deviation 1/5   iterations 10/2000   F1 0.3041751314091739   accuracy 0.6134020618556701   precision 0.42016632016632016   recall 0.35378633250150343
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deviation 1/5   iterations 20/2000   F1 0.19528123947063203   accuracy 0.23195876288659795   precision 0.4322365794190857   recall 0.37572469565734307
deviation 1/5   iterations 30/2000   F1 0.46823558252129677   accuracy 0.6224226804123711   precision 0.49838333031877985   recall 0.4671834761043326
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deviation 1/5   iterations 40/2000   F1 0.5097668759453415   accuracy 0.6198453608247423   precision 0.5237191367250553   recall 0.5211353195460481
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deviation 1/5   iterations 50/2000   F1 0.4939309056956116   accuracy 0.6030927835051546   precision 0.516544663629876   recall 0.5046006748286157
deviation 1/5   iterations 60/2000   F1 0.5083044251261851   accuracy 0.6288659793814433   precision 0.5123955811332236   recall 0.5205456690082495
deviation 1/5   iterations 70/2000   F1 0.5308390622652386   accuracy 0.7036082474226805   precision 0.5294293737794187   recall 0.536542576213411
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deviation 1/5   iterations 80/2000   F1 0.5094780393589312   accuracy 0.6713917525773195   precision 0.5105031669172705   recall 0.5092252500070235
deviation 1/5   iterations 90/2000   F1 0.50739731164186   accuracy 0.615979381443299   precision 0.5233018447576688   recall 0.5227735724834092
deviation 1/5   iterations 100/2000   F1 0.5045576197345707   accuracy 0.6134020618556701   precision 0.5225859511088914   recall 0.5197653449813947
deviation 1/5   iterations 110/2000   F1 0.5263534905654565   accuracy 0.6726804123711341   precision 0.5249748844685553   recall 0.5325238972960846
deviation 1/5   iterations 120/2000   F1 0.5090483452528195   accuracy 0.6288659793814433   precision 0.5139354961230138   recall 0.5255135216127158
deviation 1/5   iterations 130/2000   F1 0.5069751713454883   accuracy 0.6121134020618557   precision 0.5176181431736987   recall 0.525574188599411
deviation 1/5   iterations 140/2000   F1 0.5023442444495076   accuracy 0.6018041237113402   precision 0.5219048421038196   recall 0.519275408168708
deviation 1/5   iterations 150/2000   F1 0.49764888007507935   accuracy 0.5811855670103093   precision 0.5202855803029587   recall 0.5291923839723521
deviation 1/5   iterations 160/2000   F1 0.4531779547725258   accuracy 0.520618556701031   precision 0.5069363408073085   recall 0.47911634665849084
deviation 1/5   iterations 170/2000   F1 0.49284231457695227   accuracy 0.5940721649484536   precision 0.5207429113086263   recall 0.5123385657591456
deviation 1/5   iterations 180/2000   F1 0.4904117485608322   accuracy 0.5979381443298969   precision 0.5098218573809725   recall 0.5035520724290533
deviation 1/5   iterations 190/2000   F1 0.4751634692920898   accuracy 0.5682989690721649   precision 0.5130480941498107   recall 0.4950720084559193
deviation 1/5   iterations 200/2000   F1 0.4837898895275945   accuracy 0.5940721649484536   precision 0.5028758683510514   recall 0.4944216909314256
deviation 1/5   iterations 210/2000   F1 0.48079261133350437   accuracy 0.5631443298969072   precision 0.5275031157601775   recall 0.5117551855005087
deviation 1/5   iterations 220/2000   F1 0.5116298643283573   accuracy 0.6314432989690721   precision 0.5213061069838564   recall 0.524109182660968
deviation 1/5   iterations 230/2000   F1 0.470469366970468   accuracy 0.5347938144329897   precision 0.5244638170166104   recall 0.49798080724551114
deviation 1/5   iterations 240/2000   F1 0.5072656590296706   accuracy 0.6172680412371134   precision 0.5152841228140308   recall 0.5241388646967404
deviation 1/5   iterations 250/2000   F1 0.49693430057179305   accuracy 0.6262886597938144   precision 0.5025873983101423   recall 0.5042848807690131
deviation 1/5   iterations 260/2000   F1 0.48296841798179857   accuracy 0.5850515463917526   precision 0.5096208262591964   recall 0.49863173551148177
deviation 1/5   iterations 270/2000   F1 0.5084449754874406   accuracy 0.6237113402061856   precision 0.5246647927369067   recall 0.5236727468016487
deviation 1/5   iterations 280/2000   F1 0.4750557520833902   accuracy 0.5579896907216495   precision 0.5335179600691801   recall 0.5056461828046959
deviation 1/5   iterations 290/2000   F1 0.4979743254737996   accuracy 0.5940721649484536   precision 0.5156510951393258   recall 0.524362111064559
deviation 1/5   iterations 300/2000   F1 0.48419170459200006   accuracy 0.5605670103092784   precision 0.5207719148233786   recall 0.5125783428629361
deviation 1/5   iterations 310/2000   F1 0.5079178485283943   accuracy 0.615979381443299   precision 0.5155748949130358   recall 0.5267900527314191
deviation 1/5   iterations 320/2000   F1 0.46436665861362797   accuracy 0.5270618556701031   precision 0.5192062823303606   recall 0.5019310424013378
deviation 1/5   iterations 330/2000   F1 0.5045823325393218   accuracy 0.6069587628865979   precision 0.5140577477314366   recall 0.5271946078856496
deviation 1/5   iterations 340/2000   F1 0.4919201032684864   accuracy 0.586340206185567   precision 0.5187262176560122   recall 0.5178213548607489
deviation 1/5   iterations 350/2000   F1 0.4981050963159208   accuracy 0.586340206185567   precision 0.5310677039885965   recall 0.524784499869912
deviation 1/5   iterations 360/2000   F1 0.5068673255465708   accuracy 0.6327319587628866   precision 0.5086605121303247   recall 0.5199513361191288
deviation 1/5   iterations 370/2000   F1 0.4757081016132842   accuracy 0.5644329896907216   precision 0.5067974409050424   recall 0.4971063475990327
deviation 1/5   iterations 380/2000   F1 0.5103548885145465   accuracy 0.6030927835051546   precision 0.52172668084061   recall 0.5433403324306574
deviation 1/5   iterations 390/2000   F1 0.46864108613996064   accuracy 0.5463917525773195   precision 0.49921519297347244   recall 0.500491931901511
deviation 1/5   iterations 400/2000   F1 0.4967655321565741   accuracy 0.5786082474226805   precision 0.5191430729993107   recall 0.5288531781561389
deviation 1/5   iterations 410/2000   F1 0.47760453148164234   accuracy 0.5644329896907216   precision 0.5197733056051351   recall 0.5009118370248584
deviation 1/5   iterations 420/2000   F1 0.49434258900201705   accuracy 0.5992268041237113   precision 0.5238627691325789   recall 0.5097667741164504
deviation 1/5   iterations 430/2000   F1 0.508327829981861   accuracy 0.625   precision 0.517096229327613   recall 0.5213250972809382
deviation 1/5   iterations 440/2000   F1 0.4950059898077865   accuracy 0.5940721649484536   precision 0.5122579496971906   recall 0.5145448489860267
deviation 1/5   iterations 450/2000   F1 0.5090916785017437   accuracy 0.634020618556701   precision 0.5108444097758538   recall 0.5239856500182611
deviation 1/5   iterations 460/2000   F1 0.5198574755974307   accuracy 0.6391752577319587   precision 0.5234387249380434   recall 0.5332264128587954
deviation 1/5   iterations 470/2000   F1 0.4922432870634865   accuracy 0.6069587628865979   precision 0.5101124030927285   recall 0.5003859478972374
deviation 1/5   iterations 480/2000   F1 0.4975838041442748   accuracy 0.6018041237113402   precision 0.5178877583870509   recall 0.5135412785913532
deviation 1/5   iterations 490/2000   F1 0.5117662831300548   accuracy 0.6469072164948454   precision 0.5105888248017431   recall 0.5222204850020216
deviation 1/5   iterations 500/2000   F1 0.506567246008388   accuracy 0.6417525773195877   precision 0.5135122671093894   recall 0.5110510820099584
deviation 1/5   iterations 510/2000   F1 0.509497266731577   accuracy 0.6108247422680413   precision 0.5271822488157567   recall 0.5297320351412503
deviation 1/5   iterations 520/2000   F1 0.5014732116486503   accuracy 0.6108247422680413   precision 0.509212895738873   recall 0.5228873332624874
deviation 1/5   iterations 530/2000   F1 0.5008997223713826   accuracy 0.6172680412371134   precision 0.5123961603947298   recall 0.5119302240077589
deviation 1/5   iterations 540/2000   F1 0.49638087973934875   accuracy 0.6172680412371134   precision 0.4998687423567392   recall 0.5115600332406228
deviation 1/5   iterations 550/2000   F1 0.46427965289753903   accuracy 0.5567010309278351   precision 0.48672946345541046   recall 0.4820957878788989
deviation 1/5   iterations 560/2000   F1 0.5120355075226102   accuracy 0.6353092783505154   precision 0.5128088264825809   recall 0.5314552625760832
deviation 1/5   iterations 570/2000   F1 0.5006972115953808   accuracy 0.6391752577319587   precision 0.5014279394681721   recall 0.516842091976852
deviation 1/5   iterations 580/2000   F1 0.5089422756089422   accuracy 0.634020618556701   precision 0.5102001483733898   recall 0.5264695763204944
deviation 1/5   iterations 590/2000   F1 0.4808391066396682   accuracy 0.5837628865979382   precision 0.4930791565519539   recall 0.5015864620601288
deviation 1/5   iterations 600/2000   F1 0.500287804585764   accuracy 0.615979381443299   precision 0.5054422701217601   recall 0.522033190949137
deviation 1/5   iterations 610/2000   F1 0.4715682604333568   accuracy 0.5708762886597938   precision 0.4921137533326055   recall 0.48789278311226525
deviation 1/5   iterations 620/2000   F1 0.4962802787688687   accuracy 0.6365979381443299   precision 0.4964905502430857   recall 0.5061044424927861
deviation 1/5   iterations 630/2000   F1 0.5078229521085619   accuracy 0.6559278350515464   precision 0.5062268430469268   recall 0.513042587817499
deviation 1/5   iterations 640/2000   F1 0.5241826886705789   accuracy 0.6469072164948454   precision 0.5222184019238764   recall 0.5372832427603723
deviation 1/5   iterations 650/2000   F1 0.4857416209496208   accuracy 0.5837628865979382   precision 0.5109364924607044   recall 0.49938017883324765
deviation 1/5   iterations 660/2000   F1 0.5016910593330427   accuracy 0.6262886597938144   precision 0.5073671328807059   recall 0.5247115773375824
deviation 1/5   iterations 670/2000   F1 0.47528381349249865   accuracy 0.5695876288659794   precision 0.49761341872094106   recall 0.4934906359080973
deviation 1/5   iterations 680/2000   F1 0.48463621712629085   accuracy 0.615979381443299   precision 0.48715713939949995   recall 0.5009586605380795
deviation 1/5   iterations 690/2000   F1 0.49502675607938773   accuracy 0.6056701030927835   precision 0.5110593709567124   recall 0.5077014500224143
deviation 1/5   iterations 700/2000   F1 0.5205160120240567   accuracy 0.6662371134020618   precision 0.5170266560124572   recall 0.5305986365807273
deviation 1/5   iterations 710/2000   F1 0.5264453728904688   accuracy 0.6610824742268041   precision 0.5233893689013344   recall 0.5360245452927915
deviation 1/5   iterations 720/2000   F1 0.5115652039396714   accuracy 0.6430412371134021   precision 0.5098083668838386   recall 0.5235810948640306
deviation 1/5   iterations 730/2000   F1 0.49812147589775807   accuracy 0.6314432989690721   precision 0.49801845323922755   recall 0.5136440867399475
deviation 1/5   iterations 740/2000   F1 0.51662437536719   accuracy 0.6430412371134021   precision 0.5151149945370931   recall 0.5314030645378661
deviation 1/5   iterations 750/2000   F1 0.5002764059065832   accuracy 0.6327319587628866   precision 0.500748886404229   recall 0.5102266217323804
deviation 1/5   iterations 760/2000   F1 0.5045539997806234   accuracy 0.6121134020618557   precision 0.5100367419695151   recall 0.5239490869618502
deviation 1/5   iterations 770/2000   F1 0.5160616584864706   accuracy 0.6365979381443299   precision 0.5162028447742734   recall 0.5316581916107737
deviation 1/5   iterations 780/2000   F1 0.5358261331771265   accuracy 0.6713917525773195   precision 0.5319843047724621   recall 0.5466174490468565
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deviation 1/5   iterations 790/2000   F1 0.502499438143253   accuracy 0.6327319587628866   precision 0.5037258059864105   recall 0.5128956434181816
deviation 1/5   iterations 800/2000   F1 0.5048128096751684   accuracy 0.6224226804123711   precision 0.5161007492427866   recall 0.5157403957849066
deviation 1/5   iterations 810/2000   F1 0.5045496317426738   accuracy 0.6378865979381443   precision 0.5037110818641706   recall 0.5189120984222105
deviation 1/5   iterations 820/2000   F1 0.5239709452234353   accuracy 0.663659793814433   precision 0.5223299500075745   recall 0.5370374803901091
deviation 1/5   iterations 830/2000   F1 0.511969246960616   accuracy 0.6314432989690721   precision 0.5173881254625693   recall 0.523831539585616
deviation 1/5   iterations 840/2000   F1 0.5137674325024745   accuracy 0.6585051546391752   precision 0.512447942695319   recall 0.5272155359602545
deviation 1/5   iterations 850/2000   F1 0.5132526722981415   accuracy 0.6469072164948454   precision 0.5113194515327821   recall 0.5264220606335995
deviation 1/5   iterations 860/2000   F1 0.5003716015927061   accuracy 0.6353092783505154   precision 0.5030292916540794   recall 0.5064567996087997
deviation 1/5   iterations 870/2000   F1 0.5006198569215723   accuracy 0.6198453608247423   precision 0.5021413771413772   recall 0.5180961070931108
deviation 1/5   iterations 880/2000   F1 0.49202409900369465   accuracy 0.6134020618556701   precision 0.4967806001599606   recall 0.5044249441476919
deviation 1/5   iterations 890/2000   F1 0.5081764755645403   accuracy 0.6842783505154639   precision 0.5086368809964713   recall 0.5233150151606393
deviation 1/5   iterations 900/2000   F1 0.5250518429326377   accuracy 0.6688144329896907   precision 0.5224742937007089   recall 0.5371347104332153
deviation 1/5   iterations 910/2000   F1 0.5002385436283742   accuracy 0.6391752577319587   precision 0.49851597897860644   recall 0.5092052176865846
deviation 1/5   iterations 920/2000   F1 0.516105948910769   accuracy 0.6520618556701031   precision 0.5163692722463605   recall 0.5241279120662565
deviation 1/5   iterations 930/2000   F1 0.4868410763205023   accuracy 0.6134020618556701   precision 0.4886252167897738   recall 0.4981355284196331
deviation 1/5   iterations 940/2000   F1 0.5172869112803694   accuracy 0.6520618556701031   precision 0.5167946219905518   recall 0.5325310633294124
deviation 1/5   iterations 950/2000   F1 0.5025538199569977   accuracy 0.6597938144329897   precision 0.4991592352975462   recall 0.5121706118530263
deviation 1/5   iterations 960/2000   F1 0.5069995172536008   accuracy 0.6649484536082474   precision 0.5042149065404878   recall 0.5192309869052956
deviation 1/5   iterations 970/2000   F1 0.5092347765580509   accuracy 0.6610824742268041   precision 0.5058677181617613   recall 0.5182002181568556
deviation 1/5   iterations 980/2000   F1 0.5230445880484873   accuracy 0.6842783505154639   precision 0.5201308628386229   recall 0.5272130522782489
deviation 1/5   iterations 990/2000   F1 0.5048637015941777   accuracy 0.6533505154639175   precision 0.507860272088117   recall 0.5056476893003387
deviation 1/5   iterations 1000/2000   F1 0.5231573885887857   accuracy 0.6726804123711341   precision 0.5201690821256039   recall 0.5289035032538271
deviation 1/5   iterations 1010/2000   F1 0.5215724662949908   accuracy 0.6610824742268041   precision 0.5196614925230422   recall 0.5282025756189559
deviation 1/5   iterations 1020/2000   F1 0.5081212670789218   accuracy 0.6572164948453608   precision 0.5052015052134942   recall 0.5145004277226143
deviation 1/5   iterations 1030/2000   F1 0.5188125720693094   accuracy 0.663659793814433   precision 0.5166238236471505   recall 0.5233888334471348
deviation 1/5   iterations 1040/2000   F1 0.5010290704592356   accuracy 0.6314432989690721   precision 0.5033439798683701   recall 0.5097201541837216
deviation 1/5   iterations 1050/2000   F1 0.500105667052723   accuracy 0.6430412371134021   precision 0.4976503494574395   recall 0.5078446078245755
deviation 1/5   iterations 1060/2000   F1 0.4995388736501882   accuracy 0.6275773195876289   precision 0.502533676320084   recall 0.5076454653870411
deviation 1/5   iterations 1070/2000   F1 0.4997180623595927   accuracy 0.6146907216494846   precision 0.5084501712361166   recall 0.512357295164434
deviation 1/5   iterations 1080/2000   F1 0.49696834761716663   accuracy 0.6262886597938144   precision 0.4967171717171717   recall 0.508486456400591
deviation 1/5   iterations 1090/2000   F1 0.496351004176845   accuracy 0.6172680412371134   precision 0.5011721606880083   recall 0.5165278858450891
deviation 1/5   iterations 1100/2000   F1 0.4900740539329234   accuracy 0.6134020618556701   precision 0.4956002331002331   recall 0.5016633747701067
deviation 1/5   iterations 1110/2000   F1 0.5108262608559967   accuracy 0.6469072164948454   precision 0.5120721916037286   recall 0.5170675370139872
deviation 1/5   iterations 1120/2000   F1 0.4829504479587812   accuracy 0.6134020618556701   precision 0.48473125150845986   recall 0.4953739590420479
deviation 1/5   iterations 1130/2000   F1 0.4987564395474566   accuracy 0.6507731958762887   precision 0.4958252787426722   recall 0.5065633943545501
deviation 1/5   iterations 1140/2000   F1 0.5090485097025335   accuracy 0.6481958762886598   precision 0.5061002178649238   recall 0.5209167555295515
deviation 1/5   iterations 1150/2000   F1 0.500645464522329   accuracy 0.6430412371134021   precision 0.49813131436479835   recall 0.5078446078245755
deviation 1/5   iterations 1160/2000   F1 0.5051432269491468   accuracy 0.6585051546391752   precision 0.5037619224575747   recall 0.5075551163645735
deviation 1/5   iterations 1170/2000   F1 0.5050971993442347   accuracy 0.6610824742268041   precision 0.5021469758311864   recall 0.510470796174804
deviation 1/5   iterations 1180/2000   F1 0.5080230782330545   accuracy 0.6417525773195877   precision 0.5097196225072792   recall 0.5144863806686479
deviation 1/5   iterations 1190/2000   F1 0.5123201852378708   accuracy 0.6378865979381443   precision 0.5122575877020102   recall 0.5252940618420533
deviation 1/5   iterations 1200/2000   F1 0.5001784435208633   accuracy 0.6185567010309279   precision 0.5028860451839637   recall 0.5182633688255563
deviation 1/5   iterations 1210/2000   F1 0.5194525118105483   accuracy 0.6662371134020618   precision 0.5163776205995886   recall 0.52802216258671
deviation 1/5   iterations 1220/2000   F1 0.5078061709065348   accuracy 0.6688144329896907   precision 0.5050649754458338   recall 0.5119511520823637
deviation 1/5   iterations 1230/2000   F1 0.515799866836908   accuracy 0.6610824742268041   precision 0.5121347264759625   recall 0.5243970861931303
deviation 1/5   iterations 1240/2000   F1 0.5152010465602073   accuracy 0.6572164948453608   precision 0.51249438368614   recall 0.5274753453844842
deviation 1/5   iterations 1250/2000   F1 0.5024999267671075   accuracy 0.6430412371134021   precision 0.5051668815674418   recall 0.5054532292141264
