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: 0.7405, 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: 0.7405, 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: 0.6982, 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: 0.7405, 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: 0.6982, 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: 0.7277, average_cost: 5.7098, f_measure: 0.8232, kappa: 0.3072, kb_relative_information_score: 834.9645, mean_absolute_error: 0.2146, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8172, predictive_accuracy: 0.8405, prior_entropy: 0.6457, recall: 0.8405, relative_absolute_error: 0.7796, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3568, root_relative_squared_error: 0.962, total_cost: 47837,
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: 0.6982, 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: 0.7277, average_cost: 5.7098, f_measure: 0.8232, kappa: 0.3072, kb_relative_information_score: 834.9645, mean_absolute_error: 0.2146, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8172, predictive_accuracy: 0.8405, prior_entropy: 0.6457, recall: 0.8405, relative_absolute_error: 0.7796, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3568, root_relative_squared_error: 0.962, total_cost: 47837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7284, average_cost: 5.7496, f_measure: 0.8236, kappa: 0.3066, kb_relative_information_score: 917.4209, mean_absolute_error: 0.2177, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.818, predictive_accuracy: 0.8417, prior_entropy: 0.6457, recall: 0.8417, relative_absolute_error: 0.7911, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3552, root_relative_squared_error: 0.9577, total_cost: 48170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7284, average_cost: 5.7496, f_measure: 0.8236, kappa: 0.3066, kb_relative_information_score: 917.4209, mean_absolute_error: 0.2177, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.818, predictive_accuracy: 0.8417, prior_entropy: 0.6457, recall: 0.8417, relative_absolute_error: 0.7911, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3552, root_relative_squared_error: 0.9577, total_cost: 48170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7284, average_cost: 5.7496, f_measure: 0.8236, kappa: 0.3066, kb_relative_information_score: 917.4209, mean_absolute_error: 0.2177, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.818, predictive_accuracy: 0.8417, prior_entropy: 0.6457, recall: 0.8417, relative_absolute_error: 0.7911, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3552, root_relative_squared_error: 0.9577, total_cost: 48170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7284, average_cost: 5.7496, f_measure: 0.8236, kappa: 0.3066, kb_relative_information_score: 917.4209, mean_absolute_error: 0.2177, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.818, predictive_accuracy: 0.8417, prior_entropy: 0.6457, recall: 0.8417, relative_absolute_error: 0.7911, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3552, root_relative_squared_error: 0.9577, total_cost: 48170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7316, average_cost: 5.6055, f_measure: 0.8239, kappa: 0.3136, kb_relative_information_score: 846.5988, mean_absolute_error: 0.2167, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8176, predictive_accuracy: 0.8396, prior_entropy: 0.6457, recall: 0.8396, relative_absolute_error: 0.7872, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3549, root_relative_squared_error: 0.9569, total_cost: 46963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.776, average_cost: 6.0228, f_measure: 0.8208, kappa: 0.287, kb_relative_information_score: 713.878, mean_absolute_error: 0.2244, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8169, predictive_accuracy: 0.8434, prior_entropy: 0.6457, recall: 0.8434, relative_absolute_error: 0.8154, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3415, root_relative_squared_error: 0.9208, total_cost: 50459,
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: 0.8572, 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: 0.8556, 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: 0.8572, 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: 0.8556, 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: 0.8572, 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: 0.8604, average_cost: 6.836, f_measure: 0.8139, kappa: 0.2335, kb_relative_information_score: 982.7616, mean_absolute_error: 0.2194, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8431, predictive_accuracy: 0.8549, prior_entropy: 0.6457, recall: 0.8549, relative_absolute_error: 0.7973, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3187, root_relative_squared_error: 0.8592, total_cost: 57272,
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: 0.6873, 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: 0.6873, 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: 0.6873, 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: 0.6873, 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: 0.6873, 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: 0.6873, 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: 0.6873, 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: 0.6873, 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: 0.6873, 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: 0.6873, 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: 0.6873, 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: 0.6873, 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: 0.6873, 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: 0.6873, 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: 0.6873, 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: 0.6873, 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: 0.7174, average_cost: 8.2359, f_measure: 0.7603, kb_relative_information_score: -921.2761, mean_absolute_error: 0.252, 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: 0.9157, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3543, root_relative_squared_error: 