Task
Supervised Classification on electricity

Supervised Classification on electricity

Task 219 Supervised Classification electricity 77734 runs submitted
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  • at2 mythbusting_1 OpenML-CC18 OpenML100 study_1 study_123 study_14 study_15 study_20 study_41 study_7 study_70 study_99 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9681, f_measure: 0.9047, kappa: 0.8047, kb_relative_information_score: 30722.2403, mean_absolute_error: 0.1702, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9046, predictive_accuracy: 0.9047, prior_entropy: 0.9835, recall: 0.9047, relative_absolute_error: 0.3483, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2684, root_relative_squared_error: 0.543, scimark_benchmark: 1827.1204, usercpu_time_millis: 85.183, usercpu_time_millis_testing: 1.977, usercpu_time_millis_training: 83.206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.926, f_measure: 0.843, kappa: 0.678, kb_relative_information_score: 24027.9226, mean_absolute_error: 0.2438, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8431, predictive_accuracy: 0.8435, prior_entropy: 0.9835, recall: 0.8435, relative_absolute_error: 0.4991, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3324, root_relative_squared_error: 0.6724, scimark_benchmark: 1853.9121, usercpu_time_millis: 88.244, usercpu_time_millis_testing: 3.908, usercpu_time_millis_training: 84.336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4204, kb_relative_information_score: -0.5877, 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: 1835.7111, usercpu_time_millis: 94.38, usercpu_time_millis_testing: 8.412, usercpu_time_millis_training: 85.968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9057, f_measure: 0.8225, kappa: 0.6353, kb_relative_information_score: 21306.7717, mean_absolute_error: 0.2747, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8233, predictive_accuracy: 0.8237, prior_entropy: 0.9835, recall: 0.8237, relative_absolute_error: 0.5621, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3535, root_relative_squared_error: 0.7152, scimark_benchmark: 1730.073, usercpu_time_millis: 25.086, usercpu_time_millis_testing: 1.065, usercpu_time_millis_training: 24.021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8799, f_measure: 0.8029, kappa: 0.595, kb_relative_information_score: 19184.0953, mean_absolute_error: 0.2971, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8038, predictive_accuracy: 0.8043, prior_entropy: 0.9835, recall: 0.8043, relative_absolute_error: 0.608, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3739, root_relative_squared_error: 0.7564, scimark_benchmark: 1247.6413, usercpu_time_millis: 61.551, usercpu_time_millis_testing: 4.161, usercpu_time_millis_training: 57.39,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9463, f_measure: 0.8696, kappa: 0.7329, kb_relative_information_score: 26842.3217, mean_absolute_error: 0.213, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8696, predictive_accuracy: 0.8698, prior_entropy: 0.9835, recall: 0.8698, relative_absolute_error: 0.4359, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3067, root_relative_squared_error: 0.6205, scimark_benchmark: 1239.7267, usercpu_time_millis: 1453.774, usercpu_time_millis_testing: 42.015, usercpu_time_millis_training: 1411.759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9459, f_measure: 0.8689, kappa: 0.7312, kb_relative_information_score: 26400.6644, mean_absolute_error: 0.2186, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.869, predictive_accuracy: 0.8692, prior_entropy: 0.9835, recall: 0.8692, relative_absolute_error: 0.4475, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3084, root_relative_squared_error: 0.6239, scimark_benchmark: 1262.8674, usercpu_time_millis: 2502.138, usercpu_time_millis_testing: 99.966, usercpu_time_millis_training: 2402.172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8577, f_measure: 0.7591, kappa: 0.5056, kb_relative_information_score: 14628.0055, mean_absolute_error: 0.3498, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7767, predictive_accuracy: 0.7676, prior_entropy: 0.9835, recall: 0.7676, relative_absolute_error: 0.716, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3991, root_relative_squared_error: 0.8074, scimark_benchmark: 1850.2875, usercpu_time_millis: 68.493, usercpu_time_millis_testing: 7.546, usercpu_time_millis_training: 60.947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8851, f_measure: 0.8084, kappa: 