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: 0.9613, f_measure: 0.8919, kappa: 0.7785, kb_relative_information_score: 0.6627, mean_absolute_error: 0.1765, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8918, predictive_accuracy: 0.8919, prior_entropy: 0.9835, recall: 0.8919, relative_absolute_error: 0.3613, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2804, root_relative_squared_error: 0.5672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9288, f_measure: 0.8479, kappa: 0.6881, kb_relative_information_score: 0.5695, mean_absolute_error: 0.2219, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8478, predictive_accuracy: 0.8482, prior_entropy: 0.9835, recall: 0.8482, relative_absolute_error: 0.4541, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3263, root_relative_squared_error: 0.6602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.9276, kappa: 0.8519, kb_relative_information_score: 0.7727, mean_absolute_error: 0.1198, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9276, predictive_accuracy: 0.9276, prior_entropy: 0.9835, recall: 0.9276, relative_absolute_error: 0.2451, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2326, root_relative_squared_error: 0.4707,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9779, f_measure: 0.9225, kappa: 0.8413, kb_relative_information_score: 0.7405, mean_absolute_error: 0.1378, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9225, predictive_accuracy: 0.9225, prior_entropy: 0.9835, recall: 0.9225, relative_absolute_error: 0.282, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2416, root_relative_squared_error: 0.4887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9572, f_measure: 0.8882, kappa: 0.7711, kb_relative_information_score: 0.6956, mean_absolute_error: 0.1563, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8882, predictive_accuracy: 0.8883, prior_entropy: 0.9835, recall: 0.8883, relative_absolute_error: 0.3199, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2844, root_relative_squared_error: 0.5754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9405, f_measure: 0.8577, kappa: 0.7081, kb_relative_information_score: 0.571, mean_absolute_error: 0.2237, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8578, predictive_accuracy: 0.8582, prior_entropy: 0.9835, recall: 0.8582, relative_absolute_error: 0.4579, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3149, root_relative_squared_error: 0.6371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9552, f_measure: 0.8821, kappa: 0.7585, kb_relative_information_score: 0.6535, mean_absolute_error: 0.1804, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.882, predictive_accuracy: 0.8821, prior_entropy: 0.9835, recall: 0.8821, relative_absolute_error: 0.3692, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2893, root_relative_squared_error: 0.5854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.9259, kappa: 0.8484, kb_relative_information_score: 0.7994, mean_absolute_error: 0.1033, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9259, predictive_accuracy: 0.9259, prior_entropy: 0.9835, recall: 0.9259, relative_absolute_error: 0.2114, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2351, root_relative_squared_error: 0.4757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7863, f_measure: 0.7197, kappa: 0.4235, kb_relative_information_score: 0.2696, mean_absolute_error: 0.3684, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7202, predictive_accuracy: 0.7223, prior_entropy: 0.9835, recall: 0.7223, relative_absolute_error: 0.754, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4299, root_relative_squared_error: 0.8697,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8822, f_measure: 0.804, kappa: 0.5968, kb_relative_information_score: 0.4729, mean_absolute_error: 0.2699, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8059, predictive_accuracy: 0.8059, prior_entropy: 0.9835, recall: 0.8059, relative_absolute_error: 0.5523, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.369, root_relative_squared_error: 0.7465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8611, f_measure: 0.7747, kappa: 0.5369, kb_relative_information_score: 0.3278, mean_absolute_error: 0.3491, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.788, predictive_accuracy: 0.7812, prior_entropy: 0.9835, recall: 0.7812, relative_absolute_error: 0.7145, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3956, root_relative_squared_error: 0.8003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.907, f_measure: 0.8329, kappa: 0.6571, kb_relative_information_score: 0.4113, mean_absolute_error: 0.3108, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8332, predictive_accuracy: 0.8336, prior_entropy: 0.9835, recall: 0.8336, relative_absolute_error: 0.6361, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3607, root_relative_squared_error: 0.7298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5055, f_measure: 0.5265, kappa: 