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: 0.8005, f_measure: 0.4261, kappa: 0.0068, kb_relative_information_score: 729.2835, mean_absolute_error: 0.4831, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7565, predictive_accuracy: 0.578, prior_entropy: 0.9835, recall: 0.578, relative_absolute_error: 0.9888, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4889, root_relative_squared_error: 0.9891, scimark_benchmark: 1833.719, usercpu_time_millis: 0.68, usercpu_time_millis_testing: 0.087, usercpu_time_millis_training: 0.593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8242, f_measure: 0.757, kappa: 0.4999, kb_relative_information_score: 15914.974, mean_absolute_error: 0.3309, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7625, predictive_accuracy: 0.7616, prior_entropy: 0.9835, recall: 0.7616, relative_absolute_error: 0.6773, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4062, root_relative_squared_error: 0.8218, scimark_benchmark: 1819.8765, usercpu_time_millis: 5090.761, usercpu_time_millis_testing: 21.423, usercpu_time_millis_training: 5069.338,
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: 1846.3057, usercpu_time_millis: 0.6, usercpu_time_millis_testing: 0.078, usercpu_time_millis_training: 0.522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8232, f_measure: 0.7501, kappa: 0.4861, kb_relative_information_score: 13468.8212, mean_absolute_error: 0.3594, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7607, predictive_accuracy: 0.7569, prior_entropy: 0.9835, recall: 0.7569, relative_absolute_error: 0.7355, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4108, root_relative_squared_error: 0.8312, scimark_benchmark: 1835.7111, usercpu_time_millis: 1.18, usercpu_time_millis_testing: 0.085, usercpu_time_millis_training: 1.095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8165, f_measure: 0.7506, kappa: 0.4874, kb_relative_information_score: 12970.891, mean_absolute_error: 0.3652, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7629, predictive_accuracy: 0.7579, prior_entropy: 0.9835, recall: 0.7579, relative_absolute_error: 0.7475, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4136, root_relative_squared_error: 0.8367, scimark_benchmark: 1833.1505, usercpu_time_millis: 0.869, usercpu_time_millis_testing: 0.079, usercpu_time_millis_training: 0.79,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8254, f_measure: 0.7529, kappa: 0.4916, kb_relative_information_score: 14879.9694, mean_absolute_error: 0.3431, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7611, predictive_accuracy: 0.7587, prior_entropy: 0.9835, recall: 0.7587, relative_absolute_error: 0.7022, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.407, root_relative_squared_error: 0.8233, scimark_benchmark: 1849.8294, usercpu_time_millis: 1.133, usercpu_time_millis_testing: 0.076, usercpu_time_millis_training: 1.057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7866, f_measure: 0.6945, kappa: 0.3809, kb_relative_information_score: 12282.801, mean_absolute_error: 0.366, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.6993, predictive_accuracy: 0.693, prior_entropy: 0.9835, recall: 0.693, relative_absolute_error: 0.749, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4262, root_relative_squared_error: 0.8622, scimark_benchmark: 1777.1623, usercpu_time_millis: 282.475, usercpu_time_millis_testing: 0.082, usercpu_time_millis_training: 282.393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8088, f_measure: 0.7258, kappa: 0.4374, kb_relative_information_score: 14067.7643, mean_absolute_error: 0.3487, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7254, predictive_accuracy: 0.7266, prior_entropy: 0.9835, recall: 0.7266, relative_absolute_error: 0.7136, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4158, root_relative_squared_error: 0.8412, scimark_benchmark: 1730.1287, usercpu_time_millis: 133.467, usercpu_time_millis_testing: 0.086, usercpu_time_millis_training: 133.381,
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: 1846.2342, usercpu_time_millis: 0.595, usercpu_time_millis_testing: 0.078, usercpu_time_millis_training: 0.517,
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: 1857.0384, usercpu_time_millis: 0.586, usercpu_time_millis_testing: 0.073, usercpu_time_millis_training: 0.513,
