OpenML
Supervised Classification on electricity

Supervised Classification on electricity

Task 219 Supervised Classification electricity 77718 runs submitted
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  • at2 mythbusting_1 OpenML-CC18 OpenML100 study_1 study_123 study_14 study_15 study_20 study_41 study_7 study_70 study_99 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9556, f_measure: 0.8831, kappa: 0.7605, kb_relative_information_score: 0.6549, mean_absolute_error: 0.1793, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8831, predictive_accuracy: 0.8832, prior_entropy: 0.9835, recall: 0.8832, relative_absolute_error: 0.3671, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2889, root_relative_squared_error: 0.5845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8438, f_measure: 0.7652, kappa: 0.5173, kb_relative_information_score: 0.3397, mean_absolute_error: 0.3409, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7784, predictive_accuracy: 0.7721, prior_entropy: 0.9835, recall: 0.7721, relative_absolute_error: 0.6976, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3988, root_relative_squared_error: 0.8069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9285, f_measure: 0.8496, kappa: 0.6916, kb_relative_information_score: 0.5657, mean_absolute_error: 0.2248, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8495, predictive_accuracy: 0.8499, prior_entropy: 0.9835, recall: 0.8499, relative_absolute_error: 0.4601, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3266, root_relative_squared_error: 0.6608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9774, f_measure: 0.922, kappa: 0.8402, kb_relative_information_score: 0.7287, mean_absolute_error: 0.1447, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9219, predictive_accuracy: 0.922, prior_entropy: 0.9835, recall: 0.922, relative_absolute_error: 0.2962, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2443, root_relative_squared_error: 0.4943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9441, f_measure: 0.8663, kappa: 0.7259, kb_relative_information_score: 0.5947, mean_absolute_error: 0.2115, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8662, predictive_accuracy: 0.8665, prior_entropy: 0.9835, recall: 0.8665, relative_absolute_error: 0.4329, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3081, root_relative_squared_error: 0.6233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8936, f_measure: 0.8148, kappa: 0.6195, kb_relative_information_score: 0.4117, mean_absolute_error: 0.3077, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8154, predictive_accuracy: 0.8159, prior_entropy: 0.9835, recall: 0.8159, relative_absolute_error: 0.6297, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3672, root_relative_squared_error: 0.7428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9621, f_measure: 0.8955, kappa: 0.786, kb_relative_information_score: 0.7057, mean_absolute_error: 0.1521, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8955, predictive_accuracy: 0.8955, prior_entropy: 0.9835, recall: 0.8955, relative_absolute_error: 0.3113, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2752, root_relative_squared_error: 0.5567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9061, f_measure: 0.8269, kappa: 0.6448, kb_relative_information_score: 0.5031, mean_absolute_error: 0.2563, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8271, predictive_accuracy: 0.8276, prior_entropy: 0.9835, recall: 0.8276, relative_absolute_error: 0.5245, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3497, root_relative_squared_error: 0.7076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7852, f_measure: 0.7177, kappa: 0.4192, kb_relative_information_score: 0.2657, mean_absolute_error: 0.3705, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7191, predictive_accuracy: 0.7212, prior_entropy: 0.9835, recall: 0.7212, relative_absolute_error: 0.7582, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4306, root_relative_squared_error: 0.8712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.9343, kappa: 0.8654, kb_relative_information_score: 0.7859, mean_absolute_error: 0.1137, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9342, predictive_accuracy: 0.9343, prior_entropy: 0.9835, recall: 0.9343, relative_absolute_error: 0.2326, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2227, root_relative_squared_error: 0.4506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9247, f_measure: 0.8434, kappa: 0.6789, kb_relative_information_score: 0.5717, mean_absolute_error: 0.2197, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8434, predictive_accuracy: 0.8438, prior_entropy: 0.9835, recall: 0.8438, relative_absolute_error: 0.4497, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3303, root_relative_squared_error: 0.6683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9437, kappa: 0.8848, kb_relative_information_score: 0.8296, mean_absolute_error: 0.0897, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9437, predictive_accuracy: 0.9437, prior_entropy: 0.9835, recall: 0.9437, relative_absolute_error: 