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: 0.4999, f_measure: 0.7551, kb_relative_information_score: -24.2552, 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: 1852.1045, usercpu_time_millis: 72.135, usercpu_time_millis_testing: 6.891, usercpu_time_millis_training: 65.244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6795, f_measure: 0.7761, kappa: 0.09, kb_relative_information_score: -3773.5486, mean_absolute_error: 0.262, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.788, predictive_accuracy: 0.833, prior_entropy: 0.6541, recall: 0.833, relative_absolute_error: 0.9353, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3632, root_relative_squared_error: 0.9706, scimark_benchmark: 1806.8261, usercpu_time_millis: 54.168, usercpu_time_millis_testing: 2.403, usercpu_time_millis_training: 51.765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6841, f_measure: 0.7551, kb_relative_information_score: -2422.2885, 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: 0.9603, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3641, root_relative_squared_error: 0.9728, scimark_benchmark: 1856.125, usercpu_time_millis: 75.27, usercpu_time_millis_testing: 5.112, usercpu_time_millis_training: 70.158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6725, f_measure: 0.7569, kappa: 0.0072, kb_relative_information_score: -3074.3989, mean_absolute_error: 0.2672, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.801, predictive_accuracy: 0.832, prior_entropy: 0.6541, recall: 0.832, relative_absolute_error: 0.9539, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3643, root_relative_squared_error: 0.9735, scimark_benchmark: 1842.1399, usercpu_time_millis: 39.417, usercpu_time_millis_testing: 1.377, usercpu_time_millis_training: 38.04,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7551, kb_relative_information_score: 0.4956, 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: 1845.7835, usercpu_time_millis: 37.955, usercpu_time_millis_testing: 6.528, usercpu_time_millis_training: 31.427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7551, kb_relative_information_score: -10.736, 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: 1837.1204, usercpu_time_millis: 48.334, usercpu_time_millis_testing: 5.862, usercpu_time_millis_training: 42.472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7551, kb_relative_information_score: -5.1499, 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: 1849.9303, usercpu_time_millis: 15.499, usercpu_time_millis_testing: 2.34, usercpu_time_millis_training: 13.159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7551, kb_relative_information_score: -7.8892, 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: 1841.8022, usercpu_time_millis: 21.665, usercpu_time_millis_testing: 3.629, usercpu_time_millis_training: 18.036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6932, f_measure: 0.7591, kappa: 0.0165, kb_relative_information_score: -2367.8022, mean_absolute_error: 0.2646, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8156, predictive_accuracy: 0.8327, prior_entropy: 0.6541, recall: 0.8327, relative_absolute_error: 0.9446, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3612, root_relative_squared_error: 0.9651, scimark_benchmark: 1847.9519, usercpu_time_millis: 28.283, usercpu_time_millis_testing: 1.407, usercpu_time_millis_training: 26.876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.693, f_measure: 0.7606, kappa: 0.0226, kb_relative_information_score: -2444.0298, mean_absolute_error: 0.2612, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7891, predictive_accuracy: 0.8323, prior_entropy: 0.6541, recall: 0.8323, relative_absolute_error: 0.9323, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3608, root_relative_squared_error: 0.9642, scimark_benchmark: 1854.4431, usercpu_time_millis: 38.913, usercpu_time_millis_testing: 0.589, usercpu_time_millis_training: 38.324,
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: 0.5001, f_measure: 0.7551, kb_relative_information_score: -12.4751, 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: 7.308, usercpu_time_millis_testing: 0.88, usercpu_time_millis_training: 6.428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6852, f_measure: 0.7728, kappa: 0.0746, kb_relative_information_score: -3471.618, mean_absolute_error: 0.262, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7955, predictive_accuracy: 0.8343, prior_entropy: 0.6541, recall: 0.8343, relative_absolute_error: 0.9353, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3617, root_relative_squared_error: 0.9665, scimark_benchmark: 1723.8599, usercpu_time_millis: 46.462, usercpu_time_millis_testing: 0.909, usercpu_time_millis_training: 45.553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6543, f_measure: 0.7551, kb_relative_information_score: -1182.4623, mean_absolute_error: 0.2769, 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: 0.9887, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3706, root_relative_squared_error: 0.9902, scimark_benchmark: 1847.8034, usercpu_time_millis: 59.155, usercpu_time_millis_testing: 8.73, usercpu_time_millis_training: 50.425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6942, f_measure: 0.7605, kappa: 0.0223, kb_relative_information_score: -2415.9369, mean_absolute_error: 