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: 1744.051, usercpu_time_millis: 0.607, usercpu_time_millis_testing: 0.078, usercpu_time_millis_training: 0.529,
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: 1848.321, usercpu_time_millis: 0.599, usercpu_time_millis_testing: 0.077, usercpu_time_millis_training: 0.522,
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: 1916.949, usercpu_time_millis: 0.543, usercpu_time_millis_testing: 0.069, usercpu_time_millis_training: 0.474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9201, f_measure: 0.8457, kappa: 0.6833, kb_relative_information_score: 25912.8235, mean_absolute_error: 0.2218, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8459, predictive_accuracy: 0.8463, prior_entropy: 0.9835, recall: 0.8463, relative_absolute_error: 0.4539, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3324, root_relative_squared_error: 0.6725, scimark_benchmark: 1847.2753, usercpu_time_millis: 5150.188, usercpu_time_millis_testing: 17.219, usercpu_time_millis_training: 5132.969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7867, f_measure: 0.6946, kappa: 0.3812, kb_relative_information_score: 12334.8319, mean_absolute_error: 0.3653, 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: 0.7477, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4261, root_relative_squared_error: 0.8621, scimark_benchmark: 1856.6531, usercpu_time_millis: 242.207, usercpu_time_millis_testing: 0.073, usercpu_time_millis_training: 242.134,
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: 1843.6938, usercpu_time_millis: 0.623, usercpu_time_millis_testing: 0.08, usercpu_time_millis_training: 0.543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8049, f_measure: 0.7465, kappa: 0.4798, kb_relative_information_score: 11035.5404, mean_absolute_error: 0.3864, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7633, predictive_accuracy: 0.7555, prior_entropy: 0.9835, recall: 0.7555, relative_absolute_error: 0.7908, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.423, root_relative_squared_error: 0.8558, scimark_benchmark: 1749.1226, usercpu_time_millis: 0.765, usercpu_time_millis_testing: 0.081, usercpu_time_millis_training: 0.684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8084, f_measure: 0.7425, kappa: 0.4718, kb_relative_information_score: 10729.8151, mean_absolute_error: 0.3895, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7609, predictive_accuracy: 0.7523, prior_entropy: 0.9835, recall: 0.7523, relative_absolute_error: 0.7972, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4239, root_relative_squared_error: 0.8575, scimark_benchmark: 1847.817, usercpu_time_millis: 0.806, usercpu_time_millis_testing: 0.077, usercpu_time_millis_training: 0.729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7867, f_measure: 0.6946, kappa: 0.3811, kb_relative_information_score: 12328.1339, mean_absolute_error: 0.3654, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.6994, predictive_accuracy: 0.6931, prior_entropy: 0.9835, recall: 0.6931, 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: 1835.079, usercpu_time_millis: 242.54, usercpu_time_millis_testing: 0.083, usercpu_time_millis_training: 242.457,
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: 1803.0843, usercpu_time_millis: 0.626, usercpu_time_millis_testing: 0.078, usercpu_time_millis_training: 0.548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8259, f_measure: 0.7532, kappa: 0.4922, kb_relative_information_score: 15092.5198, mean_absolute_error: 0.3405, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7609, predictive_accuracy: 0.7588, prior_entropy: 0.9835, recall: 0.7588, relative_absolute_error: 0.697, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4066, root_relative_squared_error: 0.8225, scimark_benchmark: 1853.454, usercpu_time_millis: 1.205, usercpu_time_millis_testing: 0.073, usercpu_time_millis_training: 1.132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7859, f_measure: 0.6817, kappa: 0.3626, kb_relative_information_score: 5611.5849, mean_absolute_error: 0.4404, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7457, predictive_accuracy: 0.7102, prior_entropy: 0.9835, recall: 0.7102, relative_absolute_error: 0.9014, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4541, root_relative_squared_error: 