0.6068, kb_relative_information_score: 20144.9462, mean_absolute_error: 0.2862, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8084, predictive_accuracy: 0.809, prior_entropy: 0.9835, recall: 0.809, relative_absolute_error: 0.5856, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3686, root_relative_squared_error: 0.7458, scimark_benchmark: 1736.4021, usercpu_time_millis: 6.314, usercpu_time_millis_testing: 0.381, usercpu_time_millis_training: 5.933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9335, f_measure: 0.8523, kappa: 0.697, kb_relative_information_score: 24988.2979, mean_absolute_error: 0.2334, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8523, predictive_accuracy: 0.8527, prior_entropy: 0.9835, recall: 0.8527, relative_absolute_error: 0.4777, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3236, root_relative_squared_error: 0.6547, scimark_benchmark: 1728.075, usercpu_time_millis: 96.19, usercpu_time_millis_testing: 2.816, usercpu_time_millis_training: 93.374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9016, f_measure: 0.8199, kappa: 0.6299, kb_relative_information_score: 20851.7038, mean_absolute_error: 0.2797, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8208, predictive_accuracy: 0.8211, prior_entropy: 0.9835, recall: 0.8211, relative_absolute_error: 0.5725, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3572, root_relative_squared_error: 0.7227, scimark_benchmark: 1849.8902, usercpu_time_millis: 198.271, usercpu_time_millis_testing: 13.887, usercpu_time_millis_training: 184.384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9079, f_measure: 0.8237, kappa: 0.6382, kb_relative_information_score: 22225.3273, mean_absolute_error: 0.2632, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8238, predictive_accuracy: 0.8244, prior_entropy: 0.9835, recall: 0.8244, relative_absolute_error: 0.5386, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.35, root_relative_squared_error: 0.7081, scimark_benchmark: 1830.668, usercpu_time_millis: 368.766, usercpu_time_millis_testing: 19.489, usercpu_time_millis_training: 349.277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9104, f_measure: 0.8271, kappa: 0.6451, kb_relative_information_score: 22336.2782, mean_absolute_error: 0.2623, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8273, predictive_accuracy: 0.8278, prior_entropy: 0.9835, recall: 0.8278, relative_absolute_error: 0.5368, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3479, root_relative_squared_error: 0.704, scimark_benchmark: 1269.2151, usercpu_time_millis: 799.665, usercpu_time_millis_testing: 36.399, usercpu_time_millis_training: 763.266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.797, f_measure: 0.7495, kappa: 0.4857, kb_relative_information_score: 10887.0857, mean_absolute_error: 0.391, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7663, predictive_accuracy: 0.7583, prior_entropy: 0.9835, recall: 0.7583, relative_absolute_error: 0.8002, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4239, root_relative_squared_error: 0.8575, scimark_benchmark: 1851.4874, usercpu_time_millis: 8.389, usercpu_time_millis_testing: 0.607, usercpu_time_millis_training: 7.782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8683, f_measure: 0.7706, kappa: 0.5285, kb_relative_information_score: 16166.2251, mean_absolute_error: 0.3325, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7841, predictive_accuracy: 0.7774, prior_entropy: 0.9835, recall: 0.7774, relative_absolute_error: 0.6804, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3893, root_relative_squared_error: 0.7875, scimark_benchmark: 1699.9393, usercpu_time_millis: 97.724, usercpu_time_millis_testing: 6.582, usercpu_time_millis_training: 91.142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.4204, kb_relative_information_score: -0.2366, 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: 1852.9988, usercpu_time_millis: 44.955, usercpu_time_millis_testing: 7.326, usercpu_time_millis_training: 37.629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9315, f_measure: 0.8522, kappa: 0.6965, kb_relative_information_score: 21778.1757, mean_absolute_error: 0.2748, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8526, predictive_accuracy: 0.8528, prior_entropy: 0.9835, recall: 0.8528, relative_absolute_error: 0.5623, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3361, root_relative_squared_error: 0.6801, scimark_benchmark: 1736.0017, usercpu_time_millis: 75.774, usercpu_time_millis_testing: 