deviation 1/5   iterations 10/2000   F1 0.5053340819764177   accuracy 0.8581157775255391   precision 0.5118188512518409   recall 0.535446113074205
update
deviation 1/5   iterations 20/2000   F1 0.3400591575550509   accuracy 0.358683314415437   precision 0.5494845360824743   recall 0.5253770046071348
deviation 1/5   iterations 30/2000   F1 0.44321515828794145   accuracy 0.5175936435868331   precision 0.5696919489445262   recall 0.5292920591360687
deviation 1/5   iterations 40/2000   F1 0.45252744111163773   accuracy 0.5312145289443814   precision 0.5774239077074128   recall 0.5325116729712737
deviation 1/5   iterations 50/2000   F1 0.3611605313665869   accuracy 0.38933030646992056   precision 0.5462935689739814   recall 0.5220082851975028
deviation 1/5   iterations 60/2000   F1 0.4061065042026287   accuracy 0.45743473325766176   precision 0.5561303387334315   recall 0.5243028248347397
deviation 1/5   iterations 70/2000   F1 0.44845548620993736   accuracy 0.5221339387060159   precision 0.5805044182621502   recall 0.5338366226825821
deviation 1/5   iterations 80/2000   F1 0.41937387039957635   accuracy 0.4801362088535755   precision 0.5566642120765832   recall 0.5241109196302679
deviation 1/5   iterations 90/2000   F1 0.4629681927539788   accuracy 0.5516458569807038   precision 0.5766691212567501   recall 0.5322785660400756
deviation 1/5   iterations 100/2000   F1 0.483186997795776   accuracy 0.583427922814983   precision 0.5905927835051547   recall 0.538589218125928
deviation 1/5   iterations 110/2000   F1 0.4835443236914275   accuracy 0.5766174801362088   precision 0.6031971035837015   recall 0.5436673625608908
deviation 1/5   iterations 120/2000   F1 0.4993660491394034   accuracy 0.6072644721906924   precision 0.6041237113402061   recall 0.5449750315418951
deviation 1/5   iterations 130/2000   F1 0.49397060711076884   accuracy 0.5936435868331441   precision 0.6087444771723123   recall 0.5463997695852535
deviation 1/5   iterations 140/2000   F1 0.48587768440709606   accuracy 0.5800227014755959   precision 0.6051300932744231   recall 0.5445408126124439
deviation 1/5   iterations 150/2000   F1 0.4911436272622257   accuracy 0.5913734392735528   precision 0.6033382425135003   recall 0.5440930037704231
deviation 1/5   iterations 160/2000   F1 0.506798182190268   accuracy 0.6242905788876277   precision 0.6014359351988218   recall 0.5446491275457835
update
deviation 1/5   iterations 170/2000   F1 0.49204602038944356   accuracy 0.6004540295119183   precision 0.5920225822287678   recall 0.5396870765582655
deviation 1/5   iterations 180/2000   F1 0.44918320918851407   accuracy 0.5130533484676504   precision 0.6041728031418753   recall 0.5440294636373068
deviation 1/5   iterations 190/2000   F1 0.48003986222377026   accuracy 0.5845629965947786   precision 0.5788843888070692   recall 0.533740157480315
deviation 1/5   iterations 200/2000   F1 0.5281465821000704   accuracy 0.6765039727582293   precision 0.5940169366715758   recall 0.5453504067062125
update
deviation 1/5   iterations 210/2000   F1 0.5423750576342806   accuracy 0.6969353007945517   precision 0.6056148748159057   recall 0.5528307794312657
update
deviation 1/5   iterations 220/2000   F1 0.4868756576854366   accuracy 0.5947786606129398   precision 0.5846833578792341   recall 0.5364408390899297
deviation 1/5   iterations 230/2000   F1 0.4866942243991424   accuracy 0.5925085130533485   precision 0.5875122729504173   recall 0.5375526648409522
deviation 1/5   iterations 240/2000   F1 0.5262401229148376   accuracy 0.6662883087400681   precision 0.6005706921944035   recall 0.5472447073474471
deviation 1/5   iterations 250/2000   F1 0.4926249500363002   accuracy 0.5993189557321226   precision 0.5954958271968581   recall 0.5410936476751801
deviation 1/5   iterations 260/2000   F1 0.4857254197119476   accuracy 0.583427922814983   precision 0.5988279332351498   recall 0.5420083677642836
deviation 1/5   iterations 270/2000   F1 0.5114449762398368   accuracy 0.6311010215664018   precision 0.605301914580265   recall 0.5466456453191257
deviation 1/5   iterations 280/2000   F1 0.5273676075571362   accuracy 0.6753688989784336   precision 0.5933726067746686   recall 0.544955505394897
deviation 1/5   iterations 290/2000   F1 0.5410734017363852   accuracy 0.7003405221339387   precision 0.5993127147766323   recall 0.5504589444278161
deviation 1/5   iterations 300/2000   F1 0.5216952928899794   accuracy 0.6503972758229285   precision 0.6080203730976927   recall 0.5490941442898738
deviation 1/5   iterations 310/2000   F1 0.5327244721507767   accuracy 0.6685584562996595   precision 0.6142120765832106   recall 0.5533050750372321
deviation 1/5   iterations 320/2000   F1 0.5116342750283844   accuracy 0.623155505107832   precision 0.6172619047619048   recall 0.5511674610400044
deviation 1/5   iterations 330/2000   F1 0.5319236858346525   accuracy 0.662883087400681   precision 0.6192255768286696   recall 0.5548810801649624
deviation 1/5   iterations 340/2000   F1 0.5169687968463716   accuracy 0.641316685584563   precision 0.6069833087874326   recall 0.547998986828774
deviation 1/5   iterations 350/2000   F1 0.541945744257883   accuracy 0.6912599318955732   precision 0.6106283750613648   recall 0.5543064391748602
deviation 1/5   iterations 360/2000   F1 0.5334108376929536   accuracy 0.674233825198638   precision 0.6091985763377517   recall 0.5517332604600321
deviation 1/5   iterations 370/2000   F1 0.5413398155541986   accuracy 0.6980703745743473   precision 0.6021416298478154   recall 0.5514306019033494
deviation 1/5   iterations 380/2000   F1 0.5379461031473596   accuracy 0.6855845629965948   precision 0.6074067255768287   recall 0.5522059963969123
deviation 1/5   iterations 390/2000   F1 0.5287675525563653   accuracy 0.662883087400681   precision 0.6109904270986746   recall 0.5513981244671782
deviation 1/5   iterations 400/2000   F1 0.5403419910122629   accuracy 0.6889897843359818   precision 0.6093397152675504   recall 0.5534593459345934
deviation 1/5   iterations 410/2000   F1 0.520925108181401   accuracy 0.6515323496027242   precision 0.6045471281296023   recall 0.5477119973115269
deviation 1/5   iterations 420/2000   F1 0.5185792349726775   accuracy 0.6503972758229285   precision 0.5997852233676976   recall 0.5456026698076168
deviation 1/5   iterations 430/2000   F1 0.5355615134353537   accuracy 0.6821793416572077   precision 0.6054737358861071   recall 0.5509727164887307
deviation 1/5   iterations 440/2000   F1 0.5540478756409   accuracy 0.7185017026106697   precision 0.6096219931271478   recall 0.5579097510373444
update
deviation 1/5   iterations 450/2000   F1 0.560874653259362   accuracy 0.738933030646992   precision 0.6047496318114874   recall 0.5596061177456526
update
deviation 1/5   iterations 460/2000   F1 0.5450840834554462   accuracy 0.7060158910329172   precision 0.6025343642611685   recall 0.5527071188835895
deviation 1/5   iterations 470/2000   F1 0.5275435721733949   accuracy 0.6730987514188422   precision 0.5962015218458517   recall 0.5459795398819789
deviation 1/5   iterations 480/2000   F1 0.519024899712787   accuracy 0.6606129398410897   precision 0.5891138929798724   recall 0.5417937766931056
deviation 1/5   iterations 490/2000   F1 0.5360005362495093   accuracy 0.6878547105561862   precision 0.600460235640648   recall 0.5494150246305418
deviation 1/5   iterations 500/2000   F1 0.530946359643285   accuracy 0.6730987514188422   precision 0.6044366715758468   recall 0.5495631661715883
deviation 1/5   iterations 510/2000   F1 0.5504718301609961   accuracy 0.7082860385925085   precision 0.612058173784978   recall 0.5573314998304638
deviation 1/5   iterations 520/2000   F1 0.5562099266786484   accuracy 0.7241770715096482   precision 0.6087260677466863   recall 0.5585146435223715
deviation 1/5   iterations 530/2000   F1 0.5583494818434578   accuracy 0.7298524404086265   precision 0.6078301423662249   recall 0.55918172142963
deviation 1/5   iterations 540/2000   F1 0.5515035516969219   accuracy 0.7071509648127128   precision 0.6155314187530683   recall 0.5586993664571486
deviation 1/5   iterations 550/2000   F1 0.553379097134499   accuracy 0.7230419977298524   precision 0.6039641629847815   recall 0.5561052826789594
deviation 1/5   iterations 560/2000   F1 0.5559946949602123   accuracy 0.7412031782065834   precision 0.5936855670103093   recall 0.5547133703178084
deviation 1/5   iterations 570/2000   F1 0.5576601795076869   accuracy 0.7434733257661748   precision 0.5949742268041237   recall 0.5558413912541492
deviation 1/5   iterations 580/2000   F1 0.5477958937198069   accuracy 0.7298524404086265   precision 0.5872422680412371   recall 0.5493344345122425
deviation 1/5   iterations 590/2000   F1 0.5665995127436282   accuracy 0.7616345062429057   precision 0.5970483554246441   recall 0.5614127058092575
update
deviation 1/5   iterations 600/2000   F1 0.5401737742163275   accuracy 0.6912599318955732   precision 0.6065108001963673   recall 0.5524983364587744
deviation 1/5   iterations 610/2000   F1 0.5347690862109467   accuracy 0.681044267877412   precision 0.6048294059891999   recall 0.5505659550787956
deviation 1/5   iterations 620/2000   F1 0.5542104636527537   accuracy 0.7298524404086265   precision 0.5995949926362297   recall 0.5553041558193739
deviation 1/5   iterations 630/2000   F1 0.558093935248518   accuracy 0.7502837684449489   precision 0.5906050564555719   recall 0.555188009269642
deviation 1/5   iterations 640/2000   F1 0.5512813135995056   accuracy 0.7287173666288309   precision 0.594833087874325   recall 0.5528168532720885
deviation 1/5   iterations 650/2000   F1 0.5545689838789838   accuracy 0.7332576617480137   precision 0.5974104074619538   recall 0.5549144146014087
deviation 1/5   iterations 660/2000   F1 0.5687077641409408   accuracy 0.7741203178206584   precision 0.5917832596956308   recall 0.5624332131169438
update
deviation 1/5   iterations 670/2000   F1 0.5612639592869764   accuracy 0.7514188422247446   precision 0.5953669612174767   recall 0.5578765082675406
deviation 1/5   iterations 680/2000   F1 0.5684115032205389   accuracy 0.7548240635641317   precision 0.6055351006381935   recall 0.5638154184106628
deviation 1/5   iterations 690/2000   F1 0.5404559540977572   accuracy 0.7105561861520999   precision 0.5886413843888071   recall 0.5469481279251169
deviation 1/5   iterations 700/2000   F1 0.5626706378754034   accuracy 0.7275822928490352   precision 0.6188942071674031   recall 0.5638133192806798
deviation 1/5   iterations 710/2000   F1 0.558093935248518   accuracy 0.7502837684449489   precision 0.5906050564555719   recall 0.555188009269642
deviation 1/5   iterations 720/2000   F1 0.561864149329973   accuracy 0.7491486946651532   precision 0.5981958762886598   recall 0.5587444933920704
deviation 1/5   iterations 730/2000   F1 0.5606187012330357   accuracy 0.753688989784336   precision 0.5925380461462936   recall 0.5569968553459119
deviation 1/5   iterations 740/2000   F1 0.5627120785502853   accuracy 0.7502837684449489   precision 0.5988402061855671   recall 0.5593399549064972
deviation 1/5   iterations 750/2000   F1 0.5608787574558554   accuracy 0.7604994324631101   precision 0.5881688757977418   recall 0.5564699963841595
deviation 1/5   iterations 760/2000   F1 0.5584963149559999   accuracy 0.7446083995459705   precision 0.5956185567010309   recall 0.5564123729255366
deviation 1/5   iterations 770/2000   F1 0.5631661383899609   accuracy 0.757094211123723   precision 0.5944710358370152   recall 0.5588547879010306
deviation 1/5   iterations 780/2000   F1 0.5676351750557472   accuracy 0.7661748013620885   precision 0.5955081001472754   recall 0.5619300004774865
deviation 1/5   iterations 790/2000   F1 0.5633918348514106   accuracy 0.7366628830874007   precision 0.6116961217476682   recall 0.5623954476895653
deviation 1/5   iterations 800/2000   F1 0.5604023320552549   accuracy 0.7412031782065834   precision 0.6019207167403043   recall 0.5587430147839004
deviation 1/5   iterations 810/2000   F1 0.552402900388561   accuracy 0.7162315550510783   precision 0.6083333333333334   recall 0.5569358979320665
deviation 1/5   iterations 820/2000   F1 0.5643603715410421   accuracy 0.7684449489216799   precision 0.5885616102110948   recall 0.5589138173149146
deviation 1/5   iterations 830/2000   F1 0.5704683203773688   accuracy 0.7763904653802497   precision 0.5930719194894453   recall 0.5638933355800826
update
deviation 1/5   iterations 840/2000   F1 0.5608912356889064   accuracy 0.7707150964812712   precision 0.5816151202749141   recall 0.5557708113185393
deviation 1/5   iterations 850/2000   F1 0.5614733698357393   accuracy 0.7900113507377979   precision 0.571980854197349   recall 0.5565355696934644
deviation 1/5   iterations 860/2000   F1 0.5645589443987826   accuracy 0.7979568671963677   precision 0.572373588610702   recall 0.5600203562340966
deviation 1/5   iterations 870/2000   F1 0.5593083949543279   accuracy 0.7911464245175936   precision 0.5685076092292587   recall 0.5547641472411898
deviation 1/5   iterations 880/2000   F1 0.570256366987378   accuracy 0.7900113507377979   precision 0.5843335787923416   recall 0.5640341067934023
deviation 1/5   iterations 890/2000   F1 0.5563714253504191   accuracy 0.771850170261067   precision 0.5740243004418262   recall 0.5517823108226446
deviation 1/5   iterations 900/2000   F1 0.5554714601072217   accuracy 0.7820658342792282   precision 0.5674705449189985   recall 0.5509508980703999
deviation 1/5   iterations 910/2000   F1 0.564020473169043   accuracy 0.7582292849035187   precision 0.5951153657339224   recall 0.5594854318258574
deviation 1/5   iterations 920/2000   F1 0.5592412938028843   accuracy 0.7650397275822929   precision 0.5825110456553755   recall 0.5546505389455202
deviation 1/5   iterations 930/2000   F1 0.5500010114496097   accuracy 0.7707150964812712   precision 0.5651448208149239   recall 0.5462377393334379
deviation 1/5   iterations 940/2000   F1 0.5596663482684319   accuracy 0.7956867196367764   precision 0.56696735395189   recall 0.5555368956743002
deviation 1/5   iterations 950/2000   F1 0.5521144588313412   accuracy 0.7775255391600454   precision 0.5648932253313697   recall 0.5479678853306722
deviation 1/5   iterations 960/2000   F1 0.5700549155887338   accuracy 0.793416572077185   precision 0.5821489936180658   recall 0.5641508529806403
deviation 1/5   iterations 970/2000   F1 0.5571693121693122   accuracy 0.7843359818388195   precision 0.5687592047128129   recall 0.5524971889055472
deviation 1/5   iterations 980/2000   F1 0.5488067192461333   accuracy 0.7729852440408627   precision 0.5623159057437408   recall 0.5451213009864037
deviation 1/5   iterations 990/2000   F1 0.5592412938028843   accuracy 0.7650397275822929   precision 0.5825110456553755   recall 0.5546505389455202
deviation 1/5   iterations 1000/2000   F1 0.5640985210961287   accuracy 0.793416572077185   precision 0.5739138438880707   recall 0.5590858252884389
deviation 1/5   iterations 1010/2000   F1 0.5786704925872788   accuracy 0.8274687854710556   precision 0.576773441335297   recall 0.5808016223617247
update
deviation 1/5   iterations 1020/2000   F1 0.5754980958573286   accuracy 0.811577752553916   precision 0.5801055473735885   recall 0.5719799730915989
deviation 1/5   iterations 1030/2000   F1 0.5589118825100133   accuracy 0.775255391600454   precision 0.5759572901325478   recall 0.553912089060785
deviation 1/5   iterations 1040/2000   F1 0.5790064496792126   accuracy 0.8081725312145289   precision 0.5864077074128621   recall 0.5740092504993167
update
deviation 1/5   iterations 1050/2000   F1 0.5595363269008742   accuracy 0.7797956867196367   precision 0.5744170348551791   recall 0.5544378007613302
deviation 1/5   iterations 1060/2000   F1 0.5480898029634492   accuracy 0.7604994324631101   precision 0.567581001472754   recall 0.5451544920785909
deviation 1/5   iterations 1070/2000   F1 0.5652691343117221   accuracy 0.8070374574347332   precision 0.5692930780559646   recall 0.5622642757890558
deviation 1/5   iterations 1080/2000   F1 0.5726067270375161   accuracy 0.8161180476730987   precision 0.5744477172312223   recall 0.570972270972271
deviation 1/5   iterations 1090/2000   F1 0.5623447590660706   accuracy 0.7911464245175936   precision 0.5726251840942562   recall 0.5573745855067966
deviation 1/5   iterations 1100/2000   F1 0.5520999115826702   accuracy 0.738933030646992   precision 0.5882793323514973   recall 0.5515560716179991
deviation 1/5   iterations 1110/2000   F1 0.5734246385833852   accuracy 0.8013620885357549   precision 0.5825417280314188   recall 0.5680250434923333
deviation 1/5   iterations 1120/2000   F1 0.5679933462831569   accuracy 0.7945516458569807   precision 0.5786757486499755   recall 0.5625207248327384
deviation 1/5   iterations 1130/2000   F1 0.5658454325081113   accuracy 0.8036322360953462   precision 0.5714776632302405   recall 0.5620445732304938
deviation 1/5   iterations 1140/2000   F1 0.5609646127600781   accuracy 0.7854710556186152   precision 0.5735211094747177   recall 0.555824247507222
deviation 1/5   iterations 1150/2000   F1 0.5575341218106353   accuracy 0.7809307604994324   precision 0.5709437898870888   recall 0.5527177382580939
deviation 1/5   iterations 1160/2000   F1 0.5536204484440579   accuracy 0.771850170261067   precision 0.5699067255768286   recall 0.549375866851595
deviation 1/5   iterations 1170/2000   F1 0.5699511862867521   accuracy 0.8047673098751419   precision 0.5762395679921453   recall 0.5657354497354498
deviation 1/5   iterations 1180/2000   F1 0.5637071100106119   accuracy 0.8093076049943246   precision 0.5664641629847815   recall 0.5614768986264048
deviation 1/5   iterations 1190/2000   F1 0.5544564469798116   accuracy 0.7729852440408627   precision 0.5705510554737359   recall 0.5500749141971114
deviation 1/5   iterations 1200/2000   F1 0.5697878388590166   accuracy 0.7968217934165721   precision 0.5799644084437899   recall 0.5643061587050928
deviation 1/5   iterations 1210/2000   F1 0.581238641129596   accuracy 0.8263337116912599   precision 0.5802466863033873   recall 0.5822887563240957
update
deviation 1/5   iterations 1220/2000   F1 0.5596663482684319   accuracy 0.7956867196367764   precision 0.56696735395189   recall 0.5555368956743002
deviation 1/5   iterations 1230/2000   F1 0.5552954187455769   accuracy 0.7741203178206584   precision 0.5711953853706431   recall 0.5507817287322514
deviation 1/5   iterations 1240/2000   F1 0.5629869044883978   accuracy 0.7843359818388195   precision 0.576994354442808   recall 0.5575191623574284
deviation 1/5   iterations 1250/2000   F1 0.556484091824406   accuracy 0.7956867196367764   precision 0.5628497790868925   recall 0.5527894606630381
