OpenML
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: 0.4999, 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: 1301.9815, usercpu_time_millis: 2.27, usercpu_time_millis_testing: 0.369, usercpu_time_millis_training: 1.901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7868, f_measure: 0.6949, kappa: 0.3817, kb_relative_information_score: 12326.8405, mean_absolute_error: 0.3654, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.6997, predictive_accuracy: 0.6933, prior_entropy: 0.9835, recall: 0.6933, relative_absolute_error: 0.7478, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4261, root_relative_squared_error: 0.8621, scimark_benchmark: 1297.6161, usercpu_time_millis: 322.512, usercpu_time_millis_testing: 0.109, usercpu_time_millis_training: 322.403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7867, f_measure: 0.6947, kappa: 0.3812, kb_relative_information_score: 12311.5389, mean_absolute_error: 0.3656, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.6995, predictive_accuracy: 0.6931, prior_entropy: 0.9835, recall: 0.6931, relative_absolute_error: 0.7482, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4261, root_relative_squared_error: 0.8622, scimark_benchmark: 1301.5701, usercpu_time_millis: 321.106, usercpu_time_millis_testing: 0.096, usercpu_time_millis_training: 321.01,
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: 1316.8211, usercpu_time_millis: 1.132, usercpu_time_millis_testing: 0.235, usercpu_time_millis_training: 0.897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8261, f_measure: 0.7541, kappa: 0.494, kb_relative_information_score: 15474.7447, mean_absolute_error: 0.336, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7611, predictive_accuracy: 0.7594, prior_entropy: 0.9835, recall: 0.7594, relative_absolute_error: 0.6877, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4061, root_relative_squared_error: 0.8215, scimark_benchmark: 1307.7798, usercpu_time_millis: 2.378, usercpu_time_millis_testing: 0.105, usercpu_time_millis_training: 2.273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.578, f_measure: 0.4204, kb_relative_information_score: 9.6067, mean_absolute_error: 0.4885, 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: 0.9999, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4942, root_relative_squared_error: 0.9999, scimark_benchmark: 1277.5508, usercpu_time_millis: 1.449, usercpu_time_millis_testing: 0.344, usercpu_time_millis_training: 1.105,
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: 1302.3212, usercpu_time_millis: 1.43, usercpu_time_millis_testing: 0.327, usercpu_time_millis_training: 1.103,
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: 1284.513, usercpu_time_millis: 1.628, usercpu_time_millis_testing: 0.289, usercpu_time_millis_training: 1.339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8129, f_measure: 0.7474, kappa: 0.4811, kb_relative_information_score: 11960.9025, mean_absolute_error: 0.3764, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7621, predictive_accuracy: 0.7557, prior_entropy: 0.9835, recall: 0.7557, relative_absolute_error: 0.7703, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4179, root_relative_squared_error: 0.8455, scimark_benchmark: 1298.8243, usercpu_time_millis: 2.246, usercpu_time_millis_testing: 0.124, usercpu_time_millis_training: 2.122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7856, f_measure: 0.6804, kappa: 0.3604, kb_relative_information_score: 5555.2745, mean_absolute_error: 0.441, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7459, predictive_accuracy: 0.7094, prior_entropy: 0.9835, recall: 0.7094, relative_absolute_error: 0.9025, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4545, root_relative_squared_error: 0.9195, scimark_benchmark: 1309.5628, usercpu_time_millis: 1.847, usercpu_time_millis_testing: 0.104, usercpu_time_millis_training: 1.743,
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: 1304.7133, usercpu_time_millis: 1.976, usercpu_time_millis_testing: 0.397, usercpu_time_millis_training: 1.579,
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: 1291.4048, usercpu_time_millis: 1.63, usercpu_time_millis_testing: 0.856, usercpu_time_millis_training: 0.774,
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: 1301.9392, usercpu_time_millis: 1.621, usercpu_time_millis_testing: 0.872, usercpu_time_millis_training: 0.749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7992, f_measure: 0.4204, kb_relative_information_score: 178.5263, mean_absolute_error: 0.4873, 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: 0.9973, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.493, root_relative_squared_error: 0.9973, scimark_benchmark: 1315.0295, usercpu_time_millis: 1.197, usercpu_time_millis_testing: 0.255, usercpu_time_millis_training: 0.942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8, f_measure: 0.4337, kappa: 0.016, kb_relative_information_score: 1267.6095, mean_absolute_error: 0.4789, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7515, predictive_accuracy: 0.5813, prior_entropy: 0.9835, recall: 0.5813, relative_absolute_error: 0.9802, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4849, root_relative_squared_error: 0.981, scimark_benchmark: 1307.7239, usercpu_time_millis: 1.734, usercpu_time_millis_testing: 0.123, usercpu_time_millis_training: 1.611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8268, f_measure: 0.7545, kappa: 0.4948, kb_relative_information_score: 15533.143, mean_absolute_error: 0.3352, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7612, predictive_accuracy: 0.7597, prior_entropy: 0.9835, recall: 0.7597, relative_absolute_error: 0.6861, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4058, root_relative_squared_error: 0.8211, scimark_benchmark: 1298.6077, usercpu_time_millis: 2.77, usercpu_time_millis_testing: 0.136, usercpu_time_millis_training: 2.634,
