Task
Supervised Classification on jungle_chess_2pcs_raw_endgame_complete

Supervised Classification on jungle_chess_2pcs_raw_endgame_complete

Task 167119 Supervised Classification jungle_chess_2pcs_raw_endgame_complete 6903 runs submitted
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  • OpenML-CC18 study_218 study_99
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6903 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7839, f_measure: 0.7399, kappa: 0.5691, kb_relative_information_score: 0.5486, mean_absolute_error: 0.1565, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.7383, predictive_accuracy: 0.7652, prior_entropy: 1.3491, recall: 0.7652, relative_absolute_error: 0.4085, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.3957, root_relative_squared_error: 0.9039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8199, f_measure: 0.7903, kappa: 0.6414, kb_relative_information_score: 0.6256, mean_absolute_error: 0.1326, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.7921, predictive_accuracy: 0.8011, prior_entropy: 1.3491, recall: 0.8011, relative_absolute_error: 0.346, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.3641, root_relative_squared_error: 0.8319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8631, f_measure: 0.8387, kappa: 0.7197, kb_relative_information_score: 0.7121, mean_absolute_error: 0.1066, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8377, predictive_accuracy: 0.8401, prior_entropy: 1.3491, recall: 0.8401, relative_absolute_error: 0.2782, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.3265, root_relative_squared_error: 0.7459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8502, f_measure: 0.8232, kappa: 0.6927, kb_relative_information_score: 0.6848, mean_absolute_error: 0.1169, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8221, predictive_accuracy: 0.8247, prior_entropy: 1.3491, recall: 0.8247, relative_absolute_error: 0.305, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.3418, root_relative_squared_error: 0.781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8, f_measure: 0.7584, kappa: 0.6015, kb_relative_information_score: 0.5772, mean_absolute_error: 0.145, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.7613, predictive_accuracy: 0.7824, prior_entropy: 1.3491, recall: 0.7824, relative_absolute_error: 0.3785, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.3808, root_relative_squared_error: 0.8701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7866, f_measure: 0.7354, kappa: 0.5767, kb_relative_information_score: 0.551, mean_absolute_error: 0.1521, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.7459, predictive_accuracy: 0.7718, prior_entropy: 1.3491, recall: 0.7718, relative_absolute_error: 0.397, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.39, root_relative_squared_error: 0.8911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8029, f_measure: 0.7628, kappa: 0.607, kb_relative_information_score: 0.5831, mean_absolute_error: 0.1433, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.7652, predictive_accuracy: 0.785, prior_entropy: 1.3491, recall: 0.785, relative_absolute_error: 0.3741, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.3786, root_relative_squared_error: 0.8649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8244, f_measure: 0.7964, kappa: 0.6454, kb_relative_information_score: 0.6484, mean_absolute_error: 0.1351, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.7957, predictive_accuracy: 0.7974, prior_entropy: 1.3491, recall: 0.7974, relative_absolute_error: 0.3525, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.3675, root_relative_squared_error: 0.8396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8386, f_measure: 0.8109, kappa: 0.6708, kb_relative_information_score: 0.6719, mean_absolute_error: 0.1259, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8106, predictive_accuracy: 0.8112, prior_entropy: 1.3491, recall: 0.8112, relative_absolute_error: 0.3285, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.3548, root_relative_squared_error: 0.8106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8664, f_measure: 0.8421, kappa: 0.7254, kb_relative_information_score: 0.7191, mean_absolute_error: 0.1047, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8415, predictive_accuracy: 0.8429, prior_entropy: 1.3491, recall: 0.8429, relative_absolute_error: 0.2733, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.3236, root_relative_squared_error: 0.7393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3891, f_measure: 0.2946, kappa: -0.2167, kb_relative_information_score: -0.1764, mean_absolute_error: 0.4725, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.2981, predictive_accuracy: 0.2912, prior_entropy: 1.3491, recall: 0.2912, relative_absolute_error: 1.2331, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.6874, root_relative_squared_error: 1.5705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8696, f_measure: 0.8481, kappa: 0.736, kb_relative_information_score: 0.7299, mean_absolute_error: 0.1001, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8473, predictive_accuracy: 0.8498, prior_entropy: 