deviation 1/5   iterations 1/2000   F1 0.46823333934700434   accuracy 0.6923950056753689   precision 0.4712751595483554   recall 0.4830531178497987
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deviation 1/5   iterations 11/2000   F1 0.5182234702926396   accuracy 0.8320090805902384   precision 0.5175871379479627   recall 0.5270173453996984
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deviation 1/5   iterations 21/2000   F1 0.48742318124222905   accuracy 0.6106696935300795   precision 0.5648809523809524   recall 0.5286177515049153
deviation 1/5   iterations 31/2000   F1 0.46731398491961873   accuracy 0.5754824063564131   precision 0.5531418753068238   recall 0.5227585699418684
deviation 1/5   iterations 41/2000   F1 0.45338191769683417   accuracy 0.5357548240635641   precision 0.5717660775650466   recall 0.5301420633202404
deviation 1/5   iterations 51/2000   F1 0.42230333507146584   accuracy 0.4790011350737798   precision 0.5724901816396661   recall 0.531005249343832
deviation 1/5   iterations 61/2000   F1 0.45330272797378063   accuracy 0.5323496027241771   precision 0.57806823760432   recall 0.5327819006390435
deviation 1/5   iterations 71/2000   F1 0.4669291276707765   accuracy 0.5629965947786606   precision 0.5707596956308296   recall 0.529941627977025
deviation 1/5   iterations 81/2000   F1 0.4695340724279631   accuracy 0.5595913734392736   precision 0.5852970054000982   recall 0.5359574512116885
deviation 1/5   iterations 91/2000   F1 0.45751231527093605   accuracy 0.5368898978433598   precision 0.5847631320569465   recall 0.53559354353271
deviation 1/5   iterations 101/2000   F1 0.4986608420679597   accuracy 0.6208853575482406   precision 0.5830326460481099   recall 0.5367410665797763
deviation 1/5   iterations 111/2000   F1 0.48047151423357215   accuracy 0.5686719636776391   precision 0.6069219440353462   recall 0.5450735704972993
deviation 1/5   iterations 121/2000   F1 0.5267640241851094   accuracy 0.6719636776390465   precision 0.5955571919489445   recall 0.5455897507963275
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deviation 1/5   iterations 131/2000   F1 0.5287089871611983   accuracy 0.6935300794551645   precision 0.5789764359351988   recall 0.5403119714339409
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deviation 1/5   iterations 141/2000   F1 0.5170363498355401   accuracy 0.6458569807037458   precision 0.6013254786450662   recall 0.5459279038718291
deviation 1/5   iterations 151/2000   F1 0.5369037300975861   accuracy 0.70261066969353   precision 0.5882486499754541   recall 0.5456922627217732
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deviation 1/5   iterations 161/2000   F1 0.5370992157667027   accuracy 0.6946651532349603   precision 0.5960910652920962   recall 0.5482772015933111
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deviation 1/5   iterations 171/2000   F1 0.5157383964103839   accuracy 0.6311010215664018   precision 0.6176546391752578   recall 0.5517881259791475
deviation 1/5   iterations 181/2000   F1 0.5380803382663848   accuracy 0.6833144154370034   precision 0.6102356406480118   recall 0.5531737292650872
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deviation 1/5   iterations 191/2000   F1 0.547199514366653   accuracy 0.7116912599318955   precision 0.6016384388807069   recall 0.5531478629187524
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deviation 1/5   iterations 201/2000   F1 0.5517448132736282   accuracy 0.7264472190692395   precision 0.5976620029455081   recall 0.5537559954063366
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deviation 1/5   iterations 211/2000   F1 0.5343282069105338   accuracy 0.6685584562996595   precision 0.6183296514482082   recall 0.555052131510729
deviation 1/5   iterations 221/2000   F1 0.5354010167691023   accuracy 0.684449489216799   precision 0.602644820814924   recall 0.5499886436990461
deviation 1/5   iterations 231/2000   F1 0.5421402025867563   accuracy 0.699205448354143   precision 0.6027859597447226   recall 0.5518704323052149
deviation 1/5   iterations 241/2000   F1 0.5476644881511256   accuracy 0.7150964812712827   precision 0.599453853706431   recall 0.5526748569942798
deviation 1/5   iterations 251/2000   F1 0.544777904889048   accuracy 0.7082860385925085   precision 0.5997054491899853   recall 0.5517504968659226
deviation 1/5   iterations 261/2000   F1 0.5533297174928076   accuracy 0.7071509648127128   precision 0.6196489936180658   recall 0.5605159592297856
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deviation 1/5   iterations 271/2000   F1 0.5523241214723951   accuracy 0.7082860385925085   precision 0.6161757486499755   recall 0.5591625
deviation 1/5   iterations 281/2000   F1 0.55562267611671   accuracy 0.7128263337116912   precision 0.6187530682376043   recall 0.5610442375148258
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deviation 1/5   iterations 291/2000   F1 0.5516855340003444   accuracy 0.7048808172531215   precision 0.6183603338242514   recall 0.5595970831788407
deviation 1/5   iterations 301/2000   F1 0.5631452307792355   accuracy 0.7230419977298524   precision 0.6245520373097693   recall 0.5654598346169227
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deviation 1/5   iterations 311/2000   F1 0.5635624563141716   accuracy 0.7514188422247446   precision 0.5994845360824743   recall 0.5599405474954523
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deviation 1/5   iterations 321/2000   F1 0.566820347623237   accuracy 0.7468785471055619   precision 0.6092599410898379   recall 0.5635965538918734
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deviation 1/5   iterations 331/2000   F1 0.563409123159377   accuracy 0.7423382519863791   precision 0.6066826215022091   recall 0.5612890261443438
deviation 1/5   iterations 341/2000   F1 0.5629046934410897   accuracy 0.7332576617480137   precision 0.6138807069219441   recall 0.5626832398838073
deviation 1/5   iterations 351/2000   F1 0.5556999704792206   accuracy 0.720771850170261   precision 0.6109106529209622   recall 0.558896753085937
deviation 1/5   iterations 361/2000   F1 0.5633918348514106   accuracy 0.7366628830874007   precision 0.6116961217476682   recall 0.5623954476895653
deviation 1/5   iterations 371/2000   F1 0.5529312576917544   accuracy 0.7116912599318955   precision 0.6139911634756996   recall 0.5587364826408651
deviation 1/5   iterations 381/2000   F1 0.5559836771854525   accuracy 0.7185017026106697   precision 0.6137395679921454   recall 0.559777210160352
deviation 1/5   iterations 391/2000   F1 0.5646355435102967   accuracy 0.7468785471055619   precision 0.6051423662248404   recall 0.5616109313196692
deviation 1/5   iterations 401/2000   F1 0.5526587642042967   accuracy 0.7037457434733257   precision 0.6218335787923417   recall 0.5609437159275085
deviation 1/5   iterations 411/2000   F1 0.5548730222044941   accuracy 0.7196367763904654   precision 0.610266323024055   recall 0.5584015860634426
deviation 1/5   iterations 421/2000   F1 0.5620608307355296   accuracy 0.7321225879682179   precision 0.6132363770250369   recall 0.5621488905953199
deviation 1/5   iterations 431/2000   F1 0.5702364152685587   accuracy 0.7457434733257662   precision 0.6168507609229259   recall 0.566915464844958
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deviation 1/5   iterations 441/2000   F1 0.545595748227611   accuracy 0.7014755959137344   precision 0.6081921944035346   recall 0.5545986622073579
deviation 1/5   iterations 451/2000   F1 0.5711023544693439   accuracy 0.7468785471055619   precision 0.6174950908198331   recall 0.5675007755873311
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deviation 1/5   iterations 461/2000   F1 0.5720093578248654   accuracy 0.753688989784336   precision 0.6131259204712813   recall 0.5672035171116523
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deviation 1/5   iterations 471/2000   F1 0.5715339182993008   accuracy 0.7559591373439274   precision 0.6102970054000982   recall 0.5664551813892955
deviation 1/5   iterations 481/2000   F1 0.5499484110398356   accuracy 0.7128263337116912   precision 0.6064003436426117   recall 0.5554990077459829
deviation 1/5   iterations 491/2000   F1 0.568114177646329   accuracy 0.7604994324631101   precision 0.6005216003927344   recall 0.5628665070154432
deviation 1/5   iterations 501/2000   F1 0.5612190216808831   accuracy 0.7309875141884222   precision 0.6125920471281296   recall 0.5616184412025469
deviation 1/5   iterations 511/2000   F1 0.5620608307355296   accuracy 0.7321225879682179   precision 0.6132363770250369   recall 0.5621488905953199
deviation 1/5   iterations 521/2000   F1 0.5658291796527786   accuracy 0.7514188422247446   precision 0.6036021109474718   recall 0.5619787077826726
deviation 1/5   iterations 531/2000   F1 0.5711023544693439   accuracy 0.7468785471055619   precision 0.6174950908198331   recall 0.5675007755873311
deviation 1/5   iterations 541/2000   F1 0.5701459188326494   accuracy 0.757094211123723   precision 0.6068237604320079   recall 0.5650669058832324
deviation 1/5   iterations 551/2000   F1 0.5689757681464661   accuracy 0.7468785471055619   precision 0.6133775159548356   recall 0.5655595770349868
deviation 1/5   iterations 561/2000   F1 0.561728921485019   accuracy 0.7616345062429057   precision 0.588813205694649   recall 0.5571152328334649
deviation 1/5   iterations 571/2000   F1 0.5680647436112697   accuracy 0.7514188422247446   precision 0.6077196858124693   recall 0.563991892561863
deviation 1/5   iterations 581/2000   F1 0.557516228614899   accuracy 0.7287173666288309   precision 0.6071858124693177   recall 0.5586597619623331
deviation 1/5   iterations 591/2000   F1 0.5669597114385279   accuracy 0.771850170261067   precision 0.5904945999018164   recall 0.5610035575411599
deviation 1/5   iterations 601/2000   F1 0.5685401574698457   accuracy 0.7491486946651532   precision 0.6105486008836524   recall 0.5647788565264293
deviation 1/5   iterations 611/2000   F1 0.5701459188326494   accuracy 0.757094211123723   precision 0.6068237604320079   recall 0.5650669058832324
deviation 1/5   iterations 621/2000   F1 0.5728829993535876   accuracy 0.7548240635641317   precision 0.6137702503681886   recall 0.5678226514486392
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deviation 1/5   iterations 631/2000   F1 0.5623831229546516   accuracy 0.7298524404086265   precision 0.61606529209622   recall 0.562983682983683
deviation 1/5   iterations 641/2000   F1 0.57485476011994   accuracy 0.7661748013620885   precision 0.6078608247422681   recall 0.5682548928238583
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deviation 1/5   iterations 651/2000   F1 0.5657721796276014   accuracy 0.7343927355278093   precision 0.6186426116838488   recall 0.5651160597610099
deviation 1/5   iterations 661/2000   F1 0.5649734252675429   accuracy 0.7502837684449489   precision 0.6029577810505645   recall 0.5613769388352355
deviation 1/5   iterations 671/2000   F1 0.57485476011994   accuracy 0.7661748013620885   precision 0.6078608247422681   recall 0.5682548928238583
deviation 1/5   iterations 681/2000   F1 0.5754138167528591   accuracy 0.7639046538024972   precision 0.6106897398134512   recall 0.568958925895342
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deviation 1/5   iterations 691/2000   F1 0.5727153052033533   accuracy 0.7695800227014756   precision 0.6015586647029946   recall 0.5661291095945147
deviation 1/5   iterations 701/2000   F1 0.5759296952359996   accuracy 0.7616345062429057   precision 0.6135186548846343   recall 0.5696582419568622
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deviation 1/5   iterations 711/2000   F1 0.5758283863324132   accuracy 0.7832009080590239   precision 0.5969378988708886   recall 0.5684682732316227
deviation 1/5   iterations 721/2000   F1 0.5775340166636695   accuracy 0.7820658342792282   precision 0.6004111438389789   recall 0.5699070355623153
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deviation 1/5   iterations 731/2000   F1 0.5796269519953731   accuracy 0.775255391600454   precision 0.6088978890525282   recall 0.5718170781060299
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deviation 1/5   iterations 741/2000   F1 0.5744892000932331   accuracy 0.771850170261067   precision 0.602847324496809   recall 0.5675370728562218
deviation 1/5   iterations 751/2000   F1 0.5762754466993911   accuracy 0.7741203178206584   precision 0.6041359842906234   recall 0.5689736461330862
deviation 1/5   iterations 761/2000   F1 0.5678544483923739   accuracy 0.7763904653802497   precision 0.5889543446244477   recall 0.5616389427492602
deviation 1/5   iterations 771/2000   F1 0.5704683203773688   accuracy 0.7763904653802497   precision 0.5930719194894453   recall 0.5638933355800826
deviation 1/5   iterations 781/2000   F1 0.5733656174334141   accuracy 0.7673098751418842   precision 0.6043875797741777   recall 0.5668576773726989
deviation 1/5   iterations 791/2000   F1 0.5767336246308209   accuracy 0.7843359818388195   precision 0.5975822287677958   recall 0.5692607885154793
deviation 1/5   iterations 801/2000   F1 0.5746825443267599   accuracy 0.775255391600454   precision 0.6006627393225332   recall 0.5675562144798616
deviation 1/5   iterations 811/2000   F1 0.5810162418423523   accuracy 0.7832009080590239   precision 0.6051730486008837   recall 0.5728773344218798
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deviation 1/5   iterations 821/2000   F1 0.5791897758011786   accuracy 0.7809307604994324   precision 0.6038843888070693   recall 0.5713160333642261
deviation 1/5   iterations 831/2000   F1 0.5798862872164822   accuracy 0.7786606129398411   precision 0.6067133038782524   recall 0.5719367915942748
deviation 1/5   iterations 841/2000   F1 0.5749730065014128   accuracy 0.7854710556186152   precision 0.5941089837997054   recall 0.5677984084880636
deviation 1/5   iterations 851/2000   F1 0.5785547073791348   accuracy 0.7866061293984109   precision 0.5988708885616102   recall 0.5708730689376078
deviation 1/5   iterations 861/2000   F1 0.5804598149810687   accuracy 0.7922814982973894   precision 0.5979749631811487   recall 0.5728043775649795
deviation 1/5   iterations 871/2000   F1 0.5695862984403229   accuracy 0.7593643586833144   precision 0.6039948453608248   recall 0.5642954700660141
deviation 1/5   iterations 881/2000   F1 0.5757273359150035   accuracy 0.7797956867196367   precision 0.5991224840451644   recall 0.5683638056543084
deviation 1/5   iterations 891/2000   F1 0.5712895377128954   accuracy 0.7877412031782066   precision 0.5871624938635248   recall 0.5647697218422253
deviation 1/5   iterations 901/2000   F1 0.5734246385833852   accuracy 0.8013620885357549   precision 0.5825417280314188   recall 0.5680250434923333
deviation 1/5   iterations 911/2000   F1 0.5702552617857032   accuracy 0.7695800227014756   precision 0.597441089837997   recall 0.5639869439071566
deviation 1/5   iterations 921/2000   F1 0.5804761904761905   accuracy 0.7956867196367764   precision 0.5957903780068728   recall 0.5731353073463268
deviation 1/5   iterations 931/2000   F1 0.578575914271589   accuracy 0.7968217934165721   precision 0.5923171330387825   recall 0.5716804208199127
deviation 1/5   iterations 941/2000   F1 0.5722417128757   accuracy 0.7786606129398411   precision 0.5943605792832597   recall 0.5653850733068
deviation 1/5   iterations 951/2000   F1 0.5703955013280212   accuracy 0.7866061293984109   precision 0.5865181639666176   recall 0.5639526444706523
deviation 1/5   iterations 961/2000   F1 0.5731589147286821   accuracy 0.7866061293984109   precision 0.5906357388316151   recall 0.5663021618903972
deviation 1/5   iterations 971/2000   F1 0.5632197920984403   accuracy 0.7922814982973894   precision 0.5732695139911634   recall 0.5582245889168471
deviation 1/5   iterations 981/2000   F1 0.5731333293372496   accuracy 0.7797956867196367   precision 0.5950049091801669   recall 0.5661431720696549
deviation 1/5   iterations 991/2000   F1 0.5667574183303709   accuracy 0.7968217934165721   precision 0.5758468335787923   recall 0.5617394952946113
deviation 1/5   iterations 1001/2000   F1 0.5761959099655435   accuracy 0.8047673098751419   precision 0.5844747177221404   recall 0.5709529111001155
deviation 1/5   iterations 1011/2000   F1 0.5722608836381291   accuracy 0.7854710556186152   precision 0.5899914089347079   recall 0.5654933099912467
deviation 1/5   iterations 1021/2000   F1 0.5782997855710037   accuracy 0.8036322360953462   precision 0.5879479626902308   recall 0.5724804790225351
deviation 1/5   iterations 1031/2000   F1 0.5706909767849321   accuracy 0.7979568671963677   precision 0.5806087383406972   recall 0.5652169595869327
deviation 1/5   iterations 1041/2000   F1 0.5842289293605338   accuracy 0.8002270147559591   precision 0.5983676975945017   recall 0.5768161778800076
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deviation 1/5   iterations 1051/2000   F1 0.5731589147286821   accuracy 0.7866061293984109   precision 0.5906357388316151   recall 0.5663021618903972
deviation 1/5   iterations 1061/2000   F1 0.5567684567684568   accuracy 0.8047673098751419   precision 0.5597692685321551   recall 0.5544815858951985
deviation 1/5   iterations 1071/2000   F1 0.5647563019606774   accuracy 0.8149829738933031   precision 0.5655682376043201   recall 0.5639942983086579
deviation 1/5   iterations 1081/2000   F1 0.5721824413274685   accuracy 0.8036322360953462   precision 0.5797128129602356   recall 0.567386703187251
deviation 1/5   iterations 1091/2000   F1 0.5679863519310784   accuracy 0.8104426787741204   precision 0.5712260677466863   recall 0.5653989181879648
deviation 1/5   iterations 1101/2000   F1 0.5761959099655435   accuracy 0.8047673098751419   precision 0.5844747177221404   recall 0.5709529111001155
deviation 1/5   iterations 1111/2000   F1 0.5697878388590166   accuracy 0.7968217934165721   precision 0.5799644084437899   recall 0.5643061587050928
deviation 1/5   iterations 1121/2000   F1 0.5715981175669029   accuracy 0.7990919409761634   precision 0.5812530682376044   recall 0.5661401826210314
deviation 1/5   iterations 1131/2000   F1 0.5694515405291334   accuracy 0.8002270147559591   precision 0.5777798232695139   recall 0.5645038167938932
deviation 1/5   iterations 1141/2000   F1 0.5676476918882464   accuracy 0.8059023836549376   precision 0.572766323024055   recall 0.5640294606794963
deviation 1/5   iterations 1151/2000   F1 0.5679863519310784   accuracy 0.8104426787741204   precision 0.5712260677466863   recall 0.5653989181879648
deviation 1/5   iterations 1161/2000   F1 0.5646061014982968   accuracy 0.8104426787741204   precision 0.5671084928816887   recall 0.5625357396097806
deviation 1/5   iterations 1171/2000   F1 0.5656664637857578   accuracy 0.8161180476730987   precision 0.5662125675012273   recall 0.5651428433432345
deviation 1/5   iterations 1181/2000   F1 0.569820399683946   accuracy 0.8127128263337117   precision 0.5725147275405007   recall 0.5675735950044604
deviation 1/5   iterations 1191/2000   F1 0.5634794432153392   accuracy 0.8047673098751419   precision 0.5680044182621502   recall 0.5602544584602
