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: 0.6899, f_measure: 0.7653, kappa: 0.0424, kb_relative_information_score: -2847.3249, mean_absolute_error: 0.2625, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7966, predictive_accuracy: 0.8334, prior_entropy: 0.6541, recall: 0.8334, relative_absolute_error: 0.937, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3608, root_relative_squared_error: 0.964, scimark_benchmark: 1848.388, usercpu_time_millis: 573.446, usercpu_time_millis_testing: 17.872, usercpu_time_millis_training: 555.574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6876, f_measure: 0.7613, kappa: 0.0257, kb_relative_information_score: -2545.1215, mean_absolute_error: 0.2634, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8044, predictive_accuracy: 0.833, prior_entropy: 0.6541, recall: 0.833, relative_absolute_error: 0.9403, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3618, root_relative_squared_error: 0.9667, scimark_benchmark: 1849.8294, usercpu_time_millis: 311.475, usercpu_time_millis_testing: 12.825, usercpu_time_millis_training: 298.65,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6524, f_measure: 0.7551, kb_relative_information_score: -1973.4614, mean_absolute_error: 0.2754, 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: 0.9831, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3693, root_relative_squared_error: 0.9867, scimark_benchmark: 1849.8294, usercpu_time_millis: 22.74, usercpu_time_millis_testing: 1.985, usercpu_time_millis_training: 20.755,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6352, f_measure: 0.7776, kappa: 0.1117, kb_relative_information_score: -6068.5437, mean_absolute_error: 0.261, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7651, predictive_accuracy: 0.8181, prior_entropy: 0.6541, recall: 0.8181, relative_absolute_error: 0.9316, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3836, root_relative_squared_error: 1.0249, scimark_benchmark: 1838.1026, usercpu_time_millis: 11.81, usercpu_time_millis_testing: 0.298, usercpu_time_millis_training: 11.512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6805, f_measure: 0.7556, kappa: 0.0021, kb_relative_information_score: -2529.1008, mean_absolute_error: 0.2651, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.759, predictive_accuracy: 0.8314, prior_entropy: 0.6541, recall: 0.8314, relative_absolute_error: 0.9465, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.363, root_relative_squared_error: 0.97, scimark_benchmark: 1838.6892, usercpu_time_millis: 94.415, usercpu_time_millis_testing: 1.942, usercpu_time_millis_training: 92.473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6928, f_measure: 0.7551, kb_relative_information_score: -1992.1264, 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: 0.363, root_relative_squared_error: 0.97, scimark_benchmark: 1839.2774, usercpu_time_millis: 130.939, usercpu_time_millis_testing: 13.829, usercpu_time_millis_training: 117.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6901, f_measure: 0.7616, kappa: 0.0269, kb_relative_information_score: -2619.6939, mean_absolute_error: 0.2626, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8014, predictive_accuracy: 0.833, prior_entropy: 0.6541, recall: 0.833, relative_absolute_error: 0.9376, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3613, root_relative_squared_error: 0.9655, scimark_benchmark: 1752.3557, usercpu_time_millis: 914.654, usercpu_time_millis_testing: 24.224, usercpu_time_millis_training: 890.43,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6937, f_measure: 0.7614, kappa: 0.026, kb_relative_information_score: -2391.5502, mean_absolute_error: 0.2611, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7982, predictive_accuracy: 0.8328, prior_entropy: 0.6541, recall: 0.8328, relative_absolute_error: 0.9321, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3605, root_relative_squared_error: 0.9634, scimark_benchmark: 1770.827, usercpu_time_millis: 730.341, usercpu_time_millis_testing: 14.505, usercpu_time_millis_training: 715.836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6841, f_measure: 0.7581, kappa: 0.0124, kb_relative_information_score: -2417.1743, mean_absolute_error: 0.2636, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7841, predictive_accuracy: 0.8318, prior_entropy: 0.6541, recall: 0.8318, relative_absolute_error: 0.941, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3625, root_relative_squared_error: 0.9685, scimark_benchmark: 1852.9259, usercpu_time_millis: 406.86, usercpu_time_millis_testing: 10.269, usercpu_time_millis_training: 396.591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6685, f_measure: 0.7551, kb_relative_information_score: -3094.9938, mean_absolute_error: 0.2693, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9614, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3654, root_relative_squared_error: 0.9765, scimark_benchmark: 1840.7014, usercpu_time_millis: 229.857, usercpu_time_millis_testing: 11.166, usercpu_time_millis_training: 218.691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6668, f_measure: 