Task
Supervised Classification on fri_c1_1000_5

Supervised Classification on fri_c1_1000_5

Task 3609 Supervised Classification fri_c1_1000_5 398 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8696, f_measure: 0.8701, kappa: 0.7383, kb_relative_information_score: 736.0028, mean_absolute_error: 0.1308, mean_prior_absolute_error: 0.4963, number_of_instances: 1000, precision: 0.8702, predictive_accuracy: 0.87, prior_entropy: 0.9947, recall: 0.87, relative_absolute_error: 0.2636, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3602, root_relative_squared_error: 0.723, scimark_benchmark: 1838.8826, usercpu_time_millis: 46.8003, usercpu_time_millis_testing: 46.8003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7058, f_measure: 0.6459, kappa: 0.2854, kb_relative_information_score: 167.8314, mean_absolute_error: 0.4226, mean_prior_absolute_error: 0.4963, number_of_instances: 1000, precision: 0.6458, predictive_accuracy: 0.647, prior_entropy: 0.9947, recall: 0.647, relative_absolute_error: 0.8516, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.4699, root_relative_squared_error: 0.9432, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7194, f_measure: 0.6588, kappa: 0.3114, kb_relative_information_score: 180.1335, mean_absolute_error: 0.4171, mean_prior_absolute_error: 0.4963, number_of_instances: 1000, precision: 0.6588, predictive_accuracy: 0.66, prior_entropy: 0.9947, recall: 0.66, relative_absolute_error: 0.8404, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.4632, root_relative_squared_error: 0.9298, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4958, f_measure: 0.3822, kb_relative_information_score: -0.0264, mean_absolute_error: 0.4963, mean_prior_absolute_error: 0.4963, number_of_instances: 1000, precision: 0.2948, predictive_accuracy: 0.543, prior_entropy: 0.9947, recall: 0.543, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8406, f_measure: 0.842, kappa: 0.6815, kb_relative_information_score: 680.594, mean_absolute_error: 0.158, mean_prior_absolute_error: 0.4963, number_of_instances: 1000, precision: 0.842, predictive_accuracy: 0.842, prior_entropy: 0.9947, recall: 0.842, relative_absolute_error: 0.3184, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3975, root_relative_squared_error: 0.7979, usercpu_time_millis: 13.453, usercpu_time_millis_testing: 0.479, usercpu_time_millis_training: 12.974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8604, f_measure: 0.8583, kappa: 0.7159, kb_relative_information_score: 712.9367, mean_absolute_error: 0.142, mean_prior_absolute_error: 0.4963, number_of_instances: 1000, precision: 0.8613, predictive_accuracy: 0.858, prior_entropy: 0.9947, recall: 0.858, relative_absolute_error: 0.2861, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3768, root_relative_squared_error: 0.7565, usercpu_time_millis: 1.716, usercpu_time_millis_testing: 0.077, usercpu_time_millis_training: 1.639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9306, f_measure: 0.9291, kappa: 0.8576, kb_relative_information_score: 856.4576, mean_absolute_error: 0.071, mean_prior_absolute_error: 0.4963, number_of_instances: 1000, precision: 0.9304, predictive_accuracy: 0.929, prior_entropy: 0.9947, recall: 0.929, relative_absolute_error: 0.1431, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.2665, root_relative_squared_error: 0.5349, usercpu_time_millis: 1.301, usercpu_time_millis_testing: 0.071, usercpu_time_millis_training: 1.23,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.634, f_measure: 0.6383, kappa: 0.2698, kb_relative_information_score: 272.2668, mean_absolute_error: 0.36, mean_prior_absolute_error: 0.4963, number_of_instances: 1000, precision: 0.6384, predictive_accuracy: 0.64, prior_entropy: 0.9947, recall: 0.64, relative_absolute_error: 0.7254, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.6, root_relative_squared_error: 1.2045, usercpu_time_millis: 0.543, usercpu_time_millis_testing: 0.033, usercpu_time_millis_training: 0.51,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6321, f_measure: 0.636, kappa: 0.2654, kb_relative_information_score: 266.2025, mean_absolute_error: 0.363, mean_prior_absolute_error: 0.4963, number_of_instances: 1000, precision: 0.6358, predictive_accuracy: 0.637, prior_entropy: 0.9947, recall: 0.637, relative_absolute_error: 0.7314, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.6025, root_relative_squared_error: 1.2095, usercpu_time_millis: 0.316, usercpu_time_millis_testing: 0.017, usercpu_time_millis_training: 0.299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7282, f_measure: 0.7308, kappa: 0.4571, kb_relative_information_score: 456.2162, mean_absolute_error: 0.269, mean_prior_absolute_error: 0.4963, number_of_instances: 1000, precision: 0.7307, predictive_accuracy: 0.731, prior_entropy: 0.9947, recall: 0.731, relative_absolute_error: 0.542, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.5187, root_relative_squared_error: 1.0412, usercpu_time_millis: 0.56, usercpu_time_millis_testing: 0.019, usercpu_time_millis_training: 0.541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.885, f_measure: 0.886, kappa: 0.7702, kb_relative_information_score: 769.5365, mean_absolute_error: 0.114, mean_prior_absolute_error: 0.4963, number_of_instances: 1000, precision: 0.886, predictive_accuracy: 0.886, prior_entropy: 0.9947, recall: 0.886, relative_absolute_error: 0.2297, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3376, root_relative_squared_error: 0.6778, usercpu_time_millis: 5.458, usercpu_time_millis_testing: 0.473, usercpu_time_millis_training: 4.985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8632, f_measure: 0.8649, kappa: 0.7276, kb_relative_information_score: 