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: 0.6963, f_measure: 0.7655, kappa: 0.0431, kb_relative_information_score: -2291.7735, mean_absolute_error: 0.2604, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.801, predictive_accuracy: 0.8337, prior_entropy: 0.6541, recall: 0.8337, relative_absolute_error: 0.9298, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3599, root_relative_squared_error: 0.9617, scimark_benchmark: 1841.6148, usercpu_time_millis: 50.543, usercpu_time_millis_testing: 0.836, usercpu_time_millis_training: 49.707,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6473, f_measure: 0.7551, kb_relative_information_score: -1034.7138, 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: 0.3713, root_relative_squared_error: 0.9922, scimark_benchmark: 1799.2426, usercpu_time_millis: 39.618, usercpu_time_millis_testing: 5.056, usercpu_time_millis_training: 34.562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6876, f_measure: 0.7556, kappa: 0.0022, kb_relative_information_score: -2448.022, mean_absolute_error: 0.2647, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7639, predictive_accuracy: 0.8315, prior_entropy: 0.6541, recall: 0.8315, relative_absolute_error: 0.945, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3622, root_relative_squared_error: 0.9677, scimark_benchmark: 1774.1133, usercpu_time_millis: 78.769, usercpu_time_millis_testing: 2.644, usercpu_time_millis_training: 76.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6761, f_measure: 0.7564, kappa: 0.0052, kb_relative_information_score: -2783.3995, mean_absolute_error: 0.2657, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7778, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9486, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3635, root_relative_squared_error: 0.9713, scimark_benchmark: 1783.5157, usercpu_time_millis: 61.313, usercpu_time_millis_testing: 1.383, usercpu_time_millis_training: 59.93,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7551, kb_relative_information_score: 2.851, 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: 1843.1261, usercpu_time_millis: 43.636, usercpu_time_millis_testing: 7.519, usercpu_time_millis_training: 36.117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7551, kb_relative_information_score: 5.0048, 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: 1761.2342, usercpu_time_millis: 33.65, usercpu_time_millis_testing: 5.937, usercpu_time_millis_training: 27.713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6781, f_measure: 0.7551, kb_relative_information_score: -2687.9058, 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: 0.9615, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3647, root_relative_squared_error: 0.9745, scimark_benchmark: 1857.0384, usercpu_time_millis: 47.88, usercpu_time_millis_testing: 2.328, usercpu_time_millis_training: 45.552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7551, kb_relative_information_score: -4.0947, 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: 1833.7089, usercpu_time_millis: 47.591, usercpu_time_millis_testing: 6.973, usercpu_time_millis_training: 40.618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7551, kb_relative_information_score: -9.8047, 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: 1799.2518, usercpu_time_millis: 13.143, usercpu_time_millis_testing: 1.289, usercpu_time_millis_training: 11.854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7551, kb_relative_information_score: -23.7994, 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: 1823.7025, usercpu_time_millis: 28.493, usercpu_time_millis_testing: 3.57, usercpu_time_millis_training: 24.923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6657, f_measure: 0.7551, kb_relative_information_score: -2381.4583, mean_absolute_error: 0.2736, 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: 0.9768, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3676, root_relative_squared_error: 0.9823, scimark_benchmark: 1796.0572, usercpu_time_millis: 9.241, usercpu_time_millis_testing: 0.644, usercpu_time_millis_training: 8.597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6481, f_measure: 0.7551, kb_relative_information_score: -1080.4676, mean_absolute_error: 0.2775, 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: 0.9905, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3712, root_relative_squared_error: 0.9918, scimark_benchmark: 1825.2596, usercpu_time_millis: 13.199, usercpu_time_millis_testing: 1.144, usercpu_time_millis_training: 12.055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7551, kb_relative_information_score: -4.3534, 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: 