Task
Supervised Classification on datatrieve

Supervised Classification on datatrieve

Task 3923 Supervised Classification datatrieve 699 runs submitted
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  • mythbusting_1 study_1 study_107 study_123 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6364, f_measure: 0.8828, kappa: 0.1106, kb_relative_information_score: -7.0608, mean_absolute_error: 0.14, mean_prior_absolute_error: 0.1601, number_of_instances: 130, precision: 0.8715, predictive_accuracy: 0.9077, prior_entropy: 0.4395, recall: 0.9077, relative_absolute_error: 0.8745, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2821, root_relative_squared_error: 1.0134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5775, f_measure: 0.8688, kappa: 0.0616, kb_relative_information_score: -56.8397, mean_absolute_error: 0.1606, mean_prior_absolute_error: 0.1601, number_of_instances: 130, precision: 0.8557, predictive_accuracy: 0.8846, prior_entropy: 0.4395, recall: 0.8846, relative_absolute_error: 1.0027, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.3336, root_relative_squared_error: 1.1982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6157, f_measure: 0.8672, kappa: -0.0267, kb_relative_information_score: -25.5117, mean_absolute_error: 0.1502, mean_prior_absolute_error: 0.1601, number_of_instances: 130, precision: 0.8367, predictive_accuracy: 0.9, prior_entropy: 0.4395, recall: 0.9, relative_absolute_error: 0.9381, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2864, root_relative_squared_error: 1.0289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4958, f_measure: 0.8711, kappa: -0.0143, kb_relative_information_score: 25.6053, mean_absolute_error: 0.0923, mean_prior_absolute_error: 0.1601, number_of_instances: 130, precision: 0.8373, predictive_accuracy: 0.9077, prior_entropy: 0.4395, recall: 0.9077, relative_absolute_error: 0.5764, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.3038, root_relative_squared_error: 1.0914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7112, f_measure: 0.8711, kappa: -0.0143, kb_relative_information_score: -297.075, mean_absolute_error: 0.2643, mean_prior_absolute_error: 0.1601, number_of_instances: 130, precision: 0.8373, predictive_accuracy: 0.9077, prior_entropy: 0.4395, recall: 0.9077, relative_absolute_error: 1.6506, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.3134, root_relative_squared_error: 1.1257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7788, f_measure: 0.8711, kappa: -0.0143, kb_relative_information_score: -14.8063, mean_absolute_error: 0.1381, mean_prior_absolute_error: 0.1601, number_of_instances: 130, precision: 0.8373, predictive_accuracy: 0.9077, prior_entropy: 0.4395, recall: 0.9077, relative_absolute_error: 0.8624, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2785, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, f_measure: 0.8672, kappa: -0.0267, kb_relative_information_score: -51.1666, mean_absolute_error: 0.1523, mean_prior_absolute_error: 0.1601, number_of_instances: 130, precision: 0.8367, predictive_accuracy: 0.9, prior_entropy: 0.4395, recall: 0.9, relative_absolute_error: 0.951, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.3004, root_relative_squared_error: 1.0793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6558, f_measure: 0.8781, kappa: 0.0924, kb_relative_information_score: -16.2788, mean_absolute_error: 0.1337, mean_prior_absolute_error: 0.1601, number_of_instances: 130, precision: 0.8639, predictive_accuracy: 0.9, prior_entropy: 0.4395, recall: 0.9, relative_absolute_error: 0.8348, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2755, root_relative_squared_error: 0.9895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4553, f_measure: 0.8749, kb_relative_information_score: -31.4661, mean_absolute_error: 0.1672, mean_prior_absolute_error: 0.1601, number_of_instances: 130, precision: 0.8379, predictive_accuracy: 0.9154, prior_entropy: 0.4395, recall: 0.9154, relative_absolute_error: 1.0439, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2789, root_relative_squared_error: 1.0018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5752, f_measure: 0.9156, kappa: 0.3716, kb_relative_information_score: 24.8894, mean_absolute_error: 0.1252, mean_prior_absolute_error: 0.1601, number_of_instances: 130, precision: 0.9207, predictive_accuracy: 0.9308, prior_entropy: 0.4395, recall: 0.9308, relative_absolute_error: 0.7818, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.255, root_relative_squared_error: 0.9161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4553, f_measure: 0.8749, kb_relative_information_score: -5.1939, mean_absolute_error: 0.1608, mean_prior_absolute_error: 0.1601, number_of_instances: 130, precision: 0.8379, predictive_accuracy: 0.9154, prior_entropy: 0.4395, recall: 0.9154, relative_absolute_error: 1.0043, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2786, root_relative_squared_error: 1.0009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7196, f_measure: 0.8863, kappa: 0.1867, kb_relative_information_score: -37.7264, mean_absolute_error: 0.1345, mean_prior_absolute_error: 0.1601, number_of_instances: 130, precision: 0.8772, predictive_accuracy: 0.9, prior_entropy: 0.4395, recall: 0.9, relative_absolute_error: 0.8402, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.3012, root_relative_squared_error: 1.0821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6066, f_measure: 0.8567, kappa: 0.0939, kb_relative_information_score: -30.7014, mean_absolute_error: 0.1442, mean_prior_absolute_error: 0.1601, number_of_instances: 130, precision: 0.8597, predictive_accuracy: 0.8538, prior_entropy: 0.4395, recall: 0.8538, relative_absolute_error: 0.9003, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.3738, root_relative_squared_error: 1.3429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8014, f_measure: 0.8593, kappa: -0.0473, kb_relative_information_score: -44.9241, mean_absolute_error: 0.1464, mean_prior_absolute_error: 0.1601, number_of_instances: 130, precision: 0.8355, predictive_accuracy: 0.8846, prior_entropy: 0.4395, recall: 0.8846, relative_absolute_error: 0.9145, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.3025, root_relative_squared_error: 1.0865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5653, f_measure: 0.8554, kappa: -0.0558, kb_relative_information_score: -25.1701, mean_absolute_error: 0.1332, mean_prior_absolute_error: 0.1601, number_of_instances: 130, precision: 0.8348, predictive_accuracy: 0.8769, prior_entropy: 0.4395, recall: 0.8769, relative_absolute_error: 0.8317, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.336, root_relative_squared_error: 1.2071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6551, f_measure: 0.8749, kb_relative_information_score: -54.6642, mean_absolute_error: 0.1467, mean_prior_absolute_error: 0.1601, number_of_instances: 130, precision: 0.8379, predictive_accuracy: 0.9154, prior_entropy: 0.4395, recall: 0.9154, relative_absolute_error: 0.9164, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2701, root_relative_squared_error: 0.9701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6551, f_measure: 0.8749, kb_relative_information_score: -72.9534, mean_absolute_error: 0.1493, mean_prior_absolute_error: 0.1601, number_of_instances: 130, precision: 0.8379, predictive_accuracy: 0.9154, prior_entropy: 0.4395, recall: 0.9154, relative_absolute_error: 0.9322, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2703, root_relative_squared_error: 0.9709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7697, f_measure: 0.8711, kappa: -0.0143, kb_relative_information_score: -27.46, mean_absolute_error: 0.1245, mean_prior_absolute_error: 0.1601, number_of_instances: 130, precision: 0.8373, predictive_accuracy: 0.9077, prior_entropy: 0.4395, recall: 0.9077, relative_absolute_error: 0.7777, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2779, root_relative_squared_error: 0.9981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5329, f_measure: 0.8749, kb_relative_information_score: 32.538, mean_absolute_error: 0.0862, mean_prior_absolute_error: 0.1601, number_of_instances: 130, precision: 0.8379, predictive_accuracy: 0.9154, prior_entropy: 0.4395, recall: 0.9154, relative_absolute_error: 0.538, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2888, root_relative_squared_error: 1.0373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4553, f_measure: 0.8749, kb_relative_information_score: -5.1939, mean_absolute_error: 0.1608, mean_prior_absolute_error: 0.1601, number_of_instances: 130, precision: 0.8379, predictive_accuracy: 0.9154, prior_entropy: 0.4395, recall: 0.9154, relative_absolute_error: 1.0043, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2786, root_relative_squared_error: 1.0009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8189, f_measure: 0.8781, kappa: 0.0924, kb_relative_information_score: -30.2969, mean_absolute_error: 0.1429, mean_prior_absolute_error: 0.1601, number_of_instances: 130, precision: 0.8639, predictive_accuracy: 0.9, prior_entropy: 0.4395, recall: 0.9, relative_absolute_error: 0.8921, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2783, root_relative_squared_error: 0.9999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4534, f_measure: 0.8749, kb_relative_information_score: -1.5049, mean_absolute_error: 0.155, mean_prior_absolute_error: 0.1601, number_of_instances: 130, precision: 0.8379, predictive_accuracy: 0.9154, prior_entropy: 0.4395, recall: 0.9154, relative_absolute_error: 0.9678, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2758, root_relative_squared_error: 0.9906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4553, f_measure: 0.8749, kb_relative_information_score: -5.1939, mean_absolute_error: 0.1608, mean_prior_absolute_error: 0.1601, number_of_instances: 130, precision: 0.8379, predictive_accuracy: 0.9154, prior_entropy: 0.4395, recall: 0.9154, relative_absolute_error: 1.0043, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2786, root_relative_squared_error: 1.0009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6704, f_measure: 0.8672, kappa: -0.0267, kb_relative_information_score: -41.28, mean_absolute_error: 0.129, mean_prior_absolute_error: 0.1601, number_of_instances: 130, precision: 0.8367, predictive_accuracy: 0.9, prior_entropy: 0.4395, recall: 0.9, relative_absolute_error: 0.8053, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2843, root_relative_squared_error: 1.0212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4553, f_measure: 0.8749, kb_relative_information_score: 2.3659, mean_absolute_error: 0.1551, mean_prior_absolute_error: 0.1601, number_of_instances: 130, precision: 0.8379, predictive_accuracy: 0.9154, prior_entropy: 0.4395, recall: 0.9154, relative_absolute_error: 0.9684, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2785, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6551, f_measure: 0.8749, kb_relative_information_score: -65.7803, mean_absolute_error: 0.1458, mean_prior_absolute_error: 0.1601, number_of_instances: 130, precision: 0.8379, predictive_accuracy: 0.9154, prior_entropy: 0.4395, recall: 0.9154, relative_absolute_error: 0.9107, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2702, root_relative_squared_error: 0.9706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4473, f_measure: 0.8633, kappa: -0.0376, kb_relative_information_score: -23.1557, mean_absolute_error: 0.1598, mean_prior_absolute_error: 0.1601, number_of_instances: 130, precision: 0.8361, predictive_accuracy: 0.8923, prior_entropy: 0.4395, recall: 0.8923, relative_absolute_error: 0.9979, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.3136, root_relative_squared_error: 1.1266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.738, f_measure: 0.8617, kappa: 0.1604, kb_relative_information_score: -95.3289, mean_absolute_error: 0.1821, mean_prior_absolute_error: 0.1601, number_of_instances: 130, precision: 0.8704, predictive_accuracy: 0.8538, prior_entropy: 0.4395, recall: 0.8538, relative_absolute_error: 1.137, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.3385, root_relative_squared_error: 1.2158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7471, f_measure: 0.8453, kappa: 0.1671, kb_relative_information_score: -80.2583, mean_absolute_error: 0.1841, mean_prior_absolute_error: 0.1601, number_of_instances: 130, precision: 0.8741, predictive_accuracy: 0.8231, prior_entropy: 0.4395, recall: 0.8231, relative_absolute_error: 1.1494, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.4067, root_relative_squared_error: 1.4609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6409, f_measure: 0.8734, kappa: 0.0761, kb_relative_information_score: -69.9736, mean_absolute_error: 0.1528, mean_prior_absolute_error: 0.1601, number_of_instances: 130, precision: 0.8591, predictive_accuracy: 0.8923, prior_entropy: 0.4395, recall: 0.8923, relative_absolute_error: 0.9545, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.3006, root_relative_squared_error: 1.0797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6757, f_measure: 0.8863, kappa: 0.1867, kb_relative_information_score: -24.4423, mean_absolute_error: 0.1321, mean_prior_absolute_error: 0.1601, number_of_instances: 130, precision: 0.8772, predictive_accuracy: 0.9, prior_entropy: 0.4395, recall: 0.9, relative_absolute_error: 0.8249, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2875, root_relative_squared_error: 1.0329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8749, kb_relative_information_score: 33.7895, mean_absolute_error: 0.0846, mean_prior_absolute_error: 0.1601, number_of_instances: 130, precision: 0.8379, predictive_accuracy: 0.9154, prior_entropy: 0.4395, recall: 0.9154, relative_absolute_error: 0.5284, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2909, root_relative_squared_error: 1.0449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7464, f_measure: 0.8453, kappa: 0.1671, kb_relative_information_score: -81.0332, mean_absolute_error: 0.1845, mean_prior_absolute_error: 0.1601, number_of_instances: 130, precision: 0.8741, predictive_accuracy: 0.8231, prior_entropy: 0.4395, recall: 0.8231, relative_absolute_error: 1.1521, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.4069, root_relative_squared_error: 1.4618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8749, kb_relative_information_score: 33.7895, mean_absolute_error: 0.0846, mean_prior_absolute_error: 0.1601, number_of_instances: 130, precision: 0.8379, predictive_accuracy: 0.9154, prior_entropy: 0.4395, recall: 0.9154, relative_absolute_error: 0.5284, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2909, root_relative_squared_error: 1.0449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4473, f_measure: 0.8633, kappa: -0.0376, kb_relative_information_score: -23.1557, mean_absolute_error: 0.1598, mean_prior_absolute_error: 0.1601, number_of_instances: 130, precision: 0.8361, predictive_accuracy: 0.8923, prior_entropy: 0.4395, recall: 0.8923, relative_absolute_error: 0.9979, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.3136, root_relative_squared_error: 1.1266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7762, f_measure: 0.8453, kappa: 0.1671, kb_relative_information_score: -90.8831, mean_absolute_error: 0.1816, mean_prior_absolute_error: 0.1601, number_of_instances: 130, precision: 0.8741, predictive_accuracy: 0.8231, prior_entropy: 0.4395, recall: 0.8231, relative_absolute_error: 1.1342, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.3671, root_relative_squared_error: 1.3186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8749, kb_relative_information_score: 33.7895, mean_absolute_error: 0.0846, mean_prior_absolute_error: 0.1601, number_of_instances: 130, precision: 0.8379, predictive_accuracy: 0.9154, prior_entropy: 0.4395, recall: 0.9154, relative_absolute_error: 0.5284, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2909, root_relative_squared_error: 1.0449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7464, f_measure: 0.8453, kappa: 0.1671, kb_relative_information_score: -81.0332, mean_absolute_error: 0.1845, mean_prior_absolute_error: 0.1601, number_of_instances: 130, precision: 0.8741, predictive_accuracy: 0.8231, prior_entropy: 0.4395, recall: 0.8231, relative_absolute_error: 1.1521, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.4069, root_relative_squared_error: 1.4618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4492, f_measure: 