OpenML
Supervised Classification on electricity

Supervised Classification on electricity

Task 219 Supervised Classification electricity 77718 runs submitted
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  • at2 mythbusting_1 OpenML-CC18 OpenML100 study_1 study_123 study_14 study_15 study_20 study_41 study_7 study_70 study_99 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9491, f_measure: 0.8741, kappa: 0.7419, kb_relative_information_score: 26759.8298, mean_absolute_error: 0.2148, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8742, predictive_accuracy: 0.8744, prior_entropy: 0.9835, recall: 0.8744, relative_absolute_error: 0.4395, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3043, root_relative_squared_error: 0.6157, scimark_benchmark: 1242.3173, usercpu_time_millis: 954.904, usercpu_time_millis_testing: 28.397, usercpu_time_millis_training: 926.507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9579, f_measure: 0.8879, kappa: 0.7703, kb_relative_information_score: 28090.4126, mean_absolute_error: 0.2007, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8879, predictive_accuracy: 0.8881, prior_entropy: 0.9835, recall: 0.8881, relative_absolute_error: 0.4109, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2905, root_relative_squared_error: 0.5877, scimark_benchmark: 1229.1576, usercpu_time_millis: 1143.305, usercpu_time_millis_testing: 47.932, usercpu_time_millis_training: 1095.373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8895, f_measure: 0.8129, kappa: 0.6153, kb_relative_information_score: 19861.731, mean_absolute_error: 0.29, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8141, predictive_accuracy: 0.8144, prior_entropy: 0.9835, recall: 0.8144, relative_absolute_error: 0.5936, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3669, root_relative_squared_error: 0.7423, scimark_benchmark: 1244.6787, usercpu_time_millis: 1126.852, usercpu_time_millis_testing: 81.1, usercpu_time_millis_training: 1045.752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9184, f_measure: 0.8349, kappa: 0.6609, kb_relative_information_score: 22182.6768, mean_absolute_error: 0.2663, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8356, predictive_accuracy: 0.8359, prior_entropy: 0.9835, recall: 0.8359, relative_absolute_error: 0.5449, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3427, root_relative_squared_error: 0.6934, scimark_benchmark: 1240.4145, usercpu_time_millis: 336.148, usercpu_time_millis_testing: 24.254, usercpu_time_millis_training: 311.894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8786, f_measure: 0.8008, kappa: 0.5904, kb_relative_information_score: 18960.9285, mean_absolute_error: 0.2997, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8027, predictive_accuracy: 0.8028, prior_entropy: 0.9835, recall: 0.8028, relative_absolute_error: 0.6134, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3751, root_relative_squared_error: 0.759, scimark_benchmark: 1247.6538, usercpu_time_millis: 375.114, usercpu_time_millis_testing: 30.028, usercpu_time_millis_training: 345.086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9549, f_measure: 0.8819, kappa: 0.7579, kb_relative_information_score: 27369.1086, mean_absolute_error: 0.2096, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.882, predictive_accuracy: 0.8822, prior_entropy: 0.9835, recall: 0.8822, relative_absolute_error: 0.4289, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2955, root_relative_squared_error: 0.5978, scimark_benchmark: 1240.4352, usercpu_time_millis: 84.086, usercpu_time_millis_testing: 5.28, usercpu_time_millis_training: 78.806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9091, f_measure: 0.8248, kappa: 0.64, kb_relative_information_score: 21635.3802, mean_absolute_error: 0.2711, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8255, predictive_accuracy: 0.8259, prior_entropy: 0.9835, recall: 0.8259, relative_absolute_error: 0.5549, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3505, root_relative_squared_error: 0.7091, scimark_benchmark: 1238.4835, usercpu_time_millis: 1978.553, usercpu_time_millis_testing: 114.549, usercpu_time_millis_training: 1864.004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9051, f_measure: 0.823, kappa: 0.636, kb_relative_information_score: 20676.7734, mean_absolute_error: 0.2827, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8244, predictive_accuracy: 0.8244, prior_entropy: 0.9835, recall: 0.8244, relative_absolute_error: 0.5785, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3556, root_relative_squared_error: 0.7194, scimark_benchmark: 1252.5041, usercpu_time_millis: 1682.411, usercpu_time_millis_testing: 103.93, usercpu_time_millis_training: 1578.