0.7771, kappa: 0.0985, kb_relative_information_score: -4692.5836, mean_absolute_error: 0.2636, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7744, predictive_accuracy: 0.8278, prior_entropy: 0.6541, recall: 0.8278, relative_absolute_error: 0.9411, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3679, root_relative_squared_error: 0.9831, scimark_benchmark: 1843.1687, usercpu_time_millis: 117.185, usercpu_time_millis_testing: 1.79, usercpu_time_millis_training: 115.395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.649, f_measure: 0.7551, kb_relative_information_score: -1028.6322, 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: 0.9909, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3713, root_relative_squared_error: 0.992, scimark_benchmark: 1751.395, usercpu_time_millis: 86.172, usercpu_time_millis_testing: 9.947, usercpu_time_millis_training: 76.225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6902, f_measure: 0.759, kappa: 0.016, kb_relative_information_score: -2528.6744, mean_absolute_error: 0.2618, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7825, predictive_accuracy: 0.8318, prior_entropy: 0.6541, recall: 0.8318, relative_absolute_error: 0.9346, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3616, root_relative_squared_error: 0.9663, scimark_benchmark: 1842.7105, usercpu_time_millis: 1269.126, usercpu_time_millis_testing: 17.728, usercpu_time_millis_training: 1251.398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6318, f_measure: 0.7551, kb_relative_information_score: -2242.8257, 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: 0.3697, root_relative_squared_error: 0.9879, scimark_benchmark: 1846.8309, usercpu_time_millis: 63.708, usercpu_time_millis_testing: 6.481, usercpu_time_millis_training: 57.227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6897, f_measure: 0.7595, kappa: 0.0179, kb_relative_information_score: -2470.5824, mean_absolute_error: 0.2632, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7995, predictive_accuracy: 0.8325, prior_entropy: 0.6541, recall: 0.8325, relative_absolute_error: 0.9394, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3616, root_relative_squared_error: 0.9662, scimark_benchmark: 1759.9805, usercpu_time_millis: 217.613, usercpu_time_millis_testing: 6.31, usercpu_time_millis_training: 211.303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6887, f_measure: 0.7592, kappa: 0.0168, kb_relative_information_score: -2580.1811, mean_absolute_error: 0.2623, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7765, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9364, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3618, root_relative_squared_error: 0.9668, scimark_benchmark: 1835.7111, usercpu_time_millis: 150.65, usercpu_time_millis_testing: 1.935, usercpu_time_millis_training: 148.715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7551, kb_relative_information_score: -5.0296, 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: 1755.7737, usercpu_time_millis: 27.424, usercpu_time_millis_testing: 4.621, usercpu_time_millis_training: 22.803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6945, f_measure: 0.767, kappa: 0.0496, kb_relative_information_score: -2252.8362, mean_absolute_error: 0.26, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7953, predictive_accuracy: 0.8335, prior_entropy: 0.6541, recall: 0.8335, relative_absolute_error: 0.9283, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3603, root_relative_squared_error: 0.9627, scimark_benchmark: 1829.632, usercpu_time_millis: 1627.96, usercpu_time_millis_testing: 20.979, usercpu_time_millis_training: 1606.981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6866, f_measure: 0.7551, kb_relative_information_score: -2354.1417, 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: 0.3631, root_relative_squared_error: 0.9704, scimark_benchmark: 1719.5329, usercpu_time_millis: 362.867, usercpu_time_millis_testing: 18.88, usercpu_time_millis_training: 343.987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6823, f_measure: 0.7571, kappa: 0.0081, kb_relative_information_score: -2498.7667, mean_absolute_error: 0.2641, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7744, predictive_accuracy: 0.8315, prior_entropy: 0.6541, recall: 0.8315, relative_absolute_error: 0.9428, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3627, root_relative_squared_error: 0.9692, scimark_benchmark: 1829.609, usercpu_time_millis: 67.348, usercpu_time_millis_testing: 0.949, usercpu_time_millis_training: 66.399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6451, f_measure: 0.7551, kb_relative_information_score: -2090.4376, 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: 0.3694, root_relative_squared_error: 0.987, scimark_benchmark: 2120.0789, usercpu_time_millis: 15.854, usercpu_time_millis_testing: 1.017, usercpu_time_millis_training: 14.837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.674, f_measure: 0.7552, kappa: 0.0005, kb_relative_information_score: -3058.0873, mean_absolute_error: 0.2677, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7547, predictive_accuracy: 