0.8749, kb_relative_information_score: 0.7472, mean_absolute_error: 0.1511, mean_prior_absolute_error: 0.1601, number_of_instances: 130, precision: 0.8379, predictive_accuracy: 0.9154, prior_entropy: 0.4395, recall: 0.9154, relative_absolute_error: 0.9438, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2797, root_relative_squared_error: 1.0048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6387, f_measure: 0.8915, kappa: 0.2081, kb_relative_information_score: -46.2349, mean_absolute_error: 0.1385, mean_prior_absolute_error: 0.1601, number_of_instances: 130, precision: 0.8833, predictive_accuracy: 0.9077, prior_entropy: 0.4395, recall: 0.9077, relative_absolute_error: 0.8646, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2845, root_relative_squared_error: 1.0219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5076, f_measure: 0.8507, kappa: 0.0159, kb_relative_information_score: -31.6842, mean_absolute_error: 0.1462, mean_prior_absolute_error: 0.1601, number_of_instances: 130, precision: 0.8476, predictive_accuracy: 0.8538, prior_entropy: 0.4395, recall: 0.8538, relative_absolute_error: 0.9127, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.3823, root_relative_squared_error: 1.3733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5684, f_measure: 0.8688, kappa: 0.0616, kb_relative_information_score: -11.9624, mean_absolute_error: 0.1208, mean_prior_absolute_error: 0.1601, number_of_instances: 130, precision: 0.8557, predictive_accuracy: 0.8846, prior_entropy: 0.4395, recall: 0.8846, relative_absolute_error: 0.7543, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.3162, root_relative_squared_error: 1.1359, scimark_benchmark: 1586.7278, usercpu_time_millis: 281.25, usercpu_time_millis_training: 281.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4759, f_measure: 0.6644, kappa: -0.0176, kb_relative_information_score: -334.4999, mean_absolute_error: 0.4308, mean_prior_absolute_error: 0.1601, number_of_instances: 130, precision: 0.8386, predictive_accuracy: 0.5692, prior_entropy: 0.4395, recall: 0.5692, relative_absolute_error: 2.69, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.6563, root_relative_squared_error: 2.3577, scimark_benchmark: 1922.3298, usercpu_time_millis: 6390.625, usercpu_time_millis_training: 6390.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4874, f_measure: 0.8633, kappa: -0.0376, kb_relative_information_score: 9.2369, mean_absolute_error: 0.1077, mean_prior_absolute_error: 0.1601, number_of_instances: 130, precision: 0.8361, predictive_accuracy: 0.8923, prior_entropy: 0.4395, recall: 0.8923, relative_absolute_error: 0.6725, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.3282, root_relative_squared_error: 1.1788, scimark_benchmark: 1922.3298, usercpu_time_millis: 7281.25, usercpu_time_millis_training: 7281.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8749, kb_relative_information_score: 33.7895, mean_absolute_error: 0.0846, mean_prior_absolute_error: 0.1601, number_of_instances: 130, precision: 0.8379, predictive_accuracy: 0.9154, prior_entropy: 0.4395, recall: 0.9154, relative_absolute_error: 0.5284, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2909, root_relative_squared_error: 1.0449, scimark_benchmark: 1922.3298, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8749, kb_relative_information_score: 33.7895, mean_absolute_error: 0.0846, mean_prior_absolute_error: 0.1601, number_of_instances: 130, precision: 0.8379, predictive_accuracy: 0.9154, prior_entropy: 0.4395, recall: 0.9154, relative_absolute_error: 0.5284, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2909, root_relative_squared_error: 1.0449, scimark_benchmark: 1280.301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7108, f_measure: 0.8643, kappa: 0.0485, kb_relative_information_score: -24.739, mean_absolute_error: 0.1547, mean_prior_absolute_error: 0.1601, number_of_instances: 130, precision: 0.8531, predictive_accuracy: 0.8769, prior_entropy: 0.4395, recall: 0.8769, relative_absolute_error: 0.9661, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.3186, root_relative_squared_error: 1.1445, scimark_benchmark: 1386.1149, usercpu_time_millis: 450, usercpu_time_millis_training: 450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8749, kb_relative_information_score: 33.7895, mean_absolute_error: 0.0846, mean_prior_absolute_error: 0.1601, number_of_instances: 130, precision: 0.8379, predictive_accuracy: 0.9154, prior_entropy: 0.4395, recall: 0.9154, relative_absolute_error: 0.5284, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2909, root_relative_squared_error: 1.0449, scimark_benchmark: 1638.9059, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8749, kb_relative_information_score: 33.7895, mean_absolute_error: 0.0846, mean_prior_absolute_error: 0.1601, number_of_instances: 130, precision: 0.8379, predictive_accuracy: 0.9154, prior_entropy: 0.4395, recall: 0.9154, relative_absolute_error: 0.5284, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2909, root_relative_squared_error: 1.0449, scimark_benchmark: 1651.5123, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4759, f_measure: 0.6644, kappa: -0.0176, kb_relative_information_score: -334.4999, mean_absolute_error: 0.4308, mean_prior_absolute_error: 0.1601, number_of_instances: 130, precision: 0.8386, predictive_accuracy: 0.5692, prior_entropy: 0.4395, recall: 0.5692, relative_absolute_error: 2.69, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.6563, root_relative_squared_error: 