Task
Supervised Classification on electricity

Supervised Classification on electricity

Task 146012 Supervised Classification electricity 25374 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8234, f_measure: 0.753, kappa: 0.4918, kb_relative_information_score: 14517.0623, mean_absolute_error: 0.3475, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7621, predictive_accuracy: 0.7591, prior_entropy: 0.9835, recall: 0.7591, relative_absolute_error: 0.7111, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.408, root_relative_squared_error: 0.8255, scimark_benchmark: 1303.565, usercpu_time_millis: 1.852, usercpu_time_millis_testing: 0.091, usercpu_time_millis_training: 1.761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1306.3401, usercpu_time_millis: 1.324, usercpu_time_millis_testing: 0.293, usercpu_time_millis_training: 1.031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1279.6028, usercpu_time_millis: 1.178, usercpu_time_millis_testing: 0.298, usercpu_time_millis_training: 0.88,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8271, f_measure: 0.7552, kappa: 0.4962, kb_relative_information_score: 15660.0786, mean_absolute_error: 0.3337, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7617, predictive_accuracy: 0.7602, prior_entropy: 0.9835, recall: 0.7602, relative_absolute_error: 0.683, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4057, root_relative_squared_error: 0.8207, scimark_benchmark: 1280.4074, usercpu_time_millis: 2.703, usercpu_time_millis_testing: 0.112, usercpu_time_millis_training: 2.591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1299.5965, usercpu_time_millis: 1.646, usercpu_time_millis_testing: 0.283, usercpu_time_millis_training: 1.363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1286.292, usercpu_time_millis: 1.078, usercpu_time_millis_testing: 0.41, usercpu_time_millis_training: 0.668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8258, f_measure: 0.7522, kappa: 0.4901, kb_relative_information_score: 14640.6495, mean_absolute_error: 0.3457, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7604, predictive_accuracy: 0.758, prior_entropy: 0.9835, recall: 0.758, relative_absolute_error: 0.7076, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4074, root_relative_squared_error: 0.8243, scimark_benchmark: 1295.9262, usercpu_time_millis: 2.122, usercpu_time_millis_testing: 0.114, usercpu_time_millis_training: 2.008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8257, f_measure: 0.752, kappa: 0.4898, kb_relative_information_score: 14556.6815, mean_absolute_error: 0.3467, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7604, predictive_accuracy: 0.7579, prior_entropy: 0.9835, recall: 0.7579, relative_absolute_error: 0.7096, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4077, root_relative_squared_error: 0.8248, scimark_benchmark: 1283.8501, usercpu_time_millis: 1.887, usercpu_time_millis_testing: 0.096, usercpu_time_millis_training: 1.791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1300.298, usercpu_time_millis: 1.216, usercpu_time_millis_testing: 0.26, usercpu_time_millis_training: 0.956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8264, f_measure: 0.7544, kappa: 0.4945, kb_relative_information_score: 15557.6378, mean_absolute_error: 0.335, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7611, predictive_accuracy: 0.7596, prior_entropy: 0.9835, recall: 0.7596, relative_absolute_error: 0.6856, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4059, root_relative_squared_error: 0.8213, scimark_benchmark: 1291.0607, usercpu_time_millis: 1.614, usercpu_time_millis_testing: -0.478, usercpu_time_millis_training: 2.092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1278.0377, usercpu_time_millis: 1.327, usercpu_time_millis_testing: 0.301, usercpu_time_millis_training: 1.026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8242, f_measure: 0.7518, kappa: 0.4894, kb_relative_information_score: 14312.7855, mean_absolute_error: 0.3498, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7612, predictive_accuracy: 0.7581, prior_entropy: 0.9835, recall: 0.7581, relative_absolute_error: 0.7159, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4083, root_relative_squared_error: 0.8261, scimark_benchmark: 1296.2917, usercpu_time_millis: 2.293, usercpu_time_millis_testing: 0.121, usercpu_time_millis_training: 2.172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1304.9243, usercpu_time_millis: 1.231, usercpu_time_millis_testing: 0.292, usercpu_time_millis_training: 0.939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1280.7261, usercpu_time_millis: 1.359, usercpu_time_millis_testing: 0.315, usercpu_time_millis_training: 1.044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1292.2362, usercpu_time_millis: 1.252, usercpu_time_millis_testing: 0.263, usercpu_time_millis_training: 0.989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1267.1744, usercpu_time_millis: 1.288, usercpu_time_millis_testing: 0.25, usercpu_time_millis_training: 1.038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7979, f_measure: 0.7146, kappa: 0.422, kb_relative_information_score: 7049.4806, mean_absolute_error: 