727.0867, mean_absolute_error: 0.135, mean_prior_absolute_error: 0.4963, number_of_instances: 1000, precision: 0.8649, predictive_accuracy: 0.865, prior_entropy: 0.9947, recall: 0.865, relative_absolute_error: 0.272, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3674, root_relative_squared_error: 0.7376, usercpu_time_millis: 0.134, usercpu_time_millis_testing: 0.026, usercpu_time_millis_training: 0.108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6518, f_measure: 0.6548, kappa: 0.304, kb_relative_information_score: 302.5881, mean_absolute_error: 0.345, mean_prior_absolute_error: 0.4963, number_of_instances: 1000, precision: 0.6546, predictive_accuracy: 0.655, prior_entropy: 0.9947, recall: 0.655, relative_absolute_error: 0.6951, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.5874, root_relative_squared_error: 1.1791, usercpu_time_millis: 20.603, usercpu_time_millis_testing: 0.13, usercpu_time_millis_training: 20.473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9063, f_measure: 0.9088, kappa: 0.8159, kb_relative_information_score: 816.0292, mean_absolute_error: 0.091, mean_prior_absolute_error: 0.4963, number_of_instances: 1000, precision: 0.9095, predictive_accuracy: 0.909, prior_entropy: 0.9947, recall: 0.909, relative_absolute_error: 0.1834, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3017, root_relative_squared_error: 0.6056, usercpu_time_millis: 47.714, usercpu_time_millis_testing: 6.49, usercpu_time_millis_training: 41.224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9118, f_measure: 0.9138, kappa: 0.8262, kb_relative_information_score: 826.1363, mean_absolute_error: 0.086, mean_prior_absolute_error: 0.4963, number_of_instances: 1000, precision: 0.9143, predictive_accuracy: 0.914, prior_entropy: 0.9947, recall: 0.914, relative_absolute_error: 0.1733, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.2933, root_relative_squared_error: 0.5887, usercpu_time_millis: 7.795, usercpu_time_millis_testing: 0.476, usercpu_time_millis_training: 7.319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9174, f_measure: 0.9189, kappa: 0.8365, kb_relative_information_score: 836.2434, mean_absolute_error: 0.081, mean_prior_absolute_error: 0.4963, number_of_instances: 1000, precision: 0.9191, predictive_accuracy: 0.919, prior_entropy: 0.9947, recall: 0.919, relative_absolute_error: 0.1632, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.2846, root_relative_squared_error: 0.5713, usercpu_time_millis: 6.292, usercpu_time_millis_testing: 0.314, usercpu_time_millis_training: 5.978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6712, f_measure: 0.6739, kappa: 0.3427, kb_relative_information_score: 340.9951, mean_absolute_error: 0.326, mean_prior_absolute_error: 0.4963, number_of_instances: 1000, precision: 0.6738, predictive_accuracy: 0.674, prior_entropy: 0.9947, recall: 0.674, relative_absolute_error: 0.6568, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.571, root_relative_squared_error: 1.1462, usercpu_time_millis: 0.199, usercpu_time_millis_testing: 0.057, usercpu_time_millis_training: 0.142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6309, f_measure: 0.6352, kappa: 0.2636, kb_relative_information_score: 266.2025, mean_absolute_error: 0.363, mean_prior_absolute_error: 0.4963, number_of_instances: 1000, precision: 0.6354, predictive_accuracy: 0.637, prior_entropy: 0.9947, recall: 0.637, relative_absolute_error: 0.7314, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.6025, root_relative_squared_error: 1.2095, usercpu_time_millis: 0.227, usercpu_time_millis_testing: 0.044, usercpu_time_millis_training: 0.183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6304, f_measure: 0.6348, kappa: 0.2628, kb_relative_information_score: 266.2025, mean_absolute_error: 0.363, mean_prior_absolute_error: 0.4963, number_of_instances: 1000, precision: 0.6352, predictive_accuracy: 0.637, prior_entropy: 0.9947, recall: 0.637, relative_absolute_error: 0.7314, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.6025, root_relative_squared_error: 1.2095, usercpu_time_millis: 0.573, usercpu_time_millis_testing: 0.034, usercpu_time_millis_training: 0.539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8062, f_measure: 0.8094, kappa: 0.6153, kb_relative_information_score: 615.9085, mean_absolute_error: 0.19, mean_prior_absolute_error: 0.4963, number_of_instances: 1000, precision: 0.8101, predictive_accuracy: 0.81, prior_entropy: 0.9947, recall: 0.81, relative_absolute_error: 0.3828, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.4359, root_relative_squared_error: 0.875, usercpu_time_millis: 144.186, usercpu_time_millis_testing: 0.215, usercpu_time_millis_training: 143.971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6335, f_measure: 0.6379, kappa: 0.2691, kb_relative_information_score: 272.2668, mean_absolute_error: 0.36, mean_prior_absolute_error: 0.4963, number_of_instances: 1000, precision: 0.6383, predictive_accuracy: 0.64, prior_entropy: 0.9947, recall: 0.64, relative_absolute_error: 0.7254, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.6, root_relative_squared_error: 1.2045, usercpu_time_millis: 0.186, usercpu_time_millis_testing: 0.031, usercpu_time_millis_training: 0.155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8774, f_measure: 0.8771, kappa: 0.7528, kb_relative_information_score: 751.3437, mean_absolute_error: 0.123, mean_prior_absolute_error: 0.4963, number_of_instances: 1000, precision: 0.8777, predictive_accuracy: 0.877, prior_entropy: 0.9947, recall: 0.877, relative_absolute_error: 0.2478, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3507, root_relative_squared_error: 0.704, usercpu_time_millis: 2.763, usercpu_time_millis_testing: 0.888, usercpu_time_millis_training: 1.