deviation 1/5   iterations 10/2000   F1 0.5248353300446323   accuracy 0.674233825198638   precision 0.5886107020127638   recall 0.5427426325199209
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deviation 1/5   iterations 20/2000   F1 0.3928626560225819   accuracy 0.43246311010215666   precision 0.566660530191458   recall 0.5298713083649563
deviation 1/5   iterations 30/2000   F1 0.4573520877581219   accuracy 0.52894438138479   precision 0.6008406971035837   recall 0.5423968008255934
deviation 1/5   iterations 40/2000   F1 0.5171397878838471   accuracy 0.6311010215664018   precision 0.6217722140402553   recall 0.5534924845269673
deviation 1/5   iterations 50/2000   F1 0.4807720642404597   accuracy 0.5641316685584563   precision 0.6166973490427099   recall 0.5490801821053609
deviation 1/5   iterations 60/2000   F1 0.5347690862109467   accuracy 0.681044267877412   precision 0.6048294059891999   recall 0.5505659550787956
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deviation 1/5   iterations 70/2000   F1 0.5529085690452562   accuracy 0.7196367763904654   precision 0.6061487481590574   recall 0.5565168524641583
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deviation 1/5   iterations 80/2000   F1 0.5239561638661414   accuracy 0.6492622020431328   precision 0.6156111929307806   recall 0.5521976195225746
deviation 1/5   iterations 90/2000   F1 0.5117315532487695   accuracy 0.6174801362088536   precision 0.6263929798723613   recall 0.5546368507613136
deviation 1/5   iterations 100/2000   F1 0.5230831158736328   accuracy 0.6458569807037458   precision 0.6177957781050565   recall 0.5528500947094841
deviation 1/5   iterations 110/2000   F1 0.5030383464816852   accuracy 0.6106696935300795   precision 0.6101742758959254   recall 0.5476258687463526
deviation 1/5   iterations 120/2000   F1 0.515563701791705   accuracy 0.6288308740068105   precision 0.6204835542464409   recall 0.5528221684153888
deviation 1/5   iterations 130/2000   F1 0.544777904889048   accuracy 0.7082860385925085   precision 0.5997054491899853   recall 0.5517504968659226
deviation 1/5   iterations 140/2000   F1 0.5547613890693812   accuracy 0.7457434733257662   precision 0.588027736867943   recall 0.5528485536185326
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deviation 1/5   iterations 150/2000   F1 0.5300390136371156   accuracy 0.674233825198638   precision 0.6009634266077565   recall 0.5481690322278434
deviation 1/5   iterations 160/2000   F1 0.4970449433607328   accuracy 0.6038592508513053   precision 0.6021907216494845   recall 0.5440392447241762
deviation 1/5   iterations 170/2000   F1 0.5427496193586073   accuracy 0.6923950056753689   precision 0.611272704958272   recall 0.554733531343572
deviation 1/5   iterations 180/2000   F1 0.520925108181401   accuracy 0.6515323496027242   precision 0.6045471281296023   recall 0.5477119973115269
deviation 1/5   iterations 190/2000   F1 0.5085479901558655   accuracy 0.6333711691259932   precision 0.5942378497790869   recall 0.5421275264994404
deviation 1/5   iterations 200/2000   F1 0.5404388161273754   accuracy 0.7048808172531215   precision 0.5936548846342661   recall 0.5484914340907935
deviation 1/5   iterations 210/2000   F1 0.5533866291093354   accuracy 0.7287173666288309   precision 0.5989506627393225   recall 0.5547843281148076
deviation 1/5   iterations 220/2000   F1 0.5435040862751706   accuracy 0.720771850170261   precision 0.5862052037309768   recall 0.54731304476687
deviation 1/5   iterations 230/2000   F1 0.5480226605394432   accuracy 0.7332576617480137   precision 0.5850576828669612   recall 0.5488655272583693
deviation 1/5   iterations 240/2000   F1 0.512363872860365   accuracy 0.6367763904653803   precision 0.6002884143348062   recall 0.5448860203240868
deviation 1/5   iterations 250/2000   F1 0.5271632178424474   accuracy 0.662883087400681   precision 0.606872852233677   recall 0.549644257958588
deviation 1/5   iterations 260/2000   F1 0.5298668667308605   accuracy 0.6923950056753689   precision 0.5824496809032891   recall 0.5417957619420907
deviation 1/5   iterations 270/2000   F1 0.5255942700819975   accuracy 0.6606129398410897   precision 0.6055841924398626   recall 0.5488945723216823
deviation 1/5   iterations 280/2000   F1 0.5550473693730518   accuracy 0.7559591373439274   precision 0.5814739813451154   recall 0.5517629904559915
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deviation 1/5   iterations 290/2000   F1 0.552683752417795   accuracy 0.713961407491487   precision 0.6111622484045165   recall 0.5578391805770189
deviation 1/5   iterations 300/2000   F1 0.5437453356096542   accuracy 0.7014755959137344   precision 0.604074619538537   recall 0.552757972799781
deviation 1/5   iterations 310/2000   F1 0.5300390136371156   accuracy 0.674233825198638   precision 0.6009634266077565   recall 0.5481690322278434
deviation 1/5   iterations 320/2000   F1 0.5659029317565903   accuracy 0.7639046538024972   precision 0.594219440353461   recall 0.5605919494869771
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deviation 1/5   iterations 330/2000   F1 0.5550362816865391   accuracy 0.7309875141884222   precision 0.6002393225331369   recall 0.5558278308657671
deviation 1/5   iterations 340/2000   F1 0.5327244721507767   accuracy 0.6685584562996595   precision 0.6142120765832106   recall 0.5533050750372321
deviation 1/5   iterations 350/2000   F1 0.5550282174580913   accuracy 0.7253121452894438   precision 0.6052528227785959   recall 0.5571162171162172
deviation 1/5   iterations 360/2000   F1 0.5336575742482397   accuracy 0.6923950056753689   precision 0.5906848306332843   recall 0.5455610502040967
deviation 1/5   iterations 370/2000   F1 0.5287360490312519   accuracy 0.6651532349602725   precision 0.6081615120274915   recall 0.5504008967276304
deviation 1/5   iterations 380/2000   F1 0.5115620809797348   accuracy 0.64472190692395   precision 0.5883284241531663   recall 0.5403102946118516
deviation 1/5   iterations 390/2000   F1 0.5615409443490031   accuracy 0.7287173666288309   precision 0.6154209621993127   recall 0.5624601508952766
deviation 1/5   iterations 400/2000   F1 0.542673165319385   accuracy 0.70261066969353   precision 0.6006013745704468   recall 0.5513499968677567
deviation 1/5   iterations 410/2000   F1 0.5457816390781145   accuracy 0.7332576617480137   precision 0.5809401080019636   recall 0.5468029238521042
deviation 1/5   iterations 420/2000   F1 0.5460473925927435   accuracy 0.7128263337116912   precision 0.5981651939126166   recall 0.5517240264359342
deviation 1/5   iterations 430/2000   F1 0.5521098118962888   accuracy 0.7105561861520999   precision 0.6133468335787924   recall 0.5582651979710803
deviation 1/5   iterations 440/2000   F1 0.5677583702511377   accuracy 0.7695800227014756   precision 0.5933235149729995   recall 0.5618120925393032
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deviation 1/5   iterations 450/2000   F1 0.5721871801833789   accuracy 0.7888762769580022   precision 0.587806823760432   recall 0.5655966919719808
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deviation 1/5   iterations 460/2000   F1 0.5569824459300441   accuracy 0.7763904653802497   precision 0.5724840451644575   recall 0.5522192749778957
deviation 1/5   iterations 470/2000   F1 0.5253737005842628   accuracy 0.677639046538025   precision 0.586426116838488   recall 0.5420900375355632
deviation 1/5   iterations 480/2000   F1 0.5289266779130016   accuracy 0.677639046538025   precision 0.5946612665684831   recall 0.5457473309608541
deviation 1/5   iterations 490/2000   F1 0.5488221235916695   accuracy 0.713961407491487   precision 0.6029270986745213   recall 0.5540945857037811
deviation 1/5   iterations 500/2000   F1 0.5272712443551572   accuracy 0.7162315550510783   precision 0.5589224349533628   recall 0.5331153692284346
deviation 1/5   iterations 510/2000   F1 0.5654474773230782   accuracy 0.7990919409761634   precision 0.5730179185076092   recall 0.5609392604732152
deviation 1/5   iterations 520/2000   F1 0.5482700785892276   accuracy 0.757094211123723   precision 0.5697655866470299   recall 0.5456190613764766
deviation 1/5   iterations 530/2000   F1 0.5540331356605734   accuracy 0.7650397275822929   precision 0.5742758959253804   recall 0.550070323488045
deviation 1/5   iterations 540/2000   F1 0.5557158918494101   accuracy 0.7377979568671964   precision 0.5958701521845852   recall 0.5550772767013565
deviation 1/5   iterations 550/2000   F1 0.53953901635917   accuracy 0.7275822928490352   precision 0.57360088365243   recall 0.5421480981698575
deviation 1/5   iterations 560/2000   F1 0.5459181259757431   accuracy 0.7650397275822929   precision 0.5619231713303878   recall 0.5429082899615607
deviation 1/5   iterations 570/2000   F1 0.5566847194555113   accuracy 0.7797956867196367   precision 0.5702994599901816   recall 0.5519640751156673
deviation 1/5   iterations 580/2000   F1 0.5635733157199472   accuracy 0.7888762769580022   precision 0.5754540991654393   recall 0.5582561070365948
deviation 1/5   iterations 590/2000   F1 0.5467691808962712   accuracy 0.7514188422247446   precision 0.5706615120274914   recall 0.5448934876177406
deviation 1/5   iterations 600/2000   F1 0.5388600101075735   accuracy 0.7366628830874007   precision 0.5664027982326951   recall 0.539865751042603
deviation 1/5   iterations 610/2000   F1 0.5699511862867521   accuracy 0.8047673098751419   precision 0.5762395679921453   recall 0.5657354497354498
deviation 1/5   iterations 620/2000   F1 0.571965495430253   accuracy 0.8195232690124858   precision 0.5722631320569465   recall 0.5716737674984784
deviation 1/5   iterations 630/2000   F1 0.5754371289064276   accuracy 0.8195232690124858   precision 0.576380706921944   recall 0.5745472186287193
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deviation 1/5   iterations 640/2000   F1 0.5596663482684319   accuracy 0.7956867196367764   precision 0.56696735395189   recall 0.5555368956743002
deviation 1/5   iterations 650/2000   F1 0.5580232363691381   accuracy 0.7854710556186152   precision 0.5694035346097202   recall 0.5532847127996382
deviation 1/5   iterations 660/2000   F1 0.5734246385833852   accuracy 0.8013620885357549   precision 0.5825417280314188   recall 0.5680250434923333
deviation 1/5   iterations 670/2000   F1 0.5667574183303709   accuracy 0.7968217934165721   precision 0.5758468335787923   recall 0.5617394952946113
deviation 1/5   iterations 680/2000   F1 0.5644499672639329   accuracy 0.7900113507377979   precision 0.5760984290623465   recall 0.5590872705788179
deviation 1/5   iterations 690/2000   F1 0.5492068906703053   accuracy 0.7548240635641317   precision 0.572594501718213   recall 0.5466850828729282
deviation 1/5   iterations 700/2000   F1 0.5694515405291334   accuracy 0.8002270147559591   precision 0.5777798232695139   recall 0.5645038167938932
deviation 1/5   iterations 710/2000   F1 0.5633673180402152   accuracy 0.7775255391600454   precision 0.5813635247913599   recall 0.5577492639244587
deviation 1/5   iterations 720/2000   F1 0.5639045639045639   accuracy 0.8183881952326901   precision 0.5633836524300442   recall 0.5644482990990092
deviation 1/5   iterations 730/2000   F1 0.5722300222300222   accuracy 0.811577752553916   precision 0.575987972508591   recall 0.5692654495010516
deviation 1/5   iterations 740/2000   F1 0.5678544483923739   accuracy 0.7763904653802497   precision 0.5889543446244477   recall 0.5616389427492602
deviation 1/5   iterations 750/2000   F1 0.5799386970694604   accuracy 0.8331441543700341   precision 0.5758775159548355   recall 0.585172480299774
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deviation 1/5   iterations 760/2000   F1 0.5807775423793028   accuracy 0.8217934165720772   precision 0.5817869415807561   recall 0.57982367878875
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deviation 1/5   iterations 770/2000   F1 0.5781445559529352   accuracy 0.8354143019296254   precision 0.5730486008836524   recall 0.585291757422905
deviation 1/5   iterations 780/2000   F1 0.5802581427581427   accuracy 0.8251986379114642   precision 0.5796023564064801   recall 0.5809394264606784
deviation 1/5   iterations 790/2000   F1 0.5508443080676209   accuracy 0.757094211123723   precision 0.5738831615120275   recall 0.5479078132709417
deviation 1/5   iterations 800/2000   F1 0.5743441366594841   accuracy 0.8024971623155505   precision 0.583186057928326   recall 0.5689872773536896
deviation 1/5   iterations 810/2000   F1 0.5806359482102057   accuracy 0.8297389330306469   precision 0.5780621011291114   recall 0.5836379654954765
deviation 1/5   iterations 820/2000   F1 0.5589118825100133   accuracy 0.775255391600454   precision 0.5759572901325478   recall 0.553912089060785
deviation 1/5   iterations 830/2000   F1 0.5672365735971503   accuracy 0.8013620885357549   precision 0.5743065783014236   recall 0.562816442563081
deviation 1/5   iterations 840/2000   F1 0.5681372549019608   accuracy 0.8024971623155505   precision 0.5749509081983308   recall 0.5637753503623718
deviation 1/5   iterations 850/2000   F1 0.5589118825100133   accuracy 0.775255391600454   precision 0.5759572901325478   recall 0.553912089060785
deviation 1/5   iterations 860/2000   F1 0.5745622786091231   accuracy 0.8104426787741204   precision 0.5794612174766813   recall 0.5708990363556723
deviation 1/5   iterations 870/2000   F1 0.5649506186854354   accuracy 0.8024971623155505   precision 0.5708333333333333   recall 0.5610740740740741
deviation 1/5   iterations 880/2000   F1 0.5664176099503377   accuracy 0.8127128263337117   precision 0.5683971526755032   recall 0.5647060189485417
deviation 1/5   iterations 890/2000   F1 0.5776963203158043   accuracy 0.8263337116912599   precision 0.5761291114383897   recall 0.5794238156209988
deviation 1/5   iterations 900/2000   F1 0.5785547073791348   accuracy 0.7866061293984109   precision 0.5988708885616102   recall 0.5708730689376078
deviation 1/5   iterations 910/2000   F1 0.5567136285221391   accuracy 0.7616345062429057   precision 0.5805780559646538   recall 0.5526892334360555
deviation 1/5   iterations 920/2000   F1 0.597920892494929   accuracy 0.8161180476730987   precision 0.6073883161512027   recall 0.5913761774473151
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deviation 1/5   iterations 930/2000   F1 0.5783339842201544   accuracy 0.8149829738933031   precision 0.5820385370643102   recall 0.5753267973856209
deviation 1/5   iterations 940/2000   F1 0.5601755151840783   accuracy 0.7468785471055619   precision 0.5969072164948453   recall 0.5575686434622844
deviation 1/5   iterations 950/2000   F1 0.5818580022415883   accuracy 0.811577752553916   precision 0.5883406971035837   recall 0.5772035952549499
deviation 1/5   iterations 960/2000   F1 0.5972722558812292   accuracy 0.8479001135073779   precision 0.5883713794796269   recall 0.6111188271604938
deviation 1/5   iterations 970/2000   F1 0.5679933462831569   accuracy 0.7945516458569807   precision 0.5786757486499755   recall 0.5625207248327384
deviation 1/5   iterations 980/2000   F1 0.5685552636430679   accuracy 0.8070374574347332   precision 0.5734106529209622   recall 0.5650445846020009
deviation 1/5   iterations 990/2000   F1 0.5681742617696961   accuracy 0.8376844494892168   precision 0.5619845360824742   recall 0.578815543071161
deviation 1/5   iterations 1000/2000   F1 0.5605372793267288   accuracy 0.7968217934165721   precision 0.5676116838487972   recall 0.5564273276656766
deviation 1/5   iterations 1010/2000   F1 0.5652691343117221   accuracy 0.8070374574347332   precision 0.5692930780559646   recall 0.5622642757890558
deviation 1/5   iterations 1020/2000   F1 0.5729588358119913   accuracy 0.793416572077185   precision 0.5862665684830632   recall 0.5666041275797373
deviation 1/5   iterations 1030/2000   F1 0.5732288084711533   accuracy 0.8388195232690124   precision 0.566746440844379   recall 0.5839274691358025
deviation 1/5   iterations 1040/2000   F1 0.5802489960552443   accuracy 0.8172531214528944   precision 0.5833271968581246   recall 0.5776493057938197
deviation 1/5   iterations 1050/2000   F1 0.5908306794055201   accuracy 0.8410896708286039   precision 0.5845054000981835   recall 0.5996771765250876
deviation 1/5   iterations 1060/2000   F1 0.591458369325053   accuracy 0.8263337116912599   precision 0.59259941089838   recall 0.5903765991088112
deviation 1/5   iterations 1070/2000   F1 0.5633673180402152   accuracy 0.7775255391600454   precision 0.5813635247913599   recall 0.5577492639244587
deviation 1/5   iterations 1080/2000   F1 0.5614733698357393   accuracy 0.7900113507377979   precision 0.571980854197349   recall 0.5565355696934644
deviation 1/5   iterations 1090/2000   F1 0.5907854283249651   accuracy 0.8331441543700341   precision 0.5882302405498282   recall 0.5936872833424558
deviation 1/5   iterations 1100/2000   F1 0.5789480482575111   accuracy 0.8320090805902384   precision 0.5752331860579283   recall 0.5836471808307406
deviation 1/5   iterations 1110/2000   F1 0.574269898453981   accuracy 0.8354143019296254   precision 0.5689310260186549   recall 0.582148603188533
deviation 1/5   iterations 1120/2000   F1 0.5732581570177478   accuracy 0.8297389330306469   precision 0.5698269513991163   recall 0.5776363189782217
deviation 1/5   iterations 1130/2000   F1 0.5731601680756164   accuracy 0.8127128263337117   precision 0.5766323024054982   recall 0.5703628577867929
deviation 1/5   iterations 1140/2000   F1 0.5732948513800424   accuracy 0.8342792281498297   precision 0.5682866961217476   recall 0.5805466284489997
deviation 1/5   iterations 1150/2000   F1 0.5855047916847622   accuracy 0.8524404086265607   precision 0.5744783996072655   recall 0.6083119154708361
deviation 1/5   iterations 1160/2000   F1 0.5675682657779845   accuracy 0.8274687854710556   precision 0.5644207167403044   recall 0.5716254571257027
deviation 1/5   iterations 1170/2000   F1 0.5655095783619337   accuracy 0.811577752553916   precision 0.567752822778596   recall 0.563611956120944
deviation 1/5   iterations 1180/2000   F1 0.5758783160913654   accuracy 0.7866061293984109   precision 0.5947533136966127   recall 0.5686083711010397
deviation 1/5   iterations 1190/2000   F1 0.5736310840707964   accuracy 0.8093076049943246   precision 0.5788168875797741   recall 0.5698347107438017
deviation 1/5   iterations 1200/2000   F1 0.5712306885966008   accuracy 0.8229284903518729   precision 0.5700785468826706   recall 0.5724803249555726
deviation 1/5   iterations 1210/2000   F1 0.5582698654480833   accuracy 0.8206583427922814   precision 0.5564371624938635   recall 0.5604683883862823
deviation 1/5   iterations 1220/2000   F1 0.553548720204232   accuracy 0.8195232690124858   precision 0.5516752577319588   recall 0.5558718152866242
deviation 1/5   iterations 1230/2000   F1 0.5732288084711533   accuracy 0.8388195232690124   precision 0.566746440844379   recall 0.5839274691358025