0.4272, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7605, predictive_accuracy: 0.7342, prior_entropy: 0.9835, recall: 0.7342, relative_absolute_error: 0.8744, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4446, root_relative_squared_error: 0.8996, scimark_benchmark: 1269.3388, usercpu_time_millis: 1.789, usercpu_time_millis_testing: 0.104, usercpu_time_millis_training: 1.685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8088, f_measure: 0.7256, kappa: 0.4369, kb_relative_information_score: 13956.0808, mean_absolute_error: 0.35, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7252, predictive_accuracy: 0.7264, prior_entropy: 0.9835, recall: 0.7264, relative_absolute_error: 0.7164, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4159, root_relative_squared_error: 0.8414, scimark_benchmark: 1285.0389, usercpu_time_millis: 161.959, usercpu_time_millis_testing: 0.099, usercpu_time_millis_training: 161.86,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1292.8151, usercpu_time_millis: 3.317, usercpu_time_millis_testing: 1.411, usercpu_time_millis_training: 1.906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1297.9221, usercpu_time_millis: 3.716, usercpu_time_millis_testing: 0.886, usercpu_time_millis_training: 2.83,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1283.6297, usercpu_time_millis: 1.559, usercpu_time_millis_testing: 0.343, usercpu_time_millis_training: 1.216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8258, f_measure: 0.7521, kappa: 0.49, kb_relative_information_score: 14951.167, mean_absolute_error: 0.3422, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7601, predictive_accuracy: 0.7579, prior_entropy: 0.9835, recall: 0.7579, relative_absolute_error: 0.7003, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4068, root_relative_squared_error: 0.823, scimark_benchmark: 1277.2851, usercpu_time_millis: 2.858, usercpu_time_millis_testing: 0.113, usercpu_time_millis_training: 2.745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7993, f_measure: 0.7082, kappa: 0.4115, kb_relative_information_score: 6665.8113, mean_absolute_error: 0.4311, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7621, predictive_accuracy: 0.7305, prior_entropy: 0.9835, recall: 0.7305, relative_absolute_error: 0.8824, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4469, root_relative_squared_error: 0.9043, scimark_benchmark: 1271.876, usercpu_time_millis: 2.369, usercpu_time_millis_testing: 0.158, usercpu_time_millis_training: 2.211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1261.906, usercpu_time_millis: 1.777, usercpu_time_millis_testing: 0.444, usercpu_time_millis_training: 1.333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1268.9975, usercpu_time_millis: 1.861, usercpu_time_millis_testing: 0.392, usercpu_time_millis_training: 1.469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1301.9863, usercpu_time_millis: 1.413, usercpu_time_millis_testing: 0.291, usercpu_time_millis_training: 1.122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1306.3878, usercpu_time_millis: 1.715, usercpu_time_millis_testing: 0.387, usercpu_time_millis_training: 1.328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8255, f_measure: 0.7521, kappa: 0.49, kb_relative_information_score: 14749.2425, mean_absolute_error: 0.3446, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7605, predictive_accuracy: 0.758, prior_entropy: 0.9835, recall: 0.758, relative_absolute_error: 0.7052, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4072, root_relative_squared_error: 0.8238, scimark_benchmark: 1270.9701, usercpu_time_millis: 3.374, usercpu_time_millis_testing: 0.142, usercpu_time_millis_training: 3.232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8271, f_measure: 0.7549, kappa: 0.4956, kb_relative_information_score: 15634.2809, mean_absolute_error: 0.334, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7615, predictive_accuracy: 0.76, prior_entropy: 0.9835, recall: 0.76, relative_absolute_error: 0.6836, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4057, root_relative_squared_error: 0.8208, scimark_benchmark: 1292.0607, usercpu_time_millis: 2.902, usercpu_time_millis_testing: 0.099, usercpu_time_millis_training: 2.803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1264.8565, usercpu_time_millis: 1.458, usercpu_time_millis_testing: 0.282, usercpu_time_millis_training: 1.176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7622, f_measure: 0.6615, kappa: 0.3282, kb_relative_information_score: 10523.7923, mean_absolute_error: 0.3829, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.6805, predictive_accuracy: 0.6601, prior_entropy: 0.9835, recall: 0.6601, relative_absolute_error: 0.7837, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4361, root_relative_squared_error: 0.8823, scimark_benchmark: 1300.037, usercpu_time_millis: 496.594, usercpu_time_millis_testing: 0.159, usercpu_time_millis_training: 496.435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7345, f_measure: 0.6243, kappa: 0.2758, kb_relative_information_score: 8813.7408, mean_absolute_error: 0.3993, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.6651, predictive_accuracy: 