OpenML
Supervised Classification on Click_prediction_small

Supervised Classification on Click_prediction_small

Task 14971 Supervised Classification Click_prediction_small 21169 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6931, f_measure: 0.7597, kappa: 0.0189, kb_relative_information_score: -2445.4439, mean_absolute_error: 0.2618, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7933, predictive_accuracy: 0.8323, prior_entropy: 0.6541, recall: 0.8323, relative_absolute_error: 0.9345, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3609, root_relative_squared_error: 0.9644, scimark_benchmark: 1707.1778, usercpu_time_millis: 1240.741, usercpu_time_millis_testing: 29.422, usercpu_time_millis_training: 1211.319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6912, f_measure: 0.7592, kappa: 0.017, kb_relative_information_score: -2434.9322, mean_absolute_error: 0.2625, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7956, predictive_accuracy: 0.8323, prior_entropy: 0.6541, recall: 0.8323, relative_absolute_error: 0.9371, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3613, root_relative_squared_error: 0.9656, scimark_benchmark: 1709.5279, usercpu_time_millis: 875.304, usercpu_time_millis_testing: 29.595, usercpu_time_millis_training: 845.709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6946, f_measure: 0.7683, kappa: 0.0549, kb_relative_information_score: -2275.2779, mean_absolute_error: 0.2601, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.796, predictive_accuracy: 0.8338, prior_entropy: 0.6541, recall: 0.8338, relative_absolute_error: 0.9284, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3602, root_relative_squared_error: 0.9625, scimark_benchmark: 1712.0526, usercpu_time_millis: 735.236, usercpu_time_millis_testing: 10.016, usercpu_time_millis_training: 725.22,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6876, f_measure: 0.7594, kappa: 0.0177, kb_relative_information_score: -2704.12, mean_absolute_error: 0.2618, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7712, predictive_accuracy: 0.8312, prior_entropy: 0.6541, recall: 0.8312, relative_absolute_error: 0.9346, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3621, root_relative_squared_error: 0.9675, scimark_benchmark: 1752.749, usercpu_time_millis: 770.313, usercpu_time_millis_testing: 11.538, usercpu_time_millis_training: 758.775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6895, f_measure: 0.7584, kappa: 0.0136, kb_relative_information_score: -2527.2172, mean_absolute_error: 0.2623, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.785, predictive_accuracy: 0.8319, prior_entropy: 0.6541, recall: 0.8319, relative_absolute_error: 0.9363, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3617, root_relative_squared_error: 0.9665, scimark_benchmark: 1760.2434, usercpu_time_millis: 724.053, usercpu_time_millis_testing: 15.425, usercpu_time_millis_training: 708.628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6968, f_measure: 0.7642, kappa: 0.0376, kb_relative_information_score: -2313.8028, mean_absolute_error: 0.2607, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7994, predictive_accuracy: 0.8334, prior_entropy: 0.6541, recall: 0.8334, relative_absolute_error: 0.9307, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3599, root_relative_squared_error: 0.9616, scimark_benchmark: 1788.684, usercpu_time_millis: 692.124, usercpu_time_millis_testing: 17.611, usercpu_time_millis_training: 674.513,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6916, f_measure: 0.7589, kappa: 0.0155, kb_relative_information_score: -2486.9801, mean_absolute_error: 0.2622, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7942, predictive_accuracy: 0.8322, prior_entropy: 0.6541, recall: 0.8322, relative_absolute_error: 0.9362, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3613, root_relative_squared_error: 0.9654, scimark_benchmark: 1666.8126, usercpu_time_millis: 734.789, usercpu_time_millis_testing: 17.747, usercpu_time_millis_training: 717.042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6897, f_measure: 0.7585, kappa: 0.0141, kb_relative_information_score: -2550.2336, mean_absolute_error: 0.2622, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7862, predictive_accuracy: 0.8319, prior_entropy: 0.6541, recall: 0.8319, relative_absolute_error: 0.9362, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3617, root_relative_squared_error: 0.9665, scimark_benchmark: 1843.0021, usercpu_time_millis: 732.04, usercpu_time_millis_testing: 15.498, usercpu_time_millis_training: 716.542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6934, f_measure: 0.76, kappa: 