deviation 1/5   iterations 1260/2000   F1 0.5738545861228614   accuracy 0.8217934165720772   precision 0.5735517918507609   recall 0.5741634491634492
deviation 1/5   iterations 1270/2000   F1 0.5700967154335526   accuracy 0.8172531214528944   precision 0.570974472263132   recall 0.5692707584686886
deviation 1/5   iterations 1280/2000   F1 0.5685494915957667   accuracy 0.7990919409761634   precision 0.5771354933726067   recall 0.5635696079621313
deviation 1/5   iterations 1290/2000   F1 0.5736310840707964   accuracy 0.8093076049943246   precision 0.5788168875797741   recall 0.5698347107438017
deviation 1/5   iterations 1300/2000   F1 0.5740242774860672   accuracy 0.8059023836549376   precision 0.58100147275405   recall 0.5693787448754336
deviation 1/5   iterations 1310/2000   F1 0.568901072986676   accuracy 0.811577752553916   precision 0.5718703976435935   recall 0.5664774662277217
deviation 1/5   iterations 1320/2000   F1 0.5694672160774958   accuracy 0.8081725312145289   precision 0.5740549828178694   recall 0.5660753394656154
deviation 1/5   iterations 1330/2000   F1 0.5614733698357393   accuracy 0.7900113507377979   precision 0.571980854197349   recall 0.5565355696934644
deviation 1/5   iterations 1340/2000   F1 0.5667444360575493   accuracy 0.8047673098751419   precision 0.5721219931271477   recall 0.5630295814831499
deviation 1/5   iterations 1350/2000   F1 0.558062036021729   accuracy 0.7741203178206584   precision 0.5753129602356406   recall 0.5531943481276006
deviation 1/5   iterations 1360/2000   F1 0.5673302668774856   accuracy 0.8138479001135074   precision 0.5690414825724104   recall 0.5658184158184159
deviation 1/5   iterations 1370/2000   F1 0.5528305146979416   accuracy 0.7866061293984109   precision 0.5618127147766323   recall 0.5488326320076015
deviation 1/5   iterations 1380/2000   F1 0.5817528910529519   accuracy 0.8229284903518729   precision 0.5824312714776633   recall 0.5810995194281436
update
deviation 1/5   iterations 1390/2000   F1 0.574488637735758   accuracy 0.8183881952326901   precision 0.5757363770250368   recall 0.5733350762941484
deviation 1/5   iterations 1400/2000   F1 0.5516308698735104   accuracy 0.7979568671963677   precision 0.5559032891507119   recall 0.5488555677113499
deviation 1/5   iterations 1410/2000   F1 0.5807775423793028   accuracy 0.8217934165720772   precision 0.5817869415807561   recall 0.57982367878875
deviation 1/5   iterations 1420/2000   F1 0.5754371289064276   accuracy 0.8195232690124858   precision 0.576380706921944   recall 0.5745472186287193
deviation 1/5   iterations 1430/2000   F1 0.5655095783619337   accuracy 0.811577752553916   precision 0.567752822778596   recall 0.563611956120944
deviation 1/5   iterations 1440/2000   F1 0.5773495772487403   accuracy 0.8217934165720772   precision 0.5776693667157584   recall 0.5770359099208765
deviation 1/5   iterations 1450/2000   F1 0.5644499672639329   accuracy 0.7900113507377979   precision 0.5760984290623465   recall 0.5590872705788179
deviation 1/5   iterations 1460/2000   F1 0.5587991976205299   accuracy 0.7945516458569807   precision 0.5663230240549828   recall 0.5546587369017275
deviation 1/5   iterations 1470/2000   F1 0.5783339842201544   accuracy 0.8149829738933031   precision 0.5820385370643102   recall 0.5753267973856209
deviation 1/5   iterations 1480/2000   F1 0.5627936213855621   accuracy 0.7956867196367764   precision 0.5710849288168875   recall 0.5582204173535443
deviation 1/5   iterations 1490/2000   F1 0.5475441982071714   accuracy 0.775255391600454   precision 0.5594869906725577   recall 0.5439716955456773
deviation 1/5   iterations 1500/2000   F1 0.5473946213842422   accuracy 0.7877412031782066   precision 0.5542218949435445   recall 0.5441367459889308
deviation 1/5   iterations 1510/2000   F1 0.5685552636430679   accuracy 0.8070374574347332   precision 0.5734106529209622   recall 0.5650445846020009
deviation 1/5   iterations 1520/2000   F1 0.5735451962538146   accuracy 0.8172531214528944   precision 0.5750920471281296   recall 0.5721436151397241
deviation 1/5   iterations 1530/2000   F1 0.571965495430253   accuracy 0.8195232690124858   precision 0.5722631320569465   recall 0.5716737674984784
deviation 1/5   iterations 1540/2000   F1 0.5703118430391159   accuracy 0.8354143019296254   precision 0.5648134511536573   recall 0.5788821174643006
deviation 1/5   iterations 1550/2000   F1 0.579807529764061   accuracy 0.8206583427922814   precision 0.5811426116838488   recall 0.5785699006512335
deviation 1/5   iterations 1560/2000   F1 0.5710286062081559   accuracy 0.8183881952326901   precision 0.5716188021600392   recall 0.5704617353715375
deviation 1/5   iterations 1570/2000   F1 0.5515561372891216   accuracy 0.793416572077185   precision 0.5574435444280805   recall 0.5482485980537688
deviation 1/5   iterations 1580/2000   F1 0.5771552177572059   accuracy 0.8342792281498297   precision 0.5724042709867452   recall 0.5836950970377937
deviation 1/5   iterations 1590/2000   F1 0.5682476210519987   accuracy 0.8149829738933031   precision 0.5696858124693176   recall 0.56694965216366
deviation 1/5   iterations 1600/2000   F1 0.5547737521380812   accuracy 0.793416572077185   precision 0.5615611192930781   recall 0.5510534351145038
deviation 1/5   iterations 1610/2000   F1 0.554182028482614   accuracy 0.8013620885357549   precision 0.5578362788414335   recall 0.5516042487954446
deviation 1/5   iterations 1620/2000   F1 0.5685152475535347   accuracy 0.8240635641316686   precision 0.5666053019145803   recall 0.5707248416608023
deviation 1/5   iterations 1630/2000   F1 0.5679863519310784   accuracy 0.8104426787741204   precision 0.5712260677466863   recall 0.5653989181879648
deviation 1/5   iterations 1640/2000   F1 0.5625909397465885   accuracy 0.8036322360953462   precision 0.567360088365243   recall 0.5592723384954319
deviation 1/5   iterations 1650/2000   F1 0.5693518146511316   accuracy 0.8342792281498297   precision 0.5641691212567501   recall 0.5772760863139226
deviation 1/5   iterations 1660/2000   F1 0.5655095783619337   accuracy 0.811577752553916   precision 0.567752822778596   recall 0.563611956120944
deviation 1/5   iterations 1670/2000   F1 0.549495035581881   accuracy 0.7820658342792282   precision 0.5592353951890034   recall 0.5457340762218811
deviation 1/5   iterations 1680/2000   F1 0.5772082348031715   accuracy 0.8433598183881952   precision 0.5693237604320078   recall 0.5912402274342573
deviation 1/5   iterations 1690/2000   F1 0.5620390646630924   accuracy 0.8206583427922814   precision 0.5605547373588611   recall 0.5637319486424346
deviation 1/5   iterations 1700/2000   F1 0.5629500458501827   accuracy 0.8127128263337117   precision 0.5642795778105056   recall 0.5617556891875958
deviation 1/5   iterations 1710/2000   F1 0.5629973781259917   accuracy 0.8172531214528944   precision 0.562739322533137   recall 0.5632610632610633
deviation 1/5   iterations 1720/2000   F1 0.5673302668774856   accuracy 0.8138479001135074   precision 0.5690414825724104   recall 0.5658184158184159
deviation 1/5   iterations 1730/2000   F1 0.5665814136117655   accuracy 0.8172531214528944   precision 0.5668568973981345   recall 0.5663116250760803
deviation 1/5   iterations 1740/2000   F1 0.5528305146979416   accuracy 0.7866061293984109   precision 0.5618127147766323   recall 0.5488326320076015
deviation 1/5   iterations 1750/2000   F1 0.5652691343117221   accuracy 0.8070374574347332   precision 0.5692930780559646   recall 0.5622642757890558
deviation 1/5   iterations 1760/2000   F1 0.5625909397465885   accuracy 0.8036322360953462   precision 0.567360088365243   recall 0.5592723384954319
deviation 1/5   iterations 1770/2000   F1 0.562947702360677   accuracy 0.8217934165720772   precision 0.5611990672557683   recall 0.5649842312403889
deviation 1/5   iterations 1780/2000   F1 0.5658454325081113   accuracy 0.8036322360953462   precision 0.5714776632302405   recall 0.5620445732304938
deviation 1/5   iterations 1790/2000   F1 0.5716731540721518   accuracy 0.8149829738933031   precision 0.5738033873343151   recall 0.569820499721345
deviation 1/5   iterations 1800/2000   F1 0.5643721535458686   accuracy 0.8059023836549376   precision 0.5686487481590574   recall 0.5612516425755585
deviation 1/5   iterations 1810/2000   F1 0.5619223119223119   accuracy 0.8070374574347332   precision 0.5651755031909671   recall 0.5594095404304829
deviation 1/5   iterations 1820/2000   F1 0.572250233426704   accuracy 0.8376844494892168   precision 0.5661021109474718   recall 0.582206416557282
deviation 1/5   iterations 1830/2000   F1 0.5738545861228614   accuracy 0.8217934165720772   precision 0.5735517918507609   recall 0.5741634491634492
deviation 1/5   iterations 1840/2000   F1 0.5757646364384795   accuracy 0.8240635641316686   precision 0.5748404516445753   recall 0.5767449470160336
deviation 1/5   iterations 1850/2000   F1 0.5655095783619337   accuracy 0.811577752553916   precision 0.567752822778596   recall 0.563611956120944
deviation 1/5   iterations 1860/2000   F1 0.5623447590660706   accuracy 0.7911464245175936   precision 0.5726251840942562   recall 0.5573745855067966
deviation 1/5   iterations 1870/2000   F1 0.579140127388535   accuracy 0.8365493757094211   precision 0.5736929307805596   recall 0.5869234778076957
deviation 1/5   iterations 1880/2000   F1 0.5620949926362298   accuracy 0.8161180476730987   precision 0.5620949926362298   recall 0.5620949926362298
deviation 1/5   iterations 1890/2000   F1 0.5646061014982968   accuracy 0.8104426787741204   precision 0.5671084928816887   recall 0.5625357396097806
deviation 1/5   iterations 1900/2000   F1 0.5716731540721518   accuracy 0.8149829738933031   precision 0.5738033873343151   recall 0.569820499721345
deviation 1/5   iterations 1910/2000   F1 0.5638613861386139   accuracy 0.8229284903518729   precision 0.5618433971526755   recall 0.5662607826635809
deviation 1/5   iterations 1920/2000   F1 0.5550401727661156   accuracy 0.8024971623155505   precision 0.5584806087383407   recall 0.5525485784865127
deviation 1/5   iterations 1930/2000   F1 0.562947702360677   accuracy 0.8217934165720772   precision 0.5611990672557683   recall 0.5649842312403889
deviation 1/5   iterations 1940/2000   F1 0.5548697728330972   accuracy 0.8263337116912599   precision 0.5514236622484046   recall 0.5600424165997936
deviation 1/5   iterations 1950/2000   F1 0.5643721535458686   accuracy 0.8059023836549376   precision 0.5686487481590574   recall 0.5612516425755585
deviation 1/5   iterations 1960/2000   F1 0.5675682657779845   accuracy 0.8274687854710556   precision 0.5644207167403044   recall 0.5716254571257027
deviation 1/5   iterations 1970/2000   F1 0.5712779474979048   accuracy 0.8365493757094211   precision 0.5654577810505645   recall 0.5805251079505994
deviation 1/5   iterations 1980/2000   F1 0.5674495753715498   accuracy 0.8320090805902384   precision 0.5628804614629357   recall 0.5741697790903038
deviation 1/5   iterations 1990/2000   F1 0.5703118430391159   accuracy 0.8354143019296254   precision 0.5648134511536573   recall 0.5788821174643006
deviation 1/5   iterations 2000/2000   F1 0.5611353917007379   accuracy 0.8195232690124858   precision 0.5599104074619539   recall 0.5625032010243278

deviation 2/5   iterations 10/2000   F1 0.5521929989565162   accuracy 0.7079545454545455   precision 0.6160061443932412   recall 0.5590945512820513
update
deviation 2/5   iterations 20/2000   F1 0.43142831347056704   accuracy 0.47954545454545455   precision 0.61394777265745   recall 0.5494905502271041
deviation 2/5   iterations 30/2000   F1 0.42467269039277156   accuracy 0.4681818181818182   precision 0.6157296466973886   recall 0.5509188920308622
deviation 2/5   iterations 40/2000   F1 0.48118227554179566   accuracy 0.5568181818181818   precision 0.6331182795698924   recall 0.5559532848826698
deviation 2/5   iterations 50/2000   F1 0.3977658794528939   accuracy 0.42613636363636365   precision 0.6206758832565284   recall 0.5568076638282118
deviation 2/5   iterations 60/2000   F1 0.5420742754411398   accuracy 0.6602272727272728   precision 0.6506605222734254   recall 0.5677138564863909
deviation 2/5   iterations 70/2000   F1 0.4919075462360467   accuracy 0.5704545454545454   precision 0.6449769585253456   recall 0.5609756097560976
deviation 2/5   iterations 80/2000   F1 0.5056572123037948   accuracy 0.5897727272727272   precision 0.6559447004608295   recall 0.5658140403286034
deviation 2/5   iterations 90/2000   F1 0.5255484109973274   accuracy 0.6295454545454545   precision 0.6497081413210446   recall 0.5649141316452728
deviation 2/5   iterations 100/2000   F1 0.4815879481066873   accuracy 0.5375   precision 0.6839016897081414   recall 0.5781527438323828
deviation 2/5   iterations 110/2000   F1 0.5223843137254902   accuracy 0.6068181818181818   precision 0.682089093701997   recall 0.5770240415854451
deviation 2/5   iterations 120/2000   F1 0.5438458774060955   accuracy 0.6443181818181818   precision 0.6827956989247311   recall 0.5793265641331939
deviation 2/5   iterations 130/2000   F1 0.5555938392523869   accuracy 0.6602272727272728   precision 0.6918279569892473   recall 0.5843163944343618
update
deviation 2/5   iterations 140/2000   F1 0.5551756508713271   accuracy 0.6579545454545455   precision 0.6946543778801844   recall 0.5852272727272727
deviation 2/5   iterations 150/2000   F1 0.5386732177220457   accuracy 0.6306818181818182   precision 0.691520737327189   recall 0.5819245568662083
deviation 2/5   iterations 160/2000   F1 0.5542615065280996   accuracy 0.675   precision 0.6631643625192012   recall 0.57439584022054
deviation 2/5   iterations 170/2000   F1 0.512987012987013   accuracy 0.5909090909090909   precision 0.6812903225806453   recall 0.5763148501637259
deviation 2/5   iterations 180/2000   F1 0.5578238617194622   accuracy 0.6818181818181818   precision 0.6629185867895545   recall 0.5751392832650378
update
deviation 2/5   iterations 190/2000   F1 0.5384245846752649   accuracy 0.6352272727272728   precision 0.6817511520737327   recall 0.578263906527813
deviation 2/5   iterations 200/2000   F1 0.5198261504955946   accuracy 0.6079545454545454   precision 0.670384024577573   recall 0.5722752767989324
deviation 2/5   iterations 210/2000   F1 0.573320548930305   accuracy 0.696590909090909   precision 0.6836559139784946   recall 0.5856172231261028
update
deviation 2/5   iterations 220/2000   F1 0.5377581404932854   accuracy 0.6465909090909091   precision 0.6593855606758833   recall 0.5700566070348284
deviation 2/5   iterations 230/2000   F1 0.564581499079538   accuracy 0.6909090909090909   precision 0.6680798771121352   recall 0.5784804824448154
deviation 2/5   iterations 240/2000   F1 0.5445319477145409   accuracy 0.6522727272727272   precision 0.6708448540706605   recall 0.5751685581586474
deviation 2/5   iterations 250/2000   F1 0.5387493113224451   accuracy 0.6443181818181818   precision 0.6663287250384025   recall 0.572689093682198
deviation 2/5   iterations 260/2000   F1 0.5163747388719268   accuracy 0.6113636363636363   precision 0.6517357910906298   recall 0.5647907647907648
deviation 2/5   iterations 270/2000   F1 0.5347205407836025   accuracy 0.6352272727272728   precision 0.6694009216589862   recall 0.5732761370160107
deviation 2/5   iterations 280/2000   F1 0.5628843253277642   accuracy 0.6886363636363636   precision 0.6667895545314899   recall 0.5776321132979849
deviation 2/5   iterations 290/2000   F1 0.5668900844579363   accuracy 0.7022727272727273   precision 0.6580645161290323   recall 0.5761315410977147
deviation 2/5   iterations 300/2000   F1 0.5377581404932854   accuracy 0.6465909090909091   precision 0.6593855606758833   recall 0.5700566070348284
deviation 2/5   iterations 310/2000   F1 0.5726385146600814   accuracy 0.7056818181818182   precision 0.6682334869431643   recall 0.580879572738444
deviation 2/5   iterations 320/2000   F1 0.5871192382869042   accuracy 0.7329545454545454   precision 0.6672503840245776   recall 0.5859998988979881
update
deviation 2/5   iterations 330/2000   F1 0.5871192382869042   accuracy 0.7329545454545454   precision 0.6672503840245776   recall 0.5859998988979881
deviation 2/5   iterations 340/2000   F1 0.5620377190490066   accuracy 0.6875   precision 0.6661443932411675   recall 0.5772112573099415
deviation 2/5   iterations 350/2000   F1 0.5459616242748773   accuracy 0.6636363636363637   precision 0.6567127496159755   recall 0.5705216472839281
deviation 2/5   iterations 360/2000   F1 0.5358776132404182   accuracy 0.6477272727272727   precision 0.6517972350230414   recall 0.567063537306383
deviation 2/5   iterations 370/2000   F1 0.5239320468414976   accuracy 0.6272727272727273   precision 0.6484178187403994   recall 0.5642505652347387
deviation 2/5   iterations 380/2000   F1 0.5388719512195121   accuracy 0.65   precision 0.6572043010752688   recall 0.5694523619503667
deviation 2/5   iterations 390/2000   F1 0.5252131803347722   accuracy 0.6272727272727273   precision 0.6525345622119816   recall 0.5659289003617126
deviation 2/5   iterations 400/2000   F1 0.5908067926072427   accuracy 0.7443181818181818   precision 0.6613517665130568   recall 0.5863906727023898
update
deviation 2/5   iterations 410/2000   F1 0.5845170454545454   accuracy 0.7340909090909091   precision 0.6596620583717359   recall 0.5830982852684025
deviation 2/5   iterations 420/2000   F1 0.5762458626681817   accuracy 0.7125   precision 0.6679877112135177   recall 0.5820016316345139
deviation 2/5   iterations 430/2000   F1 0.543206106870229   accuracy 0.6522727272727272   precision 0.6667281105990783   recall 0.5735067045916294
deviation 2/5   iterations 440/2000   F1 0.5763639955426927   accuracy 0.7147727272727272   precision 0.6651612903225806   recall 0.5812693498452013
deviation 2/5   iterations 450/2000   F1 0.5531675837630723   accuracy 0.6795454545454546   precision 0.653394777265745   recall 0.5709591782208049
deviation 2/5   iterations 460/2000   F1 0.5713874941073604   accuracy 0.7170454545454545   precision 0.6499846390168971   recall 0.5753785913683638
deviation 2/5   iterations 470/2000   F1 0.5576946260490564   accuracy 0.6920454545454545   precision 0.6481413210445468   recall 0.5704558737580363
deviation 2/5   iterations 480/2000   F1 0.5674873649557194   accuracy 0.6988636363636364   precision 0.6643625192012289   recall 0.5781706604324957
deviation 2/5   iterations 490/2000   F1 0.5687604233356256   accuracy 0.7181818181818181   precision 0.6423963133640553   recall 0.5723716671559106
deviation 2/5   iterations 500/2000   F1 0.5788913023577094   accuracy 0.7386363636363636   precision 0.6416589861751152   recall 0.5764671544467367