1.3491, recall: 0.8498, relative_absolute_error: 0.2613, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.3164, root_relative_squared_error: 0.7229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.866, f_measure: 0.8414, kappa: 0.7241, kb_relative_information_score: 0.718, mean_absolute_error: 0.1053, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8409, predictive_accuracy: 0.8421, prior_entropy: 1.3491, recall: 0.8421, relative_absolute_error: 0.2748, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.3245, root_relative_squared_error: 0.7413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8756, f_measure: 0.8544, kappa: 0.7468, kb_relative_information_score: 0.7424, mean_absolute_error: 0.0964, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8537, predictive_accuracy: 0.8554, prior_entropy: 1.3491, recall: 0.8554, relative_absolute_error: 0.2516, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.3105, root_relative_squared_error: 0.7094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8325, f_measure: 0.8038, kappa: 0.662, kb_relative_information_score: 0.6478, mean_absolute_error: 0.1265, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.802, predictive_accuracy: 0.8103, prior_entropy: 1.3491, recall: 0.8103, relative_absolute_error: 0.33, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.3556, root_relative_squared_error: 0.8125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8771, f_measure: 0.8574, kappa: 0.7518, kb_relative_information_score: 0.7512, mean_absolute_error: 0.0946, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.857, predictive_accuracy: 0.8581, prior_entropy: 1.3491, recall: 0.8581, relative_absolute_error: 0.2468, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.3075, root_relative_squared_error: 0.7026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5851, f_measure: 0.518, kappa: 0.1633, kb_relative_information_score: 0.1838, mean_absolute_error: 0.3217, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.5193, predictive_accuracy: 0.5174, prior_entropy: 1.3491, recall: 0.5174, relative_absolute_error: 0.8396, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.5672, root_relative_squared_error: 1.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8311, f_measure: 0.8025, kappa: 0.66, kb_relative_information_score: 0.6456, mean_absolute_error: 0.127, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.801, predictive_accuracy: 0.8095, prior_entropy: 1.3491, recall: 0.8095, relative_absolute_error: 0.3315, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.3564, root_relative_squared_error: 0.8142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8484, f_measure: 0.8211, kappa: 0.69, kb_relative_information_score: 0.6785, mean_absolute_error: 0.1173, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8193, predictive_accuracy: 0.824, prior_entropy: 1.3491, recall: 0.824, relative_absolute_error: 0.3062, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.3426, root_relative_squared_error: 0.7826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8436, f_measure: 0.8157, kappa: 0.6813, kb_relative_information_score: 0.6685, mean_absolute_error: 0.1202, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8137, predictive_accuracy: 0.8197, prior_entropy: 1.3491, recall: 0.8197, relative_absolute_error: 0.3137, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.3467, root_relative_squared_error: 0.7921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3539, f_measure: 0.254, kappa: -0.2814, kb_relative_information_score: -0.2294, mean_absolute_error: 0.4955, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.253, predictive_accuracy: 0.2568, prior_entropy: 1.3491, recall: 0.2568, relative_absolute_error: 1.2931, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.7039, root_relative_squared_error: 1.6082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8516, f_measure: 0.8249, kappa: 0.6957, kb_relative_information_score: 0.6874, mean_absolute_error: 0.1157, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8237, predictive_accuracy: 0.8265, prior_entropy: 1.3491, recall: 0.8265, relative_absolute_error: 0.3019, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.3401, root_relative_squared_error: 0.777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.8974, kappa: 0.8215, kb_relative_information_score: 0.7819, mean_absolute_error: 0.0989, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8974, predictive_accuracy: 0.8973, prior_entropy: 1.3491, recall: 0.8973, relative_absolute_error: 0.2582, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2122, root_relative_squared_error: 0.4848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8232, f_measure: 0.7902, kappa: 0.6349, kb_relative_information_score: 0.6329, mean_absolute_error: 0.1401, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.7905, predictive_accuracy: 0.7899, prior_entropy: 1.3491, recall: 0.7899, relative_absolute_error: 0.3656, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.3743, root_relative_squared_error: 0.8551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9762, f_measure: 0.8707, kappa: 