deviation 1/5   iterations 1201/2000   F1 0.5658672798948752   accuracy 0.7956867196367764   precision 0.5752025036818851   recall 0.5608430145963659
deviation 1/5   iterations 1211/2000   F1 0.5694672160774958   accuracy 0.8081725312145289   precision 0.5740549828178694   recall 0.5660753394656154
deviation 1/5   iterations 1221/2000   F1 0.5666557012390934   accuracy 0.8217934165720772   precision 0.5653166421207658   recall 0.5681434058898848
deviation 1/5   iterations 1231/2000   F1 0.5648166270562468   accuracy 0.8195232690124858   precision 0.5640279823269514   recall 0.5656573283999093
deviation 1/5   iterations 1241/2000   F1 0.5647801989412323   accuracy 0.8240635641316686   precision 0.5624877270495827   recall 0.5675623673036093
deviation 1/5   iterations 1251/2000   F1 0.5661704502078981   accuracy 0.8081725312145289   precision 0.5699374079528718   recall 0.5632927560699291
deviation 1/5   iterations 1261/2000   F1 0.5691697457074548   accuracy 0.8161180476730987   precision 0.5703301423662248   recall 0.5681002519370633
deviation 1/5   iterations 1271/2000   F1 0.5673302668774856   accuracy 0.8138479001135074   precision 0.5690414825724104   recall 0.5658184158184159
deviation 1/5   iterations 1281/2000   F1 0.5652691343117221   accuracy 0.8070374574347332   precision 0.5692930780559646   recall 0.5622642757890558
deviation 1/5   iterations 1291/2000   F1 0.5619223119223119   accuracy 0.8070374574347332   precision 0.5651755031909671   recall 0.5594095404304829
deviation 1/5   iterations 1301/2000   F1 0.5573801571678195   accuracy 0.8195232690124858   precision 0.5557928325969563   recall 0.5592436208199755
deviation 1/5   iterations 1311/2000   F1 0.5729074619538537   accuracy 0.8206583427922814   precision 0.5729074619538537   recall 0.5729074619538537
deviation 1/5   iterations 1321/2000   F1 0.5754980958573286   accuracy 0.811577752553916   precision 0.5801055473735885   recall 0.5719799730915989
deviation 1/5   iterations 1331/2000   F1 0.5665814136117655   accuracy 0.8172531214528944   precision 0.5668568973981345   recall 0.5663116250760803
deviation 1/5   iterations 1341/2000   F1 0.5646061014982968   accuracy 0.8104426787741204   precision 0.5671084928816887   recall 0.5625357396097806
deviation 1/5   iterations 1351/2000   F1 0.571965495430253   accuracy 0.8195232690124858   precision 0.5722631320569465   recall 0.5716737674984784
deviation 1/5   iterations 1361/2000   F1 0.5729074619538537   accuracy 0.8206583427922814   precision 0.5729074619538537   recall 0.5729074619538537
deviation 1/5   iterations 1371/2000   F1 0.5664176099503377   accuracy 0.8127128263337117   precision 0.5683971526755032   recall 0.5647060189485417
deviation 1/5   iterations 1381/2000   F1 0.5664176099503377   accuracy 0.8127128263337117   precision 0.5683971526755032   recall 0.5647060189485417
deviation 1/5   iterations 1391/2000   F1 0.5685152475535347   accuracy 0.8240635641316686   precision 0.5666053019145803   recall 0.5707248416608023
deviation 1/5   iterations 1401/2000   F1 0.5684259821244265   accuracy 0.8195232690124858   precision 0.5681455571919489   recall 0.5687122562122562
deviation 1/5   iterations 1411/2000   F1 0.5703959383097326   accuracy 0.8263337116912599   precision 0.5678939617083947   recall 0.5734076433121019
deviation 1/5   iterations 1421/2000   F1 0.5672179466186343   accuracy 0.8365493757094211   precision 0.561340206185567   recall 0.5771296296296297
deviation 1/5   iterations 1431/2000   F1 0.5700967154335526   accuracy 0.8172531214528944   precision 0.570974472263132   recall 0.5692707584686886
deviation 1/5   iterations 1441/2000   F1 0.5657336461427109   accuracy 0.8206583427922814   precision 0.5646723122238586   recall 0.566888804265042
deviation 1/5   iterations 1451/2000   F1 0.5713628234799074   accuracy 0.8320090805902384   precision 0.5669980363279332   recall 0.5774458063783907
deviation 1/5   iterations 1461/2000   F1 0.5685552636430679   accuracy 0.8070374574347332   precision 0.5734106529209622   recall 0.5650445846020009
deviation 1/5   iterations 1471/2000   F1 0.5703959383097326   accuracy 0.8263337116912599   precision 0.5678939617083947   recall 0.5734076433121019
deviation 1/5   iterations 1481/2000   F1 0.5675828739711546   accuracy 0.8229284903518729   precision 0.565960972017673   recall 0.569421839882198
deviation 1/5   iterations 1491/2000   F1 0.5694542184689968   accuracy 0.8297389330306469   precision 0.5657093765341188   recall 0.5744748921964111
deviation 1/5   iterations 1501/2000   F1 0.5640077935471368   accuracy 0.8376844494892168   precision 0.5578669612174767   recall 0.575278602675863
deviation 1/5   iterations 1511/2000   F1 0.5673302668774856   accuracy 0.8138479001135074   precision 0.5690414825724104   recall 0.5658184158184159
deviation 1/5   iterations 1521/2000   F1 0.5685084575339355   accuracy 0.8286038592508513   precision 0.5650650466372116   recall 0.5730354879594424
deviation 1/5   iterations 1531/2000   F1 0.5681742617696961   accuracy 0.8376844494892168   precision 0.5619845360824742   recall 0.578815543071161
deviation 1/5   iterations 1541/2000   F1 0.5691697457074548   accuracy 0.8161180476730987   precision 0.5703301423662248   recall 0.5681002519370633
deviation 1/5   iterations 1551/2000   F1 0.5655095783619337   accuracy 0.811577752553916   precision 0.567752822778596   recall 0.563611956120944
deviation 1/5   iterations 1561/2000   F1 0.5648166270562468   accuracy 0.8195232690124858   precision 0.5640279823269514   recall 0.5656573283999093
deviation 1/5   iterations 1571/2000   F1 0.5684259821244265   accuracy 0.8195232690124858   precision 0.5681455571919489   recall 0.5687122562122562
deviation 1/5   iterations 1581/2000   F1 0.5602852049910874   accuracy 0.8331441543700341   precision 0.5552896416298478   recall 0.568759730150493
deviation 1/5   iterations 1591/2000   F1 0.5612070847661154   accuracy 0.8342792281498297   precision 0.555933971526755   recall 0.5703317901234568
deviation 1/5   iterations 1601/2000   F1 0.5789480482575111   accuracy 0.8320090805902384   precision 0.5752331860579283   recall 0.5836471808307406
deviation 1/5   iterations 1611/2000   F1 0.5621347409552863   accuracy 0.8354143019296254   precision 0.5565783014236623   recall 0.5719413233458177
deviation 1/5   iterations 1621/2000   F1 0.5625496538417887   accuracy 0.8410896708286039   precision 0.5556823760432008   recall 0.5769191645191917
deviation 1/5   iterations 1631/2000   F1 0.572250233426704   accuracy 0.8376844494892168   precision 0.5661021109474718   recall 0.582206416557282
deviation 1/5   iterations 1641/2000   F1 0.5691697457074548   accuracy 0.8161180476730987   precision 0.5703301423662248   recall 0.5681002519370633
deviation 1/5   iterations 1651/2000   F1 0.5674495753715498   accuracy 0.8320090805902384   precision 0.5628804614629357   recall 0.5741697790903038
deviation 1/5   iterations 1661/2000   F1 0.567827863790201   accuracy 0.8422247446083996   precision 0.5604442808051056   recall 0.5824709467832144
deviation 1/5   iterations 1671/2000   F1 0.5683977591223117   accuracy 0.8331441543700341   precision 0.5635247913598429   recall 0.5757057188825508
deviation 1/5   iterations 1681/2000   F1 0.5634525244408731   accuracy 0.8320090805902384   precision 0.5587628865979382   recall 0.5707655926692285
deviation 1/5   iterations 1691/2000   F1 0.5634525244408731   accuracy 0.8320090805902384   precision 0.5587628865979382   recall 0.5707655926692285
deviation 1/5   iterations 1701/2000   F1 0.567827863790201   accuracy 0.8422247446083996   precision 0.5604442808051056   recall 0.5824709467832144
deviation 1/5   iterations 1711/2000   F1 0.5672179466186343   accuracy 0.8365493757094211   precision 0.561340206185567   recall 0.5771296296296297
deviation 1/5   iterations 1721/2000   F1 0.5662677192088956   accuracy 0.8354143019296254   precision 0.5606958762886598   recall 0.5754830733538875
deviation 1/5   iterations 1731/2000   F1 0.5655704292026089   accuracy 0.8297389330306469   precision 0.5615918016691213   recall 0.5711965157189877
deviation 1/5   iterations 1741/2000   F1 0.5662677192088956   accuracy 0.8354143019296254   precision 0.5606958762886598   recall 0.5754830733538875
deviation 1/5   iterations 1751/2000   F1 0.5713444302176697   accuracy 0.8274687854710556   precision 0.5685382916053019   recall 0.5747890719164324
deviation 1/5   iterations 1761/2000   F1 0.5625496538417887   accuracy 0.8410896708286039   precision 0.5556823760432008   recall 0.5769191645191917
deviation 1/5   iterations 1771/2000   F1 0.5703118430391159   accuracy 0.8354143019296254   precision 0.5648134511536573   recall 0.5788821174643006
deviation 1/5   iterations 1781/2000   F1 0.5762385762385762   accuracy 0.8376844494892168   precision 0.5702196858124693   recall 0.5854618509888272
deviation 1/5   iterations 1791/2000   F1 0.5740461679083277   accuracy 0.8444948921679909   precision 0.5658505154639175   recall 0.5898472822264644
deviation 1/5   iterations 1801/2000   F1 0.5703118430391159   accuracy 0.8354143019296254   precision 0.5648134511536573   recall 0.5788821174643006
deviation 1/5   iterations 1811/2000   F1 0.5655704292026089   accuracy 0.8297389330306469   precision 0.5615918016691213   recall 0.5711965157189877
deviation 1/5   iterations 1821/2000   F1 0.5649534010293504   accuracy 0.8388195232690124   precision 0.5585112911143839   recall 0.5770094333527169
deviation 1/5   iterations 1831/2000   F1 0.5703959383097326   accuracy 0.8263337116912599   precision 0.5678939617083947   recall 0.5734076433121019
deviation 1/5   iterations 1841/2000   F1 0.5649534010293504   accuracy 0.8388195232690124   precision 0.5585112911143839   recall 0.5770094333527169
deviation 1/5   iterations 1851/2000   F1 0.5653234745464868   accuracy 0.8342792281498297   precision 0.5600515463917526   recall 0.5738744451490171
deviation 1/5   iterations 1861/2000   F1 0.5609686307416802   accuracy 0.8240635641316686   precision 0.5583701521845852   recall 0.5642893833301792
deviation 1/5   iterations 1871/2000   F1 0.5612070847661154   accuracy 0.8342792281498297   precision 0.555933971526755   recall 0.5703317901234568
deviation 1/5   iterations 1881/2000   F1 0.5685084575339355   accuracy 0.8286038592508513   precision 0.5650650466372116   recall 0.5730354879594424
deviation 1/5   iterations 1891/2000   F1 0.5733335836164661   accuracy 0.8535754824063564   precision 0.5627700049091802   recall 0.6007227539485605
deviation 1/5   iterations 1901/2000   F1 0.5634525244408731   accuracy 0.8320090805902384   precision 0.5587628865979382   recall 0.5707655926692285
deviation 1/5   iterations 1911/2000   F1 0.5664176099503377   accuracy 0.8127128263337117   precision 0.5683971526755032   recall 0.5647060189485417
deviation 1/5   iterations 1921/2000   F1 0.5662677192088956   accuracy 0.8354143019296254   precision 0.5606958762886598   recall 0.5754830733538875
deviation 1/5   iterations 1931/2000   F1 0.5584583766401948   accuracy 0.8308740068104427   precision 0.5540009818360334   recall 0.5657226504152476
deviation 1/5   iterations 1941/2000   F1 0.5707612060071077   accuracy 0.8456299659477866   precision 0.5623772704958272   recall 0.5883759346200661
deviation 1/5   iterations 1951/2000   F1 0.5712779474979048   accuracy 0.8365493757094211   precision 0.5654577810505645   recall 0.5805251079505994
deviation 1/5   iterations 1961/2000   F1 0.57175263300027   accuracy 0.8467650397275823   precision 0.5630216003927344   recall 0.5904527038929012
deviation 1/5   iterations 1971/2000   F1 0.5683977591223117   accuracy 0.8331441543700341   precision 0.5635247913598429   recall 0.5757057188825508
deviation 1/5   iterations 1981/2000   F1 0.5681742617696961   accuracy 0.8376844494892168   precision 0.5619845360824742   recall 0.578815543071161
deviation 1/5   iterations 1991/2000   F1 0.5646392747860521   accuracy 0.8286038592508513   precision 0.560947471772214   recall 0.5697569883410591

deviation 2/5   iterations 1/2000   F1 0.5352424384682449   accuracy 0.8568181818181818   precision 0.5317357910906299   recall 0.571754049623517
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deviation 2/5   iterations 11/2000   F1 0.40418598117713167   accuracy 0.45227272727272727   precision 0.5614132104454685   recall 0.5268142186452045
deviation 2/5   iterations 21/2000   F1 0.5238762574970863   accuracy 0.6534090909090909   precision 0.6097388632872505   recall 0.5501054852320675
deviation 2/5   iterations 31/2000   F1 0.414773315410128   accuracy 0.46704545454545454   precision 0.569800307219662   recall 0.5301460597826086
deviation 2/5   iterations 41/2000   F1 0.40570615470982874   accuracy 0.44772727272727275   precision 0.5835330261136713   recall 0.5370639970774105
deviation 2/5   iterations 51/2000   F1 0.4620674025966281   accuracy 0.5340909090909091   precision 0.6078648233486943   recall 0.545377938386298
deviation 2/5   iterations 61/2000   F1 0.41650439803934736   accuracy 0.46136363636363636   precision 0.5953917050691244   recall 0.5418872322859501
deviation 2/5   iterations 71/2000   F1 0.40395507224094446   accuracy 0.44431818181818183   precision 0.5857142857142857   recall 0.5382476804632493
deviation 2/5   iterations 81/2000   F1 0.4082126780938166   accuracy 0.4511363636363636   precision 0.5854685099846391   recall 0.537799734776843
deviation 2/5   iterations 91/2000   F1 0.4514444546634375   accuracy 0.5147727272727273   precision 0.609247311827957   recall 0.5462288875946418
deviation 2/5   iterations 101/2000   F1 0.452250146113384   accuracy 0.5159090909090909   precision 0.6098924731182795   recall 0.5464847303443795
deviation 2/5   iterations 111/2000   F1 0.4559010729223495   accuracy 0.5170454545454546   precision 0.6228878648233487   recall 0.5520833333333334
deviation 2/5   iterations 121/2000   F1 0.4453879714424765   accuracy 0.5011363636363636   precision 0.6179723502304147   recall 0.5504032258064516
deviation 2/5   iterations 131/2000   F1 0.49954504094631486   accuracy 0.5909090909090909   precision 0.631889400921659   recall 0.5559220296062402
deviation 2/5   iterations 141/2000   F1 0.41146015724242113   accuracy 0.4465909090909091   precision 0.6199385560675883   recall 0.5544642857142856
deviation 2/5   iterations 151/2000   F1 0.5078900851679254   accuracy 0.6045454545454545   precision 0.6355145929339479   recall 0.5578643578643578
deviation 2/5   iterations 161/2000   F1 0.4687841006709851   accuracy 0.5272727272727272   precision 0.653394777265745   recall 0.565097444081126
deviation 2/5   iterations 171/2000   F1 0.5051423738108407   accuracy 0.5875   precision 0.6587711213517665   recall 0.5669346816976127
deviation 2/5   iterations 181/2000   F1 0.46952753704221417   accuracy 0.5295454545454545   precision 0.650568356374808   recall 0.5637888577095882
deviation 2/5   iterations 191/2000   F1 0.48142857142857143   accuracy 0.55   precision 0.6498310291858679   recall 0.5630510665804783
deviation 2/5   iterations 201/2000   F1 0.5336700675480784   accuracy 0.6409090909090909   precision 0.6561597542242703   recall 0.5683085077218313
deviation 2/5   iterations 211/2000   F1 0.5179622310057093   accuracy 0.6102272727272727   precision 0.6593241167434716   recall 0.5678440607012035
deviation 2/5   iterations 221/2000   F1 0.5203624044543371   accuracy 0.6204545454545455   precision 0.6486635944700461   recall 0.5639703666100861
deviation 2/5   iterations 231/2000   F1 0.5017896830038602   accuracy 0.5875   precision 0.6464208909370199   recall 0.5618318629994811
deviation 2/5   iterations 241/2000   F1 0.497837091578463   accuracy 0.5772727272727273   precision 0.6529646697388634   recall 0.5643697478991596
deviation 2/5   iterations 251/2000   F1 0.51434258881176   accuracy 0.6068181818181818   precision 0.6532718894009217   recall 0.5652330817629799
deviation 2/5   iterations 261/2000   F1 0.5067685796307595   accuracy 0.5897727272727272   precision 0.6600614439324117   recall 0.5675136323111691
deviation 2/5   iterations 271/2000   F1 0.5661963574350161   accuracy 0.7056818181818182   precision 0.6517665130568356   recall 0.5740834053172089
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deviation 2/5   iterations 281/2000   F1 0.5358776132404182   accuracy 0.6477272727272727   precision 0.6517972350230414   recall 0.567063537306383
deviation 2/5   iterations 291/2000   F1 0.5239277235725788   accuracy 0.6136363636363636   precision 0.6736098310291858   recall 0.5738148606778793
deviation 2/5   iterations 301/2000   F1 0.5383261417524672   accuracy 0.6511363636363636   precision 0.6537327188940092   recall 0.5681372549019608
deviation 2/5   iterations 311/2000   F1 0.5437033734129859   accuracy 0.6511363636363636   precision 0.670199692780338   recall 0.5748098695013395
deviation 2/5   iterations 321/2000   F1 0.5367459625524141   accuracy 0.6397727272727273   precision 0.6678648233486943   recall 0.5729700854700854
deviation 2/5   iterations 331/2000   F1 0.5244785474981087   accuracy 0.6193181818181818   precision 0.6644854070660522   recall 0.5703599739271221
deviation 2/5   iterations 341/2000   F1 0.5483426186439099   accuracy 0.6556818181818181   precision 0.6768970814132105   recall 0.5779101989565066
deviation 2/5   iterations 351/2000   F1 0.5649915245249509   accuracy 0.6875   precision 0.6743778801843319   recall 0.5805444555444556
deviation 2/5   iterations 361/2000   F1 0.5066265258912712   accuracy 0.5943181818181819   precision 0.6502918586789554   recall 0.5635972210666444
deviation 2/5   iterations 371/2000   F1 0.5252953983112714   accuracy 0.6204545454545455   precision 0.6651305683563749   recall 0.570679416575934
deviation 2/5   iterations 381/2000   F1 0.5371913947765341   accuracy 0.6386363636363637   precision 0.671336405529954   recall 0.5742922454721294
deviation 2/5   iterations 391/2000   F1 0.5611924119241192   accuracy 0.6863636363636364   precision 0.6654992319508448   recall 0.576792587312901
deviation 2/5   iterations 401/2000   F1 0.5616850773692249   accuracy 0.6931818181818182   precision 0.6570199692780339   recall 0.5742916780529214
deviation 2/5   iterations 411/2000   F1 0.5562279374684821   accuracy 0.6681818181818182   precision 0.6798771121351767   recall 0.5803591525712184
deviation 2/5   iterations 421/2000   F1 0.5121545199989321   accuracy 0.5988636363636364   precision 0.6611059907834101   recall 0.5681733089275314
deviation 2/5   iterations 431/2000   F1 0.5506800142346552   accuracy 0.6625   precision 0.6725345622119816   recall 0.576811974789916
deviation 2/5   iterations 441/2000   F1 0.561827826521496   accuracy 0.6852272727272727   precision 0.6689708141321045   recall 0.5780469530469531
deviation 2/5   iterations 451/2000   F1 0.5359679080609313   accuracy 0.6352272727272728   precision 0.6735176651305683   recall 0.5749405570652174
deviation 2/5   iterations 461/2000   F1 0.560769808703693   accuracy 0.6761363636363636   precision 0.6802764976958525   recall 0.5814348521183054