0.9188, scimark_benchmark: 1813.4213, usercpu_time_millis: 0.756, usercpu_time_millis_testing: 0.08, usercpu_time_millis_training: 0.676,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8194, f_measure: 0.7452, kappa: 0.4765, kb_relative_information_score: 12125.9292, mean_absolute_error: 0.3741, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7584, predictive_accuracy: 0.7531, prior_entropy: 0.9835, recall: 0.7531, relative_absolute_error: 0.7657, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4164, root_relative_squared_error: 0.8425, scimark_benchmark: 1836.8213, usercpu_time_millis: 1.1, usercpu_time_millis_testing: 0.076, usercpu_time_millis_training: 1.024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7923, f_measure: 0.5889, kappa: 0.2195, kb_relative_information_score: 3779.2167, mean_absolute_error: 0.4577, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7439, predictive_accuracy: 0.6567, prior_entropy: 0.9835, recall: 0.6567, relative_absolute_error: 0.9367, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4665, root_relative_squared_error: 0.9438, scimark_benchmark: 1835.3799, usercpu_time_millis: 0.704, usercpu_time_millis_testing: 0.08, usercpu_time_millis_training: 0.624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7857, f_measure: 0.4652, kappa: 0.0546, kb_relative_information_score: 2073.5511, mean_absolute_error: 0.4723, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7507, predictive_accuracy: 0.5956, prior_entropy: 0.9835, recall: 0.5956, relative_absolute_error: 0.9665, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4788, root_relative_squared_error: 0.9688, scimark_benchmark: 1737.8876, usercpu_time_millis: 0.676, usercpu_time_millis_testing: 0.078, usercpu_time_millis_training: 0.598,
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: 2106.2994, usercpu_time_millis: 0.52, usercpu_time_millis_testing: 0.068, usercpu_time_millis_training: 0.452,
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: 1952.0472, usercpu_time_millis: 0.55, usercpu_time_millis_testing: 0.071, usercpu_time_millis_training: 0.479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8237, f_measure: 0.7483, kappa: 0.4823, kb_relative_information_score: 13624.0284, mean_absolute_error: 0.3574, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7583, predictive_accuracy: 0.7549, prior_entropy: 0.9835, recall: 0.7549, relative_absolute_error: 0.7314, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4105, root_relative_squared_error: 0.8304, scimark_benchmark: 2111.7094, usercpu_time_millis: 0.921, usercpu_time_millis_testing: 0.068, usercpu_time_millis_training: 0.853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8485, f_measure: 0.7475, kappa: 0.4835, kb_relative_information_score: 13400.836, mean_absolute_error: 0.3582, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7734, predictive_accuracy: 0.759, prior_entropy: 0.9835, recall: 0.759, relative_absolute_error: 0.7331, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.408, root_relative_squared_error: 0.8254, scimark_benchmark: 1850.2875, usercpu_time_millis: 5356.671, usercpu_time_millis_testing: 22.655, usercpu_time_millis_training: 5334.016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8086, f_measure: 0.7254, kappa: 0.4367, kb_relative_information_score: 14029.6105, mean_absolute_error: 0.3492, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.725, predictive_accuracy: 0.7263, prior_entropy: 0.9835, recall: 0.7263, relative_absolute_error: 0.7146, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4158, root_relative_squared_error: 0.8413, scimark_benchmark: 1857.5664, usercpu_time_millis: 120.706, usercpu_time_millis_testing: 0.074, usercpu_time_millis_training: 120.632,
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: 2156.833, usercpu_time_millis: 0.519, usercpu_time_millis_testing: 0.068, usercpu_time_millis_training: 0.451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8244, f_measure: 0.7531, kappa: 0.4921, kb_relative_information_score: 14771.1163, mean_absolute_error: 0.3445, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7618, predictive_accuracy: 0.7591, prior_entropy: 0.9835, recall: 0.7591, relative_absolute_error: 0.705, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4073, root_relative_squared_error: 0.8241, scimark_benchmark: 1846.199, usercpu_time_millis: 0.987, usercpu_time_millis_testing: 0.074, usercpu_time_millis_training: 0.913,