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9324, f_measure: 0.933, kappa: 0.865, kb_relative_information_score: 864.5433, mean_absolute_error: 0.067, mean_prior_absolute_error: 0.4963, number_of_instances: 1000, precision: 0.933, predictive_accuracy: 0.933, prior_entropy: 0.9947, recall: 0.933, relative_absolute_error: 0.135, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.2588, root_relative_squared_error: 0.5196, usercpu_time_millis: 399.606, usercpu_time_millis_testing: 5.136, usercpu_time_millis_training: 394.47,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7229, f_measure: 0.7225, kappa: 0.4431, kb_relative_information_score: 438.0234, mean_absolute_error: 0.278, mean_prior_absolute_error: 0.4963, number_of_instances: 1000, precision: 0.7247, predictive_accuracy: 0.722, prior_entropy: 0.9947, recall: 0.722, relative_absolute_error: 0.5601, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.5273, root_relative_squared_error: 1.0584, usercpu_time_millis: 78.325, usercpu_time_millis_testing: 0.027, usercpu_time_millis_training: 78.298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5781, f_measure: 0.5567, kappa: 0.1644, kb_relative_information_score: 203.5385, mean_absolute_error: 0.394, mean_prior_absolute_error: 0.4963, number_of_instances: 1000, precision: 0.6339, predictive_accuracy: 0.606, prior_entropy: 0.9947, recall: 0.606, relative_absolute_error: 0.7939, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.6277, root_relative_squared_error: 1.2601, usercpu_time_millis: 1.727, usercpu_time_millis_testing: 0.019, usercpu_time_millis_training: 1.708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6967, f_measure: 0.7007, kappa: 0.3958, kb_relative_information_score: 397.5949, mean_absolute_error: 0.298, mean_prior_absolute_error: 0.4963, number_of_instances: 1000, precision: 0.7012, predictive_accuracy: 0.702, prior_entropy: 0.9947, recall: 0.702, relative_absolute_error: 0.6004, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.5459, root_relative_squared_error: 1.0958, usercpu_time_millis: 1.649, usercpu_time_millis_testing: 0.529, usercpu_time_millis_training: 1.12,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6177, f_measure: 0.6224, kappa: 0.2385, kb_relative_information_score: 245.9883, mean_absolute_error: 0.373, mean_prior_absolute_error: 0.4963, number_of_instances: 1000, precision: 0.6249, predictive_accuracy: 0.627, prior_entropy: 0.9947, recall: 0.627, relative_absolute_error: 0.7515, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.6107, root_relative_squared_error: 1.226, usercpu_time_millis: 0.338, usercpu_time_millis_testing: 0.018, usercpu_time_millis_training: 0.32,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9023, f_measure: 0.9021, kappa: 0.8029, kb_relative_information_score: 801.8793, mean_absolute_error: 0.098, mean_prior_absolute_error: 0.4963, number_of_instances: 1000, precision: 0.9024, predictive_accuracy: 0.902, prior_entropy: 0.9947, recall: 0.902, relative_absolute_error: 0.1975, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3131, root_relative_squared_error: 0.6284, usercpu_time_millis: 0.879, usercpu_time_millis_testing: 0.035, usercpu_time_millis_training: 0.844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6558, f_measure: 0.6598, kappa: 0.3133, kb_relative_information_score: 314.7166, mean_absolute_error: 0.339, mean_prior_absolute_error: 0.4963, number_of_instances: 1000, precision: 0.6598, predictive_accuracy: 0.661, prior_entropy: 0.9947, recall: 0.661, relative_absolute_error: 0.683, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.5822, root_relative_squared_error: 1.1688, usercpu_time_millis: 0.661, usercpu_time_millis_testing: 0.556, usercpu_time_millis_training: 0.105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9214, f_measure: 0.922, kappa: 0.8428, kb_relative_information_score: 842.3077, mean_absolute_error: 0.078, mean_prior_absolute_error: 0.4963, number_of_instances: 1000, precision: 0.922, predictive_accuracy: 0.922, prior_entropy: 0.9947, recall: 0.922, relative_absolute_error: 0.1572, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.2793, root_relative_squared_error: 0.5606, usercpu_time_millis: 19.443, usercpu_time_millis_testing: 1.26, usercpu_time_millis_training: 18.183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6335, f_measure: 0.6379, kappa: 0.2691, kb_relative_information_score: 272.2668, mean_absolute_error: 0.36, mean_prior_absolute_error: 0.4963, number_of_instances: 1000, precision: 0.6383, predictive_accuracy: 0.64, prior_entropy: 0.9947, recall: 0.64, relative_absolute_error: 0.7254, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.6, root_relative_squared_error: 1.2045, usercpu_time_millis: 0.225, usercpu_time_millis_testing: 0.046, usercpu_time_millis_training: 0.179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8152, f_measure: 0.8143, kappa: 0.6272, kb_relative_information_score: 623.9942, mean_absolute_error: 0.186, mean_prior_absolute_error: 0.4963, number_of_instances: 1000, precision: 0.8161, predictive_accuracy: 0.814, prior_entropy: 0.9947, recall: 0.814, relative_absolute_error: 0.3748, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.4313, root_relative_squared_error: 0.8658, usercpu_time_millis: 2.142, usercpu_time_millis_testing: 0.063, usercpu_time_millis_training: 2.079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6306, f_measure: 0.635, kappa: 0.2631, kb_relative_information_score: 266.2025, mean_absolute_error: 0.363, mean_prior_absolute_error: 0.4963, number_of_instances: 1000, precision: 