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: 0.646, f_measure: 0.7551, kb_relative_information_score: -2103.0968, mean_absolute_error: 0.2752, 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: 0.9826, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3693, root_relative_squared_error: 0.9868, scimark_benchmark: 1850.2875, usercpu_time_millis: 16.692, usercpu_time_millis_testing: 1.556, usercpu_time_millis_training: 15.136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6884, f_measure: 0.7649, kappa: 0.0405, kb_relative_information_score: -2729.2305, mean_absolute_error: 0.2614, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7972, predictive_accuracy: 0.8333, prior_entropy: 0.6541, recall: 0.8333, relative_absolute_error: 0.9331, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3612, root_relative_squared_error: 0.9651, scimark_benchmark: 1836.4861, usercpu_time_millis: 13.358, usercpu_time_millis_testing: 0.324, usercpu_time_millis_training: 13.034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.657, f_measure: 0.7551, kb_relative_information_score: -3627.8988, mean_absolute_error: 0.2718, 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: 0.9702, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3674, root_relative_squared_error: 0.9817, scimark_benchmark: 1850.9039, usercpu_time_millis: 16.13, usercpu_time_millis_testing: 0.868, usercpu_time_millis_training: 15.262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6936, f_measure: 0.7554, kappa: 0.0011, kb_relative_information_score: -1914.0047, mean_absolute_error: 0.268, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8119, predictive_accuracy: 0.8317, prior_entropy: 0.6541, recall: 0.8317, relative_absolute_error: 0.9568, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3625, root_relative_squared_error: 0.9687, scimark_benchmark: 1859.1356, usercpu_time_millis: 13.971, usercpu_time_millis_testing: 0.801, usercpu_time_millis_training: 13.17,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6831, f_measure: 0.7605, kappa: 0.0223, kb_relative_information_score: -2599.5258, mean_absolute_error: 0.2644, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7971, predictive_accuracy: 0.8326, prior_entropy: 0.6541, recall: 0.8326, relative_absolute_error: 0.9437, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3625, root_relative_squared_error: 0.9686, scimark_benchmark: 1821.405, usercpu_time_millis: 32.158, usercpu_time_millis_testing: 1.249, usercpu_time_millis_training: 30.909,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7551, kb_relative_information_score: -12.9912, 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: 1848.388, usercpu_time_millis: 13.615, usercpu_time_millis_testing: 1.34, usercpu_time_millis_training: 12.275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7551, kb_relative_information_score: -35.089, 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: 1849.7232, usercpu_time_millis: 2.247, usercpu_time_millis_testing: 0.235, usercpu_time_millis_training: 2.012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6502, f_measure: 0.7783, kappa: 0.1088, kb_relative_information_score: -4822.8426, mean_absolute_error: 0.2586, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7695, predictive_accuracy: 0.8232, prior_entropy: 0.6541, recall: 0.8232, relative_absolute_error: 0.9231, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3745, root_relative_squared_error: 1.0007, scimark_benchmark: 1809.5152, usercpu_time_millis: 10.222, usercpu_time_millis_testing: 0.137, usercpu_time_millis_training: 10.085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.649, f_measure: 0.7551, kb_relative_information_score: -1821.0306, 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: 0.9847, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3697, root_relative_squared_error: 0.9877, scimark_benchmark: 1780.9961, usercpu_time_millis: 16.438, usercpu_time_millis_testing: 1.139, usercpu_time_millis_training: 15.299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7551, kb_relative_information_score: -31.3323, 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: 1837.1204, usercpu_time_millis: 3.181, usercpu_time_millis_testing: 0.359, usercpu_time_millis_training: 2.822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6919, f_measure: 0.7694, kappa: 0.0598, kb_relative_information_score: -2361.5615, mean_absolute_error: 0.2597, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7936, predictive_accuracy: 0.8336, prior_entropy: 0.6541, recall: 0.8336, relative_absolute_error: 0.9272, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3608, root_relative_squared_error: 0.9641, scimark_benchmark: 1856.5802, usercpu_time_millis: 839.074, usercpu_time_millis_testing: 10.878, usercpu_time_millis_training: 828.196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6778, f_measure: 0.7593, kappa: 0.0175, kb_relative_information_score: -2799.5109, mean_absolute_error: 0.2633, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7687, predictive_accuracy: 0.8311, prior_entropy: 0.6541, recall: 