2.3577, scimark_benchmark: 1645.1277, usercpu_time_millis: 3100, usercpu_time_millis_training: 3100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4874, f_measure: 0.8633, kappa: -0.0376, kb_relative_information_score: 9.2369, mean_absolute_error: 0.1077, mean_prior_absolute_error: 0.1601, number_of_instances: 130, precision: 0.8361, predictive_accuracy: 0.8923, prior_entropy: 0.4395, recall: 0.8923, relative_absolute_error: 0.6725, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.3282, root_relative_squared_error: 1.1788, scimark_benchmark: 1394.6189, usercpu_time_millis: 4260, usercpu_time_millis_training: 4260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6509, f_measure: 0.8734, kappa: 0.0761, kb_relative_information_score: -19.463, mean_absolute_error: 0.128, mean_prior_absolute_error: 0.1601, number_of_instances: 130, precision: 0.8591, predictive_accuracy: 0.8923, prior_entropy: 0.4395, recall: 0.8923, relative_absolute_error: 0.7992, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.3122, root_relative_squared_error: 1.1214, scimark_benchmark: 1665.974, usercpu_time_millis: 46.875, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7785, f_measure: 0.8734, kappa: 0.0761, kb_relative_information_score: -27.8402, mean_absolute_error: 0.1373, mean_prior_absolute_error: 0.1601, number_of_instances: 130, precision: 0.8591, predictive_accuracy: 0.8923, prior_entropy: 0.4395, recall: 0.8923, relative_absolute_error: 0.8576, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2961, root_relative_squared_error: 1.0635, scimark_benchmark: 1362.2377, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5244, f_measure: 0.8688, kappa: 0.0616, kb_relative_information_score: 1.0527, mean_absolute_error: 0.1154, mean_prior_absolute_error: 0.1601, number_of_instances: 130, precision: 0.8557, predictive_accuracy: 0.8846, prior_entropy: 0.4395, recall: 0.8846, relative_absolute_error: 0.7205, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.3397, root_relative_squared_error: 1.2202, usercpu_time_millis: 0.049, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 0.039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4958, f_measure: 0.8711, kappa: -0.0143, kb_relative_information_score: 25.6053, mean_absolute_error: 0.0923, mean_prior_absolute_error: 0.1601, number_of_instances: 130, precision: 0.8373, predictive_accuracy: 0.9077, prior_entropy: 0.4395, recall: 0.9077, relative_absolute_error: 0.5764, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.3038, root_relative_squared_error: 1.0914, usercpu_time_millis: 0.344, usercpu_time_millis_testing: 0.032, usercpu_time_millis_training: 0.312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7464, f_measure: 0.8453, kappa: 0.1671, kb_relative_information_score: -81.0332, mean_absolute_error: 0.1845, mean_prior_absolute_error: 0.1601, number_of_instances: 130, precision: 0.8741, predictive_accuracy: 0.8231, prior_entropy: 0.4395, recall: 0.8231, relative_absolute_error: 1.1521, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.4069, root_relative_squared_error: 1.4618, scimark_benchmark: 1358.3188, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8749, kb_relative_information_score: 33.7895, mean_absolute_error: 0.0846, mean_prior_absolute_error: 0.1601, number_of_instances: 130, precision: 0.8379, predictive_accuracy: 0.9154, prior_entropy: 0.4395, recall: 0.9154, relative_absolute_error: 0.5284, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2909, root_relative_squared_error: 1.0449, scimark_benchmark: 1183.9623, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6287, f_measure: 0.8554, kappa: -0.0558, kb_relative_information_score: -26.2473, mean_absolute_error: 0.1469, mean_prior_absolute_error: 0.1601, number_of_instances: 130, precision: 0.8348, predictive_accuracy: 0.8769, prior_entropy: 0.4395, recall: 0.8769, relative_absolute_error: 0.9171, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.304, root_relative_squared_error: 1.0919, scimark_benchmark: 1320.4451, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7391, f_measure: 0.8781, kappa: 0.0924, kb_relative_information_score: -39.3028, mean_absolute_error: 0.1429, mean_prior_absolute_error: 0.1601, number_of_instances: 130, precision: 0.8639, predictive_accuracy: 0.9, prior_entropy: 0.4395, recall: 0.9, relative_absolute_error: 0.8921, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2935, root_relative_squared_error: 1.0544, scimark_benchmark: 1098.0808, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5699, f_measure: 0.8812, kappa: 0.1674, kb_relative_information_score: 6.4114, mean_absolute_error: 0.1143, mean_prior_absolute_error: 0.1601, number_of_instances: 130, precision: 0.8726, predictive_accuracy: 0.8923, prior_entropy: 0.4395, recall: 0.8923, relative_absolute_error: 0.7137, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.3255, root_relative_squared_error: 1.1693, scimark_benchmark: 1294.2564, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7357, f_measure: 0.8734, kappa: 0.0761, kb_relative_information_score: 2.3751, mean_absolute_error: 0.1135, mean_prior_absolute_error: 0.1601, number_of_instances: 130, precision: 0.8591, predictive_accuracy: 0.8923, prior_entropy: 0.4395, recall: 0.8923, relative_absolute_error: 0.7085, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.3256, root_relative_squared_error: 1.1696, scimark_benchmark: 1143.5466, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5485, f_measure: 0.9024, kappa: 