0.543698839347059   recall 0.539143635440808
deviation 4/5   iterations 1620/2000   F1 0.5302686929731011   accuracy 0.648578811369509   precision 0.5401852633362224   recall 0.5444649346814259
deviation 4/5   iterations 1630/2000   F1 0.5238934617831869   accuracy 0.6330749354005168   precision 0.5395187077879385   recall 0.544134257017257
deviation 4/5   iterations 1640/2000   F1 0.5249046671110436   accuracy 0.6356589147286822   precision 0.5492394425627745   recall 0.5483177988205789
deviation 4/5   iterations 1650/2000   F1 0.5267128534372132   accuracy 0.6330749354005168   precision 0.5472361761326408   recall 0.5512549559633435
deviation 4/5   iterations 1660/2000   F1 0.5371796804928172   accuracy 0.6537467700258398   precision 0.5436497157203417   recall 0.5515600959821946
deviation 4/5   iterations 1670/2000   F1 0.5194068663686068   accuracy 0.6227390180878553   precision 0.5421684263172228   recall 0.5448463187135847
deviation 4/5   iterations 1680/2000   F1 0.5220600542264556   accuracy 0.6304909560723514   precision 0.5450249670679779   recall 0.5428161373979427
deviation 4/5   iterations 1690/2000   F1 0.5299976599811153   accuracy 0.6498708010335917   precision 0.5431577574852001   recall 0.5434286719629201
deviation 4/5   iterations 1700/2000   F1 0.52665520150838   accuracy 0.6356589147286822   precision 0.538994615689204   recall 0.5463170083423248
deviation 4/5   iterations 1710/2000   F1 0.5261697975288565   accuracy 0.6447028423772609   precision 0.542144296132908   recall 0.5425216961357977
deviation 4/5   iterations 1720/2000   F1 0.5167131949653098   accuracy 0.6201550387596899   precision 0.5398622253683604   recall 0.5390013952654436
deviation 4/5   iterations 1730/2000   F1 0.5166525419357361   accuracy 0.6175710594315246   precision 0.535820895522388   recall 0.5374796303460684
deviation 4/5   iterations 1740/2000   F1 0.5174852735078185   accuracy 0.6369509043927648   precision 0.5310123740565442   recall 0.530378361325954
deviation 4/5   iterations 1750/2000   F1 0.5177841689691455   accuracy 0.6253229974160207   precision 0.5408431320748449   recall 0.5373823577419934
deviation 4/5   iterations 1760/2000   F1 0.5139859552992463   accuracy 0.6227390180878553   precision 0.5349748989293172   recall 0.530672802588099
deviation 4/5   iterations 1770/2000   F1 0.5238351344264408   accuracy 0.6291989664082688   precision 0.5412428486635724   recall 0.5446491500555147
deviation 4/5   iterations 1780/2000   F1 0.5251889075004653   accuracy 0.6343669250645995   precision 0.5380072205868343   recall 0.5420297172929375
deviation 4/5   iterations 1790/2000   F1 0.5267675274557218   accuracy 0.6408268733850129   precision 0.5380832243836172   recall 0.5420361939349281
deviation 4/5   iterations 1800/2000   F1 0.5150753824694775   accuracy 0.6227390180878553   precision 0.5347366832146246   recall 0.5359963563559921
deviation 4/5   iterations 1810/2000   F1 0.5239917392705365   accuracy 0.6408268733850129   precision 0.5335197959123934   recall 0.5376451536394752
deviation 4/5   iterations 1820/2000   F1 0.5161055969085847   accuracy 0.6188630490956072   precision 0.5371332214866396   recall 0.5391730262781961
deviation 4/5   iterations 1830/2000   F1 0.5026247877076045   accuracy 0.6085271317829457   precision 0.539200722104176   recall 0.5277123623272919
deviation 4/5   iterations 1840/2000   F1 0.5110181038106419   accuracy 0.6227390180878553   precision 0.5284720728105595   recall 0.5298760526490326
deviation 4/5   iterations 1850/2000   F1 0.5145491906504409   accuracy 0.6201550387596899   precision 0.5291677133235332   recall 0.5354071049090569
deviation 4/5   iterations 1860/2000   F1 0.5172264548094553   accuracy 0.6330749354005168   precision 0.5349041703233888   recall 0.534555426487285
deviation 4/5   iterations 1870/2000   F1 0.5214062565334001   accuracy 0.6291989664082688   precision 0.5286950824410414   recall 0.5382573192818075
deviation 4/5   iterations 1880/2000   F1 0.5179017000656373   accuracy 0.6266149870801033   precision 0.540313977525258   recall 0.5408050170856274
deviation 4/5   iterations 1890/2000   F1 0.5334834000493144   accuracy 0.6459948320413437   precision 0.5357191318447959   recall 0.548995591702323
deviation 4/5   iterations 1900/2000   F1 0.5159244553197725   accuracy 0.6253229974160207   precision 0.5378431057194498   recall 0.5374502395086803
deviation 4/5   iterations 1910/2000   F1 0.5220856044545745   accuracy 0.6291989664082688   precision 0.529244727229881   recall 0.5391219509875609