deviation 1/5   iterations 1240/2000   F1 0.5681742617696961   accuracy 0.8376844494892168   precision 0.5619845360824742   recall 0.578815543071161
deviation 1/5   iterations 1250/2000   F1 0.5732288084711533   accuracy 0.8388195232690124   precision 0.566746440844379   recall 0.5839274691358025
deviation 1/5   iterations 1260/2000   F1 0.5637969258054981   accuracy 0.8479001135073779   precision 0.5554307805596466   recall 0.5851527149321267
deviation 1/5   iterations 1270/2000   F1 0.5707171276526356   accuracy 0.8558456299659478   precision 0.5599410898379971   recall 0.6023170067457159
deviation 1/5   iterations 1280/2000   F1 0.5826248399487836   accuracy 0.8320090805902384   precision 0.5793507609229258   recall 0.5865876523369492
deviation 1/5   iterations 1290/2000   F1 0.551156230559667   accuracy 0.7843359818388195   precision 0.5605240549828179   recall 0.5472637531148169
deviation 1/5   iterations 1300/2000   F1 0.5602747540048486   accuracy 0.8093076049943246   precision 0.562346588119784   recall 0.5585361356932154
deviation 1/5   iterations 1310/2000   F1 0.5761720092288056   accuracy 0.8331441543700341   precision 0.571759941089838   recall 0.5821323219553308
deviation 1/5   iterations 1320/2000   F1 0.5646392747860521   accuracy 0.8286038592508513   precision 0.560947471772214   recall 0.5697569883410591
deviation 1/5   iterations 1330/2000   F1 0.5644488708013298   accuracy 0.8433598183881952   precision 0.5569710358370152   recall 0.580716397148322
deviation 1/5   iterations 1340/2000   F1 0.5581404320987654   accuracy 0.8524404086265607   precision 0.5497729504172804   recall 0.5863460228240505
deviation 1/5   iterations 1350/2000   F1 0.5737567161518679   accuracy 0.8490351872871736   precision 0.5643102601865488   recall 0.5947833007741842
deviation 1/5   iterations 1360/2000   F1 0.5637969258054981   accuracy 0.8479001135073779   precision 0.5554307805596466   recall 0.5851527149321267
deviation 1/5   iterations 1370/2000   F1 0.5611620658285237   accuracy 0.8104426787741204   precision 0.5629909180166912   recall 0.5595915381757385
deviation 1/5   iterations 1380/2000   F1 0.559063822126204   accuracy 0.8422247446083996   precision 0.5522091310751105   recall 0.5749339439844988
deviation 1/5   iterations 1390/2000   F1 0.5621347409552863   accuracy 0.8354143019296254   precision 0.5565783014236623   recall 0.5719413233458177
deviation 1/5   iterations 1400/2000   F1 0.5576387196420025   accuracy 0.8059023836549376   precision 0.5604135984290624   recall 0.5554710389903088
deviation 1/5   iterations 1410/2000   F1 0.5591578538567246   accuracy 0.8479001135073779   precision 0.551313205694649   recall 0.5811309038692901
deviation 1/5   iterations 1420/2000   F1 0.5677069178971526   accuracy 0.8524404086265607   precision 0.5580081001472754   recall 0.5944922031187525
deviation 1/5   iterations 1430/2000   F1 0.5581404320987654   accuracy 0.8524404086265607   precision 0.5497729504172804   recall 0.5863460228240505
deviation 1/5   iterations 1440/2000   F1 0.5579100004498939   accuracy 0.8354143019296254   precision 0.5524607265586647   recall 0.5682456812593799
deviation 1/5   iterations 1450/2000   F1 0.566633551635336   accuracy 0.8263337116912599   precision 0.5637763868433971   recall 0.5702438562815972
deviation 1/5   iterations 1460/2000   F1 0.579140127388535   accuracy 0.8365493757094211   precision 0.5736929307805596   recall 0.5869234778076957
deviation 1/5   iterations 1470/2000   F1 0.5770735412128856   accuracy 0.8479001135073779   precision 0.5677835051546392   recall 0.5960354720918101
deviation 1/5   iterations 1480/2000   F1 0.5618783745382211   accuracy 0.8251986379114642   precision 0.5590144820814924   recall 0.5656145952731838
deviation 1/5   iterations 1490/2000   F1 0.5653234745464868   accuracy 0.8342792281498297   precision 0.5600515463917526   recall 0.5738744451490171
deviation 1/5   iterations 1500/2000   F1 0.557286432160804   accuracy 0.8456299659477866   precision 0.5500245459008346   recall 0.5768476621417798
deviation 1/5   iterations 1510/2000   F1 0.5602852049910874   accuracy 0.8331441543700341   precision 0.5552896416298478   recall 0.568759730150493
deviation 1/5   iterations 1520/2000   F1 0.5740461679083277   accuracy 0.8444948921679909   precision 0.5658505154639175   recall 0.5898472822264644
deviation 1/5   iterations 1530/2000   F1 0.5833858764186632   accuracy 0.8501702610669694   precision 0.5731897398134511   recall 0.6036950095635542
deviation 1/5   iterations 1540/2000   F1 0.5687026811635453   accuracy 0.8535754824063564   precision 0.5586524300441826   recall 0.5970158343483557
deviation 1/5   iterations 1550/2000   F1 0.579140127388535   accuracy 0.8365493757094211   precision 0.5736929307805596   recall 0.5869234778076957
deviation 1/5   iterations 1560/2000   F1 0.5802489960552443   accuracy 0.8172531214528944   precision 0.5833271968581246   recall 0.5776493057938197
deviation 1/5   iterations 1570/2000   F1 0.5503240202562767   accuracy 0.7832009080590239   precision 0.5598797250859107   recall 0.5464941203377233
deviation 1/5   iterations 1580/2000   F1 0.5464315593024004   accuracy 0.7820658342792282   precision 0.5551178203240059   recall 0.5430419781483611
deviation 1/5   iterations 1590/2000   F1 0.5582093757043047   accuracy 0.7979568671963677   precision 0.5641384388807069   recall 0.5545750746673908
deviation 1/5   iterations 1600/2000   F1 0.569820399683946   accuracy 0.8127128263337117   precision 0.5725147275405007   recall 0.5675735950044604
deviation 1/5   iterations 1610/2000   F1 0.5731011945007888   accuracy 0.8047673098751419   precision 0.5803571428571428   recall 0.5683754882098624
deviation 1/5   iterations 1620/2000   F1 0.5818580022415883   accuracy 0.811577752553916   precision 0.5883406971035837   recall 0.5772035952549499
deviation 1/5   iterations 1630/2000   F1 0.5572154199860986   accuracy 0.8399545970488081   precision 0.5509204712812961   recall 0.571229913473424
deviation 1/5   iterations 1640/2000   F1 0.5703118430391159   accuracy 0.8354143019296254   precision 0.5648134511536573   recall 0.5788821174643006
deviation 1/5   iterations 1650/2000   F1 0.5762385762385762   accuracy 0.8376844494892168   precision 0.5702196858124693   recall 0.5854618509888272
deviation 1/5   iterations 1660/2000   F1 0.5877047436715592   accuracy 0.8376844494892168   precision 0.5825724104074619   recall 0.5945076555696025
deviation 1/5   iterations 1670/2000   F1 0.5649534010293504   accuracy 0.8388195232690124   precision 0.5585112911143839   recall 0.5770094333527169
deviation 1/5   iterations 1680/2000   F1 0.55448798988622   accuracy 0.8365493757094211   precision 0.5489874815905744   recall 0.566029776674938
deviation 1/5   iterations 1690/2000   F1 0.5553912555539479   accuracy 0.8376844494892168   precision 0.5496318114874816   recall 0.5677182758967145
deviation 1/5   iterations 1700/2000   F1 0.5771552177572059   accuracy 0.8342792281498297   precision 0.5724042709867452   recall 0.5836950970377937
deviation 1/5   iterations 1710/2000   F1 0.587049685281907   accuracy 0.8410896708286039   precision 0.5803878252331861   recall 0.5968075672480048
deviation 1/5   iterations 1720/2000   F1 0.5823011728388654   accuracy 0.8444948921679909   precision 0.5740856651939126   recall 0.5963773669253122
deviation 1/5   iterations 1730/2000   F1 0.572250233426704   accuracy 0.8376844494892168   precision 0.5661021109474718   recall 0.582206416557282
deviation 1/5   iterations 1740/2000   F1 0.5738545861228614   accuracy 0.8217934165720772   precision 0.5735517918507609   recall 0.5741634491634492
deviation 1/5   iterations 1750/2000   F1 0.567827863790201   accuracy 0.8422247446083996   precision 0.5604442808051056   recall 0.5824709467832144
deviation 1/5   iterations 1760/2000   F1 0.591613990729035   accuracy 0.8501702610669694   precision 0.5814248895434463   recall 0.6097518610421836
deviation 1/5   iterations 1770/2000   F1 0.5727631410492665   accuracy 0.8581157775255391   precision 0.5612297496318115   recall 0.607987012987013
deviation 1/5   iterations 1780/2000   F1 0.5865760630345185   accuracy 0.8535754824063564   precision 0.5751227295041728   recall 0.6107191954272484
deviation 1/5   iterations 1790/2000   F1 0.5669741689922292   accuracy 0.8626560726447219   precision 0.5555719194894453   recall 0.6132452981192477
deviation 1/5   iterations 1800/2000   F1 0.5629700180566304   accuracy 0.8581157775255391   precision 0.5529945999018164   recall 0.6001670223624385
deviation 1/5   iterations 1810/2000   F1 0.563956767458189   accuracy 0.8535754824063564   precision 0.5545348551791851   recall 0.5930887836762057
deviation 1/5   iterations 1820/2000   F1 0.5639588721780503   accuracy 0.8592508513053349   precision 0.5536389297987236   recall 0.603248287266714
deviation 1/5   iterations 1830/2000   F1 0.5741316207444238   accuracy 0.8649262202043133   precision 0.5609781541482572   recall 0.6242622048819528
deviation 1/5   iterations 1840/2000   F1 0.5727631410492665   accuracy 0.8581157775255391   precision 0.5612297496318115   recall 0.607987012987013
deviation 1/5   iterations 1850/2000   F1 0.5764293781861474   accuracy 0.8569807037457434   precision 0.5647029945999018   recall 0.608705513629428
deviation 1/5   iterations 1860/2000   F1 0.564763740774171   accuracy 0.8490351872871736   precision 0.5560751104565538   recall 0.5873814259485923
deviation 1/5   iterations 1870/2000   F1 0.5634960523267212   accuracy 0.8422247446083996   precision 0.556326705940108   recall 0.5787924048894383
deviation 1/5   iterations 1880/2000   F1 0.5616095596720745   accuracy 0.8399545970488081   precision 0.5550380461462936   recall 0.5750946113399645
deviation 1/5   iterations 1890/2000   F1 0.5713086469279429   accuracy 0.8513053348467651   precision 0.5614813451153657   recall 0.5958059210526316
deviation 1/5   iterations 1900/2000   F1 0.5601036172169767   accuracy 0.8490351872871736   precision 0.5519575355915562   recall 0.5833727204694947
deviation 1/5   iterations 1910/2000   F1 0.5634525244408731   accuracy 0.8320090805902384   precision 0.5587628865979382   recall 0.5707655926692285
deviation 1/5   iterations 1920/2000   F1 0.5522323872077567   accuracy 0.8229284903518729   precision 0.5494906725576829   recall 0.5560926415356795
deviation 1/5   iterations 1930/2000   F1 0.5629973781259917   accuracy 0.8172531214528944   precision 0.562739322533137   recall 0.5632610632610633
deviation 1/5   iterations 1940/2000   F1 0.5674495753715498   accuracy 0.8320090805902384   precision 0.5628804614629357   recall 0.5741697790903038
deviation 1/5   iterations 1950/2000   F1 0.565737587381251   accuracy 0.8501702610669694   precision 0.556719440353461   recall 0.5896786587495634
deviation 1/5   iterations 1960/2000   F1 0.565737587381251   accuracy 0.8501702610669694   precision 0.556719440353461   recall 0.5896786587495634
deviation 1/5   iterations 1970/2000   F1 0.5526985672555292   accuracy 0.8342792281498297   precision 0.54769882179676   recall 0.5627786392711766
deviation 1/5   iterations 1980/2000   F1 0.563956767458189   accuracy 0.8535754824063564   precision 0.5545348551791851   recall 0.5930887836762057
deviation 1/5   iterations 1990/2000   F1 0.5618838671932135   accuracy 0.8456299659477866   precision 0.5541421207658321   recall 0.5808885547691518
deviation 1/5   iterations 2000/2000   F1 0.5572154199860986   accuracy 0.8399545970488081   precision 0.5509204712812961   recall 0.571229913473424

deviation 2/5   iterations 10/2000   F1 0.564903748733536   accuracy 0.7227272727272728   precision 0.6285099846390169   recall 0.5672183834163587
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deviation 2/5   iterations 20/2000   F1 0.36372254446711766   accuracy 0.38636363636363635   precision 0.5775115207373273   recall 0.5382182393252504
deviation 2/5   iterations 30/2000   F1 0.3803117867029285   accuracy 0.4068181818181818   precision 0.5932411674347158   recall 0.5445822634569396
deviation 2/5   iterations 40/2000   F1 0.5192029567732604   accuracy 0.6136363636363636   precision 0.6571428571428571   recall 0.5670995670995671
deviation 2/5   iterations 50/2000   F1 0.5470819906910133   accuracy 0.6863636363636364   precision 0.6284485407066052   recall 0.5614162911082254
deviation 2/5   iterations 60/2000   F1 0.5470837406321278   accuracy 0.6840909090909091   precision 0.6312749615975423   recall 0.5623253344535266
deviation 2/5   iterations 70/2000   F1 0.5394868720053786   accuracy 0.6647727272727273   precision 0.636774193548387   recall 0.5624495017506059
deviation 2/5   iterations 80/2000   F1 0.5269601563402712   accuracy 0.6352272727272728   precision 0.6447004608294931   recall 0.5632370947992524
deviation 2/5   iterations 90/2000   F1 0.5342493638676844   accuracy 0.6454545454545455   precision 0.6505069124423963   recall 0.5663551401869159
deviation 2/5   iterations 100/2000   F1 0.5150837371322126   accuracy 0.6147727272727272   precision 0.641321044546851   recall 0.5606847348868625
deviation 2/5   iterations 110/2000   F1 0.5468295353058108   accuracy 0.675   precision 0.6425806451612903   recall 0.5659566485324966
deviation 2/5   iterations 120/2000   F1 0.5400072970166427   accuracy 0.6613636363636364   precision 0.6430721966205837   recall 0.5647125523175347
deviation 2/5   iterations 130/2000   F1 0.5244032453334779   accuracy 0.6261363636363636   precision 0.6518894009216589   recall 0.5655995244565217
deviation 2/5   iterations 140/2000   F1 0.559486067078258   accuracy 0.7034090909090909   precision 0.638125960061444   recall 0.5679663312693498
deviation 2/5   iterations 150/2000   F1 0.5363636363636364   accuracy 0.6522727272727272   precision 0.6461443932411675   recall 0.5651376146788991
deviation 2/5   iterations 160/2000   F1 0.5042683191056031   accuracy 0.6011363636363637   precision 0.6294623655913978   recall 0.5552484739149588
deviation 2/5   iterations 170/2000   F1 0.5611605052039188   accuracy 0.7011363636363637   precision 0.6450691244239631   recall 0.5705382537823562
deviation 2/5   iterations 180/2000   F1 0.5524821783737122   accuracy 0.6806818181818182   precision 0.6499231950844855   recall 0.569672880116959
deviation 2/5   iterations 190/2000   F1 0.4870673952641165   accuracy 0.5636363636363636   precision 0.6411059907834101   recall 0.5593180937621077
deviation 2/5   iterations 200/2000   F1 0.52988893728223   accuracy 0.6431818181818182   precision 0.6409831029185868   recall 0.5622858880184156
deviation 2/5   iterations 210/2000   F1 0.5720364741641337   accuracy 0.7272727272727273   precision 0.6393241167434716   recall 0.5728748192190262
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deviation 2/5   iterations 220/2000   F1 0.5100245642765235   accuracy 0.5943181818181819   precision 0.6626420890937019   recall 0.568681888946549
deviation 2/5   iterations 230/2000   F1 0.4977667493796526   accuracy 0.5818181818181818   precision 0.6431950844854071   recall 0.5603834693613162
deviation 2/5   iterations 240/2000   F1 0.5155314904531205   accuracy 0.6136363636363636   precision 0.6447926267281106   recall 0.5620526756513359
deviation 2/5   iterations 250/2000   F1 0.5636506782945736   accuracy 0.7022727272727273   precision 0.649831029185868   recall 0.5727133391778338
deviation 2/5   iterations 260/2000   F1 0.4975572183446655   accuracy 0.5897727272727272   precision 0.6271274961597543   recall 0.553926270355929
deviation 2/5   iterations 270/2000   F1 0.5317188390472332   accuracy 0.6477272727272727   precision 0.639447004608295   recall 0.5620112464547437
deviation 2/5   iterations 280/2000   F1 0.5171397216865045   accuracy 0.615909090909091   precision 0.6460829493087558   recall 0.5626875352658585
deviation 2/5   iterations 290/2000   F1 0.4405382796872159   accuracy 0.5034090909090909   precision 0.5904454685099847   recall 0.5383333333333333
deviation 2/5   iterations 300/2000   F1 0.5152304664763435   accuracy 0.6386363636363637   precision 0.6054685099846391   recall 0.5472295136997232
deviation 2/5   iterations 310/2000   F1 0.5474647742466318   accuracy 0.6988636363636364   precision 0.6149615975422427   recall 0.5572787832774118
deviation 2/5   iterations 320/2000   F1 0.550178329848727   accuracy 0.6977272727272728   precision 0.6225499231950845   recall 0.560425111640279
deviation 2/5   iterations 330/2000   F1 0.5260709914320685   accuracy 0.65   precision 0.6201536098310292   recall 0.5542065142065142
deviation 2/5   iterations 340/2000   F1 0.5413233099000708   accuracy 0.6829545454545455   precision 0.6182795698924731   recall 0.5566563066563066
deviation 2/5   iterations 350/2000   F1 0.533354544490402   accuracy 0.6647727272727273   precision 0.6203072196620584   recall 0.5555694305694305
deviation 2/5   iterations 360/2000   F1 0.5381547181694133   accuracy 0.6761363636363636   precision 0.6185253456221198   recall 0.5559831441108867
deviation 2/5   iterations 370/2000   F1 0.5536579457364341   accuracy 0.6954545454545454   precision 0.6336098310291859   recall 0.5648411548255894
deviation 2/5   iterations 380/2000   F1 0.5033818463759233   accuracy 0.6170454545454546   precision 0.6014439324116744   recall 0.5443330970333612
deviation 2/5   iterations 390/2000   F1 0.5357150548054354   accuracy 0.6659090909090909   precision 0.6250691244239631   recall 0.5576828252257154
deviation 2/5   iterations 400/2000   F1 0.5097041970588385   accuracy 0.6284090909090909   precision 0.6037788018433179   recall 0.5458977369073241
deviation 2/5   iterations 410/2000   F1 0.5974536645822771   accuracy 0.7693181818181818   precision 0.6467281105990783   recall 0.5877941176470588
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deviation 2/5   iterations 420/2000   F1 0.5285305834487075   accuracy 0.6556818181818181   precision 0.61926267281106   recall 0.5543040354528973
deviation 2/5   iterations 430/2000   F1 0.5315456498785118   accuracy 0.6556818181818181   precision 0.6274961597542243   recall 0.5577428259756451
deviation 2/5   iterations 440/2000   F1 0.4903226217071137   accuracy 0.5863636363636363   precision 0.6087250384024577   recall 0.5462273565632657
deviation 2/5   iterations 450/2000   F1 0.5341117216117216   accuracy 0.6636363636363637   precision 0.6237788018433179   recall 0.5569199645115536
deviation 2/5   iterations 460/2000   F1 0.5511599550522398   accuracy 0.7090909090909091   precision 0.6125345622119815   recall 0.5577283128770543
deviation 2/5   iterations 470/2000   F1 0.5641275797373358   accuracy 0.7375   precision 0.6121966205837174   recall 0.5628787878787879
deviation 2/5   iterations 480/2000   F1 0.571864371121007   accuracy 0.7477272727272727   precision 0.6180030721966205   recall 0.568026126566496
deviation 2/5   iterations 490/2000   F1 0.5648065725150518   accuracy 0.7329545454545454   precision 0.6178494623655915   recall 0.5645113550748035