0.2641, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8109, predictive_accuracy: 0.833, prior_entropy: 0.6541, recall: 0.833, relative_absolute_error: 0.9429, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3609, root_relative_squared_error: 0.9642, scimark_benchmark: 1851.8567, usercpu_time_millis: 20.019, usercpu_time_millis_testing: 0.825, usercpu_time_millis_training: 19.194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6319, f_measure: 0.7551, kb_relative_information_score: -2090.9472, 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: 0.3699, root_relative_squared_error: 0.9885, scimark_benchmark: 1852.4707, usercpu_time_millis: 47.841, usercpu_time_millis_testing: 4.086, usercpu_time_millis_training: 43.755,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6761, f_measure: 0.7754, kappa: 0.0872, kb_relative_information_score: -4538.9513, mean_absolute_error: 0.2648, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7849, predictive_accuracy: 0.8322, prior_entropy: 0.6541, recall: 0.8322, relative_absolute_error: 0.9454, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3643, root_relative_squared_error: 0.9734, scimark_benchmark: 1849.4321, usercpu_time_millis: 44.875, usercpu_time_millis_testing: 1.125, usercpu_time_millis_training: 43.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7551, kb_relative_information_score: 3.2656, 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: 1847.2191, usercpu_time_millis: 46.079, usercpu_time_millis_testing: 8.063, usercpu_time_millis_training: 38.016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6692, f_measure: 0.7551, kb_relative_information_score: -3120.9505, 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: 0.9603, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3652, root_relative_squared_error: 0.9759, scimark_benchmark: 1841.3274, usercpu_time_millis: 12.908, usercpu_time_millis_testing: 0.426, usercpu_time_millis_training: 12.482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7551, kb_relative_information_score: -35.1882, 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: 1822.3184, usercpu_time_millis: 31.846, usercpu_time_millis_testing: 3.521, usercpu_time_millis_training: 28.325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6648, f_measure: 0.7551, kb_relative_information_score: -3002.5453, mean_absolute_error: 0.2701, 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: 0.9641, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3657, root_relative_squared_error: 0.9773, scimark_benchmark: 1833.6545, usercpu_time_millis: 13.879, usercpu_time_millis_testing: 0.526, usercpu_time_millis_training: 13.353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6875, f_measure: 0.7551, kb_relative_information_score: -2387.935, mean_absolute_error: 0.2675, 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: 0.9549, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.363, root_relative_squared_error: 0.97, scimark_benchmark: 1850.2875, usercpu_time_millis: 19.528, usercpu_time_millis_testing: 0.883, usercpu_time_millis_training: 18.645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6824, f_measure: 0.7577, kappa: 0.0106, kb_relative_information_score: -2568.9631, mean_absolute_error: 0.2647, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7925, predictive_accuracy: 0.832, prior_entropy: 0.6541, recall: 0.832, relative_absolute_error: 0.945, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3627, root_relative_squared_error: 0.9691, scimark_benchmark: 1852.3877, usercpu_time_millis: 10.264, usercpu_time_millis_testing: 0.384, usercpu_time_millis_training: 9.88,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.634, f_measure: 0.7551, kb_relative_information_score: -3951.5779, 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: 0.3688, root_relative_squared_error: 0.9855, scimark_benchmark: 1829.1442, usercpu_time_millis: 26.283, usercpu_time_millis_testing: 1.089, usercpu_time_millis_training: 25.194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6237, f_measure: 0.7551, kb_relative_information_score: -2301.3483, 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: 0.9848, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.37, root_relative_squared_error: 0.9888, scimark_benchmark: 1840.4051, usercpu_time_millis: 11.41, usercpu_time_millis_testing: 0.693, usercpu_time_millis_training: 10.717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6802, f_measure: 0.7596, kappa: 0.0183, kb_relative_information_score: -2187.05, mean_absolute_error: 0.2668, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8109, predictive_accuracy: 0.8328, prior_entropy: 0.6541, recall: 0.8328, relative_absolute_error: 0.9524, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3627, root_relative_squared_error: 0.9691, scimark_benchmark: 1848.4799, usercpu_time_millis: 5.862, usercpu_time_millis_testing: 0.326, usercpu_time_millis_training: 5.536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6737, f_measure: 0.7551, kb_relative_information_score: -2326.3875, 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: 0.9705, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3662, root_relative_squared_error: 0.9785, scimark_benchmark: 1846.1643, usercpu_time_millis: 19.175, usercpu_time_millis_testing: 1.126, usercpu_time_millis_training: 18.049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6184, f_measure: 