deviation 4/5   iterations 1920/2000   F1 0.5072144658965947   accuracy 0.6136950904392765   precision 0.5295987863431347   recall 0.5285514563877275
deviation 4/5   iterations 1930/2000   F1 0.5241661420761442   accuracy 0.6434108527131783   precision 0.529178161288253   recall 0.535368982902403
deviation 4/5   iterations 1940/2000   F1 0.5169659707295676   accuracy 0.6253229974160207   precision 0.5298480298480298   recall 0.5327876721464796
deviation 4/5   iterations 1950/2000   F1 0.5165989086197594   accuracy 0.6317829457364341   precision 0.5290010944872249   recall 0.5292677401987707
deviation 4/5   iterations 1960/2000   F1 0.5172458246343759   accuracy 0.6072351421188631   precision 0.545957820064963   recall 0.5541623533460751
deviation 4/5   iterations 1970/2000   F1 0.5252326485883773   accuracy 0.6227390180878553   precision 0.5475391482310433   recall 0.5571548078941904
deviation 4/5   iterations 1980/2000   F1 0.5307530132177019   accuracy 0.6434108527131783   precision 0.5364896244679707   recall 0.5459482086715021
deviation 4/5   iterations 1990/2000   F1 0.5081241701849206   accuracy 0.6098191214470284   precision 0.5361053482994168   recall 0.5362549301387584
deviation 4/5   iterations 2000/2000   F1 0.5092770479505563   accuracy 0.6175710594315246   precision 0.5235192011491269   recall 0.5242386276930225

deviation 5/5   iterations 10/2000   F1 0.24759832512606642   accuracy 0.25452196382428943   precision 0.43892385434909514   recall 0.3881502374345152
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deviation 5/5   iterations 20/2000   F1 0.418128213379554   accuracy 0.48578811369509045   precision 0.45991269476541324   recall 0.452298465962254
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deviation 5/5   iterations 30/2000   F1 0.45514009074290257   accuracy 0.5568475452196382   precision 0.4594884605031739   recall 0.47050914358379164
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deviation 5/5   iterations 40/2000   F1 0.3831603250909244   accuracy 0.4289405684754522   precision 0.4887063282018704   recall 0.4672602877973753
deviation 5/5   iterations 50/2000   F1 0.40998284369098403   accuracy 0.46770025839793283   precision 0.4900202347736471   recall 0.48352350475856926
deviation 5/5   iterations 60/2000   F1 0.4706053989531042   accuracy 0.5529715762273901   precision 0.5041712013698431   recall 0.5147486255376945
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deviation 5/5   iterations 70/2000   F1 0.47804626172895476   accuracy 0.5956072351421189   precision 0.4923180806406881   recall 0.4988950356867073
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deviation 5/5   iterations 80/2000   F1 0.5087634500730969   accuracy 0.6188630490956072   precision 0.5086065861745035   recall 0.5267966553309035
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deviation 5/5   iterations 90/2000   F1 0.4801958643052225   accuracy 0.5801033591731266   precision 0.5183802125436655   recall 0.5241817316228768
deviation 5/5   iterations 100/2000   F1 0.48959708475993713   accuracy 0.5749354005167958   precision 0.5105056234088492   recall 0.5298524006083453
deviation 5/5   iterations 110/2000   F1 0.5171512773423519   accuracy 0.6162790697674418   precision 0.5224046647706634   recall 0.5484341324279808
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deviation 5/5   iterations 120/2000   F1 0.5211111270622878   accuracy 0.627906976744186   precision 0.5181581125495206   recall 0.5402939772394404
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deviation 5/5   iterations 130/2000   F1 0.5271856385524125   accuracy 0.6317829457364341   precision 0.525528997262964   recall 0.5485611647920887
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deviation 5/5   iterations 140/2000   F1 0.5460347578309629   accuracy 0.6576227390180879   precision 0.5399151797413264   recall 0.5584874794622813
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deviation 5/5   iterations 150/2000   F1 0.533425657752908   accuracy 0.6253229974160207   precision 0.5346472241209083   recall 0.5653220993928435
deviation 5/5   iterations 160/2000   F1 0.5426214580780662   accuracy 0.6459948320413437   precision 0.5367282489708359   recall 0.5621687125886818
deviation 5/5   iterations 170/2000   F1 0.5414664682283695   accuracy 0.6408268733850129   precision 0.5359185949550809   recall 0.5646523818178851
deviation 5/5   iterations 180/2000   F1 0.5443544600032582   accuracy 0.6498708010335917   precision 0.5392510369532428   recall 0.5633830829619307
deviation 5/5   iterations 190/2000   F1 0.5463706703648034   accuracy 0.6511627906976745   precision 0.5430700525948299   recall 0.5668057423055649