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8843, f_measure: 0.8085, kappa: 0.6061, kb_relative_information_score: 19301.4657, mean_absolute_error: 0.2962, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.81, predictive_accuracy: 0.8101, prior_entropy: 0.9835, recall: 0.8101, relative_absolute_error: 0.6062, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3713, root_relative_squared_error: 0.7512, scimark_benchmark: 1250.1298, usercpu_time_millis: 191.593, usercpu_time_millis_testing: 12.214, usercpu_time_millis_training: 179.379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9074, f_measure: 0.8251, kappa: 0.6411, kb_relative_information_score: 22156.8866, mean_absolute_error: 0.2643, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8252, predictive_accuracy: 0.8257, prior_entropy: 0.9835, recall: 0.8257, relative_absolute_error: 0.5409, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3502, root_relative_squared_error: 0.7086, scimark_benchmark: 1247.5711, usercpu_time_millis: 245.963, usercpu_time_millis_testing: 19.217, usercpu_time_millis_training: 226.746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8234, f_measure: 0.7571, kappa: 0.5, kb_relative_information_score: 16067.9677, mean_absolute_error: 0.329, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7623, predictive_accuracy: 0.7615, prior_entropy: 0.9835, recall: 0.7615, relative_absolute_error: 0.6732, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4065, root_relative_squared_error: 0.8224, scimark_benchmark: 1320.6413, usercpu_time_millis: 4450.394, usercpu_time_millis_testing: 28.065, usercpu_time_millis_training: 4422.329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9502, f_measure: 0.8742, kappa: 0.742, kb_relative_information_score: 26490.6084, mean_absolute_error: 0.2194, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8743, predictive_accuracy: 0.8746, prior_entropy: 0.9835, recall: 0.8746, relative_absolute_error: 0.449, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3033, root_relative_squared_error: 0.6136, scimark_benchmark: 1252.6241, usercpu_time_millis: 100.736, usercpu_time_millis_testing: 6.704, usercpu_time_millis_training: 94.032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9417, f_measure: 0.8611, kappa: 0.7151, kb_relative_information_score: 25689.4116, mean_absolute_error: 0.2265, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8612, predictive_accuracy: 0.8615, prior_entropy: 0.9835, recall: 0.8615, relative_absolute_error: 0.4635, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3145, root_relative_squared_error: 0.6363, scimark_benchmark: 1239.6751, usercpu_time_millis: 2637.777, usercpu_time_millis_testing: 96.914, usercpu_time_millis_training: 2540.863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9391, f_measure: 0.8587, kappa: 0.7103, kb_relative_information_score: 25850.8861, mean_absolute_error: 0.2236, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8587, predictive_accuracy: 0.859, prior_entropy: 0.9835, recall: 0.859, relative_absolute_error: 0.4577, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3163, root_relative_squared_error: 0.64, scimark_benchmark: 1240.2889, usercpu_time_millis: 198.168, usercpu_time_millis_testing: 6.202, usercpu_time_millis_training: 191.966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9506, f_measure: 0.8794, kappa: 0.7528, kb_relative_information_score: 27722.5032, mean_absolute_error: 0.2036, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8794, predictive_accuracy: 0.8796, prior_entropy: 0.9835, recall: 0.8796, relative_absolute_error: 0.4166, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2989, root_relative_squared_error: 0.6046, scimark_benchmark: 1244.675, usercpu_time_millis: 42.169, usercpu_time_millis_testing: 2.261, usercpu_time_millis_training: 39.