0.2588, kb_relative_information_score: 17.6275, mean_absolute_error: 0.1309, mean_prior_absolute_error: 0.1601, number_of_instances: 130, precision: 0.9069, predictive_accuracy: 0.9231, prior_entropy: 0.4395, recall: 0.9231, relative_absolute_error: 0.8174, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2683, root_relative_squared_error: 0.9639, scimark_benchmark: 824.363, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8749, kb_relative_information_score: 33.7895, mean_absolute_error: 0.0846, mean_prior_absolute_error: 0.1601, number_of_instances: 130, precision: 0.8379, predictive_accuracy: 0.9154, prior_entropy: 0.4395, recall: 0.9154, relative_absolute_error: 0.5284, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2909, root_relative_squared_error: 1.0449, scimark_benchmark: 1618.1738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4045, f_measure: 0.8711, kappa: -0.0143, kb_relative_information_score: -16.0476, mean_absolute_error: 0.1613, mean_prior_absolute_error: 0.1601, number_of_instances: 130, precision: 0.8373, predictive_accuracy: 0.9077, prior_entropy: 0.4395, recall: 0.9077, relative_absolute_error: 1.0072, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2948, root_relative_squared_error: 1.0589, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6417, f_measure: 0.8688, kappa: 0.0616, kb_relative_information_score: -65.4787, mean_absolute_error: 0.1528, mean_prior_absolute_error: 0.1601, number_of_instances: 130, precision: 0.8557, predictive_accuracy: 0.8846, prior_entropy: 0.4395, recall: 0.8846, relative_absolute_error: 0.9545, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2989, root_relative_squared_error: 1.0737, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7357, f_measure: 0.8734, kappa: 0.0761, kb_relative_information_score: 2.3751, mean_absolute_error: 0.1135, mean_prior_absolute_error: 0.1601, number_of_instances: 130, precision: 0.8591, predictive_accuracy: 0.8923, prior_entropy: 0.4395, recall: 0.8923, relative_absolute_error: 0.7085, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.3256, root_relative_squared_error: 1.1696, scimark_benchmark: 998.3188, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4553, f_measure: 0.8749, kb_relative_information_score: -5.1939, mean_absolute_error: 0.1608, mean_prior_absolute_error: 0.1601, number_of_instances: 130, precision: 0.8379, predictive_accuracy: 0.9154, prior_entropy: 0.4395, recall: 0.9154, relative_absolute_error: 1.0043, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2786, root_relative_squared_error: 1.0009, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4473, f_measure: 0.8633, kappa: -0.0376, kb_relative_information_score: -23.1557, mean_absolute_error: 0.1598, mean_prior_absolute_error: 0.1601, number_of_instances: 130, precision: 0.8361, predictive_accuracy: 0.8923, prior_entropy: 0.4395, recall: 0.8923, relative_absolute_error: 0.9979, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.3136, root_relative_squared_error: 1.1266, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7464, f_measure: 0.8453, kappa: 0.1671, kb_relative_information_score: -81.0332, mean_absolute_error: 0.1845, mean_prior_absolute_error: 0.1601, number_of_instances: 130, precision: 0.8741, predictive_accuracy: 0.8231, prior_entropy: 0.4395, recall: 0.8231, relative_absolute_error: 1.1521, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.4069, root_relative_squared_error: 1.4618, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8749, kb_relative_information_score: 33.7895, mean_absolute_error: 0.0846, mean_prior_absolute_error: 0.1601, number_of_instances: 130, precision: 0.8379, predictive_accuracy: 0.9154, prior_entropy: 0.4395, recall: 0.9154, relative_absolute_error: 0.5284, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2909, root_relative_squared_error: 1.0449, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8749, kb_relative_information_score: 33.7895, mean_absolute_error: 0.0846, mean_prior_absolute_error: 0.1601, number_of_instances: 130, precision: 0.8379, predictive_accuracy: 0.9154, prior_entropy: 0.4395, recall: 0.9154, relative_absolute_error: 0.5284, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2909, root_relative_squared_error: 1.0449, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6287, f_measure: 0.8554, kappa: -0.0558, kb_relative_information_score: -26.2473, mean_absolute_error: 0.1469, mean_prior_absolute_error: 0.1601, number_of_instances: 130, precision: 0.8348, predictive_accuracy: 0.8769, prior_entropy: 0.4395, recall: 0.8769, relative_absolute_error: 0.9171, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.304, root_relative_squared_error: 1.0919, scimark_benchmark: 1925.3565, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7391, f_measure: 0.8781, kappa: 0.0924, kb_relative_information_score: -39.3028, mean_absolute_error: 0.1429, mean_prior_absolute_error: 0.1601, number_of_instances: 130, precision: 0.8639, predictive_accuracy: 0.9, prior_entropy: 0.4395, recall: 0.9, relative_absolute_error: 0.8921, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2935, root_relative_squared_error: 1.0544, scimark_benchmark: 1925.3565, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5699, f_measure: 0.8812, kappa: 0.1674, kb_relative_information_score: 6.4114, mean_absolute_error: 0.1143, mean_prior_absolute_error: 0.1601, number_of_instances: 130, precision: 0.8726, predictive_accuracy: 0.8923, prior_entropy: 0.4395, recall: 