0.8311, relative_absolute_error: 0.9399, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3634, root_relative_squared_error: 0.9711, scimark_benchmark: 1843.7091, usercpu_time_millis: 741.815, usercpu_time_millis_testing: 13.92, usercpu_time_millis_training: 727.895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6844, f_measure: 0.7581, kappa: 0.0124, kb_relative_information_score: -2474.6777, mean_absolute_error: 0.2634, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.778, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9403, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3624, root_relative_squared_error: 0.9685, scimark_benchmark: 1772.8482, usercpu_time_millis: 566.15, usercpu_time_millis_testing: 11.834, usercpu_time_millis_training: 554.316,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6885, f_measure: 0.7599, kappa: 0.02, kb_relative_information_score: -2522.4256, mean_absolute_error: 0.2626, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7936, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9375, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3618, root_relative_squared_error: 0.9668, scimark_benchmark: 1848.916, usercpu_time_millis: 578.514, usercpu_time_millis_testing: 15.867, usercpu_time_millis_training: 562.647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6903, f_measure: 0.7581, kappa: 0.0121, kb_relative_information_score: -2488.4137, mean_absolute_error: 0.2628, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7802, predictive_accuracy: 0.8317, prior_entropy: 0.6541, recall: 0.8317, relative_absolute_error: 0.938, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3615, root_relative_squared_error: 0.9661, scimark_benchmark: 1826.2834, usercpu_time_millis: 577.418, usercpu_time_millis_testing: 16.811, usercpu_time_millis_training: 560.607,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6968, f_measure: 0.7593, kappa: 0.0171, kb_relative_information_score: -2296.8211, mean_absolute_error: 0.2617, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8009, predictive_accuracy: 0.8325, prior_entropy: 0.6541, recall: 0.8325, relative_absolute_error: 0.9342, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3603, root_relative_squared_error: 0.9628, scimark_benchmark: 1856.1949, usercpu_time_millis: 497.935, usercpu_time_millis_testing: 16.894, usercpu_time_millis_training: 481.041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6933, f_measure: 0.7689, kappa: 0.0577, kb_relative_information_score: -2602.9084, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7973, predictive_accuracy: 0.834, prior_entropy: 0.6541, recall: 0.834, relative_absolute_error: 0.9309, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3601, root_relative_squared_error: 0.9622, scimark_benchmark: 1842.7957, usercpu_time_millis: 498.825, usercpu_time_millis_testing: 9.845, usercpu_time_millis_training: 488.98,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6826, f_measure: 0.7581, kappa: 0.0123, kb_relative_information_score: -2400.2463, mean_absolute_error: 0.2638, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.786, predictive_accuracy: 0.8319, prior_entropy: 0.6541, recall: 0.8319, relative_absolute_error: 0.9419, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3626, root_relative_squared_error: 0.969, scimark_benchmark: 1820.3518, usercpu_time_millis: 502.534, usercpu_time_millis_testing: 12.772, usercpu_time_millis_training: 489.762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6907, f_measure: 0.7608, kappa: 0.0236, kb_relative_information_score: -2535.0995, mean_absolute_error: 0.262, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7977, predictive_accuracy: 0.8327, prior_entropy: 0.6541, recall: 0.8327, relative_absolute_error: 0.9354, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3614, root_relative_squared_error: 0.9656, scimark_benchmark: 1841.8022, usercpu_time_millis: 459.825, usercpu_time_millis_testing: 9.645, usercpu_time_millis_training: 450.18,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6857, f_measure: 0.7576, kappa: 0.0103, kb_relative_information_score: -2496.7858, mean_absolute_error: 0.2635, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7858, predictive_accuracy: 0.8318, prior_entropy: 0.6541, recall: 0.8318, relative_absolute_error: 0.9408, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3622, root_relative_squared_error: 0.9679, scimark_benchmark: 1763.1467, usercpu_time_millis: 460.556, usercpu_time_millis_testing: 12.769, usercpu_time_millis_training: 447.787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6942, f_measure: 0.7689, kappa: 0.0577, kb_relative_information_score: -2419.8496, mean_absolute_error: 0.2603, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7973, predictive_accuracy: 0.834, prior_entropy: 0.6541, recall: 0.834, relative_absolute_error: 0.9293, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.36, root_relative_squared_error: 0.962, scimark_benchmark: 1768.8304, usercpu_time_millis: 444.104, usercpu_time_millis_testing: 8.294, usercpu_time_millis_training: 