0.1835, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2062, root_relative_squared_error: 0.4172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9533, f_measure: 0.8797, kappa: 0.7534, kb_relative_information_score: 0.6393, mean_absolute_error: 0.1881, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8796, predictive_accuracy: 0.8798, prior_entropy: 0.9835, recall: 0.8798, relative_absolute_error: 0.385, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.293, root_relative_squared_error: 0.5929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9487, f_measure: 0.8713, kappa: 0.7365, kb_relative_information_score: 0.6189, mean_absolute_error: 0.1983, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8713, predictive_accuracy: 0.8714, prior_entropy: 0.9835, recall: 0.8714, relative_absolute_error: 0.4059, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.301, root_relative_squared_error: 0.609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9237, f_measure: 0.8455, kappa: 0.6831, kb_relative_information_score: 0.511, mean_absolute_error: 0.2569, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8455, predictive_accuracy: 0.8459, prior_entropy: 0.9835, recall: 0.8459, relative_absolute_error: 0.5258, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.335, root_relative_squared_error: 0.6777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9317, f_measure: 0.8549, kappa: 0.7025, kb_relative_information_score: 0.6126, mean_absolute_error: 0.1981, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8548, predictive_accuracy: 0.8551, prior_entropy: 0.9835, recall: 0.8551, relative_absolute_error: 0.4054, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3197, root_relative_squared_error: 0.6468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9745, f_measure: 0.9168, kappa: 0.8296, kb_relative_information_score: 0.7211, mean_absolute_error: 0.1482, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9168, predictive_accuracy: 0.9168, prior_entropy: 0.9835, recall: 0.9168, relative_absolute_error: 0.3033, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2505, root_relative_squared_error: 0.5068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9222, f_measure: 0.8402, kappa: 0.6723, kb_relative_information_score: 0.5411, mean_absolute_error: 0.2371, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8402, predictive_accuracy: 0.8406, prior_entropy: 0.9835, recall: 0.8406, relative_absolute_error: 0.4852, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3343, root_relative_squared_error: 0.6763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9026, f_measure: 0.8218, kappa: 0.6341, kb_relative_information_score: 0.5087, mean_absolute_error: 0.2522, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.822, predictive_accuracy: 0.8225, prior_entropy: 0.9835, recall: 0.8225, relative_absolute_error: 0.5163, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3526, root_relative_squared_error: 0.7134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9708, f_measure: 0.9117, kappa: 0.8192, kb_relative_information_score: 0.8042, mean_absolute_error: 0.0966, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9117, predictive_accuracy: 0.9117, prior_entropy: 0.9835, recall: 0.9117, relative_absolute_error: 0.1976, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.267, root_relative_squared_error: 0.5403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9387, f_measure: 0.86, kappa: 0.713, kb_relative_information_score: 0.5857, mean_absolute_error: 0.215, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8601, predictive_accuracy: 0.8604, prior_entropy: 0.9835, recall: 0.8604, relative_absolute_error: 0.4401, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3152, root_relative_squared_error: 0.6376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9666, f_measure: 0.9014, kappa: 0.7982, kb_relative_information_score: 0.6832, mean_absolute_error: 0.1674, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9014, predictive_accuracy: 0.9014, prior_entropy: 0.9835, recall: 0.9014, relative_absolute_error: 0.3426, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2692, root_relative_squared_error: 0.5446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7864, f_measure: 0.7188, kappa: 0.4214, kb_relative_information_score: 0.2688, mean_absolute_error: 0.369, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7196, predictive_accuracy: 0.7218, prior_entropy: 0.9835, recall: 0.7218, relative_absolute_error: 0.7551, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4298, root_relative_squared_error: 0.8696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9187, f_measure: 0.8364, kappa: 0.6642, kb_relative_information_score: 0.5466, mean_absolute_error: 0.2329, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8365, predictive_accuracy: 0.8369, prior_entropy: 0.9835, recall: 0.8369, relative_absolute_error: 0.4766, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3372, root_relative_squared_error: 0.6822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9195, f_measure: 0.841, kappa: 0.6739, kb_relative_information_score: 0.538, mean_absolute_error: 