OpenML
Supervised Classification on SpeedDating

Supervised Classification on SpeedDating

Task 125968 Supervised Classification SpeedDating 1170 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8433, average_cost: 0.6924, f_measure: 0.3656, kappa: 0.0866, kb_relative_information_score: -15670.8039, mean_absolute_error: 0.5954, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8645, predictive_accuracy: 0.3544, prior_entropy: 0.6457, recall: 0.3544, relative_absolute_error: 2.1633, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.687, root_relative_squared_error: 1.8521, total_cost: 5801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6055, average_cost: 0.7396, f_measure: 0.3576, kappa: 0.0818, kb_relative_information_score: -15823.0042, mean_absolute_error: 0.6518, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8603, predictive_accuracy: 0.3482, prior_entropy: 0.6457, recall: 0.3482, relative_absolute_error: 2.3683, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.8074, root_relative_squared_error: 2.1766, total_cost: 6196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6218, average_cost: 0.7283, f_measure: 0.397, kappa: 0.0971, kb_relative_information_score: -14755.0943, mean_absolute_error: 0.6231, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8612, predictive_accuracy: 0.3769, prior_entropy: 0.6457, recall: 0.3769, relative_absolute_error: 2.2638, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.7893, root_relative_squared_error: 2.128, total_cost: 6102,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6028, average_cost: 0.7279, f_measure: 0.3491, kappa: 0.0792, kb_relative_information_score: -16040.1311, mean_absolute_error: 0.6577, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8615, predictive_accuracy: 0.3423, prior_entropy: 0.6457, recall: 0.3423, relative_absolute_error: 2.3896, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.811, root_relative_squared_error: 2.1863, total_cost: 6098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6295, average_cost: 0.7316, f_measure: 0.4159, kappa: 0.1048, kb_relative_information_score: -14223.3549, mean_absolute_error: 0.6087, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.861, predictive_accuracy: 0.3913, prior_entropy: 0.6457, recall: 0.3913, relative_absolute_error: 2.2118, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.7802, root_relative_squared_error: 2.1034, total_cost: 6129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.62, average_cost: 0.71, f_measure: 0.3899, kappa: 0.0951, kb_relative_information_score: -14941.2031, mean_absolute_error: 0.6281, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8627, predictive_accuracy: 0.3719, prior_entropy: 0.6457, recall: 0.3719, relative_absolute_error: 2.282, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.7925, root_relative_squared_error: 2.1366, total_cost: 5948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6034, average_cost: 0.7054, f_measure: 0.3474, kappa: 0.0795, kb_relative_information_score: -16075.5804, mean_absolute_error: 0.6586, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8637, predictive_accuracy: 0.3414, prior_entropy: 0.6457, recall: 0.3414, relative_absolute_error: 2.3931, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.8116, root_relative_squared_error: 2.1879, total_cost: 5910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6142, average_cost: 0.7195, f_measure: 0.3771, kappa: 0.0898, kb_relative_information_score: -15295.696, mean_absolute_error: 0.6376, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.862, predictive_accuracy: 0.3624, prior_entropy: 0.6457, recall: 0.3624, relative_absolute_error: 2.3167, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.7985, root_relative_squared_error: 2.1528, total_cost: 6028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6034, average_cost: 0.7054, f_measure: 0.3474, kappa: 0.0795, kb_relative_information_score: -16075.5804, mean_absolute_error: 0.6586, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8637, predictive_accuracy: 0.3414, prior_entropy: 0.6457, recall: 0.3414, relative_absolute_error: 2.3931, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.8116, root_relative_squared_error: 2.1879, total_cost: 5910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6279, average_cost: 0.7288, f_measure: 0.4118, kappa: 0.1032, kb_relative_information_score: -14338.5651, mean_absolute_error: 0.6118, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8612, predictive_accuracy: 0.3882, prior_entropy: 0.6457, recall: 0.3882, relative_absolute_error: 2.2231, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.7822, root_relative_squared_error: 2.1088, total_cost: 6106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6268, average_cost: 0.7254, f_measure: 0.4087, kappa: 0.102, kb_relative_information_score: -14427.1883, mean_absolute_error: 0.6142, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8614, predictive_accuracy: 0.3858, prior_entropy: 0.6457, recall: 0.3858, relative_absolute_error: 2.2317, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.7837, root_relative_squared_error: 2.1129, total_cost: 6077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6033, average_cost: 0.7055, f_measure: 0.3472, kappa: 0.0795, kb_relative_information_score: -16080.0116, mean_absolute_error: 0.6587, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8636, predictive_accuracy: 0.3413, prior_entropy: 0.6457, recall: 0.3413, relative_absolute_error: 2.3935, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.8116, root_relative_squared_error: 2.1881, total_cost: 5911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5922, average_cost: 0.7295, f_measure: 0.3212, kappa: 0.0697, kb_relative_information_score: -16753.5481, mean_absolute_error: 0.6769, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8618, predictive_accuracy: 0.3231, prior_entropy: 0.6457, recall: 0.3231, relative_absolute_error: 2.4594, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.8227, root_relative_squared_error: 2.2181, total_cost: 6112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6033, average_cost: 0.7057, f_measure: 0.347, kappa: 0.0794, kb_relative_information_score: -16084.4427, mean_absolute_error: 0.6589, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8636, predictive_accuracy: 0.3411, prior_entropy: 0.6457, recall: 0.3411, relative_absolute_error: 2.3939, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.8117, root_relative_squared_error: 2.1883, total_cost: 5912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.597, average_cost: 0.7323, f_measure: 0.3344, kappa: 0.074, kb_relative_information_score: -16421.211, mean_absolute_error: 0.6679, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8613, predictive_accuracy: 0.3321, prior_entropy: 0.6457, recall: 0.3321, relative_absolute_error: 2.4269, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.8173, root_relative_squared_error: 2.2033, total_cost: 6135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6139, average_cost: 0.7147, f_measure: 0.3755, kappa: 0.0894, kb_relative_information_score: -15335.5764, mean_absolute_error: 0.6387, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8624, predictive_accuracy: 0.3613, prior_entropy: 0.6457, recall: 0.3613, relative_absolute_error: 2.3206, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.7992, root_relative_squared_error: 2.1546, total_cost: 5988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8572, average_cost: 6.7057, 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: 56180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8251, average_cost: 1.0905, f_measure: 0.5971, kappa: 0.1932, kb_relative_information_score: -11668.6896, mean_absolute_error: 0.4691, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8509, predictive_accuracy: 0.547, prior_entropy: 0.6457, recall: 0.547, relative_absolute_error: 1.7044, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.5264, root_relative_squared_error: 1.4192, total_cost: 9136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6254, average_cost: 0.7224, f_measure: 0.4048, kappa: 0.1006, kb_relative_information_score: -14533.5362, mean_absolute_error: 0.6171, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8617, predictive_accuracy: 0.3829, prior_entropy: 0.6457, recall: 0.3829, relative_absolute_error: 2.2421, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.7856, root_relative_squared_error: 2.1178, total_cost: 6052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8511, average_cost: 0.7456, f_measure: 0.4282, kappa: 0.1095, kb_relative_information_score: -14902.9359, mean_absolute_error: 0.5435, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8601, predictive_accuracy: 0.4006, prior_entropy: 0.6457, recall: 0.4006, relative_absolute_error: 1.9748, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.5964, root_relative_squared_error: 1.6078, total_cost: 6247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6033, average_cost: 0.7057, f_measure: 0.347, kappa: 0.0794, kb_relative_information_score: -16084.4427, mean_absolute_error: 0.6589, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8636, predictive_accuracy: 0.3411, prior_entropy: 0.6457, recall: 0.3411, relative_absolute_error: 2.3939, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.8117, root_relative_squared_error: 2.1883, total_cost: 5912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8627, average_cost: 3.8661, f_measure: 0.8574, kappa: 0.4746, kb_relative_information_score: -1754.8536, mean_absolute_error: 0.2705, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8557, predictive_accuracy: 0.8595, prior_entropy: 0.6457, recall: 0.8595, relative_absolute_error: 0.9828, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3339, root_relative_squared_error: 0.9002, total_cost: 32390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8443, average_cost: 0.7201, f_measure: 0.4, kappa: 0.0987, kb_relative_information_score: -15016.8254, mean_absolute_error: 0.5764, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8618, predictive_accuracy: 0.3793, prior_entropy: 0.6457, recall: 0.3793, relative_absolute_error: 2.0941, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.6683, root_relative_squared_error: 1.8016, total_cost: 6033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6317, average_cost: 0.7279, f_measure: 0.4207, kappa: 0.107, kb_relative_information_score: -14085.9889, mean_absolute_error: 0.605, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8613, predictive_accuracy: 0.395, prior_entropy: 0.6457, recall: 0.395, relative_absolute_error: 2.1983, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.7778, root_relative_squared_error: 2.097, total_cost: 6098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6296, average_cost: 0.7261, f_measure: 0.4154, kappa: 0.1048, kb_relative_information_score: -14236.6484, mean_absolute_error: 0.6091, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8614, predictive_accuracy: 0.3909, prior_entropy: 0.6457, recall: 0.3909, relative_absolute_error: 2.2131, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.7804, root_relative_squared_error: 2.1041, total_cost: 6083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5845, average_cost: 0.7853, f_measure: 0.3089, kappa: 0.0635, kb_relative_information_score: -17085.8852, mean_absolute_error: 0.6858, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8559, predictive_accuracy: 0.3142, prior_entropy: 0.6457, recall: 0.3142, relative_absolute_error: 2.4919, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.8282, root_relative_squared_error: 2.2327, total_cost: 6579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7576, average_cost: 8.2359, f_measure: 0.7603, kb_relative_information_score: 2216.613, mean_absolute_error: 0.1671, 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: 0.607, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3975, root_relative_squared_error: 1.0718, total_cost: 69000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8522, average_cost: 8.2299, f_measure: 0.7606, kappa: 0.0012, kb_relative_information_score: 2140.2274, mean_absolute_error: 0.1818, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8625, predictive_accuracy: 0.8354, prior_entropy: 0.6457, recall: 0.8354, relative_absolute_error: 0.6606, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3526, root_relative_squared_error: 0.9506, total_cost: 68950,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8406, average_cost: 1.9924, f_measure: 0.7794, kappa: 0.368, kb_relative_information_score: -4410.2459, mean_absolute_error: 0.3211, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8521, predictive_accuracy: 0.7505, prior_entropy: 0.6457, recall: 0.7505, relative_absolute_error: 1.1667, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.408, root_relative_squared_error: 1.1001, total_cost: 16692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7245, average_cost: 8.2359, f_measure: 0.7603, kb_relative_information_score: 2240.9336, mean_absolute_error: 0.1658, 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: 0.6023, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4013, root_relative_squared_error: 1.0818, total_cost: 69000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6031, average_cost: 0.7114, f_measure: 0.3473, kappa: 0.0793, kb_relative_information_score: -16080.0116, mean_absolute_error: 0.6587, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8631, predictive_accuracy: 0.3413, prior_entropy: 0.6457, recall: 0.3413, relative_absolute_error: 2.3935, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.8116, root_relative_squared_error: 2.1881, total_cost: 5960,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6873, average_cost: 8.2359, f_measure: 0.7603, kb_relative_information_score: 2239.7477, mean_absolute_error: 0.1658, 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: 0.6025, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4046, root_relative_squared_error: 1.0907, total_cost: 69000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6175, average_cost: 0.7195, f_measure: 0.3851, kappa: 0.0928, kb_relative_information_score: -15078.5691, mean_absolute_error: 0.6318, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8619, predictive_accuracy: 0.3682, prior_entropy: 0.6457, recall: 0.3682, relative_absolute_error: 2.2955, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.7948, root_relative_squared_error: 2.1429, total_cost: 6028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5651, average_cost: 0.7694, f_measure: 0.2512, kappa: 0.0473, kb_relative_information_score: -18450.683, mean_absolute_error: 0.7226, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8588, predictive_accuracy: 0.2774, prior_entropy: 0.6457, recall: 0.2774, relative_absolute_error: 2.6255, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.8501, root_relative_squared_error: 2.2917, total_cost: 6446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6032, average_cost: 0.7058, f_measure: 0.3469, kappa: 0.0793, kb_relative_information_score: -16088.8739, mean_absolute_error: 0.659, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8636, predictive_accuracy: 0.341, prior_entropy: 0.6457, recall: 0.341, relative_absolute_error: 2.3944, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.8118, root_relative_squared_error: 2.1885, total_cost: 5913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6155, average_cost: 0.755, f_measure: 0.3851, kappa: 0.0914, kb_relative_information_score: -15091.8625, mean_absolute_error: 0.6321, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.859, predictive_accuracy: 0.3679, prior_entropy: 0.6457, recall: 0.3679, relative_absolute_error: 2.2968, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.7951, root_relative_squared_error: 2.1435, total_cost: 6325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.621, average_cost: 0.7135, f_measure: 0.3931, kappa: 0.0962, kb_relative_information_score: -14857.011, mean_absolute_error: 0.6258, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8624, predictive_accuracy: 0.3742, prior_entropy: 0.6457, recall: 0.3742, relative_absolute_error: 2.2738, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.7911, root_relative_squared_error: 2.1327, total_cost: 5978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5733, average_cost: 0.7449, f_measure: 0.2711, kappa: 0.0538, kb_relative_information_score: -17976.5487, mean_absolute_error: 0.7098, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8615, predictive_accuracy: 0.2902, prior_entropy: 0.6457, recall: 0.2902, relative_absolute_error: 2.5791, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.8425, root_relative_squared_error: 2.2714, total_cost: 6241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8442, average_cost: 0.7319, f_measure: 0.4, kappa: 0.0982, kb_relative_information_score: -14976.6407, mean_absolute_error: 0.575, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8609, predictive_accuracy: 0.3792, prior_entropy: 0.6457, recall: 0.3792, relative_absolute_error: 2.0893, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.6667, root_relative_squared_error: 1.7975, total_cost: 6132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5451, average_cost: 0.7653, f_measure: 0.189, kappa: 0.0316, kb_relative_information_score: -19819.9119, mean_absolute_error: 0.7595, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8633, predictive_accuracy: 0.2405, prior_entropy: 0.6457, recall: 0.2405, relative_absolute_error: 2.7595, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.8715, root_relative_squared_error: 2.3495, total_cost: 6412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6033, average_cost: 0.711, f_measure: 0.3478, kappa: 0.0795, kb_relative_information_score: -16066.7181, mean_absolute_error: 0.6584, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8631, predictive_accuracy: 0.3416, prior_entropy: 0.6457, recall: 0.3416, relative_absolute_error: 2.3922, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.8114, root_relative_squared_error: 2.1875, total_cost: 5957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6179, average_cost: 0.7188, f_measure: 0.386, kappa: 0.0932, kb_relative_information_score: -15051.9821, mean_absolute_error: 0.6311, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.862, predictive_accuracy: 0.3689, prior_entropy: 0.6457, recall: 0.3689, relative_absolute_error: 2.2929, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.7944, root_relative_squared_error: 2.1416, total_cost: 6022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5346, average_cost: 0.7828, f_measure: 0.1583, kappa: 0.024, kb_relative_information_score: -20466.8615, mean_absolute_error: 0.7769, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8624, 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: 6558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6535, average_cost: 6.666, f_measure: 0.7973, kappa: 0.1875, kb_relative_information_score: -180.7576, mean_absolute_error: 0.2284, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.7878, predictive_accuracy: 0.826, prior_entropy: 0.6457, recall: 0.826, relative_absolute_error: 0.8299, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3884, root_relative_squared_error: 1.0472, total_cost: 55848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.654, average_cost: 6.125, f_measure: 0.7877, kappa: 0.1902, kb_relative_information_score: 812.7798, mean_absolute_error: 0.2021, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.7787, predictive_accuracy: 0.7997, prior_entropy: 0.6457, recall: 0.7997, relative_absolute_error: 0.7342, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4318, root_relative_squared_error: 1.164, total_cost: 51315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.827, average_cost: 2.5143, f_measure: 0.7908, kappa: 0.368, kb_relative_information_score: -510.3219, mean_absolute_error: 0.2345, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8432, predictive_accuracy: 0.7667, prior_entropy: 0.6457, recall: 0.7667, relative_absolute_error: 0.852, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4535, root_relative_squared_error: 1.2227, total_cost: 21065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8301, average_cost: 2.3645, f_measure: 0.7895, kappa: 0.3715, kb_relative_information_score: -647.2097, mean_absolute_error: 0.2385, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8462, predictive_accuracy: 0.7644, prior_entropy: 0.6457, recall: 0.7644, relative_absolute_error: 0.8666, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4564, root_relative_squared_error: 1.2303, total_cost: 19810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6189, average_cost: 0.7277, f_measure: 0.3899, kappa: 0.0944, kb_relative_information_score: -14950.0654, mean_absolute_error: 0.6283, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8612, predictive_accuracy: 0.3717, prior_entropy: 0.6457, recall: 0.3717, relative_absolute_error: 2.2829, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.7927, root_relative_squared_error: 2.137, total_cost: 6097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8572, average_cost: 6.7057, 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: 56180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6903, average_cost: 6.7724, f_measure: 0.8025, kappa: 0.1984, kb_relative_information_score: 143.5281, mean_absolute_error: 0.2332, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.7999, predictive_accuracy: 0.8366, prior_entropy: 0.6457, recall: 0.8366, relative_absolute_error: 0.8474, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3653, root_relative_squared_error: 0.985, total_cost: 56739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5501, average_cost: 0.7731, f_measure: 0.2061, kappa: 0.0354, kb_relative_information_score: -19456.5566, mean_absolute_error: 0.7497, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8603, predictive_accuracy: 0.2503, prior_entropy: 0.6457, recall: 0.2503, relative_absolute_error: 2.724, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.8659, root_relative_squared_error: 2.3343, total_cost: 6477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8205, average_cost: 2.8251, f_measure: 0.7982, kappa: 0.37, kb_relative_information_score: -100.4613, mean_absolute_error: 0.2241, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.839, predictive_accuracy: 0.7775, prior_entropy: 0.6457, recall: 0.7775, relative_absolute_error: 0.8142, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4426, root_relative_squared_error: 1.1933, total_cost: 23669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6033, average_cost: 0.7055, f_measure: 0.3472, kappa: 0.0795, kb_relative_information_score: -16080.0116, mean_absolute_error: 0.6587, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8636, predictive_accuracy: 0.3413, prior_entropy: 0.6457, recall: 0.3413, relative_absolute_error: 2.3935, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.8116, root_relative_squared_error: 2.1881, total_cost: 5911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6339, average_cost: 0.9334, f_measure: 0.4518, kappa: 0.1123, kb_relative_information_score: -13248.4994, mean_absolute_error: 0.5825, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8483, predictive_accuracy: 0.4175, prior_entropy: 0.6457, recall: 0.4175, relative_absolute_error: 2.1164, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.7632, root_relative_squared_error: 2.0576, total_cost: 7820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8055, average_cost: 1.3348, f_measure: 0.6168, kappa: 0.1985, kb_relative_information_score: -11332.4483, mean_absolute_error: 0.4656, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8431, predictive_accuracy: 0.5659, prior_entropy: 0.6457, recall: 0.5659, relative_absolute_error: 1.6918, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.529, root_relative_squared_error: 1.4261, total_cost: 11183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5946, average_cost: 1.0794, f_measure: 0.3784, kappa: 0.0752, kb_relative_information_score: -15410.9062, mean_absolute_error: 0.6407, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8327, predictive_accuracy: 0.3593, prior_entropy: 0.6457, recall: 0.3593, relative_absolute_error: 2.328, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.8005, root_relative_squared_error: 2.158, total_cost: 9043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8424, average_cost: 0.718, f_measure: 0.3951, kappa: 0.0968, kb_relative_information_score: -15031.0758, mean_absolute_error: 0.5766, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.862, predictive_accuracy: 0.3756, prior_entropy: 0.6457, recall: 0.3756, relative_absolute_error: 2.0949, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.6679, root_relative_squared_error: 1.8007, total_cost: 6015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6032, average_cost: 0.7058, f_measure: 0.3469, kappa: 0.0793, kb_relative_information_score: -16088.8739, mean_absolute_error: 0.659, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8636, predictive_accuracy: 0.341, prior_entropy: 0.6457, recall: 0.341, relative_absolute_error: 2.3944, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.8118, root_relative_squared_error: 2.1885, total_cost: 5913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8341, average_cost: 2.9149, f_measure: 0.8055, kappa: 0.3812, kb_relative_information_score: -466.4482, mean_absolute_error: 0.2304, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.84, predictive_accuracy: 0.7872, prior_entropy: 0.6457, recall: 0.7872, relative_absolute_error: 0.8373, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3954, root_relative_squared_error: 1.066, total_cost: 24421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6228, average_cost: 0.7053, f_measure: 0.3961, kappa: 0.0978, kb_relative_information_score: -14768.3878, mean_absolute_error: 0.6234, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.863, predictive_accuracy: 0.3766, prior_entropy: 0.6457, recall: 0.3766, relative_absolute_error: 2.2651, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.7896, root_relative_squared_error: 2.1286, total_cost: 5909,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6087, average_cost: 0.7234, f_measure: 0.3636, kappa: 0.0846, kb_relative_information_score: -15659.0512, mean_absolute_error: 0.6474, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8617, predictive_accuracy: 0.3526, prior_entropy: 0.6457, recall: 0.3526, relative_absolute_error: 2.3523, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.8046, root_relative_squared_error: 2.1692, total_cost: 6061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8454, average_cost: 0.8654, f_measure: 0.55, kappa: 0.1695, kb_relative_information_score: -11114.0838, mean_absolute_error: 0.4855, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8576, predictive_accuracy: 0.5031, prior_entropy: 0.6457, recall: 0.5031, relative_absolute_error: 1.7641, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.6073, root_relative_squared_error: 1.6373, total_cost: 7250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8436, average_cost: 0.8353, f_measure: 0.0466, kb_relative_information_score: -21084.5158, mean_absolute_error: 0.7592, 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: 2.7583, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.8278, root_relative_squared_error: 2.2316, total_cost: 6998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8341, average_cost: 2.9149, f_measure: 0.8055, kappa: 0.3812, kb_relative_information_score: -466.4482, mean_absolute_error: 0.2304, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.84, predictive_accuracy: 0.7872, prior_entropy: 0.6457, recall: 0.7872, relative_absolute_error: 0.8373, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3954, root_relative_squared_error: 1.066, total_cost: 24421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6028, average_cost: 0.7065, f_measure: 0.3458, kappa: 0.079, kb_relative_information_score: -16115.4609, mean_absolute_error: 0.6597, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8636, predictive_accuracy: 0.3403, prior_entropy: 0.6457, recall: 0.3403, relative_absolute_error: 2.397, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.8122, root_relative_squared_error: 2.1897, total_cost: 5919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5983, average_cost: 0.7246, f_measure: 0.3369, kappa: 0.0751, kb_relative_information_score: -16354.7436, mean_absolute_error: 0.6661, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.862, predictive_accuracy: 0.3339, prior_entropy: 0.6457, recall: 0.3339, relative_absolute_error: 2.4204, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.8162, root_relative_squared_error: 2.2004, total_cost: 6071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8424, average_cost: 0.718, f_measure: 0.3951, kappa: 0.0968, kb_relative_information_score: -15031.0758, mean_absolute_error: 0.5766, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.862, predictive_accuracy: 0.3756, prior_entropy: 0.6457, recall: 0.3756, relative_absolute_error: 2.0949, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.6679, root_relative_squared_error: 1.8007, total_cost: 6015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8424, average_cost: 0.718, f_measure: 0.3951, kappa: 0.0968, kb_relative_information_score: -15031.0758, mean_absolute_error: 0.5766, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.862, predictive_accuracy: 0.3756, prior_entropy: 0.6457, recall: 0.3756, relative_absolute_error: 2.0949, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.6679, root_relative_squared_error: 1.8007, total_cost: 6015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5972, average_cost: 0.7319, f_measure: 0.3349, kappa: 0.0742, kb_relative_information_score: -16407.9175, mean_absolute_error: 0.6676, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8613, predictive_accuracy: 0.3324, prior_entropy: 0.6457, recall: 0.3324, relative_absolute_error: 2.4256, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.8171, root_relative_squared_error: 2.2028, total_cost: 6132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7591, average_cost: 1.9234, f_measure: 0.7153, kappa: 0.2749, kb_relative_information_score: -3821.4136, mean_absolute_error: 0.3273, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8389, predictive_accuracy: 0.6733, prior_entropy: 0.6457, recall: 0.6733, relative_absolute_error: 1.1892, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.5668, root_relative_squared_error: 1.5282, total_cost: 16114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6266, average_cost: 0.7311, f_measure: 0.4089, kappa: 0.1019, kb_relative_information_score: -14422.7572, mean_absolute_error: 0.6141, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.861, predictive_accuracy: 0.3859, prior_entropy: 0.6457, recall: 0.3859, relative_absolute_error: 2.2313, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.7837, root_relative_squared_error: 2.1127, total_cost: 6125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.646, average_cost: 0.9079, f_measure: 0.4754, kappa: 0.1249, kb_relative_information_score: -12517.3577, mean_absolute_error: 0.5628, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8512, predictive_accuracy: 0.4372, prior_entropy: 0.6457, recall: 0.4372, relative_absolute_error: 2.0448, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.7502, root_relative_squared_error: 2.0225, total_cost: 7606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6229, average_cost: 0.7372, f_measure: 0.4009, kappa: 0.0984, kb_relative_information_score: -14648.7464, mean_absolute_error: 0.6202, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8605, predictive_accuracy: 0.3798, prior_entropy: 0.6457, recall: 0.3798, relative_absolute_error: 2.2534, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.7875, root_relative_squared_error: 2.1231, total_cost: 6176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6036, average_cost: 0.7104, f_measure: 0.3486, kappa: 0.0798, kb_relative_information_score: -16044.5623, mean_absolute_error: 0.6578, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8631, predictive_accuracy: 0.3422, prior_entropy: 0.6457, recall: 0.3422, relative_absolute_error: 2.39, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.811, root_relative_squared_error: 2.1865, total_cost: 5952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7769, average_cost: 6.4495, f_measure: 0.818, kappa: 0.2611, kb_relative_information_score: 787.0884, mean_absolute_error: 0.217, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8238, predictive_accuracy: 0.8495, prior_entropy: 0.6457, recall: 0.8495, relative_absolute_error: 0.7885, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3368, root_relative_squared_error: 0.9079, total_cost: 