0.0771, kb_relative_information_score: 0.148, mean_absolute_error: 0.4122, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.574, predictive_accuracy: 0.5883, prior_entropy: 0.9835, recall: 0.5883, relative_absolute_error: 0.8436, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.6401, root_relative_squared_error: 1.295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8824, f_measure: 0.8041, kappa: 0.5974, kb_relative_information_score: 0.4804, mean_absolute_error: 0.2652, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8049, predictive_accuracy: 0.8055, prior_entropy: 0.9835, recall: 0.8055, relative_absolute_error: 0.5428, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.369, root_relative_squared_error: 0.7466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9679, f_measure: 0.9029, kappa: 0.8012, kb_relative_information_score: 0.6852, mean_absolute_error: 0.1661, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9029, predictive_accuracy: 0.9029, prior_entropy: 0.9835, recall: 0.9029, relative_absolute_error: 0.3399, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2675, root_relative_squared_error: 0.5412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9422, f_measure: 0.865, kappa: 0.7234, kb_relative_information_score: 0.6077, mean_absolute_error: 0.2032, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.865, predictive_accuracy: 0.8652, prior_entropy: 0.9835, recall: 0.8652, relative_absolute_error: 0.4159, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3092, root_relative_squared_error: 0.6256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9636, f_measure: 0.8954, kappa: 0.7859, kb_relative_information_score: 0.6632, mean_absolute_error: 0.1772, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8954, predictive_accuracy: 0.8955, prior_entropy: 0.9835, recall: 0.8955, relative_absolute_error: 0.3627, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.277, root_relative_squared_error: 0.5604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9032, f_measure: 0.7991, kappa: 0.5875, kb_relative_information_score: 0.1824, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8183, predictive_accuracy: 0.8059, prior_entropy: 0.9835, recall: 0.8059, relative_absolute_error: 0.8595, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4305, root_relative_squared_error: 0.8711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9749, f_measure: 0.9181, kappa: 0.8323, kb_relative_information_score: 0.7785, mean_absolute_error: 0.1142, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9181, predictive_accuracy: 0.9181, prior_entropy: 0.9835, recall: 0.9181, relative_absolute_error: 0.2336, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2451, root_relative_squared_error: 0.4958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9231, f_measure: 0.842, kappa: 0.6762, kb_relative_information_score: 0.5672, mean_absolute_error: 0.2224, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.842, predictive_accuracy: 0.8424, prior_entropy: 0.9835, recall: 0.8424, relative_absolute_error: 0.4551, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3321, root_relative_squared_error: 0.6719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8897, f_measure: 0.8052, kappa: 0.5991, kb_relative_information_score: 0.4315, mean_absolute_error: 0.2943, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.808, predictive_accuracy: 0.8074, prior_entropy: 0.9835, recall: 0.8074, relative_absolute_error: 0.6023, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3673, root_relative_squared_error: 0.743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9167, f_measure: 0.8347, kappa: 0.661, kb_relative_information_score: 0.5175, mean_absolute_error: 0.25, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8347, predictive_accuracy: 0.8352, prior_entropy: 0.9835, recall: 0.8352, relative_absolute_error: 0.5116, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3405, root_relative_squared_error: 0.6889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, f_measure: 0.9313, kappa: 0.8594, kb_relative_information_score: 0.7791, mean_absolute_error: 0.117, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9313, predictive_accuracy: 0.9313, prior_entropy: 0.9835, recall: 0.9313, relative_absolute_error: 0.2394, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2277, root_relative_squared_error: 0.4606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.898, f_measure: 0.8163, kappa: 0.6228, kb_relative_information_score: 0.4915, mean_absolute_error: 0.261, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8166, predictive_accuracy: 0.8172, prior_entropy: 0.9835, recall: 0.8172, relative_absolute_error: 0.5341, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3569, root_relative_squared_error: 0.722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9645, f_measure: 0.8974, kappa: 0.7899, kb_relative_information_score: 0.6568, mean_absolute_error: 0.1815, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8974, predictive_accuracy: 