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: 1853.3841, usercpu_time_millis: 0.612, usercpu_time_millis_testing: 0.079, usercpu_time_millis_training: 0.533,
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: 1747.1015, usercpu_time_millis: 0.615, usercpu_time_millis_testing: 0.079, usercpu_time_millis_training: 0.536,
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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: 1825.1058, usercpu_time_millis: 0.647, usercpu_time_millis_testing: 0.087, usercpu_time_millis_training: 0.56,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7615, f_measure: 0.6605, kappa: 0.326, kb_relative_information_score: 10504.1321, mean_absolute_error: 0.3831, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.6792, predictive_accuracy: 0.6591, prior_entropy: 0.9835, recall: 0.6591, relative_absolute_error: 0.7841, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4362, root_relative_squared_error: 0.8825, scimark_benchmark: 1841.0409, usercpu_time_millis: 406.732, usercpu_time_millis_testing: 0.081, usercpu_time_millis_training: 406.651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8637, f_measure: 0.7924, kappa: 0.5731, kb_relative_information_score: 19305.1295, mean_absolute_error: 0.2943, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7935, predictive_accuracy: 0.7941, prior_entropy: 0.9835, recall: 0.7941, relative_absolute_error: 0.6023, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3824, root_relative_squared_error: 0.7736, scimark_benchmark: 1859.1356, usercpu_time_millis: 5539.212, usercpu_time_millis_testing: 27.67, usercpu_time_millis_training: 5511.542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8242, f_measure: 0.7571, kappa: 0.5001, kb_relative_information_score: 15893.5911, mean_absolute_error: 0.3312, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7627, predictive_accuracy: 0.7617, prior_entropy: 0.9835, recall: 0.7617, relative_absolute_error: 0.6778, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4062, root_relative_squared_error: 0.8218, scimark_benchmark: 1834.111, usercpu_time_millis: 5217.249, usercpu_time_millis_testing: 24.029, usercpu_time_millis_training: 5193.22,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.907, f_measure: 0.8443, kappa: 0.6806, kb_relative_information_score: 25263.085, mean_absolute_error: 0.2311, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8443, predictive_accuracy: 0.8447, prior_entropy: 0.9835, recall: 0.8447, relative_absolute_error: 0.4729, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3411, root_relative_squared_error: 0.6901, scimark_benchmark: 1730.9568, usercpu_time_millis: 5589.396, usercpu_time_millis_testing: 26.64, usercpu_time_millis_training: 5562.756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7867, f_measure: 0.6948, kappa: 0.3814, kb_relative_information_score: 12288.6864, mean_absolute_error: 0.3659, 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: 0.7488, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4262, root_relative_squared_error: 0.8622, scimark_benchmark: 1848.2024, usercpu_time_millis: 250.239, usercpu_time_millis_testing: 0.079, usercpu_time_millis_training: 250.16,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8242, f_measure: 0.7571, kappa: 0.5, kb_relative_information_score: 15895.139, mean_absolute_error: 0.3312, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7626, predictive_accuracy: 0.7617, prior_entropy: 0.9835, recall: 0.7617, relative_absolute_error: 0.6778, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4062, root_relative_squared_error: 0.8218, scimark_benchmark: 1851.8567, usercpu_time_millis: 5607.492, usercpu_time_millis_testing: 20.446, usercpu_time_millis_training: 5587.046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8545, f_measure: 0.7848, kappa: 0.5574, kb_relative_information_score: 18034.6594, mean_absolute_error: 0.308, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7865, predictive_accuracy: 0.7869, prior_entropy: 0.9835, recall: 0.7869, relative_absolute_error: 