1851.8567, usercpu_time_millis: 35.667, usercpu_time_millis_testing: 5.72, usercpu_time_millis_training: 29.947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7551, kb_relative_information_score: -9.9631, 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: 1854.9533, usercpu_time_millis: 19.437, usercpu_time_millis_testing: 3.181, usercpu_time_millis_training: 16.256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7551, kb_relative_information_score: 2.431, 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: 1839.9461, usercpu_time_millis: 30.373, usercpu_time_millis_testing: 5.316, usercpu_time_millis_training: 25.057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.641, f_measure: 0.7551, kb_relative_information_score: -3714.5101, 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: 0.9741, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3684, root_relative_squared_error: 0.9845, scimark_benchmark: 1858.1494, usercpu_time_millis: 28.544, usercpu_time_millis_testing: 1.287, usercpu_time_millis_training: 27.257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7551, kb_relative_information_score: 2.0116, 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: 1847.2753, usercpu_time_millis: 44.677, usercpu_time_millis_testing: 7.96, usercpu_time_millis_training: 36.717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6593, f_measure: 0.7551, kb_relative_information_score: -1556.8604, 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: 0.9842, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3693, root_relative_squared_error: 0.9869, scimark_benchmark: 1839.7764, usercpu_time_millis: 24.275, usercpu_time_millis_testing: 1.613, usercpu_time_millis_training: 22.662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6375, f_measure: 0.7551, kb_relative_information_score: -3869.45, 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: 0.9738, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3687, root_relative_squared_error: 0.9851, scimark_benchmark: 1851.9456, usercpu_time_millis: 40.197, usercpu_time_millis_testing: 1.888, usercpu_time_millis_training: 38.309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7551, kb_relative_information_score: -24.9556, 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: 1798.3825, usercpu_time_millis: 27.308, usercpu_time_millis_testing: 4.667, usercpu_time_millis_training: 22.641,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.664, f_measure: 0.7551, kb_relative_information_score: -2203.6659, mean_absolute_error: 0.2742, 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: 0.979, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3681, root_relative_squared_error: 0.9836, scimark_benchmark: 1843.657, usercpu_time_millis: 11.516, usercpu_time_millis_testing: 0.786, usercpu_time_millis_training: 10.73,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6745, f_measure: 0.7613, kappa: 0.026, kb_relative_information_score: -2867.4659, mean_absolute_error: 0.2635, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7767, predictive_accuracy: 0.8315, prior_entropy: 0.6541, recall: 0.8315, relative_absolute_error: 0.9407, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3639, root_relative_squared_error: 0.9723, scimark_benchmark: 1840.9456, usercpu_time_millis: 1.346, usercpu_time_millis_testing: 0.082, usercpu_time_millis_training: 1.264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7551, kb_relative_information_score: -24.173, 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: 1858.6775, usercpu_time_millis: 17.772, usercpu_time_millis_testing: 1.247, usercpu_time_millis_training: 16.525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7551, kb_relative_information_score: 3.5102, 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: 1853.3841, usercpu_time_millis: 40.507, usercpu_time_millis_testing: 7.07, usercpu_time_millis_training: 33.437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7551, kb_relative_information_score: -11.9921, 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: 1850.8185, usercpu_time_millis: 7.779, usercpu_time_millis_testing: 0.908, usercpu_time_millis_training: 6.871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6253, f_measure: 0.7551, kb_relative_information_score: -2299.0159, 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: 0.3699, root_relative_squared_error: 0.9885, scimark_benchmark: 1780.5903, usercpu_time_millis: 21.516, usercpu_time_millis_testing: 1.299, usercpu_time_millis_training: 20.217,