deviation 2/5   iterations 510/2000   F1 0.57479825572653   accuracy 0.7261363636363637   precision 0.6469124423963133   recall 0.5759047619047619
deviation 2/5   iterations 520/2000   F1 0.5494706941256131   accuracy 0.6829545454545455   precision 0.6388632872503841   recall 0.5653693076638282
deviation 2/5   iterations 530/2000   F1 0.5715676728334955   accuracy 0.7340909090909091   precision 0.6308448540706606   recall 0.5706297138990786
deviation 2/5   iterations 540/2000   F1 0.5774566733035846   accuracy 0.7443181818181818   precision 0.6325345622119816   recall 0.573831430214409
deviation 2/5   iterations 550/2000   F1 0.5593819345813875   accuracy 0.7079545454545455   precision 0.6324731182795699   recall 0.5662878787878788
deviation 2/5   iterations 560/2000   F1 0.549296998148614   accuracy 0.678409090909091   precision 0.6445161290322581   recall 0.5671600877192983
deviation 2/5   iterations 570/2000   F1 0.5496801705756931   accuracy 0.6727272727272727   precision 0.6536405529953917   recall 0.5702486304256216
deviation 2/5   iterations 580/2000   F1 0.5653871775434728   accuracy 0.7068181818181818   precision 0.6482949308755761   recall 0.5728225645853323
deviation 2/5   iterations 590/2000   F1 0.5794383590449428   accuracy 0.7443181818181818   precision 0.6366513056835638   recall 0.575675087108014
deviation 2/5   iterations 600/2000   F1 0.5780167232061808   accuracy 0.7556818181818182   precision 0.6225192012288786   recall 0.5722966701473489
deviation 2/5   iterations 610/2000   F1 0.581643245317911   accuracy 0.7522727272727273   precision 0.6329339477726574   recall 0.576141506711433
deviation 2/5   iterations 620/2000   F1 0.5760416666666666   accuracy 0.7477272727272727   precision 0.6262365591397849   recall 0.5718482252141983
deviation 2/5   iterations 630/2000   F1 0.5783719097129458   accuracy 0.7534090909090909   precision 0.6253456221198157   recall 0.5729739010989011
deviation 2/5   iterations 640/2000   F1 0.5886038963957889   accuracy 0.7636363636363637   precision 0.6352688172043011   recall 0.5806534338616197
deviation 2/5   iterations 650/2000   F1 0.5765771903529091   accuracy 0.7431818181818182   precision 0.631889400921659   recall 0.5732538853737945
deviation 2/5   iterations 660/2000   F1 0.5745127368418887   accuracy 0.7329545454545454   precision 0.6384331797235023   recall 0.5737257519830362
deviation 2/5   iterations 670/2000   F1 0.5724333803912409   accuracy 0.7352272727272727   precision 0.631490015360983   recall 0.5711739037888464
deviation 2/5   iterations 680/2000   F1 0.5935202120114964   accuracy 0.775   precision 0.6334869431643625   recall 0.5838214073508191
update
deviation 2/5   iterations 690/2000   F1 0.5854813806819669   accuracy 0.7545454545454545   precision 0.6383410138248848   recall 0.5792385497392148
deviation 2/5   iterations 700/2000   F1 0.5840713993732116   accuracy 0.7477272727272727   precision 0.6427035330261137   recall 0.5792602603217506
deviation 2/5   iterations 710/2000   F1 0.5652826848141386   accuracy 0.7159090909090909   precision 0.6369892473118279   recall 0.5696235736457833
deviation 2/5   iterations 720/2000   F1 0.5685103463659875   accuracy 0.7352272727272727   precision 0.6232565284178186   recall 0.5674712086965881
deviation 2/5   iterations 730/2000   F1 0.5636492322506178   accuracy 0.7261363636363637   precision 0.6222119815668202   recall 0.565086782376502
deviation 2/5   iterations 740/2000   F1 0.5833927936376342   accuracy 0.7625   precision 0.6263901689708141   recall 0.5761648745519713
deviation 2/5   iterations 750/2000   F1 0.6023979302076103   accuracy 0.7965909090909091   precision 0.6292780337941628   recall 0.5913194444444444
update
deviation 2/5   iterations 760/2000   F1 0.5870332090312449   accuracy 0.7670454545454546   precision 0.6289708141321044   recall 0.5788599681404226
deviation 2/5   iterations 770/2000   F1 0.5696227929373996   accuracy 0.7340909090909091   precision 0.6267281105990783   recall 0.5687871450583315
deviation 2/5   iterations 780/2000   F1 0.5725437601017916   accuracy 0.7431818181818182   precision 0.6236559139784946   recall 0.5695120856043493
deviation 2/5   iterations 790/2000   F1 0.5998065442890863   accuracy 0.7852272727272728   precision 0.6351766513056836   recall 0.5887784090909091
deviation 2/5   iterations 800/2000   F1 0.5638686466344831   accuracy 0.7238636363636364   precision 0.6250384024577573   recall 0.5659019663721858
deviation 2/5   iterations 810/2000   F1 0.5750434614641684   accuracy 0.7386363636363636   precision 0.6334254992319508   recall 0.5728305126811959
deviation 2/5   iterations 820/2000   F1 0.56641702798581   accuracy 0.7272727272727273   precision 0.6269738863287251   recall 0.5674449572125144
deviation 2/5   iterations 830/2000   F1 0.5891147113495608   accuracy 0.759090909090909   precision 0.6409216589861751   recall 0.5817711193034748
deviation 2/5   iterations 840/2000   F1 0.5963483165890022   accuracy 0.7784090909090909   precision 0.6354224270353303   recall 0.5860507246376812
deviation 2/5   iterations 850/2000   F1 0.5989663777155371   accuracy 0.7897727272727273   precision 0.6295238095238095   recall 0.5881153023006955
deviation 2/5   iterations 860/2000   F1 0.6004324801633592   accuracy 0.7943181818181818   precision 0.6279877112135177   recall 0.589540561917535
deviation 2/5   iterations 870/2000   F1 0.588489429566504   accuracy 0.7715909090909091   precision 0.6274347158218125   recall 0.5797103677284466
deviation 2/5   iterations 880/2000   F1 0.5789738027662858   accuracy 0.7488636363636364   precision 0.6309984639016897   recall 0.5743250780901383
deviation 2/5   iterations 890/2000   F1 0.5780112472208903   accuracy 0.7375   precision 0.6410138248847925   recall 0.5759109311740891
deviation 2/5   iterations 900/2000   F1 0.6023224057136682   accuracy 0.7909090909090909   precision 0.6342857142857142   recall 0.590942001847552
deviation 2/5   iterations 910/2000   F1 0.6202265167782409   accuracy 0.8136363636363636   precision 0.6430721966205837   recall 0.6080500412989207
update
deviation 2/5   iterations 920/2000   F1 0.6149853341307009   accuracy 0.8079545454545455   precision 0.6398463901689708   recall 0.6028412377096588
deviation 2/5   iterations 930/2000   F1 0.5812126139853304   accuracy 0.7465909090909091   precision 0.637941628264209   recall 0.5768435608861141
deviation 2/5   iterations 940/2000   F1 0.5882956785581265   accuracy 0.7659090909090909   precision 0.6324423963133641   recall 0.5800997391323736
deviation 2/5   iterations 950/2000   F1 0.583743395109747   accuracy 0.7602272727272728   precision 0.6292165898617511   recall 0.5767764829580303
deviation 2/5   iterations 960/2000   F1 0.5783719097129458   accuracy 0.7534090909090909   precision 0.6253456221198157   recall 0.5729739010989011
deviation 2/5   iterations 970/2000   F1 0.5848206374522164   accuracy 0.7670454545454546   precision 0.6248540706605223   recall 0.5769137596899224
deviation 2/5   iterations 980/2000   F1 0.6150957721604647   accuracy 0.8193181818181818   precision 0.6298310291858679   recall 0.605688047697171
deviation 2/5   iterations 990/2000   F1 0.6009109856041475   accuracy 0.7920454545454545   precision 0.6308141321044547   recall 0.5898130336471938
deviation 2/5   iterations 1000/2000   F1 0.6042852624920937   accuracy 0.7931818181818182   precision 0.6355760368663594   recall 0.59265480259677
deviation 2/5   iterations 1010/2000   F1 0.6014492753623188   accuracy 0.7818181818181819   precision 0.6414746543778802   recall 0.5902580144412823
deviation 2/5   iterations 1020/2000   F1 0.5886038963957889   accuracy 0.7636363636363637   precision 0.6352688172043011   recall 0.5806534338616197
deviation 2/5   iterations 1030/2000   F1 0.5910621533333791   accuracy 0.7693181818181818   precision 0.6343778801843318   recall 0.5821661507018123
deviation 2/5   iterations 1040/2000   F1 0.6164102564102565   accuracy 0.8068181818181818   precision 0.6433179723502304   recall 0.6037819799777531
deviation 2/5   iterations 1050/2000   F1 0.6223576158940398   accuracy 0.8159090909090909   precision 0.6443625192012289   recall 0.6102275392915787
update
deviation 2/5   iterations 1060/2000   F1 0.5889631872293979   accuracy 0.7806818181818181   precision 0.6202457757296467   recall 0.5796538699488782
deviation 2/5   iterations 1070/2000   F1 0.5955716929059021   accuracy 0.7829545454545455   precision 0.6297695852534562   recall 0.5852272727272727
deviation 2/5   iterations 1080/2000   F1 0.6023224057136682   accuracy 0.7909090909090909   precision 0.6342857142857142   recall 0.590942001847552
deviation 2/5   iterations 1090/2000   F1 0.6122994652406416   accuracy 0.8022727272727272   precision 0.64073732718894   recall 0.5999005574019313
deviation 2/5   iterations 1100/2000   F1 0.5951225805823399   accuracy 0.7852272727272728   precision 0.6269431643625192   recall 0.5848278806989884
deviation 2/5   iterations 1110/2000   F1 0.6177874174699997   accuracy 0.8193181818181818   precision 0.6339477726574501   recall 0.607724541429475
deviation 2/5   iterations 1120/2000   F1 0.6149853341307009   accuracy 0.8079545454545455   precision 0.6398463901689708   recall 0.6028412377096588
deviation 2/5   iterations 1130/2000   F1 0.5901369863013699   accuracy 0.7681818181818182   precision 0.6337327188940092   recall 0.5814710836608648
deviation 2/5   iterations 1140/2000   F1 0.6124812715783988   accuracy 0.8079545454545455   precision 0.6357296466973886   recall 0.6008675799086758
deviation 2/5   iterations 1150/2000   F1 0.591793041926851   accuracy 0.7784090909090909   precision 0.6271889400921659   recall 0.5821428571428571
deviation 2/5   iterations 1160/2000   F1 0.6212895271135471   accuracy 0.8147727272727273   precision 0.6437173579109063   recall 0.6091317979918629
deviation 2/5   iterations 1170/2000   F1 0.6252078636902485   accuracy 0.821590909090909   precision 0.6434715821812595   recall 0.6140181257080355
update
deviation 2/5   iterations 1180/2000   F1 0.6013468013468013   accuracy 0.7897727272727273   precision 0.6336405529953917   recall 0.59009942004971
deviation 2/5   iterations 1190/2000   F1 0.5969311805794114   accuracy 0.7818181818181819   precision 0.6332411674347158   recall 0.5864088811673667
deviation 2/5   iterations 1200/2000   F1 0.6043532560214095   accuracy 0.7852272727272728   precision 0.643410138248848   recall 0.5926190476190476
deviation 2/5   iterations 1210/2000   F1 0.5927325470437802   accuracy 0.7795454545454545   precision 0.6278341013824885   recall 0.5829023183162123
deviation 2/5   iterations 1220/2000   F1 0.6079758319924244   accuracy 0.7920454545454545   precision 0.6431643625192013   recall 0.595667454999343
deviation 2/5   iterations 1230/2000   F1 0.6170672920330923   accuracy 0.8102272727272727   precision 0.641136712749616   recall 0.6048858447488584
deviation 2/5   iterations 1240/2000   F1 0.6063787096889626   accuracy 0.8011363636363636   precision 0.6318586789554532   recall 0.5950028332625018
deviation 2/5   iterations 1250/2000   F1 0.589414355567168   accuracy 0.7727272727272727   precision 0.6280798771121352   recall 0.5804261098378746
deviation 2/5   iterations 1260/2000   F1 0.6135144461523983   accuracy 0.8090909090909091   precision 0.6363748079877112   recall 0.6018876412747087
deviation 2/5   iterations 1270/2000   F1 0.6083949181883892   accuracy 0.803409090909091   precision 0.6331490015360983   recall 0.5969106650924833
deviation 2/5   iterations 1280/2000   F1 0.5931461352657004   accuracy 0.7772727272727272   precision 0.6306605222734255   recall 0.5833588133374101
deviation 2/5   iterations 1290/2000   F1 0.6018801806568363   accuracy 0.7988636363636363   precision 0.6264516129032258   recall 0.5911070973225669
deviation 2/5   iterations 1300/2000   F1 0.6083708609271523   accuracy 0.8090909090909091   precision 0.6281413210445469   recall 0.5978418953788411
deviation 2/5   iterations 1310/2000   F1 0.5979554489808797   accuracy 0.7943181818181818   precision 0.6238709677419355   recall 0.5875
deviation 2/5   iterations 1320/2000   F1 0.5803001644832504   accuracy 0.7670454545454546   precision 0.616620583717358   recall 0.5729461320870741
deviation 2/5   iterations 1330/2000   F1 0.6068404114343409   accuracy 0.7988636363636363   precision 0.6346850998463902   recall 0.5951388888888889
deviation 2/5   iterations 1340/2000   F1 0.6119295724038807   accuracy 0.8159090909090909   precision 0.6278955453149002   recall 0.6022438133037302
deviation 2/5   iterations 1350/2000   F1 0.6057347670250895   accuracy 0.8090909090909091   precision 0.6240245775729647   recall 0.5957624465087151
deviation 2/5   iterations 1360/2000   F1 0.6119295724038807   accuracy 0.8159090909090909   precision 0.6278955453149002   recall 0.6022438133037302
deviation 2/5   iterations 1370/2000   F1 0.6104284007509815   accuracy 0.8113636363636364   precision 0.629431643625192   recall 0.599937376056779
deviation 2/5   iterations 1380/2000   F1 0.6134169669469283   accuracy 0.8204545454545454   precision 0.6263594470046083   recall 0.6047962168387366
deviation 2/5   iterations 1390/2000   F1 0.6073846153846154   accuracy 0.8022727272727272   precision 0.6325038402457757   recall 0.5959510567296996
deviation 2/5   iterations 1400/2000   F1 0.5965493570315152   accuracy 0.7897727272727273   precision 0.6254070660522273   recall 0.5861007053423779
deviation 2/5   iterations 1410/2000   F1 0.6028717948717949   accuracy 0.8   precision 0.6270967741935485   recall 0.592035595105673
deviation 2/5   iterations 1420/2000   F1 0.614602707729573   accuracy 0.8159090909090909   precision 0.6320122887864823   recall 0.6042971290983408
deviation 2/5   iterations 1430/2000   F1 0.6074813478837847   accuracy 0.8170454545454545   precision 0.6203072196620584   recall 0.5991532976827094
deviation 2/5   iterations 1440/2000   F1 0.6003261800803064   accuracy 0.8   precision 0.6229800307219662   recall 0.589970421914754
deviation 2/5   iterations 1450/2000   F1 0.6018891374596073   accuracy 0.7931818181818182   precision 0.6314592933947772   recall 0.5906759906759906
deviation 2/5   iterations 1460/2000   F1 0.6056950185390553   accuracy 0.8181818181818182   precision 0.6168356374807988   recall 0.5981378833390105
deviation 2/5   iterations 1470/2000   F1 0.6014131714829242   accuracy 0.7954545454545454   precision 0.6286328725038403   recall 0.5904249345623235
deviation 2/5   iterations 1480/2000   F1 0.5973816516247102   accuracy 0.7965909090909091   precision 0.6210445468509984   recall 0.5872113613826321
deviation 2/5   iterations 1490/2000   F1 0.5944741532976827   accuracy 0.7931818181818182   precision 0.6191090629800308   recall 0.5845480159457078
deviation 2/5   iterations 1500/2000   F1 0.6088098605778945   accuracy 0.8125   precision 0.6259600614439325   recall 0.5989382239382239
deviation 2/5   iterations 1510/2000   F1 0.6074182652475941   accuracy 0.8329545454545455   precision 0.6087557603686635   recall 0.6061456534254461
deviation 2/5   iterations 1520/2000   F1 0.6059315628395974   accuracy 0.821590909090909   precision 0.6146543778801843   recall 0.59952636968766
deviation 2/5   iterations 1530/2000   F1 0.5916511215673173   accuracy 0.7727272727272727   precision 0.6321966205837174   recall 0.582370462254688
deviation 2/5   iterations 1540/2000   F1 0.6048679280339393   accuracy 0.8022727272727272   precision 0.6283870967741936   recall 0.5939261536801791
deviation 2/5   iterations 1550/2000   F1 0.6089134276542125   accuracy 0.8068181818181818   precision 0.6309677419354839   recall 0.5978479420486784
deviation 2/5   iterations 1560/2000   F1 0.618100761431333   accuracy 0.8375   precision 0.6195698924731182   recall 0.6167002494722702
deviation 2/5   iterations 1570/2000   F1 0.6260114832044587   accuracy 0.8306818181818182   precision 0.6362826420890937   recall 0.6183009045912272
update
deviation 2/5   iterations 1580/2000   F1 0.6058725609740312   accuracy 0.803409090909091   precision 0.6290322580645161   recall 0.5948886639676113
deviation 2/5   iterations 1590/2000   F1 0.6125055041831792   accuracy 0.8136363636363636   precision 0.6307219662058372   recall 0.6020883117880209
deviation 2/5   iterations 1600/2000   F1 0.6150957721604647   accuracy 0.8193181818181818   precision 0.6298310291858679   recall 0.605688047697171
deviation 2/5   iterations 1610/2000   F1 0.6144878704218228   accuracy 0.8306818181818182   precision 0.6198156682027649   recall 0.6100153457302763
deviation 2/5   iterations 1620/2000   F1 0.6335034924261355   accuracy 0.8409090909090909   precision 0.6379723502304148   recall 0.6295415998430848
update
deviation 2/5   iterations 1630/2000   F1 0.6108845973344619   accuracy 0.8147727272727273   precision 0.6272503840245776   recall 0.6011269971483261
deviation 2/5   iterations 1640/2000   F1 0.6008927934446947   accuracy 0.7977272727272727   precision 0.6258064516129032   recall 0.590189497053149
deviation 2/5   iterations 1650/2000   F1 0.5987232102143183   accuracy 0.8011363636363636   precision 0.6195084485407065   recall 0.5888127853881279
deviation 2/5   iterations 1660/2000   F1 0.6196625298792482   accuracy 0.8329545454545455   precision 0.6252227342549923   recall 0.6149801408196425
deviation 2/5   iterations 1670/2000   F1 0.620034542314335   accuracy 0.8363636363636363   precision 0.6230414746543779   recall 0.6172987031244508
deviation 2/5   iterations 1680/2000   F1 0.6254505971769816   accuracy 0.8329545454545455   precision 0.6334562211981567   recall 0.6190789473684211
deviation 2/5   iterations 1690/2000   F1 0.6098447164669752   accuracy 0.8136363636363636   precision 0.626605222734255   recall 0.6000252429635239
deviation 2/5   iterations 1700/2000   F1 0.6077799615512668   accuracy 0.8113636363636364   precision 0.6253149001536098   recall 0.5978656225107727
deviation 2/5   iterations 1710/2000   F1 0.6018801806568363   accuracy 0.7988636363636363   precision 0.6264516129032258   recall 0.5911070973225669
deviation 2/5   iterations 1720/2000   F1 0.6203635429064464   accuracy 0.8397727272727272   precision 0.6208602150537634   recall 0.6198747013797474
deviation 2/5   iterations 1730/2000   F1 0.6023475865373099   accuracy 0.8113636363636364   precision 0.6170814132104455   recall 0.5935986482105491
deviation 2/5   iterations 1740/2000   F1 0.6027025100393654   accuracy 0.8056818181818182   precision 0.6220890937019969   recall 0.5927083722145496
deviation 2/5   iterations 1750/2000   F1 0.6081720065887418   accuracy 0.8147727272727273   precision 0.6231336405529955   recall 0.599027514231499