0.7551, kb_relative_information_score: -2436.0905, mean_absolute_error: 0.2761, 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: 0.9857, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3704, root_relative_squared_error: 0.9896, scimark_benchmark: 1845.7835, usercpu_time_millis: 11.396, usercpu_time_millis_testing: 0.607, usercpu_time_millis_training: 10.789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7551, kb_relative_information_score: -5.6718, 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: 1844.6953, usercpu_time_millis: 17.804, usercpu_time_millis_testing: 2.824, usercpu_time_millis_training: 14.98,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6472, f_measure: 0.7551, kb_relative_information_score: -978.8925, mean_absolute_error: 0.2778, 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: 0.9916, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3714, root_relative_squared_error: 0.9925, scimark_benchmark: 1852.9259, usercpu_time_millis: 26.082, usercpu_time_millis_testing: 2.516, usercpu_time_millis_training: 23.566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7551, kb_relative_information_score: -45.4601, 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: 1832.1397, usercpu_time_millis: 12.424, usercpu_time_millis_testing: 0.828, usercpu_time_millis_training: 11.596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7551, kb_relative_information_score: -20.0352, 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: 1851.4874, usercpu_time_millis: 27.91, usercpu_time_millis_testing: 4.732, usercpu_time_millis_training: 23.178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7551, kb_relative_information_score: -11.3325, 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: 1855.6669, usercpu_time_millis: 20.821, usercpu_time_millis_testing: 3.342, usercpu_time_millis_training: 17.479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6525, f_measure: 0.7551, kb_relative_information_score: -1590.0043, 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: 0.9859, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3698, root_relative_squared_error: 0.9883, scimark_benchmark: 1838.8322, usercpu_time_millis: 9.918, usercpu_time_millis_testing: 0.688, usercpu_time_millis_training: 9.23,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6872, f_measure: 0.7605, kappa: 0.0227, kb_relative_information_score: -2695.575, mean_absolute_error: 0.2609, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7702, predictive_accuracy: 0.831, prior_entropy: 0.6541, recall: 0.831, relative_absolute_error: 0.9313, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3621, root_relative_squared_error: 0.9677, scimark_benchmark: 1853.3841, usercpu_time_millis: 883.201, usercpu_time_millis_testing: 10.785, usercpu_time_millis_training: 872.416,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6685, f_measure: 0.7551, kb_relative_information_score: -3398.8019, mean_absolute_error: 0.2696, 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: 0.9626, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3657, root_relative_squared_error: 0.9773, scimark_benchmark: 1798.8315, usercpu_time_millis: 148.783, usercpu_time_millis_testing: 11.485, usercpu_time_millis_training: 137.298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6879, f_measure: 0.7551, kb_relative_information_score: -1987.779, 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: 0.964, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3643, root_relative_squared_error: 0.9735, scimark_benchmark: 1846.7639, usercpu_time_millis: 162.311, usercpu_time_millis_testing: 12.913, usercpu_time_millis_training: 149.398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.685, f_measure: 0.7557, kappa: 0.0023, kb_relative_information_score: -2479.7081, mean_absolute_error: 0.2648, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7694, predictive_accuracy: 0.8315, prior_entropy: 0.6541, recall: 0.8315, relative_absolute_error: 0.9453, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3625, root_relative_squared_error: 0.9686, scimark_benchmark: 1856.125, usercpu_time_millis: 163.45, usercpu_time_millis_testing: 6.177, usercpu_time_millis_training: 157.273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6747, f_measure: 0.7551, kb_relative_information_score: -2915.067, 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: 0.9583, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3646, root_relative_squared_error: 0.9742, scimark_benchmark: 1851.4233, usercpu_time_millis: 162.515, usercpu_time_millis_testing: 11.052, usercpu_time_millis_training: 151.463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6594, f_measure: 0.7551, kb_relative_information_score: -2682.2173, 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: 0.9772, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.368, root_relative_squared_error: 0.9834, scimark_benchmark: 1835.2001, usercpu_time_millis: 148.119, usercpu_time_millis_testing: 9.526, usercpu_time_millis_training: 138.593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6729, f_measure: 0.7551, kappa: -0.0001, kb_relative_information_score: -3066.9812, mean_absolute_error: 0.2675, 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: 0.955, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3645, root_relative_squared_error: 