preprocessing time for sampling: 1.4660649299621582
amortized time for sample size  10 is:  0.0008208341598510743
preprocessing time for sampling: 1.48366379737854
amortized time for sample size  20 is:  0.000848507523536682
preprocessing time for sampling: 1.5106239318847656
amortized time for sample size  30 is:  0.0008327310880025227
preprocessing time for sampling: 1.4532110691070557
amortized time for sample size  40 is:  0.0008133693337440492
preprocessing time for sampling: 1.4664592742919922
amortized time for sample size  50 is:  0.0008208712100982664
preprocessing time for sampling: 1.46785306930542
amortized time for sample size  60 is:  0.000817338228225708
preprocessing time for sampling: 1.4512431621551514
amortized time for sample size  70 is:  0.0007947922093527658
preprocessing time for sampling: 1.4538302421569824
amortized time for sample size  80 is:  0.0008079867660999298
preprocessing time for sampling: 1.4542100429534912
amortized time for sample size  90 is:  0.0008014338016510008
preprocessing time for sampling: 1.4830079078674316
amortized time for sample size  100 is:  0.0008078872442245484
preprocessing time for sampling: 1.5042569637298584
amortized time for sample size  110 is:  0.0008094871044158937
preprocessing time for sampling: 1.4717087745666504
amortized time for sample size  120 is:  0.0008437425494194032
preprocessing time for sampling: 1.5264451503753662
amortized time for sample size  130 is:  0.0008301216822404127
preprocessing time for sampling: 1.4659030437469482
amortized time for sample size  140 is:  0.0008210031305040632
preprocessing time for sampling: 1.4596149921417236
amortized time for sample size  150 is:  0.0008177159627278644
preprocessing time for sampling: 1.451683759689331
amortized time for sample size  160 is:  0.0008159983605146408
preprocessing time for sampling: 1.4650332927703857
amortized time for sample size  170 is:  0.0008162639561821431
preprocessing time for sampling: 1.452355146408081
amortized time for sample size  180 is:  0.0008179374535878499
preprocessing time for sampling: 1.4569878578186035
amortized time for sample size  190 is:  0.0008208459678449129
preprocessing time for sampling: 1.4534282684326172
amortized time for sample size  200 is:  0.0008182384848594665
preprocessing time for sampling: 1.4547741413116455
amortized time for sample size  210 is:  0.0008233069805871873
preprocessing time for sampling: 1.4949009418487549
amortized time for sample size  220 is:  0.0008193575035442005
preprocessing time for sampling: 1.4612200260162354
amortized time for sample size  230 is:  0.0008246500906736953
preprocessing time for sampling: 1.4526219367980957
amortized time for sample size  240 is:  0.0008170174062252045
preprocessing time for sampling: 1.4583840370178223
amortized time for sample size  250 is:  0.0008459312438964844
preprocessing time for sampling: 1.5026118755340576
amortized time for sample size  260 is:  0.0008515089291792651
preprocessing time for sampling: 1.4730429649353027
amortized time for sample size  270 is:  0.0008395713082066287
preprocessing time for sampling: 1.5028197765350342
amortized time for sample size  280 is:  0.0008347920009068082
preprocessing time for sampling: 1.4798738956451416
amortized time for sample size  290 is:  0.0008435212743693385
preprocessing time for sampling: 1.4789822101593018
amortized time for sample size  300 is:  0.0008310207684834799
preprocessing time for sampling: 1.4842052459716797
amortized time for sample size  310 is:  0.0008414040303999379
preprocessing time for sampling: 1.4776279926300049
amortized time for sample size  320 is:  0.0008474329560995103
preprocessing time for sampling: 1.4859061241149902
amortized time for sample size  330 is:  0.0008509130188913056
preprocessing time for sampling: 1.4926881790161133
amortized time for sample size  340 is:  0.0008591362308053409
preprocessing time for sampling: 1.498305082321167
amortized time for sample size  350 is:  0.0008374723502567836
preprocessing time for sampling: 1.481628179550171
amortized time for sample size  360 is:  0.0008307430942853292
preprocessing time for sampling: 1.4815118312835693
amortized time for sample size  370 is:  0.0008299625499828444
preprocessing time for sampling: 1.4807260036468506
amortized time for sample size  380 is:  0.0008294319667314227
preprocessing time for sampling: 1.4901340007781982
amortized time for sample size  390 is:  0.0008390726615221072
preprocessing time for sampling: 1.4814589023590088
amortized time for sample size  400 is:  0.0008472868263721464
preprocessing time for sampling: 1.4814519882202148
amortized time for sample size  410 is:  0.0008318047872403772
preprocessing time for sampling: 1.4863831996917725
amortized time for sample size  420 is:  0.0008433965217499506
preprocessing time for sampling: 1.476942777633667
amortized time for sample size  430 is:  0.0008388145136278728
preprocessing time for sampling: 1.4836349487304688
amortized time for sample size  440 is:  0.0008433286059986461
preprocessing time for sampling: 1.530730962753296
amortized time for sample size  450 is:  0.0008437395254770916
preprocessing time for sampling: 1.488048791885376
amortized time for sample size  460 is:  0.0008399174887201058
preprocessing time for sampling: 1.4789109230041504
amortized time for sample size  470 is:  0.0008397728991001209
preprocessing time for sampling: 1.496028184890747
amortized time for sample size  480 is:  0.0008359778771797817
preprocessing time for sampling: 1.4802041053771973
amortized time for sample size  490 is:  0.0008391996159845469
preprocessing time for sampling: 1.489020824432373
amortized time for sample size  500 is:  0.0008310616254806519
beta =  0.2 

mean of accuracies: [np.float64(0.43), np.float64(0.48), np.float64(0.53), np.float64(0.6499999999999999), np.float64(0.67), np.float64(0.6599999999999999), np.float64(0.6299999999999999), np.float64(0.65), np.float64(0.77), np.float64(0.6900000000000001), np.float64(0.71), np.float64(0.64), np.float64(0.71), np.float64(0.69), np.float64(0.69), np.float64(0.74), np.float64(0.71), np.float64(0.8), np.float64(0.6599999999999999), np.float64(0.8400000000000001), np.float64(0.79), np.float64(0.77), np.float64(0.7999999999999999), np.float64(0.8200000000000001), np.float64(0.8200000000000001), np.float64(0.78), np.float64(0.74), np.float64(0.7700000000000001), np.float64(0.77), np.float64(0.7300000000000001), np.float64(0.7899999999999999), np.float64(0.8200000000000001), np.float64(0.7899999999999999), np.float64(0.8100000000000002), np.float64(0.8600000000000001), np.float64(0.8699999999999999), np.float64(0.78), np.float64(0.85), np.float64(0.86), np.float64(0.8700000000000001), np.float64(0.79), np.float64(0.77), np.float64(0.9), np.float64(0.77), np.float64(0.78), np.float64(0.7699999999999999), np.float64(0.8700000000000001), np.float64(0.9099999999999999), np.float64(0.8200000000000001), np.float64(0.8300000000000001)] 

variance of accuracies: [np.float64(0.2193171219946131), np.float64(0.1661324772583615), np.float64(0.20518284528683192), np.float64(0.1284523257866513), np.float64(0.1676305461424021), np.float64(0.11135528725660045), np.float64(0.1004987562112089), np.float64(0.20124611797498107), np.float64(0.11000000000000003), np.float64(0.13), np.float64(0.13747727084867523), np.float64(0.12806248474865697), np.float64(0.18138357147217055), np.float64(0.09433981132056606), np.float64(0.08306623862918078), np.float64(0.12000000000000002), np.float64(0.1135781669160055), np.float64(0.0894427190999916), np.float64(0.09165151389911681), np.float64(0.10198039027185571), np.float64(0.053851648071345064), np.float64(0.09000000000000002), np.float64(0.11832159566199232), np.float64(0.1077032961426901), np.float64(0.09797958971132711), np.float64(0.15362291495737218), np.float64(0.06633249580710804), np.float64(0.12688577540449522), np.float64(0.17916472867168917), np.float64(0.15524174696260024), np.float64(0.16401219466856726), np.float64(0.132664991614216), np.float64(0.13), np.float64(0.09433981132056606), np.float64(0.0916515138991168), np.float64(0.1345362404707371), np.float64(0.09797958971132716), np.float64(0.09219544457292887), np.float64(0.08), np.float64(0.11), np.float64(0.07000000000000003), np.float64(0.13453624047073712), np.float64(0.07745966692414835), np.float64(0.12688577540449522), np.float64(0.0871779788708135), np.float64(0.09000000000000002), np.float64(0.06403124237432847), np.float64(0.05385164807134503), np.float64(0.1077032961426901), np.float64(0.1004987562112089)] 