0.8975, prior_entropy: 0.9835, recall: 0.8975, relative_absolute_error: 0.3714, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2766, root_relative_squared_error: 0.5595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9405, f_measure: 0.8649, kappa: 0.7232, kb_relative_information_score: 0.6347, mean_absolute_error: 0.1869, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8648, predictive_accuracy: 0.865, prior_entropy: 0.9835, recall: 0.865, relative_absolute_error: 0.3825, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3105, root_relative_squared_error: 0.6282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9571, f_measure: 0.8859, kappa: 0.7662, kb_relative_information_score: 0.662, mean_absolute_error: 0.1757, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8859, predictive_accuracy: 0.886, prior_entropy: 0.9835, recall: 0.886, relative_absolute_error: 0.3596, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2861, root_relative_squared_error: 0.5788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8157, f_measure: 0.7964, kappa: 0.5827, kb_relative_information_score: 0.5094, mean_absolute_error: 0.2455, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7962, predictive_accuracy: 0.7968, prior_entropy: 0.9835, recall: 0.7968, relative_absolute_error: 0.5025, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4049, root_relative_squared_error: 0.8192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.95, f_measure: 0.8746, kappa: 0.743, kb_relative_information_score: 0.6062, mean_absolute_error: 0.2062, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8746, predictive_accuracy: 0.8748, prior_entropy: 0.9835, recall: 0.8748, relative_absolute_error: 0.422, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3009, root_relative_squared_error: 0.6088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.9354, kappa: 0.8678, kb_relative_information_score: 0.7949, mean_absolute_error: 0.1086, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9354, predictive_accuracy: 0.9354, prior_entropy: 0.9835, recall: 0.9354, relative_absolute_error: 0.2222, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2203, root_relative_squared_error: 0.4458,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.9406, kappa: 0.8783, kb_relative_information_score: 0.8187, mean_absolute_error: 0.0956, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9406, predictive_accuracy: 0.9406, prior_entropy: 0.9835, recall: 0.9406, relative_absolute_error: 0.1956, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.21, root_relative_squared_error: 0.4249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8742, f_measure: 0.7875, kappa: 0.5626, kb_relative_information_score: 0.3974, mean_absolute_error: 0.3117, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7951, predictive_accuracy: 0.7918, prior_entropy: 0.9835, recall: 0.7918, relative_absolute_error: 0.6378, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3796, root_relative_squared_error: 0.7681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.925, f_measure: 0.843, kappa: 0.6781, kb_relative_information_score: 0.5476, mean_absolute_error: 0.2342, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.843, predictive_accuracy: 0.8434, prior_entropy: 0.9835, recall: 0.8434, relative_absolute_error: 0.4792, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3313, root_relative_squared_error: 0.6702,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.939, f_measure: 0.8597, kappa: 0.7124, kb_relative_information_score: 0.5785, mean_absolute_error: 0.2194, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8597, predictive_accuracy: 0.8601, prior_entropy: 0.9835, recall: 0.8601, relative_absolute_error: 0.4491, 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: 0.9637, f_measure: 0.8955, kappa: 0.786, kb_relative_information_score: 0.6704, mean_absolute_error: 0.1729, 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: 0.3539, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2759, root_relative_squared_error: 0.5583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.906, f_measure: 0.827, kappa: 0.6449, kb_relative_information_score: 0.5004, mean_absolute_error: 0.2579, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8272, predictive_accuracy: 0.8277, prior_entropy: 0.9835, recall: 0.8277, relative_absolute_error: 0.5277, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3498, root_relative_squared_error: 0.7077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9436, f_measure: 0.866, kappa: 0.7253, kb_relative_information_score: 0.5683, mean_absolute_error: 0.2274, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8661, predictive_accuracy: 0.8663, prior_entropy: 0.9835, recall: 0.8663, relative_absolute_error: 0.4653, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3117, root_relative_squared_error: 0.6306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8, f_measure: 0.8131, kappa: 0.6166, kb_relative_information_score: 