0.9552, total_cost: 69000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7174, average_cost: 8.2359, f_measure: 0.7603, kb_relative_information_score: -921.2761, mean_absolute_error: 0.252, 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: 0.9157, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3543, root_relative_squared_error: 0.9552, total_cost: 69000,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6333, average_cost: 0.7306, f_measure: 0.4247, kappa: 0.1086, kb_relative_information_score: -13970.7787, mean_absolute_error: 0.6019, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8612, predictive_accuracy: 0.3981, prior_entropy: 0.6457, recall: 0.3981, relative_absolute_error: 2.1871, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.7758, root_relative_squared_error: 2.0916, total_cost: 6121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6322, average_cost: 0.7324, f_measure: 0.4225, kappa: 0.1076, kb_relative_information_score: -14037.2461, mean_absolute_error: 0.6037, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.861, predictive_accuracy: 0.3963, prior_entropy: 0.6457, recall: 0.3963, relative_absolute_error: 2.1936, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.777, root_relative_squared_error: 2.0948, total_cost: 6136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6316, average_cost: 0.7333, f_measure: 0.4212, kappa: 0.107, kb_relative_information_score: -14072.6954, mean_absolute_error: 0.6047, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8609, predictive_accuracy: 0.3953, prior_entropy: 0.6457, recall: 0.3953, relative_absolute_error: 2.197, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.7776, root_relative_squared_error: 2.0964, total_cost: 6144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6296, average_cost: 0.7368, f_measure: 0.4168, kappa: 0.1049, kb_relative_information_score: -14201.1991, mean_absolute_error: 0.6081, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8606, predictive_accuracy: 0.3919, prior_entropy: 0.6457, recall: 0.3919, relative_absolute_error: 2.2096, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.7798, root_relative_squared_error: 2.1024, total_cost: 6173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6294, average_cost: 0.7372, f_measure: 0.4163, kappa: 0.1047, kb_relative_information_score: -14214.4926, mean_absolute_error: 0.6085, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8606, predictive_accuracy: 0.3915, prior_entropy: 0.6457, recall: 0.3915, relative_absolute_error: 2.2109, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.7801, root_relative_squared_error: 2.103, total_cost: 6176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6294, average_cost: 0.7318, f_measure: 0.4156, kappa: 0.1047, kb_relative_information_score: -14232.2172, mean_absolute_error: 0.609, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.861, predictive_accuracy: 0.391, prior_entropy: 0.6457, recall: 0.391, relative_absolute_error: 2.2127, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.7804, root_relative_squared_error: 2.1038, total_cost: 6131,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6314, average_cost: 0.7391, f_measure: 0.4215, kappa: 0.1069, kb_relative_information_score: -14068.2642, mean_absolute_error: 0.6046, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8605, predictive_accuracy: 0.3954, prior_entropy: 0.6457, recall: 0.3954, relative_absolute_error: 2.1966, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.7775, root_relative_squared_error: 2.0962, total_cost: 6192,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6075, average_cost: 0.7254, f_measure: 0.3609, kappa: 0.0835, kb_relative_information_score: -15729.9498, mean_absolute_error: 0.6493, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8616, predictive_accuracy: 0.3507, prior_entropy: 0.6457, recall: 0.3507, relative_absolute_error: 2.3592, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.8058, root_relative_squared_error: 2.1724, total_cost: 6077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6081, average_cost: 0.7244, f_measure: 0.3622, kappa: 0.0841, kb_relative_information_score: -15694.5005, mean_absolute_error: 0.6484, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8616, predictive_accuracy: 0.3516, prior_entropy: 0.6457, recall: 0.3516, relative_absolute_error: 2.3558, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.8052, root_relative_squared_error: 2.1708, total_cost: 6069,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6075, average_cost: 0.7255, f_measure: 0.3607, kappa: 0.0835, kb_relative_information_score: -15734.381, mean_absolute_error: 0.6494, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8616, predictive_accuracy: 0.3506, prior_entropy: 0.6457, recall: 0.3506, relative_absolute_error: 2.3597, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.8059, root_relative_squared_error: 2.1726, total_cost: 6078,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6088, average_cost: 0.7178, f_measure: 0.3631, kappa: 0.0846, kb_relative_information_score: -15667.9135, mean_absolute_error: 0.6476, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8622, predictive_accuracy: 0.3524, prior_entropy: 0.6457, recall: 0.3524, relative_absolute_error: 2.3532, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.8048, root_relative_squared_error: 2.1696, total_cost: 6014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.869, average_cost: 4.9913, f_measure: 0.8547, kappa: 0.4303, kb_relative_information_score: 1714.0273, mean_absolute_error: 0.1909, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8543, predictive_accuracy: 0.8689, prior_entropy: 0.6457, recall: 0.8689, relative_absolute_error: 0.6936, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3078, root_relative_squared_error: 0.8299, total_cost: 41817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8682, average_cost: 5.0318, f_measure: 0.8546, kappa: 0.4288, kb_relative_information_score: 1672.4657, mean_absolute_error: 0.1921, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8548, predictive_accuracy: 