deviation 2/5   iterations 500/2000   F1 0.5243770614484881   accuracy 0.6454545454545455   precision 0.6216897081413211   recall 0.5544934761912623
deviation 2/5   iterations 510/2000   F1 0.5437950874733491   accuracy 0.6772727272727272   precision 0.6315207373271889   recall 0.5616081142534783
deviation 2/5   iterations 520/2000   F1 0.5705999633482075   accuracy 0.7488636363636364   precision 0.614531490015361   recall 0.5666781135531136
deviation 2/5   iterations 530/2000   F1 0.572735760971055   accuracy 0.7488636363636364   precision 0.6186482334869432   recall 0.5686211798152097
deviation 2/5   iterations 540/2000   F1 0.5511661334446144   accuracy 0.6875   precision 0.6373271889400922   recall 0.56531268264173
deviation 2/5   iterations 550/2000   F1 0.56641702798581   accuracy 0.7272727272727273   precision 0.6269738863287251   recall 0.5674449572125144
deviation 2/5   iterations 560/2000   F1 0.5912737508796622   accuracy 0.775   precision 0.6293701996927803   recall 0.5818782811588568
deviation 2/5   iterations 570/2000   F1 0.5619452600317235   accuracy 0.7318181818181818   precision 0.6130875576036866   recall 0.5620821555545061
deviation 2/5   iterations 580/2000   F1 0.5580713360158222   accuracy 0.7238636363636364   precision 0.6126881720430107   recall 0.5603352984524687
deviation 2/5   iterations 590/2000   F1 0.5777310722751658   accuracy 0.7727272727272727   precision 0.6074961597542242   recall 0.5703000056256078
deviation 2/5   iterations 600/2000   F1 0.5387873558710488   accuracy 0.6659090909090909   precision 0.6333026113671275   recall 0.5611226622941212
deviation 2/5   iterations 610/2000   F1 0.589414355567168   accuracy 0.7727272727272727   precision 0.6280798771121352   recall 0.5804261098378746
deviation 2/5   iterations 620/2000   F1 0.5771301446051168   accuracy 0.7545454545454545   precision 0.6218740399385561   recall 0.5716711833785004
deviation 2/5   iterations 630/2000   F1 0.5856270449227663   accuracy 0.7795454545454545   precision 0.6154838709677419   recall 0.5768328277914496
deviation 2/5   iterations 640/2000   F1 0.5884175084175084   accuracy 0.7829545454545455   precision 0.6174193548387097   recall 0.5791632145816072
deviation 2/5   iterations 650/2000   F1 0.5293982528299991   accuracy 0.6613636363636364   precision 0.6142549923195084   recall 0.552695265785909
deviation 2/5   iterations 660/2000   F1 0.565093180912979   accuracy 0.7306818181818182   precision 0.6206758832565284   recall 0.5653203490847168
deviation 2/5   iterations 670/2000   F1 0.5871452029087497   accuracy 0.7727272727272727   precision 0.623963133640553   recall 0.5784561539957224
deviation 2/5   iterations 680/2000   F1 0.5843947970248773   accuracy 0.7693181818181818   precision 0.6220276497695852   recall 0.5763282499077604
deviation 2/5   iterations 690/2000   F1 0.5792328278322926   accuracy 0.7715909090909091   precision 0.6109677419354839   recall 0.5716666666666667
deviation 2/5   iterations 700/2000   F1 0.5608673776590041   accuracy 0.725   precision 0.6174500768049155   recall 0.5627169583505588
deviation 2/5   iterations 710/2000   F1 0.5766024056681496   accuracy 0.7511363636363636   precision 0.6240552995391705   recall 0.5717484008528785
deviation 2/5   iterations 720/2000   F1 0.5825426944971537   accuracy 0.7818181818181819   precision 0.6085407066052227   recall 0.5741784313560816
deviation 2/5   iterations 730/2000   F1 0.5732712636989623   accuracy 0.7670454545454546   precision 0.6042703533026114   recall 0.5667920904310589
deviation 2/5   iterations 740/2000   F1 0.5648065725150518   accuracy 0.7329545454545454   precision 0.6178494623655915   recall 0.5645113550748035
deviation 2/5   iterations 750/2000   F1 0.5864661654135339   accuracy 0.7636363636363637   precision 0.6311520737327189   recall 0.5787527948110597
deviation 2/5   iterations 760/2000   F1 0.5928630338140929   accuracy 0.8170454545454545   precision 0.5997235023041474   recall 0.5877524979454128
deviation 2/5   iterations 770/2000   F1 0.5858675748674611   accuracy 0.7602272727272728   precision 0.6333333333333333   recall 0.578677920872491
deviation 2/5   iterations 780/2000   F1 0.5589832112927026   accuracy 0.7545454545454545   precision 0.5889400921658986   recall 0.5554177290790894
deviation 2/5   iterations 790/2000   F1 0.6017009810113259   accuracy 0.8045454545454546   precision 0.6214439324116743   recall 0.5917160861616133
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deviation 2/5   iterations 800/2000   F1 0.5688850733455264   accuracy 0.7613636363636364   precision 0.6010445468509985   recall 0.5634496222731517
deviation 2/5   iterations 810/2000   F1 0.5754882154882155   accuracy 0.7761363636363636   precision 0.6011981566820277   recall 0.5682270091135045
deviation 2/5   iterations 820/2000   F1 0.5795874049945712   accuracy 0.8125   precision 0.5847926267281106   recall 0.575657894736842
deviation 2/5   iterations 830/2000   F1 0.5482198321225967   accuracy 0.7272727272727273   precision 0.5899231950844854   recall 0.5502440967048662
deviation 2/5   iterations 840/2000   F1 0.583207344712893   accuracy 0.7988636363636363   precision 0.5976344086021506   recall 0.5758139623649758
deviation 2/5   iterations 850/2000   F1 0.5738456672991776   accuracy 0.7772727272727272   precision 0.597726574500768   recall 0.5667878828598063
deviation 2/5   iterations 860/2000   F1 0.5870095738689693   accuracy 0.8068181818181818   precision 0.5980337941628264   recall 0.5802961218306811
deviation 2/5   iterations 870/2000   F1 0.5582991376746952   accuracy 0.7602272727272728   precision 0.5839324116743472   recall 0.5542063492063491
deviation 2/5   iterations 880/2000   F1 0.588941184826226   accuracy 0.8056818181818182   precision 0.601505376344086   recall 0.581633459835547
deviation 2/5   iterations 890/2000   F1 0.561393419367701   accuracy 0.7784090909090909   precision 0.5777880184331797   recall 0.5560454738631534
deviation 2/5   iterations 900/2000   F1 0.569421468347352   accuracy 0.7852272727272728   precision 0.5857757296466974   recall 0.5630783689994217
deviation 2/5   iterations 910/2000   F1 0.5721083445056225   accuracy 0.803409090909091   precision 0.5796313364055299   recall 0.5673204787234043
deviation 2/5   iterations 920/2000   F1 0.5683909869882577   accuracy 0.7875   precision 0.5829493087557603   recall 0.562306158617634
deviation 2/5   iterations 930/2000   F1 0.5903809650469708   accuracy 0.825   precision 0.591889400921659   recall 0.5889765466033627
deviation 2/5   iterations 940/2000   F1 0.5849277210884354   accuracy 0.8386363636363636   precision 0.579047619047619   recall 0.5932367990027685
deviation 2/5   iterations 950/2000   F1 0.5910983346550357   accuracy 0.8295454545454546   precision 0.5903533026113672   recall 0.5918706501230773
deviation 2/5   iterations 960/2000   F1 0.5651688796085245   accuracy 0.7534090909090909   precision 0.6006451612903225   recall 0.5610902255639098
deviation 2/5   iterations 970/2000   F1 0.5702256191071667   accuracy 0.821590909090909   precision 0.5693701996927804   recall 0.5711351378597711
deviation 2/5   iterations 980/2000   F1 0.6095709801185909   accuracy 0.8193181818181818   precision 0.6215975422427036   recall 0.6014871794871794
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deviation 2/5   iterations 990/2000   F1 0.5741571860974846   accuracy 0.7681818181818182   precision 0.6049155145929339   recall 0.5674799832436235
deviation 2/5   iterations 1000/2000   F1 0.5868260730154368   accuracy 0.8136363636363636   precision 0.5936712749615976   recall 0.5818646561630741
deviation 2/5   iterations 1010/2000   F1 0.5936772406204871   accuracy 0.7863636363636364   precision 0.6234715821812595   recall 0.5836183723233382
deviation 2/5   iterations 1020/2000   F1 0.577292152077651   accuracy 0.8022727272727272   precision 0.5872196620583717   recall 0.5714386367525239
deviation 2/5   iterations 1030/2000   F1 0.57531716643001   accuracy 0.7636363636363637   precision 0.610568356374808   recall 0.5688940956668888
deviation 2/5   iterations 1040/2000   F1 0.5676659430443927   accuracy 0.7693181818181818   precision 0.59321044546851   recall 0.5617449773696721
deviation 2/5   iterations 1050/2000   F1 0.5766520748779367   accuracy 0.7943181818181818   precision 0.590937019969278   recall 0.5698218599033816
deviation 2/5   iterations 1060/2000   F1 0.5813073166650982   accuracy 0.7931818181818182   precision 0.5985253456221198   recall 0.5736097466924963
deviation 2/5   iterations 1070/2000   F1 0.5672963196266203   accuracy 0.7897727272727273   precision 0.5801228878648234   recall 0.5615187198067633
deviation 2/5   iterations 1080/2000   F1 0.5770550688465981   accuracy 0.8056818181818182   precision 0.5850384024577573   recall 0.5718916223404256
deviation 2/5   iterations 1090/2000   F1 0.5748792270531401   accuracy 0.8068181818181818   precision 0.5815668202764976   recall 0.5703311258278145
deviation 2/5   iterations 1100/2000   F1 0.5802631578947368   accuracy 0.8022727272727272   precision 0.5913364055299539   recall 0.5739000745712155
deviation 2/5   iterations 1110/2000   F1 0.5754278273809523   accuracy 0.8113636363636364   precision 0.5800307219662059   recall 0.5719144425181373
deviation 2/5   iterations 1120/2000   F1 0.5851564996472312   accuracy 0.8306818181818182   precision 0.5827649769585254   recall 0.587882979278668
deviation 2/5   iterations 1130/2000   F1 0.5634191627943531   accuracy 0.7704545454545455   precision 0.5856221198156681   recall 0.5579856689885901
deviation 2/5   iterations 1140/2000   F1 0.5686178873804966   accuracy 0.7738636363636363   precision 0.5916743471582181   recall 0.5623662386302836
deviation 2/5   iterations 1150/2000   F1 0.5997488664108824   accuracy 0.8147727272727273   precision 0.6107834101382488   recall 0.5924615384615385
deviation 2/5   iterations 1160/2000   F1 0.5756400695998012   accuracy 0.7795454545454545   precision 0.5990168970814133   recall 0.5682983682983683
deviation 2/5   iterations 1170/2000   F1 0.5679147982671018   accuracy 0.7943181818181818   precision 0.5785867895545315   recall 0.562453611469198
deviation 2/5   iterations 1180/2000   F1 0.5745180685043393   accuracy 0.7988636363636363   precision 0.5852841781874041   recall 0.5685879190385832
deviation 2/5   iterations 1190/2000   F1 0.5948751357220412   accuracy 0.8193181818181818   precision 0.6010138248847926   recall 0.5901315789473685
deviation 2/5   iterations 1200/2000   F1 0.5767043335331143   accuracy 0.7875   precision 0.5952995391705069   recall 0.5693624557260921
deviation 2/5   iterations 1210/2000   F1 0.5938664605231276   accuracy 0.8181818181818182   precision 0.60036866359447   recall 0.5889328063241106
deviation 2/5   iterations 1220/2000   F1 0.5937892325921221   accuracy 0.821590909090909   precision 0.5981874039938556   recall 0.5901561653728109
deviation 2/5   iterations 1230/2000   F1 0.5948132390504143   accuracy 0.7965909090909091   precision 0.6169278033794163   recall 0.5851042896497443
deviation 2/5   iterations 1240/2000   F1 0.5907738095238095   accuracy 0.8181818181818182   precision 0.5962519201228879   recall 0.5864905752051149
deviation 2/5   iterations 1250/2000   F1 0.585594538681632   accuracy 0.8352272727272727   precision 0.5812288786482335   recall 0.5911774442727874
deviation 2/5   iterations 1260/2000   F1 0.5681794234966508   accuracy 0.8147727272727273   precision 0.569615975422427   recall 0.5668831168831169
deviation 2/5   iterations 1270/2000   F1 0.5871871480140782   accuracy 0.7875   precision 0.6117665130568356   recall 0.578192166168025
deviation 2/5   iterations 1280/2000   F1 0.5759496296579961   accuracy 0.8284090909090909   precision 0.5732411674347159   recall 0.579187925170068
deviation 2/5   iterations 1290/2000   F1 0.5859569739621394   accuracy 0.8397727272727272   precision 0.5796927803379416   recall 0.5949710034561537
deviation 2/5   iterations 1300/2000   F1 0.5957006927736336   accuracy 0.8272727272727273   precision 0.5972964669738864   recall 0.5942122109972751
deviation 2/5   iterations 1310/2000   F1 0.6140350877192983   accuracy 0.8181818181818182   precision 0.6291858678955453   recall 0.6045239870743226
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deviation 2/5   iterations 1320/2000   F1 0.5858516424747362   accuracy 0.8125   precision 0.593026113671275   recall 0.5807518347840929
deviation 2/5   iterations 1330/2000   F1 0.5801046389954656   accuracy 0.8056818181818182   precision 0.5891551459293395   recall 0.5744102564102564
deviation 2/5   iterations 1340/2000   F1 0.599561403508772   accuracy 0.8113636363636364   precision 0.6129646697388633   recall 0.5913994531444196
deviation 2/5   iterations 1350/2000   F1 0.5730631584253238   accuracy 0.825   precision 0.5713056835637481   recall 0.575046237018068
deviation 2/5   iterations 1360/2000   F1 0.5712197498781875   accuracy 0.8363636363636363   precision 0.5654070660522273   recall 0.5804598569938474
deviation 2/5   iterations 1370/2000   F1 0.5711661731079207   accuracy 0.8227272727272728   precision 0.5700153609831029   recall 0.5724144943377522
deviation 2/5   iterations 1380/2000   F1 0.5643692585982216   accuracy 0.7897727272727273   precision 0.5760061443932412   recall 0.5590194282224512
deviation 2/5   iterations 1390/2000   F1 0.5955707426791816   accuracy 0.8068181818181818   precision 0.610384024577573   recall 0.5872095845590735
deviation 2/5   iterations 1400/2000   F1 0.5753707766963774   accuracy 0.8193181818181818   precision 0.5763133640552995   recall 0.5744818652849741
deviation 2/5   iterations 1410/2000   F1 0.5921249506176295   accuracy 0.8306818181818182   precision 0.5909984639016896   recall 0.5933136750844297
deviation 2/5   iterations 1420/2000   F1 0.5994871794871794   accuracy 0.8386363636363636   precision 0.5955145929339478   recall 0.6042239356352666
deviation 2/5   iterations 1430/2000   F1 0.5758116822923054   accuracy 0.8079545454545455   precision 0.5822119815668203   recall 0.5713645673323093
deviation 2/5   iterations 1440/2000   F1 0.5827478296852505   accuracy 0.8125   precision 0.5889093701996928   recall 0.5782365154202171
deviation 2/5   iterations 1450/2000   F1 0.5791832329111503   accuracy 0.8409090909090909   precision 0.5721044546850999   recall 0.5906611659636274
deviation 2/5   iterations 1460/2000   F1 0.5780441640378549   accuracy 0.8488636363636364   precision 0.5683870967741935   recall 0.5981481481481481
deviation 2/5   iterations 1470/2000   F1 0.5665908556191672   accuracy 0.821590909090909   precision 0.5652534562211982   recall 0.5680769230769231
deviation 2/5   iterations 1480/2000   F1 0.6007863299561469   accuracy 0.8363636363636363   precision 0.5983410138248848   recall 0.6034997865983781
deviation 2/5   iterations 1490/2000   F1 0.5934389714813715   accuracy 0.8284090909090909   precision 0.5938248847926267   recall 0.5930598215591634
deviation 2/5   iterations 1500/2000   F1 0.5590021489302065   accuracy 0.7988636363636363   precision 0.5647004608294931   recall 0.5554187192118226
deviation 2/5   iterations 1510/2000   F1 0.5618153364632238   accuracy 0.825   precision 0.5589554531490015   recall 0.5655476766269076
deviation 2/5   iterations 1520/2000   F1 0.5866501177400139   accuracy 0.8284090909090909   precision 0.5855913978494623   recall 0.587769040778265
deviation 2/5   iterations 1530/2000   F1 0.5549685265174502   accuracy 0.8068181818181818   precision 0.5568663594470046   recall 0.5533915611911713
deviation 2/5   iterations 1540/2000   F1 0.5709619228706548   accuracy 0.8181818181818182   precision 0.5715514592933948   recall 0.570395715201122
deviation 2/5   iterations 1550/2000   F1 0.5866501177400139   accuracy 0.8284090909090909   precision 0.5855913978494623   recall 0.587769040778265
deviation 2/5   iterations 1560/2000   F1 0.5779023239194048   accuracy 0.8306818181818182   precision 0.574531490015361   recall 0.582088138162525
deviation 2/5   iterations 1570/2000   F1 0.5831303123815711   accuracy 0.8409090909090909   precision 0.576221198156682   recall 0.5937627549092228
deviation 2/5   iterations 1580/2000   F1 0.5761807092169918   accuracy 0.8375   precision 0.5701689708141321   recall 0.5853972242163197
deviation 2/5   iterations 1590/2000   F1 0.5790755315910772   accuracy 0.85   precision 0.5690322580645162   recall 0.6003859968905806
deviation 2/5   iterations 1600/2000   F1 0.5741626638866426   accuracy 0.8306818181818182   precision 0.5704147465437788   recall 0.5790388435224012
deviation 2/5   iterations 1610/2000   F1 0.5841522483917045   accuracy 0.8   precision 0.5982795698924731   recall 0.5767521761245309
deviation 2/5   iterations 1620/2000   F1 0.588614573134697   accuracy 0.8193181818181818   precision 0.5927803379416283   recall 0.5851913702834447
deviation 2/5   iterations 1630/2000   F1 0.5684513922504754   accuracy 0.8238636363636364   precision 0.5665437788018434   recall 0.5706586982619135
deviation 2/5   iterations 1640/2000   F1 0.5890629800307221   accuracy 0.8272727272727273   precision 0.589062980030722   recall 0.589062980030722
deviation 2/5   iterations 1650/2000   F1 0.5722660706078412   accuracy 0.8329545454545455   precision 0.5675883256528418   recall 0.5789141414141414
deviation 2/5   iterations 1660/2000   F1 0.589085593633263   accuracy 0.8431818181818181   precision 0.5816282642089093   recall 0.6004142038669106
deviation 2/5   iterations 1670/2000   F1 0.5760035118901036   accuracy 0.8465909090909091   precision 0.5670967741935484   recall 0.5938531353135313
deviation 2/5   iterations 1680/2000   F1 0.5712339278368261   accuracy 0.8102272727272727   precision 0.5752688172043011   recall 0.568119133413408
deviation 2/5   iterations 1690/2000   F1 0.609651260136697   accuracy 0.8386363636363636   precision 0.6078648233486943   recall 0.6115608993505256
deviation 2/5   iterations 1700/2000   F1 0.5882051282051282   accuracy 0.8340909090909091   precision 0.584700460829493   recall 0.5924237344954744
deviation 2/5   iterations 1710/2000   F1 0.5681166881166881   accuracy 0.8375   precision 0.5619354838709677   recall 0.57875
deviation 2/5   iterations 1720/2000   F1 0.5702256191071667   accuracy 0.821590909090909   precision 0.5693701996927804   recall 0.5711351378597711
deviation 2/5   iterations 1730/2000   F1 0.5822849413435836   accuracy 0.8488636363636364   precision 0.5725038402457757   recall 0.6014163916391639
deviation 2/5   iterations 1740/2000   F1 0.5933568748620613   accuracy 0.8477272727272728   precision 0.5842089093701996   recall 0.6082902700738002
deviation 2/5   iterations 1750/2000   F1 0.555835630512109   accuracy 0.8079545454545455   precision 0.5575115207373272   recall 0.5544084821428571