deviation 2/5   iterations 1760/2000   F1 0.5960878220478347   accuracy 0.8011363636363636   precision 0.6153917050691244   recall 0.5866747895436419
deviation 2/5   iterations 1770/2000   F1 0.6155844155844156   accuracy 0.8318181818181818   precision 0.6204608294930876   recall 0.6114236999147485
deviation 2/5   iterations 1780/2000   F1 0.6123133119961721   accuracy 0.8284090909090909   precision 0.6185253456221198   recall 0.6072667823301748
deviation 2/5   iterations 1790/2000   F1 0.599561403508772   accuracy 0.8113636363636364   precision 0.6129646697388633   recall 0.5913994531444196
deviation 2/5   iterations 1800/2000   F1 0.6064444174516062   accuracy 0.8159090909090909   precision 0.6196620583717358   recall 0.5980110919869956
deviation 2/5   iterations 1810/2000   F1 0.6174202328746409   accuracy 0.8431818181818181   precision 0.6145622119815668   recall 0.6205719163465643
deviation 2/5   iterations 1820/2000   F1 0.6074544012688343   accuracy 0.8363636363636363   precision 0.6065745007680492   recall 0.6083642588496958
deviation 2/5   iterations 1830/2000   F1 0.5838860645283317   accuracy 0.7897727272727273   precision 0.6048233486943164   recall 0.5755241535628276
deviation 2/5   iterations 1840/2000   F1 0.6030881336473014   accuracy 0.825   precision 0.6083563748079878   recall 0.5987722776713602
deviation 2/5   iterations 1850/2000   F1 0.6037086092715233   accuracy 0.8068181818181818   precision 0.6227342549923195   recall 0.5937133474079287
deviation 2/5   iterations 1860/2000   F1 0.6069808987220009   accuracy 0.8227272727272728   precision 0.615299539170507   recall 0.600766826690724
deviation 2/5   iterations 1870/2000   F1 0.6328444827856639   accuracy 0.8488636363636364   precision 0.6301382488479262   recall 0.6357692307692308
deviation 2/5   iterations 1880/2000   F1 0.628783257615072   accuracy 0.8420454545454545   precision 0.630384024577573   recall 0.6272548455190943
deviation 2/5   iterations 1890/2000   F1 0.6230321636383108   accuracy 0.8363636363636363   precision 0.6271582181259601   recall 0.619388261356163
deviation 2/5   iterations 1900/2000   F1 0.6113031283472654   accuracy 0.8181818181818182   precision 0.6250691244239631   recall 0.6024398345260742
deviation 2/5   iterations 1910/2000   F1 0.6130934420717777   accuracy 0.8261363636363637   precision 0.6213517665130569   recall 0.6067844629958044
deviation 2/5   iterations 1920/2000   F1 0.6169796036802844   accuracy 0.8363636363636363   precision 0.6189247311827957   recall 0.6151548685729245
deviation 2/5   iterations 1930/2000   F1 0.6292624900872323   accuracy 0.8454545454545455   precision 0.6282027649769586   recall 0.6303557371518537
deviation 2/5   iterations 1940/2000   F1 0.6112351190476191   accuracy 0.8272727272727273   precision 0.6178801843317973   recall 0.6059254187877516
deviation 2/5   iterations 1950/2000   F1 0.6174482350160905   accuracy 0.8306818181818182   precision 0.6239324116743472   recall 0.6121602384447706
deviation 2/5   iterations 1960/2000   F1 0.6174482350160905   accuracy 0.8306818181818182   precision 0.6239324116743472   recall 0.6121602384447706
deviation 2/5   iterations 1970/2000   F1 0.6152587766920015   accuracy 0.8284090909090909   precision 0.622642089093702   recall 0.6094298245614036
deviation 2/5   iterations 1980/2000   F1 0.6229648671808055   accuracy 0.8454545454545455   precision 0.6199692780337942   recall 0.6262626262626263
deviation 2/5   iterations 1990/2000   F1 0.6144878704218228   accuracy 0.8306818181818182   precision 0.6198156682027649   recall 0.6100153457302763
deviation 2/5   iterations 2000/2000   F1 0.6155844155844156   accuracy 0.8318181818181818   precision 0.6204608294930876   recall 0.6114236999147485

deviation 3/5   iterations 10/2000   F1 0.5159070700293449   accuracy 0.6534090909090909   precision 0.5891551459293395   recall 0.5413051399421557
update
deviation 3/5   iterations 20/2000   F1 0.3395245161007504   accuracy 0.35795454545454547   precision 0.5490322580645162   recall 0.5252123142250531
deviation 3/5   iterations 30/2000   F1 0.39675322418048464   accuracy 0.43977272727272726   precision 0.5625499231950845   recall 0.5277233115468409
deviation 3/5   iterations 40/2000   F1 0.4597085680745888   accuracy 0.5352272727272728   precision 0.5961597542242704   recall 0.5404259056436114
deviation 3/5   iterations 50/2000   F1 0.46699134199134196   accuracy 0.5522727272727272   precision 0.5893701996927803   recall 0.5376207251527332
deviation 3/5   iterations 60/2000   F1 0.4650243476241973   accuracy 0.5477272727272727   precision 0.5909062980030722   recall 0.5382341235999772
deviation 3/5   iterations 70/2000   F1 0.5004954360821833   accuracy 0.6068181818181818   precision 0.6079877112135177   recall 0.5466034503789264
deviation 3/5   iterations 80/2000   F1 0.47860158112377665   accuracy 0.5625   precision 0.6116436251920123   recall 0.5470053188186842
deviation 3/5   iterations 90/2000   F1 0.5485734659574623   accuracy 0.6795454545454546   precision 0.6410445468509984   recall 0.5658570453124013
update
deviation 3/5   iterations 100/2000   F1 0.5023187422237303   accuracy 0.5965909090909091   precision 0.6309984639016897   recall 0.5557251589160255
deviation 3/5   iterations 110/2000   F1 0.5327172313115431   accuracy 0.6511363636363636   precision 0.6372657450076805   recall 0.5613952159000968
deviation 3/5   iterations 120/2000   F1 0.5268945993031359   accuracy 0.6409090909090909   precision 0.6355760368663594   recall 0.559897063374432
deviation 3/5   iterations 130/2000   F1 0.5215120796516145   accuracy 0.6238636363636364   precision 0.6464823348694317   recall 0.5632642663043478
deviation 3/5   iterations 140/2000   F1 0.5529990842490843   accuracy 0.6772727272727272   precision 0.656221198156682   recall 0.5718386744952221
update
deviation 3/5   iterations 150/2000   F1 0.5853762414331596   accuracy 0.7397727272727272   precision 0.6546543778801843   recall 0.5823647215895704
update
deviation 3/5   iterations 160/2000   F1 0.5628843253277642   accuracy 0.6886363636363636   precision 0.6667895545314899   recall 0.5776321132979849
deviation 3/5   iterations 170/2000   F1 0.5320731382052497   accuracy 0.6443181818181818   precision 0.6457450076804916   recall 0.5643222839291913
deviation 3/5   iterations 180/2000   F1 0.5524821783737122   accuracy 0.6806818181818182   precision 0.6499231950844855   recall 0.569672880116959
deviation 3/5   iterations 190/2000   F1 0.5653462412328362   accuracy 0.7045454545454546   precision 0.6511213517665131   recall 0.5736240578096281
deviation 3/5   iterations 200/2000   F1 0.5922371916054464   accuracy 0.7579545454545454   precision 0.6485099846390169   recall 0.5847927366618956
update
deviation 3/5   iterations 210/2000   F1 0.5628051948051949   accuracy 0.7011363636363637   precision 0.6491858678955453   recall 0.5722619047619047
deviation 3/5   iterations 220/2000   F1 0.5443722846777443   accuracy 0.6715909090909091   precision 0.6406451612903226   recall 0.5647707979626485
deviation 3/5   iterations 230/2000   F1 0.584482985153068   accuracy 0.7386363636363636   precision 0.6540092165898617   recall 0.5818053642647798
deviation 3/5   iterations 240/2000   F1 0.554665460731744   accuracy 0.6795454545454546   precision 0.6575115207373272   recall 0.5726455035451345
deviation 3/5   iterations 250/2000   F1 0.5470061894864817   accuracy 0.6670454545454545   precision 0.6545314900153609   recall 0.5699870878692759
deviation 3/5   iterations 260/2000   F1 0.5737604881769641   accuracy 0.7113636363636363   precision 0.6632258064516129   recall 0.5798347107438017
deviation 3/5   iterations 270/2000   F1 0.5625296842976764   accuracy 0.6943181818181818   precision 0.6576651305683564   recall 0.574725095517659
deviation 3/5   iterations 280/2000   F1 0.5694545454545454   accuracy 0.7056818181818182   precision 0.6599999999999999   recall 0.5775
deviation 3/5   iterations 290/2000   F1 0.5713309265944645   accuracy 0.7125   precision 0.6556374807987712   recall 0.5768973891924711
deviation 3/5   iterations 300/2000   F1 0.5618018446537001   accuracy 0.6954545454545454   precision 0.6541935483870968   recall 0.5734635448685297
deviation 3/5   iterations 310/2000   F1 0.583627793851463   accuracy 0.7329545454545454   precision 0.6590168970814132   recall 0.5825592078399346
deviation 3/5   iterations 320/2000   F1 0.5860479337676694   accuracy 0.7272727272727273   precision 0.672258064516129   recall 0.5867639685811376
deviation 3/5   iterations 330/2000   F1 0.5396213864020621   accuracy 0.6568181818181819   precision 0.6487250384024577   recall 0.5666000803438276
deviation 3/5   iterations 340/2000   F1 0.5506785506337618   accuracy 0.6761363636363636   precision 0.6514592933947773   recall 0.5697509903791738
deviation 3/5   iterations 350/2000   F1 0.5913194444444444   accuracy 0.7568181818181818   precision 0.6478648233486943   recall 0.5841580695925861
deviation 3/5   iterations 360/2000   F1 0.58987674664403   accuracy 0.7454545454545455   precision 0.6578801843317972   recall 0.5852233152682238
deviation 3/5   iterations 370/2000   F1 0.5827355623100303   accuracy 0.7340909090909091   precision 0.6555453149001536   recall 0.5813594729230275
deviation 3/5   iterations 380/2000   F1 0.5518724492412752   accuracy 0.6840909090909091   precision 0.6436251920122888   recall 0.5674988882536053
deviation 3/5   iterations 390/2000   F1 0.5506785506337618   accuracy 0.6761363636363636   precision 0.6514592933947773   recall 0.5697509903791738
deviation 3/5   iterations 400/2000   F1 0.5765266063875591   accuracy 0.7193181818181819   precision 0.6595084485407066   recall 0.5798160173160173
deviation 3/5   iterations 410/2000   F1 0.5509478436307705   accuracy 0.6806818181818182   precision 0.6458064516129032   recall 0.5679724558307936
deviation 3/5   iterations 420/2000   F1 0.5835322466980382   accuracy 0.7397727272727272   precision 0.6505376344086021   recall 0.5806005895357406
deviation 3/5   iterations 430/2000   F1 0.5799866851026784   accuracy 0.7352272727272727   precision 0.6479569892473118   recall 0.5783854166666667
deviation 3/5   iterations 440/2000   F1 0.5653898502819366   accuracy 0.7113636363636363   precision 0.642642089093702   recall 0.5712225801503298
deviation 3/5   iterations 450/2000   F1 0.5713368286480607   accuracy 0.7215909090909091   precision 0.6443317972350231   recall 0.5738660662624839
deviation 3/5   iterations 460/2000   F1 0.5701865780990525   accuracy 0.7272727272727273   precision 0.6352073732718894   recall 0.5710797139368569
deviation 3/5   iterations 470/2000   F1 0.5654019183430948   accuracy 0.7090909090909091   precision 0.645468509984639   recall 0.5720222196533199
deviation 3/5   iterations 480/2000   F1 0.5721925133689839   accuracy 0.7136363636363636   precision 0.6562826420890937   recall 0.5773763529834083
deviation 3/5   iterations 490/2000   F1 0.5645535499398315   accuracy 0.7079545454545455   precision 0.6448233486943165   recall 0.5715543412264724
deviation 3/5   iterations 500/2000   F1 0.5628108689426219   accuracy 0.7102272727272727   precision 0.6378801843317972   recall 0.5689935064935064
deviation 3/5   iterations 510/2000   F1 0.5586000374321543   accuracy 0.6954545454545454   precision 0.6459600614439325   recall 0.5700427539436828
deviation 3/5   iterations 520/2000   F1 0.5696173958842783   accuracy 0.7193181818181819   precision 0.6430414746543779   recall 0.5728665865384616
deviation 3/5   iterations 530/2000   F1 0.5576008352991222   accuracy 0.6897727272727273   precision 0.6509677419354838   recall 0.5713066796684544
deviation 3/5   iterations 540/2000   F1 0.5627436539500172   accuracy 0.7125   precision 0.6350537634408602   recall 0.5681761786600497
deviation 3/5   iterations 550/2000   F1 0.5969722285511759   accuracy 0.7738636363636363   precision 0.6410752688172043   recall 0.586906492248062
update
deviation 3/5   iterations 560/2000   F1 0.5762577007888336   accuracy 0.7352272727272727   precision 0.6397235023041474   recall 0.5748105063690915
deviation 3/5   iterations 570/2000   F1 0.5727761560915656   accuracy 0.7306818181818182   precision 0.6371428571428571   recall 0.57265625
deviation 3/5   iterations 580/2000   F1 0.588582163994045   accuracy 0.7534090909090909   precision 0.6459293394777266   recall 0.5822847085562238
deviation 3/5   iterations 590/2000   F1 0.5413233099000708   accuracy 0.6829545454545455   precision 0.6182795698924731   recall 0.5566563066563066
deviation 3/5   iterations 600/2000   F1 0.5701865780990525   accuracy 0.7272727272727273   precision 0.6352073732718894   recall 0.5710797139368569
deviation 3/5   iterations 610/2000   F1 0.5912397216951297   accuracy 0.7863636363636364   precision 0.6193548387096774   recall 0.581568979852357
deviation 3/5   iterations 620/2000   F1 0.5960779717957733   accuracy 0.7863636363636364   precision 0.6275883256528418   recall 0.5856366350761719
deviation 3/5   iterations 630/2000   F1 0.5800842006076458   accuracy 0.7306818181818182   precision 0.6536098310291859   recall 0.5797519395671703
deviation 3/5   iterations 640/2000   F1 0.5894919617481146   accuracy 0.7545454545454545   precision 0.6465745007680491   recall 0.582904129393693
deviation 3/5   iterations 650/2000   F1 0.5959797799583706   accuracy 0.7806818181818181   precision 0.6325960061443933   recall 0.5856349206349206
deviation 3/5   iterations 660/2000   F1 0.5606836750037592   accuracy 0.7170454545454545   precision 0.625284178187404   recall 0.5647301587301587
deviation 3/5   iterations 670/2000   F1 0.5679448233772991   accuracy 0.7147727272727272   precision 0.6445775729646698   recall 0.5726611329331258
deviation 3/5   iterations 680/2000   F1 0.5695498441714533   accuracy 0.7215909090909091   precision 0.6402150537634408   recall 0.5720983722576078
deviation 3/5   iterations 690/2000   F1 0.593222636066399   accuracy 0.7829545454545455   precision 0.6256528417818741   recall 0.5832356484647194
deviation 3/5   iterations 700/2000   F1 0.5969311805794114   accuracy 0.7818181818181819   precision 0.6332411674347158   recall 0.5864088811673667
deviation 3/5   iterations 710/2000   F1 0.6013468013468013   accuracy 0.7897727272727273   precision 0.6336405529953917   recall 0.59009942004971
update
deviation 3/5   iterations 720/2000   F1 0.6073492643079108   accuracy 0.8079545454545455   precision 0.6274961597542242   recall 0.596814228658878
update
deviation 3/5   iterations 730/2000   F1 0.6089134276542125   accuracy 0.8068181818181818   precision 0.6309677419354839   recall 0.5978479420486784
update
deviation 3/5   iterations 740/2000   F1 0.6102706565610814   accuracy 0.8   precision 0.639447004608295   recall 0.5980269352706917
update
deviation 3/5   iterations 750/2000   F1 0.5916345155816003   accuracy 0.7647727272727273   precision 0.6400307219662058   recall 0.5832019042612226
deviation 3/5   iterations 760/2000   F1 0.5790133537887974   accuracy 0.7363636363636363   precision 0.6444854070660522   recall 0.5771535064406691
deviation 3/5   iterations 770/2000   F1 0.5935202120114964   accuracy 0.775   precision 0.6334869431643625   recall 0.5838214073508191
deviation 3/5   iterations 780/2000   F1 0.5885339135081492   accuracy 0.7772727272727272   precision 0.6224270353302611   recall 0.579395755465058
deviation 3/5   iterations 790/2000   F1 0.5910621533333791   accuracy 0.7693181818181818   precision 0.6343778801843318   recall 0.5821661507018123
deviation 3/5   iterations 800/2000   F1 0.5897947127455324   accuracy 0.7704545454545455   precision 0.6309062980030722   recall 0.5809466637284478
deviation 3/5   iterations 810/2000   F1 0.6008927934446947   accuracy 0.7977272727272727   precision 0.6258064516129032   recall 0.590189497053149
deviation 3/5   iterations 820/2000   F1 0.6058725609740312   accuracy 0.803409090909091   precision 0.6290322580645161   recall 0.5948886639676113
deviation 3/5   iterations 830/2000   F1 0.6060009825774022   accuracy 0.7897727272727273   precision 0.6418740399385561   recall 0.5939809840122432
deviation 3/5   iterations 840/2000   F1 0.6052726141767797   accuracy 0.7943181818181818   precision 0.636221198156682   recall 0.5935253619520097
deviation 3/5   iterations 850/2000   F1 0.6041094758490254   accuracy 0.7772727272727272   precision 0.6512442396313364   recall 0.5928230422879381
deviation 3/5   iterations 860/2000   F1 0.6069864755968505   accuracy 0.7909090909090909   precision 0.6425192012288786   recall 0.5948197627359764
deviation 3/5   iterations 870/2000   F1 0.5960779717957733   accuracy 0.7863636363636364   precision 0.6275883256528418   recall 0.5856366350761719
deviation 3/5   iterations 880/2000   F1 0.6073846153846154   accuracy 0.8022727272727272   precision 0.6325038402457757   recall 0.5959510567296996
deviation 3/5   iterations 890/2000   F1 0.6017415337404011   accuracy 0.7875   precision 0.6364669738863287   recall 0.590399205496402
deviation 3/5   iterations 900/2000   F1 0.6053284476506737   accuracy 0.7863636363636364   precision 0.6440552995391705   recall 0.5934220068696754
deviation 3/5   iterations 910/2000   F1 0.6010411332991978   accuracy 0.8068181818181818   precision 0.6186175115207373   recall 0.5915875169606513
deviation 3/5   iterations 920/2000   F1 0.6009109856041475   accuracy 0.7920454545454545   precision 0.6308141321044547   recall 0.5898130336471938
deviation 3/5   iterations 930/2000   F1 0.5959356291536222   accuracy 0.7625   precision 0.6510906298003072   recall 0.5873845060412224
deviation 3/5   iterations 940/2000   F1 0.6009109856041475   accuracy 0.7920454545454545   precision 0.6308141321044547   recall 0.5898130336471938
deviation 3/5   iterations 950/2000   F1 0.5979175897208684   accuracy 0.775   precision 0.6417204301075269   recall 0.5876336446325581
deviation 3/5   iterations 960/2000   F1 0.5944596108814703   accuracy 0.7761363636363636   precision 0.6341321044546852   recall 0.5845573425056552
deviation 3/5   iterations 970/2000   F1 0.5955882352941175   accuracy 0.7886363636363637   precision 0.6247619047619047   recall 0.5852642541004947
deviation 3/5   iterations 980/2000   F1 0.5969844289438455   accuracy 0.7931818181818182   precision 0.623225806451613   recall 0.5866239342081393
deviation 3/5   iterations 990/2000   F1 0.6133204304680336   accuracy 0.803409090909091   precision 0.6413824884792627   recall 0.6008538167537432
update
deviation 3/5   iterations 1000/2000   F1 0.6067549523562326   accuracy 0.8102272727272727   precision 0.6246697388632872   recall 0.5968071300431315