deviation 2/5   iterations 471/2000   F1 0.5644638552186462   accuracy 0.6829545454545455   precision 0.6800307219662058   recall 0.5821999281802676
deviation 2/5   iterations 481/2000   F1 0.5475088630889556   accuracy 0.6545454545454545   precision 0.6762519201228878   recall 0.5775475666527892
deviation 2/5   iterations 491/2000   F1 0.567992145311733   accuracy 0.6954545454545454   precision 0.6706605222734254   recall 0.5802045613366368
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deviation 2/5   iterations 501/2000   F1 0.5451682685725239   accuracy 0.6568181818181819   precision 0.6651920122887864   recall 0.5732964738084723
deviation 2/5   iterations 511/2000   F1 0.5688119774450711   accuracy 0.7136363636363636   precision 0.6480491551459293   recall 0.5739223807332413
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deviation 2/5   iterations 521/2000   F1 0.5312262561389622   accuracy 0.6375   precision 0.6542242703533026   recall 0.5672763530319924
deviation 2/5   iterations 531/2000   F1 0.5127260229507571   accuracy 0.6045454545454545   precision 0.6519815668202765   recall 0.5646190259730082
deviation 2/5   iterations 541/2000   F1 0.5765266063875591   accuracy 0.7193181818181819   precision 0.6595084485407066   recall 0.5798160173160173
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deviation 2/5   iterations 551/2000   F1 0.5536005213424569   accuracy 0.6886363636363636   precision 0.642089093701997   recall 0.567459553439635
deviation 2/5   iterations 561/2000   F1 0.5336942057654397   accuracy 0.6465909090909091   precision 0.6470353302611367   recall 0.5650285875779908
deviation 2/5   iterations 571/2000   F1 0.5347855240334352   accuracy 0.6443181818181818   precision 0.6539784946236559   recall 0.5676799758015729
deviation 2/5   iterations 581/2000   F1 0.541030264094115   accuracy 0.6568181818181819   precision 0.65284178187404   recall 0.5682812611514623
deviation 2/5   iterations 591/2000   F1 0.5523367325111314   accuracy 0.678409090909091   precision 0.6527496159754225   recall 0.5705544455544456
deviation 2/5   iterations 601/2000   F1 0.5678348701437833   accuracy 0.7056818181818182   precision 0.6558832565284178   recall 0.5757965056526207
deviation 2/5   iterations 611/2000   F1 0.5558106692178033   accuracy 0.6852272727272727   precision 0.6525038402457757   recall 0.5713218390804597
deviation 2/5   iterations 621/2000   F1 0.5498595493358054   accuracy 0.6670454545454545   precision 0.6627649769585253   recall 0.5733372461296538
deviation 2/5   iterations 631/2000   F1 0.5763639955426927   accuracy 0.7147727272727272   precision 0.6651612903225806   recall 0.5812693498452013
deviation 2/5   iterations 641/2000   F1 0.5323431277580454   accuracy 0.6409090909090909   precision 0.6520430107526882   recall 0.5666338142708653
deviation 2/5   iterations 651/2000   F1 0.571612251116677   accuracy 0.7022727272727273   precision 0.6704147465437789   recall 0.5811919273532047
deviation 2/5   iterations 661/2000   F1 0.543803514168595   accuracy 0.6568181818181819   precision 0.6610752688172044   recall 0.571629205807936
deviation 2/5   iterations 671/2000   F1 0.5844937417971126   accuracy 0.7318181818181818   precision 0.6624884792626728   recall 0.5837508471677677
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deviation 2/5   iterations 681/2000   F1 0.5615442668835499   accuracy 0.6909090909090909   precision 0.6598463901689708   recall 0.5751222921034242
deviation 2/5   iterations 691/2000   F1 0.5581782858307077   accuracy 0.6863636363636364   precision 0.6572657450076804   recall 0.5734311075918499
deviation 2/5   iterations 701/2000   F1 0.5429793754531385   accuracy 0.6556818181818181   precision 0.6604301075268817   recall 0.5712624729797594
deviation 2/5   iterations 711/2000   F1 0.5773294908741595   accuracy 0.7181818181818181   precision 0.6629800307219662   recall 0.5810314594521937
deviation 2/5   iterations 721/2000   F1 0.5757159003785992   accuracy 0.7227272727272728   precision 0.6532104454685099   recall 0.5778678541761653
deviation 2/5   iterations 731/2000   F1 0.583605359463814   accuracy 0.7306818181818182   precision 0.6618433179723502   recall 0.583219593569912
deviation 2/5   iterations 741/2000   F1 0.59999231739406   accuracy 0.7579545454545454   precision 0.6649769585253456   recall 0.5919042142446398
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deviation 2/5   iterations 751/2000   F1 0.5853339934268995   accuracy 0.7306818181818182   precision 0.6659600614439325   recall 0.5849349701894292
deviation 2/5   iterations 761/2000   F1 0.5550974865136707   accuracy 0.6761363636363636   precision 0.6638095238095238   recall 0.5747935182691445
deviation 2/5   iterations 771/2000   F1 0.577116704805492   accuracy 0.7136363636363636   precision 0.6686328725038403   recall 0.5824793388429752
deviation 2/5   iterations 781/2000   F1 0.5979284307360018   accuracy 0.7625   precision 0.6552073732718894   recall 0.589184837871427
deviation 2/5   iterations 791/2000   F1 0.5528073916133618   accuracy 0.675   precision 0.6590476190476191   recall 0.5727208877651355
deviation 2/5   iterations 801/2000   F1 0.5626462359767027   accuracy 0.696590909090909   precision 0.6548387096774193   recall 0.573902027027027
deviation 2/5   iterations 811/2000   F1 0.5754944524843222   accuracy 0.7136363636363636   precision 0.6645161290322581   recall 0.5807882397668229
deviation 2/5   iterations 821/2000   F1 0.5737604881769641   accuracy 0.7113636363636363   precision 0.6632258064516129   recall 0.5798347107438017
deviation 2/5   iterations 831/2000   F1 0.5806173902349034   accuracy 0.7181818181818181   precision 0.6712135176651306   recall 0.5844194402535158
deviation 2/5   iterations 841/2000   F1 0.5580126467931347   accuracy 0.6840909090909091   precision 0.6600921658986175   recall 0.5742836778332145
deviation 2/5   iterations 851/2000   F1 0.5892148401831683   accuracy 0.7670454545454546   precision 0.6330875576036866   recall 0.58078231292517
deviation 2/5   iterations 861/2000   F1 0.5853841912686081   accuracy 0.7329545454545454   precision 0.6631336405529954   recall 0.5842857142857143
deviation 2/5   iterations 871/2000   F1 0.5700560926124836   accuracy 0.7022727272727273   precision 0.6662980030721966   recall 0.579513605302278
deviation 2/5   iterations 881/2000   F1 0.5705122245979363   accuracy 0.7136363636363636   precision 0.6521658986175115   recall 0.5756548197298239
deviation 2/5   iterations 891/2000   F1 0.5679422382671481   accuracy 0.7102272727272727   precision 0.6502304147465438   recall 0.5742258652094718
deviation 2/5   iterations 901/2000   F1 0.5853762414331596   accuracy 0.7397727272727272   precision 0.6546543778801843   recall 0.5823647215895704
deviation 2/5   iterations 911/2000   F1 0.5696128241569187   accuracy 0.7102272727272727   precision 0.654347158218126   recall 0.5759481424148607
deviation 2/5   iterations 921/2000   F1 0.5870292156206662   accuracy 0.7465909090909091   precision 0.6502918586789554   recall 0.5822704768055107
deviation 2/5   iterations 931/2000   F1 0.5888363400345455   accuracy 0.7488636363636364   precision 0.6515821812596005   recall 0.5834551162350139
deviation 2/5   iterations 941/2000   F1 0.5640828743423585   accuracy 0.6943181818181818   precision 0.6617818740399386   recall 0.5764145248543103
deviation 2/5   iterations 951/2000   F1 0.5748465326131754   accuracy 0.7215909090909091   precision 0.6525652841781875   recall 0.5773635933099031
deviation 2/5   iterations 961/2000   F1 0.5783269009072227   accuracy 0.7284090909090909   precision 0.6523195084485407   recall 0.5786984126984127
deviation 2/5   iterations 971/2000   F1 0.5933978489103371   accuracy 0.7545454545454545   precision 0.6548079877112135   recall 0.5864981220689514
deviation 2/5   iterations 981/2000   F1 0.5827406353722143   accuracy 0.7318181818181818   precision 0.6583717357910907   recall 0.5820238163430266
deviation 2/5   iterations 991/2000   F1 0.5765776018176336   accuracy 0.7261363636363637   precision 0.6510291858678956   recall 0.5776589829137599
deviation 2/5   iterations 1001/2000   F1 0.5853762414331596   accuracy 0.7397727272727272   precision 0.6546543778801843   recall 0.5823647215895704
deviation 2/5   iterations 1011/2000   F1 0.5791691995947315   accuracy 0.7318181818181818   precision 0.6501382488479263   recall 0.5785312550216937
deviation 2/5   iterations 1021/2000   F1 0.5971626836426487   accuracy 0.7568181818181818   precision 0.6602150537634408   recall 0.5895192908492917
deviation 2/5   iterations 1031/2000   F1 0.5783269009072227   accuracy 0.7284090909090909   precision 0.6523195084485407   recall 0.5786984126984127
deviation 2/5   iterations 1041/2000   F1 0.5809319136465761   accuracy 0.7340909090909091   precision 0.6514285714285715   recall 0.5796073415121034
deviation 2/5   iterations 1051/2000   F1 0.6007435402736299   accuracy 0.7659090909090909   precision 0.6571428571428571   recall 0.591183622244882
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deviation 2/5   iterations 1061/2000   F1 0.6028069219239678   accuracy 0.759090909090909   precision 0.6697388632872504   recall 0.5942761976916409
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deviation 2/5   iterations 1071/2000   F1 0.5783171731632719   accuracy 0.7238636363636364   precision 0.6579723502304147   recall 0.5801054363269273
deviation 2/5   iterations 1081/2000   F1 0.5917093680199711   accuracy 0.7431818181818182   precision 0.6648233486943165   recall 0.587549527085686
deviation 2/5   iterations 1091/2000   F1 0.5980247619171326   accuracy 0.7602272727272728   precision 0.6580337941628265   recall 0.5896642124051763
deviation 2/5   iterations 1101/2000   F1 0.5972027972027971   accuracy 0.7545454545454545   precision 0.6630414746543778   recall 0.5900254452926209
deviation 2/5   iterations 1111/2000   F1 0.5863019250253293   accuracy 0.7363636363636363   precision 0.660952380952381   recall 0.5841876908243613
deviation 2/5   iterations 1121/2000   F1 0.6008621909303506   accuracy 0.7522727272727273   precision 0.6741013824884792   recall 0.5939794760897108
deviation 2/5   iterations 1131/2000   F1 0.5862255835637835   accuracy 0.7318181818181818   precision 0.6666052227342549   recall 0.5854656403855488
deviation 2/5   iterations 1141/2000   F1 0.5990502942750133   accuracy 0.7522727272727273   precision 0.6699846390168971   recall 0.5922664905715753
deviation 2/5   iterations 1151/2000   F1 0.5774426146918984   accuracy 0.7227272727272728   precision 0.6573271889400922   recall 0.5795982317721449
deviation 2/5   iterations 1161/2000   F1 0.6129083856520174   accuracy 0.7875   precision 0.6570506912442396   recall 0.5997938530734632
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deviation 2/5   iterations 1171/2000   F1 0.5880961765865196   accuracy 0.740909090909091   precision 0.6594162826420891   recall 0.5846774456752328
deviation 2/5   iterations 1181/2000   F1 0.5871972141137911   accuracy 0.7397727272727272   precision 0.6587711213517665   recall 0.5841145833333333
deviation 2/5   iterations 1191/2000   F1 0.60557372198953   accuracy 0.7693181818181818   precision 0.6631950844854071   recall 0.5950091575091575
deviation 2/5   iterations 1201/2000   F1 0.6102283105022832   accuracy 0.7795454545454545   precision 0.660768049155146   recall 0.5979412315178738
deviation 2/5   iterations 1211/2000   F1 0.6018654516215491   accuracy 0.7602272727272728   precision 0.6662672811059908   recall 0.5931818181818181
deviation 2/5   iterations 1221/2000   F1 0.603748258075806   accuracy 0.7602272727272728   precision 0.670384024577573   recall 0.5949163449163449
deviation 2/5   iterations 1231/2000   F1 0.5962922230950511   accuracy 0.7511363636363636   precision 0.6652227342549923   recall 0.589933110367893
deviation 2/5   iterations 1241/2000   F1 0.6074167565253066   accuracy 0.7738636363636363   precision 0.6616589861751152   recall 0.5960527468676071
deviation 2/5   iterations 1251/2000   F1 0.6065780707598444   accuracy 0.7681818181818182   precision 0.6666666666666667   recall 0.5960795981836086
deviation 2/5   iterations 1261/2000   F1 0.600894962810667   accuracy 0.7613636363636364   precision 0.6627956989247312   recall 0.5920790152289204
deviation 2/5   iterations 1271/2000   F1 0.6122784545644492   accuracy 0.7795454545454545   precision 0.6648847926267281   recall 0.5997205520583273
deviation 2/5   iterations 1281/2000   F1 0.6075041987575519   accuracy 0.7625   precision 0.6757910906298004   recall 0.5979284755880501
deviation 2/5   iterations 1291/2000   F1 0.6036689185478112   accuracy 0.7670454545454546   precision 0.661904761904762   recall 0.59363894811656
deviation 2/5   iterations 1301/2000   F1 0.6056008454106281   accuracy 0.7840909090909091   precision 0.6468817204301076   recall 0.5937076149932184
deviation 2/5   iterations 1311/2000   F1 0.5990502942750133   accuracy 0.7522727272727273   precision 0.6699846390168971   recall 0.5922664905715753
deviation 2/5   iterations 1321/2000   F1 0.5907716488742768   accuracy 0.7397727272727272   precision 0.6670046082949308   recall 0.5875734611815651
deviation 2/5   iterations 1331/2000   F1 0.5871713870952804   accuracy 0.7352272727272727   precision 0.6644239631336406   recall 0.5853664761126991
deviation 2/5   iterations 1341/2000   F1 0.6113962617527555   accuracy 0.7738636363636363   precision 0.6698924731182796   recall 0.5995721817291348
deviation 2/5   iterations 1351/2000   F1 0.6151558974952277   accuracy 0.7852272727272728   precision 0.6639938556067588   recall 0.6017925247902365
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deviation 2/5   iterations 1361/2000   F1 0.6075415112754254   accuracy 0.7647727272727273   precision 0.6729646697388634   recall 0.5975290335097979
deviation 2/5   iterations 1371/2000   F1 0.6123692992213571   accuracy 0.775   precision 0.6705376344086021   recall 0.6002890695573623
deviation 2/5   iterations 1381/2000   F1 0.6123692992213571   accuracy 0.775   precision 0.6705376344086021   recall 0.6002890695573623
deviation 2/5   iterations 1391/2000   F1 0.5972027972027971   accuracy 0.7545454545454545   precision 0.6630414746543778   recall 0.5900254452926209
deviation 2/5   iterations 1401/2000   F1 0.6101019051838724   accuracy 0.7818181818181819   precision 0.657941628264209   recall 0.5976641159887234
deviation 2/5   iterations 1411/2000   F1 0.6037496418191494   accuracy 0.7625   precision 0.667557603686636   recall 0.5944801685190831
deviation 2/5   iterations 1421/2000   F1 0.6074167565253066   accuracy 0.7738636363636363   precision 0.6616589861751152   recall 0.5960527468676071
deviation 2/5   iterations 1431/2000   F1 0.6102283105022832   accuracy 0.7795454545454545   precision 0.660768049155146   recall 0.5979412315178738
deviation 2/5   iterations 1441/2000   F1 0.613057224816265   accuracy 0.7852272727272728   precision 0.6598771121351766   recall 0.6000030746525643
deviation 2/5   iterations 1451/2000   F1 0.6053856120781927   accuracy 0.7738636363636363   precision 0.657542242703533   recall 0.5942647058823529
deviation 2/5   iterations 1461/2000   F1 0.6151558974952277   accuracy 0.7852272727272728   precision 0.6639938556067588   recall 0.6017925247902365
deviation 2/5   iterations 1471/2000   F1 0.6181553506774664   accuracy 0.7886363636363637   precision 0.6659293394777266   recall 0.6041931924284866
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deviation 2/5   iterations 1481/2000   F1 0.6141633436715405   accuracy 0.7840909090909091   precision 0.6633486943164362   recall 0.6010076064407784
deviation 2/5   iterations 1491/2000   F1 0.6282579009932117   accuracy 0.8045454545454546   precision 0.6667281105990783   recall 0.6129128904201933
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deviation 2/5   iterations 1501/2000   F1 0.5924804360305682   accuracy 0.7534090909090909   precision 0.654162826420891   recall 0.5858799529012295
deviation 2/5   iterations 1511/2000   F1 0.6141633436715405   accuracy 0.7840909090909091   precision 0.6633486943164362   recall 0.6010076064407784
deviation 2/5   iterations 1521/2000   F1 0.6198021340013009   accuracy 0.7977272727272727   precision 0.6587403993855607   recall 0.6056119237026923
deviation 2/5   iterations 1531/2000   F1 0.6102283105022832   accuracy 0.7795454545454545   precision 0.660768049155146   recall 0.5979412315178738
deviation 2/5   iterations 1541/2000   F1 0.6347248576850094   accuracy 0.8090909090909091   precision 0.6734254992319508   recall 0.6185217223337336
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deviation 2/5   iterations 1551/2000   F1 0.5951388888888889   accuracy 0.759090909090909   precision 0.6532718894009216   recall 0.587235530687183
deviation 2/5   iterations 1561/2000   F1 0.6262548262548263   accuracy 0.8   precision 0.6682642089093702   recall 0.6109827760891591
deviation 2/5   iterations 1571/2000   F1 0.6092531406620381   accuracy 0.7784090909090909   precision 0.6601228878648233   recall 0.5971923857262202
deviation 2/5   iterations 1581/2000   F1 0.6230387779254064   accuracy 0.7988636363636363   precision 0.6635023041474655   recall 0.608308098075608
deviation 2/5   iterations 1591/2000   F1 0.6092531406620381   accuracy 0.7784090909090909   precision 0.6601228878648233   recall 0.5971923857262202
deviation 2/5   iterations 1601/2000   F1 0.6112994964561659   accuracy 0.7784090909090909   precision 0.6642396313364055   recall 0.5989736070381231
deviation 2/5   iterations 1611/2000   F1 0.6149033355332099   accuracy 0.7897727272727273   precision 0.6583410138248847   recall 0.6014279416858214
deviation 2/5   iterations 1621/2000   F1 0.6141633436715405   accuracy 0.7840909090909091   precision 0.6633486943164362   recall 0.6010076064407784
deviation 2/5   iterations 1631/2000   F1 0.6132661432087192   accuracy 0.7954545454545454   precision 0.6492165898617511   recall 0.6001534159800064
deviation 2/5   iterations 1641/2000   F1 0.6045383759733036   accuracy 0.7704545454545455   precision 0.6597235023041474   recall 0.5939295392953929
deviation 2/5   iterations 1651/2000   F1 0.6119164907342247   accuracy 0.7863636363636364   precision 0.6564055299539171   recall 0.5989889169745285
deviation 2/5   iterations 1661/2000   F1 0.613057224816265   accuracy 0.7852272727272728   precision 0.6598771121351766   recall 0.6000030746525643
deviation 2/5   iterations 1671/2000   F1 0.6014196383302349   accuracy 0.7715909090909091   precision 0.6521351766513057   recall 0.5910294117647059
deviation 2/5   iterations 1681/2000   F1 0.6237633606761124   accuracy 0.8045454545454546   precision 0.6584946236559139   recall 0.6093240093240093
deviation 2/5   iterations 1691/2000   F1 0.60347119628938   accuracy 0.7715909090909091   precision 0.6562519201228878   recall 0.592840036216011
deviation 2/5   iterations 1701/2000   F1 0.5893195160460227   accuracy 0.7568181818181818   precision 0.6437480798771121   recall 0.5823355927669968
deviation 2/5   iterations 1711/2000   F1 0.6191281416392387   accuracy 0.8045454545454546   precision 0.6502611367127497   recall 0.6056289359790599