deviation 2/5   iterations 1760/2000   F1 0.5761120668468911   accuracy 0.8329545454545455   precision 0.571705069124424   recall 0.5820675105485232
deviation 2/5   iterations 1770/2000   F1 0.5854531750518184   accuracy 0.8522727272727273   precision 0.5744393241167435   recall 0.6082488965135189
deviation 2/5   iterations 1780/2000   F1 0.5948849104859335   accuracy 0.8159090909090909   precision 0.603195084485407   recall 0.5889801324503312
deviation 2/5   iterations 1790/2000   F1 0.5998771121351767   accuracy 0.8318181818181818   precision 0.5998771121351767   recall 0.5998771121351767
deviation 2/5   iterations 1800/2000   F1 0.585061237320308   accuracy 0.8227272727272728   precision 0.5864823348694317   recall 0.5837408822094504
deviation 2/5   iterations 1810/2000   F1 0.5957006927736336   accuracy 0.8272727272727273   precision 0.5972964669738864   recall 0.5942122109972751
deviation 2/5   iterations 1820/2000   F1 0.5896970613438177   accuracy 0.8318181818181818   precision 0.5875268817204301   recall 0.5921183667662541
deviation 2/5   iterations 1830/2000   F1 0.588370754173863   accuracy 0.8227272727272728   precision 0.5905990783410138   recall 0.5863705057463184
deviation 2/5   iterations 1840/2000   F1 0.5989431297665886   accuracy 0.8204545454545454   precision 0.6057757296466973   recall 0.593723799257396
deviation 2/5   iterations 1850/2000   F1 0.5737004948988659   accuracy 0.7738636363636363   precision 0.5999078341013825   recall 0.5667619235317304
deviation 2/5   iterations 1860/2000   F1 0.5855614973262032   accuracy 0.7886363636363637   precision 0.6082949308755761   recall 0.5768717452175961
deviation 2/5   iterations 1870/2000   F1 0.6081720065887418   accuracy 0.8147727272727273   precision 0.6231336405529955   recall 0.599027514231499
deviation 2/5   iterations 1880/2000   F1 0.5946714834048318   accuracy 0.8261363636363637   precision 0.5966513056835637   recall 0.5928571428571429
deviation 2/5   iterations 1890/2000   F1 0.5797415095936453   accuracy 0.8204545454545454   precision 0.5810752688172043   recall 0.5785052178155381
deviation 2/5   iterations 1900/2000   F1 0.5910983346550357   accuracy 0.8295454545454546   precision 0.5903533026113672   recall 0.5918706501230773
deviation 2/5   iterations 1910/2000   F1 0.5763688508567444   accuracy 0.8125   precision 0.5806758832565284   recall 0.5730125895280039
deviation 2/5   iterations 1920/2000   F1 0.585061237320308   accuracy 0.8227272727272728   precision 0.5864823348694317   recall 0.5837408822094504
deviation 2/5   iterations 1930/2000   F1 0.590724868779483   accuracy 0.8329545454545455   precision 0.5881720430107527   recall 0.5936244062842528
deviation 2/5   iterations 1940/2000   F1 0.5702256191071667   accuracy 0.821590909090909   precision 0.5693701996927804   recall 0.5711351378597711
deviation 2/5   iterations 1950/2000   F1 0.5766640426834602   accuracy 0.825   precision 0.5754224270353303   recall 0.5780068379110055
deviation 2/5   iterations 1960/2000   F1 0.5688311688311688   accuracy 0.8113636363636364   precision 0.5717972350230415   recall 0.5664109121909634
deviation 2/5   iterations 1970/2000   F1 0.5684732830772045   accuracy 0.7988636363636363   precision 0.5770506912442397   recall 0.5635026737967914
deviation 2/5   iterations 1980/2000   F1 0.5948849104859335   accuracy 0.8159090909090909   precision 0.603195084485407   recall 0.5889801324503312
deviation 2/5   iterations 1990/2000   F1 0.5728417818740399   accuracy 0.8204545454545454   precision 0.5728417818740399   recall 0.5728417818740399
deviation 2/5   iterations 2000/2000   F1 0.5761120668468911   accuracy 0.8329545454545455   precision 0.571705069124424   recall 0.5820675105485232

deviation 3/5   iterations 10/2000   F1 0.5143723564696725   accuracy 0.6511363636363636   precision 0.5878648233486943   recall 0.5405844155844156
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deviation 3/5   iterations 20/2000   F1 0.3926491888056147   accuracy 0.43522727272727274   precision 0.555852534562212   recall 0.5248094936570668
deviation 3/5   iterations 30/2000   F1 0.35956873315363885   accuracy 0.38636363636363635   precision 0.5486943164362519   recall 0.5233672416334955
deviation 3/5   iterations 40/2000   F1 0.5117858785959785   accuracy 0.6272727272727273   precision 0.6113671274961597   recall 0.5489994647230888
deviation 3/5   iterations 50/2000   F1 0.528499566585444   accuracy 0.6431818181818182   precision 0.6368663594470045   recall 0.5605960859417081
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deviation 3/5   iterations 60/2000   F1 0.5391440072291136   accuracy 0.6522727272727272   precision 0.6543778801843319   recall 0.5684981924656078
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deviation 3/5   iterations 70/2000   F1 0.5871976021395544   accuracy 0.7375   precision 0.6615975422427035   recall 0.5847381173316837
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deviation 3/5   iterations 80/2000   F1 0.5592948717948718   accuracy 0.6818181818181818   precision 0.6670353302611367   recall 0.5768115778231115
deviation 3/5   iterations 90/2000   F1 0.5783354110374802   accuracy 0.7261363636363637   precision 0.6551459293394777   recall 0.5794005182259566
deviation 3/5   iterations 100/2000   F1 0.5533124492400512   accuracy 0.6818181818181818   precision 0.650568356374808   recall 0.5700819648689306
deviation 3/5   iterations 110/2000   F1 0.5580126467931347   accuracy 0.6840909090909091   precision 0.6600921658986175   recall 0.5742836778332145
deviation 3/5   iterations 120/2000   F1 0.5377611766079141   accuracy 0.6522727272727272   precision 0.6502611367127497   recall 0.5668202261313398
deviation 3/5   iterations 130/2000   F1 0.5657822517006676   accuracy 0.696590909090909   precision 0.6630721966205837   recall 0.5772877644208368
deviation 3/5   iterations 140/2000   F1 0.5480274017242968   accuracy 0.6704545454545454   precision 0.6523502304147466   recall 0.5694650671537673
deviation 3/5   iterations 150/2000   F1 0.5673238938639766   accuracy 0.696590909090909   precision 0.6671889400921659   recall 0.5789684474472383
deviation 3/5   iterations 160/2000   F1 0.5248157017420293   accuracy 0.634090909090909   precision 0.6399385560675883   recall 0.5612129161268821
deviation 3/5   iterations 170/2000   F1 0.5632352941176471   accuracy 0.6931818181818182   precision 0.6611367127496159   recall 0.5759814573373896
deviation 3/5   iterations 180/2000   F1 0.6087683683862637   accuracy 0.7852272727272728   precision 0.6516436251920124   recall 0.5963580709645178
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deviation 3/5   iterations 190/2000   F1 0.5713758920630789   accuracy 0.7193181818181819   precision 0.6471582181259601   recall 0.5746217502928787
deviation 3/5   iterations 200/2000   F1 0.5106283976257759   accuracy 0.6102272727272727   precision 0.6346236559139784   recall 0.5577320348236683
deviation 3/5   iterations 210/2000   F1 0.5553060078607523   accuracy 0.6931818181818182   precision 0.6405529953917051   recall 0.5674480318443167
deviation 3/5   iterations 220/2000   F1 0.5893195160460227   accuracy 0.7568181818181818   precision 0.6437480798771121   recall 0.5823355927669968
deviation 3/5   iterations 230/2000   F1 0.5705272363818091   accuracy 0.7159090909090909   precision 0.6493394777265745   recall 0.5748901528923838
deviation 3/5   iterations 240/2000   F1 0.5336942057654397   accuracy 0.6465909090909091   precision 0.6470353302611367   recall 0.5650285875779908
deviation 3/5   iterations 250/2000   F1 0.5526035260352604   accuracy 0.6829545454545455   precision 0.6470967741935484   recall 0.5687931034482758
deviation 3/5   iterations 260/2000   F1 0.5704761904761905   accuracy 0.7204545454545455   precision 0.6436866359447004   recall 0.573364705882353
deviation 3/5   iterations 270/2000   F1 0.5739630184907546   accuracy 0.7181818181818181   precision 0.6547465437788018   recall 0.5776016663482693
deviation 3/5   iterations 280/2000   F1 0.4939826616674945   accuracy 0.5829545454545455   precision 0.627373271889401   recall 0.5538598241566377
deviation 3/5   iterations 290/2000   F1 0.5039238910811444   accuracy 0.5954545454545455   precision 0.6385867895545314   recall 0.558813252603637
deviation 3/5   iterations 300/2000   F1 0.554359815777504   accuracy 0.6875   precision 0.6455606758832566   recall 0.5687527570755264
deviation 3/5   iterations 310/2000   F1 0.5845136921624173   accuracy 0.7363636363636363   precision 0.6568356374807988   recall 0.5824498840371856
deviation 3/5   iterations 320/2000   F1 0.5731022752698306   accuracy 0.7215909090909091   precision 0.6484485407066052   recall 0.5756209935897436
deviation 3/5   iterations 330/2000   F1 0.5738636363636364   accuracy 0.7272727272727273   precision 0.6434408602150538   recall 0.5746557425280299
deviation 3/5   iterations 340/2000   F1 0.5765406073638284   accuracy 0.7284090909090909   precision 0.6482027649769585   recall 0.5769446712944059
deviation 3/5   iterations 350/2000   F1 0.5713309265944645   accuracy 0.7125   precision 0.6556374807987712   recall 0.5768973891924711
deviation 3/5   iterations 360/2000   F1 0.5553242678613179   accuracy 0.6954545454545454   precision 0.6377265745007681   recall 0.5665848775242248
deviation 3/5   iterations 370/2000   F1 0.5686927693080117   accuracy 0.7204545454545455   precision 0.6395698924731184   recall 0.5715969766313016
deviation 3/5   iterations 380/2000   F1 0.5627436539500172   accuracy 0.7125   precision 0.6350537634408602   recall 0.5681761786600497
deviation 3/5   iterations 390/2000   F1 0.5866489269393186   accuracy 0.7693181818181818   precision 0.6261443932411674   recall 0.5782990083905416
deviation 3/5   iterations 400/2000   F1 0.542050365409417   accuracy 0.6863636363636364   precision 0.6160983102918587   recall 0.5561285416381989
deviation 3/5   iterations 410/2000   F1 0.5916511215673173   accuracy 0.7727272727272727   precision 0.6321966205837174   recall 0.582370462254688
deviation 3/5   iterations 420/2000   F1 0.5965250965250964   accuracy 0.7840909090909091   precision 0.6304147465437788   recall 0.5860182370820668
deviation 3/5   iterations 430/2000   F1 0.5544941102962072   accuracy 0.6943181818181818   precision 0.6370814132104454   recall 0.5661483906164757
deviation 3/5   iterations 440/2000   F1 0.5941552511415524   accuracy 0.7704545454545455   precision 0.6391397849462366   recall 0.5847651132322665
deviation 3/5   iterations 450/2000   F1 0.5936754619118593   accuracy 0.7806818181818181   precision 0.6284792626728111   recall 0.5836694516469797
deviation 3/5   iterations 460/2000   F1 0.5979175897208684   accuracy 0.775   precision 0.6417204301075269   recall 0.5876336446325581
deviation 3/5   iterations 470/2000   F1 0.6204334415716529   accuracy 0.8193181818181818   precision 0.6380645161290323   recall 0.609721082854799
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deviation 3/5   iterations 480/2000   F1 0.6322105337918864   accuracy 0.8261363636363637   precision 0.6501689708141322   recall 0.6207700822264389
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deviation 3/5   iterations 490/2000   F1 0.5806581059390048   accuracy 0.740909090909091   precision 0.6429493087557603   recall 0.5775918996257979
deviation 3/5   iterations 500/2000   F1 0.5929909876575838   accuracy 0.7613636363636364   precision 0.6463287250384024   recall 0.5849086202839439
deviation 3/5   iterations 510/2000   F1 0.5715676728334955   accuracy 0.7340909090909091   precision 0.6308448540706606   recall 0.5706297138990786
deviation 3/5   iterations 520/2000   F1 0.6122994652406416   accuracy 0.8022727272727272   precision 0.64073732718894   recall 0.5999005574019313
deviation 3/5   iterations 530/2000   F1 0.6088501464272017   accuracy 0.8011363636363636   precision 0.6359754224270353   recall 0.5969967390160945
deviation 3/5   iterations 540/2000   F1 0.5966786946497576   accuracy 0.7761363636363636   precision 0.6382488479262672   recall 0.5864746033698192
deviation 3/5   iterations 550/2000   F1 0.5946218293841591   accuracy 0.7818181818181819   precision 0.6291244239631336   recall 0.5844443908672277
deviation 3/5   iterations 560/2000   F1 0.6107401283497851   accuracy 0.7875   precision 0.6529339477726575   recall 0.5979643565603452
deviation 3/5   iterations 570/2000   F1 0.6230349565568802   accuracy 0.8193181818181818   precision 0.6421812596006145   recall 0.6116795366795367
deviation 3/5   iterations 580/2000   F1 0.6018891374596073   accuracy 0.7931818181818182   precision 0.6314592933947772   recall 0.5906759906759906
deviation 3/5   iterations 590/2000   F1 0.5901369863013699   accuracy 0.7681818181818182   precision 0.6337327188940092   recall 0.5814710836608648
deviation 3/5   iterations 600/2000   F1 0.6333333333333333   accuracy 0.8272727272727273   precision 0.6508141321044547   recall 0.6220233656475267
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deviation 3/5   iterations 610/2000   F1 0.6160239361702128   accuracy 0.8090909090909091   precision 0.6404915514592934   recall 0.6038572298076835
deviation 3/5   iterations 620/2000   F1 0.6248579007199697   accuracy 0.8159090909090909   precision 0.6484792626728111   recall 0.6121335300832476
deviation 3/5   iterations 630/2000   F1 0.5984427033272168   accuracy 0.7863636363636364   precision 0.6317050691244239   recall 0.5876249887581656
deviation 3/5   iterations 640/2000   F1 0.6082589732303629   accuracy 0.7977272727272727   precision 0.6381566820276497   recall 0.5961958056318505
deviation 3/5   iterations 650/2000   F1 0.6102706565610814   accuracy 0.8   precision 0.639447004608295   recall 0.5980269352706917
deviation 3/5   iterations 660/2000   F1 0.609262701596213   accuracy 0.7988636363636363   precision 0.6388018433179723   recall 0.597106159083875
deviation 3/5   iterations 670/2000   F1 0.6129221445677142   accuracy 0.8056818181818182   precision 0.6385560675883256   recall 0.6008461235733963
deviation 3/5   iterations 680/2000   F1 0.6243041506801534   accuracy 0.8261363636363637   precision 0.6378187403993856   recall 0.615025641025641
deviation 3/5   iterations 690/2000   F1 0.6145198802514042   accuracy 0.7943181818181818   precision 0.6526881720430108   recall 0.6011445410439257
deviation 3/5   iterations 700/2000   F1 0.6209915031132434   accuracy 0.8284090909090909   precision 0.6308755760368664   recall 0.6136072708653354
deviation 3/5   iterations 710/2000   F1 0.5998065442890863   accuracy 0.7852272727272728   precision 0.6351766513056836   recall 0.5887784090909091
deviation 3/5   iterations 720/2000   F1 0.5825765025741887   accuracy 0.7670454545454546   precision 0.62073732718894   recall 0.5749427917620137
deviation 3/5   iterations 730/2000   F1 0.6351865082515238   accuracy 0.8397727272727272   precision 0.6414439324116743   recall 0.6298745260877414
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deviation 3/5   iterations 740/2000   F1 0.6133204304680336   accuracy 0.803409090909091   precision 0.6413824884792627   recall 0.6008538167537432
deviation 3/5   iterations 750/2000   F1 0.6294031452273541   accuracy 0.8340909090909091   precision 0.6382181259600614   recall 0.6224697568571087
deviation 3/5   iterations 760/2000   F1 0.6212121212121212   accuracy 0.8068181818181818   precision 0.6515514592933948   recall 0.607576828130043
deviation 3/5   iterations 770/2000   F1 0.6401665344964313   accuracy 0.85   precision 0.6390168970814132   recall 0.6413514763029327
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deviation 3/5   iterations 780/2000   F1 0.5944596108814703   accuracy 0.7761363636363636   precision 0.6341321044546852   recall 0.5845573425056552
deviation 3/5   iterations 790/2000   F1 0.6141731374969713   accuracy 0.8272727272727273   precision 0.6219969278033795   recall 0.6080967780572524
deviation 3/5   iterations 800/2000   F1 0.6161618392429244   accuracy 0.8204545454545454   precision 0.6304761904761904   recall 0.6068685770651528
deviation 3/5   iterations 810/2000   F1 0.6077799615512668   accuracy 0.8113636363636364   precision 0.6253149001536098   recall 0.5978656225107727
deviation 3/5   iterations 820/2000   F1 0.6333333333333333   accuracy 0.8272727272727273   precision 0.6508141321044547   recall 0.6220233656475267
deviation 3/5   iterations 830/2000   F1 0.6395987700992993   accuracy 0.8522727272727273   precision 0.6361904761904762   recall 0.6433347560108124
deviation 3/5   iterations 840/2000   F1 0.6193606989921709   accuracy 0.8181818181818182   precision 0.6374193548387097   recall 0.6085690152331575
deviation 3/5   iterations 850/2000   F1 0.6078952511237052   accuracy 0.8056818181818182   precision 0.6303225806451613   recall 0.5968493150684931
deviation 3/5   iterations 860/2000   F1 0.6264619552946489   accuracy 0.8397727272727272   precision 0.6290937019969278   recall 0.624025974025974
deviation 3/5   iterations 870/2000   F1 0.6296204600034662   accuracy 0.8261363636363637   precision 0.64605222734255   recall 0.618892801408507
deviation 3/5   iterations 880/2000   F1 0.6359236136385553   accuracy 0.8488636363636364   precision 0.6342549923195084   recall 0.6376707495337467
deviation 3/5   iterations 890/2000   F1 0.646421032431395   accuracy 0.8477272727272728   precision 0.6500768049155146   recall 0.6430722009395611
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deviation 3/5   iterations 900/2000   F1 0.6043798623863696   accuracy 0.7988636363636363   precision 0.6305683563748079   recall 0.593139661278446
deviation 3/5   iterations 910/2000   F1 0.6141731374969713   accuracy 0.8272727272727273   precision 0.6219969278033795   recall 0.6080967780572524
deviation 3/5   iterations 920/2000   F1 0.6140750958832019   accuracy 0.8125   precision 0.6341935483870969   recall 0.6030344202898551
deviation 3/5   iterations 930/2000   F1 0.6148905939187268   accuracy 0.825   precision 0.6248233486943164   recall 0.6076291390728477
deviation 3/5   iterations 940/2000   F1 0.6277180810559269   accuracy 0.8352272727272727   precision 0.6347465437788018   recall 0.6219471506739624
deviation 3/5   iterations 950/2000   F1 0.6408210556806362   accuracy 0.8590909090909091   precision 0.6318279569892473   recall 0.6523814258725266
deviation 3/5   iterations 960/2000   F1 0.6077799615512668   accuracy 0.8113636363636364   precision 0.6253149001536098   recall 0.5978656225107727
deviation 3/5   iterations 970/2000   F1 0.614602707729573   accuracy 0.8159090909090909   precision 0.6320122887864823   recall 0.6042971290983408
deviation 3/5   iterations 980/2000   F1 0.6176735069160276   accuracy 0.8534090909090909   precision 0.6080184331797235   recall 0.6314608758076095
deviation 3/5   iterations 990/2000   F1 0.6358664363845712   accuracy 0.8431818181818181   precision 0.63926267281106   recall 0.6327628018135171