deviation 1/5   iterations 1260/2000   F1 0.5122704182903809   accuracy 0.645618556701031   precision 0.512082923050665   recall 0.5191375434593456
deviation 1/5   iterations 1270/2000   F1 0.5019071565407772   accuracy 0.6353092783505154   precision 0.5016822452050088   recall 0.5107509229321617
deviation 1/5   iterations 1280/2000   F1 0.5250246407876881   accuracy 0.6778350515463918   precision 0.524068138651472   recall 0.5274681793511564
deviation 1/5   iterations 1290/2000   F1 0.4971076766144038   accuracy 0.6443298969072165   precision 0.4950297001566146   recall 0.5057746013792171
deviation 1/5   iterations 1300/2000   F1 0.4986952061891345   accuracy 0.6288659793814433   precision 0.49876457341165015   recall 0.5114946839026054
deviation 1/5   iterations 1310/2000   F1 0.49780116696608506   accuracy 0.6481958762886598   precision 0.4960220241285976   recall 0.5026963421878633
deviation 1/5   iterations 1320/2000   F1 0.5207405820459831   accuracy 0.6559278350515464   precision 0.5179738562091503   recall 0.5338394751532044
deviation 1/5   iterations 1330/2000   F1 0.5015531503458873   accuracy 0.6597938144329897   precision 0.49908910533910533   recall 0.5061588392003196
deviation 1/5   iterations 1340/2000   F1 0.5020635603760081   accuracy 0.645618556701031   precision 0.4999915601212508   recall 0.5141955862934955
deviation 1/5   iterations 1350/2000   F1 0.47932638705188646   accuracy 0.6417525773195877   precision 0.4864739516819861   recall 0.4761428092723585
deviation 1/5   iterations 1360/2000   F1 0.48699242251815056   accuracy 0.6134020618556701   precision 0.5031102995521933   recall 0.4899174725400453
deviation 1/5   iterations 1370/2000   F1 0.5004198604198604   accuracy 0.6417525773195877   precision 0.5033138801395117   recall 0.5030440169525547
deviation 1/5   iterations 1380/2000   F1 0.5084855574798689   accuracy 0.6675257731958762   precision 0.5051113888949408   recall 0.5146948878088266
deviation 1/5   iterations 1390/2000   F1 0.5096833276187321   accuracy 0.6739690721649485   precision 0.5083825886835464   recall 0.5129997544819264
deviation 1/5   iterations 1400/2000   F1 0.5346604432004115   accuracy 0.6932989690721649   precision 0.5336968623821213   recall 0.5398759624776722
deviation 1/5   iterations 1410/2000   F1 0.5104953394855991   accuracy 0.6610824742268041   precision 0.5097286226318484   recall 0.5207766921508727
deviation 1/5   iterations 1420/2000   F1 0.5166512235786236   accuracy 0.6726804123711341   precision 0.5130127857594652   recall 0.5277670355138026
deviation 1/5   iterations 1430/2000   F1 0.5238524136184494   accuracy 0.6752577319587629   precision 0.5228483347342621   recall 0.5319117307558414
deviation 1/5   iterations 1440/2000   F1 0.49554755411075546   accuracy 0.6365979381443299   precision 0.4946104045482927   recall 0.5002777652236474
deviation 1/5   iterations 1450/2000   F1 0.5150113409522514   accuracy 0.6649484536082474   precision 0.5137061403508771   recall 0.517976076034871
deviation 1/5   iterations 1460/2000   F1 0.49466573952929843   accuracy 0.6804123711340206   precision 0.5010910479093152   recall 0.4947093094508987
deviation 1/5   iterations 1470/2000   F1 0.4973271202456127   accuracy 0.6572164948453608   precision 0.5059581841870429   recall 0.4940737311540449
deviation 1/5   iterations 1480/2000   F1 0.5055806390137125   accuracy 0.6378865979381443   precision 0.5115317581999974   recall 0.5116454148990791
deviation 1/5   iterations 1490/2000   F1 0.5007768476311523   accuracy 0.6353092783505154   precision 0.5017448877680476   recall 0.5074081719652561
deviation 1/5   iterations 1500/2000   F1 0.5213638542201222   accuracy 0.6533505154639175   precision 0.5198130025891415   recall 0.5309237953429741
deviation 1/5   iterations 1510/2000   F1 0.5218651735467369   accuracy 0.6713917525773195   precision 0.519792928679628   recall 0.5248691893546946
deviation 1/5   iterations 1520/2000   F1 0.5085554494790927   accuracy 0.654639175257732   precision 0.5050228694011961   recall 0.5174114251815226
deviation 1/5   iterations 1530/2000   F1 0.5148218804893488   accuracy 0.6623711340206185   precision 0.5119334069959548   recall 0.5249961014335731
deviation 1/5   iterations 1540/2000   F1 0.5009503834305564   accuracy 0.645618556701031   precision 0.5019165828978543   recall 0.5041673333927789
deviation 1/5   iterations 1550/2000   F1 0.5092052184423173   accuracy 0.6623711340206185   precision 0.5063553630872387   recall 0.513831380792832
deviation 1/5   iterations 1560/2000   F1 0.5094128971387868   accuracy 0.6507731958762887   precision 0.5090117928826337   recall 0.5146630071037377
deviation 1/5   iterations 1570/2000   F1 0.5013366277685162   accuracy 0.6572164948453608   precision 0.49974027078775   recall 0.5033357070818731
deviation 1/5   iterations 1580/2000   F1 0.5054929798017521   accuracy 0.6688144329896907   precision 0.5086691284443292   recall 0.5135762537199245
deviation 1/5   iterations 1590/2000   F1 0.5159708206804859   accuracy 0.6765463917525774   precision 0.5135900018548253   recall 0.5238299516577763
deviation 1/5   iterations 1600/2000   F1 0.5134275999255274   accuracy 0.6623711340206185   precision 0.5131552403759878   recall 0.5274800277358063
deviation 1/5   iterations 1610/2000   F1 0.5007430006566548   accuracy 0.6520618556701031   precision 0.5001948961568914   recall 0.5132667299394836
deviation 1/5   iterations 1620/2000   F1 0.5231517408043466   accuracy 0.6494845360824743   precision 0.5286097190613351   recall 0.5317957713074468
deviation 1/5   iterations 1630/2000   F1 0.5031929054110122   accuracy 0.6417525773195877   precision 0.5012086408354285   recall 0.5140236422097278
deviation 1/5   iterations 1640/2000   F1 0.506654110702531   accuracy 0.6739690721649485   precision 0.5044609751575825   recall 0.5120483821254699
deviation 1/5   iterations 1650/2000   F1 0.505949018944969   accuracy 0.6572164948453608   precision 0.5034544609120678   recall 0.5161255293601751
deviation 1/5   iterations 1660/2000   F1 0.5169443148531384   accuracy 0.6649484536082474   precision 0.5137567220014029   recall 0.5280968766273716
deviation 1/5   iterations 1670/2000   F1 0.5134237215485444   accuracy 0.6623711340206185   precision 0.5175615501659059   recall 0.5325404280320566
deviation 1/5   iterations 1680/2000   F1 0.5213714622749605   accuracy 0.6817010309278351   precision 0.5221579930001035   recall 0.5308903267100455
deviation 1/5   iterations 1690/2000   F1 0.5074352675362306   accuracy 0.6391752577319587   precision 0.5077385514584253   recall 0.5163534580793158
deviation 1/5   iterations 1700/2000   F1 0.5131680518008577   accuracy 0.6765463917525774   precision 0.5135868859606696   recall 0.5153342527028365
deviation 1/5   iterations 1710/2000   F1 0.5240876338245916   accuracy 0.6739690721649485   precision 0.5217800217800218   recall 0.5288287892131655
deviation 1/5   iterations 1720/2000   F1 0.48974008538842045   accuracy 0.6391752577319587   precision 0.4890811627607659   recall 0.4927950013660251
deviation 1/5   iterations 1730/2000   F1 0.5103234747060542   accuracy 0.6378865979381443   precision 0.5097766939872203   recall 0.5234838648209245
deviation 1/5   iterations 1740/2000   F1 0.5077053974232588   accuracy 0.6443298969072165   precision 0.5064711926557582   recall 0.5148255864848612
deviation 1/5   iterations 1750/2000   F1 0.5027374800515234   accuracy 0.6572164948453608   precision 0.5012835370564211   recall 0.505053356411218
deviation 1/5   iterations 1760/2000   F1 0.511699175303942   accuracy 0.654639175257732   precision 0.5091923121757883   recall 0.5201729945591077
deviation 1/5   iterations 1770/2000   F1 0.5276345153009832   accuracy 0.6688144329896907   precision 0.5249577845322526   recall 0.5381786304814556
deviation 1/5   iterations 1780/2000   F1 0.5063190345002032   accuracy 0.6559278350515464   precision 0.5039153948400963   recall 0.5120912154610426
deviation 1/5   iterations 1790/2000   F1 0.5191995258954606   accuracy 0.6765463917525774   precision 0.5181679209943533   recall 0.5264989733435775
deviation 1/5   iterations 1800/2000   F1 0.5082220495587847   accuracy 0.6649484536082474   precision 0.5059957701177175   recall 0.5142631343008293
deviation 1/5   iterations 1810/2000   F1 0.5071920254561985   accuracy 0.6649484536082474   precision 0.5060263698817916   recall 0.5116866603068121
deviation 1/5   iterations 1820/2000   F1 0.5141022058169463   accuracy 0.6520618556701031   precision 0.511259845508807   recall 0.5206926134075669
deviation 1/5   iterations 1830/2000   F1 0.5269926079649992   accuracy 0.6675257731958762   precision 0.5238060179932245   recall 0.5325192149447625
deviation 1/5   iterations 1840/2000   F1 0.5261908703962486   accuracy 0.6881443298969072   precision 0.5278299788025577   recall 0.5251787131351355
deviation 1/5   iterations 1850/2000   F1 0.5127174819320041   accuracy 0.6507731958762887   precision 0.512033852033852   recall 0.5183759488377793
deviation 1/5   iterations 1860/2000   F1 0.5132045578891925   accuracy 0.6417525773195877   precision 0.5123305157543896   recall 0.5264173782822774
deviation 1/5   iterations 1870/2000   F1 0.5300741040302258   accuracy 0.6778350515463918   precision 0.5274787899498722   recall 0.5336650473874313
deviation 1/5   iterations 1880/2000   F1 0.5099186197546853   accuracy 0.6610824742268041   precision 0.5074019817547227   recall 0.5182927658486395
deviation 1/5   iterations 1890/2000   F1 0.5095155814453635   accuracy 0.6623711340206185   precision 0.5070111011182877   recall 0.513923928484616
deviation 1/5   iterations 1900/2000   F1 0.5034010779061645   accuracy 0.6623711340206185   precision 0.5019950022359883   recall 0.5068682357836689
deviation 1/5   iterations 1910/2000   F1 0.5098567880474258   accuracy 0.6662371134020618   precision 0.5091794211529374   recall 0.5124707709308229
deviation 1/5   iterations 1920/2000   F1 0.511576674656469   accuracy 0.6675257731958762   precision 0.5093358762188932   recall 0.5148799831923946
deviation 1/5   iterations 1930/2000   F1 0.5139893499475693   accuracy 0.6675257731958762   precision 0.5127256837294012   recall 0.5225168574826621
deviation 1/5   iterations 1940/2000   F1 0.5119644145321963   accuracy 0.6649484536082474   precision 0.5111085774670897   recall 0.5211337316182084
deviation 1/5   iterations 1950/2000   F1 0.4959758315695226   accuracy 0.6417525773195877   precision 0.49324110525090914   recall 0.503625198541875
deviation 1/5   iterations 1960/2000   F1 0.5032024429731634   accuracy 0.6688144329896907   precision 0.5029620190910514   recall 0.5034554531274239
deviation 1/5   iterations 1970/2000   F1 0.5119267950316079   accuracy 0.6688144329896907   precision 0.5098498676269876   recall 0.514712721459949
deviation 1/5   iterations 1980/2000   F1 0.5224698162267495   accuracy 0.6778350515463918   precision 0.5250613446604538   recall 0.5306258349344939
deviation 1/5   iterations 1990/2000   F1 0.4998794822136707   accuracy 0.6481958762886598   precision 0.4979883471507864   recall 0.5062241885383368
deviation 1/5   iterations 2000/2000   F1 0.5144796589541584   accuracy 0.6559278350515464   precision 0.5208741190833405   recall 0.5169406249351086

deviation 2/5   iterations 10/2000   F1 0.37467740140666406   accuracy 0.44129032258064516   precision 0.43409736363922774   recall 0.4228704844082134
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deviation 2/5   iterations 20/2000   F1 0.3890327656868366   accuracy 0.5458064516129032   precision 0.46274225665897756   recall 0.41370148730618367
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deviation 2/5   iterations 30/2000   F1 0.45677931806663147   accuracy 0.6038709677419355   precision 0.5060938071944361   recall 0.4664099874352023
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deviation 2/5   iterations 40/2000   F1 0.49470735691997353   accuracy 0.6593548387096774   precision 0.5299411888258769   recall 0.48963972786470916
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deviation 2/5   iterations 50/2000   F1 0.502786721865788   accuracy 0.6283870967741936   precision 0.519287910112748   recall 0.5125238913599057
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deviation 2/5   iterations 60/2000   F1 0.4861819118891675   accuracy 0.5729032258064516   precision 0.514961782066587   recall 0.51088231910921
deviation 2/5   iterations 70/2000   F1 0.5043088896660523   accuracy 0.6412903225806451   precision 0.5046511591114401   recall 0.5263441870998028
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deviation 2/5   iterations 80/2000   F1 0.5247231469787174   accuracy 0.6490322580645161   precision 0.5239321269516116   recall 0.5354595968694525
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deviation 2/5   iterations 90/2000   F1 0.5076972792190183   accuracy 0.5961290322580645   precision 0.536187603811522   recall 0.532054715038929
deviation 2/5   iterations 100/2000   F1 0.47052283081871443   accuracy 0.5135483870967742   precision 0.5453414796771127   recall 0.5214681489168241
deviation 2/5   iterations 110/2000   F1 0.5091213354746205   accuracy 0.6090322580645161   precision 0.5427916578315638   recall 0.5294435802293996
deviation 2/5   iterations 120/2000   F1 0.5420265186043586   accuracy 0.6516129032258065   precision 0.543545527306427   recall 0.5630790806671794
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deviation 2/5   iterations 130/2000   F1 0.5358872135229387   accuracy 0.655483870967742   precision 0.53922693320642   recall 0.5469027421824263
deviation 2/5   iterations 140/2000   F1 0.5120155002482278   accuracy 0.6038709677419355   precision 0.5573349265588953   recall 0.5337330212014394
deviation 2/5   iterations 150/2000   F1 0.5217965943727912   accuracy 0.6309677419354839   precision 0.5415746971136053   recall 0.5330241139723202
deviation 2/5   iterations 160/2000   F1 0.5297988995846944   accuracy 0.6412903225806451   precision 0.536922502230496   recall 0.542696259309674
deviation 2/5   iterations 170/2000   F1 0.5328045588855792   accuracy 0.6529032258064517   precision 0.5394239744487269   recall 0.5410621320166067
deviation 2/5   iterations 180/2000   F1 0.5230584182723798   accuracy 0.6219354838709678   precision 0.5412849205733987   recall 0.5386395755294223
deviation 2/5   iterations 190/2000   F1 0.528078153380329   accuracy 0.6219354838709678   precision 0.5608676103052811   recall 0.5503434579848316
deviation 2/5   iterations 200/2000   F1 0.5164375940401126   accuracy 0.6477419354838709   precision 0.522939607948143   recall 0.5197905790688043
deviation 2/5   iterations 210/2000   F1 0.516700880337244   accuracy 0.6116129032258064   precision 0.5301811042728256   recall 0.5373102824355124
deviation 2/5   iterations 220/2000   F1 0.4948717948717949   accuracy 0.5651612903225807   precision 0.5275003368990859   recall 0.530855749609876
deviation 2/5   iterations 230/2000   F1 0.514680523130535   accuracy 0.6283870967741936   precision 0.5188531517483804   recall 0.5431938442799572
deviation 2/5   iterations 240/2000   F1 0.5195266272189349   accuracy 0.6180645161290322   precision 0.5307084891948598   recall 0.5407045286122812
deviation 2/5   iterations 250/2000   F1 0.4877019317330186   accuracy 0.5638709677419355   precision 0.5186140168437944   recall 0.5163706436975816
deviation 2/5   iterations 260/2000   F1 0.5034214735288863   accuracy 0.5767741935483871   precision 0.5303272082527402   recall 0.5407983678034872
deviation 2/5   iterations 270/2000   F1 0.5289727296081824   accuracy 0.6412903225806451   precision 0.5335405127103298   recall 0.5452308992248899
deviation 2/5   iterations 280/2000   F1 0.516830198663815   accuracy 0.6012903225806452   precision 0.5351429805262337   recall 0.5460163013483227
deviation 2/5   iterations 290/2000   F1 0.5365598091088287   accuracy 0.6451612903225806   precision 0.5355767821696441   recall 0.5586280595707875
deviation 2/5   iterations 300/2000   F1 0.5366178747164959   accuracy 0.6567741935483871   precision 0.5341034790365745   recall 0.55933786673984
deviation 2/5   iterations 310/2000   F1 0.47973583790159563   accuracy 0.5432258064516129   precision 0.5268559482716709   recall 0.5169459507529961
deviation 2/5   iterations 320/2000   F1 0.5135186185499082   accuracy 0.6309677419354839   precision 0.5159725065233918   recall 0.5333816355639245
deviation 2/5   iterations 330/2000   F1 0.4990022776787482   accuracy 0.5793548387096774   precision 0.5144812456804667   recall 0.5357375964960592
deviation 2/5   iterations 340/2000   F1 0.5198512568793694   accuracy 0.6012903225806452   precision 0.5333774308456148   recall 0.5529448570805392
deviation 2/5   iterations 350/2000   F1 0.5321808259235405   accuracy 0.6451612903225806   precision 0.5295249773178466   recall 0.5499037964211516
deviation 2/5   iterations 360/2000   F1 0.5188186293070807   accuracy 0.6103225806451613   precision 0.5353628198131756   recall 0.5493158083939524
deviation 2/5   iterations 370/2000   F1 0.5429826838519307   accuracy 0.6645161290322581   precision 0.5384742951907131   recall 0.5601501034358234
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deviation 2/5   iterations 380/2000   F1 0.5173119849434012   accuracy 0.6090322580645161   precision 0.526374746195509   recall 0.5457717631246831
deviation 2/5   iterations 390/2000   F1 0.5089282629263273   accuracy 0.5909677419354838   precision 0.5296526078544544   recall 0.5424066422766581
deviation 2/5   iterations 400/2000   F1 0.5171280658991074   accuracy 0.64   precision 0.5161114035278961   recall 0.5355607992055658
deviation 2/5   iterations 410/2000   F1 0.5344208999157009   accuracy 0.6503225806451612   precision 0.5349209459941601   recall 0.5526700481500589
deviation 2/5   iterations 420/2000   F1 0.5076616569067811   accuracy 0.6141935483870967   precision 0.5136472162459987   recall 0.5314470101459228
deviation 2/5   iterations 430/2000   F1 0.5177024843422909   accuracy 0.6283870967741936   precision 0.5216931108648768   recall 0.5373856319517292
deviation 2/5   iterations 440/2000   F1 0.5282322524195108   accuracy 0.6425806451612903   precision 0.5282712667666688   recall 0.5483935335879672
deviation 2/5   iterations 450/2000   F1 0.4949899644143965   accuracy 0.6025806451612903   precision 0.5067452902011268   recall 0.5147665416731911
deviation 2/5   iterations 460/2000   F1 0.45414555029384385   accuracy 0.4941935483870968   precision 0.5231546315450009   recall 0.5084329280494752
deviation 2/5   iterations 470/2000   F1 0.5337859612395724   accuracy 0.6709677419354839   precision 0.5320431885115946   recall 0.5459686863445896
deviation 2/5   iterations 480/2000   F1 0.4949578088342797   accuracy 0.567741935483871   precision 0.5215009971596513   recall 0.5272967326126287
deviation 2/5   iterations 490/2000   F1 0.5334633741144416   accuracy 0.6812903225806451   precision 0.5376767676767676   recall 0.5478462064832