0.6303, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3898, root_relative_squared_error: 0.7887, scimark_benchmark: 1850.2875, usercpu_time_millis: 5441.635, usercpu_time_millis_testing: 27.245, usercpu_time_millis_training: 5414.39,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8648, f_measure: 0.7853, kappa: 0.5583, kb_relative_information_score: 16171.3947, mean_absolute_error: 0.3306, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7965, predictive_accuracy: 0.7907, prior_entropy: 0.9835, recall: 0.7907, relative_absolute_error: 0.6765, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3913, root_relative_squared_error: 0.7917, scimark_benchmark: 1845.3208, usercpu_time_millis: 5403.487, usercpu_time_millis_testing: 28.077, usercpu_time_millis_training: 5375.41,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8435, f_measure: 0.7738, kappa: 0.5344, kb_relative_information_score: 17373.2396, mean_absolute_error: 0.3156, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7786, predictive_accuracy: 0.7776, prior_entropy: 0.9835, recall: 0.7776, relative_absolute_error: 0.646, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.396, root_relative_squared_error: 0.8012, scimark_benchmark: 1845.1352, usercpu_time_millis: 5541.609, usercpu_time_millis_testing: 30.145, usercpu_time_millis_training: 5511.464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7867, f_measure: 0.6946, kappa: 0.3812, kb_relative_information_score: 12334.2947, mean_absolute_error: 0.3653, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.6994, predictive_accuracy: 0.6931, prior_entropy: 0.9835, recall: 0.6931, relative_absolute_error: 0.7477, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4261, root_relative_squared_error: 0.8621, scimark_benchmark: 1857.0384, usercpu_time_millis: 244.092, usercpu_time_millis_testing: 0.075, usercpu_time_millis_training: 244.017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8242, f_measure: 0.7571, kappa: 0.5001, kb_relative_information_score: 15929.6885, mean_absolute_error: 0.3307, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7626, predictive_accuracy: 0.7617, prior_entropy: 0.9835, recall: 0.7617, relative_absolute_error: 0.6769, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4062, root_relative_squared_error: 0.8218, scimark_benchmark: 1732.4995, usercpu_time_millis: 5601.767, usercpu_time_millis_testing: 25.303, usercpu_time_millis_training: 5576.464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7622, f_measure: 0.6605, kappa: 0.326, kb_relative_information_score: 10554.3376, mean_absolute_error: 0.3826, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.6793, predictive_accuracy: 0.6591, prior_entropy: 0.9835, recall: 0.6591, relative_absolute_error: 0.783, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4358, root_relative_squared_error: 0.8817, scimark_benchmark: 1729.3292, usercpu_time_millis: 407.335, usercpu_time_millis_testing: 0.077, usercpu_time_millis_training: 407.258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.733, f_measure: 0.6233, kappa: 0.2739, kb_relative_information_score: 8812.5647, mean_absolute_error: 0.3992, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.664, predictive_accuracy: 0.6254, prior_entropy: 0.9835, recall: 0.6254, relative_absolute_error: 0.817, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4462, root_relative_squared_error: 0.9027, scimark_benchmark: 1857.7641, usercpu_time_millis: 503.376, usercpu_time_millis_testing: 0.077, usercpu_time_millis_training: 503.299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6684, f_measure: 0.5356, kappa: 0.1766, kb_relative_information_score: 5310.7018, mean_absolute_error: 0.433, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.6427, predictive_accuracy: 0.5587, prior_entropy: 0.9835, recall: 0.5587, relative_absolute_error: 0.8862, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4648, root_relative_squared_error: 0.9404, scimark_benchmark: 1853.3841, usercpu_time_millis: 756.689, usercpu_time_millis_testing: 0.077, usercpu_time_millis_training: 756.612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7615, f_measure: 0.6606, kappa: 0.3262, kb_relative_information_score: 10499.5961, mean_absolute_error: 0.3832, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.6793, predictive_accuracy: 0.6592, prior_entropy: 