deviation 2/5   iterations 1721/2000   F1 0.623935318446621   accuracy 0.8022727272727272   precision 0.6613210445468509   recall 0.6092510756580863
deviation 2/5   iterations 1731/2000   F1 0.589824558456719   accuracy 0.7477272727272727   precision 0.6550537634408602   recall 0.584636333755928
deviation 2/5   iterations 1741/2000   F1 0.6092664092664093   accuracy 0.7909090909090909   precision 0.6466359447004608   recall 0.5967173252279635
deviation 2/5   iterations 1751/2000   F1 0.6170484029177712   accuracy 0.7897727272727273   precision 0.6624577572964669   recall 0.6032296351824088
deviation 2/5   iterations 1761/2000   F1 0.6170484029177712   accuracy 0.7897727272727273   precision 0.6624577572964669   recall 0.6032296351824088
deviation 2/5   iterations 1771/2000   F1 0.6200814111261873   accuracy 0.7931818181818182   precision 0.6643932411674347   recall 0.6057351069799792
deviation 2/5   iterations 1781/2000   F1 0.6063475997686524   accuracy 0.775   precision 0.6581874039938556   recall 0.5949866808344217
deviation 2/5   iterations 1791/2000   F1 0.6097524154589372   accuracy 0.7863636363636364   precision 0.6522887864823348   recall 0.5971572155451546
deviation 2/5   iterations 1801/2000   F1 0.6106388267462093   accuracy 0.7977272727272727   precision 0.6422734254992319   recall 0.5981351981351981
deviation 2/5   iterations 1811/2000   F1 0.5957740009186954   accuracy 0.7647727272727273   precision 0.6482642089093702   recall 0.5868960848146121
deviation 2/5   iterations 1821/2000   F1 0.6260278304870335   accuracy 0.8045454545454546   precision 0.6626113671274961   recall 0.6111311738374583
deviation 2/5   iterations 1831/2000   F1 0.6110834731300978   accuracy 0.7829545454545455   precision 0.6585867895545314   recall 0.5984363081617087
deviation 2/5   iterations 1841/2000   F1 0.614049494233138   accuracy 0.7863636363636364   precision 0.6605222734254992   recall 0.6007978949155419
deviation 2/5   iterations 1851/2000   F1 0.631031050085014   accuracy 0.8147727272727273   precision 0.660184331797235   recall 0.6165879574970484
deviation 2/5   iterations 1861/2000   F1 0.6262548262548263   accuracy 0.8   precision 0.6682642089093702   recall 0.6109827760891591
deviation 2/5   iterations 1871/2000   F1 0.5943178772447064   accuracy 0.7556818181818182   precision 0.6554531490015361   recall 0.5871212121212122
deviation 2/5   iterations 1881/2000   F1 0.6251662234042553   accuracy 0.8136363636363636   precision 0.6513056835637481   recall 0.6118514884764579
deviation 2/5   iterations 1891/2000   F1 0.6171518573578918   accuracy 0.7875   precision 0.6652841781874039   recall 0.6033851924732505
deviation 2/5   iterations 1901/2000   F1 0.5998022738507167   accuracy 0.7647727272727273   precision 0.6564976958525346   recall 0.5905117270788913
deviation 2/5   iterations 1911/2000   F1 0.6227191284673088   accuracy 0.803409090909091   precision 0.6578494623655914   recall 0.6083746751712733
deviation 2/5   iterations 1921/2000   F1 0.6325130499627144   accuracy 0.8090909090909091   precision 0.6693087557603686   recall 0.6167832167832168
deviation 2/5   iterations 1931/2000   F1 0.6007435402736299   accuracy 0.7659090909090909   precision 0.6571428571428571   recall 0.591183622244882
deviation 2/5   iterations 1941/2000   F1 0.6147285467868926   accuracy 0.7920454545454545   precision 0.6555145929339478   recall 0.6012756490284581
deviation 2/5   iterations 1951/2000   F1 0.6355582764643392   accuracy 0.8170454545454545   precision 0.6655913978494623   recall 0.6205234159779615
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deviation 2/5   iterations 1961/2000   F1 0.601834953747302   accuracy 0.7625   precision 0.6634408602150538   recall 0.5927320392681839
deviation 2/5   iterations 1971/2000   F1 0.6292002323731734   accuracy 0.8079545454545455   precision 0.6645468509984639   recall 0.6140312031611936
deviation 2/5   iterations 1981/2000   F1 0.625215652588192   accuracy 0.7988636363636363   precision 0.6676190476190476   recall 0.6100852272727273
deviation 2/5   iterations 1991/2000   F1 0.6170484029177712   accuracy 0.7897727272727273   precision 0.6624577572964669   recall 0.6032296351824088

deviation 3/5   iterations 1/2000   F1 0.5003372284526704   accuracy 0.7943181818181818   precision 0.5003686635944701   recall 0.5003846153846154
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deviation 3/5   iterations 11/2000   F1 0.5919240921737889   accuracy 0.7931818181818182   precision 0.6149923195084486   recall 0.582436944437103
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deviation 3/5   iterations 21/2000   F1 0.5001250349849544   accuracy 0.6102272727272727   precision 0.6016897081413211   recall 0.5441295676102307
deviation 3/5   iterations 31/2000   F1 0.5213281964577732   accuracy 0.6431818181818182   precision 0.6162826420890937   recall 0.5520721553607493
deviation 3/5   iterations 41/2000   F1 0.4611760169654906   accuracy 0.5488636363636363   precision 0.575084485407066   recall 0.5316252587991719
deviation 3/5   iterations 51/2000   F1 0.45302363753764086   accuracy 0.5318181818181819   precision 0.5777572964669739   recall 0.5326835365885154
deviation 3/5   iterations 61/2000   F1 0.4673781466933472   accuracy 0.5545454545454546   precision 0.5865437788018433   recall 0.5364596006398873
deviation 3/5   iterations 71/2000   F1 0.4813119755911518   accuracy 0.575   precision 0.5981566820276498   recall 0.5415844522305926
deviation 3/5   iterations 81/2000   F1 0.4859682539682539   accuracy 0.5818181818181818   precision 0.6020276497695852   recall 0.543338118230458
deviation 3/5   iterations 91/2000   F1 0.5317597527657096   accuracy 0.6625   precision 0.6190168970814132   recall 0.5548104131295981
deviation 3/5   iterations 101/2000   F1 0.4810085414491364   accuracy 0.5693181818181818   precision 0.6072811059907834   recall 0.5452763256161315
deviation 3/5   iterations 111/2000   F1 0.53142376296048   accuracy 0.6534090909090909   precision 0.6303225806451613   recall 0.5587196296870501
deviation 3/5   iterations 121/2000   F1 0.5012824166429182   accuracy 0.6022727272727273   precision 0.6177572964669739   recall 0.5504663496226544
deviation 3/5   iterations 131/2000   F1 0.5365091450737464   accuracy 0.6761363636363636   precision 0.6144086021505376   recall 0.5542237442922374
deviation 3/5   iterations 141/2000   F1 0.5349128857437184   accuracy 0.6647727272727273   precision 0.6244239631336406   recall 0.5573005093378608
deviation 3/5   iterations 151/2000   F1 0.5568776920454899   accuracy 0.7045454545454546   precision 0.6305376344086022   recall 0.5649015402850841
deviation 3/5   iterations 161/2000   F1 0.5170182265001024   accuracy 0.6193181818181818   precision 0.6397849462365591   recall 0.5602808691043986
deviation 3/5   iterations 171/2000   F1 0.5653898502819366   accuracy 0.7113636363636363   precision 0.642642089093702   recall 0.5712225801503298
deviation 3/5   iterations 181/2000   F1 0.5618018446537001   accuracy 0.6954545454545454   precision 0.6541935483870968   recall 0.5734635448685297
deviation 3/5   iterations 191/2000   F1 0.568799931007989   accuracy 0.7159090909090909   precision 0.6452227342549923   recall 0.5731466523065877
deviation 3/5   iterations 201/2000   F1 0.588069594034797   accuracy 0.7431818181818182   precision 0.6565898617511521   recall 0.5840672934190995
deviation 3/5   iterations 211/2000   F1 0.5818347022321899   accuracy 0.7284090909090909   precision 0.6605529953917051   recall 0.5821677442076929
deviation 3/5   iterations 221/2000   F1 0.5778464175535798   accuracy 0.7125   precision 0.6721044546850998   recall 0.5836838834580176
deviation 3/5   iterations 231/2000   F1 0.5825004860976084   accuracy 0.7227272727272728   precision 0.6696774193548387   recall 0.5847215830648873
deviation 3/5   iterations 241/2000   F1 0.5844444444444444   accuracy 0.7295454545454545   precision 0.6653149001536098   recall 0.5844078431372549
deviation 3/5   iterations 251/2000   F1 0.5925258664790247   accuracy 0.7397727272727272   precision 0.6711213517665131   recall 0.5892834243799852
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deviation 3/5   iterations 261/2000   F1 0.568639241947975   accuracy 0.6943181818181818   precision 0.6741321044546851   recall 0.5814367816091954
deviation 3/5   iterations 271/2000   F1 0.5742033593695998   accuracy 0.7056818181818182   precision 0.6723502304147466   recall 0.5825563325563325
deviation 3/5   iterations 281/2000   F1 0.5804729214340199   accuracy 0.7159090909090909   precision 0.6740399385560676   recall 0.5851239669421487
deviation 3/5   iterations 291/2000   F1 0.5962922230950511   accuracy 0.7511363636363636   precision 0.6652227342549923   recall 0.589933110367893
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deviation 3/5   iterations 301/2000   F1 0.5630713513829259   accuracy 0.6909090909090909   precision 0.6639631336405529   recall 0.5768050702571395
deviation 3/5   iterations 311/2000   F1 0.5869396572887514   accuracy 0.7284090909090909   precision 0.6729032258064516   recall 0.5872828784119106
deviation 3/5   iterations 321/2000   F1 0.5981240785651578   accuracy 0.7511363636363636   precision 0.6693394777265744   recall 0.5916613452532993
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deviation 3/5   iterations 331/2000   F1 0.524045288247703   accuracy 0.6238636363636364   precision 0.6547158218125959   recall 0.5666222165777665
deviation 3/5   iterations 341/2000   F1 0.5903962291942849   accuracy 0.7306818181818182   precision 0.678310291858679   recall 0.5900124069478908
deviation 3/5   iterations 351/2000   F1 0.5870417928120403   accuracy 0.7306818181818182   precision 0.6700768049155146   recall 0.5866386217948718
deviation 3/5   iterations 361/2000   F1 0.5806173902349034   accuracy 0.7181818181818181   precision 0.6712135176651306   recall 0.5844194402535158
deviation 3/5   iterations 371/2000   F1 0.5807381240122711   accuracy 0.7204545454545455   precision 0.6683870967741936   recall 0.5837197793133787
deviation 3/5   iterations 381/2000   F1 0.5798597083991333   accuracy 0.7193181818181819   precision 0.667741935483871   recall 0.5832235879426397
deviation 3/5   iterations 391/2000   F1 0.5766201217329037   accuracy 0.7068181818181818   precision 0.6771121351766514   recall 0.5846842665005788
deviation 3/5   iterations 401/2000   F1 0.5797395812355794   accuracy 0.7170454545454545   precision 0.6705683563748079   recall 0.5839299535603715
deviation 3/5   iterations 411/2000   F1 0.6036658811207123   accuracy 0.7556818181818182   precision 0.6760368663594469   recall 0.5958193979933111
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deviation 3/5   iterations 421/2000   F1 0.5681786317785698   accuracy 0.6977272727272728   precision 0.6678341013824884   recall 0.5794082248489746
deviation 3/5   iterations 431/2000   F1 0.5970926572426029   accuracy 0.7454545454545455   precision 0.674347158218126   recall 0.592127221605335
deviation 3/5   iterations 441/2000   F1 0.5607007868400409   accuracy 0.6897727272727273   precision 0.6592012288786482   recall 0.5746961415161789
deviation 3/5   iterations 451/2000   F1 0.5852584542634649   accuracy 0.7284090909090909   precision 0.6687864823348695   recall 0.5855891223609762
deviation 3/5   iterations 461/2000   F1 0.5632352941176471   accuracy 0.6931818181818182   precision 0.6611367127496159   recall 0.5759814573373896
deviation 3/5   iterations 471/2000   F1 0.5746266232835753   accuracy 0.7125   precision 0.6638709677419354   recall 0.5803100383031004
deviation 3/5   iterations 481/2000   F1 0.5981240785651578   accuracy 0.7511363636363636   precision 0.6693394777265744   recall 0.5916613452532993
deviation 3/5   iterations 491/2000   F1 0.5798597083991333   accuracy 0.7193181818181819   precision 0.667741935483871   recall 0.5832235879426397
deviation 3/5   iterations 501/2000   F1 0.5736434108527132   accuracy 0.7090909090909091   precision 0.66605222734255   recall 0.5805855235300783
deviation 3/5   iterations 511/2000   F1 0.6083916083916083   accuracy 0.7613636363636364   precision 0.6792626728110599   recall 0.5989821882951654
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deviation 3/5   iterations 521/2000   F1 0.5835569134264879   accuracy 0.7284090909090909   precision 0.6646697388632873   recall 0.5838842147435898
deviation 3/5   iterations 531/2000   F1 0.5553103310352463   accuracy 0.678409090909091   precision 0.6609831029185868   recall 0.5739210906464427
deviation 3/5   iterations 541/2000   F1 0.5844444444444444   accuracy 0.7295454545454545   precision 0.6653149001536098   recall 0.5844078431372549
deviation 3/5   iterations 551/2000   F1 0.5853841912686081   accuracy 0.7329545454545454   precision 0.6631336405529954   recall 0.5842857142857143
deviation 3/5   iterations 561/2000   F1 0.5915656083935141   accuracy 0.7522727272727273   precision 0.6535176651305683   recall 0.5852666352697067
deviation 3/5   iterations 571/2000   F1 0.5907716488742768   accuracy 0.7397727272727272   precision 0.6670046082949308   recall 0.5875734611815651
deviation 3/5   iterations 581/2000   F1 0.5898128279930241   accuracy 0.7363636363636363   precision 0.6691858678955453   recall 0.5876246666539374
deviation 3/5   iterations 591/2000   F1 0.5953562147750666   accuracy 0.7522727272727273   precision 0.6617511520737327   recall 0.5887972151574232
deviation 3/5   iterations 601/2000   F1 0.5743679789818782   accuracy 0.7079545454545455   precision 0.6695238095238095   recall 0.581803410896843
deviation 3/5   iterations 611/2000   F1 0.5727792207792208   accuracy 0.7079545454545455   precision 0.6654070660522273   recall 0.5801190476190476
deviation 3/5   iterations 621/2000   F1 0.6033261527937283   accuracy 0.7738636363636363   precision 0.6534254992319508   recall 0.5924568263277941
deviation 3/5   iterations 631/2000   F1 0.5913194444444444   accuracy 0.7568181818181818   precision 0.6478648233486943   recall 0.5841580695925861
deviation 3/5   iterations 641/2000   F1 0.5730558170371759   accuracy 0.7147727272727272   precision 0.6569278033794164   recall 0.5778582577309531
deviation 3/5   iterations 651/2000   F1 0.582642549014756   accuracy 0.7386363636363636   precision 0.6498924731182796   recall 0.5800408160586912
deviation 3/5   iterations 661/2000   F1 0.5782728355674832   accuracy 0.7215909090909091   precision 0.6607987711213518   recall 0.5808135082388399
deviation 3/5   iterations 671/2000   F1 0.5913661373000718   accuracy 0.7670454545454546   precision 0.6372043010752688   recall 0.5826816552623004
deviation 3/5   iterations 681/2000   F1 0.5705154444409458   accuracy 0.7181818181818181   precision 0.6465130568356374   recall 0.574126921953009
deviation 3/5   iterations 691/2000   F1 0.5887244953488223   accuracy 0.7511363636363636   precision 0.6487557603686636   recall 0.5828678222295244
deviation 3/5   iterations 701/2000   F1 0.5756562317713397   accuracy 0.7181818181818181   precision 0.6588632872503841   recall 0.5793219818990643
deviation 3/5   iterations 711/2000   F1 0.5827406353722143   accuracy 0.7318181818181818   precision 0.6583717357910907   recall 0.5820238163430266
deviation 3/5   iterations 721/2000   F1 0.5815449070437286   accuracy 0.7420454545454546   precision 0.643594470046083   recall 0.5781605351170569
deviation 3/5   iterations 731/2000   F1 0.6000697766229951   accuracy 0.775   precision 0.6458371735791091   recall 0.5895045666749629
deviation 3/5   iterations 741/2000   F1 0.572997014120011   accuracy 0.7261363636363637   precision 0.6427956989247312   recall 0.5741374030216415
deviation 3/5   iterations 751/2000   F1 0.5791057222980762   accuracy 0.7340909090909091   precision 0.6473118279569892   recall 0.57784141455464
deviation 3/5   iterations 761/2000   F1 0.5894919617481146   accuracy 0.7545454545454545   precision 0.6465745007680491   recall 0.582904129393693
deviation 3/5   iterations 771/2000   F1 0.5833254417697304   accuracy 0.7443181818181818   precision 0.644884792626728   recall 0.5793106231837262
deviation 3/5   iterations 781/2000   F1 0.5824340099604437   accuracy 0.7431818181818182   precision 0.6442396313364055   recall 0.5787334232185619
deviation 3/5   iterations 791/2000   F1 0.5756684427514043   accuracy 0.7272727272727273   precision 0.647557603686636   recall 0.5764229660321158
deviation 3/5   iterations 801/2000   F1 0.5818164389540516   accuracy 0.7352272727272727   precision 0.6520737327188939   recall 0.5801510401823882
deviation 3/5   iterations 811/2000   F1 0.5799866851026784   accuracy 0.7352272727272727   precision 0.6479569892473118   recall 0.5783854166666667
deviation 3/5   iterations 821/2000   F1 0.5795785265963043   accuracy 0.7522727272727273   precision 0.6288172043010753   recall 0.5742602313702988
deviation 3/5   iterations 831/2000   F1 0.5867768595041323   accuracy 0.7613636363636364   precision 0.633978494623656   recall 0.5793307186879234
deviation 3/5   iterations 841/2000   F1 0.5946218293841591   accuracy 0.7818181818181819   precision 0.6291244239631336   recall 0.5844443908672277
deviation 3/5   iterations 851/2000   F1 0.587950678944904   accuracy 0.7681818181818182   precision 0.6296159754224271   recall 0.5795491398360372
deviation 3/5   iterations 861/2000   F1 0.5972977053140096   accuracy 0.7795454545454545   precision 0.6360675883256528   recall 0.5868084138893462
deviation 3/5   iterations 871/2000   F1 0.5929216981848561   accuracy 0.7715909090909091   precision 0.6356682027649769   recall 0.5835755813953488
deviation 3/5   iterations 881/2000   F1 0.5879315581654347   accuracy 0.7477272727272727   precision 0.6509370199692781   recall 0.5828605352456638
deviation 3/5   iterations 891/2000   F1 0.5801517400846354   accuracy 0.7556818181818182   precision 0.6266359447004608   recall 0.5742199879000893
deviation 3/5   iterations 901/2000   F1 0.5852384350415378   accuracy 0.7568181818181818   precision 0.6355145929339477   recall 0.5786336183230057
deviation 3/5   iterations 911/2000   F1 0.5801093572681316   accuracy 0.7477272727272727   precision 0.6344700460829493   recall 0.5755911549540961
deviation 3/5   iterations 921/2000   F1 0.5867768595041323   accuracy 0.7613636363636364   precision 0.633978494623656   recall 0.5793307186879234
deviation 3/5   iterations 931/2000   F1 0.5849610678531701   accuracy 0.759090909090909   precision 0.6326881720430108   recall 0.5780307136404697
deviation 3/5   iterations 941/2000   F1 0.5821081269489261   accuracy 0.7693181818181818   precision 0.617910906298003   recall 0.5743314430913204
deviation 3/5   iterations 951/2000   F1 0.5691765397042985   accuracy 0.7556818181818182   precision 0.6060522273425499   recall 0.5643722401241198
deviation 3/5   iterations 961/2000   F1 0.5762055319416235   accuracy 0.7647727272727273   precision 0.6112135176651305   recall 0.5695640142663879
deviation 3/5   iterations 971/2000   F1 0.5824340099604437   accuracy 0.7431818181818182   precision 0.6442396313364055   recall 0.5787334232185619