deviation 3/5   iterations 1010/2000   F1 0.6149853341307009   accuracy 0.8079545454545455   precision 0.6398463901689708   recall 0.6028412377096588
update
deviation 3/5   iterations 1020/2000   F1 0.6000414630062274   accuracy 0.8056818181818182   precision 0.6179723502304147   recall 0.5905797101449275
deviation 3/5   iterations 1030/2000   F1 0.6030544189193543   accuracy 0.8090909090909091   precision 0.6199078341013825   recall 0.5936429332335244
deviation 3/5   iterations 1040/2000   F1 0.6038573886599176   accuracy 0.7954545454545454   precision 0.6327496159754225   recall 0.5924309708995388
deviation 3/5   iterations 1050/2000   F1 0.6089134276542125   accuracy 0.8068181818181818   precision 0.6309677419354839   recall 0.5978479420486784
deviation 3/5   iterations 1060/2000   F1 0.6061101752158663   accuracy 0.8125   precision 0.6218433179723503   recall 0.5968299542950897
deviation 3/5   iterations 1070/2000   F1 0.6094096759875721   accuracy 0.8045454545454546   precision 0.6337941628264209   recall 0.5978818854456042
deviation 3/5   iterations 1080/2000   F1 0.5974820849034   accuracy 0.7852272727272728   precision 0.6310599078341014   recall 0.5868174269805607
deviation 3/5   iterations 1090/2000   F1 0.6033018763348286   accuracy 0.7920454545454545   precision 0.6349308755760369   recall 0.5917937399678973
deviation 3/5   iterations 1100/2000   F1 0.6018891374596073   accuracy 0.7931818181818182   precision 0.6314592933947772   recall 0.5906759906759906
deviation 3/5   iterations 1110/2000   F1 0.6051948051948053   accuracy 0.8272727272727273   precision 0.6096466973886329   recall 0.6014208581983518
deviation 3/5   iterations 1120/2000   F1 0.6109637488947834   accuracy 0.8090909090909091   precision 0.6322580645161291   recall 0.599883063730267
deviation 3/5   iterations 1130/2000   F1 0.6036300547177366   accuracy 0.8159090909090909   precision 0.6155453149001536   recall 0.595827515567831
deviation 3/5   iterations 1140/2000   F1 0.6071783889762539   accuracy 0.8261363636363637   precision 0.6131182795698925   recall 0.602373326215579
deviation 3/5   iterations 1150/2000   F1 0.6074813478837847   accuracy 0.8170454545454545   precision 0.6203072196620584   recall 0.5991532976827094
deviation 3/5   iterations 1160/2000   F1 0.6089134276542125   accuracy 0.8068181818181818   precision 0.6309677419354839   recall 0.5978479420486784
deviation 3/5   iterations 1170/2000   F1 0.5993404654297392   accuracy 0.7988636363636363   precision 0.6223348694316436   recall 0.5890397481306572
deviation 3/5   iterations 1180/2000   F1 0.5975142928163062   accuracy 0.7909090909090909   precision 0.62605222734255   recall 0.5869463869463869
deviation 3/5   iterations 1190/2000   F1 0.5937488902668548   accuracy 0.8079545454545455   precision 0.6069124423963134   recall 0.5859819734345351
deviation 3/5   iterations 1200/2000   F1 0.5864987262230418   accuracy 0.7897727272727273   precision 0.6089400921658986   recall 0.5777113503278516
deviation 3/5   iterations 1210/2000   F1 0.6003287339417795   accuracy 0.8090909090909091   precision 0.6157910906298003   recall 0.5914814706938902
deviation 3/5   iterations 1220/2000   F1 0.6013357530972707   accuracy 0.8102272727272727   precision 0.6164362519201229   recall 0.5925329114418532
deviation 3/5   iterations 1230/2000   F1 0.6020434659563356   accuracy 0.8238636363636364   precision 0.6077112135176651   recall 0.5974798701009831
deviation 3/5   iterations 1240/2000   F1 0.6051948051948053   accuracy 0.8272727272727273   precision 0.6096466973886329   recall 0.6014208581983518
deviation 3/5   iterations 1250/2000   F1 0.5924382131278683   accuracy 0.8   precision 0.6106298003072197   recall 0.5835491085929597
deviation 3/5   iterations 1260/2000   F1 0.6030544189193543   accuracy 0.8090909090909091   precision 0.6199078341013825   recall 0.5936429332335244
deviation 3/5   iterations 1270/2000   F1 0.5975142928163062   accuracy 0.7909090909090909   precision 0.62605222734255   recall 0.5869463869463869
deviation 3/5   iterations 1280/2000   F1 0.6050867252043773   accuracy 0.8113636363636364   precision 0.6211981566820277   recall 0.5957533568287071
deviation 3/5   iterations 1290/2000   F1 0.5958916026571668   accuracy 0.8170454545454545   precision 0.6038402457757297   recall 0.5901391022358764
deviation 3/5   iterations 1300/2000   F1 0.6026053397829622   accuracy 0.8147727272727273   precision 0.6149001536098311   recall 0.5946969696969697
deviation 3/5   iterations 1310/2000   F1 0.6029782379429354   accuracy 0.821590909090909   precision 0.6105376344086021   recall 0.5972684804706085
deviation 3/5   iterations 1320/2000   F1 0.5973816516247102   accuracy 0.7965909090909091   precision 0.6210445468509984   recall 0.5872113613826321
deviation 3/5   iterations 1330/2000   F1 0.6007039612244309   accuracy 0.803409090909091   precision 0.6207987711213517   recall 0.59073622803131
deviation 3/5   iterations 1340/2000   F1 0.5997113906578411   accuracy 0.8022727272727272   precision 0.6201536098310292   recall 0.5897685435966177
deviation 3/5   iterations 1350/2000   F1 0.5988663614562895   accuracy 0.8170454545454545   precision 0.6079569892473118   recall 0.5924697907456529
deviation 3/5   iterations 1360/2000   F1 0.6077799615512668   accuracy 0.8113636363636364   precision 0.6253149001536098   recall 0.5978656225107727
deviation 3/5   iterations 1370/2000   F1 0.6019421922953598   accuracy 0.8204545454545454   precision 0.6098924731182795   recall 0.5960412840588115
deviation 3/5   iterations 1380/2000   F1 0.6040681619182326   accuracy 0.8102272727272727   precision 0.620552995391705   recall 0.5946911196911198
deviation 3/5   iterations 1390/2000   F1 0.5958373940025317   accuracy 0.8136363636363636   precision 0.606021505376344   recall 0.5890543874317448
deviation 3/5   iterations 1400/2000   F1 0.5960878220478347   accuracy 0.8011363636363636   precision 0.6153917050691244   recall 0.5866747895436419
deviation 3/5   iterations 1410/2000   F1 0.5958373940025317   accuracy 0.8136363636363636   precision 0.606021505376344   recall 0.5890543874317448
deviation 3/5   iterations 1420/2000   F1 0.5977293316821397   accuracy 0.8125   precision 0.6094930875576037   recall 0.5902406417112299
deviation 3/5   iterations 1430/2000   F1 0.5979334340842792   accuracy 0.8227272727272728   precision 0.6029493087557604   recall 0.5938434654030984
deviation 3/5   iterations 1440/2000   F1 0.5958267032911677   accuracy 0.8238636363636364   precision 0.5994777265745008   recall 0.5927007466446796
deviation 3/5   iterations 1450/2000   F1 0.5924382131278683   accuracy 0.8   precision 0.6106298003072197   recall 0.5835491085929597
deviation 3/5   iterations 1460/2000   F1 0.6068816489361701   accuracy 0.8045454545454546   precision 0.6296774193548387   recall 0.5958629711389093
deviation 3/5   iterations 1470/2000   F1 0.6017415337404011   accuracy 0.7875   precision 0.6364669738863287   recall 0.590399205496402
deviation 3/5   iterations 1480/2000   F1 0.6020434659563356   accuracy 0.8238636363636364   precision 0.6077112135176651   recall 0.5974798701009831
deviation 3/5   iterations 1490/2000   F1 0.6020895060626613   accuracy 0.8272727272727273   precision 0.6055299539170507   recall 0.5990815843823194
deviation 3/5   iterations 1500/2000   F1 0.6030881336473014   accuracy 0.825   precision 0.6083563748079878   recall 0.5987722776713602
deviation 3/5   iterations 1510/2000   F1 0.6085027546194726   accuracy 0.8340909090909091   precision 0.6094009216589862   recall 0.607633809287761
deviation 3/5   iterations 1520/2000   F1 0.5909690102638737   accuracy 0.7920454545454545   precision 0.6143471582181259   recall 0.5815684280655002
deviation 3/5   iterations 1530/2000   F1 0.5894648449368527   accuracy 0.7784090909090909   precision 0.6230721966205838   recall 0.5801482121706841
deviation 3/5   iterations 1540/2000   F1 0.6023475865373099   accuracy 0.8113636363636364   precision 0.6170814132104455   recall 0.5935986482105491
deviation 3/5   iterations 1550/2000   F1 0.6105667193497404   accuracy 0.8329545454545455   precision 0.6128725038402458   recall 0.6084415584415584
deviation 3/5   iterations 1560/2000   F1 0.6020434659563356   accuracy 0.8238636363636364   precision 0.6077112135176651   recall 0.5974798701009831
deviation 3/5   iterations 1570/2000   F1 0.6061197916666666   accuracy 0.825   precision 0.6124731182795699   recall 0.6010667078920925
deviation 3/5   iterations 1580/2000   F1 0.5979206358785141   accuracy 0.8193181818181818   precision 0.6051305683563748   recall 0.5925104892080106
deviation 3/5   iterations 1590/2000   F1 0.6020434659563356   accuracy 0.8238636363636364   precision 0.6077112135176651   recall 0.5974798701009831
deviation 3/5   iterations 1600/2000   F1 0.6007662062707935   accuracy 0.8159090909090909   precision 0.6114285714285714   recall 0.5935961353853776
deviation 3/5   iterations 1610/2000   F1 0.5998863313441318   accuracy 0.8181818181818182   precision 0.6086021505376344   recall 0.5936423841059603
deviation 3/5   iterations 1620/2000   F1 0.6062569819159118   accuracy 0.8284090909090909   precision 0.6102918586789554   recall 0.6027781594979617
deviation 3/5   iterations 1630/2000   F1 0.6040197990100495   accuracy 0.8227272727272728   precision 0.6111827956989248   recall 0.5985147921906815
deviation 3/5   iterations 1640/2000   F1 0.609479946267511   accuracy 0.8318181818181818   precision 0.6122273425499232   recall 0.6069893039984067
deviation 3/5   iterations 1650/2000   F1 0.6062569819159118   accuracy 0.8284090909090909   precision 0.6102918586789554   recall 0.6027781594979617
deviation 3/5   iterations 1660/2000   F1 0.6028163928506951   accuracy 0.8181818181818182   precision 0.6127188940092165   recall 0.5959155503968379
deviation 3/5   iterations 1670/2000   F1 0.5937488902668548   accuracy 0.8079545454545455   precision 0.6069124423963134   recall 0.5859819734345351
deviation 3/5   iterations 1680/2000   F1 0.6172248803827751   accuracy 0.8397727272727272   precision 0.6167434715821812   recall 0.6177141157811261
update
deviation 3/5   iterations 1690/2000   F1 0.5918682847646286   accuracy 0.8090909090909091   precision 0.6034408602150537   recall 0.5847248643697597
deviation 3/5   iterations 1700/2000   F1 0.6023475865373099   accuracy 0.8113636363636364   precision 0.6170814132104455   recall 0.5935986482105491
deviation 3/5   iterations 1710/2000   F1 0.5987365986031408   accuracy 0.8136363636363636   precision 0.6101382488479263   recall 0.591343164932378
deviation 3/5   iterations 1720/2000   F1 0.6220512820512821   accuracy 0.8477272727272728   precision 0.6171428571428572   recall 0.6278243379148508
update
deviation 3/5   iterations 1730/2000   F1 0.6064444174516062   accuracy 0.8159090909090909   precision 0.6196620583717358   recall 0.5980110919869956
deviation 3/5   iterations 1740/2000   F1 0.6098891730605286   accuracy 0.8227272727272728   precision 0.6194162826420891   recall 0.6029668874172185
deviation 3/5   iterations 1750/2000   F1 0.6026053397829622   accuracy 0.8147727272727273   precision 0.6149001536098311   recall 0.5946969696969697
deviation 3/5   iterations 1760/2000   F1 0.606340148226959   accuracy 0.8318181818181818   precision 0.6081105990783411   recall 0.6046835397850998
deviation 3/5   iterations 1770/2000   F1 0.6059315628395974   accuracy 0.821590909090909   precision 0.6146543778801843   recall 0.59952636968766
deviation 3/5   iterations 1780/2000   F1 0.5998863313441318   accuracy 0.8181818181818182   precision 0.6086021505376344   recall 0.5936423841059603
deviation 3/5   iterations 1790/2000   F1 0.6185667144407427   accuracy 0.8443181818181819   precision 0.6152073732718895   recall 0.622331541312177
deviation 3/5   iterations 1800/2000   F1 0.6074813478837847   accuracy 0.8170454545454545   precision 0.6203072196620584   recall 0.5991532976827094
deviation 3/5   iterations 1810/2000   F1 0.609479946267511   accuracy 0.8318181818181818   precision 0.6122273425499232   recall 0.6069893039984067
deviation 3/5   iterations 1820/2000   F1 0.6174202328746409   accuracy 0.8431818181818181   precision 0.6145622119815668   recall 0.6205719163465643
deviation 3/5   iterations 1830/2000   F1 0.6030544189193543   accuracy 0.8090909090909091   precision 0.6199078341013825   recall 0.5936429332335244
deviation 3/5   iterations 1840/2000   F1 0.6125608348504861   accuracy 0.8318181818181818   precision 0.6163440860215054   recall 0.6092349228692412
deviation 3/5   iterations 1850/2000   F1 0.6152587766920015   accuracy 0.8284090909090909   precision 0.622642089093702   recall 0.6094298245614036
deviation 3/5   iterations 1860/2000   F1 0.6174202328746409   accuracy 0.8431818181818181   precision 0.6145622119815668   recall 0.6205719163465643
deviation 3/5   iterations 1870/2000   F1 0.6101628664495113   accuracy 0.8261363636363637   precision 0.6172350230414747   recall 0.6046052631578948
deviation 3/5   iterations 1880/2000   F1 0.6116821392334264   accuracy 0.821590909090909   precision 0.6228878648233487   recall 0.6038896276595744
deviation 3/5   iterations 1890/2000   F1 0.6177964992443984   accuracy 0.8340909090909091   precision 0.6217511520737327   recall 0.614311592112702
deviation 3/5   iterations 1900/2000   F1 0.6127595133394637   accuracy 0.8352272727272727   precision 0.6141628264208909   recall 0.6114229514488582
deviation 3/5   iterations 1910/2000   F1 0.6081720065887418   accuracy 0.8147727272727273   precision 0.6231336405529955   recall 0.599027514231499
deviation 3/5   iterations 1920/2000   F1 0.6117954460619635   accuracy 0.8375   precision 0.6113364055299539   recall 0.6122620935765266
deviation 3/5   iterations 1930/2000   F1 0.6071783889762539   accuracy 0.8261363636363637   precision 0.6131182795698925   recall 0.602373326215579
deviation 3/5   iterations 1940/2000   F1 0.6040197990100495   accuracy 0.8227272727272728   precision 0.6111827956989248   recall 0.5985147921906815
deviation 3/5   iterations 1950/2000   F1 0.6138154411535707   accuracy 0.8238636363636364   precision 0.6241781874039939   recall 0.6063639425708391
deviation 3/5   iterations 1960/2000   F1 0.6277180810559269   accuracy 0.8352272727272727   precision 0.6347465437788018   recall 0.6219471506739624
update
deviation 3/5   iterations 1970/2000   F1 0.6211635433130127   accuracy 0.8375   precision 0.6236866359447004   recall 0.6188311688311688
deviation 3/5   iterations 1980/2000   F1 0.6208821192306587   accuracy 0.8465909090909091   precision 0.6164976958525346   recall 0.6259566326530612
deviation 3/5   iterations 1990/2000   F1 0.6118755985684763   accuracy 0.8409090909090909   precision 0.6091551459293395   recall 0.6148812064305023
deviation 3/5   iterations 2000/2000   F1 0.6095937143364164   accuracy 0.8352272727272727   precision 0.6100460829493087   recall 0.6091487494515138

deviation 4/5   iterations 10/2000   F1 0.5917736199164991   accuracy 0.8193181818181818   precision 0.5968970814132104   recall 0.5876929578717914
update
deviation 4/5   iterations 20/2000   F1 0.49390722800779346   accuracy 0.5897727272727272   precision 0.6147772657450077   recall 0.5488248578119773
deviation 4/5   iterations 30/2000   F1 0.5269442608504076   accuracy 0.6534090909090909   precision 0.6179723502304147   recall 0.5535714285714286
deviation 4/5   iterations 40/2000   F1 0.40555026466744926   accuracy 0.44545454545454544   precision 0.5904761904761905   recall 0.540419761626343
deviation 4/5   iterations 50/2000   F1 0.5213001557829144   accuracy 0.6329545454545454   precision 0.6310599078341014   recall 0.5574932614555256
deviation 4/5   iterations 60/2000   F1 0.5103325210583879   accuracy 0.6045454545454545   precision 0.6437480798771121   recall 0.5612437761454249
deviation 4/5   iterations 70/2000   F1 0.535551395185317   accuracy 0.6511363636363636   precision 0.6454992319508448   recall 0.5647759103641457
deviation 4/5   iterations 80/2000   F1 0.5212311199772015   accuracy 0.6181818181818182   precision 0.6556067588325654   recall 0.5666872060628084
deviation 4/5   iterations 90/2000   F1 0.5705649133855948   accuracy 0.6988636363636364   precision 0.6725960061443932   recall 0.5815223700401663
deviation 4/5   iterations 100/2000   F1 0.5585304931099323   accuracy 0.675   precision 0.6755145929339478   recall 0.5793864744234649
deviation 4/5   iterations 110/2000   F1 0.5781525220919949   accuracy 0.7068181818181818   precision 0.6812288786482334   recall 0.5863441823429879
deviation 4/5   iterations 120/2000   F1 0.5796676441837731   accuracy 0.7068181818181818   precision 0.6853456221198156   recall 0.5879964293840687
deviation 4/5   iterations 130/2000   F1 0.557389517065182   accuracy 0.6715909090909091   precision 0.6776958525345622   recall 0.5798647932131495
deviation 4/5   iterations 140/2000   F1 0.5523512766438072   accuracy 0.6647727272727273   precision 0.6738248847926267   recall 0.5775646509179443
deviation 4/5   iterations 150/2000   F1 0.5453613818032755   accuracy 0.6534090909090909   precision 0.6714900153609831   recall 0.5755287826632893
deviation 4/5   iterations 160/2000   F1 0.5196235294117647   accuracy 0.6045454545454545   precision 0.6766820276497696   recall 0.5747368421052632
deviation 4/5   iterations 170/2000   F1 0.5666971479279055   accuracy 0.6897727272727273   precision 0.675668202764977   recall 0.581386213021794
deviation 4/5   iterations 180/2000   F1 0.5796676441837731   accuracy 0.7068181818181818   precision 0.6853456221198156   recall 0.5879964293840687
deviation 4/5   iterations 190/2000   F1 0.5856017274251717   accuracy 0.7204545454545455   precision 0.6807373271889401   recall 0.5887539149483136
deviation 4/5   iterations 200/2000   F1 0.5724744104491364   accuracy 0.7034090909090909   precision 0.6710599078341013   recall 0.5816441441441441
deviation 4/5   iterations 210/2000   F1 0.571612251116677   accuracy 0.7022727272727273   precision 0.6704147465437789   recall 0.5811919273532047
deviation 4/5   iterations 220/2000   F1 0.6006900442315082   accuracy 0.7477272727272727   precision 0.6797542242703534   recall 0.5949843830154742
update
deviation 4/5   iterations 230/2000   F1 0.6064071696094169   accuracy 0.7568181818181818   precision 0.6807987711213518   recall 0.5981363269498863
update
deviation 4/5   iterations 240/2000   F1 0.5647383805539337   accuracy 0.6852272727272727   precision 0.6772043010752689   recall 0.5813696280245576
deviation 4/5   iterations 250/2000   F1 0.5628843253277642   accuracy 0.6886363636363636   precision 0.6667895545314899   recall 0.5776321132979849