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8241, f_measure: 0.7569, kappa: 0.4996, kb_relative_information_score: 15968.5963, mean_absolute_error: 0.3303, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7623, predictive_accuracy: 0.7614, prior_entropy: 0.9835, recall: 0.7614, relative_absolute_error: 0.6759, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4062, root_relative_squared_error: 0.8218, scimark_benchmark: 1320.5652, usercpu_time_millis: 4714.789, usercpu_time_millis_testing: 25.01, usercpu_time_millis_training: 4689.779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8752, f_measure: 0.7876, kappa: 0.563, kb_relative_information_score: 15545.3027, mean_absolute_error: 0.3409, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7979, predictive_accuracy: 0.7927, prior_entropy: 0.9835, recall: 0.7927, relative_absolute_error: 0.6977, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.388, root_relative_squared_error: 0.785, scimark_benchmark: 1237.729, usercpu_time_millis: 83.302, usercpu_time_millis_testing: 7.026, usercpu_time_millis_training: 76.276,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9539, f_measure: 0.8832, kappa: 0.7607, kb_relative_information_score: 28952.1392, mean_absolute_error: 0.1882, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8831, predictive_accuracy: 0.8833, prior_entropy: 0.9835, recall: 0.8833, relative_absolute_error: 0.3852, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2923, root_relative_squared_error: 0.5915, scimark_benchmark: 1238.4993, usercpu_time_millis: 730.932, usercpu_time_millis_testing: 13.652, usercpu_time_millis_training: 717.28,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8983, f_measure: 0.8177, kappa: 0.6256, kb_relative_information_score: 20826.9626, mean_absolute_error: 0.2794, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8182, predictive_accuracy: 0.8187, prior_entropy: 0.9835, recall: 0.8187, relative_absolute_error: 0.5719, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3592, root_relative_squared_error: 0.7268, scimark_benchmark: 1244.5976, usercpu_time_millis: 855.914, usercpu_time_millis_testing: 55.904, usercpu_time_millis_training: 800.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9433, f_measure: 0.8666, kappa: 0.7267, kb_relative_information_score: 26637.3226, mean_absolute_error: 0.2148, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8666, predictive_accuracy: 0.8668, prior_entropy: 0.9835, recall: 0.8668, relative_absolute_error: 0.4396, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3102, root_relative_squared_error: 0.6275, scimark_benchmark: 1241.6748, usercpu_time_millis: 1574.793, usercpu_time_millis_testing: 39.966, usercpu_time_millis_training: 1534.827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9042, f_measure: 0.821, kappa: 0.6327, kb_relative_information_score: 22081.4484, mean_absolute_error: 0.2642, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8211, predictive_accuracy: 0.8216, prior_entropy: 0.9835, recall: 0.8216, relative_absolute_error: 0.5408, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.353, root_relative_squared_error: 0.7142, scimark_benchmark: 1232.3513, usercpu_time_millis: 1695.487, usercpu_time_millis_testing: 69.855, usercpu_time_millis_training: 1625.632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9515, f_measure: 0.8795, kappa: 0.753, kb_relative_information_score: 27478.0083, mean_absolute_error: 0.2064, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8794, predictive_accuracy: 0.8796, prior_entropy: 0.9835, recall: 0.8796, relative_absolute_error: 0.4223, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2995, root_relative_squared_error: 0.6059, scimark_benchmark: 1237.5403, usercpu_time_millis: 552.745, usercpu_time_millis_testing: 18.381, usercpu_time_millis_training: 534.364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9182, f_measure: 0.8357, kappa: 0.6629, kb_relative_information_score: 23458.3338, mean_absolute_error: 0.2493, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8357, predictive_accuracy: 0.8362, prior_entropy: 0.9835, recall: 0.8362, relative_absolute_error: 0.5101, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3399, root_relative_squared_error: 0.6877, scimark_benchmark: 1231.3935, usercpu_time_millis: 1680.332, usercpu_time_millis_testing: 58.482, usercpu_time_millis_training: 1621.85,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9659, f_measure: 0.9006, kappa: 0.7965, kb_relative_information_score: 29922.0016, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9006, predictive_accuracy: 0.9007, prior_entropy: 0.9835, recall: 0.9007, relative_absolute_error: 0.3684, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.274, root_relative_squared_error: 0.5544, scimark_benchmark: 1234.5822, usercpu_time_millis: 1741.368, usercpu_time_millis_testing: 60.791, usercpu_time_millis_training: 1680.577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.9247, kappa: 0.8457, kb_relative_information_score: 33110.3246, mean_absolute_error: 0.1437, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9246, predictive_accuracy: 0.9247, prior_entropy: 