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: 1315.5614, 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: 0.4999, 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: 1308.469, usercpu_time_millis: 1.681, usercpu_time_millis_testing: 0.402, usercpu_time_millis_training: 1.279,
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: 1287.0369, usercpu_time_millis: 1.988, usercpu_time_millis_testing: 0.584, usercpu_time_millis_training: 1.404,
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: 1302.389, usercpu_time_millis: 1.513, usercpu_time_millis_testing: 0.845, usercpu_time_millis_training: 0.668,
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: 1295.9357, usercpu_time_millis: 2.26, usercpu_time_millis_testing: 0.439, usercpu_time_millis_training: 1.821,
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: 1283.0641, usercpu_time_millis: 2.164, usercpu_time_millis_testing: 0.982, usercpu_time_millis_training: 1.182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8187, f_measure: 0.7512, kappa: 0.4886, kb_relative_information_score: 13327.5314, mean_absolute_error: 0.3612, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7629, predictive_accuracy: 0.7583, prior_entropy: 0.9835, recall: 0.7583, relative_absolute_error: 0.7392, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.412, root_relative_squared_error: 0.8336, scimark_benchmark: 1265.6393, usercpu_time_millis: 3.05, usercpu_time_millis_testing: 0.196, usercpu_time_millis_training: 2.854,
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: 1281.9458, usercpu_time_millis: 3.241, usercpu_time_millis_testing: 0.843, usercpu_time_millis_training: 2.398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8246, f_measure: 0.7531, kappa: 0.492, kb_relative_information_score: 14933.8882, mean_absolute_error: 0.3425, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7614, predictive_accuracy: 0.7589, prior_entropy: 0.9835, recall: 0.7589, relative_absolute_error: 0.701, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.407, root_relative_squared_error: 0.8235, scimark_benchmark: 1275.1704, usercpu_time_millis: 3.518, usercpu_time_millis_testing: -0.372, usercpu_time_millis_training: 3.89,
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: 1305.3093, usercpu_time_millis: 1.047, usercpu_time_millis_testing: 0.243, usercpu_time_millis_training: 0.804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8015, f_measure: 0.6658, kappa: 0.3417, kb_relative_information_score: 5078.4789, mean_absolute_error: 0.4465, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7648, predictive_accuracy: 0.7044, prior_entropy: 0.9835, recall: 0.7044, relative_absolute_error: 0.9139, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4575, root_relative_squared_error: 0.9257, scimark_benchmark: 1306.7088, usercpu_time_millis: 1.357, usercpu_time_millis_testing: 0.092, usercpu_time_millis_training: 1.265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8235, f_measure: 0.7532, kappa: 0.4923, kb_relative_information_score: 14715.837, mean_absolute_error: 0.3451, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.762, predictive_accuracy: 0.7592, prior_entropy: 0.9835, recall: 0.7592, relative_absolute_error: 0.7063, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4077, root_relative_squared_error: 0.8248, scimark_benchmark: 1299.6482, usercpu_time_millis: 2.883, usercpu_time_millis_testing: 0.12, usercpu_time_millis_training: 2.763,
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: 1302.1098, usercpu_time_millis: 1.888, usercpu_time_millis_testing: 0.252, 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: 1297.8592, usercpu_time_millis: 2.31, usercpu_time_millis_testing: 0.403, usercpu_time_millis_training: 1.907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8268, f_measure: 0.7541, kappa: 0.4939, kb_relative_information_score: 15390.5157, mean_absolute_error: 0.3369, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7611, predictive_accuracy: 0.7594, prior_entropy: 0.9835, recall: 0.7594, relative_absolute_error: 0.6896, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.406, root_relative_squared_error: 0.8214, scimark_benchmark: 1294.9114, usercpu_time_millis: 2.111, usercpu_time_millis_testing: 0.127, usercpu_time_millis_training: 1.984,