deviation 2/5   iterations 500/2000   F1 0.5194736220885018   accuracy 0.6270967741935484   precision 0.5257842390452883   recall 0.5360187050060713
deviation 2/5   iterations 510/2000   F1 0.5198351665423813   accuracy 0.6619354838709678   precision 0.5194804630655286   recall 0.5357406235667433
deviation 2/5   iterations 520/2000   F1 0.5273142707925317   accuracy 0.6387096774193548   precision 0.5316648893488732   recall 0.5431724093470053
deviation 2/5   iterations 530/2000   F1 0.5221202744052276   accuracy 0.632258064516129   precision 0.5256652261355714   recall 0.5412560281658291
deviation 2/5   iterations 540/2000   F1 0.4934304636784688   accuracy 0.655483870967742   precision 0.5044069934110379   recall 0.5301056905819976
deviation 2/5   iterations 550/2000   F1 0.5128983807775461   accuracy 0.655483870967742   precision 0.5143308834078845   recall 0.5339513793542979
deviation 2/5   iterations 560/2000   F1 0.5247955028624561   accuracy 0.64   precision 0.5230570440174098   recall 0.5418775594087165
deviation 2/5   iterations 570/2000   F1 0.5333889998696417   accuracy 0.6658064516129032   precision 0.5291650861798879   recall 0.5425270706022512
deviation 2/5   iterations 580/2000   F1 0.516165688371043   accuracy 0.6438709677419355   precision 0.5167290852854985   recall 0.5264401534217598
deviation 2/5   iterations 590/2000   F1 0.5262902676039639   accuracy 0.6735483870967742   precision 0.5237677527151211   recall 0.5402325510237308
deviation 2/5   iterations 600/2000   F1 0.5248941470205838   accuracy 0.6309677419354839   precision 0.5267427720621437   recall 0.5458880190014953
deviation 2/5   iterations 610/2000   F1 0.514848678275472   accuracy 0.6361290322580645   precision 0.5150642972553912   recall 0.5368868197906281
deviation 2/5   iterations 620/2000   F1 0.4992262673335411   accuracy 0.6   precision 0.5136072832896038   recall 0.5190248119984573
deviation 2/5   iterations 630/2000   F1 0.5151981693599187   accuracy 0.6774193548387096   precision 0.5150374430960001   recall 0.5333922712176793
deviation 2/5   iterations 640/2000   F1 0.5380774252398374   accuracy 0.655483870967742   precision 0.537053308429174   recall 0.5532195023855772
deviation 2/5   iterations 650/2000   F1 0.5198683628201769   accuracy 0.6567741935483871   precision 0.5161940806988691   recall 0.527166159509608
deviation 2/5   iterations 660/2000   F1 0.5004154964854401   accuracy 0.6374193548387097   precision 0.49987707076368393   recall 0.5122716627404742
deviation 2/5   iterations 670/2000   F1 0.509956248356033   accuracy 0.6283870967741936   precision 0.5137603277830851   recall 0.5344695811303213
deviation 2/5   iterations 680/2000   F1 0.5275161337797541   accuracy 0.6619354838709678   precision 0.5242254356337924   recall 0.5428598847520559
deviation 2/5   iterations 690/2000   F1 0.515877790825093   accuracy 0.6193548387096774   precision 0.5221483598593245   recall 0.5354607422475492
deviation 2/5   iterations 700/2000   F1 0.5394048261638559   accuracy 0.6735483870967742   precision 0.5351472721093242   recall 0.5509432270438822
deviation 2/5   iterations 710/2000   F1 0.5235164713306174   accuracy 0.655483870967742   precision 0.5205939668378842   recall 0.537733499642233
deviation 2/5   iterations 720/2000   F1 0.5103226475775496   accuracy 0.6129032258064516   precision 0.5139703538544119   recall 0.5377475714302778
deviation 2/5   iterations 730/2000   F1 0.5282738095238094   accuracy 0.6593548387096774   precision 0.5257395141116071   recall 0.5374006854924284
deviation 2/5   iterations 740/2000   F1 0.522657383399469   accuracy 0.6387096774193548   precision 0.5220752836009884   recall 0.5387149250456392
deviation 2/5   iterations 750/2000   F1 0.5203310291962597   accuracy 0.6529032258064517   precision 0.5236562596060628   recall 0.540553584141684
deviation 2/5   iterations 760/2000   F1 0.5316611825086401   accuracy 0.6477419354838709   precision 0.5309402397563133   recall 0.5478862129038623
deviation 2/5   iterations 770/2000   F1 0.5197273481737041   accuracy 0.6735483870967742   precision 0.5254626909038674   recall 0.5357750667223647
deviation 2/5   iterations 780/2000   F1 0.5190240406213561   accuracy 0.6477419354838709   precision 0.517734893693973   recall 0.5311130506180214
deviation 2/5   iterations 790/2000   F1 0.5070993914807302   accuracy 0.6296774193548387   precision 0.5061621182755204   recall 0.5247683104642235
deviation 2/5   iterations 800/2000   F1 0.513590719851973   accuracy 0.6464516129032258   precision 0.5105729215149654   recall 0.5242318644513745
deviation 2/5   iterations 810/2000   F1 0.5179898530275827   accuracy 0.6632258064516129   precision 0.5159147869674185   recall 0.5312357696998079
deviation 2/5   iterations 820/2000   F1 0.5136524705126595   accuracy 0.6632258064516129   precision 0.5128131063179661   recall 0.5251097149497531
deviation 2/5   iterations 830/2000   F1 0.5114150817961846   accuracy 0.6141935483870967   precision 0.5133784008832581   recall 0.5342359239986001
deviation 2/5   iterations 840/2000   F1 0.5059641454617471   accuracy 0.5974193548387097   precision 0.5186760333495477   recall 0.5326827094867904
deviation 2/5   iterations 850/2000   F1 0.511171145022829   accuracy 0.6825806451612904   precision 0.5140280765568189   recall 0.5179710641495183
deviation 2/5   iterations 860/2000   F1 0.5245327639252423   accuracy 0.6929032258064516   precision 0.5323566923889491   recall 0.5313617612904419
deviation 2/5   iterations 870/2000   F1 0.5209859319092934   accuracy 0.6490322580645161   precision 0.5168141917276009   recall 0.5318046135502482
deviation 2/5   iterations 880/2000   F1 0.5296266301515722   accuracy 0.64   precision 0.5273872148161113   recall 0.5522703930070413
deviation 2/5   iterations 890/2000   F1 0.5147559832818797   accuracy 0.6438709677419355   precision 0.5134191557036117   recall 0.5297772943191373
deviation 2/5   iterations 900/2000   F1 0.5415389939149635   accuracy 0.6696774193548387   precision 0.5377628378183444   recall 0.5583953023789995
deviation 2/5   iterations 910/2000   F1 0.5095917000341462   accuracy 0.6619354838709678   precision 0.5068546012839491   recall 0.515821025836621
deviation 2/5   iterations 920/2000   F1 0.5231018039958969   accuracy 0.6580645161290323   precision 0.5192185007974482   recall 0.5305194993257814
deviation 2/5   iterations 930/2000   F1 0.4950924600141032   accuracy 0.6206451612903225   precision 0.4942079420534216   recall 0.5052677574920409
deviation 2/5   iterations 940/2000   F1 0.5065307045818933   accuracy 0.64   precision 0.5044553710013641   recall 0.5172462034397668
deviation 2/5   iterations 950/2000   F1 0.5114886278896346   accuracy 0.6580645161290323   precision 0.5114961079840209   recall 0.5266738105534811
deviation 2/5   iterations 960/2000   F1 0.5051646496657577   accuracy 0.6296774193548387   precision 0.5036365413974139   recall 0.5229726030468039
deviation 2/5   iterations 970/2000   F1 0.5225894246689257   accuracy 0.6516129032258065   precision 0.5205915028423701   recall 0.5339902403968636
deviation 2/5   iterations 980/2000   F1 0.5086538592265334   accuracy 0.6477419354838709   precision 0.508885380894354   recall 0.5221345135309242
deviation 2/5   iterations 990/2000   F1 0.49513591749098995   accuracy 0.6258064516129033   precision 0.49738856330331965   recall 0.5129761520826491
deviation 2/5   iterations 1000/2000   F1 0.4936198437652654   accuracy 0.6387096774193548   precision 0.492466387133605   recall 0.5084421728869697
deviation 2/5   iterations 1010/2000   F1 0.47522265590130397   accuracy 0.5496774193548387   precision 0.5066048947993139   recall 0.5054898790300743
deviation 2/5   iterations 1020/2000   F1 0.48613252778844923   accuracy 0.5767741935483871   precision 0.5012372666784431   recall 0.5124484600309677
deviation 2/5   iterations 1030/2000   F1 0.4891698858659923   accuracy 0.6206451612903225   precision 0.4896541096872223   recall 0.5066820540032683
deviation 2/5   iterations 1040/2000   F1 0.5128533604077082   accuracy 0.6516129032258065   precision 0.5106614998887907   recall 0.5192034909815383
deviation 2/5   iterations 1050/2000   F1 0.524744361689986   accuracy 0.6593548387096774   precision 0.5228730031593467   recall 0.5312110622580082
deviation 2/5   iterations 1060/2000   F1 0.5188558314645375   accuracy 0.6425806451612903   precision 0.5183677322462991   recall 0.5311357127417913
deviation 2/5   iterations 1070/2000   F1 0.503057357956774   accuracy 0.6567741935483871   precision 0.503645790900944   recall 0.5171944159872529
deviation 2/5   iterations 1080/2000   F1 0.5115700249474215   accuracy 0.6632258064516129   precision 0.5151884948123518   recall 0.532777203179766
deviation 2/5   iterations 1090/2000   F1 0.5088644884977614   accuracy 0.6606451612903226   precision 0.5064985342507098   recall 0.5185301722861371
deviation 2/5   iterations 1100/2000   F1 0.5174193335599211   accuracy 0.6490322580645161   precision 0.5201626168654386   recall 0.5367467564119494
deviation 2/5   iterations 1110/2000   F1 0.5012526637229179   accuracy 0.6387096774193548   precision 0.5082579376784963   recall 0.5240949917688221
deviation 2/5   iterations 1120/2000   F1 0.5198131460426542   accuracy 0.6619354838709678   precision 0.5170448025418573   recall 0.5289392048032576
deviation 2/5   iterations 1130/2000   F1 0.5019025508239682   accuracy 0.6516129032258065   precision 0.5070145903479237   recall 0.5222227894570891
deviation 2/5   iterations 1140/2000   F1 0.5158391405342625   accuracy 0.6567741935483871   precision 0.5126314293833475   recall 0.5287075929895662
deviation 2/5   iterations 1150/2000   F1 0.5195652580199144   accuracy 0.6335483870967742   precision 0.5180584467003538   recall 0.5384197447475824
deviation 2/5   iterations 1160/2000   F1 0.5188876146134667   accuracy 0.6580645161290323   precision 0.5158709497809482   recall 0.5286602234239965
deviation 2/5   iterations 1170/2000   F1 0.5178846180022595   accuracy 0.6748387096774193   precision 0.5149649486033926   recall 0.5270034340071592
deviation 2/5   iterations 1180/2000   F1 0.5405573366052802   accuracy 0.6761290322580645   precision 0.5372794767956058   recall 0.5497281445087547
deviation 2/5   iterations 1190/2000   F1 0.5234066743500706   accuracy 0.6696774193548387   precision 0.5197308854585972   recall 0.5338910833787803
deviation 2/5   iterations 1200/2000   F1 0.4955967280812239   accuracy 0.6374193548387097   precision 0.5016113130727673   recall 0.5155452351534864
deviation 2/5   iterations 1210/2000   F1 0.49615643814509985   accuracy 0.6412903225806451   precision 0.5064952797265145   recall 0.5184224249323286
deviation 2/5   iterations 1220/2000   F1 0.4983367149958524   accuracy 0.6348387096774194   precision 0.5130451817420884   recall 0.5245549428873574
deviation 2/5   iterations 1230/2000   F1 0.5038911243450114   accuracy 0.632258064516129   precision 0.5091371960328424   recall 0.525960730875581
deviation 2/5   iterations 1240/2000   F1 0.5081281390931444   accuracy 0.6541935483870968   precision 0.5049533808157706   recall 0.5211348438906923
deviation 2/5   iterations 1250/2000   F1 0.5013856045884525   accuracy 0.6296774193548387   precision 0.5066893239815492   recall 0.5228454660780733
deviation 2/5   iterations 1260/2000   F1 0.5089279455973043   accuracy 0.6606451612903226   precision 0.509357971480077   recall 0.5236630206009341
deviation 2/5   iterations 1270/2000   F1 0.5187847120303261   accuracy 0.6838709677419355   precision 0.5391023410456132   recall 0.5325197385461781
deviation 2/5   iterations 1280/2000   F1 0.5099472261832488   accuracy 0.6619354838709678   precision 0.5122386551498728   recall 0.525220652999688
deviation 2/5   iterations 1290/2000   F1 0.5120646236110712   accuracy 0.6567741935483871   precision 0.5138281351873585   recall 0.5294465254873625
deviation 2/5   iterations 1300/2000   F1 0.5305879735810618   accuracy 0.6748387096774193   precision 0.5274248664379784   recall 0.5351159016277296
deviation 2/5   iterations 1310/2000   F1 0.5129009574854811   accuracy 0.6425806451612903   precision 0.5094504956284059   recall 0.5222843126234248
deviation 2/5   iterations 1320/2000   F1 0.5198785918901389   accuracy 0.6838709677419355   precision 0.5255899816945847   recall 0.5248522503161652
deviation 2/5   iterations 1330/2000   F1 0.49493207276304535   accuracy 0.6645161290322581   precision 0.4955396549948099   recall 0.5116263239957203
deviation 2/5   iterations 1340/2000   F1 0.4981060493849104   accuracy 0.6374193548387097   precision 0.49759516768003326   recall 0.5122080942561088
deviation 2/5   iterations 1350/2000   F1 0.517193677263781   accuracy 0.6593548387096774   precision 0.5167691466830635   recall 0.5292246493874927
deviation 2/5   iterations 1360/2000   F1 0.5028458781670622   accuracy 0.6529032258064517   precision 0.499942223856295   recall 0.5075158074449249
deviation 2/5   iterations 1370/2000   F1 0.5212125730766549   accuracy 0.6683870967741935   precision 0.5202507951146997   recall 0.5254684637321753
deviation 2/5   iterations 1380/2000   F1 0.512153313328823   accuracy 0.6503225806451612   precision 0.5113192818110851   recall 0.521849068946689
deviation 2/5   iterations 1390/2000   F1 0.5157455311926856   accuracy 0.6529032258064517   precision 0.5131881081226789   recall 0.5292946810768321
deviation 2/5   iterations 1400/2000   F1 0.5030853763838475   accuracy 0.6529032258064517   precision 0.5029097616513668   recall 0.5169154346079918
deviation 2/5   iterations 1410/2000   F1 0.5281343103631978   accuracy 0.6696774193548387   precision 0.5255520740782749   recall 0.5323496498988223
deviation 2/5   iterations 1420/2000   F1 0.5182792715252714   accuracy 0.6774193548387096   precision 0.5173195611707885   recall 0.5197894336907076
deviation 2/5   iterations 1430/2000   F1 0.4962306423763585   accuracy 0.6477419354838709   precision 0.4940509375486954   recall 0.5029538482985981
deviation 2/5   iterations 1440/2000   F1 0.5013076354539768   accuracy 0.6503225806451612   precision 0.4980758250542423   recall 0.513800169810484
deviation 2/5   iterations 1450/2000   F1 0.49136229674926707   accuracy 0.6270967741935484   precision 0.4919924313358302   recall 0.50921023071351
deviation 2/5   iterations 1460/2000   F1 0.4889316763653315   accuracy 0.6451612903225806   precision 0.4934554831133983   recall 0.5108432126284806
deviation 2/5   iterations 1470/2000   F1 0.516841031820169   accuracy 0.6670967741935484   precision 0.5214219398474359   recall 0.5340493909942847
deviation 2/5   iterations 1480/2000   F1 0.4919611661876431   accuracy 0.6748387096774193   precision 0.49424297554073177   recall 0.5109692042191147
deviation 2/5   iterations 1490/2000   F1 0.5131922451071387   accuracy 0.655483870967742   precision 0.5101532964584435   recall 0.5202849733429611
deviation 2/5   iterations 1500/2000   F1 0.5168693646152855   accuracy 0.6464516129032258   precision 0.512784601288301   recall 0.5243590014201053
deviation 2/5   iterations 1510/2000   F1 0.5206590545289645   accuracy 0.6606451612903226   precision 0.5169536248483617   recall 0.5291137113375578
deviation 2/5   iterations 1520/2000   F1 0.5015292469067724   accuracy 0.6425806451612903   precision 0.4989411085353239   recall 0.5064407882884763
deviation 2/5   iterations 1530/2000   F1 0.4876947694698557   accuracy 0.6464516129032258   precision 0.48642384052220117   recall 0.49434052319889704
deviation 2/5   iterations 1540/2000   F1 0.5096057934232031   accuracy 0.6761290322580645   precision 0.5073811600002259   recall 0.5205757357540736
deviation 2/5   iterations 1550/2000   F1 0.49521153647008714   accuracy 0.6374193548387097   precision 0.49476417477611107   recall 0.5044134690573653
deviation 2/5   iterations 1560/2000   F1 0.5199279045577851   accuracy 0.6567741935483871   precision 0.5165618079596995   recall 0.5280322289761351
deviation 2/5   iterations 1570/2000   F1 0.5156271744981421   accuracy 0.6580645161290323   precision 0.5157477230354542   recall 0.5259348780556846
deviation 2/5   iterations 1580/2000   F1 0.5048433171812096   accuracy 0.6361290322580645   precision 0.506970776394874   recall 0.5203043629578833
deviation 2/5   iterations 1590/2000   F1 0.5114266985535643   accuracy 0.6425806451612903   precision 0.5093460299077246   recall 0.5222207441390593
deviation 2/5   iterations 1600/2000   F1 0.5122672774010772   accuracy 0.6167741935483871   precision 0.5168572517629121   recall 0.5333386838852993
deviation 2/5   iterations 1610/2000   F1 0.5090876452385987   accuracy 0.6529032258064517   precision 0.5138715802282645   recall 0.532504685005479
deviation 2/5   iterations 1620/2000   F1 0.5053266950386819   accuracy 0.6670967741935484   precision 0.5081045751633987   recall 0.5209312120276481
deviation 2/5   iterations 1630/2000   F1 0.49427765365861615   accuracy 0.6503225806451612   precision 0.4993898403243154   recall 0.5119408939086992
deviation 2/5   iterations 1640/2000   F1 0.5068572490387327   accuracy 0.6503225806451612   precision 0.5078672897859188   recall 0.5191237235783771
deviation 2/5   iterations 1650/2000   F1 0.5200471109131283   accuracy 0.6541935483870968   precision 0.5213367942333689   recall 0.5386469386743296
deviation 2/5   iterations 1660/2000   F1 0.5148488857451818   accuracy 0.6670967741935484   precision 0.5151691074776829   recall 0.5254522648133795
deviation 2/5   iterations 1670/2000   F1 0.48686777493558625   accuracy 0.6335483870967742   precision 0.4952981587892074   recall 0.511611270455021
deviation 2/5   iterations 1680/2000   F1 0.5147376626491575   accuracy 0.6464516129032258   precision 0.5163872009531173   recall 0.5327654221479144
deviation 2/5   iterations 1690/2000   F1 0.5042157620970377   accuracy 0.6154838709677419   precision 0.5045581459337863   recall 0.5202043059998668
deviation 2/5   iterations 1700/2000   F1 0.5102665097362871   accuracy 0.6438709677419355   precision 0.5080125379567049   recall 0.5219191006360284
deviation 2/5   iterations 1710/2000   F1 0.5269779088174585   accuracy 0.68   precision 0.5281831058824312   recall 0.5298968227047972
deviation 2/5   iterations 1720/2000   F1 0.5207726654103358   accuracy 0.6567741935483871   precision 0.5179318097922749   recall 0.5280322289761351
deviation 2/5   iterations 1730/2000   F1 0.5169722742800394   accuracy 0.6645161290322581   precision 0.5188039335486311   recall 0.5241327074332912
deviation 2/5   iterations 1740/2000   F1 0.5186933399245728   accuracy 0.6593548387096774   precision 0.5167847397400834   recall 0.5224232306240069
deviation 2/5   iterations 1750/2000   F1 0.538213369224083   accuracy 0.6683870967741935   precision 0.5367783329982865   recall 0.545642335399759
deviation 2/5   iterations 1760/2000   F1 0.5243306521842385   accuracy 0.6645161290322581   precision 0.5258220313489289   recall 0.5389194568486165