0.6353, predictive_accuracy: 0.637, prior_entropy: 0.9947, recall: 0.637, relative_absolute_error: 0.7314, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.6025, root_relative_squared_error: 1.2095, usercpu_time_millis: 1.405, usercpu_time_millis_testing: 0.022, usercpu_time_millis_training: 1.383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6335, f_measure: 0.6379, kappa: 0.2691, kb_relative_information_score: 272.2668, mean_absolute_error: 0.36, mean_prior_absolute_error: 0.4963, number_of_instances: 1000, precision: 0.6383, predictive_accuracy: 0.64, prior_entropy: 0.9947, recall: 0.64, relative_absolute_error: 0.7254, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.6, root_relative_squared_error: 1.2045, usercpu_time_millis: 0.492, usercpu_time_millis_testing: 0.033, usercpu_time_millis_training: 0.459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6329, f_measure: 0.6372, kappa: 0.2677, kb_relative_information_score: 270.2454, mean_absolute_error: 0.361, mean_prior_absolute_error: 0.4963, number_of_instances: 1000, precision: 0.6374, predictive_accuracy: 0.639, prior_entropy: 0.9947, recall: 0.639, relative_absolute_error: 0.7274, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.6008, root_relative_squared_error: 1.2061, usercpu_time_millis: 0.051, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 0.04,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9266, f_measure: 0.9251, kappa: 0.8495, kb_relative_information_score: 848.372, mean_absolute_error: 0.075, mean_prior_absolute_error: 0.4963, number_of_instances: 1000, precision: 0.9264, predictive_accuracy: 0.925, prior_entropy: 0.9947, recall: 0.925, relative_absolute_error: 0.1511, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.2739, root_relative_squared_error: 0.5498, usercpu_time_millis: 0.73, usercpu_time_millis_testing: 0.118, usercpu_time_millis_training: 0.612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.636, f_measure: 0.6403, kappa: 0.2739, kb_relative_information_score: 276.3096, mean_absolute_error: 0.358, mean_prior_absolute_error: 0.4963, number_of_instances: 1000, precision: 0.6404, predictive_accuracy: 0.642, prior_entropy: 0.9947, recall: 0.642, relative_absolute_error: 0.7213, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.5983, root_relative_squared_error: 1.2011, usercpu_time_millis: 0.183, usercpu_time_millis_testing: 0.047, usercpu_time_millis_training: 0.136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.63, f_measure: 0.6343, kappa: 0.2617, kb_relative_information_score: 264.1811, mean_absolute_error: 0.364, mean_prior_absolute_error: 0.4963, number_of_instances: 1000, precision: 0.6344, predictive_accuracy: 0.636, prior_entropy: 0.9947, recall: 0.636, relative_absolute_error: 0.7334, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.6033, root_relative_squared_error: 1.2111, usercpu_time_millis: 0.079, usercpu_time_millis_testing: 0.014, usercpu_time_millis_training: 0.065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9027, f_measure: 0.903, kappa: 0.8047, kb_relative_information_score: 803.9007, mean_absolute_error: 0.097, mean_prior_absolute_error: 0.4963, number_of_instances: 1000, precision: 0.9031, predictive_accuracy: 0.903, prior_entropy: 0.9947, recall: 0.903, relative_absolute_error: 0.1954, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3114, root_relative_squared_error: 0.6252, usercpu_time_millis: 0.226, usercpu_time_millis_testing: 0.211, usercpu_time_millis_training: 0.015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8827, f_measure: 0.8848, kappa: 0.7676, kb_relative_information_score: 767.5151, mean_absolute_error: 0.115, mean_prior_absolute_error: 0.4963, number_of_instances: 1000, precision: 0.8851, predictive_accuracy: 0.885, prior_entropy: 0.9947, recall: 0.885, relative_absolute_error: 0.2317, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3391, root_relative_squared_error: 0.6808, usercpu_time_millis: 3.247, usercpu_time_millis_testing: 0.665, usercpu_time_millis_training: 2.582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8809, f_measure: 0.882, kappa: 0.7622, kb_relative_information_score: 761.4508, mean_absolute_error: 0.118, mean_prior_absolute_error: 0.4963, number_of_instances: 1000, precision: 0.882, predictive_accuracy: 0.882, prior_entropy: 0.9947, recall: 0.882, relative_absolute_error: 0.2378, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3435, root_relative_squared_error: 0.6896, usercpu_time_millis: 3.06, usercpu_time_millis_testing: 0.988, usercpu_time_millis_training: 2.072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8696, f_measure: 0.8701, kappa: 0.7383, kb_relative_information_score: 737.1938, mean_absolute_error: 0.13, mean_prior_absolute_error: 0.4963, number_of_instances: 1000, precision: 0.8702, predictive_accuracy: 0.87, prior_entropy: 0.9947, recall: 0.87, relative_absolute_error: 0.2619, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3606, root_relative_squared_error: 0.7238, usercpu_time_millis: 2.346, usercpu_time_millis_testing: 0.612, usercpu_time_millis_training: 1.734,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6292, f_measure: 0.6338, kappa: 0.261, kb_relative_information_score: 266.2025, mean_absolute_error: 0.363, mean_prior_absolute_error: 0.4963, number_of_instances: 1000, precision: 0.6351, predictive_accuracy: 0.637, prior_entropy: 0.9947, recall: 0.637, relative_absolute_error: 0.7314, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.6025, root_relative_squared_error: 1.2095, usercpu_time_millis: 0.372, usercpu_time_millis_testing: 0.133, usercpu_time_millis_training: 0.239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9398, f_measure: 