deviation 1/5   iterations 1/2000   F1 0.4929964890050421   accuracy 0.8762769580022701   precision 0.5097754050073637   recall 0.5914466130884042
update
deviation 1/5   iterations 11/2000   F1 0.24966706928055993   accuracy 0.2508513053348468   precision 0.5253313696612666   recall 0.5198958935801041
deviation 1/5   iterations 21/2000   F1 0.4704152814650053   accuracy 0.5720771850170261   precision 0.5676791850760923   recall 0.5287978484516163
deviation 1/5   iterations 31/2000   F1 0.3289019600050342   accuracy 0.3473325766174801   precision 0.5265709376534119   recall 0.5136912666793145
deviation 1/5   iterations 41/2000   F1 0.36947446908097403   accuracy 0.4029511918274688   precision 0.5416728031418753   recall 0.5192397044491286
deviation 1/5   iterations 51/2000   F1 0.36589065327450543   accuracy 0.39727582292849034   precision 0.5425687285223367   recall 0.5198676824378508
deviation 1/5   iterations 61/2000   F1 0.383823810289367   accuracy 0.42224744608399545   precision 0.552626411389298   recall 0.5237299391256226
deviation 1/5   iterations 71/2000   F1 0.40619418326424694   accuracy 0.4551645856980704   precision 0.5630768286696122   recall 0.5274496085112746
deviation 1/5   iterations 81/2000   F1 0.36894621035171454   accuracy 0.3995459704880817   precision 0.5520925380461463   recall 0.5243911549379949
deviation 1/5   iterations 91/2000   F1 0.4029372104884405   accuracy 0.44948921679909193   precision 0.5639727540500736   recall 0.5280196742460893
deviation 1/5   iterations 101/2000   F1 0.3925428886710851   accuracy 0.42905788876276957   precision 0.577080265095729   recall 0.5349382510013351
deviation 1/5   iterations 111/2000   F1 0.44484509014528273   accuracy 0.5096481271282634   precision 0.5940046637211586   recall 0.5397173969406275
deviation 1/5   iterations 121/2000   F1 0.39835055739452924   accuracy 0.4358683314415437   precision 0.5850638193421699   recall 0.5383563918096292
deviation 1/5   iterations 131/2000   F1 0.45021782644530794   accuracy 0.5187287173666288   precision 0.5950417280314187   recall 0.5400330851943755
deviation 1/5   iterations 141/2000   F1 0.4726762053387075   accuracy 0.5607264472190693   precision 0.5941764850270005   recall 0.5396686311000828
deviation 1/5   iterations 151/2000   F1 0.47754056577585985   accuracy 0.5732122587968218   precision 0.5889113892979873   recall 0.5376693809211825
deviation 1/5   iterations 161/2000   F1 0.4567386374263537   accuracy 0.5209988649262202   precision 0.6169182621502209   recall 0.549364195995523
deviation 1/5   iterations 171/2000   F1 0.47492338809969636   accuracy 0.5675368898978433   precision 0.5898073146784487   recall 0.5379439979258491
deviation 1/5   iterations 181/2000   F1 0.47422715569423834   accuracy 0.5629965947786606   precision 0.5954651448208149   recall 0.5402326495567349
deviation 1/5   iterations 191/2000   F1 0.45201533391857496   accuracy 0.5198637911464246   precision 0.5998036327933236   recall 0.5420497440405398
deviation 1/5   iterations 201/2000   F1 0.47845329825220817   accuracy 0.5709421112372304   precision 0.5958578792341679   recall 0.5405150949268596
deviation 1/5   iterations 211/2000   F1 0.4761329531461427   accuracy 0.5675368898978433   precision 0.5939248895434462   recall 0.5396561372963562
deviation 1/5   iterations 221/2000   F1 0.460171568627451   accuracy 0.5391600454029511   precision 0.5901693667157585   recall 0.5378637174161762
deviation 1/5   iterations 231/2000   F1 0.47381387883086334   accuracy 0.5641316685584563   precision 0.5919918998527246   recall 0.538802609100792
deviation 1/5   iterations 241/2000   F1 0.452029432020008   accuracy 0.5130533484676504   precision 0.616525527736868   recall 0.5493687538347944
deviation 1/5   iterations 251/2000   F1 0.5075711382113821   accuracy 0.6254256526674233   precision 0.602080265095729   recall 0.5449789097988319
update
deviation 1/5   iterations 261/2000   F1 0.4706626895533677   accuracy 0.5527809307604994   precision 0.6020189003436426   recall 0.5428682674257895
deviation 1/5   iterations 271/2000   F1 0.4864986240635989   accuracy 0.5845629965947786   precision 0.599472263132057   recall 0.5423038780729683
deviation 1/5   iterations 281/2000   F1 0.4955284762076332   accuracy 0.5959137343927355   precision 0.6100331369661267   recall 0.5470052533895373
deviation 1/5   iterations 291/2000   F1 0.5100849725852975   accuracy 0.6356413166855845   precision 0.5955265095729013   recall 0.5428064675796074
update
deviation 1/5   iterations 301/2000   F1 0.5002107105809128   accuracy 0.6027241770715096   precision 0.61389911634757   recall 0.5488426803081976
deviation 1/5   iterations 311/2000   F1 0.46790985836127097   accuracy 0.5425652667423383   precision 0.6126902307314679   recall 0.5473274573475594
deviation 1/5   iterations 321/2000   F1 0.5240142549166263   accuracy 0.6515323496027242   precision 0.6127822778595975   recall 0.5511892825311943
update
deviation 1/5   iterations 331/2000   F1 0.4933499822073103   accuracy 0.5891032917139614   precision 0.6144023073146785   recall 0.5486041588453677
deviation 1/5   iterations 341/2000   F1 0.5020289608845093   accuracy 0.6072644721906924   precision 0.6123588610702013   recall 0.548385391892606
deviation 1/5   iterations 351/2000   F1 0.4975799080156209   accuracy 0.5970488081725313   precision 0.6147950417280315   recall 0.5490102070757881
deviation 1/5   iterations 361/2000   F1 0.5256196277314157   accuracy 0.6583427922814983   precision 0.6084131075110457   recall 0.5499039602282357
update
deviation 1/5   iterations 371/2000   F1 0.461311547776704   accuracy 0.5346197502837684   precision 0.6040623465881197   recall 0.5437219615325117
deviation 1/5   iterations 381/2000   F1 0.4978182247031999   accuracy 0.604994324631101   precision 0.6028350515463917   recall 0.5443502286585366
deviation 1/5   iterations 391/2000   F1 0.4985919235292285   accuracy 0.6061293984108967   precision 0.6034793814432989   recall 0.5446621535723366
deviation 1/5   iterations 401/2000   F1 0.44525074967305   accuracy 0.5130533484676504   precision 0.5877025036818851   recall 0.5369715030731981
deviation 1/5   iterations 411/2000   F1 0.5165243902439025   accuracy 0.6322360953461975   precision 0.618298969072165   recall 0.552125243348475
deviation 1/5   iterations 421/2000   F1 0.4844626214791961   accuracy 0.583427922814983   precision 0.5947103583701523   recall 0.5402997545563737
deviation 1/5   iterations 431/2000   F1 0.5073036943767246   accuracy 0.6208853575482406   precision 0.6077380952380953   recall 0.5470989999141558
deviation 1/5   iterations 441/2000   F1 0.4541826542758075   accuracy 0.5244040862656073   precision 0.5982633775159548   recall 0.5413430754931323
deviation 1/5   iterations 451/2000   F1 0.5136709964970627   accuracy 0.6322360953461975   precision 0.6100638193421699   recall 0.5487020745085261
deviation 1/5   iterations 461/2000   F1 0.49536285556068593   accuracy 0.5902383654937571   precision 0.6191642120765832   recall 0.5506024661503663
deviation 1/5   iterations 471/2000   F1 0.5032434085967277   accuracy 0.6129398410896708   precision 0.6073453608247423   recall 0.5465541468399706
deviation 1/5   iterations 481/2000   F1 0.5190299101343963   accuracy 0.637911464245176   precision 0.6174030436917035   recall 0.5521211328691141
deviation 1/5   iterations 491/2000   F1 0.44975964669247803   accuracy 0.5209988649262202   precision 0.5880952380952381   recall 0.5370576877407097
deviation 1/5   iterations 501/2000   F1 0.5247446370272807   accuracy 0.6503972758229285   precision 0.6162555228276878   recall 0.552556676320783
deviation 1/5   iterations 511/2000   F1 0.5082913383136145   accuracy 0.6106696935300795   precision 0.6266445753559156   recall 0.5544199390353236
deviation 1/5   iterations 521/2000   F1 0.5149530500574208   accuracy 0.6299659477866061   precision 0.6170103092783505   recall 0.5514522552860798
deviation 1/5   iterations 531/2000   F1 0.5104078546610665   accuracy 0.6174801362088536   precision 0.6222754050073638   recall 0.5529417391119519
deviation 1/5   iterations 541/2000   F1 0.5198169477581243   accuracy 0.6390465380249716   precision 0.6180473735886107   recall 0.5524660717402687
deviation 1/5   iterations 551/2000   F1 0.5035904290169562   accuracy 0.6095346197502838   precision 0.6136475208640157   recall 0.5490133807588076
deviation 1/5   iterations 561/2000   F1 0.5374829198130169   accuracy 0.6685584562996595   precision 0.6265648011782032   recall 0.5585212634350634
update
deviation 1/5   iterations 571/2000   F1 0.49914562950436847   accuracy 0.5993189557321226   precision 0.6160837015218459   recall 0.5496201827739249
deviation 1/5   iterations 581/2000   F1 0.5069981809134587   accuracy 0.6106696935300795   precision 0.622527000490918   recall 0.5527256691383062
deviation 1/5   iterations 591/2000   F1 0.5119839937827091   accuracy 0.619750283768445   precision 0.6235640648011782   recall 0.5535879666592151
deviation 1/5   iterations 601/2000   F1 0.522045396591234   accuracy 0.6401816118047673   precision 0.6228092783505155   recall 0.554521233123018
deviation 1/5   iterations 611/2000   F1 0.5017745709828393   accuracy 0.604994324631101   precision 0.6151877761413844   recall 0.5494624505928853
deviation 1/5   iterations 621/2000   F1 0.5200259563600022   accuracy 0.6435868331441543   precision 0.6123895434462445   recall 0.5504245407691291
deviation 1/5   iterations 631/2000   F1 0.5088338176597413   accuracy 0.6152099886492622   precision 0.6209867452135494   recall 0.5522998567563266
deviation 1/5   iterations 641/2000   F1 0.505153724871896   accuracy 0.6118047673098751   precision 0.6149361806578302   recall 0.5496453524740509
deviation 1/5   iterations 651/2000   F1 0.5145762372270086   accuracy 0.6254256526674233   precision 0.6226681394207167   recall 0.553526482086435
deviation 1/5   iterations 661/2000   F1 0.513000333000333   accuracy 0.623155505107832   precision 0.6213794796269023   recall 0.5528684756345286
deviation 1/5   iterations 671/2000   F1 0.5061569369920547   accuracy 0.6152099886492622   precision 0.6127515954835543   recall 0.5488987534463854
deviation 1/5   iterations 681/2000   F1 0.5030666493775934   accuracy 0.604994324631101   precision 0.619305351006382   recall 0.5511610037472107
deviation 1/5   iterations 691/2000   F1 0.5286998342152236   accuracy 0.656072644721907   precision 0.6194771723122239   recall 0.554375146620195
deviation 1/5   iterations 701/2000   F1 0.49133059224914705   accuracy 0.5879682179341658   precision 0.6096404025527737   recall 0.546604377947498
deviation 1/5   iterations 711/2000   F1 0.5357927390387983   accuracy 0.677639046538025   precision 0.6111315660284733   recall 0.5529259796128309
deviation 1/5   iterations 721/2000   F1 0.5343149946062568   accuracy 0.6662883087400681   precision 0.6211585665193913   recall 0.5560215188005766
deviation 1/5   iterations 731/2000   F1 0.4784039433284225   accuracy 0.5607264472190693   precision 0.6147643593519883   recall 0.5482433059897849
deviation 1/5   iterations 741/2000   F1 0.5567922778223208   accuracy 0.7094211123723042   precision 0.6250552282768778   recall 0.5632503196811879
update
deviation 1/5   iterations 751/2000   F1 0.5390343898278358   accuracy 0.6685584562996595   precision 0.6306823760432008   recall 0.5602439631565845
deviation 1/5   iterations 761/2000   F1 0.527115139249417   accuracy 0.6538024971623155   precision 0.6181885125184094   recall 0.5536430481283423
deviation 1/5   iterations 771/2000   F1 0.5294200331730904   accuracy 0.6549375709421112   precision 0.6229504172803142   recall 0.5557298620382732
deviation 1/5   iterations 781/2000   F1 0.5327197924282171   accuracy 0.6640181611804767   precision 0.6198699067255768   recall 0.5552594654536402
deviation 1/5   iterations 791/2000   F1 0.5303473039175824   accuracy 0.6651532349602725   precision 0.612279086892489   recall 0.5521555459272097
deviation 1/5   iterations 801/2000   F1 0.5073036943767246   accuracy 0.6208853575482406   precision 0.6077380952380953   recall 0.5470989999141558
deviation 1/5   iterations 811/2000   F1 0.5111968929654944   accuracy 0.626560726447219   precision 0.6109597447226314   recall 0.5487427487006965
deviation 1/5   iterations 821/2000   F1 0.5263782652619425   accuracy 0.6617480136208853   precision 0.6062285223367698   recall 0.5492685564663023
deviation 1/5   iterations 831/2000   F1 0.5263241123387028   accuracy 0.6526674233825198   precision 0.6175441826215022   recall 0.5532793724966621
deviation 1/5   iterations 841/2000   F1 0.5022598870056497   accuracy 0.6095346197502838   precision 0.6095299459990182   recall 0.5473101920079729
deviation 1/5   iterations 851/2000   F1 0.5459788417998946   accuracy 0.6969353007945517   precision 0.6138500245459009   recall 0.5564662413868666
deviation 1/5   iterations 861/2000   F1 0.5461241609131562   accuracy 0.6946651532349603   precision 0.616678939617084   recall 0.5573927847000869
deviation 1/5   iterations 871/2000   F1 0.5165243902439025   accuracy 0.6322360953461975   precision 0.618298969072165   recall 0.552125243348475
deviation 1/5   iterations 881/2000   F1 0.5177352838451412   accuracy 0.6299659477866061   precision 0.6252454590083456   recall 0.5548567435359888
deviation 1/5   iterations 891/2000   F1 0.5240461172486233   accuracy 0.6538024971623155   precision 0.6099533627884144   recall 0.5501792315447519
deviation 1/5   iterations 901/2000   F1 0.5224429650290766   accuracy 0.6492622020431328   precision 0.6114936180657831   recall 0.5504700052222803
deviation 1/5   iterations 911/2000   F1 0.5113334701638744   accuracy 0.6288308740068105   precision 0.6081308296514483   recall 0.5476944480533541
deviation 1/5   iterations 921/2000   F1 0.5472149528293526   accuracy 0.7037457434733257   precision 0.609480854197349   recall 0.5554985255142035
deviation 1/5   iterations 931/2000   F1 0.5343282069105338   accuracy 0.6685584562996595   precision 0.6183296514482082   recall 0.555052131510729
deviation 1/5   iterations 941/2000   F1 0.520810416764415   accuracy 0.64472190692395   precision 0.6130338733431517   recall 0.5507762536938209
deviation 1/5   iterations 951/2000   F1 0.5342731277533039   accuracy 0.6730987514188422   precision 0.612671821305842   recall 0.5531063805171517
deviation 1/5   iterations 961/2000   F1 0.5221824492895109   accuracy 0.6424517593643587   precision 0.6199803632793324   recall 0.5535090696121469
deviation 1/5   iterations 971/2000   F1 0.5263775907193888   accuracy 0.6549375709421112   precision 0.6147152675503191   recall 0.5522797950645457
deviation 1/5   iterations 981/2000   F1 0.5491336234687298   accuracy 0.7116912599318955   precision 0.6057560137457045   recall 0.5550262455459202
deviation 1/5   iterations 991/2000   F1 0.5354010167691023   accuracy 0.684449489216799   precision 0.602644820814924   recall 0.5499886436990461
deviation 1/5   iterations 1001/2000   F1 0.4996245668078553   accuracy 0.5981838819523269   precision 0.6195569464899362   recall 0.5510133012149141
deviation 1/5   iterations 1011/2000   F1 0.5404559540977572   accuracy 0.7105561861520999   precision 0.5886413843888071   recall 0.5469481279251169
deviation 1/5   iterations 1021/2000   F1 0.5104170876611567   accuracy 0.6254256526674233   precision 0.6103154148257242   recall 0.548411681065127
deviation 1/5   iterations 1031/2000   F1 0.5198169477581243   accuracy 0.6390465380249716   precision 0.6180473735886107   recall 0.5524660717402687
deviation 1/5   iterations 1041/2000   F1 0.5477844625889319   accuracy 0.7071509648127128   precision 0.6072962690230732   recall 0.5550244203318144
deviation 1/5   iterations 1051/2000   F1 0.5279491412517741   accuracy 0.6640181611804767   precision 0.6075171821305843   recall 0.5500216976714972
deviation 1/5   iterations 1061/2000   F1 0.5209133705838356   accuracy 0.6492622020431328   precision 0.6073760432007855   recall 0.5487355169340463
deviation 1/5   iterations 1071/2000   F1 0.5477844625889319   accuracy 0.7071509648127128   precision 0.6072962690230732   recall 0.5550244203318144
deviation 1/5   iterations 1081/2000   F1 0.530946359643285   accuracy 0.6730987514188422   precision 0.6044366715758468   recall 0.5495631661715883
deviation 1/5   iterations 1091/2000   F1 0.5044827493297768   accuracy 0.6208853575482406   precision 0.5995029455081001   recall 0.5436666523041127
deviation 1/5   iterations 1101/2000   F1 0.5443614515741408   accuracy 0.6946651532349603   precision 0.6125613647520864   recall 0.5555949566587864
deviation 1/5   iterations 1111/2000   F1 0.541945744257883   accuracy 0.6912599318955732   precision 0.6106283750613648   recall 0.5543064391748602
deviation 1/5   iterations 1121/2000   F1 0.5264051950285984   accuracy 0.659477866061294   precision 0.6090574374079529   recall 0.5502749677506958
deviation 1/5   iterations 1131/2000   F1 0.5302504209718173   accuracy 0.6696935300794552   precision 0.6066212567501228   recall 0.5501703626703627
deviation 1/5   iterations 1141/2000   F1 0.5047168517756753   accuracy 0.6276958002270148   precision 0.5910162002945507   recall 0.540452085878862
deviation 1/5   iterations 1151/2000   F1 0.5463906909690042   accuracy 0.7105561861520999   precision 0.6009941089837997   recall 0.5526790858459766
deviation 1/5   iterations 1161/2000   F1 0.535229111305047   accuracy 0.6946651532349603   precision 0.5919734904270987   recall 0.546413972500929
deviation 1/5   iterations 1171/2000   F1 0.5085098332526727   accuracy 0.6401816118047673   precision 0.5857511045655375   recall 0.5389204545454546
deviation 1/5   iterations 1181/2000   F1 0.5194474129486152   accuracy 0.6662883087400681   precision 0.5841003927344133   recall 0.540052487608716
deviation 1/5   iterations 1191/2000   F1 0.535229111305047   accuracy 0.6946651532349603   precision 0.5919734904270987   recall 0.546413972500929
deviation 1/5   iterations 1201/2000   F1 0.5130115115249416   accuracy 0.6492622020431328   precision 0.5867881688757977   recall 0.5399497203547822
deviation 1/5   iterations 1211/2000   F1 0.5016628729537803   accuracy 0.623155505107832   precision 0.5884388807069219   recall 0.5391332681655262
deviation 1/5   iterations 1221/2000   F1 0.5440602211244413   accuracy 0.7128263337116912   precision 0.594047619047619   recall 0.5498114924596984
deviation 1/5   iterations 1231/2000   F1 0.5169332989291704   accuracy 0.6526674233825198   precision 0.5928387334315168   recall 0.5427982211962794