deviation 2/5   iterations 1770/2000   F1 0.5040081165165834   accuracy 0.6567741935483871   precision 0.5062792082383331   recall 0.5197926243868342
deviation 2/5   iterations 1780/2000   F1 0.4973757221183557   accuracy 0.655483870967742   precision 0.5061588882260261   recall 0.5061100194567013
deviation 2/5   iterations 1790/2000   F1 0.5102065514179431   accuracy 0.6361290322580645   precision 0.5070936362146873   recall 0.5214247063618718
deviation 2/5   iterations 1800/2000   F1 0.4928124773397145   accuracy 0.6335483870967742   precision 0.49119747833369204   recall 0.4989380708789419
deviation 2/5   iterations 1810/2000   F1 0.5131282596342538   accuracy 0.6619354838709678   precision 0.5115047524287547   recall 0.5159481628053517
deviation 2/5   iterations 1820/2000   F1 0.5009382462245627   accuracy 0.6748387096774193   precision 0.5071952812428655   recall 0.5000281435760897
deviation 2/5   iterations 1830/2000   F1 0.5126281135478252   accuracy 0.6696774193548387   precision 0.5143489954121183   recall 0.5114368457334421
deviation 2/5   iterations 1840/2000   F1 0.5236752230101468   accuracy 0.6490322580645161   precision 0.520510259982331   recall 0.5319953190033443
deviation 2/5   iterations 1850/2000   F1 0.511655040058069   accuracy 0.6709677419354839   precision 0.516402677775168   recall 0.523069469308694
deviation 2/5   iterations 1860/2000   F1 0.5096856133526065   accuracy 0.6516129032258065   precision 0.5113560490071936   recall 0.5172806465953882
deviation 2/5   iterations 1870/2000   F1 0.5175412605588045   accuracy 0.6645161290322581   precision 0.5281636462627363   recall 0.5292655557480882
deviation 2/5   iterations 1880/2000   F1 0.5319966887982878   accuracy 0.6864516129032258   precision 0.537029419829984   recall 0.5358892772811473
deviation 2/5   iterations 1890/2000   F1 0.5023292751388454   accuracy 0.6425806451612903   precision 0.5015028277462323   recall 0.508109358737165
deviation 2/5   iterations 1900/2000   F1 0.5201841747934811   accuracy 0.6787096774193548   precision 0.5204620052748634   recall 0.5290145543194744
deviation 2/5   iterations 1910/2000   F1 0.5043003248800998   accuracy 0.672258064516129   precision 0.5073446110031475   recall 0.5184374784730278
deviation 2/5   iterations 1920/2000   F1 0.5028670544888045   accuracy 0.6606451612903226   precision 0.5016295485821761   recall 0.5072712692212852
deviation 2/5   iterations 1930/2000   F1 0.5311453388936375   accuracy 0.6567741935483871   precision 0.5269985539585563   recall 0.5397361114315443
deviation 2/5   iterations 1940/2000   F1 0.5003842349063622   accuracy 0.6529032258064517   precision 0.5040787290787291   recall 0.5142536577240454
deviation 2/5   iterations 1950/2000   F1 0.5388356336632198   accuracy 0.6761290322580645   precision 0.5421851560913178   recall 0.555599925321348
deviation 2/5   iterations 1960/2000   F1 0.524183685519055   accuracy 0.6632258064516129   precision 0.5217759789677597   recall 0.532292544619431
deviation 2/5   iterations 1970/2000   F1 0.5124224912276739   accuracy 0.6503225806451612   precision 0.510153182134434   recall 0.521849068946689
deviation 2/5   iterations 1980/2000   F1 0.4973372564798814   accuracy 0.6890322580645162   precision 0.5119105951819706   recall 0.5116478407413935
deviation 2/5   iterations 1990/2000   F1 0.5243077276698016   accuracy 0.6593548387096774   precision 0.523392997861083   recall 0.5354142726219128
deviation 2/5   iterations 2000/2000   F1 0.5102265160036784   accuracy 0.6296774193548387   precision 0.5108939150232209   recall 0.530028295747751

deviation 3/5   iterations 10/2000   F1 0.3435258483805444   accuracy 0.4909560723514212   precision 0.36960209303662817   recall 0.35441595077227395
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deviation 3/5   iterations 20/2000   F1 0.4133216286608617   accuracy 0.5012919896640827   precision 0.46373742653560096   recall 0.4450511035747047
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deviation 3/5   iterations 30/2000   F1 0.4718576085217541   accuracy 0.5878552971576227   precision 0.49651551823537643   recall 0.48402204222623
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deviation 3/5   iterations 40/2000   F1 0.48592574147853035   accuracy 0.6524547803617571   precision 0.4967701652339051   recall 0.4805425687952602
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deviation 3/5   iterations 50/2000   F1 0.4954047066994433   accuracy 0.627906976744186   precision 0.5124545027545068   recall 0.5063696954150048
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deviation 3/5   iterations 60/2000   F1 0.492101691950489   accuracy 0.603359173126615   precision 0.5205103217088626   recall 0.5099022117240501
deviation 3/5   iterations 70/2000   F1 0.49783510636133715   accuracy 0.6046511627906976   precision 0.5303109436762418   recall 0.52656587372073
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deviation 3/5   iterations 80/2000   F1 0.47198649362062844   accuracy 0.5232558139534884   precision 0.5386258476891791   recall 0.5357350771404953
deviation 3/5   iterations 90/2000   F1 0.4988545246277205   accuracy 0.5930232558139535   precision 0.5229002921923486   recall 0.5280426710688156
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deviation 3/5   iterations 100/2000   F1 0.45841535176514453   accuracy 0.5439276485788114   precision 0.510798053148635   recall 0.5065748573970507
deviation 3/5   iterations 110/2000   F1 0.4471697543888738   accuracy 0.5155038759689923   precision 0.5195906434535122   recall 0.5019080679201346
deviation 3/5   iterations 120/2000   F1 0.46245332121244526   accuracy 0.5297157622739018   precision 0.5351576643735644   recall 0.517380642661608
deviation 3/5   iterations 130/2000   F1 0.5096398092293754   accuracy 0.6356589147286822   precision 0.5348412262714438   recall 0.5290922559939477
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deviation 3/5   iterations 140/2000   F1 0.512986612224859   accuracy 0.6266149870801033   precision 0.5114848453749316   recall 0.5288859872439667
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deviation 3/5   iterations 150/2000   F1 0.5195446735395189   accuracy 0.6111111111111112   precision 0.5421347784396778   recall 0.5553088419526371
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deviation 3/5   iterations 160/2000   F1 0.5106908788252751   accuracy 0.6111111111111112   precision 0.5381195020574205   recall 0.5395418259490187
deviation 3/5   iterations 170/2000   F1 0.49808389900051164   accuracy 0.6162790697674418   precision 0.5003305674924939   recall 0.5134916241032412
deviation 3/5   iterations 180/2000   F1 0.4853926138230155   accuracy 0.5788113695090439   precision 0.514701091633827   recall 0.5098404376767088
deviation 3/5   iterations 190/2000   F1 0.4765551719396945   accuracy 0.5478036175710594   precision 0.5190362641568153   recall 0.5232847167071702
deviation 3/5   iterations 200/2000   F1 0.500677577384295   accuracy 0.5943152454780362   precision 0.510888538047055   recall 0.5273279859225677
deviation 3/5   iterations 210/2000   F1 0.4897503929761995   accuracy 0.5723514211886305   precision 0.5164329834120326   recall 0.5266013722774636
deviation 3/5   iterations 220/2000   F1 0.4818811372798028   accuracy 0.5658914728682171   precision 0.5320581131003125   recall 0.5296639631195411
deviation 3/5   iterations 230/2000   F1 0.5002019682726204   accuracy 0.6046511627906976   precision 0.5219828721471003   recall 0.5210386746527762
deviation 3/5   iterations 240/2000   F1 0.4961812515673967   accuracy 0.6007751937984496   precision 0.505783723189264   recall 0.5132967099724465
deviation 3/5   iterations 250/2000   F1 0.49177180398276693   accuracy 0.5891472868217055   precision 0.5108799585052882   recall 0.5098572441527606
deviation 3/5   iterations 260/2000   F1 0.5077220968971362   accuracy 0.6136950904392765   precision 0.5174441483585875   recall 0.5273474158485397
deviation 3/5   iterations 270/2000   F1 0.4338188128996008   accuracy 0.48578811369509045   precision 0.5204090575197214   recall 0.5027364632238641
deviation 3/5   iterations 280/2000   F1 0.5217608245926233   accuracy 0.6382428940568475   precision 0.5199358468382339   recall 0.5367164933591054
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deviation 3/5   iterations 290/2000   F1 0.45449344381728723   accuracy 0.5348837209302325   precision 0.5404507799023849   recall 0.5044535111966794
deviation 3/5   iterations 300/2000   F1 0.5119026475520928   accuracy 0.6266149870801033   precision 0.5188772430087786   recall 0.5272924873658341
deviation 3/5   iterations 310/2000   F1 0.49095307564313534   accuracy 0.6007751937984496   precision 0.5220777285341965   recall 0.5103133555162421
deviation 3/5   iterations 320/2000   F1 0.503393573492549   accuracy 0.5981912144702842   precision 0.5161651279470769   recall 0.5277456063567504
deviation 3/5   iterations 330/2000   F1 0.501528894748407   accuracy 0.6111111111111112   precision 0.5124942831709749   recall 0.5181797291107596
deviation 3/5   iterations 340/2000   F1 0.4999604164192693   accuracy 0.5930232558139535   precision 0.5186515635147647   recall 0.5252451306514953
deviation 3/5   iterations 350/2000   F1 0.502222439263035   accuracy 0.6136950904392765   precision 0.5305692881835014   recall 0.522499034447455
deviation 3/5   iterations 360/2000   F1 0.5161229085538087   accuracy 0.6356589147286822   precision 0.5334757551669317   recall 0.5324150192835867
deviation 3/5   iterations 370/2000   F1 0.489314440397343   accuracy 0.6149870801033591   precision 0.5173163881404416   recall 0.5012368336631912
deviation 3/5   iterations 380/2000   F1 0.49668966246687846   accuracy 0.6459948320413437   precision 0.5023813288756362   recall 0.4963709899235748
deviation 3/5   iterations 390/2000   F1 0.45318076764298443   accuracy 0.5452196382428941   precision 0.5183926495889489   recall 0.5065389899176721
deviation 3/5   iterations 400/2000   F1 0.4467368439362532   accuracy 0.5529715762273901   precision 0.5049539529394215   recall 0.4771621715901853
deviation 3/5   iterations 410/2000   F1 0.47559707015797664   accuracy 0.5478036175710594   precision 0.530969350628344   recall 0.5340675877763302
deviation 3/5   iterations 420/2000   F1 0.5156295692654586   accuracy 0.6356589147286822   precision 0.5150604794516552   recall 0.5286170836271392
deviation 3/5   iterations 430/2000   F1 0.5205561406747088   accuracy 0.6266149870801033   precision 0.5247215196990116   recall 0.5404656082521929
deviation 3/5   iterations 440/2000   F1 0.4716600713796231   accuracy 0.5452196382428941   precision 0.5148080080926599   recall 0.5113194895520697
deviation 3/5   iterations 450/2000   F1 0.5144720483075019   accuracy 0.6149870801033591   precision 0.5228060161820075   recall 0.5376871288381995
deviation 3/5   iterations 460/2000   F1 0.4805934899348967   accuracy 0.5542635658914729   precision 0.5091091385492867   recall 0.5184928624535865
deviation 3/5   iterations 470/2000   F1 0.5194741704777863   accuracy 0.6421188630490956   precision 0.5188410884582118   recall 0.5293524284415092
deviation 3/5   iterations 480/2000   F1 0.5122954849971113   accuracy 0.6059431524547804   precision 0.5210128156750939   recall 0.5436189950563546
deviation 3/5   iterations 490/2000   F1 0.5070487770379507   accuracy 0.6356589147286822   precision 0.5050432676642355   recall 0.520224462375178
deviation 3/5   iterations 500/2000   F1 0.524305977632565   accuracy 0.6343669250645995   precision 0.5207839200101924   recall 0.5416903084595028
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deviation 3/5   iterations 510/2000   F1 0.49860954785522504   accuracy 0.5917312661498708   precision 0.5378293570949507   recall 0.5381325414449749
deviation 3/5   iterations 520/2000   F1 0.4930391172970722   accuracy 0.5671834625322998   precision 0.5158752215931836   recall 0.5342728317411861
deviation 3/5   iterations 530/2000   F1 0.5028467050030393   accuracy 0.5968992248062015   precision 0.5147623328234067   recall 0.5270526056637497
deviation 3/5   iterations 540/2000   F1 0.4569997568360773   accuracy 0.520671834625323   precision 0.519289142216974   recall 0.5044764253920766
deviation 3/5   iterations 550/2000   F1 0.5116068356803055   accuracy 0.6304909560723514   precision 0.509966666946072   recall 0.5263703037274551
deviation 3/5   iterations 560/2000   F1 0.5067046818584425   accuracy 0.603359173126615   precision 0.531291138897124   recall 0.5344513083185743
deviation 3/5   iterations 570/2000   F1 0.5246083753410875   accuracy 0.6382428940568475   precision 0.5317114244617236   recall 0.5406501925489268
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deviation 3/5   iterations 580/2000   F1 0.48244842275192906   accuracy 0.5788113695090439   precision 0.5022875816993464   recall 0.5071786607927623
deviation 3/5   iterations 590/2000   F1 0.5176574320553786   accuracy 0.6343669250645995   precision 0.5207162364150738   recall 0.5313826097571513
deviation 3/5   iterations 600/2000   F1 0.5258646676960791   accuracy 0.6537467700258398   precision 0.5231907168834081   recall 0.536182539317521
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deviation 3/5   iterations 610/2000   F1 0.5152286193028048   accuracy 0.6304909560723514   precision 0.525847442105328   recall 0.5267775943275765
deviation 3/5   iterations 620/2000   F1 0.5116314671595771   accuracy 0.6007751937984496   precision 0.5250237658372724   recall 0.540711228750978
deviation 3/5   iterations 630/2000   F1 0.5195283466978428   accuracy 0.6253229974160207   precision 0.5189573721234906   recall 0.5402978304315108
deviation 3/5   iterations 640/2000   F1 0.5213101765183163   accuracy 0.6382428940568475   precision 0.5194860891126201   recall 0.5358518616533522
deviation 3/5   iterations 650/2000   F1 0.5110014423220638   accuracy 0.6162790697674418   precision 0.516989354818428   recall 0.5303269171126737
deviation 3/5   iterations 660/2000   F1 0.5089257898639105   accuracy 0.6188630490956072   precision 0.5093458951959363   recall 0.5280507463756015
deviation 3/5   iterations 670/2000   F1 0.5078709377271361   accuracy 0.6214470284237726   precision 0.5125312531253124   recall 0.522655457648951
deviation 3/5   iterations 680/2000   F1 0.5110788591463362   accuracy 0.6563307493540051   precision 0.5089579865258808   recall 0.5190039842825835
deviation 3/5   iterations 690/2000   F1 0.4786113169832991   accuracy 0.5503875968992248   precision 0.5074586444151662   recall 0.5154813469021442
deviation 3/5   iterations 700/2000   F1 0.5095287540453088   accuracy 0.603359173126615   precision 0.5147820915497684   recall 0.5357053993632723
deviation 3/5   iterations 710/2000   F1 0.5269982722152453   accuracy 0.6550387596899225   precision 0.5226741512892984   recall 0.5351462765990153
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deviation 3/5   iterations 720/2000   F1 0.521079726046906   accuracy 0.648578811369509   precision 0.5250786927345745   recall 0.5275617599053065
deviation 3/5   iterations 730/2000   F1 0.5154943475107362   accuracy 0.6356589147286822   precision 0.5139160620143407   recall 0.5258874249765058
deviation 3/5   iterations 740/2000   F1 0.5164382204394465   accuracy 0.6472868217054264   precision 0.512488715253688   recall 0.5273261003179376
deviation 3/5   iterations 750/2000   F1 0.5075140463729265   accuracy 0.6149870801033591   precision 0.5157277039717111   recall 0.5235814944794005
deviation 3/5   iterations 760/2000   F1 0.49904325723139414   accuracy 0.5904392764857881   precision 0.5084546068732858   recall 0.5244522339044994
deviation 3/5   iterations 770/2000   F1 0.5059867631597851   accuracy 0.603359173126615   precision 0.5175303856184182   recall 0.5289241092506205
deviation 3/5   iterations 780/2000   F1 0.525594786829314   accuracy 0.6744186046511628   precision 0.5287052841218839   recall 0.5269767305730869
deviation 3/5   iterations 790/2000   F1 0.49577663872496996   accuracy 0.5956072351421189   precision 0.5188265201329852   recall 0.5188494466857179
deviation 3/5   iterations 800/2000   F1 0.526820652766751   accuracy 0.6640826873385013   precision 0.522640259968021   recall 0.5346058459154402
deviation 3/5   iterations 810/2000   F1 0.501398164506193   accuracy 0.6434108527131783   precision 0.4991437874332712   recall 0.512870727291643
deviation 3/5   iterations 820/2000   F1 0.5246525522387592   accuracy 0.624031007751938   precision 0.5379281204206211   recall 0.5469970557513442
deviation 3/5   iterations 830/2000   F1 0.514304027518404   accuracy 0.6602067183462532   precision 0.5140322210755647   recall 0.5168955913661936
deviation 3/5   iterations 840/2000   F1 0.5027541179234646   accuracy 0.6537467700258398   precision 0.5002430851892384   recall 0.5071745206608568
deviation 3/5   iterations 850/2000   F1 0.515922729160987   accuracy 0.6537467700258398   precision 0.5188404454122844   recall 0.5189577869691439
deviation 3/5   iterations 860/2000   F1 0.5268375905699849   accuracy 0.6834625322997416   precision 0.5270622985507681   recall 0.5266399451895726
deviation 3/5   iterations 870/2000   F1 0.5338413742561696   accuracy 0.6795865633074936   precision 0.5322767987334917   recall 0.5393954456417487
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deviation 3/5   iterations 880/2000   F1 0.5114751939187822   accuracy 0.6201550387596899   precision 0.518596640701071   recall 0.5264213790180903
deviation 3/5   iterations 890/2000   F1 0.5100917649655861   accuracy 0.6266149870801033   precision 0.5089729633069561   recall 0.5244949469485137
deviation 3/5   iterations 900/2000   F1 0.5040907193802657   accuracy 0.6227390180878553   precision 0.5022691032019391   recall 0.5178891410406848
deviation 3/5   iterations 910/2000   F1 0.5036444367169676   accuracy 0.6175710594315246   precision 0.5109842646051727   recall 0.5190508374585033
deviation 3/5   iterations 920/2000   F1 0.5018194731707144   accuracy 0.6085271317829457   precision 0.5077020943433157   recall 0.5183193458362038
deviation 3/5   iterations 930/2000   F1 0.5197788676124823   accuracy 0.6369509043927648   precision 0.5180123141817191   recall 0.5343621110212853
deviation 3/5   iterations 940/2000   F1 0.5131714757621809   accuracy 0.6382428940568475   precision 0.5127352142952885   recall 0.5269340175290725
deviation 3/5   iterations 950/2000   F1 0.5118003780427959   accuracy 0.6253229974160207   precision 0.5090363959721235   recall 0.5271925913118389
deviation 3/5   iterations 960/2000   F1 0.4996196487512812   accuracy 0.6201550387596899   precision 0.5006481875798492   recall 0.517096244293689
deviation 3/5   iterations 970/2000   F1 0.523121861708647   accuracy 0.6563307493540051   precision 0.5221111791841659   recall 0.5297189735850566
deviation 3/5   iterations 980/2000   F1 0.5253868755462974   accuracy 0.6459948320413437   precision 0.523566169954162   recall 0.538212720633163