0.6263, prior_entropy: 0.9835, recall: 0.6263, relative_absolute_error: 0.8173, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4456, root_relative_squared_error: 0.9015, scimark_benchmark: 1304.8878, usercpu_time_millis: 678.994, usercpu_time_millis_testing: 0.101, usercpu_time_millis_training: 678.893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7874, f_measure: 0.6952, kappa: 0.3824, kb_relative_information_score: 12333.1971, mean_absolute_error: 0.3654, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7002, predictive_accuracy: 0.6936, prior_entropy: 0.9835, recall: 0.6936, relative_absolute_error: 0.7479, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4259, root_relative_squared_error: 0.8617, scimark_benchmark: 1297.1068, usercpu_time_millis: 315.886, usercpu_time_millis_testing: 0.093, usercpu_time_millis_training: 315.793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1316.0306, usercpu_time_millis: 1.912, usercpu_time_millis_testing: 0.381, usercpu_time_millis_training: 1.531,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1305.3222, usercpu_time_millis: 2.515, usercpu_time_millis_testing: 0.815, usercpu_time_millis_training: 1.7,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1315.8546, usercpu_time_millis: 1.191, usercpu_time_millis_testing: 0.26, usercpu_time_millis_training: 0.931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1292.2754, usercpu_time_millis: 1.201, usercpu_time_millis_testing: 0.262, usercpu_time_millis_training: 0.939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1302.3524, usercpu_time_millis: 1.279, usercpu_time_millis_testing: 0.259, usercpu_time_millis_training: 1.02,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8225, f_measure: 0.7502, kappa: 0.4864, kb_relative_information_score: 13296.6831, mean_absolute_error: 0.3614, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7613, predictive_accuracy: 0.7572, prior_entropy: 0.9835, recall: 0.7572, relative_absolute_error: 0.7396, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4115, root_relative_squared_error: 0.8325, scimark_benchmark: 1309.3133, usercpu_time_millis: 4.068, usercpu_time_millis_testing: 0.203, usercpu_time_millis_training: 3.865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1277.3793, usercpu_time_millis: 2.244, usercpu_time_millis_testing: 0.46, usercpu_time_millis_training: 1.784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1297.1423, usercpu_time_millis: 1.735, usercpu_time_millis_testing: 0.357, usercpu_time_millis_training: 1.378,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1280.5857, usercpu_time_millis: 2.573, usercpu_time_millis_testing: 0.152, usercpu_time_millis_training: 2.421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7623, f_measure: 0.4819, kappa: 0.0739, kb_relative_information_score: 2280.3243, mean_absolute_error: 0.4702, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7312, predictive_accuracy: 0.6023, prior_entropy: 0.9835, recall: 0.6023, relative_absolute_error: 0.9623, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4772, root_relative_squared_error: 0.9655, scimark_benchmark: 1275.7961, usercpu_time_millis: 2.543, usercpu_time_millis_testing: 0.165, usercpu_time_millis_training: 2.378,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8, f_measure: 0.5197, kappa: 0.1245, kb_relative_information_score: 2896.5712, mean_absolute_error: 0.4656, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7475, predictive_accuracy: 0.6214, prior_entropy: 0.9835, recall: 0.6214, relative_absolute_error: 0.9528, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4729, root_relative_squared_error: 0.9568, scimark_benchmark: 1303.8929, usercpu_time_millis: 1.642, usercpu_time_millis_testing: 0.109, usercpu_time_millis_training: 1.533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.826, f_measure: 0.7521, kappa: 0.49, kb_relative_information_score: 14712.6027, mean_absolute_error: 0.3449, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7601, predictive_accuracy: 0.7579, prior_entropy: 0.9835, recall: 0.7579, relative_absolute_error: 0.7059, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4073, root_relative_squared_error: 0.824, scimark_benchmark: 1284.8716, usercpu_time_millis: 2.781, usercpu_time_millis_testing: 0.128, usercpu_time_millis_training: 2.653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1305.4443, usercpu_time_millis: 1.543, usercpu_time_millis_testing: 0.415, usercpu_time_millis_training: 1.128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1297.6916, usercpu_time_millis: 1.351, usercpu_time_millis_testing: 0.373, usercpu_time_millis_training: 0.978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1285.2175, usercpu_time_millis: 2.732, usercpu_time_millis_testing: 0.492, usercpu_time_millis_training: 2.24,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1293.2147, usercpu_time_millis: 1.478, usercpu_time_millis_testing: 0.38, usercpu_time_millis_training: 1.098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1294.2559, usercpu_time_millis: 2.219, usercpu_time_millis_testing: -0.06, usercpu_time_millis_training: 