preprocessing time for sampling: 1.4948410987854004
amortized time for sample size  10 is:  0.0008244180679321289
preprocessing time for sampling: 1.4872612953186035
amortized time for sample size  20 is:  0.0008079248666763305
preprocessing time for sampling: 1.4952137470245361
amortized time for sample size  30 is:  0.0008060929775238034
preprocessing time for sampling: 1.476623773574829
amortized time for sample size  40 is:  0.000828561007976532
preprocessing time for sampling: 1.4860000610351562
amortized time for sample size  50 is:  0.0008202112674713136
preprocessing time for sampling: 1.4944236278533936
amortized time for sample size  60 is:  0.0008070675929387409
preprocessing time for sampling: 1.4891011714935303
amortized time for sample size  70 is:  0.0008071787357330322
preprocessing time for sampling: 1.4796223640441895
amortized time for sample size  80 is:  0.0008043332397937776
preprocessing time for sampling: 1.4836549758911133
amortized time for sample size  90 is:  0.0008211682902442083
preprocessing time for sampling: 1.4784481525421143
amortized time for sample size  100 is:  0.000832382869720459
preprocessing time for sampling: 1.4852759838104248
amortized time for sample size  110 is:  0.0008239599791440099
preprocessing time for sampling: 1.4948952198028564
amortized time for sample size  120 is:  0.0008388989965120951
preprocessing time for sampling: 1.4792020320892334
amortized time for sample size  130 is:  0.0008391724916604849
preprocessing time for sampling: 1.4817218780517578
amortized time for sample size  140 is:  0.0008401483808244979
preprocessing time for sampling: 1.4752452373504639
amortized time for sample size  150 is:  0.0008372553189595538
preprocessing time for sampling: 1.4845631122589111
amortized time for sample size  160 is:  0.00083509224653244
preprocessing time for sampling: 1.4858040809631348
amortized time for sample size  170 is:  0.0008356166867648855
preprocessing time for sampling: 1.5118248462677002
amortized time for sample size  180 is:  0.0008297984864976672
preprocessing time for sampling: 1.4830636978149414
amortized time for sample size  190 is:  0.0008301181793212889
preprocessing time for sampling: 1.4811689853668213
amortized time for sample size  200 is:  0.0008321319103240969
preprocessing time for sampling: 1.4773638248443604
amortized time for sample size  210 is:  0.0008360825266156878
preprocessing time for sampling: 1.4821419715881348
amortized time for sample size  220 is:  0.0008356189727783203
preprocessing time for sampling: 1.4819989204406738
amortized time for sample size  230 is:  0.0008336691338083018
preprocessing time for sampling: 1.4565198421478271
amortized time for sample size  240 is:  0.0008360464771588646
preprocessing time for sampling: 1.4779846668243408
amortized time for sample size  250 is:  0.0008316383171081543
preprocessing time for sampling: 1.4818980693817139
amortized time for sample size  260 is:  0.0008286273296062763
preprocessing time for sampling: 1.478337049484253
amortized time for sample size  270 is:  0.000836204184426202
preprocessing time for sampling: 1.47993803024292
amortized time for sample size  280 is:  0.0008380002123968941
preprocessing time for sampling: 1.5062870979309082
amortized time for sample size  290 is:  0.0008362329992754705
preprocessing time for sampling: 1.4787483215332031
amortized time for sample size  300 is:  0.0008311409473419192
preprocessing time for sampling: 1.4792571067810059
amortized time for sample size  310 is:  0.0008370068457818799
preprocessing time for sampling: 1.4826231002807617
amortized time for sample size  320 is:  0.000838018797338009
preprocessing time for sampling: 1.4779670238494873
amortized time for sample size  330 is:  0.0008311102101297088
preprocessing time for sampling: 1.4914460182189941
amortized time for sample size  340 is:  0.0008295833783991197
preprocessing time for sampling: 1.480767011642456
amortized time for sample size  350 is:  0.0008317580904279437
preprocessing time for sampling: 1.4798541069030762
amortized time for sample size  360 is:  0.0008320650193426345
preprocessing time for sampling: 1.4780621528625488
amortized time for sample size  370 is:  0.0008359119118870915
preprocessing time for sampling: 1.4810380935668945
amortized time for sample size  380 is:  0.0008348971856267829
preprocessing time for sampling: 1.4806888103485107
amortized time for sample size  390 is:  0.0008331818764026347
preprocessing time for sampling: 1.4899027347564697
amortized time for sample size  400 is:  0.000838196486234665
preprocessing time for sampling: 1.477889060974121
amortized time for sample size  410 is:  0.0008280949767042952
preprocessing time for sampling: 1.4797558784484863
amortized time for sample size  420 is:  0.0008375428063528879
preprocessing time for sampling: 1.480870008468628
amortized time for sample size  430 is:  0.0008383062440295551
preprocessing time for sampling: 1.478553295135498
amortized time for sample size  440 is:  0.0008299004435539246
preprocessing time for sampling: 1.4759628772735596
amortized time for sample size  450 is:  0.0008296952936384413
preprocessing time for sampling: 1.4898920059204102
amortized time for sample size  460 is:  0.0008325115027634995
preprocessing time for sampling: 1.4542529582977295
amortized time for sample size  470 is:  0.0008278408202719182
preprocessing time for sampling: 1.4788458347320557
amortized time for sample size  480 is:  0.0008269408692916235
preprocessing time for sampling: 1.4535419940948486
amortized time for sample size  490 is:  0.0008268904540003563
preprocessing time for sampling: 1.477837085723877
amortized time for sample size  500 is:  0.0008256315326690673
beta =  0.30000000000000004 

mean of accuracies: [np.float64(0.61), np.float64(0.6900000000000001), np.float64(0.6599999999999999), np.float64(0.8000000000000002), np.float64(0.8300000000000001), np.float64(0.77), np.float64(0.8700000000000001), np.float64(0.7699999999999999), np.float64(0.89), np.float64(0.85), np.float64(0.89), np.float64(0.8799999999999999), np.float64(0.8600000000000001), np.float64(0.8800000000000001), np.float64(0.9000000000000001), np.float64(0.9), np.float64(0.8800000000000001), np.float64(0.9600000000000002), np.float64(0.95), np.float64(0.89), np.float64(0.93), np.float64(0.96), np.float64(0.97), np.float64(0.9100000000000001), np.float64(0.9800000000000001), np.float64(0.93), np.float64(0.9399999999999998), np.float64(0.9800000000000001), np.float64(0.95), np.float64(0.93), np.float64(0.9), np.float64(0.93), np.float64(0.95), np.float64(0.96), np.float64(0.9200000000000002), np.float64(0.93), np.float64(0.95), np.float64(0.9400000000000001), np.float64(0.99), np.float64(0.95), np.float64(0.97), np.float64(0.9800000000000001), np.float64(0.9800000000000001), np.float64(0.93), np.float64(0.9700000000000001), np.float64(0.99), np.float64(0.96), np.float64(0.96), np.float64(0.9400000000000001), np.float64(0.9700000000000001)] 

variance of accuracies: [np.float64(0.15132745950421556), np.float64(0.10440306508910552), np.float64(0.128062484748657), np.float64(0.1264911064067352), np.float64(0.11000000000000001), np.float64(0.11000000000000003), np.float64(0.09), np.float64(0.11000000000000003), np.float64(0.09433981132056604), np.float64(0.1118033988749895), np.float64(0.11357816691600547), np.float64(0.08717797887081348), np.float64(0.0916515138991168), np.float64(0.10770329614269007), np.float64(0.07745966692414831), np.float64(0.1264911064067352), np.float64(0.12489995996796796), np.float64(0.06633249580710798), np.float64(0.06708203932499368), np.float64(0.09433981132056604), np.float64(0.1004987562112089), np.float64(0.06633249580710798), np.float64(0.04582575694955839), np.float64(0.08306623862918074), np.float64(0.039999999999999994), np.float64(0.04582575694955839), np.float64(0.10198039027185571), np.float64(0.039999999999999994), np.float64(0.06708203932499368), np.float64(0.09), np.float64(0.10954451150103324), np.float64(0.06403124237432847), np.float64(0.06708203932499367), np.float64(0.06633249580710798), np.float64(0.08717797887081348), np.float64(0.07810249675906653), np.float64(0.06708203932499368), np.float64(0.07999999999999999), np.float64(0.029999999999999992), np.float64(0.04999999999999999), np.float64(0.045825756949558386), np.float64(0.039999999999999994), np.float64(0.039999999999999994), np.float64(0.1004987562112089), np.float64(0.04582575694955839), np.float64(0.029999999999999992), np.float64(0.04898979485566355), np.float64(0.06633249580710798), np.float64(0.07999999999999999), np.float64(0.04582575694955839)] 