5.936, usercpu_time_millis_training: 69.838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8448, f_measure: 0.7566, kappa: 0.5006, kb_relative_information_score: 13173.1837, mean_absolute_error: 0.3662, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7746, predictive_accuracy: 0.7654, prior_entropy: 0.9835, recall: 0.7654, relative_absolute_error: 0.7495, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.408, root_relative_squared_error: 0.8255, scimark_benchmark: 1736.4021, usercpu_time_millis: 106.306, usercpu_time_millis_testing: 10.728, usercpu_time_millis_training: 95.578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8484, f_measure: 0.7549, kappa: 0.4966, kb_relative_information_score: 15582.7077, mean_absolute_error: 0.3372, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7698, predictive_accuracy: 0.7629, prior_entropy: 0.9835, recall: 0.7629, relative_absolute_error: 0.6902, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4009, root_relative_squared_error: 0.8112, scimark_benchmark: 1832.1735, usercpu_time_millis: 124.532, usercpu_time_millis_testing: 12.101, usercpu_time_millis_training: 112.431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9551, f_measure: 0.884, kappa: 0.7624, kb_relative_information_score: 27794.7267, mean_absolute_error: 0.2034, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.884, predictive_accuracy: 0.8842, prior_entropy: 0.9835, recall: 0.8842, relative_absolute_error: 0.4162, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2948, root_relative_squared_error: 0.5963, scimark_benchmark: 1857.5664, usercpu_time_millis: 248.856, usercpu_time_millis_testing: 8.234, usercpu_time_millis_training: 240.622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9461, f_measure: 0.8699, kappa: 0.7332, kb_relative_information_score: 26449.4151, mean_absolute_error: 0.2181, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8699, predictive_accuracy: 0.8702, prior_entropy: 0.9835, recall: 0.8702, relative_absolute_error: 0.4464, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3079, root_relative_squared_error: 0.623, scimark_benchmark: 1253.4599, usercpu_time_millis: 2282.385, usercpu_time_millis_testing: 100.791, usercpu_time_millis_training: 2181.594,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8843, f_measure: 0.8044, kappa: 0.5974, kb_relative_information_score: 18929.4402, mean_absolute_error: 0.3008, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8079, predictive_accuracy: 0.8069, prior_entropy: 0.9835, recall: 0.8069, relative_absolute_error: 0.6156, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3724, root_relative_squared_error: 0.7535, scimark_benchmark: 1849.8294, usercpu_time_millis: 304.579, usercpu_time_millis_testing: 19.648, usercpu_time_millis_training: 284.931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9737, f_measure: 0.9149, kappa: 0.8256, kb_relative_information_score: 31389.6506, mean_absolute_error: 0.1639, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9148, predictive_accuracy: 0.9149, prior_entropy: 0.9835, recall: 0.9149, relative_absolute_error: 0.3355, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2574, root_relative_squared_error: 0.5209, scimark_benchmark: 1279.4163, usercpu_time_millis: 804.774, usercpu_time_millis_testing: 24.36, usercpu_time_millis_training: 780.414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9404, f_measure: 0.8623, kappa: 0.7177, kb_relative_information_score: 26095.8813, mean_absolute_error: 0.2209, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8623, predictive_accuracy: 0.8626, prior_entropy: 0.9835, recall: 0.8626, relative_absolute_error: 0.4521, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3145, root_relative_squared_error: 0.6364, scimark_benchmark: 1736.0017, usercpu_time_millis: 334.238, usercpu_time_millis_testing: 10.79, usercpu_time_millis_training: 323.448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.884, f_measure: 0.8081, kappa: 0.606, kb_relative_information_score: 19770.6287, mean_absolute_error: 0.2904, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8084, predictive_accuracy: 0.8091, prior_entropy: 0.9835, recall: 0.8091, relative_absolute_error: 0.5944, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.37, root_relative_squared_error: 0.7486, scimark_benchmark: 1852.9259, usercpu_time_millis: 3.269, usercpu_time_millis_testing: 0.174, usercpu_time_millis_training: 3.095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8284, f_measure: 