0.8315, prior_entropy: 0.6541, recall: 0.8315, relative_absolute_error: 0.9557, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3644, root_relative_squared_error: 0.9738, scimark_benchmark: 1839.0801, usercpu_time_millis: 95.159, usercpu_time_millis_testing: 3.955, usercpu_time_millis_training: 91.204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6597, f_measure: 0.7551, kb_relative_information_score: -2753.5731, 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: 0.9757, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3677, root_relative_squared_error: 0.9826, scimark_benchmark: 1835.1458, usercpu_time_millis: 53.281, usercpu_time_millis_testing: 3.227, usercpu_time_millis_training: 50.054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6593, f_measure: 0.7551, kb_relative_information_score: -2603.2822, 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: 0.9833, scimark_benchmark: 1846.9558, usercpu_time_millis: 26.918, usercpu_time_millis_testing: 1.392, usercpu_time_millis_training: 25.526,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6962, f_measure: 0.7689, kappa: 0.0576, kb_relative_information_score: -2342.8667, mean_absolute_error: 0.2598, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8001, predictive_accuracy: 0.8343, prior_entropy: 0.6541, recall: 0.8343, relative_absolute_error: 0.9275, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3596, root_relative_squared_error: 0.9608, scimark_benchmark: 1742.0079, usercpu_time_millis: 279.493, usercpu_time_millis_testing: 4.863, usercpu_time_millis_training: 274.63,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6865, f_measure: 0.7589, kappa: 0.0157, kb_relative_information_score: -2728.0532, mean_absolute_error: 0.2623, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7685, predictive_accuracy: 0.8311, prior_entropy: 0.6541, recall: 0.8311, relative_absolute_error: 0.9362, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3623, root_relative_squared_error: 0.968, scimark_benchmark: 1720.0398, usercpu_time_millis: 266.542, usercpu_time_millis_testing: 2.969, usercpu_time_millis_training: 263.573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6847, f_measure: 0.7568, kappa: 0.007, kb_relative_information_score: -2473.4609, mean_absolute_error: 0.2642, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7931, predictive_accuracy: 0.8319, prior_entropy: 0.6541, recall: 0.8319, relative_absolute_error: 0.9433, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3624, root_relative_squared_error: 0.9684, scimark_benchmark: 1715.1285, usercpu_time_millis: 255.397, usercpu_time_millis_testing: 6.567, usercpu_time_millis_training: 248.83,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6777, f_measure: 0.7551, kb_relative_information_score: -2679.193, 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: 0.9616, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3647, root_relative_squared_error: 0.9745, scimark_benchmark: 1727.2167, usercpu_time_millis: 201.488, usercpu_time_millis_testing: 10.504, usercpu_time_millis_training: 190.984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6832, f_measure: 0.756, kappa: 0.0037, kb_relative_information_score: -2477.479, mean_absolute_error: 0.2649, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7837, predictive_accuracy: 0.8317, prior_entropy: 0.6541, recall: 0.8317, relative_absolute_error: 0.9457, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3627, root_relative_squared_error: 0.9691, scimark_benchmark: 1724.9868, usercpu_time_millis: 151.55, usercpu_time_millis_testing: 4.499, usercpu_time_millis_training: 147.051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6704, f_measure: 0.7572, kappa: 0.0085, kb_relative_information_score: -3140.4223, mean_absolute_error: 0.2677, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7998, predictive_accuracy: 0.832, prior_entropy: 0.6541, recall: 0.832, relative_absolute_error: 0.9557, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3648, root_relative_squared_error: 0.9747, scimark_benchmark: 1731.1029, usercpu_time_millis: 144.915, usercpu_time_millis_testing: 5.767, usercpu_time_millis_training: 139.148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6886, f_measure: 0.7589, kappa: 0.0157, kb_relative_information_score: -2488.9539, mean_absolute_error: 0.2626, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7921, predictive_accuracy: 0.8322, prior_entropy: 0.6541, recall: 0.8322, relative_absolute_error: 0.9373, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3618, root_relative_squared_error: 0.9667, scimark_benchmark: 1847.8629, usercpu_time_millis: 300.076, usercpu_time_millis_testing: 6.496, usercpu_time_millis_training: 293.58,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6435, f_measure: 0.7551, kb_relative_information_score: -3919.3721, 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: 0.9704, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.368, root_relative_squared_error: 0.9832, scimark_benchmark: 1849.7595, usercpu_time_millis: 54.453, usercpu_time_millis_testing: 