preprocessing time for sampling: 0.2960641384124756
amortized time for sample size  10 is:  0.0003165700435638428
preprocessing time for sampling: 0.2972080707550049
amortized time for sample size  20 is:  0.00031535804271698003
preprocessing time for sampling: 0.29570603370666504
amortized time for sample size  30 is:  0.000315921147664388
preprocessing time for sampling: 0.29561400413513184
amortized time for sample size  40 is:  0.00031703102588653565
preprocessing time for sampling: 0.2954528331756592
amortized time for sample size  50 is:  0.00031682357788085936
preprocessing time for sampling: 0.29653310775756836
amortized time for sample size  60 is:  0.00031719962755839034
preprocessing time for sampling: 0.29801511764526367
amortized time for sample size  70 is:  0.00031923719814845494
preprocessing time for sampling: 0.3004012107849121
amortized time for sample size  80 is:  0.0003174774348735809
preprocessing time for sampling: 0.2953159809112549
amortized time for sample size  90 is:  0.0003170674377017551
preprocessing time for sampling: 0.29593515396118164
amortized time for sample size  100 is:  0.0003172318935394287
preprocessing time for sampling: 0.2956559658050537
amortized time for sample size  110 is:  0.00031694830547679555
preprocessing time for sampling: 0.2936990261077881
amortized time for sample size  120 is:  0.0003154576818148295
preprocessing time for sampling: 0.29560089111328125
amortized time for sample size  130 is:  0.0003158098000746507
preprocessing time for sampling: 0.29566192626953125
amortized time for sample size  140 is:  0.00031763608115059996
preprocessing time for sampling: 0.29561519622802734
amortized time for sample size  150 is:  0.00031661035219828285
preprocessing time for sampling: 0.2955288887023926
amortized time for sample size  160 is:  0.00031695465743541713
preprocessing time for sampling: 0.2957141399383545
amortized time for sample size  170 is:  0.00031662008341620953
preprocessing time for sampling: 0.2955310344696045
amortized time for sample size  180 is:  0.00031647619936201306
preprocessing time for sampling: 0.2951850891113281
amortized time for sample size  190 is:  0.0003166408789785285
preprocessing time for sampling: 0.30130934715270996
amortized time for sample size  200 is:  0.00031551929712295536
preprocessing time for sampling: 0.2925570011138916
amortized time for sample size  210 is:  0.00031567167100452246
preprocessing time for sampling: 0.29293298721313477
amortized time for sample size  220 is:  0.00031579300490292635
preprocessing time for sampling: 0.29192090034484863
amortized time for sample size  230 is:  0.00031604944104733667
preprocessing time for sampling: 0.29340696334838867
amortized time for sample size  240 is:  0.0003164775768915812
preprocessing time for sampling: 0.2936439514160156
amortized time for sample size  250 is:  0.0003158915424346924
preprocessing time for sampling: 0.29303812980651855
amortized time for sample size  260 is:  0.0003162430983323317
preprocessing time for sampling: 0.2933320999145508
amortized time for sample size  270 is:  0.0003196638160281711
preprocessing time for sampling: 0.29285407066345215
amortized time for sample size  280 is:  0.0003160647239003862
preprocessing time for sampling: 0.29272007942199707
amortized time for sample size  290 is:  0.0003175242440453891
preprocessing time for sampling: 0.29322218894958496
amortized time for sample size  300 is:  0.000315658164024353
preprocessing time for sampling: 0.2927730083465576
amortized time for sample size  310 is:  0.0003169088209829023
preprocessing time for sampling: 0.29285311698913574
amortized time for sample size  320 is:  0.00031631930917501455
preprocessing time for sampling: 0.29447293281555176
amortized time for sample size  330 is:  0.0003155426039840236
preprocessing time for sampling: 0.29316210746765137
amortized time for sample size  340 is:  0.0003158015293233535
preprocessing time for sampling: 0.29342103004455566
amortized time for sample size  350 is:  0.0003158769471304757
preprocessing time for sampling: 0.292665958404541
amortized time for sample size  360 is:  0.00031602326366636486
preprocessing time for sampling: 0.2933039665222168
amortized time for sample size  370 is:  0.00031582825248305864
preprocessing time for sampling: 0.29369115829467773
amortized time for sample size  380 is:  0.0003155342716919748
preprocessing time for sampling: 0.29201412200927734
amortized time for sample size  390 is:  0.00031770281913952943
preprocessing time for sampling: 0.29294824600219727
amortized time for sample size  400 is:  0.00031737065911293034
preprocessing time for sampling: 0.2927670478820801
amortized time for sample size  410 is:  0.00031664060964816954
preprocessing time for sampling: 0.2933688163757324
amortized time for sample size  420 is:  0.0003171174072083972
preprocessing time for sampling: 0.29614686965942383
amortized time for sample size  430 is:  0.0003152369842972867
preprocessing time for sampling: 0.29412007331848145
amortized time for sample size  440 is:  0.00031551526893268926
preprocessing time for sampling: 0.29303407669067383
amortized time for sample size  450 is:  0.00031565345128377277
preprocessing time for sampling: 0.2931962013244629
amortized time for sample size  460 is:  0.000315311742865521
preprocessing time for sampling: 0.2927391529083252
amortized time for sample size  470 is:  0.0003155604879906837
preprocessing time for sampling: 0.2921311855316162
amortized time for sample size  480 is:  0.0003157587250073751
preprocessing time for sampling: 0.29639577865600586
amortized time for sample size  490 is:  0.00031571216972506777
preprocessing time for sampling: 0.29318904876708984
amortized time for sample size  500 is:  0.0003165921306610107
beta =  0.2 

mean of accuracies: [np.float64(0.45999999999999996), np.float64(0.6), np.float64(0.55), np.float64(0.6599999999999999), np.float64(0.5599999999999999), np.float64(0.64), np.float64(0.61), np.float64(0.6599999999999999), np.float64(0.69), np.float64(0.65), np.float64(0.7000000000000001), np.float64(0.72), np.float64(0.7100000000000001), np.float64(0.76), np.float64(0.73), np.float64(0.7), np.float64(0.7), np.float64(0.71), np.float64(0.72), np.float64(0.6599999999999999), np.float64(0.7), np.float64(0.77), np.float64(0.72), np.float64(0.71), np.float64(0.7899999999999999), np.float64(0.6799999999999999), np.float64(0.78), np.float64(0.76), np.float64(0.76), np.float64(0.7), np.float64(0.7899999999999999), np.float64(0.72), np.float64(0.75), np.float64(0.75), np.float64(0.79), np.float64(0.8300000000000001), np.float64(0.8100000000000002), np.float64(0.8), np.float64(0.78), np.float64(0.7300000000000001), np.float64(0.7900000000000001), np.float64(0.8), np.float64(0.75), np.float64(0.73), np.float64(0.8099999999999999), np.float64(0.7500000000000001), np.float64(0.75), np.float64(0.82), np.float64(0.78), np.float64(0.77)] 

variance of accuracies: [np.float64(0.15620499351813308), np.float64(0.14832396974191325), np.float64(0.12041594578792293), np.float64(0.14282856857085702), np.float64(0.142828568570857), np.float64(0.12000000000000001), np.float64(0.09433981132056601), np.float64(0.06633249580710801), np.float64(0.10440306508910552), np.float64(0.1857417562100671), np.float64(0.15491933384829668), np.float64(0.12489995996796799), np.float64(0.14456832294800964), np.float64(0.12000000000000001), np.float64(0.16155494421403513), np.float64(0.18973665961010278), np.float64(0.1264911064067352), np.float64(0.15132745950421558), np.float64(0.1777638883463118), np.float64(0.16248076809271922), np.float64(0.1264911064067352), np.float64(0.09000000000000002), np.float64(0.10770329614269011), np.float64(0.15132745950421558), np.float64(0.157797338380595), np.float64(0.132664991614216), np.float64(0.17204650534085256), np.float64(0.128062484748657), np.float64(0.2154065922853802), np.float64(0.17888543819998318), np.float64(0.12206555615733705), np.float64(0.16), np.float64(0.1284523257866513), np.float64(0.15652475842498528), np.float64(0.16401219466856726), np.float64(0.11000000000000001), np.float64(0.11357816691600549), np.float64(0.11832159566199235), np.float64(0.10770329614269009), np.float64(0.17916472867168917), np.float64(0.10440306508910553), np.float64(0.10954451150103323), np.float64(0.12041594578792296), np.float64(0.13453624047073712), np.float64(0.13747727084867523), np.float64(0.13601470508735444), np.float64(0.102469507659596), np.float64(0.15362291495737215), np.float64(0.11661903789690603), np.float64(0.06403124237432853)] 