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: 1290.9352, usercpu_time_millis: 1.472, usercpu_time_millis_testing: 0.301, usercpu_time_millis_training: 1.171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8252, f_measure: 0.7531, kappa: 0.492, kb_relative_information_score: 14931.6327, mean_absolute_error: 0.3425, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7612, predictive_accuracy: 0.7589, prior_entropy: 0.9835, recall: 0.7589, relative_absolute_error: 0.701, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4069, root_relative_squared_error: 0.8232, scimark_benchmark: 1285.8786, usercpu_time_millis: 2.244, usercpu_time_millis_testing: 0.099, usercpu_time_millis_training: 2.145,
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: 1276.9508, usercpu_time_millis: 1.75, usercpu_time_millis_testing: 0.319, usercpu_time_millis_training: 1.431,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8086, f_measure: 0.7254, kappa: 0.4366, kb_relative_information_score: 14009.8588, mean_absolute_error: 0.3494, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.725, predictive_accuracy: 0.7262, prior_entropy: 0.9835, recall: 0.7262, relative_absolute_error: 0.7151, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4159, root_relative_squared_error: 0.8413, scimark_benchmark: 1287.2724, usercpu_time_millis: 164.145, usercpu_time_millis_testing: 0.16, usercpu_time_millis_training: 163.985,
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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: 1300.249, usercpu_time_millis: 3.139, usercpu_time_millis_testing: 0.588, usercpu_time_millis_training: 2.551,
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: 1316.3319, usercpu_time_millis: 1.353, usercpu_time_millis_testing: 0.283, usercpu_time_millis_training: 1.07,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8257, f_measure: 0.7521, kappa: 0.4899, kb_relative_information_score: 14810.3321, mean_absolute_error: 0.3438, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7602, predictive_accuracy: 0.7579, prior_entropy: 0.9835, recall: 0.7579, relative_absolute_error: 0.7037, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4071, root_relative_squared_error: 0.8236, scimark_benchmark: 1274.203, usercpu_time_millis: 2.833, usercpu_time_millis_testing: 0.104, usercpu_time_millis_training: 2.729,
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: 1312.072, usercpu_time_millis: 1.124, usercpu_time_millis_testing: 0.299, usercpu_time_millis_training: 0.825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8257, f_measure: 0.7524, kappa: 0.4906, kb_relative_information_score: 14887.6974, mean_absolute_error: 0.343, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7606, predictive_accuracy: 0.7582, prior_entropy: 0.9835, recall: 0.7582, relative_absolute_error: 0.7019, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4069, root_relative_squared_error: 0.8233, scimark_benchmark: 1274.1933, usercpu_time_millis: 2.324, usercpu_time_millis_testing: 0.096, usercpu_time_millis_training: 2.228,
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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: 1297.9423, usercpu_time_millis: 1.503, usercpu_time_millis_testing: 0.28, usercpu_time_millis_training: 1.223,
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: 1282.9287, usercpu_time_millis: 1.597, usercpu_time_millis_testing: 0.352, usercpu_time_millis_training: 1.245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7841, f_measure: 0.6719, kappa: 0.3464, kb_relative_information_score: 5290.3773, mean_absolute_error: 0.4434, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.745, predictive_accuracy: 0.7041, prior_entropy: 0.9835, recall: 0.7041, relative_absolute_error: 0.9075, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4563, root_relative_squared_error: 0.9231, scimark_benchmark: 1290.3983, usercpu_time_millis: 1.998, usercpu_time_millis_testing: 0.154, usercpu_time_millis_training: 1.844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8016, f_measure: 0.4772, kappa: 0.07, kb_relative_information_score: 2256.4258, mean_absolute_error: 0.471, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7542, predictive_accuracy: 0.6013, prior_entropy: 0.9835, recall: 0.6013, relative_absolute_error: 0.9639, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4777, root_relative_squared_error: 0.9664, scimark_benchmark: 1295.0128, usercpu_time_millis: 1.612, usercpu_time_millis_testing: 0.103, usercpu_time_millis_training: 1.509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8256, f_measure: 0.7532, kappa: 0.4921, kb_relative_information_score: 15010.0804, mean_absolute_error: 0.3416, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7612, predictive_accuracy: 0.7589, prior_entropy: 0.9835, recall: 0.7589, relative_absolute_error: 0.699, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4067, root_relative_squared_error: 0.8229, scimark_benchmark: 1276.3845, usercpu_time_millis: 2.513, usercpu_time_millis_testing: 0.127, usercpu_time_millis_training: 2.386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8257, f_measure: 0.7535, kappa: 0.4927, kb_relative_information_score: 15261.7645, mean_absolute_error: 0.3386, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.761, predictive_accuracy: 0.759, prior_entropy: 0.9835, recall: 0.759, relative_absolute_error: 0.6929, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4064, root_relative_squared_error: 0.8221, scimark_benchmark: 1293.6986, usercpu_time_millis: 2.402, usercpu_time_millis_testing: -0.479, usercpu_time_millis_training: 2.881,