0.7486, kappa: 0.484, kb_relative_information_score: 15093.4425, mean_absolute_error: 0.3408, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7651, predictive_accuracy: 0.7574, prior_entropy: 0.9835, recall: 0.7574, relative_absolute_error: 0.6975, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4101, root_relative_squared_error: 0.8298, scimark_benchmark: 1852.9259, usercpu_time_millis: 45.471, usercpu_time_millis_testing: 2.505, usercpu_time_millis_training: 42.966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9359, f_measure: 0.8562, kappa: 0.7051, kb_relative_information_score: 25538.3816, mean_absolute_error: 0.2269, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8562, predictive_accuracy: 0.8565, prior_entropy: 0.9835, recall: 0.8565, relative_absolute_error: 0.4644, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3201, root_relative_squared_error: 0.6476, scimark_benchmark: 1852.4008, usercpu_time_millis: 159.751, usercpu_time_millis_testing: 6.457, usercpu_time_millis_training: 153.294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9749, f_measure: 0.9193, kappa: 0.8349, kb_relative_information_score: 33389.6747, mean_absolute_error: 0.1386, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9193, predictive_accuracy: 0.9194, prior_entropy: 0.9835, recall: 0.9194, relative_absolute_error: 0.2836, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2475, root_relative_squared_error: 0.5007, scimark_benchmark: 1281.5809, usercpu_time_millis: 318.597, usercpu_time_millis_testing: 5.787, usercpu_time_millis_training: 312.81,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.917, f_measure: 0.8334, kappa: 0.6578, kb_relative_information_score: 22485.3602, mean_absolute_error: 0.2618, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8338, predictive_accuracy: 0.8342, prior_entropy: 0.9835, recall: 0.8342, relative_absolute_error: 0.5358, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.343, root_relative_squared_error: 0.6939, scimark_benchmark: 1277.1312, usercpu_time_millis: 1255.321, usercpu_time_millis_testing: 67.399, usercpu_time_millis_training: 1187.922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7749, f_measure: 0.7187, kappa: 0.4211, kb_relative_information_score: 11687.9212, mean_absolute_error: 0.3746, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7235, predictive_accuracy: 0.7244, prior_entropy: 0.9835, recall: 0.7244, relative_absolute_error: 0.7668, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.433, root_relative_squared_error: 0.8761, scimark_benchmark: 1284.2493, usercpu_time_millis: 8263.238, usercpu_time_millis_testing: 49.322, usercpu_time_millis_training: 8213.916,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9419, f_measure: 0.8616, kappa: 0.716, kb_relative_information_score: 25075.6679, mean_absolute_error: 0.2348, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8618, predictive_accuracy: 0.8621, prior_entropy: 0.9835, recall: 0.8621, relative_absolute_error: 0.4806, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.316, root_relative_squared_error: 0.6392, scimark_benchmark: 1282.8628, usercpu_time_millis: 206.633, usercpu_time_millis_testing: 10.051, usercpu_time_millis_training: 196.582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8935, f_measure: 0.8112, kappa: 0.6115, kb_relative_information_score: 17777.2599, mean_absolute_error: 0.3167, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8154, predictive_accuracy: 0.8139, prior_entropy: 0.9835, recall: 0.8139, relative_absolute_error: 0.6482, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3716, root_relative_squared_error: 0.7519, scimark_benchmark: 1255.4844, usercpu_time_millis: 414.494, usercpu_time_millis_testing: 37.232, usercpu_time_millis_training: 377.262,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.931, f_measure: 0.8481, kappa: 0.6881, kb_relative_information_score: 23631.0803, mean_absolute_error: 0.2506, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8485, predictive_accuracy: 0.8488, prior_entropy: 0.9835, recall: 0.8488, relative_absolute_error: 0.5128, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3294, root_relative_squared_error: 0.6664, scimark_benchmark: 1275.8234, usercpu_time_millis: 899.454, usercpu_time_millis_testing: 41.865, usercpu_time_millis_training: 857.589,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9749, f_measure: 0.9185, kappa: 0.8333, kb_relative_information_score: 32505.9077, mean_absolute_error: 