preprocessing time for sampling: 0.061046600341796875
amortized time for sample size  10 is:  0.00017356371879577638
preprocessing time for sampling: 0.06084299087524414
amortized time for sample size  20 is:  0.00017451155185699461
preprocessing time for sampling: 0.060935258865356445
amortized time for sample size  30 is:  0.00017529233296712248
preprocessing time for sampling: 0.06103992462158203
amortized time for sample size  40 is:  0.0001753445267677307
preprocessing time for sampling: 0.060487985610961914
amortized time for sample size  50 is:  0.00017565436363220214
preprocessing time for sampling: 0.06148195266723633
amortized time for sample size  60 is:  0.00017532368501027421
preprocessing time for sampling: 0.06106281280517578
amortized time for sample size  70 is:  0.00017536108834402902
preprocessing time for sampling: 0.06155586242675781
amortized time for sample size  80 is:  0.0001753575503826142
preprocessing time for sampling: 0.061120033264160156
amortized time for sample size  90 is:  0.00017499189906650117
preprocessing time for sampling: 0.061019182205200195
amortized time for sample size  100 is:  0.00017582776546478274
preprocessing time for sampling: 0.06110405921936035
amortized time for sample size  110 is:  0.00017796195637096061
preprocessing time for sampling: 0.06089591979980469
amortized time for sample size  120 is:  0.00017461262146631872
preprocessing time for sampling: 0.06106972694396973
amortized time for sample size  130 is:  0.00017463717093834513
preprocessing time for sampling: 0.0610659122467041
amortized time for sample size  140 is:  0.00017580882140568323
preprocessing time for sampling: 0.06102299690246582
amortized time for sample size  150 is:  0.00017539324760437006
preprocessing time for sampling: 0.06055474281311035
amortized time for sample size  160 is:  0.00017531642317771912
preprocessing time for sampling: 0.06093883514404297
amortized time for sample size  170 is:  0.00017800443312701057
preprocessing time for sampling: 0.06215691566467285
amortized time for sample size  180 is:  0.000184513184759352
preprocessing time for sampling: 0.060899972915649414
amortized time for sample size  190 is:  0.00017498129292538292
preprocessing time for sampling: 0.06222987174987793
amortized time for sample size  200 is:  0.00017953015565872195
preprocessing time for sampling: 0.06206703186035156
amortized time for sample size  210 is:  0.00017604320389883862
preprocessing time for sampling: 0.06055569648742676
amortized time for sample size  220 is:  0.00017481702024286442
preprocessing time for sampling: 0.06065702438354492
amortized time for sample size  230 is:  0.00017513285512509556
preprocessing time for sampling: 0.06098294258117676
amortized time for sample size  240 is:  0.00017463426788647972
preprocessing time for sampling: 0.06108593940734863
amortized time for sample size  250 is:  0.00017371422767639165
preprocessing time for sampling: 0.0610659122467041
amortized time for sample size  260 is:  0.00017431855201721194
preprocessing time for sampling: 0.06096315383911133
amortized time for sample size  270 is:  0.00017575438817342122
preprocessing time for sampling: 0.06221318244934082
amortized time for sample size  280 is:  0.00017634275981358118
preprocessing time for sampling: 0.06066775321960449
amortized time for sample size  290 is:  0.00017722325489438816
preprocessing time for sampling: 0.06133890151977539
amortized time for sample size  300 is:  0.00017550354003906246
preprocessing time for sampling: 0.06107187271118164
amortized time for sample size  310 is:  0.0001745494488746889
preprocessing time for sampling: 0.06105399131774902
amortized time for sample size  320 is:  0.00017669039964675906
preprocessing time for sampling: 0.06287789344787598
amortized time for sample size  330 is:  0.00017535073829419684
preprocessing time for sampling: 0.060578107833862305
amortized time for sample size  340 is:  0.00017615853337680593
preprocessing time for sampling: 0.0605320930480957
amortized time for sample size  350 is:  0.00018018592425755092
preprocessing time for sampling: 0.06411504745483398
amortized time for sample size  360 is:  0.00018488030301200023
preprocessing time for sampling: 0.06341981887817383
amortized time for sample size  370 is:  0.00017802793915207323
preprocessing time for sampling: 0.06102395057678223
amortized time for sample size  380 is:  0.00018082302495052937
preprocessing time for sampling: 0.06306195259094238
amortized time for sample size  390 is:  0.00017626980023506363
preprocessing time for sampling: 0.06063079833984375
amortized time for sample size  400 is:  0.00017621593475341795
preprocessing time for sampling: 0.06066298484802246
amortized time for sample size  410 is:  0.0001761730647668606
preprocessing time for sampling: 0.062148094177246094
amortized time for sample size  420 is:  0.00017626816318148665
preprocessing time for sampling: 0.06107306480407715
amortized time for sample size  430 is:  0.0001755704158960387
preprocessing time for sampling: 0.06102180480957031
amortized time for sample size  440 is:  0.00017573452537710018
preprocessing time for sampling: 0.0610041618347168
amortized time for sample size  450 is:  0.0001770188967386881
preprocessing time for sampling: 0.06208205223083496
amortized time for sample size  460 is:  0.0001770559704822043
preprocessing time for sampling: 0.06053519248962402
amortized time for sample size  470 is:  0.00017454968614781158
preprocessing time for sampling: 0.06098318099975586
amortized time for sample size  480 is:  0.00017469009757041932
preprocessing time for sampling: 0.06068897247314453
amortized time for sample size  490 is:  0.00017449786225143745
preprocessing time for sampling: 0.06120133399963379
amortized time for sample size  500 is:  0.00017510690689086914
beta =  0.2 

mean of accuracies: [np.float64(0.48999999999999994), np.float64(0.45999999999999996), np.float64(0.59), np.float64(0.5), np.float64(0.6599999999999999), np.float64(0.6), np.float64(0.6799999999999999), np.float64(0.62), np.float64(0.65), np.float64(0.62), np.float64(0.62), np.float64(0.67), np.float64(0.62), np.float64(0.6599999999999999), np.float64(0.6100000000000001), np.float64(0.71), np.float64(0.6399999999999999), np.float64(0.64), np.float64(0.69), np.float64(0.67), np.float64(0.77), np.float64(0.7299999999999999), np.float64(0.7), np.float64(0.67), np.float64(0.73), np.float64(0.72), np.float64(0.65), np.float64(0.75), np.float64(0.74), np.float64(0.72), np.float64(0.6699999999999998), np.float64(0.7200000000000001), np.float64(0.75), np.float64(0.72), np.float64(0.77), np.float64(0.7300000000000001), np.float64(0.79), np.float64(0.66), np.float64(0.79), np.float64(0.7500000000000001), np.float64(0.74), np.float64(0.7), np.float64(0.8), np.float64(0.75), np.float64(0.6699999999999999), np.float64(0.73), np.float64(0.65), np.float64(0.78), np.float64(0.75), np.float64(0.78)] 

variance of accuracies: [np.float64(0.15132745950421556), np.float64(0.12), np.float64(0.1374772708486752), np.float64(0.18439088914585774), np.float64(0.14966629547095767), np.float64(0.14832396974191325), np.float64(0.16613247725836153), np.float64(0.16613247725836153), np.float64(0.1284523257866513), np.float64(0.1077032961426901), np.float64(0.208806130178211), np.float64(0.2147091055358389), np.float64(0.11661903789690602), np.float64(0.11135528725660045), np.float64(0.21189620100417092), np.float64(0.13747727084867523), np.float64(0.15620499351813308), np.float64(0.1854723699099141), np.float64(0.13000000000000003), np.float64(0.15524174696260024), np.float64(0.10049875621120892), np.float64(0.14866068747318506), np.float64(0.11832159566199232), np.float64(0.16155494421403513), np.float64(0.12688577540449522), np.float64(0.11661903789690603), np.float64(0.08062257748298547), np.float64(0.14317821063276356), np.float64(0.16852299546352717), np.float64(0.1077032961426901), np.float64(0.07810249675906657), np.float64(0.14), np.float64(0.14317821063276356), np.float64(0.09797958971132716), np.float64(0.17916472867168917), np.float64(0.19519221295943137), np.float64(0.13000000000000003), np.float64(0.14966629547095767), np.float64(0.07000000000000003), np.float64(0.15), np.float64(0.11135528725660046), np.float64(0.11832159566199234), np.float64(0.10954451150103324), np.float64(0.1857417562100671), np.float64(0.09000000000000001), np.float64(0.10049875621120893), np.float64(0.10246950765959599), np.float64(0.15362291495737218), np.float64(0.12041594578792297), np.float64(0.15362291495737218)] 

preprocessing time for sampling: 0.06094169616699219
amortized time for sample size  10 is:  0.00017427968978881835
preprocessing time for sampling: 0.06065988540649414
amortized time for sample size  20 is:  0.00017363476753234867
preprocessing time for sampling: 0.060938119888305664
amortized time for sample size  30 is:  0.00017359089851379396
preprocessing time for sampling: 0.06105923652648926
amortized time for sample size  40 is:  0.00017415285110473634
preprocessing time for sampling: 0.06060481071472168
amortized time for sample size  50 is:  0.00017374067306518556
preprocessing time for sampling: 0.06106281280517578
amortized time for sample size  60 is:  0.00017420756816864015
preprocessing time for sampling: 0.06101179122924805
amortized time for sample size  70 is:  0.0001753902094704764
preprocessing time for sampling: 0.06065511703491211
amortized time for sample size  80 is:  0.00017624768614768984
preprocessing time for sampling: 0.060914039611816406
amortized time for sample size  90 is:  0.00017497309048970542
preprocessing time for sampling: 0.06097888946533203
amortized time for sample size  100 is:  0.00017590389251708984
preprocessing time for sampling: 0.060365915298461914
amortized time for sample size  110 is:  0.00017451119422912602
preprocessing time for sampling: 0.06098771095275879
amortized time for sample size  120 is:  0.00017534035444259643
preprocessing time for sampling: 0.06066393852233887
amortized time for sample size  130 is:  0.0001749854454627404
preprocessing time for sampling: 0.06183600425720215
amortized time for sample size  140 is:  0.0001809538432529994
preprocessing time for sampling: 0.060256004333496094
amortized time for sample size  150 is:  0.00017463669776916508
preprocessing time for sampling: 0.06047201156616211
amortized time for sample size  160 is:  0.00017468257248401642
preprocessing time for sampling: 0.060630083084106445
amortized time for sample size  170 is:  0.00017467904090881343
preprocessing time for sampling: 0.06059598922729492
amortized time for sample size  180 is:  0.0001748132308324178
preprocessing time for sampling: 0.0606229305267334
amortized time for sample size  190 is:  0.00017397865496183694
preprocessing time for sampling: 0.06065511703491211
amortized time for sample size  200 is:  0.0001739979028701782
preprocessing time for sampling: 0.060755014419555664
amortized time for sample size  210 is:  0.00017538631530035107
preprocessing time for sampling: 0.06416893005371094
amortized time for sample size  220 is:  0.00017551961812106048
preprocessing time for sampling: 0.06075692176818848
amortized time for sample size  230 is:  0.0001748544755189315
preprocessing time for sampling: 0.06757307052612305
amortized time for sample size  240 is:  0.0001749853789806366
preprocessing time for sampling: 0.061348915100097656
amortized time for sample size  250 is:  0.00017491446495056153
preprocessing time for sampling: 0.06227993965148926
amortized time for sample size  260 is:  0.00017795358254359318
preprocessing time for sampling: 0.061141252517700195
amortized time for sample size  270 is:  0.00017528495082148797
preprocessing time for sampling: 0.06118607521057129
amortized time for sample size  280 is:  0.00017504110506602697
preprocessing time for sampling: 0.06120014190673828
amortized time for sample size  290 is:  0.00017562526669995544
preprocessing time for sampling: 0.06115102767944336
amortized time for sample size  300 is:  0.00017585857709248863
preprocessing time for sampling: 0.061286211013793945
amortized time for sample size  310 is:  0.0001759555416722452
preprocessing time for sampling: 0.06120777130126953
amortized time for sample size  320 is:  0.00017537214607000348
preprocessing time for sampling: 0.06129193305969238
amortized time for sample size  330 is:  0.00017538186275597778
preprocessing time for sampling: 0.06142282485961914
amortized time for sample size  340 is:  0.00017615021677578198
preprocessing time for sampling: 0.06145524978637695
amortized time for sample size  350 is:  0.00017544940539768764
preprocessing time for sampling: 0.06113314628601074
amortized time for sample size  360 is:  0.0001754218604829576
preprocessing time for sampling: 0.061525583267211914
amortized time for sample size  370 is:  0.00017564030595727868
preprocessing time for sampling: 0.061096906661987305
amortized time for sample size  380 is:  0.0001784710821352507
preprocessing time for sampling: 0.061177968978881836
amortized time for sample size  390 is:  0.0001751119723686805
preprocessing time for sampling: 0.061270952224731445
amortized time for sample size  400 is:  0.00017534822821617128
preprocessing time for sampling: 0.06119704246520996
amortized time for sample size  410 is:  0.00017536459899530177
preprocessing time for sampling: 0.06100893020629883
amortized time for sample size  420 is:  0.0001753092663628714
preprocessing time for sampling: 0.06108903884887695
amortized time for sample size  430 is:  0.00017459583282470703
preprocessing time for sampling: 0.0611271858215332
amortized time for sample size  440 is:  0.00017529108307578348
preprocessing time for sampling: 0.06124615669250488
amortized time for sample size  450 is:  0.00017495730188157825
preprocessing time for sampling: 0.061393022537231445
amortized time for sample size  460 is:  0.00017474259500918182
preprocessing time for sampling: 0.06003904342651367
amortized time for sample size  470 is:  0.00017459889675708527
preprocessing time for sampling: 0.06123614311218262
amortized time for sample size  480 is:  0.00017461558183034262
preprocessing time for sampling: 0.060401201248168945
amortized time for sample size  490 is:  0.00017570477602433187
preprocessing time for sampling: 0.06123709678649902
amortized time for sample size  500 is:  0.0001755495500564575
beta =  0.30000000000000004 

mean of accuracies: [np.float64(0.5900000000000001), np.float64(0.5799999999999998), np.float64(0.77), np.float64(0.73), np.float64(0.77), np.float64(0.78), np.float64(0.8300000000000001), np.float64(0.8400000000000001), np.float64(0.8300000000000001), np.float64(0.86), np.float64(0.8100000000000002), np.float64(0.8), np.float64(0.8400000000000001), np.float64(0.8800000000000001), np.float64(0.8200000000000001), np.float64(0.9200000000000002), np.float64(0.8600000000000001), np.float64(0.8800000000000001), np.float64(0.8800000000000001), np.float64(0.9400000000000001), np.float64(0.9099999999999999), np.float64(0.9100000000000001), np.float64(0.8800000000000001), np.float64(0.9), np.float64(0.8400000000000001), np.float64(0.8700000000000001), np.float64(0.9), np.float64(0.95), np.float64(0.9099999999999999), np.float64(0.89), np.float64(0.95), np.float64(0.89), np.float64(0.9399999999999998), np.float64(0.93), np.float64(0.9200000000000002), np.float64(0.89), np.float64(0.9199999999999999), np.float64(0.9), np.float64(0.8799999999999999), np.float64(0.9200000000000002), np.float64(0.9199999999999999), np.float64(0.9), np.float64(0.95), np.float64(0.9099999999999999), np.float64(0.9), np.float64(0.9200000000000002), np.float64(0.9199999999999999), np.float64(0.9199999999999999), np.float64(0.97), np.float64(0.89)] 

variance of accuracies: [np.float64(0.1445683229480096), np.float64(0.132664991614216), np.float64(0.15524174696260024), np.float64(0.12688577540449522), np.float64(0.14866068747318506), np.float64(0.1077032961426901), np.float64(0.14177446878757827), np.float64(0.08000000000000002), np.float64(0.0640312423743285), np.float64(0.10198039027185571), np.float64(0.10440306508910553), np.float64(0.15491933384829668), np.float64(0.12000000000000001), np.float64(0.08717797887081348), np.float64(0.07483314773547885), np.float64(0.059999999999999984), np.float64(0.10198039027185571), np.float64(0.12489995996796799), np.float64(0.08717797887081345), np.float64(0.06633249580710798), np.float64(0.08306623862918076), np.float64(0.08306623862918074), np.float64(0.09797958971132711), np.float64(0.1264911064067352), np.float64(0.11135528725660045), np.float64(0.09), np.float64(0.07745966692414831), np.float64(0.06708203932499368), np.float64(0.11357816691600549), np.float64(0.06999999999999999), np.float64(0.06708203932499367), np.float64(0.06999999999999999), np.float64(0.09165151389911681), np.float64(0.06403124237432847), np.float64(0.09797958971132713), np.float64(0.12206555615733702), np.float64(0.08717797887081347), np.float64(0.10954451150103324), np.float64(0.11661903789690603), np.float64(0.0748331477354788), np.float64(0.08717797887081348), np.float64(0.0894427190999916), np.float64(0.06708203932499368), np.float64(0.11357816691600547), np.float64(0.1), np.float64(0.0748331477354788), np.float64(0.08717797887081348), np.float64(0.08717797887081347), np.float64(0.04582575694955839), np.float64(0.06999999999999999)] 

preprocessing time for sampling: 0.06083035469055176
amortized time for sample size  10 is:  0.00017475891113281246
preprocessing time for sampling: 0.06082487106323242
amortized time for sample size  20 is:  0.00017418503761291505
preprocessing time for sampling: 0.06157207489013672
amortized time for sample size  30 is:  0.00017546844482421871
preprocessing time for sampling: 0.06139397621154785
amortized time for sample size  40 is:  0.0001754046678543091
preprocessing time for sampling: 0.06150317192077637
amortized time for sample size  50 is:  0.00018253345489501954
preprocessing time for sampling: 0.06451606750488281
amortized time for sample size  60 is:  0.0001772061983744303
preprocessing time for sampling: 0.060337066650390625
amortized time for sample size  70 is:  0.00017541926247732978
preprocessing time for sampling: 0.061653852462768555
amortized time for sample size  80 is:  0.00018159338831901547
preprocessing time for sampling: 0.06601500511169434
amortized time for sample size  90 is:  0.00017895359463161893
preprocessing time for sampling: 0.06119513511657715
amortized time for sample size  100 is:  0.00018086500167846682
preprocessing time for sampling: 0.062416791915893555
amortized time for sample size  110 is:  0.000175883488221602
preprocessing time for sampling: 0.06112408638000488
amortized time for sample size  120 is:  0.00017377704381942748
preprocessing time for sampling: 0.06090188026428223
amortized time for sample size  130 is:  0.0001754554601816031
preprocessing time for sampling: 0.06119394302368164
amortized time for sample size  140 is:  0.0001757997955594744
preprocessing time for sampling: 0.061638832092285156
amortized time for sample size  150 is:  0.00017883353233337398
preprocessing time for sampling: 0.06145000457763672
amortized time for sample size  160 is:  0.0001785610765218735
preprocessing time for sampling: 0.06141495704650879
amortized time for sample size  170 is:  0.0001772119718439439
preprocessing time for sampling: 0.063323974609375
amortized time for sample size  180 is:  0.00017807330025566945
preprocessing time for sampling: 0.06167030334472656
amortized time for sample size  190 is:  0.00017675897949620295
preprocessing time for sampling: 0.061164140701293945
amortized time for sample size  200 is:  0.00017587615251541137
preprocessing time for sampling: 0.06235814094543457
amortized time for sample size  210 is:  0.00017527244204566594
preprocessing time for sampling: 0.06125283241271973
amortized time for sample size  220 is:  0.00017532117800279098
preprocessing time for sampling: 0.06151914596557617
amortized time for sample size  230 is:  0.00017587010756782862
preprocessing time for sampling: 0.06133389472961426
amortized time for sample size  240 is:  0.00017513758937517802
preprocessing time for sampling: 0.06078982353210449
amortized time for sample size  250 is:  0.00017655109405517575
preprocessing time for sampling: 0.06099200248718262
amortized time for sample size  260 is:  0.00017583121703221242
preprocessing time for sampling: 0.06128287315368652
amortized time for sample size  270 is:  0.00017632047335306805
preprocessing time for sampling: 0.061553955078125
amortized time for sample size  280 is:  0.00017675635644367763
preprocessing time for sampling: 0.06081104278564453
amortized time for sample size  290 is:  0.00017637076049015438
preprocessing time for sampling: 0.06104707717895508
amortized time for sample size  300 is:  0.00017694450219472247
preprocessing time for sampling: 0.0610508918762207
amortized time for sample size  310 is:  0.00017573189735412603
preprocessing time for sampling: 0.06110787391662598
amortized time for sample size  320 is:  0.00017453135550022123
preprocessing time for sampling: 0.06119203567504883
amortized time for sample size  330 is:  0.00017555220199353766
preprocessing time for sampling: 0.061281681060791016
amortized time for sample size  340 is:  0.0001755872824612786
preprocessing time for sampling: 0.06111407279968262
amortized time for sample size  350 is:  0.0001772984913417271
preprocessing time for sampling: 0.06175684928894043
amortized time for sample size  360 is:  0.0001757489972644382
preprocessing time for sampling: 0.0612490177154541
amortized time for sample size  370 is:  0.00017526687802495183
preprocessing time for sampling: 0.061109066009521484
amortized time for sample size  380 is:  0.0001750876903533936
preprocessing time for sampling: 0.06059694290161133
amortized time for sample size  390 is:  0.00017603648625887355
preprocessing time for sampling: 0.061466217041015625
amortized time for sample size  400 is:  0.00017501980662345886
preprocessing time for sampling: 0.06116890907287598
amortized time for sample size  410 is:  0.00017602679787612546
preprocessing time for sampling: 0.06125903129577637
amortized time for sample size  420 is:  0.00017528553236098514
preprocessing time for sampling: 0.06106305122375488
amortized time for sample size  430 is:  0.00017537520098131757
preprocessing time for sampling: 0.06138110160827637
amortized time for sample size  440 is:  0.0001746884801171043
preprocessing time for sampling: 0.0601041316986084
amortized time for sample size  450 is:  0.0001755984041425916
preprocessing time for sampling: 0.06010794639587402
amortized time for sample size  460 is:  0.00017760503810384997
preprocessing time for sampling: 0.061241865158081055
amortized time for sample size  470 is:  0.00017518300198494122
preprocessing time for sampling: 0.06161689758300781
amortized time for sample size  480 is:  0.00017755232254664104
preprocessing time for sampling: 0.06095480918884277
amortized time for sample size  490 is:  0.0001759499919657805
preprocessing time for sampling: 0.0614161491394043
amortized time for sample size  500 is:  0.00017555525779724116
beta =  0.4 

mean of accuracies: [np.float64(0.6799999999999999), np.float64(0.77), np.float64(0.82), np.float64(0.8099999999999999), np.float64(0.8400000000000001), np.float64(0.86), np.float64(0.93), np.float64(0.9200000000000002), np.float64(0.9100000000000001), np.float64(0.9199999999999999), np.float64(0.89), np.float64(0.9400000000000001), np.float64(0.9400000000000001), np.float64(0.93), np.float64(0.96), np.float64(0.95), np.float64(0.93), np.float64(0.93), np.float64(0.99), np.float64(0.9099999999999999), np.float64(1.0), np.float64(0.95), np.float64(0.9800000000000001), np.float64(0.9800000000000001), np.float64(1.0), np.float64(0.97), np.float64(0.9800000000000001), np.float64(0.99), np.float64(0.9800000000000001), np.float64(1.0), np.float64(1.0), np.float64(0.97), np.float64(1.0), np.float64(0.9800000000000001), np.float64(0.99), np.float64(1.0), np.float64(0.99), np.float64(0.9800000000000001), np.float64(1.0), np.float64(0.99), np.float64(0.9800000000000001), np.float64(1.0), np.float64(0.99), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(0.99), np.float64(1.0), np.float64(0.9800000000000001)] 

variance of accuracies: [np.float64(0.18330302779823363), np.float64(0.11000000000000001), np.float64(0.132664991614216), np.float64(0.1135781669160055), np.float64(0.11135528725660046), np.float64(0.08), np.float64(0.1004987562112089), np.float64(0.09797958971132713), np.float64(0.11357816691600547), np.float64(0.10770329614269009), np.float64(0.13747727084867523), np.float64(0.06633249580710798), np.float64(0.06633249580710798), np.float64(0.06403124237432847), np.float64(0.06633249580710798), np.float64(0.08062257748298547), np.float64(0.07810249675906653), np.float64(0.09), np.float64(0.029999999999999992), np.float64(0.09433981132056604), np.float64(0.0), np.float64(0.04999999999999999), np.float64(0.05999999999999999), np.float64(0.039999999999999994), np.float64(0.0), np.float64(0.04582575694955839), np.float64(0.039999999999999994), np.float64(0.029999999999999992), np.float64(0.039999999999999994), np.float64(0.0), np.float64(0.0), np.float64(0.04582575694955839), np.float64(0.0), np.float64(0.039999999999999994), np.float64(0.029999999999999992), np.float64(0.0), np.float64(0.029999999999999992), np.float64(0.039999999999999994), np.float64(0.0), np.float64(0.029999999999999992), np.float64(0.039999999999999994), np.float64(0.0), np.float64(0.029999999999999992), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.029999999999999992), np.float64(0.0), np.float64(0.039999999999999994)] 

preprocessing time for sampling: 0.06119799613952637
amortized time for sample size  10 is:  0.00017386221885681155
preprocessing time for sampling: 0.06126809120178223
amortized time for sample size  20 is:  0.00017426860332489012
preprocessing time for sampling: 0.06210684776306152
amortized time for sample size  30 is:  0.00017560315132141116
preprocessing time for sampling: 0.060591697692871094
amortized time for sample size  40 is:  0.00017495477199554448
preprocessing time for sampling: 0.0612177848815918
amortized time for sample size  50 is:  0.00022354369163513185
preprocessing time for sampling: 0.06364321708679199
amortized time for sample size  60 is:  0.00021377253532409667
preprocessing time for sampling: 0.06458401679992676
amortized time for sample size  70 is:  0.00019014961378914969
preprocessing time for sampling: 0.06183314323425293
amortized time for sample size  80 is:  0.00018945726752281193
preprocessing time for sampling: 0.06262826919555664
amortized time for sample size  90 is:  0.00017546931902567543
preprocessing time for sampling: 0.06115579605102539
amortized time for sample size  100 is:  0.00017521162033081055
preprocessing time for sampling: 0.06180596351623535
amortized time for sample size  110 is:  0.00017635687914761627
preprocessing time for sampling: 0.061202049255371094
amortized time for sample size  120 is:  0.00017595994472503662
preprocessing time for sampling: 0.060973167419433594
amortized time for sample size  130 is:  0.00017494458418626047
preprocessing time for sampling: 0.06130576133728027
amortized time for sample size  140 is:  0.0001757116998944964
preprocessing time for sampling: 0.06139087677001953
amortized time for sample size  150 is:  0.0001750789006551107
preprocessing time for sampling: 0.06125497817993164
amortized time for sample size  160 is:  0.0001753405034542084
preprocessing time for sampling: 0.061312198638916016
amortized time for sample size  170 is:  0.00017660446727977086
preprocessing time for sampling: 0.06262826919555664
amortized time for sample size  180 is:  0.0001786883274714152
preprocessing time for sampling: 0.0613250732421875
amortized time for sample size  190 is:  0.0001751198517648797
preprocessing time for sampling: 0.06146097183227539
amortized time for sample size  200 is:  0.000176339602470398
preprocessing time for sampling: 0.06121706962585449
amortized time for sample size  210 is:  0.00017621831666855587
preprocessing time for sampling: 0.061199188232421875
amortized time for sample size  220 is:  0.00017657631093805483
preprocessing time for sampling: 0.06158781051635742
amortized time for sample size  230 is:  0.00017727128319118332
preprocessing time for sampling: 0.06273627281188965
amortized time for sample size  240 is:  0.000177626887957255
preprocessing time for sampling: 0.06116199493408203
amortized time for sample size  250 is:  0.00017613638877868657
preprocessing time for sampling: 0.0614008903503418
amortized time for sample size  260 is:  0.000175219306579003
preprocessing time for sampling: 0.0611567497253418
amortized time for sample size  270 is:  0.00017559931013319226
preprocessing time for sampling: 0.0612339973449707
amortized time for sample size  280 is:  0.00017604643106460574
preprocessing time for sampling: 0.060205936431884766
amortized time for sample size  290 is:  0.00017538900210939602
preprocessing time for sampling: 0.06011009216308594
amortized time for sample size  300 is:  0.00017526136239369712
preprocessing time for sampling: 0.060495853424072266
amortized time for sample size  310 is:  0.00017534222141388925
preprocessing time for sampling: 0.06117677688598633
amortized time for sample size  320 is:  0.00017503066360950473
preprocessing time for sampling: 0.06318330764770508
amortized time for sample size  330 is:  0.00017558219938567193
preprocessing time for sampling: 0.061120033264160156
amortized time for sample size  340 is:  0.00017475967547472785
preprocessing time for sampling: 0.061038970947265625
amortized time for sample size  350 is:  0.00017496500015258787
preprocessing time for sampling: 0.06111001968383789
amortized time for sample size  360 is:  0.00017450555827882555
preprocessing time for sampling: 0.06015610694885254
amortized time for sample size  370 is:  0.00017454031351450328
preprocessing time for sampling: 0.05997514724731445
amortized time for sample size  380 is:  0.00017403401826557362
preprocessing time for sampling: 0.06127429008483887
amortized time for sample size  390 is:  0.00017494213275420358
preprocessing time for sampling: 0.059906721115112305
amortized time for sample size  400 is:  0.00017437115907669072
preprocessing time for sampling: 0.06002473831176758
amortized time for sample size  410 is:  0.00017332985924511417
preprocessing time for sampling: 0.06122183799743652
amortized time for sample size  420 is:  0.00017354977698553177
preprocessing time for sampling: 0.06173419952392578
amortized time for sample size  430 is:  0.00017356446177460425
preprocessing time for sampling: 0.060018301010131836
amortized time for sample size  440 is:  0.00017386325381018905
preprocessing time for sampling: 0.061174631118774414
amortized time for sample size  450 is:  0.00017354923884073896
preprocessing time for sampling: 0.05999588966369629
amortized time for sample size  460 is:  0.00017329048592111334
preprocessing time for sampling: 0.060073137283325195
amortized time for sample size  470 is:  0.00017378446396361006
preprocessing time for sampling: 0.059990882873535156
amortized time for sample size  480 is:  0.0001732741246620814
preprocessing time for sampling: 0.06018686294555664
amortized time for sample size  490 is:  0.00017334564851254834
preprocessing time for sampling: 0.060614824295043945
amortized time for sample size  500 is:  0.00017351011753082273
beta =  0.5 

mean of accuracies: [np.float64(0.78), np.float64(0.8299999999999998), np.float64(0.8400000000000001), np.float64(0.93), np.float64(0.96), np.float64(0.97), np.float64(0.96), np.float64(0.95), np.float64(0.96), np.float64(1.0), np.float64(0.97), np.float64(0.99), np.float64(0.9800000000000001), np.float64(0.97), np.float64(0.99), np.float64(1.0), np.float64(0.99), np.float64(1.0), np.float64(0.99), np.float64(1.0), np.float64(0.99), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(0.99), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(0.99), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0)] 

variance of accuracies: [np.float64(0.16), np.float64(0.11874342087037917), np.float64(0.12806248474865697), np.float64(0.07810249675906653), np.float64(0.04898979485566356), np.float64(0.045825756949558386), np.float64(0.04898979485566356), np.float64(0.08062257748298547), np.float64(0.04898979485566354), np.float64(0.0), np.float64(0.045825756949558386), np.float64(0.029999999999999992), np.float64(0.039999999999999994), np.float64(0.06403124237432847), np.float64(0.029999999999999992), np.float64(0.0), np.float64(0.029999999999999992), np.float64(0.0), np.float64(0.029999999999999992), np.float64(0.0), np.float64(0.029999999999999992), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.029999999999999992), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.029999999999999992), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0)] 

preprocessing time for sampling: 0.06006813049316406
amortized time for sample size  10 is:  0.00017338275909423823
preprocessing time for sampling: 0.059931039810180664
amortized time for sample size  20 is:  0.000172976016998291
preprocessing time for sampling: 0.0599057674407959
amortized time for sample size  30 is:  0.0001730511983235677
preprocessing time for sampling: 0.06034994125366211
amortized time for sample size  40 is:  0.00017294770479202266
preprocessing time for sampling: 0.059895992279052734
amortized time for sample size  50 is:  0.00017365617752075193
preprocessing time for sampling: 0.05995917320251465
amortized time for sample size  60 is:  0.00017386778195699055
preprocessing time for sampling: 0.06124711036682129
amortized time for sample size  70 is:  0.00017490959167480467
preprocessing time for sampling: 0.0612490177154541
amortized time for sample size  80 is:  0.00017495399713516238
preprocessing time for sampling: 0.06136798858642578
amortized time for sample size  90 is:  0.00017376632160610622
preprocessing time for sampling: 0.06002306938171387
amortized time for sample size  100 is:  0.00017398381233215334
preprocessing time for sampling: 0.060014963150024414
amortized time for sample size  110 is:  0.00017343789880925958
preprocessing time for sampling: 0.06008505821228027
amortized time for sample size  120 is:  0.00017236248652140304
preprocessing time for sampling: 0.059783935546875
amortized time for sample size  130 is:  0.00017294544440049395
preprocessing time for sampling: 0.06109428405761719
amortized time for sample size  140 is:  0.00017354658671787807
preprocessing time for sampling: 0.0599977970123291
amortized time for sample size  150 is:  0.00017363114356994626
preprocessing time for sampling: 0.060964107513427734
amortized time for sample size  160 is:  0.00017309476435184483
preprocessing time for sampling: 0.06119871139526367
amortized time for sample size  170 is:  0.00017381777482874253
preprocessing time for sampling: 0.05993795394897461
amortized time for sample size  180 is:  0.00017364658249749082
preprocessing time for sampling: 0.06076478958129883
amortized time for sample size  190 is:  0.00017254259711817693
preprocessing time for sampling: 0.060086965560913086
amortized time for sample size  200 is:  0.00017292647361755365
preprocessing time for sampling: 0.06117606163024902
amortized time for sample size  210 is:  0.00017338474591573077
preprocessing time for sampling: 0.060037851333618164
amortized time for sample size  220 is:  0.00017339141802354293
preprocessing time for sampling: 0.061132192611694336
amortized time for sample size  230 is:  0.00017286803411400837
preprocessing time for sampling: 0.06002616882324219
amortized time for sample size  240 is:  0.00017281102140744527
preprocessing time for sampling: 0.060105085372924805
amortized time for sample size  250 is:  0.00017255884170532223
preprocessing time for sampling: 0.059906959533691406
amortized time for sample size  260 is:  0.0001726905199197622
preprocessing time for sampling: 0.06021881103515625
amortized time for sample size  270 is:  0.00017170196109347874
preprocessing time for sampling: 0.06029915809631348
amortized time for sample size  280 is:  0.00017188845361982075
preprocessing time for sampling: 0.05995893478393555
amortized time for sample size  290 is:  0.00017280866359842238
preprocessing time for sampling: 0.0599520206451416
amortized time for sample size  300 is:  0.00017269793351491292
preprocessing time for sampling: 0.06015491485595703
amortized time for sample size  310 is:  0.00017330558838382846
preprocessing time for sampling: 0.06115102767944336
amortized time for sample size  320 is:  0.00017487302422523494
preprocessing time for sampling: 0.06003308296203613
amortized time for sample size  330 is:  0.0001748442794337417
preprocessing time for sampling: 0.061064958572387695
amortized time for sample size  340 is:  0.00017526331368614644
preprocessing time for sampling: 0.06135988235473633
amortized time for sample size  350 is:  0.0001756176267351423
preprocessing time for sampling: 0.06067824363708496
amortized time for sample size  360 is:  0.00017458107736375596
preprocessing time for sampling: 0.06119489669799805
amortized time for sample size  370 is:  0.00017524505305934596
preprocessing time for sampling: 0.06112098693847656
amortized time for sample size  380 is:  0.00017583634978846497
preprocessing time for sampling: 0.06114673614501953
amortized time for sample size  390 is:  0.00017544333140055344
preprocessing time for sampling: 0.061087846755981445
amortized time for sample size  400 is:  0.00017497687935829167
preprocessing time for sampling: 0.06116986274719238
amortized time for sample size  410 is:  0.00017562720833755118
preprocessing time for sampling: 0.06124711036682129
amortized time for sample size  420 is:  0.00017565960543496268
preprocessing time for sampling: 0.06118297576904297
amortized time for sample size  430 is:  0.0001756483510483143
preprocessing time for sampling: 0.061188697814941406
amortized time for sample size  440 is:  0.00017535546692934903
preprocessing time for sampling: 0.06123208999633789
amortized time for sample size  450 is:  0.00017623456848992245
preprocessing time for sampling: 0.061460018157958984
amortized time for sample size  460 is:  0.00017564785998800525
preprocessing time for sampling: 0.06114673614501953
amortized time for sample size  470 is:  0.0001758601817678898
preprocessing time for sampling: 0.061180830001831055
amortized time for sample size  480 is:  0.00017584825555483499
preprocessing time for sampling: 0.06124687194824219
amortized time for sample size  490 is:  0.0001760623552361313
preprocessing time for sampling: 0.06402897834777832
amortized time for sample size  500 is:  0.00017592473506927492
beta =  0.6000000000000001 

mean of accuracies: [np.float64(0.8400000000000001), np.float64(0.8800000000000001), np.float64(0.89), np.float64(0.93), np.float64(0.96), np.float64(0.97), np.float64(0.96), np.float64(0.96), np.float64(0.99), np.float64(0.99), np.float64(1.0), np.float64(1.0), np.float64(0.99), np.float64(1.0), np.float64(1.0), np.float64(0.9800000000000001), np.float64(1.0), np.float64(0.99), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(0.99), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0)] 

variance of accuracies: [np.float64(0.12000000000000001), np.float64(0.09797958971132713), np.float64(0.09433981132056604), np.float64(0.07810249675906653), np.float64(0.06633249580710798), np.float64(0.04582575694955839), np.float64(0.04898979485566354), np.float64(0.04898979485566356), np.float64(0.029999999999999992), np.float64(0.029999999999999992), np.float64(0.0), np.float64(0.0), np.float64(0.029999999999999992), np.float64(0.0), np.float64(0.0), np.float64(0.039999999999999994), np.float64(0.0), np.float64(0.029999999999999992), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.029999999999999992), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0)] 

preprocessing time for sampling: 0.061105966567993164
amortized time for sample size  10 is:  0.00017610144615173344
preprocessing time for sampling: 0.06124591827392578
amortized time for sample size  20 is:  0.00017637968063354497
preprocessing time for sampling: 0.061428070068359375
amortized time for sample size  30 is:  0.0001763605276743571
preprocessing time for sampling: 0.061110734939575195
amortized time for sample size  40 is:  0.00017639976739883427
preprocessing time for sampling: 0.06139993667602539
amortized time for sample size  50 is:  0.00017588224411010735
preprocessing time for sampling: 0.0612637996673584
amortized time for sample size  60 is:  0.000174924890200297
preprocessing time for sampling: 0.06122326850891113
amortized time for sample size  70 is:  0.00017530400412423268
preprocessing time for sampling: 0.06113600730895996
amortized time for sample size  80 is:  0.00017707571387290955
preprocessing time for sampling: 0.06277680397033691
amortized time for sample size  90 is:  0.00017695662710401748
preprocessing time for sampling: 0.0611109733581543
amortized time for sample size  100 is:  0.00017519447803497317
preprocessing time for sampling: 0.06173110008239746
amortized time for sample size  110 is:  0.00017835036191073326
preprocessing time for sampling: 0.061120033264160156
amortized time for sample size  120 is:  0.0001788922746976217
preprocessing time for sampling: 0.061982154846191406
amortized time for sample size  130 is:  0.00017868544505192683
preprocessing time for sampling: 0.06124591827392578
amortized time for sample size  140 is:  0.00017555696623665945
preprocessing time for sampling: 0.06231188774108887
amortized time for sample size  150 is:  0.0001754589080810547
preprocessing time for sampling: 0.06127595901489258
amortized time for sample size  160 is:  0.00017540304362773893
preprocessing time for sampling: 0.06128716468811035
amortized time for sample size  170 is:  0.00017470345777623793
preprocessing time for sampling: 0.06124091148376465
amortized time for sample size  180 is:  0.00017540015114678276
preprocessing time for sampling: 0.06114315986633301
amortized time for sample size  190 is:  0.0001751742237492612
preprocessing time for sampling: 0.061270952224731445
amortized time for sample size  200 is:  0.00017586852312088014
preprocessing time for sampling: 0.061154842376708984
amortized time for sample size  210 is:  0.00017622689973740345
preprocessing time for sampling: 0.061187028884887695
amortized time for sample size  220 is:  0.00017526540972969754
preprocessing time for sampling: 0.06332278251647949
amortized time for sample size  230 is:  0.00017787543587062667
preprocessing time for sampling: 0.06114697456359863
amortized time for sample size  240 is:  0.00017630244294802346
preprocessing time for sampling: 0.061322927474975586
amortized time for sample size  250 is:  0.00017865376472473143
preprocessing time for sampling: 0.06226682662963867
amortized time for sample size  260 is:  0.00017989715246053849
preprocessing time for sampling: 0.06665611267089844
amortized time for sample size  270 is:  0.00017532688600045663
preprocessing time for sampling: 0.06121706962585449
amortized time for sample size  280 is:  0.00018054909365517753
preprocessing time for sampling: 0.06202292442321777
amortized time for sample size  290 is:  0.00017685920616676071
preprocessing time for sampling: 0.06129717826843262
amortized time for sample size  300 is:  0.00017608536084493
preprocessing time for sampling: 0.06311702728271484
amortized time for sample size  310 is:  0.00017568099883294875
preprocessing time for sampling: 0.06112790107727051
amortized time for sample size  320 is:  0.0001759340837597847
preprocessing time for sampling: 0.06112194061279297
amortized time for sample size  330 is:  0.00017485758030053343
preprocessing time for sampling: 0.061321258544921875
amortized time for sample size  340 is:  0.00017489518137539138
preprocessing time for sampling: 0.061263084411621094
amortized time for sample size  350 is:  0.0001748396396636963
preprocessing time for sampling: 0.061331987380981445
amortized time for sample size  360 is:  0.00017549342579311795
preprocessing time for sampling: 0.06111884117126465
amortized time for sample size  370 is:  0.00017546583510733937
preprocessing time for sampling: 0.06145024299621582
amortized time for sample size  380 is:  0.00017554692845595508
preprocessing time for sampling: 0.061350107192993164
amortized time for sample size  390 is:  0.00017542749184828535
preprocessing time for sampling: 0.06124281883239746
amortized time for sample size  400 is:  0.00017548859715461732
preprocessing time for sampling: 0.061118125915527344
amortized time for sample size  410 is:  0.00017573568879104243
preprocessing time for sampling: 0.06268501281738281
amortized time for sample size  420 is:  0.00017551910877227782
preprocessing time for sampling: 0.06132102012634277
amortized time for sample size  430 is:  0.0001752908839735874
preprocessing time for sampling: 0.06124520301818848
amortized time for sample size  440 is:  0.00017525104501030665
preprocessing time for sampling: 0.06121087074279785
amortized time for sample size  450 is:  0.00017537864049275718
preprocessing time for sampling: 0.06132197380065918
amortized time for sample size  460 is:  0.00017578183568042256
preprocessing time for sampling: 0.06149101257324219
amortized time for sample size  470 is:  0.0001775255304701785
preprocessing time for sampling: 0.06109213829040527
amortized time for sample size  480 is:  0.0001757298211256663
preprocessing time for sampling: 0.06133103370666504
amortized time for sample size  490 is:  0.00017654105108611435
preprocessing time for sampling: 0.0611572265625
amortized time for sample size  500 is:  0.00017558832168579103
beta =  0.7000000000000001 

mean of accuracies: [np.float64(0.8400000000000001), np.float64(0.9400000000000001), np.float64(0.95), np.float64(0.97), np.float64(1.0), np.float64(0.9800000000000001), np.float64(0.9800000000000001), np.float64(1.0), np.float64(0.99), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0)] 

variance of accuracies: [np.float64(0.11135528725660046), np.float64(0.10198039027185571), np.float64(0.06708203932499368), np.float64(0.06403124237432847), np.float64(0.0), np.float64(0.039999999999999994), np.float64(0.039999999999999994), np.float64(0.0), np.float64(0.029999999999999992), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0)] 

preprocessing time for sampling: 0.06216311454772949
amortized time for sample size  10 is:  0.00017584156990051273
preprocessing time for sampling: 0.06113409996032715
amortized time for sample size  20 is:  0.00017960226535797114
preprocessing time for sampling: 0.061154842376708984
amortized time for sample size  30 is:  0.000177168607711792
preprocessing time for sampling: 0.06289887428283691
amortized time for sample size  40 is:  0.00017552751302719115
preprocessing time for sampling: 0.06120491027832031
amortized time for sample size  50 is:  0.00017445087432861332
preprocessing time for sampling: 0.06209301948547363
amortized time for sample size  60 is:  0.00017602745691935225
preprocessing time for sampling: 0.06142282485961914
amortized time for sample size  70 is:  0.00017540196010044646
preprocessing time for sampling: 0.06148982048034668
amortized time for sample size  80 is:  0.00017564904689788816
preprocessing time for sampling: 0.061676740646362305
amortized time for sample size  90 is:  0.00017550767792595757
preprocessing time for sampling: 0.06137704849243164
amortized time for sample size  100 is:  0.0001757058143615723
preprocessing time for sampling: 0.06181502342224121
amortized time for sample size  110 is:  0.00017532511190934615
preprocessing time for sampling: 0.06143307685852051
amortized time for sample size  120 is:  0.00017535640796025596
preprocessing time for sampling: 0.06192922592163086
amortized time for sample size  130 is:  0.00017584079962510327
preprocessing time for sampling: 0.0615229606628418
amortized time for sample size  140 is:  0.00017742076941898888
preprocessing time for sampling: 0.06146502494812012
amortized time for sample size  150 is:  0.00017555824915568033
preprocessing time for sampling: 0.060845136642456055
amortized time for sample size  160 is:  0.0001758318394422531
preprocessing time for sampling: 0.06122398376464844
amortized time for sample size  170 is:  0.00017527355867273664
preprocessing time for sampling: 0.061228036880493164
amortized time for sample size  180 is:  0.0001755195988549127
preprocessing time for sampling: 0.06128716468811035
amortized time for sample size  190 is:  0.00017550444602966307
preprocessing time for sampling: 0.061216115951538086
amortized time for sample size  200 is:  0.0001760846138000488
preprocessing time for sampling: 0.06115078926086426
amortized time for sample size  210 is:  0.0001755849974496024
preprocessing time for sampling: 0.061331987380981445
amortized time for sample size  220 is:  0.00017605180090123963
preprocessing time for sampling: 0.06116914749145508
amortized time for sample size  230 is:  0.00017521488148233163
preprocessing time for sampling: 0.06157994270324707
amortized time for sample size  240 is:  0.00017501680056254072
preprocessing time for sampling: 0.06193804740905762
amortized time for sample size  250 is:  0.00017461598396301272
preprocessing time for sampling: 0.061491966247558594
amortized time for sample size  260 is:  0.0001744901216947115
preprocessing time for sampling: 0.06115984916687012
amortized time for sample size  270 is:  0.0001756464816905834
preprocessing time for sampling: 0.06124114990234375
amortized time for sample size  280 is:  0.00017483607360294887
preprocessing time for sampling: 0.0614018440246582
amortized time for sample size  290 is:  0.00017562745357381886
preprocessing time for sampling: 0.06151866912841797
amortized time for sample size  300 is:  0.00017473501364390054
preprocessing time for sampling: 0.06180095672607422
amortized time for sample size  310 is:  0.00017510993249954715
preprocessing time for sampling: 0.06448197364807129
amortized time for sample size  320 is:  0.00017522479593753813
preprocessing time for sampling: 0.062270164489746094
amortized time for sample size  330 is:  0.0001750041571530429
preprocessing time for sampling: 0.06000208854675293
amortized time for sample size  340 is:  0.00017546981923720415
preprocessing time for sampling: 0.061163902282714844
amortized time for sample size  350 is:  0.00017483928544180735
preprocessing time for sampling: 0.061074256896972656
amortized time for sample size  360 is:  0.0001757162941826714
preprocessing time for sampling: 0.06109166145324707
amortized time for sample size  370 is:  0.00017837159698073934
preprocessing time for sampling: 0.06271624565124512
amortized time for sample size  380 is:  0.00017631637422662032
preprocessing time for sampling: 0.06142306327819824
amortized time for sample size  390 is:  0.0001755295472267346
preprocessing time for sampling: 0.0613710880279541
amortized time for sample size  400 is:  0.00017495489120483398
preprocessing time for sampling: 0.060996055603027344
amortized time for sample size  410 is:  0.00017500834348725105
preprocessing time for sampling: 0.061157941818237305
amortized time for sample size  420 is:  0.00017506887231554303
preprocessing time for sampling: 0.06136012077331543
amortized time for sample size  430 is:  0.00017515154772026597
preprocessing time for sampling: 0.06833815574645996
amortized time for sample size  440 is:  0.00017591466145081957
preprocessing time for sampling: 0.06094002723693848
amortized time for sample size  450 is:  0.00017501167721218537
preprocessing time for sampling: 0.06141185760498047
amortized time for sample size  460 is:  0.0001759394459102465
preprocessing time for sampling: 0.06248784065246582
amortized time for sample size  470 is:  0.00018363203393652084
preprocessing time for sampling: 0.061331987380981445
amortized time for sample size  480 is:  0.00017596982419490815
preprocessing time for sampling: 0.06115388870239258
amortized time for sample size  490 is:  0.0001761623499344806
preprocessing time for sampling: 0.06162214279174805
amortized time for sample size  500 is:  0.00017669453144073487
beta =  0.8 

mean of accuracies: [np.float64(0.95), np.float64(0.99), np.float64(0.9800000000000001), np.float64(0.97), np.float64(0.9800000000000001), np.float64(1.0), np.float64(0.99), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0)] 

variance of accuracies: [np.float64(0.08062257748298547), np.float64(0.029999999999999992), np.float64(0.05999999999999999), np.float64(0.04582575694955839), np.float64(0.039999999999999994), np.float64(0.0), np.float64(0.029999999999999992), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0)] 

preprocessing time for sampling: 0.06152033805847168
amortized time for sample size  10 is:  0.00017661952972412108
preprocessing time for sampling: 0.06168198585510254
amortized time for sample size  20 is:  0.00017550504207611086
preprocessing time for sampling: 0.06111621856689453
amortized time for sample size  30 is:  0.00017572736740112304
preprocessing time for sampling: 0.06122016906738281
amortized time for sample size  40 is:  0.00017733174562454223
preprocessing time for sampling: 0.06156015396118164
amortized time for sample size  50 is:  0.00017596588134765625
preprocessing time for sampling: 0.06144404411315918
amortized time for sample size  60 is:  0.00017545517285664876
preprocessing time for sampling: 0.06099104881286621
amortized time for sample size  70 is:  0.00017515185901096885
preprocessing time for sampling: 0.06100296974182129
amortized time for sample size  80 is:  0.0001769639551639557
preprocessing time for sampling: 0.060916900634765625
amortized time for sample size  90 is:  0.00017522348297966845
preprocessing time for sampling: 0.06095004081726074
amortized time for sample size  100 is:  0.00017581665515899655
preprocessing time for sampling: 0.06154608726501465
amortized time for sample size  110 is:  0.00017649318955161353
preprocessing time for sampling: 0.06096696853637695
amortized time for sample size  120 is:  0.0001749115784962972
preprocessing time for sampling: 0.06073713302612305
amortized time for sample size  130 is:  0.00017527725146366995
preprocessing time for sampling: 0.07401299476623535
amortized time for sample size  140 is:  0.00017646844046456472
preprocessing time for sampling: 0.06156802177429199
amortized time for sample size  150 is:  0.00017610921859741207
preprocessing time for sampling: 0.06236600875854492
amortized time for sample size  160 is:  0.00017558522522449497
preprocessing time for sampling: 0.06120491027832031
amortized time for sample size  170 is:  0.00017551349191104667
preprocessing time for sampling: 0.0615382194519043
amortized time for sample size  180 is:  0.00017621670828925243
preprocessing time for sampling: 0.0614469051361084
amortized time for sample size  190 is:  0.000176327153256065
preprocessing time for sampling: 0.06107473373413086
amortized time for sample size  200 is:  0.00017835829257965084
preprocessing time for sampling: 0.06260800361633301
amortized time for sample size  210 is:  0.00017620252427600684
preprocessing time for sampling: 0.06119894981384277
amortized time for sample size  220 is:  0.0001764103282581676
preprocessing time for sampling: 0.06134295463562012
amortized time for sample size  230 is:  0.0001771280039911685
preprocessing time for sampling: 0.06156492233276367
amortized time for sample size  240 is:  0.00018034558494885766
preprocessing time for sampling: 0.061730146408081055
amortized time for sample size  250 is:  0.0001765297794342041
preprocessing time for sampling: 0.06250286102294922
amortized time for sample size  260 is:  0.0001768464675316444
preprocessing time for sampling: 0.06155085563659668
amortized time for sample size  270 is:  0.00017559822400410968
preprocessing time for sampling: 0.06120109558105469
amortized time for sample size  280 is:  0.0001752809115818569
preprocessing time for sampling: 0.06122708320617676
amortized time for sample size  290 is:  0.0001759716477887384
preprocessing time for sampling: 0.06113696098327637
amortized time for sample size  300 is:  0.0001762410799662272
preprocessing time for sampling: 0.06119799613952637
amortized time for sample size  310 is:  0.0001754250526428222
preprocessing time for sampling: 0.06122398376464844
amortized time for sample size  320 is:  0.00017576695978641514
preprocessing time for sampling: 0.06141090393066406
amortized time for sample size  330 is:  0.0001756795897628322
preprocessing time for sampling: 0.061402082443237305
amortized time for sample size  340 is:  0.00017799044356626629
preprocessing time for sampling: 0.06119704246520996
amortized time for sample size  350 is:  0.00017585351807730538
preprocessing time for sampling: 0.06131482124328613
amortized time for sample size  360 is:  0.00018153882688946193
preprocessing time for sampling: 0.06828594207763672
amortized time for sample size  370 is:  0.00018197594462214292
preprocessing time for sampling: 0.061682939529418945
amortized time for sample size  380 is:  0.00017785365957962842
preprocessing time for sampling: 0.062226057052612305
amortized time for sample size  390 is:  0.00017563401735745942
preprocessing time for sampling: 0.0612332820892334
amortized time for sample size  400 is:  0.00017706980705261234
preprocessing time for sampling: 0.06264805793762207
amortized time for sample size  410 is:  0.00018022628528315847
preprocessing time for sampling: 0.0611577033996582
amortized time for sample size  420 is:  0.0001757248242696126
preprocessing time for sampling: 0.06141519546508789
amortized time for sample size  430 is:  0.00017783314128254742
preprocessing time for sampling: 0.0613408088684082
amortized time for sample size  440 is:  0.00017614890228618275
preprocessing time for sampling: 0.06259894371032715
amortized time for sample size  450 is:  0.00017593152258131242
preprocessing time for sampling: 0.061575889587402344
amortized time for sample size  460 is:  0.00017555104649585228
preprocessing time for sampling: 0.06123971939086914
amortized time for sample size  470 is:  0.00017577308289548185
preprocessing time for sampling: 0.061280012130737305
amortized time for sample size  480 is:  0.00017504228651523592
preprocessing time for sampling: 0.06120896339416504
amortized time for sample size  490 is:  0.0001750148072534678
preprocessing time for sampling: 0.061353206634521484
amortized time for sample size  500 is:  0.0001751759433746338
beta =  0.9 