0.9739, scimark_benchmark: 1845.264, usercpu_time_millis: 167.419, usercpu_time_millis_testing: 7.616, usercpu_time_millis_training: 159.803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6637, f_measure: 0.7551, kb_relative_information_score: -3321.1368, mean_absolute_error: 0.2696, 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: 0.9626, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3659, root_relative_squared_error: 0.9777, scimark_benchmark: 1837.6484, usercpu_time_millis: 130.295, usercpu_time_millis_testing: 5.566, usercpu_time_millis_training: 124.729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6343, f_measure: 0.7551, kb_relative_information_score: -3898.0857, 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: 0.3688, root_relative_squared_error: 0.9855, scimark_benchmark: 1837.6484, usercpu_time_millis: 127.387, usercpu_time_millis_testing: 8.666, usercpu_time_millis_training: 118.721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6663, f_measure: 0.7551, kb_relative_information_score: -2992.3325, mean_absolute_error: 0.2697, 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: 0.9628, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3656, root_relative_squared_error: 0.9768, scimark_benchmark: 1853.454, usercpu_time_millis: 135.579, usercpu_time_millis_testing: 7.391, usercpu_time_millis_training: 128.188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6936, f_measure: 0.7553, kappa: 0.0007, kb_relative_information_score: -2305.7982, mean_absolute_error: 0.265, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7664, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.946, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3616, root_relative_squared_error: 0.9661, scimark_benchmark: 1832.0962, usercpu_time_millis: 149.19, usercpu_time_millis_testing: 7.044, usercpu_time_millis_training: 142.146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6803, f_measure: 0.7551, kb_relative_information_score: -2429.3848, mean_absolute_error: 0.2703, 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: 0.9649, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.365, root_relative_squared_error: 0.9754, scimark_benchmark: 1814.0879, usercpu_time_millis: 140.758, usercpu_time_millis_testing: 9.238, usercpu_time_millis_training: 131.52,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6866, f_measure: 0.7551, kb_relative_information_score: -1978.6275, mean_absolute_error: 0.2703, 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: 0.9649, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3646, root_relative_squared_error: 0.9742, scimark_benchmark: 1849.3742, usercpu_time_millis: 110.696, usercpu_time_millis_testing: 8.401, usercpu_time_millis_training: 102.295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6168, f_measure: 0.7551, kb_relative_information_score: -2696.5619, mean_absolute_error: 0.2761, 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: 0.9858, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3705, root_relative_squared_error: 0.9901, scimark_benchmark: 1853.9121, usercpu_time_millis: 97.028, usercpu_time_millis_testing: 8.509, usercpu_time_millis_training: 88.519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6951, f_measure: 0.7551, kb_relative_information_score: -1878.5626, mean_absolute_error: 0.268, 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: 0.9569, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3626, root_relative_squared_error: 0.969, scimark_benchmark: 1853.454, usercpu_time_millis: 118.374, usercpu_time_millis_testing: 6.631, usercpu_time_millis_training: 111.743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6951, f_measure: 0.7551, kb_relative_information_score: -1868.0359, mean_absolute_error: 0.2679, 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: 0.9565, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3626, root_relative_squared_error: 0.9688, scimark_benchmark: 1858.6775, usercpu_time_millis: 114.489, usercpu_time_millis_testing: 7.149, usercpu_time_millis_training: 107.34,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6792, f_measure: 0.7551, kb_relative_information_score: -1907.6355, mean_absolute_error: 0.2721, 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: 0.9713, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3661, root_relative_squared_error: 0.9782, scimark_benchmark: 1831.2518, usercpu_time_millis: 141.587, usercpu_time_millis_testing: 13.303, usercpu_time_millis_training: 128.284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6794, f_measure: 0.757, kappa: 0.0076, kb_relative_information_score: -2509.7695, mean_absolute_error: 0.2649, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7851, predictive_accuracy: 0.8318, prior_entropy: 0.6541, recall: 0.8318, relative_absolute_error: 0.9458, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.363, root_relative_squared_error: 0.9701, scimark_benchmark: 1833.7909, usercpu_time_millis: 137.793, usercpu_time_millis_testing: 3.497, usercpu_time_millis_training: 134.296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6943, f_measure: 0.7558, kappa: 0.0027, kb_relative_information_score: -2320.1502, mean_absolute_error: 0.2647, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7869, predictive_accuracy: 0.8317, prior_entropy: 