preprocessing time for sampling: 0.29306912422180176
amortized time for sample size  10 is:  0.000315650224685669
preprocessing time for sampling: 0.29262304306030273
amortized time for sample size  20 is:  0.0003152345418930054
preprocessing time for sampling: 0.29187488555908203
amortized time for sample size  30 is:  0.00031493488947550454
preprocessing time for sampling: 0.29366230964660645
amortized time for sample size  40 is:  0.00031521767377853385
preprocessing time for sampling: 0.2938830852508545
amortized time for sample size  50 is:  0.00031483039855957027
preprocessing time for sampling: 0.2935159206390381
amortized time for sample size  60 is:  0.0003155960241953532
preprocessing time for sampling: 0.2996540069580078
amortized time for sample size  70 is:  0.00031793519428798136
preprocessing time for sampling: 0.2944180965423584
amortized time for sample size  80 is:  0.0003155791759490967
preprocessing time for sampling: 0.2950160503387451
amortized time for sample size  90 is:  0.0003166592650943332
preprocessing time for sampling: 0.29397010803222656
amortized time for sample size  100 is:  0.00032138121128082273
preprocessing time for sampling: 0.3012049198150635
amortized time for sample size  110 is:  0.00031813719055869363
preprocessing time for sampling: 0.29609203338623047
amortized time for sample size  120 is:  0.0003167277971903483
preprocessing time for sampling: 0.2964489459991455
amortized time for sample size  130 is:  0.0003173052347623384
preprocessing time for sampling: 0.29443883895874023
amortized time for sample size  140 is:  0.00031682433400835304
preprocessing time for sampling: 0.2941451072692871
amortized time for sample size  150 is:  0.00031667311986287435
preprocessing time for sampling: 0.29430389404296875
amortized time for sample size  160 is:  0.00031616044044494626
preprocessing time for sampling: 0.2953050136566162
amortized time for sample size  170 is:  0.00031653390211217546
preprocessing time for sampling: 0.2938048839569092
amortized time for sample size  180 is:  0.0003166047334671021
preprocessing time for sampling: 0.2945981025695801
amortized time for sample size  190 is:  0.00031613938431990777
preprocessing time for sampling: 0.2945418357849121
amortized time for sample size  200 is:  0.00032032202482223514
preprocessing time for sampling: 0.3050260543823242
amortized time for sample size  210 is:  0.00031810839970906576
preprocessing time for sampling: 0.2937281131744385
amortized time for sample size  220 is:  0.0003310723304748535
preprocessing time for sampling: 0.31926608085632324
amortized time for sample size  230 is:  0.0003249165700829547
preprocessing time for sampling: 0.29415297508239746
amortized time for sample size  240 is:  0.00031995238860448206
preprocessing time for sampling: 0.29655003547668457
amortized time for sample size  250 is:  0.00032310971260070807
preprocessing time for sampling: 0.2979140281677246
amortized time for sample size  260 is:  0.00032431795046879695
preprocessing time for sampling: 0.3172287940979004
amortized time for sample size  270 is:  0.0003208092318640815
preprocessing time for sampling: 0.29395198822021484
amortized time for sample size  280 is:  0.00031677599464144027
preprocessing time for sampling: 0.2944309711456299
amortized time for sample size  290 is:  0.0003164174474518875
preprocessing time for sampling: 0.2947981357574463
amortized time for sample size  300 is:  0.0003165851354598999
preprocessing time for sampling: 0.29555201530456543
amortized time for sample size  310 is:  0.0003196304536634876
preprocessing time for sampling: 0.294079065322876
amortized time for sample size  320 is:  0.0003213687241077423
preprocessing time for sampling: 0.2944488525390625
amortized time for sample size  330 is:  0.0003183371009248676
preprocessing time for sampling: 0.29421114921569824
amortized time for sample size  340 is:  0.00031624529642217304
preprocessing time for sampling: 0.3033409118652344
amortized time for sample size  350 is:  0.000316073819569179
preprocessing time for sampling: 0.2953789234161377
amortized time for sample size  360 is:  0.0003161281744639078
preprocessing time for sampling: 0.2944908142089844
amortized time for sample size  370 is:  0.0003164203553586393
preprocessing time for sampling: 0.2947671413421631
amortized time for sample size  380 is:  0.000316992671866166
preprocessing time for sampling: 0.29799389839172363
amortized time for sample size  390 is:  0.00032260897832039073
preprocessing time for sampling: 0.29726600646972656
amortized time for sample size  400 is:  0.00032062025666236885
preprocessing time for sampling: 0.29560112953186035
amortized time for sample size  410 is:  0.00031729013745377706
preprocessing time for sampling: 0.2951180934906006
amortized time for sample size  420 is:  0.0003165719679423741
preprocessing time for sampling: 0.29529786109924316
amortized time for sample size  430 is:  0.00031695878782937693
preprocessing time for sampling: 0.2952437400817871
amortized time for sample size  440 is:  0.0003170755234631625
preprocessing time for sampling: 0.29512500762939453
amortized time for sample size  450 is:  0.0003215149243672689
preprocessing time for sampling: 0.29383397102355957
amortized time for sample size  460 is:  0.0003322993361431619
preprocessing time for sampling: 0.2958378791809082
amortized time for sample size  470 is:  0.00031946813806574395
preprocessing time for sampling: 0.2986476421356201
amortized time for sample size  480 is:  0.00031997849543889364
preprocessing time for sampling: 0.2963101863861084
amortized time for sample size  490 is:  0.0003183006023874089
preprocessing time for sampling: 0.29613494873046875
amortized time for sample size  500 is:  0.00031731244564056404
beta =  0.30000000000000004 

mean of accuracies: [np.float64(0.5499999999999999), np.float64(0.69), np.float64(0.74), np.float64(0.7299999999999999), np.float64(0.79), np.float64(0.78), np.float64(0.85), np.float64(0.8099999999999999), np.float64(0.77), np.float64(0.86), np.float64(0.8300000000000001), np.float64(0.89), np.float64(0.9100000000000001), np.float64(0.8400000000000001), np.float64(0.8700000000000001), np.float64(0.93), np.float64(0.89), np.float64(0.9000000000000001), np.float64(0.95), np.float64(0.86), np.float64(0.8800000000000001), np.float64(0.95), np.float64(0.9100000000000001), np.float64(0.96), np.float64(0.9000000000000001), np.float64(0.9200000000000002), np.float64(0.89), np.float64(0.93), np.float64(0.89), np.float64(0.9400000000000001), np.float64(0.9400000000000001), np.float64(0.9400000000000001), np.float64(0.95), np.float64(0.93), np.float64(0.93), np.float64(0.9400000000000001), np.float64(0.89), np.float64(0.97), np.float64(0.96), np.float64(0.9200000000000002), np.float64(0.93), np.float64(0.9800000000000001), np.float64(0.96), np.float64(0.9800000000000001), np.float64(0.93), np.float64(0.9800000000000001), np.float64(0.93), np.float64(0.96), np.float64(0.93), np.float64(0.96)] 

variance of accuracies: [np.float64(0.15000000000000002), np.float64(0.13000000000000003), np.float64(0.1854723699099141), np.float64(0.1345362404707371), np.float64(0.07000000000000003), np.float64(0.10770329614269011), np.float64(0.0921954445729289), np.float64(0.12206555615733704), np.float64(0.13453624047073712), np.float64(0.0916515138991168), np.float64(0.11000000000000001), np.float64(0.06999999999999999), np.float64(0.08306623862918074), np.float64(0.1562049935181331), np.float64(0.09), np.float64(0.06403124237432847), np.float64(0.09433981132056604), np.float64(0.07745966692414831), np.float64(0.06708203932499368), np.float64(0.0916515138991168), np.float64(0.1077032961426901), np.float64(0.06708203932499368), np.float64(0.05385164807134503), np.float64(0.06633249580710798), np.float64(0.08944271909999157), np.float64(0.059999999999999984), np.float64(0.09433981132056604), np.float64(0.08999999999999997), np.float64(0.1044030650891055), np.float64(0.09165151389911681), np.float64(0.06633249580710798), np.float64(0.06633249580710798), np.float64(0.06708203932499368), np.float64(0.06403124237432847), np.float64(0.07810249675906653), np.float64(0.07999999999999999), np.float64(0.08306623862918074), np.float64(0.04582575694955839), np.float64(0.06633249580710798), np.float64(0.08717797887081345), np.float64(0.06403124237432847), np.float64(0.039999999999999994), np.float64(0.04898979485566355), np.float64(0.039999999999999994), np.float64(0.06403124237432847), np.float64(0.039999999999999994), np.float64(0.04582575694955839), np.float64(0.04898979485566355), np.float64(0.045825756949558386), np.float64(0.04898979485566356)] 