deviation 3/5   iterations 1000/2000   F1 0.6010044642857143   accuracy 0.8227272727272728   precision 0.6070660522273426   recall 0.5962079969964332
deviation 3/5   iterations 1010/2000   F1 0.6220512820512821   accuracy 0.8477272727272728   precision 0.6171428571428572   recall 0.6278243379148508
deviation 3/5   iterations 1020/2000   F1 0.6010044642857143   accuracy 0.8227272727272728   precision 0.6070660522273426   recall 0.5962079969964332
deviation 3/5   iterations 1030/2000   F1 0.6175625082491252   accuracy 0.8465909090909091   precision 0.6123809523809525   recall 0.6237751069243679
deviation 3/5   iterations 1040/2000   F1 0.6226755732081602   accuracy 0.8272727272727273   precision 0.6343471582181259   recall 0.6143196243895808
deviation 3/5   iterations 1050/2000   F1 0.6106912442396313   accuracy 0.8363636363636363   precision 0.6106912442396313   recall 0.6106912442396313
deviation 3/5   iterations 1060/2000   F1 0.6333238503294625   accuracy 0.8352272727272727   precision 0.6429800307219662   recall 0.6258164280461957
deviation 3/5   iterations 1070/2000   F1 0.6236010494444613   accuracy 0.8556818181818182   precision 0.6134254992319509   recall 0.638041397463508
deviation 3/5   iterations 1080/2000   F1 0.6136558442915978   accuracy 0.8329545454545455   precision 0.6169892473118279   recall 0.6106770833333333
deviation 3/5   iterations 1090/2000   F1 0.6311333714764762   accuracy 0.8443181818181819   precision 0.6316743471582181   recall 0.6306006533079811
deviation 3/5   iterations 1100/2000   F1 0.6160983102918587   accuracy 0.8386363636363636   precision 0.6160983102918587   recall 0.6160983102918587
deviation 3/5   iterations 1110/2000   F1 0.6353176344400566   accuracy 0.8454545454545455   precision 0.6364362519201229   recall 0.6342324479210746
deviation 3/5   iterations 1120/2000   F1 0.6395564837142759   accuracy 0.8386363636363636   precision 0.6490322580645161   recall 0.6320517427236795
deviation 3/5   iterations 1130/2000   F1 0.6109515429308127   accuracy 0.8238636363636364   precision 0.6200614439324117   recall 0.6042200034135518
deviation 3/5   iterations 1140/2000   F1 0.6280837490243986   accuracy 0.8443181818181819   precision 0.6275576036866359   recall 0.6286181601903251
deviation 3/5   iterations 1150/2000   F1 0.6208821192306587   accuracy 0.8465909090909091   precision 0.6164976958525346   recall 0.6259566326530612
deviation 3/5   iterations 1160/2000   F1 0.6200504185295059   accuracy 0.8590909090909091   precision 0.6071274961597543   recall 0.6409891478384628
deviation 3/5   iterations 1170/2000   F1 0.6109515429308127   accuracy 0.8238636363636364   precision 0.6200614439324117   recall 0.6042200034135518
deviation 3/5   iterations 1180/2000   F1 0.5718993143413118   accuracy 0.8193181818181818   precision 0.5721966205837173   recall 0.5716079177026961
deviation 3/5   iterations 1190/2000   F1 0.6219023998530279   accuracy 0.8352272727272727   precision 0.6265130568356375   recall 0.6178942787778847
deviation 3/5   iterations 1200/2000   F1 0.6268072446369852   accuracy 0.8522727272727273   precision 0.6197235023041474   recall 0.6356913048928258
deviation 3/5   iterations 1210/2000   F1 0.611745964387594   accuracy 0.8511363636363637   precision 0.6026113671274962   recall 0.624880354151711
deviation 3/5   iterations 1220/2000   F1 0.6253129805920259   accuracy 0.8477272727272728   precision 0.6212596006144393   recall 0.6299192900685968
deviation 3/5   iterations 1230/2000   F1 0.6192287065477061   accuracy 0.8386363636363636   precision 0.6202150537634409   recall 0.6182732647410865
deviation 3/5   iterations 1240/2000   F1 0.6203635429064464   accuracy 0.8397727272727272   precision 0.6208602150537634   recall 0.6198747013797474
deviation 3/5   iterations 1250/2000   F1 0.6348962773515203   accuracy 0.8340909090909091   precision 0.6464516129032258   recall 0.6262781456953642
deviation 3/5   iterations 1260/2000   F1 0.6187445844401198   accuracy 0.8613636363636363   precision 0.6043010752688172   recall 0.644073263057833
deviation 3/5   iterations 1270/2000   F1 0.6389426176660219   accuracy 0.8488636363636364   precision 0.6383717357910906   recall 0.6395222045995241
deviation 3/5   iterations 1280/2000   F1 0.6149853341307009   accuracy 0.8079545454545455   precision 0.6398463901689708   recall 0.6028412377096588
deviation 3/5   iterations 1290/2000   F1 0.6095709801185909   accuracy 0.8193181818181818   precision 0.6215975422427036   recall 0.6014871794871794
deviation 3/5   iterations 1300/2000   F1 0.6237069318993896   accuracy 0.8340909090909091   precision 0.629984639016897   recall 0.6184875267444074
deviation 3/5   iterations 1310/2000   F1 0.601861607043987   accuracy 0.8375   precision 0.5989861751152074   recall 0.6051072602954225
deviation 3/5   iterations 1320/2000   F1 0.6299546584759397   accuracy 0.8431818181818181   precision 0.6310291858678956   recall 0.6289127201944119
deviation 3/5   iterations 1330/2000   F1 0.5970797656602073   accuracy 0.8556818181818182   precision 0.5846082949308756   recall 0.6214285714285714
deviation 3/5   iterations 1340/2000   F1 0.6164823461948062   accuracy 0.8488636363636364   precision 0.6095545314900154   recall 0.6253867791842476
deviation 3/5   iterations 1350/2000   F1 0.606640539725771   accuracy 0.8534090909090909   precision 0.5956682027649769   recall 0.6244484941492423
deviation 3/5   iterations 1360/2000   F1 0.6107599403968317   accuracy 0.8397727272727272   precision 0.608509984639017   recall 0.6132051282051282
deviation 3/5   iterations 1370/2000   F1 0.620646999287776   accuracy 0.8431818181818181   precision 0.618678955453149   recall 0.6227455864970323
deviation 3/5   iterations 1380/2000   F1 0.6249363285757352   accuracy 0.8602272727272727   precision 0.611889400921659   recall 0.6455495875695377
deviation 3/5   iterations 1390/2000   F1 0.62977267711322   accuracy 0.8613636363636363   precision 0.6166513056835637   recall 0.6500102719701639
deviation 3/5   iterations 1400/2000   F1 0.6304487807609396   accuracy 0.8465909090909091   precision 0.628847926267281   recall 0.632126115227582
deviation 3/5   iterations 1410/2000   F1 0.6174482350160905   accuracy 0.8306818181818182   precision 0.6239324116743472   recall 0.6121602384447706
deviation 3/5   iterations 1420/2000   F1 0.6080358400073564   accuracy 0.8238636363636364   precision 0.6159447004608295   recall 0.6020264717332064
deviation 3/5   iterations 1430/2000   F1 0.6333238503294625   accuracy 0.8352272727272727   precision 0.6429800307219662   recall 0.6258164280461957
deviation 3/5   iterations 1440/2000   F1 0.6200042517006803   accuracy 0.8522727272727273   precision 0.6114900153609831   recall 0.631502659767216
deviation 3/5   iterations 1450/2000   F1 0.5907345651194231   accuracy 0.8534090909090909   precision 0.5792012288786482   recall 0.613668430335097
deviation 3/5   iterations 1460/2000   F1 0.6285199485199485   accuracy 0.8602272727272727   precision 0.6160061443932412   recall 0.6475
deviation 3/5   iterations 1470/2000   F1 0.5988813176965033   accuracy 0.865909090909091   precision 0.5821812596006144   recall 0.6425571827503145
deviation 3/5   iterations 1480/2000   F1 0.6200504185295059   accuracy 0.8590909090909091   precision 0.6071274961597543   recall 0.6409891478384628
deviation 3/5   iterations 1490/2000   F1 0.6453115820251123   accuracy 0.865909090909091   precision 0.6315821812596006   recall 0.6654460050371607
deviation 3/5   iterations 1500/2000   F1 0.5908940452768717   accuracy 0.8579545454545454   precision 0.5776651305683563   recall 0.6210171568627452
deviation 3/5   iterations 1510/2000   F1 0.5958267032911677   accuracy 0.8238636363636364   precision 0.5994777265745008   recall 0.5927007466446796
deviation 3/5   iterations 1520/2000   F1 0.5913104760791267   accuracy 0.8375   precision 0.5866359447004608   recall 0.5972467446479806
deviation 3/5   iterations 1530/2000   F1 0.6105667193497404   accuracy 0.8329545454545455   precision 0.6128725038402458   recall 0.6084415584415584
deviation 3/5   iterations 1540/2000   F1 0.5934389714813715   accuracy 0.8284090909090909   precision 0.5938248847926267   recall 0.5930598215591634
deviation 3/5   iterations 1550/2000   F1 0.5977028754100221   accuracy 0.8443181818181819   precision 0.5905069124423963   recall 0.6078583562767266
deviation 3/5   iterations 1560/2000   F1 0.6163504464285715   accuracy 0.8295454545454546   precision 0.6232872503840245   recall 0.6107841296834109
deviation 3/5   iterations 1570/2000   F1 0.6241686104333231   accuracy 0.8375   precision 0.6278033794162826   recall 0.6209077380952381
deviation 3/5   iterations 1580/2000   F1 0.6041533905611576   accuracy 0.8363636363636363   precision 0.602457757296467   recall 0.6059685557772722
deviation 3/5   iterations 1590/2000   F1 0.609479946267511   accuracy 0.8318181818181818   precision 0.6122273425499232   recall 0.6069893039984067
deviation 3/5   iterations 1600/2000   F1 0.589085593633263   accuracy 0.8431818181818181   precision 0.5816282642089093   recall 0.6004142038669106
deviation 3/5   iterations 1610/2000   F1 0.618822144555287   accuracy 0.8511363636363637   precision 0.6108448540706605   recall 0.6294191919191919
deviation 3/5   iterations 1620/2000   F1 0.5958891369047619   accuracy 0.8204545454545454   precision 0.6016589861751152   recall 0.5913492861007741
deviation 3/5   iterations 1630/2000   F1 0.5896103896103897   accuracy 0.8204545454545454   precision 0.5934254992319509   recall 0.5864165956237568
deviation 3/5   iterations 1640/2000   F1 0.611306047017834   accuracy 0.8579545454545454   precision 0.5982488479262673   recall 0.6340453356582388
deviation 3/5   iterations 1650/2000   F1 0.6121667741148274   accuracy 0.8625   precision 0.5967127496159754   recall 0.642531150391191
deviation 3/5   iterations 1660/2000   F1 0.5832811041936516   accuracy 0.8454545454545455   precision 0.5746850998463902   recall 0.5982921188400641
deviation 3/5   iterations 1670/2000   F1 0.6021091208256983   accuracy 0.8488636363636364   precision 0.5930875576036867   recall 0.6157619658903356
deviation 3/5   iterations 1680/2000   F1 0.6041385515069726   accuracy 0.8261363636363637   precision 0.6090015360983103   recall 0.6000857555515436
deviation 3/5   iterations 1690/2000   F1 0.6117954460619635   accuracy 0.8375   precision 0.6113364055299539   recall 0.6122620935765266
deviation 3/5   iterations 1700/2000   F1 0.5876464323748668   accuracy 0.8375   precision 0.5825192012288787   recall 0.5944444444444444
deviation 3/5   iterations 1710/2000   F1 0.6103989703989704   accuracy 0.8534090909090909   precision 0.5997849462365591   recall 0.6268750000000001
deviation 3/5   iterations 1720/2000   F1 0.5944433471591284   accuracy 0.8488636363636364   precision 0.5848540706605223   recall 0.610381098535712
deviation 3/5   iterations 1730/2000   F1 0.6103989703989704   accuracy 0.8534090909090909   precision 0.5997849462365591   recall 0.6268750000000001
deviation 3/5   iterations 1740/2000   F1 0.5944700460829493   accuracy 0.8295454545454546   precision 0.5944700460829493   recall 0.5944700460829493
deviation 3/5   iterations 1750/2000   F1 0.6117954460619635   accuracy 0.8375   precision 0.6113364055299539   recall 0.6122620935765266
deviation 3/5   iterations 1760/2000   F1 0.5952416956499824   accuracy 0.8340909090909091   precision 0.5929339477726574   recall 0.5978090766823161
deviation 3/5   iterations 1770/2000   F1 0.6083120748299319   accuracy 0.8477272727272728   precision 0.6006758832565284   recall 0.6187473728457334
deviation 3/5   iterations 1780/2000   F1 0.6039381153305203   accuracy 0.8545454545454545   precision 0.5921966205837174   recall 0.6242650103519669
deviation 3/5   iterations 1790/2000   F1 0.6232282488676566   accuracy 0.8488636363636364   precision 0.6177880184331797   recall 0.6297303881760598
deviation 3/5   iterations 1800/2000   F1 0.5872875744868682   accuracy 0.8454545454545455   precision 0.5788018433179724   recall 0.6013369364244062
deviation 3/5   iterations 1810/2000   F1 0.5970797656602073   accuracy 0.8556818181818182   precision 0.5846082949308756   recall 0.6214285714285714
deviation 3/5   iterations 1820/2000   F1 0.6187445844401198   accuracy 0.8613636363636363   precision 0.6043010752688172   recall 0.644073263057833
deviation 3/5   iterations 1830/2000   F1 0.6044731110095232   accuracy 0.8670454545454546   precision 0.5869431643625191   recall 0.6483975165701821
deviation 3/5   iterations 1840/2000   F1 0.6173413923555247   accuracy 0.8636363636363636   precision 0.6014746543778802   recall 0.64756339462821
deviation 3/5   iterations 1850/2000   F1 0.610126582278481   accuracy 0.8568181818181818   precision 0.5976036866359447   recall 0.6315527950310559
deviation 3/5   iterations 1860/2000   F1 0.5874941405417691   accuracy 0.85   precision 0.5772657450076805   recall 0.6067287942829013
deviation 3/5   iterations 1870/2000   F1 0.6258503401360545   accuracy 0.8545454545454545   precision 0.6168970814132104   recall 0.6378803032279572
deviation 3/5   iterations 1880/2000   F1 0.6151141186638163   accuracy 0.8579545454545454   precision 0.6023655913978495   recall 0.6363249541764859
deviation 3/5   iterations 1890/2000   F1 0.6249739478833238   accuracy 0.8443181818181819   precision 0.6234408602150537   recall 0.6265814809214174
deviation 3/5   iterations 1900/2000   F1 0.5937442293214392   accuracy 0.8522727272727273   precision 0.5826728110599079   recall 0.6141976880378877
deviation 3/5   iterations 1910/2000   F1 0.6152532415187659   accuracy 0.8545454545454545   precision 0.604546850998464   recall 0.6314528963673728
deviation 3/5   iterations 1920/2000   F1 0.5982084619733008   accuracy 0.8568181818181818   precision 0.5852534562211982   recall 0.6239746957593952
deviation 3/5   iterations 1930/2000   F1 0.6077939804175545   accuracy 0.8545454545454545   precision 0.5963133640552996   recall 0.6267568048389967
deviation 3/5   iterations 1940/2000   F1 0.5781650740555425   accuracy 0.8443181818181819   precision 0.5699231950844854   recall 0.5931199266823777
deviation 3/5   iterations 1950/2000   F1 0.5948478002505434   accuracy 0.8534090909090909   precision 0.5833179723502304   recall 0.616542904290429
deviation 3/5   iterations 1960/2000   F1 0.5890629800307221   accuracy 0.8272727272727273   precision 0.589062980030722   recall 0.589062980030722
deviation 3/5   iterations 1970/2000   F1 0.6020023790642347   accuracy 0.8340909090909091   precision 0.6011674347158218   recall 0.6028663892741563
deviation 3/5   iterations 1980/2000   F1 0.6268072446369852   accuracy 0.8522727272727273   precision 0.6197235023041474   recall 0.6356913048928258
deviation 3/5   iterations 1990/2000   F1 0.5977768026912389   accuracy 0.8295454545454546   precision 0.5985867895545315   recall 0.5969943538344356
deviation 3/5   iterations 2000/2000   F1 0.6027423508741162   accuracy 0.8420454545454545   precision 0.5974500768049156   recall 0.6093853453983669

deviation 4/5   iterations 10/2000   F1 0.4763079837483486   accuracy 0.5659090909090909   precision 0.5971121351766513   recall 0.5409967887361938
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deviation 4/5   iterations 20/2000   F1 0.4664794664794665   accuracy 0.5465909090909091   precision 0.5984946236559139   recall 0.5414074931288876
deviation 4/5   iterations 30/2000   F1 0.24753341069116241   accuracy 0.24886363636363637   precision 0.5159139784946236   recall 0.512357341883278
deviation 4/5   iterations 40/2000   F1 0.5636918382913806   accuracy 0.7045454545454546   precision 0.6470046082949308   recall 0.571900826446281
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deviation 4/5   iterations 50/2000   F1 0.5609822627071803   accuracy 0.6840909090909091   precision 0.6683256528417819   recall 0.577633062984941
deviation 4/5   iterations 60/2000   F1 0.535143151498448   accuracy 0.634090909090909   precision 0.6728725038402458   recall 0.5746052959551122
deviation 4/5   iterations 70/2000   F1 0.5338232241458047   accuracy 0.6375   precision 0.6624577572964669   recall 0.5706196581196581
deviation 4/5   iterations 80/2000   F1 0.5437033734129859   accuracy 0.6511363636363636   precision 0.670199692780338   recall 0.5748098695013395
deviation 4/5   iterations 90/2000   F1 0.5845207824934442   accuracy 0.7170454545454545   precision 0.6829185867895545   recall 0.5889421353282822
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deviation 4/5   iterations 100/2000   F1 0.5860479337676694   accuracy 0.7272727272727273   precision 0.672258064516129   recall 0.5867639685811376
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deviation 4/5   iterations 110/2000   F1 0.5613798924551229   accuracy 0.6886363636363636   precision 0.6626728110599078   recall 0.5759557950183327
deviation 4/5   iterations 120/2000   F1 0.541222688623399   accuracy 0.6477272727272727   precision 0.6682642089093702   recall 0.5737428572967325
deviation 4/5   iterations 130/2000   F1 0.5268657746449487   accuracy 0.6193181818181818   precision 0.6727188940092166   recall 0.5737083342073798
deviation 4/5   iterations 140/2000   F1 0.5480225988700564   accuracy 0.65   precision 0.6860215053763441   recall 0.5810744948074833
deviation 4/5   iterations 150/2000   F1 0.5484848484848486   accuracy 0.6613636363636364   precision 0.6677726574500769   recall 0.5747774887032726
deviation 4/5   iterations 160/2000   F1 0.5355487253897524   accuracy 0.6329545454545454   precision 0.6763440860215053   recall 0.5759355685378037
deviation 4/5   iterations 170/2000   F1 0.5488123267062895   accuracy 0.6545454545454545   precision 0.6803686635944701   recall 0.5792012691629028
deviation 4/5   iterations 180/2000   F1 0.6094130259983919   accuracy 0.7647727272727273   precision 0.6770814132104455   recall 0.5992424242424242
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deviation 4/5   iterations 190/2000   F1 0.549598785512904   accuracy 0.6647727272727273   precision 0.6655913978494623   recall 0.5742424242424242
deviation 4/5   iterations 200/2000   F1 0.5962791585966093   accuracy 0.7488636363636364   precision 0.6680491551459293   recall 0.5904646608980975
deviation 4/5   iterations 210/2000   F1 0.5644310446390428   accuracy 0.7011363636363637   precision 0.6533026113671275   recall 0.5739759007566594
deviation 4/5   iterations 220/2000   F1 0.5417609170088424   accuracy 0.6431818181818182   precision 0.6780337941628264   recall 0.5773248149274921
deviation 4/5   iterations 230/2000   F1 0.5412557082386305   accuracy 0.6590909090909091   precision 0.650015360983103   recall 0.5673409495859972
deviation 4/5   iterations 240/2000   F1 0.5733381071726937   accuracy 0.7045454545454546   precision 0.671705069124424   recall 0.5820989359014284
deviation 4/5   iterations 250/2000   F1 0.5607007868400409   accuracy 0.6897727272727273   precision 0.6592012288786482   recall 0.5746961415161789