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deviation 5/5   iterations 200/2000   F1 0.5511701180022266   accuracy 0.6511627906976745   precision 0.5454519973091584   recall 0.5737906777182774
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deviation 5/5   iterations 210/2000   F1 0.5510761205516439   accuracy 0.6524547803617571   precision 0.5482582133814432   recall 0.574551560177965
deviation 5/5   iterations 220/2000   F1 0.550097849514787   accuracy 0.6421188630490956   precision 0.5483107964451248   recall 0.5812481620478781
deviation 5/5   iterations 230/2000   F1 0.5558286326161804   accuracy 0.6537467700258398   precision 0.5510560805689809   recall 0.5804323511054849
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deviation 5/5   iterations 240/2000   F1 0.5576935051273275   accuracy 0.6550387596899225   precision 0.5547532887989212   recall 0.5837192469157452
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deviation 5/5   iterations 250/2000   F1 0.5555391996122411   accuracy 0.6576227390180879   precision 0.5530834039041973   recall 0.5772556811832809
deviation 5/5   iterations 260/2000   F1 0.561469803382852   accuracy 0.6563307493540051   precision 0.5567537716610059   recall 0.589667919609952
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deviation 5/5   iterations 270/2000   F1 0.5658973815051914   accuracy 0.665374677002584   precision 0.559810801513588   recall 0.5892632524597508
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deviation 5/5   iterations 280/2000   F1 0.5551003909586534   accuracy 0.6524547803617571   precision 0.5530388773867035   recall 0.5824011272964307
deviation 5/5   iterations 290/2000   F1 0.5605603535068057   accuracy 0.6576227390180879   precision 0.5585026199162185   recall 0.5895641703638864
deviation 5/5   iterations 300/2000   F1 0.5564682801959736   accuracy 0.6524547803617571   precision 0.5569677274652034   recall 0.5859275358861304
deviation 5/5   iterations 310/2000   F1 0.5557815616426954   accuracy 0.6589147286821705   precision 0.5555438348859035   recall 0.5788133135820348
deviation 5/5   iterations 320/2000   F1 0.5539477419598883   accuracy 0.6666666666666666   precision 0.550954681389464   recall 0.56886568338124
deviation 5/5   iterations 330/2000   F1 0.5619223013886799   accuracy 0.6498708010335917   precision 0.5640964972823742   recall 0.6004443140371213
deviation 5/5   iterations 340/2000   F1 0.5521306581292083   accuracy 0.6640826873385013   precision 0.5507984116782231   recall 0.5684121954676787
deviation 5/5   iterations 350/2000   F1 0.566142772632849   accuracy 0.6589147286821705   precision 0.563404337597886   recall 0.5981067381753529
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deviation 5/5   iterations 360/2000   F1 0.5530332661709477   accuracy 0.648578811369509   precision 0.5591373374578169   recall 0.5848489290462554
deviation 5/5   iterations 370/2000   F1 0.5692831870821454   accuracy 0.6705426356589147   precision 0.5613833194096353   recall 0.591695846398319
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deviation 5/5   iterations 380/2000   F1 0.5488474048688182   accuracy 0.6563307493540051   precision 0.552662841034934   recall 0.5705102585500078
deviation 5/5   iterations 390/2000   F1 0.5780519981939882   accuracy 0.665374677002584   precision 0.5711874864331757   recall 0.6146090989933413
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deviation 5/5   iterations 400/2000   F1 0.5501517155513445   accuracy 0.6498708010335917   precision 0.5556741718426501   recall 0.5784891125598567
deviation 5/5   iterations 410/2000   F1 0.5524854765049106   accuracy 0.6602067183462532   precision 0.5520409925794324   recall 0.573386010568076
deviation 5/5   iterations 420/2000   F1 0.5596181480195224   accuracy 0.6679586563307494   precision 0.5542578923873888   recall 0.5790696328375259
deviation 5/5   iterations 430/2000   F1 0.5515578744611698   accuracy 0.6447028423772609   precision 0.5721939844402458   recall 0.5926881663306601
deviation 5/5   iterations 440/2000   F1 0.5586787591360762   accuracy 0.6692506459948321   precision 0.5525597493600847   recall 0.5762362249408269
deviation 5/5   iterations 450/2000   F1 0.5538867840093803   accuracy 0.6434108527131783   precision 0.5656143162393162   recall 0.5935886655157919
deviation 5/5   iterations 460/2000   F1 0.5705959045939105   accuracy 0.6627906976744186   precision 0.5639138228129706   recall 0.6019150036658614
deviation 5/5   iterations 470/2000   F1 0.5613803146269465   accuracy 0.6576227390180879   precision 0.5622650467586371   recall 0.593158460720273
