OpenML
Supervised Classification on SpeedDating

Supervised Classification on SpeedDating

Task 125969 Supervised Classification SpeedDating 1071 runs submitted
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1071 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7868, average_cost: 0.2638, f_measure: 0.8303, kappa: 0.3264, kb_relative_information_score: 979.6495, mean_absolute_error: 0.2174, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8283, predictive_accuracy: 0.8509, prior_entropy: 0.6457, recall: 0.8509, relative_absolute_error: 0.79, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3343, root_relative_squared_error: 0.9013, total_cost: 2210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7891, average_cost: 0.265, f_measure: 0.8295, kappa: 0.3178, kb_relative_information_score: 820.5518, mean_absolute_error: 0.2194, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8304, predictive_accuracy: 0.8531, prior_entropy: 0.6457, recall: 0.8531, relative_absolute_error: 0.7971, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3337, root_relative_squared_error: 0.8996, total_cost: 2220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.782, average_cost: 0.2725, f_measure: 0.8236, kappa: 0.2883, kb_relative_information_score: 717.0856, mean_absolute_error: 0.2211, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8268, predictive_accuracy: 0.8512, prior_entropy: 0.6457, recall: 0.8512, relative_absolute_error: 0.8034, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3356, root_relative_squared_error: 0.9049, total_cost: 2283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.803, average_cost: 0.2707, f_measure: 0.8245, kappa: 0.3165, kb_relative_information_score: 585.9501, mean_absolute_error: 0.2135, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8182, predictive_accuracy: 0.8398, prior_entropy: 0.6457, recall: 0.8398, relative_absolute_error: 0.7758, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3366, root_relative_squared_error: 0.9076, total_cost: 2268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7876, average_cost: 0.2675, f_measure: 0.8275, kappa: 0.3134, kb_relative_information_score: 720.1808, mean_absolute_error: 0.2212, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8257, predictive_accuracy: 0.8495, prior_entropy: 0.6457, recall: 0.8495, relative_absolute_error: 0.8036, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3352, root_relative_squared_error: 0.9036, total_cost: 2241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8048, average_cost: 0.2708, f_measure: 0.8244, kappa: 0.3162, kb_relative_information_score: 1024.0341, mean_absolute_error: 0.2129, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8181, predictive_accuracy: 0.8397, prior_entropy: 0.6457, recall: 0.8397, relative_absolute_error: 0.7734, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3337, root_relative_squared_error: 0.8996, total_cost: 2269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.786, average_cost: 0.2775, f_measure: 0.8198, kappa: 0.2795, kb_relative_information_score: 895.8823, mean_absolute_error: 0.2115, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8173, predictive_accuracy: 0.8445, prior_entropy: 0.6457, recall: 0.8445, relative_absolute_error: 0.7683, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3439, root_relative_squared_error: 0.9272, total_cost: 2325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8013, average_cost: 0.269, f_measure: 0.8257, kappa: 0.3209, kb_relative_information_score: 1036.9803, mean_absolute_error: 0.2134, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8197, predictive_accuracy: 0.8411, prior_entropy: 0.6457, recall: 0.8411, relative_absolute_error: 0.7753, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3342, root_relative_squared_error: 0.901, total_cost: 2254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8048, average_cost: 0.2708, f_measure: 0.8244, kappa: 0.3162, kb_relative_information_score: 1024.0341, mean_absolute_error: 0.2129, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8181, predictive_accuracy: 0.8397, prior_entropy: 0.6457, recall: 0.8397, relative_absolute_error: 0.7734, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3337, root_relative_squared_error: 0.8996, total_cost: 2269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7891, average_cost: 0.265, f_measure: 0.8295, kappa: 0.3178, kb_relative_information_score: 820.5518, mean_absolute_error: 0.2194, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8304, predictive_accuracy: 0.8531, prior_entropy: 0.6457, recall: 0.8531, relative_absolute_error: 0.7971, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3337, root_relative_squared_error: 0.8996, total_cost: 2220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.78, average_cost: 0.2698, f_measure: 0.8258, kappa: 0.3053, kb_relative_information_score: 551.9708, mean_absolute_error: 0.2249, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8241, predictive_accuracy: 0.8487, prior_entropy: 0.6457, recall: 0.8487, relative_absolute_error: 0.8173, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3368, root_relative_squared_error: 0.908, total_cost: 