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Adaptive-Testing-SCV

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text stringlengths 29 90
p_LC = 0.0003444965279595369, q_LC = 0.6001377986111838, lik_ratio = 2.4999999999999996
y = [[0.49990432849234606, 0.49990432849234606, 0.00019134301530790524]]
p_LC = 0.013796853243048503, q_LC = 0.9013796853243048, lik_ratio = 0.015306372517242357
beta = [0. 0. 0.], mu_1 = 0.0
i = 0, j = 11, crash = 0.0, state = [8.18, 25.86, -5.18, -0.36, -4.82]
p_LC = 0.0057548564311272095, q_LC = 0.6023019425724508, lik_ratio = 0.009554769832798536
y = [[1.4952226150836008, 1.4952226150836008, 0.009554769832798536]]
beta = [4.79915966e-03 4.79915966e-03 4.51479501e-05], mu_1 = 0.004777384916399268
i = 1, j = 10, crash = 1.0, state = [8.17, 26.1, -5.17, 0.11, -4.83]
p_LC = 0.007254026466344577, q_LC = 0.6029016105865378, lik_ratio = 0.01203185783379719
y = [[1.4939840710831016, 1.4939840710831016, 0.01203185783379719]]
beta = [0.0052633 0.0052633 0.03013238], mu_1 = 0.007195542555531908
i = 2, j = 10, crash = 1.0, state = [8.16, 26.02, -5.16, 0.11, -4.84]
p_LC = 0.007254026466344577, q_LC = 0.6029016105865378, lik_ratio = 0.01203185783379719
y = [[1.4939840710831016, 1.4939840710831016, 0.01203185783379719]]
beta = [0.00541212 0.00541212 0.03977929], mu_1 = 0.00840462137509823
i = 3, j = 10, crash = 1.0, state = [8.16, 26.02, -5.16, 0.11, -4.84]
p_LC = 0.006753166470577033, q_LC = 0.6027012665882308, lik_ratio = 2.4999999999999996
y = [[0.4981325279910766, 0.4981325279910766, 0.0037349440178467037]]
p_LC = 0.02037444815572691, q_LC = 0.9020374448155726, lik_ratio = 0.022587142332979978
beta = [0.00545267 0.00545267 0.03777941], mu_1 = 0.006723697100078582
i = 4, j = 11, crash = 0.0, state = [8.16, 25.53, -5.16, -0.37, -4.84]
p_LC = 0.002296284121244785, q_LC = 0.6009185136484979, lik_ratio = 0.0038212903564957836
y = [[1.4980893548217522, 1.4980893548217522, 0.0038212903564957836]]
beta = [0.00358018 0.00358018 0.29939442], mu_1 = 0.006239962642814785
i = 5, j = 10, crash = 1.0, state = [8.18, 26.28, -5.18, 0.12, -4.82]
p_LC = 0.006253444054698976, q_LC = 0.6025013776218796, lik_ratio = 0.010379136524769142
y = [[1.4948104317376154, 1.4948104317376154, 0.010379136524769142]]
beta = [0.00363767 0.00363767 0.30329196], mu_1 = 0.006831273197379693
i = 6, j = 10, crash = 1.0, state = [8.16, 26.07, -5.16, 0.11, -4.84]
p_LC = 0.006253444054698976, q_LC = 0.6025013776218796, lik_ratio = 0.010379136524769142
y = [[1.4948104317376154, 1.4948104317376154, 0.010379136524769142]]
beta = [0.00367566 0.00367566 0.30586721], mu_1 = 0.007274756113303373
i = 7, j = 10, crash = 1.0, state = [8.16, 26.07, -5.16, 0.11, -4.84]
p_LC = 0.0013181759472672306, q_LC = 0.6005272703789069, lik_ratio = 0.0021950309541072435
y = [[1.4989024845229464, 1.4989024845229464, 0.0021950309541072435]]
beta = [0.00273829 0.00273829 0.47323736], mu_1 = 0.006710342206726025
i = 8, j = 10, crash = 1.0, state = [8.18, 26.33, -5.18, 0.12, -4.82]
p_LC = 0.008763459881467461, q_LC = 0.603505383952587, lik_ratio = 0.014520930739792607
y = [[1.4927395346301038, 1.4927395346301038, 0.014520930739792607]]
beta = [0.00267423 0.00267423 0.54295256], mu_1 = 0.0074914010600326845
i = 9, j = 10, crash = 1.0, state = [8.16, 25.94, -5.16, 0.11, -4.84]
p_LC = 0.006753166470577033, q_LC = 0.6027012665882308, lik_ratio = 2.4999999999999996
y = [[0.4981325279910766, 0.4981325279910766, 0.0037349440178467037]]
p_LC = 0.02037444815572691, q_LC = 0.9020374448155726, lik_ratio = 9.99999999999999
beta = [0.00285312 0.00285312 0.53813465], mu_1 = 0.006810364600029712
i = 10, j = 11, crash = 0.0, state = [8.16, 25.53, -5.16, -0.37, -4.84]
p_LC = 0.004761074434937263, q_LC = 0.6019044297739748, lik_ratio = 2.4999999999999996
y = [[0.498681663788185, 0.498681663788185, 0.002636672423629958]]
p_LC = 0.018330694902928348, q_LC = 0.9018330694902927, lik_ratio = 0.020326039843813534
