Task
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: 0.8329, average_cost: 2.3367, 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: 19577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8329, average_cost: 2.3367, 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: 19577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8329, average_cost: 2.3367, 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: 19577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8119, average_cost: 4.6422, 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: 38892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6873, average_cost: 8.2359, f_measure: 0.7603, kb_relative_information_score: -978.4505, mean_absolute_error: 0.2519, 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: 0.9152, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3549, root_relative_squared_error: 0.9568, total_cost: 69000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6449, average_cost: 6.5782, f_measure: 0.799, kappa: 0.1967, kb_relative_information_score: -74.7395, mean_absolute_error: 0.2263, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.7895, predictive_accuracy: 0.8261, prior_entropy: 0.6457, recall: 0.8261, relative_absolute_error: 0.8223, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3899, root_relative_squared_error: 1.0511, total_cost: 55112,
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: 0.8119, average_cost: 4.6422, 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: 38892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8345, average_cost: 2.4186, 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: 20263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8329, average_cost: 2.3367, 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: 19577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8329, average_cost: 2.3367, 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: 19577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7468, average_cost: 6.141, 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: 51449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8572, average_cost: 6.7057, f_measure: 0.818, kappa: 0.2519, kb_relative_information_score: 983.2103, mean_absolute_error: 0.2188, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8444, predictive_accuracy: 0.8565, prior_entropy: 0.6457, recall: 0.8565, relative_absolute_error: 0.7949, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3189, root_relative_squared_error: 0.8598, total_cost: 56180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7405, 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: 0.6379, average_cost: 5.5863, 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: 46802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6903, average_cost: 6.7724, f_measure: 0.8025, kappa: 0.1984, kb_relative_information_score: 143.5281, mean_absolute_error: 0.2332, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.7999, predictive_accuracy: 0.8366, prior_entropy: 0.6457, recall: 0.8366, relative_absolute_error: 0.8474, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3653, root_relative_squared_error: 0.985, total_cost: 56739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7468, average_cost: 6.141, 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: 51449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7216, average_cost: 5.8205, 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: 48764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7216, average_cost: 5.8205, 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: 48764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7765, average_cost: 5.8202, 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: 48762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6643, average_cost: 5.6648, 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: 47460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6643, average_cost: 5.6648, 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: 47460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8345, average_cost: 2.4186, 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: 20263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8556, average_cost: 6.8137, f_measure: 0.8137, kappa: 0.2334, kb_relative_information_score: 972.466, mean_absolute_error: 0.2185, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8387, predictive_accuracy: 0.8538, prior_entropy: 0.6457, recall: 0.8538, relative_absolute_error: 0.7939, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3191, root_relative_squared_error: 0.8602, total_cost: 57085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8329, average_cost: 2.3367, 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: 19577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8572, average_cost: 6.7057, f_measure: 0.818, kappa: 0.2519, kb_relative_information_score: 983.2103, mean_absolute_error: 0.2188, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8444, predictive_accuracy: 0.8565, prior_entropy: 0.6457, recall: 0.8565, relative_absolute_error: 0.7949, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3189, root_relative_squared_error: 0.8598, total_cost: 56180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8329, average_cost: 2.3367, 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: 19577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8329, average_cost: 2.3367, 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: 19577,
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: 0.8345, average_cost: 2.4186, 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: 20263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8345, average_cost: 2.4186, 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: 20263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8329, average_cost: 2.3367, 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: 19577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8345, average_cost: 2.4186, 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: 20263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8345, average_cost: 2.4186, 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: 20263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8345, average_cost: 2.4186, 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: 20263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8345, average_cost: 2.4186, 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: 20263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8345, average_cost: 2.4186, 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: 20263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8345, average_cost: 2.4186, 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: 20263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8329, average_cost: 2.3367, 