deviation 5/5   iterations 480/2000   F1 0.5642480932960957   accuracy 0.6524547803617571   precision 0.5631058777372141   recall 0.602627065362189
deviation 5/5   iterations 490/2000   F1 0.5561998235799863   accuracy 0.6627906976744186   precision 0.5523398932309036   recall 0.5772980253046501
deviation 5/5   iterations 500/2000   F1 0.561783736499396   accuracy 0.6589147286821705   precision 0.5603768024067308   recall 0.5929189479408338
deviation 5/5   iterations 510/2000   F1 0.5653899566943045   accuracy 0.6666666666666666   precision 0.561420556187998   recall 0.5917533983309448
deviation 5/5   iterations 520/2000   F1 0.5692188980596152   accuracy 0.6627906976744186   precision 0.5662145114881433   recall 0.6037800306107416
deviation 5/5   iterations 530/2000   F1 0.5673866581541526   accuracy 0.6627906976744186   precision 0.562759388951132   recall 0.5983885950761616
deviation 5/5   iterations 540/2000   F1 0.5713447591680351   accuracy 0.6692506459948321   precision 0.5691253114494911   recall 0.6019893620745389
deviation 5/5   iterations 550/2000   F1 0.5674470101029456   accuracy 0.6602067183462532   precision 0.5662298412334724   recall 0.6023940292247402
deviation 5/5   iterations 560/2000   F1 0.5657106717814169   accuracy 0.6692506459948321   precision 0.5612354153374548   recall 0.5904776228329996
deviation 5/5   iterations 570/2000   F1 0.5726225726225727   accuracy 0.6679586563307494   precision 0.5691634412870643   recall 0.604754888204551
deviation 5/5   iterations 580/2000   F1 0.5743235278039435   accuracy 0.6744186046511628   precision 0.5707629814515734   recall 0.6029642196683483
deviation 5/5   iterations 590/2000   F1 0.5667100508543246   accuracy 0.6744186046511628   precision 0.5612460437104987   recall 0.5879260718371094
deviation 5/5   iterations 600/2000   F1 0.5727169203082169   accuracy 0.6731266149870802   precision 0.5669466974210536   recall 0.5995415603247143
deviation 5/5   iterations 610/2000   F1 0.5737932080701348   accuracy 0.6731266149870802   precision 0.5681451179800742   recall 0.6013387055029076
deviation 5/5   iterations 620/2000   F1 0.5692507232356089   accuracy 0.6602067183462532   precision 0.5646613465945143   recall 0.6040554108695596
deviation 5/5   iterations 630/2000   F1 0.5697662037663661   accuracy 0.6757105943152455   precision 0.5630743525480367   recall 0.5912129676473696
deviation 5/5   iterations 640/2000   F1 0.5705621817737551   accuracy 0.6640826873385013   precision 0.5682946984418064   recall 0.6053376630094955
deviation 5/5   iterations 650/2000   F1 0.570747228087907   accuracy 0.6640826873385013   precision 0.5664603008625316   recall 0.6044051495370554
deviation 5/5   iterations 660/2000   F1 0.5826744395156456   accuracy 0.6795865633074936   precision 0.5738218000580456   recall 0.6079907087241762
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deviation 5/5   iterations 670/2000   F1 0.5574424647364514   accuracy 0.6576227390180879   precision 0.563068503883933   recall 0.5897678156639472
deviation 5/5   iterations 680/2000   F1 0.5794419127080528   accuracy 0.6757105943152455   precision 0.5711916264090178   recall 0.6077767335900544
deviation 5/5   iterations 690/2000   F1 0.581103398532021   accuracy 0.6757105943152455   precision 0.5724152072863063   recall 0.6105063922406878
deviation 5/5   iterations 700/2000   F1 0.5619442922366448   accuracy 0.6576227390180879   precision 0.5659889189387308   recall 0.5976173827824129
deviation 5/5   iterations 710/2000   F1 0.5927194651832334   accuracy 0.686046511627907   precision 0.5824843685407193   recall 0.6222385832583396
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deviation 5/5   iterations 720/2000   F1 0.5820586730951777   accuracy 0.6757105943152455   precision 0.5736260021249879   recall 0.6132360508913212
deviation 5/5   iterations 730/2000   F1 0.5892169559039105   accuracy 0.6873385012919897   precision 0.5797645469831031   recall 0.6150141350661876
deviation 5/5   iterations 740/2000   F1 0.5643302682735982   accuracy 0.6563307493540051   precision 0.5674666888740045   recall 0.6012475406181782
deviation 5/5   iterations 750/2000   F1 0.5735363889760512   accuracy 0.6757105943152455   precision 0.567279099594165   recall 0.5974690348877028
deviation 5/5   iterations 760/2000   F1 0.5727823780046867   accuracy 0.6679586563307494   precision 0.5718706580775547   recall 0.6065520333827443
deviation 5/5   iterations 770/2000   F1 0.5833379324391358   accuracy 0.6834625322997416   precision 0.5742503173936148   recall 0.6076115792192924