preprocessing time for sampling: 1.4630789756774902
amortized time for sample size  10 is:  0.0007920358180999755
preprocessing time for sampling: 1.4743571281433105
amortized time for sample size  20 is:  0.000801894187927246
preprocessing time for sampling: 1.4661550521850586
amortized time for sample size  30 is:  0.0008016555309295655
preprocessing time for sampling: 1.4739673137664795
amortized time for sample size  40 is:  0.0008049066662788392
preprocessing time for sampling: 1.4769890308380127
amortized time for sample size  50 is:  0.0008043308258056642
preprocessing time for sampling: 1.482254981994629
amortized time for sample size  60 is:  0.0008079914649327598
preprocessing time for sampling: 1.4888780117034912
amortized time for sample size  70 is:  0.0008040296009608677
preprocessing time for sampling: 1.4787089824676514
amortized time for sample size  80 is:  0.0008031308948993681
preprocessing time for sampling: 1.4787719249725342
amortized time for sample size  90 is:  0.0008227484756045872
preprocessing time for sampling: 1.4818458557128906
amortized time for sample size  100 is:  0.0008285975933074952
preprocessing time for sampling: 1.4901819229125977
amortized time for sample size  110 is:  0.0008395281704989346
preprocessing time for sampling: 1.4859530925750732
amortized time for sample size  120 is:  0.0008514485160509745
preprocessing time for sampling: 1.5110349655151367
amortized time for sample size  130 is:  0.0008333317316495456
preprocessing time for sampling: 1.4795808792114258
amortized time for sample size  140 is:  0.0008367662259510586
preprocessing time for sampling: 1.4832098484039307
amortized time for sample size  150 is:  0.0008418946107228595
preprocessing time for sampling: 1.5024559497833252
amortized time for sample size  160 is:  0.0008449401408433913
preprocessing time for sampling: 1.4808871746063232
amortized time for sample size  170 is:  0.0008330377410439884
preprocessing time for sampling: 1.5236568450927734
amortized time for sample size  180 is:  0.0008336279524697197
preprocessing time for sampling: 1.480741024017334
amortized time for sample size  190 is:  0.0008300650496231883
preprocessing time for sampling: 1.4849350452423096
amortized time for sample size  200 is:  0.0008304392933845521
preprocessing time for sampling: 1.4863150119781494
amortized time for sample size  210 is:  0.0008271441005525135
preprocessing time for sampling: 1.4812297821044922
amortized time for sample size  220 is:  0.0008291425054723567
preprocessing time for sampling: 1.483067274093628
amortized time for sample size  230 is:  0.0008391814335532809
preprocessing time for sampling: 1.49092698097229
amortized time for sample size  240 is:  0.0008306110302607219
preprocessing time for sampling: 1.4823729991912842
amortized time for sample size  250 is:  0.0008291568183898926
preprocessing time for sampling: 1.499032974243164
amortized time for sample size  260 is:  0.0008765498583133403
preprocessing time for sampling: 1.507007122039795
amortized time for sample size  270 is:  0.0008575100368923611
preprocessing time for sampling: 1.5667619705200195
amortized time for sample size  280 is:  0.0008385152731622969
preprocessing time for sampling: 1.480475902557373
amortized time for sample size  290 is:  0.0008327482568806614
preprocessing time for sampling: 1.4993107318878174
amortized time for sample size  300 is:  0.0008351866563161215
preprocessing time for sampling: 1.4777679443359375
amortized time for sample size  310 is:  0.0008287340825603854
preprocessing time for sampling: 1.4817249774932861
amortized time for sample size  320 is:  0.0008292711675167084
preprocessing time for sampling: 1.4732551574707031
amortized time for sample size  330 is:  0.000828157107035319
preprocessing time for sampling: 1.4753780364990234
amortized time for sample size  340 is:  0.0008278215211980481
preprocessing time for sampling: 1.490434169769287
amortized time for sample size  350 is:  0.0008305415017264228
preprocessing time for sampling: 1.4799690246582031
amortized time for sample size  360 is:  0.0008269944720798067
preprocessing time for sampling: 1.4594380855560303
amortized time for sample size  370 is:  0.0008170423185503161
preprocessing time for sampling: 1.4533588886260986
amortized time for sample size  380 is:  0.0008158309396944549
preprocessing time for sampling: 1.4571001529693604
amortized time for sample size  390 is:  0.0008180242624038304
preprocessing time for sampling: 1.4777989387512207
amortized time for sample size  400 is:  0.0008196064472198486
preprocessing time for sampling: 1.489164113998413
amortized time for sample size  410 is:  0.000834239250276147
preprocessing time for sampling: 1.4774997234344482
amortized time for sample size  420 is:  0.0008285165854862758
preprocessing time for sampling: 1.4927568435668945
amortized time for sample size  430 is:  0.0008318543545035429
preprocessing time for sampling: 1.4780399799346924
amortized time for sample size  440 is:  0.0008276311700994318
preprocessing time for sampling: 1.4772732257843018
amortized time for sample size  450 is:  0.0008314770062764486
preprocessing time for sampling: 1.4925892353057861
amortized time for sample size  460 is:  0.0036185782785001014
preprocessing time for sampling: 1.4536218643188477
amortized time for sample size  470 is:  0.020606867009020872
preprocessing time for sampling: 1.4505541324615479
amortized time for sample size  480 is:  0.0008188138604164123
preprocessing time for sampling: 1.4610199928283691
amortized time for sample size  490 is:  0.007451005006323056
preprocessing time for sampling: 1.4755182266235352
amortized time for sample size  500 is:  0.000829080834388733
beta =  0.4 

mean of accuracies: [np.float64(0.6599999999999999), np.float64(0.8), np.float64(0.9099999999999999), np.float64(0.8), np.float64(0.9200000000000002), np.float64(0.9), np.float64(0.9199999999999999), np.float64(0.9100000000000001), np.float64(0.9700000000000001), np.float64(1.0), np.float64(0.99), np.float64(0.95), np.float64(0.96), np.float64(0.9800000000000001), np.float64(0.99), np.float64(0.96), np.float64(0.9800000000000001), np.float64(0.9800000000000001), np.float64(0.97), np.float64(0.9700000000000001), np.float64(0.95), np.float64(1.0), np.float64(0.97), np.float64(0.9800000000000001), np.float64(1.0), np.float64(0.99), np.float64(0.99), np.float64(1.0), np.float64(0.99), np.float64(1.0), np.float64(0.99), np.float64(0.99), np.float64(0.99), np.float64(0.99), np.float64(1.0), 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(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)] 

variance of accuracies: [np.float64(0.1019803902718557), np.float64(0.11832159566199232), np.float64(0.09433981132056604), np.float64(0.10954451150103323), np.float64(0.08717797887081345), np.float64(0.08944271909999157), np.float64(0.12489995996796796), np.float64(0.08306623862918074), np.float64(0.04582575694955839), np.float64(0.0), np.float64(0.029999999999999992), np.float64(0.08062257748298547), np.float64(0.06633249580710798), np.float64(0.039999999999999994), np.float64(0.029999999999999992), np.float64(0.06633249580710798), np.float64(0.039999999999999994), np.float64(0.039999999999999994), np.float64(0.06403124237432847), np.float64(0.04582575694955839), np.float64(0.08062257748298547), np.float64(0.0), np.float64(0.04582575694955839), np.float64(0.05999999999999999), np.float64(0.0), np.float64(0.029999999999999992), np.float64(0.029999999999999992), np.float64(0.0), np.float64(0.029999999999999992), np.float64(0.0), np.float64(0.029999999999999992), np.float64(0.029999999999999992), np.float64(0.029999999999999992), np.float64(0.029999999999999992), np.float64(0.0), 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(0.0), 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)] 