deviation 1/5   iterations 1241/2000   F1 0.538079793200995   accuracy 0.7071509648127128   precision 0.5867083946980854   recall 0.5455706490189248
deviation 1/5   iterations 1251/2000   F1 0.5232907131101654   accuracy 0.6719636776390465   precision 0.5873220422189493   recall 0.5419645174227947
deviation 1/5   iterations 1261/2000   F1 0.5139138431067412   accuracy 0.6458569807037458   precision 0.5930903289150712   recall 0.5424245475087813
deviation 1/5   iterations 1271/2000   F1 0.4792270652594872   accuracy 0.5720771850170261   precision 0.5965022091310751   recall 0.5408026651721776
deviation 1/5   iterations 1281/2000   F1 0.5538134355489149   accuracy 0.7264472190692395   precision 0.6017795778105056   recall 0.5557010827221193
deviation 1/5   iterations 1291/2000   F1 0.5397433098371904   accuracy 0.695800227014756   precision 0.600852970054001   recall 0.5505586523435096
deviation 1/5   iterations 1301/2000   F1 0.5049744815017982   accuracy 0.6174801362088536   precision 0.6058051055473737   recall 0.5461262707330123
deviation 1/5   iterations 1311/2000   F1 0.5383809274299187   accuracy 0.6912599318955732   precision 0.6023932253313696   recall 0.5506778919746337
deviation 1/5   iterations 1321/2000   F1 0.5255410391941757   accuracy 0.662883087400681   precision 0.6027552773686795   recall 0.547881709730181
deviation 1/5   iterations 1331/2000   F1 0.506674962375039   accuracy 0.6220204313280363   precision 0.604264850270005   recall 0.5457115953726124
deviation 1/5   iterations 1341/2000   F1 0.5224429650290766   accuracy 0.6492622020431328   precision 0.6114936180657831   recall 0.5504700052222803
deviation 1/5   iterations 1351/2000   F1 0.553379097134499   accuracy 0.7230419977298524   precision 0.6039641629847815   recall 0.5561052826789594
deviation 1/5   iterations 1361/2000   F1 0.5240512422775534   accuracy 0.656072644721907   precision 0.6071244477172312   recall 0.5491668919832364
deviation 1/5   iterations 1371/2000   F1 0.5512687551778098   accuracy 0.717366628830874   precision 0.604860088365243   recall 0.5555382215288611
deviation 1/5   iterations 1381/2000   F1 0.5447883883695805   accuracy 0.7003405221339387   precision 0.6075478645066273   recall 0.5541527623285132
deviation 1/5   iterations 1391/2000   F1 0.5420333655705996   accuracy 0.7071509648127128   precision 0.5949435444280805   recall 0.5494003754837227
deviation 1/5   iterations 1401/2000   F1 0.5375861571737562   accuracy 0.6901248581157775   precision 0.6017488954344624   recall 0.5502545917439534
deviation 1/5   iterations 1411/2000   F1 0.5474241403220923   accuracy 0.7014755959137344   precision 0.6123097692685322   recall 0.5564256557609539
deviation 1/5   iterations 1421/2000   F1 0.5375861571737562   accuracy 0.6901248581157775   precision 0.6017488954344624   recall 0.5502545917439534
deviation 1/5   iterations 1431/2000   F1 0.5427496193586073   accuracy 0.6923950056753689   precision 0.611272704958272   recall 0.554733531343572
deviation 1/5   iterations 1441/2000   F1 0.5453564035186581   accuracy 0.7037457434733257   precision 0.6053632793323516   recall 0.55365625
deviation 1/5   iterations 1451/2000   F1 0.5476019307795008   accuracy 0.699205448354143   precision 0.6151386843397153   recall 0.5573476373861482
deviation 1/5   iterations 1461/2000   F1 0.5245704845814978   accuracy 0.6662883087400681   precision 0.596453117329406   recall 0.5454619077919824
deviation 1/5   iterations 1471/2000   F1 0.5407732806780593   accuracy 0.6946651532349603   precision 0.6043262150220913   recall 0.5519622226297451
deviation 1/5   iterations 1481/2000   F1 0.5216432937792161   accuracy 0.6572077185017026   precision 0.5995336278841434   recall 0.5460225402626293
deviation 1/5   iterations 1491/2000   F1 0.5389471554442752   accuracy 0.6946651532349603   precision 0.6002086401570937   recall 0.5501264672658513
deviation 1/5   iterations 1501/2000   F1 0.5367926990267415   accuracy 0.6889897843359818   precision 0.6011045655375552   recall 0.5498336458774424
deviation 1/5   iterations 1511/2000   F1 0.5502267335355415   accuracy 0.7105561861520999   precision 0.6092292587137949   recall 0.556418383518225
deviation 1/5   iterations 1521/2000   F1 0.5421963489577057   accuracy 0.6867196367763905   precision 0.616286205203731   recall 0.5561981020166074
deviation 1/5   iterations 1531/2000   F1 0.5349976387358439   accuracy 0.6765039727582293   precision 0.6104872361315661   recall 0.5525264017737325
deviation 1/5   iterations 1541/2000   F1 0.5436467235291325   accuracy 0.7150964812712827   precision 0.5912187039764359   recall 0.5488273551438707
deviation 1/5   iterations 1551/2000   F1 0.5325236738207617   accuracy 0.6753688989784336   precision 0.6057253313696612   recall 0.5503512812120078
deviation 1/5   iterations 1561/2000   F1 0.499983208403858   accuracy 0.6163450624290578   precision 0.5928080510554737   recall 0.5406493576304897
deviation 1/5   iterations 1571/2000   F1 0.5543074233590186   accuracy 0.7060158910329172   precision 0.6231222385861561   recall 0.5618579585393826
deviation 1/5   iterations 1581/2000   F1 0.5510505409501908   accuracy 0.7343927355278093   precision 0.589819587628866   recall 0.5514358606730202
deviation 1/5   iterations 1591/2000   F1 0.5488402624955265   accuracy 0.7060158910329172   precision 0.6107695139911635   recall 0.556409375
deviation 1/5   iterations 1601/2000   F1 0.5443614515741408   accuracy 0.6946651532349603   precision 0.6125613647520864   recall 0.5555949566587864
deviation 1/5   iterations 1611/2000   F1 0.551290009390568   accuracy 0.7094211123723042   precision 0.6127025036818852   recall 0.5577968832607437
deviation 1/5   iterations 1621/2000   F1 0.5447588987074232   accuracy 0.6855845629965948   precision 0.6238770250368189   recall 0.5593142151965681
deviation 1/5   iterations 1631/2000   F1 0.5553818151733267   accuracy 0.7230419977298524   precision 0.608081737849779   recall 0.5580100125156445
deviation 1/5   iterations 1641/2000   F1 0.5492308620142914   accuracy 0.7014755959137344   precision 0.6164273441335297   recall 0.5582394037620942
deviation 1/5   iterations 1651/2000   F1 0.5509192857039671   accuracy 0.7196367763904654   precision 0.6020311732940599   recall 0.5546150308763631
deviation 1/5   iterations 1661/2000   F1 0.5466128126754413   accuracy 0.7003405221339387   precision 0.611665439371625   recall 0.5559790566896772
deviation 1/5   iterations 1671/2000   F1 0.542673165319385   accuracy 0.70261066969353   precision 0.6006013745704468   recall 0.5513499968677567
deviation 1/5   iterations 1681/2000   F1 0.5246795666311844   accuracy 0.6640181611804767   precision 0.5992820324005891   recall 0.5464865703547909
deviation 1/5   iterations 1691/2000   F1 0.5556999704792206   accuracy 0.720771850170261   precision 0.6109106529209622   recall 0.558896753085937
deviation 1/5   iterations 1701/2000   F1 0.5604023320552549   accuracy 0.7412031782065834   precision 0.6019207167403043   recall 0.5587430147839004
update
deviation 1/5   iterations 1711/2000   F1 0.5504514875412299   accuracy 0.7162315550510783   precision 0.6042157584683358   recall 0.5550538122406639
deviation 1/5   iterations 1721/2000   F1 0.544777904889048   accuracy 0.7082860385925085   precision 0.5997054491899853   recall 0.5517504968659226
deviation 1/5   iterations 1731/2000   F1 0.5331877917307155   accuracy 0.6787741203178207   precision 0.6035407461953853   recall 0.5497587703777101
deviation 1/5   iterations 1741/2000   F1 0.5331877917307155   accuracy 0.6787741203178207   precision 0.6035407461953853   recall 0.5497587703777101
deviation 1/5   iterations 1751/2000   F1 0.5431953771669531   accuracy 0.717366628830874   precision 0.5883897889052528   recall 0.5478322087030445
deviation 1/5   iterations 1761/2000   F1 0.5431953771669531   accuracy 0.717366628830874   precision 0.5883897889052528   recall 0.5478322087030445
deviation 1/5   iterations 1771/2000   F1 0.5621112631098951   accuracy 0.7525539160045402   precision 0.5960112911143839   recall 0.5584809748075054
update
deviation 1/5   iterations 1781/2000   F1 0.5388503524222035   accuracy 0.70261066969353   precision 0.5923662248404516   recall 0.5475937519762221
deviation 1/5   iterations 1791/2000   F1 0.5183640489616284   accuracy 0.6390465380249716   precision 0.6139297987236132   recall 0.5507517358263627
deviation 1/5   iterations 1801/2000   F1 0.542832970898173   accuracy 0.7082860385925085   precision 0.5955878743249877   recall 0.5498591639459702
deviation 1/5   iterations 1811/2000   F1 0.55210024437343   accuracy 0.7298524404086265   precision 0.5954774177712322   recall 0.553335390100096
deviation 1/5   iterations 1821/2000   F1 0.5460574429891629   accuracy 0.7185017026106697   precision 0.5931516936671576   recall 0.5502702273088539
deviation 1/5   iterations 1831/2000   F1 0.540540857285166   accuracy 0.6969353007945517   precision 0.6014972999509082   recall 0.5509933529825254
deviation 1/5   iterations 1841/2000   F1 0.5535130154342317   accuracy 0.7377979568671964   precision 0.5917525773195876   recall 0.5530551415797318
deviation 1/5   iterations 1851/2000   F1 0.5569170669328176   accuracy 0.7071509648127128   precision 0.6278841433480609   recall 0.5641096632089286
deviation 1/5   iterations 1861/2000   F1 0.5590262265243651   accuracy 0.7253121452894438   precision 0.6134879725085911   recall 0.5609116658981622
deviation 1/5   iterations 1871/2000   F1 0.5637842617152962   accuracy 0.7457434733257662   precision 0.6044980363279332   recall 0.5610279677174271
update
deviation 1/5   iterations 1881/2000   F1 0.5466991000730753   accuracy 0.7082860385925085   precision 0.6038230240549829   recall 0.5536259904912837
deviation 1/5   iterations 1891/2000   F1 0.5461642098589318   accuracy 0.7048808172531215   precision 0.6060076092292588   recall 0.5541095032262107
deviation 1/5   iterations 1901/2000   F1 0.5562933807347216   accuracy 0.7298524404086265   precision 0.6037125675012274   recall 0.5572527100271003
deviation 1/5   iterations 1911/2000   F1 0.560022007787371   accuracy 0.7321225879682179   precision 0.6091188021600393   recall 0.5602371273712737
deviation 1/5   iterations 1921/2000   F1 0.5517448132736282   accuracy 0.7264472190692395   precision 0.5976620029455081   recall 0.5537559954063366
deviation 1/5   iterations 1931/2000   F1 0.5564229338655539   accuracy 0.7480136208853575   precision 0.5893163966617575   recall 0.5540082227565529
deviation 1/5   iterations 1941/2000   F1 0.5591847333852692   accuracy 0.7309875141884222   precision 0.6084744722631321   recall 0.5597074917246504
deviation 1/5   iterations 1951/2000   F1 0.5476644881511256   accuracy 0.7150964812712827   precision 0.599453853706431   recall 0.5526748569942798
deviation 1/5   iterations 1961/2000   F1 0.553379097134499   accuracy 0.7230419977298524   precision 0.6039641629847815   recall 0.5561052826789594
deviation 1/5   iterations 1971/2000   F1 0.5559836771854525   accuracy 0.7185017026106697   precision 0.6137395679921454   recall 0.559777210160352
deviation 1/5   iterations 1981/2000   F1 0.5663452693567822   accuracy 0.7491486946651532   precision 0.6064310260186548   recall 0.5627914385842964
update
deviation 1/5   iterations 1991/2000   F1 0.5550362816865391   accuracy 0.7309875141884222   precision 0.6002393225331369   recall 0.5558278308657671

deviation 2/5   iterations 1/2000   F1 0.18856930324820234   accuracy 0.18863636363636363   precision 0.4652534562211982   recall 0.4627720504009164
update
deviation 2/5   iterations 11/2000   F1 0.5831041017177089   accuracy 0.8590909090909091   precision 0.5700768049155146   recall 0.617725386568674
update
deviation 2/5   iterations 21/2000   F1 0.37239673724401257   accuracy 0.4022727272727273   precision 0.5618433179723502   recall 0.5290642271774347
deviation 2/5   iterations 31/2000   F1 0.47786223307580367   accuracy 0.5681818181818182   precision 0.5984024577572964   recall 0.5415673877044628
deviation 2/5   iterations 41/2000   F1 0.4319453290413647   accuracy 0.48863636363636365   precision 0.5902918586789554   recall 0.5385997446821924
deviation 2/5   iterations 51/2000   F1 0.4089894670977161   accuracy 0.4511363636363636   precision 0.5895852534562211   recall 0.5397058823529411
deviation 2/5   iterations 61/2000   F1 0.42230002693239965   accuracy 0.4681818181818182   precision 0.603379416282642   recall 0.5452209577973564
deviation 2/5   iterations 71/2000   F1 0.4272867116317596   accuracy 0.475   precision 0.6072503840245775   recall 0.5466613914745053
deviation 2/5   iterations 81/2000   F1 0.4462719533992383   accuracy 0.5011363636363636   precision 0.6220890937019969   recall 0.5522246052271915
deviation 2/5   iterations 91/2000   F1 0.40748395040014074   accuracy 0.4431818181818182   precision 0.6097695852534563   recall 0.5497801481283333
deviation 2/5   iterations 101/2000   F1 0.4878737735880593   accuracy 0.5647727272727273   precision 0.6417511520737327   recall 0.5595926928561097
deviation 2/5   iterations 111/2000   F1 0.4521841794569067   accuracy 0.5056818181818182   precision 0.6370199692780338   recall 0.5586842105263158
deviation 2/5   iterations 121/2000   F1 0.46778666581170547   accuracy 0.5284090909090909   precision 0.6458064516129033   recall 0.5617467058015362
deviation 2/5   iterations 131/2000   F1 0.47952302329847735   accuracy 0.5420454545454545   precision 0.6617818740399386   recall 0.5683186299948105
deviation 2/5   iterations 141/2000   F1 0.493556140005606   accuracy 0.5613636363636364   precision 0.6727496159754225   recall 0.5726744937471243
deviation 2/5   iterations 151/2000   F1 0.529737753587333   accuracy 0.6318181818181818   precision 0.6592319508448541   recall 0.5689320388349515
deviation 2/5   iterations 161/2000   F1 0.4961802014563541   accuracy 0.5636363636363636   precision 0.6781566820276498   recall 0.5749492066938598
deviation 2/5   iterations 171/2000   F1 0.5216396134533212   accuracy 0.6170454545454546   precision 0.6590783410138249   recall 0.5680470573393048
deviation 2/5   iterations 181/2000   F1 0.4846890478811227   accuracy 0.5465909090909091   precision 0.6725960061443932   recall 0.5728853139595226
deviation 2/5   iterations 191/2000   F1 0.5109257542051706   accuracy 0.5852272727272727   precision 0.6862980030721966   recall 0.5783316798941799
deviation 2/5   iterations 201/2000   F1 0.5463087203239116   accuracy 0.6511363636363636   precision 0.6784331797235024   recall 0.578125
deviation 2/5   iterations 211/2000   F1 0.541750239424658   accuracy 0.6397727272727273   precision 0.6843317972350231   recall 0.5796110733695652
deviation 2/5   iterations 221/2000   F1 0.45890551342488217   accuracy 0.509090909090909   precision 0.6595391705069125   recall 0.568650157843806
deviation 2/5   iterations 231/2000   F1 0.5595056322203336   accuracy 0.6840909090909091   precision 0.6642089093701997   recall 0.5759617079091132
deviation 2/5   iterations 241/2000   F1 0.4647776465958284   accuracy 0.5170454545454546   precision 0.6640552995391704   recall 0.5702631578947368
deviation 2/5   iterations 251/2000   F1 0.5392549543181758   accuracy 0.6363636363636364   precision 0.6823963133640554   recall 0.5785987004803033
deviation 2/5   iterations 261/2000   F1 0.5112820070487007   accuracy 0.5829545454545455   precision 0.6932411674347159   recall 0.5812258517737969
deviation 2/5   iterations 271/2000   F1 0.5428756467945302   accuracy 0.65   precision 0.6695545314900153   recall 0.5744527004786342
deviation 2/5   iterations 281/2000   F1 0.5306159847116416   accuracy 0.6295454545454545   precision 0.6661751152073733   recall 0.5716086189823077
deviation 2/5   iterations 291/2000   F1 0.5260444718011849   accuracy 0.6181818181818182   precision 0.672073732718894   recall 0.5733918266584902
deviation 2/5   iterations 301/2000   F1 0.528509989236049   accuracy 0.6215909090909091   precision 0.6740092165898617   recall 0.5743447580645161
deviation 2/5   iterations 311/2000   F1 0.5255716619028175   accuracy 0.615909090909091   precision 0.674900153609831   recall 0.5744381508271487
deviation 2/5   iterations 321/2000   F1 0.5354801937874039   accuracy 0.6295454545454545   precision 0.6826420890937019   recall 0.5782735320914898
deviation 2/5   iterations 331/2000   F1 0.5176989158162275   accuracy 0.5988636363636364   precision 0.681689708141321   recall 0.5766363956791276
deviation 2/5   iterations 341/2000   F1 0.5496801705756931   accuracy 0.6727272727272727   precision 0.6536405529953917   recall 0.5702486304256216
deviation 2/5   iterations 351/2000   F1 0.5154655870445344   accuracy 0.5943181818181819   precision 0.6832258064516129   recall 0.5771739130434783
deviation 2/5   iterations 361/2000   F1 0.5359375000000001   accuracy 0.6318181818181818   precision 0.679815668202765   recall 0.5772673267326732
deviation 2/5   iterations 371/2000   F1 0.531805134424904   accuracy 0.6261363636363636   precision 0.6765898617511521   recall 0.5756315789473684
deviation 2/5   iterations 381/2000   F1 0.5193232494478733   accuracy 0.6056818181818182   precision 0.6732104454685099   recall 0.5733518599471263
deviation 2/5   iterations 391/2000   F1 0.53803046111647   accuracy 0.6363636363636364   precision 0.6782795698924731   recall 0.576938783086461
deviation 2/5   iterations 401/2000   F1 0.5326303790253634   accuracy 0.6272727272727273   precision 0.6772350230414746   recall 0.5759562668857535
deviation 2/5   iterations 411/2000   F1 0.5154116208433592   accuracy 0.6034090909090909   precision 0.6636866359447005   recall 0.569375
deviation 2/5   iterations 421/2000   F1 0.5219456087275832   accuracy 0.6125   precision 0.6688479262672811   recall 0.5718258614921379
deviation 2/5   iterations 431/2000   F1 0.537569178373776   accuracy 0.6409090909090909   precision 0.6685099846390169   recall 0.5733135870059185
deviation 2/5   iterations 441/2000   F1 0.5211272984171234   accuracy 0.6113636363636363   precision 0.6682027649769585   recall 0.5715159020016616
deviation 2/5   iterations 451/2000   F1 0.5030965391621129   accuracy 0.5772727272727273   precision 0.6735483870967742   recall 0.5729562185199535
deviation 2/5   iterations 461/2000   F1 0.5483426186439099   accuracy 0.6556818181818181   precision 0.6768970814132105   recall 0.5779101989565066
deviation 2/5   iterations 471/2000   F1 0.5281608998710884   accuracy 0.6261363636363636   precision 0.6642396313364055   recall 0.5706231109044408
deviation 2/5   iterations 481/2000   F1 0.5097155448717949   accuracy 0.5954545454545455   precision 0.6591705069124424   recall 0.567281869607451