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: 19577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8119, average_cost: 4.6422, 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: 38892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8119, average_cost: 4.6422, 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: 38892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6982, average_cost: 5.0999, 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: 42727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, average_cost: 8.2359, 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: 69000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8119, average_cost: 4.6422, 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: 38892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.786, average_cost: 5.9953, f_measure: 0.8199, kappa: 0.2853, kb_relative_information_score: 306.6812, mean_absolute_error: 0.2271, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8151, predictive_accuracy: 0.8416, prior_entropy: 0.6457, recall: 0.8416, relative_absolute_error: 0.8252, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3408, root_relative_squared_error: 0.9189, total_cost: 50229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6738, average_cost: 5.0081, 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: 41958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.796, average_cost: 5.5461, f_measure: 0.8299, kappa: 0.3338, kb_relative_information_score: 962.9989, mean_absolute_error: 0.2132, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.825, predictive_accuracy: 0.8464, prior_entropy: 0.6457, recall: 0.8464, relative_absolute_error: 0.7747, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3388, root_relative_squared_error: 0.9133, total_cost: 46465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7927, average_cost: 6.0153, 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: 50396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7082, average_cost: 5.1202, 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: 42897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7082, average_cost: 5.1202, 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: 42897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7915, average_cost: 5.9906, 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: 50189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7762, average_cost: 6.4076, 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: 53683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7727, average_cost: 6.5062, 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: 54509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, average_cost: 8.2359, 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: 69000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7891, average_cost: 5.9312, 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: 49692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8329, average_cost: 2.3367, 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: 19577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8329, average_cost: 2.3367, 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: 19577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8329, average_cost: 2.3367, 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: 19577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8345, average_cost: 2.4186, 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: 20263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8119, average_cost: 4.6422, 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: 38892,
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: 0.7405, 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: 0.7952, average_cost: 6.1129, 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: 51214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7952, average_cost: 6.1129, 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: 51214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7977, average_cost: 5.7452, 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: 48133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7977, average_cost: 5.7452, 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: 48133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7977, average_cost: 5.7452, 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: 48133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7969, average_cost: 5.6862, 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: 47639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7862, average_cost: 6.3071, 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: 52841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7891, average_cost: 5.9312, 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: 49692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7891, average_cost: 5.9312, 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: 49692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7891, average_cost: 5.9312, 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: 49692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.78, average_cost: 5.9532, 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: 49876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7891, average_cost: 5.9312, 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: 49692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8048, average_cost: 5.5762, 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: 46717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8013, average_cost: 5.5572, 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: 46558,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8048, average_cost: 5.5762, 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: 46717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7876, average_cost: 5.8822, 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: 49281,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7891, average_cost: 5.9312, 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: 49692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7868, average_cost: 5.7696, 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: 48338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7914, average_cost: 5.9601, f_measure: 0.8294, kappa: 0.3162, kb_relative_information_score: 710.4549, mean_absolute_error: 0.221, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8308, predictive_accuracy: 0.8534, prior_entropy: 0.6457, recall: 0.8534, relative_absolute_error: 0.8029, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3331, root_relative_squared_error: 0.8979, total_cost: 49934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.782, average_cost: 6.208, 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: 52011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8097, average_cost: 