0.5786, mean_absolute_error: 0.2085, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8131, predictive_accuracy: 0.8137, prior_entropy: 0.9835, recall: 0.8137, relative_absolute_error: 0.4268, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4109, root_relative_squared_error: 0.8313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.908, f_measure: 0.8267, kappa: 0.6444, kb_relative_information_score: 0.4905, mean_absolute_error: 0.2648, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8268, predictive_accuracy: 0.8273, prior_entropy: 0.9835, recall: 0.8273, relative_absolute_error: 0.5419, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.349, root_relative_squared_error: 0.7061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9736, f_measure: 0.9155, kappa: 0.8271, kb_relative_information_score: 0.7135, mean_absolute_error: 0.1525, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9155, predictive_accuracy: 0.9155, prior_entropy: 0.9835, recall: 0.9155, relative_absolute_error: 0.3122, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.253, root_relative_squared_error: 0.5118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8924, f_measure: 0.8124, kappa: 0.6145, kb_relative_information_score: 0.4583, mean_absolute_error: 0.2796, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8132, predictive_accuracy: 0.8137, prior_entropy: 0.9835, recall: 0.8137, relative_absolute_error: 0.5722, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3627, root_relative_squared_error: 0.7337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9278, f_measure: 0.8467, kappa: 0.6857, kb_relative_information_score: 0.566, mean_absolute_error: 0.2237, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8466, predictive_accuracy: 0.847, prior_entropy: 0.9835, recall: 0.847, relative_absolute_error: 0.4579, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3275, root_relative_squared_error: 0.6626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9511, f_measure: 0.8778, kappa: 0.7498, kb_relative_information_score: 0.68, mean_absolute_error: 0.1633, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8778, predictive_accuracy: 0.8779, prior_entropy: 0.9835, recall: 0.8779, relative_absolute_error: 0.3343, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2955, root_relative_squared_error: 0.5978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.942, kappa: 0.8813, kb_relative_information_score: 0.8206, mean_absolute_error: 0.0947, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.942, predictive_accuracy: 0.942, prior_entropy: 0.9835, recall: 0.942, relative_absolute_error: 0.1939, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2084, root_relative_squared_error: 0.4217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9078, f_measure: 0.8263, kappa: 0.6435, kb_relative_information_score: 0.5012, mean_absolute_error: 0.2577, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8265, predictive_accuracy: 0.827, prior_entropy: 0.9835, recall: 0.827, relative_absolute_error: 0.5274, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3487, root_relative_squared_error: 0.7056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.876, f_measure: 0.799, kappa: 0.5863, kb_relative_information_score: 0.453, mean_absolute_error: 0.2807, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8023, predictive_accuracy: 0.8016, prior_entropy: 0.9835, recall: 0.8016, relative_absolute_error: 0.5745, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3733, root_relative_squared_error: 0.7552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9221, f_measure: 0.8164, kappa: 0.6227, kb_relative_information_score: 0.2181, mean_absolute_error: 0.4052, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8335, predictive_accuracy: 0.822, prior_entropy: 0.9835, recall: 0.822, relative_absolute_error: 0.8293, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4171, root_relative_squared_error: 0.8438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9303, f_measure: 0.8509, kappa: 0.6942, kb_relative_information_score: 0.5567, mean_absolute_error: 0.2299, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8509, predictive_accuracy: 0.8513, prior_entropy: 0.9835, recall: 0.8513, relative_absolute_error: 0.4706, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3257, root_relative_squared_error: 0.6588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9391, f_measure: 0.8605, kappa: 0.714, kb_relative_information_score: 0.5787, mean_absolute_error: 0.2194, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8605, predictive_accuracy: 0.8609, prior_entropy: 0.9835, recall: 0.8609, relative_absolute_error: 0.449, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3149, root_relative_squared_error: 0.6371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9357, f_measure: 0.8538, kappa: 0.7002, kb_relative_information_score: 0.5696, mean_absolute_error: 0.2233, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8537, predictive_accuracy: 