OpenML
Supervised Classification on Click_prediction_small

Supervised Classification on Click_prediction_small

Task 7295 Supervised Classification Click_prediction_small 39610 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: 0.6979, 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: 1732.4702, total_cost: 672800, usercpu_time_millis: 36.911, usercpu_time_millis_testing: 6.578, usercpu_time_millis_training: 30.333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -4.012, 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: 1773.1939, total_cost: 672800, usercpu_time_millis: 13.041, usercpu_time_millis_testing: 1.803, usercpu_time_millis_training: 11.238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.659, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -2595.4694, mean_absolute_error: 0.2737, 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: 0.9771, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.368, root_relative_squared_error: 0.9832, scimark_benchmark: 1739.2901, total_cost: 672800, usercpu_time_millis: 121.914, usercpu_time_millis_testing: 6.286, usercpu_time_millis_training: 115.628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6562, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -1400.0828, mean_absolute_error: 0.2763, 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: 0.9864, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3699, root_relative_squared_error: 0.9884, scimark_benchmark: 1753.1332, total_cost: 672800, usercpu_time_millis: 28.063, usercpu_time_millis_testing: 2.544, usercpu_time_millis_training: 25.519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6934, average_cost: 16.0869, f_measure: 0.7709, kappa: 0.066, kb_relative_information_score: -2478.4207, mean_absolute_error: 0.2589, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7996, predictive_accuracy: 0.8345, prior_entropy: 0.6541, recall: 0.8345, relative_absolute_error: 0.9243, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.36, root_relative_squared_error: 0.9619, scimark_benchmark: 1742.7533, total_cost: 642640, usercpu_time_millis: 752.474, usercpu_time_millis_testing: 9.305, usercpu_time_millis_training: 743.169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6872, average_cost: 16.8224, f_measure: 0.7555, kappa: 0.0016, kb_relative_information_score: -2451.7943, mean_absolute_error: 0.2644, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7638, predictive_accuracy: 0.8315, prior_entropy: 0.6541, recall: 0.8315, relative_absolute_error: 0.9437, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3621, root_relative_squared_error: 0.9677, scimark_benchmark: 1728.3503, total_cost: 672020, usercpu_time_millis: 741.459, usercpu_time_millis_testing: 29.092, usercpu_time_millis_training: 712.367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6904, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -2340.1845, mean_absolute_error: 0.2664, 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: 0.951, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3624, root_relative_squared_error: 0.9683, scimark_benchmark: 1774.7106, total_cost: 672800, usercpu_time_millis: 168.364, usercpu_time_millis_testing: 8.282, usercpu_time_millis_training: 160.082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6844, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -2523.5496, mean_absolute_error: 0.266, 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: 0.9496, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3629, root_relative_squared_error: 0.9696, scimark_benchmark: 1772.9132, total_cost: 672800, usercpu_time_millis: 167.037, usercpu_time_millis_testing: 6.265, usercpu_time_millis_training: 160.772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6876, average_cost: 16.5478, f_measure: 0.7616, kappa: 0.0266, kb_relative_information_score: -2631.2804, mean_absolute_error: 0.2632, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7987, predictive_accuracy: 0.8328, prior_entropy: 0.6541, recall: 0.8328, relative_absolute_error: 0.9396, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3618, root_relative_squared_error: 0.9667, scimark_benchmark: 1756.8244, total_cost: 661050, usercpu_time_millis: 166.206, usercpu_time_millis_testing: 3.218, usercpu_time_millis_training: 162.988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6896, average_cost: 16.3365, f_measure: 0.7659, kappa: 0.0448, kb_relative_information_score: -2838.0446, mean_absolute_error: 0.2623, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7967, predictive_accuracy: 0.8335, prior_entropy: 0.6541, recall: 0.8335, relative_absolute_error: 0.9364, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3609, root_relative_squared_error: 0.9643, scimark_benchmark: 1724.8345, total_cost: 652610, usercpu_time_millis: 146.833, usercpu_time_millis_testing: 