2260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7891, average_cost: 0.265, f_measure: 0.8295, kappa: 0.3178, kb_relative_information_score: 820.5518, mean_absolute_error: 0.2194, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8304, predictive_accuracy: 0.8531, prior_entropy: 0.6457, recall: 0.8531, relative_absolute_error: 0.7971, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3337, root_relative_squared_error: 0.8996, total_cost: 2220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7891, average_cost: 0.265, f_measure: 0.8295, kappa: 0.3178, kb_relative_information_score: 820.5518, mean_absolute_error: 0.2194, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8304, predictive_accuracy: 0.8531, prior_entropy: 0.6457, recall: 0.8531, relative_absolute_error: 0.7971, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3337, root_relative_squared_error: 0.8996, total_cost: 2220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7891, average_cost: 0.265, f_measure: 0.8295, kappa: 0.3178, kb_relative_information_score: 820.5518, mean_absolute_error: 0.2194, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8304, predictive_accuracy: 0.8531, prior_entropy: 0.6457, recall: 0.8531, relative_absolute_error: 0.7971, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3337, root_relative_squared_error: 0.8996, total_cost: 2220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7862, average_cost: 0.2742, f_measure: 0.8221, kappa: 0.2798, kb_relative_information_score: 598.0558, mean_absolute_error: 0.223, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8274, predictive_accuracy: 0.8515, prior_entropy: 0.6457, recall: 0.8515, relative_absolute_error: 0.8103, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.335, root_relative_squared_error: 0.9032, total_cost: 2297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7969, average_cost: 0.2606, f_measure: 0.8327, kappa: 0.337, kb_relative_information_score: 932.8996, mean_absolute_error: 0.2175, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8307, predictive_accuracy: 0.8525, prior_entropy: 0.6457, recall: 0.8525, relative_absolute_error: 0.7901, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3321, root_relative_squared_error: 0.8953, total_cost: 2183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7977, average_cost: 0.2622, f_measure: 0.8315, kappa: 0.331, kb_relative_information_score: 1025.4751, mean_absolute_error: 0.2147, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8298, predictive_accuracy: 0.852, prior_entropy: 0.6457, recall: 0.852, relative_absolute_error: 0.7801, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.332, root_relative_squared_error: 0.8951, total_cost: 2197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7977, average_cost: 0.2622, f_measure: 0.8315, kappa: 0.331, kb_relative_information_score: 1025.4751, mean_absolute_error: 0.2147, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8298, predictive_accuracy: 0.852, prior_entropy: 0.6457, recall: 0.852, relative_absolute_error: 0.7801, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.332, root_relative_squared_error: 0.8951, total_cost: 2197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7977, average_cost: 0.2622, f_measure: 0.8315, kappa: 0.331, kb_relative_information_score: 1025.4751, mean_absolute_error: 0.2147, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8298, predictive_accuracy: 0.852, prior_entropy: 0.6457, recall: 0.852, relative_absolute_error: 0.7801, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.332, root_relative_squared_error: 0.8951, total_cost: 2197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7952, average_cost: 0.269, f_measure: 0.8263, kappa: 0.3008, kb_relative_information_score: 851.2096, mean_absolute_error: 0.2168, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8294, predictive_accuracy: 0.8527, prior_entropy: 0.6457, recall: 0.8527, relative_absolute_error: 0.7877, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3332, root_relative_squared_error: 0.8982, total_cost: 2254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6381, average_cost: 0.31, f_measure: 0.7942, kappa: 0.2416, kb_relative_information_score: 489.7238, mean_absolute_error: 0.2109, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.7914, predictive_accuracy: 0.7972, prior_entropy: 0.6457, recall: 0.7972, relative_absolute_error: 0.7664, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4373, root_relative_squared_error: 1.1789, total_cost: 2597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7952, average_cost: 0.269, f_measure: 0.8263, kappa: 0.3008, kb_relative_information_score: 851.2096, mean_absolute_error: 0.2168, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8294, predictive_accuracy: 0.8527, prior_entropy: 0.6457, recall: 0.8527, relative_absolute_error: 0.7877, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3332, root_relative_squared_error: 0.8982, total_cost: 2254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6379, average_cost: 0.3154, f_measure: 0.7907, kappa: 0.2265, kb_relative_information_score: 331.4015, mean_absolute_error: 