0.2385, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.841, predictive_accuracy: 0.8414, prior_entropy: 0.9835, recall: 0.8414, relative_absolute_error: 0.488, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3367, root_relative_squared_error: 0.6813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8925, f_measure: 0.817, kappa: 0.6237, kb_relative_information_score: 0.3297, mean_absolute_error: 0.3517, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8185, predictive_accuracy: 0.8185, prior_entropy: 0.9835, recall: 0.8185, relative_absolute_error: 0.7199, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3848, root_relative_squared_error: 0.7784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8695, f_measure: 0.7721, kappa: 0.5314, kb_relative_information_score: 0.3688, mean_absolute_error: 0.3252, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7843, predictive_accuracy: 0.7784, prior_entropy: 0.9835, recall: 0.7784, relative_absolute_error: 0.6655, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3867, root_relative_squared_error: 0.7824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8909, f_measure: 0.8098, kappa: 0.6088, kb_relative_information_score: 0.4421, mean_absolute_error: 0.2884, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8118, predictive_accuracy: 0.8117, prior_entropy: 0.9835, recall: 0.8117, relative_absolute_error: 0.5902, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3654, root_relative_squared_error: 0.7392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9343, f_measure: 0.8554, kappa: 0.7036, kb_relative_information_score: 0.5783, mean_absolute_error: 0.2183, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8554, predictive_accuracy: 0.8557, prior_entropy: 0.9835, recall: 0.8557, relative_absolute_error: 0.4468, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.32, root_relative_squared_error: 0.6474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9331, f_measure: 0.8534, kappa: 0.6995, kb_relative_information_score: 0.5808, mean_absolute_error: 0.2163, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8534, predictive_accuracy: 0.8537, prior_entropy: 0.9835, recall: 0.8537, relative_absolute_error: 0.4427, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3212, root_relative_squared_error: 0.6499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.925, f_measure: 0.844, kappa: 0.68, kb_relative_information_score: 0.5507, mean_absolute_error: 0.2322, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.844, predictive_accuracy: 0.8444, prior_entropy: 0.9835, recall: 0.8444, relative_absolute_error: 0.4751, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.331, root_relative_squared_error: 0.6697,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9318, f_measure: 0.851, kappa: 0.6946, kb_relative_information_score: 0.569, mean_absolute_error: 0.2233, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.851, predictive_accuracy: 0.8514, prior_entropy: 0.9835, recall: 0.8514, relative_absolute_error: 0.4569, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3232, root_relative_squared_error: 0.6538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9051, f_measure: 0.8245, kappa: 0.6398, kb_relative_information_score: 0.5258, mean_absolute_error: 0.2423, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8246, predictive_accuracy: 0.8251, prior_entropy: 0.9835, recall: 0.8251, relative_absolute_error: 0.4959, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.35, root_relative_squared_error: 0.7082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.9371, kappa: 0.8713, kb_relative_information_score: 0.7991, mean_absolute_error: 0.1065, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9371, predictive_accuracy: 0.9371, prior_entropy: 0.9835, recall: 0.9371, relative_absolute_error: 0.2179, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2171, root_relative_squared_error: 0.4392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9458, f_measure: 0.8708, kappa: 0.7355, kb_relative_information_score: 0.7109, mean_absolute_error: 0.1429, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8708, predictive_accuracy: 0.8709, prior_entropy: 0.9835, recall: 0.8709, relative_absolute_error: 0.2924, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.316, root_relative_squared_error: 0.6393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5006, kappa: -0.0001, kb_relative_information_score: 0.0598, mean_absolute_error: 0.4548, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.5113, predictive_accuracy: 0.5452, prior_entropy: 0.9835, recall: 0.5452, relative_absolute_error: 0.9308, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.6744, root_relative_squared_error: 1.3644,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9789, f_measure: 0.9267, kappa: 0.85, kb_relative_information_score: 0.757, mean_absolute_error: 0.1289, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9267, predictive_accuracy: 0.9267, prior_entropy: 0.9835, recall: 0.9267, relative_absolute_error: 0.2638, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2361, root_relative_squared_error: 