0.0204, kb_relative_information_score: -2410.1299, mean_absolute_error: 0.2611, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7888, predictive_accuracy: 0.8322, prior_entropy: 0.6541, recall: 0.8322, relative_absolute_error: 0.9322, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3608, root_relative_squared_error: 0.9641, scimark_benchmark: 1737.4645, usercpu_time_millis: 657.732, usercpu_time_millis_testing: 14.19, usercpu_time_millis_training: 643.542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6938, f_measure: 0.768, kappa: 0.0536, kb_relative_information_score: -2320.5983, mean_absolute_error: 0.2603, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.797, predictive_accuracy: 0.8338, prior_entropy: 0.6541, recall: 0.8338, relative_absolute_error: 0.9293, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3604, root_relative_squared_error: 0.9629, scimark_benchmark: 2009.7057, usercpu_time_millis: 631.955, usercpu_time_millis_testing: 9.447, usercpu_time_millis_training: 622.508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6948, f_measure: 0.7613, kappa: 0.0256, kb_relative_information_score: -2358.8078, mean_absolute_error: 0.2611, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7968, predictive_accuracy: 0.8327, prior_entropy: 0.6541, recall: 0.8327, relative_absolute_error: 0.932, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3604, root_relative_squared_error: 0.9631, scimark_benchmark: 1732.3413, usercpu_time_millis: 582.858, usercpu_time_millis_testing: 13.968, usercpu_time_millis_training: 568.89,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6928, f_measure: 0.767, kappa: 0.0496, kb_relative_information_score: -2871.0548, mean_absolute_error: 0.2625, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7972, predictive_accuracy: 0.8337, prior_entropy: 0.6541, recall: 0.8337, relative_absolute_error: 0.9371, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3603, root_relative_squared_error: 0.9626, scimark_benchmark: 1723.6508, usercpu_time_millis: 537.262, usercpu_time_millis_testing: 18.937, usercpu_time_millis_training: 518.325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6964, f_measure: 0.7682, kappa: 0.0544, kb_relative_information_score: -2499.3347, mean_absolute_error: 0.2606, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7996, predictive_accuracy: 0.8341, prior_entropy: 0.6541, recall: 0.8341, relative_absolute_error: 0.9304, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3596, root_relative_squared_error: 0.9608, scimark_benchmark: 1756.2523, usercpu_time_millis: 537.174, usercpu_time_millis_testing: 15.828, usercpu_time_millis_training: 521.346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6928, f_measure: 0.7597, kappa: 0.0188, kb_relative_information_score: -2398.9273, mean_absolute_error: 0.2624, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7998, predictive_accuracy: 0.8325, prior_entropy: 0.6541, recall: 0.8325, relative_absolute_error: 0.9366, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.361, root_relative_squared_error: 0.9648, scimark_benchmark: 1775.1864, usercpu_time_millis: 544.817, usercpu_time_millis_testing: 19.953, usercpu_time_millis_training: 524.864,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6899, f_measure: 0.761, kappa: 0.0243, kb_relative_information_score: -2593.8652, mean_absolute_error: 0.2625, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7982, predictive_accuracy: 0.8327, prior_entropy: 0.6541, recall: 0.8327, relative_absolute_error: 0.9371, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3615, root_relative_squared_error: 0.9659, scimark_benchmark: 1702.6606, usercpu_time_millis: 488.741, usercpu_time_millis_testing: 13.065, usercpu_time_millis_training: 475.676,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.686, f_measure: 0.7601, kappa: 0.0205, kb_relative_information_score: -2485.4866, mean_absolute_error: 0.2635, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7973, predictive_accuracy: 0.8325, prior_entropy: 0.6541, recall: 0.8325, relative_absolute_error: 0.9406, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3621, root_relative_squared_error: 0.9675, scimark_benchmark: 1754.0868, usercpu_time_millis: 468.446, usercpu_time_millis_testing: 21.044, usercpu_time_millis_training: 447.402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6896, f_measure: 0.7572, kappa: 0.0088, kb_relative_information_score: -2423.5016, mean_absolute_error: 0.2636, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7952, predictive_accuracy: 0.832, prior_entropy: 0.6541, recall: 0.832, relative_absolute_error: 