0.8694, prior_entropy: 0.6457, recall: 0.8694, relative_absolute_error: 0.6981, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3084, root_relative_squared_error: 0.8314, total_cost: 42156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8681, average_cost: 5.0316, f_measure: 0.8547, kappa: 0.4291, kb_relative_information_score: 1675.9999, mean_absolute_error: 0.192, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.855, predictive_accuracy: 0.8695, prior_entropy: 0.6457, recall: 0.8695, relative_absolute_error: 0.6978, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3084, root_relative_squared_error: 0.8313, total_cost: 42155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8333, average_cost: 2.0882, f_measure: 0.7821, kappa: 0.3689, kb_relative_information_score: -1088.1516, mean_absolute_error: 0.2501, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8505, predictive_accuracy: 0.7541, prior_entropy: 0.6457, recall: 0.7541, relative_absolute_error: 0.9086, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4686, root_relative_squared_error: 1.2633, total_cost: 17495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7613, average_cost: 2.088, f_measure: 0.7823, kappa: 0.3693, kb_relative_information_score: -743.7616, mean_absolute_error: 0.2456, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8505, predictive_accuracy: 0.7544, prior_entropy: 0.6457, recall: 0.7544, relative_absolute_error: 0.8925, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4956, root_relative_squared_error: 1.3362, total_cost: 17493,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7546, average_cost: 1.4181, f_measure: 0.7225, kappa: 0.3055, kb_relative_information_score: -3451.2012, mean_absolute_error: 0.3186, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8554, predictive_accuracy: 0.6814, prior_entropy: 0.6457, recall: 0.6814, relative_absolute_error: 1.1575, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.5644, root_relative_squared_error: 1.5217, total_cost: 11881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6339, average_cost: 0.9334, f_measure: 0.4518, kappa: 0.1123, kb_relative_information_score: -13248.4994, mean_absolute_error: 0.5825, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8483, predictive_accuracy: 0.4175, prior_entropy: 0.6457, recall: 0.4175, relative_absolute_error: 2.1164, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.7632, root_relative_squared_error: 2.0576, total_cost: 7820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5285, average_cost: 0.8091, f_measure: 0.1429, kappa: 0.0196, kb_relative_information_score: -20794.7674, mean_absolute_error: 0.7857, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8559, predictive_accuracy: 0.2143, prior_entropy: 0.6457, recall: 0.2143, relative_absolute_error: 2.8549, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.8864, root_relative_squared_error: 2.3898, total_cost: 6779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5821, average_cost: 0.741, f_measure: 0.2954, kappa: 0.0611, kb_relative_information_score: -17396.0665, mean_absolute_error: 0.6942, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8612, predictive_accuracy: 0.3058, prior_entropy: 0.6457, recall: 0.3058, relative_absolute_error: 2.5223, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.8332, root_relative_squared_error: 2.2462, total_cost: 6208,
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: 0.8577, average_cost: 6.7776, f_measure: 0.8151, kappa: 0.2397, kb_relative_information_score: 992.2673, mean_absolute_error: 0.2185, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8408, predictive_accuracy: 0.8547, prior_entropy: 0.6457, recall: 0.8547, relative_absolute_error: 0.794, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3187, root_relative_squared_error: 0.8593, total_cost: 56783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8205, average_cost: 8.2359, f_measure: 0.7603, kb_relative_information_score: 12.0974, mean_absolute_error: 0.2624, 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: 0.9535, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.356, root_relative_squared_error: 0.9597, total_cost: 69000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8394, average_cost: 8.2359, f_measure: 0.7603, kb_relative_information_score: 202.5768, mean_absolute_error: 0.252, 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: 0.9156, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.345, root_relative_squared_error: 0.9301, total_cost: 69000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8489, average_cost: 8.218, f_measure: 0.7612, kappa: 0.0036, kb_relative_information_score: 388.8145, mean_absolute_error: 0.2437, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8627, predictive_accuracy: 0.8356, prior_entropy: 0.6457, recall: 0.8356, relative_absolute_error: 0.8853, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3368, root_relative_squared_error: 0.908, total_cost: 68850,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8542, average_cost: 8.0513, f_measure: 0.7688, kappa: 0.036, kb_relative_information_score: 563.6267, mean_absolute_error: 0.2368, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8461, predictive_accuracy: 0.8385, prior_entropy: 0.6457, recall: 0.8385, relative_absolute_error: 0.8605, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3308, root_relative_squared_error: 0.8919, total_cost: 67454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8577, average_cost: 7.7719, f_measure: 0.7809, kappa: 0.0875, kb_relative_information_score: 699.0791, mean_absolute_error: 0.2314, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8452, predictive_accuracy: 0.843, prior_entropy: 0.6457, recall: 0.843, relative_absolute_error: 0.8406, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3265, root_relative_squared_error: 0.8801, total_cost: 65113,
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,

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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