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: 0.6797, f_measure: 0.7596, kappa: 0.0184, kb_relative_information_score: -2426.7961, mean_absolute_error: 0.2675, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8129, predictive_accuracy: 0.8328, prior_entropy: 0.6541, recall: 0.8328, relative_absolute_error: 0.9551, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3627, root_relative_squared_error: 0.9692, scimark_benchmark: 1846.2342, usercpu_time_millis: 4.702, usercpu_time_millis_testing: 0.277, usercpu_time_millis_training: 4.425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6733, f_measure: 0.7584, kappa: 0.0138, kb_relative_information_score: -2659.6259, mean_absolute_error: 0.2648, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7662, predictive_accuracy: 0.831, prior_entropy: 0.6541, recall: 0.831, relative_absolute_error: 0.9453, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3637, root_relative_squared_error: 0.9718, scimark_benchmark: 1852.4008, usercpu_time_millis: 12.041, usercpu_time_millis_testing: 0.249, usercpu_time_millis_training: 11.792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7551, kb_relative_information_score: -21.0643, 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: 1856.0123, usercpu_time_millis: 14.907, usercpu_time_millis_testing: 1.233, usercpu_time_millis_training: 13.674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.683, f_measure: 0.761, kappa: 0.0243, kb_relative_information_score: -2807.9493, mean_absolute_error: 0.261, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.783, predictive_accuracy: 0.832, prior_entropy: 0.6541, recall: 0.832, relative_absolute_error: 0.9317, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3624, root_relative_squared_error: 0.9684, scimark_benchmark: 1845.779, usercpu_time_millis: 8.833, usercpu_time_millis_testing: 0.134, usercpu_time_millis_training: 8.699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6727, f_measure: 0.7551, kb_relative_information_score: -3037.7899, mean_absolute_error: 0.2683, 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: 0.9578, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3647, root_relative_squared_error: 0.9746, scimark_benchmark: 1851.3287, usercpu_time_millis: 29.356, usercpu_time_millis_testing: 1.029, usercpu_time_millis_training: 28.327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7551, kb_relative_information_score: -62.105, 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: 1.0004, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1852.0126, usercpu_time_millis: 9.176, usercpu_time_millis_testing: 0.659, usercpu_time_millis_training: 8.517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6838, f_measure: 0.7551, kb_relative_information_score: -2604.7789, mean_absolute_error: 0.2676, 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: 0.9553, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3634, root_relative_squared_error: 0.9711, scimark_benchmark: 1784.3889, usercpu_time_millis: 16.184, usercpu_time_millis_testing: 0.883, usercpu_time_millis_training: 15.301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6844, f_measure: 0.7574, kappa: 0.0092, kb_relative_information_score: -2495.9728, mean_absolute_error: 0.2643, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7956, predictive_accuracy: 0.832, prior_entropy: 0.6541, recall: 0.832, relative_absolute_error: 0.9436, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3624, root_relative_squared_error: 0.9684, scimark_benchmark: 1859.1356, usercpu_time_millis: 23.357, usercpu_time_millis_testing: 0.597, usercpu_time_millis_training: 22.76,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6458, f_measure: 0.7551, kb_relative_information_score: -2940.4311, mean_absolute_error: 0.2735, 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: 0.9762, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3681, root_relative_squared_error: 0.9836, scimark_benchmark: 1819.9868, usercpu_time_millis: 2.123, usercpu_time_millis_testing: 0.131, usercpu_time_millis_training: 1.992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7551, kb_relative_information_score: -17.572, 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: 1775.3749, usercpu_time_millis: 13.479, usercpu_time_millis_testing: 1.758, usercpu_time_millis_training: 11.721,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6976, f_measure: 0.759, kappa: 0.0159, kb_relative_information_score: -2229.6577, mean_absolute_error: 0.2633, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8122, predictive_accuracy: 0.8326, prior_entropy: 0.6541, recall: 0.8326, relative_absolute_error: 0.9399, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3604, root_relative_squared_error: 0.9631, scimark_benchmark: 1912.5039, usercpu_time_millis: 173.612, usercpu_time_millis_testing: 