deviation 5/5   iterations 780/2000   F1 0.5894947321394679   accuracy 0.6886304909560723   precision 0.579739010989011   recall 0.6139099905809949
deviation 5/5   iterations 790/2000   F1 0.5806625957219876   accuracy 0.6782945736434108   precision 0.5746650572757768   recall 0.6111635254543097
deviation 5/5   iterations 800/2000   F1 0.5776121589104881   accuracy 0.6782945736434108   precision 0.5705537107703332   recall 0.6040428265082234
deviation 5/5   iterations 810/2000   F1 0.5783432742682166   accuracy 0.6821705426356589   precision 0.5710765841576496   recall 0.6025275382308388
deviation 5/5   iterations 820/2000   F1 0.5740881368203636   accuracy 0.6795865633074936   precision 0.5666593679402944   recall 0.5958858648436314
deviation 5/5   iterations 830/2000   F1 0.5642238923273406   accuracy 0.665374677002584   precision 0.5631087794071185   recall 0.5929254245828243
deviation 5/5   iterations 840/2000   F1 0.5565226522499818   accuracy 0.6537467700258398   precision 0.5545702438189485   recall 0.5864168912790704
deviation 5/5   iterations 850/2000   F1 0.5827190085992534   accuracy 0.6834625322997416   precision 0.5738511953316624   recall 0.6066111839801654
deviation 5/5   iterations 860/2000   F1 0.5638845148870463   accuracy 0.661498708010336   precision 0.5622697563874034   recall 0.5941691857934611
deviation 5/5   iterations 870/2000   F1 0.5579732731037079   accuracy 0.6511627906976745   precision 0.561835258672144   recall 0.5940844975507226
deviation 5/5   iterations 880/2000   F1 0.5821156073301995   accuracy 0.6886304909560723   precision 0.5735605230594533   recall 0.6014657378670155
deviation 5/5   iterations 890/2000   F1 0.5714692571381228   accuracy 0.6705426356589147   precision 0.5668666929603337   recall 0.5999527041169062
deviation 5/5   iterations 900/2000   F1 0.5763142887967572   accuracy 0.6770025839793282   precision 0.5702577615621094   recall 0.6034177075819097
deviation 5/5   iterations 910/2000   F1 0.5734604659714208   accuracy 0.6705426356589147   precision 0.567861174654633   recall 0.603411230939919
deviation 5/5   iterations 920/2000   F1 0.5633011179466693   accuracy 0.6550387596899225   precision 0.5602157456996166   recall 0.5976212359744834
deviation 5/5   iterations 930/2000   F1 0.5796583183874876   accuracy 0.6808785529715762   precision 0.5720920112328227   recall 0.6045641961884716
deviation 5/5   iterations 940/2000   F1 0.5763876204972095   accuracy 0.6795865633074936   precision 0.5697026314579468   recall 0.6003447869057711
deviation 5/5   iterations 950/2000   F1 0.5577828868172783   accuracy 0.6498708010335917   precision 0.5584931768044173   recall 0.593255733324348
deviation 5/5   iterations 960/2000   F1 0.5720954513163843   accuracy 0.6782945736434108   precision 0.5656569075524378   recall 0.5934636007391242
deviation 5/5   iterations 970/2000   F1 0.571335697046751   accuracy 0.6679586563307494   precision 0.5649844303854265   recall 0.6010248343147905
deviation 5/5   iterations 980/2000   F1 0.5672561726570233   accuracy 0.6679586563307494   precision 0.5665547757783297   recall 0.5960406893803322
deviation 5/5   iterations 990/2000   F1 0.5733604341857995   accuracy 0.6666666666666666   precision 0.5676443063026307   recall 0.606587900862123
deviation 5/5   iterations 1000/2000   F1 0.5806083151174108   accuracy 0.6757105943152455   precision 0.571878739969026   recall 0.6097096423016214
deviation 5/5   iterations 1010/2000   F1 0.5601152666493728   accuracy 0.6563307493540051   precision 0.5593215468352949   recall 0.5915329465548324
deviation 5/5   iterations 1020/2000   F1 0.5734784550032491   accuracy 0.6666666666666666   precision 0.5670183105245742   recall 0.6057232691563699
deviation 5/5   iterations 1030/2000   F1 0.5659926373218921   accuracy 0.6576227390180879   precision 0.5628125231408405   recall 0.600872264305365
deviation 5/5   iterations 1040/2000   F1 0.5762391859558651   accuracy 0.6744186046511628   precision 0.5684154738754822   recall 0.6036252060740409
deviation 5/5   iterations 1050/2000   F1 0.5609620808707942   accuracy 0.6602067183462532   precision 0.5610209878060437   recall 0.5910180535165748
deviation 5/5   iterations 1060/2000   F1 0.5903878778744255   accuracy 0.6847545219638242   precision 0.5806238369270263   recall 0.6197484373871456
deviation 5/5   iterations 1070/2000   F1 0.5631524284667225   accuracy 0.6666666666666666   precision 0.563104083544212   recall 0.5900920166861253
deviation 5/5   iterations 1080/2000   F1 0.569312315304427   accuracy 0.6627906976744186   precision 0.5633237836732184   recall 0.6009146084267344