deviation 3/5   iterations 990/2000   F1 0.5104452986700406   accuracy 0.6705426356589147   precision 0.5092158572776091   recall 0.5177770295479984
deviation 3/5   iterations 1000/2000   F1 0.5309692169987995   accuracy 0.6705426356589147   precision 0.5273205985285991   recall 0.5372740994413773
deviation 3/5   iterations 1010/2000   F1 0.5162480672417525   accuracy 0.6511627906976745   precision 0.5164732559690542   recall 0.5193689307613357
deviation 3/5   iterations 1020/2000   F1 0.5104877619406788   accuracy 0.6356589147286822   precision 0.5097487830575715   recall 0.5188346077971063
deviation 3/5   iterations 1030/2000   F1 0.5106276627361132   accuracy 0.6550387596899225   precision 0.5085720456765082   recall 0.5132589568884375
deviation 3/5   iterations 1040/2000   F1 0.5052611383444502   accuracy 0.6266149870801033   precision 0.5244222504051294   recall 0.5197144473141161
deviation 3/5   iterations 1050/2000   F1 0.4967512809578241   accuracy 0.627906976744186   precision 0.49844151239891143   recall 0.5015034827527435
deviation 3/5   iterations 1060/2000   F1 0.5202191006641048   accuracy 0.6563307493540051   precision 0.5161966168544104   recall 0.5278539466401764
deviation 3/5   iterations 1070/2000   F1 0.51092223890255   accuracy 0.6563307493540051   precision 0.5122938514658261   recall 0.5113580624641786
deviation 3/5   iterations 1080/2000   F1 0.5093208507842655   accuracy 0.6447028423772609   precision 0.5132445190354366   recall 0.5123096369399457
deviation 3/5   iterations 1090/2000   F1 0.5201044339165886   accuracy 0.665374677002584   precision 0.5227518455902413   recall 0.5207358711440103
deviation 3/5   iterations 1100/2000   F1 0.5077957099874711   accuracy 0.6356589147286822   precision 0.5205883202992433   recall 0.514715094568401
deviation 3/5   iterations 1110/2000   F1 0.5232621376992642   accuracy 0.648578811369509   precision 0.5193477046964086   recall 0.5334784183122051
deviation 3/5   iterations 1120/2000   F1 0.5188398640011543   accuracy 0.6408268733850129   precision 0.5251391208838018   recall 0.5278626778094423
deviation 3/5   iterations 1130/2000   F1 0.5054540427189602   accuracy 0.603359173126615   precision 0.516767499004634   recall 0.5280594775448674
deviation 3/5   iterations 1140/2000   F1 0.5093393636674458   accuracy 0.6356589147286822   precision 0.512889156683641   recall 0.5171053443855999
deviation 3/5   iterations 1150/2000   F1 0.49315057450942607   accuracy 0.6188630490956072   precision 0.49140692126803237   recall 0.5051630314258967
deviation 3/5   iterations 1160/2000   F1 0.49915141415654524   accuracy 0.6330749354005168   precision 0.5023546626168688   recall 0.5168376705109226
deviation 3/5   iterations 1170/2000   F1 0.5045442159760213   accuracy 0.6162790697674418   precision 0.5085206242263854   recall 0.5297838629791783
deviation 3/5   iterations 1180/2000   F1 0.517403386379378   accuracy 0.6472868217054264   precision 0.5136422065230561   recall 0.5282586137903776
deviation 3/5   iterations 1190/2000   F1 0.5047404492871072   accuracy 0.6524547803617571   precision 0.5039962993219032   recall 0.5058205335621637
deviation 3/5   iterations 1200/2000   F1 0.5124972932623949   accuracy 0.648578811369509   precision 0.5115354276104783   recall 0.5161179024304542
deviation 3/5   iterations 1210/2000   F1 0.5064714350419776   accuracy 0.6330749354005168   precision 0.5095760233918128   recall 0.514125843121466
deviation 3/5   iterations 1220/2000   F1 0.5033041250039919   accuracy 0.6330749354005168   precision 0.5049193876094143   recall 0.5087344075868859
deviation 3/5   iterations 1230/2000   F1 0.48887621102255246   accuracy 0.5968992248062015   precision 0.49151417595804925   recall 0.505097404186485
deviation 3/5   iterations 1240/2000   F1 0.5117353087694424   accuracy 0.6511627906976745   precision 0.5138441269040023   recall 0.5140453769934428
deviation 3/5   iterations 1250/2000   F1 0.5079485890388854   accuracy 0.6718346253229974   precision 0.5147362231182796   recall 0.5039070547765686
deviation 3/5   iterations 1260/2000   F1 0.5054462515214778   accuracy 0.661498708010336   precision 0.5055666034751303   recall 0.5120613929912404
deviation 3/5   iterations 1270/2000   F1 0.5201730397398411   accuracy 0.6808785529715762   precision 0.5234477418080651   recall 0.5191336400966118
deviation 3/5   iterations 1280/2000   F1 0.5071466054210573   accuracy 0.6498708010335917   precision 0.5087043733704776   recall 0.5180649941681529
deviation 3/5   iterations 1290/2000   F1 0.5021927512470094   accuracy 0.6266149870801033   precision 0.5026621611957377   recall 0.5153734575241732
deviation 3/5   iterations 1300/2000   F1 0.49498979406624294   accuracy 0.6201550387596899   precision 0.5071583907212758   recall 0.5211478757557073
deviation 3/5   iterations 1310/2000   F1 0.49136514397708425   accuracy 0.6330749354005168   precision 0.49931569421228766   recall 0.5080555899200166
deviation 3/5   iterations 1320/2000   F1 0.4841523125241865   accuracy 0.6459948320413437   precision 0.4838541981047407   recall 0.4974893174348989
deviation 3/5   iterations 1330/2000   F1 0.5136336905703103   accuracy 0.665374677002584   precision 0.5137479036850107   recall 0.5135472904312369
deviation 3/5   iterations 1340/2000   F1 0.5264947872720501   accuracy 0.6550387596899225   precision 0.5250984460346361   recall 0.5336206584875697
deviation 3/5   iterations 1350/2000   F1 0.5205431238950792   accuracy 0.6576227390180879   precision 0.5214749783661701   recall 0.5228339342263393
deviation 3/5   iterations 1360/2000   F1 0.5218310747722512   accuracy 0.6666666666666666   precision 0.5195592988588049   recall 0.5297357800611083
deviation 3/5   iterations 1370/2000   F1 0.5208854087813367   accuracy 0.6447028423772609   precision 0.5188948758097695   recall 0.5323998114723301
deviation 3/5   iterations 1380/2000   F1 0.5142035950515678   accuracy 0.6537467700258398   precision 0.5119329811570646   recall 0.5187541416690831
deviation 3/5   iterations 1390/2000   F1 0.5034722222222222   accuracy 0.6627906976744186   precision 0.5045640696073633   recall 0.5050405900991491
deviation 3/5   iterations 1400/2000   F1 0.48852338962951164   accuracy 0.6511627906976745   precision 0.49446268207408156   recall 0.4851052401034656
deviation 3/5   iterations 1410/2000   F1 0.5136400642222262   accuracy 0.6550387596899225   precision 0.513826043237808   recall 0.5160564973057579
deviation 3/5   iterations 1420/2000   F1 0.5205060129531428   accuracy 0.6757105943152455   precision 0.5295515107470049   recall 0.5157685326856035
deviation 3/5   iterations 1430/2000   F1 0.521898664496213   accuracy 0.6666666666666666   precision 0.5260298163411344   recall 0.521496753603698
deviation 3/5   iterations 1440/2000   F1 0.509618403023266   accuracy 0.6343669250645995   precision 0.5176061742006095   recall 0.5174806206984132
deviation 3/5   iterations 1450/2000   F1 0.511091903739501   accuracy 0.6524547803617571   precision 0.5107649213277791   recall 0.5120087190358099
deviation 3/5   iterations 1460/2000   F1 0.5016416693259582   accuracy 0.6408268733850129   precision 0.5006771990893438   recall 0.5040424493872974
deviation 3/5   iterations 1470/2000   F1 0.4984708515491563   accuracy 0.6330749354005168   precision 0.5078021227668194   recall 0.5028177491799874
deviation 3/5   iterations 1480/2000   F1 0.48788560197018976   accuracy 0.6395348837209303   precision 0.4888903976026538   recall 0.4875145509239913
deviation 3/5   iterations 1490/2000   F1 0.5202577294005797   accuracy 0.6744186046511628   precision 0.5231552450039846   recall 0.519195045221308
deviation 3/5   iterations 1500/2000   F1 0.5171465475187144   accuracy 0.665374677002584   precision 0.514514719610507   recall 0.522125725722082
deviation 3/5   iterations 1510/2000   F1 0.5204432355441138   accuracy 0.6847545219638242   precision 0.5209739091318039   recall 0.5296553139330852
deviation 3/5   iterations 1520/2000   F1 0.5057390552197351   accuracy 0.6382428940568475   precision 0.5035486005690389   recall 0.5129641467036475
deviation 3/5   iterations 1530/2000   F1 0.5156047713981026   accuracy 0.6524547803617571   precision 0.5187320283659757   recall 0.5181969045094563
deviation 3/5   iterations 1540/2000   F1 0.5069786195830921   accuracy 0.6317829457364341   precision 0.5099490172408155   recall 0.5151621058399717
deviation 3/5   iterations 1550/2000   F1 0.49853547684480776   accuracy 0.6434108527131783   precision 0.5005869060644285   recall 0.4983756335938993
deviation 3/5   iterations 1560/2000   F1 0.5278343977381282   accuracy 0.6718346253229974   precision 0.5273199059107951   recall 0.5309142829549786
deviation 3/5   iterations 1570/2000   F1 0.5232567606182726   accuracy 0.6692506459948321   precision 0.520380839569985   recall 0.5285957680965371
deviation 3/5   iterations 1580/2000   F1 0.5033563495022971   accuracy 0.6782945736434108   precision 0.5094696969696969   recall 0.5036420043518115
deviation 3/5   iterations 1590/2000   F1 0.5050287377079528   accuracy 0.6808785529715762   precision 0.507071264217164   recall 0.5101479142056452
deviation 3/5   iterations 1600/2000   F1 0.4772787272777512   accuracy 0.6408268733850129   precision 0.4761185910512716   recall 0.4835449842547915
deviation 3/5   iterations 1610/2000   F1 0.4934298180900731   accuracy 0.6175710594315246   precision 0.495274422379457   recall 0.5028086490880765
deviation 3/5   iterations 1620/2000   F1 0.49869924768230645   accuracy 0.6266149870801033   precision 0.49970148909859224   recall 0.5067950222333281
deviation 3/5   iterations 1630/2000   F1 0.5361659965840105   accuracy 0.6782945736434108   precision 0.5351168455646068   recall 0.5412963400660077
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deviation 3/5   iterations 1640/2000   F1 0.5310218369412758   accuracy 0.6847545219638242   precision 0.5325380191839088   recall 0.5316561044113391
deviation 3/5   iterations 1650/2000   F1 0.5159694529541979   accuracy 0.6692506459948321   precision 0.51849924649908   recall 0.5138970290987327
deviation 3/5   iterations 1660/2000   F1 0.5104381385859167   accuracy 0.6434108527131783   precision 0.509926034853606   recall 0.5150751630699578
deviation 3/5   iterations 1670/2000   F1 0.5002178519694174   accuracy 0.6459948320413437   precision 0.49810824676157495   recall 0.5039490299752928
deviation 3/5   iterations 1680/2000   F1 0.5026574588924708   accuracy 0.6679586563307494   precision 0.5039986108003282   recall 0.5025569208699459
deviation 3/5   iterations 1690/2000   F1 0.5250649889831814   accuracy 0.6795865633074936   precision 0.5319752077785846   recall 0.5262223247553899
deviation 3/5   iterations 1700/2000   F1 0.5119622924500974   accuracy 0.6317829457364341   precision 0.5152547251095345   recall 0.531114935882474
deviation 3/5   iterations 1710/2000   F1 0.5136191552057602   accuracy 0.648578811369509   precision 0.5165052461662631   recall 0.526086192299371
deviation 3/5   iterations 1720/2000   F1 0.5129258525302193   accuracy 0.6563307493540051   precision 0.5159423421916102   recall 0.5223946293389095
deviation 3/5   iterations 1730/2000   F1 0.5120950264707554   accuracy 0.6537467700258398   precision 0.5104957796036009   recall 0.5176858646632692
deviation 3/5   iterations 1740/2000   F1 0.5186044115857097   accuracy 0.6537467700258398   precision 0.5154417269151322   recall 0.5230773001978491
deviation 3/5   iterations 1750/2000   F1 0.5269443311204243   accuracy 0.6537467700258398   precision 0.522440270836473   recall 0.536250421084208
deviation 3/5   iterations 1760/2000   F1 0.5175892553264644   accuracy 0.6563307493540051   precision 0.5150119319224818   recall 0.5219372882332779
deviation 3/5   iterations 1770/2000   F1 0.5163922449898207   accuracy 0.661498708010336   precision 0.5136503954349323   recall 0.5201146054097668
deviation 3/5   iterations 1780/2000   F1 0.5189357982312313   accuracy 0.6886304909560723   precision 0.5291037634474006   recall 0.5145774454303971
deviation 3/5   iterations 1790/2000   F1 0.5259769411260867   accuracy 0.6666666666666666   precision 0.5235350067224952   recall 0.5292105571887898
deviation 3/5   iterations 1800/2000   F1 0.5104028860811487   accuracy 0.6524547803617571   precision 0.5139382584181127   recall 0.513009114274937
deviation 3/5   iterations 1810/2000   F1 0.5129045226130654   accuracy 0.6731266149870802   precision 0.5216944907556534   recall 0.5073297141202028
deviation 3/5   iterations 1820/2000   F1 0.523011564824741   accuracy 0.6782945736434108   precision 0.530496899169968   recall 0.5179512840106711
deviation 3/5   iterations 1830/2000   F1 0.5147998374749182   accuracy 0.6550387596899225   precision 0.5195434023720225   recall 0.5143951156609384
deviation 3/5   iterations 1840/2000   F1 0.5241195955601269   accuracy 0.6576227390180879   precision 0.5212855981737928   recall 0.5278859609274846
deviation 3/5   iterations 1850/2000   F1 0.5169303473468855   accuracy 0.6550387596899225   precision 0.517549799474127   recall 0.5187182741897044
deviation 3/5   iterations 1860/2000   F1 0.5224944907033192   accuracy 0.6524547803617571   precision 0.5201968506517909   recall 0.5310306165623805
deviation 3/5   iterations 1870/2000   F1 0.5132658605550043   accuracy 0.6330749354005168   precision 0.5101462528858959   recall 0.5276884233467695
deviation 3/5   iterations 1880/2000   F1 0.5198988711979878   accuracy 0.6550387596899225   precision 0.5163392632205152   recall 0.5314162227092548
deviation 3/5   iterations 1890/2000   F1 0.5353841240754145   accuracy 0.6821705426356589   precision 0.5353410046814425   recall 0.5389843018495568
deviation 3/5   iterations 1900/2000   F1 0.5167174588763541   accuracy 0.6666666666666666   precision 0.5159297988136734   recall 0.5184955678863167
deviation 3/5   iterations 1910/2000   F1 0.5270987654320988   accuracy 0.6421188630490956   precision 0.5280128461357042   recall 0.5406605223829878
deviation 3/5   iterations 1920/2000   F1 0.5224123580768844   accuracy 0.6821705426356589   precision 0.5249585894423849   recall 0.521555904201119
deviation 3/5   iterations 1930/2000   F1 0.5172886903570274   accuracy 0.6782945736434108   precision 0.519458068924242   recall 0.5219350337060026
deviation 3/5   iterations 1940/2000   F1 0.5304032156518858   accuracy 0.6692506459948321   precision 0.5292010532974388   recall 0.5347839535701833
deviation 3/5   iterations 1950/2000   F1 0.5232292546672025   accuracy 0.6640826873385013   precision 0.5210541989279333   recall 0.5269599240970352
deviation 3/5   iterations 1960/2000   F1 0.5129079946242417   accuracy 0.6459948320413437   precision 0.5096535274764168   recall 0.5214453093904177
deviation 3/5   iterations 1970/2000   F1 0.5255508673955843   accuracy 0.6744186046511628   precision 0.5278421952268169   recall 0.5237218490501349
deviation 3/5   iterations 1980/2000   F1 0.5315074481573739   accuracy 0.6640826873385013   precision 0.5341863865070616   recall 0.5350131365155617
deviation 3/5   iterations 1990/2000   F1 0.5284873862394043   accuracy 0.6602067183462532   precision 0.525773904568971   recall 0.5319337391974326
deviation 3/5   iterations 2000/2000   F1 0.5195289701664155   accuracy 0.6550387596899225   precision 0.5194556045949236   recall 0.5262284324747356

deviation 4/5   iterations 10/2000   F1 0.41123766243785403   accuracy 0.6266149870801033   precision 0.4417643051614344   recall 0.41166770333929925
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deviation 4/5   iterations 20/2000   F1 0.36447487123989725   accuracy 0.37209302325581395   precision 0.5264590631335383   recall 0.45153487806983605
deviation 4/5   iterations 30/2000   F1 0.4992313230249761   accuracy 0.6666666666666666   precision 0.5400250101858006   recall 0.5094419602286632
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deviation 4/5   iterations 40/2000   F1 0.4994476161966059   accuracy 0.6214470284237726   precision 0.5118995659815401   recall 0.5088213503568998
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deviation 4/5   iterations 50/2000   F1 0.5214621609798775   accuracy 0.6291989664082688   precision 0.52220782536287   recall 0.5448349640943987
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deviation 4/5   iterations 60/2000   F1 0.5340065562464836   accuracy 0.6718346253229974   precision 0.5391935448403123   recall 0.5421544951297702
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deviation 4/5   iterations 70/2000   F1 0.512882376882377   accuracy 0.6175710594315246   precision 0.5369285271354081   recall 0.5332243535839892
deviation 4/5   iterations 80/2000   F1 0.4786512180629828   accuracy 0.562015503875969   precision 0.5482828195620778   recall 0.5267882111014727
deviation 4/5   iterations 90/2000   F1 0.5332717723290968   accuracy 0.6744186046511628   precision 0.5329461126276412   recall 0.5360982199974273
deviation 4/5   iterations 100/2000   F1 0.5111243748873572   accuracy 0.6576227390180879   precision 0.5202435218350435   recall 0.5123904719906139
deviation 4/5   iterations 110/2000   F1 0.5300012280108931   accuracy 0.6537467700258398   precision 0.5295002411413531   recall 0.5399804749739684
deviation 4/5   iterations 120/2000   F1 0.5182867197942574   accuracy 0.6201550387596899   precision 0.5354756446849729   recall 0.5415274086160162
deviation 4/5   iterations 130/2000   F1 0.5046249218508726   accuracy 0.5968992248062015   precision 0.518851276410229   recall 0.5314436459592026
deviation 4/5   iterations 140/2000   F1 0.5254854159758203   accuracy 0.6421188630490956   precision 0.5241434061914841   recall 0.5430507722001866
deviation 4/5   iterations 150/2000   F1 0.537393063166259   accuracy 0.6550387596899225   precision 0.5341335878075595   recall 0.5560332010704659
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deviation 4/5   iterations 160/2000   F1 0.49604597861020183   accuracy 0.5723514211886305   precision 0.5204520549348136   recall 0.5312461083784875
deviation 4/5   iterations 170/2000   F1 0.5121059573058337   accuracy 0.6072351421188631   precision 0.525300206678773   recall 0.5369197697365212
deviation 4/5   iterations 180/2000   F1 0.5433098680300654   accuracy 0.6705426356589147   precision 0.5397813243870715   recall 0.5531768789783696
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deviation 4/5   iterations 190/2000   F1 0.5197442443481707   accuracy 0.6304909560723514   precision 0.5274355444310794   recall 0.5352881478517347
deviation 4/5   iterations 200/2000   F1 0.5132965102389045   accuracy 0.6098191214470284   precision 0.5242545397864546   recall 0.5383057711225225
deviation 4/5   iterations 210/2000   F1 0.5196686005330132   accuracy 0.6085271317829457   precision 0.5307097037517216   recall 0.5498533778434406