0.7752, kb_relative_information_score: 0.7324, mean_absolute_error: 0.1205, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8704, predictive_accuracy: 0.8713, prior_entropy: 1.3491, recall: 0.8713, relative_absolute_error: 0.3144, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2314, root_relative_squared_error: 0.5286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9725, f_measure: 0.8677, kappa: 0.7699, kb_relative_information_score: 0.7508, mean_absolute_error: 0.109, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8675, predictive_accuracy: 0.868, prior_entropy: 1.3491, recall: 0.868, relative_absolute_error: 0.2845, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2374, root_relative_squared_error: 0.5423,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.8727, kappa: 0.7787, kb_relative_information_score: 0.7696, mean_absolute_error: 0.1021, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8724, predictive_accuracy: 0.8732, prior_entropy: 1.3491, recall: 0.8732, relative_absolute_error: 0.2664, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2211, root_relative_squared_error: 0.5052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.946, f_measure: 0.8286, kappa: 0.7021, kb_relative_information_score: 0.5717, mean_absolute_error: 0.1912, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8296, predictive_accuracy: 0.8322, prior_entropy: 1.3491, recall: 0.8322, relative_absolute_error: 0.499, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2846, root_relative_squared_error: 0.6502,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9421, f_measure: 0.8118, kappa: 0.6729, kb_relative_information_score: 0.541, mean_absolute_error: 0.2043, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8146, predictive_accuracy: 0.817, prior_entropy: 1.3491, recall: 0.817, relative_absolute_error: 0.5331, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2922, root_relative_squared_error: 0.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9628, f_measure: 0.8419, kappa: 0.7258, kb_relative_information_score: 0.6196, mean_absolute_error: 0.1734, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8438, predictive_accuracy: 0.8456, prior_entropy: 1.3491, recall: 0.8456, relative_absolute_error: 0.4525, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2627, root_relative_squared_error: 0.6003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9514, f_measure: 0.8355, kappa: 0.7144, kb_relative_information_score: 0.5794, mean_absolute_error: 0.1891, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8364, predictive_accuracy: 0.8389, prior_entropy: 1.3491, recall: 0.8389, relative_absolute_error: 0.4934, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2795, root_relative_squared_error: 0.6386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9633, f_measure: 0.853, kappa: 0.7445, kb_relative_information_score: 0.6513, mean_absolute_error: 0.1573, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8525, predictive_accuracy: 0.8545, prior_entropy: 1.3491, recall: 0.8545, relative_absolute_error: 0.4106, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2586, root_relative_squared_error: 0.5907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9647, f_measure: 0.8505, kappa: 0.7401, kb_relative_information_score: 0.6616, mean_absolute_error: 0.1525, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.85, predictive_accuracy: 0.8518, prior_entropy: 1.3491, recall: 0.8518, relative_absolute_error: 0.398, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2556, root_relative_squared_error: 0.5839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9493, f_measure: 0.8379, kappa: 0.7179, kb_relative_information_score: 0.7279, mean_absolute_error: 0.1064, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8381, predictive_accuracy: 0.8377, prior_entropy: 1.3491, recall: 0.8377, relative_absolute_error: 0.2778, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.3003, root_relative_squared_error: 0.6861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9377, f_measure: 0.8118, kappa: 0.6748, kb_relative_information_score: 0.5231, mean_absolute_error: 0.211, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8171, predictive_accuracy: 0.8188, prior_entropy: 1.3491, recall: 0.8188, relative_absolute_error: 0.5508, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.298, root_relative_squared_error: 0.6809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9769, f_measure: 0.8723, kappa: 0.778, kb_relative_information_score: 0.7423, mean_absolute_error: 0.1156, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.872, predictive_accuracy: 0.8728, prior_entropy: 1.3491, recall: 0.8728, relative_absolute_error: 0.3017, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2293, root_relative_squared_error: 0.5238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9633, f_measure: 0.8534, kappa: 0.7449, kb_relative_information_score: 0.6656, mean_absolute_error: 0.15, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8529, predictive_accuracy: 0.8544, prior_entropy: 1.3491, recall: 0.8544, relative_absolute_error: 0.3914, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2567, root_relative_squared_error: 