0.854, prior_entropy: 0.9835, recall: 0.854, relative_absolute_error: 0.457, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3197, root_relative_squared_error: 0.6467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9519, f_measure: 0.8788, kappa: 0.7517, kb_relative_information_score: 0.6505, mean_absolute_error: 0.1807, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8788, predictive_accuracy: 0.879, prior_entropy: 0.9835, recall: 0.879, relative_absolute_error: 0.3698, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2945, root_relative_squared_error: 0.5958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9156, f_measure: 0.8339, kappa: 0.6591, kb_relative_information_score: 0.5225, mean_absolute_error: 0.2467, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8339, predictive_accuracy: 0.8344, prior_entropy: 0.9835, recall: 0.8344, relative_absolute_error: 0.505, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3411, root_relative_squared_error: 0.6901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9184, f_measure: 0.863, kappa: 0.7194, kb_relative_information_score: 0.6386, mean_absolute_error: 0.1843, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8629, predictive_accuracy: 0.863, prior_entropy: 0.9835, recall: 0.863, relative_absolute_error: 0.3772, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3221, root_relative_squared_error: 0.6516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9575, f_measure: 0.8843, kappa: 0.763, kb_relative_information_score: 0.6459, mean_absolute_error: 0.1852, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8843, predictive_accuracy: 0.8844, prior_entropy: 0.9835, recall: 0.8844, relative_absolute_error: 0.379, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2872, root_relative_squared_error: 0.5811,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9468, f_measure: 0.8711, kappa: 0.7358, kb_relative_information_score: 0.6304, mean_absolute_error: 0.1912, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.871, predictive_accuracy: 0.8712, prior_entropy: 0.9835, recall: 0.8712, relative_absolute_error: 0.3912, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3021, root_relative_squared_error: 0.6113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9253, f_measure: 0.845, kappa: 0.6823, kb_relative_information_score: 0.5691, mean_absolute_error: 0.2217, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.845, predictive_accuracy: 0.8454, prior_entropy: 0.9835, recall: 0.8454, relative_absolute_error: 0.4537, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3295, root_relative_squared_error: 0.6667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9364, f_measure: 0.8555, kappa: 0.7037, kb_relative_information_score: 0.5779, mean_absolute_error: 0.2187, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8554, predictive_accuracy: 0.8558, prior_entropy: 0.9835, recall: 0.8558, relative_absolute_error: 0.4475, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3182, root_relative_squared_error: 0.6438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9676, f_measure: 0.9038, kappa: 0.803, kb_relative_information_score: 0.671, mean_absolute_error: 0.1751, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9037, predictive_accuracy: 0.9038, prior_entropy: 0.9835, recall: 0.9038, relative_absolute_error: 0.3583, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2691, root_relative_squared_error: 0.5445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9217, f_measure: 0.8424, kappa: 0.6765, kb_relative_information_score: 0.525, mean_absolute_error: 0.2467, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8426, predictive_accuracy: 0.843, prior_entropy: 0.9835, recall: 0.843, relative_absolute_error: 0.505, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3358, root_relative_squared_error: 0.6793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7978, f_measure: 0.7764, kappa: 0.5468, kb_relative_information_score: 0.4808, mean_absolute_error: 0.2577, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.781, predictive_accuracy: 0.7753, prior_entropy: 0.9835, recall: 0.7753, relative_absolute_error: 0.5275, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4359, root_relative_squared_error: 0.8819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8861, f_measure: 0.8313, kappa: 0.654, kb_relative_information_score: 0.5829, mean_absolute_error: 0.2101, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8312, predictive_accuracy: 0.8317, prior_entropy: 0.9835, recall: 0.8317, relative_absolute_error: 0.43, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3576, root_relative_squared_error: 0.7235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9228, f_measure: 0.842, kappa: 0.676, kb_relative_information_score: 0.5591, mean_absolute_error: 0.2269, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8421, predictive_accuracy: 0.8425, prior_entropy: 0.9835, recall: 0.8425, relative_absolute_error: 