0.1502, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9185, predictive_accuracy: 0.9186, prior_entropy: 0.9835, recall: 0.9186, relative_absolute_error: 0.3073, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2506, root_relative_squared_error: 0.507, scimark_benchmark: 1330.3472, usercpu_time_millis: 170.111, usercpu_time_millis_testing: 5.045, usercpu_time_millis_training: 165.066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9382, f_measure: 0.8598, kappa: 0.7121, kb_relative_information_score: 22607.3043, mean_absolute_error: 0.266, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8603, predictive_accuracy: 0.8604, prior_entropy: 0.9835, recall: 0.8604, relative_absolute_error: 0.5443, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3286, root_relative_squared_error: 0.6648, scimark_benchmark: 1316.0899, usercpu_time_millis: 353.563, usercpu_time_millis_testing: 28.323, usercpu_time_millis_training: 325.24,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9559, f_measure: 0.8861, kappa: 0.7666, kb_relative_information_score: 28134.7475, mean_absolute_error: 0.1994, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.886, predictive_accuracy: 0.8862, prior_entropy: 0.9835, recall: 0.8862, relative_absolute_error: 0.4081, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2926, root_relative_squared_error: 0.5919, scimark_benchmark: 1330.27, usercpu_time_millis: 1662.231, usercpu_time_millis_testing: 51.205, usercpu_time_millis_training: 1611.026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9466, f_measure: 0.8682, kappa: 0.7296, kb_relative_information_score: 26134.3064, mean_absolute_error: 0.2222, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8683, predictive_accuracy: 0.8686, prior_entropy: 0.9835, recall: 0.8686, relative_absolute_error: 0.4547, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3086, root_relative_squared_error: 0.6244, scimark_benchmark: 1278.2096, usercpu_time_millis: 619.133, usercpu_time_millis_testing: 22.982, usercpu_time_millis_training: 596.151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9653, f_measure: 0.9018, kappa: 0.7989, kb_relative_information_score: 31915.0603, mean_absolute_error: 0.1538, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9018, predictive_accuracy: 0.9018, prior_entropy: 0.9835, recall: 0.9018, relative_absolute_error: 0.3148, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2685, root_relative_squared_error: 0.5432, scimark_benchmark: 1279.1815, usercpu_time_millis: 2421.476, usercpu_time_millis_testing: 40.799, usercpu_time_millis_training: 2380.677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8457, f_measure: 0.7613, kappa: 0.5099, kb_relative_information_score: 14566.5015, mean_absolute_error: 0.3473, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7775, predictive_accuracy: 0.7693, prior_entropy: 0.9835, recall: 0.7693, relative_absolute_error: 0.7108, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4047, root_relative_squared_error: 0.8188, scimark_benchmark: 1324.5094, usercpu_time_millis: 6132.42, usercpu_time_millis_testing: 35.523, usercpu_time_millis_training: 6096.897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9147, f_measure: 0.8312, kappa: 0.6535, kb_relative_information_score: 22770.9083, mean_absolute_error: 0.2575, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8313, predictive_accuracy: 0.8318, prior_entropy: 0.9835, recall: 0.8318, relative_absolute_error: 0.527, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.344, root_relative_squared_error: 0.696, scimark_benchmark: 1251.9394, usercpu_time_millis: 1817.156, usercpu_time_millis_testing: 66.711, usercpu_time_millis_training: 1750.445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9398, f_measure: 0.8625, kappa: 0.7178, kb_relative_information_score: 22828.0917, mean_absolute_error: 0.2637, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8629, predictive_accuracy: 0.8631, prior_entropy: 0.9835, recall: 0.8631, relative_absolute_error: 0.5396, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3265, root_relative_squared_error: 0.6606, scimark_benchmark: 1277.9293, usercpu_time_millis: 380.915, usercpu_time_millis_testing: 28.119, usercpu_time_millis_training: 352.796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9201, f_measure: 0.8373, kappa: 0.666, kb_relative_information_score: 22856.5564, mean_absolute_error: 0.2577, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8376, predictive_accuracy: 0.838, prior_entropy: 0.9835, recall: 