preprocessing time for sampling: 0.29444313049316406
amortized time for sample size  10 is:  0.00031607341766357424
preprocessing time for sampling: 0.294389009475708
amortized time for sample size  20 is:  0.0003164758682250976
preprocessing time for sampling: 0.29387593269348145
amortized time for sample size  30 is:  0.00031617283821105957
preprocessing time for sampling: 0.29425597190856934
amortized time for sample size  40 is:  0.00031896805763244633
preprocessing time for sampling: 0.3025238513946533
amortized time for sample size  50 is:  0.000315673017501831
preprocessing time for sampling: 0.2941720485687256
amortized time for sample size  60 is:  0.0003158777952194214
preprocessing time for sampling: 0.29499077796936035
amortized time for sample size  70 is:  0.0003158999511173793
preprocessing time for sampling: 0.294435977935791
amortized time for sample size  80 is:  0.0003160809576511383
preprocessing time for sampling: 0.29450511932373047
amortized time for sample size  90 is:  0.000316184679667155
preprocessing time for sampling: 0.2946779727935791
amortized time for sample size  100 is:  0.00031578643321990974
preprocessing time for sampling: 0.2951500415802002
amortized time for sample size  110 is:  0.0003165850205854936
preprocessing time for sampling: 0.2960541248321533
amortized time for sample size  120 is:  0.00032604688405990604
preprocessing time for sampling: 0.30394911766052246
amortized time for sample size  130 is:  0.00032703711436345026
preprocessing time for sampling: 0.29523205757141113
amortized time for sample size  140 is:  0.0003167565550122942
preprocessing time for sampling: 0.29520106315612793
amortized time for sample size  150 is:  0.00032336295445760095
preprocessing time for sampling: 0.2987039089202881
amortized time for sample size  160 is:  0.00031864568591117865
preprocessing time for sampling: 0.2952101230621338
amortized time for sample size  170 is:  0.00031996300641228166
preprocessing time for sampling: 0.2958552837371826
amortized time for sample size  180 is:  0.0003187026977539063
preprocessing time for sampling: 0.29532384872436523
amortized time for sample size  190 is:  0.00031826256450853853
preprocessing time for sampling: 0.29549193382263184
amortized time for sample size  200 is:  0.0003220728039741516
preprocessing time for sampling: 0.2955441474914551
amortized time for sample size  210 is:  0.00032760758627028687
preprocessing time for sampling: 0.30095601081848145
amortized time for sample size  220 is:  0.0003199935284527865
preprocessing time for sampling: 0.2946960926055908
amortized time for sample size  230 is:  0.0003157149708789328
preprocessing time for sampling: 0.29543399810791016
amortized time for sample size  240 is:  0.0003224330445130665
preprocessing time for sampling: 0.2946288585662842
amortized time for sample size  250 is:  0.0003161338996887206
preprocessing time for sampling: 0.2973909378051758
amortized time for sample size  260 is:  0.00031973340878119834
preprocessing time for sampling: 0.30849361419677734
amortized time for sample size  270 is:  0.0003199068263724998
preprocessing time for sampling: 0.29555511474609375
amortized time for sample size  280 is:  0.00031491706201008387
preprocessing time for sampling: 0.295943021774292
amortized time for sample size  290 is:  0.0003165465716657967
preprocessing time for sampling: 0.29653406143188477
amortized time for sample size  300 is:  0.00031781911849975585
preprocessing time for sampling: 0.29409193992614746
amortized time for sample size  310 is:  0.0003153054944930538
preprocessing time for sampling: 0.2954838275909424
amortized time for sample size  320 is:  0.00031608149409294127
preprocessing time for sampling: 0.29480910301208496
amortized time for sample size  330 is:  0.000317845395117095
preprocessing time for sampling: 0.29691600799560547
amortized time for sample size  340 is:  0.0003158619544085334
preprocessing time for sampling: 0.29454517364501953
amortized time for sample size  350 is:  0.00031541696275983535
preprocessing time for sampling: 0.29470300674438477
amortized time for sample size  360 is:  0.00031492335266537135
preprocessing time for sampling: 0.29718804359436035
amortized time for sample size  370 is:  0.0003163483722789867
preprocessing time for sampling: 0.29462099075317383
amortized time for sample size  380 is:  0.0003150243382704885
preprocessing time for sampling: 0.29406094551086426
amortized time for sample size  390 is:  0.00031613159179687505
preprocessing time for sampling: 0.29588794708251953
amortized time for sample size  400 is:  0.00032370116114616393
preprocessing time for sampling: 0.29459095001220703
amortized time for sample size  410 is:  0.00032075704016336576
preprocessing time for sampling: 0.2947249412536621
amortized time for sample size  420 is:  0.0003175640957696097
preprocessing time for sampling: 0.2942233085632324
amortized time for sample size  430 is:  0.0003196170551832332
preprocessing time for sampling: 0.2946648597717285
amortized time for sample size  440 is:  0.0003158471475947987
preprocessing time for sampling: 0.2955458164215088
amortized time for sample size  450 is:  0.0003169971677992079
preprocessing time for sampling: 0.29568910598754883
amortized time for sample size  460 is:  0.0003180699607600337
preprocessing time for sampling: 0.29409098625183105
amortized time for sample size  470 is:  0.00031641381852170255
preprocessing time for sampling: 0.30678582191467285
amortized time for sample size  480 is:  0.00031889570752779636
preprocessing time for sampling: 0.2959730625152588
amortized time for sample size  490 is:  0.00031733557642722623
preprocessing time for sampling: 0.29465508460998535
amortized time for sample size  500 is:  0.0003173819255828857
beta =  0.4 

mean of accuracies: [np.float64(0.63), np.float64(0.73), np.float64(0.8300000000000001), np.float64(0.8300000000000001), np.float64(0.8400000000000001), np.float64(0.89), np.float64(0.95), np.float64(0.9400000000000001), np.float64(0.9400000000000001), np.float64(0.9400000000000001), np.float64(0.9400000000000001), np.float64(0.93), np.float64(0.93), np.float64(0.9800000000000001), np.float64(0.9800000000000001), np.float64(0.95), np.float64(0.97), np.float64(0.9800000000000001), np.float64(1.0), np.float64(0.9800000000000001), np.float64(0.99), np.float64(0.99), np.float64(0.9800000000000001), np.float64(0.99), np.float64(1.0), np.float64(0.97), np.float64(0.97), 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(0.9700000000000001), np.float64(0.99), np.float64(0.99), np.float64(1.0), np.float64(1.0), np.float64(0.99), 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(1.0), np.float64(0.99), np.float64(0.99), np.float64(1.0)] 

variance of accuracies: [np.float64(0.11874342087037916), np.float64(0.13453624047073712), np.float64(0.11000000000000001), np.float64(0.16155494421403513), np.float64(0.09165151389911681), np.float64(0.06999999999999999), np.float64(0.04999999999999999), np.float64(0.06633249580710798), np.float64(0.04898979485566354), np.float64(0.04898979485566355), np.float64(0.07999999999999999), np.float64(0.06403124237432847), np.float64(0.06403124237432847), np.float64(0.039999999999999994), np.float64(0.039999999999999994), np.float64(0.06708203932499368), np.float64(0.045825756949558386), np.float64(0.039999999999999994), np.float64(0.0), np.float64(0.039999999999999994), np.float64(0.029999999999999992), np.float64(0.029999999999999992), np.float64(0.039999999999999994), np.float64(0.029999999999999992), np.float64(0.0), np.float64(0.04582575694955839), np.float64(0.04582575694955839), np.float64(0.039999999999999994), np.float64(0.0), np.float64(0.029999999999999992), np.float64(0.059999999999999984), np.float64(0.0), np.float64(0.029999999999999992), np.float64(0.06403124237432847), np.float64(0.029999999999999992), np.float64(0.029999999999999992), np.float64(0.0), np.float64(0.0), np.float64(0.029999999999999992), 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(0.0), np.float64(0.029999999999999992), np.float64(0.029999999999999992), np.float64(0.0)] 