0.8923, relative_absolute_error: 0.7137, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.3255, root_relative_squared_error: 1.1693, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5485, f_measure: 0.9024, kappa: 0.2588, kb_relative_information_score: 17.6275, mean_absolute_error: 0.1309, mean_prior_absolute_error: 0.1601, number_of_instances: 130, precision: 0.9069, predictive_accuracy: 0.9231, prior_entropy: 0.4395, recall: 0.9231, relative_absolute_error: 0.8174, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2683, root_relative_squared_error: 0.9639, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4045, f_measure: 0.8711, kappa: -0.0143, kb_relative_information_score: -16.0476, mean_absolute_error: 0.1613, mean_prior_absolute_error: 0.1601, number_of_instances: 130, precision: 0.8373, predictive_accuracy: 0.9077, prior_entropy: 0.4395, recall: 0.9077, relative_absolute_error: 1.0072, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2948, root_relative_squared_error: 1.0589, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6417, f_measure: 0.8688, kappa: 0.0616, kb_relative_information_score: -65.4787, mean_absolute_error: 0.1528, mean_prior_absolute_error: 0.1601, number_of_instances: 130, precision: 0.8557, predictive_accuracy: 0.8846, prior_entropy: 0.4395, recall: 0.8846, relative_absolute_error: 0.9545, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2989, root_relative_squared_error: 1.0737, scimark_benchmark: 1892.0925, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4553, f_measure: 0.8749, kb_relative_information_score: -5.1939, mean_absolute_error: 0.1608, mean_prior_absolute_error: 0.1601, number_of_instances: 130, precision: 0.8379, predictive_accuracy: 0.9154, prior_entropy: 0.4395, recall: 0.9154, relative_absolute_error: 1.0043, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2786, root_relative_squared_error: 1.0009, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4473, f_measure: 0.8633, kappa: -0.0376, kb_relative_information_score: -23.1557, mean_absolute_error: 0.1598, mean_prior_absolute_error: 0.1601, number_of_instances: 130, precision: 0.8361, predictive_accuracy: 0.8923, prior_entropy: 0.4395, recall: 0.8923, relative_absolute_error: 0.9979, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.3136, root_relative_squared_error: 1.1266, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6173, f_measure: 0.8554, kappa: -0.0558, kb_relative_information_score: -26.2445, mean_absolute_error: 0.1469, mean_prior_absolute_error: 0.1601, number_of_instances: 130, precision: 0.8348, predictive_accuracy: 0.8769, prior_entropy: 0.4395, recall: 0.8769, relative_absolute_error: 0.9171, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.304, root_relative_squared_error: 1.0919, scimark_benchmark: 1834.908, usercpu_time_millis: 46.875, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7364, f_measure: 0.8734, kappa: 0.0761, kb_relative_information_score: 1.796, mean_absolute_error: 0.1136, mean_prior_absolute_error: 0.1601, number_of_instances: 130, precision: 0.8591, predictive_accuracy: 0.8923, prior_entropy: 0.4395, recall: 0.8923, relative_absolute_error: 0.7097, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.3257, root_relative_squared_error: 1.1698, scimark_benchmark: 1834.908, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7364, f_measure: 0.8734, kappa: 0.0761, kb_relative_information_score: 1.796, mean_absolute_error: 0.1136, mean_prior_absolute_error: 0.1601, number_of_instances: 130, precision: 0.8591, predictive_accuracy: 0.8923, prior_entropy: 0.4395, recall: 0.8923, relative_absolute_error: 0.7097, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.3257, root_relative_squared_error: 1.1698, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5978, f_measure: 0.8711, kappa: -0.0143, kb_relative_information_score: -71.3374, mean_absolute_error: 0.1509, mean_prior_absolute_error: 0.1601, number_of_instances: 130, precision: 0.8373, predictive_accuracy: 0.9077, prior_entropy: 0.4395, recall: 0.9077, relative_absolute_error: 0.9425, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2859, root_relative_squared_error: 1.0271, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4572, f_measure: 0.8711, kappa: -0.0143, kb_relative_information_score: -3.6434, mean_absolute_error: 0.1581, mean_prior_absolute_error: 0.1601, number_of_instances: 130, precision: 0.8373, predictive_accuracy: 0.9077, prior_entropy: 0.4395, recall: 0.9077, relative_absolute_error: 0.9871, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2873, root_relative_squared_error: 1.032, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6345, f_measure: 0.8711, kappa: -0.0143, kb_relative_information_score: -76.0964, mean_absolute_error: 0.1539, mean_prior_absolute_error: 0.1601, number_of_instances: 130, precision: 0.8373, predictive_accuracy: 0.9077, prior_entropy: 0.4395, recall: 0.9077, relative_absolute_error: 0.9611, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2796, root_relative_squared_error: 1.0045, scimark_benchmark: 1788.6668, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6291, f_measure: 0.8749, kb_relative_information_score: -72.0769, mean_absolute_error: 0.1487, mean_prior_absolute_error: 0.1601, number_of_instances: 130, precision: 0.8379, predictive_accuracy: 0.9154, prior_entropy: 0.4395, recall: 0.9154, relative_absolute_error: 0.9283, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.275, root_relative_squared_error: 