0.838, relative_absolute_error: 0.5274, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3398, root_relative_squared_error: 0.6874, scimark_benchmark: 1273.4444, usercpu_time_millis: 625.079, usercpu_time_millis_testing: 37.564, usercpu_time_millis_training: 587.515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9027, f_measure: 0.8196, kappa: 0.6289, kb_relative_information_score: 18538.3548, mean_absolute_error: 0.309, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8224, predictive_accuracy: 0.8216, prior_entropy: 0.9835, recall: 0.8216, relative_absolute_error: 0.6323, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3646, root_relative_squared_error: 0.7376, scimark_benchmark: 1258.9263, usercpu_time_millis: 373.546, usercpu_time_millis_testing: 22.73, usercpu_time_millis_training: 350.816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9012, f_measure: 0.8171, kappa: 0.6249, kb_relative_information_score: 21936.6024, mean_absolute_error: 0.2655, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8171, predictive_accuracy: 0.8177, prior_entropy: 0.9835, recall: 0.8177, relative_absolute_error: 0.5434, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3555, root_relative_squared_error: 0.7192, scimark_benchmark: 1263.2619, usercpu_time_millis: 2652.803, usercpu_time_millis_testing: 92.418, usercpu_time_millis_training: 2560.385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9212, f_measure: 0.8385, kappa: 0.6687, kb_relative_information_score: 23521.3629, mean_absolute_error: 0.2493, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8385, predictive_accuracy: 0.839, prior_entropy: 0.9835, recall: 0.839, relative_absolute_error: 0.5103, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3373, root_relative_squared_error: 0.6825, scimark_benchmark: 1278.4228, usercpu_time_millis: 1453.533, usercpu_time_millis_testing: 54.726, usercpu_time_millis_training: 1398.807,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8651, f_measure: 0.7662, kappa: 0.5198, kb_relative_information_score: 15664.2943, mean_absolute_error: 0.3381, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7815, predictive_accuracy: 0.7737, prior_entropy: 0.9835, recall: 0.7737, relative_absolute_error: 0.692, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3923, root_relative_squared_error: 0.7937, scimark_benchmark: 1267.4141, usercpu_time_millis: 627.415, usercpu_time_millis_testing: 48.293, usercpu_time_millis_training: 579.122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8513, f_measure: 0.7871, kappa: 0.5642, kb_relative_information_score: 17971.8004, mean_absolute_error: 0.3097, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7871, predictive_accuracy: 0.7871, prior_entropy: 0.9835, recall: 0.7871, relative_absolute_error: 0.6339, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3957, root_relative_squared_error: 0.8006, scimark_benchmark: 1319.2425, usercpu_time_millis: 13384.18, usercpu_time_millis_testing: 84.989, usercpu_time_millis_training: 13299.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8981, f_measure: 0.8158, kappa: 0.621, kb_relative_information_score: 19891.4314, mean_absolute_error: 0.2913, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8181, predictive_accuracy: 0.8176, prior_entropy: 0.9835, recall: 0.8176, relative_absolute_error: 0.5961, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.362, root_relative_squared_error: 0.7324, scimark_benchmark: 1330.2231, usercpu_time_millis: 1016.454, usercpu_time_millis_testing: 73.036, usercpu_time_millis_training: 943.418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8624, f_measure: 0.7636, kappa: 0.5144, kb_relative_information_score: 16125.433, mean_absolute_error: 0.3324, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7792, predictive_accuracy: 0.7713, prior_entropy: 0.9835, recall: 0.7713, relative_absolute_error: 0.6803, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3924, root_relative_squared_error: 0.7939, scimark_benchmark: 1318.6816, usercpu_time_millis: 134.587, usercpu_time_millis_testing: 10.256, usercpu_time_millis_training: 124.331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9253, f_measure: 0.8428, kappa: 0.6775, kb_relative_information_score: 23924.7193, mean_absolute_error: 0.245, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8429, predictive_accuracy: 0.8433, prior_entropy: 0.9835, recall: 0.8433, relative_absolute_error: 0.5015, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3332, root_relative_squared_error: 