8.135, usercpu_time_millis_training: 165.477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6925, f_measure: 0.7552, kappa: 0.0004, kb_relative_information_score: -2302.4657, mean_absolute_error: 0.2654, 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: 0.9475, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3618, root_relative_squared_error: 0.9668, scimark_benchmark: 1835.6541, usercpu_time_millis: 227.393, usercpu_time_millis_testing: 14.082, usercpu_time_millis_training: 213.311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6718, f_measure: 0.7551, kb_relative_information_score: -3063.8223, mean_absolute_error: 0.2686, 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: 0.9589, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.365, root_relative_squared_error: 0.9754, scimark_benchmark: 1850.4554, usercpu_time_millis: 210.846, usercpu_time_millis_testing: 11.381, usercpu_time_millis_training: 199.465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6867, f_measure: 0.7569, kappa: 0.0075, kb_relative_information_score: -2472.5673, mean_absolute_error: 0.2642, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8022, predictive_accuracy: 0.832, prior_entropy: 0.6541, recall: 0.832, relative_absolute_error: 0.9431, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3622, root_relative_squared_error: 0.9677, scimark_benchmark: 1787.8099, usercpu_time_millis: 215.8, usercpu_time_millis_testing: 7.868, usercpu_time_millis_training: 207.932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6879, f_measure: 0.7551, kb_relative_information_score: -1977.8023, mean_absolute_error: 0.27, 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: 0.9639, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3643, root_relative_squared_error: 0.9735, scimark_benchmark: 1826.2133, usercpu_time_millis: 192.015, usercpu_time_millis_testing: 14.15, usercpu_time_millis_training: 177.865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6685, f_measure: 0.7551, kb_relative_information_score: -3133.039, mean_absolute_error: 0.2686, 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: 0.9589, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3652, root_relative_squared_error: 0.976, scimark_benchmark: 1844.7474, usercpu_time_millis: 138.821, usercpu_time_millis_testing: 6.539, usercpu_time_millis_training: 132.282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6869, f_measure: 0.7585, kappa: 0.0141, kb_relative_information_score: -2458.26, mean_absolute_error: 0.2635, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7964, predictive_accuracy: 0.8322, prior_entropy: 0.6541, recall: 0.8322, relative_absolute_error: 0.9407, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.362, root_relative_squared_error: 0.9673, scimark_benchmark: 1847.8629, usercpu_time_millis: 184.854, usercpu_time_millis_testing: 6.265, usercpu_time_millis_training: 178.589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6905, f_measure: 0.773, kappa: 0.0754, kb_relative_information_score: -3177.0808, mean_absolute_error: 0.261, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7967, predictive_accuracy: 0.8345, prior_entropy: 0.6541, recall: 0.8345, relative_absolute_error: 0.9318, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3606, root_relative_squared_error: 0.9637, scimark_benchmark: 1792.8283, usercpu_time_millis: 198.255, usercpu_time_millis_testing: 3.743, usercpu_time_millis_training: 194.512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6701, f_measure: 0.7558, kappa: 0.0029, kb_relative_information_score: -3149.8042, mean_absolute_error: 0.2682, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7824, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9574, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.365, root_relative_squared_error: 0.9754, scimark_benchmark: 1851.4874, usercpu_time_millis: 159.045, usercpu_time_millis_testing: 8.683, usercpu_time_millis_training: 150.362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.692, f_measure: 0.7551, kb_relative_information_score: -2037.617, mean_absolute_error: 0.269, 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: 0.9604, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3632, root_relative_squared_error: 0.9705, scimark_benchmark: 1844.3569, usercpu_time_millis: 188.213, usercpu_time_millis_testing: 15.291, usercpu_time_millis_training: 172.922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6957, f_measure: 0.7551, kb_relative_information_score: -1874.5445, 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: 0.9561, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3625, root_relative_squared_error: 