0.6541, recall: 0.8317, relative_absolute_error: 0.9449, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3614, root_relative_squared_error: 0.9656, scimark_benchmark: 1834.4358, usercpu_time_millis: 106.749, usercpu_time_millis_testing: 5.325, usercpu_time_millis_training: 101.424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6654, f_measure: 0.7551, kb_relative_information_score: -1741.8152, mean_absolute_error: 0.2743, 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: 0.9793, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3681, root_relative_squared_error: 0.9835, scimark_benchmark: 1851.3986, usercpu_time_millis: 107.12, usercpu_time_millis_testing: 11.024, usercpu_time_millis_training: 96.096,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6614, f_measure: 0.7781, kappa: 0.1053, kb_relative_information_score: -4765.8886, mean_absolute_error: 0.2632, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7723, predictive_accuracy: 0.8258, prior_entropy: 0.6541, recall: 0.8258, relative_absolute_error: 0.9395, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3696, root_relative_squared_error: 0.9876, scimark_benchmark: 1845.3295, usercpu_time_millis: 109.046, usercpu_time_millis_testing: 2.109, usercpu_time_millis_training: 106.937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6169, f_measure: 0.7551, kb_relative_information_score: -2703.1935, mean_absolute_error: 0.2761, 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: 0.9858, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3705, root_relative_squared_error: 0.9901, scimark_benchmark: 1846.8309, usercpu_time_millis: 74.431, usercpu_time_millis_testing: 6.599, usercpu_time_millis_training: 67.832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6752, f_measure: 0.7551, kb_relative_information_score: -2330.7425, mean_absolute_error: 0.2716, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9696, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.366, root_relative_squared_error: 0.9779, scimark_benchmark: 1852.9259, usercpu_time_millis: 92.356, usercpu_time_millis_testing: 6.03, usercpu_time_millis_training: 86.326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6933, f_measure: 0.7563, kappa: 0.0051, kb_relative_information_score: -2361.3397, mean_absolute_error: 0.265, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8026, predictive_accuracy: 0.8319, prior_entropy: 0.6541, recall: 0.8319, relative_absolute_error: 0.946, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3615, root_relative_squared_error: 0.9659, scimark_benchmark: 1855.0232, usercpu_time_millis: 86.275, usercpu_time_millis_testing: 4.468, usercpu_time_millis_training: 81.807,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6599, f_measure: 0.7551, kb_relative_information_score: -2728.9684, 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: 0.9758, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3677, root_relative_squared_error: 0.9826, scimark_benchmark: 1848.388, usercpu_time_millis: 87.457, usercpu_time_millis_testing: 6.878, usercpu_time_millis_training: 80.579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6851, f_measure: 0.7581, kappa: 0.0124, kb_relative_information_score: -2476.2365, mean_absolute_error: 0.2639, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7918, predictive_accuracy: 0.832, prior_entropy: 0.6541, recall: 0.832, relative_absolute_error: 0.942, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3623, root_relative_squared_error: 0.9681, scimark_benchmark: 1844.7474, usercpu_time_millis: 102.432, usercpu_time_millis_testing: 2.589, usercpu_time_millis_training: 99.843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6676, f_measure: 0.7551, kb_relative_information_score: -1735.7863, mean_absolute_error: 0.2745, 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: 0.9799, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3681, root_relative_squared_error: 0.9837, scimark_benchmark: 1842.3188, usercpu_time_millis: 101.77, usercpu_time_millis_testing: 8.651, usercpu_time_millis_training: 93.119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7551, kb_relative_information_score: -22.2111, 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: 1853.5818, usercpu_time_millis: 70.348, usercpu_time_millis_testing: 5.774, usercpu_time_millis_training: 64.574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.693, f_measure: 0.7551, kappa: 0, kb_relative_information_score: -2296.1729, 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: 0.9466, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3617, root_relative_squared_error: 0.9666, scimark_benchmark: 1842.7093, usercpu_time_millis: 93.474, usercpu_time_millis_testing: 3.371, usercpu_time_millis_training: 90.103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6724, f_measure: 0.7569, kappa: 0.0071, kb_relative_information_score: -3107.5249, mean_absolute_error: 0.2676, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8067, predictive_accuracy: 0.832, prior_entropy: 0.6541, recall: 0.832, relative_absolute_error: 0.9553, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3645, root_relative_squared_error: 0.9741, scimark_benchmark: 1853.5818, usercpu_time_millis: 95.416, usercpu_time_millis_testing: 4.67, usercpu_time_millis_training: 90.746,

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