deviation 3/5   iterations 981/2000   F1 0.5876749544344717   accuracy 0.7522727272727273   precision 0.6452841781874039   recall 0.581670224303843
deviation 3/5   iterations 991/2000   F1 0.5821004566210045   accuracy 0.7636363636363637   precision 0.6229185867895546   recall 0.5748830245180611
deviation 3/5   iterations 1001/2000   F1 0.5789753204269765   accuracy 0.7625   precision 0.6181566820276497   recall 0.572247603017643
deviation 3/5   iterations 1011/2000   F1 0.5744859365305767   accuracy 0.7511363636363636   precision 0.6199385560675883   recall 0.5698260073260073
deviation 3/5   iterations 1021/2000   F1 0.5798712804928433   accuracy 0.7636363636363637   precision 0.6188018433179724   recall 0.5729121886100866
deviation 3/5   iterations 1031/2000   F1 0.5979998231670777   accuracy 0.7886363636363637   precision 0.6288786482334869   recall 0.5872801870854452
deviation 3/5   iterations 1041/2000   F1 0.6023105053191489   accuracy 0.8022727272727272   precision 0.6242703533026114   recall 0.5918658418045222
deviation 3/5   iterations 1051/2000   F1 0.6003261800803064   accuracy 0.8   precision 0.6229800307219662   recall 0.589970421914754
deviation 3/5   iterations 1061/2000   F1 0.5936772406204871   accuracy 0.7863636363636364   precision 0.6234715821812595   recall 0.5836183723233382
deviation 3/5   iterations 1071/2000   F1 0.5903991401069109   accuracy 0.7795454545454545   precision 0.6237173579109063   recall 0.5809082945568227
deviation 3/5   iterations 1081/2000   F1 0.5946308790962456   accuracy 0.7875   precision 0.6241167434715822   recall 0.5844368646334939
deviation 3/5   iterations 1091/2000   F1 0.6018801806568363   accuracy 0.7988636363636363   precision 0.6264516129032258   recall 0.5911070973225669
deviation 3/5   iterations 1101/2000   F1 0.6089134276542125   accuracy 0.8068181818181818   precision 0.6309677419354839   recall 0.5978479420486784
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deviation 3/5   iterations 1111/2000   F1 0.6008927934446947   accuracy 0.7977272727272727   precision 0.6258064516129032   recall 0.590189497053149
deviation 3/5   iterations 1121/2000   F1 0.59085690428974   accuracy 0.7772727272727272   precision 0.6265437788018433   recall 0.581390937329571
deviation 3/5   iterations 1131/2000   F1 0.6028717948717949   accuracy 0.8   precision 0.6270967741935485   recall 0.592035595105673
deviation 3/5   iterations 1141/2000   F1 0.590838163445645   accuracy 0.7829545454545455   precision 0.6215360983102918   recall 0.5812146892655368
deviation 3/5   iterations 1151/2000   F1 0.6053771440801476   accuracy 0.8   precision 0.6312135176651306   recall 0.5940657733611721
deviation 3/5   iterations 1161/2000   F1 0.5960779717957733   accuracy 0.7863636363636364   precision 0.6275883256528418   recall 0.5856366350761719
deviation 3/5   iterations 1171/2000   F1 0.5894648449368527   accuracy 0.7784090909090909   precision 0.6230721966205838   recall 0.5801482121706841
deviation 3/5   iterations 1181/2000   F1 0.5871019901395336   accuracy 0.7784090909090909   precision 0.6189554531490016   recall 0.578125
deviation 3/5   iterations 1191/2000   F1 0.6053771440801476   accuracy 0.8   precision 0.6312135176651306   recall 0.5940657733611721
deviation 3/5   iterations 1201/2000   F1 0.6078952511237052   accuracy 0.8056818181818182   precision 0.6303225806451613   recall 0.5968493150684931
deviation 3/5   iterations 1211/2000   F1 0.6023979302076103   accuracy 0.7965909090909091   precision 0.6292780337941628   recall 0.5913194444444444
deviation 3/5   iterations 1221/2000   F1 0.6099362395776233   accuracy 0.8079545454545455   precision 0.6316129032258064   recall 0.598859105006646
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deviation 3/5   iterations 1231/2000   F1 0.6023979302076103   accuracy 0.7965909090909091   precision 0.6292780337941628   recall 0.5913194444444444
deviation 3/5   iterations 1241/2000   F1 0.6172333640854298   accuracy 0.821590909090909   precision 0.6311213517665131   recall 0.6080659536541889
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deviation 3/5   iterations 1251/2000   F1 0.6053284476506737   accuracy 0.7863636363636364   precision 0.6440552995391705   recall 0.5934220068696754
deviation 3/5   iterations 1261/2000   F1 0.6073846153846154   accuracy 0.8022727272727272   precision 0.6325038402457757   recall 0.5959510567296996
deviation 3/5   iterations 1271/2000   F1 0.6004324801633592   accuracy 0.7943181818181818   precision 0.6279877112135177   recall 0.589540561917535
deviation 3/5   iterations 1281/2000   F1 0.6172310468150917   accuracy 0.8159090909090909   precision 0.6361290322580646   recall 0.6063110010652693
deviation 3/5   iterations 1291/2000   F1 0.614602707729573   accuracy 0.8159090909090909   precision 0.6320122887864823   recall 0.6042971290983408
deviation 3/5   iterations 1301/2000   F1 0.6088098605778945   accuracy 0.8125   precision 0.6259600614439325   recall 0.5989382239382239
deviation 3/5   iterations 1311/2000   F1 0.6053201004010271   accuracy 0.8056818181818182   precision 0.6262058371735791   recall 0.594797666518978
deviation 3/5   iterations 1321/2000   F1 0.6155526430755789   accuracy 0.8227272727272728   precision 0.6276497695852534   recall 0.6072213792462763
deviation 3/5   iterations 1331/2000   F1 0.6114527925531915   accuracy 0.8068181818181818   precision 0.6350844854070661   recall 0.5998601004732964
deviation 3/5   iterations 1341/2000   F1 0.6145523787542194   accuracy 0.8102272727272727   precision 0.6370199692780338   recall 0.602920543494314
deviation 3/5   iterations 1351/2000   F1 0.6043798623863696   accuracy 0.7988636363636363   precision 0.6305683563748079   recall 0.593139661278446
deviation 3/5   iterations 1361/2000   F1 0.6068816489361701   accuracy 0.8045454545454546   precision 0.6296774193548387   recall 0.5958629711389093
deviation 3/5   iterations 1371/2000   F1 0.5989304812834224   accuracy 0.7954545454545454   precision 0.6245161290322581   recall 0.5883861513097637
deviation 3/5   iterations 1381/2000   F1 0.6140350877192983   accuracy 0.8181818181818182   precision 0.6291858678955453   recall 0.6045239870743226
deviation 3/5   iterations 1391/2000   F1 0.6116821392334264   accuracy 0.821590909090909   precision 0.6228878648233487   recall 0.6038896276595744
deviation 3/5   iterations 1401/2000   F1 0.617710778118794   accuracy 0.825   precision 0.6289400921658986   recall 0.609718605891395
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deviation 3/5   iterations 1411/2000   F1 0.6305465074194716   accuracy 0.8352272727272727   precision 0.638863287250384   recall 0.6239035087719298
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deviation 3/5   iterations 1421/2000   F1 0.6282662482650414   accuracy 0.8329545454545455   precision 0.6375729646697388   recall 0.6210584367835978
deviation 3/5   iterations 1431/2000   F1 0.6114644738849003   accuracy 0.8125   precision 0.6300768049155145   recall 0.6010057635787626
deviation 3/5   iterations 1441/2000   F1 0.6243264759838931   accuracy 0.8318181818181818   precision 0.632811059907834   recall 0.6176787639238231
deviation 3/5   iterations 1451/2000   F1 0.6382585145869353   accuracy 0.8454545454545455   precision 0.6405529953917051   recall 0.6360975261485738
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deviation 3/5   iterations 1461/2000   F1 0.6177874174699997   accuracy 0.8193181818181818   precision 0.6339477726574501   recall 0.607724541429475
deviation 3/5   iterations 1471/2000   F1 0.6204334415716529   accuracy 0.8193181818181818   precision 0.6380645161290323   recall 0.609721082854799
deviation 3/5   iterations 1481/2000   F1 0.6225831580360086   accuracy 0.8329545454545455   precision 0.6293394777265745   recall 0.6170536945593665
deviation 3/5   iterations 1491/2000   F1 0.6254102676121025   accuracy 0.8272727272727273   precision 0.6384639016897081   recall 0.616304875153542
deviation 3/5   iterations 1501/2000   F1 0.6003261800803064   accuracy 0.8   precision 0.6229800307219662   recall 0.589970421914754
deviation 3/5   iterations 1511/2000   F1 0.6038676918090642   accuracy 0.8011363636363636   precision 0.6277419354838709   recall 0.5929752066115702
deviation 3/5   iterations 1521/2000   F1 0.6294031452273541   accuracy 0.8340909090909091   precision 0.6382181259600614   recall 0.6224697568571087
deviation 3/5   iterations 1531/2000   F1 0.6353176344400566   accuracy 0.8454545454545455   precision 0.6364362519201229   recall 0.6342324479210746
deviation 3/5   iterations 1541/2000   F1 0.6156590194530575   accuracy 0.8170454545454545   precision 0.632657450076805   recall 0.6054240400015626
deviation 3/5   iterations 1551/2000   F1 0.6204814553438407   accuracy 0.825   precision 0.6330568356374808   recall 0.6117631271999091
deviation 3/5   iterations 1561/2000   F1 0.6226755732081602   accuracy 0.8272727272727273   precision 0.6343471582181259   recall 0.6143196243895808
deviation 3/5   iterations 1571/2000   F1 0.631760367276285   accuracy 0.8420454545454545   precision 0.6345007680491551   recall 0.6292207792207792
deviation 3/5   iterations 1581/2000   F1 0.6166288635744018   accuracy 0.8238636363636364   precision 0.6282949308755761   recall 0.6084607712765957
deviation 3/5   iterations 1591/2000   F1 0.6135515592375564   accuracy 0.8147727272727273   precision 0.6313671274961598   recall 0.6031853281853282
deviation 3/5   iterations 1601/2000   F1 0.6085235108323324   accuracy 0.8181818181818182   precision 0.6209523809523809   recall 0.6003118662032838
deviation 3/5   iterations 1611/2000   F1 0.6177964992443984   accuracy 0.8340909090909091   precision 0.6217511520737327   recall 0.614311592112702
deviation 3/5   iterations 1621/2000   F1 0.6181510441361989   accuracy 0.8284090909090909   precision 0.6267588325652842   recall 0.6115424542584023
deviation 3/5   iterations 1631/2000   F1 0.6148905939187268   accuracy 0.825   precision 0.6248233486943164   recall 0.6076291390728477
deviation 3/5   iterations 1641/2000   F1 0.6109515429308127   accuracy 0.8238636363636364   precision 0.6200614439324117   recall 0.6042200034135518
deviation 3/5   iterations 1651/2000   F1 0.6174482350160905   accuracy 0.8306818181818182   precision 0.6239324116743472   recall 0.6121602384447706
deviation 3/5   iterations 1661/2000   F1 0.6030544189193543   accuracy 0.8090909090909091   precision 0.6199078341013825   recall 0.5936429332335244
deviation 3/5   iterations 1671/2000   F1 0.6148905939187268   accuracy 0.825   precision 0.6248233486943164   recall 0.6076291390728477
deviation 3/5   iterations 1681/2000   F1 0.618798467719331   accuracy 0.8261363636363637   precision 0.6295852534562212   recall 0.6109953265125678
deviation 3/5   iterations 1691/2000   F1 0.6064444174516062   accuracy 0.8159090909090909   precision 0.6196620583717358   recall 0.5980110919869956
deviation 3/5   iterations 1701/2000   F1 0.6219023998530279   accuracy 0.8352272727272727   precision 0.6265130568356375   recall 0.6178942787778847
deviation 3/5   iterations 1711/2000   F1 0.6140350877192983   accuracy 0.8181818181818182   precision 0.6291858678955453   recall 0.6045239870743226
deviation 3/5   iterations 1721/2000   F1 0.6098447164669752   accuracy 0.8136363636363636   precision 0.626605222734255   recall 0.6000252429635239
deviation 3/5   iterations 1731/2000   F1 0.6156590194530575   accuracy 0.8170454545454545   precision 0.632657450076805   recall 0.6054240400015626
deviation 3/5   iterations 1741/2000   F1 0.6304487807609396   accuracy 0.8465909090909091   precision 0.628847926267281   recall 0.632126115227582
deviation 3/5   iterations 1751/2000   F1 0.610254209546131   accuracy 0.8170454545454545   precision 0.6244239631336406   recall 0.6012864631267256
deviation 3/5   iterations 1761/2000   F1 0.6183104230615241   accuracy 0.8227272727272728   precision 0.6317665130568356   recall 0.6092805674741895
deviation 3/5   iterations 1771/2000   F1 0.6155526430755789   accuracy 0.8227272727272728   precision 0.6276497695852534   recall 0.6072213792462763
deviation 3/5   iterations 1781/2000   F1 0.6185522323363676   accuracy 0.8318181818181818   precision 0.6245775729646698   recall 0.6135587144761456
deviation 3/5   iterations 1791/2000   F1 0.6085235108323324   accuracy 0.8181818181818182   precision 0.6209523809523809   recall 0.6003118662032838
deviation 3/5   iterations 1801/2000   F1 0.6174482350160905   accuracy 0.8306818181818182   precision 0.6239324116743472   recall 0.6121602384447706
deviation 3/5   iterations 1811/2000   F1 0.6130934420717777   accuracy 0.8261363636363637   precision 0.6213517665130569   recall 0.6067844629958044
deviation 3/5   iterations 1821/2000   F1 0.6207792207792208   accuracy 0.8340909090909091   precision 0.625867895545315   recall 0.6164251207729469
deviation 3/5   iterations 1831/2000   F1 0.6189122273624604   accuracy 0.8352272727272727   precision 0.6223963133640553   recall 0.6157924107142857
deviation 3/5   iterations 1841/2000   F1 0.6301038554559681   accuracy 0.8522727272727273   precision 0.6238402457757296   recall 0.6376876938421391
deviation 3/5   iterations 1851/2000   F1 0.6047193406318856   accuracy 0.8079545454545455   precision 0.623379416282642   recall 0.5947312801932367
deviation 3/5   iterations 1861/2000   F1 0.5953635853805692   accuracy 0.803409090909091   precision 0.6125652841781875   recall 0.5864281400966184
deviation 3/5   iterations 1871/2000   F1 0.6192287065477061   accuracy 0.8386363636363636   precision 0.6202150537634409   recall 0.6182732647410865
deviation 3/5   iterations 1881/2000   F1 0.6106238308073171   accuracy 0.8204545454545454   precision 0.6222427035330261   recall 0.6026796312926435
deviation 3/5   iterations 1891/2000   F1 0.6130934420717777   accuracy 0.8261363636363637   precision 0.6213517665130569   recall 0.6067844629958044
deviation 3/5   iterations 1901/2000   F1 0.6241350835729946   accuracy 0.8465909090909091   precision 0.6206144393241168   recall 0.6280729683177619
deviation 3/5   iterations 1911/2000   F1 0.6054126469317973   accuracy 0.8147727272727273   precision 0.6190168970814132   recall 0.5968848785562803
deviation 3/5   iterations 1921/2000   F1 0.6211635433130127   accuracy 0.8375   precision 0.6236866359447004   recall 0.6188311688311688
deviation 3/5   iterations 1931/2000   F1 0.6304487807609396   accuracy 0.8465909090909091   precision 0.628847926267281   recall 0.632126115227582
deviation 3/5   iterations 1941/2000   F1 0.610254209546131   accuracy 0.8170454545454545   precision 0.6244239631336406   recall 0.6012864631267256
deviation 3/5   iterations 1951/2000   F1 0.620034542314335   accuracy 0.8363636363636363   precision 0.6230414746543779   recall 0.6172987031244508
deviation 3/5   iterations 1961/2000   F1 0.6257484571914613   accuracy 0.8420454545454545   precision 0.6262672811059908   recall 0.6252376773438643
deviation 3/5   iterations 1971/2000   F1 0.6166872605406559   accuracy 0.8329545454545455   precision 0.6211059907834102   recall 0.6128555723512437
deviation 3/5   iterations 1981/2000   F1 0.621505376344086   accuracy 0.8409090909090909   precision 0.621505376344086   recall 0.621505376344086
deviation 3/5   iterations 1991/2000   F1 0.6038493880220499   accuracy 0.8193181818181818   precision 0.6133640552995392   recall 0.5971011746873816

deviation 4/5   iterations 1/2000   F1 0.5081709121823735   accuracy 0.6772727272727272   precision 0.5491858678955452   recall 0.5248851335807857
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deviation 4/5   iterations 11/2000   F1 0.4027853680763285   accuracy 0.43977272727272726   precision 0.5954838709677419   recall 0.5431321609379164
deviation 4/5   iterations 21/2000   F1 0.510364715860899   accuracy 0.6272727272727273   precision 0.6072503840245775   recall 0.5472843017743465
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deviation 4/5   iterations 31/2000   F1 0.3480525963401251   accuracy 0.3625   precision 0.5927803379416283   recall 0.5496762817138646
deviation 4/5   iterations 41/2000   F1 0.4371345029239766   accuracy 0.4909090909090909   precision 0.6080491551459293   recall 0.5463663641493216
deviation 4/5   iterations 51/2000   F1 0.43306693306693306   accuracy 0.48409090909090907   precision 0.6082949308755761   recall 0.5467360348750259
deviation 4/5   iterations 61/2000   F1 0.39673229995810644   accuracy 0.42727272727272725   precision 0.6089708141321044   recall 0.550720409995939
deviation 4/5   iterations 71/2000   F1 0.45020362828582006   accuracy 0.509090909090909   precision 0.6183717357910906   recall 0.5503289078378817
deviation 4/5   iterations 81/2000   F1 0.4713260057649851   accuracy 0.5386363636363637   precision 0.6351459293394777   recall 0.5569349603176658
deviation 4/5   iterations 91/2000   F1 0.4862611243117673   accuracy 0.5625   precision 0.6404608294930876   recall 0.5590441358789983
deviation 4/5   iterations 101/2000   F1 0.5355434603331684   accuracy 0.6363636363636364   precision 0.6700460829493088   recall 0.5736135124351642
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deviation 4/5   iterations 111/2000   F1 0.432217363251846   accuracy 0.4784090909090909   precision 0.6215360983102919   recall 0.5530169825885581
deviation 4/5   iterations 121/2000   F1 0.5347228115066025   accuracy 0.6318181818181818   precision 0.6756989247311828   recall 0.5756037459481469
deviation 4/5   iterations 131/2000   F1 0.5059364933271974   accuracy 0.5840909090909091   precision 0.6691858678955453   recall 0.5711958629605688
deviation 4/5   iterations 141/2000   F1 0.5342826901473385   accuracy 0.6295454545454545   precision 0.6785253456221199   recall 0.5766093096592857
deviation 4/5   iterations 151/2000   F1 0.4987851356346076   accuracy 0.5727272727272728   precision 0.6668509984639017   recall 0.5701349752829419
deviation 4/5   iterations 161/2000   F1 0.5425834298347194   accuracy 0.6409090909090909   precision 0.6849769585253456   recall 0.5799512404990678
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deviation 4/5   iterations 171/2000   F1 0.5576842144720409   accuracy 0.6647727272727273   precision 0.6902918586789555   recall 0.5841594382486576
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deviation 4/5   iterations 181/2000   F1 0.519083635727714   accuracy 0.6022727272727273   precision 0.6795084485407066   recall 0.575828362896402
deviation 4/5   iterations 191/2000   F1 0.4924124044340503   accuracy 0.5625   precision 0.6651612903225806   recall 0.5694444444444444
deviation 4/5   iterations 201/2000   F1 0.5672990646826166   accuracy 0.6886363636363636   precision 0.6791397849462366   recall 0.5826206224247473
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deviation 4/5   iterations 211/2000   F1 0.5530027741960692   accuracy 0.6602272727272728   precision 0.683594470046083   recall 0.5810265532801111
deviation 4/5   iterations 221/2000   F1 0.5491772688719254   accuracy 0.6568181818181819   precision 0.677542242703533   recall 0.5782744141947718