0.4777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9802, f_measure: 0.9295, kappa: 0.8557, kb_relative_information_score: 0.7639, mean_absolute_error: 0.1254, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9295, predictive_accuracy: 0.9296, prior_entropy: 0.9835, recall: 0.9296, relative_absolute_error: 0.2566, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2322, root_relative_squared_error: 0.4698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9188, f_measure: 0.8389, kappa: 0.6696, kb_relative_information_score: 0.538, mean_absolute_error: 0.2388, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8389, predictive_accuracy: 0.8393, prior_entropy: 0.9835, recall: 0.8393, relative_absolute_error: 0.4888, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3372, root_relative_squared_error: 0.6822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8947, f_measure: 0.8074, kappa: 0.6036, kb_relative_information_score: 0.4356, mean_absolute_error: 0.2924, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8113, predictive_accuracy: 0.81, prior_entropy: 0.9835, recall: 0.81, relative_absolute_error: 0.5984, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3645, root_relative_squared_error: 0.7374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9521, f_measure: 0.8799, kappa: 0.754, kb_relative_information_score: 0.678, mean_absolute_error: 0.1647, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8799, predictive_accuracy: 0.88, prior_entropy: 0.9835, recall: 0.88, relative_absolute_error: 0.337, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2933, root_relative_squared_error: 0.5934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9681, f_measure: 0.9044, kappa: 0.8043, kb_relative_information_score: 0.6791, mean_absolute_error: 0.1697, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9044, predictive_accuracy: 0.9045, prior_entropy: 0.9835, recall: 0.9045, relative_absolute_error: 0.3473, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2681, root_relative_squared_error: 0.5424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9043, f_measure: 0.8248, kappa: 0.6401, kb_relative_information_score: 0.4885, mean_absolute_error: 0.264, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8252, predictive_accuracy: 0.8257, prior_entropy: 0.9835, recall: 0.8257, relative_absolute_error: 0.5403, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3523, root_relative_squared_error: 0.7127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9072, f_measure: 0.8285, kappa: 0.648, kb_relative_information_score: 0.5013, mean_absolute_error: 0.2574, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8287, predictive_accuracy: 0.8292, prior_entropy: 0.9835, recall: 0.8292, relative_absolute_error: 0.5269, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3491, root_relative_squared_error: 0.7062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9457, f_measure: 0.8691, kappa: 0.7317, kb_relative_information_score: 0.6169, mean_absolute_error: 0.1993, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.869, predictive_accuracy: 0.8692, prior_entropy: 0.9835, recall: 0.8692, relative_absolute_error: 0.4078, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3042, root_relative_squared_error: 0.6155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8702, f_measure: 0.7723, kappa: 0.5319, kb_relative_information_score: 0.3713, mean_absolute_error: 0.3239, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7849, predictive_accuracy: 0.7787, prior_entropy: 0.9835, recall: 0.7787, relative_absolute_error: 0.6629, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.386, root_relative_squared_error: 0.781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9476, f_measure: 0.8718, kappa: 0.7373, kb_relative_information_score: 0.6139, mean_absolute_error: 0.2015, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8717, predictive_accuracy: 0.872, prior_entropy: 0.9835, recall: 0.872, relative_absolute_error: 0.4123, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3024, root_relative_squared_error: 0.6119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9467, f_measure: 0.8692, kappa: 0.7319, kb_relative_information_score: 0.597, mean_absolute_error: 0.2108, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8691, predictive_accuracy: 0.8694, prior_entropy: 0.9835, recall: 0.8694, relative_absolute_error: 0.4315, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3053, root_relative_squared_error: 0.6177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5045, f_measure: 0.547, kappa: 0.0677, kb_relative_information_score: 0.0789, mean_absolute_error: 0.4459, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.5455, predictive_accuracy: 0.556, prior_entropy: 0.9835, recall: 0.556, relative_absolute_error: 0.9126, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.6634, root_relative_squared_error: 1.3422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9745, f_measure: 0.9171, kappa: 0.8304, kb_relative_information_score: 0.7186, mean_absolute_error: 0.1496, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9171, predictive_accuracy: 