0.9685, scimark_benchmark: 1855.1417, usercpu_time_millis: 177.74, usercpu_time_millis_testing: 13.396, usercpu_time_millis_training: 164.344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6994, f_measure: 0.7665, kappa: 0.0474, kb_relative_information_score: -2348.6046, mean_absolute_error: 0.2619, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.805, predictive_accuracy: 0.8342, prior_entropy: 0.6541, recall: 0.8342, relative_absolute_error: 0.935, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3592, root_relative_squared_error: 0.9598, scimark_benchmark: 1849.408, usercpu_time_millis: 113.462, usercpu_time_millis_testing: 5.561, usercpu_time_millis_training: 107.901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6976, f_measure: 0.7559, kappa: 0.0032, kb_relative_information_score: -1865.0466, mean_absolute_error: 0.2675, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8096, predictive_accuracy: 0.8318, prior_entropy: 0.6541, recall: 0.8318, relative_absolute_error: 0.9548, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3619, root_relative_squared_error: 0.9671, scimark_benchmark: 1843.903, usercpu_time_millis: 148.089, usercpu_time_millis_testing: 11.147, usercpu_time_millis_training: 136.942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6852, f_measure: 0.7615, kappa: 0.0263, kb_relative_information_score: -2606.6184, mean_absolute_error: 0.2638, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8021, predictive_accuracy: 0.833, prior_entropy: 0.6541, recall: 0.833, relative_absolute_error: 0.9418, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3621, root_relative_squared_error: 0.9676, scimark_benchmark: 1845.2056, usercpu_time_millis: 237.922, usercpu_time_millis_testing: 12.132, usercpu_time_millis_training: 225.79,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6619, f_measure: 0.7551, kb_relative_information_score: -2063.3816, mean_absolute_error: 0.2746, 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: 0.9803, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3685, root_relative_squared_error: 0.9846, scimark_benchmark: 1848.916, usercpu_time_millis: 110.659, usercpu_time_millis_testing: 9.937, usercpu_time_millis_training: 100.722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6991, f_measure: 0.7621, kappa: 0.0287, kb_relative_information_score: -2180.9634, mean_absolute_error: 0.2623, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8079, predictive_accuracy: 0.8333, prior_entropy: 0.6541, recall: 0.8333, relative_absolute_error: 0.9365, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3598, root_relative_squared_error: 0.9614, scimark_benchmark: 1851.4233, usercpu_time_millis: 109.843, usercpu_time_millis_testing: 4.404, usercpu_time_millis_training: 105.439,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6358, f_measure: 0.7551, kb_relative_information_score: -2233.2095, mean_absolute_error: 0.2755, 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: 0.9834, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3696, root_relative_squared_error: 0.9875, scimark_benchmark: 1019.6485, usercpu_time_millis: 202.846, usercpu_time_millis_testing: 12.005, usercpu_time_millis_training: 190.841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6844, f_measure: 0.7582, kappa: 0.0129, kb_relative_information_score: -2522.7815, mean_absolute_error: 0.2636, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7855, predictive_accuracy: 0.8319, prior_entropy: 0.6541, recall: 0.8319, relative_absolute_error: 0.9412, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3624, root_relative_squared_error: 0.9685, scimark_benchmark: 1852.9259, usercpu_time_millis: 161.928, usercpu_time_millis_testing: 3.709, usercpu_time_millis_training: 158.219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6744, f_measure: 0.7551, kb_relative_information_score: -2835.0017, mean_absolute_error: 0.2698, 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: 0.9632, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3652, root_relative_squared_error: 0.9758, scimark_benchmark: 1845.8506, usercpu_time_millis: 110.556, usercpu_time_millis_testing: 10.022, usercpu_time_millis_training: 100.534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6844, f_measure: 0.7591, kappa: 0.0165, kb_relative_information_score: -2519.6575, mean_absolute_error: 0.2646, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8045, predictive_accuracy: 0.8325, prior_entropy: 0.6541, recall: 0.8325, relative_absolute_error: 0.9447, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3624, root_relative_squared_error: 0.9684, scimark_benchmark: 1839.2774, usercpu_time_millis: 