435.81,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6928, f_measure: 0.769, kappa: 0.058, kb_relative_information_score: -2446.1208, mean_absolute_error: 0.2607, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7975, predictive_accuracy: 0.834, prior_entropy: 0.6541, recall: 0.834, relative_absolute_error: 0.9308, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3604, root_relative_squared_error: 0.9629, scimark_benchmark: 1856.0123, usercpu_time_millis: 361.352, usercpu_time_millis_testing: 5.292, usercpu_time_millis_training: 356.06,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6877, f_measure: 0.7725, kappa: 0.0731, kb_relative_information_score: -3426.6257, mean_absolute_error: 0.2625, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7958, predictive_accuracy: 0.8343, prior_entropy: 0.6541, recall: 0.8343, relative_absolute_error: 0.9372, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3611, root_relative_squared_error: 0.9648, scimark_benchmark: 1854.4951, usercpu_time_millis: 345.376, usercpu_time_millis_testing: 5.71, usercpu_time_millis_training: 339.666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6873, f_measure: 0.7616, kappa: 0.0268, kb_relative_information_score: -2599.2983, mean_absolute_error: 0.2634, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8034, predictive_accuracy: 0.833, prior_entropy: 0.6541, recall: 0.833, relative_absolute_error: 0.9402, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3618, root_relative_squared_error: 0.9669, scimark_benchmark: 1853.454, usercpu_time_millis: 334.774, usercpu_time_millis_testing: 11.232, usercpu_time_millis_training: 323.542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6942, f_measure: 0.7614, kappa: 0.026, kb_relative_information_score: -2412.3772, mean_absolute_error: 0.262, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8012, predictive_accuracy: 0.8329, prior_entropy: 0.6541, recall: 0.8329, relative_absolute_error: 0.9352, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3606, root_relative_squared_error: 0.9635, scimark_benchmark: 1827.3598, usercpu_time_millis: 331.093, usercpu_time_millis_testing: 12.105, usercpu_time_millis_training: 318.988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6869, f_measure: 0.7597, kappa: 0.019, kb_relative_information_score: -2745.272, mean_absolute_error: 0.2618, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7717, predictive_accuracy: 0.8312, prior_entropy: 0.6541, recall: 0.8312, relative_absolute_error: 0.9345, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3622, root_relative_squared_error: 0.9679, scimark_benchmark: 1856.7109, usercpu_time_millis: 359.679, usercpu_time_millis_testing: 4.618, usercpu_time_millis_training: 355.061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6803, f_measure: 0.7572, kappa: 0.0085, kb_relative_information_score: -2493.1986, mean_absolute_error: 0.2648, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7942, predictive_accuracy: 0.8319, prior_entropy: 0.6541, recall: 0.8319, relative_absolute_error: 0.9454, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3629, root_relative_squared_error: 0.9698, scimark_benchmark: 1768.5117, usercpu_time_millis: 311.959, usercpu_time_millis_testing: 11.957, usercpu_time_millis_training: 300.002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6952, f_measure: 0.7625, kappa: 0.0305, kb_relative_information_score: -2557.5634, mean_absolute_error: 0.2627, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7998, predictive_accuracy: 0.8331, prior_entropy: 0.6541, recall: 0.8331, relative_absolute_error: 0.9377, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3602, root_relative_squared_error: 0.9625, scimark_benchmark: 1851.4874, usercpu_time_millis: 312.956, usercpu_time_millis_testing: 16.3, usercpu_time_millis_training: 296.656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6863, f_measure: 0.7551, kappa: 0, kb_relative_information_score: -2474.9863, mean_absolute_error: 0.2652, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7252, 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: 0.9685, scimark_benchmark: 1853.9121, usercpu_time_millis: 256.499, usercpu_time_millis_testing: 11.704, usercpu_time_millis_training: 244.795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6955, f_measure: 0.7585, kappa: 0.0138, kb_relative_information_score: -2315.4122, mean_absolute_error: 0.2619, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7873, predictive_accuracy: 0.832, prior_entropy: 0.6541, recall: 0.832, relative_absolute_error: 0.935, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3606, root_relative_squared_error: 0.9635, scimark_benchmark: 1894.3919, usercpu_time_millis: 264.526, usercpu_time_millis_testing: 7.778, usercpu_time_millis_training: 256.748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6944, f_measure: 0.7693, kappa: 0.0593, kb_relative_information_score: -2321.1263, mean_absolute_error: 0.2594, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7959, predictive_accuracy: 0.8339, prior_entropy: 0.6541, recall: 0.8339, relative_absolute_error: 