deviation 4/5   iterations 220/2000   F1 0.5157361392265938   accuracy 0.5943152454780362   precision 0.5303820104576428   recall 0.5563360045792318
deviation 4/5   iterations 230/2000   F1 0.5295091664252102   accuracy 0.6175710594315246   precision 0.5368220052579047   recall 0.56587671310255
deviation 4/5   iterations 240/2000   F1 0.4917669877754987   accuracy 0.5801033591731266   precision 0.5090287293723575   recall 0.5186367012937462
deviation 4/5   iterations 250/2000   F1 0.5228513006568678   accuracy 0.6382428940568475   precision 0.524594330400782   recall 0.542701033532691
deviation 4/5   iterations 260/2000   F1 0.49538334128359357   accuracy 0.582687338501292   precision 0.5124579124579124   recall 0.5254141382143275
deviation 4/5   iterations 270/2000   F1 0.500459917481194   accuracy 0.5904392764857881   precision 0.5163103700964278   recall 0.5287075106665785
deviation 4/5   iterations 280/2000   F1 0.5001500826035737   accuracy 0.5917312661498708   precision 0.5119158997047154   recall 0.5309261294710248
deviation 4/5   iterations 290/2000   F1 0.5304570687922276   accuracy 0.6162790697674418   precision 0.5338811806846437   recall 0.5671166211211166
deviation 4/5   iterations 300/2000   F1 0.5025856885408366   accuracy 0.5813953488372093   precision 0.5249487478564732   recall 0.5335710998789196
deviation 4/5   iterations 310/2000   F1 0.5300359343476585   accuracy 0.6421188630490956   precision 0.5309064723503963   recall 0.550103589379586
deviation 4/5   iterations 320/2000   F1 0.5385234695772018   accuracy 0.6395348837209303   precision 0.5365852816306994   recall 0.5628911041190706
deviation 4/5   iterations 330/2000   F1 0.5251061613351492   accuracy 0.6382428940568475   precision 0.5272469193189048   recall 0.5386494020706726
deviation 4/5   iterations 340/2000   F1 0.526310929688289   accuracy 0.6472868217054264   precision 0.5276343422058339   recall 0.5373801032147182
deviation 4/5   iterations 350/2000   F1 0.5184136793345155   accuracy 0.6317829457364341   precision 0.5185815705592581   recall 0.5342518851332291
deviation 4/5   iterations 360/2000   F1 0.515717017498414   accuracy 0.6188630490956072   precision 0.5202937141934963   recall 0.5369007087331942
deviation 4/5   iterations 370/2000   F1 0.5192213341119737   accuracy 0.6253229974160207   precision 0.5206331529203881   recall 0.5402978304315108
deviation 4/5   iterations 380/2000   F1 0.5120803962990558   accuracy 0.6162790697674418   precision 0.5162588426700313   recall 0.5370403254586384
deviation 4/5   iterations 390/2000   F1 0.4940257271526087   accuracy 0.5891472868217055   precision 0.5066108590204976   recall 0.5216226791998707
deviation 4/5   iterations 400/2000   F1 0.5209742772098962   accuracy 0.624031007751938   precision 0.5215953996826125   recall 0.5456572516787825
deviation 4/5   iterations 410/2000   F1 0.4949480115085673   accuracy 0.5956072351421189   precision 0.5054735898805183   recall 0.5205608788360475
deviation 4/5   iterations 420/2000   F1 0.47937743317644915   accuracy 0.5775193798449613   precision 0.49522125517932647   recall 0.5082649740167781
deviation 4/5   iterations 430/2000   F1 0.504330715397909   accuracy 0.6317829457364341   precision 0.5076184931616993   recall 0.5283173954651537
deviation 4/5   iterations 440/2000   F1 0.5249118796801078   accuracy 0.6421188630490956   precision 0.5277307843258764   recall 0.5514255621909708
deviation 4/5   iterations 450/2000   F1 0.5188062226183298   accuracy 0.648578811369509   precision 0.5185945837108629   recall 0.5374621680075365
deviation 4/5   iterations 460/2000   F1 0.5241471906325007   accuracy 0.6666666666666666   precision 0.5224663334024845   recall 0.5323975569450549
deviation 4/5   iterations 470/2000   F1 0.5404356046672454   accuracy 0.6718346253229974   precision 0.5407750999198834   recall 0.5492073123091696
deviation 4/5   iterations 480/2000   F1 0.5071697411233668   accuracy 0.6266149870801033   precision 0.5094980103831771   recall 0.5175100115358012
deviation 4/5   iterations 490/2000   F1 0.5277729525005364   accuracy 0.6550387596899225   precision 0.5261826483639646   recall 0.5344174084266359
deviation 4/5   iterations 500/2000   F1 0.5233055761753195   accuracy 0.6434108527131783   precision 0.5198924962628554   recall 0.5376234691862279
deviation 4/5   iterations 510/2000   F1 0.5086463159148821   accuracy 0.603359173126615   precision 0.5160875747810287   recall 0.5372310174747179
deviation 4/5   iterations 520/2000   F1 0.5033045202643923   accuracy 0.6304909560723514   precision 0.5020435617450543   recall 0.5157910779583559
deviation 4/5   iterations 530/2000   F1 0.5300365196891866   accuracy 0.6524547803617571   precision 0.5256717111405106   recall 0.542406592270546
deviation 4/5   iterations 540/2000   F1 0.5178559745002124   accuracy 0.6563307493540051   precision 0.5234846063705124   recall 0.529379564751622
deviation 4/5   iterations 550/2000   F1 0.5118756771225953   accuracy 0.624031007751938   precision 0.5117917317485458   recall 0.5291613675027848
deviation 4/5   iterations 560/2000   F1 0.5210968943793786   accuracy 0.6511627906976745   precision 0.5234963794886952   recall 0.5353896425705251
deviation 4/5   iterations 570/2000   F1 0.4730306547677369   accuracy 0.5710594315245479   precision 0.48361663066444877   recall 0.490304876854031
deviation 4/5   iterations 580/2000   F1 0.4970218163775602   accuracy 0.6227390180878553   precision 0.498428692747023   recall 0.5132265736784842
deviation 4/5   iterations 590/2000   F1 0.485387515602879   accuracy 0.5762273901808785   precision 0.5028768669962874   recall 0.5107089225745324
deviation 4/5   iterations 600/2000   F1 0.5026053950133779   accuracy 0.6304909560723514   precision 0.5051881456323382   recall 0.5207752228928143
deviation 4/5   iterations 610/2000   F1 0.4913971187464341   accuracy 0.6162790697674418   precision 0.49323089071738985   recall 0.5055062934514017
deviation 4/5   iterations 620/2000   F1 0.5188210128748745   accuracy 0.648578811369509   precision 0.5201627187248407   recall 0.5357329045960301
deviation 4/5   iterations 630/2000   F1 0.49030575695357576   accuracy 0.5788113695090439   precision 0.5003277531485035   recall 0.5172148324283661
deviation 4/5   iterations 640/2000   F1 0.5306123850049209   accuracy 0.6718346253229974   precision 0.5337205387205387   recall 0.5352374414837445
deviation 4/5   iterations 650/2000   F1 0.5258835556243936   accuracy 0.6757105943152455   precision 0.5307028052311071   recall 0.5345189031454263
deviation 4/5   iterations 660/2000   F1 0.5147099409394492   accuracy 0.6524547803617571   precision 0.5114567449511421   recall 0.5223164177381615
deviation 4/5   iterations 670/2000   F1 0.4965311085643858   accuracy 0.6059431524547804   precision 0.4963915113991065   recall 0.5124744223880625
deviation 4/5   iterations 680/2000   F1 0.5030030464867008   accuracy 0.6291989664082688   precision 0.5021358755804264   recall 0.5141655637929151
deviation 4/5   iterations 690/2000   F1 0.5277719114397202   accuracy 0.6589147286821705   precision 0.5259091013454562   recall 0.5370895151446434
deviation 4/5   iterations 700/2000   F1 0.5375478876510869   accuracy 0.6692506459948321   precision 0.5435826886055719   recall 0.5442949023334686
deviation 4/5   iterations 710/2000   F1 0.511642353921923   accuracy 0.6188630490956072   precision 0.5143105521320639   recall 0.5292547869147892
deviation 4/5   iterations 720/2000   F1 0.50275743146085   accuracy 0.6227390180878553   precision 0.5009812187231543   recall 0.5160919958624915
deviation 4/5   iterations 730/2000   F1 0.5317959468902865   accuracy 0.6731266149870802   precision 0.5289345953831601   recall 0.5402536007055113
deviation 4/5   iterations 740/2000   F1 0.5052945104054606   accuracy 0.627906976744186   precision 0.503313053908904   recall 0.5179993669287412
deviation 4/5   iterations 750/2000   F1 0.5096464003954838   accuracy 0.6408268733850129   precision 0.5060034628124059   recall 0.5178765566793486
deviation 4/5   iterations 760/2000   F1 0.5023311403508771   accuracy 0.6382428940568475   precision 0.5025033172252186   recall 0.5128283831702736
deviation 4/5   iterations 770/2000   F1 0.49968424317608623   accuracy 0.6175710594315246   precision 0.49810640480396895   recall 0.5108618615066031
deviation 4/5   iterations 780/2000   F1 0.5143949912377862   accuracy 0.6408268733850129   precision 0.5111726100696689   recall 0.5216066105691092
deviation 4/5   iterations 790/2000   F1 0.517352221653297   accuracy 0.6498708010335917   precision 0.5236394823448003   recall 0.5371547734614102
deviation 4/5   iterations 800/2000   F1 0.527519838598033   accuracy 0.6524547803617571   precision 0.5264911394110908   recall 0.5414061970314189
deviation 4/5   iterations 810/2000   F1 0.5152213749423363   accuracy 0.6408268733850129   precision 0.5138475946868958   recall 0.524929373858748
deviation 4/5   iterations 820/2000   F1 0.5157747068847572   accuracy 0.6421188630490956   precision 0.5121907126760455   recall 0.526351242724128
deviation 4/5   iterations 830/2000   F1 0.5001177476173614   accuracy 0.6072351421188631   precision 0.5005432037558161   recall 0.5200165949604019
deviation 4/5   iterations 840/2000   F1 0.5034996261639282   accuracy 0.6214470284237726   precision 0.5013382015973583   recall 0.5179928902867504
deviation 4/5   iterations 850/2000   F1 0.5126033360666475   accuracy 0.6330749354005168   precision 0.508733585108705   recall 0.52509452822951
deviation 4/5   iterations 860/2000   F1 0.5079463673237202   accuracy 0.6343669250645995   precision 0.5044389340910069   recall 0.5154119484534722
deviation 4/5   iterations 870/2000   F1 0.5129987216812489   accuracy 0.6434108527131783   precision 0.5119617224880383   recall 0.5195340851320976
deviation 4/5   iterations 880/2000   F1 0.5208553758543741   accuracy 0.6627906976744186   precision 0.5182072162166452   recall 0.5244018964591542
deviation 4/5   iterations 890/2000   F1 0.5389229823978559   accuracy 0.6718346253229974   precision 0.5375271711956379   recall 0.5432227721355841
deviation 4/5   iterations 900/2000   F1 0.5193840308105139   accuracy 0.6537467700258398   precision 0.5182871848454945   recall 0.5289939586047477
deviation 4/5   iterations 910/2000   F1 0.5132358621858807   accuracy 0.6627906976744186   precision 0.5135796605724502   recall 0.513890552456742
deviation 4/5   iterations 920/2000   F1 0.5271270405081527   accuracy 0.6718346253229974   precision 0.5281454010923817   recall 0.5283882696044059
deviation 4/5   iterations 930/2000   F1 0.5064796921311404   accuracy 0.6304909560723514   precision 0.5031519160508523   recall 0.5175882231365492
deviation 4/5   iterations 940/2000   F1 0.5123239297610679   accuracy 0.6369509043927648   precision 0.5103348725256852   recall 0.5253085033636317
deviation 4/5   iterations 950/2000   F1 0.5131497725454021   accuracy 0.6447028423772609   precision 0.5120495257464186   recall 0.525007585459496
deviation 4/5   iterations 960/2000   F1 0.5108296433350566   accuracy 0.6447028423772609   precision 0.5118756240360222   recall 0.5232104402813027
deviation 4/5   iterations 970/2000   F1 0.5024836242227546   accuracy 0.6408268733850129   precision 0.4995679196111927   recall 0.5082298443826895
deviation 4/5   iterations 980/2000   F1 0.5253977884204674   accuracy 0.6511627906976745   precision 0.520823300683389   recall 0.5348644196982065
deviation 4/5   iterations 990/2000   F1 0.5225010656767068   accuracy 0.648578811369509   precision 0.519374257817654   recall 0.5316133913673249
deviation 4/5   iterations 1000/2000   F1 0.5140279028957081   accuracy 0.6459948320413437   precision 0.5103422896850326   recall 0.5215131911571046
deviation 4/5   iterations 1010/2000   F1 0.5096065558477854   accuracy 0.6447028423772609   precision 0.5108425965568822   recall 0.5132421504123857
deviation 4/5   iterations 1020/2000   F1 0.505978448883886   accuracy 0.6472868217054264   precision 0.5032570222898237   recall 0.5116948478476929
deviation 4/5   iterations 1030/2000   F1 0.4847293065591835   accuracy 0.6111111111111112   precision 0.48639162945237463   recall 0.4919013691047289
deviation 4/5   iterations 1040/2000   F1 0.5029497663885769   accuracy 0.6214470284237726   precision 0.499749658685378   recall 0.5161957451085571
deviation 4/5   iterations 1050/2000   F1 0.5220626484389387   accuracy 0.6576227390180879   precision 0.5351321416571003   recall 0.5335310922676354
deviation 4/5   iterations 1060/2000   F1 0.4949277042279299   accuracy 0.627906976744186   precision 0.4925202776385274   recall 0.5005709692803032
deviation 4/5   iterations 1070/2000   F1 0.4796938204371833   accuracy 0.6111111111111112   precision 0.4982843336166674   recall 0.4997331049620177
deviation 4/5   iterations 1080/2000   F1 0.5072507287720435   accuracy 0.6369509043927648   precision 0.5039889638911551   recall 0.5183235679509192
deviation 4/5   iterations 1090/2000   F1 0.5085573335204875   accuracy 0.6421188630490956   precision 0.5070210527401914   recall 0.5136532942045777
deviation 4/5   iterations 1100/2000   F1 0.4933530917752755   accuracy 0.6098191214470284   precision 0.4980908796042896   recall 0.5049745939370925
deviation 4/5   iterations 1110/2000   F1 0.4894858915604929   accuracy 0.6188630490956072   precision 0.49077340639971406   recall 0.505824017831589
deviation 4/5   iterations 1120/2000   F1 0.5089051482888545   accuracy 0.6537467700258398   precision 0.5054382830823824   recall 0.5150240877793225
deviation 4/5   iterations 1130/2000   F1 0.492753567630055   accuracy 0.6266149870801033   precision 0.4905588825594667   recall 0.49894545511486244
deviation 4/5   iterations 1140/2000   F1 0.49845395696141964   accuracy 0.6382428940568475   precision 0.49638756403462286   recall 0.5041820661127416
deviation 4/5   iterations 1150/2000   F1 0.4935194102505734   accuracy 0.6149870801033591   precision 0.4913962223413442   recall 0.5040844245860217
deviation 4/5   iterations 1160/2000   F1 0.47592282394120566   accuracy 0.603359173126615   precision 0.4814319092991773   recall 0.4913877058086215
deviation 4/5   iterations 1170/2000   F1 0.49398654974793654   accuracy 0.6369509043927648   precision 0.4962449232949102   recall 0.5050146835311865
deviation 4/5   iterations 1180/2000   F1 0.5102821812540895   accuracy 0.6563307493540051   precision 0.5144439295388469   recall 0.5089678126469798
deviation 4/5   iterations 1190/2000   F1 0.49437024319753525   accuracy 0.6550387596899225   precision 0.503652723567407   recall 0.48898138736066105
deviation 4/5   iterations 1200/2000   F1 0.50067852360071   accuracy 0.661498708010336   precision 0.5109479556791695   recall 0.4949724041762371
deviation 4/5   iterations 1210/2000   F1 0.5337182088033449   accuracy 0.6718346253229974   precision 0.5361224823678102   recall 0.5319825599607926
deviation 4/5   iterations 1220/2000   F1 0.5162509069385574   accuracy 0.6459948320413437   precision 0.5124387131315038   recall 0.5225135863962316
deviation 4/5   iterations 1230/2000   F1 0.4998816688772383   accuracy 0.6291989664082688   precision 0.49798101101676756   recall 0.5115037869089685
deviation 4/5   iterations 1240/2000   F1 0.5241819646675477   accuracy 0.6718346253229974   precision 0.5312172420838455   recall 0.5281846243043451
deviation 4/5   iterations 1250/2000   F1 0.5157941432471019   accuracy 0.661498708010336   precision 0.5237635313253688   recall 0.5234373686994058
deviation 4/5   iterations 1260/2000   F1 0.5047996963352507   accuracy 0.6408268733850129   precision 0.5036078661251379   recall 0.5167403979068478
deviation 4/5   iterations 1270/2000   F1 0.5069309700062838   accuracy 0.6343669250645995   precision 0.5042411292411293   recall 0.5152761849200983
deviation 4/5   iterations 1280/2000   F1 0.494214154073309   accuracy 0.6253229974160207   precision 0.4923677319933201   recall 0.500049599600055
deviation 4/5   iterations 1290/2000   F1 0.5058788353826583   accuracy 0.6330749354005168   precision 0.5021074490565357   recall 0.5137864342880314
deviation 4/5   iterations 1300/2000   F1 0.5108790410751195   accuracy 0.6330749354005168   precision 0.5065695181636815   recall 0.5191778698226113
deviation 4/5   iterations 1310/2000   F1 0.507734668009112   accuracy 0.6201550387596899   precision 0.5058552177545312   recall 0.5242848250064623
deviation 4/5   iterations 1320/2000   F1 0.4907812271760861   accuracy 0.5839793281653747   precision 0.49375298569755244   recall 0.5147990449658497
deviation 4/5   iterations 1330/2000   F1 0.509115203926192   accuracy 0.6188630490956072   precision 0.5079386299974535   recall 0.5265930100308428
deviation 4/5   iterations 1340/2000   F1 0.5169677485734185   accuracy 0.6511627906976745   precision 0.5198570899505479   recall 0.5266754437463061
deviation 4/5   iterations 1350/2000   F1 0.5194299696309914   accuracy 0.6511627906976745   precision 0.5189548120041393   recall 0.5250819438681736
deviation 4/5   iterations 1360/2000   F1 0.5321756141033956   accuracy 0.665374677002584   precision 0.5325134249490929   recall 0.5362313600808809
deviation 4/5   iterations 1370/2000   F1 0.5053079337466269   accuracy 0.6395348837209303   precision 0.5065251896293186   recall 0.5097412794680037
deviation 4/5   iterations 1380/2000   F1 0.512424407189742   accuracy 0.6395348837209303   precision 0.5098957227259114   recall 0.5174550830530956
deviation 4/5   iterations 1390/2000   F1 0.5277155414456793   accuracy 0.6692506459948321   precision 0.528369308030325   recall 0.5287315316299109
deviation 4/5   iterations 1400/2000   F1 0.5245742753792983   accuracy 0.6627906976744186   precision 0.5244118964374497   recall 0.5253344099315944
deviation 4/5   iterations 1410/2000   F1 0.512822632084053   accuracy 0.6330749354005168   precision 0.5112629172462945   recall 0.5219754102399318
deviation 4/5   iterations 1420/2000   F1 0.4998819837678162   accuracy 0.6330749354005168   precision 0.49736504302908013   recall 0.503410853818993
deviation 4/5   iterations 1430/2000   F1 0.5116155079597468   accuracy 0.6369509043927648   precision 0.5075823943246908   recall 0.5185272132509801
deviation 4/5   iterations 1440/2000   F1 0.5120362278369236   accuracy 0.6472868217054264   precision 0.5120166714028607   recall 0.5160858881431459
deviation 4/5   iterations 1450/2000   F1 0.514356227418726   accuracy 0.6498708010335917   precision 0.5119933935471289   recall 0.5176076530625212
deviation 4/5   iterations 1460/2000   F1 0.5035541888773633   accuracy 0.6356589147286822   precision 0.5009103956472377   recall 0.507390750322254
deviation 4/5   iterations 1470/2000   F1 0.511930693659277   accuracy 0.6382428940568475   precision 0.5103748159740404   recall 0.5176945958325351
deviation 4/5   iterations 1480/2000   F1 0.5133972913840398   accuracy 0.6511627906976745   precision 0.5122190334259186   recall 0.514774245165822