deviation 4/5   iterations 260/2000   F1 0.5769743217054264   accuracy 0.7113636363636363   precision 0.6714592933947773   recall 0.5832095849808264
deviation 4/5   iterations 270/2000   F1 0.567137405347879   accuracy 0.6943181818181818   precision 0.6700153609831029   recall 0.5797700592725847
deviation 4/5   iterations 280/2000   F1 0.5582196094153293   accuracy 0.678409090909091   precision 0.6692165898617511   recall 0.5772623215728522
deviation 4/5   iterations 290/2000   F1 0.5769743217054264   accuracy 0.7113636363636363   precision 0.6714592933947773   recall 0.5832095849808264
deviation 4/5   iterations 300/2000   F1 0.5795956977459036   accuracy 0.7147727272727272   precision 0.673394777265745   recall 0.5846410404069489
deviation 4/5   iterations 310/2000   F1 0.594407743124904   accuracy 0.7443181818181818   precision 0.6695852534562212   recall 0.58984375
deviation 4/5   iterations 320/2000   F1 0.5896268544645468   accuracy 0.7318181818181818   precision 0.6748387096774193   recall 0.5888602282166746
deviation 4/5   iterations 330/2000   F1 0.5989583333333333   accuracy 0.7613636363636364   precision 0.658678955453149   recall 0.59031299178178
deviation 4/5   iterations 340/2000   F1 0.6165446662658141   accuracy 0.7965909090909091   precision 0.653978494623656   recall 0.6028938378662462
update
deviation 4/5   iterations 350/2000   F1 0.5981240785651578   accuracy 0.7511363636363636   precision 0.6693394777265744   recall 0.5916613452532993
deviation 4/5   iterations 360/2000   F1 0.5917093680199711   accuracy 0.7431818181818182   precision 0.6648233486943165   recall 0.587549527085686
deviation 4/5   iterations 370/2000   F1 0.5809523809523809   accuracy 0.7272727272727273   precision 0.6599078341013824   recall 0.5816470588235294
deviation 4/5   iterations 380/2000   F1 0.5632352941176471   accuracy 0.6931818181818182   precision 0.6611367127496159   recall 0.5759814573373896
deviation 4/5   iterations 390/2000   F1 0.5792045390618094   accuracy 0.7295454545454545   precision 0.6529646697388634   recall 0.5792233911875713
deviation 4/5   iterations 400/2000   F1 0.5871695196526404   accuracy 0.7420454545454546   precision 0.6559447004608294   recall 0.5834956311190651
deviation 4/5   iterations 410/2000   F1 0.5898128279930241   accuracy 0.7363636363636363   precision 0.6691858678955453   recall 0.5876246666539374
deviation 4/5   iterations 420/2000   F1 0.588995555881879   accuracy 0.7397727272727272   precision 0.6628878648233487   recall 0.585850669706469
deviation 4/5   iterations 430/2000   F1 0.5988639152845472   accuracy 0.7636363636363637   precision 0.6558525345622119   recall 0.5898454933798057
deviation 4/5   iterations 440/2000   F1 0.5897435897435898   accuracy 0.75   precision 0.6522273425499232   recall 0.5840542832909245
deviation 4/5   iterations 450/2000   F1 0.5978017756247915   accuracy 0.7647727272727273   precision 0.6523809523809524   recall 0.58871336996337
deviation 4/5   iterations 460/2000   F1 0.5987391981867121   accuracy 0.7659090909090909   precision 0.6530261136712749   recall 0.5893863370444545
deviation 4/5   iterations 470/2000   F1 0.583627793851463   accuracy 0.7329545454545454   precision 0.6590168970814132   recall 0.5825592078399346
deviation 4/5   iterations 480/2000   F1 0.5781083032490975   accuracy 0.7170454545454545   precision 0.6664516129032259   recall 0.58224043715847
deviation 4/5   iterations 490/2000   F1 0.5827355623100303   accuracy 0.7340909090909091   precision 0.6555453149001536   recall 0.5813594729230275
deviation 4/5   iterations 500/2000   F1 0.5880149812734082   accuracy 0.7454545454545455   precision 0.6537634408602151   recall 0.5834617360041089
deviation 4/5   iterations 510/2000   F1 0.5862717442407146   accuracy 0.740909090909091   precision 0.6552995391705069   recall 0.5829281256767131
deviation 4/5   iterations 520/2000   F1 0.5934731934731936   accuracy 0.7522727272727273   precision 0.6576344086021506   recall 0.5870398642917727
deviation 4/5   iterations 530/2000   F1 0.6107401283497851   accuracy 0.7875   precision 0.6529339477726575   recall 0.5979643565603452
deviation 4/5   iterations 540/2000   F1 0.5985832349468713   accuracy 0.7681818181818182   precision 0.650199692780338   recall 0.5889355385611689
deviation 4/5   iterations 550/2000   F1 0.6068110948140142   accuracy 0.7829545454545455   precision 0.650353302611367   recall 0.5947832419199901
deviation 4/5   iterations 560/2000   F1 0.611897435897436   accuracy 0.8045454545454546   precision 0.6379109062980031   recall 0.5998665183537264
deviation 4/5   iterations 570/2000   F1 0.5974536645822771   accuracy 0.7693181818181818   precision 0.6467281105990783   recall 0.5877941176470588
deviation 4/5   iterations 580/2000   F1 0.6044268234574894   accuracy 0.7727272727272727   precision 0.6568970814132105   recall 0.593549190717986
deviation 4/5   iterations 590/2000   F1 0.5897947127455324   accuracy 0.7704545454545455   precision 0.6309062980030722   recall 0.5809466637284478
deviation 4/5   iterations 600/2000   F1 0.613057224816265   accuracy 0.7852272727272728   precision 0.6598771121351766   recall 0.6000030746525643
deviation 4/5   iterations 610/2000   F1 0.5960659503697145   accuracy 0.7602272727272728   precision 0.6539170506912442   recall 0.5878799360107771
deviation 4/5   iterations 620/2000   F1 0.5966786946497576   accuracy 0.7761363636363636   precision 0.6382488479262672   recall 0.5864746033698192
deviation 4/5   iterations 630/2000   F1 0.6188301959865062   accuracy 0.8068181818181818   precision 0.6474347158218126   recall 0.6056946022852411
update
deviation 4/5   iterations 640/2000   F1 0.6012378204704901   accuracy 0.7738636363636363   precision 0.6493087557603686   recall 0.5906283566058002
deviation 4/5   iterations 650/2000   F1 0.5923740334503211   accuracy 0.7556818181818182   precision 0.6513364055299539   recall 0.5853335735469387
deviation 4/5   iterations 660/2000   F1 0.6012378204704901   accuracy 0.7738636363636363   precision 0.6493087557603686   recall 0.5906283566058002
deviation 4/5   iterations 670/2000   F1 0.5876889553456737   accuracy 0.7625   precision 0.6346236559139785   recall 0.5799891936096264
deviation 4/5   iterations 680/2000   F1 0.6167557932263815   accuracy 0.8045454545454546   precision 0.6461443932411675   recall 0.6037386927659871
deviation 4/5   iterations 690/2000   F1 0.5963483165890022   accuracy 0.7784090909090909   precision 0.6354224270353303   recall 0.5860507246376812
deviation 4/5   iterations 700/2000   F1 0.6129221445677142   accuracy 0.8056818181818182   precision 0.6385560675883256   recall 0.6008461235733963
deviation 4/5   iterations 710/2000   F1 0.6087683683862637   accuracy 0.7852272727272728   precision 0.6516436251920124   recall 0.5963580709645178
deviation 4/5   iterations 720/2000   F1 0.6143458453510533   accuracy 0.8045454545454546   precision 0.6420276497695853   recall 0.6018183259772181
deviation 4/5   iterations 730/2000   F1 0.6127459830294277   accuracy 0.8227272727272728   precision 0.6235330261136712   recall 0.6051175873932093
deviation 4/5   iterations 740/2000   F1 0.6133204304680336   accuracy 0.803409090909091   precision 0.6413824884792627   recall 0.6008538167537432
deviation 4/5   iterations 750/2000   F1 0.6135135135135136   accuracy 0.7931818181818182   precision 0.6520430107526882   recall 0.6002836879432625
deviation 4/5   iterations 760/2000   F1 0.5925596281612141   accuracy 0.7659090909090909   precision 0.6406758832565285   recall 0.5838773730757113
deviation 4/5   iterations 770/2000   F1 0.5938461538461538   accuracy 0.7954545454545454   precision 0.6162826420890937   recall 0.5842046718576196
deviation 4/5   iterations 780/2000   F1 0.5965493570315152   accuracy 0.7897727272727273   precision 0.6254070660522273   recall 0.5861007053423779
deviation 4/5   iterations 790/2000   F1 0.6122994652406416   accuracy 0.8022727272727272   precision 0.64073732718894   recall 0.5999005574019313
deviation 4/5   iterations 800/2000   F1 0.605019305019305   accuracy 0.7886363636363637   precision 0.6412288786482335   recall 0.5931509625126646
deviation 4/5   iterations 810/2000   F1 0.6042852624920937   accuracy 0.7931818181818182   precision 0.6355760368663594   recall 0.59265480259677
deviation 4/5   iterations 820/2000   F1 0.6021917808219178   accuracy 0.775   precision 0.6499539170506913   recall 0.5913531723750702
deviation 4/5   iterations 830/2000   F1 0.6085399940529289   accuracy 0.7875   precision 0.6488172043010753   recall 0.5961111111111111
deviation 4/5   iterations 840/2000   F1 0.6023979302076103   accuracy 0.7965909090909091   precision 0.6292780337941628   recall 0.5913194444444444
deviation 4/5   iterations 850/2000   F1 0.6017415337404011   accuracy 0.7875   precision 0.6364669738863287   recall 0.590399205496402
deviation 4/5   iterations 860/2000   F1 0.5974820849034   accuracy 0.7852272727272728   precision 0.6310599078341014   recall 0.5868174269805607
deviation 4/5   iterations 870/2000   F1 0.6040681619182326   accuracy 0.8102272727272727   precision 0.620552995391705   recall 0.5946911196911198
deviation 4/5   iterations 880/2000   F1 0.5983288762874419   accuracy 0.8068181818181818   precision 0.6145007680491551   recall 0.589420243956276
deviation 4/5   iterations 890/2000   F1 0.6000414630062274   accuracy 0.8056818181818182   precision 0.6179723502304147   recall 0.5905797101449275
deviation 4/5   iterations 900/2000   F1 0.5955707426791816   accuracy 0.8068181818181818   precision 0.610384024577573   recall 0.5872095845590735
deviation 4/5   iterations 910/2000   F1 0.594087299616086   accuracy 0.7784090909090909   precision 0.631305683563748   recall 0.58411001605844
deviation 4/5   iterations 920/2000   F1 0.5946308790962456   accuracy 0.7875   precision 0.6241167434715822   recall 0.5844368646334939
deviation 4/5   iterations 930/2000   F1 0.5973359092988968   accuracy 0.8056818181818182   precision 0.6138556067588326   recall 0.5884098629718691
deviation 4/5   iterations 940/2000   F1 0.6148905939187268   accuracy 0.825   precision 0.6248233486943164   recall 0.6076291390728477
deviation 4/5   iterations 950/2000   F1 0.6008927934446947   accuracy 0.7977272727272727   precision 0.6258064516129032   recall 0.590189497053149
deviation 4/5   iterations 960/2000   F1 0.5849610678531701   accuracy 0.759090909090909   precision 0.6326881720430108   recall 0.5780307136404697
deviation 4/5   iterations 970/2000   F1 0.6083708609271523   accuracy 0.8090909090909091   precision 0.6281413210445469   recall 0.5978418953788411
deviation 4/5   iterations 980/2000   F1 0.5889631872293979   accuracy 0.7806818181818181   precision 0.6202457757296467   recall 0.5796538699488782
deviation 4/5   iterations 990/2000   F1 0.6033018763348286   accuracy 0.7920454545454545   precision 0.6349308755760369   recall 0.5917937399678973
deviation 4/5   iterations 1000/2000   F1 0.6169796036802844   accuracy 0.8363636363636363   precision 0.6189247311827957   recall 0.6151548685729245
deviation 4/5   iterations 1010/2000   F1 0.6083994612207353   accuracy 0.8306818181818182   precision 0.6115821812596006   recall 0.6055617559523809
deviation 4/5   iterations 1020/2000   F1 0.6020454308275646   accuracy 0.8079545454545455   precision 0.61926267281106   recall 0.5926084965075002
deviation 4/5   iterations 1030/2000   F1 0.6122994652406416   accuracy 0.8022727272727272   precision 0.64073732718894   recall 0.5999005574019313
deviation 4/5   iterations 1040/2000   F1 0.6103896103896104   accuracy 0.8295454545454546   precision 0.6150537634408602   recall 0.6064222790565501
deviation 4/5   iterations 1050/2000   F1 0.6181510441361989   accuracy 0.8284090909090909   precision 0.6267588325652842   recall 0.6115424542584023
deviation 4/5   iterations 1060/2000   F1 0.6271357244285649   accuracy 0.8318181818181818   precision 0.6369278033794163   recall 0.6196689972183738
update
deviation 4/5   iterations 1070/2000   F1 0.6018801806568363   accuracy 0.7988636363636363   precision 0.6264516129032258   recall 0.5911070973225669
deviation 4/5   iterations 1080/2000   F1 0.6058419140220028   accuracy 0.7977272727272727   precision 0.6340399385560676   recall 0.5942259349165075
deviation 4/5   iterations 1090/2000   F1 0.6226755732081602   accuracy 0.8272727272727273   precision 0.6343471582181259   recall 0.6143196243895808
deviation 4/5   iterations 1100/2000   F1 0.6243041506801534   accuracy 0.8261363636363637   precision 0.6378187403993856   recall 0.615025641025641
deviation 4/5   iterations 1110/2000   F1 0.6215755879153773   accuracy 0.8261363636363637   precision 0.6337019969278034   recall 0.613031914893617
deviation 4/5   iterations 1120/2000   F1 0.6108772387210887   accuracy 0.803409090909091   precision 0.6372657450076805   recall 0.5988985692024367
deviation 4/5   iterations 1130/2000   F1 0.6118967676305936   accuracy 0.8443181818181819   precision 0.6069738863287251   recall 0.6178198256726761
deviation 4/5   iterations 1140/2000   F1 0.6271357244285649   accuracy 0.8318181818181818   precision 0.6369278033794163   recall 0.6196689972183738
deviation 4/5   iterations 1150/2000   F1 0.6182932578972183   accuracy 0.8170454545454545   precision 0.636774193548387   recall 0.6074324324324324
deviation 4/5   iterations 1160/2000   F1 0.6149786286214314   accuracy 0.8375   precision 0.6154531490015361   recall 0.6145117254156306
deviation 4/5   iterations 1170/2000   F1 0.6129064234734338   accuracy 0.8386363636363636   precision 0.6119815668202765   recall 0.6138621284252352
deviation 4/5   iterations 1180/2000   F1 0.6140242821280925   accuracy 0.8397727272727272   precision 0.612626728110599   recall 0.6154922123090881
deviation 4/5   iterations 1190/2000   F1 0.618115464650584   accuracy 0.8113636363636364   precision 0.6417818740399386   recall 0.605927340500739
deviation 4/5   iterations 1200/2000   F1 0.6271175391653999   accuracy 0.8375   precision 0.6319201228878648   recall 0.6229329852045257
deviation 4/5   iterations 1210/2000   F1 0.6248371893366733   accuracy 0.8352272727272727   precision 0.6306298003072197   recall 0.6199449359090088
deviation 4/5   iterations 1220/2000   F1 0.6019421922953598   accuracy 0.8204545454545454   precision 0.6098924731182795   recall 0.5960412840588115
deviation 4/5   iterations 1230/2000   F1 0.615971523022028   accuracy 0.8261363636363637   precision 0.625468509984639   recall 0.6089136371394436
deviation 4/5   iterations 1240/2000   F1 0.6220970180019239   accuracy 0.8295454545454546   precision 0.6315207373271889   recall 0.6149434545864613
deviation 4/5   iterations 1250/2000   F1 0.6192287065477061   accuracy 0.8386363636363636   precision 0.6202150537634409   recall 0.6182732647410865
deviation 4/5   iterations 1260/2000   F1 0.6163504464285715   accuracy 0.8295454545454546   precision 0.6232872503840245   recall 0.6107841296834109
deviation 4/5   iterations 1270/2000   F1 0.6189122273624604   accuracy 0.8352272727272727   precision 0.6223963133640553   recall 0.6157924107142857
deviation 4/5   iterations 1280/2000   F1 0.6316964285714286   accuracy 0.8363636363636363   precision 0.6395084485407065   recall 0.6253602623703884
update
deviation 4/5   iterations 1290/2000   F1 0.6273233471884558   accuracy 0.8465909090909091   precision 0.624731182795699   recall 0.6301282051282051
deviation 4/5   iterations 1300/2000   F1 0.6253118403377471   accuracy 0.8386363636363636   precision 0.6284485407066053   recall 0.6224534026874728
deviation 4/5   iterations 1310/2000   F1 0.6141282934455191   accuracy 0.8431818181818181   precision 0.6104454685099847   recall 0.6183328725099076
deviation 4/5   iterations 1320/2000   F1 0.6310314632956739   accuracy 0.8329545454545455   precision 0.6416897081413211   recall 0.6229945383171189
deviation 4/5   iterations 1330/2000   F1 0.6253129805920259   accuracy 0.8477272727272728   precision 0.6212596006144393   recall 0.6299192900685968
deviation 4/5   iterations 1340/2000   F1 0.6229648671808055   accuracy 0.8454545454545455   precision 0.6199692780337942   recall 0.6262626262626263
deviation 4/5   iterations 1350/2000   F1 0.6287645208508518   accuracy 0.8306818181818182   precision 0.6403993855606759   recall 0.6202580943960254
deviation 4/5   iterations 1360/2000   F1 0.6288616314624117   accuracy 0.8363636363636363   precision 0.6353917050691245   recall 0.6234163390126692
deviation 4/5   iterations 1370/2000   F1 0.6318613883878975   accuracy 0.8284090909090909   precision 0.6473425499231951   recall 0.6214349376114082
update
deviation 4/5   iterations 1380/2000   F1 0.6399377596459108   accuracy 0.8443181818181819   precision 0.6440245775729647   recall 0.6362537202380952
update
deviation 4/5   iterations 1390/2000   F1 0.614757244290923   accuracy 0.8340909090909091   precision 0.6176344086021506   recall 0.6121440035614287
deviation 4/5   iterations 1400/2000   F1 0.6292624900872323   accuracy 0.8454545454545455   precision 0.6282027649769586   recall 0.6303557371518537
deviation 4/5   iterations 1410/2000   F1 0.6060618030045688   accuracy 0.8454545454545455   precision 0.5993855606758833   recall 0.6148808931945056
deviation 4/5   iterations 1420/2000   F1 0.62320387917612   accuracy 0.825   precision 0.637173579109063   recall 0.6137649181096424
deviation 4/5   iterations 1430/2000   F1 0.5999698953864679   accuracy 0.8284090909090909   precision 0.6020583717357911   recall 0.5980519480519481
deviation 4/5   iterations 1440/2000   F1 0.618798467719331   accuracy 0.8261363636363637   precision 0.6295852534562212   recall 0.6109953265125678
deviation 4/5   iterations 1450/2000   F1 0.6234420095232025   accuracy 0.8397727272727272   precision 0.6249769585253456   recall 0.6219775474956822
deviation 4/5   iterations 1460/2000   F1 0.6105667193497404   accuracy 0.8329545454545455   precision 0.6128725038402458   recall 0.6084415584415584
deviation 4/5   iterations 1470/2000   F1 0.6189122273624604   accuracy 0.8352272727272727   precision 0.6223963133640553   recall 0.6157924107142857
deviation 4/5   iterations 1480/2000   F1 0.6074544012688343   accuracy 0.8363636363636363   precision 0.6065745007680492   recall 0.6083642588496958
deviation 4/5   iterations 1490/2000   F1 0.6189122273624604   accuracy 0.8352272727272727   precision 0.6223963133640553   recall 0.6157924107142857
deviation 4/5   iterations 1500/2000   F1 0.6139221994735302   accuracy 0.8568181818181818   precision 0.6017204301075268   recall 0.6338729763387297
deviation 4/5   iterations 1510/2000   F1 0.6223576158940398   accuracy 0.8159090909090909   precision 0.6443625192012289   recall 0.6102275392915787