0.4643, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3326, root_relative_squared_error: 0.6729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9072, f_measure: 0.828, kappa: 0.6469, kb_relative_information_score: 0.5013, mean_absolute_error: 0.2575, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8282, predictive_accuracy: 0.8287, prior_entropy: 0.9835, recall: 0.8287, relative_absolute_error: 0.527, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3491, root_relative_squared_error: 0.7063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9355, f_measure: 0.8559, kappa: 0.7047, kb_relative_information_score: 0.5814, mean_absolute_error: 0.2169, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8559, predictive_accuracy: 0.8562, prior_entropy: 0.9835, recall: 0.8562, relative_absolute_error: 0.444, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3184, root_relative_squared_error: 0.6442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9572, f_measure: 0.8867, kappa: 0.7679, kb_relative_information_score: 0.6696, mean_absolute_error: 0.1717, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8866, predictive_accuracy: 0.8868, prior_entropy: 0.9835, recall: 0.8868, relative_absolute_error: 0.3513, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2847, root_relative_squared_error: 0.5761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.929, f_measure: 0.8477, kappa: 0.6878, kb_relative_information_score: 0.5702, mean_absolute_error: 0.2215, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8477, predictive_accuracy: 0.8481, prior_entropy: 0.9835, recall: 0.8481, relative_absolute_error: 0.4534, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3261, root_relative_squared_error: 0.6597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.97, f_measure: 0.9072, kappa: 0.81, kb_relative_information_score: 0.7195, mean_absolute_error: 0.1468, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9072, predictive_accuracy: 0.9072, prior_entropy: 0.9835, recall: 0.9072, relative_absolute_error: 0.3005, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2594, root_relative_squared_error: 0.5248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.893, f_measure: 0.8134, kappa: 0.6163, kb_relative_information_score: 0.4446, mean_absolute_error: 0.2873, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8152, predictive_accuracy: 0.8151, prior_entropy: 0.9835, recall: 0.8151, relative_absolute_error: 0.588, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3639, root_relative_squared_error: 0.7363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9619, f_measure: 0.8934, kappa: 0.7817, kb_relative_information_score: 0.6418, mean_absolute_error: 0.1902, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8934, predictive_accuracy: 0.8934, prior_entropy: 0.9835, recall: 0.8934, relative_absolute_error: 0.3894, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2812, root_relative_squared_error: 0.5689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8629, f_measure: 0.7643, kappa: 0.5156, kb_relative_information_score: 0.3511, mean_absolute_error: 0.3339, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7784, predictive_accuracy: 0.7715, prior_entropy: 0.9835, recall: 0.7715, relative_absolute_error: 0.6833, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3921, root_relative_squared_error: 0.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9173, f_measure: 0.8351, kappa: 0.6618, kb_relative_information_score: 0.5059, mean_absolute_error: 0.2579, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8351, predictive_accuracy: 0.8356, prior_entropy: 0.9835, recall: 0.8356, relative_absolute_error: 0.5278, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3407, root_relative_squared_error: 0.6893,
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: 0.8882, f_measure: 0.8016, kappa: 0.5916, kb_relative_information_score: 0.4276, mean_absolute_error: 0.2956, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8067, predictive_accuracy: 0.8048, prior_entropy: 0.9835, recall: 0.8048, relative_absolute_error: 0.605, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.369, root_relative_squared_error: 0.7465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8424, f_measure: 0.758, kappa: 0.5044, kb_relative_information_score: 0.3265, mean_absolute_error: 0.347, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7826, predictive_accuracy: 0.7684, prior_entropy: 0.9835, recall: 0.7684, relative_absolute_error: 0.7102, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4015, root_relative_squared_error: 0.8123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9104, f_measure: 0.831, kappa: 0.6532, kb_relative_information_score: 0.5067, mean_absolute_error: 0.2549, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.831, predictive_accuracy: 0.8315, prior_entropy: 0.9835, recall: 0.8315, relative_absolute_error: 0.5218, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3461, root_relative_squared_error: 