0.9171, prior_entropy: 0.9835, recall: 0.9171, relative_absolute_error: 0.3063, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2511, root_relative_squared_error: 0.5079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9507, f_measure: 0.8752, kappa: 0.7444, kb_relative_information_score: 0.6226, mean_absolute_error: 0.1974, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8752, predictive_accuracy: 0.8753, prior_entropy: 0.9835, recall: 0.8753, relative_absolute_error: 0.404, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2977, root_relative_squared_error: 0.6023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.9332, kappa: 0.8632, kb_relative_information_score: 0.7885, mean_absolute_error: 0.1117, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9332, predictive_accuracy: 0.9332, prior_entropy: 0.9835, recall: 0.9332, relative_absolute_error: 0.2285, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2238, root_relative_squared_error: 0.4528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9715, f_measure: 0.9105, kappa: 0.8168, kb_relative_information_score: 0.7357, mean_absolute_error: 0.1379, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9105, predictive_accuracy: 0.9106, prior_entropy: 0.9835, recall: 0.9106, relative_absolute_error: 0.2822, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2549, root_relative_squared_error: 0.5157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8765, f_measure: 0.7988, kappa: 0.5861, kb_relative_information_score: 0.4598, mean_absolute_error: 0.2767, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8009, predictive_accuracy: 0.8009, prior_entropy: 0.9835, recall: 0.8009, relative_absolute_error: 0.5663, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3731, root_relative_squared_error: 0.7548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, f_measure: 0.9383, kappa: 0.8736, kb_relative_information_score: 0.8152, mean_absolute_error: 0.0969, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9383, predictive_accuracy: 0.9383, prior_entropy: 0.9835, recall: 0.9383, relative_absolute_error: 0.1983, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2146, root_relative_squared_error: 0.4341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5304, f_measure: 0.5845, kappa: 0.1467, kb_relative_information_score: 0.1233, mean_absolute_error: 0.4266, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.5833, predictive_accuracy: 0.5867, prior_entropy: 0.9835, recall: 0.5867, relative_absolute_error: 0.873, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.6349, root_relative_squared_error: 1.2846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9191, f_measure: 0.8388, kappa: 0.6691, kb_relative_information_score: 0.5297, mean_absolute_error: 0.2432, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8388, predictive_accuracy: 0.8393, prior_entropy: 0.9835, recall: 0.8393, relative_absolute_error: 0.4978, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3377, root_relative_squared_error: 0.6832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.889, f_measure: 0.8082, kappa: 0.6061, kb_relative_information_score: 0.4664, mean_absolute_error: 0.2742, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8085, predictive_accuracy: 0.8092, prior_entropy: 0.9835, recall: 0.8092, relative_absolute_error: 0.5611, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3644, root_relative_squared_error: 0.7372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9029, f_measure: 0.8211, kappa: 0.6321, kb_relative_information_score: 0.4682, mean_absolute_error: 0.2755, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8224, predictive_accuracy: 0.8225, prior_entropy: 0.9835, recall: 0.8225, relative_absolute_error: 0.5638, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3553, root_relative_squared_error: 0.7188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.969, f_measure: 0.9043, kappa: 0.804, kb_relative_information_score: 0.721, mean_absolute_error: 0.1452, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9042, predictive_accuracy: 0.9043, prior_entropy: 0.9835, recall: 0.9043, relative_absolute_error: 0.2972, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2616, root_relative_squared_error: 0.5293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9282, f_measure: 0.8466, kappa: 0.6855, kb_relative_information_score: 0.5569, mean_absolute_error: 0.229, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8466, predictive_accuracy: 0.8469, prior_entropy: 0.9835, recall: 0.8469, relative_absolute_error: 0.4687, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3277, root_relative_squared_error: 0.6631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.96, f_measure: 0.8908, kappa: 0.7765, kb_relative_information_score: 0.6893, mean_absolute_error: 0.1608, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8908, predictive_accuracy: 0.8909, prior_entropy: 0.9835, recall: 0.8909, relative_absolute_error: 0.3291, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2799, root_relative_squared_error: 0.5663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9267, f_measure: 