deviation 4/5   iterations 231/2000   F1 0.5347228115066025   accuracy 0.6318181818181818   precision 0.6756989247311828   recall 0.5756037459481469
deviation 4/5   iterations 241/2000   F1 0.5111346947159412   accuracy 0.5943181818181819   precision 0.6667588325652842   recall 0.5703779769313749
deviation 4/5   iterations 251/2000   F1 0.5664442155238052   accuracy 0.6875   precision 0.678494623655914   recall 0.5822014714204867
deviation 4/5   iterations 261/2000   F1 0.5301564155876836   accuracy 0.6238636363636364   precision 0.675299539170507   recall 0.5749858071027566
deviation 4/5   iterations 271/2000   F1 0.524255698293643   accuracy 0.6125   precision 0.6770814132104455   recall 0.5751836547291093
deviation 4/5   iterations 281/2000   F1 0.5446438888135321   accuracy 0.6488636363636363   precision 0.6771428571428572   recall 0.5774150931236708
deviation 4/5   iterations 291/2000   F1 0.5450876806809011   accuracy 0.6477272727272727   precision 0.6806144393241167   recall 0.5787179116388429
deviation 4/5   iterations 301/2000   F1 0.5484273438914937   accuracy 0.6522727272727272   precision 0.6831950844854071   recall 0.5801344937134133
deviation 4/5   iterations 311/2000   F1 0.5672990646826166   accuracy 0.6886363636363636   precision 0.6791397849462366   recall 0.5826206224247473
deviation 4/5   iterations 321/2000   F1 0.5384463137060861   accuracy 0.6386363636363637   precision 0.6754531490015361   recall 0.5759542492352706
deviation 4/5   iterations 331/2000   F1 0.5727094833377144   accuracy 0.6977272727272728   precision 0.680184331797235   recall 0.58440354825897
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deviation 4/5   iterations 341/2000   F1 0.5619139080329907   accuracy 0.6795454545454546   precision 0.6780952380952381   recall 0.58098223615465
deviation 4/5   iterations 351/2000   F1 0.5647383805539337   accuracy 0.6852272727272727   precision 0.6772043010752689   recall 0.5813696280245576
deviation 4/5   iterations 361/2000   F1 0.5757504686066143   accuracy 0.7056818181818182   precision 0.6764669738863287   recall 0.5842248498498499
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deviation 4/5   iterations 371/2000   F1 0.5681552225284059   accuracy 0.6897727272727273   precision 0.679784946236559   recall 0.583041958041958
deviation 4/5   iterations 381/2000   F1 0.571846385130518   accuracy 0.696590909090909   precision 0.6795391705069125   recall 0.5839655172413794
deviation 4/5   iterations 391/2000   F1 0.5726385146600814   accuracy 0.7056818181818182   precision 0.6682334869431643   recall 0.580879572738444
deviation 4/5   iterations 401/2000   F1 0.5678810637268294   accuracy 0.6875   precision 0.6826113671274963   recall 0.5838524738172626
deviation 4/5   iterations 411/2000   F1 0.5802879719504492   accuracy 0.7056818181818182   precision 0.6888172043010752   recall 0.5891841378189501
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deviation 4/5   iterations 421/2000   F1 0.5650209015930403   accuracy 0.6818181818181818   precision 0.6835023041474655   recall 0.5834408998709202
deviation 4/5   iterations 431/2000   F1 0.5976608747561747   accuracy 0.7397727272727272   precision 0.6834715821812596   recall 0.5943408148822161
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deviation 4/5   iterations 441/2000   F1 0.5764092538286087   accuracy 0.7045454545454546   precision 0.6799385560675884   recall 0.5854293198910145
deviation 4/5   iterations 451/2000   F1 0.5720778994383064   accuracy 0.6988636363636364   precision 0.6767127496159755   recall 0.5831867826730841
deviation 4/5   iterations 461/2000   F1 0.5822326357782218   accuracy 0.7181818181818181   precision 0.6753302611367127   recall 0.5860986898878168
deviation 4/5   iterations 471/2000   F1 0.5770469524288311   accuracy 0.7034090909090909   precision 0.683410138248848   recall 0.5866302152260221
deviation 4/5   iterations 481/2000   F1 0.5880954706782586   accuracy 0.7386363636363636   precision 0.6622427035330261   recall 0.5852924265622679
deviation 4/5   iterations 491/2000   F1 0.5797395812355794   accuracy 0.7170454545454545   precision 0.6705683563748079   recall 0.5839299535603715
deviation 4/5   iterations 501/2000   F1 0.5925258664790247   accuracy 0.7397727272727272   precision 0.6711213517665131   recall 0.5892834243799852
deviation 4/5   iterations 511/2000   F1 0.5868134094712623   accuracy 0.7261363636363637   precision 0.6757296466973887   recall 0.5879329004329004
deviation 4/5   iterations 521/2000   F1 0.5820636934931117   accuracy 0.7159090909090909   precision 0.6781566820276498   recall 0.5867952655495088
deviation 4/5   iterations 531/2000   F1 0.5905266721975927   accuracy 0.7329545454545454   precision 0.675483870967742   recall 0.5893930288461539
deviation 4/5   iterations 541/2000   F1 0.5968850206138343   accuracy 0.740909090909091   precision 0.6799999999999999   recall 0.5932255169648483
deviation 4/5   iterations 551/2000   F1 0.588967140422073   accuracy 0.7375   precision 0.6657142857142857   recall 0.5864622605216588
deviation 4/5   iterations 561/2000   F1 0.5854084143651213   accuracy 0.7352272727272727   precision 0.6603072196620583   recall 0.5836410966633325
deviation 4/5   iterations 571/2000   F1 0.5778464175535798   accuracy 0.7125   precision 0.6721044546850998   recall 0.5836838834580176
deviation 4/5   iterations 581/2000   F1 0.5891690009337068   accuracy 0.725   precision 0.6833179723502304   recall 0.5907616863086294
deviation 4/5   iterations 591/2000   F1 0.6027808713846985   accuracy 0.7568181818181818   precision 0.6725652841781874   recall 0.5947338950691825
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deviation 4/5   iterations 601/2000   F1 0.603748258075806   accuracy 0.7602272727272728   precision 0.670384024577573   recall 0.5949163449163449
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deviation 4/5   iterations 611/2000   F1 0.5912969551938034   accuracy 0.7318181818181818   precision 0.6789554531490016   recall 0.5905408514104167
deviation 4/5   iterations 621/2000   F1 0.6021917808219178   accuracy 0.775   precision 0.6499539170506913   recall 0.5913531723750702
deviation 4/5   iterations 631/2000   F1 0.6050732892838155   accuracy 0.7784090909090909   precision 0.651889400921659   recall 0.5935683139534884
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deviation 4/5   iterations 641/2000   F1 0.5971593299185906   accuracy 0.7477272727272727   precision 0.671520737327189   recall 0.5915900545307794
deviation 4/5   iterations 651/2000   F1 0.5950574602259995   accuracy 0.7386363636363636   precision 0.6787096774193548   recall 0.5921116804641529
deviation 4/5   iterations 661/2000   F1 0.6064931996895144   accuracy 0.759090909090909   precision 0.6779723502304147   recall 0.5977022350250623
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deviation 4/5   iterations 671/2000   F1 0.5981299875318342   accuracy 0.7556818181818182   precision 0.6636866359447005   recall 0.5906467770034843
deviation 4/5   iterations 681/2000   F1 0.5914577530176415   accuracy 0.7545454545454545   precision 0.6506912442396313   recall 0.5847097589787164
deviation 4/5   iterations 691/2000   F1 0.5969722285511759   accuracy 0.7738636363636363   precision 0.6410752688172043   recall 0.586906492248062
deviation 4/5   iterations 701/2000   F1 0.6035851313357254   accuracy 0.7693181818181818   precision 0.6590783410138248   recall 0.5932341332718735
deviation 4/5   iterations 711/2000   F1 0.5947605403192795   accuracy 0.7340909090909091   precision 0.6843625192012288   recall 0.5932765063199846
deviation 4/5   iterations 721/2000   F1 0.6037496418191494   accuracy 0.7625   precision 0.667557603686636   recall 0.5944801685190831
deviation 4/5   iterations 731/2000   F1 0.6065889473503215   accuracy 0.7636363636363637   precision 0.6723195084485407   recall 0.59686789767821
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deviation 4/5   iterations 741/2000   F1 0.6103238866396761   accuracy 0.7772727272727272   precision 0.663594470046083   recall 0.5982334580390941
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deviation 4/5   iterations 751/2000   F1 0.6023713128976287   accuracy 0.7727272727272727   precision 0.6527803379416283   recall 0.5917399036297493
deviation 4/5   iterations 761/2000   F1 0.6017415337404011   accuracy 0.7875   precision 0.6364669738863287   recall 0.590399205496402
deviation 4/5   iterations 771/2000   F1 0.5987391981867121   accuracy 0.7659090909090909   precision 0.6530261136712749   recall 0.5893863370444545
deviation 4/5   iterations 781/2000   F1 0.6062639821029083   accuracy 0.7954545454545454   precision 0.6368663594470046   recall 0.5944055944055944
deviation 4/5   iterations 791/2000   F1 0.6040413956722706   accuracy 0.7875   precision 0.6405837173579109   recall 0.5923295454545454
deviation 4/5   iterations 801/2000   F1 0.5941552511415524   accuracy 0.7704545454545455   precision 0.6391397849462366   recall 0.5847651132322665
deviation 4/5   iterations 811/2000   F1 0.6043124091560268   accuracy 0.8045454545454546   precision 0.6255606758832565   recall 0.593808242822648
deviation 4/5   iterations 821/2000   F1 0.5935202120114964   accuracy 0.775   precision 0.6334869431643625   recall 0.5838214073508191
deviation 4/5   iterations 831/2000   F1 0.6064541519086973   accuracy 0.7727272727272727   precision 0.6610138248847925   recall 0.5953387518099992
deviation 4/5   iterations 841/2000   F1 0.5974820849034   accuracy 0.7852272727272728   precision 0.6310599078341014   recall 0.5868174269805607
deviation 4/5   iterations 851/2000   F1 0.6171518573578918   accuracy 0.7875   precision 0.6652841781874039   recall 0.6033851924732505
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deviation 4/5   iterations 861/2000   F1 0.6004324801633592   accuracy 0.7943181818181818   precision 0.6279877112135177   recall 0.589540561917535
deviation 4/5   iterations 871/2000   F1 0.6212464898995186   accuracy 0.7897727272727273   precision 0.6706912442396313   recall 0.6067673102939368
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deviation 4/5   iterations 881/2000   F1 0.6052726141767797   accuracy 0.7943181818181818   precision 0.636221198156682   recall 0.5935253619520097
deviation 4/5   iterations 891/2000   F1 0.6056565656565657   accuracy 0.7920454545454545   precision 0.6390476190476191   recall 0.593744821872411
deviation 4/5   iterations 901/2000   F1 0.6058419140220028   accuracy 0.7977272727272727   precision 0.6340399385560676   recall 0.5942259349165075
deviation 4/5   iterations 911/2000   F1 0.6046720575022462   accuracy 0.7909090909090909   precision 0.6384024577572964   recall 0.5928950255280891
deviation 4/5   iterations 921/2000   F1 0.6062100456621005   accuracy 0.7772727272727272   precision 0.6553609831029186   recall 0.594647201946472
deviation 4/5   iterations 931/2000   F1 0.6181493039727901   accuracy 0.775   precision 0.6828878648233487   recall 0.6054307553893128
deviation 4/5   iterations 941/2000   F1 0.6020966958618726   accuracy 0.7852272727272728   precision 0.6392933947772658   recall 0.5907119305995711
deviation 4/5   iterations 951/2000   F1 0.6155526430755789   accuracy 0.8227272727272728   precision 0.6276497695852534   recall 0.6072213792462763
deviation 4/5   iterations 961/2000   F1 0.6033018763348286   accuracy 0.7920454545454545   precision 0.6349308755760369   recall 0.5917937399678973
deviation 4/5   iterations 971/2000   F1 0.6157352757704009   accuracy 0.7931818181818182   precision 0.6561597542242703   recall 0.6021248724192524
deviation 4/5   iterations 981/2000   F1 0.6038676918090642   accuracy 0.8011363636363636   precision 0.6277419354838709   recall 0.5929752066115702
deviation 4/5   iterations 991/2000   F1 0.6114644738849003   accuracy 0.8125   precision 0.6300768049155145   recall 0.6010057635787626
deviation 4/5   iterations 1001/2000   F1 0.6063787096889626   accuracy 0.8011363636363636   precision 0.6318586789554532   recall 0.5950028332625018
deviation 4/5   iterations 1011/2000   F1 0.6023105053191489   accuracy 0.8022727272727272   precision 0.6242703533026114   recall 0.5918658418045222
deviation 4/5   iterations 1021/2000   F1 0.6068404114343409   accuracy 0.7988636363636363   precision 0.6346850998463902   recall 0.5951388888888889
deviation 4/5   iterations 1031/2000   F1 0.6058725609740312   accuracy 0.803409090909091   precision 0.6290322580645161   recall 0.5948886639676113
deviation 4/5   iterations 1041/2000   F1 0.6003287339417795   accuracy 0.8090909090909091   precision 0.6157910906298003   recall 0.5914814706938902
deviation 4/5   iterations 1051/2000   F1 0.6019790282085363   accuracy 0.7772727272727272   precision 0.6471274961597542   recall 0.5909771350846131
deviation 4/5   iterations 1061/2000   F1 0.6099436377888097   accuracy 0.7840909090909091   precision 0.6551152073732719   recall 0.5974025974025974
deviation 4/5   iterations 1071/2000   F1 0.6058377813444814   accuracy 0.7818181818181819   precision 0.6497081413210446   recall 0.5940072998896528
deviation 4/5   iterations 1081/2000   F1 0.61469939910016   accuracy 0.8022727272727272   precision 0.6448540706605222   recall 0.6018279356248758
deviation 4/5   iterations 1091/2000   F1 0.6203546869344915   accuracy 0.8306818181818182   precision 0.6280491551459293   recall 0.6142543859649123
deviation 4/5   iterations 1101/2000   F1 0.6083949181883892   accuracy 0.803409090909091   precision 0.6331490015360983   recall 0.5969106650924833
deviation 4/5   iterations 1111/2000   F1 0.5977393617021276   accuracy 0.8   precision 0.6188632872503841   recall 0.5878687124701352
deviation 4/5   iterations 1121/2000   F1 0.6232086462006201   accuracy 0.8306818181818182   precision 0.6321658986175116   recall 0.616300445521
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deviation 4/5   iterations 1131/2000   F1 0.6199373347747986   accuracy 0.821590909090909   precision 0.6352380952380953   recall 0.6100896322676164
deviation 4/5   iterations 1141/2000   F1 0.6135515592375564   accuracy 0.8147727272727273   precision 0.6313671274961598   recall 0.6031853281853282
deviation 4/5   iterations 1151/2000   F1 0.6036914148557295   accuracy 0.7897727272727273   precision 0.6377572964669739   recall 0.5920542635658914
deviation 4/5   iterations 1161/2000   F1 0.6089134276542125   accuracy 0.8068181818181818   precision 0.6309677419354839   recall 0.5978479420486784
deviation 4/5   iterations 1171/2000   F1 0.6193930938262993   accuracy 0.8238636363636364   precision 0.6324116743471582   recall 0.6105128205128205
deviation 4/5   iterations 1181/2000   F1 0.6140750958832019   accuracy 0.8125   precision 0.6341935483870969   recall 0.6030344202898551
deviation 4/5   iterations 1191/2000   F1 0.610254209546131   accuracy 0.8170454545454545   precision 0.6244239631336406   recall 0.6012864631267256
deviation 4/5   iterations 1201/2000   F1 0.6108845973344619   accuracy 0.8147727272727273   precision 0.6272503840245776   recall 0.6011269971483261
deviation 4/5   iterations 1211/2000   F1 0.6108845973344619   accuracy 0.8147727272727273   precision 0.6272503840245776   recall 0.6011269971483261
deviation 4/5   iterations 1221/2000   F1 0.6220970180019239   accuracy 0.8295454545454546   precision 0.6315207373271889   recall 0.6149434545864613
deviation 4/5   iterations 1231/2000   F1 0.5999095783455377   accuracy 0.7965909090909091   precision 0.6251612903225807   recall 0.5892825835407973
deviation 4/5   iterations 1241/2000   F1 0.6081720065887418   accuracy 0.8147727272727273   precision 0.6231336405529955   recall 0.599027514231499
deviation 4/5   iterations 1251/2000   F1 0.617710778118794   accuracy 0.825   precision 0.6289400921658986   recall 0.609718605891395
deviation 4/5   iterations 1261/2000   F1 0.6092105263157894   accuracy 0.8159090909090909   precision 0.6237788018433179   recall 0.6001491424310217
deviation 4/5   iterations 1271/2000   F1 0.6099362395776233   accuracy 0.8079545454545455   precision 0.6316129032258064   recall 0.598859105006646
deviation 4/5   iterations 1281/2000   F1 0.6160983102918587   accuracy 0.8386363636363636   precision 0.6160983102918587   recall 0.6160983102918587
deviation 4/5   iterations 1291/2000   F1 0.6068816489361701   accuracy 0.8045454545454546   precision 0.6296774193548387   recall 0.5958629711389093
deviation 4/5   iterations 1301/2000   F1 0.6141731374969713   accuracy 0.8272727272727273   precision 0.6219969278033795   recall 0.6080967780572524
deviation 4/5   iterations 1311/2000   F1 0.6193606989921709   accuracy 0.8181818181818182   precision 0.6374193548387097   recall 0.6085690152331575
deviation 4/5   iterations 1321/2000   F1 0.6234420095232025   accuracy 0.8397727272727272   precision 0.6249769585253456   recall 0.6219775474956822
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deviation 4/5   iterations 1331/2000   F1 0.6123133119961721   accuracy 0.8284090909090909   precision 0.6185253456221198   recall 0.6072667823301748
deviation 4/5   iterations 1341/2000   F1 0.6148905939187268   accuracy 0.825   precision 0.6248233486943164   recall 0.6076291390728477
deviation 4/5   iterations 1351/2000   F1 0.615971523022028   accuracy 0.8261363636363637   precision 0.625468509984639   recall 0.6089136371394436
deviation 4/5   iterations 1361/2000   F1 0.6229648671808055   accuracy 0.8454545454545455   precision 0.6199692780337942   recall 0.6262626262626263
deviation 4/5   iterations 1371/2000   F1 0.6309053241652791   accuracy 0.85   precision 0.6266666666666667   recall 0.6357124988479415
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deviation 4/5   iterations 1381/2000   F1 0.610254209546131   accuracy 0.8170454545454545   precision 0.6244239631336406   recall 0.6012864631267256
deviation 4/5   iterations 1391/2000   F1 0.6151220344768731   accuracy 0.8136363636363636   precision 0.6348387096774193   recall 0.6041123056048429
deviation 4/5   iterations 1401/2000   F1 0.6335131833452103   accuracy 0.8465909090909091   precision 0.6329646697388633   recall 0.6340701823949246
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deviation 4/5   iterations 1411/2000   F1 0.6062569819159118   accuracy 0.8284090909090909   precision 0.6102918586789554   recall 0.6027781594979617
deviation 4/5   iterations 1421/2000   F1 0.6112351190476191   accuracy 0.8272727272727273   precision 0.6178801843317973   recall 0.6059254187877516
deviation 4/5   iterations 1431/2000   F1 0.6204814553438407   accuracy 0.825   precision 0.6330568356374808   recall 0.6117631271999091
deviation 4/5   iterations 1441/2000   F1 0.6081720065887418   accuracy 0.8147727272727273   precision 0.6231336405529955   recall 0.599027514231499
deviation 4/5   iterations 1451/2000   F1 0.6197206370187724   accuracy 0.8454545454545455   precision 0.6158525345622119   recall 0.6241260812892523
deviation 4/5   iterations 1461/2000   F1 0.6125608348504861   accuracy 0.8318181818181818   precision 0.6163440860215054   recall 0.6092349228692412