187.055, usercpu_time_millis_testing: 10.424, usercpu_time_millis_training: 176.631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.676, f_measure: 0.7551, kb_relative_information_score: -2909.2885, 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: 0.9562, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3642, root_relative_squared_error: 0.9733, scimark_benchmark: 1848.5009, usercpu_time_millis: 164.171, usercpu_time_millis_testing: 10.957, usercpu_time_millis_training: 153.214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6984, f_measure: 0.7607, kappa: 0.0232, kb_relative_information_score: -2200.2557, mean_absolute_error: 0.2626, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8115, predictive_accuracy: 0.8331, prior_entropy: 0.6541, recall: 0.8331, relative_absolute_error: 0.9374, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.36, root_relative_squared_error: 0.962, scimark_benchmark: 1841.2148, usercpu_time_millis: 73.434, usercpu_time_millis_testing: 2.7, usercpu_time_millis_training: 70.734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6853, f_measure: 0.7551, kb_relative_information_score: -1966.419, 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: 0.9655, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3647, root_relative_squared_error: 0.9746, scimark_benchmark: 1852.0126, usercpu_time_millis: 141.604, usercpu_time_millis_testing: 10.35, usercpu_time_millis_training: 131.254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6638, f_measure: 0.7778, kappa: 0.1029, kb_relative_information_score: -4544.2466, mean_absolute_error: 0.2619, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7732, predictive_accuracy: 0.8266, prior_entropy: 0.6541, recall: 0.8266, relative_absolute_error: 0.9349, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3693, root_relative_squared_error: 0.9868, scimark_benchmark: 1846.8212, usercpu_time_millis: 58.663, usercpu_time_millis_testing: 1.892, usercpu_time_millis_training: 56.771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6997, f_measure: 0.7589, kappa: 0.0156, kb_relative_information_score: -1774.0744, mean_absolute_error: 0.2667, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.827, predictive_accuracy: 0.8328, prior_entropy: 0.6541, recall: 0.8328, relative_absolute_error: 0.9522, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3612, root_relative_squared_error: 0.9652, scimark_benchmark: 1846.7651, usercpu_time_millis: 113.462, usercpu_time_millis_testing: 6.831, usercpu_time_millis_training: 106.631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7551, kb_relative_information_score: -6.3716, 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: 1841.5648, usercpu_time_millis: 65.874, usercpu_time_millis_testing: 7.258, usercpu_time_millis_training: 58.616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6781, f_measure: 0.7551, kb_relative_information_score: -2843.9464, mean_absolute_error: 0.2671, 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: 0.9535, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3638, root_relative_squared_error: 0.9721, scimark_benchmark: 1792.261, usercpu_time_millis: 110.337, usercpu_time_millis_testing: 5.338, usercpu_time_millis_training: 104.999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6752, f_measure: 0.7774, kappa: 0.0972, kb_relative_information_score: -4377.9087, mean_absolute_error: 0.2633, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7817, predictive_accuracy: 0.831, prior_entropy: 0.6541, recall: 0.831, relative_absolute_error: 0.9401, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3651, root_relative_squared_error: 0.9755, scimark_benchmark: 1845.9141, usercpu_time_millis: 167.956, usercpu_time_millis_testing: 2.375, usercpu_time_millis_training: 165.581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6957, f_measure: 0.7551, kb_relative_information_score: -1855.6315, 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: 0.9562, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3625, root_relative_squared_error: 0.9686, scimark_benchmark: 1847.7442, usercpu_time_millis: 137.582, usercpu_time_millis_testing: 8.058, usercpu_time_millis_training: 129.524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6854, f_measure: 0.7551, kb_relative_information_score: -2388.9583, mean_absolute_error: 0.2685, 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: 0.9586, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3637, root_relative_squared_error: 0.9718, scimark_benchmark: 1846.3769, usercpu_time_millis: 34.496, usercpu_time_millis_testing: 2.519, usercpu_time_millis_training: 31.977,

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