deviation 4/5   iterations 1490/2000   F1 0.4888222964342603   accuracy 0.6227390180878553   precision 0.4866913646762219   recall 0.4942725579186007
deviation 4/5   iterations 1500/2000   F1 0.5069775596072931   accuracy 0.6550387596899225   precision 0.5086267062469506   recall 0.5130553115883768
deviation 4/5   iterations 1510/2000   F1 0.5065861546599993   accuracy 0.6447028423772609   precision 0.5045052986484064   recall 0.512038109873198
deviation 4/5   iterations 1520/2000   F1 0.5259278349873691   accuracy 0.6498708010335917   precision 0.5211714419288053   recall 0.5350360507109589
deviation 4/5   iterations 1530/2000   F1 0.5177286489411556   accuracy 0.6705426356589147   precision 0.5298998544509818   recall 0.5238973332549578
deviation 4/5   iterations 1540/2000   F1 0.521174436022447   accuracy 0.6679586563307494   precision 0.5282422421447789   recall 0.5175950687011849
deviation 4/5   iterations 1550/2000   F1 0.5290273641915203   accuracy 0.6498708010335917   precision 0.5271048642689817   recall 0.5388339863674064
deviation 4/5   iterations 1560/2000   F1 0.5417074241566392   accuracy 0.6705426356589147   precision 0.5415406844846037   recall 0.5446663254542115
deviation 4/5   iterations 1570/2000   F1 0.5125532098319087   accuracy 0.6498708010335917   precision 0.5132215599225082   recall 0.512419862828002
deviation 4/5   iterations 1580/2000   F1 0.5240965458866049   accuracy 0.6627906976744186   precision 0.5362651920388565   recall 0.531115304805119
deviation 4/5   iterations 1590/2000   F1 0.5177338638766965   accuracy 0.6550387596899225   precision 0.5234072624483583   recall 0.5244312872965423
deviation 4/5   iterations 1600/2000   F1 0.522451620321412   accuracy 0.661498708010336   precision 0.5249111297061198   recall 0.5228442640604004
deviation 4/5   iterations 1610/2000   F1 0.5152616048746395   accuracy 0.665374677002584   precision 0.5197235537450249   recall 0.5118859087864175
deviation 4/5   iterations 1620/2000   F1 0.5078828577385659   accuracy 0.6447028423772609   precision 0.5068637299562578   recall 0.5095799782893122
deviation 4/5   iterations 1630/2000   F1 0.5090599775880126   accuracy 0.6498708010335917   precision 0.5124884275958256   recall 0.5079609407658622
deviation 4/5   iterations 1640/2000   F1 0.5146306252871297   accuracy 0.6731266149870802   precision 0.5185565037540147   recall 0.5141110042328544
deviation 4/5   iterations 1650/2000   F1 0.5081745256359487   accuracy 0.6576227390180879   precision 0.5133121290304739   recall 0.5169673263249509
deviation 4/5   iterations 1660/2000   F1 0.5052391086920568   accuracy 0.6434108527131783   precision 0.5095807846018107   recall 0.5138032407640831
deviation 4/5   iterations 1670/2000   F1 0.5225148322499259   accuracy 0.6563307493540051   precision 0.5235358435358436   recall 0.5269893149344232
deviation 4/5   iterations 1680/2000   F1 0.49821496651366326   accuracy 0.6395348837209303   precision 0.4970607048114084   recall 0.49982304010459694
deviation 4/5   iterations 1690/2000   F1 0.5077241676829747   accuracy 0.6408268733850129   precision 0.5049969844240748   recall 0.5118920165057631
deviation 4/5   iterations 1700/2000   F1 0.5157844454039127   accuracy 0.6563307493540051   precision 0.5149764803262472   recall 0.5166816162320716
deviation 4/5   iterations 1710/2000   F1 0.5191013206260787   accuracy 0.6550387596899225   precision 0.5179916846379514   recall 0.5203796558345238
deviation 4/5   iterations 1720/2000   F1 0.512659491770969   accuracy 0.6498708010335917   precision 0.5102770596086303   recall 0.5157426261176409
deviation 4/5   iterations 1730/2000   F1 0.514486033874033   accuracy 0.6602067183462532   precision 0.5173735980187594   recall 0.514233814482247
deviation 4/5   iterations 1740/2000   F1 0.5137543187622052   accuracy 0.6692506459948321   precision 0.5206258389880775   recall 0.5171519106216848
deviation 4/5   iterations 1750/2000   F1 0.4965629720462614   accuracy 0.6524547803617571   precision 0.5056988992393536   recall 0.504548611256289
deviation 4/5   iterations 1760/2000   F1 0.5030478251469785   accuracy 0.6343669250645995   precision 0.49968611433611015   recall 0.5083591312740727
deviation 4/5   iterations 1770/2000   F1 0.5047679664426958   accuracy 0.6201550387596899   precision 0.5013195836407024   recall 0.5190291530052562
deviation 4/5   iterations 1780/2000   F1 0.5002296917644725   accuracy 0.6098191214470284   precision 0.4983288732601847   recall 0.5170794378176372
deviation 4/5   iterations 1790/2000   F1 0.5079261431935719   accuracy 0.6472868217054264   precision 0.5158004592766787   recall 0.519272887899411
deviation 4/5   iterations 1800/2000   F1 0.4996048270003663   accuracy 0.6395348837209303   precision 0.5084492933168151   recall 0.5064685666838749
deviation 4/5   iterations 1810/2000   F1 0.5012018281607834   accuracy 0.6343669250645995   precision 0.49862030177603195   recall 0.5049006044510599
deviation 4/5   iterations 1820/2000   F1 0.5186285105233895   accuracy 0.6576227390180879   precision 0.5201280249205641   recall 0.5182392486308256
deviation 4/5   iterations 1830/2000   F1 0.5118147143150091   accuracy 0.6537467700258398   precision 0.5151980576756165   recall 0.5092431929057979
deviation 4/5   iterations 1840/2000   F1 0.5160805187101233   accuracy 0.6524547803617571   precision 0.5203967120564889   recall 0.519654640854215
deviation 4/5   iterations 1850/2000   F1 0.4987254402021321   accuracy 0.6330749354005168   precision 0.4993631038828192   recall 0.5065978535752581
deviation 4/5   iterations 1860/2000   F1 0.5020150589661759   accuracy 0.6291989664082688   precision 0.4992508914110778   recall 0.5115716686756554
deviation 4/5   iterations 1870/2000   F1 0.500593084370106   accuracy 0.6498708010335917   precision 0.502543073304088   recall 0.4991788601749563
deviation 4/5   iterations 1880/2000   F1 0.5108675463109166   accuracy 0.6524547803617571   precision 0.5140940723206734   recall 0.5177896139093346
deviation 4/5   iterations 1890/2000   F1 0.5222985869026555   accuracy 0.6524547803617571   precision 0.5201693167374152   recall 0.5267753398003013
deviation 4/5   iterations 1900/2000   F1 0.5239464424131469   accuracy 0.6731266149870802   precision 0.530918195028705   recall 0.5228930848237603
deviation 4/5   iterations 1910/2000   F1 0.5049057982601659   accuracy 0.6731266149870802   precision 0.5238522476794136   recall 0.49934438346836313
deviation 4/5   iterations 1920/2000   F1 0.4915269126418967   accuracy 0.6136950904392765   precision 0.4912895702536168   recall 0.5002044241367559
deviation 4/5   iterations 1930/2000   F1 0.5017058602019621   accuracy 0.6291989664082688   precision 0.4984715372752386   recall 0.5107749187365892
deviation 4/5   iterations 1940/2000   F1 0.514234546514693   accuracy 0.6576227390180879   precision 0.5311737133595308   recall 0.5204937349146506
deviation 4/5   iterations 1950/2000   F1 0.5096016471016471   accuracy 0.6576227390180879   precision 0.5165951956750127   recall 0.517831958030704
deviation 4/5   iterations 1960/2000   F1 0.47883923856463895   accuracy 0.6162790697674418   precision 0.47686647948310273   recall 0.49046814562016267
deviation 4/5   iterations 1970/2000   F1 0.511590619600927   accuracy 0.6459948320413437   precision 0.512140057289311   recall 0.5179189008007179
deviation 4/5   iterations 1980/2000   F1 0.5315470913106143   accuracy 0.6705426356589147   precision 0.5344399913726628   recall 0.5328830591459245
deviation 4/5   iterations 1990/2000   F1 0.5323281489606986   accuracy 0.6821705426356589   precision 0.5411133218585017   recall 0.5270152215023859
deviation 4/5   iterations 2000/2000   F1 0.5047233581219648   accuracy 0.6589147286821705   precision 0.520106578544229   recall 0.49638394320755613

deviation 5/5   iterations 10/2000   F1 0.46490818549642077   accuracy 0.6253229974160207   precision 0.483934484017575   recall 0.4862655428135139
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deviation 5/5   iterations 20/2000   F1 0.43194706609306915   accuracy 0.6253229974160207   precision 0.4868087155411099   recall 0.4369993668467583
deviation 5/5   iterations 30/2000   F1 0.46937458563132345   accuracy 0.5594315245478036   precision 0.52551398288852   recall 0.550358596910117
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deviation 5/5   iterations 40/2000   F1 0.5307845588144183   accuracy 0.6459948320413437   precision 0.5255780639580051   recall 0.5437399197011169
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deviation 5/5   iterations 50/2000   F1 0.5658676262637473   accuracy 0.6847545219638242   precision 0.5612544669685168   recall 0.574973402726863
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deviation 5/5   iterations 60/2000   F1 0.5267389999962448   accuracy 0.6602067183462532   precision 0.5576321684587814   recall 0.5378003470988211
deviation 5/5   iterations 70/2000   F1 0.5821913862673574   accuracy 0.6950904392764858   precision 0.5757384773912123   recall 0.5988783193917466
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deviation 5/5   iterations 80/2000   F1 0.5758314248694282   accuracy 0.6808785529715762   precision 0.5680953169330091   recall 0.5981723654147646
deviation 5/5   iterations 90/2000   F1 0.5722535641384188   accuracy 0.6834625322997416   precision 0.5650962020393235   recall 0.5907762862098601
deviation 5/5   iterations 100/2000   F1 0.5571886246853482   accuracy 0.6602067183462532   precision 0.5516162693440928   recall 0.5809640506197942
deviation 5/5   iterations 110/2000   F1 0.5581291622775356   accuracy 0.6537467700258398   precision 0.5545950637208176   recall 0.589078668163017
deviation 5/5   iterations 120/2000   F1 0.5326437935832279   accuracy 0.599483204134367   precision 0.5459961543377351   recall 0.5903026305250368
deviation 5/5   iterations 130/2000   F1 0.5561487966912942   accuracy 0.6356589147286822   precision 0.5605455755156354   recall 0.6025180692162829
deviation 5/5   iterations 140/2000   F1 0.5586201744465314   accuracy 0.6447028423772609   precision 0.5594689135873437   recall 0.5996552704821959
deviation 5/5   iterations 150/2000   F1 0.5703572422144687   accuracy 0.6640826873385013   precision 0.5646624650060726   recall 0.6024043590588012
deviation 5/5   iterations 160/2000   F1 0.5625863419524552   accuracy 0.6718346253229974   precision 0.5578378662155504   recall 0.5846071617395409
deviation 5/5   iterations 170/2000   F1 0.5400035277880185   accuracy 0.6253229974160207   precision 0.5521773370694708   recall 0.5810891153964618
deviation 5/5   iterations 180/2000   F1 0.5677749732371581   accuracy 0.6679586563307494   precision 0.563956940679155   recall 0.5967695575527115
deviation 5/5   iterations 190/2000   F1 0.5739811717673332   accuracy 0.6770025839793282   precision 0.566745555589229   recall 0.5968901132748288
deviation 5/5   iterations 200/2000   F1 0.5541143086497458   accuracy 0.6563307493540051   precision 0.5524524669261511   recall 0.5830045617694973
deviation 5/5   iterations 210/2000   F1 0.5252002700276184   accuracy 0.6214470284237726   precision 0.5368467411105221   recall 0.5579874253126352
deviation 5/5   iterations 220/2000   F1 0.5670186495968487   accuracy 0.6679586563307494   precision 0.5615414005785709   recall 0.5939720171353912
deviation 5/5   iterations 230/2000   F1 0.5781005923998822   accuracy 0.6821705426356589   precision 0.5714719221021741   recall 0.6013234976916509
deviation 5/5   iterations 240/2000   F1 0.5376945819300998   accuracy 0.627906976744186   precision 0.5410586643240878   recall 0.5736251544248705
deviation 5/5   iterations 250/2000   F1 0.5136849704984462   accuracy 0.5981912144702842   precision 0.5255170800893234   recall 0.5504975577730812
deviation 5/5   iterations 260/2000   F1 0.5533468972985474   accuracy 0.6498708010335917   precision 0.5522717586827176   recall 0.5842700074333814
deviation 5/5   iterations 270/2000   F1 0.5771944359035678   accuracy 0.6873385012919897   precision 0.5721676637235681   recall 0.5943809064003078
deviation 5/5   iterations 280/2000   F1 0.5294290495868467   accuracy 0.6227390180878553   precision 0.5494336246472451   recall 0.5623425981287097
deviation 5/5   iterations 290/2000   F1 0.546134119684503   accuracy 0.6395348837209303   precision 0.5463010786970615   recall 0.5777934884169357
deviation 5/5   iterations 300/2000   F1 0.5530655412200708   accuracy 0.6576227390180879   precision 0.5477295243797264   recall 0.5760516406440931
deviation 5/5   iterations 310/2000   F1 0.5015135415316027   accuracy 0.5723514211886305   precision 0.5259794961103762   recall 0.5445549927982201
deviation 5/5   iterations 320/2000   F1 0.5453800808085191   accuracy 0.6589147286821705   precision 0.5527567078002944   recall 0.570081283496639
deviation 5/5   iterations 330/2000   F1 0.5615544138832703   accuracy 0.665374677002584   precision 0.5563307935557599   recall 0.5863978302757434
deviation 5/5   iterations 340/2000   F1 0.545765895802102   accuracy 0.6369509043927648   precision 0.5464863731656184   recall 0.5792050274482548
deviation 5/5   iterations 350/2000   F1 0.5522658779486943   accuracy 0.6356589147286822   precision 0.5539194098866013   recall 0.5932107657530584
deviation 5/5   iterations 360/2000   F1 0.5317005730744541   accuracy 0.6188630490956072   precision 0.5346473371272616   recall 0.5676379908013648
deviation 5/5   iterations 370/2000   F1 0.4883151205654858   accuracy 0.5400516795865633   precision 0.552945421930728   recall 0.5569846935634231
deviation 5/5   iterations 380/2000   F1 0.5673432217927075   accuracy 0.6834625322997416   precision 0.5712045173843401   recall 0.583384060197026
deviation 5/5   iterations 390/2000   F1 0.5187504781610465   accuracy 0.6007751937984496   precision 0.5421543014456218   recall 0.5620054438225501
deviation 5/5   iterations 400/2000   F1 0.5433471357381544   accuracy 0.6356589147286822   precision 0.5453533803085521   recall 0.5775116315161269
deviation 5/5   iterations 410/2000   F1 0.5228694692933106   accuracy 0.6149870801033591   precision 0.5268189815093817   recall 0.5549118811865765
deviation 5/5   iterations 420/2000   F1 0.5484905512428448   accuracy 0.6692506459948321   precision 0.5487852585039286   recall 0.5669789719831125
deviation 5/5   iterations 430/2000   F1 0.5177850319566321   accuracy 0.5904392764857881   precision 0.5386635286122604   recall 0.5605809515072498
deviation 5/5   iterations 440/2000   F1 0.5106201022601359   accuracy 0.603359173126615   precision 0.5164457617453809   recall 0.5415541760034839
deviation 5/5   iterations 450/2000   F1 0.5512001065810629   accuracy 0.6434108527131783   precision 0.5478445333440414   recall 0.5816017539074442
deviation 5/5   iterations 460/2000   F1 0.5256467451433127   accuracy 0.6253229974160207   precision 0.5272472858679755   recall 0.5517416879063631
deviation 5/5   iterations 470/2000   F1 0.5519272622753785   accuracy 0.6563307493540051   precision 0.545002052545156   recall 0.5719001131280795
deviation 5/5   iterations 480/2000   F1 0.5392598880517   accuracy 0.6511627906976745   precision 0.5348837109104202   recall 0.5566838576420974
deviation 5/5   iterations 490/2000   F1 0.5300754173580988   accuracy 0.6408268733850129   precision 0.5274519873261821   recall 0.5488853658142668
deviation 5/5   iterations 500/2000   F1 0.5491118902162462   accuracy 0.6511627906976745   precision 0.5477197578047838   recall 0.5745195458906567
deviation 5/5   iterations 510/2000   F1 0.5405196879277988   accuracy 0.6498708010335917   precision 0.5388532992994978   recall 0.5622469241894298
deviation 5/5   iterations 520/2000   F1 0.531333048624879   accuracy 0.624031007751938   precision 0.5302661503472862   recall 0.5607632812767085
deviation 5/5   iterations 530/2000   F1 0.5233015140675304   accuracy 0.6253229974160207   precision 0.5240521538082513   recall 0.5482152793166634
deviation 5/5   iterations 540/2000   F1 0.5427285317546111   accuracy 0.6602067183462532   precision 0.5375209715498576   recall 0.5580763356700894
deviation 5/5   iterations 550/2000   F1 0.5160266346066584   accuracy 0.6201550387596899   precision 0.5234424070456459   recall 0.5387977499653828
deviation 5/5   iterations 560/2000   F1 0.5414097740619089   accuracy 0.648578811369509   precision 0.5369536886041736   recall 0.5624185552021823
deviation 5/5   iterations 570/2000   F1 0.5498551044340584   accuracy 0.6472868217054264   precision 0.5500922916937475   recall 0.579561242757741
deviation 5/5   iterations 580/2000   F1 0.5630819337628045   accuracy 0.6705426356589147   precision 0.5574847991755485   recall 0.5838462792798532
deviation 5/5   iterations 590/2000   F1 0.5295189142667674   accuracy 0.648578811369509   precision 0.5263519596282349   recall 0.5447865122536837
deviation 5/5   iterations 600/2000   F1 0.5528375733855186   accuracy 0.665374677002584   precision 0.5512890560436099   recall 0.5702914054386904
deviation 5/5   iterations 610/2000   F1 0.5458333804734375   accuracy 0.6563307493540051   precision 0.5406967401817636   recall 0.5639147824762399
deviation 5/5   iterations 620/2000   F1 0.537086904794506   accuracy 0.6447028423772609   precision 0.5342651299648898   recall 0.5575420127058599
deviation 5/5   iterations 630/2000   F1 0.5380575647697597   accuracy 0.6356589147286822   precision 0.5357204635876146   recall 0.5659320105079008
deviation 5/5   iterations 640/2000   F1 0.5443664890692945   accuracy 0.661498708010336   precision 0.5420092789189895   recall 0.5602949544745357
deviation 5/5   iterations 650/2000   F1 0.5509216352589846   accuracy 0.6589147286821705   precision 0.547197386232151   recall 0.5669621655070608
deviation 5/5   iterations 660/2000   F1 0.5369064473415114   accuracy 0.6459948320413437   precision 0.5346537257279164   recall 0.5590996451046137
deviation 5/5   iterations 670/2000   F1 0.5685499213228086   accuracy 0.7067183462532299   precision 0.5818668320821124   recall 0.574767502899527
deviation 5/5   iterations 680/2000   F1 0.5386553590887957   accuracy 0.6498708010335917   precision 0.5362670702785814   recall 0.5569912521882237
deviation 5/5   iterations 690/2000   F1 0.5359915639595199   accuracy 0.6731266149870802   precision 0.5423335511483756   recall 0.5505612994078627
deviation 5/5   iterations 700/2000   F1 0.5656969847787318   accuracy 0.6731266149870802   precision 0.5582116687285289   recall 0.5834351354876612
deviation 5/5   iterations 710/2000   F1 0.538199518301867   accuracy 0.6589147286821705   precision 0.5377532432456839   recall 0.5523991900426303
deviation 5/5   iterations 720/2000   F1 0.5659789418744167   accuracy 0.6912144702842378   precision 0.5609787548552468   recall 0.5729790888905996
deviation 5/5   iterations 730/2000   F1 0.5602039217289402   accuracy 0.6808785529715762   precision 0.5556423660142561   recall 0.5716903601086731