0.9262, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3599, root_relative_squared_error: 0.9618, scimark_benchmark: 1847.7335, usercpu_time_millis: 272.196, usercpu_time_millis_testing: 3.28, usercpu_time_millis_training: 268.916,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6887, f_measure: 0.7552, kappa: 0.0004, kb_relative_information_score: -2434.2088, mean_absolute_error: 0.2654, 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: 0.9473, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3622, root_relative_squared_error: 0.9678, scimark_benchmark: 1824.5084, usercpu_time_millis: 250.544, usercpu_time_millis_testing: 14.033, usercpu_time_millis_training: 236.511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6908, f_measure: 0.7551, kb_relative_information_score: -2329.3766, mean_absolute_error: 0.2662, 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: 0.9502, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3623, root_relative_squared_error: 0.968, scimark_benchmark: 1813.1745, usercpu_time_millis: 247.055, usercpu_time_millis_testing: 13.123, usercpu_time_millis_training: 233.932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6806, f_measure: 0.7555, kappa: 0.0014, kb_relative_information_score: -2479.2842, mean_absolute_error: 0.265, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7758, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9461, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.363, root_relative_squared_error: 0.97, scimark_benchmark: 1837.3841, usercpu_time_millis: 222.249, usercpu_time_millis_testing: 7.166, usercpu_time_millis_training: 215.083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6756, f_measure: 0.7551, kb_relative_information_score: -2821.9408, mean_absolute_error: 0.2682, 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: 0.9576, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3644, root_relative_squared_error: 0.9738, scimark_benchmark: 1858.6076, usercpu_time_millis: 243.38, usercpu_time_millis_testing: 12.424, usercpu_time_millis_training: 230.956,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6454, f_measure: 0.7551, kb_relative_information_score: -1885.7382, 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: 0.9849, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3698, root_relative_squared_error: 0.9881, scimark_benchmark: 1855.0232, usercpu_time_millis: 75.85, usercpu_time_millis_testing: 8.972, usercpu_time_millis_training: 66.878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6234, f_measure: 0.7551, kb_relative_information_score: -2200.5356, 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: 0.9851, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3701, root_relative_squared_error: 0.9888, scimark_benchmark: 1850.2875, usercpu_time_millis: 87.389, usercpu_time_millis_testing: 8.469, usercpu_time_millis_training: 78.92,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6047, f_measure: 0.7551, kb_relative_information_score: -3859.6403, mean_absolute_error: 0.2762, 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: 0.986, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3713, root_relative_squared_error: 0.992, scimark_benchmark: 1827.8961, usercpu_time_millis: 91.99, usercpu_time_millis_testing: 7.904, usercpu_time_millis_training: 84.086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7551, kb_relative_information_score: -23.4898, 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: 1844.8101, usercpu_time_millis: 79.173, usercpu_time_millis_testing: 6.657, usercpu_time_millis_training: 72.516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7551, kb_relative_information_score: -24.4741, 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: 1832.0698, usercpu_time_millis: 92.526, usercpu_time_millis_testing: 8.386, usercpu_time_millis_training: 84.14,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6396, f_measure: 0.7551, kb_relative_information_score: -2051.4707, 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: 0.9841, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3697, root_relative_squared_error: 0.9878, scimark_benchmark: 1852.4707, usercpu_time_millis: 87.575, usercpu_time_millis_testing: 9.071, usercpu_time_millis_training: 78.504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6438, f_measure: 0.7551, kb_relative_information_score: -1989.11, 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: 0.9878, scimark_benchmark: 1832.7956, usercpu_time_millis: 86.59, usercpu_time_millis_testing: 6.947, usercpu_time_millis_training: 79.643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6921, f_measure: 0.7568, kappa: 0.0069, kb_relative_information_score: -2377.6382, mean_absolute_error: 0.2637, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7895, predictive_accuracy: 0.8318, prior_entropy: 0.6541, recall: 0.8318, relative_absolute_error: 0.9413, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3614, root_relative_squared_error: 0.9657, scimark_benchmark: 1851.3287, usercpu_time_millis: 87.996, usercpu_time_millis_testing: 2.501, usercpu_time_millis_training: 