0.9409, kappa: 0.8809, kb_relative_information_score: 880.7147, mean_absolute_error: 0.059, mean_prior_absolute_error: 0.4963, number_of_instances: 1000, precision: 0.9411, predictive_accuracy: 0.941, prior_entropy: 0.9947, recall: 0.941, relative_absolute_error: 0.1189, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.2429, root_relative_squared_error: 0.4876, usercpu_time_millis: 221.202, usercpu_time_millis_testing: 15, usercpu_time_millis_training: 206.202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6303, f_measure: 0.6345, kappa: 0.2622, kb_relative_information_score: 264.1811, mean_absolute_error: 0.364, mean_prior_absolute_error: 0.4963, number_of_instances: 1000, precision: 0.6345, predictive_accuracy: 0.636, prior_entropy: 0.9947, recall: 0.636, relative_absolute_error: 0.7334, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.6033, root_relative_squared_error: 1.2111, usercpu_time_millis: 2.354, usercpu_time_millis_testing: 0.073, usercpu_time_millis_training: 2.281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3822, kb_relative_information_score: 76.1889, mean_absolute_error: 0.457, mean_prior_absolute_error: 0.4963, number_of_instances: 1000, precision: 0.2948, predictive_accuracy: 0.543, prior_entropy: 0.9947, recall: 0.543, relative_absolute_error: 0.9208, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.676, root_relative_squared_error: 1.3571, usercpu_time_millis: 0.573, usercpu_time_millis_testing: 0.041, usercpu_time_millis_training: 0.532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8772, f_measure: 0.8771, kappa: 0.7527, kb_relative_information_score: 751.3437, mean_absolute_error: 0.123, mean_prior_absolute_error: 0.4963, number_of_instances: 1000, precision: 0.8775, predictive_accuracy: 0.877, prior_entropy: 0.9947, recall: 0.877, relative_absolute_error: 0.2478, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3507, root_relative_squared_error: 0.704, usercpu_time_millis: 64.809, usercpu_time_millis_testing: 8.715, usercpu_time_millis_training: 56.094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9339, f_measure: 0.935, kappa: 0.8689, kb_relative_information_score: 868.5862, mean_absolute_error: 0.065, mean_prior_absolute_error: 0.4963, number_of_instances: 1000, precision: 0.935, predictive_accuracy: 0.935, prior_entropy: 0.9947, recall: 0.935, relative_absolute_error: 0.131, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.255, root_relative_squared_error: 0.5118, usercpu_time_millis: 3.546, usercpu_time_millis_testing: 0.588, usercpu_time_millis_training: 2.958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6519, f_measure: 0.6534, kappa: 0.3029, kb_relative_information_score: 298.5453, mean_absolute_error: 0.347, mean_prior_absolute_error: 0.4963, number_of_instances: 1000, precision: 0.6542, predictive_accuracy: 0.653, prior_entropy: 0.9947, recall: 0.653, relative_absolute_error: 0.6992, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.5891, root_relative_squared_error: 1.1825, usercpu_time_millis: 0.513, usercpu_time_millis_testing: 0.021, usercpu_time_millis_training: 0.492,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8104, f_measure: 0.8051, kappa: 0.6124, kb_relative_information_score: 605.8014, mean_absolute_error: 0.195, mean_prior_absolute_error: 0.4963, number_of_instances: 1000, precision: 0.8153, predictive_accuracy: 0.805, prior_entropy: 0.9947, recall: 0.805, relative_absolute_error: 0.3929, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.4416, root_relative_squared_error: 0.8865, usercpu_time_millis: 3.198, usercpu_time_millis_testing: 0.198, usercpu_time_millis_training: 3,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.745, f_measure: 0.7413, kappa: 0.4843, kb_relative_information_score: 476.4304, mean_absolute_error: 0.259, mean_prior_absolute_error: 0.4963, number_of_instances: 1000, precision: 0.7487, predictive_accuracy: 0.741, prior_entropy: 0.9947, recall: 0.741, relative_absolute_error: 0.5219, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.5089, root_relative_squared_error: 1.0216, usercpu_time_millis: 0.831, usercpu_time_millis_testing: 0.07, usercpu_time_millis_training: 0.761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8589, f_measure: 0.8591, kappa: 0.7164, kb_relative_information_score: 714.9581, mean_absolute_error: 0.141, mean_prior_absolute_error: 0.4963, number_of_instances: 1000, precision: 0.8594, predictive_accuracy: 0.859, prior_entropy: 0.9947, recall: 0.859, relative_absolute_error: 0.2841, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3755, root_relative_squared_error: 0.7538, usercpu_time_millis: 1.81, usercpu_time_millis_testing: 0.072, usercpu_time_millis_training: 1.738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6335, f_measure: 0.6379, kappa: 0.2691, kb_relative_information_score: 272.2668, mean_absolute_error: 0.36, mean_prior_absolute_error: 0.4963, number_of_instances: 1000, precision: 0.6383, predictive_accuracy: 0.64, prior_entropy: 0.9947, recall: 0.64, relative_absolute_error: 0.7254, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.6, root_relative_squared_error: 1.2045, usercpu_time_millis: 0.545, usercpu_time_millis_testing: 0.031, usercpu_time_millis_training: 0.514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9081, f_measure: 0.909, kappa: 0.8165, kb_relative_information_score: 816.0292, mean_absolute_error: 0.091, mean_prior_absolute_error: 0.4963, number_of_instances: 1000, precision: 0.909, predictive_accuracy: 0.909, prior_entropy: 0.9947, recall: 0.909, relative_absolute_error: 0.1834, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3017, root_relative_squared_error: 