preprocessing time for sampling: 0.2946512699127197
amortized time for sample size  10 is:  0.0003179757595062256
preprocessing time for sampling: 0.2988159656524658
amortized time for sample size  20 is:  0.00031875562667846676
preprocessing time for sampling: 0.31359100341796875
amortized time for sample size  30 is:  0.00032587146759033194
preprocessing time for sampling: 0.2965879440307617
amortized time for sample size  40 is:  0.00031786572933197016
preprocessing time for sampling: 0.29450392723083496
amortized time for sample size  50 is:  0.00032282457351684565
preprocessing time for sampling: 0.3019998073577881
amortized time for sample size  60 is:  0.0003168739875157674
preprocessing time for sampling: 0.30306220054626465
amortized time for sample size  70 is:  0.0003176073346819197
preprocessing time for sampling: 0.29732203483581543
amortized time for sample size  80 is:  0.0003189612030982971
preprocessing time for sampling: 0.2953650951385498
amortized time for sample size  90 is:  0.0003242219554053412
preprocessing time for sampling: 0.2941749095916748
amortized time for sample size  100 is:  0.0003154977321624756
preprocessing time for sampling: 0.29357004165649414
amortized time for sample size  110 is:  0.00031629421494223855
preprocessing time for sampling: 0.2938268184661865
amortized time for sample size  120 is:  0.00031758499145507807
preprocessing time for sampling: 0.29669690132141113
amortized time for sample size  130 is:  0.00031905412673950196
preprocessing time for sampling: 0.29511189460754395
amortized time for sample size  140 is:  0.00031724362713950025
preprocessing time for sampling: 0.2948780059814453
amortized time for sample size  150 is:  0.00032004114786783855
preprocessing time for sampling: 0.3027617931365967
amortized time for sample size  160 is:  0.000319700613617897
preprocessing time for sampling: 0.31222987174987793
amortized time for sample size  170 is:  0.0003195625473471249
preprocessing time for sampling: 0.3004190921783447
amortized time for sample size  180 is:  0.00031997770733303496
preprocessing time for sampling: 0.2948882579803467
amortized time for sample size  190 is:  0.00032012792637473654
preprocessing time for sampling: 0.3025050163269043
amortized time for sample size  200 is:  0.000326154363155365
preprocessing time for sampling: 0.2952761650085449
amortized time for sample size  210 is:  0.0003205040068853469
preprocessing time for sampling: 0.30556392669677734
amortized time for sample size  220 is:  0.0003201060945337468
preprocessing time for sampling: 0.2981088161468506
amortized time for sample size  230 is:  0.0003194380843121072
preprocessing time for sampling: 0.2935459613800049
amortized time for sample size  240 is:  0.0003196447392304739
preprocessing time for sampling: 0.296673059463501
amortized time for sample size  250 is:  0.0003158656120300293
preprocessing time for sampling: 0.2937939167022705
amortized time for sample size  260 is:  0.00031591313618880055
preprocessing time for sampling: 0.29447317123413086
amortized time for sample size  270 is:  0.0003170866613034849
preprocessing time for sampling: 0.29489994049072266
amortized time for sample size  280 is:  0.00031640374660491937
preprocessing time for sampling: 0.2979869842529297
amortized time for sample size  290 is:  0.00031880569458007805
preprocessing time for sampling: 0.30219101905822754
amortized time for sample size  300 is:  0.0003173642953236898
preprocessing time for sampling: 0.29434895515441895
amortized time for sample size  310 is:  0.0003169888988617928
preprocessing time for sampling: 0.2971489429473877
amortized time for sample size  320 is:  0.0003213887214660645
preprocessing time for sampling: 0.2937448024749756
amortized time for sample size  330 is:  0.0003164943998510188
preprocessing time for sampling: 0.296079158782959
amortized time for sample size  340 is:  0.0003200304718578563
preprocessing time for sampling: 0.29855990409851074
amortized time for sample size  350 is:  0.00031795802116394036
preprocessing time for sampling: 0.29550909996032715
amortized time for sample size  360 is:  0.0003158497081862555
preprocessing time for sampling: 0.29361891746520996
amortized time for sample size  370 is:  0.00031783555005047775
preprocessing time for sampling: 0.299727201461792
amortized time for sample size  380 is:  0.0003233504169865659
preprocessing time for sampling: 0.2936079502105713
amortized time for sample size  390 is:  0.00031796775108728655
preprocessing time for sampling: 0.29573512077331543
amortized time for sample size  400 is:  0.0003192655146121978
preprocessing time for sampling: 0.29347825050354004
amortized time for sample size  410 is:  0.0003188934965831477
preprocessing time for sampling: 0.2941617965698242
amortized time for sample size  420 is:  0.0003177310228347778
preprocessing time for sampling: 0.29737401008605957
amortized time for sample size  430 is:  0.00033113019965415774
preprocessing time for sampling: 0.3800511360168457
amortized time for sample size  440 is:  0.00040795170718973335
preprocessing time for sampling: 0.38022828102111816
amortized time for sample size  450 is:  0.022202251360151505
preprocessing time for sampling: 0.3801229000091553
amortized time for sample size  460 is:  0.04360209938235906
preprocessing time for sampling: 0.38106203079223633
amortized time for sample size  470 is:  0.020341042746888832
preprocessing time for sampling: 0.38730597496032715
amortized time for sample size  480 is:  0.00042124480505784356
preprocessing time for sampling: 0.3939371109008789
amortized time for sample size  490 is:  0.0004123886507384631
preprocessing time for sampling: 0.3801112174987793
amortized time for sample size  500 is:  0.0004084436702728272
beta =  0.5 

mean of accuracies: [np.float64(0.8700000000000001), np.float64(0.8200000000000001), np.float64(0.9100000000000001), np.float64(0.8800000000000001), np.float64(0.95), np.float64(0.96), np.float64(0.93), np.float64(0.9800000000000001), np.float64(0.9800000000000001), np.float64(0.93), np.float64(0.99), 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(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)] 

variance of accuracies: [np.float64(0.11000000000000001), np.float64(0.1469693845669907), np.float64(0.08306623862918074), np.float64(0.13999999999999999), np.float64(0.04999999999999999), np.float64(0.04898979485566356), np.float64(0.06403124237432847), np.float64(0.059999999999999984), np.float64(0.039999999999999994), np.float64(0.06403124237432847), np.float64(0.029999999999999992), np.float64(0.029999999999999992), np.float64(0.029999999999999992), np.float64(0.06403124237432847), 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(0.029999999999999992), 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)] 

preprocessing time for sampling: 0.378875732421875
amortized time for sample size  10 is:  0.00040663886070251476
preprocessing time for sampling: 0.37920594215393066
amortized time for sample size  20 is:  0.00040672302246093757
preprocessing time for sampling: 0.3788900375366211
amortized time for sample size  30 is:  0.00040694967905680334
preprocessing time for sampling: 0.37901902198791504
amortized time for sample size  40 is:  0.0004066324830055237
preprocessing time for sampling: 0.37920689582824707
amortized time for sample size  50 is:  0.00040841050148010245
preprocessing time for sampling: 0.3791358470916748
amortized time for sample size  60 is:  0.00040730257829030357
preprocessing time for sampling: 0.3796839714050293
amortized time for sample size  70 is:  0.00040795074190412236
preprocessing time for sampling: 0.37966108322143555
amortized time for sample size  80 is:  0.00040858596563339236
preprocessing time for sampling: 0.37936997413635254
amortized time for sample size  90 is:  0.0004075325065188937
preprocessing time for sampling: 0.3792848587036133
amortized time for sample size  100 is:  0.0004069777011871337
preprocessing time for sampling: 0.3804891109466553
amortized time for sample size  110 is:  0.0004093278971585361
preprocessing time for sampling: 0.37844300270080566
amortized time for sample size  120 is:  0.00040932796398798635
preprocessing time for sampling: 0.3853907585144043
amortized time for sample size  130 is:  0.00040790666066683253
preprocessing time for sampling: 0.38327908515930176
amortized time for sample size  140 is:  0.0004091914892196655
preprocessing time for sampling: 0.37987613677978516
amortized time for sample size  150 is:  0.0004081501324971517
preprocessing time for sampling: 0.38019609451293945
amortized time for sample size  160 is:  0.00040837153792381295
preprocessing time for sampling: 0.38135409355163574
amortized time for sample size  170 is:  0.0004083964123445398
preprocessing time for sampling: 0.3799858093261719
amortized time for sample size  180 is:  0.0004085331492953831
preprocessing time for sampling: 0.38074278831481934
amortized time for sample size  190 is:  0.00040853172854373327
preprocessing time for sampling: 0.37985777854919434
amortized time for sample size  200 is:  0.0035066574811935423
preprocessing time for sampling: 0.3807859420776367
amortized time for sample size  210 is:  0.0004133221989586239
preprocessing time for sampling: 0.38149189949035645
amortized time for sample size  220 is:  0.00041592512347481467
preprocessing time for sampling: 0.3908553123474121
amortized time for sample size  230 is:  0.0004098310263260551
preprocessing time for sampling: 0.3803532123565674
amortized time for sample size  240 is:  0.000408476064602534
preprocessing time for sampling: 0.379608154296875
amortized time for sample size  250 is:  0.00040866569519042975
preprocessing time for sampling: 0.38190793991088867
amortized time for sample size  260 is:  0.0004081559181213379
preprocessing time for sampling: 0.38028788566589355
amortized time for sample size  270 is:  0.00040779719529328523
preprocessing time for sampling: 0.3796720504760742
amortized time for sample size  280 is:  0.0004080663919448853
preprocessing time for sampling: 0.37940096855163574
amortized time for sample size  290 is:  0.0004154058818159433
preprocessing time for sampling: 0.38330078125
amortized time for sample size  300 is:  0.0004152835130691529
preprocessing time for sampling: 0.3857588768005371
amortized time for sample size  310 is:  0.00041494541014394453
preprocessing time for sampling: 0.3852212429046631
amortized time for sample size  320 is:  0.0004229635521769524
preprocessing time for sampling: 0.3885350227355957
amortized time for sample size  330 is:  0.0004245155218875769
preprocessing time for sampling: 0.3840470314025879
amortized time for sample size  340 is:  0.00041708996716667627
preprocessing time for sampling: 0.38582777976989746
amortized time for sample size  350 is:  0.0004189494132995605
preprocessing time for sampling: 0.3859591484069824
amortized time for sample size  360 is:  0.00041403953896628496
preprocessing time for sampling: 0.3857231140136719
amortized time for sample size  370 is:  0.00041509398898562864
preprocessing time for sampling: 0.3848881721496582
amortized time for sample size  380 is:  0.00041324380824440406
preprocessing time for sampling: 0.38558220863342285
amortized time for sample size  390 is:  0.00041330512364705406
preprocessing time for sampling: 0.38476109504699707
amortized time for sample size  400 is:  0.00041397614479064945
preprocessing time for sampling: 0.38538122177124023
amortized time for sample size  410 is:  0.000420840594826675
preprocessing time for sampling: 0.38468122482299805
amortized time for sample size  420 is:  0.00041574882325671976
preprocessing time for sampling: 0.387526273727417
amortized time for sample size  430 is:  0.00041315574978673184
preprocessing time for sampling: 0.38634419441223145
amortized time for sample size  440 is:  0.00041276291283694183
preprocessing time for sampling: 0.38287901878356934
amortized time for sample size  450 is:  0.0004144784026675753
preprocessing time for sampling: 0.38475584983825684
amortized time for sample size  460 is:  0.0004184715955153757
preprocessing time for sampling: 0.3881988525390625
amortized time for sample size  470 is:  0.00041815108441291965
preprocessing time for sampling: 0.3877739906311035
amortized time for sample size  480 is:  0.00041706439852714534
preprocessing time for sampling: 0.3859679698944092
amortized time for sample size  490 is:  0.00041304845226054293
preprocessing time for sampling: 0.38491201400756836
amortized time for sample size  500 is:  0.0004130912113189697
beta =  0.6000000000000001 