0.9835, recall: 0.9247, relative_absolute_error: 0.2942, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2424, root_relative_squared_error: 0.4903, scimark_benchmark: 1231.6538, usercpu_time_millis: 701.838, usercpu_time_millis_testing: 20.2, usercpu_time_millis_training: 681.638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9604, f_measure: 0.8912, kappa: 0.777, kb_relative_information_score: 28566.737, mean_absolute_error: 0.1953, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8912, predictive_accuracy: 0.8914, prior_entropy: 0.9835, recall: 0.8914, relative_absolute_error: 0.3997, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2862, root_relative_squared_error: 0.579, scimark_benchmark: 1234.5107, usercpu_time_millis: 616.23, usercpu_time_millis_testing: 20.966, usercpu_time_millis_training: 595.264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9302, f_measure: 0.8498, kappa: 0.692, kb_relative_information_score: 24858.868, mean_absolute_error: 0.2342, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8499, predictive_accuracy: 0.8502, prior_entropy: 0.9835, recall: 0.8502, relative_absolute_error: 0.4793, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3268, root_relative_squared_error: 0.6611, scimark_benchmark: 1240.7985, usercpu_time_millis: 3212.599, usercpu_time_millis_testing: 116.259, usercpu_time_millis_training: 3096.34,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9528, f_measure: 0.8807, kappa: 0.7554, kb_relative_information_score: 26997.2755, mean_absolute_error: 0.2133, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8807, predictive_accuracy: 0.881, prior_entropy: 0.9835, recall: 0.881, relative_absolute_error: 0.4365, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2995, root_relative_squared_error: 0.6059, scimark_benchmark: 1247.299, usercpu_time_millis: 516.352, usercpu_time_millis_testing: 33.661, usercpu_time_millis_training: 482.691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9701, f_measure: 0.9074, kappa: 0.8105, kb_relative_information_score: 31491.3587, mean_absolute_error: 0.1611, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9074, predictive_accuracy: 0.9075, prior_entropy: 0.9835, recall: 0.9075, relative_absolute_error: 0.3296, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2624, root_relative_squared_error: 0.531, scimark_benchmark: 1252.7978, usercpu_time_millis: 2637.173, usercpu_time_millis_testing: 58.092, usercpu_time_millis_training: 2579.081,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.931, f_measure: 0.8498, kappa: 0.692, kb_relative_information_score: 24977.8286, mean_absolute_error: 0.2328, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8498, predictive_accuracy: 0.8502, prior_entropy: 0.9835, recall: 0.8502, relative_absolute_error: 0.4765, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3259, root_relative_squared_error: 0.6593, scimark_benchmark: 1239.498, usercpu_time_millis: 204.927, usercpu_time_millis_testing: 5.894, usercpu_time_millis_training: 199.033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9075, f_measure: 0.8243, kappa: 0.6385, kb_relative_information_score: 19077.6425, mean_absolute_error: 0.3032, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8265, predictive_accuracy: 0.826, prior_entropy: 0.9835, recall: 0.826, relative_absolute_error: 0.6206, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3601, root_relative_squared_error: 0.7286, scimark_benchmark: 1241.1202, usercpu_time_millis: 1389.22, usercpu_time_millis_testing: 98.482, usercpu_time_millis_training: 1290.738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8962, f_measure: 0.8172, kappa: 0.625, kb_relative_information_score: 21258.5784, mean_absolute_error: 0.2737, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8171, predictive_accuracy: 0.8176, prior_entropy: 0.9835, recall: 0.8176, relative_absolute_error: 0.5601, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3598, root_relative_squared_error: 0.7279, scimark_benchmark: 1246.4786, usercpu_time_millis: 1641.171, usercpu_time_millis_testing: 83.068, usercpu_time_millis_training: 1558.103,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9394, f_measure: 0.8586, kappa: 0.7099, kb_relative_information_score: 24746.3093, mean_absolute_error: 0.2386, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8589, predictive_accuracy: 0.8592, prior_entropy: 0.9835, recall: 0.8592, relative_absolute_error: 0.4884, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.319, root_relative_squared_error: 0.6454, scimark_benchmark: 1239.5235, usercpu_time_millis: 