preprocessing time for sampling: 1.4564619064331055
amortized time for sample size  10 is:  0.000787729263305664
preprocessing time for sampling: 1.462707757949829
amortized time for sample size  20 is:  0.0007883185148239137
preprocessing time for sampling: 1.4535901546478271
amortized time for sample size  30 is:  0.0007878383000691731
preprocessing time for sampling: 1.454169750213623
amortized time for sample size  40 is:  0.0007856319546699523
preprocessing time for sampling: 1.4540181159973145
amortized time for sample size  50 is:  0.0007944284915924073
preprocessing time for sampling: 1.4538850784301758
amortized time for sample size  60 is:  0.0007883625427881877
preprocessing time for sampling: 1.4546549320220947
amortized time for sample size  70 is:  0.0007884011609213692
preprocessing time for sampling: 1.461777687072754
amortized time for sample size  80 is:  0.0007856450676918031
preprocessing time for sampling: 1.4560391902923584
amortized time for sample size  90 is:  0.0007932221624586317
preprocessing time for sampling: 1.4524259567260742
amortized time for sample size  100 is:  0.0008060840845108032
preprocessing time for sampling: 1.4584062099456787
amortized time for sample size  110 is:  0.0008070498596538199
preprocessing time for sampling: 1.4527888298034668
amortized time for sample size  120 is:  0.0008208967248598732
preprocessing time for sampling: 1.4635322093963623
amortized time for sample size  130 is:  0.0008129622019254244
preprocessing time for sampling: 1.4563813209533691
amortized time for sample size  140 is:  0.0008197438035692487
preprocessing time for sampling: 1.4592978954315186
amortized time for sample size  150 is:  0.0008255420525868733
preprocessing time for sampling: 1.455049991607666
amortized time for sample size  160 is:  0.0008144479691982269
preprocessing time for sampling: 1.452949047088623
amortized time for sample size  170 is:  0.0008150697175194236
preprocessing time for sampling: 1.4493210315704346
amortized time for sample size  180 is:  0.0008131504058837889
preprocessing time for sampling: 1.4624629020690918
amortized time for sample size  190 is:  0.0008138884494179174
preprocessing time for sampling: 1.4555308818817139
amortized time for sample size  200 is:  0.0008133794784545899
preprocessing time for sampling: 1.4535670280456543
amortized time for sample size  210 is:  0.0008195798851194836
preprocessing time for sampling: 1.451519250869751
amortized time for sample size  220 is:  0.0008139894550496883
preprocessing time for sampling: 1.4540109634399414
amortized time for sample size  230 is:  0.0008140284185824186
preprocessing time for sampling: 1.4501550197601318
amortized time for sample size  240 is:  0.0008208356897036235
preprocessing time for sampling: 1.4865741729736328
amortized time for sample size  250 is:  0.0008257615756988526
preprocessing time for sampling: 1.477273941040039
amortized time for sample size  260 is:  0.000822901047193087
preprocessing time for sampling: 1.463115930557251
amortized time for sample size  270 is:  0.0008677128597542093
preprocessing time for sampling: 1.4905099868774414
amortized time for sample size  280 is:  0.0008704257437161035
preprocessing time for sampling: 1.4919757843017578
amortized time for sample size  290 is:  0.0008739006765957535
preprocessing time for sampling: 1.5008900165557861
amortized time for sample size  300 is:  0.0008574992338816326
preprocessing time for sampling: 1.5721032619476318
amortized time for sample size  310 is:  0.0008308016100237446
preprocessing time for sampling: 1.4805901050567627
amortized time for sample size  320 is:  0.0008295316100120543
preprocessing time for sampling: 1.4774768352508545
amortized time for sample size  330 is:  0.0008281257875037918
preprocessing time for sampling: 1.4790911674499512
amortized time for sample size  340 is:  0.0008277431445963242
preprocessing time for sampling: 1.4771602153778076
amortized time for sample size  350 is:  0.0008289222240447999
preprocessing time for sampling: 1.4930438995361328
amortized time for sample size  360 is:  0.000829085456000434
preprocessing time for sampling: 1.4821398258209229
amortized time for sample size  370 is:  0.0008284965656899117
preprocessing time for sampling: 1.4790759086608887
amortized time for sample size  380 is:  0.0008309028274134585
preprocessing time for sampling: 1.4927668571472168
amortized time for sample size  390 is:  0.0008319020638099082
preprocessing time for sampling: 1.4841601848602295
amortized time for sample size  400 is:  0.0008333196640014649
preprocessing time for sampling: 1.4901340007781982
amortized time for sample size  410 is:  0.0008282619104152773
preprocessing time for sampling: 1.4829812049865723
amortized time for sample size  420 is:  0.000831916371981303
preprocessing time for sampling: 1.4791109561920166
amortized time for sample size  430 is:  0.0008312892137571823
preprocessing time for sampling: 1.4783401489257812
amortized time for sample size  440 is:  0.0008418668725273827
preprocessing time for sampling: 1.5075109004974365
amortized time for sample size  450 is:  0.0008329170809851752
preprocessing time for sampling: 1.4861929416656494
amortized time for sample size  460 is:  0.0008305595180262692
preprocessing time for sampling: 1.492630958557129
amortized time for sample size  470 is:  0.0008318853276841184
preprocessing time for sampling: 1.4882631301879883
amortized time for sample size  480 is:  0.0008317799319823582
preprocessing time for sampling: 1.4858310222625732
amortized time for sample size  490 is:  0.0008292419423862379
preprocessing time for sampling: 1.4795689582824707
amortized time for sample size  500 is:  0.000830331416130066
beta =  0.5 

mean of accuracies: [np.float64(0.8), np.float64(0.9), np.float64(0.89), np.float64(0.8300000000000001), np.float64(0.9099999999999999), np.float64(0.9099999999999999), np.float64(0.95), np.float64(0.96), np.float64(0.97), np.float64(0.9400000000000001), np.float64(0.99), np.float64(0.99), np.float64(0.97), np.float64(0.99), np.float64(0.99), 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(0.9800000000000001), 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)] 

variance of accuracies: [np.float64(0.1414213562373095), np.float64(0.04472135954999579), np.float64(0.06999999999999999), np.float64(0.13453624047073712), np.float64(0.06999999999999998), np.float64(0.08306623862918074), np.float64(0.06708203932499368), np.float64(0.04898979485566355), np.float64(0.06403124237432847), np.float64(0.04898979485566356), np.float64(0.029999999999999992), np.float64(0.029999999999999992), np.float64(0.04582575694955839), np.float64(0.029999999999999992), np.float64(0.029999999999999992), 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(0.059999999999999984), 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)] 

preprocessing time for sampling: 1.4807710647583008
amortized time for sample size  10 is:  0.0008001835346221923
preprocessing time for sampling: 1.4788620471954346
amortized time for sample size  20 is:  0.000803768277168274
preprocessing time for sampling: 1.4903788566589355
amortized time for sample size  30 is:  0.0008030587832132975
preprocessing time for sampling: 1.4816877841949463
amortized time for sample size  40 is:  0.0008051114082336426
preprocessing time for sampling: 1.4788200855255127
amortized time for sample size  50 is:  0.0008033787250518801
preprocessing time for sampling: 1.482375144958496
amortized time for sample size  60 is:  0.0008038810888926188
preprocessing time for sampling: 1.4780428409576416
amortized time for sample size  70 is:  0.0008098855699811662
preprocessing time for sampling: 1.4931261539459229
amortized time for sample size  80 is:  0.0008035876750946045
preprocessing time for sampling: 1.4836721420288086
amortized time for sample size  90 is:  0.0008233087592654757
preprocessing time for sampling: 1.482274055480957
amortized time for sample size  100 is:  0.0008329803228378296
preprocessing time for sampling: 1.4752130508422852
amortized time for sample size  110 is:  0.0008284879164262252
preprocessing time for sampling: 1.4812700748443604
amortized time for sample size  120 is:  0.0008340669075647991
preprocessing time for sampling: 1.4573190212249756
amortized time for sample size  130 is:  0.0008288806401766265
preprocessing time for sampling: 1.4729650020599365
amortized time for sample size  140 is:  0.0008322812318801878
preprocessing time for sampling: 1.4784760475158691
amortized time for sample size  150 is:  0.0008407088915506997
preprocessing time for sampling: 1.4910759925842285
amortized time for sample size  160 is:  0.000834469497203827
preprocessing time for sampling: 1.483335018157959
amortized time for sample size  170 is:  0.0008316264012280633
preprocessing time for sampling: 1.4842560291290283
amortized time for sample size  180 is:  0.0008366807699203491
preprocessing time for sampling: 1.4948678016662598
amortized time for sample size  190 is:  0.0008331427699641178
preprocessing time for sampling: 1.4655952453613281
amortized time for sample size  200 is:  0.0008289818525314334
preprocessing time for sampling: 1.477229118347168
amortized time for sample size  210 is:  0.0008271504016149611
preprocessing time for sampling: 1.4784960746765137
amortized time for sample size  220 is:  0.0008229084665125067
preprocessing time for sampling: 1.4805192947387695
amortized time for sample size  230 is:  0.0008222079484359075
preprocessing time for sampling: 1.4642889499664307
amortized time for sample size  240 is:  0.0008295534054438271
preprocessing time for sampling: 1.4667198657989502
amortized time for sample size  250 is:  0.0008202775192260744
preprocessing time for sampling: 1.4685969352722168
amortized time for sample size  260 is:  0.0008263489649846003
preprocessing time for sampling: 1.4741671085357666
amortized time for sample size  270 is:  0.0008328722318013509
preprocessing time for sampling: 1.4788250923156738
amortized time for sample size  280 is:  0.0008297220468521119
preprocessing time for sampling: 1.481673002243042
amortized time for sample size  290 is:  0.0008286817156035325
preprocessing time for sampling: 1.482356071472168
amortized time for sample size  300 is:  0.0008313162406285607
preprocessing time for sampling: 1.4930648803710938
amortized time for sample size  310 is:  0.000829213011649347
preprocessing time for sampling: 1.4826371669769287
amortized time for sample size  320 is:  0.0008328407034277915
preprocessing time for sampling: 1.4881939888000488
amortized time for sample size  330 is:  0.0008296627492615672
preprocessing time for sampling: 1.4835867881774902
amortized time for sample size  340 is:  0.0008291995946098778
preprocessing time for sampling: 1.4841840267181396
amortized time for sample size  350 is:  0.0008393142223358152
preprocessing time for sampling: 1.4841008186340332
amortized time for sample size  360 is:  0.000829105748070611
preprocessing time for sampling: 1.4919581413269043
amortized time for sample size  370 is:  0.0008288725195704278
preprocessing time for sampling: 1.481895923614502
amortized time for sample size  380 is:  0.0008362983778903359
preprocessing time for sampling: 1.483232021331787
amortized time for sample size  390 is:  0.0008311482392824612
preprocessing time for sampling: 1.4835889339447021
amortized time for sample size  400 is:  0.0008332464158535001
preprocessing time for sampling: 1.482593059539795
amortized time for sample size  410 is:  0.010034434888421033
preprocessing time for sampling: 1.7389049530029297
amortized time for sample size  420 is:  0.03843719447226752
preprocessing time for sampling: 1.9308669567108154
amortized time for sample size  430 is:  0.0008268182444017987
preprocessing time for sampling: 1.4720969200134277
amortized time for sample size  440 is:  0.0008531728711995211
preprocessing time for sampling: 1.4605700969696045
amortized time for sample size  450 is:  0.0008149984783596462
preprocessing time for sampling: 1.453052043914795
amortized time for sample size  460 is:  0.000815341980560966
preprocessing time for sampling: 1.4553778171539307
amortized time for sample size  470 is:  0.0008149226016186652
preprocessing time for sampling: 1.4657249450683594
amortized time for sample size  480 is:  0.0008266219993432363
preprocessing time for sampling: 1.4717118740081787
amortized time for sample size  490 is:  0.0008258889110720887
preprocessing time for sampling: 1.462040901184082
amortized time for sample size  500 is:  0.0008271791553497314
beta =  0.6000000000000001 