mean of accuracies: [np.float64(0.78), np.float64(0.93), np.float64(0.9200000000000002), np.float64(0.96), np.float64(0.9800000000000001), 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(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)] 

variance of accuracies: [np.float64(0.12489995996796799), np.float64(0.1004987562112089), np.float64(0.0748331477354788), np.float64(0.04898979485566355), np.float64(0.05999999999999999), np.float64(0.06403124237432847), np.float64(0.0), np.float64(0.05999999999999999), 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(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(0.0), 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: 0.38547205924987793
amortized time for sample size  10 is:  0.0004156250953674317
preprocessing time for sampling: 0.3857898712158203
amortized time for sample size  20 is:  0.0004104846715927124
preprocessing time for sampling: 0.382479190826416
amortized time for sample size  30 is:  0.0004152894020080566
preprocessing time for sampling: 0.3858358860015869
amortized time for sample size  40 is:  0.00040992683172225955
preprocessing time for sampling: 0.3802299499511719
amortized time for sample size  50 is:  0.0004084342002868652
preprocessing time for sampling: 0.3804030418395996
amortized time for sample size  60 is:  0.0004085602362950642
preprocessing time for sampling: 0.37993288040161133
amortized time for sample size  70 is:  0.00040783235004969995
preprocessing time for sampling: 0.3800680637359619
amortized time for sample size  80 is:  0.00040647470951080323
preprocessing time for sampling: 0.38035106658935547
amortized time for sample size  90 is:  0.0004072778489854601
preprocessing time for sampling: 0.37977004051208496
amortized time for sample size  100 is:  0.00040789351463317873
preprocessing time for sampling: 0.389117956161499
amortized time for sample size  110 is:  0.00040773814374750315
preprocessing time for sampling: 0.38199400901794434
amortized time for sample size  120 is:  0.0004080651005109151
preprocessing time for sampling: 0.3818669319152832
amortized time for sample size  130 is:  0.00040736251610976
preprocessing time for sampling: 0.38016510009765625
amortized time for sample size  140 is:  0.00040770404679434645
preprocessing time for sampling: 0.3796370029449463
amortized time for sample size  150 is:  0.000407898743947347
preprocessing time for sampling: 0.37983202934265137
amortized time for sample size  160 is:  0.0004081602245569229
preprocessing time for sampling: 0.3802008628845215
amortized time for sample size  170 is:  0.0004088364208445829
preprocessing time for sampling: 0.3798351287841797
amortized time for sample size  180 is:  0.000407346937391493
preprocessing time for sampling: 0.38001585006713867
amortized time for sample size  190 is:  0.00040724177109567746
preprocessing time for sampling: 0.38074517250061035
amortized time for sample size  200 is:  0.00040764040946960457
preprocessing time for sampling: 0.37987494468688965
amortized time for sample size  210 is:  0.00040829791341509135
preprocessing time for sampling: 0.3803730010986328
amortized time for sample size  220 is:  0.0004072340943596579
preprocessing time for sampling: 0.3793511390686035
amortized time for sample size  230 is:  0.0004078057330587636
preprocessing time for sampling: 0.3806638717651367
amortized time for sample size  240 is:  0.04151038463910421
preprocessing time for sampling: 0.38153791427612305
amortized time for sample size  250 is:  0.039137426948547376
preprocessing time for sampling: 0.3809061050415039
amortized time for sample size  260 is:  0.005591778030762302
preprocessing time for sampling: 0.37987565994262695
amortized time for sample size  270 is:  0.03982207371570445
preprocessing time for sampling: 1035.8686940670013
amortized time for sample size  280 is:  0.0004082444735935756
preprocessing time for sampling: 0.381176233291626
amortized time for sample size  290 is:  0.014487912432900788
preprocessing time for sampling: 0.37975597381591797
amortized time for sample size  300 is:  0.0004154728730519612
preprocessing time for sampling: 0.3913600444793701
amortized time for sample size  310 is:  0.00040886005278556567
preprocessing time for sampling: 0.3841879367828369
amortized time for sample size  320 is:  0.000412267304956913
preprocessing time for sampling: 0.3810911178588867
amortized time for sample size  330 is:  0.0004219120199030095
preprocessing time for sampling: 0.3842477798461914
amortized time for sample size  340 is:  0.000410159945487976
preprocessing time for sampling: 0.3797881603240967
amortized time for sample size  350 is:  0.0004152859142848424
preprocessing time for sampling: 0.3854939937591553
amortized time for sample size  360 is:  0.00041074277295006644
preprocessing time for sampling: 0.3828270435333252
amortized time for sample size  370 is:  0.000409721548492844
preprocessing time for sampling: 0.37993407249450684
amortized time for sample size  380 is:  0.0004089120061774002
preprocessing time for sampling: 0.3859682083129883
amortized time for sample size  390 is:  0.000412279025102273
preprocessing time for sampling: 0.38533687591552734
amortized time for sample size  400 is:  0.00041616902351379397
preprocessing time for sampling: 0.37994813919067383
amortized time for sample size  410 is:  0.0004095634251106077
preprocessing time for sampling: 0.4043550491333008
amortized time for sample size  420 is:  0.00041102021081107
preprocessing time for sampling: 0.3805692195892334
amortized time for sample size  430 is:  0.0004092681463374648
preprocessing time for sampling: 0.3800220489501953
amortized time for sample size  440 is:  0.0004085826657035134
preprocessing time for sampling: 0.3792390823364258
amortized time for sample size  450 is:  0.00041257413758171926
preprocessing time for sampling: 0.384350061416626
amortized time for sample size  460 is:  0.0004167778440143751
preprocessing time for sampling: 0.3797643184661865
amortized time for sample size  470 is:  0.0004098672714639218
preprocessing time for sampling: 0.38414502143859863
amortized time for sample size  480 is:  0.000422601580619812
preprocessing time for sampling: 0.413254976272583
amortized time for sample size  490 is:  0.0004139957184694252
preprocessing time for sampling: 0.38041090965270996
amortized time for sample size  500 is:  0.00040871315002441406
beta =  0.7000000000000001 

mean of accuracies: [np.float64(0.89), np.float64(0.93), np.float64(0.95), 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(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0), 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(0.08306623862918074), np.float64(0.1004987562112089), np.float64(0.06708203932499368), np.float64(0.06403124237432847), 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)] 