deviation 2/5   iterations 491/2000   F1 0.5426904590304151   accuracy 0.6534090909090909   precision 0.6632565284178187   recall 0.5722026565794909
deviation 2/5   iterations 501/2000   F1 0.5235836627140975   accuracy 0.6147727272727272   precision 0.6701382488479263   recall 0.5724489795918367
deviation 2/5   iterations 511/2000   F1 0.5226097670144607   accuracy 0.6102272727272727   precision 0.6757910906298004   recall 0.5745689026043078
deviation 2/5   iterations 521/2000   F1 0.5506800142346552   accuracy 0.6625   precision 0.6725345622119816   recall 0.576811974789916
deviation 2/5   iterations 531/2000   F1 0.5127695247007448   accuracy 0.5965909090909091   precision 0.6680491551459293   recall 0.570965230928905
deviation 2/5   iterations 541/2000   F1 0.49915697119969477   accuracy 0.5761363636363637   precision 0.6605529953917051   recall 0.5675193798449613
deviation 2/5   iterations 551/2000   F1 0.5425244333541277   accuracy 0.6477272727272727   precision 0.6723809523809524   recall 0.5754040993167805
deviation 2/5   iterations 561/2000   F1 0.5384463137060861   accuracy 0.6386363636363637   precision 0.6754531490015361   recall 0.5759542492352706
deviation 2/5   iterations 571/2000   F1 0.497837091578463   accuracy 0.5772727272727273   precision 0.6529646697388634   recall 0.5643697478991596
deviation 2/5   iterations 581/2000   F1 0.5488123267062895   accuracy 0.6545454545454545   precision 0.6803686635944701   recall 0.5792012691629028
deviation 2/5   iterations 591/2000   F1 0.5081400232219174   accuracy 0.5886363636363636   precision 0.6676497695852535   recall 0.5706283424536263
deviation 2/5   iterations 601/2000   F1 0.5310292226682247   accuracy 0.6284090909090909   precision 0.6696466973886328   recall 0.5729481515926529
deviation 2/5   iterations 611/2000   F1 0.5093905229451017   accuracy 0.5965909090909091   precision 0.6556989247311829   recall 0.5658852649970879
deviation 2/5   iterations 621/2000   F1 0.5222857142857142   accuracy 0.6113636363636363   precision 0.6723195084485407   recall 0.5731958762886598
deviation 2/5   iterations 631/2000   F1 0.5268657746449487   accuracy 0.6193181818181818   precision 0.6727188940092166   recall 0.5737083342073798
deviation 2/5   iterations 641/2000   F1 0.517682514106593   accuracy 0.6034090909090909   precision 0.6719201228878648   recall 0.5727493967884183
deviation 2/5   iterations 651/2000   F1 0.5346424010217113   accuracy 0.6386363636363637   precision 0.6631029185867896   recall 0.5709611364474788
deviation 2/5   iterations 661/2000   F1 0.5418662891986062   accuracy 0.6522727272727272   precision 0.6626113671274962   recall 0.5718411865943505
deviation 2/5   iterations 671/2000   F1 0.5129682272144097   accuracy 0.6   precision 0.6617511520737327   recall 0.5684723067559343
deviation 2/5   iterations 681/2000   F1 0.5487679813742066   accuracy 0.6636363636363637   precision 0.6649462365591398   recall 0.5738640428353666
deviation 2/5   iterations 691/2000   F1 0.5415550323401261   accuracy 0.65   precision 0.6654377880184332   recall 0.5727895496645058
deviation 2/5   iterations 701/2000   F1 0.4789816459443458   accuracy 0.5465909090909091   precision 0.6478955453149002   recall 0.5622684658208986
deviation 2/5   iterations 711/2000   F1 0.543206106870229   accuracy 0.6522727272727272   precision 0.6667281105990783   recall 0.5735067045916294
deviation 2/5   iterations 721/2000   F1 0.5358020225769017   accuracy 0.6420454545454546   precision 0.660921658986175   recall 0.5703260939614616
deviation 2/5   iterations 731/2000   F1 0.4853152893751799   accuracy 0.5568181818181818   precision 0.6495852534562212   recall 0.5628904009795868
deviation 2/5   iterations 741/2000   F1 0.5244785474981087   accuracy 0.6193181818181818   precision 0.6644854070660522   recall 0.5703599739271221
deviation 2/5   iterations 751/2000   F1 0.5216396134533212   accuracy 0.6170454545454546   precision 0.6590783410138249   recall 0.5680470573393048
deviation 2/5   iterations 761/2000   F1 0.5248957912810013   accuracy 0.6215909090909091   precision 0.6616589861751152   recall 0.5693258711186998
deviation 2/5   iterations 771/2000   F1 0.5010815241170634   accuracy 0.5818181818181818   precision 0.6555453149001536   recall 0.5655017879413576
deviation 2/5   iterations 781/2000   F1 0.5529990842490843   accuracy 0.6772727272727272   precision 0.656221198156682   recall 0.5718386744952221
deviation 2/5   iterations 791/2000   F1 0.5089032391189147   accuracy 0.5943181818181819   precision 0.6585253456221198   recall 0.5669865403788634
deviation 2/5   iterations 801/2000   F1 0.5379264214046823   accuracy 0.6431818181818182   precision 0.6656835637480798   recall 0.5723407109322602
deviation 2/5   iterations 811/2000   F1 0.5451682685725239   accuracy 0.6568181818181819   precision 0.6651920122887864   recall 0.5732964738084723
deviation 2/5   iterations 821/2000   F1 0.5114753009389961   accuracy 0.6011363636363637   precision 0.654162826420891   recall 0.5653943993828061
deviation 2/5   iterations 831/2000   F1 0.5338232241458047   accuracy 0.6375   precision 0.6624577572964669   recall 0.5706196581196581
deviation 2/5   iterations 841/2000   F1 0.5421561379008187   accuracy 0.6545454545454545   precision 0.6597849462365591   recall 0.5708973331370399
deviation 2/5   iterations 851/2000   F1 0.5054708935241811   accuracy 0.5943181818181819   precision 0.6461751152073734   recall 0.5619028289514769
deviation 2/5   iterations 861/2000   F1 0.5380530342026267   accuracy 0.6488636363636363   precision 0.6565591397849462   recall 0.5690949323151683
deviation 2/5   iterations 871/2000   F1 0.5188006794085339   accuracy 0.6147727272727272   precision 0.6536712749615976   recall 0.5657341407514876
deviation 2/5   iterations 881/2000   F1 0.5182935696766783   accuracy 0.6193181818181818   precision 0.6439016897081413   recall 0.5619655405977478
deviation 2/5   iterations 891/2000   F1 0.5253482154635887   accuracy 0.6329545454545454   precision 0.643410138248848   recall 0.5625589673213827
deviation 2/5   iterations 901/2000   F1 0.5170182265001024   accuracy 0.6193181818181818   precision 0.6397849462365591   recall 0.5602808691043986
deviation 2/5   iterations 911/2000   F1 0.5155670468752759   accuracy 0.6102272727272727   precision 0.6510906298003072   recall 0.5644784040611692
deviation 2/5   iterations 921/2000   F1 0.5296006234690123   accuracy 0.6352272727272728   precision 0.6529339477726575   recall 0.5665949613647553
deviation 2/5   iterations 931/2000   F1 0.5268945993031359   accuracy 0.6409090909090909   precision 0.6355760368663594   recall 0.559897063374432
deviation 2/5   iterations 941/2000   F1 0.519097358569596   accuracy 0.6204545454545455   precision 0.644546850998464   recall 0.5622885103183135
deviation 2/5   iterations 951/2000   F1 0.529647370842467   accuracy 0.6409090909090909   precision 0.6438095238095238   recall 0.5632735156879389
deviation 2/5   iterations 961/2000   F1 0.5347855240334352   accuracy 0.6443181818181818   precision 0.6539784946236559   recall 0.5676799758015729
deviation 2/5   iterations 971/2000   F1 0.4770011275636433   accuracy 0.5465909090909091   precision 0.6396620583717358   recall 0.5587630038675518
deviation 2/5   iterations 981/2000   F1 0.5320731382052497   accuracy 0.6443181818181818   precision 0.6457450076804916   recall 0.5643222839291913
deviation 2/5   iterations 991/2000   F1 0.5320401337792642   accuracy 0.6386363636363637   precision 0.6548694316436252   recall 0.5676190476190476
deviation 2/5   iterations 1001/2000   F1 0.5001797298916486   accuracy 0.5852272727272727   precision 0.6451305683563748   recall 0.5612501037258318
deviation 2/5   iterations 1011/2000   F1 0.5414582969050533   accuracy 0.6613636363636364   precision 0.6471889400921659   recall 0.5664033264033265
deviation 2/5   iterations 1021/2000   F1 0.5293031998974667   accuracy 0.6443181818181818   precision 0.6375115207373272   recall 0.5609477124183007
deviation 2/5   iterations 1031/2000   F1 0.49984698115682247   accuracy 0.5863636363636363   precision 0.6416589861751152   recall 0.5598399078068304
deviation 2/5   iterations 1041/2000   F1 0.5459616242748773   accuracy 0.6636363636363637   precision 0.6567127496159755   recall 0.5705216472839281
deviation 2/5   iterations 1051/2000   F1 0.4966394966394967   accuracy 0.5818181818181818   precision 0.6390783410138249   recall 0.5586791171301024
deviation 2/5   iterations 1061/2000   F1 0.5280339470151318   accuracy 0.6386363636363637   precision 0.6425192012288787   recall 0.5625812787679623
deviation 2/5   iterations 1071/2000   F1 0.5146986491253347   accuracy 0.6215909090909091   precision 0.6287250384024577   recall 0.5558618997845517
deviation 2/5   iterations 1081/2000   F1 0.5107183030692592   accuracy 0.6068181818181818   precision 0.640921658986175   recall 0.5601731601731602
deviation 2/5   iterations 1091/2000   F1 0.5178192937903157   accuracy 0.6204545454545455   precision 0.6404301075268817   recall 0.5606043731670193
deviation 2/5   iterations 1101/2000   F1 0.5195559314796797   accuracy 0.6193181818181818   precision 0.6480184331797235   recall 0.5636479888398047
deviation 2/5   iterations 1111/2000   F1 0.5046665492692008   accuracy 0.5931818181818181   precision 0.6455299539170507   recall 0.5616055683006383
deviation 2/5   iterations 1121/2000   F1 0.5510458590782834   accuracy 0.6829545454545455   precision 0.6429800307219662   recall 0.5670852648815702
deviation 2/5   iterations 1131/2000   F1 0.5442435115033664   accuracy 0.6693181818181818   precision 0.6434715821812595   recall 0.565691746753393
deviation 2/5   iterations 1141/2000   F1 0.5004962779156327   accuracy 0.5840909090909091   precision 0.6486021505376344   recall 0.562663557455629
deviation 2/5   iterations 1151/2000   F1 0.5285521195986074   accuracy 0.6284090909090909   precision 0.6614132104454685   recall 0.5696078431372549
deviation 2/5   iterations 1161/2000   F1 0.5520972780008925   accuracy 0.6681818181818182   precision 0.6675268817204301   recall 0.5753880695234778
deviation 2/5   iterations 1171/2000   F1 0.5358020225769017   accuracy 0.6420454545454546   precision 0.660921658986175   recall 0.5703260939614616
deviation 2/5   iterations 1181/2000   F1 0.529368532262404   accuracy 0.6295454545454545   precision 0.6620583717357911   recall 0.5699383216924145
deviation 2/5   iterations 1191/2000   F1 0.529737753587333   accuracy 0.6318181818181818   precision 0.6592319508448541   recall 0.5689320388349515
deviation 2/5   iterations 1201/2000   F1 0.5211694289621907   accuracy 0.6215909090909091   precision 0.6493087557603687   recall 0.5642938785877571
deviation 2/5   iterations 1211/2000   F1 0.5307456989699981   accuracy 0.6545454545454545   precision 0.6268509984639017   recall 0.5573755912645697
deviation 2/5   iterations 1221/2000   F1 0.5247399166610238   accuracy 0.6284090909090909   precision 0.6490629800307219   recall 0.564581736093364
deviation 2/5   iterations 1231/2000   F1 0.5207066034083377   accuracy 0.6227272727272727   precision 0.6458371735791091   recall 0.5629378602983681
deviation 2/5   iterations 1241/2000   F1 0.5192029567732604   accuracy 0.6136363636363636   precision 0.6571428571428571   recall 0.5670995670995671
deviation 2/5   iterations 1251/2000   F1 0.542608994907037   accuracy 0.6670454545454545   precision 0.6421812596006145   recall 0.5649183050543137
deviation 2/5   iterations 1261/2000   F1 0.5402985074626865   accuracy 0.6659090909090909   precision 0.6374193548387097   recall 0.5628318584070796
deviation 2/5   iterations 1271/2000   F1 0.529647370842467   accuracy 0.6409090909090909   precision 0.6438095238095238   recall 0.5632735156879389
deviation 2/5   iterations 1281/2000   F1 0.5306954546771145   accuracy 0.6443181818181818   precision 0.6416282642089093   recall 0.5626372312441574
deviation 2/5   iterations 1291/2000   F1 0.5301076152139982   accuracy 0.6454545454545455   precision 0.6381566820276497   recall 0.5613007704513111
deviation 2/5   iterations 1301/2000   F1 0.5208054629477615   accuracy 0.6193181818181818   precision 0.6521351766513057   recall 0.5653284363390746
deviation 2/5   iterations 1311/2000   F1 0.5226376650525257   accuracy 0.6272727272727273   precision 0.6443010752688172   recall 0.5625696031885588
deviation 2/5   iterations 1321/2000   F1 0.5256192157132756   accuracy 0.6352272727272728   precision 0.640583717357911   recall 0.5615530303030303
deviation 2/5   iterations 1331/2000   F1 0.5272727272727272   accuracy 0.6454545454545455   precision 0.6299231950844855   recall 0.5579077091606189
deviation 2/5   iterations 1341/2000   F1 0.5174903230438841   accuracy 0.6181818181818182   precision 0.6432565284178188   recall 0.561643690742474
deviation 2/5   iterations 1351/2000   F1 0.561164861612515   accuracy 0.7056818181818182   precision 0.639416282642089   recall 0.568882817243473
deviation 2/5   iterations 1361/2000   F1 0.535551395185317   accuracy 0.6511363636363636   precision 0.6454992319508448   recall 0.5647759103641457
deviation 2/5   iterations 1371/2000   F1 0.5250550089259768   accuracy 0.6306818181818182   precision 0.646236559139785   recall 0.5635683760683761
deviation 2/5   iterations 1381/2000   F1 0.5323108471824668   accuracy 0.6465909090909091   precision 0.6429185867895545   recall 0.5633442265795207
deviation 2/5   iterations 1391/2000   F1 0.506296324792901   accuracy 0.6022727272727273   precision 0.6342242703533026   recall 0.5572485075291811
deviation 2/5   iterations 1401/2000   F1 0.5413909313165262   accuracy 0.6761363636363636   precision 0.6267588325652842   recall 0.5594743882469614
deviation 2/5   iterations 1411/2000   F1 0.5139054272181207   accuracy 0.6204545454545455   precision 0.6280798771121352   recall 0.5555360178184163
deviation 2/5   iterations 1421/2000   F1 0.5175438596491229   accuracy 0.6295454545454545   precision 0.6250076804915514   recall 0.5547854092277533
deviation 2/5   iterations 1431/2000   F1 0.5274259264392028   accuracy 0.6477272727272727   precision 0.6270967741935484   recall 0.5569147970217754
deviation 2/5   iterations 1441/2000   F1 0.5365182424938568   accuracy 0.6670454545454545   precision 0.6257142857142857   recall 0.5580669330669331
deviation 2/5   iterations 1451/2000   F1 0.5224091951259019   accuracy 0.6306818181818182   precision 0.6380030721966206   recall 0.5602002744660777
deviation 2/5   iterations 1461/2000   F1 0.5586489942495731   accuracy 0.7022727272727273   precision 0.6374807987711213   recall 0.5675121144643385
deviation 2/5   iterations 1471/2000   F1 0.5283511318979257   accuracy 0.6511363636363636   precision 0.6249155145929339   recall 0.5562833602799495
deviation 2/5   iterations 1481/2000   F1 0.5357150548054354   accuracy 0.6659090909090909   precision 0.6250691244239631   recall 0.5576828252257154
deviation 2/5   iterations 1491/2000   F1 0.5130208333333334   accuracy 0.6136363636363636   precision 0.6365591397849462   recall 0.5586798679867987
deviation 2/5   iterations 1501/2000   F1 0.5486582947785856   accuracy 0.6693181818181818   precision 0.6558218125960061   recall 0.5707589285714286
deviation 2/5   iterations 1511/2000   F1 0.5275546630968317   accuracy 0.65   precision 0.6242703533026114   recall 0.5559223805652792
deviation 2/5   iterations 1521/2000   F1 0.503024042708268   accuracy 0.6011363636363637   precision 0.6253456221198157   recall 0.5535534274193548
deviation 2/5   iterations 1531/2000   F1 0.5351391176818121   accuracy 0.6545454545454545   precision 0.6392012288786482   recall 0.5624865538755178
deviation 2/5   iterations 1541/2000   F1 0.5149172473867596   accuracy 0.6318181818181818   precision 0.61394777265745   recall 0.5503417647984972
deviation 2/5   iterations 1551/2000   F1 0.5380660187217271   accuracy 0.6670454545454545   precision 0.629831029185868   recall 0.5597906055461234
deviation 2/5   iterations 1561/2000   F1 0.5306954546771145   accuracy 0.6443181818181818   precision 0.6416282642089093   recall 0.5626372312441574
deviation 2/5   iterations 1571/2000   F1 0.5430944963655244   accuracy 0.6636363636363637   precision 0.6484792626728111   recall 0.5671582060018565
deviation 2/5   iterations 1581/2000   F1 0.5344861462606911   accuracy 0.6420454545454546   precision 0.656804915514593   recall 0.568655303030303
deviation 2/5   iterations 1591/2000   F1 0.5486979685505353   accuracy 0.6840909090909091   precision 0.6353917050691245   recall 0.5640585844608148
deviation 2/5   iterations 1601/2000   F1 0.5520057922483427   accuracy 0.6931818181818182   precision 0.6323195084485407   recall 0.5639707935527183
deviation 2/5   iterations 1611/2000   F1 0.5293748529296415   accuracy 0.6590909090909091   precision 0.6170814132104454   recall 0.553684827380248
deviation 2/5   iterations 1621/2000   F1 0.5212121212121212   accuracy 0.6409090909090909   precision 0.6191090629800307   recall 0.5530877721484322
deviation 2/5   iterations 1631/2000   F1 0.5185302502375673   accuracy 0.6329545454545454   precision 0.6228264208909371   recall 0.5540960360243338
deviation 2/5   iterations 1641/2000   F1 0.5372596153846154   accuracy 0.6659090909090909   precision 0.6291858678955453   recall 0.5594064161754982
deviation 2/5   iterations 1651/2000   F1 0.5462659451893134   accuracy 0.6852272727272727   precision 0.6278033794162827   recall 0.5609984984984985
deviation 2/5   iterations 1661/2000   F1 0.5330289545165579   accuracy 0.6556818181818181   precision 0.6316129032258064   recall 0.5594524380495604
deviation 2/5   iterations 1671/2000   F1 0.5413957376910313   accuracy 0.678409090909091   precision 0.6239324116743472   recall 0.5585370667038146
deviation 2/5   iterations 1681/2000   F1 0.5139252282109426   accuracy 0.6113636363636363   precision 0.6435023041474655   recall 0.5614220567118489
deviation 2/5   iterations 1691/2000   F1 0.5364542319978716   accuracy 0.6647727272727273   precision 0.6285407066052228   recall 0.5590240158902131
deviation 2/5   iterations 1701/2000   F1 0.5389340560072267   accuracy 0.6704545454545454   precision 0.6276497695852534   recall 0.5592302209550962
deviation 2/5   iterations 1711/2000   F1 0.5485734659574623   accuracy 0.6795454545454546   precision 0.6410445468509984   recall 0.5658570453124013
deviation 2/5   iterations 1721/2000   F1 0.5309168443496801   accuracy 0.6590909090909091   precision 0.6211981566820277   recall 0.5554150863885376
deviation 2/5   iterations 1731/2000   F1 0.542608994907037   accuracy 0.6670454545454545   precision 0.6421812596006145   recall 0.5649183050543137