85.495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6878, f_measure: 0.7617, kappa: 0.0271, kb_relative_information_score: -2683.9037, mean_absolute_error: 0.2635, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8017, predictive_accuracy: 0.833, prior_entropy: 0.6541, recall: 0.833, relative_absolute_error: 0.9407, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3617, root_relative_squared_error: 0.9664, scimark_benchmark: 1795.6913, usercpu_time_millis: 80.255, usercpu_time_millis_testing: 2.463, usercpu_time_millis_training: 77.792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6784, f_measure: 0.7568, kappa: 0.0071, kb_relative_information_score: -2689.3068, mean_absolute_error: 0.2654, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7875, predictive_accuracy: 0.8318, prior_entropy: 0.6541, recall: 0.8318, relative_absolute_error: 0.9476, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3632, root_relative_squared_error: 0.9706, scimark_benchmark: 1835.5512, usercpu_time_millis: 90.737, usercpu_time_millis_testing: 3.4, usercpu_time_millis_training: 87.337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6817, f_measure: 0.7554, kappa: 0.0012, kb_relative_information_score: -2665.4121, mean_absolute_error: 0.2657, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7502, predictive_accuracy: 0.8314, prior_entropy: 0.6541, recall: 0.8314, relative_absolute_error: 0.9487, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.363, root_relative_squared_error: 0.97, scimark_benchmark: 1838.6751, usercpu_time_millis: 95.381, usercpu_time_millis_testing: 4.257, usercpu_time_millis_training: 91.124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6346, f_measure: 0.7551, kb_relative_information_score: -2143.8278, 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: 0.3698, root_relative_squared_error: 0.9882, scimark_benchmark: 1845.9141, usercpu_time_millis: 107.159, usercpu_time_millis_testing: 9.162, usercpu_time_millis_training: 97.997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6943, f_measure: 0.7624, kappa: 0.0303, kb_relative_information_score: -2613.0361, mean_absolute_error: 0.2629, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8021, predictive_accuracy: 0.8332, prior_entropy: 0.6541, recall: 0.8332, relative_absolute_error: 0.9385, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3604, root_relative_squared_error: 0.963, scimark_benchmark: 1852.5406, usercpu_time_millis: 69.42, usercpu_time_millis_testing: 2.923, usercpu_time_millis_training: 66.497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6877, f_measure: 0.7693, kappa: 0.0592, kb_relative_information_score: -3096.8606, mean_absolute_error: 0.2621, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.797, predictive_accuracy: 0.834, prior_entropy: 0.6541, recall: 0.834, relative_absolute_error: 0.9357, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.361, root_relative_squared_error: 0.9646, scimark_benchmark: 1767.2726, usercpu_time_millis: 69.639, usercpu_time_millis_testing: 1.281, usercpu_time_millis_training: 68.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6993, f_measure: 0.7581, kappa: 0.0124, kb_relative_information_score: -1783.1672, mean_absolute_error: 0.2666, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8205, predictive_accuracy: 0.8325, prior_entropy: 0.6541, recall: 0.8325, relative_absolute_error: 0.9516, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3613, root_relative_squared_error: 0.9654, scimark_benchmark: 1830.2552, usercpu_time_millis: 57.92, usercpu_time_millis_testing: 3.587, usercpu_time_millis_training: 54.333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6626, f_measure: 0.7551, kb_relative_information_score: -2728.1379, 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: 0.3676, root_relative_squared_error: 0.9823, scimark_benchmark: 1839.6024, usercpu_time_millis: 100.295, usercpu_time_millis_testing: 8.172, usercpu_time_millis_training: 92.123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6782, f_measure: 0.7551, kb_relative_information_score: -1931.7201, mean_absolute_error: 0.2719, 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: 0.9707, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.366, root_relative_squared_error: 0.9779, scimark_benchmark: 1771.3836, usercpu_time_millis: 102.186, usercpu_time_millis_testing: 7.761, usercpu_time_millis_training: 94.425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6279, f_measure: 0.7551, kb_relative_information_score: -4039.9165, mean_absolute_error: 0.2728, 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: 0.9737, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.369, root_relative_squared_error: 0.986, scimark_benchmark: 1844.6953, usercpu_time_millis: 81.05, usercpu_time_millis_testing: 4.691, usercpu_time_millis_training: 76.359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6751, f_measure: 0.7551, kb_relative_information_score: -1830.9652, mean_absolute_error: 0.2733, 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: 