deviation 5/5   iterations 740/2000   F1 0.53340686825095   accuracy 0.6524547803617571   precision 0.528913095795815   recall 0.5493915276832584
deviation 5/5   iterations 750/2000   F1 0.5321405902767323   accuracy 0.6550387596899225   precision 0.5276345924939218   recall 0.5455897388347406
deviation 5/5   iterations 760/2000   F1 0.5454193306002342   accuracy 0.6770025839793282   precision 0.5460979115197381   recall 0.5571671053156916
deviation 5/5   iterations 770/2000   F1 0.518884257370607   accuracy 0.6111111111111112   precision 0.522130061710206   recall 0.5494422340512486
deviation 5/5   iterations 780/2000   F1 0.5485720404491142   accuracy 0.6744186046511628   precision 0.5455243540915301   recall 0.5577140126412574
deviation 5/5   iterations 790/2000   F1 0.5508358081396697   accuracy 0.6640826873385013   precision 0.5442853049236028   recall 0.5646142598112313
deviation 5/5   iterations 800/2000   F1 0.5332159417578227   accuracy 0.6589147286821705   precision 0.528446918067545   recall 0.5442102140907299
deviation 5/5   iterations 810/2000   F1 0.5409677677127847   accuracy 0.6692506459948321   precision 0.5374779541446207   recall 0.548024956223229
deviation 5/5   iterations 820/2000   F1 0.5388595093209697   accuracy 0.6744186046511628   precision 0.5402843076853016   recall 0.5436762600491454
deviation 5/5   iterations 830/2000   F1 0.539922793401582   accuracy 0.661498708010336   precision 0.5356399798385274   recall 0.5457998607767921
deviation 5/5   iterations 840/2000   F1 0.5549315665930029   accuracy 0.6744186046511628   precision 0.5491769952128008   recall 0.5640379616482775
deviation 5/5   iterations 850/2000   F1 0.5418959861104963   accuracy 0.6770025839793282   precision 0.5376371111611394   recall 0.5485886700248466
deviation 5/5   iterations 860/2000   F1 0.5477468916363978   accuracy 0.6963824289405685   precision 0.5476748867271276   recall 0.5543889948243432
deviation 5/5   iterations 870/2000   F1 0.5272279329656379   accuracy 0.661498708010336   precision 0.5251490757304711   recall 0.5326267398904333
deviation 5/5   iterations 880/2000   F1 0.5458364953057532   accuracy 0.6795865633074936   precision 0.5420740586644476   recall 0.550975066649975
deviation 5/5   iterations 890/2000   F1 0.5565179890136056   accuracy 0.6886304909560723   precision 0.5526980022778343   recall 0.5628788886803793
deviation 5/5   iterations 900/2000   F1 0.557336887029655   accuracy 0.686046511627907   precision 0.5528873661867848   recall 0.5640867824116375
deviation 5/5   iterations 910/2000   F1 0.5447501849130213   accuracy 0.6873385012919897   precision 0.5409214136607688   recall 0.5506062669791524
deviation 5/5   iterations 920/2000   F1 0.5624651496516446   accuracy 0.6950904392764858   precision 0.5583171617654377   recall 0.5680052737902023
deviation 5/5   iterations 930/2000   F1 0.5460896179347929   accuracy 0.6821705426356589   precision 0.5434627121992263   recall 0.550699686391157
deviation 5/5   iterations 940/2000   F1 0.5314993734726793   accuracy 0.6563307493540051   precision 0.5285785293138234   recall 0.5403660811208427
deviation 5/5   iterations 950/2000   F1 0.5464658284325804   accuracy 0.6925064599483204   precision 0.5451332512832026   recall 0.5549717696292876
deviation 5/5   iterations 960/2000   F1 0.533961246087676   accuracy 0.6640826873385013   precision 0.567849234461506   recall 0.5525594664361967
deviation 5/5   iterations 970/2000   F1 0.5340458294743432   accuracy 0.648578811369509   precision 0.542740648675699   recall 0.5523645523054017
deviation 5/5   iterations 980/2000   F1 0.5140412941168662   accuracy 0.6369509043927648   precision 0.5126337040427672   recall 0.5280381620142651
deviation 5/5   iterations 990/2000   F1 0.5383865620507559   accuracy 0.6692506459948321   precision 0.5345751594533542   recall 0.5453631793392825
deviation 5/5   iterations 1000/2000   F1 0.5401417352755044   accuracy 0.6705426356589147   precision 0.5407925851234135   recall 0.5463955888657178
deviation 5/5   iterations 1010/2000   F1 0.5444024523389602   accuracy 0.6834625322997416   precision 0.5416895441404078   recall 0.547730514961084
deviation 5/5   iterations 1020/2000   F1 0.5592421238476906   accuracy 0.6847545219638242   precision 0.5634572168174319   recall 0.5666486632415889
deviation 5/5   iterations 1030/2000   F1 0.5214951713958986   accuracy 0.6472868217054264   precision 0.5505485307745195   recall 0.5409565623099281
deviation 5/5   iterations 1040/2000   F1 0.5428808057609332   accuracy 0.6744186046511628   precision 0.5472073822462544   recall 0.553983958751497
deviation 5/5   iterations 1050/2000   F1 0.5256703248304829   accuracy 0.6459948320413437   precision 0.5249375113570557   recall 0.540602970450362
deviation 5/5   iterations 1060/2000   F1 0.5671765665912578   accuracy 0.6912144702842378   precision 0.5624329834629616   recall 0.5763697339469255
deviation 5/5   iterations 1070/2000   F1 0.5574165123531398   accuracy 0.6808785529715762   precision 0.5519916523221217   recall 0.5657058199350876
deviation 5/5   iterations 1080/2000   F1 0.5614503959788348   accuracy 0.6886304909560723   precision 0.5575436213180248   recall 0.5664052972700789
deviation 5/5   iterations 1090/2000   F1 0.524655093694428   accuracy 0.6589147286821705   precision 0.5584745938908907   recall 0.5410732648399749
deviation 5/5   iterations 1100/2000   F1 0.5359882272921958   accuracy 0.6627906976744186   precision 0.5366943528478484   recall 0.5495440976926841
deviation 5/5   iterations 1110/2000   F1 0.5639414622763373   accuracy 0.6989664082687338   precision 0.5636375048035789   recall 0.5673546172185708
deviation 5/5   iterations 1120/2000   F1 0.5658422011416882   accuracy 0.6989664082687338   precision 0.5715772668063885   recall 0.5630993404564918
deviation 5/5   iterations 1130/2000   F1 0.53142999835593   accuracy 0.6408268733850129   precision 0.5273520594235109   recall 0.5511398520980918
deviation 5/5   iterations 1140/2000   F1 0.5452294483554959   accuracy 0.6692506459948321   precision 0.54061150639344   recall 0.5550098916359416
deviation 5/5   iterations 1150/2000   F1 0.5484611641992087   accuracy 0.6795865633074936   precision 0.5461064761848159   recall 0.5586209884683799
deviation 5/5   iterations 1160/2000   F1 0.5571733183178759   accuracy 0.6925064599483204   precision 0.5664725961217031   recall 0.5602953233971807
deviation 5/5   iterations 1170/2000   F1 0.5588700217012593   accuracy 0.6847545219638242   precision 0.5582771020472486   recall 0.5658519133025225
deviation 5/5   iterations 1180/2000   F1 0.5634667934120001   accuracy 0.6950904392764858   precision 0.5611566929146609   recall 0.5704634053740879
deviation 5/5   iterations 1190/2000   F1 0.5589834364204269   accuracy 0.6950904392764858   precision 0.5597810291653414   recall 0.558494325026917
deviation 5/5   iterations 1200/2000   F1 0.5626258186416118   accuracy 0.6873385012919897   precision 0.5616215987512573   recall 0.5675773235219586
deviation 5/5   iterations 1210/2000   F1 0.5829369708509637   accuracy 0.7093023255813954   precision 0.5801326333241227   recall 0.5869363753546883
update
deviation 5/5   iterations 1220/2000   F1 0.5485453295582975   accuracy 0.6744186046511628   precision 0.5454409676371644   recall 0.5553237628240586
deviation 5/5   iterations 1230/2000   F1 0.547387777978243   accuracy 0.6731266149870802   precision 0.5444513755704353   recall 0.5538340121919916
deviation 5/5   iterations 1240/2000   F1 0.5698912962993062   accuracy 0.7002583979328165   precision 0.5806692236429621   recall 0.5714382629678975
deviation 5/5   iterations 1250/2000   F1 0.5739130185631374   accuracy 0.686046511627907   precision 0.5699175824175824   recall 0.588364351939414
deviation 5/5   iterations 1260/2000   F1 0.5385750509976296   accuracy 0.6937984496124031   precision 0.5556624720244091   recall 0.528929069210626
deviation 5/5   iterations 1270/2000   F1 0.5554397950769956   accuracy 0.6976744186046512   precision 0.559587604147935   recall 0.5519628775277657
deviation 5/5   iterations 1280/2000   F1 0.5235010915887229   accuracy 0.6291989664082688   precision 0.5211978019737379   recall 0.5449707276277724
deviation 5/5   iterations 1290/2000   F1 0.5297695877447581   accuracy 0.6356589147286822   precision 0.5262144788079683   recall 0.5510296262100356
deviation 5/5   iterations 1300/2000   F1 0.5526647692393549   accuracy 0.6718346253229974   precision 0.5464776293962502   recall 0.566042605318602
deviation 5/5   iterations 1310/2000   F1 0.5551025541166422   accuracy 0.6950904392764858   precision 0.5544445694224138   recall 0.5574260480211031
deviation 5/5   iterations 1320/2000   F1 0.5481885336075408   accuracy 0.6757105943152455   precision 0.5441292784389019   recall 0.554151736572179
deviation 5/5   iterations 1330/2000   F1 0.5362777211181246   accuracy 0.6718346253229974   precision 0.5411896551724138   recall 0.5371024684286249
deviation 5/5   iterations 1340/2000   F1 0.5511459425652215   accuracy 0.6912144702842378   precision 0.5525196641379214   recall 0.5502271374742687
deviation 5/5   iterations 1350/2000   F1 0.5501241058252809   accuracy 0.6757105943152455   precision 0.547440839982917   recall 0.5584070133342581
deviation 5/5   iterations 1360/2000   F1 0.5293904471986663   accuracy 0.6757105943152455   precision 0.5303761629487771   recall 0.5312640216224742
deviation 5/5   iterations 1370/2000   F1 0.5568214334573188   accuracy 0.7080103359173127   precision 0.5729715762273903   recall 0.562287382706169
deviation 5/5   iterations 1380/2000   F1 0.5814696594641879   accuracy 0.7131782945736435   precision 0.5922980264065535   recall 0.5818946784876041
deviation 5/5   iterations 1390/2000   F1 0.5564601822120976   accuracy 0.6886304909560723   precision 0.557990276263177   recall 0.5617427299078784
deviation 5/5   iterations 1400/2000   F1 0.5553230984843126   accuracy 0.6770025839793282   precision 0.5491981917967769   recall 0.5687467263239179
deviation 5/5   iterations 1410/2000   F1 0.5474274986065487   accuracy 0.661498708010336   precision 0.5464340741655929   recall 0.5629567313584821
deviation 5/5   iterations 1420/2000   F1 0.5402750336606102   accuracy 0.6744186046511628   precision 0.5425944170771757   recall 0.5445408917548986
deviation 5/5   iterations 1430/2000   F1 0.527801414792553   accuracy 0.6834625322997416   precision 0.5314517916389626   recall 0.5368797621252371
deviation 5/5   iterations 1440/2000   F1 0.549686913786758   accuracy 0.6963824289405685   precision 0.5578597209709734   recall 0.5552536265300964
deviation 5/5   iterations 1450/2000   F1 0.535419471414928   accuracy 0.6666666666666666   precision 0.532143633796666   recall 0.5439092961865941
deviation 5/5   iterations 1460/2000   F1 0.5390569925912007   accuracy 0.6770025839793282   precision 0.541509165605225   recall 0.5501142881362922
deviation 5/5   iterations 1470/2000   F1 0.5385916597197412   accuracy 0.6821705426356589   precision 0.5444973052099275   recall 0.5425107104392565
deviation 5/5   iterations 1480/2000   F1 0.5333088498290195   accuracy 0.686046511627907   precision 0.5470491261339353   recall 0.5332137368100932
deviation 5/5   iterations 1490/2000   F1 0.5407673302538364   accuracy 0.686046511627907   precision 0.5568472241266359   recall 0.5479124758078976
deviation 5/5   iterations 1500/2000   F1 0.5436338092774581   accuracy 0.6834625322997416   precision 0.5410263551365097   recall 0.5468658832553307
deviation 5/5   iterations 1510/2000   F1 0.5262921306399567   accuracy 0.6550387596899225   precision 0.5246449526537454   recall 0.5318913950760632
deviation 5/5   iterations 1520/2000   F1 0.5184699250160901   accuracy 0.6395348837209303   precision 0.5146776272004637   recall 0.5320180585175261
deviation 5/5   iterations 1530/2000   F1 0.5392290394205737   accuracy 0.6627906976744186   precision 0.5340163478848599   recall 0.5506802564651849
deviation 5/5   iterations 1540/2000   F1 0.536691864068774   accuracy 0.6692506459948321   precision 0.540028304771842   recall 0.5451595340392217
deviation 5/5   iterations 1550/2000   F1 0.5349011874538387   accuracy 0.6937984496124031   precision 0.5519298972687351   recall 0.5398298725519831
deviation 5/5   iterations 1560/2000   F1 0.5270680071476449   accuracy 0.6782945736434108   precision 0.5287675041115308   recall 0.5265976010682033
deviation 5/5   iterations 1570/2000   F1 0.5165595871702612   accuracy 0.6421188630490956   precision 0.5144886193331804   recall 0.5282841514356953
deviation 5/5   iterations 1580/2000   F1 0.5342657420465704   accuracy 0.6821705426356589   precision 0.5355681999045042   recall 0.5331355252093452
deviation 5/5   iterations 1590/2000   F1 0.5368762275299114   accuracy 0.6731266149870802   precision 0.5357940779789808   recall 0.5395926142998189
deviation 5/5   iterations 1600/2000   F1 0.5450749846172499   accuracy 0.6834625322997416   precision 0.5431279687910577   recall 0.5485951466668372
deviation 5/5   iterations 1610/2000   F1 0.5273026590098916   accuracy 0.6847545219638242   precision 0.5290373187412492   recall 0.5307235909388991
deviation 5/5   iterations 1620/2000   F1 0.5176569326683627   accuracy 0.6498708010335917   precision 0.5165863017923443   recall 0.5312381150545116
deviation 5/5   iterations 1630/2000   F1 0.5153717145612975   accuracy 0.6408268733850129   precision 0.5150050276584495   recall 0.5333720456162193
deviation 5/5   iterations 1640/2000   F1 0.5008896774521775   accuracy 0.6563307493540051   precision 0.5077372212885565   recall 0.5135446669813167
deviation 5/5   iterations 1650/2000   F1 0.5181626450652675   accuracy 0.6808785529715762   precision 0.5252813852813852   recall 0.5284409435598363
deviation 5/5   iterations 1660/2000   F1 0.5119616342246426   accuracy 0.6576227390180879   precision 0.5106958558489687   recall 0.5137803265686857
deviation 5/5   iterations 1670/2000   F1 0.524464196991039   accuracy 0.6744186046511628   precision 0.5320039337583197   recall 0.5194665722880557
deviation 5/5   iterations 1680/2000   F1 0.5281279780497067   accuracy 0.6731266149870802   precision 0.5355916342392582   recall 0.5268267840135815
deviation 5/5   iterations 1690/2000   F1 0.5350919860058371   accuracy 0.7028423772609819   precision 0.5606076868867567   recall 0.5232687300592186
deviation 5/5   iterations 1700/2000   F1 0.52948686491479   accuracy 0.6886304909560723   precision 0.5305724558224943   recall 0.5294119479615752
deviation 5/5   iterations 1710/2000   F1 0.5279442299311697   accuracy 0.6718346253229974   precision 0.5286570985782629   recall 0.5276594014320265
deviation 5/5   iterations 1720/2000   F1 0.5253380531285751   accuracy 0.6808785529715762   precision 0.5254589719193289   recall 0.5269832072150775
deviation 5/5   iterations 1730/2000   F1 0.5271880043662479   accuracy 0.6808785529715762   precision 0.535862520665385   recall 0.5372230241507422
deviation 5/5   iterations 1740/2000   F1 0.531498153924253   accuracy 0.6705426356589147   precision 0.5356752612171779   recall 0.5422582443758358
deviation 5/5   iterations 1750/2000   F1 0.5337349772713121   accuracy 0.6627906976744186   precision 0.530306197737334   recall 0.5435595575190986
deviation 5/5   iterations 1760/2000   F1 0.5554475572400511   accuracy 0.6886304909560723   precision 0.5521208209461221   recall 0.5618106116745653
deviation 5/5   iterations 1770/2000   F1 0.5635929037028452   accuracy 0.7118863049095607   precision 0.5739554363420685   recall 0.5577208582058931
deviation 5/5   iterations 1780/2000   F1 0.5572376757179779   accuracy 0.7067183462532299   precision 0.576515128400712   recall 0.5513545650775037
deviation 5/5   iterations 1790/2000   F1 0.5492686374467937   accuracy 0.6950904392764858   precision 0.5557294170483816   recall 0.5571545209543554
deviation 5/5   iterations 1800/2000   F1 0.5390381537053875   accuracy 0.6731266149870802   precision 0.5353038105840136   recall 0.544848286301025
deviation 5/5   iterations 1810/2000   F1 0.5328770266161741   accuracy 0.6718346253229974   precision 0.5285995938332188   recall 0.5413577451907039
deviation 5/5   iterations 1820/2000   F1 0.5472717632634125   accuracy 0.7015503875968992   precision 0.5494191549830695   recall 0.548514680538814
deviation 5/5   iterations 1830/2000   F1 0.534312436011183   accuracy 0.6950904392764858   precision 0.5489437824790828   recall 0.5294184246035659
deviation 5/5   iterations 1840/2000   F1 0.5261133964886392   accuracy 0.6744186046511628   precision 0.524205620497784   recall 0.5305031391627866
deviation 5/5   iterations 1850/2000   F1 0.5244582515544266   accuracy 0.6692506459948321   precision 0.5227796795511814   recall 0.528663649863224
deviation 5/5   iterations 1860/2000   F1 0.5310139573745142   accuracy 0.6937984496124031   precision 0.5357678724969975   recall 0.5329128189059574
deviation 5/5   iterations 1870/2000   F1 0.5572236628382231   accuracy 0.6873385012919897   precision 0.5578539565652786   recall 0.5570659795195463
deviation 5/5   iterations 1880/2000   F1 0.5546709144063994   accuracy 0.6912144702842378   precision 0.5566629798859828   recall 0.5529567961249021
deviation 5/5   iterations 1890/2000   F1 0.5329466726162286   accuracy 0.6808785529715762   precision 0.5313504045504834   recall 0.5349685378669172
deviation 5/5   iterations 1900/2000   F1 0.5434627715925713   accuracy 0.7028423772609819   precision 0.547427294456157   recall 0.5414259958800359
deviation 5/5   iterations 1910/2000   F1 0.5399752923911547   accuracy 0.7054263565891473   precision 0.565912053082141   recall 0.5382851934372105
deviation 5/5   iterations 1920/2000   F1 0.5465052836309995   accuracy 0.661498708010336   precision 0.5415835744113126   recall 0.5607701268413442
deviation 5/5   iterations 1930/2000   F1 0.5470683308604743   accuracy 0.6821705426356589   precision 0.5469724735569805   recall 0.5471732778014572
deviation 5/5   iterations 1940/2000   F1 0.5391980486756839   accuracy 0.6770025839793282   precision 0.5397604225595528   recall 0.5392134847949351
deviation 5/5   iterations 1950/2000   F1 0.5446294553857579   accuracy 0.6770025839793282   precision 0.5447568133917483   recall 0.5503179334363529
deviation 5/5   iterations 1960/2000   F1 0.5223260273538407   accuracy 0.6937984496124031   precision 0.5585234673463919   recall 0.5215368431977919
deviation 5/5   iterations 1970/2000   F1 0.5376217367442331   accuracy 0.6847545219638242   precision 0.5403019744483158   recall 0.5353861583010997
deviation 5/5   iterations 1980/2000   F1 0.5433017797258112   accuracy 0.689922480620155   precision 0.5488523690002355   recall 0.5406841744236752
deviation 5/5   iterations 1990/2000   F1 0.543330013752549   accuracy 0.6976744186046512   precision 0.556631575045409   recall 0.5369926114632136
deviation 5/5   iterations 2000/2000   F1 0.5382478608713542   accuracy 0.648578811369509   precision 0.5335980256254369   recall 0.5570950014342892

0.5482443304988194