2.957, usercpu_time_millis_training: 51.496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6938, f_measure: 0.7602, kappa: 0.0211, kb_relative_information_score: -2360.9772, mean_absolute_error: 0.2615, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7951, predictive_accuracy: 0.8325, prior_entropy: 0.6541, recall: 0.8325, relative_absolute_error: 0.9335, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3608, root_relative_squared_error: 0.964, scimark_benchmark: 1733.7613, usercpu_time_millis: 115.673, usercpu_time_millis_testing: 2.24, usercpu_time_millis_training: 113.433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6192, f_measure: 0.7551, kb_relative_information_score: -2506.0658, mean_absolute_error: 0.276, 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: 0.9854, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3704, root_relative_squared_error: 0.9896, scimark_benchmark: 1757.4513, usercpu_time_millis: 64.635, usercpu_time_millis_testing: 5.112, usercpu_time_millis_training: 59.523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6886, f_measure: 0.7552, kappa: 0.0004, kb_relative_information_score: -2363.1125, mean_absolute_error: 0.2671, 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: 0.9534, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3627, root_relative_squared_error: 0.9693, scimark_benchmark: 1720.9018, usercpu_time_millis: 39.878, usercpu_time_millis_testing: 2.657, usercpu_time_millis_training: 37.221,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7551, kb_relative_information_score: -13.7483, 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: 1897.4813, usercpu_time_millis: 13.752, usercpu_time_millis_testing: 1.307, usercpu_time_millis_training: 12.445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7551, kb_relative_information_score: -7.3684, 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: 1897.7287, usercpu_time_millis: 13.573, usercpu_time_millis_testing: 1.878, usercpu_time_millis_training: 11.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6952, f_measure: 0.767, kappa: 0.0494, kb_relative_information_score: -2384.0842, mean_absolute_error: 0.2607, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7985, predictive_accuracy: 0.8338, prior_entropy: 0.6541, recall: 0.8338, relative_absolute_error: 0.9305, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3599, root_relative_squared_error: 0.9617, scimark_benchmark: 1723.0743, usercpu_time_millis: 422.232, usercpu_time_millis_testing: 8.632, usercpu_time_millis_training: 413.6,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6874, f_measure: 0.7551, kb_relative_information_score: -2365.3967, 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: 0.3631, root_relative_squared_error: 0.9703, scimark_benchmark: 1749.1071, usercpu_time_millis: 322.818, usercpu_time_millis_testing: 17.61, usercpu_time_millis_training: 305.208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6657, f_measure: 0.7551, kb_relative_information_score: -3163.2742, mean_absolute_error: 0.2689, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9598, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3655, root_relative_squared_error: 0.9766, scimark_benchmark: 1691.9917, usercpu_time_millis: 272.457, usercpu_time_millis_testing: 7.552, usercpu_time_millis_training: 264.905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6916, f_measure: 0.7551, kb_relative_information_score: -1959.2761, 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: 0.3635, root_relative_squared_error: 0.9712, scimark_benchmark: 1739.4922, usercpu_time_millis: 262.285, usercpu_time_millis_testing: 14.263, usercpu_time_millis_training: 248.022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6592, f_measure: 0.7551, kb_relative_information_score: -3670.3454, 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: 0.9708, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3676, root_relative_squared_error: 0.9824, scimark_benchmark: 1747.5163, usercpu_time_millis: 133.783, usercpu_time_millis_testing: 10.056, usercpu_time_millis_training: 123.727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6848, f_measure: 0.7595, kappa: 0.0182, kb_relative_information_score: -2542.4814, mean_absolute_error: 0.2645, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8008, predictive_accuracy: 0.8325, prior_entropy: 0.6541, recall: 0.8325, relative_absolute_error: 0.9442, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3623, root_relative_squared_error: 0.9682, scimark_benchmark: 1768.7938, usercpu_time_millis: 135.005, usercpu_time_millis_testing: 6.39, usercpu_time_millis_training: 128.615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.649, f_measure: 0.7551, kb_relative_information_score: -1862.2864, 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: 0.9844, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3697, root_relative_squared_error: 0.9878, scimark_benchmark: 1728.3772, usercpu_time_millis: 45.011, usercpu_time_millis_testing: 5.43, usercpu_time_millis_training: 39.581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6728, f_measure: 