deviation 4/5   iterations 260/2000   F1 0.564581499079538   accuracy 0.6909090909090909   precision 0.6680798771121352   recall 0.5784804824448154
deviation 4/5   iterations 270/2000   F1 0.600932400932401   accuracy 0.7568181818181818   precision 0.6684485407066052   recall 0.593011026293469
deviation 4/5   iterations 280/2000   F1 0.5367581436858545   accuracy 0.6568181818181819   precision 0.6404915514592935   recall 0.5632220139246036
deviation 4/5   iterations 290/2000   F1 0.509121335454414   accuracy 0.6011363636363637   precision 0.6459293394777266   recall 0.562015625326398
deviation 4/5   iterations 300/2000   F1 0.5287888463175819   accuracy 0.634090909090909   precision 0.6522887864823349   recall 0.5662562353305995
deviation 4/5   iterations 310/2000   F1 0.5371767436486821   accuracy 0.6534090909090909   precision 0.64678955453149   recall 0.56550086639907
deviation 4/5   iterations 320/2000   F1 0.5696687376650905   accuracy 0.7147727272727272   precision 0.648694316436252   recall 0.5744047619047619
deviation 4/5   iterations 330/2000   F1 0.5412191516997358   accuracy 0.6693181818181818   precision 0.6352380952380953   recall 0.5622807017543859
deviation 4/5   iterations 340/2000   F1 0.5536653542123772   accuracy 0.6931818181818182   precision 0.6364362519201229   recall 0.5657143195364336
deviation 4/5   iterations 350/2000   F1 0.5932225002789422   accuracy 0.7693181818181818   precision 0.6384946236559139   recall 0.5840643274853801
deviation 4/5   iterations 360/2000   F1 0.5677409653651446   accuracy 0.7215909090909091   precision 0.6360983102918587   recall 0.5703174603174603
deviation 4/5   iterations 370/2000   F1 0.5944596108814703   accuracy 0.7761363636363636   precision 0.6341321044546852   recall 0.5845573425056552
deviation 4/5   iterations 380/2000   F1 0.5869150104396993   accuracy 0.7488636363636364   precision 0.6474654377880185   recall 0.581663763066202
deviation 4/5   iterations 390/2000   F1 0.5552160258042611   accuracy 0.7022727272727273   precision 0.629247311827957   recall 0.5639910196581872
deviation 4/5   iterations 400/2000   F1 0.557813446338262   accuracy 0.7011363636363637   precision 0.6368356374807989   recall 0.5670605381706054
deviation 4/5   iterations 410/2000   F1 0.5592870820444837   accuracy 0.7102272727272727   precision 0.6296466973886329   recall 0.5654466501240695
deviation 4/5   iterations 420/2000   F1 0.5685103463659875   accuracy 0.7352272727272727   precision 0.6232565284178186   recall 0.5674712086965881
deviation 4/5   iterations 430/2000   F1 0.5702316495383712   accuracy 0.7375   precision 0.624546850998464   recall 0.5685705393629401
deviation 4/5   iterations 440/2000   F1 0.5552799026026234   accuracy 0.7   precision 0.632073732718894   recall 0.5648568894038416
deviation 4/5   iterations 450/2000   F1 0.5574933298626927   accuracy 0.7102272727272727   precision 0.6255299539170507   recall 0.5636543782247813
deviation 4/5   iterations 460/2000   F1 0.5812126139853304   accuracy 0.7465909090909091   precision 0.637941628264209   recall 0.5768435608861141
deviation 4/5   iterations 470/2000   F1 0.5951225805823399   accuracy 0.7852272727272728   precision 0.6269431643625192   recall 0.5848278806989884
deviation 4/5   iterations 480/2000   F1 0.5936754619118593   accuracy 0.7806818181818181   precision 0.6284792626728111   recall 0.5836694516469797
deviation 4/5   iterations 490/2000   F1 0.587950678944904   accuracy 0.7681818181818182   precision 0.6296159754224271   recall 0.5795491398360372
deviation 4/5   iterations 500/2000   F1 0.5714327781439776   accuracy 0.7556818181818182   precision 0.6101689708141321   recall 0.5663897034864777
deviation 4/5   iterations 510/2000   F1 0.5500604257692665   accuracy 0.7   precision 0.6197235023041474   recall 0.5595249005627142
deviation 4/5   iterations 520/2000   F1 0.5791028427409861   accuracy 0.7806818181818181   precision 0.603778801843318   recall 0.5712513921231143
deviation 4/5   iterations 530/2000   F1 0.5969311805794114   accuracy 0.7818181818181819   precision 0.6332411674347158   recall 0.5864088811673667
deviation 4/5   iterations 540/2000   F1 0.5854813806819669   accuracy 0.7545454545454545   precision 0.6383410138248848   recall 0.5792385497392148
deviation 4/5   iterations 550/2000   F1 0.5886038963957889   accuracy 0.7636363636363637   precision 0.6352688172043011   recall 0.5806534338616197
deviation 4/5   iterations 560/2000   F1 0.5666859596230098   accuracy 0.740909090909091   precision 0.6141321044546851   recall 0.5645543577232381
deviation 4/5   iterations 570/2000   F1 0.5677409653651446   accuracy 0.7215909090909091   precision 0.6360983102918587   recall 0.5703174603174603
deviation 4/5   iterations 580/2000   F1 0.5993264632585708   accuracy 0.8079545454545455   precision 0.6151459293394778   recall 0.5904440154440155
deviation 4/5   iterations 590/2000   F1 0.5858681794457136   accuracy 0.75   precision 0.6439938556067588   recall 0.5804557845082704
deviation 4/5   iterations 600/2000   F1 0.572307161220578   accuracy 0.7568181818181818   precision 0.6108141321044547   recall 0.5670191971817378
deviation 4/5   iterations 610/2000   F1 0.5804690503652442   accuracy 0.7534090909090909   precision 0.6294623655913978   recall 0.5748756218905473
deviation 4/5   iterations 620/2000   F1 0.5889003083247688   accuracy 0.8125   precision 0.5971428571428572   recall 0.5832070228621953
deviation 4/5   iterations 630/2000   F1 0.6015857065559469   accuracy 0.8136363636363636   precision 0.6142549923195084   recall 0.593582349447917
deviation 4/5   iterations 640/2000   F1 0.590017825311943   accuracy 0.7909090909090909   precision 0.6137019969278034   recall 0.580709880581652
deviation 4/5   iterations 650/2000   F1 0.5389686460842167   accuracy 0.6727272727272727   precision 0.6248233486943164   recall 0.5582829830329529
deviation 4/5   iterations 660/2000   F1 0.5487179487179488   accuracy 0.6886363636363636   precision 0.6297388632872505   recall 0.5622585876455846
deviation 4/5   iterations 670/2000   F1 0.5556778783420686   accuracy 0.7102272727272727   precision 0.6214132104454685   recall 0.5618489583333333
deviation 4/5   iterations 680/2000   F1 0.5913661373000718   accuracy 0.7670454545454546   precision 0.6372043010752688   recall 0.5826816552623004
deviation 4/5   iterations 690/2000   F1 0.5452232401854114   accuracy 0.7034090909090909   precision 0.6051920122887865   recall 0.5535857371794872
deviation 4/5   iterations 700/2000   F1 0.5892148401831683   accuracy 0.7670454545454546   precision 0.6330875576036866   recall 0.58078231292517
deviation 4/5   iterations 710/2000   F1 0.5941965336052074   accuracy 0.8329545454545455   precision 0.592288786482335   recall 0.5962820512820513
deviation 4/5   iterations 720/2000   F1 0.5989431297665886   accuracy 0.8204545454545454   precision 0.6057757296466973   recall 0.593723799257396
deviation 4/5   iterations 730/2000   F1 0.5847037383923969   accuracy 0.7784090909090909   precision 0.6148387096774194   recall 0.5760720914330371
deviation 4/5   iterations 740/2000   F1 0.6005710843174634   accuracy 0.8125   precision 0.6136098310291859   recall 0.5924832939858349
deviation 4/5   iterations 750/2000   F1 0.5937488902668548   accuracy 0.8079545454545455   precision 0.6069124423963134   recall 0.5859819734345351
deviation 4/5   iterations 760/2000   F1 0.6020454308275646   accuracy 0.8079545454545455   precision 0.61926267281106   recall 0.5926084965075002
deviation 4/5   iterations 770/2000   F1 0.6073492643079108   accuracy 0.8079545454545455   precision 0.6274961597542242   recall 0.596814228658878
deviation 4/5   iterations 780/2000   F1 0.5876597818345392   accuracy 0.8295454545454546   precision 0.5862365591397849   recall 0.5891915250575122
deviation 4/5   iterations 790/2000   F1 0.61367781231264   accuracy 0.8011363636363636   precision 0.6442089093701997   recall 0.600888957667045
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deviation 4/5   iterations 800/2000   F1 0.6017886905514755   accuracy 0.8170454545454545   precision 0.6120737327188941   recall 0.5947473404255319
deviation 4/5   iterations 810/2000   F1 0.5460317460317461   accuracy 0.7045454545454546   precision 0.605837173579109   recall 0.5540392156862746
deviation 4/5   iterations 820/2000   F1 0.5774344708823871   accuracy 0.7693181818181818   precision 0.6096774193548387   recall 0.5702556755565351
deviation 4/5   iterations 830/2000   F1 0.604202648244099   accuracy 0.8295454545454546   precision 0.6068202764976959   recall 0.6018346044353847
deviation 4/5   iterations 840/2000   F1 0.5869929601072745   accuracy 0.8409090909090909   precision 0.5803379416282642   recall 0.5967443581206068
deviation 4/5   iterations 850/2000   F1 0.590887959088796   accuracy 0.8079545454545455   precision 0.6027956989247312   recall 0.5836801248449441
deviation 4/5   iterations 860/2000   F1 0.5834841439986636   accuracy 0.7681818181818182   precision 0.6213824884792627   recall 0.5756322789607884
deviation 4/5   iterations 870/2000   F1 0.6125055041831792   accuracy 0.8136363636363636   precision 0.6307219662058372   recall 0.6020883117880209
deviation 4/5   iterations 880/2000   F1 0.5761221449294843   accuracy 0.8045454545454546   precision 0.5843932411674347   recall 0.5708873956172132
deviation 4/5   iterations 890/2000   F1 0.5993264632585708   accuracy 0.8079545454545455   precision 0.6151459293394778   recall 0.5904440154440155
deviation 4/5   iterations 900/2000   F1 0.5927787345212573   accuracy 0.8204545454545454   precision 0.5975422427035331   recall 0.5889146531348366
deviation 4/5   iterations 910/2000   F1 0.5973512627257591   accuracy 0.8363636363636363   precision 0.5942242703533026   recall 0.600953246171874
deviation 4/5   iterations 920/2000   F1 0.5913945209719857   accuracy 0.8261363636363637   precision 0.5925345622119815   recall 0.5903137593552101
deviation 4/5   iterations 930/2000   F1 0.5841591563516697   accuracy 0.8420454545454545   precision 0.5768663594470046   recall 0.5955895837153861
deviation 4/5   iterations 940/2000   F1 0.5984158744443274   accuracy 0.8375   precision 0.5948694316436252   recall 0.6025722789115646
deviation 4/5   iterations 950/2000   F1 0.585979769466008   accuracy 0.8090909090909091   precision 0.5952073732718894   recall 0.579970891524479
deviation 4/5   iterations 960/2000   F1 0.5997113906578411   accuracy 0.8022727272727272   precision 0.6201536098310292   recall 0.5897685435966177
deviation 4/5   iterations 970/2000   F1 0.5840259308510638   accuracy 0.7931818181818182   precision 0.602642089093702   recall 0.5758773244669737
deviation 4/5   iterations 980/2000   F1 0.5958373940025317   accuracy 0.8136363636363636   precision 0.606021505376344   recall 0.5890543874317448
deviation 4/5   iterations 990/2000   F1 0.6020895060626613   accuracy 0.8272727272727273   precision 0.6055299539170507   recall 0.5990815843823194
deviation 4/5   iterations 1000/2000   F1 0.5989431297665886   accuracy 0.8204545454545454   precision 0.6057757296466973   recall 0.593723799257396
deviation 4/5   iterations 1010/2000   F1 0.5970264134766216   accuracy 0.8397727272727272   precision 0.5920430107526882   recall 0.6033160450231737
deviation 4/5   iterations 1020/2000   F1 0.5792694587875311   accuracy 0.7840909090909091   precision 0.6015975422427036   recall 0.5714199327914029
deviation 4/5   iterations 1030/2000   F1 0.6061197916666666   accuracy 0.825   precision 0.6124731182795699   recall 0.6010667078920925
deviation 4/5   iterations 1040/2000   F1 0.6013636168249947   accuracy 0.8443181818181819   precision 0.5946236559139785   recall 0.610479797979798
deviation 4/5   iterations 1050/2000   F1 0.5927993132477446   accuracy 0.8352272727272727   precision 0.5894623655913979   recall 0.5967261904761905
deviation 4/5   iterations 1060/2000   F1 0.590887959088796   accuracy 0.8079545454545455   precision 0.6027956989247312   recall 0.5836801248449441
deviation 4/5   iterations 1070/2000   F1 0.5967357690638553   accuracy 0.8284090909090909   precision 0.5979416282642089   recall 0.5955910573786222
deviation 4/5   iterations 1080/2000   F1 0.5749818884327458   accuracy 0.8272727272727273   precision 0.5725960061443932   recall 0.5777804110544956
deviation 4/5   iterations 1090/2000   F1 0.5876047097416671   accuracy 0.8545454545454545   precision 0.5757296466973886   recall 0.6131335940225074
deviation 4/5   iterations 1100/2000   F1 0.5984158744443274   accuracy 0.8375   precision 0.5948694316436252   recall 0.6025722789115646
deviation 4/5   iterations 1110/2000   F1 0.5812048338601283   accuracy 0.803409090909091   precision 0.5919815668202765   recall 0.5748769557040535
deviation 4/5   iterations 1120/2000   F1 0.5926303120081474   accuracy 0.8238636363636364   precision 0.5953609831029186   recall 0.5902157738095238
deviation 4/5   iterations 1130/2000   F1 0.6007662062707935   accuracy 0.8159090909090909   precision 0.6114285714285714   recall 0.5935961353853776
deviation 4/5   iterations 1140/2000   F1 0.5988238857663865   accuracy 0.8306818181818182   precision 0.599231950844854   recall 0.5984227975232802
deviation 4/5   iterations 1150/2000   F1 0.5822461545924855   accuracy 0.8443181818181819   precision 0.5740399385560676   recall 0.5963137029221818
deviation 4/5   iterations 1160/2000   F1 0.564750786229551   accuracy 0.8193181818181818   precision 0.5639631336405531   recall 0.5655905035536065
deviation 4/5   iterations 1170/2000   F1 0.6030746163728611   accuracy 0.8352272727272727   precision 0.6018125960061445   recall 0.6044029436967588
deviation 4/5   iterations 1180/2000   F1 0.5964084428092419   accuracy 0.7954545454545454   precision 0.6203993855606759   recall 0.586313220745126
deviation 4/5   iterations 1190/2000   F1 0.5878054317496717   accuracy 0.8147727272727273   precision 0.5943164362519202   recall 0.582994506682815
deviation 4/5   iterations 1200/2000   F1 0.5786077927314884   accuracy 0.8272727272727273   precision 0.5767127496159754   recall 0.58073694693413
deviation 4/5   iterations 1210/2000   F1 0.5790755315910772   accuracy 0.85   precision 0.5690322580645162   recall 0.6003859968905806
deviation 4/5   iterations 1220/2000   F1 0.610126582278481   accuracy 0.8568181818181818   precision 0.5976036866359447   recall 0.6315527950310559
deviation 4/5   iterations 1230/2000   F1 0.5727143129051931   accuracy 0.8579545454545454   precision 0.5611981566820277   recall 0.6079230235783634
deviation 4/5   iterations 1240/2000   F1 0.5948995457749993   accuracy 0.8375   precision 0.590752688172043   recall 0.5999539819176005
deviation 4/5   iterations 1250/2000   F1 0.5751344015867216   accuracy 0.8318181818181818   precision 0.5710599078341014   recall 0.5805373333890445
deviation 4/5   iterations 1260/2000   F1 0.5811468484870119   accuracy 0.8181818181818182   precision 0.5839016897081413   recall 0.5787749074084757
deviation 4/5   iterations 1270/2000   F1 0.5761475583091641   accuracy 0.8420454545454545   precision 0.5686328725038402   recall 0.5892800051154166
deviation 4/5   iterations 1280/2000   F1 0.5988678405224047   accuracy 0.8534090909090909   precision 0.5874347158218126   recall 0.6192911273556434
deviation 4/5   iterations 1290/2000   F1 0.5966395963596793   accuracy 0.8511363636363637   precision 0.5861443932411674   recall 0.6147224404294318
deviation 4/5   iterations 1300/2000   F1 0.5973512627257591   accuracy 0.8363636363636363   precision 0.5942242703533026   recall 0.600953246171874
deviation 4/5   iterations 1310/2000   F1 0.6085494492504767   accuracy 0.8375   precision 0.6072196620583717   recall 0.6099475780029235
deviation 4/5   iterations 1320/2000   F1 0.5658487258527847   accuracy 0.8397727272727272   precision 0.5591090629800307   recall 0.5787182508510081
deviation 4/5   iterations 1330/2000   F1 0.5894093232496275   accuracy 0.8477272727272728   precision 0.5800921658986176   recall 0.6054082903397973
deviation 4/5   iterations 1340/2000   F1 0.5927993132477446   accuracy 0.8352272727272727   precision 0.5894623655913979   recall 0.5967261904761905
deviation 4/5   iterations 1350/2000   F1 0.6130026353118562   accuracy 0.8488636363636364   precision 0.6054377880184332   recall 0.6231060606060606
deviation 4/5   iterations 1360/2000   F1 0.5905093536614696   accuracy 0.7977272727272727   precision 0.6093394777265745   recall 0.5816891451445569
deviation 4/5   iterations 1370/2000   F1 0.5863825128809244   accuracy 0.8204545454545454   precision 0.5893087557603687   recall 0.5838515766519367
deviation 4/5   iterations 1380/2000   F1 0.6129983453084908   accuracy 0.8420454545454545   precision 0.609800307219662   recall 0.6165901143065922
deviation 4/5   iterations 1390/2000   F1 0.5849277210884354   accuracy 0.8386363636363636   precision 0.579047619047619   recall 0.5932367990027685
deviation 4/5   iterations 1400/2000   F1 0.5863825128809244   accuracy 0.8204545454545454   precision 0.5893087557603687   recall 0.5838515766519367
deviation 4/5   iterations 1410/2000   F1 0.5791832329111503   accuracy 0.8409090909090909   precision 0.5721044546850999   recall 0.5906611659636274
deviation 4/5   iterations 1420/2000   F1 0.5923586826034761   accuracy 0.8386363636363636   precision 0.5872811059907834   recall 0.5989219905569716
deviation 4/5   iterations 1430/2000   F1 0.5760035118901036   accuracy 0.8465909090909091   precision 0.5670967741935484   recall 0.5938531353135313
deviation 4/5   iterations 1440/2000   F1 0.5688933137375749   accuracy 0.8590909090909091   precision 0.557726574500768   recall 0.6071730054071319
deviation 4/5   iterations 1450/2000   F1 0.5972182372149581   accuracy 0.8477272727272728   precision 0.588325652841782   recall 0.6110570311655001
deviation 4/5   iterations 1460/2000   F1 0.572192513368984   accuracy 0.8375   precision 0.5660522273425499   recall 0.5821413289320863
deviation 4/5   iterations 1470/2000   F1 0.5861665755792524   accuracy 0.8318181818181818   precision 0.5834101382488479   recall 0.5893668286131848
deviation 4/5   iterations 1480/2000   F1 0.5822461545924855   accuracy 0.8443181818181819   precision 0.5740399385560676   recall 0.5963137029221818
deviation 4/5   iterations 1490/2000   F1 0.5710246660817003   accuracy 0.8409090909090909   precision 0.5638709677419355   recall 0.5840597758405978
deviation 4/5   iterations 1500/2000   F1 0.5917589191525058   accuracy 0.8340909090909091   precision 0.5888172043010753   recall 0.5951600373925294
deviation 4/5   iterations 1510/2000   F1 0.5846482744579049   accuracy 0.8261363636363637   precision 0.5843010752688172   recall 0.585001982553529
deviation 4/5   iterations 1520/2000   F1 0.5820017931875736   accuracy 0.8079545454545455   precision 0.5904454685099847   recall 0.5764627659574468