0.5865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9675, f_measure: 0.8554, kappa: 0.7485, kb_relative_information_score: 0.6706, mean_absolute_error: 0.1486, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8549, predictive_accuracy: 0.8567, prior_entropy: 1.3491, recall: 0.8567, relative_absolute_error: 0.3878, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2514, root_relative_squared_error: 0.5744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9779, f_measure: 0.8739, kappa: 0.7808, kb_relative_information_score: 0.7504, mean_absolute_error: 0.1117, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8736, predictive_accuracy: 0.8744, prior_entropy: 1.3491, recall: 0.8744, relative_absolute_error: 0.2915, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2267, root_relative_squared_error: 0.5179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9498, f_measure: 0.8371, kappa: 0.7172, kb_relative_information_score: 0.5859, mean_absolute_error: 0.1855, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8379, predictive_accuracy: 0.8404, prior_entropy: 1.3491, recall: 0.8404, relative_absolute_error: 0.4842, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2802, root_relative_squared_error: 0.6401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9716, f_measure: 0.8503, kappa: 0.7397, kb_relative_information_score: 0.7466, mean_absolute_error: 0.0993, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8501, predictive_accuracy: 0.8506, prior_entropy: 1.3491, recall: 0.8506, relative_absolute_error: 0.2592, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2799, root_relative_squared_error: 0.6394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9534, f_measure: 0.8424, kappa: 0.7257, kb_relative_information_score: 0.6289, mean_absolute_error: 0.1659, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.842, predictive_accuracy: 0.8437, prior_entropy: 1.3491, recall: 0.8437, relative_absolute_error: 0.433, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2708, root_relative_squared_error: 0.6186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9696, f_measure: 0.8618, kappa: 0.7595, kb_relative_information_score: 0.7068, mean_absolute_error: 0.131, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8613, predictive_accuracy: 0.8624, prior_entropy: 1.3491, recall: 0.8624, relative_absolute_error: 0.342, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2448, root_relative_squared_error: 0.5593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9626, f_measure: 0.8479, kappa: 0.7358, kb_relative_information_score: 0.6391, mean_absolute_error: 0.1639, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8477, predictive_accuracy: 0.8498, prior_entropy: 1.3491, recall: 0.8498, relative_absolute_error: 0.4276, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2604, root_relative_squared_error: 0.5949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9666, f_measure: 0.856, kappa: 0.7494, kb_relative_information_score: 0.7007, mean_absolute_error: 0.1333, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8557, predictive_accuracy: 0.8564, prior_entropy: 1.3491, recall: 0.8564, relative_absolute_error: 0.3479, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2493, root_relative_squared_error: 0.5695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9769, f_measure: 0.8681, kappa: 0.7706, kb_relative_information_score: 0.7546, mean_absolute_error: 0.1087, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8677, predictive_accuracy: 0.8685, prior_entropy: 1.3491, recall: 0.8685, relative_absolute_error: 0.2836, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2286, root_relative_squared_error: 0.5222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9688, f_measure: 0.8602, kappa: 0.7569, kb_relative_information_score: 0.6943, mean_absolute_error: 0.1373, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8597, predictive_accuracy: 0.8609, prior_entropy: 1.3491, recall: 0.8609, relative_absolute_error: 0.3582, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.247, root_relative_squared_error: 0.5642,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.8679, kappa: 0.7703, kb_relative_information_score: 0.7625, mean_absolute_error: 0.1048, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8675, predictive_accuracy: 0.8684, prior_entropy: 1.3491, recall: 0.8684, relative_absolute_error: 0.2735, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2252, root_relative_squared_error: 0.5145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9575, f_measure: 0.8468, kappa: 0.7334, kb_relative_information_score: 0.6491, mean_absolute_error: 0.157, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8463, predictive_accuracy: 0.8477, prior_entropy: 1.3491, recall: 0.8477, relative_absolute_error: 0.4097, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2646, root_relative_squared_error: 0.6045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.978, f_measure: 0.868, kappa: 0.7705, kb_relative_information_score: 0.7575, mean_absolute_error: 0.1074, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8676, predictive_accuracy: 