283.363, usercpu_time_millis_testing: 18.976, usercpu_time_millis_training: 264.387,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.939, f_measure: 0.8583, kappa: 0.7093, kb_relative_information_score: 25538.3588, mean_absolute_error: 0.2277, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8583, predictive_accuracy: 0.8586, prior_entropy: 0.9835, recall: 0.8586, relative_absolute_error: 0.466, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3173, root_relative_squared_error: 0.642, scimark_benchmark: 1250.2912, usercpu_time_millis: 1127.692, usercpu_time_millis_testing: 45.818, usercpu_time_millis_training: 1081.874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9082, f_measure: 0.8253, kappa: 0.6411, kb_relative_information_score: 21564.8091, mean_absolute_error: 0.2719, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.826, predictive_accuracy: 0.8263, prior_entropy: 0.9835, recall: 0.8263, relative_absolute_error: 0.5564, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3513, root_relative_squared_error: 0.7106, scimark_benchmark: 1198.1679, usercpu_time_millis: 812.793, usercpu_time_millis_testing: 49.751, usercpu_time_millis_training: 763.042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9402, f_measure: 0.8623, kappa: 0.7176, kb_relative_information_score: 25644.7147, mean_absolute_error: 0.2272, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8623, predictive_accuracy: 0.8626, prior_entropy: 0.9835, recall: 0.8626, relative_absolute_error: 0.465, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3155, root_relative_squared_error: 0.6382, scimark_benchmark: 1250.9544, usercpu_time_millis: 478.723, usercpu_time_millis_testing: 29.726, usercpu_time_millis_training: 448.997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9147, f_measure: 0.8304, kappa: 0.6515, kb_relative_information_score: 21731.7089, mean_absolute_error: 0.2712, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8312, predictive_accuracy: 0.8314, prior_entropy: 0.9835, recall: 0.8314, relative_absolute_error: 0.555, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3465, root_relative_squared_error: 0.7011, scimark_benchmark: 1252.4469, usercpu_time_millis: 1839.442, usercpu_time_millis_testing: 106.967, usercpu_time_millis_training: 1732.475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.882, f_measure: 0.7942, kappa: 0.5764, kb_relative_information_score: 16270.6249, mean_absolute_error: 0.3332, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8021, predictive_accuracy: 0.7984, prior_entropy: 0.9835, recall: 0.7984, relative_absolute_error: 0.6819, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3825, root_relative_squared_error: 0.7738, scimark_benchmark: 1255.1206, usercpu_time_millis: 1101.486, usercpu_time_millis_testing: 89.221, usercpu_time_millis_training: 1012.265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9509, f_measure: 0.8787, kappa: 0.7516, kb_relative_information_score: 27753.2922, mean_absolute_error: 0.2026, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8787, predictive_accuracy: 0.8789, prior_entropy: 0.9835, recall: 0.8789, relative_absolute_error: 0.4147, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2993, root_relative_squared_error: 0.6055, scimark_benchmark: 1249.4032, usercpu_time_millis: 415.598, usercpu_time_millis_testing: 9.46, usercpu_time_millis_training: 406.138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8502, f_measure: 0.7505, kappa: 0.4875, kb_relative_information_score: 16288.8471, mean_absolute_error: 0.3242, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7649, predictive_accuracy: 0.7585, prior_entropy: 0.9835, recall: 0.7585, relative_absolute_error: 0.6636, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3988, root_relative_squared_error: 0.8069, scimark_benchmark: 1323.0792, usercpu_time_millis: 6338.783, usercpu_time_millis_testing: 28.27, usercpu_time_millis_training: 6310.513,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9329, f_measure: 0.8515, kappa: 0.6952, kb_relative_information_score: 24570.6417, mean_absolute_error: 0.2389, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8517, predictive_accuracy: 0.852, prior_entropy: 0.9835, recall: 0.852, relative_absolute_error: 0.489, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.325, root_relative_squared_error: 0.6576, scimark_benchmark: 1249.2471, usercpu_time_millis: 2221.57, usercpu_time_millis_testing: 140.215, usercpu_time_millis_training: 2081.355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9355, f_measure: 0.8528, kappa: 