2.703, usercpu_time_millis_training: 144.13,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6983, average_cost: 16.7177, f_measure: 0.758, kappa: 0.0118, kb_relative_information_score: -1727.7474, mean_absolute_error: 0.2667, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8245, predictive_accuracy: 0.8325, prior_entropy: 0.6541, recall: 0.8325, relative_absolute_error: 0.952, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3615, root_relative_squared_error: 0.9659, scimark_benchmark: 1881.0127, total_cost: 667840, usercpu_time_millis: 81.959, usercpu_time_millis_testing: 4.065, usercpu_time_millis_training: 77.894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6479, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -1868.619, 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: 0.3697, root_relative_squared_error: 0.9879, scimark_benchmark: 1737.1396, total_cost: 672800, usercpu_time_millis: 56.283, usercpu_time_millis_testing: 6.955, usercpu_time_millis_training: 49.328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.654, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -3668.4175, mean_absolute_error: 0.2724, 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: 0.9725, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.368, root_relative_squared_error: 0.9834, scimark_benchmark: 1894.0352, total_cost: 672800, usercpu_time_millis: 57.884, usercpu_time_millis_testing: 4.993, usercpu_time_millis_training: 52.891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6942, average_cost: 16.7132, f_measure: 0.758, kappa: 0.0117, kb_relative_information_score: -2358.2749, mean_absolute_error: 0.2625, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7941, predictive_accuracy: 0.8321, prior_entropy: 0.6541, recall: 0.8321, relative_absolute_error: 0.9373, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3609, root_relative_squared_error: 0.9644, scimark_benchmark: 1847.7988, total_cost: 667660, usercpu_time_millis: 559.93, usercpu_time_millis_testing: 17.247, usercpu_time_millis_training: 542.683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -0.5604, 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: 0.9998, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1880.941, total_cost: 672800, usercpu_time_millis: 14.557, usercpu_time_millis_testing: 2.048, usercpu_time_millis_training: 12.509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6955, average_cost: 16.1347, f_measure: 0.77, kappa: 0.0622, kb_relative_information_score: -2233.0306, mean_absolute_error: 0.2585, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8005, predictive_accuracy: 0.8345, prior_entropy: 0.6541, recall: 0.8345, relative_absolute_error: 0.923, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3596, root_relative_squared_error: 0.961, scimark_benchmark: 1728.0111, total_cost: 644550, usercpu_time_millis: 875.342, usercpu_time_millis_testing: 11.589, usercpu_time_millis_training: 863.753,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -50.7784, 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: 1.0002, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1721.1862, total_cost: 672800, usercpu_time_millis: 7.876, usercpu_time_millis_testing: 0.512, usercpu_time_millis_training: 7.364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6923, average_cost: 16.5488, f_measure: 0.7616, kappa: 0.0267, kb_relative_information_score: -2438.4681, mean_absolute_error: 0.2614, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8016, predictive_accuracy: 0.833, prior_entropy: 0.6541, recall: 0.833, relative_absolute_error: 0.9333, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3609, root_relative_squared_error: 0.9643, scimark_benchmark: 1943.8147, total_cost: 661090, usercpu_time_millis: 500.13, usercpu_time_millis_testing: 9.865, usercpu_time_millis_training: 490.265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6962, average_cost: 16.4484, f_measure: 0.7636, kappa: 0.0352, kb_relative_information_score: -2256.2549, mean_absolute_error: 0.2601, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7966, predictive_accuracy: 0.8331, prior_entropy: 0.6541, recall: 0.8331, relative_absolute_error: 0.9286, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.36, root_relative_squared_error: 0.9621, scimark_benchmark: 1720.4445, total_cost: 657080, usercpu_time_millis: 798.731, usercpu_time_millis_testing: 14.715, usercpu_time_millis_training: 784.016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6903, average_cost: 16.5863, f_measure: 0.7608, kappa: 0.0234, kb_relative_information_score: -2465.2318, mean_absolute_error: 0.2628, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8021, predictive_accuracy: 0.8328, prior_entropy: 0.6541, recall: 0.8328, relative_absolute_error: 