OpenML
Supervised Classification on SpeedDating

Supervised Classification on SpeedDating

Task 125969 Supervised Classification SpeedDating 1071 runs submitted
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1071 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8647, average_cost: 0.2256, f_measure: 0.8542, kappa: 0.4491, kb_relative_information_score: -1257.0263, mean_absolute_error: 0.2619, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8506, predictive_accuracy: 0.8607, prior_entropy: 0.6457, recall: 0.8607, relative_absolute_error: 0.9516, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3279, root_relative_squared_error: 0.884, total_cost: 1890,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8649, average_cost: 0.2265, f_measure: 0.8536, kappa: 0.4465, kb_relative_information_score: -1255.5427, mean_absolute_error: 0.2619, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8499, predictive_accuracy: 0.8602, prior_entropy: 0.6457, recall: 0.8602, relative_absolute_error: 0.9516, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3279, root_relative_squared_error: 0.884, total_cost: 1898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8648, average_cost: 0.2268, f_measure: 0.8535, kappa: 0.4458, kb_relative_information_score: -1255.8798, mean_absolute_error: 0.2619, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8498, predictive_accuracy: 0.8601, prior_entropy: 0.6457, recall: 0.8601, relative_absolute_error: 0.9516, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3279, root_relative_squared_error: 0.884, total_cost: 1900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8646, average_cost: 0.225, f_measure: 0.8546, kappa: 0.4507, kb_relative_information_score: -1260.855, mean_absolute_error: 0.262, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.851, predictive_accuracy: 0.8611, prior_entropy: 0.6457, recall: 0.8611, relative_absolute_error: 0.9518, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.328, root_relative_squared_error: 0.8841, total_cost: 1885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8646, average_cost: 0.2248, f_measure: 0.8548, kappa: 0.4513, kb_relative_information_score: -1261.4732, mean_absolute_error: 0.262, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8512, predictive_accuracy: 0.8613, prior_entropy: 0.6457, recall: 0.8613, relative_absolute_error: 0.9519, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.328, root_relative_squared_error: 0.8842, total_cost: 1883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8642, average_cost: 0.2246, f_measure: 0.855, kappa: 0.4515, kb_relative_information_score: -1263.1175, mean_absolute_error: 0.262, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8514, predictive_accuracy: 0.8615, prior_entropy: 0.6457, recall: 0.8615, relative_absolute_error: 0.952, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.328, root_relative_squared_error: 0.8844, total_cost: 1882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8653, average_cost: 0.2245, f_measure: 0.8553, kappa: 0.4516, kb_relative_information_score: -1262.9524, mean_absolute_error: 0.2621, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8517, predictive_accuracy: 0.8623, prior_entropy: 0.6457, recall: 0.8623, relative_absolute_error: 0.9524, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3278, root_relative_squared_error: 0.8838, total_cost: 1881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8634, average_cost: 0.2195, f_measure: 0.8483, kappa: 0.4708, kb_relative_information_score: -3385.5868, mean_absolute_error: 0.3024, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.856, predictive_accuracy: 0.8427, prior_entropy: 0.6457, recall: 0.8427, relative_absolute_error: 1.0988, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3524, root_relative_squared_error: 0.95, total_cost: 1839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.863, average_cost: 0.2194, f_measure: 0.8486, kappa: 0.4709, kb_relative_information_score: -3397.2401, mean_absolute_error: 0.3027, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8559, predictive_accuracy: 0.8433, prior_entropy: 0.6457, recall: 0.8433, relative_absolute_error: 1.0997, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3527, root_relative_squared_error: 0.9508, total_cost: 1838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8642, average_cost: 0.2464, f_measure: 0.8435, kappa: 0.3788, kb_relative_information_score: -939.7797, mean_absolute_error: 0.2589, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.845, predictive_accuracy: 0.8626, prior_entropy: 0.6457, recall: 0.8626, relative_absolute_error: 0.9405, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.325, root_relative_squared_error: 0.8761, total_cost: 2064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8629, average_cost: 