deviation 2/5   iterations 1741/2000   F1 0.5026823836793243   accuracy 0.5988636363636364   precision 0.6281720430107527   recall 0.5546370798759533
deviation 2/5   iterations 1751/2000   F1 0.5308439724324935   accuracy 0.6568181818181819   precision 0.6240245775729647   recall 0.5563955989919478
deviation 2/5   iterations 1761/2000   F1 0.5527348956924841   accuracy 0.6988636363636364   precision 0.6273118279569893   recall 0.5626451238390093
deviation 2/5   iterations 1771/2000   F1 0.5520119782893507   accuracy 0.6909090909090909   precision 0.6351459293394777   recall 0.5648533097449506
deviation 2/5   iterations 1781/2000   F1 0.5397414574733196   accuracy 0.6715909090909091   precision 0.6282949308755761   recall 0.5596217105263158
deviation 2/5   iterations 1791/2000   F1 0.5250371172525818   accuracy 0.6443181818181818   precision 0.6251612903225806   recall 0.5558498387839705
deviation 2/5   iterations 1801/2000   F1 0.5412191516997358   accuracy 0.6693181818181818   precision 0.6352380952380953   recall 0.5622807017543859
deviation 2/5   iterations 1811/2000   F1 0.5486979685505353   accuracy 0.6840909090909091   precision 0.6353917050691245   recall 0.5640585844608148
deviation 2/5   iterations 1821/2000   F1 0.5284535419569178   accuracy 0.6534090909090909   precision 0.6220890937019969   recall 0.5552939735969189
deviation 2/5   iterations 1831/2000   F1 0.5454239191465469   accuracy 0.6863636363636364   precision 0.6243317972350231   recall 0.5596638655462185
deviation 2/5   iterations 1841/2000   F1 0.5486485100271837   accuracy 0.6818181818181818   precision 0.6382181259600614   recall 0.564957753636999
deviation 2/5   iterations 1851/2000   F1 0.5322259136212625   accuracy 0.6545454545454545   precision 0.6309677419354839   recall 0.5590852390852391
deviation 2/5   iterations 1861/2000   F1 0.5277896233120114   accuracy 0.6568181818181819   precision 0.6157910906298003   recall 0.5529428290490237
deviation 2/5   iterations 1871/2000   F1 0.5495378938308968   accuracy 0.6897727272727273   precision 0.6303840245775729   recall 0.5626831458549958
deviation 2/5   iterations 1881/2000   F1 0.5536460198114334   accuracy 0.6909090909090909   precision 0.63926267281106   recall 0.5665869523065262
deviation 2/5   iterations 1891/2000   F1 0.5521929989565162   accuracy 0.7079545454545455   precision 0.6160061443932412   recall 0.5590945512820513
deviation 2/5   iterations 1901/2000   F1 0.5461118179235159   accuracy 0.6761363636363636   precision 0.6391090629800307   recall 0.5646472953216374
deviation 2/5   iterations 1911/2000   F1 0.5335236564206325   accuracy 0.6522727272727272   precision 0.6379109062980031   recall 0.5617574386828015
deviation 2/5   iterations 1921/2000   F1 0.5218629109526234   accuracy 0.6397727272727273   precision 0.6225806451612903   recall 0.5544498788183149
deviation 2/5   iterations 1931/2000   F1 0.5365562772482215   accuracy 0.6693181818181818   precision 0.6228878648233487   recall 0.5571089181286549
deviation 2/5   iterations 1941/2000   F1 0.5435554029304029   accuracy 0.6704545454545454   precision 0.64   recall 0.5643793195033878
deviation 2/5   iterations 1951/2000   F1 0.5386762445185925   accuracy 0.6636363636363637   precision 0.6361290322580645   recall 0.5620689075536082
deviation 2/5   iterations 1961/2000   F1 0.5446092405704452   accuracy 0.678409090909091   precision 0.6321658986175115   recall 0.5620113471251643
deviation 2/5   iterations 1971/2000   F1 0.5576168111871149   accuracy 0.7079545454545455   precision 0.6283563748079877   recall 0.5645087576274117
deviation 2/5   iterations 1981/2000   F1 0.5542954946353618   accuracy 0.7034090909090909   precision 0.6257757296466975   recall 0.5626668462687664
deviation 2/5   iterations 1991/2000   F1 0.5258325907197481   accuracy 0.6454545454545455   precision 0.6258064516129032   recall 0.5562033697317061

deviation 3/5   iterations 1/2000   F1 0.12264126321284093   accuracy 0.1318181818181818   precision 0.498863287250384   recall 0.4928709055876686
update
deviation 3/5   iterations 21/2000   F1 0.4813008130081301   accuracy 0.8681818181818182   precision 0.501136712749616   recall 0.5071290944123314
update
deviation 3/5   iterations 31/2000   F1 0.5168248490077654   accuracy 0.65   precision 0.5954531490015361   recall 0.5437677141617504
update
deviation 3/5   iterations 41/2000   F1 0.5322478008609396   accuracy 0.6772727272727272   precision 0.6027035330261137   recall 0.5492849771487542
update
deviation 3/5   iterations 51/2000   F1 0.5477255401710741   accuracy 0.6943181818181818   precision 0.6206144393241168   recall 0.5591108380911084
update
deviation 3/5   iterations 61/2000   F1 0.5258325907197481   accuracy 0.6454545454545455   precision 0.6258064516129032   recall 0.5562033697317061
deviation 3/5   iterations 71/2000   F1 0.5026008601269711   accuracy 0.6079545454545454   precision 0.6127496159754224   recall 0.548622151563328
deviation 3/5   iterations 81/2000   F1 0.4981625546780916   accuracy 0.6034090909090909   precision 0.6060522273425499   recall 0.5456671746676827
deviation 3/5   iterations 91/2000   F1 0.48519165005968995   accuracy 0.5806818181818182   precision 0.6013824884792627   recall 0.5430440771349863
deviation 3/5   iterations 101/2000   F1 0.48097254901960784   accuracy 0.5727272727272728   precision 0.6009831029185868   recall 0.5427160493827161
deviation 3/5   iterations 111/2000   F1 0.4664794664794665   accuracy 0.5465909090909091   precision 0.5984946236559139   recall 0.5414074931288876
deviation 3/5   iterations 121/2000   F1 0.5072991796577586   accuracy 0.6147727272727272   precision 0.616620583717358   recall 0.5505260243632336
deviation 3/5   iterations 131/2000   F1 0.5057311663775964   accuracy 0.6125   precision 0.6153302611367127   recall 0.5498873083710745
deviation 3/5   iterations 141/2000   F1 0.48295231096814834   accuracy 0.5738636363636364   precision 0.6057450076804916   recall 0.5447143064995531
deviation 3/5   iterations 151/2000   F1 0.5075787324275505   accuracy 0.6113636363636363   precision 0.6229185867895546   recall 0.5529684016543193
deviation 3/5   iterations 161/2000   F1 0.5469311985149089   accuracy 0.6772727272727272   precision 0.6397542242703533   recall 0.5650485325828943
deviation 3/5   iterations 171/2000   F1 0.5354435458327175   accuracy 0.6590909090909091   precision 0.6335483870967742   recall 0.5605637570427833
deviation 3/5   iterations 181/2000   F1 0.5205037132709073   accuracy 0.6318181818181818   precision 0.6304147465437788   recall 0.5571550902363757
deviation 3/5   iterations 191/2000   F1 0.511746160222978   accuracy 0.6136363636363636   precision 0.6324423963133641   recall 0.5569903390072497
deviation 3/5   iterations 201/2000   F1 0.5481998588124559   accuracy 0.6727272727272727   precision 0.6495238095238096   recall 0.5685604972079945
update
deviation 3/5   iterations 211/2000   F1 0.5165311544505284   accuracy 0.6261363636363636   precision 0.627188940092166   recall 0.5554828887554679
deviation 3/5   iterations 221/2000   F1 0.5133380454985732   accuracy 0.615909090909091   precision 0.6337327188940092   recall 0.5576284559863164
deviation 3/5   iterations 231/2000   F1 0.5515070597440259   accuracy 0.6772727272727272   precision 0.6521044546850998   recall 0.5701517238252314
update
deviation 3/5   iterations 241/2000   F1 0.5253482154635887   accuracy 0.6329545454545454   precision 0.643410138248848   recall 0.5625589673213827
deviation 3/5   iterations 251/2000   F1 0.5730976720263249   accuracy 0.7170454545454545   precision 0.6541013824884793   recall 0.5771103896103896
update
deviation 3/5   iterations 261/2000   F1 0.5434257285003554   accuracy 0.6681818181818182   precision 0.6428264208909371   recall 0.5653041157465937
deviation 3/5   iterations 271/2000   F1 0.5288402911137347   accuracy 0.6397727272727273   precision 0.6431643625192012   recall 0.5629267133350618
deviation 3/5   iterations 281/2000   F1 0.5645387171163873   accuracy 0.7056818181818182   precision 0.6476497695852534   recall 0.5723603382236034
deviation 3/5   iterations 291/2000   F1 0.5567647058823529   accuracy 0.6886363636363636   precision 0.6503225806451614   recall 0.5708822251195133
deviation 3/5   iterations 301/2000   F1 0.5447346749160631   accuracy 0.6659090909090909   precision 0.6497695852534562   recall 0.5679200173875244
deviation 3/5   iterations 311/2000   F1 0.5542641683322027   accuracy 0.6852272727272727   precision 0.6483870967741936   recall 0.5696222237597731
deviation 3/5   iterations 321/2000   F1 0.5306954546771145   accuracy 0.6443181818181818   precision 0.6416282642089093   recall 0.5626372312441574
deviation 3/5   iterations 331/2000   F1 0.5783171731632719   accuracy 0.7238636363636364   precision 0.6579723502304147   recall 0.5801054363269273
update
deviation 3/5   iterations 341/2000   F1 0.5669815891472869   accuracy 0.7045454545454546   precision 0.6552380952380952   recall 0.575337400628582
deviation 3/5   iterations 351/2000   F1 0.5574824775861218   accuracy 0.6875   precision 0.653794162826421   recall 0.5721591826379759
deviation 3/5   iterations 361/2000   F1 0.5818496883081695   accuracy 0.7329545454545454   precision 0.6549001536098311   recall 0.5808199328050063
update
deviation 3/5   iterations 371/2000   F1 0.5498595493358054   accuracy 0.6670454545454545   precision 0.6627649769585253   recall 0.5733372461296538
deviation 3/5   iterations 381/2000   F1 0.5632352941176471   accuracy 0.6931818181818182   precision 0.6611367127496159   recall 0.5759814573373896
deviation 3/5   iterations 391/2000   F1 0.5692655760529064   accuracy 0.6931818181818182   precision 0.6776036866359447   recall 0.5826655455840212
deviation 3/5   iterations 401/2000   F1 0.5550974865136707   accuracy 0.6761363636363636   precision 0.6638095238095238   recall 0.5747935182691445
deviation 3/5   iterations 411/2000   F1 0.5673238938639766   accuracy 0.696590909090909   precision 0.6671889400921659   recall 0.5789684474472383
deviation 3/5   iterations 421/2000   F1 0.5701962670193261   accuracy 0.7045454545454546   precision 0.6634715821812596   recall 0.578735846488035
deviation 3/5   iterations 431/2000   F1 0.5110826856858603   accuracy 0.6090909090909091   precision 0.638095238095238   recall 0.5591077167458276
deviation 3/5   iterations 441/2000   F1 0.5658436806775949   accuracy 0.6886363636363636   precision 0.6750230414746543   recall 0.5809642375974214
deviation 3/5   iterations 451/2000   F1 0.5859226132607427   accuracy 0.725   precision 0.6750844854070661   recall 0.5874213836477987
update
deviation 3/5   iterations 461/2000   F1 0.5624427655677656   accuracy 0.6840909090909091   precision 0.6724423963133641   recall 0.5792980294870563
deviation 3/5   iterations 471/2000   F1 0.5515228573079813   accuracy 0.6693181818181818   precision 0.6640552995391705   recall 0.574107380762057
deviation 3/5   iterations 481/2000   F1 0.5842703648175913   accuracy 0.725   precision 0.6709677419354838   recall 0.5857362067159259
deviation 3/5   iterations 491/2000   F1 0.526669786232059   accuracy 0.6329545454545454   precision 0.64752688172043   recall 0.5642404589139323
deviation 3/5   iterations 501/2000   F1 0.5683421156290179   accuracy 0.7   precision 0.6650076804915515   recall 0.578615799858313
deviation 3/5   iterations 511/2000   F1 0.5666971479279055   accuracy 0.6897727272727273   precision 0.675668202764977   recall 0.581386213021794
deviation 3/5   iterations 521/2000   F1 0.5709847123283684   accuracy 0.6954545454545454   precision 0.6788940092165898   recall 0.5835298572977812
deviation 3/5   iterations 531/2000   F1 0.5833844751100279   accuracy 0.7238636363636364   precision 0.6703225806451613   recall 0.5852272727272727
deviation 3/5   iterations 541/2000   F1 0.5604956113319024   accuracy 0.6795454545454546   precision 0.6739784946236559   recall 0.5793266132873128
deviation 3/5   iterations 551/2000   F1 0.5727792207792208   accuracy 0.7079545454545455   precision 0.6654070660522273   recall 0.5801190476190476
deviation 3/5   iterations 561/2000   F1 0.5628843253277642   accuracy 0.6886363636363636   precision 0.6667895545314899   recall 0.5776321132979849
deviation 3/5   iterations 571/2000   F1 0.5500982974080757   accuracy 0.6693181818181818   precision 0.6599385560675883   recall 0.5724359402480019
deviation 3/5   iterations 581/2000   F1 0.5854071839451667   accuracy 0.7181818181818181   precision 0.6835637480798771   recall 0.5894295070974849
deviation 3/5   iterations 591/2000   F1 0.5835569134264879   accuracy 0.7284090909090909   precision 0.6646697388632873   recall 0.5838842147435898
deviation 3/5   iterations 601/2000   F1 0.5154177103911659   accuracy 0.6170454545454546   precision 0.6384946236559139   recall 0.5596372026077385
deviation 3/5   iterations 611/2000   F1 0.5965823315075206   accuracy 0.7363636363636363   precision 0.685652841781874   recall 0.5943564152369294
update
deviation 3/5   iterations 621/2000   F1 0.5857737034207623   accuracy 0.7227272727272728   precision 0.6779109062980031   recall 0.5880846196435852
deviation 3/5   iterations 631/2000   F1 0.5465186914293125   accuracy 0.6568181818181819   precision 0.6693087557603687   recall 0.5749596026093722
deviation 3/5   iterations 641/2000   F1 0.5688482986793502   accuracy 0.696590909090909   precision 0.6713056835637481   recall 0.5806414291003332
deviation 3/5   iterations 651/2000   F1 0.5697058823529412   accuracy 0.6977272727272728   precision 0.6719508448540706   recall 0.5810806895552658
deviation 3/5   iterations 661/2000   F1 0.5573785589300009   accuracy 0.6772727272727272   precision 0.6685714285714286   recall 0.5768612267539264
deviation 3/5   iterations 671/2000   F1 0.5473490836074679   accuracy 0.6579545454545455   precision 0.6699539170506912   recall 0.5753267973856209
deviation 3/5   iterations 681/2000   F1 0.5854071839451667   accuracy 0.7181818181818181   precision 0.6835637480798771   recall 0.5894295070974849
deviation 3/5   iterations 691/2000   F1 0.5624427655677656   accuracy 0.6840909090909091   precision 0.6724423963133641   recall 0.5792980294870563
deviation 3/5   iterations 701/2000   F1 0.5147598163678797   accuracy 0.6090909090909091   precision 0.6504454685099846   recall 0.5641670728703135
deviation 3/5   iterations 711/2000   F1 0.5818720727651198   accuracy 0.7136363636363636   precision 0.6809831029185868   recall 0.5874975492962767
deviation 3/5   iterations 721/2000   F1 0.5258620689655171   accuracy 0.6318181818181818   precision 0.6468817204301075   recall 0.5639037847721599
deviation 3/5   iterations 731/2000   F1 0.5906331171099943   accuracy 0.7352272727272727   precision 0.672657450076805   recall 0.588780204226064
deviation 3/5   iterations 741/2000   F1 0.5599052465032507   accuracy 0.6806818181818182   precision 0.6705069124423964   recall 0.5780704913236254
deviation 3/5   iterations 751/2000   F1 0.5498595493358054   accuracy 0.6670454545454545   precision 0.6627649769585253   recall 0.5733372461296538
deviation 3/5   iterations 761/2000   F1 0.5599052465032507   accuracy 0.6806818181818182   precision 0.6705069124423964   recall 0.5780704913236254
deviation 3/5   iterations 771/2000   F1 0.5801148147034956   accuracy 0.7113636363636363   precision 0.6796927803379416   recall 0.5865487626589958
deviation 3/5   iterations 781/2000   F1 0.5426904590304151   accuracy 0.6534090909090909   precision 0.6632565284178187   recall 0.5722026565794909
deviation 3/5   iterations 791/2000   F1 0.5936712781937309   accuracy 0.7306818181818182   precision 0.6865437788018434   recall 0.5933441558441559
deviation 3/5   iterations 801/2000   F1 0.5624427655677656   accuracy 0.6840909090909091   precision 0.6724423963133641   recall 0.5792980294870563
deviation 3/5   iterations 811/2000   F1 0.5215120796516145   accuracy 0.6238636363636364   precision 0.6464823348694317   recall 0.5632642663043478
deviation 3/5   iterations 821/2000   F1 0.5361205843964465   accuracy 0.6443181818181818   precision 0.6580952380952381   recall 0.5693530997304582
deviation 3/5   iterations 831/2000   F1 0.5813518940617005   accuracy 0.7170454545454545   precision 0.6746850998463902   recall 0.5856098383560984
deviation 3/5   iterations 841/2000   F1 0.5739114724480578   accuracy 0.6954545454545454   precision 0.6871274961597542   recall 0.5868282252316465
deviation 3/5   iterations 851/2000   F1 0.524045288247703   accuracy 0.6238636363636364   precision 0.6547158218125959   recall 0.5666222165777665
deviation 3/5   iterations 861/2000   F1 0.5684080794992028   accuracy 0.6920454545454545   precision 0.6769585253456221   recall 0.5822368421052632
deviation 3/5   iterations 871/2000   F1 0.5776802904294901   accuracy 0.7102272727272727   precision 0.6749308755760368   recall 0.5844125809435707
deviation 3/5   iterations 881/2000   F1 0.5687385531135531   accuracy 0.6886363636363636   precision 0.6832565284178187   recall 0.5842709328149458
deviation 3/5   iterations 891/2000   F1 0.5641683190129985   accuracy 0.6806818181818182   precision 0.6828571428571428   recall 0.5830357142857143
deviation 3/5   iterations 901/2000   F1 0.560769808703693   accuracy 0.6761363636363636   precision 0.6802764976958525   recall 0.5814348521183054
deviation 3/5   iterations 911/2000   F1 0.5724744104491364   accuracy 0.7034090909090909   precision 0.6710599078341013   recall 0.5816441441441441
deviation 3/5   iterations 921/2000   F1 0.5482003720907568   accuracy 0.6647727272727273   precision 0.6614746543778802   recall 0.5725742311770944
deviation 3/5   iterations 931/2000   F1 0.5640828743423585   accuracy 0.6943181818181818   precision 0.6617818740399386   recall 0.5764145248543103
deviation 3/5   iterations 941/2000   F1 0.5622249555828893   accuracy 0.6897727272727273   precision 0.6633179723502305   recall 0.5763793103448276
deviation 3/5   iterations 951/2000   F1 0.5363670746632005   accuracy 0.6375   precision 0.6706912442396313   recall 0.5739522105801176
deviation 3/5   iterations 961/2000   F1 0.5778464175535798   accuracy 0.7125   precision 0.6721044546850998   recall 0.5836838834580176
deviation 3/5   iterations 971/2000   F1 0.5578238617194622   accuracy 0.6818181818181818   precision 0.6629185867895545   recall 0.5751392832650378
deviation 3/5   iterations 981/2000   F1 0.543206106870229   accuracy 0.6522727272727272   precision 0.6667281105990783   recall 0.5735067045916294
deviation 3/5   iterations 991/2000   F1 0.5719166459261941   accuracy 0.7068181818181818   precision 0.6647619047619048   recall 0.5796552973817573