0.9835, recall: 0.6592, relative_absolute_error: 0.7842, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4362, root_relative_squared_error: 0.8825, scimark_benchmark: 1841.1108, usercpu_time_millis: 404.125, usercpu_time_millis_testing: 0.078, usercpu_time_millis_training: 404.047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8242, f_measure: 0.757, kappa: 0.4997, kb_relative_information_score: 15904.9367, mean_absolute_error: 0.331, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7624, predictive_accuracy: 0.7615, prior_entropy: 0.9835, recall: 0.7615, relative_absolute_error: 0.6775, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4062, root_relative_squared_error: 0.8218, scimark_benchmark: 1731.163, usercpu_time_millis: 5713.765, usercpu_time_millis_testing: 24.927, usercpu_time_millis_training: 5688.838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.854, f_measure: 0.7804, kappa: 0.5481, kb_relative_information_score: 18339.3163, mean_absolute_error: 0.3045, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7829, predictive_accuracy: 0.783, prior_entropy: 0.9835, recall: 0.783, relative_absolute_error: 0.6232, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3895, root_relative_squared_error: 0.7879, scimark_benchmark: 1838.0322, usercpu_time_millis: 5773.387, usercpu_time_millis_testing: 23.713, usercpu_time_millis_training: 5749.674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8469, f_measure: 0.7739, kappa: 0.5347, kb_relative_information_score: 16894.8181, mean_absolute_error: 0.3209, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7819, predictive_accuracy: 0.7788, prior_entropy: 0.9835, recall: 0.7788, relative_absolute_error: 0.6567, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3952, root_relative_squared_error: 0.7996, scimark_benchmark: 1776.0062, usercpu_time_millis: 5804.992, usercpu_time_millis_testing: 23.169, usercpu_time_millis_training: 5781.823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.827, f_measure: 0.7099, kappa: 0.4117, kb_relative_information_score: 12006.708, mean_absolute_error: 0.3712, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.752, predictive_accuracy: 0.7291, prior_entropy: 0.9835, recall: 0.7291, relative_absolute_error: 0.7597, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4212, root_relative_squared_error: 0.8521, scimark_benchmark: 1850.2875, usercpu_time_millis: 5636.011, usercpu_time_millis_testing: 32.594, usercpu_time_millis_training: 5603.417,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8187, f_measure: 0.7559, kappa: 0.4976, kb_relative_information_score: 15818.3512, mean_absolute_error: 0.3312, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7601, predictive_accuracy: 0.7599, prior_entropy: 0.9835, recall: 0.7599, relative_absolute_error: 0.6778, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.409, root_relative_squared_error: 0.8274, scimark_benchmark: 1821.5465, usercpu_time_millis: 5633.532, usercpu_time_millis_testing: 34.892, usercpu_time_millis_training: 5598.64,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8242, f_measure: 0.757, kappa: 0.4997, kb_relative_information_score: 15904.2644, mean_absolute_error: 0.3311, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7624, predictive_accuracy: 0.7615, prior_entropy: 0.9835, recall: 0.7615, relative_absolute_error: 0.6775, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4062, root_relative_squared_error: 0.8218, scimark_benchmark: 1845.6375, usercpu_time_millis: 5701.506, usercpu_time_millis_testing: 19.159, usercpu_time_millis_training: 5682.347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8374, f_measure: 0.7652, kappa: 0.5167, kb_relative_information_score: 15639.788, mean_absolute_error: 0.3335, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7718, predictive_accuracy: 0.7699, prior_entropy: 0.9835, recall: 0.7699, relative_absolute_error: 0.6825, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.404, root_relative_squared_error: 0.8173, scimark_benchmark: 1853.3841, usercpu_time_millis: 5749.276, usercpu_time_millis_testing: 33.031, usercpu_time_millis_training: 5716.245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8598, f_measure: 0.7901, kappa: 0.5684, kb_relative_information_score: 18804.0179, mean_absolute_error: 