0.9879, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8749, kb_relative_information_score: 33.7895, mean_absolute_error: 0.0846, mean_prior_absolute_error: 0.1601, number_of_instances: 130, precision: 0.8379, predictive_accuracy: 0.9154, prior_entropy: 0.4395, recall: 0.9154, relative_absolute_error: 0.5284, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2909, root_relative_squared_error: 1.0449, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8749, kb_relative_information_score: 33.7895, mean_absolute_error: 0.0846, mean_prior_absolute_error: 0.1601, number_of_instances: 130, precision: 0.8379, predictive_accuracy: 0.9154, prior_entropy: 0.4395, recall: 0.9154, relative_absolute_error: 0.5284, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2909, root_relative_squared_error: 1.0449, scimark_benchmark: 1521.1787, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7391, f_measure: 0.8781, kappa: 0.0924, kb_relative_information_score: -39.3028, mean_absolute_error: 0.1429, mean_prior_absolute_error: 0.1601, number_of_instances: 130, precision: 0.8639, predictive_accuracy: 0.9, prior_entropy: 0.4395, recall: 0.9, relative_absolute_error: 0.8921, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2935, root_relative_squared_error: 1.0544, scimark_benchmark: 831.1513, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5752, f_measure: 0.9156, kappa: 0.3716, kb_relative_information_score: 24.8894, mean_absolute_error: 0.1252, mean_prior_absolute_error: 0.1601, number_of_instances: 130, precision: 0.9207, predictive_accuracy: 0.9308, prior_entropy: 0.4395, recall: 0.9308, relative_absolute_error: 0.7818, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.255, root_relative_squared_error: 0.9161, scimark_benchmark: 810.0083, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6704, f_measure: 0.8672, kappa: -0.0267, kb_relative_information_score: -41.28, mean_absolute_error: 0.129, mean_prior_absolute_error: 0.1601, number_of_instances: 130, precision: 0.8367, predictive_accuracy: 0.9, prior_entropy: 0.4395, recall: 0.9, relative_absolute_error: 0.8053, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2843, root_relative_squared_error: 1.0212, scimark_benchmark: 1447.2612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5963, f_measure: 0.8749, kb_relative_information_score: -65.7511, mean_absolute_error: 0.1457, mean_prior_absolute_error: 0.1601, number_of_instances: 130, precision: 0.8379, predictive_accuracy: 0.9154, prior_entropy: 0.4395, recall: 0.9154, relative_absolute_error: 0.91, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2743, root_relative_squared_error: 0.9854, scimark_benchmark: 1447.2612, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5871, f_measure: 0.8749, kb_relative_information_score: -76.4523, mean_absolute_error: 0.1528, mean_prior_absolute_error: 0.1601, number_of_instances: 130, precision: 0.8379, predictive_accuracy: 0.9154, prior_entropy: 0.4395, recall: 0.9154, relative_absolute_error: 0.9545, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2832, root_relative_squared_error: 1.0174, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6341, f_measure: 0.8711, kappa: -0.0143, kb_relative_information_score: -11.2418, mean_absolute_error: 0.1186, mean_prior_absolute_error: 0.1601, number_of_instances: 130, precision: 0.8373, predictive_accuracy: 0.9077, prior_entropy: 0.4395, recall: 0.9077, relative_absolute_error: 0.7409, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2966, root_relative_squared_error: 1.0654, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7086, f_measure: 0.8749, kb_relative_information_score: -37.8976, mean_absolute_error: 0.1314, mean_prior_absolute_error: 0.1601, number_of_instances: 130, precision: 0.8379, predictive_accuracy: 0.9154, prior_entropy: 0.4395, recall: 0.9154, relative_absolute_error: 0.8205, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2745, root_relative_squared_error: 0.9861, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5898, f_measure: 0.8749, kb_relative_information_score: -71.9374, mean_absolute_error: 0.1489, mean_prior_absolute_error: 0.1601, number_of_instances: 130, precision: 0.8379, predictive_accuracy: 0.9154, prior_entropy: 0.4395, recall: 0.9154, relative_absolute_error: 0.9296, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2779, root_relative_squared_error: 0.9983, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5371, f_measure: 0.8828, kappa: 0.1106, kb_relative_information_score: 25.6053, mean_absolute_error: 0.0923, mean_prior_absolute_error: 0.1601, number_of_instances: 130, precision: 0.8715, predictive_accuracy: 0.9077, prior_entropy: 0.4395, recall: 0.9077, relative_absolute_error: 0.5764, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.3038, root_relative_squared_error: 1.0914, usercpu_time_millis: 0.954, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 0.944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8749, kb_relative_information_score: 33.7895, mean_absolute_error: 0.0846, mean_prior_absolute_error: 0.1601, number_of_instances: 130, precision: 0.8379, predictive_accuracy: 0.9154, prior_entropy: 0.4395, recall: 0.9154, relative_absolute_error: 0.5284, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2909, root_relative_squared_error: 1.0449, usercpu_time_millis: 2.242, usercpu_time_millis_testing: 0.227, usercpu_time_millis_training: 2.015,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

OpenML bootcamp

From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs