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: 0.5889, average_cost: 0.7243, f_measure: 0.3115, kappa: 0.0668, kb_relative_information_score: -16992.8308, mean_absolute_error: 0.6833, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8626, predictive_accuracy: 0.3167, prior_entropy: 0.6457, recall: 0.3167, relative_absolute_error: 2.4828, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.8266, root_relative_squared_error: 2.2286, total_cost: 6068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6093, average_cost: 0.7224, f_measure: 0.365, kappa: 0.0852, kb_relative_information_score: -15619.1708, mean_absolute_error: 0.6463, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8618, predictive_accuracy: 0.3537, prior_entropy: 0.6457, recall: 0.3537, relative_absolute_error: 2.3484, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.804, root_relative_squared_error: 2.1674, total_cost: 6052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7171, average_cost: 4.1568, f_measure: 0.8565, kappa: 0.4625, kb_relative_information_score: 3222.128, mean_absolute_error: 0.1388, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8533, predictive_accuracy: 0.8612, prior_entropy: 0.6457, recall: 0.8612, relative_absolute_error: 0.5044, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3726, root_relative_squared_error: 1.0045, total_cost: 34826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8316, average_cost: 5.0082, f_measure: 0.8455, kappa: 0.401, kb_relative_information_score: -147.1308, mean_absolute_error: 0.234, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8418, predictive_accuracy: 0.8578, prior_entropy: 0.6457, recall: 0.8578, relative_absolute_error: 0.8503, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.328, root_relative_squared_error: 0.8844, total_cost: 41959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6529, average_cost: 0.773, f_measure: 0.4744, kappa: 0.1301, kb_relative_information_score: -12504.0642, mean_absolute_error: 0.5624, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8593, predictive_accuracy: 0.4376, prior_entropy: 0.6457, recall: 0.4376, relative_absolute_error: 2.0435, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.75, root_relative_squared_error: 2.0218, total_cost: 6476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6199, average_cost: 0.7208, f_measure: 0.3912, kappa: 0.0952, kb_relative_information_score: -14910.1849, mean_absolute_error: 0.6272, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8618, predictive_accuracy: 0.3728, prior_entropy: 0.6457, recall: 0.3728, relative_absolute_error: 2.279, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.792, root_relative_squared_error: 2.1352, total_cost: 6039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7392, average_cost: 7.0532, f_measure: 0.8003, kappa: 0.1795, kb_relative_information_score: -10.7425, mean_absolute_error: 0.2315, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8092, predictive_accuracy: 0.8423, prior_entropy: 0.6457, recall: 0.8423, relative_absolute_error: 0.8411, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3496, root_relative_squared_error: 0.9425, total_cost: 59092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6269, average_cost: 0.7788, f_measure: 0.416, kappa: 0.1028, kb_relative_information_score: -14241.0795, mean_absolute_error: 0.6092, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8575, predictive_accuracy: 0.3908, prior_entropy: 0.6457, recall: 0.3908, relative_absolute_error: 2.2135, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.7805, root_relative_squared_error: 2.1043, total_cost: 6525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6028, average_cost: 0.7332, f_measure: 0.3499, kappa: 0.0793, kb_relative_information_score: -16022.4065, mean_absolute_error: 0.6572, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.861, predictive_accuracy: 0.3428, prior_entropy: 0.6457, recall: 0.3428, relative_absolute_error: 2.3879, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.8107, root_relative_squared_error: 2.1856, total_cost: 6143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7337, average_cost: 8.2359, f_measure: 0.7603, kb_relative_information_score: -133.5281, mean_absolute_error: 0.2681, 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: 0.9743, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3633, root_relative_squared_error: 0.9794, total_cost: 69000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6249, average_cost: 0.7231, f_measure: 0.4039, kappa: 0.1002, kb_relative_information_score: -14560.1232, mean_absolute_error: 0.6178, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8616, predictive_accuracy: 0.3822, prior_entropy: 0.6457, recall: 0.3822, relative_absolute_error: 2.2447, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.786, root_relative_squared_error: 2.119, total_cost: 6058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6947, average_cost: 6.7724, f_measure: 0.8025, kappa: 0.1984, kb_relative_information_score: 64.6326, mean_absolute_error: 0.2359, 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: 0.8572, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3638, root_relative_squared_error: 0.9809, total_cost: 56739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6067, average_cost: 0.7268, f_measure: 0.3589, kappa: 0.0828, kb_relative_information_score: -15783.1237, mean_absolute_error: 0.6508, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8615, predictive_accuracy: 0.3492, prior_entropy: 0.6457, recall: 0.3492, relative_absolute_error: 2.3644, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.8067, root_relative_squared_error: 2.1748, total_cost: 6089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7599, average_cost: 0.9694, f_measure: 0.4653, kappa: 0.1172, kb_relative_information_score: -11730.6744, mean_absolute_error: 0.5185, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8469, predictive_accuracy: 0.4283, prior_entropy: 0.6457, recall: 0.4283, relative_absolute_error: 1.8839, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.6782, root_relative_squared_error: 1.8283, total_cost: 8122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5997, average_cost: 8.1533, f_measure: 0.7638, kappa: 0.0149, kb_relative_information_score: -649.6473, mean_absolute_error: 0.2671, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8036, predictive_accuracy: 0.836, prior_entropy: 0.6457, recall: 0.836, relative_absolute_error: 0.9705, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3665, root_relative_squared_error: 0.9881, total_cost: 68308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7071, average_cost: 4.0985, f_measure: 0.838, kappa: 0.4125, kb_relative_information_score: 2349.1892, mean_absolute_error: 0.1623, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8383, predictive_accuracy: 0.8377, prior_entropy: 0.6457, recall: 0.8377, relative_absolute_error: 0.5898, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4029, root_relative_squared_error: 1.0862, total_cost: 34337,
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: 0.5974, average_cost: 0.7101, f_measure: 0.3323, kappa: 0.0742, kb_relative_information_score: -16465.5226, mean_absolute_error: 0.6691, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8636, predictive_accuracy: 0.3309, prior_entropy: 0.6457, recall: 0.3309, relative_absolute_error: 2.4312, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.818, root_relative_squared_error: 2.2053, total_cost: 5949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8185, average_cost: 6.5728, f_measure: 0.8195, kappa: 0.2616, kb_relative_information_score: 660.5774, mean_absolute_error: 0.2199, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8365, predictive_accuracy: 0.8549, prior_entropy: 0.6457, recall: 0.8549, relative_absolute_error: 0.7991, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3279, root_relative_squared_error: 0.884, total_cost: 55067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7599, average_cost: 0.9694, f_measure: 0.4653, kappa: 0.1172, kb_relative_information_score: -11730.6744, mean_absolute_error: 0.5185, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8469, predictive_accuracy: 0.4283, prior_entropy: 0.6457, recall: 0.4283, relative_absolute_error: 1.8839, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.6782, root_relative_squared_error: 1.8283, total_cost: 8122,
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,
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: 0.8394, 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: 0.8561, 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: 0.8543, 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: 0.5, 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: 0.5958, 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: 0.5935, 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: 0.8449, 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: 0.6053, 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: 0.6119, 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: 0.6014, 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: 0.6108, 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: 0.8276, 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: 0.8115, 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: 0.8549, average_cost: 0.8348, f_measure: 0.6235, kappa: 0.2255, kb_relative_information_score: -11356.7082, mean_absolute_error: 0.4583, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8638, predictive_accuracy: 0.5746, prior_entropy: 0.6457, recall: 0.5746, relative_absolute_error: 1.6651, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.5071, root_relative_squared_error: 1.3671, total_cost: 6994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8583, average_cost: 0.8692, f_measure: 0.6243, kappa: 0.2247, kb_relative_information_score: -11337.4732, mean_absolute_error: 0.4574, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8625, predictive_accuracy: 0.5753, prior_entropy: 0.6457, recall: 0.5753, relative_absolute_error: 1.6618, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.5057, root_relative_squared_error: 1.3633, total_cost: 7282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8596, average_cost: 0.7669, f_measure: 0.5023, kappa: 0.1451, kb_relative_information_score: -13773.391, mean_absolute_error: 0.5133, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8605, predictive_accuracy: 0.4612, prior_entropy: 0.6457, recall: 0.4612, relative_absolute_error: 1.8652, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.564, root_relative_squared_error: 1.5204, total_cost: 6425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8563, average_cost: 0.8402, f_measure: 0.6297, kappa: 0.2306, kb_relative_information_score: -11270.9571, mean_absolute_error: 0.4567, 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: 1.6592, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.5063, root_relative_squared_error: 1.3651, total_cost: 7039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8489, average_cost: 0.7359, f_measure: 0.3119, kappa: 0.0665, kb_relative_information_score: -16330.7955, mean_absolute_error: 0.5831, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8613, predictive_accuracy: 0.3168, prior_entropy: 0.6457, recall: 0.3168, relative_absolute_error: 2.1186, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.6365, root_relative_squared_error: 1.7158, total_cost: 6165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8488, average_cost: 0.7699, f_measure: 0.3399, kappa: 0.0743, kb_relative_information_score: -15959.5633, mean_absolute_error: 0.5723, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8575, predictive_accuracy: 0.3354, prior_entropy: 0.6457, recall: 0.3354, relative_absolute_error: 2.0793, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.6251, root_relative_squared_error: 1.6853, total_cost: 6450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6228, average_cost: 5.1352, f_measure: 0.7659, kappa: 0.1972, kb_relative_information_score: -869.6417, mean_absolute_error: 0.2476, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.7804, predictive_accuracy: 0.7542, prior_entropy: 0.6457, recall: 0.7542, relative_absolute_error: 0.8996, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4826, root_relative_squared_error: 1.301, total_cost: 43023,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8222, average_cost: 0.8054, f_measure: 0.4347, kappa: 0.1099, kb_relative_information_score: -14356.8213, mean_absolute_error: 0.5683, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8561, predictive_accuracy: 0.4051, prior_entropy: 0.6457, recall: 0.4051, relative_absolute_error: 2.0648, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.6734, root_relative_squared_error: 1.8155, total_cost: 6748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7609, average_cost: 1.3466, f_measure: 0.611, kappa: 0.1932, kb_relative_information_score: -8345.135, mean_absolute_error: 0.4393, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8419, predictive_accuracy: 0.5599, prior_entropy: 0.6457, recall: 0.5599, relative_absolute_error: 1.5963, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.6304, root_relative_squared_error: 1.6996, total_cost: 11282,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6326, average_cost: 5.0728, f_measure: 0.7736, kappa: 0.2161, kb_relative_information_score: -492.9369, mean_absolute_error: 0.2366, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.7853, predictive_accuracy: 0.764, prior_entropy: 0.6457, recall: 0.764, relative_absolute_error: 0.8595, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4733, root_relative_squared_error: 1.2759, total_cost: 42500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8425, average_cost: 5.4835, f_measure: 0.8384, kappa: 0.3624, kb_relative_information_score: 2269.7799, mean_absolute_error: 0.1692, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8367, predictive_accuracy: 0.8563, prior_entropy: 0.6457, recall: 0.8563, relative_absolute_error: 0.6149, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3313, root_relative_squared_error: 0.8931, total_cost: 45941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8421, average_cost: 0.763, f_measure: 0.4212, kappa: 0.1057, kb_relative_information_score: -14593.14, mean_absolute_error: 0.5665, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8588, predictive_accuracy: 0.395, prior_entropy: 0.6457, recall: 0.395, relative_absolute_error: 2.0583, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.661, root_relative_squared_error: 1.782, total_cost: 6392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5542, average_cost: 0.7606, f_measure: 0.2172, kappa: 0.0387, kb_relative_information_score: -19211.3627, mean_absolute_error: 0.7431, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8619, predictive_accuracy: 0.257, prior_entropy: 0.6457, recall: 0.257, relative_absolute_error: 2.6999, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.862, root_relative_squared_error: 2.3239, total_cost: 6372,
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: 0.8681, average_cost: 4.5973, f_measure: 0.8558, kappa: 0.4463, kb_relative_information_score: 3016.9102, mean_absolute_error: 0.1472, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8525, predictive_accuracy: 0.8652, prior_entropy: 0.6457, recall: 0.8652, relative_absolute_error: 0.5347, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3283, root_relative_squared_error: 0.885, total_cost: 38516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6088, average_cost: 0.7125, f_measure: 0.3624, kappa: 0.0846, kb_relative_information_score: -15685.6382, mean_absolute_error: 0.6481, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8627, predictive_accuracy: 0.3519, prior_entropy: 0.6457, recall: 0.3519, relative_absolute_error: 2.3549, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.8051, root_relative_squared_error: 2.1704, total_cost: 5969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6087, average_cost: 0.7127, f_measure: 0.362, kappa: 0.0845, kb_relative_information_score: -15694.5005, mean_absolute_error: 0.6484, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8627, predictive_accuracy: 0.3516, prior_entropy: 0.6457, recall: 0.3516, relative_absolute_error: 2.3558, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.8052, root_relative_squared_error: 2.1708, total_cost: 5971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6088, average_cost: 0.7126, f_measure: 0.3622, kappa: 0.0845, kb_relative_information_score: -15690.0693, mean_absolute_error: 0.6482, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8627, predictive_accuracy: 0.3518, prior_entropy: 0.6457, recall: 0.3518, relative_absolute_error: 2.3553, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.8051, root_relative_squared_error: 2.1706, total_cost: 5970,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6086, average_cost: 0.7128, f_measure: 0.3619, kappa: 0.0844, kb_relative_information_score: -15698.9317, mean_absolute_error: 0.6485, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8627, predictive_accuracy: 0.3515, prior_entropy: 0.6457, recall: 0.3515, relative_absolute_error: 2.3562, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.8053, root_relative_squared_error: 2.171, total_cost: 5972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6088, average_cost: 0.7126, f_measure: 0.3622, kappa: 0.0845, kb_relative_information_score: -15690.0693, mean_absolute_error: 0.6482, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8627, predictive_accuracy: 0.3518, prior_entropy: 0.6457, recall: 0.3518, relative_absolute_error: 2.3553, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.8051, root_relative_squared_error: 2.1706, total_cost: 5970,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6088, average_cost: 0.7126, f_measure: 0.3622, kappa: 0.0845, kb_relative_information_score: -15690.0693, mean_absolute_error: 0.6482, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8627, predictive_accuracy: 0.3518, prior_entropy: 0.6457, recall: 0.3518, relative_absolute_error: 2.3553, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.8051, root_relative_squared_error: 2.1706, total_cost: 5970,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6085, average_cost: 0.7129, f_measure: 0.3617, kappa: 0.0843, kb_relative_information_score: -15703.3628, mean_absolute_error: 0.6486, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8627, predictive_accuracy: 0.3514, prior_entropy: 0.6457, recall: 0.3514, relative_absolute_error: 2.3566, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.8054, root_relative_squared_error: 2.1712, total_cost: 5973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6089, average_cost: 0.7123, f_measure: 0.3625, kappa: 0.0847, kb_relative_information_score: -15681.207, mean_absolute_error: 0.648, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8627, predictive_accuracy: 0.352, prior_entropy: 0.6457, recall: 0.352, relative_absolute_error: 2.3545, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.805, root_relative_squared_error: 2.1702, total_cost: 5968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6085, average_cost: 0.7183, f_measure: 0.3625, kappa: 0.0844, kb_relative_information_score: -15685.6382, mean_absolute_error: 0.6481, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8622, predictive_accuracy: 0.3519, prior_entropy: 0.6457, recall: 0.3519, relative_absolute_error: 2.3549, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.8051, root_relative_squared_error: 2.1704, total_cost: 6018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6086, average_cost: 0.7182, f_measure: 0.3626, kappa: 0.0845, kb_relative_information_score: -15681.207, mean_absolute_error: 0.648, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8622, predictive_accuracy: 0.352, prior_entropy: 0.6457, recall: 0.352, relative_absolute_error: 2.3545, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.805, root_relative_squared_error: 2.1702, total_cost: 6017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6088, average_cost: 0.718, f_measure: 0.363, kappa: 0.0846, kb_relative_information_score: -15672.3447, mean_absolute_error: 0.6478, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8622, predictive_accuracy: 0.3522, prior_entropy: 0.6457, recall: 0.3522, relative_absolute_error: 2.3536, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.8048, root_relative_squared_error: 2.1698, total_cost: 6015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.609, average_cost: 0.7121, f_measure: 0.3629, kappa: 0.0848, kb_relative_information_score: -15672.3447, mean_absolute_error: 0.6478, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8628, predictive_accuracy: 0.3522, prior_entropy: 0.6457, recall: 0.3522, relative_absolute_error: 2.3536, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.8048, root_relative_squared_error: 2.1698, total_cost: 5966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6087, average_cost: 0.7181, f_measure: 0.3628, kappa: 0.0845, kb_relative_information_score: -15676.7759, mean_absolute_error: 0.6479, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8622, predictive_accuracy: 0.3521, prior_entropy: 0.6457, recall: 0.3521, relative_absolute_error: 2.354, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.8049, root_relative_squared_error: 2.17, total_cost: 6016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6085, average_cost: 0.7183, f_measure: 0.3625, kappa: 0.0844, kb_relative_information_score: -15685.6382, mean_absolute_error: 0.6481, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8622, predictive_accuracy: 0.3519, prior_entropy: 0.6457, recall: 0.3519, relative_absolute_error: 2.3549, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.8051, root_relative_squared_error: 2.1704, total_cost: 6018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6086, average_cost: 0.7182, f_measure: 0.3626, kappa: 0.0845, kb_relative_information_score: -15681.207, mean_absolute_error: 0.648, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8622, predictive_accuracy: 0.352, prior_entropy: 0.6457, recall: 0.352, relative_absolute_error: 2.3545, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.805, root_relative_squared_error: 2.1702, total_cost: 6017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7405, average_cost: 6.023, f_measure: 0.8206, kappa: 0.2864, kb_relative_information_score: 745.1598, mean_absolute_error: 0.2236, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8166, predictive_accuracy: 0.8432, prior_entropy: 0.6457, recall: 0.8432, relative_absolute_error: 0.8125, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3496, root_relative_squared_error: 0.9425, total_cost: 50461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6084, average_cost: 0.7185, f_measure: 0.3621, kappa: 0.0843, kb_relative_information_score: -15694.5005, mean_absolute_error: 0.6484, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8622, predictive_accuracy: 0.3516, prior_entropy: 0.6457, recall: 0.3516, relative_absolute_error: 2.3558, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.8052, root_relative_squared_error: 2.1708, total_cost: 6020,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7471, average_cost: 0.8176, f_measure: 0.0819, kappa: 0.0071, kb_relative_information_score: -20275.542, mean_absolute_error: 0.7291, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8629, predictive_accuracy: 0.1824, prior_entropy: 0.6457, recall: 0.1824, relative_absolute_error: 2.649, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.8002, root_relative_squared_error: 2.1573, total_cost: 6850,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6545, average_cost: 0.8353, f_measure: 0.0466, kb_relative_information_score: -22082.1523, mean_absolute_error: 0.8081, 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: 2.9362, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.8843, root_relative_squared_error: 2.3841, total_cost: 6998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7293, average_cost: 0.8346, f_measure: 0.0601, kappa: 0.0024, kb_relative_information_score: -20976.1863, mean_absolute_error: 0.7583, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8479, predictive_accuracy: 0.1713, prior_entropy: 0.6457, recall: 0.1713, relative_absolute_error: 2.7553, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.8318, root_relative_squared_error: 2.2425, total_cost: 6992,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6806, average_cost: 0.835, f_measure: 0.0471, kappa: 0.0001, kb_relative_information_score: -21963.4011, mean_absolute_error: 0.8025, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8624, predictive_accuracy: 0.165, prior_entropy: 0.6457, recall: 0.165, relative_absolute_error: 2.9157, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.8785, root_relative_squared_error: 2.3683, total_cost: 6996,
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: -11332.4484, 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: 0.5926, average_cost: 0.8353, f_measure: 0.0466, kb_relative_information_score: -22472.1244, mean_absolute_error: 0.8272, 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: 3.0054, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.9051, root_relative_squared_error: 2.4402, total_cost: 6998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7678, average_cost: 2.5843, f_measure: 0.8001, kappa: 0.3832, kb_relative_information_score: -1733.0495, mean_absolute_error: 0.297, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8448, predictive_accuracy: 0.7786, prior_entropy: 0.6457, recall: 0.7786, relative_absolute_error: 1.0789, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3933, root_relative_squared_error: 1.0603, total_cost: 21651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7871, average_cost: 0.8496, f_measure: 0.3275, kappa: 0.0668, kb_relative_information_score: -16623.452, mean_absolute_error: 0.6025, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8494, predictive_accuracy: 0.3259, prior_entropy: 0.6457, recall: 0.3259, relative_absolute_error: 2.189, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.6684, root_relative_squared_error: 1.802, total_cost: 7118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7922, average_cost: 0.9298, f_measure: 0.5566, kappa: 0.1711, kb_relative_information_score: -12153.2165, mean_absolute_error: 0.5059, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8548, predictive_accuracy: 0.5088, prior_entropy: 0.6457, recall: 0.5088, relative_absolute_error: 1.8381, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.6121, root_relative_squared_error: 1.6502, total_cost: 7790,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6083, average_cost: 0.7187, f_measure: 0.362, kappa: 0.0842, kb_relative_information_score: -15698.9317, mean_absolute_error: 0.6485, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8622, predictive_accuracy: 0.3515, prior_entropy: 0.6457, recall: 0.3515, relative_absolute_error: 2.3562, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.8053, root_relative_squared_error: 2.171, total_cost: 6021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8021, average_cost: 6.4686, f_measure: 0.8165, kappa: 0.2555, kb_relative_information_score: 482.3177, mean_absolute_error: 0.2198, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8209, predictive_accuracy: 0.8479, prior_entropy: 0.6457, recall: 0.8479, relative_absolute_error: 0.7986, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.334, root_relative_squared_error: 0.9004, total_cost: 54194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6227, average_cost: 0.7269, f_measure: 0.3989, kappa: 0.098, kb_relative_information_score: -14701.9203, mean_absolute_error: 0.6216, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8613, predictive_accuracy: 0.3784, prior_entropy: 0.6457, recall: 0.3784, relative_absolute_error: 2.2586, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.7884, root_relative_squared_error: 2.1256, total_cost: 6090,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6227, average_cost: 0.7269, f_measure: 0.3989, kappa: 0.098, kb_relative_information_score: -14701.9203, mean_absolute_error: 0.6216, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8613, predictive_accuracy: 0.3784, prior_entropy: 0.6457, recall: 0.3784, relative_absolute_error: 2.2586, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.7884, root_relative_squared_error: 2.1256, total_cost: 6090,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.681, average_cost: 0.831, f_measure: 0.1021, kappa: 0.0104, kb_relative_information_score: -19475.0467, mean_absolute_error: 0.6968, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8492, predictive_accuracy: 0.1924, prior_entropy: 0.6457, recall: 0.1924, relative_absolute_error: 2.5317, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.7614, root_relative_squared_error: 2.0527, total_cost: 6962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6232, average_cost: 0.7098, f_measure: 0.398, kappa: 0.0983, kb_relative_information_score: -14719.645, mean_absolute_error: 0.6221, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8626, predictive_accuracy: 0.3779, prior_entropy: 0.6457, recall: 0.3779, relative_absolute_error: 2.2604, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.7887, root_relative_squared_error: 2.1264, total_cost: 5947,
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: -11332.4484, 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: 0.6232, average_cost: 0.7098, f_measure: 0.398, kappa: 0.0983, kb_relative_information_score: -14719.645, mean_absolute_error: 0.6221, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8626, predictive_accuracy: 0.3779, prior_entropy: 0.6457, recall: 0.3779, relative_absolute_error: 2.2604, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.7887, root_relative_squared_error: 2.1264, total_cost: 5947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8061, average_cost: 0.9622, f_measure: 0.5659, kappa: 0.176, kb_relative_information_score: -12376.7345, mean_absolute_error: 0.4913, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.854, predictive_accuracy: 0.5174, prior_entropy: 0.6457, recall: 0.5174, relative_absolute_error: 1.7852, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.5568, root_relative_squared_error: 1.5012, total_cost: 8061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6233, average_cost: 0.7043, f_measure: 0.3974, kappa: 0.0983, kb_relative_information_score: -14732.9385, mean_absolute_error: 0.6225, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8631, predictive_accuracy: 0.3775, prior_entropy: 0.6457, recall: 0.3775, relative_absolute_error: 2.2617, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.789, root_relative_squared_error: 2.127, total_cost: 5901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5637, average_cost: 0.7557, f_measure: 0.2447, kappa: 0.046, kb_relative_information_score: -18592.4801, mean_absolute_error: 0.7264, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8611, predictive_accuracy: 0.2736, prior_entropy: 0.6457, recall: 0.2736, relative_absolute_error: 2.6394, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.8523, root_relative_squared_error: 2.2978, total_cost: 6331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6227, average_cost: 0.7215, f_measure: 0.3981, kappa: 0.0979, kb_relative_information_score: -14719.645, mean_absolute_error: 0.6221, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8617, predictive_accuracy: 0.3779, prior_entropy: 0.6457, recall: 0.3779, relative_absolute_error: 2.2604, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.7887, root_relative_squared_error: 2.1264, total_cost: 6045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8205, average_cost: 1.4999, f_measure: 0.7022, kappa: 0.2768, kb_relative_information_score: -8615.5935, mean_absolute_error: 0.4054, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8494, predictive_accuracy: 0.6582, prior_entropy: 0.6457, recall: 0.6582, relative_absolute_error: 1.4731, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4698, root_relative_squared_error: 1.2666, total_cost: 12566,

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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