preprocessing time for sampling: 0.3801097869873047
amortized time for sample size  10 is:  0.0004080326557159423
preprocessing time for sampling: 0.37964725494384766
amortized time for sample size  20 is:  0.00040869605541229254
preprocessing time for sampling: 0.37966489791870117
amortized time for sample size  30 is:  0.000408457358678182
preprocessing time for sampling: 0.38663673400878906
amortized time for sample size  40 is:  0.0004083397984504699
preprocessing time for sampling: 0.37990808486938477
amortized time for sample size  50 is:  0.00040764813423156736
preprocessing time for sampling: 0.380389928817749
amortized time for sample size  60 is:  0.0004067811568578085
preprocessing time for sampling: 0.3799901008605957
amortized time for sample size  70 is:  0.00040793899127415244
preprocessing time for sampling: 0.3799920082092285
amortized time for sample size  80 is:  0.0004074409008026123
preprocessing time for sampling: 0.37981104850769043
amortized time for sample size  90 is:  0.0004086850219302707
preprocessing time for sampling: 0.38092803955078125
amortized time for sample size  100 is:  0.0004090625047683716
preprocessing time for sampling: 0.3801910877227783
amortized time for sample size  110 is:  0.0004075221581892533
preprocessing time for sampling: 0.3819410800933838
amortized time for sample size  120 is:  0.0004086192051569621
preprocessing time for sampling: 0.3822441101074219
amortized time for sample size  130 is:  0.0004079130062690148
preprocessing time for sampling: 0.38011693954467773
amortized time for sample size  140 is:  0.0004085855994905744
preprocessing time for sampling: 0.38024020195007324
amortized time for sample size  150 is:  0.00040977032979329435
preprocessing time for sampling: 0.38033628463745117
amortized time for sample size  160 is:  0.00040797352790832524
preprocessing time for sampling: 0.3799901008605957
amortized time for sample size  170 is:  0.00040830016136169436
preprocessing time for sampling: 0.38005805015563965
amortized time for sample size  180 is:  0.0004090664519204034
preprocessing time for sampling: 0.3794989585876465
amortized time for sample size  190 is:  0.0004099742864307605
preprocessing time for sampling: 0.3815879821777344
amortized time for sample size  200 is:  0.0034164253473281865
preprocessing time for sampling: 0.3797881603240967
amortized time for sample size  210 is:  0.0004082052140008835
preprocessing time for sampling: 0.3812732696533203
amortized time for sample size  220 is:  0.0004081236124038697
preprocessing time for sampling: 0.38104915618896484
amortized time for sample size  230 is:  0.00040853822749593974
preprocessing time for sampling: 0.38041114807128906
amortized time for sample size  240 is:  0.000407393346230189
preprocessing time for sampling: 0.3884921073913574
amortized time for sample size  250 is:  0.00040804389953613283
preprocessing time for sampling: 0.3879098892211914
amortized time for sample size  260 is:  0.00040774153746091403
preprocessing time for sampling: 0.3798348903656006
amortized time for sample size  270 is:  0.00040713337615684233
preprocessing time for sampling: 0.38076114654541016
amortized time for sample size  280 is:  0.03520762199163438
preprocessing time for sampling: 0.3838670253753662
amortized time for sample size  290 is:  0.0004137871512051286
preprocessing time for sampling: 0.387814998626709
amortized time for sample size  300 is:  0.00041097031434377034
preprocessing time for sampling: 0.3844747543334961
amortized time for sample size  310 is:  0.000414435378966793
preprocessing time for sampling: 0.40007591247558594
amortized time for sample size  320 is:  0.0004103461802005768
preprocessing time for sampling: 0.38703298568725586
amortized time for sample size  330 is:  0.0004187139670054118
preprocessing time for sampling: 0.45642805099487305
amortized time for sample size  340 is:  0.0004106699789271635
preprocessing time for sampling: 0.380018949508667
amortized time for sample size  350 is:  0.00041302370343889507
preprocessing time for sampling: 0.3931140899658203
amortized time for sample size  360 is:  0.0004261462291081746
preprocessing time for sampling: 0.39583587646484375
amortized time for sample size  370 is:  0.0004178512225279937
preprocessing time for sampling: 0.38060593605041504
amortized time for sample size  380 is:  0.0004103249562414069
preprocessing time for sampling: 0.3844149112701416
amortized time for sample size  390 is:  0.0004115485472556873
preprocessing time for sampling: 0.3827509880065918
amortized time for sample size  400 is:  0.0004132430315017699
preprocessing time for sampling: 0.3926219940185547
amortized time for sample size  410 is:  0.00041733444609293126
preprocessing time for sampling: 0.4093501567840576
amortized time for sample size  420 is:  0.0004201273747852871
preprocessing time for sampling: 0.38845086097717285
amortized time for sample size  430 is:  0.0004085853765177173
preprocessing time for sampling: 0.38036489486694336
amortized time for sample size  440 is:  0.00040818214958364304
preprocessing time for sampling: 0.3807358741760254
amortized time for sample size  450 is:  0.0004090380244784885
preprocessing time for sampling: 0.3823068141937256
amortized time for sample size  460 is:  0.00040957338913627295
preprocessing time for sampling: 0.3912808895111084
amortized time for sample size  470 is:  0.0004085048310300137
preprocessing time for sampling: 0.38027405738830566
amortized time for sample size  480 is:  0.0003999527245759964
preprocessing time for sampling: 0.29091835021972656
amortized time for sample size  490 is:  0.00031058574695976406
preprocessing time for sampling: 0.2883749008178711
amortized time for sample size  500 is:  0.00031004994869232176
beta =  0.8 

mean of accuracies: [np.float64(0.89), np.float64(0.96), np.float64(0.97), 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)] 

variance of accuracies: [np.float64(0.11357816691600547), np.float64(0.06633249580710798), np.float64(0.04582575694955839), 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)] 

preprocessing time for sampling: 0.2874479293823242
amortized time for sample size  10 is:  0.0003085632324218749
preprocessing time for sampling: 0.28775620460510254
amortized time for sample size  20 is:  0.00030882155895233155
preprocessing time for sampling: 0.2874140739440918
amortized time for sample size  30 is:  0.0003087624708811442
preprocessing time for sampling: 0.2874927520751953
amortized time for sample size  40 is:  0.0003087460398674011
preprocessing time for sampling: 0.28772401809692383
amortized time for sample size  50 is:  0.0003085811614990234
preprocessing time for sampling: 0.2874140739440918
amortized time for sample size  60 is:  0.0003085935115814209
preprocessing time for sampling: 0.2877662181854248
amortized time for sample size  70 is:  0.0003096887043544224
preprocessing time for sampling: 0.2891979217529297
amortized time for sample size  80 is:  0.00030930668115615846
preprocessing time for sampling: 0.28861308097839355
amortized time for sample size  90 is:  0.000308657169342041
preprocessing time for sampling: 0.28766798973083496
amortized time for sample size  100 is:  0.0003108529329299926
preprocessing time for sampling: 0.28797006607055664
amortized time for sample size  110 is:  0.00030999597636136136
preprocessing time for sampling: 0.28744983673095703
amortized time for sample size  120 is:  0.00031033955017725626
preprocessing time for sampling: 0.28960490226745605
amortized time for sample size  130 is:  0.0003092918946192815
preprocessing time for sampling: 0.2881960868835449
amortized time for sample size  140 is:  0.0003095615931919643
preprocessing time for sampling: 0.2881138324737549
amortized time for sample size  150 is:  0.0003097379525502523
preprocessing time for sampling: 0.2940380573272705
amortized time for sample size  160 is:  0.00030900205671787265
preprocessing time for sampling: 0.28775811195373535
amortized time for sample size  170 is:  0.0003094754359301399
preprocessing time for sampling: 0.28801417350769043
amortized time for sample size  180 is:  0.00030931590663062203
preprocessing time for sampling: 0.3015882968902588
amortized time for sample size  190 is:  0.00030972084246183693
preprocessing time for sampling: 0.29070210456848145
amortized time for sample size  200 is:  0.00030905263423919673
preprocessing time for sampling: 0.2889218330383301
amortized time for sample size  210 is:  0.0003099335148220971
preprocessing time for sampling: 0.2895219326019287
amortized time for sample size  220 is:  0.0003099755373868075
preprocessing time for sampling: 0.28780221939086914
amortized time for sample size  230 is:  0.00031006521764008894
preprocessing time for sampling: 0.2881908416748047
amortized time for sample size  240 is:  0.00030939226349194844
preprocessing time for sampling: 0.2879500389099121
amortized time for sample size  250 is:  0.000314164628982544
preprocessing time for sampling: 0.29526185989379883
amortized time for sample size  260 is:  0.0003119522608243502
preprocessing time for sampling: 0.2877817153930664
amortized time for sample size  270 is:  0.00030934541313736523
preprocessing time for sampling: 0.2878098487854004
amortized time for sample size  280 is:  0.0003088622263499669
preprocessing time for sampling: 0.28840088844299316
amortized time for sample size  290 is:  0.0003097367533322038
preprocessing time for sampling: 0.29180288314819336
amortized time for sample size  300 is:  0.00031441046396891276
preprocessing time for sampling: 0.2881050109863281
amortized time for sample size  310 is:  0.00031118546762774063
preprocessing time for sampling: 0.2920811176300049
amortized time for sample size  320 is:  0.0003125685453414917
preprocessing time for sampling: 0.28836679458618164
amortized time for sample size  330 is:  0.0003119914314963601
preprocessing time for sampling: 0.2885010242462158
amortized time for sample size  340 is:  0.0003126869973014383
preprocessing time for sampling: 0.28852081298828125
amortized time for sample size  350 is:  0.0003147139549255371
preprocessing time for sampling: 0.29108405113220215
amortized time for sample size  360 is:  0.0003149378697077433
preprocessing time for sampling: 0.29378199577331543
amortized time for sample size  370 is:  0.00031494255323667784
preprocessing time for sampling: 0.29423093795776367
amortized time for sample size  380 is:  0.0003150032445004112
preprocessing time for sampling: 0.2942390441894531
amortized time for sample size  390 is:  0.0003156533302404942
preprocessing time for sampling: 0.2940387725830078
amortized time for sample size  400 is:  0.0003154906392097473
preprocessing time for sampling: 0.29384279251098633
amortized time for sample size  410 is:  0.00031551727434483973
preprocessing time for sampling: 0.29388976097106934
amortized time for sample size  420 is:  0.00031531719366709393
preprocessing time for sampling: 0.29314684867858887
amortized time for sample size  430 is:  0.00031601013139236805
preprocessing time for sampling: 0.2982912063598633
amortized time for sample size  440 is:  0.0003152206377549605
preprocessing time for sampling: 0.29436731338500977
amortized time for sample size  450 is:  0.00031529664993286134
preprocessing time for sampling: 0.29312705993652344
amortized time for sample size  460 is:  0.000314587370209072
preprocessing time for sampling: 0.29601621627807617
amortized time for sample size  470 is:  0.00031547861910880877
preprocessing time for sampling: 0.30199122428894043
amortized time for sample size  480 is:  0.00031505222121874495
preprocessing time for sampling: 0.2941269874572754
amortized time for sample size  490 is:  0.0003150693348475865
preprocessing time for sampling: 0.29395604133605957
amortized time for sample size  500 is:  0.0003147625827789307
beta =  0.9 