0.7571, kappa: 0.0081, kb_relative_information_score: -3106.848, mean_absolute_error: 0.268, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.811, predictive_accuracy: 0.8321, prior_entropy: 0.6541, recall: 0.8321, relative_absolute_error: 0.9567, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3645, root_relative_squared_error: 0.974, scimark_benchmark: 1804.0131, usercpu_time_millis: 44.093, usercpu_time_millis_testing: 2.839, usercpu_time_millis_training: 41.254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6923, f_measure: 0.7685, kappa: 0.056, kb_relative_information_score: -2479.0156, mean_absolute_error: 0.2603, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7948, predictive_accuracy: 0.8337, prior_entropy: 0.6541, recall: 0.8337, relative_absolute_error: 0.9294, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3602, root_relative_squared_error: 0.9624, scimark_benchmark: 2144.7731, usercpu_time_millis: 832.884, usercpu_time_millis_testing: 11.732, usercpu_time_millis_training: 821.152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6896, f_measure: 0.7592, kappa: 0.017, kb_relative_information_score: -2427.3792, mean_absolute_error: 0.263, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8022, predictive_accuracy: 0.8325, prior_entropy: 0.6541, recall: 0.8325, relative_absolute_error: 0.939, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3616, root_relative_squared_error: 0.9662, scimark_benchmark: 1791.9446, usercpu_time_millis: 587.231, usercpu_time_millis_testing: 20.706, usercpu_time_millis_training: 566.525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6877, f_measure: 0.7599, kappa: 0.0198, kb_relative_information_score: -2506.5919, mean_absolute_error: 0.264, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8032, predictive_accuracy: 0.8327, prior_entropy: 0.6541, recall: 0.8327, relative_absolute_error: 0.9424, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3619, root_relative_squared_error: 0.9671, scimark_benchmark: 1731.5757, usercpu_time_millis: 173.435, usercpu_time_millis_testing: 6.822, usercpu_time_millis_training: 166.613,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7551, kb_relative_information_score: 0.2024, 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: 1759.4601, usercpu_time_millis: 50.792, usercpu_time_millis_testing: 8.072, usercpu_time_millis_training: 42.72,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6876, f_measure: 0.7668, kappa: 0.0489, kb_relative_information_score: -3268.478, mean_absolute_error: 0.2638, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.794, predictive_accuracy: 0.8334, prior_entropy: 0.6541, recall: 0.8334, relative_absolute_error: 0.9419, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3611, root_relative_squared_error: 0.9648, scimark_benchmark: 1718.2275, usercpu_time_millis: 556.28, usercpu_time_millis_testing: 18.138, usercpu_time_millis_training: 538.142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6887, f_measure: 0.7551, kappa: -0.0002, kb_relative_information_score: -2425.0078, mean_absolute_error: 0.2652, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8315, prior_entropy: 0.6541, recall: 0.8315, relative_absolute_error: 0.9467, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3622, root_relative_squared_error: 0.9678, scimark_benchmark: 1787.2728, usercpu_time_millis: 272.016, usercpu_time_millis_testing: 11.269, usercpu_time_millis_training: 260.747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7551, kb_relative_information_score: -19.7066, 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: 1727.9566, usercpu_time_millis: 6.862, usercpu_time_millis_testing: 0.804, usercpu_time_millis_training: 6.058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7551, kb_relative_information_score: -11.557, 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: 1755.2886, usercpu_time_millis: 20.289, usercpu_time_millis_testing: 3.143, usercpu_time_millis_training: 17.146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6973, f_measure: 0.7572, kappa: 0.0084, kb_relative_information_score: -1941.6773, mean_absolute_error: 0.2676, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8269, predictive_accuracy: 0.8323, prior_entropy: 0.6541, recall: 0.8323, relative_absolute_error: 0.9554, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3618, root_relative_squared_error: 0.9666, scimark_benchmark: 1758.3067, usercpu_time_millis: 155.575, usercpu_time_millis_testing: 10.831, usercpu_time_millis_training: 144.744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.69, f_measure: 0.7614, kappa: 0.0259, kb_relative_information_score: -2555.54, mean_absolute_error: 0.2629, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8026, predictive_accuracy: 0.833, prior_entropy: 0.6541, recall: 0.833, relative_absolute_error: 0.9386, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3613, root_relative_squared_error: 0.9655, scimark_benchmark: 1842.1882, usercpu_time_millis: 422.78, usercpu_time_millis_testing: 18.449, usercpu_time_millis_training: 