0.6979, kb_relative_information_score: 24912.5418, mean_absolute_error: 0.2348, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8529, predictive_accuracy: 0.8532, prior_entropy: 0.9835, recall: 0.8532, relative_absolute_error: 0.4805, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3222, root_relative_squared_error: 0.6518, scimark_benchmark: 1243.2044, usercpu_time_millis: 1725.014, usercpu_time_millis_testing: 60.779, usercpu_time_millis_training: 1664.235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9351, f_measure: 0.8517, kappa: 0.6956, kb_relative_information_score: 24604.6222, mean_absolute_error: 0.2387, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8519, predictive_accuracy: 0.8523, prior_entropy: 0.9835, recall: 0.8523, relative_absolute_error: 0.4886, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3234, root_relative_squared_error: 0.6543, scimark_benchmark: 1251.0668, usercpu_time_millis: 1946.986, usercpu_time_millis_testing: 85.074, usercpu_time_millis_training: 1861.912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9643, f_measure: 0.8986, kappa: 0.7923, kb_relative_information_score: 29571.7697, mean_absolute_error: 0.1839, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8985, predictive_accuracy: 0.8987, prior_entropy: 0.9835, recall: 0.8987, relative_absolute_error: 0.3765, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2774, root_relative_squared_error: 0.5613, scimark_benchmark: 1255.6134, usercpu_time_millis: 599.862, usercpu_time_millis_testing: 20.875, usercpu_time_millis_training: 578.987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.883, f_measure: 0.8054, kappa: 0.6004, kb_relative_information_score: 19690.8066, mean_absolute_error: 0.2914, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8056, predictive_accuracy: 0.8063, prior_entropy: 0.9835, recall: 0.8063, relative_absolute_error: 0.5964, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3709, root_relative_squared_error: 0.7503, scimark_benchmark: 1248.0609, usercpu_time_millis: 646.834, usercpu_time_millis_testing: 39.677, usercpu_time_millis_training: 607.157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8968, f_measure: 0.8171, kappa: 0.6244, kb_relative_information_score: 20948.6652, mean_absolute_error: 0.2777, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8172, predictive_accuracy: 0.8178, prior_entropy: 0.9835, recall: 0.8178, relative_absolute_error: 0.5683, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3599, root_relative_squared_error: 0.7281, scimark_benchmark: 1256.2947, usercpu_time_millis: 146.389, usercpu_time_millis_testing: 8.309, usercpu_time_millis_training: 138.08,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9366, f_measure: 0.8563, kappa: 0.7053, kb_relative_information_score: 25205.7065, mean_absolute_error: 0.2317, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8564, predictive_accuracy: 0.8567, prior_entropy: 0.9835, recall: 0.8567, relative_absolute_error: 0.4742, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3201, root_relative_squared_error: 0.6476, scimark_benchmark: 1258.8274, usercpu_time_millis: 405.411, usercpu_time_millis_testing: 21.52, usercpu_time_millis_training: 383.891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9696, f_measure: 0.9069, kappa: 0.8094, kb_relative_information_score: 30692.2515, mean_absolute_error: 0.1713, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9069, predictive_accuracy: 0.907, prior_entropy: 0.9835, recall: 0.907, relative_absolute_error: 0.3506, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2662, root_relative_squared_error: 0.5386, scimark_benchmark: 1254.6649, usercpu_time_millis: 406.034, usercpu_time_millis_testing: 12.839, usercpu_time_millis_training: 393.195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9594, f_measure: 0.8893, kappa: 0.7731, kb_relative_information_score: 28001.7286, mean_absolute_error: 0.2025, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8894, predictive_accuracy: 0.8896, prior_entropy: 0.9835, recall: 0.8896, relative_absolute_error: 0.4143, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.289, root_relative_squared_error: 0.5848, scimark_benchmark: 1249.7713, usercpu_time_millis: 668.344, usercpu_time_millis_testing: 34.647, usercpu_time_millis_training: 633.697,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9472, f_measure: 0.8731, kappa: 0.7399, kb_relative_information_score: 27190.4652, mean_absolute_error: 0.2088, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.873, predictive_accuracy: 