deviation 5/5   iterations 1090/2000   F1 0.5801529036920248   accuracy 0.6744186046511628   precision 0.5721999047566898   recall 0.6107459050201273
deviation 5/5   iterations 1100/2000   F1 0.5618053714499607   accuracy 0.6589147286821705   precision 0.5624885969713556   recall 0.5929189479408338
deviation 5/5   iterations 1110/2000   F1 0.568664574255311   accuracy 0.6718346253229974   precision 0.5618947054513965   recall 0.5915242153855664
deviation 5/5   iterations 1120/2000   F1 0.5714701290189136   accuracy 0.6679586563307494   precision 0.5683661338656311   recall 0.6020931113206046
deviation 5/5   iterations 1130/2000   F1 0.5701761511739682   accuracy 0.6692506459948321   precision 0.5634170731166579   recall 0.5972589129456515
deviation 5/5   iterations 1140/2000   F1 0.5669608803902043   accuracy 0.6692506459948321   precision 0.5625800003667639   recall 0.592206886244506
deviation 5/5   iterations 1150/2000   F1 0.5801790573980351   accuracy 0.6834625322997416   precision 0.5719328470035084   recall 0.6023559072180863
deviation 5/5   iterations 1160/2000   F1 0.5598686330686545   accuracy 0.6511627906976745   precision 0.5589250273152969   recall 0.594745483956415
deviation 5/5   iterations 1170/2000   F1 0.5649438937802226   accuracy 0.6679586563307494   precision 0.5614361665883059   recall 0.5898525039066859
deviation 5/5   iterations 1180/2000   F1 0.5796864976431539   accuracy 0.6782945736434108   precision 0.5711458566004021   recall 0.6057042081530429
deviation 5/5   iterations 1190/2000   F1 0.5785218091678476   accuracy 0.6782945736434108   precision 0.5713436132704643   recall 0.6049074582139766
deviation 5/5   iterations 1200/2000   F1 0.5629069213195966   accuracy 0.6666666666666666   precision 0.5585976665755172   recall 0.5864977263297386
deviation 5/5   iterations 1210/2000   F1 0.5711137070152087   accuracy 0.6718346253229974   precision 0.5651956517665224   recall 0.5978481643925865
deviation 5/5   iterations 1220/2000   F1 0.5643573330036212   accuracy 0.661498708010336   precision 0.5617332450526006   recall 0.5950338174992144
deviation 5/5   iterations 1230/2000   F1 0.5559683264601297   accuracy 0.6537467700258398   precision 0.5576763081713576   recall 0.5884855635240114
deviation 5/5   iterations 1240/2000   F1 0.5690824961014392   accuracy 0.6679586563307494   precision 0.5641694821817245   recall 0.5976341892584647
deviation 5/5   iterations 1250/2000   F1 0.5708999774623723   accuracy 0.6666666666666666   precision 0.5671627162716272   recall 0.602264742333357
deviation 5/5   iterations 1260/2000   F1 0.5577432918870009   accuracy 0.648578811369509   precision 0.5568717292281261   recall 0.5934273643371005
deviation 5/5   iterations 1270/2000   F1 0.5636951978629074   accuracy 0.6602067183462532   precision 0.5621129641384705   recall 0.5953412120453407
deviation 5/5   iterations 1280/2000   F1 0.5760109185107786   accuracy 0.6770025839793282   precision 0.5694139738257386   recall 0.6014847988703425
deviation 5/5   iterations 1290/2000   F1 0.5508635730361161   accuracy 0.6434108527131783   precision 0.5541559000861326   recall 0.5854675713305785
deviation 5/5   iterations 1300/2000   F1 0.5741097568361396   accuracy 0.6744186046511628   precision 0.5672796345001104   recall 0.6000987974843411
deviation 5/5   iterations 1310/2000   F1 0.5521044893121841   accuracy 0.648578811369509   precision 0.5543965975544923   recall 0.5829839021013752
deviation 5/5   iterations 1320/2000   F1 0.5505940426582537   accuracy 0.6447028423772609   precision 0.5537232488423007   recall 0.5844313086120728
deviation 5/5   iterations 1330/2000   F1 0.5745290909583387   accuracy 0.6821705426356589   precision 0.5665618010666797   recall 0.5928808259341798
deviation 5/5   iterations 1340/2000   F1 0.535070295029342   accuracy 0.6291989664082688   precision 0.5477182486690526   recall 0.570130760122479
deviation 5/5   iterations 1350/2000   F1 0.5626326954459518   accuracy 0.6692506459948321   precision 0.5565966684387736   recall 0.5848825419983589
deviation 5/5   iterations 1360/2000   F1 0.552976732916482   accuracy 0.6537467700258398   precision 0.5525691039078371   recall 0.581364864577925
deviation 5/5   iterations 1370/2000   F1 0.557471376484992   accuracy 0.6550387596899225   precision 0.5561878781693023   recall 0.5872456555054449
deviation 5/5   iterations 1380/2000   F1 0.5567547855627968   accuracy 0.6563307493540051   precision 0.5551302589408608   recall 0.585344761081186
deviation 5/5   iterations 1390/2000   F1 0.5536397832962029   accuracy 0.6511627906976745   precision 0.5532702685441239   recall 0.5843699034873766