deviation 4/5   iterations 1520/2000   F1 0.6266821320789167   accuracy 0.8204545454545454   precision 0.6469431643625192   recall 0.614756379619766
deviation 4/5   iterations 1530/2000   F1 0.6185667144407427   accuracy 0.8443181818181819   precision 0.6152073732718895   recall 0.622331541312177
deviation 4/5   iterations 1540/2000   F1 0.6264619552946489   accuracy 0.8397727272727272   precision 0.6290937019969278   recall 0.624025974025974
deviation 4/5   iterations 1550/2000   F1 0.6177874174699997   accuracy 0.8193181818181818   precision 0.6339477726574501   recall 0.607724541429475
deviation 4/5   iterations 1560/2000   F1 0.611745964387594   accuracy 0.8511363636363637   precision 0.6026113671274962   recall 0.624880354151711
deviation 4/5   iterations 1570/2000   F1 0.6020023790642347   accuracy 0.8340909090909091   precision 0.6011674347158218   recall 0.6028663892741563
deviation 4/5   iterations 1580/2000   F1 0.6210658176314003   accuracy 0.85   precision 0.6143164362519201   recall 0.6295630858368501
deviation 4/5   iterations 1590/2000   F1 0.6241350835729946   accuracy 0.8465909090909091   precision 0.6206144393241168   recall 0.6280729683177619
deviation 4/5   iterations 1600/2000   F1 0.6021091208256983   accuracy 0.8488636363636364   precision 0.5930875576036867   recall 0.6157619658903356
deviation 4/5   iterations 1610/2000   F1 0.6177964992443984   accuracy 0.8340909090909091   precision 0.6217511520737327   recall 0.614311592112702
deviation 4/5   iterations 1620/2000   F1 0.6229648671808055   accuracy 0.8454545454545455   precision 0.6199692780337942   recall 0.6262626262626263
deviation 4/5   iterations 1630/2000   F1 0.6118755985684763   accuracy 0.8409090909090909   precision 0.6091551459293395   recall 0.6148812064305023
deviation 4/5   iterations 1640/2000   F1 0.6118967676305936   accuracy 0.8443181818181819   precision 0.6069738863287251   recall 0.6178198256726761
deviation 4/5   iterations 1650/2000   F1 0.6232282488676566   accuracy 0.8488636363636364   precision 0.6177880184331797   recall 0.6297303881760598
deviation 4/5   iterations 1660/2000   F1 0.6127391360090925   accuracy 0.8556818181818182   precision 0.6010752688172043   recall 0.6314821919560074
deviation 4/5   iterations 1670/2000   F1 0.6151491297122365   accuracy 0.8409090909090909   precision 0.6132718894009217   recall 0.6171532429237789
deviation 4/5   iterations 1680/2000   F1 0.606340148226959   accuracy 0.8318181818181818   precision 0.6081105990783411   recall 0.6046835397850998
deviation 4/5   iterations 1690/2000   F1 0.613031725707782   accuracy 0.8454545454545455   precision 0.6076190476190476   recall 0.6196526895383312
deviation 4/5   iterations 1700/2000   F1 0.6029436062990124   accuracy 0.8386363636363636   precision 0.5996313364055299   recall 0.6067464549512185
deviation 4/5   iterations 1710/2000   F1 0.6200042517006803   accuracy 0.8522727272727273   precision 0.6114900153609831   recall 0.631502659767216
deviation 4/5   iterations 1720/2000   F1 0.6153217275818459   accuracy 0.8511363636363637   precision 0.6067281105990783   recall 0.627189385507586
deviation 4/5   iterations 1730/2000   F1 0.5977496483825598   accuracy 0.8522727272727273   precision 0.58678955453149   recall 0.6169772256728778
deviation 4/5   iterations 1740/2000   F1 0.6193930938262993   accuracy 0.8238636363636364   precision 0.6324116743471582   recall 0.6105128205128205
deviation 4/5   iterations 1750/2000   F1 0.6181510441361989   accuracy 0.8284090909090909   precision 0.6267588325652842   recall 0.6115424542584023
deviation 4/5   iterations 1760/2000   F1 0.5999943181011094   accuracy 0.8545454545454545   precision 0.5880798771121352   recall 0.621666581792874
deviation 4/5   iterations 1770/2000   F1 0.5915611814345992   accuracy 0.85   precision 0.5813824884792627   recall 0.6096894409937889
deviation 4/5   iterations 1780/2000   F1 0.6174202328746409   accuracy 0.8431818181818181   precision 0.6145622119815668   recall 0.6205719163465643
deviation 4/5   iterations 1790/2000   F1 0.6153243906258156   accuracy 0.8477272727272728   precision 0.6089093701996928   recall 0.6234348667808745
deviation 4/5   iterations 1800/2000   F1 0.6005419434424497   accuracy 0.8511363636363637   precision 0.5902611367127496   recall 0.6174147963424771
deviation 4/5   iterations 1810/2000   F1 0.5983183183183183   accuracy 0.8488636363636364   precision 0.5889708141321044   recall 0.613125
deviation 4/5   iterations 1820/2000   F1 0.6107692307692307   accuracy 0.8431818181818181   precision 0.6063287250384024   recall 0.6160241367750587
deviation 4/5   iterations 1830/2000   F1 0.6117954460619635   accuracy 0.8375   precision 0.6113364055299539   recall 0.6122620935765266
deviation 4/5   iterations 1840/2000   F1 0.620646999287776   accuracy 0.8431818181818181   precision 0.618678955453149   recall 0.6227455864970323
deviation 4/5   iterations 1850/2000   F1 0.595959595959596   accuracy 0.8545454545454545   precision 0.583963133640553   recall 0.6189522798098852
deviation 4/5   iterations 1860/2000   F1 0.6062444068807795   accuracy 0.8568181818181818   precision 0.5934869431643626   recall 0.6291354755478603
deviation 4/5   iterations 1870/2000   F1 0.6107599403968317   accuracy 0.8397727272727272   precision 0.608509984639017   recall 0.6132051282051282
deviation 4/5   iterations 1880/2000   F1 0.6062310270120622   accuracy 0.8420454545454545   precision 0.6015668202764977   recall 0.6118645444209843
deviation 4/5   iterations 1890/2000   F1 0.6244131455399061   accuracy 0.85   precision 0.6184331797235023   recall 0.6316760257408698
deviation 4/5   iterations 1900/2000   F1 0.6176735069160276   accuracy 0.8534090909090909   precision 0.6080184331797235   recall 0.6314608758076095
deviation 4/5   iterations 1910/2000   F1 0.6118755985684763   accuracy 0.8409090909090909   precision 0.6091551459293395   recall 0.6148812064305023
deviation 4/5   iterations 1920/2000   F1 0.6164102564102564   accuracy 0.8454545454545455   precision 0.6117357910906298   recall 0.6219242373449547
deviation 4/5   iterations 1930/2000   F1 0.6062444068807795   accuracy 0.8568181818181818   precision 0.5934869431643626   recall 0.6291354755478603
deviation 4/5   iterations 1940/2000   F1 0.616493462956755   accuracy 0.8522727272727273   precision 0.6073732718894009   recall 0.6293007769145395
deviation 4/5   iterations 1950/2000   F1 0.6052683073681042   accuracy 0.8306818181818182   precision 0.6074654377880184   recall 0.6032467532467533
deviation 4/5   iterations 1960/2000   F1 0.611306047017834   accuracy 0.8579545454545454   precision 0.5982488479262673   recall 0.6340453356582388
deviation 4/5   iterations 1970/2000   F1 0.5951700101943551   accuracy 0.8579545454545454   precision 0.5817818740399385   recall 0.6238738738738738
deviation 4/5   iterations 1980/2000   F1 0.606640539725771   accuracy 0.8534090909090909   precision 0.5956682027649769   recall 0.6244484941492423
deviation 4/5   iterations 1990/2000   F1 0.6337838944867699   accuracy 0.8556818181818182   precision 0.6257757296466974   recall 0.6439521800281294
deviation 4/5   iterations 2000/2000   F1 0.6071831260684256   accuracy 0.8465909090909091   precision 0.6000307219662058   recall 0.6167929292929293

deviation 5/5   iterations 10/2000   F1 0.5090419638687702   accuracy 0.6530147895335608   precision 0.5742866004962779   recall 0.5345260062276553
update
deviation 5/5   iterations 20/2000   F1 0.5009605084624723   accuracy 0.6382252559726962   precision 0.570062034739454   recall 0.5318302237754354
deviation 5/5   iterations 30/2000   F1 0.3558866634098681   accuracy 0.3856655290102389   precision 0.5308995037220844   recall 0.5145051194539249
deviation 5/5   iterations 40/2000   F1 0.4418465299308371   accuracy 0.515358361774744   precision 0.5711476426799007   recall 0.5297296876944133
deviation 5/5   iterations 50/2000   F1 0.37971640902375015   accuracy 0.41751990898748575   precision 0.5489640198511166   recall 0.5220329615114059
deviation 5/5   iterations 60/2000   F1 0.40956095688594363   accuracy 0.45847554038680316   precision 0.5721898263027295   recall 0.5312228339611706
deviation 5/5   iterations 70/2000   F1 0.4442245770153972   accuracy 0.5085324232081911   precision 0.5964143920595534   recall 0.5405102487645181
deviation 5/5   iterations 80/2000   F1 0.45883963484272067   accuracy 0.5369738339021616   precision 0.5917307692307692   recall 0.5382769546174634
deviation 5/5   iterations 90/2000   F1 0.44759983651729096   accuracy 0.5119453924914675   precision 0.6025124069478909   recall 0.5430562793121417
deviation 5/5   iterations 100/2000   F1 0.5071865443425077   accuracy 0.6245733788395904   precision 0.6039454094292804   recall 0.5454294049387803
deviation 5/5   iterations 110/2000   F1 0.510030134320694   accuracy 0.6245733788395904   precision 0.6122704714640199   recall 0.5488738860383473
update
deviation 5/5   iterations 120/2000   F1 0.39037242228377966   accuracy 0.4232081911262799   precision 0.5896526054590571   recall 0.5410876339072486
deviation 5/5   iterations 130/2000   F1 0.5239006129417089   accuracy 0.6405005688282139   precision 0.6296277915632755   recall 0.5570118956673579
update
deviation 5/5   iterations 140/2000   F1 0.514499159889666   accuracy 0.621160409556314   precision 0.6311476426799008   recall 0.5564337881991159
deviation 5/5   iterations 150/2000   F1 0.5394342244325345   accuracy 0.6666666666666666   precision 0.6361414392059553   recall 0.5619390600480927
update
deviation 5/5   iterations 160/2000   F1 0.5357758507995991   accuracy 0.6552901023890785   precision 0.6421774193548386   recall 0.5633296490743299
deviation 5/5   iterations 170/2000   F1 0.4868089764641489   accuracy 0.5631399317406144   precision 0.6440322580645161   recall 0.560104168823907
deviation 5/5   iterations 180/2000   F1 0.5426947920326477   accuracy 0.6496018202502845   precision 0.6722518610421836   recall 0.5749851471779638
update
deviation 5/5   iterations 190/2000   F1 0.5214313294355041   accuracy 0.6166097838452788   precision 0.6618672456575683   recall 0.5686773561863051
deviation 5/5   iterations 200/2000   F1 0.5415125762904598   accuracy 0.646188850967008   precision 0.6744789081885856   recall 0.5755993979142028
deviation 5/5   iterations 210/2000   F1 0.5345270440811842   accuracy 0.6348122866894198   precision 0.6721898263027295   recall 0.5738595240122616
deviation 5/5   iterations 220/2000   F1 0.4921476968328168   accuracy 0.5620022753128555   precision 0.6683622828784119   recall 0.5702853887191175
deviation 5/5   iterations 230/2000   F1 0.5410401002506267   accuracy 0.6473265073947668   precision 0.6709615384615384   recall 0.5742814171122994
deviation 5/5   iterations 240/2000   F1 0.540213974438111   accuracy 0.646188850967008   precision 0.6703163771712158   recall 0.573931752819397
deviation 5/5   iterations 250/2000   F1 0.5193514635814449   accuracy 0.6188850967007964   precision 0.6506699751861043   recall 0.5642539682539682
deviation 5/5   iterations 260/2000   F1 0.5503483702617098   accuracy 0.6734926052332195   precision 0.6566625310173697   recall 0.5710739614994934
update
deviation 5/5   iterations 270/2000   F1 0.5563507625272331   accuracy 0.6837315130830489   precision 0.6583064516129032   recall 0.5729948512585813
update
deviation 5/5   iterations 280/2000   F1 0.5455131847710902   accuracy 0.6552901023890785   precision 0.6713151364764267   recall 0.5751055219529176
deviation 5/5   iterations 290/2000   F1 0.507633321282218   accuracy 0.5893060295790671   precision 0.667196029776675   recall 0.5699492354168613
deviation 5/5   iterations 300/2000   F1 0.5440696481733198   accuracy 0.646188850967008   precision 0.6828039702233251   recall 0.578926505249625
deviation 5/5   iterations 310/2000   F1 0.5230127538242207   accuracy 0.6154721274175199   precision 0.6695471464019851   recall 0.5717318957734059
deviation 5/5   iterations 320/2000   F1 0.5415125762904598   accuracy 0.646188850967008   precision 0.6744789081885856   recall 0.5755993979142028
deviation 5/5   iterations 330/2000   F1 0.5550004189710072   accuracy 0.6700796359499431   precision 0.6755397022332505   recall 0.5782861537780533
deviation 5/5   iterations 340/2000   F1 0.5642913281201409   accuracy 0.7007963594994312   precision 0.6554962779156328   recall 0.5743057367135438
update
deviation 5/5   iterations 350/2000   F1 0.5637327715489537   accuracy 0.6837315130830489   precision 0.679119106699752   recall 0.581376472577645
deviation 5/5   iterations 360/2000   F1 0.566059961459066   accuracy 0.7053469852104665   precision 0.6539143920595534   recall 0.5743940175348118
update
deviation 5/5   iterations 370/2000   F1 0.5721456108173535   accuracy 0.7007963594994312   precision 0.6763089330024814   recall 0.5827645051194539
update
deviation 5/5   iterations 380/2000   F1 0.5250892926469446   accuracy 0.6200227531285551   precision 0.6679652605459057   recall 0.5713074257060688
deviation 5/5   iterations 390/2000   F1 0.5410401002506267   accuracy 0.6473265073947668   precision 0.6709615384615384   recall 0.5742814171122994
deviation 5/5   iterations 400/2000   F1 0.5718982101546329   accuracy 0.7087599544937428   precision 0.6641749379652605   recall 0.5791995355462718
deviation 5/5   iterations 410/2000   F1 0.5590114617656301   accuracy 0.689419795221843   precision 0.6573697270471464   recall 0.5733798465757228
deviation 5/5   iterations 420/2000   F1 0.5654728322892106   accuracy 0.6939704209328783   precision 0.6682754342431761   recall 0.5784650630011454
deviation 5/5   iterations 430/2000   F1 0.5571885053750338   accuracy 0.6848691695108078   precision 0.6589516129032258   recall 0.5734065594059405
deviation 5/5   iterations 440/2000   F1 0.5460157402852928   accuracy 0.6655290102389079   precision 0.6563089330024814   recall 0.5700617283950618
deviation 5/5   iterations 450/2000   F1 0.5365134458556663   accuracy 0.6484641638225256   precision 0.6549565756823821   recall 0.5679338366476654
deviation 5/5   iterations 460/2000   F1 0.5543305200964646   accuracy 0.6916951080773607   precision 0.6420099255583127   recall 0.5673674545625765
deviation 5/5   iterations 470/2000   F1 0.5652091196882991   accuracy 0.7042093287827076   precision 0.6532692307692307   recall 0.5739385197332982
deviation 5/5   iterations 480/2000   F1 0.5684726447438313   accuracy 0.7224118316268487   precision 0.6386166253101737   recall 0.5710492845786963
deviation 5/5   iterations 490/2000   F1 0.5805455093429778   accuracy 0.7406143344709898   precision 0.6447766749379653   recall 0.5777394339924319
update
deviation 5/5   iterations 500/2000   F1 0.567815285888066   accuracy 0.714448236632537   precision 0.6465880893300249   recall 0.5729284973581552
deviation 5/5   iterations 510/2000   F1 0.5703980294025648   accuracy 0.7155858930602957   precision 0.6513957816377172   recall 0.5751570583887657
deviation 5/5   iterations 520/2000   F1 0.5652204635387224   accuracy 0.7133105802047781   precision 0.6417803970223326   recall 0.5706911056948792
deviation 5/5   iterations 530/2000   F1 0.5652684615622392   accuracy 0.7087599544937428   precision 0.6475248138957816   recall 0.5723134464513775
deviation 5/5   iterations 540/2000   F1 0.5626788881279742   accuracy 0.7098976109215017   precision 0.6398449131513648   recall 0.5692735541761416
deviation 5/5   iterations 550/2000   F1 0.5758052789631737   accuracy 0.7394766780432309   precision 0.6358064516129032   recall 0.5735371179039301
deviation 5/5   iterations 560/2000   F1 0.5525961466434387   accuracy 0.6985210466439136   precision 0.6292307692307693   recall 0.562960142168063
deviation 5/5   iterations 570/2000   F1 0.5542501807664497   accuracy 0.7007963594994312   precision 0.6305210918114144   recall 0.5638473489998058
deviation 5/5   iterations 580/2000   F1 0.5701902560455192   accuracy 0.7246871444823664   precision 0.6399069478908188   recall 0.5720598384540667
deviation 5/5   iterations 590/2000   F1 0.5449010926230093   accuracy 0.6700796359499431   precision 0.6464019851116625   recall 0.5665125979369822
deviation 5/5   iterations 600/2000   F1 0.5426861211373845   accuracy 0.6712172923777019   precision 0.6387220843672456   recall 0.5634815193323114
deviation 5/5   iterations 610/2000   F1 0.5626788881279742   accuracy 0.7098976109215017   precision 0.6398449131513648   recall 0.5692735541761416
deviation 5/5   iterations 620/2000   F1 0.5770984131778514   accuracy 0.7463026166097838   precision 0.6313523573200993   recall 0.5732461602324617
deviation 5/5   iterations 630/2000   F1 0.5740573310537963   accuracy 0.7372013651877133   precision 0.6345161290322581   recall 0.5724306557639891
deviation 5/5   iterations 640/2000   F1 0.5668574153552695   accuracy 0.7178612059158134   precision 0.6401985111662531   recall 0.5708517255216694
deviation 5/5   iterations 650/2000   F1 0.5903102116127543   accuracy 0.7792946530147895   precision 0.6250868486352358   recall 0.5807994999118434
update
deviation 5/5   iterations 660/2000   F1 0.578541190303515   accuracy 0.7736063708759955   precision 0.6093734491315136   recall 0.5709474141677532
deviation 5/5   iterations 670/2000   F1 0.5788006806313443   accuracy 0.7770193401592719   precision 0.6071464019851117   recall 0.5710174007433966
deviation 5/5   iterations 680/2000   F1 0.5848600962395295   accuracy 0.7588168373151308   precision 0.6342866004962779   recall 0.5780702260563482
deviation 5/5   iterations 690/2000   F1 0.5780176987503735   accuracy 0.7349260523321957   precision 0.6457133995037221   recall 0.5767815115062762
deviation 5/5   iterations 700/2000   F1 0.5794738320546358   accuracy 0.7519908987485779   precision 0.6304156327543424   recall 0.5743366524285027
deviation 5/5   iterations 710/2000   F1 0.5727187446699642   accuracy 0.7406143344709898   precision 0.6281265508684863   recall 0.5703857688113414
deviation 5/5   iterations 720/2000   F1 0.5759344575799722   accuracy 0.7474402730375427   precision 0.6278349875930521   recall 0.5719477962125021
deviation 5/5   iterations 730/2000   F1 0.5748473894017299   accuracy 0.7599544937428896   precision 0.6141191066997519   recall 0.5689608636977058
deviation 5/5   iterations 740/2000   F1 0.5747366992340142   accuracy 0.7485779294653014   precision 0.624317617866005   recall 0.5706340142959861
deviation 5/5   iterations 750/2000   F1 0.5814899642345401   accuracy 0.7599544937428896   precision 0.626606699751861   recall 0.5748800246554836
deviation 5/5   iterations 760/2000   F1 0.5716374269005848   accuracy 0.7315130830489193   precision 0.6354528535980148   recall 0.5715629465514755