0.8733, prior_entropy: 0.9835, recall: 0.8733, relative_absolute_error: 0.4273, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3048, root_relative_squared_error: 0.6167, scimark_benchmark: 1244.3648, usercpu_time_millis: 3463.212, usercpu_time_millis_testing: 82.925, usercpu_time_millis_training: 3380.287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9713, f_measure: 0.9088, kappa: 0.8131, kb_relative_information_score: 30574.1386, mean_absolute_error: 0.1735, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9088, predictive_accuracy: 0.9089, prior_entropy: 0.9835, recall: 0.9089, relative_absolute_error: 0.3552, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2643, root_relative_squared_error: 0.5348, scimark_benchmark: 1247.1893, usercpu_time_millis: 727.68, usercpu_time_millis_testing: 30.877, usercpu_time_millis_training: 696.803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9668, f_measure: 0.9025, kappa: 0.8002, kb_relative_information_score: 29691.6299, mean_absolute_error: 0.1832, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9025, predictive_accuracy: 0.9026, prior_entropy: 0.9835, recall: 0.9026, relative_absolute_error: 0.375, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.274, root_relative_squared_error: 0.5543, scimark_benchmark: 1252.6872, usercpu_time_millis: 368.521, usercpu_time_millis_testing: 18.412, usercpu_time_millis_training: 350.109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9601, f_measure: 0.892, kappa: 0.7788, kb_relative_information_score: 29176.3137, mean_absolute_error: 0.1873, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8919, predictive_accuracy: 0.8921, prior_entropy: 0.9835, recall: 0.8921, relative_absolute_error: 0.3834, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2842, root_relative_squared_error: 0.5751, scimark_benchmark: 1242.5942, usercpu_time_millis: 3085.072, usercpu_time_millis_testing: 69.774, usercpu_time_millis_training: 3015.298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8762, f_measure: 0.8002, kappa: 0.5889, kb_relative_information_score: 20746.0384, mean_absolute_error: 0.2797, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8024, predictive_accuracy: 0.8023, prior_entropy: 0.9835, recall: 0.8023, relative_absolute_error: 0.5724, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3739, root_relative_squared_error: 0.7565, scimark_benchmark: 1290.7291, usercpu_time_millis: 8967.326, usercpu_time_millis_testing: 48.422, usercpu_time_millis_training: 8918.904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9318, f_measure: 0.8503, kappa: 0.6929, kb_relative_information_score: 24826.3014, mean_absolute_error: 0.235, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8504, predictive_accuracy: 0.8507, prior_entropy: 0.9835, recall: 0.8507, relative_absolute_error: 0.4809, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3255, root_relative_squared_error: 0.6586, scimark_benchmark: 1242.5126, usercpu_time_millis: 3396.75, usercpu_time_millis_testing: 129.789, usercpu_time_millis_training: 3266.961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8962, f_measure: 0.8146, kappa: 0.6185, kb_relative_information_score: 17947.7748, mean_absolute_error: 0.3151, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8183, predictive_accuracy: 0.817, prior_entropy: 0.9835, recall: 0.817, relative_absolute_error: 0.6449, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3698, root_relative_squared_error: 0.7481, scimark_benchmark: 1250.0403, usercpu_time_millis: 573.839, usercpu_time_millis_testing: 43.756, usercpu_time_millis_training: 530.083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8731, f_measure: 0.7943, kappa: 0.5767, kb_relative_information_score: 18497.4302, mean_absolute_error: 0.3048, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.797, predictive_accuracy: 0.7967, prior_entropy: 0.9835, recall: 0.7967, relative_absolute_error: 0.6239, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.379, root_relative_squared_error: 0.7668, scimark_benchmark: 1248.0962, usercpu_time_millis: 36.782, usercpu_time_millis_testing: 2.342, usercpu_time_millis_training: 34.44,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9519, f_measure: 0.8803, kappa: 0.7548, kb_relative_information_score: 27664.5684, mean_absolute_error: 0.2041, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8803, predictive_accuracy: 0.8805, prior_entropy: 0.9835, recall: 0.8805, relative_absolute_error: 0.4178, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2985, root_relative_squared_error: 0.604, scimark_benchmark: 