deviation 5/5   iterations 1400/2000   F1 0.5640231652293755   accuracy 0.665374677002584   precision 0.5598199023199023   recall 0.5909246341045702
deviation 5/5   iterations 1410/2000   F1 0.5512013847837784   accuracy 0.648578811369509   precision 0.5523890019378125   recall 0.5819835068622482
deviation 5/5   iterations 1420/2000   F1 0.5554574269929557   accuracy 0.6576227390180879   precision 0.5534586785053599   recall 0.5816467214787338
deviation 5/5   iterations 1430/2000   F1 0.5585604595869105   accuracy 0.661498708010336   precision 0.5556021923272184   recall 0.5844545917301153
deviation 5/5   iterations 1440/2000   F1 0.5699076498862095   accuracy 0.6744186046511628   precision 0.5629348010580739   recall 0.5930459803049416
deviation 5/5   iterations 1450/2000   F1 0.5419921350321752   accuracy 0.6395348837209303   precision 0.5494668509649783   recall 0.5748101339607313
deviation 5/5   iterations 1460/2000   F1 0.5665731392515277   accuracy 0.6718346253229974   precision 0.5602834918124743   recall 0.5898628337407469
deviation 5/5   iterations 1470/2000   F1 0.557983750554424   accuracy 0.6640826873385013   precision 0.5579484323052118   recall 0.5835182250656047
deviation 5/5   iterations 1480/2000   F1 0.5538366422465902   accuracy 0.6589147286821705   precision 0.5510028740126245   recall 0.5786775500486608
deviation 5/5   iterations 1490/2000   F1 0.5545598219644708   accuracy 0.6472868217054264   precision 0.5550135602114074   recall 0.5892079550544
deviation 5/5   iterations 1500/2000   F1 0.5424271668988644   accuracy 0.6447028423772609   precision 0.5477506766033119   recall 0.5713939512590879
deviation 5/5   iterations 1510/2000   F1 0.5661860583947064   accuracy 0.6692506459948321   precision 0.5604349234276069   recall 0.5895451093605595
deviation 5/5   iterations 1520/2000   F1 0.5678579985271178   accuracy 0.6692506459948321   precision 0.5630525396568178   recall 0.5946650178283918
deviation 5/5   iterations 1530/2000   F1 0.5428358402325876   accuracy 0.6498708010335917   precision 0.5512685211587407   recall 0.5689781637965715
deviation 5/5   iterations 1540/2000   F1 0.5603560011043758   accuracy 0.661498708010336   precision 0.5561432275876975   recall 0.5853871052025553
deviation 5/5   iterations 1550/2000   F1 0.5520378247771035   accuracy 0.6511627906976745   precision 0.5529866236469477   recall 0.5798430996585497
deviation 5/5   iterations 1560/2000   F1 0.5522516979044672   accuracy 0.648578811369509   precision 0.5544648318498676   recall 0.5857814425186957
deviation 5/5   iterations 1570/2000   F1 0.5537441710177623   accuracy 0.648578811369509   precision 0.5568542297010617   recall 0.5865103106910748
deviation 5/5   iterations 1580/2000   F1 0.5646782633238615   accuracy 0.6640826873385013   precision 0.5605682929183421   recall 0.5920287785897628
deviation 5/5   iterations 1590/2000   F1 0.5687914565414762   accuracy 0.665374677002584   precision 0.5636716991661817   recall 0.5988420829897229
deviation 5/5   iterations 1600/2000   F1 0.5419339761576257   accuracy 0.6330749354005168   precision 0.5519435844513244   recall 0.5800593293199469
deviation 5/5   iterations 1610/2000   F1 0.5682993591596794   accuracy 0.6718346253229974   precision 0.5623382397216613   recall 0.5918636242190011
deviation 5/5   iterations 1620/2000   F1 0.5626271039923796   accuracy 0.665374677002584   precision 0.5583045555213806   recall 0.5874661072815573
deviation 5/5   iterations 1630/2000   F1 0.5442041322443026   accuracy 0.6369509043927648   precision 0.5531945155601069   recall 0.5813415814598827
deviation 5/5   iterations 1640/2000   F1 0.5658887278636642   accuracy 0.6744186046511628   precision 0.5596697605406024   recall 0.5843996632474097
deviation 5/5   iterations 1650/2000   F1 0.5264263438132638   accuracy 0.6149870801033591   precision 0.5440737166511961   recall 0.5696963332122448
deviation 5/5   iterations 1660/2000   F1 0.5760300277881465   accuracy 0.6847545219638242   precision 0.5684525683904179   recall 0.5940631820201204
deviation 5/5   iterations 1670/2000   F1 0.5365759609990522   accuracy 0.6304909560723514   precision 0.5458160271095772   recall 0.5707558790487929
deviation 5/5   iterations 1680/2000   F1 0.560643023951802   accuracy 0.6640826873385013   precision 0.5603218528725191   recall 0.5859763566494904
deviation 5/5   iterations 1690/2000   F1 0.5616414197583413   accuracy 0.6640826873385013   precision 0.5609081965309238   recall 0.5877056200609969