deviation 3/5   iterations 1001/2000   F1 0.5265271887633107   accuracy 0.6238636363636364   precision 0.6629493087557603   recall 0.5699721377912867
deviation 3/5   iterations 1011/2000   F1 0.577116704805492   accuracy 0.7136363636363636   precision 0.6686328725038403   recall 0.5824793388429752
deviation 3/5   iterations 1021/2000   F1 0.5480274017242968   accuracy 0.6704545454545454   precision 0.6523502304147466   recall 0.5694650671537673
deviation 3/5   iterations 1031/2000   F1 0.5353184944674669   accuracy 0.6488636363636363   precision 0.6483256528417819   recall 0.5657407407407408
deviation 3/5   iterations 1041/2000   F1 0.5898128279930241   accuracy 0.7363636363636363   precision 0.6691858678955453   recall 0.5876246666539374
deviation 3/5   iterations 1051/2000   F1 0.5391440072291136   accuracy 0.6522727272727272   precision 0.6543778801843319   recall 0.5684981924656078
deviation 3/5   iterations 1061/2000   F1 0.5591594964024817   accuracy 0.6897727272727273   precision 0.6550844854070661   recall 0.5730053683820807
deviation 3/5   iterations 1071/2000   F1 0.5773988005997002   accuracy 0.7204545454545455   precision 0.6601536098310292   recall 0.5803131798041548
deviation 3/5   iterations 1081/2000   F1 0.5633756924079505   accuracy 0.6954545454545454   precision 0.658310291858679   recall 0.5751608819187977
deviation 3/5   iterations 1091/2000   F1 0.5519753636120123   accuracy 0.6738636363636363   precision 0.6584024577572964   recall 0.5723247149654367
deviation 3/5   iterations 1101/2000   F1 0.5385781169657113   accuracy 0.6477272727272727   precision 0.6600307219662058   recall 0.570410541170364
deviation 3/5   iterations 1111/2000   F1 0.5588525388239084   accuracy 0.6852272727272727   precision 0.6607373271889401   recall 0.5746984649122807
deviation 3/5   iterations 1121/2000   F1 0.5571740083219254   accuracy 0.6829545454545455   precision 0.659447004608295   recall 0.573871011819362
deviation 3/5   iterations 1131/2000   F1 0.5580126467931347   accuracy 0.6840909090909091   precision 0.6600921658986175   recall 0.5742836778332145
deviation 3/5   iterations 1141/2000   F1 0.5531904053296697   accuracy 0.6715909090909091   precision 0.6653456221198157   recall 0.5748847926267281
deviation 3/5   iterations 1151/2000   F1 0.5845170454545454   accuracy 0.7340909090909091   precision 0.6596620583717359   recall 0.5830982852684025
deviation 3/5   iterations 1161/2000   F1 0.5459616242748773   accuracy 0.6636363636363637   precision 0.6567127496159755   recall 0.5705216472839281
deviation 3/5   iterations 1171/2000   F1 0.5170182265001024   accuracy 0.6193181818181818   precision 0.6397849462365591   recall 0.5602808691043986
deviation 3/5   iterations 1181/2000   F1 0.5690348191036589   accuracy 0.6988636363636364   precision 0.6684792626728111   recall 0.5798504333240145
deviation 3/5   iterations 1191/2000   F1 0.542670251392777   accuracy 0.6590909090909091   precision 0.6541321044546851   recall 0.5690214011743406
deviation 3/5   iterations 1201/2000   F1 0.5738531545935309   accuracy 0.7136363636363636   precision 0.6603993855606759   recall 0.5790873672283521
deviation 3/5   iterations 1211/2000   F1 0.5558106692178033   accuracy 0.6852272727272727   precision 0.6525038402457757   recall 0.5713218390804597
deviation 3/5   iterations 1221/2000   F1 0.5248157017420293   accuracy 0.634090909090909   precision 0.6399385560675883   recall 0.5612129161268821
deviation 3/5   iterations 1231/2000   F1 0.5679013525054499   accuracy 0.7079545454545455   precision 0.6530568356374808   recall 0.5750102382501023
deviation 3/5   iterations 1241/2000   F1 0.5500982974080757   accuracy 0.6693181818181818   precision 0.6599385560675883   recall 0.5724359402480019
deviation 3/5   iterations 1251/2000   F1 0.571372295607187   accuracy 0.7147727272727272   precision 0.6528110599078341   recall 0.5761370037471529
deviation 3/5   iterations 1261/2000   F1 0.551337359792925   accuracy 0.675   precision 0.6549308755760368   recall 0.571039775512619
deviation 3/5   iterations 1271/2000   F1 0.5515070597440259   accuracy 0.6772727272727272   precision 0.6521044546850998   recall 0.5701517238252314
deviation 3/5   iterations 1281/2000   F1 0.5640828743423585   accuracy 0.6943181818181818   precision 0.6617818740399386   recall 0.5764145248543103
deviation 3/5   iterations 1291/2000   F1 0.571612251116677   accuracy 0.7022727272727273   precision 0.6704147465437789   recall 0.5811919273532047
deviation 3/5   iterations 1301/2000   F1 0.579078358934474   accuracy 0.7204545454545455   precision 0.6642703533026113   recall 0.5820217824819758
deviation 3/5   iterations 1311/2000   F1 0.5541439443878469   accuracy 0.6829545454545455   precision 0.6512135176651306   recall 0.5704931368729806
deviation 3/5   iterations 1321/2000   F1 0.5748301648374218   accuracy 0.7193181818181819   precision 0.6553917050691245   recall 0.5780960498036019
deviation 3/5   iterations 1331/2000   F1 0.5479381684023724   accuracy 0.6625   precision 0.6643010752688172   recall 0.5734873801776449
deviation 3/5   iterations 1341/2000   F1 0.5578238617194622   accuracy 0.6818181818181818   precision 0.6629185867895545   recall 0.5751392832650378
deviation 3/5   iterations 1351/2000   F1 0.5862767316826193   accuracy 0.7340909090909091   precision 0.663778801843318   recall 0.5848242414984821
deviation 3/5   iterations 1361/2000   F1 0.5809725023208169   accuracy 0.7295454545454545   precision 0.6570814132104454   recall 0.5809639027356392
deviation 3/5   iterations 1371/2000   F1 0.5615442668835499   accuracy 0.6909090909090909   precision 0.6598463901689708   recall 0.5751222921034242
deviation 3/5   iterations 1381/2000   F1 0.554665460731744   accuracy 0.6795454545454546   precision 0.6575115207373272   recall 0.5726455035451345
deviation 3/5   iterations 1391/2000   F1 0.5429793754531385   accuracy 0.6556818181818181   precision 0.6604301075268817   recall 0.5712624729797594
deviation 3/5   iterations 1401/2000   F1 0.5400072970166427   accuracy 0.6613636363636364   precision 0.6430721966205837   recall 0.5647125523175347
deviation 3/5   iterations 1411/2000   F1 0.571372295607187   accuracy 0.7147727272727272   precision 0.6528110599078341   recall 0.5761370037471529
deviation 3/5   iterations 1421/2000   F1 0.5721253608373724   accuracy 0.7113636363636363   precision 0.6591090629800307   recall 0.578133014706326
deviation 3/5   iterations 1431/2000   F1 0.5195559314796797   accuracy 0.6193181818181818   precision 0.6480184331797235   recall 0.5636479888398047
deviation 3/5   iterations 1441/2000   F1 0.5588525388239084   accuracy 0.6852272727272727   precision 0.6607373271889401   recall 0.5746984649122807
deviation 3/5   iterations 1451/2000   F1 0.5681786317785698   accuracy 0.6977272727272728   precision 0.6678341013824884   recall 0.5794082248489746
deviation 3/5   iterations 1461/2000   F1 0.5797395812355794   accuracy 0.7170454545454545   precision 0.6705683563748079   recall 0.5839299535603715
deviation 3/5   iterations 1471/2000   F1 0.5573400451449233   accuracy 0.6852272727272727   precision 0.656620583717358   recall 0.5730138179151676
deviation 3/5   iterations 1481/2000   F1 0.556503074602622   accuracy 0.6840909090909091   precision 0.6559754224270353   recall 0.5725986810119487
deviation 3/5   iterations 1491/2000   F1 0.5642231186534983   accuracy 0.696590909090909   precision 0.6589554531490016   recall 0.5755990648743425
deviation 3/5   iterations 1501/2000   F1 0.5416028428050523   accuracy 0.6556818181818181   precision 0.6563133640552996   recall 0.5695903361344538
deviation 3/5   iterations 1511/2000   F1 0.5650719801413591   accuracy 0.6977272727272728   precision 0.6596006144393242   recall 0.5760396723634214
deviation 3/5   iterations 1521/2000   F1 0.5738531545935309   accuracy 0.7136363636363636   precision 0.6603993855606759   recall 0.5790873672283521
deviation 3/5   iterations 1531/2000   F1 0.5634920634920635   accuracy 0.6977272727272728   precision 0.655483870967742   recall 0.5743429441039773
deviation 3/5   iterations 1541/2000   F1 0.5479381684023724   accuracy 0.6625   precision 0.6643010752688172   recall 0.5734873801776449
deviation 3/5   iterations 1551/2000   F1 0.5364176712813729   accuracy 0.6465909090909091   precision 0.6552688172043011   recall 0.5683845337836375
deviation 3/5   iterations 1561/2000   F1 0.55483288166215   accuracy 0.6818181818181818   precision 0.6546850998463902   recall 0.5717747683535281
deviation 3/5   iterations 1571/2000   F1 0.5555004305145862   accuracy 0.6806818181818182   precision 0.6581566820276498   recall 0.573051948051948
deviation 3/5   iterations 1581/2000   F1 0.5650719801413591   accuracy 0.6977272727272728   precision 0.6596006144393242   recall 0.5760396723634214
deviation 3/5   iterations 1591/2000   F1 0.5383261417524672   accuracy 0.6511363636363636   precision 0.6537327188940092   recall 0.5681372549019608
deviation 3/5   iterations 1601/2000   F1 0.5598586407313297   accuracy 0.6886363636363636   precision 0.6585560675883257   recall 0.5742722442565292
deviation 3/5   iterations 1611/2000   F1 0.556503074602622   accuracy 0.6840909090909091   precision 0.6559754224270353   recall 0.5725986810119487
deviation 3/5   iterations 1621/2000   F1 0.5678348701437833   accuracy 0.7056818181818182   precision 0.6558832565284178   recall 0.5757965056526207
deviation 3/5   iterations 1631/2000   F1 0.5490294511378848   accuracy 0.6659090909090909   precision 0.6621198156682028   recall 0.5729548584037029
deviation 3/5   iterations 1641/2000   F1 0.5448939809842066   accuracy 0.6602272727272728   precision 0.6588940092165898   recall 0.5710689473221352
deviation 3/5   iterations 1651/2000   F1 0.5591594964024817   accuracy 0.6897727272727273   precision 0.6550844854070661   recall 0.5730053683820807
deviation 3/5   iterations 1661/2000   F1 0.574719614921781   accuracy 0.7147727272727272   precision 0.6610445468509984   recall 0.5795689131754705
deviation 3/5   iterations 1671/2000   F1 0.571612251116677   accuracy 0.7022727272727273   precision 0.6704147465437789   recall 0.5811919273532047
deviation 3/5   iterations 1681/2000   F1 0.5650719801413591   accuracy 0.6977272727272728   precision 0.6596006144393242   recall 0.5760396723634214
deviation 3/5   iterations 1691/2000   F1 0.5644310446390428   accuracy 0.7011363636363637   precision 0.6533026113671275   recall 0.5739759007566594
deviation 3/5   iterations 1701/2000   F1 0.56   accuracy 0.6909090909090909   precision 0.6557296466973886   recall 0.5734318412284514
deviation 3/5   iterations 1711/2000   F1 0.5827355623100303   accuracy 0.7340909090909091   precision 0.6555453149001536   recall 0.5813594729230275
deviation 3/5   iterations 1721/2000   F1 0.588967140422073   accuracy 0.7375   precision 0.6657142857142857   recall 0.5864622605216588
deviation 3/5   iterations 1731/2000   F1 0.5729884098498056   accuracy 0.7125   precision 0.6597542242703534   recall 0.578608746130031
deviation 3/5   iterations 1741/2000   F1 0.5703125   accuracy 0.7068181818181818   precision 0.6606451612903226   recall 0.5779614620793301
deviation 3/5   iterations 1751/2000   F1 0.5486582947785856   accuracy 0.6693181818181818   precision 0.6558218125960061   recall 0.5707589285714286
deviation 3/5   iterations 1761/2000   F1 0.5318129075735849   accuracy 0.6420454545454546   precision 0.6485714285714286   recall 0.5653033445683173
deviation 3/5   iterations 1771/2000   F1 0.5162177020340846   accuracy 0.6181818181818182   precision 0.6391397849462366   recall 0.5599584831523149
deviation 3/5   iterations 1781/2000   F1 0.5835322466980382   accuracy 0.7397727272727272   precision 0.6505376344086021   recall 0.5806005895357406
deviation 3/5   iterations 1791/2000   F1 0.5628051948051949   accuracy 0.7011363636363637   precision 0.6491858678955453   recall 0.5722619047619047
deviation 3/5   iterations 1801/2000   F1 0.5783354110374802   accuracy 0.7261363636363637   precision 0.6551459293394777   recall 0.5794005182259566
deviation 3/5   iterations 1811/2000   F1 0.55012182387748   accuracy 0.6795454545454546   precision 0.6451612903225806   recall 0.5675652487259124
deviation 3/5   iterations 1821/2000   F1 0.5598586407313297   accuracy 0.6886363636363636   precision 0.6585560675883257   recall 0.5742722442565292
deviation 3/5   iterations 1831/2000   F1 0.5962791585966093   accuracy 0.7488636363636364   precision 0.6680491551459293   recall 0.5904646608980975
deviation 3/5   iterations 1841/2000   F1 0.5662398033038561   accuracy 0.7125   precision 0.6432872503840246   recall 0.5716991341991342
deviation 3/5   iterations 1851/2000   F1 0.5792045390618094   accuracy 0.7295454545454545   precision 0.6529646697388634   recall 0.5792233911875713
deviation 3/5   iterations 1861/2000   F1 0.573920857736048   accuracy 0.7159090909090909   precision 0.6575729646697389   recall 0.5783431395910088
deviation 3/5   iterations 1871/2000   F1 0.5809061998173746   accuracy 0.725   precision 0.6627342549923195   recall 0.5823338866817128
deviation 3/5   iterations 1881/2000   F1 0.5791936389000861   accuracy 0.725   precision 0.6586175115207373   recall 0.5806159476862927
deviation 3/5   iterations 1891/2000   F1 0.5620377190490066   accuracy 0.6875   precision 0.6661443932411675   recall 0.5772112573099415
deviation 3/5   iterations 1901/2000   F1 0.5849522740033689   accuracy 0.7136363636363636   precision 0.6892165898617512   recall 0.5908005307386113
deviation 3/5   iterations 1911/2000   F1 0.5684080794992028   accuracy 0.6920454545454545   precision 0.6769585253456221   recall 0.5822368421052632
deviation 3/5   iterations 1921/2000   F1 0.5561380712106638   accuracy 0.6943181818181818   precision 0.6411981566820276   recall 0.5678821249645524
deviation 3/5   iterations 1931/2000   F1 0.5571740083219254   accuracy 0.6829545454545455   precision 0.659447004608295   recall 0.573871011819362
deviation 3/5   iterations 1941/2000   F1 0.5588525388239084   accuracy 0.6852272727272727   precision 0.6607373271889401   recall 0.5746984649122807
deviation 3/5   iterations 1951/2000   F1 0.5622249555828893   accuracy 0.6897727272727273   precision 0.6633179723502305   recall 0.5763793103448276
deviation 3/5   iterations 1961/2000   F1 0.5459616242748773   accuracy 0.6636363636363637   precision 0.6567127496159755   recall 0.5705216472839281
deviation 3/5   iterations 1971/2000   F1 0.5523367325111314   accuracy 0.678409090909091   precision 0.6527496159754225   recall 0.5705544455544456
deviation 3/5   iterations 1981/2000   F1 0.5544303797468354   accuracy 0.6897727272727273   precision 0.6427342549923195   recall 0.5678842781998831
deviation 3/5   iterations 1991/2000   F1 0.5782268804901378   accuracy 0.7329545454545454   precision 0.6466666666666667   recall 0.5773012254203477

deviation 4/5   iterations 1/2000   F1 0.17950731180685053   accuracy 0.17954545454545454   precision 0.4395084485407066   recall 0.43633518281405603
update
deviation 4/5   iterations 11/2000   F1 0.49462552011095706   accuracy 0.8795454545454545   precision 0.5117050691244239   recall 0.65586647029946
update
deviation 4/5   iterations 21/2000   F1 0.5349511947443681   accuracy 0.6522727272727272   precision 0.6420276497695853   recall 0.5634501045835598
update
deviation 4/5   iterations 31/2000   F1 0.5438235294117647   accuracy 0.6795454545454546   precision 0.628694316436252   recall 0.5606837606837607
update
deviation 4/5   iterations 41/2000   F1 0.5085682374560874   accuracy 0.6090909090909091   precision 0.6298617511520737   recall 0.5557266480691448
deviation 4/5   iterations 51/2000   F1 0.47814814304036635   accuracy 0.5602272727272727   precision 0.6144700460829493   recall 0.5481634299187194
deviation 4/5   iterations 61/2000   F1 0.522493191637488   accuracy 0.6386363636363637   precision 0.62605222734255   recall 0.5558082470524867
deviation 4/5   iterations 71/2000   F1 0.5192095321127579   accuracy 0.6261363636363636   precision 0.6354224270353303   recall 0.5588675213675214
deviation 4/5   iterations 81/2000   F1 0.5057110760459483   accuracy 0.6068181818181818   precision 0.6244546850998465   recall 0.5534063523369069
deviation 4/5   iterations 91/2000   F1 0.4813101443387182   accuracy 0.5647727272727273   precision 0.6170506912442396   recall 0.5492818559986755
deviation 4/5   iterations 101/2000   F1 0.5260932422078728   accuracy 0.6397727272727273   precision 0.6349308755760368   recall 0.5595496355432141
deviation 4/5   iterations 111/2000   F1 0.4935548017311966   accuracy 0.5806818181818182   precision 0.6301996927803379   recall 0.5549818370524131
deviation 4/5   iterations 121/2000   F1 0.519423097168123   accuracy 0.6227272727272727   precision 0.6417204301075269   recall 0.5612547869825942
deviation 4/5   iterations 131/2000   F1 0.5226376650525257   accuracy 0.6272727272727273   precision 0.6443010752688172   recall 0.5625696031885588
deviation 4/5   iterations 141/2000   F1 0.5226376650525257   accuracy 0.6272727272727273   precision 0.6443010752688172   recall 0.5625696031885588
deviation 4/5   iterations 151/2000   F1 0.51875   accuracy 0.6181818181818182   precision 0.647373271889401   recall 0.5633267326732674
deviation 4/5   iterations 161/2000   F1 0.5158854166666667   accuracy 0.615909090909091   precision 0.6419662058371736   recall 0.561003300330033
deviation 4/5   iterations 171/2000   F1 0.5232107023411371   accuracy 0.6318181818181818   precision 0.6386482334869432   recall 0.5605365526492287
deviation 4/5   iterations 181/2000   F1 0.541030264094115   accuracy 0.6568181818181819   precision 0.65284178187404   recall 0.5682812611514623
deviation 4/5   iterations 191/2000   F1 0.5804729214340199   accuracy 0.7159090909090909   precision 0.6740399385560676   recall 0.5851239669421487
update
deviation 4/5   iterations 201/2000   F1 0.5410429822013152   accuracy 0.6511363636363636   precision 0.6619662058371736   recall 0.5714812565081568
deviation 4/5   iterations 211/2000   F1 0.5525929273528415   accuracy 0.6727272727272727   precision 0.6618740399385561   recall 0.5736062450058393
deviation 4/5   iterations 221/2000   F1 0.5437142872106969   accuracy 0.6625   precision 0.6519508448540706   recall 0.5684647073154526
deviation 4/5   iterations 231/2000   F1 0.5517602996254681   accuracy 0.6715909090909091   precision 0.6612288786482334   recall 0.5732142857142857
deviation 4/5   iterations 241/2000   F1 0.5726385146600814   accuracy 0.7056818181818182   precision 0.6682334869431643   recall 0.580879572738444