0.7002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8697, f_measure: 0.7718, kappa: 0.5313, kb_relative_information_score: 0.3646, mean_absolute_error: 0.3274, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7876, predictive_accuracy: 0.7792, prior_entropy: 0.9835, recall: 0.7792, relative_absolute_error: 0.67, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3874, root_relative_squared_error: 0.7837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8659, f_measure: 0.8424, kappa: 0.6768, kb_relative_information_score: 0.6182, mean_absolute_error: 0.1918, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8424, predictive_accuracy: 0.8428, prior_entropy: 0.9835, recall: 0.8428, relative_absolute_error: 0.3924, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3582, root_relative_squared_error: 0.7247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8685, f_measure: 0.7702, kappa: 0.5278, kb_relative_information_score: 0.3627, mean_absolute_error: 0.3283, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7856, predictive_accuracy: 0.7775, prior_entropy: 0.9835, recall: 0.7775, relative_absolute_error: 0.6719, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3882, root_relative_squared_error: 0.7853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9343, f_measure: 0.8538, kappa: 0.7005, kb_relative_information_score: 0.6002, mean_absolute_error: 0.2051, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8538, predictive_accuracy: 0.854, prior_entropy: 0.9835, recall: 0.854, relative_absolute_error: 0.4198, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3194, root_relative_squared_error: 0.6463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9857, f_measure: 0.9413, kappa: 0.8797, kb_relative_information_score: 0.8178, mean_absolute_error: 0.0963, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9412, predictive_accuracy: 0.9413, prior_entropy: 0.9835, recall: 0.9413, relative_absolute_error: 0.1972, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2096, root_relative_squared_error: 0.4241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9272, f_measure: 0.8447, kappa: 0.6816, kb_relative_information_score: 0.5437, mean_absolute_error: 0.2366, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8447, predictive_accuracy: 0.8451, prior_entropy: 0.9835, recall: 0.8451, relative_absolute_error: 0.4842, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3298, root_relative_squared_error: 0.6673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.925, f_measure: 0.8446, kappa: 0.6813, kb_relative_information_score: 0.5464, mean_absolute_error: 0.2348, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8445, predictive_accuracy: 0.8449, prior_entropy: 0.9835, recall: 0.8449, relative_absolute_error: 0.4805, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3314, root_relative_squared_error: 0.6705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8781, f_measure: 0.8004, kappa: 0.5895, kb_relative_information_score: 0.4653, mean_absolute_error: 0.2738, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.802, predictive_accuracy: 0.8022, prior_entropy: 0.9835, recall: 0.8022, relative_absolute_error: 0.5603, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3719, root_relative_squared_error: 0.7525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9183, f_measure: 0.8368, kappa: 0.6652, kb_relative_information_score: 0.53, mean_absolute_error: 0.2429, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8368, predictive_accuracy: 0.8373, prior_entropy: 0.9835, recall: 0.8373, relative_absolute_error: 0.4971, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3384, root_relative_squared_error: 0.6846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8427, f_measure: 0.8153, kappa: 0.62, kb_relative_information_score: 0.5339, mean_absolute_error: 0.2361, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.818, predictive_accuracy: 0.8173, prior_entropy: 0.9835, recall: 0.8173, relative_absolute_error: 0.4831, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.375, root_relative_squared_error: 0.7586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9201, kappa: 0.8365, kb_relative_information_score: 0.7933, mean_absolute_error: 0.1055, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9201, predictive_accuracy: 0.9201, prior_entropy: 0.9835, recall: 0.9201, relative_absolute_error: 0.216, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2432, root_relative_squared_error: 0.4921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9109, f_measure: 0.8467, kappa: 0.6857, kb_relative_information_score: 0.6061, mean_absolute_error: 0.1999, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8466, predictive_accuracy: 0.847, prior_entropy: 0.9835, recall: 0.847, relative_absolute_error: 0.4091, 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: 0.96, f_measure: 0.8897, kappa: 0.7741, kb_relative_information_score: 0.6383, mean_absolute_error: 