deviation 5/5   iterations 1700/2000   F1 0.5644090614205024   accuracy 0.6666666666666666   precision 0.5596233304728839   recall 0.5906851213251308
deviation 5/5   iterations 1710/2000   F1 0.5551178441425523   accuracy 0.6511627906976745   precision 0.5550131020315744   recall 0.586031285132196
deviation 5/5   iterations 1720/2000   F1 0.5660110022373269   accuracy 0.6821705426356589   precision 0.5605199083010121   recall 0.5797755868145079
deviation 5/5   iterations 1730/2000   F1 0.5491202144242026   accuracy 0.6408268733850129   precision 0.5514571847635831   recall 0.5840815699445772
deviation 5/5   iterations 1740/2000   F1 0.5442284149793558   accuracy 0.6434108527131783   precision 0.5478301741408537   recall 0.5750241090948532
deviation 5/5   iterations 1750/2000   F1 0.5661138499342663   accuracy 0.6770025839793282   precision 0.5599351529229578   recall 0.5849210329276578
deviation 5/5   iterations 1760/2000   F1 0.5482573772945599   accuracy 0.6498708010335917   precision 0.5523887686249336   recall 0.5776244808541035
deviation 5/5   iterations 1770/2000   F1 0.5656345506345506   accuracy 0.6718346253229974   precision 0.5596625147373925   recall 0.5874047021568612
deviation 5/5   iterations 1780/2000   F1 0.5378488317696898   accuracy 0.6317829457364341   precision 0.54482068257975   recall 0.5723135114475467
deviation 5/5   iterations 1790/2000   F1 0.5607739932510141   accuracy 0.6666666666666666   precision 0.5567620068362235   recall 0.5837680676791052
deviation 5/5   iterations 1800/2000   F1 0.539295573208347   accuracy 0.6395348837209303   precision 0.5500079431920316   recall 0.5704190936652784
deviation 5/5   iterations 1810/2000   F1 0.5903547863662392   accuracy 0.6950904392764858   precision 0.5820803924282265   recall 0.6101185315665382
deviation 5/5   iterations 1820/2000   F1 0.5287059645514629   accuracy 0.6201550387596899   precision 0.5431731799778933   recall 0.5652797552714741
deviation 5/5   iterations 1830/2000   F1 0.5540006195989235   accuracy 0.6511627906976745   precision 0.5546123051283289   recall 0.5842341399540028
deviation 5/5   iterations 1840/2000   F1 0.5600564507193384   accuracy 0.6602067183462532   precision 0.556664568140881   recall 0.5880847495658806
deviation 5/5   iterations 1850/2000   F1 0.5565108556849045   accuracy 0.648578811369509   precision 0.5615773115773116   recall 0.5917659826922811
deviation 5/5   iterations 1860/2000   F1 0.5754546833522552   accuracy 0.6886304909560723   precision 0.5692932131288296   recall 0.5910901573979771
deviation 5/5   iterations 1870/2000   F1 0.5495781291370418   accuracy 0.6408268733850129   precision 0.5630883062325991   recall 0.589608769012531
deviation 5/5   iterations 1880/2000   F1 0.5483268015613703   accuracy 0.6395348837209303   precision 0.5543368659950629   recall 0.5833885692515764
deviation 5/5   iterations 1890/2000   F1 0.5505754888092643   accuracy 0.6563307493540051   precision 0.5542747035085477   recall 0.5739687853730205
deviation 5/5   iterations 1900/2000   F1 0.556116543464772   accuracy 0.6576227390180879   precision 0.5558249526293993   recall 0.58151095794536
deviation 5/5   iterations 1910/2000   F1 0.5557645034414946   accuracy 0.6640826873385013   precision 0.5553428924868283   recall 0.5771942760585845
deviation 5/5   iterations 1920/2000   F1 0.545668191073354   accuracy 0.6447028423772609   precision 0.5577716244030836   recall 0.5775821367327342
deviation 5/5   iterations 1930/2000   F1 0.5465773355071692   accuracy 0.6434108527131783   precision 0.5463072843413034   recall 0.5765497272062988
deviation 5/5   iterations 1940/2000   F1 0.5535046968625776   accuracy 0.6589147286821705   precision 0.5501143669852017   recall 0.5760836549314012
deviation 5/5   iterations 1950/2000   F1 0.5419495020492526   accuracy 0.6408268733850129   precision 0.5514610867552044   recall 0.5728413577697856
deviation 5/5   iterations 1960/2000   F1 0.555605174552543   accuracy 0.6640826873385013   precision 0.5550272232611491   recall 0.5781267895310247
deviation 5/5   iterations 1970/2000   F1 0.5532949741708638   accuracy 0.6511627906976745   precision 0.5524290987459018   recall 0.5825727583091832
deviation 5/5   iterations 1980/2000   F1 0.5433263983667215   accuracy 0.6395348837209303   precision 0.546507338278695   recall 0.5746743704273575
deviation 5/5   iterations 1990/2000   F1 0.5547722845968989   accuracy 0.6563307493540051   precision 0.559200751773103   recall 0.5828187477306134
deviation 5/5   iterations 2000/2000   F1 0.543837914333534   accuracy 0.6434108527131783   precision 0.5519705988455988   recall 0.5732948456833468

0.5396582362898473