404.331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6886, f_measure: 0.7586, kappa: 0.0145, kb_relative_information_score: -2505.9869, mean_absolute_error: 0.2625, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7884, predictive_accuracy: 0.832, prior_entropy: 0.6541, recall: 0.832, relative_absolute_error: 0.9373, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3618, root_relative_squared_error: 0.9668, scimark_benchmark: 1752.4906, usercpu_time_millis: 307.439, usercpu_time_millis_testing: 5.948, usercpu_time_millis_training: 301.491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6893, f_measure: 0.7653, kappa: 0.0426, kb_relative_information_score: -2916.2256, mean_absolute_error: 0.2627, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7945, predictive_accuracy: 0.8332, prior_entropy: 0.6541, recall: 0.8332, relative_absolute_error: 0.9378, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3608, root_relative_squared_error: 0.9642, scimark_benchmark: 1841.6688, usercpu_time_millis: 286.049, usercpu_time_millis_testing: 8.251, usercpu_time_millis_training: 277.798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7551, kb_relative_information_score: -8.89, 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: 1845.9795, usercpu_time_millis: 41.908, usercpu_time_millis_testing: 7.053, usercpu_time_millis_training: 34.855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7551, kb_relative_information_score: -17.7774, 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: 1782.3796, usercpu_time_millis: 35.123, usercpu_time_millis_testing: 2.956, usercpu_time_millis_training: 32.167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6952, f_measure: 0.7659, kappa: 0.045, kb_relative_information_score: -2337.0413, mean_absolute_error: 0.2614, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8038, predictive_accuracy: 0.834, prior_entropy: 0.6541, recall: 0.834, relative_absolute_error: 0.9331, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3597, root_relative_squared_error: 0.9611, scimark_benchmark: 1738.3841, usercpu_time_millis: 27.611, usercpu_time_millis_testing: 0.852, usercpu_time_millis_training: 26.759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6524, f_measure: 0.7551, kb_relative_information_score: -1283.8277, 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: 0.9884, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3705, root_relative_squared_error: 0.9901, scimark_benchmark: 1716.429, usercpu_time_millis: 25.246, usercpu_time_millis_testing: 2.743, usercpu_time_millis_training: 22.503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6907, f_measure: 0.7589, kappa: 0.0154, kb_relative_information_score: -2488.5506, mean_absolute_error: 0.2627, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7934, predictive_accuracy: 0.8322, prior_entropy: 0.6541, recall: 0.8322, relative_absolute_error: 0.9379, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3614, root_relative_squared_error: 0.9657, scimark_benchmark: 1774.7386, usercpu_time_millis: 24.048, usercpu_time_millis_testing: 0.492, usercpu_time_millis_training: 23.556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6948, f_measure: 0.7551, kb_relative_information_score: -1867.1315, 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: 0.9567, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3627, root_relative_squared_error: 0.9691, scimark_benchmark: 1743.8723, usercpu_time_millis: 292.162, usercpu_time_millis_testing: 19.813, usercpu_time_millis_training: 272.349,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6896, f_measure: 0.7582, kappa: 0.0126, kb_relative_information_score: -2456.9344, mean_absolute_error: 0.2629, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7949, predictive_accuracy: 0.8321, prior_entropy: 0.6541, recall: 0.8321, relative_absolute_error: 0.9387, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3616, root_relative_squared_error: 0.9663, scimark_benchmark: 1748.4494, usercpu_time_millis: 209.517, usercpu_time_millis_testing: 4.287, usercpu_time_millis_training: 205.23,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6961, f_measure: 0.7551, kappa: -0.0001, kb_relative_information_score: -1845.8356, mean_absolute_error: 0.2677, 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: 0.9556, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3624, root_relative_squared_error: 0.9683, scimark_benchmark: 1851.4874, usercpu_time_millis: 151.751, usercpu_time_millis_testing: 10.798, usercpu_time_millis_training: 140.953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6871, f_measure: 0.7573, kappa: 0.0089, kb_relative_information_score: -2480.6625, mean_absolute_error: 0.2636, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7874, predictive_accuracy: 0.8318, prior_entropy: 0.6541, recall: 0.8318, relative_absolute_error: 0.941, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.362, root_relative_squared_error: 0.9674, scimark_benchmark: 1723.4114, usercpu_time_millis: 444.476, usercpu_time_millis_testing: 11.615, usercpu_time_millis_training: 432.861,

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