mean of accuracies: [np.float64(0.9400000000000001), 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(0.04898979485566355), 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)] 

preprocessing time for sampling: 0.29358577728271484
amortized time for sample size  10 is:  0.00031476831436157225
preprocessing time for sampling: 0.2930490970611572
amortized time for sample size  20 is:  0.00031397151947021486
preprocessing time for sampling: 0.29358696937561035
amortized time for sample size  30 is:  0.0003137991428375245
preprocessing time for sampling: 0.2935187816619873
amortized time for sample size  40 is:  0.000313892662525177
preprocessing time for sampling: 0.29328322410583496
amortized time for sample size  50 is:  0.0003142219543457031
preprocessing time for sampling: 0.2937180995941162
amortized time for sample size  60 is:  0.0003141346375147501
preprocessing time for sampling: 0.29372167587280273
amortized time for sample size  70 is:  0.00031411715916224896
preprocessing time for sampling: 0.2930598258972168
amortized time for sample size  80 is:  0.0003139119446277618
preprocessing time for sampling: 0.29356884956359863
amortized time for sample size  90 is:  0.0003149183591206868
preprocessing time for sampling: 0.29348182678222656
amortized time for sample size  100 is:  0.00031460452079772944
preprocessing time for sampling: 0.29369497299194336
amortized time for sample size  110 is:  0.0003153582269495184
preprocessing time for sampling: 0.29268503189086914
amortized time for sample size  120 is:  0.0003147367238998413
preprocessing time for sampling: 0.29503607749938965
amortized time for sample size  130 is:  0.0003150468239417443
preprocessing time for sampling: 0.2932908535003662
amortized time for sample size  140 is:  0.00031553736754826137
preprocessing time for sampling: 0.2933199405670166
amortized time for sample size  150 is:  0.0003152701218922933
preprocessing time for sampling: 0.29332518577575684
amortized time for sample size  160 is:  0.0003161285072565079
preprocessing time for sampling: 0.29388904571533203
amortized time for sample size  170 is:  0.00031550212467418
preprocessing time for sampling: 0.29370594024658203
amortized time for sample size  180 is:  0.00031562693913777666
preprocessing time for sampling: 0.29324889183044434
amortized time for sample size  190 is:  0.00031479869390788827
preprocessing time for sampling: 0.29314565658569336
amortized time for sample size  200 is:  0.0003156449794769287
preprocessing time for sampling: 0.2931058406829834
amortized time for sample size  210 is:  0.00031497168540954584
preprocessing time for sampling: 0.2934536933898926
amortized time for sample size  220 is:  0.0003149537173184481
preprocessing time for sampling: 0.2937030792236328
amortized time for sample size  230 is:  0.0003154751736184825
preprocessing time for sampling: 0.2933838367462158
amortized time for sample size  240 is:  0.0003152517875035604
preprocessing time for sampling: 0.29361605644226074
amortized time for sample size  250 is:  0.00031632256507873533
preprocessing time for sampling: 0.295712947845459
amortized time for sample size  260 is:  0.0003165598007348868
preprocessing time for sampling: 0.2957942485809326
amortized time for sample size  270 is:  0.020524250586827594
preprocessing time for sampling: 0.29187798500061035
amortized time for sample size  280 is:  0.00031229243108204434
preprocessing time for sampling: 0.2888660430908203
amortized time for sample size  290 is:  0.0003199649761463034
preprocessing time for sampling: 0.31130385398864746
amortized time for sample size  300 is:  0.00031427835623423257
preprocessing time for sampling: 0.299299955368042
amortized time for sample size  310 is:  0.0003309152741586009
preprocessing time for sampling: 0.3077852725982666
amortized time for sample size  320 is:  0.00031778287142515183
preprocessing time for sampling: 0.2944169044494629
amortized time for sample size  330 is:  0.0003133958180745442
preprocessing time for sampling: 0.32313108444213867
amortized time for sample size  340 is:  0.00031470172545489144
preprocessing time for sampling: 0.3013272285461426
amortized time for sample size  350 is:  0.00031885247911725726
preprocessing time for sampling: 0.2958409786224365
amortized time for sample size  360 is:  0.0003133970300356547
preprocessing time for sampling: 0.2917609214782715
amortized time for sample size  370 is:  0.0003149965002730086
preprocessing time for sampling: 0.2899038791656494
amortized time for sample size  380 is:  0.00031315943441892924
preprocessing time for sampling: 0.29007697105407715
amortized time for sample size  390 is:  0.0003153531612494053
preprocessing time for sampling: 0.2940990924835205
amortized time for sample size  400 is:  0.0003178684234619141
preprocessing time for sampling: 0.2972090244293213
amortized time for sample size  410 is:  0.0003234725638133724
preprocessing time for sampling: 0.3084259033203125
amortized time for sample size  420 is:  0.0003229811361857823
preprocessing time for sampling: 0.29448795318603516
amortized time for sample size  430 is:  0.0003164916537528815
preprocessing time for sampling: 0.29344892501831055
amortized time for sample size  440 is:  0.0003164319775321267
preprocessing time for sampling: 0.2938072681427002
amortized time for sample size  450 is:  0.00031669840282864037
preprocessing time for sampling: 0.29372119903564453
amortized time for sample size  460 is:  0.00031732001511946965
preprocessing time for sampling: 0.29345202445983887
amortized time for sample size  470 is:  0.00031599689037241835
preprocessing time for sampling: 0.29340600967407227
amortized time for sample size  480 is:  0.0003162616988023122
preprocessing time for sampling: 0.29329586029052734
amortized time for sample size  490 is:  0.000319121823018911
preprocessing time for sampling: 0.3012681007385254
amortized time for sample size  500 is:  0.0003169521045684814
beta =  1.0 