deviation 4/5   iterations 251/2000   F1 0.539084670119153   accuracy 0.6465909090909091   precision 0.6635023041474655   recall 0.5717250673854447
deviation 4/5   iterations 261/2000   F1 0.5445357579996504   accuracy 0.6636363636363637   precision 0.6525960061443932   recall 0.5688426888426888
deviation 4/5   iterations 271/2000   F1 0.5449103493223952   accuracy 0.6681818181818182   precision 0.6469431643625192   recall 0.5669996806203809
deviation 4/5   iterations 281/2000   F1 0.5556673585988103   accuracy 0.6829545454545455   precision 0.6553302611367128   recall 0.5721856725146199
deviation 4/5   iterations 291/2000   F1 0.5657822517006676   accuracy 0.696590909090909   precision 0.6630721966205837   recall 0.5772877644208368
deviation 4/5   iterations 301/2000   F1 0.5596936999651931   accuracy 0.6863636363636364   precision 0.6613824884792627   recall 0.5751153971549668
deviation 4/5   iterations 311/2000   F1 0.5674873649557194   accuracy 0.6988636363636364   precision 0.6643625192012289   recall 0.5781706604324957
deviation 4/5   iterations 321/2000   F1 0.579078358934474   accuracy 0.7204545454545455   precision 0.6642703533026113   recall 0.5820217824819758
deviation 4/5   iterations 331/2000   F1 0.5660383372803144   accuracy 0.7011363636363637   precision 0.6574193548387097   recall 0.5756805936288875
deviation 4/5   iterations 341/2000   F1 0.5531884027936087   accuracy 0.6659090909090909   precision 0.6744700460829494   recall 0.5779435742872672
deviation 4/5   iterations 351/2000   F1 0.5575757575757576   accuracy 0.6681818181818182   precision 0.6839938556067588   recall 0.5820073942215528
deviation 4/5   iterations 361/2000   F1 0.5715932597243009   accuracy 0.6943181818181818   precision 0.6823655913978495   recall 0.5847496345029239
deviation 4/5   iterations 371/2000   F1 0.575053528313061   accuracy 0.6988636363636364   precision 0.6849462365591398   recall 0.5864942528735633
deviation 4/5   iterations 381/2000   F1 0.583605359463814   accuracy 0.7306818181818182   precision 0.6618433179723502   recall 0.583219593569912
update
deviation 4/5   iterations 391/2000   F1 0.5752351215391693   accuracy 0.7090909090909091   precision 0.6701689708141321   recall 0.5822693813532638
deviation 4/5   iterations 401/2000   F1 0.5565386676002695   accuracy 0.6761363636363636   precision 0.6679262672811059   recall 0.5764620962868462
deviation 4/5   iterations 411/2000   F1 0.5638873637148012   accuracy 0.6840909090909091   precision 0.6765591397849462   recall 0.5809568887311166
deviation 4/5   iterations 421/2000   F1 0.5636126637338037   accuracy 0.6818181818181818   precision 0.6793855606758833   recall 0.5817919998206992
deviation 4/5   iterations 431/2000   F1 0.5755878108819286   accuracy 0.7159090909090909   precision 0.6616897081413211   recall 0.5800534196484525
deviation 4/5   iterations 441/2000   F1 0.569338425970198   accuracy 0.7034090909090909   precision 0.6628264208909371   recall 0.5782800831836657
deviation 4/5   iterations 451/2000   F1 0.5644638552186462   accuracy 0.6829545454545455   precision 0.6800307219662058   recall 0.5821999281802676
deviation 4/5   iterations 461/2000   F1 0.5669815891472869   accuracy 0.7045454545454546   precision 0.6552380952380952   recall 0.575337400628582
deviation 4/5   iterations 471/2000   F1 0.5404959557258407   accuracy 0.6431818181818182   precision 0.6739170506912442   recall 0.5756660375643582
deviation 4/5   iterations 481/2000   F1 0.5692655760529064   accuracy 0.6931818181818182   precision 0.6776036866359447   recall 0.5826655455840212
deviation 4/5   iterations 491/2000   F1 0.5800265134776845   accuracy 0.7238636363636364   precision 0.662089093701997   recall 0.5818238213399504
deviation 4/5   iterations 501/2000   F1 0.557612361753863   accuracy 0.6795454545454546   precision 0.6657450076804916   recall 0.5759983321218678
deviation 4/5   iterations 511/2000   F1 0.5610663141661159   accuracy 0.678409090909091   precision 0.6774500768049155   recall 0.5805803571428572
deviation 4/5   iterations 521/2000   F1 0.5674873649557194   accuracy 0.6988636363636364   precision 0.6643625192012289   recall 0.5781706604324957
deviation 4/5   iterations 531/2000   F1 0.571846385130518   accuracy 0.696590909090909   precision 0.6795391705069125   recall 0.5839655172413794
deviation 4/5   iterations 541/2000   F1 0.5531884027936087   accuracy 0.6659090909090909   precision 0.6744700460829494   recall 0.5779435742872672
deviation 4/5   iterations 551/2000   F1 0.5714254089832422   accuracy 0.7   precision 0.6732411674347158   recall 0.5819664982470013
deviation 4/5   iterations 561/2000   F1 0.5562825132512637   accuracy 0.6738636363636363   precision 0.6707526881720429   recall 0.5773336450054543
deviation 4/5   iterations 571/2000   F1 0.5690127049062257   accuracy 0.6909090909090909   precision 0.6804301075268817   recall 0.5834655024415756
deviation 4/5   iterations 581/2000   F1 0.5860479337676694   accuracy 0.7272727272727273   precision 0.672258064516129   recall 0.5867639685811376
update
deviation 4/5   iterations 591/2000   F1 0.5330047561873554   accuracy 0.6363636363636364   precision 0.6618125960061444   recall 0.5702795168633479
deviation 4/5   iterations 601/2000   F1 0.5843049133247138   accuracy 0.7147727272727272   precision 0.6857450076804916   recall 0.5896309210370265
deviation 4/5   iterations 611/2000   F1 0.5990057995028997   accuracy 0.75   precision 0.6728110599078341   recall 0.5927758535378526
update
deviation 4/5   iterations 621/2000   F1 0.541222688623399   accuracy 0.6477272727272727   precision 0.6682642089093702   recall 0.5737428572967325
deviation 4/5   iterations 631/2000   F1 0.5961746728097065   accuracy 0.7443181818181818   precision 0.6737019969278034   recall 0.59155029923055
deviation 4/5   iterations 641/2000   F1 0.5421527624917455   accuracy 0.6454545454545455   precision 0.6752073732718894   recall 0.5763613284702026
deviation 4/5   iterations 651/2000   F1 0.5628843253277642   accuracy 0.6886363636363636   precision 0.6667895545314899   recall 0.5776321132979849
deviation 4/5   iterations 661/2000   F1 0.5576874915717891   accuracy 0.6738636363636363   precision 0.6748694316436252   recall 0.5789923616662226
deviation 4/5   iterations 671/2000   F1 0.5722873865066502   accuracy 0.7011363636363637   precision 0.6738863287250384   recall 0.5824131022271922
deviation 4/5   iterations 681/2000   F1 0.5638873637148012   accuracy 0.6840909090909091   precision 0.6765591397849462   recall 0.5809568887311166
deviation 4/5   iterations 691/2000   F1 0.5599230634726351   accuracy 0.675   precision 0.67963133640553   recall 0.5810395010395011
deviation 4/5   iterations 701/2000   F1 0.5705649133855948   accuracy 0.6988636363636364   precision 0.6725960061443932   recall 0.5815223700401663
deviation 4/5   iterations 711/2000   F1 0.5666971479279055   accuracy 0.6897727272727273   precision 0.675668202764977   recall 0.581386213021794
deviation 4/5   iterations 721/2000   F1 0.5962397460244305   accuracy 0.7465909090909091   precision 0.6708755760368663   recall 0.5910036911961046
deviation 4/5   iterations 731/2000   F1 0.5383261417524672   accuracy 0.6511363636363636   precision 0.6537327188940092   recall 0.5681372549019608
deviation 4/5   iterations 741/2000   F1 0.5341652764766489   accuracy 0.6397727272727273   precision 0.65963133640553   recall 0.5696350458872974
deviation 4/5   iterations 751/2000   F1 0.5873816258762761   accuracy 0.7227272727272728   precision 0.6820276497695852   recall 0.5897515132786796
deviation 4/5   iterations 761/2000   F1 0.5576874915717891   accuracy 0.6738636363636363   precision 0.6748694316436252   recall 0.5789923616662226
deviation 4/5   iterations 771/2000   F1 0.589868287740628   accuracy 0.7386363636363636   precision 0.6663594470046083   recall 0.587015908725695
deviation 4/5   iterations 781/2000   F1 0.5916772491940998   accuracy 0.740909090909091   precision 0.6676497695852535   recall 0.5881349690873501
deviation 4/5   iterations 791/2000   F1 0.5407307569531358   accuracy 0.6488636363636363   precision 0.6647926267281106   recall 0.572433238268084
deviation 4/5   iterations 801/2000   F1 0.5626462359767027   accuracy 0.696590909090909   precision 0.6548387096774193   recall 0.573902027027027
deviation 4/5   iterations 811/2000   F1 0.583483085383218   accuracy 0.7261363636363637   precision 0.6674961597542243   recall 0.5845533498759306
deviation 4/5   iterations 821/2000   F1 0.5537681412834411   accuracy 0.6704545454545454   precision 0.6688172043010753   recall 0.5761607761607761
deviation 4/5   iterations 831/2000   F1 0.5791936389000861   accuracy 0.725   precision 0.6586175115207373   recall 0.5806159476862927
deviation 4/5   iterations 841/2000   F1 0.566634082763115   accuracy 0.6977272727272728   precision 0.6637173579109064   recall 0.5777279914118519
deviation 4/5   iterations 851/2000   F1 0.5071251726398462   accuracy 0.6   precision 0.6411674347158218   recall 0.5600211086205725
deviation 4/5   iterations 861/2000   F1 0.5491730345076765   accuracy 0.6761363636363636   precision 0.6473425499231951   recall 0.5680569430569431
deviation 4/5   iterations 871/2000   F1 0.5843356950623387   accuracy 0.7556818181818182   precision 0.6348694316436252   recall 0.578002842928216
deviation 4/5   iterations 881/2000   F1 0.5179446000399872   accuracy 0.6170454545454546   precision 0.6467281105990783   recall 0.5630065856129686
deviation 4/5   iterations 891/2000   F1 0.5736434108527132   accuracy 0.7090909090909091   precision 0.66605222734255   recall 0.5805855235300783
deviation 4/5   iterations 901/2000   F1 0.5768086321421056   accuracy 0.7090909090909091   precision 0.6742857142857143   recall 0.5839444572686756
deviation 4/5   iterations 911/2000   F1 0.5701962670193261   accuracy 0.7045454545454546   precision 0.6634715821812596   recall 0.578735846488035
deviation 4/5   iterations 921/2000   F1 0.5549766792062926   accuracy 0.6840909090909091   precision 0.6518586789554532   recall 0.5709064201653671
deviation 4/5   iterations 931/2000   F1 0.5739630184907546   accuracy 0.7181818181818181   precision 0.6547465437788018   recall 0.5776016663482693
deviation 4/5   iterations 941/2000   F1 0.5772352724142171   accuracy 0.7159090909090909   precision 0.6658064516129032   recall 0.581753403740934
deviation 4/5   iterations 951/2000   F1 0.5341418370496569   accuracy 0.6511363636363636   precision 0.6413824884792627   recall 0.5630881094952951
deviation 4/5   iterations 961/2000   F1 0.5696128241569187   accuracy 0.7102272727272727   precision 0.654347158218126   recall 0.5759481424148607
deviation 4/5   iterations 971/2000   F1 0.5845170454545454   accuracy 0.7340909090909091   precision 0.6596620583717359   recall 0.5830982852684025
deviation 4/5   iterations 981/2000   F1 0.5924804360305682   accuracy 0.7534090909090909   precision 0.654162826420891   recall 0.5858799529012295
deviation 4/5   iterations 991/2000   F1 0.5626462359767027   accuracy 0.696590909090909   precision 0.6548387096774193   recall 0.573902027027027
deviation 4/5   iterations 1001/2000   F1 0.5731022752698306   accuracy 0.7215909090909091   precision 0.6484485407066052   recall 0.5756209935897436
deviation 4/5   iterations 1011/2000   F1 0.5451373237659483   accuracy 0.6625   precision 0.6560675883256528   recall 0.5701440438317427
deviation 4/5   iterations 1021/2000   F1 0.554359815777504   accuracy 0.6875   precision 0.6455606758832566   recall 0.5687527570755264
deviation 4/5   iterations 1031/2000   F1 0.5869150104396993   accuracy 0.7488636363636364   precision 0.6474654377880185   recall 0.581663763066202
deviation 4/5   iterations 1041/2000   F1 0.5790133537887974   accuracy 0.7363636363636363   precision 0.6444854070660522   recall 0.5771535064406691
deviation 4/5   iterations 1051/2000   F1 0.5584383001645525   accuracy 0.6909090909090909   precision 0.6516129032258065   recall 0.5717334046548948
deviation 4/5   iterations 1061/2000   F1 0.5943916618344559   accuracy 0.7534090909090909   precision 0.658279569892473   recall 0.5876524390243902
deviation 4/5   iterations 1071/2000   F1 0.5835569134264879   accuracy 0.7284090909090909   precision 0.6646697388632873   recall 0.5838842147435898
deviation 4/5   iterations 1081/2000   F1 0.5618940670035562   accuracy 0.6977272727272728   precision 0.6513671274961598   recall 0.5726374760430488
deviation 4/5   iterations 1091/2000   F1 0.5968672639656069   accuracy 0.7636363636363637   precision 0.6517357910906298   recall 0.5880461212644129
deviation 4/5   iterations 1101/2000   F1 0.5957740009186954   accuracy 0.7647727272727273   precision 0.6482642089093702   recall 0.5868960848146121
deviation 4/5   iterations 1111/2000   F1 0.5224091951259019   accuracy 0.6306818181818182   precision 0.6380030721966206   recall 0.5602002744660777
deviation 4/5   iterations 1121/2000   F1 0.5521676478623505   accuracy 0.6761363636363636   precision 0.6555760368663595   recall 0.5714382448537378
deviation 4/5   iterations 1131/2000   F1 0.5935198327048568   accuracy 0.75   precision 0.6604608294930876   recall 0.5875877890246111
deviation 4/5   iterations 1141/2000   F1 0.5914577530176415   accuracy 0.7545454545454545   precision 0.6506912442396313   recall 0.5847097589787164
deviation 4/5   iterations 1151/2000   F1 0.5931576514100786   accuracy 0.759090909090909   precision 0.6491551459293394   recall 0.5854326357947787
deviation 4/5   iterations 1161/2000   F1 0.5782030159959171   accuracy 0.7193181818181819   precision 0.6636251920122889   recall 0.5815250667385075
deviation 4/5   iterations 1171/2000   F1 0.5800842006076458   accuracy 0.7306818181818182   precision 0.6536098310291859   recall 0.5797519395671703
deviation 4/5   iterations 1181/2000   F1 0.554359815777504   accuracy 0.6875   precision 0.6455606758832566   recall 0.5687527570755264
deviation 4/5   iterations 1191/2000   F1 0.5818899610397463   accuracy 0.75   precision 0.6357603686635944   recall 0.5767875388368747
deviation 4/5   iterations 1201/2000   F1 0.5809725023208169   accuracy 0.7295454545454545   precision 0.6570814132104454   recall 0.5809639027356392
deviation 4/5   iterations 1211/2000   F1 0.5863004962758869   accuracy 0.7386363636363636   precision 0.658125960061444   recall 0.5835557373749181
deviation 4/5   iterations 1221/2000   F1 0.5713758920630789   accuracy 0.7193181818181819   precision 0.6471582181259601   recall 0.5746217502928787
deviation 4/5   iterations 1231/2000   F1 0.6085399940529289   accuracy 0.7875   precision 0.6488172043010753   recall 0.5961111111111111
update
deviation 4/5   iterations 1241/2000   F1 0.5880149812734082   accuracy 0.7454545454545455   precision 0.6537634408602151   recall 0.5834617360041089
deviation 4/5   iterations 1251/2000   F1 0.5644310446390428   accuracy 0.7011363636363637   precision 0.6533026113671275   recall 0.5739759007566594
deviation 4/5   iterations 1261/2000   F1 0.5809725023208169   accuracy 0.7295454545454545   precision 0.6570814132104454   recall 0.5809639027356392
deviation 4/5   iterations 1271/2000   F1 0.5907838790868959   accuracy 0.7465909090909091   precision 0.6585253456221198   recall 0.5858077905491699
deviation 4/5   iterations 1281/2000   F1 0.5856909613939305   accuracy 0.7522727272727273   precision 0.6411674347158218   recall 0.5798458341152838
deviation 4/5   iterations 1291/2000   F1 0.5736434108527132   accuracy 0.7318181818181818   precision 0.6377880184331797   recall 0.5731891200334206
deviation 4/5   iterations 1301/2000   F1 0.588069594034797   accuracy 0.7431818181818182   precision 0.6565898617511521   recall 0.5840672934190995
deviation 4/5   iterations 1311/2000   F1 0.6053284476506737   accuracy 0.7863636363636364   precision 0.6440552995391705   recall 0.5934220068696754
deviation 4/5   iterations 1321/2000   F1 0.581643245317911   accuracy 0.7522727272727273   precision 0.6329339477726574   recall 0.576141506711433
deviation 4/5   iterations 1331/2000   F1 0.5774147727272727   accuracy 0.7295454545454545   precision 0.648847926267281   recall 0.5774699234414874
deviation 4/5   iterations 1341/2000   F1 0.5757159003785992   accuracy 0.7227272727272728   precision 0.6532104454685099   recall 0.5778678541761653
deviation 4/5   iterations 1351/2000   F1 0.600622914349277   accuracy 0.7681818181818182   precision 0.65431643625192   recall 0.5907497741644083
deviation 4/5   iterations 1361/2000   F1 0.5748301648374218   accuracy 0.7193181818181819   precision 0.6553917050691245   recall 0.5780960498036019
deviation 4/5   iterations 1371/2000   F1 0.533354544490402   accuracy 0.6647727272727273   precision 0.6203072196620584   recall 0.5555694305694305
deviation 4/5   iterations 1381/2000   F1 0.5858681794457136   accuracy 0.75   precision 0.6439938556067588   recall 0.5804557845082704
deviation 4/5   iterations 1391/2000   F1 0.5905440900562852   accuracy 0.7534090909090909   precision 0.6500460829493087   recall 0.5840909090909091
deviation 4/5   iterations 1401/2000   F1 0.5925840621081309   accuracy 0.7738636363636363   precision 0.6328417818740399   recall 0.583092485549133
deviation 4/5   iterations 1411/2000   F1 0.5932225002789422   accuracy 0.7693181818181818   precision 0.6384946236559139   recall 0.5840643274853801
deviation 4/5   iterations 1421/2000   F1 0.5611262150240918   accuracy 0.7079545454545455   precision 0.6365898617511521   recall 0.5680549092601209
deviation 4/5   iterations 1431/2000   F1 0.5601246890645171   accuracy 0.7113636363636363   precision 0.6302918586789554   recall 0.565919957224305
deviation 4/5   iterations 1441/2000   F1 0.602938624399838   accuracy 0.7784090909090909   precision 0.6477726574500768   recall 0.591723874904653
deviation 4/5   iterations 1451/2000   F1 0.5914577530176415   accuracy 0.7545454545454545   precision 0.6506912442396313   recall 0.5847097589787164
deviation 4/5   iterations 1461/2000   F1 0.571372295607187   accuracy 0.7147727272727272   precision 0.6528110599078341   recall 0.5761370037471529
deviation 4/5   iterations 1471/2000   F1 0.602938624399838   accuracy 0.7784090909090909   precision 0.6477726574500768   recall 0.591723874904653
deviation 4/5   iterations 1481/2000   F1 0.5920689844565277   accuracy 0.7602272727272728   precision 0.6456835637480799   recall 0.5842572850035537
deviation 4/5   iterations 1491/2000   F1 0.5897435897435898   accuracy 0.75   precision 0.6522273425499232   recall 0.5840542832909245
deviation 4/5   iterations 1501/2000   F1 0.5611262150240918   accuracy 0.7079545454545455   precision 0.6365898617511521   recall 0.5680549092601209