54034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8581, average_cost: 0.8402, f_measure: 0.6297, kappa: 0.2306, kb_relative_information_score: -11339.4704, mean_absolute_error: 0.4572, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8641, predictive_accuracy: 0.5809, prior_entropy: 0.6457, recall: 0.5809, relative_absolute_error: 1.6613, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.506, root_relative_squared_error: 1.3641, total_cost: 7039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6045, average_cost: 0.709, f_measure: 0.3507, kappa: 0.0806, kb_relative_information_score: -15991.3883, mean_absolute_error: 0.6564, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8632, predictive_accuracy: 0.3436, prior_entropy: 0.6457, recall: 0.3436, relative_absolute_error: 2.3848, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.8102, root_relative_squared_error: 2.1842, total_cost: 5940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8424, average_cost: 0.7394, f_measure: 0.3821, kappa: 0.0909, kb_relative_information_score: -15256.1844, mean_absolute_error: 0.5833, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8602, predictive_accuracy: 0.3658, prior_entropy: 0.6457, recall: 0.3658, relative_absolute_error: 2.1195, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.6736, root_relative_squared_error: 1.8161, total_cost: 6195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5961, average_cost: 0.7231, f_measure: 0.3306, kappa: 0.0731, kb_relative_information_score: -16514.2654, mean_absolute_error: 0.6704, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8623, predictive_accuracy: 0.3296, prior_entropy: 0.6457, recall: 0.3296, relative_absolute_error: 2.436, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.8188, root_relative_squared_error: 2.2075, total_cost: 6058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8404, average_cost: 0.8954, f_measure: 0.61, kappa: 0.2117, kb_relative_information_score: -11494.732, mean_absolute_error: 0.4648, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8603, predictive_accuracy: 0.5608, prior_entropy: 0.6457, recall: 0.5608, relative_absolute_error: 1.6888, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.5218, root_relative_squared_error: 1.4067, total_cost: 7502,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6378, average_cost: 0.825, f_measure: 0.4471, kappa: 0.1147, kb_relative_information_score: -13350.4161, mean_absolute_error: 0.5852, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8551, predictive_accuracy: 0.4148, prior_entropy: 0.6457, recall: 0.4148, relative_absolute_error: 2.1263, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.765, root_relative_squared_error: 2.0624, total_cost: 6912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5949, average_cost: 0.7465, f_measure: 0.331, kappa: 0.0723, kb_relative_information_score: -16514.2654, mean_absolute_error: 0.6704, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8599, predictive_accuracy: 0.3296, prior_entropy: 0.6457, recall: 0.3296, relative_absolute_error: 2.436, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.8188, root_relative_squared_error: 2.2075, total_cost: 6254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6221, average_cost: 0.7225, f_measure: 0.3969, kappa: 0.0973, kb_relative_information_score: -14755.0943, mean_absolute_error: 0.6231, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8616, predictive_accuracy: 0.3769, prior_entropy: 0.6457, recall: 0.3769, relative_absolute_error: 2.2638, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.7893, root_relative_squared_error: 2.128, total_cost: 6053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.603, average_cost: 0.7061, f_measure: 0.3463, kappa: 0.0792, kb_relative_information_score: -16102.1674, mean_absolute_error: 0.6593, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8636, predictive_accuracy: 0.3407, prior_entropy: 0.6457, recall: 0.3407, relative_absolute_error: 2.3957, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.812, root_relative_squared_error: 2.1891, total_cost: 5916,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.566, average_cost: 0.7787, f_measure: 0.2553, kappa: 0.048, kb_relative_information_score: -18362.0597, mean_absolute_error: 0.7202, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8573, predictive_accuracy: 0.2798, prior_entropy: 0.6457, recall: 0.2798, relative_absolute_error: 2.6168, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.8487, root_relative_squared_error: 2.2879, total_cost: 6524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8115, average_cost: 0.905, f_measure: 0.5516, kappa: 0.1689, kb_relative_information_score: -11881.2484, mean_absolute_error: 0.5081, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8557, predictive_accuracy: 0.5044, prior_entropy: 0.6457, recall: 0.5044, relative_absolute_error: 1.846, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.627, root_relative_squared_error: 1.6904, total_cost: 7582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8276, average_cost: 4.8568, f_measure: 0.8466, kappa: 0.4098, kb_relative_information_score: 1708.8476, mean_absolute_error: 0.1864, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8426, predictive_accuracy: 0.8572, prior_entropy: 0.6457, recall: 0.8572, relative_absolute_error: 0.6772, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3228, root_relative_squared_error: 0.8701, total_cost: 40690,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6108, average_cost: 