0.8454, kappa: 0.683, kb_relative_information_score: 0.5526, mean_absolute_error: 0.2319, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8454, predictive_accuracy: 0.8458, prior_entropy: 0.9835, recall: 0.8458, relative_absolute_error: 0.4746, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3291, root_relative_squared_error: 0.6659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9242, f_measure: 0.8422, kappa: 0.6761, kb_relative_information_score: 0.5386, mean_absolute_error: 0.2393, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8425, predictive_accuracy: 0.8428, prior_entropy: 0.9835, recall: 0.8428, relative_absolute_error: 0.4897, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3326, root_relative_squared_error: 0.6728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9537, f_measure: 0.8886, kappa: 0.772, kb_relative_information_score: 0.7594, mean_absolute_error: 0.1178, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8886, predictive_accuracy: 0.8886, prior_entropy: 0.9835, recall: 0.8886, relative_absolute_error: 0.2411, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3075, root_relative_squared_error: 0.6222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7832, f_measure: 0.716, kappa: 0.4155, kb_relative_information_score: 0.2614, mean_absolute_error: 0.3727, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7175, predictive_accuracy: 0.7196, prior_entropy: 0.9835, recall: 0.7196, relative_absolute_error: 0.7629, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4313, root_relative_squared_error: 0.8726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8738, f_measure: 0.7838, kappa: 0.5551, kb_relative_information_score: 0.3875, mean_absolute_error: 0.3159, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.792, predictive_accuracy: 0.7884, prior_entropy: 0.9835, recall: 0.7884, relative_absolute_error: 0.6465, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3813, root_relative_squared_error: 0.7714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9418, f_measure: 0.864, kappa: 0.7214, kb_relative_information_score: 0.5797, mean_absolute_error: 0.2195, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.864, predictive_accuracy: 0.8643, prior_entropy: 0.9835, recall: 0.8643, relative_absolute_error: 0.4492, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3123, root_relative_squared_error: 0.6318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8746, f_measure: 0.8288, kappa: 0.649, kb_relative_information_score: 0.5779, mean_absolute_error: 0.2125, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8288, predictive_accuracy: 0.8292, prior_entropy: 0.9835, recall: 0.8292, relative_absolute_error: 0.435, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3636, root_relative_squared_error: 0.7356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8656, kb_relative_information_score: 0.0767, mean_absolute_error: 0.4614, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 0.9443, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4679, root_relative_squared_error: 0.9466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9592, f_measure: 0.8875, kappa: 0.7695, kb_relative_information_score: 0.663, mean_absolute_error: 0.1761, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8874, predictive_accuracy: 0.8876, prior_entropy: 0.9835, recall: 0.8876, relative_absolute_error: 0.3605, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2829, root_relative_squared_error: 0.5723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8969, f_measure: 0.8177, kappa: 0.6254, kb_relative_information_score: 0.4656, mean_absolute_error: 0.276, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8187, predictive_accuracy: 0.819, prior_entropy: 0.9835, recall: 0.819, relative_absolute_error: 0.5649, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3593, root_relative_squared_error: 0.7268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9596, f_measure: 0.887, kappa: 0.7685, kb_relative_information_score: 0.6543, mean_absolute_error: 0.181, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8869, predictive_accuracy: 0.887, prior_entropy: 0.9835, recall: 0.887, relative_absolute_error: 0.3703, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2835, root_relative_squared_error: 0.5735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9173, f_measure: 0.8361, kappa: 0.6638, kb_relative_information_score: 0.5266, mean_absolute_error: 0.2453, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8361, predictive_accuracy: 0.8366, prior_entropy: 0.9835, recall: 0.8366, relative_absolute_error: 0.502, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3393, root_relative_squared_error: 0.6865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8962, f_measure: 0.8168, kappa: 0.6236, kb_relative_information_score: 0.4716, mean_absolute_error: 0.2726, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8173, predictive_accuracy: 0.8178, prior_entropy: 0.9835, recall: 0.8178, relative_absolute_error: 0.5579, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.359, root_relative_squared_error: 