0.243, f_measure: 0.846, kappa: 0.3894, kb_relative_information_score: -919.2347, mean_absolute_error: 0.2583, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8474, predictive_accuracy: 0.8643, prior_entropy: 0.6457, recall: 0.8643, relative_absolute_error: 0.9384, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.325, root_relative_squared_error: 0.8763, total_cost: 2036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8607, average_cost: 0.2215, f_measure: 0.8468, kappa: 0.4663, kb_relative_information_score: -3417.8623, mean_absolute_error: 0.3031, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8548, predictive_accuracy: 0.8411, prior_entropy: 0.6457, recall: 0.8411, relative_absolute_error: 1.1012, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3535, root_relative_squared_error: 0.953, total_cost: 1856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8606, average_cost: 0.223, f_measure: 0.846, kappa: 0.463, kb_relative_information_score: -3418.2802, mean_absolute_error: 0.3031, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8539, predictive_accuracy: 0.8403, prior_entropy: 0.6457, recall: 0.8403, relative_absolute_error: 1.1012, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3535, root_relative_squared_error: 0.953, total_cost: 1868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8607, average_cost: 0.222, f_measure: 0.8465, kappa: 0.4652, kb_relative_information_score: -3420.6142, mean_absolute_error: 0.3032, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8545, predictive_accuracy: 0.8408, prior_entropy: 0.6457, recall: 0.8408, relative_absolute_error: 1.1015, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3536, root_relative_squared_error: 0.9532, total_cost: 1860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7775, average_cost: 0.2625, f_measure: 0.7979, kappa: 0.4023, kb_relative_information_score: -48.0692, mean_absolute_error: 0.2269, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8579, predictive_accuracy: 0.7731, prior_entropy: 0.6457, recall: 0.7731, relative_absolute_error: 0.8244, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4763, root_relative_squared_error: 1.2842, total_cost: 2199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7803, average_cost: 0.301, f_measure: 0.7558, kappa: 0.3556, kb_relative_information_score: -2002.2114, mean_absolute_error: 0.2795, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8641, predictive_accuracy: 0.7205, prior_entropy: 0.6457, recall: 0.7205, relative_absolute_error: 1.0157, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.5287, root_relative_squared_error: 1.4254, total_cost: 2522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.784, average_cost: 0.2597, f_measure: 0.7983, kappa: 0.408, kb_relative_information_score: -43.638, mean_absolute_error: 0.2268, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8611, predictive_accuracy: 0.7732, prior_entropy: 0.6457, recall: 0.7732, relative_absolute_error: 0.824, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4762, root_relative_squared_error: 1.2839, total_cost: 2176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7621, average_cost: 0.2281, f_measure: 0.8375, kappa: 0.4547, kb_relative_information_score: 1954.8158, mean_absolute_error: 0.173, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.855, predictive_accuracy: 0.827, prior_entropy: 0.6457, recall: 0.827, relative_absolute_error: 0.6284, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4159, root_relative_squared_error: 1.1212, total_cost: 1911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5537, average_cost: 0.2965, f_measure: 0.7986, kappa: 0.1644, kb_relative_information_score: 2796.7365, mean_absolute_error: 0.1503, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8454, predictive_accuracy: 0.8497, prior_entropy: 0.6457, recall: 0.8497, relative_absolute_error: 0.546, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3877, root_relative_squared_error: 1.0451, total_cost: 2484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.699, average_cost: 0.2261, f_measure: 0.8552, kappa: 0.4462, kb_relative_information_score: 3328.4759, mean_absolute_error: 0.136, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8517, predictive_accuracy: 0.864, prior_entropy: 0.6457, recall: 0.864, relative_absolute_error: 0.494, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3687, root_relative_squared_error: 0.994, total_cost: 1894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6088, average_cost: 0.6491, f_measure: 0.3631, kappa: 0.0846, kb_relative_information_score: -15667.9135, mean_absolute_error: 0.6476, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8622, predictive_accuracy: 0.3524, prior_entropy: 0.6457, recall: 0.3524, relative_absolute_error: 2.3532, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.8048, root_relative_squared_error: 2.1696, total_cost: 5438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.864, average_cost: 0.2896, f_measure: 0.8063, kappa: 0.1993, kb_relative_information_score: 971.5548, mean_absolute_error: 0.2212, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8399, predictive_accuracy: 0.8516, prior_entropy: 0.6457, recall: 0.8516, relative_absolute_error: 0.8037, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3187, root_relative_squared_error: 0.8592, total_cost: 2426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7352, average_cost: 0.6628, f_measure: 0.3626, kappa: 0.0669, kb_relative_information_score: -15695.0941, mean_absolute_error: 0.5935, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8263, predictive_accuracy: 0.3471, prior_entropy: 0.6457, recall: 0.3471, relative_absolute_error: 2.1564, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.6732, root_relative_squared_error: 1.8149, total_cost: 5553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8437, average_cost: 0.2561, f_measure: 0.8363, kappa: 0.3464, kb_relative_information_score: 1154.4378, mean_absolute_error: 0.2084, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8382, predictive_accuracy: 0.8581, prior_entropy: 0.6457, recall: 0.8581, relative_absolute_error: 0.7573, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3194, root_relative_squared_error: 0.8611, total_cost: 2146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8333, average_cost: 0.3392, f_measure: 0.7241, kappa: 0.3075, kb_relative_information_score: -3641.7932, mean_absolute_error: 0.3164, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8555, predictive_accuracy: 0.6833, prior_entropy: 0.6457, recall: 0.6833, relative_absolute_error: 1.1495, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.5344, root_relative_squared_error: 1.4406, total_cost: 2842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8434, average_cost: 0.2571, f_measure: 0.8356, kappa: 0.342, kb_relative_information_score: 1157.2728, mean_absolute_error: 0.2089, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8386, predictive_accuracy: 0.8584, prior_entropy: 0.6457, recall: 0.8584, relative_absolute_error: 0.7591, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3194, root_relative_squared_error: 0.8611, total_cost: 2154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8302, average_cost: 0.2529, f_measure: 0.8383, kappa: 0.3615, kb_relative_information_score: 1105.8921, mean_absolute_error: 0.2079, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8366, predictive_accuracy: 0.8563, prior_entropy: 0.6457, recall: 0.8563, relative_absolute_error: 0.7554, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3238, root_relative_squared_error: 0.873, total_cost: 2119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8329, average_cost: 0.2799, f_measure: 0.7885, kappa: 0.3707, kb_relative_information_score: -637.3579, mean_absolute_error: 0.2384, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8465, predictive_accuracy: 0.763, prior_entropy: 0.6457, recall: 0.763, relative_absolute_error: 0.8661, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4558, root_relative_squared_error: 1.2289, total_cost: 2345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8275, average_cost: 0.2541, f_measure: 0.8374, kappa: 0.3581, kb_relative_information_score: 1132.7419, mean_absolute_error: 0.2072, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8354, predictive_accuracy: 0.8553, prior_entropy: 0.6457, recall: 0.8553, relative_absolute_error: 0.7529, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3249, root_relative_squared_error: 0.8759, total_cost: 2129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8291, average_cost: 0.2539, f_measure: 0.8375, kappa: 0.3589, kb_relative_information_score: 1087.3073, mean_absolute_error: 0.2078, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8356, predictive_accuracy: 0.8555, prior_entropy: 0.6457, recall: 0.8555, relative_absolute_error: 0.7551, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3248, root_relative_squared_error: 0.8756, total_cost: 2127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8704, average_cost: 0.2283, f_measure: 0.8557, kappa: 0.4365, kb_relative_information_score: 1827.769, mean_absolute_error: 0.1871, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8546, predictive_accuracy: 0.8689, prior_entropy: 0.6457, recall: 0.8689, relative_absolute_error: 0.6798, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3075, root_relative_squared_error: 0.8291, total_cost: 1913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8673, average_cost: 0.2282, f_measure: 0.8551, kappa: 0.4382, kb_relative_information_score: 1876.3625, mean_absolute_error: 0.1847, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8526, predictive_accuracy: 0.8667, prior_entropy: 0.6457, recall: 0.8667, relative_absolute_error: 0.6712, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.309, root_relative_squared_error: 0.8331, total_cost: 1912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8429, average_cost: 0.2564, f_measure: 0.8362, kappa: 0.3446, kb_relative_information_score: 1141.2274, mean_absolute_error: 0.2092, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.839, predictive_accuracy: 0.8587, prior_entropy: 0.6457, recall: 0.8587, relative_absolute_error: 0.7601, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3198, root_relative_squared_error: 0.8621, total_cost: 2148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8321, average_cost: 0.2533, f_measure: 0.8381, kappa: 0.3601, kb_relative_information_score: 1103.4716, mean_absolute_error: 0.2081, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8365, predictive_accuracy: 0.8563, prior_entropy: 0.6457, recall: 0.8563, relative_absolute_error: 0.7561, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3234, root_relative_squared_error: 0.8719, total_cost: 2122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8071, average_cost: 0.2816, f_measure: 0.8158, kappa: 0.2508, kb_relative_information_score: 547.3455, mean_absolute_error: 0.2191, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8223, predictive_accuracy: 0.8487, prior_entropy: 0.6457, recall: 0.8487, relative_absolute_error: 0.7962, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.332, root_relative_squared_error: 0.895, total_cost: 2359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8572, average_cost: 0.2774, f_measure: 0.818, kappa: 0.2519, kb_relative_information_score: 983.2103, mean_absolute_error: 0.2188, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8444, predictive_accuracy: 0.8565, prior_entropy: 0.6457, recall: 0.8565, relative_absolute_error: 0.7949, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3189, root_relative_squared_error: 0.8598, total_cost: 2324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, average_cost: 0.3294, f_measure: 0.7603, kb_relative_information_score: 2260.5659, mean_absolute_error: 0.1647, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.6977, predictive_accuracy: 0.8353, prior_entropy: 0.6457, recall: 0.8353, relative_absolute_error: 0.5985, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4059, root_relative_squared_error: 1.0942, total_cost: 2760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, average_cost: 0.3294, f_measure: 0.7603, kb_relative_information_score: 2260.5659, mean_absolute_error: 0.1647, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.6977, predictive_accuracy: 0.8353, prior_entropy: 0.6457, recall: 0.8353, relative_absolute_error: 0.5985, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4059, root_relative_squared_error: 1.0942, total_cost: 2760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, average_cost: 0.3294, f_measure: 0.7603, kb_relative_information_score: 2260.5659, mean_absolute_error: 0.1647, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.6977, predictive_accuracy: 0.8353, prior_entropy: 0.6457, recall: 0.8353, relative_absolute_error: 0.5985, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4059, root_relative_squared_error: 1.0942, total_cost: 2760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, average_cost: 0.8353, f_measure: 0.0466, kb_relative_information_score: -22633.6994, mean_absolute_error: 0.8353, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.0271, predictive_accuracy: 0.1647, prior_entropy: 0.6457, recall: 0.1647, relative_absolute_error: 3.0349, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.9139, root_relative_squared_error: 2.4639, total_cost: 6998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, average_cost: 0.3294, f_measure: 0.7603, kb_relative_information_score: 2260.5659, mean_absolute_error: 0.1647, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.6977, predictive_accuracy: 0.8353, prior_entropy: 0.6457, recall: 0.8353, relative_absolute_error: 0.5985, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4059, root_relative_squared_error: 1.0942, total_cost: 2760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, average_cost: 0.3294, f_measure: 0.7603, kb_relative_information_score: 2260.5659, mean_absolute_error: 0.1647, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.6977, predictive_accuracy: 0.8353, prior_entropy: 0.6457, recall: 0.8353, relative_absolute_error: 0.5985, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4059, root_relative_squared_error: 1.0942, total_cost: 2760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6708, average_cost: 0.2399, f_measure: 0.8472, kappa: 0.4035, kb_relative_information_score: 3217.6968, mean_absolute_error: 0.1389, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8446, predictive_accuracy: 0.8611, prior_entropy: 0.6457, recall: 0.8611, relative_absolute_error: 0.5048, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3727, root_relative_squared_error: 1.0049, total_cost: 2010,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6186, average_cost: 0.2603, f_measure: 0.8331, kappa: 0.3217, kb_relative_information_score: 3266.4396, mean_absolute_error: 0.1376, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8482, predictive_accuracy: 0.8624, prior_entropy: 0.6457, recall: 0.8624, relative_absolute_error: 0.5, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.371, root_relative_squared_error: 1.0001, total_cost: 2181,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8452, average_cost: 0.253, f_measure: 0.8387, kappa: 0.355, kb_relative_information_score: 1154.6235, mean_absolute_error: 0.2088, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8423, predictive_accuracy: 0.8608, prior_entropy: 0.6457, recall: 0.8608, relative_absolute_error: 0.7587, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3191, root_relative_squared_error: 0.8602, total_cost: 2120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7196, average_cost: 0.2287, f_measure: 0.8483, kappa: 0.4452, kb_relative_information_score: 2783.443, mean_absolute_error: 0.1506, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8474, predictive_accuracy: 0.8494, prior_entropy: 0.6457, recall: 0.8494, relative_absolute_error: 0.5473, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3881, root_relative_squared_error: 1.0463, total_cost: 1916,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7197, average_cost: 0.2274, f_measure: 0.8496, kappa: 0.4481, kb_relative_information_score: 2845.4793, mean_absolute_error: 0.149, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8482, predictive_accuracy: 0.851, prior_entropy: 0.6457, recall: 0.851, relative_absolute_error: 0.5412, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.386, root_relative_squared_error: 1.0405, total_cost: 1905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7181, average_cost: 0.2282, f_measure: 0.8491, kappa: 0.4459, kb_relative_information_score: 2836.6169, mean_absolute_error: 0.1492, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8477, predictive_accuracy: 0.8508, prior_entropy: 0.6457, recall: 0.8508, relative_absolute_error: 0.5421, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3863, root_relative_squared_error: 1.0414, total_cost: 1912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7134, average_cost: 0.2322, f_measure: 0.8465, kappa: 0.4361, kb_relative_information_score: 2739.1314, mean_absolute_error: 0.1518, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.845, predictive_accuracy: 0.8482, prior_entropy: 0.6457, recall: 0.8482, relative_absolute_error: 0.5516, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3896, root_relative_squared_error: 1.0505, total_cost: 1945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7061, average_cost: 0.2385, f_measure: 0.8421, kappa: 0.4206, kb_relative_information_score: 2575.1784, mean_absolute_error: 0.1562, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8407, predictive_accuracy: 0.8438, prior_entropy: 0.6457, recall: 0.8438, relative_absolute_error: 0.5677, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3953, root_relative_squared_error: 1.0656, total_cost: 1998,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6901, average_cost: 0.2548, f_measure: 0.8304, kappa: 0.382, kb_relative_information_score: 2092.1818, mean_absolute_error: 0.1693, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.83, predictive_accuracy: 0.8307, prior_entropy: 0.6457, recall: 0.8307, relative_absolute_error: 0.615, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4114, root_relative_squared_error: 1.1091, total_cost: 2135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8568, average_cost: 0.2404, f_measure: 0.8478, kappa: 0.3982, kb_relative_information_score: 1443.14, mean_absolute_error: 0.1991, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8487, predictive_accuracy: 0.8651, prior_entropy: 0.6457, recall: 0.8651, relative_absolute_error: 0.7236, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3133, root_relative_squared_error: 0.8448, total_cost: 2014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8474, average_cost: 0.2422, f_measure: 0.8457, kappa: 0.3964, kb_relative_information_score: 1433.5804, mean_absolute_error: 0.1974, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8432, predictive_accuracy: 0.8602, prior_entropy: 0.6457, recall: 0.8602, relative_absolute_error: 0.7172, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3172, root_relative_squared_error: 0.855, total_cost: 2029,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.808, average_cost: 0.2524, f_measure: 0.8341, kappa: 0.3825, kb_relative_information_score: -147.0481, mean_absolute_error: 0.2368, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8307, predictive_accuracy: 0.8384, prior_entropy: 0.6457, recall: 0.8384, relative_absolute_error: 0.8605, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3422, root_relative_squared_error: 0.9224, total_cost: 2115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8587, average_cost: 0.2498, f_measure: 0.841, kappa: 0.3675, kb_relative_information_score: -29.8023, mean_absolute_error: 0.2393, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8425, predictive_accuracy: 0.8609, prior_entropy: 0.6457, recall: 0.8609, relative_absolute_error: 0.8693, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3201, root_relative_squared_error: 0.8629, total_cost: 2093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7155, average_cost: 0.2227, f_measure: 0.855, kappa: 0.4578, kb_relative_information_score: 3160.0917, mean_absolute_error: 0.1405, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8519, predictive_accuracy: 0.8595, prior_entropy: 0.6457, recall: 0.8595, relative_absolute_error: 0.5104, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3748, root_relative_squared_error: 1.0105, total_cost: 1866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7186, average_cost: 0.2205, f_measure: 0.8565, kappa: 0.4636, kb_relative_information_score: 3208.8345, mean_absolute_error: 0.1392, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8535, predictive_accuracy: 0.8608, prior_entropy: 0.6457, recall: 0.8608, relative_absolute_error: 0.5057, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3731, root_relative_squared_error: 1.0058, total_cost: 1847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.865, average_cost: 0.2767, f_measure: 0.8189, kappa: 0.2568, kb_relative_information_score: 869.6018, mean_absolute_error: 0.2219, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8414, predictive_accuracy: 0.8561, prior_entropy: 0.6457, recall: 0.8561, relative_absolute_error: 0.8063, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3168, root_relative_squared_error: 0.854, total_cost: 2318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7184, average_cost: 0.2212, f_measure: 0.8558, kappa: 0.4619, kb_relative_information_score: 3177.8164, mean_absolute_error: 0.14, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8529, predictive_accuracy: 0.86, prior_entropy: 0.6457, recall: 0.86, relative_absolute_error: 0.5087, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3742, root_relative_squared_error: 1.0088, total_cost: 1853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8629, average_cost: 0.2482, f_measure: 0.8423, kappa: 0.3722, kb_relative_information_score: -11.2731, mean_absolute_error: 0.2391, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8446, predictive_accuracy: 0.8624, prior_entropy: 0.6457, recall: 0.8624, relative_absolute_error: 0.8686, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3188, root_relative_squared_error: 0.8594, total_cost: 2079,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8633, average_cost: 0.2791, f_measure: 0.8162, kappa: 0.243, kb_relative_information_score: 1013.2175, mean_absolute_error: 0.2185, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8473, predictive_accuracy: 0.8565, prior_entropy: 0.6457, recall: 0.8565, relative_absolute_error: 0.7939, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3173, root_relative_squared_error: 0.8554, total_cost: 2338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5443, average_cost: 0.7609, f_measure: 0.1867, kappa: 0.031, kb_relative_information_score: -19868.6547, mean_absolute_error: 0.7608, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8633, predictive_accuracy: 0.2392, prior_entropy: 0.6457, recall: 0.2392, relative_absolute_error: 2.7643, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.8722, root_relative_squared_error: 2.3515, total_cost: 6375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7162, average_cost: 0.2226, f_measure: 0.8549, kappa: 0.4582, kb_relative_information_score: 3151.2294, mean_absolute_error: 0.1407, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8519, predictive_accuracy: 0.8593, prior_entropy: 0.6457, recall: 0.8593, relative_absolute_error: 0.5113, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3751, root_relative_squared_error: 1.0113, total_cost: 1865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7093, average_cost: 0.2305, f_measure: 0.849, kappa: 0.4387, kb_relative_information_score: 2903.0844, mean_absolute_error: 0.1474, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8462, predictive_accuracy: 0.8526, prior_entropy: 0.6457, recall: 0.8526, relative_absolute_error: 0.5356, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3839, root_relative_squared_error: 1.0351, total_cost: 1931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7008, average_cost: 0.2408, f_measure: 0.8412, kappa: 0.414, kb_relative_information_score: 2570.7473, mean_absolute_error: 0.1564, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.839, predictive_accuracy: 0.8436, prior_entropy: 0.6457, recall: 0.8436, relative_absolute_error: 0.5681, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3954, root_relative_squared_error: 1.0661, total_cost: 2017,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8301, average_cost: 0.4124, f_measure: 0.6488, kappa: 0.2404, kb_relative_information_score: -6777.3393, mean_absolute_error: 0.4, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8588, predictive_accuracy: 0.6003, prior_entropy: 0.6457, recall: 0.6003, relative_absolute_error: 1.4535, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.6093, root_relative_squared_error: 1.6425, total_cost: 3455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6855, average_cost: 0.2344, f_measure: 0.8499, kappa: 0.4222, kb_relative_information_score: 3191.1099, mean_absolute_error: 0.1397, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8462, predictive_accuracy: 0.8603, prior_entropy: 0.6457, recall: 0.8603, relative_absolute_error: 0.5074, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3737, root_relative_squared_error: 1.0075, total_cost: 1964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6092, average_cost: 0.6367, f_measure: 0.3881, kappa: 0.0869, kb_relative_information_score: -15065.2756, mean_absolute_error: 0.6314, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8483, predictive_accuracy: 0.3686, prior_entropy: 0.6457, recall: 0.3686, relative_absolute_error: 2.2942, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.7946, root_relative_squared_error: 2.1423, total_cost: 5334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7546, average_cost: 0.341, f_measure: 0.7225, kappa: 0.3055, kb_relative_information_score: -3451.2012, mean_absolute_error: 0.3186, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8554, predictive_accuracy: 0.6814, prior_entropy: 0.6457, recall: 0.6814, relative_absolute_error: 1.1575, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.5644, root_relative_squared_error: 1.5217, total_cost: 2857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7537, average_cost: 0.2799, f_measure: 0.7885, kappa: 0.3707, kb_relative_information_score: -424.7179, mean_absolute_error: 0.237, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8465, predictive_accuracy: 0.763, prior_entropy: 0.6457, recall: 0.763, relative_absolute_error: 0.8613, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4869, root_relative_squared_error: 1.3126, total_cost: 2345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.677, average_cost: 0.2593, f_measure: 0.8289, kappa: 0.367, kb_relative_information_score: 2140.9246, mean_absolute_error: 0.1679, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8261, predictive_accuracy: 0.8321, prior_entropy: 0.6457, recall: 0.8321, relative_absolute_error: 0.6102, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4098, root_relative_squared_error: 1.1048, total_cost: 2172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6092, average_cost: 0.2698, f_measure: 0.8256, kappa: 0.293, kb_relative_information_score: 2991.7076, mean_absolute_error: 0.145, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8337, predictive_accuracy: 0.855, prior_entropy: 0.6457, recall: 0.855, relative_absolute_error: 0.5269, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3808, root_relative_squared_error: 1.0267, total_cost: 2260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7537, average_cost: 0.2799, f_measure: 0.7885, kappa: 0.3707, kb_relative_information_score: -424.7179, mean_absolute_error: 0.237, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8465, predictive_accuracy: 0.763, prior_entropy: 0.6457, recall: 0.763, relative_absolute_error: 0.8613, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4869, root_relative_squared_error: 1.3126, total_cost: 2345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6092, average_cost: 0.3157, f_measure: 0.7905, kappa: 0.2259, kb_relative_information_score: 731.8152, mean_absolute_error: 0.2059, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.7871, predictive_accuracy: 0.7941, prior_entropy: 0.6457, recall: 0.7941, relative_absolute_error: 0.7481, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4538, root_relative_squared_error: 1.2233, total_cost: 2645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.808, average_cost: 0.2524, f_measure: 0.8341, kappa: 0.3825, kb_relative_information_score: -147.0481, mean_absolute_error: 0.2368, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8307, predictive_accuracy: 0.8384, prior_entropy: 0.6457, recall: 0.8384, relative_absolute_error: 0.8605, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3422, root_relative_squared_error: 0.9224, total_cost: 2115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6844, average_cost: 0.2501, f_measure: 0.8358, kappa: 0.3884, kb_relative_information_score: 2442.2436, mean_absolute_error: 0.1598, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8324, predictive_accuracy: 0.8402, prior_entropy: 0.6457, recall: 0.8402, relative_absolute_error: 0.5807, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3998, root_relative_squared_error: 1.0778, total_cost: 2095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5309, average_cost: 0.7786, f_measure: 0.1605, kappa: 0.0214, kb_relative_information_score: -20466.8615, mean_absolute_error: 0.7769, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8413, predictive_accuracy: 0.2231, prior_entropy: 0.6457, recall: 0.2231, relative_absolute_error: 2.8228, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.8814, root_relative_squared_error: 2.3763, total_cost: 6523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8104, average_cost: 0.534, f_measure: 0.5169, kappa: 0.1487, kb_relative_information_score: -13116.7013, mean_absolute_error: 0.5359, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8551, predictive_accuracy: 0.4731, prior_entropy: 0.6457, recall: 0.4731, relative_absolute_error: 1.9473, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.6422, root_relative_squared_error: 1.7314, total_cost: 4474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8333, average_cost: 0.3392, f_measure: 0.7241, kappa: 0.3075, kb_relative_information_score: -3641.7932, mean_absolute_error: 0.3164, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8555, predictive_accuracy: 0.6833, prior_entropy: 0.6457, recall: 0.6833, relative_absolute_error: 1.1495, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.5344, root_relative_squared_error: 1.4406, total_cost: 2842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7546, average_cost: 0.341, f_measure: 0.7225, kappa: 0.3055, kb_relative_information_score: -3451.2012, mean_absolute_error: 0.3186, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8554, predictive_accuracy: 0.6814, prior_entropy: 0.6457, recall: 0.6814, relative_absolute_error: 1.1575, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.5644, root_relative_squared_error: 1.5217, total_cost: 2857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8163, average_cost: 0.27, f_measure: 0.8256, kappa: 0.3016, kb_relative_information_score: 1048.8605, mean_absolute_error: 0.2141, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8256, predictive_accuracy: 0.8501, prior_entropy: 0.6457, recall: 0.8501, relative_absolute_error: 0.7778, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3294, root_relative_squared_error: 0.8879, total_cost: 2262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6283, average_cost: 0.3168, f_measure: 0.7871, kappa: 0.2448, kb_relative_information_score: 293.1302, mean_absolute_error: 0.2177, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.7925, predictive_accuracy: 0.7823, prior_entropy: 0.6457, recall: 0.7823, relative_absolute_error: 0.791, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4666, root_relative_squared_error: 1.2579, total_cost: 2654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8042, average_cost: 0.4493, f_measure: 0.6173, kappa: 0.2038, kb_relative_information_score: -11370.7363, mean_absolute_error: 0.4665, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8476, predictive_accuracy: 0.5668, prior_entropy: 0.6457, recall: 0.5668, relative_absolute_error: 1.6951, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.5298, root_relative_squared_error: 1.4284, total_cost: 3764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7468, average_cost: 0.2799, f_measure: 0.818, kappa: 0.2736, kb_relative_information_score: 524.0811, mean_absolute_error: 0.2277, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8143, predictive_accuracy: 0.8422, prior_entropy: 0.6457, recall: 0.8422, relative_absolute_error: 0.8275, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3475, root_relative_squared_error: 0.9367, total_cost: 2345,

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

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

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

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