0.6741, scimark_benchmark: 1310.3235, usercpu_time_millis: 557.683, usercpu_time_millis_testing: 22.834, usercpu_time_millis_training: 534.849,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9329, f_measure: 0.8506, kappa: 0.6932, kb_relative_information_score: 23894.1586, mean_absolute_error: 0.2477, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8509, predictive_accuracy: 0.8512, prior_entropy: 0.9835, recall: 0.8512, relative_absolute_error: 0.5069, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.327, root_relative_squared_error: 0.6617, scimark_benchmark: 1327.3842, usercpu_time_millis: 519.503, usercpu_time_millis_testing: 28.482, usercpu_time_millis_training: 491.021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9028, f_measure: 0.8195, kappa: 0.6294, kb_relative_information_score: 21549.8673, mean_absolute_error: 0.271, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8196, predictive_accuracy: 0.8202, prior_entropy: 0.9835, recall: 0.8202, relative_absolute_error: 0.5546, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3549, root_relative_squared_error: 0.718, scimark_benchmark: 1304.772, usercpu_time_millis: 928.794, usercpu_time_millis_testing: 42.661, usercpu_time_millis_training: 886.133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.845, f_measure: 0.7565, kappa: 0.5005, kb_relative_information_score: 13169.0739, mean_absolute_error: 0.3662, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7751, predictive_accuracy: 0.7655, prior_entropy: 0.9835, recall: 0.7655, relative_absolute_error: 0.7495, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4078, root_relative_squared_error: 0.8251, scimark_benchmark: 1328.9728, usercpu_time_millis: 325.353, usercpu_time_millis_testing: 30.872, usercpu_time_millis_training: 294.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9336, f_measure: 0.8503, kappa: 0.6927, kb_relative_information_score: 24421.6382, mean_absolute_error: 0.2407, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8505, predictive_accuracy: 0.8509, prior_entropy: 0.9835, recall: 0.8509, relative_absolute_error: 0.4926, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3252, root_relative_squared_error: 0.6579, scimark_benchmark: 1307.2482, usercpu_time_millis: 2644.273, usercpu_time_millis_testing: 124.67, usercpu_time_millis_training: 2519.603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.871, f_measure: 0.7822, kappa: 0.5521, kb_relative_information_score: 15140.9205, mean_absolute_error: 0.3451, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7938, predictive_accuracy: 0.7879, prior_entropy: 0.9835, recall: 0.7879, relative_absolute_error: 0.7062, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3911, root_relative_squared_error: 0.7912, scimark_benchmark: 1324.9968, usercpu_time_millis: 27.275, usercpu_time_millis_testing: 2.081, usercpu_time_millis_training: 25.194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.949, f_measure: 0.874, kappa: 0.7415, kb_relative_information_score: 26441.7673, mean_absolute_error: 0.2193, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.874, predictive_accuracy: 0.8743, prior_entropy: 0.9835, recall: 0.8743, relative_absolute_error: 0.4488, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3051, root_relative_squared_error: 0.6174, scimark_benchmark: 1308.4958, usercpu_time_millis: 859.064, usercpu_time_millis_testing: 55.859, usercpu_time_millis_training: 803.205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9237, f_measure: 0.8419, kappa: 0.6758, kb_relative_information_score: 24330.9978, mean_absolute_error: 0.2394, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8418, predictive_accuracy: 0.8422, prior_entropy: 0.9835, recall: 0.8422, relative_absolute_error: 0.4899, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3336, root_relative_squared_error: 0.6749, scimark_benchmark: 1325.4768, usercpu_time_millis: 2159.567, usercpu_time_millis_testing: 66.835, usercpu_time_millis_training: 2092.732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8507, f_measure: 0.7564, kappa: 0.4998, kb_relative_information_score: 14651.0576, mean_absolute_error: 0.3492, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7732, predictive_accuracy: 0.7648, prior_entropy: 0.9835, recall: 0.7648, relative_absolute_error: 0.7146, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4018, root_relative_squared_error: 0.8128, scimark_benchmark: 1330.4338, usercpu_time_millis: 324.271, usercpu_time_millis_testing: 