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: 1303.3427, usercpu_time_millis: 2.213, usercpu_time_millis_testing: 0.449, usercpu_time_millis_training: 1.764,
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: 1274.6463, usercpu_time_millis: 1.427, usercpu_time_millis_testing: 0.25, usercpu_time_millis_training: 1.177,
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: 1301.4435, usercpu_time_millis: 1.454, usercpu_time_millis_testing: 0.819, usercpu_time_millis_training: 0.635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7867, f_measure: 0.6947, kappa: 0.3813, kb_relative_information_score: 12308.454, mean_absolute_error: 0.3656, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.6995, predictive_accuracy: 0.6932, prior_entropy: 0.9835, recall: 0.6932, relative_absolute_error: 0.7483, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4261, root_relative_squared_error: 0.8622, scimark_benchmark: 1302.4063, usercpu_time_millis: 324.862, usercpu_time_millis_testing: 0.123, usercpu_time_millis_training: 324.739,
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: 1315.6127, usercpu_time_millis: 1.183, usercpu_time_millis_testing: 0.254, usercpu_time_millis_training: 0.929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8266, f_measure: 0.754, kappa: 0.4938, kb_relative_information_score: 15394.9011, mean_absolute_error: 0.3369, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.761, predictive_accuracy: 0.7593, prior_entropy: 0.9835, recall: 0.7593, relative_absolute_error: 0.6895, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.406, root_relative_squared_error: 0.8215, scimark_benchmark: 1304.7642, usercpu_time_millis: 2.688, usercpu_time_millis_testing: 0.102, usercpu_time_millis_training: 2.586,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7759, f_measure: 0.433, kappa: 0.0151, kb_relative_information_score: 1049.1574, mean_absolute_error: 0.4807, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.751, predictive_accuracy: 0.581, prior_entropy: 0.9835, recall: 0.581, relative_absolute_error: 0.9838, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4866, root_relative_squared_error: 0.9846, scimark_benchmark: 1305.2891, usercpu_time_millis: 1.561, usercpu_time_millis_testing: 0.106, usercpu_time_millis_training: 1.455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8259, f_measure: 0.754, kappa: 0.4937, kb_relative_information_score: 15406.5215, mean_absolute_error: 0.3368, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7612, predictive_accuracy: 0.7593, prior_entropy: 0.9835, recall: 0.7593, relative_absolute_error: 0.6894, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4062, root_relative_squared_error: 0.8217, scimark_benchmark: 1301.5729, usercpu_time_millis: 2.607, usercpu_time_millis_testing: 0.123, usercpu_time_millis_training: 2.484,
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: 1288.2017, usercpu_time_millis: 1.886, usercpu_time_millis_testing: 0.441, usercpu_time_millis_training: 1.445,
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: 1283.5246, usercpu_time_millis: 1.668, usercpu_time_millis_testing: 0.338, usercpu_time_millis_training: 1.33,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7873, f_measure: 0.6833, kappa: 0.3659, kb_relative_information_score: 5672.9451, mean_absolute_error: 0.44, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7479, predictive_accuracy: 0.7117, prior_entropy: 0.9835, recall: 0.7117, relative_absolute_error: 0.9005, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4537, root_relative_squared_error: 0.918, scimark_benchmark: 1275.4768, usercpu_time_millis: 1.965, usercpu_time_millis_testing: 0.115, usercpu_time_millis_training: 1.85,
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: 1289.3185, usercpu_time_millis: 1.541, usercpu_time_millis_testing: 0.264, usercpu_time_millis_training: 1.277,
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: 1300.4193, usercpu_time_millis: 1.888, usercpu_time_millis_testing: 0.499, usercpu_time_millis_training: 1.389,
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: 1298.5896, usercpu_time_millis: 1.437, usercpu_time_millis_testing: 0.3, usercpu_time_millis_training: 1.137,
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: 1282.2086, usercpu_time_millis: 2.23, usercpu_time_millis_testing: 0.54, usercpu_time_millis_training: 1.69,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8268, f_measure: 0.7547, kappa: 0.4951, kb_relative_information_score: 15588.5449, mean_absolute_error: 0.3346, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7613, predictive_accuracy: 0.7598, prior_entropy: 0.9835, recall: 0.7598, relative_absolute_error: 0.6848, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4058, root_relative_squared_error: 0.821, scimark_benchmark: 1280.6961, usercpu_time_millis: 3.05, usercpu_time_millis_testing: 0.109, usercpu_time_millis_training: 2.941,
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: 1268.7837, usercpu_time_millis: 1.526, usercpu_time_millis_testing: 0.296, usercpu_time_millis_training: 1.23,

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