deviation 5/5   iterations 770/2000   F1 0.5865542129592085   accuracy 0.7690557451649602   precision 0.6276054590570719   recall 0.5782676853768416
deviation 5/5   iterations 780/2000   F1 0.5592489186230954   accuracy 0.7076222980659841   precision 0.6343920595533499   recall 0.5665724294757544
deviation 5/5   iterations 790/2000   F1 0.5657198951467621   accuracy 0.7394766780432309   precision 0.6149937965260546   recall 0.5641241178912412
deviation 5/5   iterations 800/2000   F1 0.5824337725510457   accuracy 0.7531285551763367   precision 0.6352233250620347   recall 0.5768303514782388
deviation 5/5   iterations 810/2000   F1 0.5934282083387842   accuracy 0.7747440273037542   precision 0.6349937965260546   recall 0.5837554269175109
update
deviation 5/5   iterations 820/2000   F1 0.5890131799495386   accuracy 0.7588168373151308   precision 0.6426116625310173   recall 0.5818172111894084
deviation 5/5   iterations 830/2000   F1 0.6032327501859027   accuracy 0.8031854379977247   precision 0.6261476426799008   recall 0.5924923586347427
update
deviation 5/5   iterations 840/2000   F1 0.6071787906855978   accuracy 0.7963594994311718   precision 0.6389267990074442   recall 0.5950471097529921
update
deviation 5/5   iterations 850/2000   F1 0.5863679142836458   accuracy 0.7633674630261661   precision 0.6327047146401985   recall 0.5787628865979382
deviation 5/5   iterations 860/2000   F1 0.5830676329016189   accuracy 0.7463026166097838   precision 0.6438399503722084   recall 0.5787869520897044
deviation 5/5   iterations 870/2000   F1 0.591703290813592   accuracy 0.7781569965870307   precision 0.6286042183622829   recall 0.5820457819500071
deviation 5/5   iterations 880/2000   F1 0.5884438244118715   accuracy 0.7770193401592719   precision 0.6237965260545906   recall 0.5793037672865999
deviation 5/5   iterations 890/2000   F1 0.5943927224047705   accuracy 0.7929465301478953   precision 0.6203411910669975   recall 0.5843141515994437
deviation 5/5   iterations 900/2000   F1 0.5943927224047705   accuracy 0.7929465301478953   precision 0.6203411910669975   recall 0.5843141515994437
deviation 5/5   iterations 910/2000   F1 0.5897675924302306   accuracy 0.8031854379977247   precision 0.605334987593052   recall 0.5815891137634781
deviation 5/5   iterations 920/2000   F1 0.5947009279747906   accuracy 0.7736063708759955   precision 0.6385111662531018   recall 0.5849567758431754
deviation 5/5   iterations 930/2000   F1 0.586185064935065   accuracy 0.7360637087599545   precision 0.6630086848635235   recall 0.5843736754903094
deviation 5/5   iterations 940/2000   F1 0.5917687554025737   accuracy 0.7622298065984073   precision 0.6445471464019851   recall 0.5837538819875776
deviation 5/5   iterations 950/2000   F1 0.6033071680662042   accuracy 0.7974971558589306   precision 0.6312468982630273   recall 0.5919549721835883
deviation 5/5   iterations 960/2000   F1 0.5859723832845326   accuracy 0.8054607508532423   precision 0.5983002481389578   recall 0.5788829151732378
deviation 5/5   iterations 970/2000   F1 0.5846147135161073   accuracy 0.7781569965870307   precision 0.6161166253101737   recall 0.5759659090909091
deviation 5/5   iterations 980/2000   F1 0.5947441217150761   accuracy 0.7633674630261661   precision 0.6493548387096775   recall 0.5862518628912072
deviation 5/5   iterations 990/2000   F1 0.5892164570230608   accuracy 0.7565415244596132   precision 0.645483870967742   recall 0.5823975827419015
deviation 5/5   iterations 1000/2000   F1 0.6010424828482428   accuracy 0.7838452787258248   precision 0.6401550868486352   recall 0.5897830233667144
deviation 5/5   iterations 1010/2000   F1 0.5913936417475346   accuracy 0.7986348122866894   precision 0.6110794044665012   recall 0.5823112990714352
deviation 5/5   iterations 1020/2000   F1 0.5852146367900728   accuracy 0.770193401592719   precision 0.6240880893300248   recall 0.5769890999784463
deviation 5/5   iterations 1030/2000   F1 0.5984841232285822   accuracy 0.8100113765642776   precision 0.6133684863523573   recall 0.5898882483719283
deviation 5/5   iterations 1040/2000   F1 0.5950326687887418   accuracy 0.7997724687144482   precision 0.6158870967741936   recall 0.5854183813443072
deviation 5/5   iterations 1050/2000   F1 0.5984841232285822   accuracy 0.8100113765642776   precision 0.6133684863523573   recall 0.5898882483719283
deviation 5/5   iterations 1060/2000   F1 0.5943076923076923   accuracy 0.8020477815699659   precision 0.613014888337469   recall 0.5851165224541666
deviation 5/5   iterations 1070/2000   F1 0.5993739356906741   accuracy 0.7929465301478953   precision 0.628666253101737   recall 0.5884402183182671
deviation 5/5   iterations 1080/2000   F1 0.6022389674779154   accuracy 0.7906712172923777   precision 0.6357009925558312   recall 0.5907450427279516
deviation 5/5   iterations 1090/2000   F1 0.5977984068994431   accuracy 0.782707622298066   precision 0.6353473945409429   recall 0.5870630486831604
deviation 5/5   iterations 1100/2000   F1 0.591795665634675   accuracy 0.8088737201365188   precision 0.6043982630272953   recall 0.5842882900931583
deviation 5/5   iterations 1110/2000   F1 0.5987974042983866   accuracy 0.8168373151308305   precision 0.6089143920595534   recall 0.5919176160160831
deviation 5/5   iterations 1120/2000   F1 0.5933320467301332   accuracy 0.800910125142207   precision 0.6123697270471464   recall 0.5841697334671574
deviation 5/5   iterations 1130/2000   F1 0.5943927224047705   accuracy 0.7929465301478953   precision 0.6203411910669975   recall 0.5843141515994437
deviation 5/5   iterations 1140/2000   F1 0.5846147135161073   accuracy 0.7781569965870307   precision 0.6161166253101737   recall 0.5759659090909091
deviation 5/5   iterations 1150/2000   F1 0.5946640316205534   accuracy 0.8088737201365188   precision 0.608560794044665   recall 0.5865925104900641
deviation 5/5   iterations 1160/2000   F1 0.5898386034255599   accuracy 0.8065984072810012   precision 0.6031079404466502   recall 0.5822430923917346
deviation 5/5   iterations 1170/2000   F1 0.5996786856847487   accuracy 0.8145620022753128   precision 0.611786600496278   recall 0.5919500346981263
deviation 5/5   iterations 1180/2000   F1 0.583613860388236   accuracy 0.7861205915813424   precision 0.6081451612903226   recall 0.575042615837595
deviation 5/5   iterations 1190/2000   F1 0.5843040621266428   accuracy 0.7838452787258248   precision 0.6110173697270471   recall 0.5756011422970986
deviation 5/5   iterations 1200/2000   F1 0.5845442252524359   accuracy 0.7872582480091013   precision 0.6087903225806451   recall 0.5758533884669286
deviation 5/5   iterations 1210/2000   F1 0.581265798172273   accuracy 0.7770193401592719   precision 0.6113089330024813   recall 0.5731352408901932
deviation 5/5   iterations 1220/2000   F1 0.600957580746695   accuracy 0.8293515358361775   precision 0.6035235732009926   recall 0.5986405012412814
deviation 5/5   iterations 1230/2000   F1 0.5830095111689484   accuracy 0.7918088737201365   precision 0.6030459057071961   recall 0.5747717819910333
deviation 5/5   iterations 1240/2000   F1 0.5859302019210041   accuracy 0.7986348122866894   precision 0.6027543424317618   recall 0.5778164051489242
deviation 5/5   iterations 1250/2000   F1 0.5858733858733859   accuracy 0.782707622298066   precision 0.6145347394540943   recall 0.5769355779648304
deviation 5/5   iterations 1260/2000   F1 0.6009773291676681   accuracy 0.825938566552901   precision 0.6057506203473946   recall 0.5970122922831778
deviation 5/5   iterations 1270/2000   F1 0.5879043600562589   accuracy 0.8077360637087599   precision 0.599590570719603   recall 0.5809026587917515
deviation 5/5   iterations 1280/2000   F1 0.5947667677176905   accuracy 0.8122866894197952   precision 0.606333746898263   recall 0.5874647916071356
deviation 5/5   iterations 1290/2000   F1 0.5917125045837917   accuracy 0.8054607508532423   precision 0.6066253101736973   recall 0.5835504569317519
deviation 5/5   iterations 1300/2000   F1 0.5757112046831674   accuracy 0.7861205915813424   precision 0.5956575682382135   recall 0.5683583359931907
deviation 5/5   iterations 1310/2000   F1 0.5897675924302306   accuracy 0.8031854379977247   precision 0.605334987593052   recall 0.5815891137634781
deviation 5/5   iterations 1320/2000   F1 0.5831299217345405   accuracy 0.7986348122866894   precision 0.598591811414392   recall 0.5755026223776224
deviation 5/5   iterations 1330/2000   F1 0.5881450577663672   accuracy 0.8339021615472128   precision 0.5852915632754343   recall 0.5914551404853129
deviation 5/5   iterations 1340/2000   F1 0.5858733858733859   accuracy 0.782707622298066   precision 0.6145347394540943   recall 0.5769355779648304
deviation 5/5   iterations 1350/2000   F1 0.5845442252524359   accuracy 0.7872582480091013   precision 0.6087903225806451   recall 0.5758533884669286
deviation 5/5   iterations 1360/2000   F1 0.5840584031050583   accuracy 0.8031854379977247   precision 0.5970099255583127   recall 0.5769177799201212
deviation 5/5   iterations 1370/2000   F1 0.5765726923598968   accuracy 0.7940841865756542   precision 0.5918486352357321   recall 0.5695574556046228
deviation 5/5   iterations 1380/2000   F1 0.5728641728641728   accuracy 0.7758816837315131   precision 0.5981761786600496   recall 0.5659471622635219
deviation 5/5   iterations 1390/2000   F1 0.5807603222701712   accuracy 0.8100113765642776   precision 0.588393300248139   recall 0.5755915119363395
deviation 5/5   iterations 1400/2000   F1 0.5885473552816352   accuracy 0.8191126279863481   precision 0.5935545905707196   recall 0.5845783700114409
deviation 5/5   iterations 1410/2000   F1 0.5877359820680964   accuracy 0.8145620022753128   precision 0.595136476426799   recall 0.5824622531939605
deviation 5/5   iterations 1420/2000   F1 0.5840753645631694   accuracy 0.7997724687144482   precision 0.5992369727047147   recall 0.5764280390620521
deviation 5/5   iterations 1430/2000   F1 0.5859075307894206   accuracy 0.8088737201365188   precision 0.5960732009925558   recall 0.579526548218137
deviation 5/5   iterations 1440/2000   F1 0.5917062269029082   accuracy 0.8191126279863481   precision 0.5977171215880893   recall 0.5870853604599735
deviation 5/5   iterations 1450/2000   F1 0.5821595997531286   accuracy 0.7940841865756542   precision 0.6001736972704714   recall 0.5742300266617634
deviation 5/5   iterations 1460/2000   F1 0.585478276743337   accuracy 0.78839590443686   precision 0.6094354838709677   recall 0.576673331015299
deviation 5/5   iterations 1470/2000   F1 0.5915524842130347   accuracy 0.8225255972696246   precision 0.5954900744416873   recall 0.5882524939800482
deviation 5/5   iterations 1480/2000   F1 0.5927944362758497   accuracy 0.8168373151308305   precision 0.600589330024814   recall 0.5871886695057427
deviation 5/5   iterations 1490/2000   F1 0.5888017808749516   accuracy 0.8020477815699659   precision 0.6046898263027296   recall 0.5806275918741759
deviation 5/5   iterations 1500/2000   F1 0.5896358543417367   accuracy 0.8316268486916951   precision 0.5881637717121588   recall 0.591219512195122
deviation 5/5   iterations 1510/2000   F1 0.596788990825688   accuracy 0.8248009101251422   precision 0.6009429280397023   recall 0.5932920536635706
deviation 5/5   iterations 1520/2000   F1 0.5716456131633765   accuracy 0.7679180887372014   precision 0.601985111662531   recall 0.5653314258464472
deviation 5/5   iterations 1530/2000   F1 0.588720857690797   accuracy 0.8156996587030717   precision 0.5957816377171217   recall 0.5835913983151786
deviation 5/5   iterations 1540/2000   F1 0.594407530454042   accuracy 0.8293515358361775   precision 0.5951985111662531   recall 0.5936439747125876
deviation 5/5   iterations 1550/2000   F1 0.5849429317835738   accuracy 0.8077360637087599   precision 0.5954280397022332   recall 0.5784943054251541
deviation 5/5   iterations 1560/2000   F1 0.587728451274268   accuracy 0.7974971558589306   precision 0.6062717121588089   recall 0.5791723666210671
deviation 5/5   iterations 1570/2000   F1 0.583613860388236   accuracy 0.7861205915813424   precision 0.6081451612903226   recall 0.575042615837595
deviation 5/5   iterations 1580/2000   F1 0.5879902088432895   accuracy 0.825938566552901   precision 0.5891004962779156   recall 0.58693888915791
deviation 5/5   iterations 1590/2000   F1 0.5793891454751664   accuracy 0.7940841865756542   precision 0.5960111662531018   recall 0.5719164715066354
deviation 5/5   iterations 1600/2000   F1 0.5863159776003813   accuracy 0.820250284414107   precision 0.5900372208436724   recall 0.5832129342965257
deviation 5/5   iterations 1610/2000   F1 0.5793891454751664   accuracy 0.7940841865756542   precision 0.5960111662531018   recall 0.5719164715066354
deviation 5/5   iterations 1620/2000   F1 0.5948156157523332   accuracy 0.8156996587030717   precision 0.604106699751861   recall 0.5884398912287359
deviation 5/5   iterations 1630/2000   F1 0.5927118524774775   accuracy 0.820250284414107   precision 0.5983622828784119   recall 0.5882870442548832
deviation 5/5   iterations 1640/2000   F1 0.5883052313013403   accuracy 0.8225255972696246   precision 0.5913275434243176   recall 0.5856886757310487
deviation 5/5   iterations 1650/2000   F1 0.5867766207503315   accuracy 0.7963594994311718   precision 0.6056265508684864   recall 0.5782706628665992
deviation 5/5   iterations 1660/2000   F1 0.5710880892539693   accuracy 0.7736063708759955   precision 0.5968858560794045   recall 0.5645009416195856
deviation 5/5   iterations 1670/2000   F1 0.5913305073157391   accuracy 0.825938566552901   precision 0.5932630272952854   recall 0.5895627308471345
deviation 5/5   iterations 1680/2000   F1 0.6019777683644703   accuracy 0.8236632536973834   precision 0.6086228287841191   recall 0.5968045112781954
deviation 5/5   iterations 1690/2000   F1 0.5968419976336893   accuracy 0.8213879408418657   precision 0.6031699751861042   recall 0.5919449358690845
deviation 5/5   iterations 1700/2000   F1 0.5927812315348829   accuracy 0.8100113765642776   precision 0.6050434243176179   recall 0.5853322985748554
deviation 5/5   iterations 1710/2000   F1 0.5969686228728819   accuracy 0.8395904436860068   precision 0.5926799007444169   recall 0.6021915784289584
deviation 5/5   iterations 1720/2000   F1 0.5838457547691339   accuracy 0.8100113765642776   precision 0.5925558312655087   recall 0.578111911542972
deviation 5/5   iterations 1730/2000   F1 0.5886241991193609   accuracy 0.838452787258248   precision 0.5837096774193549   recall 0.5950147866497677
deviation 5/5   iterations 1740/2000   F1 0.5964888337468983   accuracy 0.8316268486916951   precision 0.5964888337468983   recall 0.5964888337468983
deviation 5/5   iterations 1750/2000   F1 0.5883052313013403   accuracy 0.8225255972696246   precision 0.5913275434243176   recall 0.5856886757310487
deviation 5/5   iterations 1760/2000   F1 0.5800310138165156   accuracy 0.8054607508532423   precision 0.5899751861042184   recall 0.5740090623341634
deviation 5/5   iterations 1770/2000   F1 0.5865874284005643   accuracy 0.8282138794084186   precision 0.5862282878411911   recall 0.5869532579321389
deviation 5/5   iterations 1780/2000   F1 0.5867561059511525   accuracy 0.8134243458475541   precision 0.5944913151364765   recall 0.5813501388592182
deviation 5/5   iterations 1790/2000   F1 0.5898133394035967   accuracy 0.8134243458475541   precision 0.5986538461538462   recall 0.5838076266363119
deviation 5/5   iterations 1800/2000   F1 0.5845182595182595   accuracy 0.8339021615472128   precision 0.5811290322580644   recall 0.5886163436780052
deviation 5/5   iterations 1810/2000   F1 0.5839829394864028   accuracy 0.8065984072810012   precision 0.5947828784119107   recall 0.5774765729585007
deviation 5/5   iterations 1820/2000   F1 0.5863159776003813   accuracy 0.820250284414107   precision 0.5900372208436724   recall 0.5832129342965257
deviation 5/5   iterations 1830/2000   F1 0.5903164495666069   accuracy 0.8248009101251422   precision 0.5926178660049628   recall 0.5882492020333372
deviation 5/5   iterations 1840/2000   F1 0.5855897280685417   accuracy 0.8156996587030717   precision 0.5916191066997518   recall 0.5810770750988142
deviation 5/5   iterations 1850/2000   F1 0.598356962777634   accuracy 0.8373151308304891   precision 0.5955521091811414   recall 0.6015305718881008
deviation 5/5   iterations 1860/2000   F1 0.586986501989309   accuracy 0.8248009101251422   precision 0.5884553349875931   recall 0.5856211269635394
deviation 5/5   iterations 1870/2000   F1 0.5801877470355731   accuracy 0.8020477815699659   precision 0.5922022332506203   recall 0.5735442561950755
deviation 5/5   iterations 1880/2000   F1 0.5903164495666069   accuracy 0.8248009101251422   precision 0.5926178660049628   recall 0.5882492020333372
deviation 5/5   iterations 1890/2000   F1 0.5855897280685417   accuracy 0.8156996587030717   precision 0.5916191066997518   recall 0.5810770750988142
deviation 5/5   iterations 1900/2000   F1 0.591698694291023   accuracy 0.8339021615472128   precision 0.5894540942928039   recall 0.5942015730748125
deviation 5/5   iterations 1910/2000   F1 0.5903164495666069   accuracy 0.8248009101251422   precision 0.5926178660049628   recall 0.5882492020333372
deviation 5/5   iterations 1920/2000   F1 0.5886136981138002   accuracy 0.8304891922639362   precision 0.5875186104218362   recall 0.5897706737254702
deviation 5/5   iterations 1930/2000   F1 0.586986501989309   accuracy 0.8248009101251422   precision 0.5884553349875931   recall 0.5856211269635394
deviation 5/5   iterations 1940/2000   F1 0.5850131752305665   accuracy 0.8043230944254836   precision 0.5976550868486352   recall 0.5778936742934051
deviation 5/5   iterations 1950/2000   F1 0.5915524842130347   accuracy 0.8225255972696246   precision 0.5954900744416873   recall 0.5882524939800482
deviation 5/5   iterations 1960/2000   F1 0.5906641534538197   accuracy 0.8327645051194539   precision 0.5888089330024814   recall 0.5926961926961927
deviation 5/5   iterations 1970/2000   F1 0.5907059042652263   accuracy 0.8179749715585893   precision 0.5970719602977668   recall 0.5859025032938077
deviation 5/5   iterations 1980/2000   F1 0.5956370151566509   accuracy 0.8270762229806599   precision 0.5980707196029776   recall 0.5934448516373093
deviation 5/5   iterations 1990/2000   F1 0.6019777683644703   accuracy 0.8236632536973834   precision 0.6086228287841191   recall 0.5968045112781954
deviation 5/5   iterations 2000/2000   F1 0.5927395776416569   accuracy 0.8350398179749715   precision 0.5900992555831266   recall 0.5957365465235848