0.941, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3617, root_relative_squared_error: 0.9665, scimark_benchmark: 1759.8778, usercpu_time_millis: 431.157, usercpu_time_millis_testing: 15.367, usercpu_time_millis_training: 415.79,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6872, f_measure: 0.7598, kappa: 0.0194, kb_relative_information_score: -2518.305, mean_absolute_error: 0.2631, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7972, predictive_accuracy: 0.8325, prior_entropy: 0.6541, recall: 0.8325, relative_absolute_error: 0.9394, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.362, root_relative_squared_error: 0.9672, scimark_benchmark: 1757.2286, usercpu_time_millis: 420.614, usercpu_time_millis_testing: 11.884, usercpu_time_millis_training: 408.73,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6761, f_measure: 0.7551, kb_relative_information_score: -2605.3366, mean_absolute_error: 0.2655, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9478, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3635, root_relative_squared_error: 0.9714, scimark_benchmark: 1734.1487, usercpu_time_millis: 432.607, usercpu_time_millis_testing: 12.595, usercpu_time_millis_training: 420.012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6909, f_measure: 0.7709, kappa: 0.0661, kb_relative_information_score: -2823.2617, mean_absolute_error: 0.2604, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8, predictive_accuracy: 0.8346, prior_entropy: 0.6541, recall: 0.8346, relative_absolute_error: 0.9297, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3604, root_relative_squared_error: 0.963, scimark_benchmark: 1794.3316, usercpu_time_millis: 409.631, usercpu_time_millis_testing: 5.364, usercpu_time_millis_training: 404.267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6963, f_measure: 0.7677, kappa: 0.0524, kb_relative_information_score: -2231.6755, mean_absolute_error: 0.2599, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7977, predictive_accuracy: 0.8338, prior_entropy: 0.6541, recall: 0.8338, relative_absolute_error: 0.9278, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3598, root_relative_squared_error: 0.9613, scimark_benchmark: 1803.0179, usercpu_time_millis: 400.226, usercpu_time_millis_testing: 7.078, usercpu_time_millis_training: 393.148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6791, f_measure: 0.7703, kappa: 0.0648, kb_relative_information_score: -2855.1562, mean_absolute_error: 0.2589, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7809, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9241, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3639, root_relative_squared_error: 0.9723, scimark_benchmark: 1722.9957, usercpu_time_millis: 428.99, usercpu_time_millis_testing: 3.105, usercpu_time_millis_training: 425.885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6955, f_measure: 0.7587, kappa: 0.0149, kb_relative_information_score: -2311.7445, mean_absolute_error: 0.262, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7951, predictive_accuracy: 0.8322, prior_entropy: 0.6541, recall: 0.8322, relative_absolute_error: 0.9351, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3606, root_relative_squared_error: 0.9634, scimark_benchmark: 1782.5744, usercpu_time_millis: 350.107, usercpu_time_millis_testing: 10.526, usercpu_time_millis_training: 339.581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6935, f_measure: 0.7586, kappa: 0.0144, kb_relative_information_score: -2355.1121, mean_absolute_error: 0.263, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8078, predictive_accuracy: 0.8325, prior_entropy: 0.6541, recall: 0.8325, relative_absolute_error: 0.939, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3611, root_relative_squared_error: 0.9648, scimark_benchmark: 1738.6526, usercpu_time_millis: 382.706, usercpu_time_millis_testing: 14.875, usercpu_time_millis_training: 367.831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6836, f_measure: 0.7582, kappa: 0.0128, kb_relative_information_score: -2467.7022, mean_absolute_error: 0.2636, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7808, predictive_accuracy: 0.8317, prior_entropy: 0.6541, recall: 0.8317, relative_absolute_error: 0.9411, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3625, root_relative_squared_error: 0.9687, scimark_benchmark: 1716.4902, usercpu_time_millis: 338.148, usercpu_time_millis_testing: 7.647, usercpu_time_millis_training: 330.501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6667, f_measure: 0.7552, kappa: 0.0003, kb_relative_information_score: -3206.6436, mean_absolute_error: 0.2687, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7477, predictive_accuracy: 