0.6056, usercpu_time_millis: 4.861, usercpu_time_millis_testing: 0.191, usercpu_time_millis_training: 4.67,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.923, f_measure: 0.8493, kappa: 0.6958, kb_relative_information_score: 471.3633, mean_absolute_error: 0.284, mean_prior_absolute_error: 0.4963, number_of_instances: 1000, precision: 0.8511, predictive_accuracy: 0.85, prior_entropy: 0.9947, recall: 0.85, relative_absolute_error: 0.5723, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3441, root_relative_squared_error: 0.6908, scimark_benchmark: 972.587, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9306, f_measure: 0.9291, kappa: 0.8576, kb_relative_information_score: 856.4576, mean_absolute_error: 0.071, mean_prior_absolute_error: 0.4963, number_of_instances: 1000, precision: 0.9304, predictive_accuracy: 0.929, prior_entropy: 0.9947, recall: 0.929, relative_absolute_error: 0.1431, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.2665, root_relative_squared_error: 0.5349, scimark_benchmark: 942.2392,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7925, f_measure: 0.7241, kappa: 0.4445, kb_relative_information_score: 252.5423, mean_absolute_error: 0.3852, mean_prior_absolute_error: 0.4963, number_of_instances: 1000, precision: 0.7243, predictive_accuracy: 0.724, prior_entropy: 0.9947, recall: 0.724, relative_absolute_error: 0.7762, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.4308, root_relative_squared_error: 0.8647, scimark_benchmark: 943.8235, usercpu_time_millis: 26520, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 26340,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9328, f_measure: 0.8506, kappa: 0.6986, kb_relative_information_score: 608.671, mean_absolute_error: 0.2054, mean_prior_absolute_error: 0.4963, number_of_instances: 1000, precision: 0.8512, predictive_accuracy: 0.851, prior_entropy: 0.9947, recall: 0.851, relative_absolute_error: 0.4138, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.321, root_relative_squared_error: 0.6444, scimark_benchmark: 974.2014, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7925, f_measure: 0.7241, kappa: 0.4445, kb_relative_information_score: 252.5423, mean_absolute_error: 0.3852, mean_prior_absolute_error: 0.4963, number_of_instances: 1000, precision: 0.7243, predictive_accuracy: 0.724, prior_entropy: 0.9947, recall: 0.724, relative_absolute_error: 0.7762, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.4308, root_relative_squared_error: 0.8647, scimark_benchmark: 944.1783, usercpu_time_millis: 31090, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 30930,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9265, f_measure: 0.874, kappa: 0.7459, kb_relative_information_score: 662.3265, mean_absolute_error: 0.1772, mean_prior_absolute_error: 0.4963, number_of_instances: 1000, precision: 0.8739, predictive_accuracy: 0.874, prior_entropy: 0.9947, recall: 0.874, relative_absolute_error: 0.357, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3207, root_relative_squared_error: 0.6438, scimark_benchmark: 936.3373, usercpu_time_millis: 220, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.9249, kappa: 0.8486, kb_relative_information_score: 747.8429, mean_absolute_error: 0.1359, mean_prior_absolute_error: 0.4963, number_of_instances: 1000, precision: 0.9251, predictive_accuracy: 0.925, prior_entropy: 0.9947, recall: 0.925, relative_absolute_error: 0.2738, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.2386, root_relative_squared_error: 0.4789, scimark_benchmark: 943.1009, usercpu_time_millis: 260, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 220,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.923, f_measure: 0.8493, kappa: 0.6958, kb_relative_information_score: 471.3633, mean_absolute_error: 0.284, mean_prior_absolute_error: 0.4963, number_of_instances: 1000, precision: 0.8511, predictive_accuracy: 0.85, prior_entropy: 0.9947, recall: 0.85, relative_absolute_error: 0.5723, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3441, root_relative_squared_error: 0.6908, scimark_benchmark: 901.6243, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9274, f_measure: 0.8575, kappa: 0.7124, kb_relative_information_score: 592.1873, mean_absolute_error: 0.2166, mean_prior_absolute_error: 0.4963, number_of_instances: 1000, precision: 0.8586, predictive_accuracy: 0.858, prior_entropy: 0.9947, recall: 0.858, relative_absolute_error: 0.4364, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3216, root_relative_squared_error: 0.6457, scimark_benchmark: 944.0133, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9306, f_measure: 0.9291, kappa: 0.8576, kb_relative_information_score: 856.4576, mean_absolute_error: 0.071, mean_prior_absolute_error: 0.4963, number_of_instances: 1000, precision: 0.9304, predictive_accuracy: 0.929, prior_entropy: 0.9947, recall: 0.929, relative_absolute_error: 0.1431, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.2665, root_relative_squared_error: 0.5349, scimark_benchmark: 930.404, usercpu_time_millis: 160, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9306, f_measure: 0.9291, kappa: 0.8576, kb_relative_information_score: 856.4576, mean_absolute_error: 0.071, mean_prior_absolute_error: 0.4963, number_of_instances: 1000, precision: 0.9304, predictive_accuracy: 0.929, prior_entropy: 0.9947, recall: 0.929, relative_absolute_error: 0.1431, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.2665, root_relative_squared_error: 0.5349, scimark_benchmark: 934.5964, usercpu_time_millis: 160, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9145, f_measure: 0.8481, kappa: 0.6943, kb_relative_information_score: 569.4154, mean_absolute_error: 