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: 0.29375791549682617
amortized time for sample size  10 is:  0.0003215181827545166
preprocessing time for sampling: 0.2931489944458008
amortized time for sample size  20 is:  0.00031384849548339843
preprocessing time for sampling: 0.2933073043823242
amortized time for sample size  30 is:  0.00031488895416259766
preprocessing time for sampling: 0.30153703689575195
amortized time for sample size  40 is:  0.0003156909346580506
preprocessing time for sampling: 0.2932779788970947
amortized time for sample size  50 is:  0.0003169433116912842
preprocessing time for sampling: 0.2933533191680908
amortized time for sample size  60 is:  0.00031645798683166507
preprocessing time for sampling: 0.293215274810791
amortized time for sample size  70 is:  0.00031575557163783486
preprocessing time for sampling: 0.29307103157043457
amortized time for sample size  80 is:  0.00031493428349494936
preprocessing time for sampling: 0.3018052577972412
amortized time for sample size  90 is:  0.000315955400466919
preprocessing time for sampling: 0.29300904273986816
amortized time for sample size  100 is:  0.0003181732416152954
preprocessing time for sampling: 0.2940537929534912
amortized time for sample size  110 is:  0.0003167844468897039
preprocessing time for sampling: 0.29487013816833496
amortized time for sample size  120 is:  0.0003162951270739237
preprocessing time for sampling: 0.2952418327331543
amortized time for sample size  130 is:  0.0003169436454772949
preprocessing time for sampling: 0.2930607795715332
amortized time for sample size  140 is:  0.00031683419431958884
preprocessing time for sampling: 0.2938401699066162
amortized time for sample size  150 is:  0.0003172074953715007
preprocessing time for sampling: 0.2933640480041504
amortized time for sample size  160 is:  0.0003159321397542953
preprocessing time for sampling: 0.3062598705291748
amortized time for sample size  170 is:  0.00032061565623563886
preprocessing time for sampling: 0.29668283462524414
amortized time for sample size  180 is:  0.0003194388151168823
preprocessing time for sampling: 0.2969532012939453
amortized time for sample size  190 is:  0.0003187954049361379
preprocessing time for sampling: 0.2956550121307373
amortized time for sample size  200 is:  0.0003201893329620361
preprocessing time for sampling: 0.2965512275695801
amortized time for sample size  210 is:  0.0003197154658181326
preprocessing time for sampling: 0.2964901924133301
amortized time for sample size  220 is:  0.0003191343220797452
preprocessing time for sampling: 0.3046610355377197
amortized time for sample size  230 is:  0.00031946374022442367
preprocessing time for sampling: 0.29902100563049316
amortized time for sample size  240 is:  0.00032013517618179326
preprocessing time for sampling: 0.2961537837982178
amortized time for sample size  250 is:  0.0003194699287414551
preprocessing time for sampling: 0.3072242736816406
amortized time for sample size  260 is:  0.0003188257951002855
preprocessing time for sampling: 0.296248197555542
amortized time for sample size  270 is:  0.00031913407643636066
preprocessing time for sampling: 0.2967348098754883
amortized time for sample size  280 is:  0.00031839248963764735
preprocessing time for sampling: 0.29721999168395996
amortized time for sample size  290 is:  0.00031973040514978867
preprocessing time for sampling: 0.29680800437927246
amortized time for sample size  300 is:  0.0003197022358576456
preprocessing time for sampling: 0.29636669158935547
amortized time for sample size  310 is:  0.0003191210762146981
preprocessing time for sampling: 0.2964940071105957
amortized time for sample size  320 is:  0.0003192217350006103
preprocessing time for sampling: 0.29752278327941895
amortized time for sample size  330 is:  0.000319397413369381
preprocessing time for sampling: 0.2962760925292969
amortized time for sample size  340 is:  0.00031942986039554375
preprocessing time for sampling: 0.2968308925628662
amortized time for sample size  350 is:  0.00031972443035670694
preprocessing time for sampling: 0.29895973205566406
amortized time for sample size  360 is:  0.00032020748986138234
preprocessing time for sampling: 0.296630859375
amortized time for sample size  370 is:  0.0003196656317324251
preprocessing time for sampling: 0.30525898933410645
amortized time for sample size  380 is:  0.00031946810923124617
preprocessing time for sampling: 0.2961132526397705
amortized time for sample size  390 is:  0.0003192874162625044
preprocessing time for sampling: 0.2949550151824951
amortized time for sample size  400 is:  0.00031921417117118834
preprocessing time for sampling: 0.29589390754699707
amortized time for sample size  410 is:  0.00031880975351101013
preprocessing time for sampling: 0.2960319519042969
amortized time for sample size  420 is:  0.0003186847993305751
preprocessing time for sampling: 0.2964060306549072
amortized time for sample size  430 is:  0.0003182827261991279
preprocessing time for sampling: 0.29588794708251953
amortized time for sample size  440 is:  0.00031850255619395864
preprocessing time for sampling: 0.2957890033721924
amortized time for sample size  450 is:  0.00031868182818094886
preprocessing time for sampling: 0.29492926597595215
amortized time for sample size  460 is:  0.00031918684814287267
preprocessing time for sampling: 0.30374693870544434
amortized time for sample size  470 is:  0.0003184869948853837
preprocessing time for sampling: 0.2948617935180664
amortized time for sample size  480 is:  0.0003182661086320877
preprocessing time for sampling: 0.3050727844238281
amortized time for sample size  490 is:  0.00031826281547546383
preprocessing time for sampling: 0.29559779167175293
amortized time for sample size  500 is:  0.000318017463684082
beta =  1.1 

mean of accuracies: [np.float64(0.9800000000000001), np.float64(0.97), 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(0.039999999999999994), np.float64(0.04582575694955839), 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: 0.29465484619140625
amortized time for sample size  10 is:  0.00031528353691101074
preprocessing time for sampling: 0.2947237491607666
amortized time for sample size  20 is:  0.0003190433979034424
preprocessing time for sampling: 0.2939260005950928
amortized time for sample size  30 is:  0.00031657441457112637
preprocessing time for sampling: 0.3059959411621094
amortized time for sample size  40 is:  0.0003163672089576722
preprocessing time for sampling: 0.2945578098297119
amortized time for sample size  50 is:  0.0003198092937469482
preprocessing time for sampling: 0.2950308322906494
amortized time for sample size  60 is:  0.0003182363907496135
preprocessing time for sampling: 0.2940828800201416
amortized time for sample size  70 is:  0.00031734861646379745
preprocessing time for sampling: 0.30400705337524414
amortized time for sample size  80 is:  0.0003175264298915863
preprocessing time for sampling: 0.2934761047363281
amortized time for sample size  90 is:  0.0003161460823482937
preprocessing time for sampling: 0.2944931983947754
amortized time for sample size  100 is:  0.0003176148414611816
preprocessing time for sampling: 0.2975749969482422
amortized time for sample size  110 is:  0.00031757959452542386
preprocessing time for sampling: 0.2952687740325928
amortized time for sample size  120 is:  0.00031850033998489374
preprocessing time for sampling: 0.2976398468017578
amortized time for sample size  130 is:  0.0003239148763509897
preprocessing time for sampling: 0.3007240295410156
amortized time for sample size  140 is:  0.00031777390411921914
preprocessing time for sampling: 0.29510498046875
amortized time for sample size  150 is:  0.00031732625961303706
preprocessing time for sampling: 0.3015279769897461
amortized time for sample size  160 is:  0.0003177278786897659
preprocessing time for sampling: 0.29514598846435547
amortized time for sample size  170 is:  0.00031706261634826665
preprocessing time for sampling: 0.2942488193511963
amortized time for sample size  180 is:  0.00031748633914523654
preprocessing time for sampling: 0.3001899719238281
amortized time for sample size  190 is:  0.00031754670645061295
preprocessing time for sampling: 0.2962009906768799
amortized time for sample size  200 is:  0.0003167849421501159
preprocessing time for sampling: 0.29590821266174316
amortized time for sample size  210 is:  0.00031757687387012304
preprocessing time for sampling: 0.30643725395202637
amortized time for sample size  220 is:  0.00031730335408991034
preprocessing time for sampling: 0.2950260639190674
amortized time for sample size  230 is:  0.0003170367842135222
preprocessing time for sampling: 0.2959918975830078
amortized time for sample size  240 is:  0.0003175792396068573
preprocessing time for sampling: 0.29501891136169434
amortized time for sample size  250 is:  0.0003165559864044189
preprocessing time for sampling: 0.29390692710876465
amortized time for sample size  260 is:  0.00031793645712045515
preprocessing time for sampling: 0.29742002487182617
amortized time for sample size  270 is:  0.00031759247073420775
preprocessing time for sampling: 0.29533910751342773
amortized time for sample size  280 is:  0.00031691323007856096
preprocessing time for sampling: 0.30512285232543945
amortized time for sample size  290 is:  0.00031689897076836947
preprocessing time for sampling: 0.29453277587890625
amortized time for sample size  300 is:  0.0003178393284479777
preprocessing time for sampling: 0.29424405097961426
amortized time for sample size  310 is:  0.0003548426551203575
preprocessing time for sampling: 0.38003015518188477
amortized time for sample size  320 is:  0.00040935530513525005
preprocessing time for sampling: 0.37978601455688477
amortized time for sample size  330 is:  0.00040852982347661804
preprocessing time for sampling: 0.3880438804626465
amortized time for sample size  340 is:  0.0004088875896790449
preprocessing time for sampling: 0.37996792793273926
amortized time for sample size  350 is:  0.0004086822509765625
preprocessing time for sampling: 0.37976503372192383
amortized time for sample size  360 is:  0.000409218794769711
preprocessing time for sampling: 0.3804140090942383
amortized time for sample size  370 is:  0.0004091036126420305
preprocessing time for sampling: 0.3815281391143799
amortized time for sample size  380 is:  0.00040892659990411054
preprocessing time for sampling: 0.3801698684692383
amortized time for sample size  390 is:  0.0003781252824343167
preprocessing time for sampling: 0.29662632942199707
amortized time for sample size  400 is:  0.00031609703898429875
preprocessing time for sampling: 0.29874610900878906
amortized time for sample size  410 is:  0.00031579820702715616
preprocessing time for sampling: 0.29587507247924805
amortized time for sample size  420 is:  0.000317940802801223
preprocessing time for sampling: 0.29438209533691406
amortized time for sample size  430 is:  0.00031767046728799507
preprocessing time for sampling: 0.2951488494873047
amortized time for sample size  440 is:  0.0003184203126213768
preprocessing time for sampling: 0.295820951461792
amortized time for sample size  450 is:  0.0003182593080732557
preprocessing time for sampling: 0.2957148551940918
amortized time for sample size  460 is:  0.0003189025339872941
preprocessing time for sampling: 0.2965080738067627
amortized time for sample size  470 is:  0.00031857019282401875
preprocessing time for sampling: 0.2959747314453125
amortized time for sample size  480 is:  0.0003196068753798803
preprocessing time for sampling: 0.2970430850982666
amortized time for sample size  490 is:  0.0003191832376986134
preprocessing time for sampling: 0.29878711700439453
amortized time for sample size  500 is:  0.00031885254383087156
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)] 