1242.5288, usercpu_time_millis: 1225.398, usercpu_time_millis_testing: 30.716, usercpu_time_millis_training: 1194.682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9084, f_measure: 0.8255, kappa: 0.6414, kb_relative_information_score: 21049.2807, mean_absolute_error: 0.2786, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8268, predictive_accuracy: 0.8268, prior_entropy: 0.9835, recall: 0.8268, relative_absolute_error: 0.5702, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3525, root_relative_squared_error: 0.7132, scimark_benchmark: 1245.9884, usercpu_time_millis: 1275.993, usercpu_time_millis_testing: 92.115, usercpu_time_millis_training: 1183.878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8886, f_measure: 0.8078, kappa: 0.6046, kb_relative_information_score: 19595.533, mean_absolute_error: 0.2934, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8097, predictive_accuracy: 0.8097, prior_entropy: 0.9835, recall: 0.8097, relative_absolute_error: 0.6004, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3679, root_relative_squared_error: 0.7443, scimark_benchmark: 1257.5096, usercpu_time_millis: 17.74, usercpu_time_millis_testing: 1.332, usercpu_time_millis_training: 16.408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9381, f_measure: 0.8566, kappa: 0.7058, kb_relative_information_score: 24541.401, mean_absolute_error: 0.2406, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8569, predictive_accuracy: 0.8572, prior_entropy: 0.9835, recall: 0.8572, relative_absolute_error: 0.4925, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.321, root_relative_squared_error: 0.6494, scimark_benchmark: 1249.1493, usercpu_time_millis: 528.52, usercpu_time_millis_testing: 24.676, usercpu_time_millis_training: 503.844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9533, f_measure: 0.8812, kappa: 0.7564, kb_relative_information_score: 27497.7138, mean_absolute_error: 0.2067, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8811, predictive_accuracy: 0.8814, prior_entropy: 0.9835, recall: 0.8814, relative_absolute_error: 0.4231, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2976, root_relative_squared_error: 0.602, scimark_benchmark: 1249.9881, usercpu_time_millis: 1318.702, usercpu_time_millis_testing: 40.355, usercpu_time_millis_training: 1278.347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9425, f_measure: 0.8616, kappa: 0.7161, kb_relative_information_score: 25544.8896, mean_absolute_error: 0.2286, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8618, predictive_accuracy: 0.8621, prior_entropy: 0.9835, recall: 0.8621, relative_absolute_error: 0.468, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3142, root_relative_squared_error: 0.6357, scimark_benchmark: 1246.3061, usercpu_time_millis: 828.338, usercpu_time_millis_testing: 39.032, usercpu_time_millis_training: 789.306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9515, f_measure: 0.8796, kappa: 0.7533, kb_relative_information_score: 27770.2382, mean_absolute_error: 0.2026, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8795, predictive_accuracy: 0.8797, prior_entropy: 0.9835, recall: 0.8797, relative_absolute_error: 0.4147, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2985, root_relative_squared_error: 0.6039, scimark_benchmark: 1242.7417, usercpu_time_millis: 3995.699, usercpu_time_millis_testing: 92.136, usercpu_time_millis_training: 3903.563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9219, f_measure: 0.8394, kappa: 0.6705, kb_relative_information_score: 23669.5786, mean_absolute_error: 0.2478, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8394, predictive_accuracy: 0.8399, prior_entropy: 0.9835, recall: 0.8399, relative_absolute_error: 0.507, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3363, root_relative_squared_error: 0.6804, scimark_benchmark: 1247.0581, usercpu_time_millis: 2288.598, usercpu_time_millis_testing: 125.907, usercpu_time_millis_training: 2162.691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9135, f_measure: 0.8311, kappa: 0.6535, kb_relative_information_score: 23108.7069, mean_absolute_error: 0.2527, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8311, predictive_accuracy: 0.8315, prior_entropy: 0.9835, recall: 0.8315, relative_absolute_error: 0.5171, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3443, root_relative_squared_error: 0.6965, scimark_benchmark: 1245.2323, usercpu_time_millis: 1214.192, usercpu_time_millis_testing: 44.055, usercpu_time_millis_training: 1170.137,

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