deviation 4/5   iterations 1511/2000   F1 0.5824898785425101   accuracy 0.7613636363636364   precision 0.6257450076804916   recall 0.5755060176063873
deviation 4/5   iterations 1521/2000   F1 0.5748361198427705   accuracy 0.7238636363636364   precision 0.6497388632872504   recall 0.5766332922442202
deviation 4/5   iterations 1531/2000   F1 0.5910621533333791   accuracy 0.7693181818181818   precision 0.6343778801843318   recall 0.5821661507018123
deviation 4/5   iterations 1541/2000   F1 0.6089625922746381   accuracy 0.7829545454545455   precision 0.6544700460829493   recall 0.596620956831878
update
deviation 4/5   iterations 1551/2000   F1 0.6085399940529289   accuracy 0.7875   precision 0.6488172043010753   recall 0.5961111111111111
deviation 4/5   iterations 1561/2000   F1 0.5913194444444444   accuracy 0.7568181818181818   precision 0.6478648233486943   recall 0.5841580695925861
deviation 4/5   iterations 1571/2000   F1 0.5738636363636364   accuracy 0.7272727272727273   precision 0.6434408602150538   recall 0.5746557425280299
deviation 4/5   iterations 1581/2000   F1 0.6033816929339317   accuracy 0.7840909090909091   precision 0.6427649769585253   recall 0.5918241528940318
deviation 4/5   iterations 1591/2000   F1 0.5991200419376475   accuracy 0.7738636363636363   precision 0.6451920122887864   recall 0.588778515824592
deviation 4/5   iterations 1601/2000   F1 0.5413595413595413   accuracy 0.6738636363636363   precision 0.6295852534562212   recall 0.5604104127042324
deviation 4/5   iterations 1611/2000   F1 0.5813944638360757   accuracy 0.7443181818181818   precision 0.640768049155146   recall 0.5775012854861844
deviation 4/5   iterations 1621/2000   F1 0.609262701596213   accuracy 0.7988636363636363   precision 0.6388018433179723   recall 0.597106159083875
update
deviation 4/5   iterations 1631/2000   F1 0.6043532560214095   accuracy 0.7852272727272728   precision 0.643410138248848   recall 0.5926190476190476
deviation 4/5   iterations 1641/2000   F1 0.5927919911012236   accuracy 0.7636363636363637   precision 0.6435023041474655   recall 0.5843902439024391
deviation 4/5   iterations 1651/2000   F1 0.598395026026605   accuracy 0.7704545454545455   precision 0.647373271889401   recall 0.588493126425077
deviation 4/5   iterations 1661/2000   F1 0.583743395109747   accuracy 0.7602272727272728   precision 0.6292165898617511   recall 0.5767764829580303
deviation 4/5   iterations 1671/2000   F1 0.6036593947923998   accuracy 0.7818181818181819   precision 0.6455913978494623   recall 0.5921446626482598
deviation 4/5   iterations 1681/2000   F1 0.6102604314144032   accuracy 0.7920454545454545   precision 0.6472811059907834   recall 0.5975627625280844
update
deviation 4/5   iterations 1691/2000   F1 0.6167557932263815   accuracy 0.8045454545454546   precision 0.6461443932411675   recall 0.6037386927659871
update
deviation 4/5   iterations 1701/2000   F1 0.5924804360305682   accuracy 0.7534090909090909   precision 0.654162826420891   recall 0.5858799529012295
deviation 4/5   iterations 1711/2000   F1 0.5985767721923183   accuracy 0.7784090909090909   precision 0.6395391705069124   recall 0.5879659756437668
deviation 4/5   iterations 1721/2000   F1 0.6053856120781927   accuracy 0.7738636363636363   precision 0.657542242703533   recall 0.5942647058823529
deviation 4/5   iterations 1731/2000   F1 0.6192283218603575   accuracy 0.7875   precision 0.6694009216589861   recall 0.6051487414187643
update
deviation 4/5   iterations 1741/2000   F1 0.6193885160328113   accuracy 0.8022727272727272   precision 0.6530875576036866   recall 0.6055944055944056
update
deviation 4/5   iterations 1751/2000   F1 0.6110834731300978   accuracy 0.7829545454545455   precision 0.6585867895545314   recall 0.5984363081617087
deviation 4/5   iterations 1761/2000   F1 0.6132661432087192   accuracy 0.7954545454545454   precision 0.6492165898617511   recall 0.6001534159800064
deviation 4/5   iterations 1771/2000   F1 0.6164102564102565   accuracy 0.8068181818181818   precision 0.6433179723502304   recall 0.6037819799777531
deviation 4/5   iterations 1781/2000   F1 0.6112583617316673   accuracy 0.7931818181818182   precision 0.647926267281106   recall 0.5984171497248816
deviation 4/5   iterations 1791/2000   F1 0.6177606177606179   accuracy 0.7954545454545454   precision 0.6574500768049155   recall 0.6038500506585613
deviation 4/5   iterations 1801/2000   F1 0.6204239065121834   accuracy 0.803409090909091   precision 0.6537327188940092   recall 0.6065369941408911
update
deviation 4/5   iterations 1811/2000   F1 0.6000697766229951   accuracy 0.775   precision 0.6458371735791091   recall 0.5895045666749629
deviation 4/5   iterations 1821/2000   F1 0.6065972222222222   accuracy 0.7659090909090909   precision 0.6694930875576037   recall 0.5964679139709739
deviation 4/5   iterations 1831/2000   F1 0.6046959631648511   accuracy 0.7636363636363637   precision 0.6682027649769585   recall 0.5951373105073294
deviation 4/5   iterations 1841/2000   F1 0.5840713993732116   accuracy 0.7477272727272727   precision 0.6427035330261137   recall 0.5792602603217506
deviation 4/5   iterations 1851/2000   F1 0.6112583617316673   accuracy 0.7931818181818182   precision 0.647926267281106   recall 0.5984171497248816
deviation 4/5   iterations 1861/2000   F1 0.6167557932263815   accuracy 0.8045454545454546   precision 0.6461443932411675   recall 0.6037386927659871
deviation 4/5   iterations 1871/2000   F1 0.6170621423712537   accuracy 0.8022727272727272   precision 0.6489708141321044   recall 0.6037254750964739
deviation 4/5   iterations 1881/2000   F1 0.6048679597330113   accuracy 0.7806818181818181   precision 0.6490629800307219   recall 0.5932388390111918
deviation 4/5   iterations 1891/2000   F1 0.619874296785341   accuracy 0.8079545454545455   precision 0.6480798771121352   recall 0.6066900410823063
deviation 4/5   iterations 1901/2000   F1 0.6177606177606179   accuracy 0.7954545454545454   precision 0.6574500768049155   recall 0.6038500506585613
deviation 4/5   iterations 1911/2000   F1 0.594407743124904   accuracy 0.7443181818181818   precision 0.6695852534562212   recall 0.58984375
deviation 4/5   iterations 1921/2000   F1 0.6036658811207123   accuracy 0.7556818181818182   precision 0.6760368663594469   recall 0.5958193979933111
deviation 4/5   iterations 1931/2000   F1 0.6046620046620047   accuracy 0.759090909090909   precision 0.6738556067588326   recall 0.5959966072943172
deviation 4/5   iterations 1941/2000   F1 0.618092923029067   accuracy 0.803409090909091   precision 0.649615975422427   recall 0.604671756250215
deviation 4/5   iterations 1951/2000   F1 0.6338965693804404   accuracy 0.8227272727272728   precision 0.6564669738863287   recall 0.6208120237970984
update
deviation 4/5   iterations 1961/2000   F1 0.6122602491291192   accuracy 0.7943181818181818   precision 0.6485714285714286   recall 0.5992806464327947
deviation 4/5   iterations 1971/2000   F1 0.6068110948140142   accuracy 0.7829545454545455   precision 0.650353302611367   recall 0.5947832419199901
deviation 4/5   iterations 1981/2000   F1 0.6095270811863048   accuracy 0.7886363636363637   precision 0.6494623655913978   recall 0.5969285697208297
deviation 4/5   iterations 1991/2000   F1 0.61529015335344   accuracy 0.7977272727272727   precision 0.6505069124423963   recall 0.6019274461338726

deviation 5/5   iterations 1/2000   F1 0.11493095512082854   accuracy 0.12400455062571103   precision 0.48241315136476426   recall 0.390625
update
deviation 5/5   iterations 21/2000   F1 0.5047670621441114   accuracy 0.8828213879408419   precision 0.5172952853598015   recall 0.7283748361730014
update
deviation 5/5   iterations 31/2000   F1 0.509573603310671   accuracy 0.6564277588168373   precision 0.572059553349876   recall 0.5337694051979767
update
deviation 5/5   iterations 41/2000   F1 0.5090419638687702   accuracy 0.6530147895335608   precision 0.5742866004962779   recall 0.5345260062276553
deviation 5/5   iterations 51/2000   F1 0.5120638240192091   accuracy 0.6575654152445961   precision 0.5768672456575683   recall 0.5359618063617367
update
deviation 5/5   iterations 61/2000   F1 0.46843471614779886   accuracy 0.5688282138794084   precision 0.5681699751861042   recall 0.5287673169352559
deviation 5/5   iterations 71/2000   F1 0.4547689244553356   accuracy 0.5392491467576792   precision 0.5722084367245658   recall 0.5301476301476301
deviation 5/5   iterations 81/2000   F1 0.467198727095935   accuracy 0.5631399317406144   precision 0.5732692307692309   recall 0.5307972715041146
deviation 5/5   iterations 91/2000   F1 0.42616795373781385   accuracy 0.4869169510807736   precision 0.5716687344913152   recall 0.5302894447066226
deviation 5/5   iterations 101/2000   F1 0.44574150210060437   accuracy 0.5210466439135382   precision 0.5743734491315137   recall 0.5310550800920073
deviation 5/5   iterations 111/2000   F1 0.47811906577252994   accuracy 0.5756541524459613   precision 0.5886910669975186   recall 0.5373914635422116
deviation 5/5   iterations 121/2000   F1 0.46131744271988173   accuracy 0.5472127417519909   precision 0.5808870967741935   recall 0.5337938005390835
deviation 5/5   iterations 131/2000   F1 0.4496327513546057   accuracy 0.5267349260523322   precision 0.5775992555831266   recall 0.5323869344131567
deviation 5/5   iterations 141/2000   F1 0.45900386317277453   accuracy 0.5437997724687145   precision 0.5789516129032258   recall 0.532970819257632
deviation 5/5   iterations 151/2000   F1 0.48110979929161746   accuracy 0.5858930602957907   precision 0.5820099255583127   recall 0.5348591920683472
deviation 5/5   iterations 161/2000   F1 0.43285964706240565   accuracy 0.4937428896473265   precision 0.58386476426799   recall 0.5354078489712106
deviation 5/5   iterations 171/2000   F1 0.5213645099295323   accuracy 0.6518771331058021   precision 0.6069416873449132   recall 0.5484491984621265
update
deviation 5/5   iterations 181/2000   F1 0.4772100567721005   accuracy 0.5620022753128555   precision 0.6100868486352358   recall 0.5460174879938595
deviation 5/5   iterations 191/2000   F1 0.5197394228075091   accuracy 0.6450511945392492   precision 0.6113957816377171   recall 0.5498036366056868
deviation 5/5   iterations 201/2000   F1 0.4822936428226017   accuracy 0.5676905574516496   precision 0.6174751861042184   recall 0.5491364726151803
deviation 5/5   iterations 211/2000   F1 0.5139440671996679   accuracy 0.6302616609783845   precision 0.6154962779156328   recall 0.5505292297671389
deviation 5/5   iterations 221/2000   F1 0.5136025645985163   accuracy 0.6257110352673493   precision 0.6212406947890818   recall 0.5526287443854415
deviation 5/5   iterations 231/2000   F1 0.5099471830985915   accuracy 0.6109215017064846   precision 0.633666253101737   recall 0.5569640666638467
deviation 5/5   iterations 241/2000   F1 0.5420464051424294   accuracy 0.676905574516496   precision 0.6294602977667494   recall 0.5602669546835473
update
deviation 5/5   iterations 251/2000   F1 0.5416288276527513   accuracy 0.6655290102389079   precision 0.6438213399503723   recall 0.564978306931692
deviation 5/5   iterations 261/2000   F1 0.5351323900252172   accuracy 0.6564277588168373   precision 0.6386600496277917   recall 0.5619931439221647
deviation 5/5   iterations 271/2000   F1 0.5443185451313814   accuracy 0.6734926052332195   precision 0.6400124069478907   recall 0.5642639119837817
update
deviation 5/5   iterations 281/2000   F1 0.5297062431842966   accuracy 0.6427758816837316   precision 0.6434057071960297   recall 0.5628042816778961
deviation 5/5   iterations 291/2000   F1 0.5216728249916023   accuracy 0.6313993174061433   precision 0.636954094292804   recall 0.5593946731234867
deviation 5/5   iterations 301/2000   F1 0.5468410467733053   accuracy 0.6666666666666666   precision 0.656954094292804   recall 0.5704417889836737
update
deviation 5/5   iterations 311/2000   F1 0.5606953365754341   accuracy 0.6916951080773607   precision 0.6586600496277916   recall 0.5742280009287206
update
deviation 5/5   iterations 321/2000   F1 0.5478651701336663   accuracy 0.6700796359499431   precision 0.654727047146402   recall 0.5699054922140383
deviation 5/5   iterations 331/2000   F1 0.5711300873831177   accuracy 0.7098976109215017   precision 0.6606575682382134   recall 0.5779590608067429
update
deviation 5/5   iterations 341/2000   F1 0.5128740133098958   accuracy 0.602957906712173   precision 0.658287841191067   recall 0.5666722409774554
deviation 5/5   iterations 351/2000   F1 0.5817353156716493   accuracy 0.7303754266211604   precision 0.6597828784119106   recall 0.5817018550003806
update
deviation 5/5   iterations 361/2000   F1 0.5311767044325184   accuracy 0.6336746302616609   precision 0.6632196029776675   recall 0.5701776378960846
deviation 5/5   iterations 371/2000   F1 0.5458222111596529   accuracy 0.6575654152445961   precision 0.6684429280397022   recall 0.5741642084562438
deviation 5/5   iterations 381/2000   F1 0.5610407469059854   accuracy 0.6860068259385665   precision 0.6679218362282879   recall 0.5771909112685214
deviation 5/5   iterations 391/2000   F1 0.5349106066210314   accuracy 0.6370875995449374   precision 0.669317617866005   recall 0.5728586072137869
deviation 5/5   iterations 401/2000   F1 0.5743745549489674   accuracy 0.7098976109215017   precision 0.6689826302729529   recall 0.5813620071684588
deviation 5/5   iterations 411/2000   F1 0.537826527582655   accuracy 0.6393629124004551   precision 0.6747704714640199   recall 0.5752050099301685
deviation 5/5   iterations 421/2000   F1 0.5510201982804723   accuracy 0.6609783845278726   precision 0.6787034739454094   recall 0.5785959838480846
deviation 5/5   iterations 431/2000   F1 0.5819318458541337   accuracy 0.7155858930602957   precision 0.6805334987593052   recall 0.5870910592657321
update
deviation 5/5   iterations 441/2000   F1 0.5464971708406282   accuracy 0.6530147895335608   precision 0.6783498759305211   recall 0.5777153051846246
deviation 5/5   iterations 451/2000   F1 0.5574079183335633   accuracy 0.6678043230944255   precision 0.6867369727047147   recall 0.5824947382267824
deviation 5/5   iterations 461/2000   F1 0.5717007473105035   accuracy 0.6962457337883959   precision 0.6820533498759305   recall 0.584341123590339
deviation 5/5   iterations 471/2000   F1 0.5456643063700981   accuracy 0.6518771331058021   precision 0.6777047146401985   recall 0.5773588981906562
deviation 5/5   iterations 481/2000   F1 0.5893748822310156   accuracy 0.7292377701934016   precision 0.6799503722084368   recall 0.5897224937211576
update
deviation 5/5   iterations 491/2000   F1 0.5468463149584595   accuracy 0.6552901023890785   precision 0.6754776674937966   recall 0.5767708842208109
deviation 5/5   iterations 501/2000   F1 0.5291711029614733   accuracy 0.6291240045506257   precision 0.6648014888337469   recall 0.5705304518664047
deviation 5/5   iterations 511/2000   F1 0.5781172155155895   accuracy 0.7007963594994312   precision 0.6929590570719604   recall 0.58939348653278
deviation 5/5   iterations 521/2000   F1 0.5569042244884171   accuracy 0.6689419795221843   precision 0.6832196029776675   recall 0.5812213312213312
deviation 5/5   iterations 531/2000   F1 0.538653184336757   accuracy 0.6405005688282139   precision 0.6754156327543424   recall 0.5755447385575515
deviation 5/5   iterations 541/2000   F1 0.5469621634731991   accuracy 0.6518771331058021   precision 0.6818672456575683   recall 0.5790198594100396
deviation 5/5   iterations 551/2000   F1 0.5464971708406282   accuracy 0.6530147895335608   precision 0.6783498759305211   recall 0.5777153051846246
deviation 5/5   iterations 561/2000   F1 0.5320596238022004   accuracy 0.6313993174061433   precision 0.6702543424317617   recall 0.5728641214888759
deviation 5/5   iterations 571/2000   F1 0.5616493340631272   accuracy 0.6734926052332195   precision 0.6899627791563275   recall 0.5844102145676671
deviation 5/5   iterations 581/2000   F1 0.5435233817969602   accuracy 0.6507394766780432   precision 0.6728970223325061   recall 0.5753392442017624
deviation 5/5   iterations 591/2000   F1 0.5357332677819264   accuracy 0.6382252559726962   precision 0.6699627791563276   recall 0.5731964050995437
deviation 5/5   iterations 601/2000   F1 0.5550004189710072   accuracy 0.6700796359499431   precision 0.6755397022332505   recall 0.5782861537780533
deviation 5/5   iterations 611/2000   F1 0.5246561963318869   accuracy 0.6245733788395904   precision 0.6580583126550867   recall 0.5675462874594388
deviation 5/5   iterations 621/2000   F1 0.5735080058224162   accuracy 0.7087599544937428   precision 0.6683374689826302   recall 0.5808967326496542
deviation 5/5   iterations 631/2000   F1 0.5140376862331983   accuracy 0.602957906712173   precision 0.6624503722084367   recall 0.5683662280701754
deviation 5/5   iterations 641/2000   F1 0.5691176470588235   accuracy 0.6928327645051194   precision 0.6801178660049627   recall 0.5830520594965676
deviation 5/5   iterations 651/2000   F1 0.5782276203328836   accuracy 0.7087599544937428   precision 0.6808250620347395   recall 0.5859355652778924
deviation 5/5   iterations 661/2000   F1 0.5510201982804723   accuracy 0.6609783845278726   precision 0.6787034739454094   recall 0.5785959838480846
deviation 5/5   iterations 671/2000   F1 0.5669911091170465   accuracy 0.6939704209328783   precision 0.6724379652605459   recall 0.5801435820551263
deviation 5/5   iterations 681/2000   F1 0.5291711029614733   accuracy 0.6291240045506257   precision 0.6648014888337469   recall 0.5705304518664047
deviation 5/5   iterations 691/2000   F1 0.5510201982804723   accuracy 0.6609783845278726   precision 0.6787034739454094   recall 0.5785959838480846
deviation 5/5   iterations 701/2000   F1 0.5791028296412859   accuracy 0.7098976109215017   precision 0.681470223325062   recall 0.5863990785043417
deviation 5/5   iterations 711/2000   F1 0.5366001528850461   accuracy 0.6359499431171786   precision 0.6769975186104218   recall 0.5758636092912448
deviation 5/5   iterations 721/2000   F1 0.49702760216264363   accuracy 0.5790671217292378   precision 0.6489019851116625   recall 0.5622549019607843
deviation 5/5   iterations 731/2000   F1 0.5788887956826888   accuracy 0.7076222980659841   precision 0.6843424317617866   recall 0.5871385842472582
deviation 5/5   iterations 741/2000   F1 0.5481655150418097   accuracy 0.6552901023890785   precision 0.6796401985111662   recall 0.5784327533531235
deviation 5/5   iterations 751/2000   F1 0.48413610654989964   accuracy 0.5608646188850968   precision 0.6385794044665012   recall 0.5578287116615238