2.279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1279.7643, usercpu_time_millis: 1.348, usercpu_time_millis_testing: 0.332, usercpu_time_millis_training: 1.016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8019, f_measure: 0.7413, kappa: 0.4702, kb_relative_information_score: 9766.881, mean_absolute_error: 0.4, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.764, predictive_accuracy: 0.7524, prior_entropy: 0.9835, recall: 0.7524, relative_absolute_error: 0.8186, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4293, root_relative_squared_error: 0.8685, scimark_benchmark: 1284.1101, usercpu_time_millis: 1.969, usercpu_time_millis_testing: 0.102, usercpu_time_millis_training: 1.867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1274.5167, usercpu_time_millis: 1.489, usercpu_time_millis_testing: 0.289, usercpu_time_millis_training: 1.2,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6681, f_measure: 0.5354, kappa: 0.1762, kb_relative_information_score: 5291.7484, mean_absolute_error: 0.4332, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.6422, predictive_accuracy: 0.5585, prior_entropy: 0.9835, recall: 0.5585, relative_absolute_error: 0.8866, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4648, root_relative_squared_error: 0.9404, scimark_benchmark: 1277.3216, usercpu_time_millis: 1039.7, usercpu_time_millis_testing: 0.147, usercpu_time_millis_training: 1039.553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1311.0028, usercpu_time_millis: 1.752, usercpu_time_millis_testing: 0.421, usercpu_time_millis_training: 1.331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1292.8547, usercpu_time_millis: 1.922, usercpu_time_millis_testing: 0.359, usercpu_time_millis_training: 1.563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7973, f_measure: 0.5337, kappa: 0.1427, kb_relative_information_score: 3080.1612, mean_absolute_error: 0.4639, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7446, predictive_accuracy: 0.6281, prior_entropy: 0.9835, recall: 0.6281, relative_absolute_error: 0.9495, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4715, root_relative_squared_error: 0.954, scimark_benchmark: 1307.2229, usercpu_time_millis: 1.719, usercpu_time_millis_testing: 0.109, usercpu_time_millis_training: 1.61,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1285.5864, usercpu_time_millis: 2.112, usercpu_time_millis_testing: 0.476, usercpu_time_millis_training: 1.636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1304.3799, usercpu_time_millis: 2.115, usercpu_time_millis_testing: 0.439, usercpu_time_millis_training: 1.676,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1307.6273, usercpu_time_millis: 2.003, usercpu_time_millis_testing: 0.447, usercpu_time_millis_training: 1.556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.772, f_measure: 0.4233, kappa: 0.0035, kb_relative_information_score: 351.1306, mean_absolute_error: 0.486, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7561, predictive_accuracy: 0.5767, prior_entropy: 0.9835, recall: 0.5767, relative_absolute_error: 0.9947, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4917, root_relative_squared_error: 0.9948, scimark_benchmark: 1298.4334, usercpu_time_millis: 2.15, usercpu_time_millis_testing: 0.116, usercpu_time_millis_training: 2.034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1307.7482, usercpu_time_millis: 1.375, usercpu_time_millis_testing: 0.266, usercpu_time_millis_training: 1.109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7964, f_measure: 0.7194, kappa: 0.4285, kb_relative_information_score: 7704.9195, mean_absolute_error: 0.4202, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.753, predictive_accuracy: 0.7353, prior_entropy: 0.9835, recall: 0.7353, relative_absolute_error: 0.86, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4408, root_relative_squared_error: 0.8918, scimark_benchmark: 1290.7819, usercpu_time_millis: 1.929, usercpu_time_millis_testing: 0.108, usercpu_time_millis_training: 1.821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7966, f_measure: 0.6469, kappa: 0.3095, kb_relative_information_score: 4704.2675, mean_absolute_error: 0.4495, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7561, predictive_accuracy: 0.6914, prior_entropy: 0.9835, recall: 0.6914, relative_absolute_error: 0.92, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.46, root_relative_squared_error: 0.9307, scimark_benchmark: 1299.1945, usercpu_time_millis: 2.313, usercpu_time_millis_testing: 0.178, usercpu_time_millis_training: 2.135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8248, f_measure: 0.7525, kappa: 0.4909, kb_relative_information_score: 14677.1806, mean_absolute_error: 0.3455, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7613, predictive_accuracy: 0.7585, prior_entropy: 0.9835, recall: 0.7585, relative_absolute_error: 0.7071, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4074, root_relative_squared_error: 0.8243, scimark_benchmark: 1301.4924, usercpu_time_millis: 3.577, usercpu_time_millis_testing: 0.151, usercpu_time_millis_training: 3.426,

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