0.7264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9145, f_measure: 0.8331, kappa: 0.6575, kb_relative_information_score: 0.5312, mean_absolute_error: 0.241, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8332, predictive_accuracy: 0.8337, prior_entropy: 0.9835, recall: 0.8337, relative_absolute_error: 0.4933, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3417, root_relative_squared_error: 0.6914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.9272, kappa: 0.851, kb_relative_information_score: 0.7534, mean_absolute_error: 0.1314, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9272, predictive_accuracy: 0.9272, prior_entropy: 0.9835, recall: 0.9272, relative_absolute_error: 0.269, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2347, root_relative_squared_error: 0.4748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8905, f_measure: 0.8313, kappa: 0.6542, kb_relative_information_score: 0.5748, mean_absolute_error: 0.2147, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8312, predictive_accuracy: 0.8316, prior_entropy: 0.9835, recall: 0.8316, relative_absolute_error: 0.4394, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3551, root_relative_squared_error: 0.7184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9614, f_measure: 0.8911, kappa: 0.7771, kb_relative_information_score: 0.6679, mean_absolute_error: 0.1739, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8911, predictive_accuracy: 0.8912, prior_entropy: 0.9835, recall: 0.8912, relative_absolute_error: 0.356, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2792, root_relative_squared_error: 0.5649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.95, f_measure: 0.8743, kappa: 0.7426, kb_relative_information_score: 0.6184, mean_absolute_error: 0.1997, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8743, predictive_accuracy: 0.8745, prior_entropy: 0.9835, recall: 0.8745, relative_absolute_error: 0.4087, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.299, root_relative_squared_error: 0.605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9027, f_measure: 0.8234, kappa: 0.6373, kb_relative_information_score: 0.4873, mean_absolute_error: 0.2647, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8237, predictive_accuracy: 0.8242, prior_entropy: 0.9835, recall: 0.8242, relative_absolute_error: 0.5418, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3534, root_relative_squared_error: 0.7149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8755, f_measure: 0.7855, kappa: 0.5586, kb_relative_information_score: 0.3847, mean_absolute_error: 0.3177, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7947, predictive_accuracy: 0.7904, prior_entropy: 0.9835, recall: 0.7904, relative_absolute_error: 0.6502, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.381, root_relative_squared_error: 0.7709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7838, f_measure: 0.7751, kappa: 0.5388, kb_relative_information_score: 0.5023, mean_absolute_error: 0.2449, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7749, predictive_accuracy: 0.7756, prior_entropy: 0.9835, recall: 0.7756, relative_absolute_error: 0.5011, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4412, root_relative_squared_error: 0.8926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.963, f_measure: 0.8944, kappa: 0.7839, kb_relative_information_score: 0.6558, mean_absolute_error: 0.1822, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8944, predictive_accuracy: 0.8944, prior_entropy: 0.9835, recall: 0.8944, relative_absolute_error: 0.3728, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.278, root_relative_squared_error: 0.5624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7862, f_measure: 0.7198, kappa: 0.4239, kb_relative_information_score: 0.27, mean_absolute_error: 0.3682, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7203, predictive_accuracy: 0.7224, prior_entropy: 0.9835, recall: 0.7224, relative_absolute_error: 0.7536, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4299, root_relative_squared_error: 0.8698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9745, f_measure: 0.9159, kappa: 0.8278, kb_relative_information_score: 0.7135, mean_absolute_error: 0.1523, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9159, predictive_accuracy: 0.916, prior_entropy: 0.9835, recall: 0.916, relative_absolute_error: 0.3117, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2522, root_relative_squared_error: 0.5103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9047, f_measure: 0.8245, kappa: 0.6398, kb_relative_information_score: 0.5269, mean_absolute_error: 0.2416, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8245, predictive_accuracy: 0.8251, prior_entropy: 0.9835, recall: 0.8251, relative_absolute_error: 0.4945, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3504, root_relative_squared_error: 0.7088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9444, kappa: 0.8862, kb_relative_information_score: 0.8329, mean_absolute_error: 0.0879, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9444, predictive_accuracy: 0.9444, prior_entropy: 0.9835, recall: 0.9444, relative_absolute_error: 0.18, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2041, root_relative_squared_error: 0.413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9251, f_measure: 0.8442, kappa: 0.6804, kb_relative_information_score: 0.5706, mean_absolute_error: 0.2203, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8442, predictive_accuracy: 0.8446, prior_entropy: 0.9835, recall: 0.8446, relative_absolute_error: 0.4509, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3299, root_relative_squared_error: 0.