0.8315, prior_entropy: 0.6541, recall: 0.8315, relative_absolute_error: 0.9591, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3655, root_relative_squared_error: 0.9765, scimark_benchmark: 1712.1059, usercpu_time_millis: 365.36, usercpu_time_millis_testing: 13.876, usercpu_time_millis_training: 351.484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6899, f_measure: 0.7585, kappa: 0.0141, kb_relative_information_score: -2494.0242, mean_absolute_error: 0.2623, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7896, predictive_accuracy: 0.832, prior_entropy: 0.6541, recall: 0.832, relative_absolute_error: 0.9364, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3616, root_relative_squared_error: 0.9662, scimark_benchmark: 1760.7105, usercpu_time_millis: 379.683, usercpu_time_millis_testing: 8.596, usercpu_time_millis_training: 371.087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6894, f_measure: 0.7581, kappa: 0.0123, kb_relative_information_score: -2455.1633, mean_absolute_error: 0.263, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7942, predictive_accuracy: 0.8321, prior_entropy: 0.6541, recall: 0.8321, relative_absolute_error: 0.9388, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3616, root_relative_squared_error: 0.9663, scimark_benchmark: 1760.8206, usercpu_time_millis: 349.866, usercpu_time_millis_testing: 9.597, usercpu_time_millis_training: 340.269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6939, f_measure: 0.7554, kappa: 0.001, kb_relative_information_score: -2293.6119, mean_absolute_error: 0.2647, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7852, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9451, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3614, root_relative_squared_error: 0.9658, scimark_benchmark: 1705.9695, usercpu_time_millis: 277.266, usercpu_time_millis_testing: 11.095, usercpu_time_millis_training: 266.171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6896, f_measure: 0.7557, kappa: 0.0023, kb_relative_information_score: -2415.2801, mean_absolute_error: 0.2649, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7725, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9457, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.362, root_relative_squared_error: 0.9672, scimark_benchmark: 1756.2921, usercpu_time_millis: 314.599, usercpu_time_millis_testing: 17.756, usercpu_time_millis_training: 296.843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6958, f_measure: 0.7551, kb_relative_information_score: -1854.1905, mean_absolute_error: 0.2678, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.956, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3624, root_relative_squared_error: 0.9685, scimark_benchmark: 1812.3425, usercpu_time_millis: 323.959, usercpu_time_millis_testing: 19.708, usercpu_time_millis_training: 304.251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6966, f_measure: 0.7617, kappa: 0.0273, kb_relative_information_score: -2332.9891, mean_absolute_error: 0.2618, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8061, predictive_accuracy: 0.8332, prior_entropy: 0.6541, recall: 0.8332, relative_absolute_error: 0.9344, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3601, root_relative_squared_error: 0.9624, scimark_benchmark: 1725.3223, usercpu_time_millis: 247.898, usercpu_time_millis_testing: 7.804, usercpu_time_millis_training: 240.094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6888, f_measure: 0.7718, kappa: 0.0702, kb_relative_information_score: -3421.5118, mean_absolute_error: 0.2628, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7973, predictive_accuracy: 0.8344, prior_entropy: 0.6541, recall: 0.8344, relative_absolute_error: 0.9382, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3609, root_relative_squared_error: 0.9642, scimark_benchmark: 1788.9797, usercpu_time_millis: 313.464, usercpu_time_millis_testing: 7.645, usercpu_time_millis_training: 305.819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.693, f_measure: 0.7581, kappa: 0.0122, kb_relative_information_score: -2353.8419, mean_absolute_error: 0.2651, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8121, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9464, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3615, root_relative_squared_error: 0.9659, scimark_benchmark: 1758.9156, usercpu_time_millis: 221.595, usercpu_time_millis_testing: 17.493, usercpu_time_millis_training: 204.102,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6606, f_measure: 0.7551, kb_relative_information_score: -2699.7374, mean_absolute_error: 0.2734, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.976, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3678, root_relative_squared_error: 0.9827, scimark_benchmark: 1730.5401, usercpu_time_millis: 97.646, usercpu_time_millis_testing: 7.223, usercpu_time_millis_training: 90.423,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7551, kb_relative_information_score: -3.9488, mean_absolute_error: 0.2801, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1739.1148, usercpu_time_millis: 81.858, usercpu_time_millis_testing: 7.438, usercpu_time_millis_training: 74.42,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6749, f_measure: 0.7551, kb_relative_information_score: -1878.5496, mean_absolute_error: 0.273, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9747, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3668, root_relative_squared_error: 0.9802, scimark_benchmark: 1765.3697, usercpu_time_millis: 102.678, usercpu_time_millis_testing: 8.169, usercpu_time_millis_training: 94.509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6808, f_measure: 0.7579, kappa: 0.0113, kb_relative_information_score: -2395.1167, mean_absolute_error: 0.2643, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7859, predictive_accuracy: 0.8319, prior_entropy: 0.6541, recall: 0.8319, relative_absolute_error: 0.9436, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3628, root_relative_squared_error: 0.9694, scimark_benchmark: 1823.5214, usercpu_time_millis: 123.765, usercpu_time_millis_testing: 3.223, usercpu_time_millis_training: 120.542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6726, f_measure: 0.7551, kb_relative_information_score: -2685.1748, mean_absolute_error: 0.2714, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.969, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3661, root_relative_squared_error: 0.9782, scimark_benchmark: 1747.6779, usercpu_time_millis: 89.939, usercpu_time_millis_testing: 4.817, usercpu_time_millis_training: 85.122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6517, f_measure: 0.7551, kb_relative_information_score: -1806.4511, mean_absolute_error: 0.2758, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9845, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3696, root_relative_squared_error: 0.9875, scimark_benchmark: 1724.4096, usercpu_time_millis: 119.728, usercpu_time_millis_testing: 8.169, usercpu_time_millis_training: 111.559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6962, f_measure: 0.7683, kappa: 0.055, kb_relative_information_score: -2297.381, mean_absolute_error: 0.2596, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8004, predictive_accuracy: 0.8342, prior_entropy: 0.6541, recall: 0.8342, relative_absolute_error: 0.9268, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3596, root_relative_squared_error: 0.9608, scimark_benchmark: 1736.4563, usercpu_time_millis: 83.302, usercpu_time_millis_testing: 1.494, usercpu_time_millis_training: 81.808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6491, f_measure: 0.7551, kb_relative_information_score: -1046.5854, mean_absolute_error: 0.2776, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9911, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3712, root_relative_squared_error: 0.992, scimark_benchmark: 1739.5915, usercpu_time_millis: 83.226, usercpu_time_millis_testing: 6.073, usercpu_time_millis_training: 77.153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6873, f_measure: 0.7587, kappa: 0.0147, kb_relative_information_score: -2520.1662, mean_absolute_error: 0.2633, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7925, predictive_accuracy: 0.8321, prior_entropy: 0.6541, recall: 0.8321, relative_absolute_error: 0.94, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3619, root_relative_squared_error: 0.9671, scimark_benchmark: 1797.8054, usercpu_time_millis: 103.149, usercpu_time_millis_testing: 2.267, usercpu_time_millis_training: 100.882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6771, f_measure: 0.7551, kb_relative_information_score: -2882.3086, mean_absolute_error: 0.2674, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9545, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.364, root_relative_squared_error: 0.9726, scimark_benchmark: 1726.7094, usercpu_time_millis: 89.456, usercpu_time_millis_testing: 3.3, usercpu_time_millis_training: 86.156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6705, f_measure: 0.7551, kb_relative_information_score: -1758.1629, mean_absolute_error: 0.2741, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9786, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3678, root_relative_squared_error: 0.9828, scimark_benchmark: 1777.5426, usercpu_time_millis: 52.218, usercpu_time_millis_testing: 6.509, usercpu_time_millis_training: 45.709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6963, f_measure: 0.7578, kappa: 0.0112, kb_relative_information_score: -2223.1772, mean_absolute_error: 0.2634, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8174, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9403, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3607, root_relative_squared_error: 0.9638, scimark_benchmark: 1801.0407, usercpu_time_millis: 61.613, usercpu_time_millis_testing: 2.072, usercpu_time_millis_training: 59.541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6943, f_measure: 0.766, kappa: 0.0452, kb_relative_information_score: -2382.6278, mean_absolute_error: 0.2604, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7947, predictive_accuracy: 0.8333, prior_entropy: 0.6541, recall: 0.8333, relative_absolute_error: 0.9296, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3603, root_relative_squared_error: 0.9627, scimark_benchmark: 1751.2476, usercpu_time_millis: 63.902, usercpu_time_millis_testing: 0.842, usercpu_time_millis_training: 63.06,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7551, kb_relative_information_score: -20.507, mean_absolute_error: 0.2801, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1739.7522, usercpu_time_millis: 41.725, usercpu_time_millis_testing: 2.685, usercpu_time_millis_training: 39.04,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6584, f_measure: 0.7551, kb_relative_information_score: -3184.9444, mean_absolute_error: 0.2727, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9734, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3676, root_relative_squared_error: 0.9822, scimark_benchmark: 1786.4966, usercpu_time_millis: 45.388, usercpu_time_millis_testing: 3.149, usercpu_time_millis_training: 42.239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6416, f_measure: 0.7551, kb_relative_information_score: -2024.9984, mean_absolute_error: 0.2757, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9843, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3697, root_relative_squared_error: 0.988, scimark_benchmark: 1820.6978, usercpu_time_millis: 81.364, usercpu_time_millis_testing: 9.093, usercpu_time_millis_training: 72.271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6885, f_measure: 0.7669, kappa: 0.0492, kb_relative_information_score: -3064.2433, mean_absolute_error: 0.2629, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7954, predictive_accuracy: 0.8335, prior_entropy: 0.6541, recall: 0.8335, relative_absolute_error: 0.9386, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3608, root_relative_squared_error: 0.9642, scimark_benchmark: 1752.842, usercpu_time_millis: 61.534, usercpu_time_millis_testing: 1.822, usercpu_time_millis_training: 59.712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6939, f_measure: 0.76, kappa: 0.0202, kb_relative_information_score: -2394.0103, mean_absolute_error: 0.2619, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7992, predictive_accuracy: 0.8326, prior_entropy: 0.6541, recall: 0.8326, relative_absolute_error: 0.9351, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3608, root_relative_squared_error: 0.9641, scimark_benchmark: 1750.5604, usercpu_time_millis: 85.566, usercpu_time_millis_testing: 1.741, usercpu_time_millis_training: 83.825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7551, kb_relative_information_score: 0.0553, mean_absolute_error: 0.2801, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1741.0425, usercpu_time_millis: 39.662, usercpu_time_millis_testing: 6.838, usercpu_time_millis_training: 32.824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7551, kb_relative_information_score: -2.4587, mean_absolute_error: 0.2801, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1786.8902, usercpu_time_millis: 76.852, usercpu_time_millis_testing: 9.016, usercpu_time_millis_training: 67.836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7551, kb_relative_information_score: -3.1871, mean_absolute_error: 0.2801, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1791.4397, usercpu_time_millis: 47.329, usercpu_time_millis_testing: 5.601, usercpu_time_millis_training: 41.728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6792, f_measure: 0.7551, kb_relative_information_score: -2420.4112, mean_absolute_error: 0.2706, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.966, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3652, root_relative_squared_error: 0.9758, scimark_benchmark: 1718.2275, usercpu_time_millis: 38.259, usercpu_time_millis_testing: 1.502, usercpu_time_millis_training: 36.757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6969, f_measure: 0.7617, kappa: 0.0272, kb_relative_information_score: -2289.0492, mean_absolute_error: 0.2613, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.807, predictive_accuracy: 0.8332, prior_entropy: 0.6541, recall: 0.8332, relative_absolute_error: 0.9328, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.36, root_relative_squared_error: 0.9619, scimark_benchmark: 1715.5958, usercpu_time_millis: 58.456, usercpu_time_millis_testing: 1.281, usercpu_time_millis_training: 57.175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7551, kb_relative_information_score: -21.9227, mean_absolute_error: 0.2802, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1842.1882, usercpu_time_millis: 70.563, usercpu_time_millis_testing: 8.29, usercpu_time_millis_training: 62.273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6665, f_measure: 0.7551, kb_relative_information_score: -3172.4347, mean_absolute_error: 0.2689, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.96, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3654, root_relative_squared_error: 0.9765, scimark_benchmark: 1731.641, usercpu_time_millis: 31.526, usercpu_time_millis_testing: 0.937, usercpu_time_millis_training: 30.589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6807, f_measure: 0.7551, kb_relative_information_score: -2686.2804, mean_absolute_error: 0.2673, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9543, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3637, root_relative_squared_error: 0.9717, scimark_benchmark: 1786.2362, usercpu_time_millis: 46.736, usercpu_time_millis_testing: 1.4, usercpu_time_millis_training: 45.336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6715, f_measure: 0.7551, kb_relative_information_score: -3196.9208, mean_absolute_error: 0.2693, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9614, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3652, root_relative_squared_error: 0.9759, scimark_benchmark: 1715.0371, usercpu_time_millis: 13.616, usercpu_time_millis_testing: 0.779, usercpu_time_millis_training: 12.837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7551, kb_relative_information_score: -17.5873, mean_absolute_error: 0.2801, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1752.8694, usercpu_time_millis: 59.344, usercpu_time_millis_testing: 4.454, usercpu_time_millis_training: 54.89,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6719, f_measure: 0.7551, kb_relative_information_score: -1901.7667, mean_absolute_error: 0.2732, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9754, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3671, root_relative_squared_error: 0.9809, scimark_benchmark: 1720.9018, usercpu_time_millis: 20.273, usercpu_time_millis_testing: 1.05, usercpu_time_millis_training: 19.223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6717, f_measure: 0.7551, kb_relative_information_score: -2675.4598, mean_absolute_error: 0.2716, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9697, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3663, root_relative_squared_error: 0.9787, scimark_benchmark: 1755.3157, usercpu_time_millis: 60.816, usercpu_time_millis_testing: 6.104, usercpu_time_millis_training: 54.712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6827, f_measure: 0.7551, kb_relative_information_score: -2412.6712, mean_absolute_error: 0.2693, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9614, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3643, root_relative_squared_error: 0.9734, scimark_benchmark: 1725.3223, usercpu_time_millis: 68.234, usercpu_time_millis_testing: 3.074, usercpu_time_millis_training: 65.16,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7551, kb_relative_information_score: 1.1508, mean_absolute_error: 0.2801, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1750.4015, usercpu_time_millis: 46.303, usercpu_time_millis_testing: 7.895, usercpu_time_millis_training: 38.408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6727, f_measure: 0.7551, kappa: -0, kb_relative_information_score: -3088.9178, mean_absolute_error: 0.2679, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7196, predictive_accuracy: 0.8315, prior_entropy: 0.6541, recall: 0.8315, relative_absolute_error: 0.9563, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3646, root_relative_squared_error: 0.9742, scimark_benchmark: 1771.5087, usercpu_time_millis: 31.855, usercpu_time_millis_testing: 1, usercpu_time_millis_training: 30.855,

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

OpenML APIs