0.8686, prior_entropy: 1.3491, recall: 0.8686, relative_absolute_error: 0.2804, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2261, root_relative_squared_error: 0.5165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9785, f_measure: 0.8594, kappa: 0.7555, kb_relative_information_score: 0.7681, mean_absolute_error: 0.101, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.859, predictive_accuracy: 0.8599, prior_entropy: 1.3491, recall: 0.8599, relative_absolute_error: 0.2637, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2253, root_relative_squared_error: 0.5147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9737, f_measure: 0.8599, kappa: 0.7564, kb_relative_information_score: 0.7195, mean_absolute_error: 0.1255, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8594, predictive_accuracy: 0.8607, prior_entropy: 1.3491, recall: 0.8607, relative_absolute_error: 0.3275, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2371, root_relative_squared_error: 0.5416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9739, f_measure: 0.8694, kappa: 0.7727, kb_relative_information_score: 0.7514, mean_absolute_error: 0.109, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8692, predictive_accuracy: 0.8696, prior_entropy: 1.3491, recall: 0.8696, relative_absolute_error: 0.2844, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2364, root_relative_squared_error: 0.5401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9679, f_measure: 0.862, kappa: 0.7599, kb_relative_information_score: 0.757, mean_absolute_error: 0.095, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8619, predictive_accuracy: 0.862, prior_entropy: 1.3491, recall: 0.862, relative_absolute_error: 0.2478, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2797, root_relative_squared_error: 0.6391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9683, f_measure: 0.8597, kappa: 0.7561, kb_relative_information_score: 0.6899, mean_absolute_error: 0.1394, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8593, predictive_accuracy: 0.8605, prior_entropy: 1.3491, recall: 0.8605, relative_absolute_error: 0.3639, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2481, root_relative_squared_error: 0.5668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9648, f_measure: 0.8524, kappa: 0.7434, kb_relative_information_score: 0.6631, mean_absolute_error: 0.1518, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8519, predictive_accuracy: 0.8537, prior_entropy: 1.3491, recall: 0.8537, relative_absolute_error: 0.3961, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2552, root_relative_squared_error: 0.5831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9678, f_measure: 0.8583, kappa: 0.7535, kb_relative_information_score: 0.6956, mean_absolute_error: 0.136, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8579, predictive_accuracy: 0.859, prior_entropy: 1.3491, recall: 0.859, relative_absolute_error: 0.3549, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2482, root_relative_squared_error: 0.567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9533, f_measure: 0.84, kappa: 0.7215, kb_relative_information_score: 0.609, mean_absolute_error: 0.1753, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8399, predictive_accuracy: 0.8422, prior_entropy: 1.3491, recall: 0.8422, relative_absolute_error: 0.4575, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2735, root_relative_squared_error: 0.6248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.944, f_measure: 0.8169, kappa: 0.6841, kb_relative_information_score: 0.5037, mean_absolute_error: 0.2225, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8262, predictive_accuracy: 0.8247, prior_entropy: 1.3491, recall: 0.8247, relative_absolute_error: 0.5807, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2976, root_relative_squared_error: 0.6798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9807, f_measure: 0.8681, kappa: 0.7706, kb_relative_information_score: 0.7837, mean_absolute_error: 0.0926, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8676, predictive_accuracy: 0.8686, prior_entropy: 1.3491, recall: 0.8686, relative_absolute_error: 0.2417, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2234, root_relative_squared_error: 0.5103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9682, f_measure: 0.858, kappa: 0.7531, kb_relative_information_score: 0.6782, mean_absolute_error: 0.145, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8575, predictive_accuracy: 0.8592, prior_entropy: 1.3491, recall: 0.8592, relative_absolute_error: 0.3783, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2495, root_relative_squared_error: 0.57,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9454, f_measure: 0.8355, kappa: 0.7136, kb_relative_information_score: 0.594, mean_absolute_error: 0.1809, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8356, predictive_accuracy: 0.8378, prior_entropy: 1.3491, recall: 0.8378, relative_absolute_error: 0.472, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2815, root_relative_squared_error: 0.6431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9533, f_measure: 0.8423, kappa: 0.7254, kb_relative_information_score: 0.6289, mean_absolute_error: 0.1659, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8418, predictive_accuracy: 0.8435, prior_entropy: 1.3491, recall: 0.8435, relative_absolute_error: 0.4329, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2708, root_relative_squared_error: 0.6187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9326, f_measure: 0.7832, kappa: 0.623, kb_relative_information_score: 0.6169, mean_absolute_error: 0.1599, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.7826, predictive_accuracy: 0.7838, prior_entropy: 1.3491, recall: 0.7838, relative_absolute_error: 0.4173, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.3092, root_relative_squared_error: 0.7064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9519, f_measure: 0.7994, kappa: 0.6511, kb_relative_information_score: 0.6682, mean_absolute_error: 0.1351, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.7995, predictive_accuracy: 0.7993, prior_entropy: 1.3491, recall: 0.7993, relative_absolute_error: 0.3527, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2992, root_relative_squared_error: 0.6835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8959, f_measure: 0.7501, kappa: 0.5681, kb_relative_information_score: 0.5802, mean_absolute_error: 0.162, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.7462, predictive_accuracy: 0.7545, prior_entropy: 1.3491, recall: 0.7545, relative_absolute_error: 0.4228, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.3373, root_relative_squared_error: 0.7706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9394, kappa: 0.8945, kb_relative_information_score: 0.858, mean_absolute_error: 0.0646, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.9393, predictive_accuracy: 0.9395, prior_entropy: 1.3491, recall: 0.9395, relative_absolute_error: 0.1686, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.1726, root_relative_squared_error: 0.3942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.9339, kappa: 0.8855, kb_relative_information_score: 0.8375, mean_absolute_error: 0.0692, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.9352, predictive_accuracy: 0.9353, prior_entropy: 1.3491, recall: 0.9353, relative_absolute_error: 0.1805, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.1804, root_relative_squared_error: 0.4122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.8695, kappa: 0.7731, kb_relative_information_score: 0.7712, mean_absolute_error: 0.1005, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8693, predictive_accuracy: 0.8698, prior_entropy: 1.3491, recall: 0.8698, relative_absolute_error: 0.2624, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2215, root_relative_squared_error: 0.506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9231, f_measure: 0.7908, kappa: 0.6439, kb_relative_information_score: 0.4846, mean_absolute_error: 0.2253, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8045, predictive_accuracy: 0.8038, prior_entropy: 1.3491, recall: 0.8038, relative_absolute_error: 0.588, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.3122, root_relative_squared_error: 0.7132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7567, f_measure: 0.7066, kappa: 0.4923, kb_relative_information_score: 0.4885, mean_absolute_error: 0.196, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.7101, predictive_accuracy: 0.706, prior_entropy: 1.3491, recall: 0.706, relative_absolute_error: 0.5115, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.4427, root_relative_squared_error: 1.0114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9697, f_measure: 0.8615, kappa: 0.7593, kb_relative_information_score: 0.6985, mean_absolute_error: 0.1353, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8611, predictive_accuracy: 0.8625, prior_entropy: 1.3491, recall: 0.8625, relative_absolute_error: 0.3532, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2452, root_relative_squared_error: 0.5603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9737, f_measure: 0.8587, kappa: 0.7543, kb_relative_information_score: 0.7209, mean_absolute_error: 0.1252, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8581, predictive_accuracy: 0.8596, prior_entropy: 1.3491, recall: 0.8596, relative_absolute_error: 0.3266, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2365, root_relative_squared_error: 0.5403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, f_measure: 0.8629, kappa: 0.7617, kb_relative_information_score: 0.7846, mean_absolute_error: 0.0897, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8624, predictive_accuracy: 0.8635, prior_entropy: 1.3491, recall: 0.8635, relative_absolute_error: 0.2342, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2321, root_relative_squared_error: 0.5302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9787, f_measure: 0.8636, kappa: 0.7628, kb_relative_information_score: 0.7627, mean_absolute_error: 0.1047, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8632, predictive_accuracy: 0.8641, prior_entropy: 1.3491, recall: 0.8641, relative_absolute_error: 0.2733, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2243, root_relative_squared_error: 0.5124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9781, f_measure: 0.871, kappa: 0.7756, kb_relative_information_score: 0.7501, mean_absolute_error: 0.1119, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8706, predictive_accuracy: 0.8714, prior_entropy: 1.3491, recall: 0.8714, relative_absolute_error: 0.2921, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.226, root_relative_squared_error: 0.5163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9747, f_measure: 0.8706, kappa: 0.7751, kb_relative_information_score: 0.7398, mean_absolute_error: 0.1159, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8702, predictive_accuracy: 0.8713, prior_entropy: 1.3491, recall: 0.8713, relative_absolute_error: 0.3025, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2339, root_relative_squared_error: 0.5344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.976, f_measure: 0.8594, kappa: 0.7555, kb_relative_information_score: 0.7424, mean_absolute_error: 0.1144, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8589, predictive_accuracy: 0.86, prior_entropy: 1.3491, recall: 0.86, relative_absolute_error: 0.2984, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2317, root_relative_squared_error: 0.5293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9779, f_measure: 0.8676, kappa: 0.7698, kb_relative_information_score: 0.7575, mean_absolute_error: 0.1074, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8673, predictive_accuracy: 0.8681, prior_entropy: 1.3491, recall: 0.8681, relative_absolute_error: 0.2803, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2262, root_relative_squared_error: 0.5167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9778, f_measure: 0.8727, kappa: 0.7787, kb_relative_information_score: 0.7532, mean_absolute_error: 0.11, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8724, predictive_accuracy: 0.8732, prior_entropy: 1.3491, recall: 0.8732, relative_absolute_error: 0.2871, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2268, root_relative_squared_error: 0.5182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9751, f_measure: 0.8468, kappa: 0.7337, kb_relative_information_score: 0.7563, mean_absolute_error: 0.1037, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8463, predictive_accuracy: 0.8474, prior_entropy: 1.3491, recall: 0.8474, relative_absolute_error: 0.2706, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2382, root_relative_squared_error: 0.5442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9752, f_measure: 0.8513, kappa: 0.7414, kb_relative_information_score: 0.7594, mean_absolute_error: 0.0966, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.851, predictive_accuracy: 0.8516, prior_entropy: 1.3491, recall: 0.8516, relative_absolute_error: 0.2521, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2557, root_relative_squared_error: 0.5841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.8722, kappa: 0.7777, kb_relative_information_score: 0.7838, mean_absolute_error: 0.0949, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8718, predictive_accuracy: 0.8726, prior_entropy: 1.3491, recall: 0.8726, relative_absolute_error: 0.2476, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2155, root_relative_squared_error: 0.4922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3777, kappa: 0, kb_relative_information_score: -0.0347, mean_absolute_error: 0.4213, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.4252, predictive_accuracy: 0.3681, prior_entropy: 1.3491, recall: 0.3681, relative_absolute_error: 1.0994, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.6491, root_relative_squared_error: 1.4829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8071, f_measure: 0.6574, kappa: 0.4081, kb_relative_information_score: 0.3187, mean_absolute_error: 0.2842, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.6631, predictive_accuracy: 0.6821, prior_entropy: 1.3491, recall: 0.6821, relative_absolute_error: 0.7416, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.377, root_relative_squared_error: 0.8613,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9787, f_measure: 0.859, kappa: 0.7549, kb_relative_information_score: 0.7761, mean_absolute_error: 0.0894, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8587, predictive_accuracy: 0.8594, prior_entropy: 1.3491, recall: 0.8594, relative_absolute_error: 0.2333, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2473, root_relative_squared_error: 0.5651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9754, f_measure: 0.8711, kappa: 0.7759, kb_relative_information_score: 0.7367, mean_absolute_error: 0.1177, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8707, predictive_accuracy: 0.8718, prior_entropy: 1.3491, recall: 0.8718, relative_absolute_error: 0.3073, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2328, root_relative_squared_error: 0.5318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, f_measure: 0.8752, kappa: 0.783, kb_relative_information_score: 0.7946, mean_absolute_error: 0.0871, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8749, predictive_accuracy: 0.8755, prior_entropy: 1.3491, recall: 0.8755, relative_absolute_error: 0.2274, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2176, root_relative_squared_error: 0.497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4262, kappa: -0, kb_relative_information_score: 0.0496, mean_absolute_error: 0.3767, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.4252, predictive_accuracy: 0.435, prior_entropy: 1.3491, recall: 0.435, relative_absolute_error: 0.983, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.6137, root_relative_squared_error: 1.4021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9404, f_measure: 0.8285, kappa: 0.7017, kb_relative_information_score: 0.705, mean_absolute_error: 0.1142, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8282, predictive_accuracy: 0.8288, prior_entropy: 1.3491, recall: 0.8288, relative_absolute_error: 0.298, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.3172, root_relative_squared_error: 0.7248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8067, f_measure: 0.6561, kappa: 0.4059, kb_relative_information_score: 0.319, mean_absolute_error: 0.284, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.6609, predictive_accuracy: 0.6807, prior_entropy: 1.3491, recall: 0.6807, relative_absolute_error: 0.7411, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.3771, root_relative_squared_error: 0.8615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9383, f_measure: 0.8238, kappa: 0.6943, kb_relative_information_score: 0.5582, mean_absolute_error: 0.1953, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8268, predictive_accuracy: 0.8285, prior_entropy: 1.3491, recall: 0.8285, relative_absolute_error: 0.5098, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2915, root_relative_squared_error: 0.6659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9648, f_measure: 0.8546, kappa: 0.747, kb_relative_information_score: 0.6909, mean_absolute_error: 0.1378, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8543, predictive_accuracy: 0.8551, prior_entropy: 1.3491, recall: 0.8551, relative_absolute_error: 0.3597, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2523, root_relative_squared_error: 0.5765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9093, f_measure: 0.7564, kappa: 0.5994, kb_relative_information_score: 0.4466, mean_absolute_error: 0.2372, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.7887, predictive_accuracy: 0.7825, prior_entropy: 1.3491, recall: 0.7825, relative_absolute_error: 0.619, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.3239, root_relative_squared_error: 0.74,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9588, f_measure: 0.8089, kappa: 0.6673, kb_relative_information_score: 0.7083, mean_absolute_error: 0.1247, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8086, predictive_accuracy: 0.8095, prior_entropy: 1.3491, recall: 0.8095, relative_absolute_error: 0.3254, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2632, root_relative_squared_error: 0.6013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9532, f_measure: 0.8394, kappa: 0.7205, kb_relative_information_score: 0.6081, mean_absolute_error: 0.1757, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8393, predictive_accuracy: 0.8416, prior_entropy: 1.3491, recall: 0.8416, relative_absolute_error: 0.4586, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2737, root_relative_squared_error: 0.6253,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9746, f_measure: 0.8691, kappa: 0.7722, kb_relative_information_score: 0.7342, mean_absolute_error: 0.1191, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8687, predictive_accuracy: 0.8695, prior_entropy: 1.3491, recall: 0.8695, relative_absolute_error: 0.3107, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2341, root_relative_squared_error: 0.5349,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9771, f_measure: 0.8688, kappa: 0.7718, kb_relative_information_score: 0.7569, mean_absolute_error: 0.1076, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8685, predictive_accuracy: 0.8692, prior_entropy: 1.3491, recall: 0.8692, relative_absolute_error: 0.2807, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.228, root_relative_squared_error: 0.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9794, f_measure: 0.8763, kappa: 0.785, kb_relative_information_score: 0.7629, mean_absolute_error: 0.1057, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.876, predictive_accuracy: 0.8768, prior_entropy: 1.3491, recall: 0.8768, relative_absolute_error: 0.2758, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2225, root_relative_squared_error: 0.5083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9802, f_measure: 0.8632, kappa: 0.7622, kb_relative_information_score: 0.7853, mean_absolute_error: 0.0875, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8629, predictive_accuracy: 0.8635, prior_entropy: 1.3491, recall: 0.8635, relative_absolute_error: 0.2284, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2329, root_relative_squared_error: 0.5322,

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