0.2143, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.7873, predictive_accuracy: 0.7945, prior_entropy: 0.6457, recall: 0.7945, relative_absolute_error: 0.7786, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4384, root_relative_squared_error: 1.182, total_cost: 2642,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7405, average_cost: 0.2766, 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: 2317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7405, average_cost: 0.2766, 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: 2317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8119, average_cost: 0.2593, f_measure: 0.8289, kappa: 0.367, kb_relative_information_score: 2013.6966, mean_absolute_error: 0.1703, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8261, predictive_accuracy: 0.8321, prior_entropy: 0.6457, recall: 0.8321, relative_absolute_error: 0.6187, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.387, root_relative_squared_error: 1.0432, total_cost: 2172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8345, average_cost: 0.2758, f_measure: 0.7929, kappa: 0.3757, kb_relative_information_score: -413.9879, mean_absolute_error: 0.2323, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.846, predictive_accuracy: 0.7688, prior_entropy: 0.6457, recall: 0.7688, relative_absolute_error: 0.8439, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4474, root_relative_squared_error: 1.2062, total_cost: 2311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8329, average_cost: 0.2799, f_measure: 0.7885, kappa: 0.3707, kb_relative_information_score: -637.3579, mean_absolute_error: 0.2384, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8465, predictive_accuracy: 0.763, prior_entropy: 0.6457, recall: 0.763, relative_absolute_error: 0.8661, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4558, root_relative_squared_error: 1.2289, total_cost: 2345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8329, average_cost: 0.2799, f_measure: 0.7885, kappa: 0.3707, kb_relative_information_score: -637.3579, mean_absolute_error: 0.2384, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8465, predictive_accuracy: 0.763, prior_entropy: 0.6457, recall: 0.763, relative_absolute_error: 0.8661, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4558, root_relative_squared_error: 1.2289, total_cost: 2345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8329, average_cost: 0.2799, f_measure: 0.7885, kappa: 0.3707, kb_relative_information_score: -637.3579, mean_absolute_error: 0.2384, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8465, predictive_accuracy: 0.763, prior_entropy: 0.6457, recall: 0.763, relative_absolute_error: 0.8661, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4558, root_relative_squared_error: 1.2289, total_cost: 2345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7891, average_cost: 0.265, f_measure: 0.8295, kappa: 0.3178, kb_relative_information_score: 820.5518, mean_absolute_error: 0.2194, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8304, predictive_accuracy: 0.8531, prior_entropy: 0.6457, recall: 0.8531, relative_absolute_error: 0.7971, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3337, root_relative_squared_error: 0.8996, total_cost: 2220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, average_cost: 0.3294, f_measure: 0.7603, kb_relative_information_score: -2.3208, mean_absolute_error: 0.2752, 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: 1.0001, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3709, root_relative_squared_error: 1, total_cost: 2760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7727, average_cost: 0.2899, f_measure: 0.8098, kappa: 0.2327, kb_relative_information_score: 303.3066, mean_absolute_error: 0.2303, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8072, predictive_accuracy: 0.8396, prior_entropy: 0.6457, recall: 0.8396, relative_absolute_error: 0.8369, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3423, root_relative_squared_error: 0.9228, total_cost: 2429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7762, average_cost: 0.2887, f_measure: 0.811, kappa: 0.2406, kb_relative_information_score: 243.7908, mean_absolute_error: 0.2312, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.807, predictive_accuracy: 0.8387, prior_entropy: 0.6457, recall: 0.8387, relative_absolute_error: 0.84, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3421, root_relative_squared_error: 0.9224, total_cost: 2419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7915, average_cost: 0.267, f_measure: 0.828, kappa: 0.3106, kb_relative_information_score: 851.4827, mean_absolute_error: 0.2182, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8289, predictive_accuracy: 0.8522, prior_entropy: 0.6457, recall: 0.8522, relative_absolute_error: 0.793, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3341, root_relative_squared_error: 0.9007, total_cost: 2237,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7082, average_cost: 0.2675, f_measure: 0.8252, kappa: 0.3375, kb_relative_information_score: 1502.5969, mean_absolute_error: 0.2004, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8196, predictive_accuracy: 0.8336, prior_entropy: 