mean of accuracies: [np.float64(0.8699999999999999), np.float64(0.8800000000000001), np.float64(0.9400000000000001), np.float64(0.97), np.float64(0.96), np.float64(0.96), np.float64(1.0), np.float64(0.99), np.float64(0.97), np.float64(1.0), 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)] 

variance of accuracies: [np.float64(0.09), np.float64(0.0748331477354788), np.float64(0.04898979485566354), np.float64(0.04582575694955839), np.float64(0.06633249580710798), np.float64(0.06633249580710798), np.float64(0.0), np.float64(0.029999999999999992), np.float64(0.04582575694955839), np.float64(0.0), 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)] 

preprocessing time for sampling: 1.4742050170898438
amortized time for sample size  10 is:  0.0008109173774719239
preprocessing time for sampling: 1.4601240158081055
amortized time for sample size  20 is:  0.00080363142490387
preprocessing time for sampling: 1.4880688190460205
amortized time for sample size  30 is:  0.0008090972105662029
preprocessing time for sampling: 1.4723079204559326
amortized time for sample size  40 is:  0.0008112047910690308
preprocessing time for sampling: 1.4656298160552979
amortized time for sample size  50 is:  0.000802552890777588
preprocessing time for sampling: 1.4569506645202637
amortized time for sample size  60 is:  0.0008009152412414551
preprocessing time for sampling: 1.4718201160430908
amortized time for sample size  70 is:  0.0008094178949083599
preprocessing time for sampling: 1.4841971397399902
amortized time for sample size  80 is:  0.0008107633292675018
preprocessing time for sampling: 1.477431058883667
amortized time for sample size  90 is:  0.0008197576734754775
preprocessing time for sampling: 1.4753673076629639
amortized time for sample size  100 is:  0.0008325103521347046
preprocessing time for sampling: 1.4934771060943604
amortized time for sample size  110 is:  0.000828434770757502
preprocessing time for sampling: 1.4793369770050049
amortized time for sample size  120 is:  0.0008294082283973693
preprocessing time for sampling: 1.4688539505004883
amortized time for sample size  130 is:  0.0008289006306574894
preprocessing time for sampling: 1.463172197341919
amortized time for sample size  140 is:  0.0008306331293923512
preprocessing time for sampling: 1.4883320331573486
amortized time for sample size  150 is:  0.000836770534515381
preprocessing time for sampling: 1.4617979526519775
amortized time for sample size  160 is:  0.0008278229385614396
preprocessing time for sampling: 1.4677529335021973
amortized time for sample size  170 is:  0.0008388773132773006
preprocessing time for sampling: 1.483022928237915
amortized time for sample size  180 is:  0.0008340978489981758
preprocessing time for sampling: 1.4780550003051758
amortized time for sample size  190 is:  0.0008314744673277203
preprocessing time for sampling: 1.4733381271362305
amortized time for sample size  200 is:  0.0008278305172920227
preprocessing time for sampling: 1.4771859645843506
amortized time for sample size  210 is:  0.0008379499685196651
preprocessing time for sampling: 1.4858598709106445
amortized time for sample size  220 is:  0.0008598713549700651
preprocessing time for sampling: 1.488387107849121
amortized time for sample size  230 is:  0.000867054389870685
preprocessing time for sampling: 1.4885590076446533
amortized time for sample size  240 is:  0.0008451084097226462
preprocessing time for sampling: 1.4863860607147217
amortized time for sample size  250 is:  0.0008343276691436766
preprocessing time for sampling: 1.4934380054473877
amortized time for sample size  260 is:  0.0008372879028320314
preprocessing time for sampling: 1.4833190441131592
amortized time for sample size  270 is:  0.0008316951327853733
preprocessing time for sampling: 1.4821913242340088
amortized time for sample size  280 is:  0.0008330578548567634
preprocessing time for sampling: 1.4817640781402588
amortized time for sample size  290 is:  0.0008293117983587859
preprocessing time for sampling: 1.4817230701446533
amortized time for sample size  300 is:  0.0008298241694768269
preprocessing time for sampling: 1.4841227531433105
amortized time for sample size  310 is:  0.0008404825502826321
preprocessing time for sampling: 1.489084005355835
amortized time for sample size  320 is:  0.0008294807076454164
preprocessing time for sampling: 1.480586051940918
amortized time for sample size  330 is:  0.0008292567585453842
preprocessing time for sampling: 1.4798259735107422
amortized time for sample size  340 is:  0.0008284167331807754
preprocessing time for sampling: 1.4799449443817139
amortized time for sample size  350 is:  0.000841756936482021
preprocessing time for sampling: 1.4802401065826416
amortized time for sample size  360 is:  0.0008364371127552459
preprocessing time for sampling: 1.4982028007507324
amortized time for sample size  370 is:  0.000836032925425349
preprocessing time for sampling: 1.4830210208892822
amortized time for sample size  380 is:  0.0008382738577692132
preprocessing time for sampling: 1.4802899360656738
amortized time for sample size  390 is:  0.0008438075566903139
preprocessing time for sampling: 1.4823079109191895
amortized time for sample size  400 is:  0.0008382818877696993
preprocessing time for sampling: 1.4835619926452637
amortized time for sample size  410 is:  0.0008430267775931008
preprocessing time for sampling: 1.4832768440246582
amortized time for sample size  420 is:  0.000838027006103879
preprocessing time for sampling: 1.4926979541778564
amortized time for sample size  430 is:  0.0008329301379447761
preprocessing time for sampling: 1.488215684890747
amortized time for sample size  440 is:  0.000846730031750419
preprocessing time for sampling: 1.488581895828247
amortized time for sample size  450 is:  0.0008437119007110596
preprocessing time for sampling: 1.4832539558410645
amortized time for sample size  460 is:  0.0008330866046573804
preprocessing time for sampling: 1.4807910919189453
amortized time for sample size  470 is:  0.000829299936903284
preprocessing time for sampling: 1.490785837173462
amortized time for sample size  480 is:  0.0008288968056440356
preprocessing time for sampling: 1.4801547527313232
amortized time for sample size  490 is:  0.000829024772254788
preprocessing time for sampling: 1.4792330265045166
amortized time for sample size  500 is:  0.0008266812753677369
beta =  0.7000000000000001 

mean of accuracies: [np.float64(0.8899999999999999), np.float64(0.97), np.float64(0.97), np.float64(1.0), 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)] 

variance of accuracies: [np.float64(0.09433981132056604), np.float64(0.04582575694955839), np.float64(0.04582575694955839), np.float64(0.0), 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)] 