deviation 4/5   iterations 1530/2000   F1 0.596293237911735   accuracy 0.8352272727272727   precision 0.5935791090629801   recall 0.5993658332898377
deviation 4/5   iterations 1540/2000   F1 0.5831303123815711   accuracy 0.8409090909090909   precision 0.576221198156682   recall 0.5937627549092228
deviation 4/5   iterations 1550/2000   F1 0.5955441075815641   accuracy 0.8420454545454545   precision 0.5892165898617512   recall 0.6041666666666666
deviation 4/5   iterations 1560/2000   F1 0.5907345651194231   accuracy 0.8534090909090909   precision 0.5792012288786482   recall 0.613668430335097
deviation 4/5   iterations 1570/2000   F1 0.6034249662009914   accuracy 0.8579545454545454   precision 0.5900153609831029   recall 0.6291887125220459
deviation 4/5   iterations 1580/2000   F1 0.5811468484870119   accuracy 0.8181818181818182   precision 0.5839016897081413   recall 0.5787749074084757
deviation 4/5   iterations 1590/2000   F1 0.6130934420717777   accuracy 0.8261363636363637   precision 0.6213517665130569   recall 0.6067844629958044
deviation 4/5   iterations 1600/2000   F1 0.6062569819159118   accuracy 0.8284090909090909   precision 0.6102918586789554   recall 0.6027781594979617
deviation 4/5   iterations 1610/2000   F1 0.6040324356409102   accuracy 0.8397727272727272   precision 0.6002764976958526   recall 0.6084183673469388
deviation 4/5   iterations 1620/2000   F1 0.5872875744868682   accuracy 0.8454545454545455   precision 0.5788018433179724   recall 0.6013369364244062
deviation 4/5   iterations 1630/2000   F1 0.613031725707782   accuracy 0.8454545454545455   precision 0.6076190476190476   recall 0.6196526895383312
deviation 4/5   iterations 1640/2000   F1 0.6107692307692307   accuracy 0.8431818181818181   precision 0.6063287250384024   recall 0.6160241367750587
deviation 4/5   iterations 1650/2000   F1 0.5994871794871794   accuracy 0.8386363636363636   precision 0.5955145929339478   recall 0.6042239356352666
deviation 4/5   iterations 1660/2000   F1 0.5933568748620613   accuracy 0.8477272727272728   precision 0.5842089093701996   recall 0.6082902700738002
deviation 4/5   iterations 1670/2000   F1 0.5890629800307221   accuracy 0.8272727272727273   precision 0.589062980030722   recall 0.589062980030722
deviation 4/5   iterations 1680/2000   F1 0.5912065691136889   accuracy 0.8454545454545455   precision 0.5829185867895545   recall 0.6042584094315425
deviation 4/5   iterations 1690/2000   F1 0.589085593633263   accuracy 0.8431818181818181   precision 0.5816282642089093   recall 0.6004142038669106
deviation 4/5   iterations 1700/2000   F1 0.5882051282051282   accuracy 0.8340909090909091   precision 0.584700460829493   recall 0.5924237344954744
deviation 4/5   iterations 1710/2000   F1 0.5662091918776411   accuracy 0.8352272727272727   precision 0.5606451612903226   recall 0.5754172015404364
deviation 4/5   iterations 1720/2000   F1 0.6002685942252242   accuracy 0.8431818181818181   precision 0.5939784946236559   recall 0.6086308044148354
deviation 4/5   iterations 1730/2000   F1 0.6019421922953598   accuracy 0.8204545454545454   precision 0.6098924731182795   recall 0.5960412840588115
deviation 4/5   iterations 1740/2000   F1 0.6016503058756579   accuracy 0.8409090909090909   precision 0.5968049155145929   recall 0.6076293533357926
deviation 4/5   iterations 1750/2000   F1 0.605284178187404   accuracy 0.8340909090909091   precision 0.605284178187404   recall 0.605284178187404
deviation 4/5   iterations 1760/2000   F1 0.6080358400073564   accuracy 0.8238636363636364   precision 0.6159447004608295   recall 0.6020264717332064
deviation 4/5   iterations 1770/2000   F1 0.604202648244099   accuracy 0.8295454545454546   precision 0.6068202764976959   recall 0.6018346044353847
deviation 4/5   iterations 1780/2000   F1 0.5917869088600796   accuracy 0.8056818181818182   precision 0.6056221198156682   recall 0.5839388257353803
deviation 4/5   iterations 1790/2000   F1 0.5979206358785141   accuracy 0.8193181818181818   precision 0.6051305683563748   recall 0.5925104892080106
deviation 4/5   iterations 1800/2000   F1 0.60093657742034   accuracy 0.8329545454545455   precision 0.6005222734254992   recall 0.6013580491673275
deviation 4/5   iterations 1810/2000   F1 0.6176340763628339   accuracy 0.8568181818181818   precision 0.605837173579109   recall 0.6361036046713759
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deviation 4/5   iterations 1820/2000   F1 0.5874999999999999   accuracy 0.8636363636363636   precision 0.5726574500768049   recall 0.6303030303030304
deviation 4/5   iterations 1830/2000   F1 0.633588640967953   accuracy 0.8647727272727272   precision 0.6185867895545315   recall 0.6579274679235402
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deviation 4/5   iterations 1840/2000   F1 0.6310349248590565   accuracy 0.8625   precision 0.6172964669738863   recall 0.6525832853763028
deviation 4/5   iterations 1850/2000   F1 0.5901424778430127   accuracy 0.8443181818181819   precision 0.5822734254992319   recall 0.6023137111070359
deviation 4/5   iterations 1860/2000   F1 0.5922779922779923   accuracy 0.8465909090909091   precision 0.5835637480798771   recall 0.60625
deviation 4/5   iterations 1870/2000   F1 0.6062444068807795   accuracy 0.8568181818181818   precision 0.5934869431643626   recall 0.6291354755478603
deviation 4/5   iterations 1880/2000   F1 0.6212722927651951   accuracy 0.8602272727272727   precision 0.6077726574500768   recall 0.6435257920921708
deviation 4/5   iterations 1890/2000   F1 0.6009961561366466   accuracy 0.8477272727272728   precision 0.592442396313364   recall 0.613717101782286
deviation 4/5   iterations 1900/2000   F1 0.5924138267271221   accuracy 0.8272727272727273   precision 0.5931797235023042   recall 0.5916746261077729
deviation 4/5   iterations 1910/2000   F1 0.6005652863935308   accuracy 0.8397727272727272   precision 0.5961597542242704   recall 0.6059092631692924
deviation 4/5   iterations 1920/2000   F1 0.5933568748620613   accuracy 0.8477272727272728   precision 0.5842089093701996   recall 0.6082902700738002
deviation 4/5   iterations 1930/2000   F1 0.5832811041936516   accuracy 0.8454545454545455   precision 0.5746850998463902   recall 0.5982921188400641
deviation 4/5   iterations 1940/2000   F1 0.577152885137676   accuracy 0.8431818181818181   precision 0.5692780337941629   recall 0.5911759473403309
deviation 4/5   iterations 1950/2000   F1 0.5908940452768717   accuracy 0.8579545454545454   precision 0.5776651305683563   recall 0.6210171568627452
deviation 4/5   iterations 1960/2000   F1 0.5977119676079765   accuracy 0.8647727272727272   precision 0.5815360983102918   recall 0.639168554408927
deviation 4/5   iterations 1970/2000   F1 0.581566190854579   accuracy 0.8306818181818182   precision 0.5786482334869432   recall 0.5850340136054422
deviation 4/5   iterations 1980/2000   F1 0.5966395963596793   accuracy 0.8511363636363637   precision 0.5861443932411674   recall 0.6147224404294318
deviation 4/5   iterations 1990/2000   F1 0.584389364578639   accuracy 0.8511363636363637   precision 0.5737941628264209   recall 0.6059082892416225
deviation 4/5   iterations 2000/2000   F1 0.5872875744868682   accuracy 0.8454545454545455   precision 0.5788018433179724   recall 0.6013369364244062

deviation 5/5   iterations 10/2000   F1 0.35979259375801065   accuracy 0.3890784982935154   precision 0.5411600496277915   recall 0.5193548575295792
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deviation 5/5   iterations 20/2000   F1 0.3496498997415799   accuracy 0.3720136518771331   precision 0.5522952853598014   recall 0.5257949621796284
deviation 5/5   iterations 30/2000   F1 0.450861840761778   accuracy 0.5301478953356087   precision 0.5753722084367245   recall 0.5314509365389991
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deviation 5/5   iterations 40/2000   F1 0.5211438056656479   accuracy 0.6609783845278726   precision 0.5954528535980148   recall 0.5442918825561313
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deviation 5/5   iterations 50/2000   F1 0.5408569170807495   accuracy 0.689419795221843   precision 0.6115818858560793   recall 0.5541450933172787
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deviation 5/5   iterations 60/2000   F1 0.5457012611182624   accuracy 0.6962457337883959   precision 0.6154528535980148   recall 0.5567097324638918
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deviation 5/5   iterations 70/2000   F1 0.5525072347344684   accuracy 0.7007963594994312   precision 0.6263585607940447   recall 0.562066548845146
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deviation 5/5   iterations 80/2000   F1 0.5633643299952313   accuracy 0.7155858930602957   precision 0.6347456575682382   recall 0.5680960323033708
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deviation 5/5   iterations 90/2000   F1 0.5542111349012708   accuracy 0.6871444823663254   precision 0.6477543424317618   recall 0.5691258416531229
deviation 5/5   iterations 100/2000   F1 0.5201588650627615   accuracy 0.6200227531285551   precision 0.6513151364764268   recall 0.564573516175147
deviation 5/5   iterations 110/2000   F1 0.5618868273338395   accuracy 0.6871444823663254   precision 0.6685669975186104   recall 0.577606100416976
deviation 5/5   iterations 120/2000   F1 0.5513500690131126   accuracy 0.676905574516496   precision 0.6544354838709677   recall 0.570568059413799
deviation 5/5   iterations 130/2000   F1 0.5575252437554921   accuracy 0.6734926052332195   precision 0.6774751861042183   recall 0.5794473757289642
deviation 5/5   iterations 140/2000   F1 0.555153192881936   accuracy 0.6780432309442548   precision 0.6634057071960298   recall 0.574343241626119
deviation 5/5   iterations 150/2000   F1 0.5616580079491493   accuracy 0.6951080773606371   precision 0.6564330024813896   recall 0.5738159358351385
deviation 5/5   iterations 160/2000   F1 0.5225844033310088   accuracy 0.6234357224118316   precision 0.6532506203473945   recall 0.5655389774391408
deviation 5/5   iterations 170/2000   F1 0.5340886503677201   accuracy 0.6359499431171786   precision 0.6686724565756824   recall 0.5725221380561186
deviation 5/5   iterations 180/2000   F1 0.5502631322483189   accuracy 0.6655290102389079   precision 0.6687965260545906   recall 0.5750952144394768
deviation 5/5   iterations 190/2000   F1 0.5925063614542233   accuracy 0.7440273037542662   precision 0.6675248138957817   recall 0.5882747123430963
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deviation 5/5   iterations 200/2000   F1 0.4598976109215017   accuracy 0.5199089874857793   precision 0.6361662531017369   recall 0.5573544320996687
deviation 5/5   iterations 210/2000   F1 0.44997796195004225   accuracy 0.5073947667804323   precision 0.6249069478908189   recall 0.5528455497931846
deviation 5/5   iterations 220/2000   F1 0.5686710947804787   accuracy 0.7155858930602957   precision 0.6472332506203474   recall 0.573409875412919
deviation 5/5   iterations 230/2000   F1 0.5054231862056712   accuracy 0.5893060295790671   precision 0.6588709677419355   recall 0.566533997027923
deviation 5/5   iterations 240/2000   F1 0.5731866586296965   accuracy 0.7360637087599545   precision 0.6338709677419354   recall 0.5718834941107499
deviation 5/5   iterations 250/2000   F1 0.5710519441862726   accuracy 0.7258248009101251   precision 0.6405521091811415   recall 0.5725702096038539
deviation 5/5   iterations 260/2000   F1 0.5647808441558442   accuracy 0.7224118316268487   precision 0.6302915632754342   recall 0.5674392170461988
deviation 5/5   iterations 270/2000   F1 0.560136202874558   accuracy 0.6973833902161547   precision 0.6493982630272953   recall 0.5712599124156705
deviation 5/5   iterations 280/2000   F1 0.518591159283786   accuracy 0.6143344709897611   precision 0.6564143920595533   recall 0.5663638086414554
deviation 5/5   iterations 290/2000   F1 0.5542111349012708   accuracy 0.6871444823663254   precision 0.6477543424317618   recall 0.5691258416531229
deviation 5/5   iterations 300/2000   F1 0.5909669196613798   accuracy 0.7690557451649602   precision 0.6359305210918114   recall 0.5821412505623031
deviation 5/5   iterations 310/2000   F1 0.5923746145314434   accuracy 0.7531285551763367   precision 0.6560359801488833   recall 0.5859708246746145
deviation 5/5   iterations 320/2000   F1 0.574395533074411   accuracy 0.732650739476678   precision 0.6402605459057071   recall 0.5739082112970711
deviation 5/5   iterations 330/2000   F1 0.5901308458680771   accuracy 0.757679180887372   precision 0.6461290322580645   recall 0.5830266886604915
deviation 5/5   iterations 340/2000   F1 0.57006603081438   accuracy 0.726962457337884   precision 0.6370347394540943   recall 0.5712856589647606
deviation 5/5   iterations 350/2000   F1 0.5839629882312809   accuracy 0.7474402730375427   precision 0.644485111662531   recall 0.5793722737186477
deviation 5/5   iterations 360/2000   F1 0.5693304971116913   accuracy 0.7235494880546075   precision 0.6392617866004963   recall 0.5715528781793843
deviation 5/5   iterations 370/2000   F1 0.5943331601810442   accuracy 0.7463026166097838   precision 0.6688151364764268   recall 0.5894258448676999
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deviation 5/5   iterations 380/2000   F1 0.5555474037163134   accuracy 0.7098976109215017   precision 0.6231947890818859   recall 0.5621160559010097
deviation 5/5   iterations 390/2000   F1 0.5845486955112624   accuracy 0.7610921501706485   precision 0.6314143920595534   recall 0.5774529447036284
deviation 5/5   iterations 400/2000   F1 0.5755890254200335   accuracy 0.7417519908987485   precision 0.6329342431761786   recall 0.5728134556574923
deviation 5/5   iterations 410/2000   F1 0.5500680053234275   accuracy 0.6814562002275313   precision 0.6445285359801489   recall 0.5670639032815199
deviation 5/5   iterations 420/2000   F1 0.5864892461579484   accuracy 0.7531285551763367   precision 0.6435483870967742   recall 0.5805407437314659
deviation 5/5   iterations 430/2000   F1 0.577294549334023   accuracy 0.7292377701934016   precision 0.6508126550868487   recall 0.5776768825724656
deviation 5/5   iterations 440/2000   F1 0.5890131799495386   accuracy 0.7588168373151308   precision 0.6426116625310173   recall 0.5818172111894084
deviation 5/5   iterations 450/2000   F1 0.5916945373467113   accuracy 0.7838452787258248   precision 0.6235049627791562   recall 0.5818599717114569
deviation 5/5   iterations 460/2000   F1 0.5935919885100439   accuracy 0.7861205915813424   precision 0.6247952853598016   recall 0.583452252551232
deviation 5/5   iterations 470/2000   F1 0.5939973044481344   accuracy 0.7781569965870307   precision 0.6327667493796526   recall 0.5840163934426229
deviation 5/5   iterations 480/2000   F1 0.5324059229894773   accuracy 0.6678043230944255   precision 0.6159739454094293   recall 0.5536429579808785
deviation 5/5   iterations 490/2000   F1 0.5729862620342416   accuracy 0.7189988623435722   precision 0.6533312655086849   recall 0.5766190529330804
deviation 5/5   iterations 500/2000   F1 0.5988825988825989   accuracy 0.7895335608646189   precision 0.6308933002481389   recall 0.5879239936661389
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deviation 5/5   iterations 510/2000   F1 0.5676166765382028   accuracy 0.7212741751990899   precision 0.637971464019851   recall 0.5705490141345446
deviation 5/5   iterations 520/2000   F1 0.5866638037468463   accuracy 0.7508532423208191   precision 0.6464205955334987   recall 0.5811557028703461
deviation 5/5   iterations 530/2000   F1 0.5966093387987881   accuracy 0.7656427758816837   precision 0.6506451612903226   recall 0.5875806056059667
deviation 5/5   iterations 540/2000   F1 0.6119225817367556   accuracy 0.8100113765642776   precision 0.634181141439206   recall 0.6005074160811865
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deviation 5/5   iterations 550/2000   F1 0.602793468214029   accuracy 0.7997724687144482   precision 0.6283746898263027   recall 0.591738482817321
deviation 5/5   iterations 560/2000   F1 0.5945499328257948   accuracy 0.7656427758816837   precision 0.6464826302729528   recall 0.5857407407407407
deviation 5/5   iterations 570/2000   F1 0.5857672181015363   accuracy 0.7599544937428896   precision 0.6349317617866005   recall 0.5787110081783311
deviation 5/5   iterations 580/2000   F1 0.5793065904528598   accuracy 0.7599544937428896   precision 0.6224441687344913   recall 0.5729308306237068
deviation 5/5   iterations 590/2000   F1 0.590847430577721   accuracy 0.7610921501706485   precision 0.6439019851116625   recall 0.5831028602544995
deviation 5/5   iterations 600/2000   F1 0.6101845246129225   accuracy 0.8168373151308305   precision 0.6255645161290322   recall 0.6007616487455196
deviation 5/5   iterations 610/2000   F1 0.6102955665024631   accuracy 0.7747440273037542   precision 0.6682940446650124   recall 0.5985076252723311
deviation 5/5   iterations 620/2000   F1 0.5997267759562841   accuracy 0.7770193401592719   precision 0.6446091811414392   recall 0.5890344511496448
deviation 5/5   iterations 630/2000   F1 0.5799283154121864   accuracy 0.7815699658703071   precision 0.6055645161290323   recall 0.5718878318322378
deviation 5/5   iterations 640/2000   F1 0.586950739440366   accuracy 0.7588168373151308   precision 0.6384491315136477   recall 0.5799538576177921
deviation 5/5   iterations 650/2000   F1 0.5632783899917054   accuracy 0.7281001137656428   precision 0.621029776674938   recall 0.564457512884895
deviation 5/5   iterations 660/2000   F1 0.6048201684498065   accuracy 0.820250284414107   precision 0.6150124069478908   recall 0.5977044204135837
deviation 5/5   iterations 670/2000   F1 0.6027897268943754   accuracy 0.7940841865756542   precision 0.6334739454094293   recall 0.5913165266106443
deviation 5/5   iterations 680/2000   F1 0.5948156157523332   accuracy 0.8156996587030717   precision 0.604106699751861   recall 0.5884398912287359
deviation 5/5   iterations 690/2000   F1 0.5568405774959896   accuracy 0.6996587030716723   precision 0.6382009925558313   recall 0.5669298435359434
deviation 5/5   iterations 700/2000   F1 0.5940841921057748   accuracy 0.7838452787258248   precision 0.6276674937965261   recall 0.5838835901198337
deviation 5/5   iterations 710/2000   F1 0.5984841232285822   accuracy 0.8100113765642776   precision 0.6133684863523573   recall 0.5898882483719283
deviation 5/5   iterations 720/2000   F1 0.5797800896942655   accuracy 0.7372013651877133   precision 0.6470037220843672   recall 0.5778717615047912
deviation 5/5   iterations 730/2000   F1 0.583389093342255   accuracy 0.7679180887372014   precision 0.6227977667493796   recall 0.5756053777404324
deviation 5/5   iterations 740/2000   F1 0.6087651706512217   accuracy 0.8213879408418657   precision 0.6198200992555831   recall 0.6011214189981572
deviation 5/5   iterations 750/2000   F1 0.6061933117929272   accuracy 0.8282138794084186   precision 0.6112034739454094   recall 0.6020145686319144