deviation 4/5   iterations 1471/2000   F1 0.6090964682535105   accuracy 0.825   precision 0.616589861751152   recall 0.6033057851239669
deviation 4/5   iterations 1481/2000   F1 0.6041385515069726   accuracy 0.8261363636363637   precision 0.6090015360983103   recall 0.6000857555515436
deviation 4/5   iterations 1491/2000   F1 0.6323068566414574   accuracy 0.8636363636363636   precision 0.617941628264209   recall 0.6552214908379292
deviation 4/5   iterations 1501/2000   F1 0.6162810759940397   accuracy 0.8420454545454545   precision 0.6139170506912442   recall 0.6188461538461538
deviation 4/5   iterations 1511/2000   F1 0.6123573559846074   accuracy 0.8193181818181818   precision 0.6257142857142857   recall 0.6036096256684492
deviation 4/5   iterations 1521/2000   F1 0.6083994612207353   accuracy 0.8306818181818182   precision 0.6115821812596006   recall 0.6055617559523809
deviation 4/5   iterations 1531/2000   F1 0.6246416537987177   accuracy 0.8534090909090909   precision 0.6162519201228879   recall 0.6357323232323233
deviation 4/5   iterations 1541/2000   F1 0.6232086462006201   accuracy 0.8306818181818182   precision 0.6321658986175116   recall 0.616300445521
deviation 4/5   iterations 1551/2000   F1 0.6187224356238441   accuracy 0.8477272727272728   precision 0.6130261136712749   recall 0.6256643576396005
deviation 4/5   iterations 1561/2000   F1 0.6141282934455191   accuracy 0.8431818181818181   precision 0.6104454685099847   recall 0.6183328725099076
deviation 4/5   iterations 1571/2000   F1 0.6138657305835893   accuracy 0.8363636363636363   precision 0.6148079877112135   recall 0.6129535370144237
deviation 4/5   iterations 1581/2000   F1 0.6005419434424497   accuracy 0.8511363636363637   precision 0.5902611367127496   recall 0.6174147963424771
deviation 4/5   iterations 1591/2000   F1 0.601861607043987   accuracy 0.8375   precision 0.5989861751152074   recall 0.6051072602954225
deviation 4/5   iterations 1601/2000   F1 0.6063660117411518   accuracy 0.8352272727272727   precision 0.6059293394777265   recall 0.6068100713719271
deviation 4/5   iterations 1611/2000   F1 0.6125608348504861   accuracy 0.8318181818181818   precision 0.6163440860215054   recall 0.6092349228692412
deviation 4/5   iterations 1621/2000   F1 0.622249528958794   accuracy 0.8511363636363637   precision 0.6149615975422427   recall 0.6315752461322082
deviation 4/5   iterations 1631/2000   F1 0.6090964682535105   accuracy 0.825   precision 0.616589861751152   recall 0.6033057851239669
deviation 4/5   iterations 1641/2000   F1 0.6040197990100495   accuracy 0.8227272727272728   precision 0.6111827956989248   recall 0.5985147921906815
deviation 4/5   iterations 1651/2000   F1 0.611306047017834   accuracy 0.8579545454545454   precision 0.5982488479262673   recall 0.6340453356582388
deviation 4/5   iterations 1661/2000   F1 0.6073410157917201   accuracy 0.8431818181818181   precision 0.6022119815668203   recall 0.6136410214370619
deviation 4/5   iterations 1671/2000   F1 0.5947368421052632   accuracy 0.8090909090909091   precision 0.6075576036866359   recall 0.5870246085011186
deviation 4/5   iterations 1681/2000   F1 0.6176735069160276   accuracy 0.8534090909090909   precision 0.6080184331797235   recall 0.6314608758076095
deviation 4/5   iterations 1691/2000   F1 0.6074544012688343   accuracy 0.8363636363636363   precision 0.6065745007680492   recall 0.6083642588496958
deviation 4/5   iterations 1701/2000   F1 0.6095937143364164   accuracy 0.8352272727272727   precision 0.6100460829493087   recall 0.6091487494515138
deviation 4/5   iterations 1711/2000   F1 0.6141282934455191   accuracy 0.8431818181818181   precision 0.6104454685099847   recall 0.6183328725099076
deviation 4/5   iterations 1721/2000   F1 0.6027977704610583   accuracy 0.8534090909090909   precision 0.5915514592933948   recall 0.6219232783451165
deviation 4/5   iterations 1731/2000   F1 0.5866501177400139   accuracy 0.8284090909090909   precision 0.5855913978494623   recall 0.587769040778265
deviation 4/5   iterations 1741/2000   F1 0.6118755985684763   accuracy 0.8409090909090909   precision 0.6091551459293395   recall 0.6148812064305023
deviation 4/5   iterations 1751/2000   F1 0.6187224356238441   accuracy 0.8477272727272728   precision 0.6130261136712749   recall 0.6256643576396005
deviation 4/5   iterations 1761/2000   F1 0.6256061004640951   accuracy 0.8511363636363637   precision 0.6190783410138249   recall 0.6336625468991393
deviation 4/5   iterations 1771/2000   F1 0.615265558034076   accuracy 0.8443181818181819   precision 0.6110906298003072   recall 0.6201105442176871
deviation 4/5   iterations 1781/2000   F1 0.6094487768579047   accuracy 0.8488636363636364   precision 0.601321044546851   recall 0.6207457090972995
deviation 4/5   iterations 1791/2000   F1 0.6199735180644632   accuracy 0.8625   precision 0.6049462365591398   recall 0.6467959295929593
deviation 4/5   iterations 1801/2000   F1 0.6095829636202307   accuracy 0.8454545454545455   precision 0.6035023041474654   recall 0.6173066477248986
deviation 4/5   iterations 1811/2000   F1 0.6118550117839133   accuracy 0.8477272727272728   precision 0.6047926267281105   recall 0.6211309819741757
deviation 4/5   iterations 1821/2000   F1 0.5907345651194231   accuracy 0.8534090909090909   precision 0.5792012288786482   recall 0.613668430335097
deviation 4/5   iterations 1831/2000   F1 0.6067354148924509   accuracy 0.8193181818181818   precision 0.6174807987711214   recall 0.5993184840425532
deviation 4/5   iterations 1841/2000   F1 0.6194991150057081   accuracy 0.8420454545454545   precision 0.6180337941628264   recall 0.6210368466152528
deviation 4/5   iterations 1851/2000   F1 0.6085858585858586   accuracy 0.8590909090909091   precision 0.5947772657450077   recall 0.6342728807952784
deviation 4/5   iterations 1861/2000   F1 0.6042088000514015   accuracy 0.8329545454545455   precision 0.6046390168970814   recall 0.603785773487397
deviation 4/5   iterations 1871/2000   F1 0.6054954756124475   accuracy 0.8522727272727273   precision 0.5950230414746543   recall 0.6221969373725881
deviation 4/5   iterations 1881/2000   F1 0.6118755985684763   accuracy 0.8409090909090909   precision 0.6091551459293395   recall 0.6148812064305023
deviation 4/5   iterations 1891/2000   F1 0.5907738095238095   accuracy 0.8409090909090909   precision 0.5844546850998464   recall 0.5996144424635097
deviation 4/5   iterations 1901/2000   F1 0.6039381153305203   accuracy 0.8545454545454545   precision 0.5921966205837174   recall 0.6242650103519669
deviation 4/5   iterations 1911/2000   F1 0.6089559445624372   accuracy 0.8556818181818182   precision 0.5969585253456221   recall 0.6291241162608012
deviation 4/5   iterations 1921/2000   F1 0.5970797656602073   accuracy 0.8556818181818182   precision 0.5846082949308756   recall 0.6214285714285714
deviation 4/5   iterations 1931/2000   F1 0.6016503058756579   accuracy 0.8409090909090909   precision 0.5968049155145929   recall 0.6076293533357926
deviation 4/5   iterations 1941/2000   F1 0.5966395963596793   accuracy 0.8511363636363637   precision 0.5861443932411674   recall 0.6147224404294318
deviation 4/5   iterations 1951/2000   F1 0.5991807979028427   accuracy 0.8420454545454545   precision 0.5933333333333334   recall 0.6068213783403658
deviation 4/5   iterations 1961/2000   F1 0.5970264134766216   accuracy 0.8397727272727272   precision 0.5920430107526882   recall 0.6033160450231737
deviation 4/5   iterations 1971/2000   F1 0.5977028754100221   accuracy 0.8443181818181819   precision 0.5905069124423963   recall 0.6078583562767266
deviation 4/5   iterations 1981/2000   F1 0.5950408748849547   accuracy 0.8454545454545455   precision 0.5870353302611366   recall 0.6070656528245983
deviation 4/5   iterations 1991/2000   F1 0.5926303120081474   accuracy 0.8238636363636364   precision 0.5953609831029186   recall 0.5902157738095238

deviation 5/5   iterations 1/2000   F1 0.11722983575687833   accuracy 0.12627986348122866   precision 0.48786600496277915   recall 0.424537037037037
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deviation 5/5   iterations 21/2000   F1 0.5082815580857657   accuracy 0.7007963594994312   precision 0.5347828784119106   recall 0.5190519877675841
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deviation 5/5   iterations 31/2000   F1 0.3411954550304065   accuracy 0.36063708759954494   precision 0.5500062034739455   recall 0.525329939668175
deviation 5/5   iterations 41/2000   F1 0.4111054334866292   accuracy 0.4630261660978385   precision 0.5664454094292803   recall 0.5285459197270934
deviation 5/5   iterations 51/2000   F1 0.41758153881304627   accuracy 0.472127417519909   precision 0.571606699751861   recall 0.5305794275662559
deviation 5/5   iterations 61/2000   F1 0.3688916931378095   accuracy 0.3993174061433447   precision 0.5552915632754343   recall 0.5257818737200181
deviation 5/5   iterations 71/2000   F1 0.4054464714589603   accuracy 0.45051194539249145   precision 0.5759987593052109   recall 0.5332153043629146
deviation 5/5   iterations 81/2000   F1 0.3954004371026969   accuracy 0.43572241183162685   precision 0.5717741935483871   recall 0.5318929587403798
deviation 5/5   iterations 91/2000   F1 0.43526077097505667   accuracy 0.49715585893060293   precision 0.5858002481389578   recall 0.5361727168113819
deviation 5/5   iterations 101/2000   F1 0.444641792033932   accuracy 0.5119453924914675   precision 0.5900248138957817   recall 0.5377346715897863
deviation 5/5   iterations 111/2000   F1 0.3958263600487613   accuracy 0.4323094425483504   precision 0.5864888337468983   recall 0.538970259391771
deviation 5/5   iterations 121/2000   F1 0.46306982243139394   accuracy 0.5415244596131968   precision 0.5984739454094293   recall 0.5410902878442742
deviation 5/5   iterations 131/2000   F1 0.44073078571150326   accuracy 0.49829351535836175   precision 0.6072580645161291   recall 0.54542874859431
deviation 5/5   iterations 141/2000   F1 0.4127290098961566   accuracy 0.4550625711035267   precision 0.5993920595533498   recall 0.543713849176034
deviation 5/5   iterations 151/2000   F1 0.45890678708633825   accuracy 0.5324232081911263   precision 0.6016377171215881   recall 0.5424394388378888
deviation 5/5   iterations 161/2000   F1 0.46360935842480544   accuracy 0.534698521046644   precision 0.6154156327543424   recall 0.5482194692100353
deviation 5/5   iterations 171/2000   F1 0.4558013655821413   accuracy 0.5221843003412969   precision 0.6124813895781638   recall 0.5471333208559486
deviation 5/5   iterations 181/2000   F1 0.49891624864828815   accuracy 0.5915813424345847   precision 0.6310235732009926   recall 0.5551882897666106
deviation 5/5   iterations 191/2000   F1 0.4988533285501974   accuracy 0.5949943117178612   precision 0.6246339950372208   recall 0.5526742173981438
deviation 5/5   iterations 201/2000   F1 0.4849408180007032   accuracy 0.5620022753128555   precision 0.6392245657568238   recall 0.5581003417210314
deviation 5/5   iterations 211/2000   F1 0.49606261081473735   accuracy 0.5824800910125142   precision 0.6383498759305211   recall 0.5579730488489613
deviation 5/5   iterations 221/2000   F1 0.5008674916357447   accuracy 0.5893060295790671   precision 0.6422208436724566   recall 0.5597124550711049
deviation 5/5   iterations 231/2000   F1 0.5181733850565019   accuracy 0.6154721274175199   precision 0.6528970223325061   recall 0.5649905073304504
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deviation 5/5   iterations 241/2000   F1 0.5108903020667728   accuracy 0.6018202502844141   precision 0.6534801488833747   recall 0.5646762657632223
deviation 5/5   iterations 251/2000   F1 0.5380790686393402   accuracy 0.6450511945392492   precision 0.6655086848635235   recall 0.5719121959634293
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deviation 5/5   iterations 261/2000   F1 0.5018744551002616   accuracy 0.5858930602957907   precision 0.652772952853598   recall 0.5639629110176094
deviation 5/5   iterations 271/2000   F1 0.535118037028054   accuracy 0.6427758816837316   precision 0.6600558312655087   recall 0.5695429748145593
deviation 5/5   iterations 281/2000   F1 0.5201903440835356   accuracy 0.6131968145620023   precision 0.6640942928039701   recall 0.5694249060406912
deviation 5/5   iterations 291/2000   F1 0.5582969865718164   accuracy 0.6803185437997725   precision 0.6688585607940447   recall 0.5768240779417243
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deviation 5/5   iterations 301/2000   F1 0.5149355790685957   accuracy 0.6075085324232082   precision 0.6567059553349877   recall 0.5661948136346484
deviation 5/5   iterations 311/2000   F1 0.5311767044325184   accuracy 0.6336746302616609   precision 0.6632196029776675   recall 0.5701776378960846
deviation 5/5   iterations 321/2000   F1 0.5282647584973166   accuracy 0.6313993174061433   precision 0.6577667493796526   recall 0.5678331377360504
deviation 5/5   iterations 331/2000   F1 0.5028280542986425   accuracy 0.590443686006826   precision 0.6470285359801489   recall 0.561709140899197
deviation 5/5   iterations 341/2000   F1 0.5616749327164551   accuracy 0.6848691695108078   precision 0.671439205955335   recall 0.5784534150911259
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deviation 5/5   iterations 351/2000   F1 0.54137473065091   accuracy 0.6496018202502845   precision 0.6680893300248139   recall 0.5733164491200727
deviation 5/5   iterations 361/2000   F1 0.5471747520473742   accuracy 0.6575654152445961   precision 0.672605459057072   recall 0.5758320705556585
deviation 5/5   iterations 371/2000   F1 0.5582969865718164   accuracy 0.6803185437997725   precision 0.6688585607940447   recall 0.5768240779417243
deviation 5/5   iterations 381/2000   F1 0.5480069110206096   accuracy 0.658703071672355   precision 0.6732506203473945   recall 0.5761977518280039
deviation 5/5   iterations 391/2000   F1 0.5760346097201767   accuracy 0.70193401592719   precision 0.6852791563275434   recall 0.5865369013953919
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deviation 5/5   iterations 401/2000   F1 0.5491459154015   accuracy 0.6621160409556314   precision 0.6710235732009926   recall 0.5756392669007901
deviation 5/5   iterations 411/2000   F1 0.5491459154015   accuracy 0.6621160409556314   precision 0.6710235732009926   recall 0.5756392669007901
deviation 5/5   iterations 421/2000   F1 0.5786529019075838   accuracy 0.7053469852104665   precision 0.6872146401985111   recall 0.5878839590443686
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deviation 5/5   iterations 431/2000   F1 0.518591159283786   accuracy 0.6143344709897611   precision 0.6564143920595533   recall 0.5663638086414554
deviation 5/5   iterations 441/2000   F1 0.5751648880745813   accuracy 0.7007963594994312   precision 0.6846339950372209   recall 0.5860928876392794
deviation 5/5   iterations 451/2000   F1 0.5485988702133271   accuracy 0.6632536973833902   precision 0.6675062034739454   recall 0.5743430761436973
deviation 5/5   iterations 461/2000   F1 0.5731744799102312   accuracy 0.6962457337883959   precision 0.6862158808933003   recall 0.5859976622662266
deviation 5/5   iterations 471/2000   F1 0.5704216390866792   accuracy 0.6985210466439136   precision 0.6750186104218363   recall 0.5818812398421175
deviation 5/5   iterations 481/2000   F1 0.5493478617521601   accuracy 0.658703071672355   precision 0.6774131513647643   recall 0.5778610866085139
deviation 5/5   iterations 491/2000   F1 0.5601959477400441   accuracy 0.6848691695108078   precision 0.6672766749379653   recall 0.5767778638299811
deviation 5/5   iterations 501/2000   F1 0.5906735967691078   accuracy 0.7463026166097838   precision 0.6604900744416874   recall 0.5859398875881955
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deviation 5/5   iterations 511/2000   F1 0.5852130749978597   accuracy 0.7303754266211604   precision 0.6681079404466501   recall 0.5851527149321267
deviation 5/5   iterations 521/2000   F1 0.5719921785139177   accuracy 0.7110352673492605   precision 0.661302729528536   recall 0.5784279423297339
deviation 5/5   iterations 531/2000   F1 0.5726430888848951   accuracy 0.7076222980659841   precision 0.6676923076923077   recall 0.5804341875052071
deviation 5/5   iterations 541/2000   F1 0.5693173541680461   accuracy 0.7053469852104665   precision 0.6622394540942929   recall 0.5778187076732644
deviation 5/5   iterations 551/2000   F1 0.5633714282617767   accuracy 0.6871444823663254   precision 0.6727295285359802   recall 0.579280654199221
deviation 5/5   iterations 561/2000   F1 0.5267702153994777   accuracy 0.6348122866894198   precision 0.6472146401985112   recall 0.5637861520266638
deviation 5/5   iterations 571/2000   F1 0.5609086674013137   accuracy 0.6962457337883959   precision 0.6529156327543424   recall 0.5725409643092569
deviation 5/5   iterations 581/2000   F1 0.5711988430947216   accuracy 0.7121729237770194   precision 0.6577853598014889   recall 0.5771842833559915
deviation 5/5   iterations 591/2000   F1 0.5737909044360657   accuracy 0.7155858930602957   precision 0.6597208436724566   recall 0.5786177541099738
deviation 5/5   iterations 601/2000   F1 0.5571885053750338   accuracy 0.6848691695108078   precision 0.6589516129032258   recall 0.5734065594059405
deviation 5/5   iterations 611/2000   F1 0.5842249346996182   accuracy 0.7428896473265074   precision 0.6502295285359802   recall 0.580667403933273
deviation 5/5   iterations 621/2000   F1 0.58789610347978   accuracy 0.7337883959044369   precision 0.6700434243176179   recall 0.5867414748993697
deviation 5/5   iterations 631/2000   F1 0.5701760371179039   accuracy 0.7064846416382252   precision 0.6628846153846153   recall 0.5782762938230385
deviation 5/5   iterations 641/2000   F1 0.5650472334682861   accuracy 0.6996587030716723   precision 0.6590136476426799   recall 0.5755698770032666
deviation 5/5   iterations 651/2000   F1 0.5747208151900234   accuracy 0.7212741751990899   precision 0.65462158808933   recall 0.5776092913189688
deviation 5/5   iterations 661/2000   F1 0.5800015496668216   accuracy 0.7474402730375427   precision 0.6361600496277916   recall 0.5756966478134915
deviation 5/5   iterations 671/2000   F1 0.572855943776566   accuracy 0.7121729237770194   precision 0.6619478908188585   recall 0.5788996482065789
deviation 5/5   iterations 681/2000   F1 0.5558773830917776   accuracy 0.689419795221843   precision 0.6490446650124069   recall 0.5699658703071673
deviation 5/5   iterations 691/2000   F1 0.5781090117377461   accuracy 0.732650739476678   precision 0.6485856079404466   recall 0.5774904883919559
deviation 5/5   iterations 701/2000   F1 0.5719155844155844   accuracy 0.726962457337884   precision 0.641197270471464   recall 0.5730840365275691
deviation 5/5   iterations 711/2000   F1 0.5712589887893563   accuracy 0.7167235494880546   precision 0.6520409429280397   recall 0.5756413263542541
deviation 5/5   iterations 721/2000   F1 0.5719921785139177   accuracy 0.7110352673492605   precision 0.661302729528536   recall 0.5784279423297339