0.2258, mean_prior_absolute_error: 0.4963, number_of_instances: 1000, precision: 0.8484, predictive_accuracy: 0.848, prior_entropy: 0.9947, recall: 0.848, relative_absolute_error: 0.4549, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3394, root_relative_squared_error: 0.6814, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9328, f_measure: 0.8506, kappa: 0.6986, kb_relative_information_score: 608.671, mean_absolute_error: 0.2054, mean_prior_absolute_error: 0.4963, number_of_instances: 1000, precision: 0.8512, predictive_accuracy: 0.851, prior_entropy: 0.9947, recall: 0.851, relative_absolute_error: 0.4138, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.321, root_relative_squared_error: 0.6444, scimark_benchmark: 903.2737, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9658, f_measure: 0.8878, kappa: 0.7737, kb_relative_information_score: 682.1101, mean_absolute_error: 0.1698, mean_prior_absolute_error: 0.4963, number_of_instances: 1000, precision: 0.8881, predictive_accuracy: 0.888, prior_entropy: 0.9947, recall: 0.888, relative_absolute_error: 0.3421, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.2736, root_relative_squared_error: 0.5492, scimark_benchmark: 933.3455, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7925, f_measure: 0.7241, kappa: 0.4445, kb_relative_information_score: 252.5423, mean_absolute_error: 0.3852, mean_prior_absolute_error: 0.4963, number_of_instances: 1000, precision: 0.7243, predictive_accuracy: 0.724, prior_entropy: 0.9947, recall: 0.724, relative_absolute_error: 0.7762, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.4308, root_relative_squared_error: 0.8647, scimark_benchmark: 903.2737, usercpu_time_millis: 23770, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 23680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9328, f_measure: 0.8506, kappa: 0.6986, kb_relative_information_score: 608.671, mean_absolute_error: 0.2054, mean_prior_absolute_error: 0.4963, number_of_instances: 1000, precision: 0.8512, predictive_accuracy: 0.851, prior_entropy: 0.9947, recall: 0.851, relative_absolute_error: 0.4138, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.321, root_relative_squared_error: 0.6444, scimark_benchmark: 936.9595, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.9249, kappa: 0.8486, kb_relative_information_score: 747.8429, mean_absolute_error: 0.1359, mean_prior_absolute_error: 0.4963, number_of_instances: 1000, precision: 0.9251, predictive_accuracy: 0.925, prior_entropy: 0.9947, recall: 0.925, relative_absolute_error: 0.2738, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.2386, root_relative_squared_error: 0.4789, scimark_benchmark: 936.3213, usercpu_time_millis: 300, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.933, kappa: 0.8651, kb_relative_information_score: 720.6776, mean_absolute_error: 0.156, mean_prior_absolute_error: 0.4963, number_of_instances: 1000, precision: 0.9331, predictive_accuracy: 0.933, prior_entropy: 0.9947, recall: 0.933, relative_absolute_error: 0.3143, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.2319, root_relative_squared_error: 0.4654, scimark_benchmark: 936.3373, usercpu_time_millis: 3170, usercpu_time_millis_testing: 660, usercpu_time_millis_training: 2510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9852, f_measure: 0.93, kappa: 0.8592, kb_relative_information_score: 716.5262, mean_absolute_error: 0.1576, mean_prior_absolute_error: 0.4963, number_of_instances: 1000, precision: 0.9302, predictive_accuracy: 0.93, prior_entropy: 0.9947, recall: 0.93, relative_absolute_error: 0.3175, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.2344, root_relative_squared_error: 0.4706, scimark_benchmark: 939.8002, usercpu_time_millis: 1650, usercpu_time_millis_testing: 370, usercpu_time_millis_training: 1280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.929, kappa: 0.8572, kb_relative_information_score: 719.0855, mean_absolute_error: 0.1559, mean_prior_absolute_error: 0.4963, number_of_instances: 1000, precision: 0.9293, predictive_accuracy: 0.929, prior_entropy: 0.9947, recall: 0.929, relative_absolute_error: 0.3142, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.2347, root_relative_squared_error: 0.4712, scimark_benchmark: 921.2615, usercpu_time_millis: 840, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.931, kappa: 0.8611, kb_relative_information_score: 714.4536, mean_absolute_error: 0.159, mean_prior_absolute_error: 0.4963, number_of_instances: 1000, precision: 0.9311, predictive_accuracy: 0.931, prior_entropy: 0.9947, recall: 0.931, relative_absolute_error: 0.3203, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.2369, root_relative_squared_error: 0.4755, scimark_benchmark: 869.7667, usercpu_time_millis: 450, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9804, f_measure: 0.9261, kappa: 0.8512, kb_relative_information_score: 706.6597, mean_absolute_error: 0.1619, mean_prior_absolute_error: 0.4963, number_of_instances: 1000, precision: 0.9263, predictive_accuracy: 0.926, prior_entropy: 0.9947, recall: 0.926, relative_absolute_error: 0.3262, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.2452, root_relative_squared_error: 0.4923, scimark_benchmark: 936.1714, usercpu_time_millis: 390, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9495, f_measure: 0.8748, kappa: 0.7476, kb_relative_information_score: 658.9048, mean_absolute_error: 0.1785, mean_prior_absolute_error: 0.4963, number_of_instances: 1000, precision: 0.875, predictive_accuracy: 0.875, prior_entropy: 0.9947, recall: 0.875, relative_absolute_error: 0.3596, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3018, root_relative_squared_error: 0.6058, scimark_benchmark: 