deviation 5/5   iterations 760/2000   F1 0.5982797576255521   accuracy 0.7974971558589306   precision 0.6229218362282878   recall 0.587841791679966
deviation 5/5   iterations 770/2000   F1 0.5801302729528537   accuracy 0.8248009101251422   precision 0.5801302729528536   recall 0.5801302729528536
deviation 5/5   iterations 780/2000   F1 0.6161026962866107   accuracy 0.8145620022753128   precision 0.6367617866004962   recall 0.6047335816357555
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deviation 5/5   iterations 790/2000   F1 0.5966093387987881   accuracy 0.7656427758816837   precision 0.6506451612903226   recall 0.5875806056059667
deviation 5/5   iterations 800/2000   F1 0.5956370151566509   accuracy 0.8270762229806599   precision 0.5980707196029776   recall 0.5934448516373093
deviation 5/5   iterations 810/2000   F1 0.6252521977230148   accuracy 0.838452787258248   precision 0.6294975186104218   recall 0.6215019091078413
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deviation 5/5   iterations 820/2000   F1 0.6077134270348443   accuracy 0.820250284414107   precision 0.6191749379652606   recall 0.5999240595872171
deviation 5/5   iterations 830/2000   F1 0.5699621678289803   accuracy 0.8168373151308305   precision 0.5714516129032259   recall 0.5686167043965209
deviation 5/5   iterations 840/2000   F1 0.5885053746016313   accuracy 0.7633674630261661   precision 0.6368672456575682   recall 0.580666744665604
deviation 5/5   iterations 850/2000   F1 0.5917062269029082   accuracy 0.8191126279863481   precision 0.5977171215880893   recall 0.5870853604599735
deviation 5/5   iterations 860/2000   F1 0.6041474555553172   accuracy 0.8327645051194539   precision 0.6054590570719602   recall 0.6029005859280422
deviation 5/5   iterations 870/2000   F1 0.5824808554514175   accuracy 0.7667804323094426   precision 0.6221526054590572   recall 0.5749231401436746
deviation 5/5   iterations 880/2000   F1 0.5835076601738649   accuracy 0.8327645051194539   precision 0.580483870967742   recall 0.5870972073039742
deviation 5/5   iterations 890/2000   F1 0.6048201684498065   accuracy 0.820250284414107   precision 0.6150124069478908   recall 0.5977044204135837
deviation 5/5   iterations 900/2000   F1 0.6056611835077975   accuracy 0.8088737201365188   precision 0.625210918114144   recall 0.5953514739229024
deviation 5/5   iterations 910/2000   F1 0.6052058056639888   accuracy 0.8304891922639362   precision 0.6083312655086849   recall 0.6024246903153153
deviation 5/5   iterations 920/2000   F1 0.6171655889280038   accuracy 0.8213879408418657   precision 0.6323076923076923   recall 0.6074804974903747
deviation 5/5   iterations 930/2000   F1 0.5832942057092307   accuracy 0.7622298065984073   precision 0.6278970223325062   recall 0.5761786875554241
deviation 5/5   iterations 940/2000   F1 0.6032327501859027   accuracy 0.8031854379977247   precision 0.6261476426799008   recall 0.5924923586347427
deviation 5/5   iterations 950/2000   F1 0.5811904423268383   accuracy 0.8475540386803185   precision 0.5722208436724565   recall 0.5977169716300151
deviation 5/5   iterations 960/2000   F1 0.583226418251799   accuracy 0.8452787258248009   precision 0.5750930521091812   recall 0.5968740996830885
deviation 5/5   iterations 970/2000   F1 0.6071135390952513   accuracy 0.825938566552901   precision 0.6140756823821341   recall 0.6016640866873065
deviation 5/5   iterations 980/2000   F1 0.6022389674779154   accuracy 0.7906712172923777   precision 0.6357009925558312   recall 0.5907450427279516
deviation 5/5   iterations 990/2000   F1 0.594407530454042   accuracy 0.8293515358361775   precision 0.5951985111662531   recall 0.5936439747125876
deviation 5/5   iterations 1000/2000   F1 0.5959013209013209   accuracy 0.838452787258248   precision 0.5920347394540942   recall 0.600528526900664
deviation 5/5   iterations 1010/2000   F1 0.5835076601738649   accuracy 0.8327645051194539   precision 0.580483870967742   recall 0.5870972073039742
deviation 5/5   iterations 1020/2000   F1 0.5923503136517856   accuracy 0.8270762229806599   precision 0.5939081885856079   recall 0.5908992650237787
deviation 5/5   iterations 1030/2000   F1 0.6083367972798799   accuracy 0.8304891922639362   precision 0.6124937965260546   recall 0.6047505718708843
deviation 5/5   iterations 1040/2000   F1 0.5781838316722038   accuracy 0.8225255972696246   precision 0.5788399503722085   recall 0.5775525397251581
deviation 5/5   iterations 1050/2000   F1 0.5851391282935238   accuracy 0.8430034129692833   precision 0.5779652605459057   recall 0.5961532576429904
deviation 5/5   iterations 1060/2000   F1 0.5966813304748845   accuracy 0.7986348122866894   precision 0.6194044665012407   recall 0.5866418192621401
deviation 5/5   iterations 1070/2000   F1 0.5999065547333042   accuracy 0.8282138794084186   precision 0.60287841191067   recall 0.5972691441441441
deviation 5/5   iterations 1080/2000   F1 0.5568822164521298   accuracy 0.8339021615472128   precision 0.5519913151364764   recall 0.5655585106382979
deviation 5/5   iterations 1090/2000   F1 0.583226418251799   accuracy 0.8452787258248009   precision 0.5750930521091812   recall 0.5968740996830885
deviation 5/5   iterations 1100/2000   F1 0.6041474555553172   accuracy 0.8327645051194539   precision 0.6054590570719602   recall 0.6029005859280422
deviation 5/5   iterations 1110/2000   F1 0.57594957064291   accuracy 0.8464163822525598   precision 0.5674131513647642   recall 0.5923467826914579
deviation 5/5   iterations 1120/2000   F1 0.5692081495484143   accuracy 0.8486916951080774   precision 0.56037841191067   recall 0.5894511432982869
deviation 5/5   iterations 1130/2000   F1 0.6256904511713545   accuracy 0.8418657565415245   precision 0.6272704714640198   recall 0.6241828482882185
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deviation 5/5   iterations 1140/2000   F1 0.6072749479851001   accuracy 0.8077360637087599   precision 0.6287282878411911   recall 0.5964229954276792
deviation 5/5   iterations 1150/2000   F1 0.5897675924302306   accuracy 0.8031854379977247   precision 0.605334987593052   recall 0.5815891137634781
deviation 5/5   iterations 1160/2000   F1 0.5902097902097903   accuracy 0.8361774744027304   precision 0.5865818858560794   recall 0.5945724352893347
deviation 5/5   iterations 1170/2000   F1 0.5427590511860175   accuracy 0.8521046643913538   precision 0.5373387096774194   recall 0.5699818621523579
deviation 5/5   iterations 1180/2000   F1 0.5749395534063433   accuracy 0.8452787258248009   precision 0.5667679900744417   recall 0.590339096860836
deviation 5/5   iterations 1190/2000   F1 0.5904280103840778   accuracy 0.8486916951080774   precision 0.5811910669975187   recall 0.6059688441234576
deviation 5/5   iterations 1200/2000   F1 0.5574315252416756   accuracy 0.8293515358361775   precision 0.5535732009925558   recall 0.5633156397548316
deviation 5/5   iterations 1210/2000   F1 0.6040738701766679   accuracy 0.825938566552901   precision 0.6099131513647643   recall 0.5993673867689616
deviation 5/5   iterations 1220/2000   F1 0.5845182595182595   accuracy 0.8339021615472128   precision 0.5811290322580644   recall 0.5886163436780052
deviation 5/5   iterations 1230/2000   F1 0.5975387548005494   accuracy 0.8327645051194539   precision 0.5971339950372208   recall 0.597950655590031
deviation 5/5   iterations 1240/2000   F1 0.5865704561721272   accuracy 0.8168373151308305   precision 0.5922642679900745   recall 0.5822257850508624
deviation 5/5   iterations 1250/2000   F1 0.6140713685764464   accuracy 0.8430034129692833   precision 0.6112655086848635   recall 0.6171705558023466
deviation 5/5   iterations 1260/2000   F1 0.5646586554753278   accuracy 0.8486916951080774   precision 0.5562158808933002   recall 0.5856359856359856
deviation 5/5   iterations 1270/2000   F1 0.5739365484837656   accuracy 0.8441410693970421   precision 0.5661228287841191   recall 0.5883830845771145
deviation 5/5   iterations 1280/2000   F1 0.5987379162191192   accuracy 0.8452787258248009   precision 0.59174317617866   recall 0.6084269333411537
deviation 5/5   iterations 1290/2000   F1 0.5930962866579922   accuracy 0.8316268486916951   precision 0.5923263027295285   recall 0.5938943144825497
deviation 5/5   iterations 1300/2000   F1 0.5946073038026194   accuracy 0.825938566552901   precision 0.5974255583126551   recall 0.5921135979729729
deviation 5/5   iterations 1310/2000   F1 0.6030229448198198   accuracy 0.8248009101251422   precision 0.6092679900744417   recall 0.5980756809728502
deviation 5/5   iterations 1320/2000   F1 0.5708950670018794   accuracy 0.8179749715585893   precision 0.5720967741935483   recall 0.5697867127828218
deviation 5/5   iterations 1330/2000   F1 0.5619129144552873   accuracy 0.850967007963595   precision 0.5533436724565757   recall 0.5861657781875025
deviation 5/5   iterations 1340/2000   F1 0.583226418251799   accuracy 0.8452787258248009   precision 0.5750930521091812   recall 0.5968740996830885
deviation 5/5   iterations 1350/2000   F1 0.5980428022681544   accuracy 0.8407281001137656   precision 0.5933250620347394   recall 0.6038892878846472
deviation 5/5   iterations 1360/2000   F1 0.5930962866579922   accuracy 0.8316268486916951   precision 0.5923263027295285   recall 0.5938943144825497
deviation 5/5   iterations 1370/2000   F1 0.596788990825688   accuracy 0.8248009101251422   precision 0.6009429280397023   recall 0.5932920536635706
deviation 5/5   iterations 1380/2000   F1 0.6037812874748041   accuracy 0.8191126279863481   precision 0.6143672456575682   recall 0.5965195175071201
deviation 5/5   iterations 1390/2000   F1 0.5972918628623787   accuracy 0.8361774744027304   precision 0.5949069478908189   recall 0.599943818756696
deviation 5/5   iterations 1400/2000   F1 0.6074118459707554   accuracy 0.8168373151308305   precision 0.6214019851116626   recall 0.598621217924167
deviation 5/5   iterations 1410/2000   F1 0.5865874284005643   accuracy 0.8282138794084186   precision 0.5862282878411911   recall 0.5869532579321389
deviation 5/5   iterations 1420/2000   F1 0.5678453354215918   accuracy 0.8100113765642776   precision 0.5717431761786601   recall 0.5648596810014133
deviation 5/5   iterations 1430/2000   F1 0.611953904368765   accuracy 0.8248009101251422   precision 0.6217555831265509   recall 0.6048226874599445
deviation 5/5   iterations 1440/2000   F1 0.5889876025224633   accuracy 0.7895335608646189   precision 0.6142431761786601   recall 0.5796553573591239
deviation 5/5   iterations 1450/2000   F1 0.5868831446272164   accuracy 0.7997724687144482   precision 0.6033995037220843   recall 0.5787414965986395
deviation 5/5   iterations 1460/2000   F1 0.5910359801488834   accuracy 0.8293515358361775   precision 0.5910359801488834   recall 0.5910359801488834
deviation 5/5   iterations 1470/2000   F1 0.5628181774982973   accuracy 0.8213879408418657   precision 0.561544665012407   recall 0.5642385392385393
deviation 5/5   iterations 1480/2000   F1 0.6073567619308082   accuracy 0.8327645051194539   precision 0.6096215880893301   recall 0.6052722506850947
deviation 5/5   iterations 1490/2000   F1 0.6039534185170637   accuracy 0.8225255972696246   precision 0.6121401985111663   recall 0.5978679862269095
deviation 5/5   iterations 1500/2000   F1 0.5601674436769265   accuracy 0.8134243458475541   precision 0.5611910669975186   recall 0.5592304366623433
deviation 5/5   iterations 1510/2000   F1 0.6030779369767385   accuracy 0.8316268486916951   precision 0.6048138957816378   recall 0.601455541144257
deviation 5/5   iterations 1520/2000   F1 0.5646586554753278   accuracy 0.8486916951080774   precision 0.5562158808933002   recall 0.5856359856359856
deviation 5/5   iterations 1530/2000   F1 0.5985949854869382   accuracy 0.8339021615472128   precision 0.5977791563275434   recall 0.5994397759103641
deviation 5/5   iterations 1540/2000   F1 0.5875563063063063   accuracy 0.8179749715585893   precision 0.592909429280397   recall 0.5833927258958997
deviation 5/5   iterations 1550/2000   F1 0.5845182595182595   accuracy 0.8339021615472128   precision 0.5811290322580644   recall 0.5886163436780052
deviation 5/5   iterations 1560/2000   F1 0.6015928515928516   accuracy 0.8407281001137656   precision 0.5974875930521092   recall 0.6064846185119935
deviation 5/5   iterations 1570/2000   F1 0.5875975878290461   accuracy 0.8293515358361775   precision 0.5868734491315136   recall 0.5883488530547354
deviation 5/5   iterations 1580/2000   F1 0.571219512195122   accuracy 0.8270762229806599   precision 0.5689330024813896   recall 0.5739144316730523
deviation 5/5   iterations 1590/2000   F1 0.6046388292158968   accuracy 0.8475540386803185   precision 0.597196029776675   recall 0.6148714038534855
deviation 5/5   iterations 1600/2000   F1 0.57594957064291   accuracy 0.8464163822525598   precision 0.5674131513647642   recall 0.5923467826914579
deviation 5/5   iterations 1610/2000   F1 0.5499496390800739   accuracy 0.8612059158134243   precision 0.5425   recall 0.5932362547632009
deviation 5/5   iterations 1620/2000   F1 0.5628806193959054   accuracy 0.8521046643913538   precision 0.5539888337468982   recall 0.5885531135531136
deviation 5/5   iterations 1630/2000   F1 0.5636909171729145   accuracy 0.8475540386803185   precision 0.5555707196029777   recall 0.5834731074583472
deviation 5/5   iterations 1640/2000   F1 0.5790111283279334   accuracy 0.8646188850967008   precision 0.5652481389578163   recall 0.6245382210855357
deviation 5/5   iterations 1650/2000   F1 0.5658661787090715   accuracy 0.8612059158134243   precision 0.5549875930521092   recall 0.6069240048250905
deviation 5/5   iterations 1660/2000   F1 0.5494307923003948   accuracy 0.8475540386803185   precision 0.5430831265508684   recall 0.5706654456654456
deviation 5/5   iterations 1670/2000   F1 0.5729404309252218   accuracy 0.8430034129692833   precision 0.5654776674937966   recall 0.5864766992200302
deviation 5/5   iterations 1680/2000   F1 0.6077425112958108   accuracy 0.8543799772468714   precision 0.5969044665012407   recall 0.6250120042254874
deviation 5/5   iterations 1690/2000   F1 0.5698667632093   accuracy 0.8600682593856656   precision 0.5585049627791563   recall 0.6077139202339075
deviation 5/5   iterations 1700/2000   F1 0.5951204413049006   accuracy 0.8577929465301479   precision 0.5821898263027295   recall 0.6217649437541357
deviation 5/5   iterations 1710/2000   F1 0.5800623621013475   accuracy 0.850967007963595   precision 0.5699937965260546   recall 0.6009393451422437
deviation 5/5   iterations 1720/2000   F1 0.569992193598751   accuracy 0.8395904436860068   precision 0.5635421836228288   recall 0.5810363924050632
deviation 5/5   iterations 1730/2000   F1 0.5721346463473995   accuracy 0.8373151308304891   precision 0.5664143920595534   recall 0.5810225827934855
deviation 5/5   iterations 1740/2000   F1 0.5821909966172261   accuracy 0.8441410693970421   precision 0.5744478908188586   recall 0.5949446202531645
deviation 5/5   iterations 1750/2000   F1 0.5777516282429871   accuracy 0.8532423208191127   precision 0.56712158808933   recall 0.6022491022491023
deviation 5/5   iterations 1760/2000   F1 0.6004428282354322   accuracy 0.8589306029579067   precision 0.5869975186104218   recall 0.6271487633277726
deviation 5/5   iterations 1770/2000   F1 0.5709683717297931   accuracy 0.8407281001137656   precision 0.5641873449131514   recall 0.5828051474118889
deviation 5/5   iterations 1780/2000   F1 0.6035209173496561   accuracy 0.8464163822525598   precision 0.5965508684863523   recall 0.6129397422500871
deviation 5/5   iterations 1790/2000   F1 0.6024106002554279   accuracy 0.8452787258248009   precision 0.5959057071960298   recall 0.6110504539708079
deviation 5/5   iterations 1800/2000   F1 0.5915524842130347   accuracy 0.8225255972696246   precision 0.5954900744416873   recall 0.5882524939800482
deviation 5/5   iterations 1810/2000   F1 0.5890296788182681   accuracy 0.8430034129692833   precision 0.5821277915632754   recall 0.5991239892183289
deviation 5/5   iterations 1820/2000   F1 0.5503317499086485   accuracy 0.8486916951080774   precision 0.5437282878411911   recall 0.5728503513848697
deviation 5/5   iterations 1830/2000   F1 0.5772169394073419   accuracy 0.8020477815699659   precision 0.5880397022332506   recall 0.5710808374236201
deviation 5/5   iterations 1840/2000   F1 0.5693315738587369   accuracy 0.8293515358361775   precision 0.566060794044665   recall 0.5735387547649301
deviation 5/5   iterations 1850/2000   F1 0.5577933905802759   accuracy 0.8350398179749715   precision 0.552636476426799   recall 0.567128164556962
deviation 5/5   iterations 1860/2000   F1 0.5769667279623032   accuracy 0.8475540386803185   precision 0.5680583126550869   recall 0.594408302354399
deviation 5/5   iterations 1870/2000   F1 0.5838467777980102   accuracy 0.8373151308304891   precision 0.5789019851116625   recall 0.5904494382022472
deviation 5/5   iterations 1880/2000   F1 0.5820988890001001   accuracy 0.8270762229806599   precision 0.5814205955334988   recall 0.5828033916269211
deviation 5/5   iterations 1890/2000   F1 0.5845182595182595   accuracy 0.8339021615472128   precision 0.5811290322580644   recall 0.5886163436780052
deviation 5/5   iterations 1900/2000   F1 0.5627300766092926   accuracy 0.8464163822525598   precision 0.5549255583126551   recall 0.5813726931843246
deviation 5/5   iterations 1910/2000   F1 0.5508121098281863   accuracy 0.8316268486916951   precision 0.5465384615384615   recall 0.5586827284105131
deviation 5/5   iterations 1920/2000   F1 0.5665079728340225   accuracy 0.825938566552901   precision 0.5641253101736973   recall 0.5693944683136413
deviation 5/5   iterations 1930/2000   F1 0.5906641534538197   accuracy 0.8327645051194539   precision 0.5888089330024814   recall 0.5926961926961927
deviation 5/5   iterations 1940/2000   F1 0.5497884738186463   accuracy 0.8248009101251422   precision 0.5468300248138958   recall 0.5542250890702218
deviation 5/5   iterations 1950/2000   F1 0.5627300766092926   accuracy 0.8464163822525598   precision 0.5549255583126551   recall 0.5813726931843246
deviation 5/5   iterations 1960/2000   F1 0.5465727232571717   accuracy 0.8100113765642776   precision 0.5467679900744417   recall 0.5463824289405684
deviation 5/5   iterations 1970/2000   F1 0.5711614039842797   accuracy 0.8361774744027304   precision 0.5657692307692308   recall 0.5793800539083558
deviation 5/5   iterations 1980/2000   F1 0.6062722386251798   accuracy 0.838452787258248   precision 0.6045223325062035   recall 0.6081450577663672
deviation 5/5   iterations 1990/2000   F1 0.5875975878290461   accuracy 0.8293515358361775   precision 0.5868734491315136   recall 0.5883488530547354
deviation 5/5   iterations 2000/2000   F1 0.5845845907685465   accuracy 0.825938566552901   precision 0.5849379652605459   recall 0.5842377260981912