0.7788, f_measure: 0.3768, kappa: 0.0872, kb_relative_information_score: -15326.7141, mean_absolute_error: 0.6385, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8569, predictive_accuracy: 0.3615, prior_entropy: 0.6457, recall: 0.3615, relative_absolute_error: 2.3198, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.799, root_relative_squared_error: 2.1542, total_cost: 6525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6014, average_cost: 0.7088, f_measure: 0.3426, kappa: 0.0778, kb_relative_information_score: -16199.6529, mean_absolute_error: 0.662, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8634, predictive_accuracy: 0.338, prior_entropy: 0.6457, recall: 0.338, relative_absolute_error: 2.4052, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.8136, root_relative_squared_error: 2.1935, total_cost: 5938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6119, average_cost: 0.7663, f_measure: 0.3778, kappa: 0.0881, kb_relative_information_score: -15295.696, mean_absolute_error: 0.6376, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.858, predictive_accuracy: 0.3624, prior_entropy: 0.6457, recall: 0.3624, relative_absolute_error: 2.3167, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.7985, root_relative_squared_error: 2.1528, total_cost: 6420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6053, average_cost: 0.7237, f_measure: 0.355, kappa: 0.0815, kb_relative_information_score: -15885.0405, mean_absolute_error: 0.6535, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8618, predictive_accuracy: 0.3465, prior_entropy: 0.6457, recall: 0.3465, relative_absolute_error: 2.3744, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.8084, root_relative_squared_error: 2.1794, total_cost: 6063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8449, average_cost: 5.1172, f_measure: 0.8459, kappa: 0.3987, kb_relative_information_score: -70.6468, mean_absolute_error: 0.2351, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8432, predictive_accuracy: 0.86, prior_entropy: 0.6457, recall: 0.86, relative_absolute_error: 0.8543, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3233, root_relative_squared_error: 0.8715, total_cost: 42872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5935, average_cost: 0.7166, f_measure: 0.3227, kappa: 0.0708, kb_relative_information_score: -16709.2365, mean_absolute_error: 0.6757, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8631, predictive_accuracy: 0.3243, prior_entropy: 0.6457, recall: 0.3243, relative_absolute_error: 2.4551, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.822, root_relative_squared_error: 2.2161, total_cost: 6004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5958, average_cost: 0.7234, f_measure: 0.3301, kappa: 0.0729, kb_relative_information_score: -16527.5589, mean_absolute_error: 0.6708, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8622, predictive_accuracy: 0.3292, prior_entropy: 0.6457, recall: 0.3292, relative_absolute_error: 2.4373, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.819, root_relative_squared_error: 2.2081, total_cost: 6061,
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: 0.8543, average_cost: 3.3244, f_measure: 0.8404, kappa: 0.4464, kb_relative_information_score: -3129.494, mean_absolute_error: 0.297, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8496, predictive_accuracy: 0.8339, prior_entropy: 0.6457, recall: 0.8339, relative_absolute_error: 1.079, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3538, root_relative_squared_error: 0.9537, total_cost: 27852,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8561, average_cost: 6.0301, f_measure: 0.8329, kappa: 0.3252, kb_relative_information_score: 1168.5308, mean_absolute_error: 0.2077, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8411, predictive_accuracy: 0.8595, prior_entropy: 0.6457, recall: 0.8595, relative_absolute_error: 0.7545, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3171, root_relative_squared_error: 0.8548, total_cost: 50520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8394, average_cost: 4.8689, f_measure: 0.8461, kappa: 0.4078, kb_relative_information_score: -126.7166, mean_absolute_error: 0.2341, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.842, predictive_accuracy: 0.8568, prior_entropy: 0.6457, recall: 0.8568, relative_absolute_error: 0.8506, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3264, root_relative_squared_error: 0.8801, total_cost: 40792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6242, average_cost: 0.7244, f_measure: 0.4022, kappa: 0.0994, kb_relative_information_score: -14608.8659, mean_absolute_error: 0.6191, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8615, predictive_accuracy: 0.3809, prior_entropy: 0.6457, recall: 0.3809, relative_absolute_error: 2.2495, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.7868, root_relative_squared_error: 2.1213, total_cost: 6069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6558, average_cost: 1.3366, f_measure: 0.5433, kappa: 0.1448, kb_relative_information_score: -10412.556, mean_absolute_error: 0.5061, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8345, predictive_accuracy: 0.4939, prior_entropy: 0.6457, recall: 0.4939, relative_absolute_error: 1.8388, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.7114, root_relative_squared_error: 1.9179, total_cost: 11198,

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

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