926.5859, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9495, f_measure: 0.8748, kappa: 0.7476, kb_relative_information_score: 658.9048, mean_absolute_error: 0.1785, mean_prior_absolute_error: 0.4963, number_of_instances: 1000, precision: 0.875, predictive_accuracy: 0.875, prior_entropy: 0.9947, recall: 0.875, relative_absolute_error: 0.3596, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3018, root_relative_squared_error: 0.6058, scimark_benchmark: 929.0296, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.95, f_measure: 0.8749, kappa: 0.7477, kb_relative_information_score: 657.9108, mean_absolute_error: 0.1791, mean_prior_absolute_error: 0.4963, number_of_instances: 1000, precision: 0.8749, predictive_accuracy: 0.875, prior_entropy: 0.9947, recall: 0.875, relative_absolute_error: 0.3608, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.301, root_relative_squared_error: 0.6043, scimark_benchmark: 894.7131, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9385, f_measure: 0.8567, kappa: 0.711, kb_relative_information_score: 620.3838, mean_absolute_error: 0.1993, mean_prior_absolute_error: 0.4963, number_of_instances: 1000, precision: 0.857, predictive_accuracy: 0.857, prior_entropy: 0.9947, recall: 0.857, relative_absolute_error: 0.4015, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3161, root_relative_squared_error: 0.6345, scimark_benchmark: 926.5859, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9246, f_measure: 0.8479, kappa: 0.6934, kb_relative_information_score: 524.0346, mean_absolute_error: 0.252, mean_prior_absolute_error: 0.4963, number_of_instances: 1000, precision: 0.8479, predictive_accuracy: 0.848, prior_entropy: 0.9947, recall: 0.848, relative_absolute_error: 0.5077, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3371, root_relative_squared_error: 0.6766, scimark_benchmark: 929.0296, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4958, f_measure: 0.3822, kb_relative_information_score: -0.0264, mean_absolute_error: 0.4963, mean_prior_absolute_error: 0.4963, number_of_instances: 1000, precision: 0.2948, predictive_accuracy: 0.543, prior_entropy: 0.9947, recall: 0.543, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9496, f_measure: 0.8629, kappa: 0.7237, kb_relative_information_score: 715.8416, mean_absolute_error: 0.1421, mean_prior_absolute_error: 0.4963, number_of_instances: 1000, precision: 0.8629, predictive_accuracy: 0.863, prior_entropy: 0.9947, recall: 0.863, relative_absolute_error: 0.2863, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3281, root_relative_squared_error: 0.6586, scimark_benchmark: 936.1714, usercpu_time_millis: 420, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9322, f_measure: 0.8337, kappa: 0.6646, kb_relative_information_score: 666.522, mean_absolute_error: 0.1664, mean_prior_absolute_error: 0.4963, number_of_instances: 1000, precision: 0.8339, predictive_accuracy: 0.834, prior_entropy: 0.9947, recall: 0.834, relative_absolute_error: 0.3354, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3486, root_relative_squared_error: 0.6997, scimark_benchmark: 935.6052, usercpu_time_millis: 210, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8927, f_measure: 0.8131, kappa: 0.6237, kb_relative_information_score: 590.6346, mean_absolute_error: 0.2067, mean_prior_absolute_error: 0.4963, number_of_instances: 1000, precision: 0.8133, predictive_accuracy: 0.813, prior_entropy: 0.9947, recall: 0.813, relative_absolute_error: 0.4166, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3859, root_relative_squared_error: 0.7747, scimark_benchmark: 940.0055, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.85, f_measure: 0.7953, kappa: 0.5884, kb_relative_information_score: 525.8213, mean_absolute_error: 0.2405, mean_prior_absolute_error: 0.4963, number_of_instances: 1000, precision: 0.7963, predictive_accuracy: 0.795, prior_entropy: 0.9947, recall: 0.795, relative_absolute_error: 0.4847, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.4173, root_relative_squared_error: 0.8377, scimark_benchmark: 935.6052, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7831, f_measure: 0.7023, kappa: 0.4008, kb_relative_information_score: 385.5887, mean_absolute_error: 0.3064, mean_prior_absolute_error: 0.4963, number_of_instances: 1000, precision: 0.7027, predictive_accuracy: 0.702, prior_entropy: 0.9947, recall: 0.702, relative_absolute_error: 0.6174, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.4925, root_relative_squared_error: 0.9887, scimark_benchmark: 935.6052, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3822, kb_relative_information_score: 76.1889, mean_absolute_error: 0.457, mean_prior_absolute_error: 0.4963, number_of_instances: 1000, precision: 0.2948, predictive_accuracy: 0.543, prior_entropy: 0.9947, recall: 0.543, relative_absolute_error: 0.9208, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.676, root_relative_squared_error: 1.3571, scimark_benchmark: 941.9549, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8882, f_measure: 0.882, kappa: 0.7622, kb_relative_information_score: 742.3133, mean_absolute_error: 0.1304, mean_prior_absolute_error: 0.4963, number_of_instances: 1000, precision: 0.882, predictive_accuracy: 0.882, prior_entropy: 0.9947, recall: 0.882, relative_absolute_error: 0.2627, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3319, root_relative_squared_error: 0.6663, scimark_benchmark: 942.6192, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,

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

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From your own software

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

OpenML APIs