0.9756, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.367, root_relative_squared_error: 0.9806, scimark_benchmark: 1852.5406, usercpu_time_millis: 77.078, usercpu_time_millis_testing: 10.306, usercpu_time_millis_training: 66.772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6465, f_measure: 0.7776, kappa: 0.1105, kb_relative_information_score: -5683.5499, mean_absolute_error: 0.2636, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7656, predictive_accuracy: 0.819, prior_entropy: 0.6541, recall: 0.819, relative_absolute_error: 0.941, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3769, root_relative_squared_error: 1.0072, scimark_benchmark: 1772.252, usercpu_time_millis: 59.168, usercpu_time_millis_testing: 0.86, usercpu_time_millis_training: 58.308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6914, f_measure: 0.7594, kappa: 0.0178, kb_relative_information_score: -2482.1506, mean_absolute_error: 0.2614, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7809, predictive_accuracy: 0.8318, prior_entropy: 0.6541, recall: 0.8318, relative_absolute_error: 0.9333, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3612, root_relative_squared_error: 0.9652, scimark_benchmark: 1846.6923, usercpu_time_millis: 69.532, usercpu_time_millis_testing: 0.977, usercpu_time_millis_training: 68.555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6254, f_measure: 0.7551, kb_relative_information_score: -2237.3562, 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: 0.3699, root_relative_squared_error: 0.9885, scimark_benchmark: 1837.1629, usercpu_time_millis: 81.296, usercpu_time_millis_testing: 8.199, usercpu_time_millis_training: 73.097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7551, kb_relative_information_score: 1.0105, 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: 1847.3406, usercpu_time_millis: 37.88, usercpu_time_millis_testing: 7.784, usercpu_time_millis_training: 30.096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7551, kb_relative_information_score: -17.3491, 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: 1853.9121, usercpu_time_millis: 51.225, usercpu_time_millis_testing: 6.677, usercpu_time_millis_training: 44.548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7551, kb_relative_information_score: -25.8883, 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: 1770.8184, usercpu_time_millis: 46.252, usercpu_time_millis_testing: 5.691, usercpu_time_millis_training: 40.561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6852, f_measure: 0.774, kappa: 0.0805, kb_relative_information_score: -3045.7886, mean_absolute_error: 0.2605, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7886, predictive_accuracy: 0.8331, prior_entropy: 0.6541, recall: 0.8331, relative_absolute_error: 0.93, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3619, root_relative_squared_error: 0.9671, scimark_benchmark: 1799.2518, usercpu_time_millis: 33.598, usercpu_time_millis_testing: 1.496, usercpu_time_millis_training: 32.102,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7551, kb_relative_information_score: -23.5048, 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: 1835.093, usercpu_time_millis: 65.679, usercpu_time_millis_testing: 7.537, usercpu_time_millis_training: 58.142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6751, f_measure: 0.7551, kb_relative_information_score: -2650.3481, 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: 0.9657, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3654, root_relative_squared_error: 0.9765, scimark_benchmark: 1846.4335, usercpu_time_millis: 57.108, usercpu_time_millis_testing: 4.057, usercpu_time_millis_training: 53.051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6853, f_measure: 0.7551, kb_relative_information_score: -2016.7674, mean_absolute_error: 0.2707, 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: 0.9663, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3647, root_relative_squared_error: 0.9746, scimark_benchmark: 1859.1356, usercpu_time_millis: 62.591, usercpu_time_millis_testing: 4.853, usercpu_time_millis_training: 57.738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7551, kb_relative_information_score: -6.854, 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: 1832.1397, usercpu_time_millis: 41.393, usercpu_time_millis_testing: 5.915, usercpu_time_millis_training: 35.478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6847, f_measure: 0.7604, kappa: 0.0218, kb_relative_information_score: -2577.1774, mean_absolute_error: 0.2641, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7985, predictive_accuracy: 0.8326, prior_entropy: 0.6541, recall: 0.8326, relative_absolute_error: 0.9429, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3623, root_relative_squared_error: 0.968, scimark_benchmark: 1848.388, usercpu_time_millis: 71.118, usercpu_time_millis_testing: 3.337, usercpu_time_millis_training: 67.781,

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

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From your own software

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

OpenML APIs