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: 0.9404, f_measure: 0.8743, kappa: 0.7427, kb_relative_information_score: 29933.8762, mean_absolute_error: 0.1724, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8743, predictive_accuracy: 0.8743, prior_entropy: 0.9835, recall: 0.8743, relative_absolute_error: 0.3529, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3043, root_relative_squared_error: 0.6156, scimark_benchmark: 1306.2288, usercpu_time_millis: 11.902, usercpu_time_millis_testing: 0.613, usercpu_time_millis_training: 11.289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.958, f_measure: 0.8888, kappa: 0.7722, kb_relative_information_score: 28399.8284, mean_absolute_error: 0.1969, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8888, predictive_accuracy: 0.889, prior_entropy: 0.9835, recall: 0.889, relative_absolute_error: 0.4029, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2891, root_relative_squared_error: 0.5849, scimark_benchmark: 1283.5396, usercpu_time_millis: 159.528, usercpu_time_millis_testing: 6.841, usercpu_time_millis_training: 152.687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9192, f_measure: 0.8392, kappa: 0.6695, kb_relative_information_score: 20588.2363, mean_absolute_error: 0.2871, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8404, predictive_accuracy: 0.8403, prior_entropy: 0.9835, recall: 0.8403, relative_absolute_error: 0.5875, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3479, root_relative_squared_error: 0.7038, scimark_benchmark: 1306.6372, usercpu_time_millis: 105.65, usercpu_time_millis_testing: 9.28, usercpu_time_millis_training: 96.37,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9381, f_measure: 0.8575, kappa: 0.7077, kb_relative_information_score: 25098.8577, mean_absolute_error: 0.2336, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8576, predictive_accuracy: 0.858, prior_entropy: 0.9835, recall: 0.858, relative_absolute_error: 0.478, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.319, root_relative_squared_error: 0.6454, scimark_benchmark: 1294.5299, usercpu_time_millis: 794.156, usercpu_time_millis_testing: 62.556, usercpu_time_millis_training: 731.6,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9655, f_measure: 0.8998, kappa: 0.7949, kb_relative_information_score: 29895.8939, mean_absolute_error: 0.1802, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8998, predictive_accuracy: 0.8999, prior_entropy: 0.9835, recall: 0.8999, relative_absolute_error: 0.3688, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2746, root_relative_squared_error: 0.5556, scimark_benchmark: 1305.9773, usercpu_time_millis: 1399.941, usercpu_time_millis_testing: 46.362, usercpu_time_millis_training: 1353.579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9718, f_measure: 0.9107, kappa: 0.817, kb_relative_information_score: 31098.0073, mean_absolute_error: 0.1669, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9107, predictive_accuracy: 0.9108, prior_entropy: 0.9835, recall: 0.9108, relative_absolute_error: 0.3416, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2615, root_relative_squared_error: 0.5292, scimark_benchmark: 1294.2807, usercpu_time_millis: 166.629, usercpu_time_millis_testing: 5.959, usercpu_time_millis_training: 160.67,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9431, f_measure: 0.8655, kappa: 0.7242, kb_relative_information_score: 25906.3272, mean_absolute_error: 0.2246, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8656, predictive_accuracy: 0.8658, prior_entropy: 0.9835, recall: 0.8658, relative_absolute_error: 0.4597, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3121, root_relative_squared_error: 0.6315, scimark_benchmark: 1284.1908, usercpu_time_millis: 1259.183, usercpu_time_millis_testing: 74.203, usercpu_time_millis_training: 1184.98,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9474, f_measure: 0.8726, kappa: 0.7388, kb_relative_information_score: 26514.1279, mean_absolute_error: 0.218, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8726, predictive_accuracy: 0.8729, prior_entropy: 0.9835, recall: 0.8729, relative_absolute_error: 0.4462, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3063, root_relative_squared_error: 0.6196, scimark_benchmark: 1304.166, usercpu_time_millis: 1308.97, usercpu_time_millis_testing: 74.386, usercpu_time_millis_training: 1234.584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9587, f_measure: 0.8894, kappa: 0.7733, kb_relative_information_score: 28238.5643, mean_absolute_error: 0.1992, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8894, predictive_accuracy: 0.8896, prior_entropy: 0.9835, recall: 0.8896, relative_absolute_error: 0.4076, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.289, root_relative_squared_error: 0.5846, scimark_benchmark: 1292.0009, usercpu_time_millis: 1114.024, usercpu_time_millis_testing: 50.723, usercpu_time_millis_training: 1063.301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9641, f_measure: 0.8988, kappa: 0.7927, kb_relative_information_score: 29628.1003, mean_absolute_error: 0.1832, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8988, predictive_accuracy: 0.899, prior_entropy: 0.9835, recall: 0.899, relative_absolute_error: 0.375, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2773, root_relative_squared_error: 0.561, scimark_benchmark: 1305.9687, usercpu_time_millis: 66.704, usercpu_time_millis_testing: 3.223, usercpu_time_millis_training: 63.