0.6457, recall: 0.8336, relative_absolute_error: 0.7282, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3823, root_relative_squared_error: 1.0305, total_cost: 2241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7927, average_cost: 0.2688, f_measure: 0.8266, kappa: 0.3052, kb_relative_information_score: 863.4941, mean_absolute_error: 0.2168, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8269, predictive_accuracy: 0.8509, prior_entropy: 0.6457, recall: 0.8509, relative_absolute_error: 0.7877, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.334, root_relative_squared_error: 0.9004, total_cost: 2252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7082, average_cost: 0.2675, f_measure: 0.8252, kappa: 0.3375, kb_relative_information_score: 1502.5969, mean_absolute_error: 0.2004, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8196, predictive_accuracy: 0.8336, prior_entropy: 0.6457, recall: 0.8336, relative_absolute_error: 0.7282, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3823, root_relative_squared_error: 1.0305, total_cost: 2241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6738, average_cost: 0.2757, f_measure: 0.8182, kappa: 0.3232, kb_relative_information_score: 1350.2857, mean_absolute_error: 0.2001, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8143, predictive_accuracy: 0.8229, prior_entropy: 0.6457, recall: 0.8229, relative_absolute_error: 0.7271, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3984, root_relative_squared_error: 1.0741, total_cost: 2310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8119, average_cost: 0.2593, f_measure: 0.8289, kappa: 0.367, kb_relative_information_score: 2013.6966, mean_absolute_error: 0.1703, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8261, predictive_accuracy: 0.8321, prior_entropy: 0.6457, recall: 0.8321, relative_absolute_error: 0.6187, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.387, root_relative_squared_error: 1.0432, total_cost: 2172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, average_cost: 0.3294, f_measure: 0.7603, kb_relative_information_score: -0.7597, mean_absolute_error: 0.2752, 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: 1, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3709, root_relative_squared_error: 1, total_cost: 2760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7405, average_cost: 0.2766, 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: 2317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8345, average_cost: 0.2758, f_measure: 0.7929, kappa: 0.3757, kb_relative_information_score: -413.9879, mean_absolute_error: 0.2323, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.846, predictive_accuracy: 0.7688, prior_entropy: 0.6457, recall: 0.7688, relative_absolute_error: 0.8439, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4474, root_relative_squared_error: 1.2062, total_cost: 2311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6982, average_cost: 0.2701, f_measure: 0.8231, kappa: 0.3324, kb_relative_information_score: 1453.6918, mean_absolute_error: 0.2005, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8177, predictive_accuracy: 0.8305, prior_entropy: 0.6457, recall: 0.8305, relative_absolute_error: 0.7285, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3869, root_relative_squared_error: 1.0432, total_cost: 2263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8119, average_cost: 0.2593, f_measure: 0.8289, kappa: 0.367, kb_relative_information_score: 2013.6966, mean_absolute_error: 0.1703, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8261, predictive_accuracy: 0.8321, prior_entropy: 0.6457, recall: 0.8321, relative_absolute_error: 0.6187, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.387, root_relative_squared_error: 1.0432, total_cost: 2172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8119, average_cost: 0.2593, f_measure: 0.8289, kappa: 0.367, kb_relative_information_score: 2013.6966, mean_absolute_error: 0.1703, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8261, predictive_accuracy: 0.8321, prior_entropy: 0.6457, recall: 0.8321, relative_absolute_error: 0.6187, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.387, root_relative_squared_error: 1.0432, total_cost: 2172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8329, average_cost: 0.2799, f_measure: 0.7885, kappa: 0.3707, kb_relative_information_score: -637.3579, mean_absolute_error: 0.2384, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8465, predictive_accuracy: 0.763, prior_entropy: 0.6457, recall: 0.763, relative_absolute_error: 0.8661, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4558, root_relative_squared_error: 1.2289, total_cost: 2345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8329, average_cost: 0.2799, f_measure: 0.7885, kappa: 0.3707, kb_relative_information_score: -637.3579, mean_absolute_error: 0.2384, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8465, predictive_accuracy: 0.763, prior_entropy: 0.6457, recall: 0.763, relative_absolute_error: 0.8661, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4558, root_relative_squared_error: 1.2289, total_cost: 