0.2997, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7912, predictive_accuracy: 0.7918, prior_entropy: 0.9835, recall: 0.7918, relative_absolute_error: 0.6134, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3853, root_relative_squared_error: 0.7796, scimark_benchmark: 1854.1098, usercpu_time_millis: 5806.345, usercpu_time_millis_testing: 29.523, usercpu_time_millis_training: 5776.822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8715, f_measure: 0.7953, kappa: 0.5788, kb_relative_information_score: 20153.5929, mean_absolute_error: 0.2856, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7977, predictive_accuracy: 0.7976, prior_entropy: 0.9835, recall: 0.7976, relative_absolute_error: 0.5846, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3775, root_relative_squared_error: 0.7638, scimark_benchmark: 1844.1673, usercpu_time_millis: 5815.388, usercpu_time_millis_testing: 23.262, usercpu_time_millis_training: 5792.126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8242, f_measure: 0.757, kappa: 0.4997, kb_relative_information_score: 15908.1103, mean_absolute_error: 0.331, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7624, predictive_accuracy: 0.7615, prior_entropy: 0.9835, recall: 0.7615, relative_absolute_error: 0.6774, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4062, root_relative_squared_error: 0.8218, scimark_benchmark: 1850.2875, usercpu_time_millis: 5859.336, usercpu_time_millis_testing: 21.348, usercpu_time_millis_training: 5837.988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8242, f_measure: 0.757, kappa: 0.4998, kb_relative_information_score: 15916.6083, mean_absolute_error: 0.3309, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7625, predictive_accuracy: 0.7616, prior_entropy: 0.9835, recall: 0.7616, relative_absolute_error: 0.6772, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4062, root_relative_squared_error: 0.8218, scimark_benchmark: 1854.9533, usercpu_time_millis: 6007.277, usercpu_time_millis_testing: 21.739, usercpu_time_millis_training: 5985.538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8242, f_measure: 0.7571, kappa: 0.5001, kb_relative_information_score: 15914.99, mean_absolute_error: 0.3309, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7626, predictive_accuracy: 0.7617, prior_entropy: 0.9835, recall: 0.7617, relative_absolute_error: 0.6773, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4062, root_relative_squared_error: 0.8218, scimark_benchmark: 1721.2231, usercpu_time_millis: 5884.352, usercpu_time_millis_testing: 23.843, usercpu_time_millis_training: 5860.509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8242, f_measure: 0.7569, kappa: 0.4996, kb_relative_information_score: 15890.4282, mean_absolute_error: 0.3312, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7624, predictive_accuracy: 0.7615, prior_entropy: 0.9835, recall: 0.7615, relative_absolute_error: 0.6779, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4062, root_relative_squared_error: 0.8218, scimark_benchmark: 1890.063, usercpu_time_millis: 5921.311, usercpu_time_millis_testing: 21.291, usercpu_time_millis_training: 5900.02,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7019, f_measure: 0.5822, kappa: 0.2241, kb_relative_information_score: 6996.4042, mean_absolute_error: 0.4169, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.6518, predictive_accuracy: 0.592, prior_entropy: 0.9835, recall: 0.592, relative_absolute_error: 0.8532, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4557, root_relative_squared_error: 0.922, scimark_benchmark: 1837.7948, usercpu_time_millis: 660.453, usercpu_time_millis_testing: 0.073, usercpu_time_millis_training: 660.38,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8559, f_measure: 0.7819, kappa: 0.5513, kb_relative_information_score: 18693.959, mean_absolute_error: 0.3012, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7846, predictive_accuracy: 0.7846, prior_entropy: 0.9835, recall: 0.7846, relative_absolute_error: 0.6163, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3879, root_relative_squared_error: 0.7848, scimark_benchmark: 1842.127, usercpu_time_millis: 5781.492, usercpu_time_millis_testing: 25.466, usercpu_time_millis_training: 5756.026,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs