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: 0.7599, 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: 0.8185, 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: 0.5974, 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: 0.6535, 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: 0.7071, 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: 0.5997, 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: 0.7599, 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: 0.6067, 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: 0.6947, 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: 0.6249, 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: 0.7337, 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: 0.6028, 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: 0.6269, 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: 0.7392, 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: 0.6199, 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: 0.6529, 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: 0.8316, 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: 0.7171, 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: 0.6093, 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: 0.5889, 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: 0.8565, average_cost: 0.837, f_measure: 0.6271, kappa: 0.2285, kb_relative_information_score: -12080.6018, mean_absolute_error: 0.4677, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.864, predictive_accuracy: 0.5783, prior_entropy: 0.6457, recall: 0.5783, relative_absolute_error: 1.6994, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.5032, root_relative_squared_error: 1.3566, total_cost: 7012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6225, average_cost: 0.7968, f_measure: 0.4079, kappa: 0.0987, kb_relative_information_score: -14475.9311, mean_absolute_error: 0.6155, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.856, predictive_accuracy: 0.3845, prior_entropy: 0.6457, recall: 0.3845, relative_absolute_error: 2.2365, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.7846, root_relative_squared_error: 2.1152, total_cost: 6676,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6457, average_cost: 0.7634, f_measure: 0.4575, kappa: 0.1222, kb_relative_information_score: -13018.079, mean_absolute_error: 0.5763, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8595, predictive_accuracy: 0.4237, prior_entropy: 0.6457, recall: 0.4237, relative_absolute_error: 2.0938, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.7591, root_relative_squared_error: 2.0466, total_cost: 6396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8381, average_cost: 2.009, f_measure: 0.7802, kappa: 0.3687, kb_relative_information_score: -4455.8552, mean_absolute_error: 0.3221, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8519, predictive_accuracy: 0.7515, prior_entropy: 0.6457, recall: 0.7515, relative_absolute_error: 1.1702, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4092, root_relative_squared_error: 1.1031, total_cost: 16831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5943, average_cost: 0.7313, f_measure: 0.3272, kappa: 0.0716, kb_relative_information_score: -16602.8886, mean_absolute_error: 0.6728, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8615, predictive_accuracy: 0.3272, prior_entropy: 0.6457, recall: 0.3272, relative_absolute_error: 2.4447, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.8203, root_relative_squared_error: 2.2114, total_cost: 6127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8501, average_cost: 0.7583, f_measure: 0.3645, kappa: 0.0835, kb_relative_information_score: -15732.4957, mean_absolute_error: 0.5894, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8586, predictive_accuracy: 0.3528, prior_entropy: 0.6457, recall: 0.3528, relative_absolute_error: 2.1415, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.6717, root_relative_squared_error: 1.8109, total_cost: 6353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5937, average_cost: 0.7378, f_measure: 0.3265, kappa: 0.0711, kb_relative_information_score: -16625.0444, mean_absolute_error: 0.6734, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8608, predictive_accuracy: 0.3266, prior_entropy: 0.6457, recall: 0.3266, relative_absolute_error: 2.4468, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.8206, root_relative_squared_error: 2.2124, total_cost: 6181,
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: 0.5943, average_cost: 0.7313, f_measure: 0.3272, kappa: 0.0716, kb_relative_information_score: -16602.8886, mean_absolute_error: 0.6728, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8615, predictive_accuracy: 0.3272, prior_entropy: 0.6457, recall: 0.3272, relative_absolute_error: 2.4447, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.8203, root_relative_squared_error: 2.2114, total_cost: 6127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7572, average_cost: 5.2264, f_measure: 0.8233, kappa: 0.3277, kb_relative_information_score: -1160.6189, mean_absolute_error: 0.2571, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8173, predictive_accuracy: 0.8327, prior_entropy: 0.6457, recall: 0.8327, relative_absolute_error: 0.9341, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3542, root_relative_squared_error: 0.9549, total_cost: 43787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8569, average_cost: 1.0271, f_measure: 0.6693, kappa: 0.2602, kb_relative_information_score: -10043.675, mean_absolute_error: 0.4317, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8608, predictive_accuracy: 0.6221, prior_entropy: 0.6457, recall: 0.6221, relative_absolute_error: 1.5684, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4824, root_relative_squared_error: 1.3006, total_cost: 8605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6226, average_cost: 0.7593, f_measure: 0.403, kappa: 0.0983, kb_relative_information_score: -14600.0036, mean_absolute_error: 0.6189, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8588, predictive_accuracy: 0.3811, prior_entropy: 0.6457, recall: 0.3811, relative_absolute_error: 2.2486, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.7867, root_relative_squared_error: 2.1209, total_cost: 6361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6441, average_cost: 0.7608, f_measure: 0.4535, kappa: 0.1204, kb_relative_information_score: -13137.7203, mean_absolute_error: 0.5795, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8595, predictive_accuracy: 0.4205, prior_entropy: 0.6457, recall: 0.4205, relative_absolute_error: 2.1055, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.7612, root_relative_squared_error: 2.0523, total_cost: 6374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, average_cost: 0.8353, f_measure: 0.0466, kb_relative_information_score: -21421.0626, mean_absolute_error: 0.7735, 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: 2.8106, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.8306, root_relative_squared_error: 2.2393, total_cost: 6998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5326, average_cost: 0.8353, f_measure: 0.0466, kb_relative_information_score: -21236.5023, mean_absolute_error: 0.7661, 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: 2.7835, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.8241, root_relative_squared_error: 2.2216, total_cost: 6998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, average_cost: 0.8353, f_measure: 0.0466, kb_relative_information_score: -21421.0626, mean_absolute_error: 0.7735, 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: 2.8106, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.8306, root_relative_squared_error: 2.2393, total_cost: 6998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, average_cost: 0.8353, f_measure: 0.0466, kb_relative_information_score: -21421.0626, mean_absolute_error: 0.7735, 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: 2.8106, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.8306, root_relative_squared_error: 2.2393, total_cost: 6998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6269, average_cost: 0.7199, f_measure: 0.4081, kappa: 0.102, kb_relative_information_score: -14440.4818, mean_absolute_error: 0.6146, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8619, predictive_accuracy: 0.3854, prior_entropy: 0.6457, recall: 0.3854, relative_absolute_error: 2.233, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.784, root_relative_squared_error: 2.1135, total_cost: 6031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7139, average_cost: 2.181, f_measure: 0.6046, kappa: 0.1504, kb_relative_information_score: -7958.7286, mean_absolute_error: 0.4282, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8098, predictive_accuracy: 0.5503, prior_entropy: 0.6457, recall: 0.5503, relative_absolute_error: 1.5558, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.6194, root_relative_squared_error: 1.67, total_cost: 18272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.704, average_cost: 0.752, f_measure: 0.5766, kappa: 0.1924, kb_relative_information_score: -9118.6568, mean_absolute_error: 0.4712, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8645, predictive_accuracy: 0.5288, prior_entropy: 0.6457, recall: 0.5288, relative_absolute_error: 1.7122, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.6865, root_relative_squared_error: 1.8507, total_cost: 6300,
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: 0.8418, average_cost: 0.7807, f_measure: 0.4058, kappa: 0.0985, kb_relative_information_score: -14849.2954, mean_absolute_error: 0.5732, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8572, predictive_accuracy: 0.383, prior_entropy: 0.6457, recall: 0.383, relative_absolute_error: 2.0827, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.667, root_relative_squared_error: 1.7983, total_cost: 6541,
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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: 0.6234, average_cost: 0.7042, f_measure: 0.3976, kappa: 0.0984, kb_relative_information_score: -14728.5073, mean_absolute_error: 0.6223, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8631, predictive_accuracy: 0.3777, prior_entropy: 0.6457, recall: 0.3777, relative_absolute_error: 2.2612, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.7889, root_relative_squared_error: 2.1268, total_cost: 5900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6235, average_cost: 0.7041, f_measure: 0.3977, kappa: 0.0985, kb_relative_information_score: -14724.0761, mean_absolute_error: 0.6222, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8631, predictive_accuracy: 0.3778, prior_entropy: 0.6457, recall: 0.3778, relative_absolute_error: 2.2608, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.7888, root_relative_squared_error: 2.1266, total_cost: 5899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5138, average_cost: 7.9768, f_measure: 0.7707, kappa: 0.0445, kb_relative_information_score: 2322.6022, mean_absolute_error: 0.163, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.7988, predictive_accuracy: 0.837, prior_entropy: 0.6457, recall: 0.837, relative_absolute_error: 0.5924, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4038, root_relative_squared_error: 1.0886, total_cost: 66830,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6235, average_cost: 0.7041, f_measure: 0.3977, kappa: 0.0985, kb_relative_information_score: -14724.0761, mean_absolute_error: 0.6222, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8631, predictive_accuracy: 0.3778, prior_entropy: 0.6457, recall: 0.3778, relative_absolute_error: 2.2608, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.7888, root_relative_squared_error: 2.1266, total_cost: 5899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6235, average_cost: 0.7041, f_measure: 