mean of accuracies: [np.float64(0.95), np.float64(0.96), np.float64(0.99), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0)] 

variance of accuracies: [np.float64(0.04999999999999999), np.float64(0.06633249580710798), np.float64(0.029999999999999992), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0)] 

preprocessing time for sampling: 0.06020188331604004
amortized time for sample size  10 is:  0.00017507910728454593
preprocessing time for sampling: 0.061068058013916016
amortized time for sample size  20 is:  0.00017576289176940915
preprocessing time for sampling: 0.06110405921936035
amortized time for sample size  30 is:  0.00017414275805155435
preprocessing time for sampling: 0.06127119064331055
amortized time for sample size  40 is:  0.0001738203763961792
preprocessing time for sampling: 0.061266183853149414
amortized time for sample size  50 is:  0.00017400922775268553
preprocessing time for sampling: 0.06126976013183594
amortized time for sample size  60 is:  0.00017573269208272298
preprocessing time for sampling: 0.061311960220336914
amortized time for sample size  70 is:  0.00017503717967442105
preprocessing time for sampling: 0.060968875885009766
amortized time for sample size  80 is:  0.0001749701499938965
preprocessing time for sampling: 0.06128191947937012
amortized time for sample size  90 is:  0.00017469355795118543
preprocessing time for sampling: 0.061120033264160156
amortized time for sample size  100 is:  0.00017528841495513916
preprocessing time for sampling: 0.061266183853149414
amortized time for sample size  110 is:  0.00017484966191378507
preprocessing time for sampling: 0.06071186065673828
amortized time for sample size  120 is:  0.0001743841767311096
preprocessing time for sampling: 0.059677839279174805
amortized time for sample size  130 is:  0.0001743310965024508
preprocessing time for sampling: 0.061338186264038086
amortized time for sample size  140 is:  0.00017572142396654405
preprocessing time for sampling: 0.060312747955322266
amortized time for sample size  150 is:  0.0001751110076904297
preprocessing time for sampling: 0.06142997741699219
amortized time for sample size  160 is:  0.00017539057135581968
preprocessing time for sampling: 0.06132674217224121
amortized time for sample size  170 is:  0.00017542122392093435
preprocessing time for sampling: 0.06114673614501953
amortized time for sample size  180 is:  0.00017466819286346435
preprocessing time for sampling: 0.061181068420410156
amortized time for sample size  190 is:  0.00017505828957808646
preprocessing time for sampling: 0.06116676330566406
amortized time for sample size  200 is:  0.00017519989013671877
preprocessing time for sampling: 0.06124520301818848
amortized time for sample size  210 is:  0.00017487609954107379
preprocessing time for sampling: 0.06003594398498535
amortized time for sample size  220 is:  0.00017443254860964691
preprocessing time for sampling: 0.06145000457763672
amortized time for sample size  230 is:  0.00017471751959427542
preprocessing time for sampling: 0.06027388572692871
amortized time for sample size  240 is:  0.00017484504977862043
preprocessing time for sampling: 0.06010103225708008
amortized time for sample size  250 is:  0.00017423707008361818
preprocessing time for sampling: 0.061300039291381836
amortized time for sample size  260 is:  0.00017419632581564096
preprocessing time for sampling: 0.06110405921936035
amortized time for sample size  270 is:  0.000174236121001067
preprocessing time for sampling: 0.061521053314208984
amortized time for sample size  280 is:  0.00017483454942703248
preprocessing time for sampling: 0.06028914451599121
amortized time for sample size  290 is:  0.0001738696920460668
preprocessing time for sampling: 0.06020617485046387
amortized time for sample size  300 is:  0.00017400090694427492
preprocessing time for sampling: 0.06146693229675293
amortized time for sample size  310 is:  0.0001736341676404399
preprocessing time for sampling: 0.06035876274108887
amortized time for sample size  320 is:  0.00017487916350364684
preprocessing time for sampling: 0.06130623817443848
amortized time for sample size  330 is:  0.00017434321027813535
preprocessing time for sampling: 0.06142997741699219
amortized time for sample size  340 is:  0.000173944494303535
preprocessing time for sampling: 0.06237006187438965
amortized time for sample size  350 is:  0.00017500012942722864
preprocessing time for sampling: 0.06098198890686035
amortized time for sample size  360 is:  0.0001750807364781698
preprocessing time for sampling: 0.061135053634643555
amortized time for sample size  370 is:  0.0001752693846419051
preprocessing time for sampling: 0.06122994422912598
amortized time for sample size  380 is:  0.00017466952926234198
preprocessing time for sampling: 0.061479806900024414
amortized time for sample size  390 is:  0.00017503065329331618
preprocessing time for sampling: 0.06138801574707031
amortized time for sample size  400 is:  0.00017540786862373352
preprocessing time for sampling: 0.06129002571105957
amortized time for sample size  410 is:  0.0001760734406913199
preprocessing time for sampling: 0.061170101165771484
amortized time for sample size  420 is:  0.00017556246121724445
preprocessing time for sampling: 0.061408042907714844
amortized time for sample size  430 is:  0.00017627471546794091
preprocessing time for sampling: 0.061131954193115234
amortized time for sample size  440 is:  0.0001751382567665794
preprocessing time for sampling: 0.06131482124328613
amortized time for sample size  450 is:  0.00017652431594000921
preprocessing time for sampling: 0.06108283996582031
amortized time for sample size  460 is:  0.00017695240352464764
preprocessing time for sampling: 0.060906171798706055
amortized time for sample size  470 is:  0.000182766650585418
preprocessing time for sampling: 0.06250500679016113
amortized time for sample size  480 is:  0.00017732120553652444
preprocessing time for sampling: 0.061318159103393555
amortized time for sample size  490 is:  0.000176242006068327
preprocessing time for sampling: 0.06159520149230957
amortized time for sample size  500 is:  0.00017691950798034663
beta =  1.0 

mean of accuracies: [np.float64(0.97), np.float64(0.9700000000000001), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0)] 

variance of accuracies: [np.float64(0.045825756949558386), np.float64(0.04582575694955839), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0)] 