preprocessing time for sampling: 1.4610671997070312
amortized time for sample size  10 is:  0.0008544664382934571
preprocessing time for sampling: 1.4918467998504639
amortized time for sample size  20 is:  0.000891348123550415
preprocessing time for sampling: 1.4764878749847412
amortized time for sample size  30 is:  0.0008376845518747965
preprocessing time for sampling: 1.4862768650054932
amortized time for sample size  40 is:  0.0008304203152656557
preprocessing time for sampling: 1.471863031387329
amortized time for sample size  50 is:  0.0008552510261535644
preprocessing time for sampling: 1.49058198928833
amortized time for sample size  60 is:  0.0008171930710474651
preprocessing time for sampling: 1.4816350936889648
amortized time for sample size  70 is:  0.0008081064564841133
preprocessing time for sampling: 1.4696240425109863
amortized time for sample size  80 is:  0.0008033272027969361
preprocessing time for sampling: 1.469712734222412
amortized time for sample size  90 is:  0.0008259250587887234
preprocessing time for sampling: 1.4863591194152832
amortized time for sample size  100 is:  0.0008225799560546876
preprocessing time for sampling: 1.4726049900054932
amortized time for sample size  110 is:  0.0008305027918382125
preprocessing time for sampling: 1.4821858406066895
amortized time for sample size  120 is:  0.0008358529806137087
preprocessing time for sampling: 1.4782111644744873
amortized time for sample size  130 is:  0.0008355603768275334
preprocessing time for sampling: 1.4681518077850342
amortized time for sample size  140 is:  0.0008316989115306309
preprocessing time for sampling: 1.4793450832366943
amortized time for sample size  150 is:  0.0008327940464019774
preprocessing time for sampling: 1.4613549709320068
amortized time for sample size  160 is:  0.0008273577690124512
preprocessing time for sampling: 1.456449031829834
amortized time for sample size  170 is:  0.0008276386681724995
preprocessing time for sampling: 1.4772369861602783
amortized time for sample size  180 is:  0.0008293222188949585
preprocessing time for sampling: 1.4806239604949951
amortized time for sample size  190 is:  0.0008390459763376334
preprocessing time for sampling: 1.4975600242614746
amortized time for sample size  200 is:  0.0008345768451690673
preprocessing time for sampling: 1.4912738800048828
amortized time for sample size  210 is:  0.0008655821482340495
preprocessing time for sampling: 1.485079050064087
amortized time for sample size  220 is:  0.0008504154465415262
preprocessing time for sampling: 1.5095529556274414
amortized time for sample size  230 is:  0.0008658927627231763
preprocessing time for sampling: 1.4945068359375
amortized time for sample size  240 is:  0.0008748229940732319
preprocessing time for sampling: 1.5216398239135742
amortized time for sample size  250 is:  0.0008709951591491699
preprocessing time for sampling: 1.511096715927124
amortized time for sample size  260 is:  0.0008427590773655818
preprocessing time for sampling: 1.5106558799743652
amortized time for sample size  270 is:  0.0008367608564871329
preprocessing time for sampling: 1.5038342475891113
amortized time for sample size  280 is:  0.0008345509001186916
preprocessing time for sampling: 1.4810540676116943
amortized time for sample size  290 is:  0.0008297209246405239
preprocessing time for sampling: 1.479753017425537
amortized time for sample size  300 is:  0.0008340603987375896
preprocessing time for sampling: 1.479863166809082
amortized time for sample size  310 is:  0.0008294548449977751
preprocessing time for sampling: 1.4910998344421387
amortized time for sample size  320 is:  0.0008313115015625954
preprocessing time for sampling: 1.4832048416137695
amortized time for sample size  330 is:  0.0008301880287401602
preprocessing time for sampling: 1.4771020412445068
amortized time for sample size  340 is:  0.0008292091944638419
preprocessing time for sampling: 1.4599277973175049
amortized time for sample size  350 is:  0.0008260859353201731
preprocessing time for sampling: 1.4636030197143555
amortized time for sample size  360 is:  0.0008272386988004049
preprocessing time for sampling: 1.469141960144043
amortized time for sample size  370 is:  0.0008401011196342674
preprocessing time for sampling: 1.5001399517059326
amortized time for sample size  380 is:  0.000833505247768603
preprocessing time for sampling: 1.4710948467254639
amortized time for sample size  390 is:  0.0008532648086547852
preprocessing time for sampling: 1.478450059890747
amortized time for sample size  400 is:  0.0008300295889377595
preprocessing time for sampling: 1.465137004852295
amortized time for sample size  410 is:  0.0008275729505027213
preprocessing time for sampling: 1.4821796417236328
amortized time for sample size  420 is:  0.0008247477213541667
preprocessing time for sampling: 1.4651589393615723
amortized time for sample size  430 is:  0.0008187339305877687
preprocessing time for sampling: 1.482372760772705
amortized time for sample size  440 is:  0.0008302512656558644
preprocessing time for sampling: 1.4774539470672607
amortized time for sample size  450 is:  0.0008343459659152562
preprocessing time for sampling: 1.48195481300354
amortized time for sample size  460 is:  0.0008284152746200562
preprocessing time for sampling: 1.4822049140930176
amortized time for sample size  470 is:  0.000829029458634397
preprocessing time for sampling: 1.482591152191162
amortized time for sample size  480 is:  0.0008290143807729086
preprocessing time for sampling: 1.4924201965332031
amortized time for sample size  490 is:  0.0008304157694991754
preprocessing time for sampling: 1.481194019317627
amortized time for sample size  500 is:  0.0008318423128128052
beta =  0.8 

mean of accuracies: [np.float64(0.96), np.float64(0.9800000000000001), np.float64(0.9700000000000001), 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)] 

variance of accuracies: [np.float64(0.04898979485566356), np.float64(0.039999999999999994), np.float64(0.04582575694955839), 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)] 

preprocessing time for sampling: 1.483044147491455
amortized time for sample size  10 is:  0.0008007788658142089
preprocessing time for sampling: 1.4808950424194336
amortized time for sample size  20 is:  0.0008075758218765259
preprocessing time for sampling: 1.4809551239013672
amortized time for sample size  30 is:  0.0008053750197092691
preprocessing time for sampling: 1.4807541370391846
amortized time for sample size  40 is:  0.0008043152093887328
preprocessing time for sampling: 1.491873025894165
amortized time for sample size  50 is:  0.0008051903247833253
preprocessing time for sampling: 1.4811351299285889
amortized time for sample size  60 is:  0.0008096717993418376
preprocessing time for sampling: 1.484104871749878
amortized time for sample size  70 is:  0.0008039661816188268
preprocessing time for sampling: 1.4861791133880615
amortized time for sample size  80 is:  0.0008021229803562166
preprocessing time for sampling: 1.4823009967803955
amortized time for sample size  90 is:  0.0008129183451334636
preprocessing time for sampling: 1.4795949459075928
amortized time for sample size  100 is:  0.0008219576597213744
preprocessing time for sampling: 1.4959838390350342
amortized time for sample size  110 is:  0.0008204636790535669
preprocessing time for sampling: 1.4823551177978516
amortized time for sample size  120 is:  0.0008298322558403014
preprocessing time for sampling: 1.4831080436706543
amortized time for sample size  130 is:  0.0008289967133448673
preprocessing time for sampling: 1.4836311340332031
amortized time for sample size  140 is:  0.000831760287284851
preprocessing time for sampling: 1.4825348854064941
amortized time for sample size  150 is:  0.0008309221426645913
preprocessing time for sampling: 1.4923226833343506
amortized time for sample size  160 is:  0.0008285791873931885
preprocessing time for sampling: 1.4823851585388184
amortized time for sample size  170 is:  0.0008299195485956529
preprocessing time for sampling: 1.4825608730316162
amortized time for sample size  180 is:  0.0008291178676817151
preprocessing time for sampling: 1.478666067123413
amortized time for sample size  190 is:  0.0008298362305289821
preprocessing time for sampling: 1.480729103088379
amortized time for sample size  200 is:  0.0008299334406852724
preprocessing time for sampling: 1.4768950939178467
amortized time for sample size  210 is:  0.0008289353620438348
preprocessing time for sampling: 1.4887340068817139
amortized time for sample size  220 is:  0.0008281943364576859
preprocessing time for sampling: 1.4781122207641602
amortized time for sample size  230 is:  0.0008291624110677967
preprocessing time for sampling: 1.4742920398712158
amortized time for sample size  240 is:  0.0008277834256490072
preprocessing time for sampling: 1.4603309631347656
amortized time for sample size  250 is:  0.0008273932743072511
preprocessing time for sampling: 1.472059965133667
amortized time for sample size  260 is:  0.0008291844863158006
preprocessing time for sampling: 1.4696083068847656
amortized time for sample size  270 is:  0.0008295804836131907
preprocessing time for sampling: 1.4954431056976318
amortized time for sample size  280 is:  0.0008539923770087104
preprocessing time for sampling: 1.482908010482788
amortized time for sample size  290 is:  0.0008492807766486857
preprocessing time for sampling: 1.4850702285766602
amortized time for sample size  300 is:  0.0008369053681691488
preprocessing time for sampling: 1.4801130294799805
amortized time for sample size  310 is:  0.0008327680249367992
preprocessing time for sampling: 1.4909336566925049
amortized time for sample size  320 is:  0.0008341670632362366
preprocessing time for sampling: 1.4938838481903076
amortized time for sample size  330 is:  0.0008923429648081461
preprocessing time for sampling: 1.9188380241394043
amortized time for sample size  340 is:  0.0730382564979441
preprocessing time for sampling: 1.9261467456817627
amortized time for sample size  350 is:  0.0010741341659000943
preprocessing time for sampling: 1.9257128238677979
amortized time for sample size  360 is:  0.0010771622790230644
preprocessing time for sampling: 1.9178149700164795
amortized time for sample size  370 is:  0.001075609181378339
preprocessing time for sampling: 1.9166600704193115
amortized time for sample size  380 is:  0.001077708821547659
preprocessing time for sampling: 1.9427201747894287
amortized time for sample size  390 is:  0.010312285594451121
preprocessing time for sampling: 1.9319519996643066
amortized time for sample size  400 is:  0.0010745084941387176
preprocessing time for sampling: 1.9144470691680908
amortized time for sample size  410 is:  0.0010729922492329666
preprocessing time for sampling: 1.9147858619689941
amortized time for sample size  420 is:  0.0010742294050398327
preprocessing time for sampling: 1.9192640781402588
amortized time for sample size  430 is:  0.001081908763841141
preprocessing time for sampling: 1.9294331073760986
amortized time for sample size  440 is:  0.0010726078206842596
preprocessing time for sampling: 1.9185950756072998
amortized time for sample size  450 is:  0.0010742224640316433
preprocessing time for sampling: 1.9204349517822266
amortized time for sample size  460 is:  0.0010718293811963953
preprocessing time for sampling: 1.9148368835449219
amortized time for sample size  470 is:  0.001072207100847934
preprocessing time for sampling: 1.9188048839569092
amortized time for sample size  480 is:  0.0010708689391613008
preprocessing time for sampling: 1.9143788814544678
amortized time for sample size  490 is:  0.04702468116429388
preprocessing time for sampling: 1.9334282875061035
amortized time for sample size  500 is:  0.020585107545852663
beta =  0.9 