2345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8345, average_cost: 0.2758, f_measure: 0.7929, kappa: 0.3757, kb_relative_information_score: -413.9879, mean_absolute_error: 0.2323, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.846, predictive_accuracy: 0.7688, prior_entropy: 0.6457, recall: 0.7688, relative_absolute_error: 0.8439, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4474, root_relative_squared_error: 1.2062, total_cost: 2311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, average_cost: 0.3294, f_measure: 0.7603, kb_relative_information_score: -0.7597, mean_absolute_error: 0.2752, 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: 1, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3709, root_relative_squared_error: 1, total_cost: 2760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8345, average_cost: 0.2758, f_measure: 0.7929, kappa: 0.3757, kb_relative_information_score: -413.9879, mean_absolute_error: 0.2323, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.846, predictive_accuracy: 0.7688, prior_entropy: 0.6457, recall: 0.7688, relative_absolute_error: 0.8439, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4474, root_relative_squared_error: 1.2062, total_cost: 2311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8345, average_cost: 0.2758, f_measure: 0.7929, kappa: 0.3757, kb_relative_information_score: -413.9879, mean_absolute_error: 0.2323, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.846, predictive_accuracy: 0.7688, prior_entropy: 0.6457, recall: 0.7688, relative_absolute_error: 0.8439, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4474, root_relative_squared_error: 1.2062, total_cost: 2311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8345, average_cost: 0.2758, f_measure: 0.7929, kappa: 0.3757, kb_relative_information_score: -413.9879, mean_absolute_error: 0.2323, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.846, predictive_accuracy: 0.7688, prior_entropy: 0.6457, recall: 0.7688, relative_absolute_error: 0.8439, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4474, root_relative_squared_error: 1.2062, total_cost: 2311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8329, average_cost: 0.2799, f_measure: 0.7885, kappa: 0.3707, kb_relative_information_score: -637.3579, mean_absolute_error: 0.2384, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8465, predictive_accuracy: 0.763, prior_entropy: 0.6457, recall: 0.763, relative_absolute_error: 0.8661, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4558, root_relative_squared_error: 1.2289, total_cost: 2345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8345, average_cost: 0.2758, f_measure: 0.7929, kappa: 0.3757, kb_relative_information_score: -413.9879, mean_absolute_error: 0.2323, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.846, predictive_accuracy: 0.7688, prior_entropy: 0.6457, recall: 0.7688, relative_absolute_error: 0.8439, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4474, root_relative_squared_error: 1.2062, total_cost: 2311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8345, average_cost: 0.2758, f_measure: 0.7929, kappa: 0.3757, kb_relative_information_score: -413.9879, mean_absolute_error: 0.2323, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.846, predictive_accuracy: 0.7688, prior_entropy: 0.6457, recall: 0.7688, relative_absolute_error: 0.8439, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4474, root_relative_squared_error: 1.2062, total_cost: 2311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8345, average_cost: 0.2758, f_measure: 0.7929, kappa: 0.3757, kb_relative_information_score: -413.9879, mean_absolute_error: 0.2323, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.846, predictive_accuracy: 0.7688, prior_entropy: 0.6457, recall: 0.7688, relative_absolute_error: 0.8439, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4474, root_relative_squared_error: 1.2062, total_cost: 2311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8329, average_cost: 0.2799, f_measure: 0.7885, kappa: 0.3707, kb_relative_information_score: -637.3579, mean_absolute_error: 0.2384, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8465, predictive_accuracy: 0.763, prior_entropy: 0.6457, recall: 0.763, relative_absolute_error: 0.8661, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4558, root_relative_squared_error: 1.2289, total_cost: 2345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8329, average_cost: 0.2799, f_measure: 0.7885, kappa: 0.3707, kb_relative_information_score: -637.3579, mean_absolute_error: 0.2384, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8465, predictive_accuracy: 0.763, prior_entropy: 0.6457, recall: 0.763, relative_absolute_error: 0.8661, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4558, root_relative_squared_error: 1.2289, total_cost: 2345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8329, average_cost: 0.2799, f_measure: 0.7885, kappa: 0.3707, kb_relative_information_score: -637.3579, mean_absolute_error: 0.2384, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8465, predictive_accuracy: 0.763, prior_entropy: 0.6457, recall: 0.763, relative_absolute_error: 