preprocessing time for sampling: 0.06179189682006836
amortized time for sample size  10 is:  0.00017715907096862798
preprocessing time for sampling: 0.06163311004638672
amortized time for sample size  20 is:  0.000175473690032959
preprocessing time for sampling: 0.06125283241271973
amortized time for sample size  30 is:  0.00017565178871154787
preprocessing time for sampling: 0.0615382194519043
amortized time for sample size  40 is:  0.00017506819963455198
preprocessing time for sampling: 0.061187744140625
amortized time for sample size  50 is:  0.0001765148639678955
preprocessing time for sampling: 0.06218910217285156
amortized time for sample size  60 is:  0.0001765746275583903
preprocessing time for sampling: 0.06169486045837402
amortized time for sample size  70 is:  0.00017636806624276292
preprocessing time for sampling: 0.06146597862243652
amortized time for sample size  80 is:  0.00017606073617935182
preprocessing time for sampling: 0.06141328811645508
amortized time for sample size  90 is:  0.00017565438482496472
preprocessing time for sampling: 0.06167793273925781
amortized time for sample size  100 is:  0.00017507805824279785
preprocessing time for sampling: 0.06133103370666504
amortized time for sample size  110 is:  0.00017494427074085577
preprocessing time for sampling: 0.06105327606201172
amortized time for sample size  120 is:  0.000175252636273702
preprocessing time for sampling: 0.06218600273132324
amortized time for sample size  130 is:  0.00017530092826256383
preprocessing time for sampling: 0.06139111518859863
amortized time for sample size  140 is:  0.00017622011048453197
preprocessing time for sampling: 0.06128501892089844
amortized time for sample size  150 is:  0.0001760081132253011
preprocessing time for sampling: 0.06126689910888672
amortized time for sample size  160 is:  0.00017528921365737914
preprocessing time for sampling: 0.061187028884887695
amortized time for sample size  170 is:  0.00017577559807721308
preprocessing time for sampling: 0.06128215789794922
amortized time for sample size  180 is:  0.00017578503820631243
preprocessing time for sampling: 0.061444997787475586
amortized time for sample size  190 is:  0.00017585702946311548
preprocessing time for sampling: 0.06272006034851074
amortized time for sample size  200 is:  0.00018433222770690915
preprocessing time for sampling: 0.06184697151184082
amortized time for sample size  210 is:  0.00017880404563177198
preprocessing time for sampling: 0.06219792366027832
amortized time for sample size  220 is:  0.00018132805824279784
preprocessing time for sampling: 0.06127595901489258
amortized time for sample size  230 is:  0.00017597671177076255
preprocessing time for sampling: 0.06180524826049805
amortized time for sample size  240 is:  0.0001762453516324361
preprocessing time for sampling: 0.0616612434387207
amortized time for sample size  250 is:  0.0001772414207458496
preprocessing time for sampling: 0.06253409385681152
amortized time for sample size  260 is:  0.00017986011505126954
preprocessing time for sampling: 0.06133294105529785
amortized time for sample size  270 is:  0.00017546787085356535
preprocessing time for sampling: 0.061577796936035156
amortized time for sample size  280 is:  0.0001761263864380973
preprocessing time for sampling: 0.061399221420288086
amortized time for sample size  290 is:  0.00018019174707346945
preprocessing time for sampling: 0.06131601333618164
amortized time for sample size  300 is:  0.00017590653896331788
preprocessing time for sampling: 0.06112790107727051
amortized time for sample size  310 is:  0.00017606218399540067
preprocessing time for sampling: 0.061274051666259766
amortized time for sample size  320 is:  0.00017802985757589345
preprocessing time for sampling: 0.061456918716430664
amortized time for sample size  330 is:  0.00017807900544368862
preprocessing time for sampling: 0.06198573112487793
amortized time for sample size  340 is:  0.00018174867069019996
preprocessing time for sampling: 0.06368088722229004
amortized time for sample size  350 is:  0.0001764666761670794
preprocessing time for sampling: 0.06149792671203613
amortized time for sample size  360 is:  0.00017559757497575548
preprocessing time for sampling: 0.06125378608703613
amortized time for sample size  370 is:  0.00017599454441586052
preprocessing time for sampling: 0.06136918067932129
amortized time for sample size  380 is:  0.00017602205276489262
preprocessing time for sampling: 0.0616602897644043
amortized time for sample size  390 is:  0.00017584408857883552
preprocessing time for sampling: 0.06080317497253418
amortized time for sample size  400 is:  0.00017612655162811276
preprocessing time for sampling: 0.061398983001708984
amortized time for sample size  410 is:  0.00017523256743826523
preprocessing time for sampling: 0.06700396537780762
amortized time for sample size  420 is:  0.00017525926090422128
preprocessing time for sampling: 0.061393022537231445
amortized time for sample size  430 is:  0.000175719793452773
preprocessing time for sampling: 0.06120896339416504
amortized time for sample size  440 is:  0.00017606654492291536
preprocessing time for sampling: 0.061868906021118164
amortized time for sample size  450 is:  0.00017696763144599062
preprocessing time for sampling: 0.06145930290222168
amortized time for sample size  460 is:  0.00017531493954036547
preprocessing time for sampling: 0.06116676330566406
amortized time for sample size  470 is:  0.00017518843995763898
preprocessing time for sampling: 0.06123495101928711
amortized time for sample size  480 is:  0.0001752094030380249
preprocessing time for sampling: 0.0612187385559082
amortized time for sample size  490 is:  0.00017520497769725563
preprocessing time for sampling: 0.061280012130737305
amortized time for sample size  500 is:  0.00017716480255126953
beta =  1.1 

mean of accuracies: [np.float64(0.9800000000000001), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0)] 

variance of accuracies: [np.float64(0.039999999999999994), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0)] 

preprocessing time for sampling: 0.06095314025878906
amortized time for sample size  10 is:  0.0001762394905090332
preprocessing time for sampling: 0.06123185157775879
amortized time for sample size  20 is:  0.000174814224243164
preprocessing time for sampling: 0.061714887619018555
amortized time for sample size  30 is:  0.000174699862798055
preprocessing time for sampling: 0.06123709678649902
amortized time for sample size  40 is:  0.00017538565397262572
preprocessing time for sampling: 0.061860084533691406
amortized time for sample size  50 is:  0.0001752955436706543
preprocessing time for sampling: 0.06136012077331543
amortized time for sample size  60 is:  0.00017795189221700026
preprocessing time for sampling: 0.06254220008850098
amortized time for sample size  70 is:  0.00019798363958086287
preprocessing time for sampling: 0.07394790649414062
amortized time for sample size  80 is:  0.0001861005127429962
preprocessing time for sampling: 0.06363892555236816
amortized time for sample size  90 is:  0.0001785225603315565
preprocessing time for sampling: 0.06125521659851074
amortized time for sample size  100 is:  0.00017518627643585207
preprocessing time for sampling: 0.0613861083984375
amortized time for sample size  110 is:  0.00017453624985434792
preprocessing time for sampling: 0.06214618682861328
amortized time for sample size  120 is:  0.0001826238036155701
preprocessing time for sampling: 0.06883883476257324
amortized time for sample size  130 is:  0.00018921454136188213
preprocessing time for sampling: 0.061224937438964844
amortized time for sample size  140 is:  0.0001821333680834089
preprocessing time for sampling: 0.0718221664428711
amortized time for sample size  150 is:  0.00018087409337361654
preprocessing time for sampling: 0.061280012130737305
amortized time for sample size  160 is:  0.00017437002062797546
preprocessing time for sampling: 0.0609591007232666
amortized time for sample size  170 is:  0.00017452298893648035
preprocessing time for sampling: 0.060874223709106445
amortized time for sample size  180 is:  0.00017428672313690187
preprocessing time for sampling: 0.06202220916748047
amortized time for sample size  190 is:  0.00017471211834957725
preprocessing time for sampling: 0.060388803482055664
amortized time for sample size  200 is:  0.00017593623399734496
preprocessing time for sampling: 0.06268596649169922
amortized time for sample size  210 is:  0.0001776035740261986
preprocessing time for sampling: 0.06306791305541992
amortized time for sample size  220 is:  0.00017532266270030628
preprocessing time for sampling: 0.06121492385864258
amortized time for sample size  230 is:  0.00017558653458305023
preprocessing time for sampling: 0.06105208396911621
amortized time for sample size  240 is:  0.00017737560470898947
preprocessing time for sampling: 0.06067490577697754
amortized time for sample size  250 is:  0.00017675167083740237
preprocessing time for sampling: 0.06140422821044922
amortized time for sample size  260 is:  0.00017829619004176213
preprocessing time for sampling: 0.06157064437866211
amortized time for sample size  270 is:  0.00017532683301855017
preprocessing time for sampling: 0.061299800872802734
amortized time for sample size  280 is:  0.00017560111624853952
preprocessing time for sampling: 0.06119680404663086
amortized time for sample size  290 is:  0.0001759475017416066
preprocessing time for sampling: 0.061508893966674805
amortized time for sample size  300 is:  0.0001760381857554118
preprocessing time for sampling: 0.06168174743652344
amortized time for sample size  310 is:  0.0001766208371808452
preprocessing time for sampling: 0.06137490272521973
amortized time for sample size  320 is:  0.00017717744410037994
preprocessing time for sampling: 0.06093406677246094
amortized time for sample size  330 is:  0.00017745303385185472
preprocessing time for sampling: 0.06123495101928711
amortized time for sample size  340 is:  0.00017598499270046457
preprocessing time for sampling: 0.06125998497009277
amortized time for sample size  350 is:  0.0001773437976837158
preprocessing time for sampling: 0.06099820137023926
amortized time for sample size  360 is:  0.000176834676000807
preprocessing time for sampling: 0.06109118461608887
amortized time for sample size  370 is:  0.00017586638476397545
preprocessing time for sampling: 0.06115412712097168
amortized time for sample size  380 is:  0.000175043080982409
preprocessing time for sampling: 0.06109905242919922
amortized time for sample size  390 is:  0.00017571227978437374
preprocessing time for sampling: 0.06666183471679688
amortized time for sample size  400 is:  0.00017586549520492555
preprocessing time for sampling: 0.06113624572753906
amortized time for sample size  410 is:  0.0001756735778436428
preprocessing time for sampling: 0.06116604804992676
amortized time for sample size  420 is:  0.00017548855145772303
preprocessing time for sampling: 0.061743974685668945
amortized time for sample size  430 is:  0.00017548085922418637
preprocessing time for sampling: 0.06125903129577637
amortized time for sample size  440 is:  0.00017513814297589382
preprocessing time for sampling: 0.0612640380859375
amortized time for sample size  450 is:  0.00017569119135538733
preprocessing time for sampling: 0.061106204986572266
amortized time for sample size  460 is:  0.00017577099800109865
preprocessing time for sampling: 0.06159210205078125
amortized time for sample size  470 is:  0.0001758852461551098
preprocessing time for sampling: 0.06154823303222656
amortized time for sample size  480 is:  0.00017569827040036522
preprocessing time for sampling: 0.06136894226074219
amortized time for sample size  490 is:  0.00017602851926064002
preprocessing time for sampling: 0.061161041259765625
amortized time for sample size  500 is:  0.0001758032274246216
beta =  1.2000000000000002 

mean of accuracies: [np.float64(0.96), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0)] 

variance of accuracies: [np.float64(0.06633249580710798), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0)] 