mean of accuracies: [np.float64(0.9200000000000002), np.float64(0.99), np.float64(0.99), 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)] 

variance of accuracies: [np.float64(0.08717797887081345), np.float64(0.029999999999999992), np.float64(0.029999999999999992), 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)] 

preprocessing time for sampling: 1.9177119731903076
amortized time for sample size  10 is:  0.001041069507598877
preprocessing time for sampling: 1.9170758724212646
amortized time for sample size  20 is:  0.0010367608070373535
preprocessing time for sampling: 1.9149210453033447
amortized time for sample size  30 is:  0.30337919815381376
preprocessing time for sampling: 1.9216351509094238
amortized time for sample size  40 is:  0.1802246510982513
preprocessing time for sampling: 1.9457900524139404
amortized time for sample size  50 is:  0.0010898483276367186
preprocessing time for sampling: 2.316722869873047
amortized time for sample size  60 is:  0.0010966239770253499
preprocessing time for sampling: 1.9367170333862305
amortized time for sample size  70 is:  0.0010811066286904472
preprocessing time for sampling: 1.9218518733978271
amortized time for sample size  80 is:  0.001058704733848572
preprocessing time for sampling: 1.9267120361328125
amortized time for sample size  90 is:  0.0010971475707160102
preprocessing time for sampling: 1.934274673461914
amortized time for sample size  100 is:  0.0010911714553833007
preprocessing time for sampling: 1.9508018493652344
amortized time for sample size  110 is:  0.0010991132909601384
preprocessing time for sampling: 1.9278647899627686
amortized time for sample size  120 is:  0.001100438932577769
preprocessing time for sampling: 1.9220569133758545
amortized time for sample size  130 is:  0.0010900451219998874
preprocessing time for sampling: 1.9821350574493408
amortized time for sample size  140 is:  0.0011006095409393309
preprocessing time for sampling: 1.9604041576385498
amortized time for sample size  150 is:  0.0010850290298461914
preprocessing time for sampling: 1.9362647533416748
amortized time for sample size  160 is:  0.0010983000397682189
preprocessing time for sampling: 1.9502739906311035
amortized time for sample size  170 is:  0.0011224043790031882
preprocessing time for sampling: 1.9646708965301514
amortized time for sample size  180 is:  0.001096061733033922
preprocessing time for sampling: 2.063732147216797
amortized time for sample size  190 is:  0.001095171526858681
preprocessing time for sampling: 1.9204931259155273
amortized time for sample size  200 is:  0.001078902220726013
preprocessing time for sampling: 1.9394702911376953
amortized time for sample size  210 is:  0.0010816431840260825
preprocessing time for sampling: 1.9280903339385986
amortized time for sample size  220 is:  0.0010808485421267423
preprocessing time for sampling: 1.9357821941375732
amortized time for sample size  230 is:  0.0010729353013245956
preprocessing time for sampling: 1.918159008026123
amortized time for sample size  240 is:  0.001079998582601547
preprocessing time for sampling: 1.9229991436004639
amortized time for sample size  250 is:  0.001104790382385254
preprocessing time for sampling: 1.9631538391113281
amortized time for sample size  260 is:  0.001113804193643423
preprocessing time for sampling: 1.936680793762207
amortized time for sample size  270 is:  0.001092132533038104
preprocessing time for sampling: 1.932102918624878
amortized time for sample size  280 is:  0.0011047594121524264
preprocessing time for sampling: 1.949275016784668
amortized time for sample size  290 is:  0.0011059936654978784
preprocessing time for sampling: 1.9176599979400635
amortized time for sample size  300 is:  0.001076207955678304
preprocessing time for sampling: 1.9464869499206543
amortized time for sample size  310 is:  0.0010898346747121503
preprocessing time for sampling: 1.9300072193145752
amortized time for sample size  320 is:  0.0010876218229532242
preprocessing time for sampling: 1.9338829517364502
amortized time for sample size  330 is:  0.0010876288630745628
preprocessing time for sampling: 1.9542968273162842
amortized time for sample size  340 is:  0.00107828286114861
preprocessing time for sampling: 1.954737901687622
amortized time for sample size  350 is:  0.0010807240962982178
preprocessing time for sampling: 1.9182958602905273
amortized time for sample size  360 is:  0.0010820674035284252
preprocessing time for sampling: 1.9184610843658447
amortized time for sample size  370 is:  0.0010808800942188983
preprocessing time for sampling: 1.9214460849761963
amortized time for sample size  380 is:  0.0010829876473075466
preprocessing time for sampling: 1.9718360900878906
amortized time for sample size  390 is:  0.0010791846360915746
preprocessing time for sampling: 1.9154648780822754
amortized time for sample size  400 is:  0.0010777544856071472
preprocessing time for sampling: 1.938176155090332
amortized time for sample size  410 is:  0.0010810430049896242
preprocessing time for sampling: 1.9169373512268066
amortized time for sample size  420 is:  0.0010720157396225702
preprocessing time for sampling: 1.9202167987823486
amortized time for sample size  430 is:  0.0010776867644731389
preprocessing time for sampling: 1.9227724075317383
amortized time for sample size  440 is:  0.0010772937536239625
preprocessing time for sampling: 1.944957971572876
amortized time for sample size  450 is:  0.0010789240678151448
preprocessing time for sampling: 1.9151110649108887
amortized time for sample size  460 is:  0.001083757778872614
preprocessing time for sampling: 1.9739010334014893
amortized time for sample size  470 is:  0.00108214954619712
preprocessing time for sampling: 1.9364428520202637
amortized time for sample size  480 is:  0.0010820647776126863
preprocessing time for sampling: 1.9159018993377686
amortized time for sample size  490 is:  0.001071486400098217
preprocessing time for sampling: 1.9273428916931152
amortized time for sample size  500 is:  0.0010856239509582518
beta =  1.0 