0.1909, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8896, predictive_accuracy: 0.8898, prior_entropy: 0.9835, recall: 0.8898, relative_absolute_error: 0.3906, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2848, root_relative_squared_error: 0.5762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9422, f_measure: 0.8633, kappa: 0.7199, kb_relative_information_score: 0.5847, mean_absolute_error: 0.2165, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8633, predictive_accuracy: 0.8635, prior_entropy: 0.9835, recall: 0.8635, relative_absolute_error: 0.4431, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3115, root_relative_squared_error: 0.6302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7862, f_measure: 0.7195, kappa: 0.423, kb_relative_information_score: 0.27, mean_absolute_error: 0.3682, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.72, predictive_accuracy: 0.7221, prior_entropy: 0.9835, recall: 0.7221, 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: 0.8403, f_measure: 0.8097, kappa: 0.6097, kb_relative_information_score: 0.5279, mean_absolute_error: 0.2376, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8096, predictive_accuracy: 0.8102, prior_entropy: 0.9835, recall: 0.8102, relative_absolute_error: 0.4862, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3896, root_relative_squared_error: 0.7882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9376, f_measure: 0.8592, kappa: 0.7113, kb_relative_information_score: 0.5866, mean_absolute_error: 0.2144, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8592, predictive_accuracy: 0.8595, prior_entropy: 0.9835, recall: 0.8595, relative_absolute_error: 0.4388, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3158, root_relative_squared_error: 0.639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8152, f_measure: 0.8113, kappa: 0.6133, kb_relative_information_score: 0.5793, mean_absolute_error: 0.2074, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8111, predictive_accuracy: 0.8116, prior_entropy: 0.9835, recall: 0.8116, relative_absolute_error: 0.4245, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4073, root_relative_squared_error: 0.8241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8801, f_measure: 0.7566, kappa: 0.5045, kb_relative_information_score: 0.1708, mean_absolute_error: 0.4237, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.797, predictive_accuracy: 0.7707, prior_entropy: 0.9835, recall: 0.7707, relative_absolute_error: 0.8672, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4353, root_relative_squared_error: 0.8806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.941, f_measure: 0.864, kappa: 0.7212, kb_relative_information_score: 0.5891, mean_absolute_error: 0.2148, 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: 0.4397, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3115, root_relative_squared_error: 0.6302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9448, kappa: 0.887, kb_relative_information_score: 0.8408, mean_absolute_error: 0.0832, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9448, predictive_accuracy: 0.9448, prior_entropy: 0.9835, recall: 0.9448, relative_absolute_error: 0.1702, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2033, root_relative_squared_error: 0.4113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9186, f_measure: 0.8403, kappa: 0.6727, kb_relative_information_score: 0.6275, mean_absolute_error: 0.1849, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8402, predictive_accuracy: 0.8404, prior_entropy: 0.9835, recall: 0.8404, relative_absolute_error: 0.3785, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3482, root_relative_squared_error: 0.7044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9726, f_measure: 0.9118, kappa: 0.8195, kb_relative_information_score: 0.7074, mean_absolute_error: 0.155, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9118, predictive_accuracy: 0.9118, prior_entropy: 0.9835, recall: 0.9118, relative_absolute_error: 0.3173, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2563, root_relative_squared_error: 0.5185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8957, f_measure: 0.8144, kappa: 0.6188, kb_relative_information_score: 0.4846, mean_absolute_error: 0.2646, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8147, predictive_accuracy: 0.8153, prior_entropy: 0.9835, recall: 0.8153, relative_absolute_error: 0.5415, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3588, root_relative_squared_error: 0.726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8462, f_measure: 0.7512, kappa: 0.4886, kb_relative_information_score: 0.3187, mean_absolute_error: 0.35, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7637, predictive_accuracy: 0.7586, prior_entropy: 0.9835, recall: 0.7586, relative_absolute_error: 0.7163, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4024, root_relative_squared_error: 0.8141,

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