beta = [0.00285986 0.00285986 0.53812426], mu_1 = 0.0062428342166939025
i = 11, j = 11, crash = 0.0, state = [8.16, 25.63, -5.16, -0.37, -4.84]
p_LC = 0.006753166470577033, q_LC = 0.6027012665882308, lik_ratio = 0.011204832053540113
y = [[1.49439758397323, 1.49439758397323, 0.011204832053540113]]
beta = [0.00288675 0.00288675 0.54409137], mu_1 = 0.006624526357989767
i = 12, j = 10, crash = 1.0, state = [8.16, 26.04, -5.16, 0.11, -4.84]
p_LC = 0.0003444965279595369, q_LC = 0.6001377986111838, lik_ratio = 0.0005740290459237158
y = [[1.4997129854770384, 1.4997129854770384, 0.0005740290459237158]]
beta = [0.00234982 0.00234982 0.65178104], mu_1 = 0.006192347978556475
i = 13, j = 10, crash = 1.0, state = [8.18, 26.38, -5.18, 0.12, -4.82]
p_LC = 0.004265874511581314, q_LC = 0.6017063498046326, lik_ratio = 2.5
y = [[0.4988183952429713, 0.4988183952429713, 0.0023632095140574782]]
p_LC = 0.01782253377532056, q_LC = 0.901782253377532, lik_ratio = 9.999999999999998
beta = [0.00233712 0.00233712 0.65170186], mu_1 = 0.005779524779986044
i = 14, j = 11, crash = 0.0, state = [8.16, 25.66, -5.16, -0.37, -4.84]
p_LC = 0.009268898169348628, q_LC = 0.6037075592677394, lik_ratio = 0.01535329155161025
y = [[1.492323354224195, 1.492323354224195, 0.01535329155161025]]
beta = [0.0023059 0.0023059 0.69247621], mu_1 = 0.006377885203212556
i = 15, j = 10, crash = 1.0, state = [8.15, 25.92, -5.15, 0.11, -4.85]
p_LC = 0.009268898169348628, q_LC = 0.6037075592677394, lik_ratio = 2.5
y = [[0.4974411180747316, 0.4974411180747316, 0.0051177638505367495]]
p_LC = 0.022954319340610586, q_LC = 0.902295431934061, lik_ratio = 0.025439915274100677
beta = [0.00248972 0.00248972 0.68174052], mu_1 = 0.006002715485376523
i = 16, j = 11, crash = 0.0, state = [8.15, 25.4, -5.15, -0.37, -4.85]
p_LC = 0.002787005839512979, q_LC = 0.6011148023358052, lik_ratio = 0.0046363952920195324
y = [[1.4976818023539904, 1.4976818023539904, 0.0046363952920195324]]
beta = [0.0023777 0.0023777 0.69851099], mu_1 = 0.0059268088079678025
i = 17, j = 10, crash = 1.0, state = [8.17, 26.25, -5.17, 0.12, -4.83]
p_LC = 0.003771798279092353, q_LC = 0.6015087193116369, lik_ratio = 0.006270562932834586
y = [[1.4968647185335828, 1.4968647185335828, 0.006270562932834586]]
beta = [0.00233273 0.00233273 0.70350799], mu_1 = 0.0059449011303292125
i = 18, j = 10, crash = 1.0, state = [8.17, 26.2, -5.17, 0.12, -4.83]
p_LC = 0.0032788429744293524, q_LC = 0.6013115371897717, lik_ratio = 2.4999999999999996
y = [[0.4990911968334659, 0.4990911968334659, 0.0018176063330682232]]
p_LC = 0.016809526931188423, q_LC = 0.9016809526931189, lik_ratio = 0.01864243320321022
beta = [0.00228178 0.00228178 0.7014228 ], mu_1 = 0.00564765607381275
i = 19, j = 11, crash = 0.0, state = [8.17, 25.71, -5.17, -0.36, -4.83]
p_LC = 0.008763459881467461, q_LC = 0.603505383952587, lik_ratio = 2.5000000000000004
y = [[0.49757984487670126, 0.49757984487670126, 0.004840310246597536]]
p_LC = 0.022436093735649112, q_LC = 0.9022436093735648, lik_ratio = 0.024867002107365078
beta = [0.00239004 0.00239004 0.69487967], mu_1 = 0.005378720070297858
i = 20, j = 11, crash = 0.0, state = [8.15, 25.43, -5.15, -0.37, -4.85]
p_LC = 0.009775488047396187, q_LC = 0.6039101952189585, lik_ratio = 2.5000000000000004
y = [[0.49730216840053737, 0.49730216840053737, 0.005395663198925301]]
p_LC = 0.023473675583074085, q_LC = 0.9023473675583074, lik_ratio = 9.999999999999995
beta = [0.00250372 0.00250372 0.68631128], mu_1 = 0.005134232794375228
i = 21, j = 11, crash = 0.0, state = [8.15, 25.38, -5.15, -0.38, -4.85]
p_LC = 0.006753166470577033, q_LC = 0.6027012665882308, lik_ratio = 2.4999999999999996
y = [[0.4981325279910766, 0.4981325279910766, 0.0037349440178467037]]
p_LC = 0.02037444815572691, q_LC = 0.9020374448155726, lik_ratio = 0.022587142332979978

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This dataset is provided for https://github.com/THU-AI-Testing/Adaptive-Testing-SCV.

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