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8802, f_measure: 0.7981, kappa: 0.5844, kb_relative_information_score: 0.4147, mean_absolute_error: 0.3036, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8014, predictive_accuracy: 0.8007, prior_entropy: 0.9835, recall: 0.8007, relative_absolute_error: 0.6213, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3738, root_relative_squared_error: 0.7563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8757, f_measure: 0.7904, kappa: 0.5685, kb_relative_information_score: 0.4038, mean_absolute_error: 0.3072, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7969, predictive_accuracy: 0.7943, prior_entropy: 0.9835, recall: 0.7943, relative_absolute_error: 0.6287, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.378, root_relative_squared_error: 0.7647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8921, f_measure: 0.8061, kappa: 0.6009, kb_relative_information_score: 0.3246, mean_absolute_error: 0.3531, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8125, predictive_accuracy: 0.8095, prior_entropy: 0.9835, recall: 0.8095, relative_absolute_error: 0.7226, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3864, root_relative_squared_error: 0.7818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8739, f_measure: 0.786, kappa: 0.5596, kb_relative_information_score: 0.3903, mean_absolute_error: 0.3144, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7935, predictive_accuracy: 0.7904, prior_entropy: 0.9835, recall: 0.7904, relative_absolute_error: 0.6435, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3808, root_relative_squared_error: 0.7704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9056, f_measure: 0.8276, kappa: 0.6459, kb_relative_information_score: 0.4842, mean_absolute_error: 0.2669, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.828, predictive_accuracy: 0.8284, prior_entropy: 0.9835, recall: 0.8284, relative_absolute_error: 0.5463, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3517, root_relative_squared_error: 0.7115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8261, f_measure: 0.7563, kappa: 0.5007, kb_relative_information_score: 0.2873, mean_absolute_error: 0.3669, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7785, predictive_accuracy: 0.7662, prior_entropy: 0.9835, recall: 0.7662, relative_absolute_error: 0.7509, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4125, root_relative_squared_error: 0.8345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9335, f_measure: 0.8534, kappa: 0.6994, kb_relative_information_score: 0.5826, mean_absolute_error: 0.2154, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8533, predictive_accuracy: 0.8537, prior_entropy: 0.9835, recall: 0.8537, relative_absolute_error: 0.4408, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3206, root_relative_squared_error: 0.6486,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9408, f_measure: 0.8623, kappa: 0.7179, kb_relative_information_score: 0.591, mean_absolute_error: 0.2131, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8623, predictive_accuracy: 0.8625, prior_entropy: 0.9835, recall: 0.8625, relative_absolute_error: 0.4361, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3121, root_relative_squared_error: 0.6313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8951, f_measure: 0.8296, kappa: 0.6505, kb_relative_information_score: 0.5548, mean_absolute_error: 0.2263, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8296, predictive_accuracy: 0.8302, prior_entropy: 0.9835, recall: 0.8302, relative_absolute_error: 0.4632, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3514, root_relative_squared_error: 0.711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9658, f_measure: 0.8992, kappa: 0.7936, kb_relative_information_score: 0.6743, mean_absolute_error: 0.1715, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8991, predictive_accuracy: 0.8992, prior_entropy: 0.9835, recall: 0.8992, relative_absolute_error: 0.351, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2723, root_relative_squared_error: 0.551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9675, f_measure: 0.9097, kappa: 0.8151, kb_relative_information_score: 0.7618, mean_absolute_error: 0.122, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9097, predictive_accuracy: 0.9097, prior_entropy: 0.9835, recall: 0.9097, relative_absolute_error: 0.2497, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2592, root_relative_squared_error: 0.5243,

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