0.3977, kappa: 0.0985, kb_relative_information_score: -14724.0761, mean_absolute_error: 0.6222, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8631, predictive_accuracy: 0.3778, prior_entropy: 0.6457, recall: 0.3778, relative_absolute_error: 2.2608, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.7888, root_relative_squared_error: 2.1266, total_cost: 5899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8595, average_cost: 0.7752, f_measure: 0.4994, kappa: 0.1432, kb_relative_information_score: -13861.7195, mean_absolute_error: 0.5161, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.86, predictive_accuracy: 0.4587, prior_entropy: 0.6457, recall: 0.4587, relative_absolute_error: 1.8751, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.5678, root_relative_squared_error: 1.5306, total_cost: 6495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6234, average_cost: 0.7042, f_measure: 0.3976, kappa: 0.0984, kb_relative_information_score: -14728.5073, mean_absolute_error: 0.6223, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8631, predictive_accuracy: 0.3777, prior_entropy: 0.6457, recall: 0.3777, relative_absolute_error: 2.2612, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.7889, root_relative_squared_error: 2.1268, total_cost: 5900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8583, average_cost: 4.8661, f_measure: 0.8532, kappa: 0.4297, kb_relative_information_score: -450.4052, mean_absolute_error: 0.2456, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8508, predictive_accuracy: 0.8655, prior_entropy: 0.6457, recall: 0.8655, relative_absolute_error: 0.8925, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.322, root_relative_squared_error: 0.868, total_cost: 40768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7369, average_cost: 3.6894, f_measure: 0.8549, kappa: 0.4732, kb_relative_information_score: 2987.2764, mean_absolute_error: 0.1451, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.855, predictive_accuracy: 0.8549, prior_entropy: 0.6457, recall: 0.8549, relative_absolute_error: 0.5274, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.381, root_relative_squared_error: 1.0271, total_cost: 30910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6234, average_cost: 0.7042, f_measure: 0.3976, kappa: 0.0984, kb_relative_information_score: -14728.5073, mean_absolute_error: 0.6223, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8631, predictive_accuracy: 0.3777, prior_entropy: 0.6457, recall: 0.3777, relative_absolute_error: 2.2612, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.7889, root_relative_squared_error: 2.1268, total_cost: 5900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7047, average_cost: 4.1615, f_measure: 0.8385, kappa: 0.4116, kb_relative_information_score: 2397.932, mean_absolute_error: 0.161, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8381, predictive_accuracy: 0.839, prior_entropy: 0.6457, recall: 0.839, relative_absolute_error: 0.585, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4013, root_relative_squared_error: 1.0818, total_cost: 34865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6228, average_cost: 0.7052, f_measure: 0.3963, kappa: 0.0978, kb_relative_information_score: -14763.9566, mean_absolute_error: 0.6233, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.863, predictive_accuracy: 0.3767, prior_entropy: 0.6457, recall: 0.3767, relative_absolute_error: 2.2647, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.7895, root_relative_squared_error: 2.1284, total_cost: 5908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7036, average_cost: 4.0936, f_measure: 0.8326, kappa: 0.3985, kb_relative_information_score: 2096.613, mean_absolute_error: 0.1691, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8346, predictive_accuracy: 0.8309, prior_entropy: 0.6457, recall: 0.8309, relative_absolute_error: 0.6145, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4113, root_relative_squared_error: 1.1087, total_cost: 34296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.623, average_cost: 0.7049, f_measure: 0.3966, kappa: 0.098, kb_relative_information_score: -14755.0943, mean_absolute_error: 0.6231, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.863, 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: 5906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6227, average_cost: 0.7054, f_measure: 0.396, kappa: 0.0977, kb_relative_information_score: -14772.8189, mean_absolute_error: 0.6235, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.863, predictive_accuracy: 0.3765, prior_entropy: 0.6457, recall: 0.3765, relative_absolute_error: 2.2656, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.7896, root_relative_squared_error: 2.1289, total_cost: 5910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6227, average_cost: 0.7054, f_measure: 0.396, kappa: 0.0977, kb_relative_information_score: -14772.8189, mean_absolute_error: 0.6235, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.863, predictive_accuracy: 0.3765, prior_entropy: 0.6457, recall: 0.3765, relative_absolute_error: 2.2656, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.7896, root_relative_squared_error: 2.1289, total_cost: 5910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6228, average_cost: 0.7106, f_measure: 0.397, kappa: 0.0979, kb_relative_information_score: -14746.2319, mean_absolute_error: 0.6228, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8626, predictive_accuracy: 0.3772, prior_entropy: 0.6457, recall: 0.3772, relative_absolute_error: 2.263, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.7892, root_relative_squared_error: 2.1276, total_cost: 5953,
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,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

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

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

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