mean of accuracies: [np.float64(0.96), 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(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), 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(0.029999999999999992), 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(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), 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: 1.933743953704834
amortized time for sample size  10 is:  0.0010392596721649169
preprocessing time for sampling: 1.9191961288452148
amortized time for sample size  20 is:  0.001061540961265564
preprocessing time for sampling: 1.9255518913269043
amortized time for sample size  30 is:  0.0010425684452056887
preprocessing time for sampling: 1.9251058101654053
amortized time for sample size  40 is:  0.0010508573055267333
preprocessing time for sampling: 1.9156169891357422
amortized time for sample size  50 is:  0.0010368430137634276
preprocessing time for sampling: 1.9268982410430908
amortized time for sample size  60 is:  0.0010352760155995686
preprocessing time for sampling: 1.9313530921936035
amortized time for sample size  70 is:  0.0010559054783412388
preprocessing time for sampling: 1.9270451068878174
amortized time for sample size  80 is:  0.0010621645152568816
preprocessing time for sampling: 1.9421861171722412
amortized time for sample size  90 is:  0.0010777490933736164
preprocessing time for sampling: 1.9322121143341064
amortized time for sample size  100 is:  0.0010745471000671385
preprocessing time for sampling: 1.9218339920043945
amortized time for sample size  110 is:  0.0010808161388744008
preprocessing time for sampling: 1.9481327533721924
amortized time for sample size  120 is:  0.0011056933005650837
preprocessing time for sampling: 1.952380895614624
amortized time for sample size  130 is:  0.0011033537938044623
preprocessing time for sampling: 2.030709981918335
amortized time for sample size  140 is:  0.001096908688545227
preprocessing time for sampling: 1.9481589794158936
amortized time for sample size  150 is:  0.001103983720143636
preprocessing time for sampling: 1.934171199798584
amortized time for sample size  160 is:  0.0010844846665859222
preprocessing time for sampling: 1.9692389965057373
amortized time for sample size  170 is:  0.0011048335608314066
preprocessing time for sampling: 1.9490413665771484
amortized time for sample size  180 is:  0.0010851969321568804
preprocessing time for sampling: 1.932420015335083
amortized time for sample size  190 is:  0.0010777819156646729
preprocessing time for sampling: 1.9209651947021484
amortized time for sample size  200 is:  0.0010878607749938965
preprocessing time for sampling: 1.9313971996307373
amortized time for sample size  210 is:  0.001078814358938308
preprocessing time for sampling: 1.9195630550384521
amortized time for sample size  220 is:  0.0010751168836246837
preprocessing time for sampling: 1.9329841136932373
amortized time for sample size  230 is:  0.12357737610651101
preprocessing time for sampling: 1.9243769645690918
amortized time for sample size  240 is:  0.02931234028935433
preprocessing time for sampling: 1.9122710227966309
amortized time for sample size  250 is:  0.060247575321197504
preprocessing time for sampling: 928.6074650287628
amortized time for sample size  260 is:  0.07947140342455644
preprocessing time for sampling: 1.9516980648040771
amortized time for sample size  270 is:  0.001079905006620619
preprocessing time for sampling: 1.9179608821868896
amortized time for sample size  280 is:  0.0010745871577944074
preprocessing time for sampling: 1.9274170398712158
amortized time for sample size  290 is:  0.0010725119278348727
preprocessing time for sampling: 1.9344792366027832
amortized time for sample size  300 is:  0.001073224663734436
preprocessing time for sampling: 1.9152231216430664
amortized time for sample size  310 is:  0.009083448771507508
preprocessing time for sampling: 1.9176287651062012
amortized time for sample size  320 is:  0.001072826534509659
preprocessing time for sampling: 1.918976068496704
amortized time for sample size  330 is:  0.0010700341499213018
preprocessing time for sampling: 1.920854091644287
amortized time for sample size  340 is:  0.001070102467256434
preprocessing time for sampling: 1.929818868637085
amortized time for sample size  350 is:  0.0010859077862330844
preprocessing time for sampling: 1.9168379306793213
amortized time for sample size  360 is:  0.0010785374111599393
preprocessing time for sampling: 1.9146668910980225
amortized time for sample size  370 is:  0.0010709731901014173
preprocessing time for sampling: 1.9141578674316406
amortized time for sample size  380 is:  0.0010685467970998662
preprocessing time for sampling: 1.9304966926574707
amortized time for sample size  390 is:  0.04965519763261844
preprocessing time for sampling: 1.9457268714904785
amortized time for sample size  400 is:  0.0010876522600650788
preprocessing time for sampling: 1.9220850467681885
amortized time for sample size  410 is:  0.0010750453646590072
preprocessing time for sampling: 1.9294750690460205
amortized time for sample size  420 is:  0.0010777360427947273
preprocessing time for sampling: 1.976639986038208
amortized time for sample size  430 is:  0.0010803993579953214
preprocessing time for sampling: 1.937053918838501
amortized time for sample size  440 is:  0.0010849105282263322
preprocessing time for sampling: 1.9367449283599854
amortized time for sample size  450 is:  0.0010883532736036513
preprocessing time for sampling: 1.9383928775787354
amortized time for sample size  460 is:  0.0010817839995674464
preprocessing time for sampling: 1.96486496925354
amortized time for sample size  470 is:  0.00108649775829721
preprocessing time for sampling: 1.9281728267669678
amortized time for sample size  480 is:  0.0010890040993690492
preprocessing time for sampling: 1.9149792194366455
amortized time for sample size  490 is:  0.001084961531113605
preprocessing time for sampling: 1.917957067489624
amortized time for sample size  500 is:  0.0010845035457611085
beta =  1.1 

mean of accuracies: [np.float64(0.95), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), 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(0.06708203932499368), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), 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: 2.009765863418579
amortized time for sample size  10 is:  0.0010602235794067382
preprocessing time for sampling: 1.936359167098999
amortized time for sample size  20 is:  0.0010452088117599487
preprocessing time for sampling: 1.9340159893035889
amortized time for sample size  30 is:  0.0010396352608998617
preprocessing time for sampling: 1.9186592102050781
amortized time for sample size  40 is:  0.0010491073131561278
preprocessing time for sampling: 1.9453368186950684
amortized time for sample size  50 is:  0.0010737207412719724
preprocessing time for sampling: 1.920912265777588
amortized time for sample size  60 is:  0.001061231017112732
preprocessing time for sampling: 1.927130937576294
amortized time for sample size  70 is:  0.0010498876231057302
preprocessing time for sampling: 1.9173200130462646
amortized time for sample size  80 is:  0.0010642115473747252
preprocessing time for sampling: 1.9144330024719238
amortized time for sample size  90 is:  0.001070041471057468
preprocessing time for sampling: 1.9183921813964844
amortized time for sample size  100 is:  0.0010727369785308836
preprocessing time for sampling: 1.9168860912322998
amortized time for sample size  110 is:  0.0010701852278275923
preprocessing time for sampling: 1.9214057922363281
amortized time for sample size  120 is:  0.0010740156372388205
preprocessing time for sampling: 1.921436071395874
amortized time for sample size  130 is:  0.0010784484056326061
preprocessing time for sampling: 1.9418880939483643
amortized time for sample size  140 is:  0.0010826248782021658
preprocessing time for sampling: 1.9165120124816895
amortized time for sample size  150 is:  0.0010808793067932129
preprocessing time for sampling: 1.9207360744476318
amortized time for sample size  160 is:  0.0010794785916805267
preprocessing time for sampling: 1.9195692539215088
amortized time for sample size  170 is:  0.001073493284337661
preprocessing time for sampling: 1.915771245956421
amortized time for sample size  180 is:  0.0010711227258046467
preprocessing time for sampling: 1.9233460426330566
amortized time for sample size  190 is:  0.0010733511698873422
preprocessing time for sampling: 1.9193079471588135
amortized time for sample size  200 is:  0.0010699153304100039
preprocessing time for sampling: 1.9151697158813477
amortized time for sample size  210 is:  0.0010731898148854573
preprocessing time for sampling: 1.9184198379516602
amortized time for sample size  220 is:  0.0010736475966193458
preprocessing time for sampling: 1.9210753440856934
amortized time for sample size  230 is:  0.0010757853881172513
preprocessing time for sampling: 1.922490119934082
amortized time for sample size  240 is:  0.0010712295671304068
preprocessing time for sampling: 1.9223580360412598
amortized time for sample size  250 is:  0.012621997470855713
preprocessing time for sampling: 1.9388761520385742
amortized time for sample size  260 is:  0.001098616123199463
preprocessing time for sampling: 1.9502909183502197
amortized time for sample size  270 is:  0.0010980573230319553
preprocessing time for sampling: 1.9291319847106934
amortized time for sample size  280 is:  0.0011232288905552454
preprocessing time for sampling: 1.9177510738372803
amortized time for sample size  290 is:  0.0010773893964701685
preprocessing time for sampling: 1.9355158805847168
amortized time for sample size  300 is:  0.001082195274035136
preprocessing time for sampling: 1.9802391529083252
amortized time for sample size  310 is:  0.0010817650287382064
preprocessing time for sampling: 1.9166829586029053
amortized time for sample size  320 is:  0.0010784757509827616
preprocessing time for sampling: 1.976846694946289
amortized time for sample size  330 is:  0.0010828233415430242
preprocessing time for sampling: 1.9980690479278564
amortized time for sample size  340 is:  0.0010941074876224296
preprocessing time for sampling: 1.9397261142730713
amortized time for sample size  350 is:  0.0010902945177895683
preprocessing time for sampling: 1.9400489330291748
amortized time for sample size  360 is:  0.0010835551685757108
preprocessing time for sampling: 1.9334790706634521
amortized time for sample size  370 is:  0.0010846168221654118
preprocessing time for sampling: 1.9354181289672852
amortized time for sample size  380 is:  0.0010810129642486572
preprocessing time for sampling: 1.9339001178741455
amortized time for sample size  390 is:  0.0010889678368201624
preprocessing time for sampling: 1.9295921325683594
amortized time for sample size  400 is:  0.0010839829623699188
preprocessing time for sampling: 1.9441468715667725
amortized time for sample size  410 is:  0.0010892222043944568
preprocessing time for sampling: 1.9367690086364746
amortized time for sample size  420 is:  0.0010914980400176272
preprocessing time for sampling: 1.9360921382904053
amortized time for sample size  430 is:  0.0010887330354646195
preprocessing time for sampling: 1.950261116027832
amortized time for sample size  440 is:  0.0011169756271622398
preprocessing time for sampling: 1.9556498527526855
amortized time for sample size  450 is:  0.0011084898895687525
preprocessing time for sampling: 2.1506428718566895
amortized time for sample size  460 is:  0.0011287928405015366
preprocessing time for sampling: 1.9338788986206055
amortized time for sample size  470 is:  0.001110152300367964
preprocessing time for sampling: 1.9596459865570068
amortized time for sample size  480 is:  0.0010912747780481974
preprocessing time for sampling: 1.962904930114746
amortized time for sample size  490 is:  0.0010744699507343526
preprocessing time for sampling: 1.9168798923492432
amortized time for sample size  500 is:  0.001075013337135315
beta =  1.2000000000000002 

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

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