0.8661, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4558, root_relative_squared_error: 1.2289, total_cost: 2345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8345, average_cost: 0.2758, f_measure: 0.7929, kappa: 0.3757, kb_relative_information_score: -413.9879, mean_absolute_error: 0.2323, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.846, predictive_accuracy: 0.7688, prior_entropy: 0.6457, recall: 0.7688, relative_absolute_error: 0.8439, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4474, root_relative_squared_error: 1.2062, total_cost: 2311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6643, average_cost: 0.2793, f_measure: 0.8181, kappa: 0.2942, kb_relative_information_score: 1106.2859, mean_absolute_error: 0.2144, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8108, predictive_accuracy: 0.8329, prior_entropy: 0.6457, recall: 0.8329, relative_absolute_error: 0.7788, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3773, root_relative_squared_error: 1.0172, total_cost: 2340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7765, average_cost: 0.2743, f_measure: 0.8222, kappa: 0.2996, kb_relative_information_score: 796.4275, mean_absolute_error: 0.223, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8166, predictive_accuracy: 0.8413, prior_entropy: 0.6457, recall: 0.8413, relative_absolute_error: 0.8103, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3437, root_relative_squared_error: 0.9267, total_cost: 2298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7216, average_cost: 0.2745, f_measure: 0.822, kappa: 0.2991, kb_relative_information_score: 869.8316, mean_absolute_error: 0.2212, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8164, predictive_accuracy: 0.841, prior_entropy: 0.6457, recall: 0.841, relative_absolute_error: 0.8037, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3566, root_relative_squared_error: 0.9615, total_cost: 2300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7468, average_cost: 0.2799, f_measure: 0.818, kappa: 0.2736, kb_relative_information_score: 524.0811, mean_absolute_error: 0.2277, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8143, predictive_accuracy: 0.8422, prior_entropy: 0.6457, recall: 0.8422, relative_absolute_error: 0.8275, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3475, root_relative_squared_error: 0.9367, total_cost: 2345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7468, average_cost: 0.2799, f_measure: 0.818, kappa: 0.2736, kb_relative_information_score: 524.0811, mean_absolute_error: 0.2277, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8143, predictive_accuracy: 0.8422, prior_entropy: 0.6457, recall: 0.8422, relative_absolute_error: 0.8275, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3475, root_relative_squared_error: 0.9367, total_cost: 2345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8345, average_cost: 0.2758, f_measure: 0.7929, kappa: 0.3757, kb_relative_information_score: -413.9879, mean_absolute_error: 0.2323, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.846, predictive_accuracy: 0.7688, prior_entropy: 0.6457, recall: 0.7688, relative_absolute_error: 0.8439, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4474, root_relative_squared_error: 1.2062, total_cost: 2311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8119, average_cost: 0.2593, f_measure: 0.8289, kappa: 0.367, kb_relative_information_score: 2013.6966, mean_absolute_error: 0.1703, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8261, predictive_accuracy: 0.8321, prior_entropy: 0.6457, recall: 0.8321, relative_absolute_error: 0.6187, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.387, root_relative_squared_error: 1.0432, total_cost: 2172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8119, average_cost: 0.2593, f_measure: 0.8289, kappa: 0.367, kb_relative_information_score: 2013.6966, mean_absolute_error: 0.1703, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8261, predictive_accuracy: 0.8321, prior_entropy: 0.6457, recall: 0.8321, relative_absolute_error: 0.6187, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.387, root_relative_squared_error: 1.0432, total_cost: 2172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8345, average_cost: 0.2758, f_measure: 0.7929, kappa: 0.3757, kb_relative_information_score: -413.9879, mean_absolute_error: 0.2323, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.846, predictive_accuracy: 0.7688, prior_entropy: 0.6457, recall: 0.7688, relative_absolute_error: 0.8439, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4474, root_relative_squared_error: 1.2062, total_cost: 2311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8329, average_cost: 0.2799, f_measure: 0.7885, kappa: 0.3707, kb_relative_information_score: -637.3579, mean_absolute_error: 0.2384, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8465, predictive_accuracy: 0.763, prior_entropy: 0.6457, recall: 0.763, relative_absolute_error: 0.8661, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4558, root_relative_squared_error: 1.2289, total_cost: 2345,

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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