deviation 5/5   iterations 731/2000   F1 0.582174688057041   accuracy 0.745164960182025   precision 0.6431947890818859   recall 0.5782061011803927
deviation 5/5   iterations 741/2000   F1 0.5832147937411095   accuracy 0.7440273037542662   precision 0.6467121588089331   recall 0.579442391669466
deviation 5/5   iterations 751/2000   F1 0.5686220381872557   accuracy 0.7087599544937428   precision 0.6558498759305211   recall 0.5757766785304941
deviation 5/5   iterations 761/2000   F1 0.5808515924281523   accuracy 0.7292377701934016   precision 0.6591377171215881   recall 0.5811783245993772
deviation 5/5   iterations 771/2000   F1 0.5795100363521416   accuracy 0.7417519908987485   precision 0.6412593052109181   recall 0.5764897547866981
deviation 5/5   iterations 781/2000   F1 0.5834847857772659   accuracy 0.7303754266211604   precision 0.6639454094292804   recall 0.5834333051307631
deviation 5/5   iterations 791/2000   F1 0.5758052789631737   accuracy 0.7394766780432309   precision 0.6358064516129032   recall 0.5735371179039301
deviation 5/5   iterations 801/2000   F1 0.5703775151819235   accuracy 0.7428896473265074   precision 0.6210918114143921   recall 0.5677316826048939
deviation 5/5   iterations 811/2000   F1 0.5824148677409547   accuracy 0.7724687144482366   precision 0.6170533498759305   recall 0.5743729011304334
deviation 5/5   iterations 821/2000   F1 0.5775622066448319   accuracy 0.7417519908987485   precision 0.6370967741935484   recall 0.5746601443204238
deviation 5/5   iterations 831/2000   F1 0.5790839731517697   accuracy 0.7292377701934016   precision 0.6549751861042183   recall 0.5794340222575517
deviation 5/5   iterations 841/2000   F1 0.5832147937411095   accuracy 0.7440273037542662   precision 0.6467121588089331   recall 0.579442391669466
deviation 5/5   iterations 851/2000   F1 0.5851098032866879   accuracy 0.764505119453925   precision 0.6291873449131513   recall 0.5775004837965375
deviation 5/5   iterations 861/2000   F1 0.596465803259243   accuracy 0.7895335608646189   precision 0.6267307692307692   recall 0.5859054363183744
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deviation 5/5   iterations 871/2000   F1 0.5712339366211397   accuracy 0.7360637087599545   precision 0.6297084367245658   recall 0.5700375159107657
deviation 5/5   iterations 881/2000   F1 0.5751145928827402   accuracy 0.7360637087599545   precision 0.6380334987593053   recall 0.573712979526933
deviation 5/5   iterations 891/2000   F1 0.5721121119536482   accuracy 0.7201365187713311   precision 0.6498138957816377   recall 0.5753660637381568
deviation 5/5   iterations 901/2000   F1 0.5806453018357838   accuracy 0.7508532423208191   precision 0.6339330024813896   recall 0.5756164191650323
deviation 5/5   iterations 911/2000   F1 0.5883959044368601   accuracy 0.7713310580204779   precision 0.6288957816377171   recall 0.5796641361858753
deviation 5/5   iterations 921/2000   F1 0.5838352479501391   accuracy 0.7713310580204779   precision 0.6205707196029777   recall 0.5756912532128671
deviation 5/5   iterations 931/2000   F1 0.5705875382763632   accuracy 0.732650739476678   precision 0.6319354838709678   recall 0.5702656270648869
deviation 5/5   iterations 941/2000   F1 0.564866470375536   accuracy 0.7383390216154722   precision 0.614348635235732   recall 0.5635708373568769
deviation 5/5   iterations 951/2000   F1 0.5836941813261165   accuracy 0.7770193401592719   precision 0.6154714640198511   recall 0.5752214535109272
deviation 5/5   iterations 961/2000   F1 0.5860866055469065   accuracy 0.7770193401592719   precision 0.6196339950372208   recall 0.5772772443860296
deviation 5/5   iterations 971/2000   F1 0.5722063532493996   accuracy 0.7565415244596132   precision 0.6121836228287841   recall 0.5670582476749877
deviation 5/5   iterations 981/2000   F1 0.5775230444642515   accuracy 0.757679180887372   precision 0.6211538461538462   recall 0.5716549993395853
deviation 5/5   iterations 991/2000   F1 0.5918428787198433   accuracy 0.7929465301478953   precision 0.6161786600496278   recall 0.5821994768166576
deviation 5/5   iterations 1001/2000   F1 0.5836941813261165   accuracy 0.7770193401592719   precision 0.6154714640198511   recall 0.5752214535109272
deviation 5/5   iterations 1011/2000   F1 0.5788042991491267   accuracy 0.7565415244596132   precision 0.6246712158808932   recall 0.5729738562091503
deviation 5/5   iterations 1021/2000   F1 0.5881986391092351   accuracy 0.7656427758816837   precision 0.6339950372208436   recall 0.5800961153384061
deviation 5/5   iterations 1031/2000   F1 0.5889876025224633   accuracy 0.7895335608646189   precision 0.6142431761786601   recall 0.5796553573591239
deviation 5/5   iterations 1041/2000   F1 0.5691561320230655   accuracy 0.7440273037542662   precision 0.6175744416873449   recall 0.5663806388344075
deviation 5/5   iterations 1051/2000   F1 0.5767407318680002   accuracy 0.7713310580204779   precision 0.6080831265508685   recall 0.5695251396648044
deviation 5/5   iterations 1061/2000   F1 0.5836941813261165   accuracy 0.7770193401592719   precision 0.6154714640198511   recall 0.5752214535109272
deviation 5/5   iterations 1071/2000   F1 0.5880435001713399   accuracy 0.78839590443686   precision 0.6135980148883374   recall 0.5788263856604163
deviation 5/5   iterations 1081/2000   F1 0.5871031432037921   accuracy 0.7872582480091013   precision 0.6129528535980149   recall 0.5780066490728999
deviation 5/5   iterations 1091/2000   F1 0.5946640316205534   accuracy 0.8088737201365188   precision 0.608560794044665   recall 0.5865925104900641
deviation 5/5   iterations 1101/2000   F1 0.5815049138157692   accuracy 0.7713310580204779   precision 0.6164081885856079   recall 0.5736644997173544
deviation 5/5   iterations 1111/2000   F1 0.5730840004834035   accuracy 0.757679180887372   precision 0.6128287841191067   recall 0.5676868571088318
deviation 5/5   iterations 1121/2000   F1 0.5849429317835738   accuracy 0.8077360637087599   precision 0.5954280397022332   recall 0.5784943054251541
deviation 5/5   iterations 1131/2000   F1 0.5873576356288526   accuracy 0.7906712172923777   precision 0.6107258064516129   recall 0.5783414385786267
deviation 5/5   iterations 1141/2000   F1 0.5778958390431416   accuracy 0.7667804323094426   precision 0.6138275434243177   recall 0.570898117523415
deviation 5/5   iterations 1151/2000   F1 0.5778952166674386   accuracy 0.7758816837315131   precision 0.6065012406947891   recall 0.5702811573793578
deviation 5/5   iterations 1161/2000   F1 0.5866201550387597   accuracy 0.7929465301478953   precision 0.6078535980148884   recall 0.577859381997313
deviation 5/5   iterations 1171/2000   F1 0.5859302019210041   accuracy 0.7986348122866894   precision 0.6027543424317618   recall 0.5778164051489242
deviation 5/5   iterations 1181/2000   F1 0.5779144639423238   accuracy 0.7554038680318543   precision 0.6240260545905707   recall 0.5723492798726207
deviation 5/5   iterations 1191/2000   F1 0.5925507144637034   accuracy 0.8031854379977247   precision 0.6094975186104219   recall 0.5838543250228032
deviation 5/5   iterations 1201/2000   F1 0.5913936417475346   accuracy 0.7986348122866894   precision 0.6110794044665012   recall 0.5823112990714352
deviation 5/5   iterations 1211/2000   F1 0.5943076923076923   accuracy 0.8020477815699659   precision 0.613014888337469   recall 0.5851165224541666
deviation 5/5   iterations 1221/2000   F1 0.5898548497506322   accuracy 0.8100113765642776   precision 0.6008808933002482   recall 0.5829795485161449
deviation 5/5   iterations 1231/2000   F1 0.5812514471404504   accuracy 0.7963594994311718   precision 0.5973014888337469   recall 0.5736869303767734
deviation 5/5   iterations 1241/2000   F1 0.5766212223850649   accuracy 0.7872582480091013   precision 0.5963027295285359   recall 0.5691677062912137
deviation 5/5   iterations 1251/2000   F1 0.5827769572351381   accuracy 0.7758816837315131   precision 0.6148263027295285   recall 0.574484523637066
deviation 5/5   iterations 1261/2000   F1 0.5917062269029082   accuracy 0.8191126279863481   precision 0.5977171215880893   recall 0.5870853604599735
deviation 5/5   iterations 1271/2000   F1 0.587840318099122   accuracy 0.800910125142207   precision 0.604044665012407   recall 0.5796784737002129
deviation 5/5   iterations 1281/2000   F1 0.5784522380669697   accuracy 0.7895335608646189   precision 0.5975930521091811   recall 0.5708151029006644
deviation 5/5   iterations 1291/2000   F1 0.5793489482513873   accuracy 0.7974971558589306   precision 0.5937841191066997   recall 0.5722284862499283
deviation 5/5   iterations 1301/2000   F1 0.5869372122397425   accuracy 0.8031854379977247   precision 0.6011724565756824   recall 0.5792776589539179
deviation 5/5   iterations 1311/2000   F1 0.5879043600562589   accuracy 0.8077360637087599   precision 0.599590570719603   recall 0.5809026587917515
deviation 5/5   iterations 1321/2000   F1 0.5935281971867338   accuracy 0.8043230944254836   precision 0.6101426799007444   recall 0.5848271446862996
deviation 5/5   iterations 1331/2000   F1 0.5917125045837917   accuracy 0.8054607508532423   precision 0.6066253101736973   recall 0.5835504569317519
deviation 5/5   iterations 1341/2000   F1 0.5999349804941483   accuracy 0.8248009101251422   precision 0.6051054590570719   recall 0.5957145116825597
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deviation 5/5   iterations 1351/2000   F1 0.5888669764795663   accuracy 0.8054607508532423   precision 0.6024627791563275   recall 0.581241269404057
deviation 5/5   iterations 1361/2000   F1 0.5747415117235108   accuracy 0.7918088737201365   precision 0.5905583126550868   recall 0.5678320508531282
deviation 5/5   iterations 1371/2000   F1 0.5762980305743011   accuracy 0.7770193401592719   precision 0.602983870967742   recall 0.5688666721977931
deviation 5/5   iterations 1381/2000   F1 0.5888296379455515   accuracy 0.8122866894197952   precision 0.5980086848635235   recall 0.582713813034009
deviation 5/5   iterations 1391/2000   F1 0.5977821213901569   accuracy 0.8156996587030717   precision 0.6082692307692308   recall 0.5907800016644473
deviation 5/5   iterations 1401/2000   F1 0.6016252450515398   accuracy 0.8043230944254836   precision 0.6226302729528536   recall 0.5913594853403334
update
deviation 5/5   iterations 1411/2000   F1 0.59981789210107   accuracy 0.8179749715585893   precision 0.6095595533498759   recall 0.5930721558211598
deviation 5/5   iterations 1421/2000   F1 0.5937228602466461   accuracy 0.8213879408418657   precision 0.5990074441687345   recall 0.5895080422639478
deviation 5/5   iterations 1431/2000   F1 0.5897675924302306   accuracy 0.8031854379977247   precision 0.605334987593052   recall 0.5815891137634781
deviation 5/5   iterations 1441/2000   F1 0.5946640316205534   accuracy 0.8088737201365188   precision 0.608560794044665   recall 0.5865925104900641
deviation 5/5   iterations 1451/2000   F1 0.5859302019210041   accuracy 0.7986348122866894   precision 0.6027543424317618   recall 0.5778164051489242
deviation 5/5   iterations 1461/2000   F1 0.587728451274268   accuracy 0.7974971558589306   precision 0.6062717121588089   recall 0.5791723666210671
deviation 5/5   iterations 1471/2000   F1 0.5898548497506322   accuracy 0.8100113765642776   precision 0.6008808933002482   recall 0.5829795485161449
deviation 5/5   iterations 1481/2000   F1 0.592691728995399   accuracy 0.8065984072810012   precision 0.6072704714640198   recall 0.584550841987913
deviation 5/5   iterations 1491/2000   F1 0.5908019911978317   accuracy 0.8145620022753128   precision 0.5992990074441688   recall 0.5849177718832892
deviation 5/5   iterations 1501/2000   F1 0.591795665634675   accuracy 0.8088737201365188   precision 0.6043982630272953   recall 0.5842882900931583
deviation 5/5   iterations 1511/2000   F1 0.5869360902255639   accuracy 0.8065984072810012   precision 0.5989454094292804   recall 0.579885805869979
deviation 5/5   iterations 1521/2000   F1 0.5978528904836031   accuracy 0.8191126279863481   precision 0.6060421836228288   recall 0.5919150858175248
deviation 5/5   iterations 1531/2000   F1 0.6026853799952523   accuracy 0.8418657565415245   precision 0.5981327543424317   recall 0.6082040548305016
update
deviation 5/5   iterations 1541/2000   F1 0.5967719693238585   accuracy 0.8145620022753128   precision 0.6076240694789081   recall 0.5896589147286821
deviation 5/5   iterations 1551/2000   F1 0.595822080461911   accuracy 0.820250284414107   precision 0.6025248138957816   recall 0.590727931488801
deviation 5/5   iterations 1561/2000   F1 0.5917125045837917   accuracy 0.8054607508532423   precision 0.6066253101736973   recall 0.5835504569317519
deviation 5/5   iterations 1571/2000   F1 0.5893080528719348   accuracy 0.8236632536973834   precision 0.5919727047146401   recall 0.5869580518018018
deviation 5/5   iterations 1581/2000   F1 0.5868831446272164   accuracy 0.7997724687144482   precision 0.6033995037220843   recall 0.5787414965986395
deviation 5/5   iterations 1591/2000   F1 0.5927812315348829   accuracy 0.8100113765642776   precision 0.6050434243176179   recall 0.5853322985748554
deviation 5/5   iterations 1601/2000   F1 0.5903164495666069   accuracy 0.8248009101251422   precision 0.5926178660049628   recall 0.5882492020333372
deviation 5/5   iterations 1611/2000   F1 0.5978528904836031   accuracy 0.8191126279863481   precision 0.6060421836228288   recall 0.5919150858175248
deviation 5/5   iterations 1621/2000   F1 0.5821595997531286   accuracy 0.7940841865756542   precision 0.6001736972704714   recall 0.5742300266617634
deviation 5/5   iterations 1631/2000   F1 0.5978673986486487   accuracy 0.8225255972696246   precision 0.6038151364764268   recall 0.5931813626138667
deviation 5/5   iterations 1641/2000   F1 0.5849958839765629   accuracy 0.8225255972696246   precision 0.5871650124069479   recall 0.5830535524293652
deviation 5/5   iterations 1651/2000   F1 0.5791543239812071   accuracy 0.8236632536973834   precision 0.579485111662531   recall 0.5788298265042451
deviation 5/5   iterations 1661/2000   F1 0.5879902088432895   accuracy 0.825938566552901   precision 0.5891004962779156   recall 0.58693888915791
deviation 5/5   iterations 1671/2000   F1 0.586986501989309   accuracy 0.8248009101251422   precision 0.5884553349875931   recall 0.5856211269635394
deviation 5/5   iterations 1681/2000   F1 0.5925651246871234   accuracy 0.8236632536973834   precision 0.5961352357320099   recall 0.5895180110446174
deviation 5/5   iterations 1691/2000   F1 0.5913305073157391   accuracy 0.825938566552901   precision 0.5932630272952854   recall 0.5895627308471345
deviation 5/5   iterations 1701/2000   F1 0.5907059042652263   accuracy 0.8179749715585893   precision 0.5970719602977668   recall 0.5859025032938077
deviation 5/5   iterations 1711/2000   F1 0.5927812315348829   accuracy 0.8100113765642776   precision 0.6050434243176179   recall 0.5853322985748554
deviation 5/5   iterations 1721/2000   F1 0.5875563063063063   accuracy 0.8179749715585893   precision 0.592909429280397   recall 0.5833927258958997
deviation 5/5   iterations 1731/2000   F1 0.5941356618975075   accuracy 0.8327645051194539   precision 0.5929714640198511   recall 0.595363842296826
deviation 5/5   iterations 1741/2000   F1 0.5900148575558857   accuracy 0.8282138794084186   precision 0.5903908188585608   recall 0.5896456256921374
deviation 5/5   iterations 1751/2000   F1 0.5898386034255599   accuracy 0.8065984072810012   precision 0.6031079404466502   recall 0.5822430923917346
deviation 5/5   iterations 1761/2000   F1 0.5927395776416569   accuracy 0.8350398179749715   precision 0.5900992555831266   recall 0.5957365465235848
deviation 5/5   iterations 1771/2000   F1 0.5975387548005494   accuracy 0.8327645051194539   precision 0.5971339950372208   recall 0.597950655590031
deviation 5/5   iterations 1781/2000   F1 0.5908372030419274   accuracy 0.8111490329920364   precision 0.6015260545905707   recall 0.5840402588066139
deviation 5/5   iterations 1791/2000   F1 0.5897108066971081   accuracy 0.8168373151308305   precision 0.5964267990074441   recall 0.5847380012647463
deviation 5/5   iterations 1801/2000   F1 0.5923503136517856   accuracy 0.8270762229806599   precision 0.5939081885856079   recall 0.5908992650237787
deviation 5/5   iterations 1811/2000   F1 0.5850949582627153   accuracy 0.8304891922639362   precision 0.5833560794044665   recall 0.5870046620046621
deviation 5/5   iterations 1821/2000   F1 0.5898133394035967   accuracy 0.8134243458475541   precision 0.5986538461538462   recall 0.5838076266363119
deviation 5/5   iterations 1831/2000   F1 0.5855897280685417   accuracy 0.8156996587030717   precision 0.5916191066997518   recall 0.5810770750988142
deviation 5/5   iterations 1841/2000   F1 0.5855831265508685   accuracy 0.8270762229806599   precision 0.5855831265508685   recall 0.5855831265508685
deviation 5/5   iterations 1851/2000   F1 0.5928164685678131   accuracy 0.8134243458475541   precision 0.6028163771712158   recall 0.5862079727030626
deviation 5/5   iterations 1861/2000   F1 0.591698694291023   accuracy 0.8339021615472128   precision 0.5894540942928039   recall 0.5942015730748125
deviation 5/5   iterations 1871/2000   F1 0.5891742226204789   accuracy 0.8350398179749715   precision 0.5859367245657569   recall 0.5929981203007519
deviation 5/5   iterations 1881/2000   F1 0.6020146770591185   accuracy 0.8304891922639362   precision 0.6041687344913151   recall 0.6000357440724413
deviation 5/5   iterations 1891/2000   F1 0.5977141253142619   accuracy 0.8293515358361775   precision 0.5993610421836228   recall 0.5961774030840179
deviation 5/5   iterations 1901/2000   F1 0.5987974042983866   accuracy 0.8168373151308305   precision 0.6089143920595534   recall 0.5919176160160831
deviation 5/5   iterations 1911/2000   F1 0.5815048073697026   accuracy 0.8304891922639362   precision 0.5791935483870968   recall 0.5841484957945526
deviation 5/5   iterations 1921/2000   F1 0.5750738195406204   accuracy 0.8316268486916951   precision 0.5715136476426799   recall 0.5796088613888736
deviation 5/5   iterations 1931/2000   F1 0.5850949582627153   accuracy 0.8304891922639362   precision 0.5833560794044665   recall 0.5870046620046621
deviation 5/5   iterations 1941/2000   F1 0.5907378131970462   accuracy 0.8043230944254836   precision 0.6059801488833747   recall 0.582563309491591
deviation 5/5   iterations 1951/2000   F1 0.5825032092426188   accuracy 0.8316268486916951   precision 0.5798387096774194   recall 0.5856082375478927
deviation 5/5   iterations 1961/2000   F1 0.5781838316722038   accuracy 0.8225255972696246   precision 0.5788399503722085   recall 0.5775525397251581
deviation 5/5   iterations 1971/2000   F1 0.5772187110352709   accuracy 0.8213879408418657   precision 0.5781947890818858   recall 0.5762977579778219
deviation 5/5   iterations 1981/2000   F1 0.578544931486108   accuracy 0.8270762229806599   precision 0.577258064516129   recall 0.5799358151476252
deviation 5/5   iterations 1991/2000   F1 0.5871221925056798   accuracy 0.8327645051194539   precision 0.5846464019851116   recall 0.5899425211590688