30.032, usercpu_time_millis_training: 294.239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8871, f_measure: 0.8095, kappa: 0.6081, kb_relative_information_score: 19293.7679, mean_absolute_error: 0.2968, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8119, predictive_accuracy: 0.8115, prior_entropy: 0.9835, recall: 0.8115, relative_absolute_error: 0.6075, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3698, root_relative_squared_error: 0.7481, scimark_benchmark: 1329.4995, usercpu_time_millis: 608.819, usercpu_time_millis_testing: 34.171, usercpu_time_millis_training: 574.648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9067, f_measure: 0.8238, kappa: 0.6382, kb_relative_information_score: 21710.832, mean_absolute_error: 0.2697, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8241, predictive_accuracy: 0.8247, prior_entropy: 0.9835, recall: 0.8247, relative_absolute_error: 0.5519, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3519, root_relative_squared_error: 0.712, scimark_benchmark: 1321.2741, usercpu_time_millis: 663.018, usercpu_time_millis_testing: 25.193, usercpu_time_millis_training: 637.825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8868, f_measure: 0.8009, kappa: 0.5902, kb_relative_information_score: 18577.4614, mean_absolute_error: 0.3056, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8058, predictive_accuracy: 0.804, prior_entropy: 0.9835, recall: 0.804, relative_absolute_error: 0.6255, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3722, root_relative_squared_error: 0.753, scimark_benchmark: 1325.8321, usercpu_time_millis: 823.023, usercpu_time_millis_testing: 49.162, usercpu_time_millis_training: 773.861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9624, f_measure: 0.8948, kappa: 0.7844, kb_relative_information_score: 28615.3351, mean_absolute_error: 0.1956, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8949, predictive_accuracy: 0.8951, prior_entropy: 0.9835, recall: 0.8951, relative_absolute_error: 0.4002, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2834, root_relative_squared_error: 0.5733, scimark_benchmark: 1329.0125, usercpu_time_millis: 315.084, usercpu_time_millis_testing: 14.281, usercpu_time_millis_training: 300.803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.918, f_measure: 0.8349, kappa: 0.6607, kb_relative_information_score: 20244.1791, mean_absolute_error: 0.2909, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8362, predictive_accuracy: 0.8362, prior_entropy: 0.9835, recall: 0.8362, relative_absolute_error: 0.5953, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3501, root_relative_squared_error: 0.7084, scimark_benchmark: 1331.7348, usercpu_time_millis: 458.505, usercpu_time_millis_testing: 35.177, usercpu_time_millis_training: 423.328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9296, f_measure: 0.8465, kappa: 0.6849, kb_relative_information_score: 24196.4351, mean_absolute_error: 0.2427, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8467, predictive_accuracy: 0.847, prior_entropy: 0.9835, recall: 0.847, relative_absolute_error: 0.4967, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3289, root_relative_squared_error: 0.6655, scimark_benchmark: 1318.3952, usercpu_time_millis: 2164.167, usercpu_time_millis_testing: 123.812, usercpu_time_millis_training: 2040.355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8675, f_measure: 0.7942, kappa: 0.578, kb_relative_information_score: 18680.1824, mean_absolute_error: 0.302, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7941, predictive_accuracy: 0.7948, prior_entropy: 0.9835, recall: 0.7948, relative_absolute_error: 0.6181, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3813, root_relative_squared_error: 0.7715, scimark_benchmark: 1294.8998, usercpu_time_millis: 415.856, usercpu_time_millis_testing: 29.475, usercpu_time_millis_training: 386.381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9203, f_measure: 0.8365, kappa: 0.6642, kb_relative_information_score: 22371.1501, mean_absolute_error: 0.2642, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8371, predictive_accuracy: 0.8374, prior_entropy: 0.9835, recall: 0.8374, relative_absolute_error: 0.5407, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.341, root_relative_squared_error: 0.6898, scimark_benchmark: 1311.5245, usercpu_time_millis: 1026.262, usercpu_time_millis_testing: 51.838, usercpu_time_millis_training: 974.424,

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