0.9382, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3614, root_relative_squared_error: 0.9658, scimark_benchmark: 1751.2223, total_cost: 662590, usercpu_time_millis: 201.661, usercpu_time_millis_testing: 7.261, usercpu_time_millis_training: 194.4,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6827, average_cost: 16.7383, f_measure: 0.7573, kappa: 0.009, kb_relative_information_score: -2481.1037, mean_absolute_error: 0.264, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7764, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9426, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3626, root_relative_squared_error: 0.969, scimark_benchmark: 1821.3358, total_cost: 668660, usercpu_time_millis: 168.567, usercpu_time_millis_testing: 3.128, usercpu_time_millis_training: 165.439,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6919, average_cost: 16.6584, f_measure: 0.7592, kappa: 0.017, kb_relative_information_score: -2389.7709, mean_absolute_error: 0.2627, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8065, predictive_accuracy: 0.8326, prior_entropy: 0.6541, recall: 0.8326, relative_absolute_error: 0.938, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3613, root_relative_squared_error: 0.9653, scimark_benchmark: 1847.289, total_cost: 665470, usercpu_time_millis: 417.264, usercpu_time_millis_testing: 14.343, usercpu_time_millis_training: 402.921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6825, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -1976.3472, mean_absolute_error: 0.271, 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: 0.9673, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3652, root_relative_squared_error: 0.9758, scimark_benchmark: 1813.3112, total_cost: 672800, usercpu_time_millis: 18.789, usercpu_time_millis_testing: 0.99, usercpu_time_millis_training: 17.799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6733, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -1935.8035, mean_absolute_error: 0.2729, 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: 0.9742, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3668, root_relative_squared_error: 0.9801, scimark_benchmark: 2124.4421, total_cost: 672800, usercpu_time_millis: 7.885, usercpu_time_millis_testing: 0.5, usercpu_time_millis_training: 7.385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6867, average_cost: 16.8266, f_measure: 0.7554, kappa: 0.0013, kb_relative_information_score: -2478.466, mean_absolute_error: 0.265, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7653, predictive_accuracy: 0.8315, prior_entropy: 0.6541, recall: 0.8315, relative_absolute_error: 0.9461, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3623, root_relative_squared_error: 0.9682, scimark_benchmark: 1739.7017, total_cost: 672190, usercpu_time_millis: 338.762, usercpu_time_millis_testing: 13.412, usercpu_time_millis_training: 325.35,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6925, average_cost: 16.6204, f_measure: 0.7599, kappa: 0.0199, kb_relative_information_score: -2425.1418, mean_absolute_error: 0.2616, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7929, predictive_accuracy: 0.8323, prior_entropy: 0.6541, recall: 0.8323, relative_absolute_error: 0.9339, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.361, root_relative_squared_error: 0.9648, scimark_benchmark: 1799.5884, total_cost: 663950, usercpu_time_millis: 300.645, usercpu_time_millis_testing: 5.309, usercpu_time_millis_training: 295.336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6862, average_cost: 16.8221, f_measure: 0.7555, kappa: 0.0017, kb_relative_information_score: -2485.7525, mean_absolute_error: 0.2652, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7674, predictive_accuracy: 0.8315, prior_entropy: 0.6541, recall: 0.8315, relative_absolute_error: 0.9468, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3624, root_relative_squared_error: 0.9684, scimark_benchmark: 1768.8383, total_cost: 672010, usercpu_time_millis: 286.052, usercpu_time_millis_testing: 14.722, usercpu_time_millis_training: 271.33,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6693, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -2977.3833, mean_absolute_error: 0.2695, 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: 0.9622, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3654, root_relative_squared_error: 0.9763, scimark_benchmark: 1720.889, total_cost: 672800, usercpu_time_millis: 201.629, usercpu_time_millis_testing: 9.735, usercpu_time_millis_training: 191.894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6861, average_cost: 16.6802, f_measure: 0.7587, kappa: 0.015, kb_relative_information_score: -2483.4941, mean_absolute_error: 0.2644, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8049, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9439, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3622, root_relative_squared_error: 0.9679, scimark_benchmark: 1741.046, total_cost: 666340, usercpu_time_millis: 190.718, usercpu_time_millis_testing: 9.043, usercpu_time_millis_training: 181.675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6756, average_cost: 15.5813, f_measure: 0.7783, kappa: 0.1005, kb_relative_information_score: -4050.5768, mean_absolute_error: 0.2621, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7862, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9355, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3646, root_relative_squared_error: 0.9743, scimark_benchmark: 1852.9988, total_cost: 622440, usercpu_time_millis: 185.158, usercpu_time_millis_testing: 1.768, usercpu_time_millis_training: 183.39,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6725, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -2305.7697, mean_absolute_error: 0.2722, 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: 0.9718, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3665, root_relative_squared_error: 0.9793, scimark_benchmark: 1790.4084, total_cost: 672800, usercpu_time_millis: 85.352, usercpu_time_millis_testing: 5.804, usercpu_time_millis_training: 79.548,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -24.4792, 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: 1736.9416, total_cost: 672800, usercpu_time_millis: 69.574, usercpu_time_millis_testing: 4.966, usercpu_time_millis_training: 64.608,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6879, average_cost: 16.6294, f_measure: 0.7595, kappa: 0.0183, kb_relative_information_score: -2674.2976, mean_absolute_error: 0.2615, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7784, predictive_accuracy: 0.8317, prior_entropy: 0.6541, recall: 0.8317, relative_absolute_error: 0.9336, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3619, root_relative_squared_error: 0.9671, scimark_benchmark: 1798.9452, total_cost: 664310, usercpu_time_millis: 533.735, usercpu_time_millis_testing: 5.714, usercpu_time_millis_training: 528.021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6877, average_cost: 16.5443, f_measure: 0.7616, kappa: 0.0268, kb_relative_information_score: -2854.2226, mean_absolute_error: 0.2634, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7963, predictive_accuracy: 0.8327, prior_entropy: 0.6541, recall: 0.8327, relative_absolute_error: 0.9404, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3615, root_relative_squared_error: 0.9661, scimark_benchmark: 1797.7709, total_cost: 660910, usercpu_time_millis: 416.757, usercpu_time_millis_testing: 17.118, usercpu_time_millis_training: 399.639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.657, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -3140.6247, mean_absolute_error: 0.2729, 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: 0.9742, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3677, root_relative_squared_error: 0.9826, scimark_benchmark: 1705.5212, total_cost: 672800, usercpu_time_millis: 120.418, usercpu_time_millis_testing: 5.536, usercpu_time_millis_training: 114.882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6856, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -1965.522, mean_absolute_error: 0.2705, 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: 0.9658, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3648, root_relative_squared_error: 0.9747, scimark_benchmark: 1724.0704, total_cost: 672800, usercpu_time_millis: 92.342, usercpu_time_millis_testing: 5.589, usercpu_time_millis_training: 86.753,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6344, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -2091.3017, mean_absolute_error: 0.2759, 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: 0.985, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3699, root_relative_squared_error: 0.9885, scimark_benchmark: 1730.5828, total_cost: 672800, usercpu_time_millis: 36.67, usercpu_time_millis_testing: 2.227, usercpu_time_millis_training: 34.443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -14.1348, 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: 1738.3459, total_cost: 672800, usercpu_time_millis: 19.242, usercpu_time_millis_testing: 1.52, usercpu_time_millis_training: 17.722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -78.4297, 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: 1792.0316, total_cost: 672800, usercpu_time_millis: 3.992, usercpu_time_millis_testing: 0.298, usercpu_time_millis_training: 3.694,

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

Using your favorite machine learning environment

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

OpenML bootcamp

From your own software

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

OpenML APIs