5.7374, f_measure: 0.8286, kappa: 0.3222, kb_relative_information_score: 681.4978, mean_absolute_error: 0.2135, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.825, predictive_accuracy: 0.8481, prior_entropy: 0.6457, recall: 0.8481, relative_absolute_error: 0.7759, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3338, root_relative_squared_error: 0.8998, total_cost: 48068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.785, average_cost: 6.3532, f_measure: 0.8175, kappa: 0.2632, kb_relative_information_score: 413.5077, mean_absolute_error: 0.2258, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8186, predictive_accuracy: 0.8464, prior_entropy: 0.6457, recall: 0.8464, relative_absolute_error: 0.8203, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3374, root_relative_squared_error: 0.9096, total_cost: 53227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7953, average_cost: 6.1672, f_measure: 0.8242, kappa: 0.2918, kb_relative_information_score: 855.6531, mean_absolute_error: 0.219, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8266, predictive_accuracy: 0.851, prior_entropy: 0.6457, recall: 0.851, relative_absolute_error: 0.7958, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3321, root_relative_squared_error: 0.8953, total_cost: 51669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7801, average_cost: 6.2435, f_measure: 0.8184, kappa: 0.2704, kb_relative_information_score: 462.7847, mean_absolute_error: 0.2236, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8171, predictive_accuracy: 0.845, prior_entropy: 0.6457, recall: 0.845, relative_absolute_error: 0.8124, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.344, root_relative_squared_error: 0.9273, total_cost: 52308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7963, average_cost: 5.5448, f_measure: 0.8355, kappa: 0.3509, kb_relative_information_score: 881.0969, mean_absolute_error: 0.2187, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.833, predictive_accuracy: 0.8535, prior_entropy: 0.6457, recall: 0.8535, relative_absolute_error: 0.7947, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3321, root_relative_squared_error: 0.8952, total_cost: 46454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7982, average_cost: 5.5728, f_measure: 0.8225, kappa: 0.3109, kb_relative_information_score: 1058.3499, mean_absolute_error: 0.2107, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8159, predictive_accuracy: 0.8372, prior_entropy: 0.6457, recall: 0.8372, relative_absolute_error: 0.7654, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3392, root_relative_squared_error: 0.9144, total_cost: 46689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7982, average_cost: 5.5728, f_measure: 0.8225, kappa: 0.3109, kb_relative_information_score: 1058.3499, mean_absolute_error: 0.2107, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8159, predictive_accuracy: 0.8372, prior_entropy: 0.6457, recall: 0.8372, relative_absolute_error: 0.7654, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3392, root_relative_squared_error: 0.9144, total_cost: 46689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7999, average_cost: 5.3313, f_measure: 0.8223, kappa: 0.3206, kb_relative_information_score: 1166.0334, mean_absolute_error: 0.2066, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.816, predictive_accuracy: 0.833, prior_entropy: 0.6457, recall: 0.833, relative_absolute_error: 0.7508, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.342, root_relative_squared_error: 0.9219, total_cost: 44666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7977, average_cost: 5.56, f_measure: 0.837, kappa: 0.3552, kb_relative_information_score: 955.0965, mean_absolute_error: 0.2172, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8357, predictive_accuracy: 0.8558, prior_entropy: 0.6457, recall: 0.8558, relative_absolute_error: 0.7892, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.331, root_relative_squared_error: 0.8923, total_cost: 46582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7977, average_cost: 5.5956, f_measure: 0.8362, kappa: 0.3512, kb_relative_information_score: 954.0566, mean_absolute_error: 0.2172, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8349, predictive_accuracy: 0.8553, prior_entropy: 0.6457, recall: 0.8553, relative_absolute_error: 0.7893, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3311, root_relative_squared_error: 0.8926, total_cost: 46880,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7969, average_cost: 5.6311, f_measure: 0.8354, kappa: 0.3475, kb_relative_information_score: 907.0369, mean_absolute_error: 0.2179, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8342, predictive_accuracy: 0.855, prior_entropy: 0.6457, recall: 0.855, relative_absolute_error: 0.7919, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3315, root_relative_squared_error: 0.8936, total_cost: 47177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7968, average_cost: 5.6078, f_measure: 0.8356, kappa: 0.3491, kb_relative_information_score: 908.3547, mean_absolute_error: 0.2179, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8342, predictive_accuracy: 0.8549, prior_entropy: 0.6457, recall: 0.8549, relative_absolute_error: 0.7918, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3315, root_relative_squared_error: 0.8938, total_cost: 46982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7969, average_cost: 5.6019, f_measure: 0.8357, kappa: 0.3496, kb_relative_information_score: 910.0234, mean_absolute_error: 0.2179, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8342, predictive_accuracy: 0.8549, prior_entropy: 0.6457, recall: 0.8549, relative_absolute_error: 0.7916, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3314, root_relative_squared_error: 0.8935, total_cost: 46933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7971, average_cost: 5.5604, f_measure: 0.8368, kappa: 0.3543, kb_relative_information_score: 914.291, mean_absolute_error: 0.2178, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8352, predictive_accuracy: 0.8555, prior_entropy: 0.6457, recall: 0.8555, relative_absolute_error: 0.7912, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3312, root_relative_squared_error: 0.8928, total_cost: 46585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7967, average_cost: 5.6024, f_measure: 0.8353, kappa: 0.3484, kb_relative_information_score: 900.0692, mean_absolute_error: 0.2182, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8336, predictive_accuracy: 0.8544, prior_entropy: 0.6457, recall: 0.8544, relative_absolute_error: 0.7927, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3318, root_relative_squared_error: 0.8944, total_cost: 46937,

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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