deviation 5/5   iterations 761/2000   F1 0.5618868273338395   accuracy 0.6871444823663254   precision 0.6685669975186104   recall 0.577606100416976
deviation 5/5   iterations 771/2000   F1 0.5332988109440344   accuracy 0.6313993174061433   precision 0.6744168734491315   recall 0.5745371254056117
deviation 5/5   iterations 781/2000   F1 0.5502631322483189   accuracy 0.6655290102389079   precision 0.6687965260545906   recall 0.5750952144394768
deviation 5/5   iterations 791/2000   F1 0.547330902980119   accuracy 0.6541524459613197   precision 0.6789950372208438   recall 0.5780732515098382
deviation 5/5   iterations 801/2000   F1 0.5234542403511036   accuracy 0.6177474402730375   precision 0.6666749379652606   recall 0.570675505050505
deviation 5/5   iterations 811/2000   F1 0.5533225667228201   accuracy 0.6678043230944255   precision 0.6742493796526055   recall 0.5775211127670145
deviation 5/5   iterations 821/2000   F1 0.5458222111596529   accuracy 0.6575654152445961   precision 0.6684429280397022   recall 0.5741642084562438
deviation 5/5   iterations 831/2000   F1 0.5561207523001318   accuracy 0.6734926052332195   precision 0.6733126550868487   recall 0.5777835935585897
deviation 5/5   iterations 841/2000   F1 0.5097938748252349   accuracy 0.5938566552901023   precision 0.6656141439205956   recall 0.5693976542516688
deviation 5/5   iterations 851/2000   F1 0.5543169320859815   accuracy 0.676905574516496   precision 0.6627605459057072   recall 0.5739445352573136
deviation 5/5   iterations 861/2000   F1 0.5458222111596529   accuracy 0.6575654152445961   precision 0.6684429280397022   recall 0.5741642084562438
deviation 5/5   iterations 871/2000   F1 0.5373807493471193   accuracy 0.6405005688282139   precision 0.6712531017369727   recall 0.5738760436737316
deviation 5/5   iterations 881/2000   F1 0.5550004189710072   accuracy 0.6700796359499431   precision 0.6755397022332505   recall 0.5782861537780533
deviation 5/5   iterations 891/2000   F1 0.537826527582655   accuracy 0.6393629124004551   precision 0.6747704714640199   recall 0.5752050099301685
deviation 5/5   iterations 901/2000   F1 0.5533225667228201   accuracy 0.6678043230944255   precision 0.6742493796526055   recall 0.5775211127670145
deviation 5/5   iterations 911/2000   F1 0.5555399171162718   accuracy 0.6689419795221843   precision 0.6790570719602977   recall 0.5795642490131652
deviation 5/5   iterations 921/2000   F1 0.5263245294568709   accuracy 0.6234357224118316   precision 0.6657382133995038   recall 0.5705850338698257
deviation 5/5   iterations 931/2000   F1 0.5422007033591933   accuracy 0.6507394766780432   precision 0.6687344913151365   recall 0.5736712097245997
deviation 5/5   iterations 941/2000   F1 0.5759688236017442   accuracy 0.7098976109215017   precision 0.6731451612903225   recall 0.5830496673371499
deviation 5/5   iterations 951/2000   F1 0.5158180023445702   accuracy 0.6006825938566553   precision 0.6736476426799007   recall 0.572856369466539
deviation 5/5   iterations 961/2000   F1 0.5733651892542704   accuracy 0.7064846416382252   precision 0.6712096774193548   recall 0.5816635104746124
deviation 5/5   iterations 971/2000   F1 0.5491040685826716   accuracy 0.6678043230944255   precision 0.6617617866004963   recall 0.5725058391725059
deviation 5/5   iterations 981/2000   F1 0.496221181253391   accuracy 0.5733788395904437   precision 0.6581637717121589   recall 0.5660217103082532
deviation 5/5   iterations 991/2000   F1 0.5649292168450512   accuracy 0.6973833902161547   precision 0.6618858560794045   recall 0.5763889702008079
deviation 5/5   iterations 1001/2000   F1 0.5494305001694164   accuracy 0.664391353811149   precision 0.6681513647642681   recall 0.5747182834586632
deviation 5/5   iterations 1011/2000   F1 0.5443528168155145   accuracy 0.6518771331058021   precision 0.6735421836228288   recall 0.5756948503149555
deviation 5/5   iterations 1021/2000   F1 0.5267265202330138   accuracy 0.6222980659840728   precision 0.6692555831265509   recall 0.5719438877755512
deviation 5/5   iterations 1031/2000   F1 0.5580693815987934   accuracy 0.6723549488054608   precision 0.6809925558312655   recall 0.5807179850382896
deviation 5/5   iterations 1041/2000   F1 0.5143738398009825   accuracy 0.6018202502844141   precision 0.6659677419354839   recall 0.5697612566100316
deviation 5/5   iterations 1051/2000   F1 0.5622886334976499   accuracy 0.6837315130830489   precision 0.6749565756823821   recall 0.5797127255460588
deviation 5/5   iterations 1061/2000   F1 0.5424045106404211   accuracy 0.6439135381114903   precision 0.6815136476426799   recall 0.5782361308677098
deviation 5/5   iterations 1071/2000   F1 0.5403087192879603   accuracy 0.6427758816837316   precision 0.6767059553349876   recall 0.576228323699422
deviation 5/5   iterations 1081/2000   F1 0.5541609656194171   accuracy 0.6689419795221843   precision 0.6748945409429281   recall 0.57790273556231
deviation 5/5   iterations 1091/2000   F1 0.5002919304283695   accuracy 0.5790671217292378   precision 0.6613895781637718   recall 0.5674066473898579
deviation 5/5   iterations 1101/2000   F1 0.5499231950844854   accuracy 0.6541524459613197   precision 0.6873200992555831   recall 0.5813890805589098
deviation 5/5   iterations 1111/2000   F1 0.5693173541680461   accuracy 0.7053469852104665   precision 0.6622394540942929   recall 0.5778187076732644
deviation 5/5   iterations 1121/2000   F1 0.5267209677973674   accuracy 0.6257110352673493   precision 0.6628660049627791   recall 0.5695514416810605
deviation 5/5   iterations 1131/2000   F1 0.5455131847710902   accuracy 0.6552901023890785   precision 0.6713151364764267   recall 0.5751055219529176
deviation 5/5   iterations 1141/2000   F1 0.5582969865718164   accuracy 0.6803185437997725   precision 0.6688585607940447   recall 0.5768240779417243
deviation 5/5   iterations 1151/2000   F1 0.5460142711518858   accuracy 0.6541524459613197   precision 0.6748325062034739   recall 0.5764106540576299
deviation 5/5   iterations 1161/2000   F1 0.5426947920326477   accuracy 0.6496018202502845   precision 0.6722518610421836   recall 0.5749851471779638
deviation 5/5   iterations 1171/2000   F1 0.5654728322892106   accuracy 0.6939704209328783   precision 0.6682754342431761   recall 0.5784650630011454
deviation 5/5   iterations 1181/2000   F1 0.5299890589909593   accuracy 0.6302616609783845   precision 0.6654466501240694   recall 0.5708592380041447
deviation 5/5   iterations 1191/2000   F1 0.5242714995872222   accuracy 0.6188850967007964   precision 0.6673200992555831   recall 0.5709909037311547
deviation 5/5   iterations 1201/2000   F1 0.5408640880932247   accuracy 0.6507394766780432   precision 0.6645719602977668   recall 0.5719996743201433
deviation 5/5   iterations 1211/2000   F1 0.5334833725226739   accuracy 0.6405005688282139   precision 0.6587655086848636   recall 0.5688539144471348
deviation 5/5   iterations 1221/2000   F1 0.540213974438111   accuracy 0.646188850967008   precision 0.6703163771712158   recall 0.573931752819397
deviation 5/5   iterations 1231/2000   F1 0.5524852086428441   accuracy 0.6666666666666666   precision 0.6736042183622829   recall 0.5771412662359141
deviation 5/5   iterations 1241/2000   F1 0.5557762118300235   accuracy 0.676905574516496   precision 0.666923076923077   recall 0.5756233558918092
deviation 5/5   iterations 1251/2000   F1 0.5308296375854701   accuracy 0.6279863481228669   precision 0.6724813895781637   recall 0.5735555555555556
deviation 5/5   iterations 1261/2000   F1 0.5386927480916031   accuracy 0.6496018202502845   precision 0.6597642679900745   recall 0.5699684851119322
deviation 5/5   iterations 1271/2000   F1 0.5463757916959888   accuracy 0.6621160409556314   precision 0.6626985111662531   recall 0.5722953006814122
deviation 5/5   iterations 1281/2000   F1 0.5328814340125534   accuracy 0.6325369738339022   precision 0.6708995037220844   recall 0.573194643711143
deviation 5/5   iterations 1291/2000   F1 0.5436293993865959   accuracy 0.6564277588168373   precision 0.6636352357320099   recall 0.572127005654661
deviation 5/5   iterations 1301/2000   F1 0.5709180759814315   accuracy 0.7053469852104665   precision 0.6664019851116625   recall 0.5795171579671307
deviation 5/5   iterations 1311/2000   F1 0.5644329145655406   accuracy 0.6905574516496018   precision 0.6705024813895781   recall 0.5788647606367716
deviation 5/5   iterations 1321/2000   F1 0.5563789943421786   accuracy 0.6757679180887372   precision 0.670440446650124   recall 0.5769004702194357
deviation 5/5   iterations 1331/2000   F1 0.5466517212449628   accuracy 0.658703071672355   precision 0.6690880893300248   recall 0.5745305100132343
deviation 5/5   iterations 1341/2000   F1 0.5408640880932247   accuracy 0.6507394766780432   precision 0.6645719602977668   recall 0.5719996743201433
deviation 5/5   iterations 1351/2000   F1 0.5357332677819264   accuracy 0.6382252559726962   precision 0.6699627791563276   recall 0.5731964050995437
deviation 5/5   iterations 1361/2000   F1 0.5283866811760689   accuracy 0.6370875995449374   precision 0.6485049627791564   recall 0.5644637490709723
deviation 5/5   iterations 1371/2000   F1 0.49327233254424807   accuracy 0.5722411831626849   precision 0.6491935483870968   recall 0.5622966616242203
deviation 5/5   iterations 1381/2000   F1 0.5526478752936153   accuracy 0.6746302616609784   precision 0.661470223325062   recall 0.5731529779436563
deviation 5/5   iterations 1391/2000   F1 0.5644329145655406   accuracy 0.6905574516496018   precision 0.6705024813895781   recall 0.5788647606367716
deviation 5/5   iterations 1401/2000   F1 0.5483135604911022   accuracy 0.6609783845278726   precision 0.6703784119106699   recall 0.5752680215732702
deviation 5/5   iterations 1411/2000   F1 0.5010660284491968   accuracy 0.5847554038680318   precision 0.6521277915632755   recall 0.5636762567511425
deviation 5/5   iterations 1421/2000   F1 0.5157459129810895   accuracy 0.608646188850967   precision 0.6573511166253101   recall 0.5665014944156048
deviation 5/5   iterations 1431/2000   F1 0.5654728322892106   accuracy 0.6939704209328783   precision 0.6682754342431761   recall 0.5784650630011454
deviation 5/5   iterations 1441/2000   F1 0.5654728322892106   accuracy 0.6939704209328783   precision 0.6682754342431761   recall 0.5784650630011454
deviation 5/5   iterations 1451/2000   F1 0.5308296375854701   accuracy 0.6279863481228669   precision 0.6724813895781637   recall 0.5735555555555556
deviation 5/5   iterations 1461/2000   F1 0.523060227889311   accuracy 0.6188850967007964   precision 0.6631575682382134   recall 0.5693087309869399
deviation 5/5   iterations 1471/2000   F1 0.5572196838550387   accuracy 0.676905574516496   precision 0.6710856079404466   recall 0.5772962701375576
deviation 5/5   iterations 1481/2000   F1 0.5408640880932247   accuracy 0.6507394766780432   precision 0.6645719602977668   recall 0.5719996743201433
deviation 5/5   iterations 1491/2000   F1 0.513685214626391   accuracy 0.6040955631399317   precision 0.6589330024813895   recall 0.5669740887132191
deviation 5/5   iterations 1501/2000   F1 0.5303593966331481   accuracy 0.6325369738339022   precision 0.6625744416873449   recall 0.5698443579766537
deviation 5/5   iterations 1511/2000   F1 0.5622886334976499   accuracy 0.6837315130830489   precision 0.6749565756823821   recall 0.5797127255460588
deviation 5/5   iterations 1521/2000   F1 0.5383966444863055   accuracy 0.6473265073947668   precision 0.662636476426799   recall 0.57093804792519
deviation 5/5   iterations 1531/2000   F1 0.5205055404392918   accuracy 0.6222980659840728   precision 0.6484429280397022   recall 0.5635294429989911
deviation 5/5   iterations 1541/2000   F1 0.5480069110206096   accuracy 0.658703071672355   precision 0.6732506203473945   recall 0.5761977518280039
deviation 5/5   iterations 1551/2000   F1 0.5628822135993626   accuracy 0.6825938566552902   precision 0.6784739454094293   recall 0.5809692671394799
deviation 5/5   iterations 1561/2000   F1 0.56006006006006   accuracy 0.676905574516496   precision 0.6794106699751861   recall 0.5806254669536224
deviation 5/5   iterations 1571/2000   F1 0.5485130977428981   accuracy 0.6575654152445961   precision 0.6767679900744417   recall 0.577496083721335
deviation 5/5   iterations 1581/2000   F1 0.5533225667228201   accuracy 0.6678043230944255   precision 0.6742493796526055   recall 0.5775211127670145
deviation 5/5   iterations 1591/2000   F1 0.5633497176322945   accuracy 0.6973833902161547   precision 0.6577233250620347   recall 0.5746880287648054
deviation 5/5   iterations 1601/2000   F1 0.5635828951891128   accuracy 0.689419795221843   precision 0.6698573200992556   recall 0.5784430005500549
deviation 5/5   iterations 1611/2000   F1 0.5488400037765323   accuracy 0.6598407281001137   precision 0.6738957816377171   recall 0.5765650606358571
deviation 5/5   iterations 1621/2000   F1 0.5205595143837425   accuracy 0.6120591581342435   precision 0.6676116625310173   recall 0.5708015387195505
deviation 5/5   iterations 1631/2000   F1 0.5246507435781883   accuracy 0.6177474402730375   precision 0.6708374689826303   recall 0.5723575655025276
deviation 5/5   iterations 1641/2000   F1 0.47733818606636563   accuracy 0.5483503981797497   precision 0.6398076923076923   recall 0.5583775410821228
deviation 5/5   iterations 1651/2000   F1 0.5463435141638412   accuracy 0.6564277588168373   precision 0.6719602977667494   recall 0.5754679996079584
deviation 5/5   iterations 1661/2000   F1 0.5812211441505737   accuracy 0.7167235494880546   precision 0.677016129032258   recall 0.5858970499698977
deviation 5/5   iterations 1671/2000   F1 0.5788538221384192   accuracy 0.7178612059158134   precision 0.6693362282878412   recall 0.5830049261083744
deviation 5/5   iterations 1681/2000   F1 0.5449684082095081   accuracy 0.6621160409556314   precision 0.6585359801488834   recall 0.57061619231832
deviation 5/5   iterations 1691/2000   F1 0.5654376361343575   accuracy 0.6860068259385665   precision 0.680409429280397   recall 0.5821971238637905
deviation 5/5   iterations 1701/2000   F1 0.5480069110206096   accuracy 0.658703071672355   precision 0.6732506203473945   recall 0.5761977518280039
deviation 5/5   iterations 1711/2000   F1 0.5501835576816109   accuracy 0.6598407281001137   precision 0.6780583126550868   recall 0.5782277142452223
deviation 5/5   iterations 1721/2000   F1 0.5747428435327568   accuracy 0.7042093287827076   precision 0.6782444168734492   recall 0.5841080732978162
deviation 5/5   iterations 1731/2000   F1 0.5807084766969034   accuracy 0.7224118316268487   precision 0.6677543424317618   recall 0.5832779009608278
deviation 5/5   iterations 1741/2000   F1 0.5680045365761452   accuracy 0.689419795221843   precision 0.6823449131513648   recall 0.5834440470107307
deviation 5/5   iterations 1751/2000   F1 0.5721456108173535   accuracy 0.7007963594994312   precision 0.6763089330024814   recall 0.5827645051194539
deviation 5/5   iterations 1761/2000   F1 0.5461098609597593   accuracy 0.6598407281001137   precision 0.6655707196029776   recall 0.5732276119402985
deviation 5/5   iterations 1771/2000   F1 0.5599719663596315   accuracy 0.6928327645051194   precision 0.6551426799007444   recall 0.572953373316842
deviation 5/5   iterations 1781/2000   F1 0.5100824603775742   accuracy 0.6006825938566553   precision 0.6528349875930521   recall 0.5643754507352864
deviation 5/5   iterations 1791/2000   F1 0.5652842791054173   accuracy 0.6916951080773607   precision 0.6711476426799008   recall 0.579288760647898
deviation 5/5   iterations 1801/2000   F1 0.562384674182008   accuracy 0.6939704209328783   precision 0.6599503722084368   recall 0.5750853242320819
deviation 5/5   iterations 1811/2000   F1 0.5678466076696165   accuracy 0.6951080773606371   precision 0.6730831265508685   recall 0.5805744550589703
deviation 5/5   iterations 1821/2000   F1 0.5499792444997924   accuracy 0.6632536973833902   precision 0.6716687344913151   recall 0.5760121957919024
deviation 5/5   iterations 1831/2000   F1 0.5471747520473742   accuracy 0.6575654152445961   precision 0.672605459057072   recall 0.5758320705556585
deviation 5/5   iterations 1841/2000   F1 0.5530199252801993   accuracy 0.6655290102389079   precision 0.67712158808933   recall 0.5784266329725869
deviation 5/5   iterations 1851/2000   F1 0.5472036977738176   accuracy 0.6632536973833902   precision 0.6633436724565757   recall 0.572669316111939
deviation 5/5   iterations 1861/2000   F1 0.5441659464131374   accuracy 0.6552901023890785   precision 0.6671526054590571   recall 0.5734364268660946
deviation 5/5   iterations 1871/2000   F1 0.5576690821256038   accuracy 0.6814562002275313   precision 0.6653411910669975   recall 0.5755513351097001
deviation 5/5   iterations 1881/2000   F1 0.5433391665755222   accuracy 0.6541524459613197   precision 0.6665074441687344   recall 0.5730749126074031
deviation 5/5   iterations 1891/2000   F1 0.5469385637193857   accuracy 0.6609783845278726   precision 0.6662158808933003   recall 0.573597758611218
deviation 5/5   iterations 1901/2000   F1 0.5321570054167677   accuracy 0.6405005688282139   precision 0.6546029776674938   recall 0.5671737536656891
deviation 5/5   iterations 1911/2000   F1 0.5691176470588235   accuracy 0.6928327645051194   precision 0.6801178660049627   recall 0.5830520594965676
deviation 5/5   iterations 1921/2000   F1 0.5494305001694164   accuracy 0.664391353811149   precision 0.6681513647642681   recall 0.5747182834586632
deviation 5/5   iterations 1931/2000   F1 0.5654728322892106   accuracy 0.6939704209328783   precision 0.6682754342431761   recall 0.5784650630011454
deviation 5/5   iterations 1941/2000   F1 0.5988965402804282   accuracy 0.7497155858930603   precision 0.6749131513647643   recall 0.5929040250942352
update
deviation 5/5   iterations 1951/2000   F1 0.5944557397560213   accuracy 0.7315130830489193   precision 0.6895657568238214   recall 0.5941056910569106
deviation 5/5   iterations 1961/2000   F1 0.5457935310876487   accuracy 0.6632536973833902   precision 0.6591811414392059   recall 0.5709906599973441
deviation 5/5   iterations 1971/2000   F1 0.5711300873831177   accuracy 0.7098976109215017   precision 0.6606575682382134   recall 0.5779590608067429
deviation 5/5   iterations 1981/2000   F1 0.5375758037096243   accuracy 0.646188850967008   precision 0.6619913151364765   recall 0.5705871222360382
deviation 5/5   iterations 1991/2000   F1 0.4993164730006835   accuracy 0.590443686006826   precision 0.6345409429280398   recall 0.5565970772442589