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9623, f_measure: 0.9044, kappa: 0.8043, kb_relative_information_score: 32615.7966, mean_absolute_error: 0.1445, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9044, predictive_accuracy: 0.9044, prior_entropy: 0.9835, recall: 0.9044, relative_absolute_error: 0.2958, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2685, root_relative_squared_error: 0.5432, scimark_benchmark: 1301.7543, usercpu_time_millis: 31.337, usercpu_time_millis_testing: 1.35, usercpu_time_millis_training: 29.987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9377, f_measure: 0.86, kappa: 0.7126, kb_relative_information_score: 22602.0932, mean_absolute_error: 0.266, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8604, predictive_accuracy: 0.8606, prior_entropy: 0.9835, recall: 0.8606, relative_absolute_error: 0.5444, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3288, root_relative_squared_error: 0.6652, scimark_benchmark: 1303.9395, usercpu_time_millis: 213.894, usercpu_time_millis_testing: 13.832, usercpu_time_millis_training: 200.062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9603, f_measure: 0.8924, kappa: 0.7795, kb_relative_information_score: 29192.0701, mean_absolute_error: 0.1874, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8924, predictive_accuracy: 0.8925, prior_entropy: 0.9835, recall: 0.8925, relative_absolute_error: 0.3836, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2836, root_relative_squared_error: 0.5738, scimark_benchmark: 1288.5808, usercpu_time_millis: 79.716, usercpu_time_millis_testing: 2.94, usercpu_time_millis_training: 76.776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8255, f_measure: 0.7701, kappa: 0.5297, kb_relative_information_score: 21199.5864, mean_absolute_error: 0.2637, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7702, predictive_accuracy: 0.7701, prior_entropy: 0.9835, recall: 0.7701, relative_absolute_error: 0.5398, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4145, root_relative_squared_error: 0.8386, scimark_benchmark: 1297.017, usercpu_time_millis: 8.083, usercpu_time_millis_testing: 0.678, usercpu_time_millis_training: 7.405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9778, f_measure: 0.9223, kappa: 0.8409, kb_relative_information_score: 32853.9701, mean_absolute_error: 0.1467, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9223, predictive_accuracy: 0.9224, prior_entropy: 0.9835, recall: 0.9224, relative_absolute_error: 0.3003, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2446, root_relative_squared_error: 0.4948, scimark_benchmark: 1295.3184, usercpu_time_millis: 551.919, usercpu_time_millis_testing: 17.62, usercpu_time_millis_training: 534.299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9632, f_measure: 0.8959, kappa: 0.7867, kb_relative_information_score: 29137.5247, mean_absolute_error: 0.1891, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8959, predictive_accuracy: 0.896, prior_entropy: 0.9835, recall: 0.896, relative_absolute_error: 0.3869, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2805, root_relative_squared_error: 0.5676, scimark_benchmark: 1301.9709, usercpu_time_millis: 1134.622, usercpu_time_millis_testing: 51.599, usercpu_time_millis_training: 1083.023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.941, f_measure: 0.8624, kappa: 0.7179, kb_relative_information_score: 25659.2751, mean_absolute_error: 0.2272, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8624, predictive_accuracy: 0.8628, prior_entropy: 0.9835, recall: 0.8628, relative_absolute_error: 0.465, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3148, root_relative_squared_error: 0.6368, scimark_benchmark: 1284.423, usercpu_time_millis: 489.612, usercpu_time_millis_testing: 28.541, usercpu_time_millis_training: 461.071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9569, f_measure: 0.8862, kappa: 0.7666, kb_relative_information_score: 27611.853, mean_absolute_error: 0.2067, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8863, predictive_accuracy: 0.8865, prior_entropy: 0.9835, recall: 0.8865, relative_absolute_error: 0.423, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2931, root_relative_squared_error: 0.593, scimark_benchmark: 1307.3307, usercpu_time_millis: 684.497, usercpu_time_millis_testing: 39.52, usercpu_time_millis_training: 644.977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.967, f_measure: 0.9026, kappa: 0.8005, kb_relative_information_score: 30038.5563, mean_absolute_error: 0.1789, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9026, predictive_accuracy: 0.9028, prior_entropy: 0.9835, recall: 0.9028, relative_absolute_error: 0.3662, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2721, root_relative_squared_error: 0.5505, scimark_benchmark: 1307.0974, usercpu_time_millis: 109.529, usercpu_time_millis_testing: 5.524, usercpu_time_millis_training: 104.005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.951, f_measure: 0.8772, kappa: 0.7483, kb_relative_information_score: 26908.6118, mean_absolute_error: 0.2139, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8773, predictive_accuracy: 0.8775, prior_entropy: 0.9835, recall: 0.8775, relative_absolute_error: 0.4377, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3016, root_relative_squared_error: 0.6101, scimark_benchmark: 1304.0282, usercpu_time_millis: 1474.103, usercpu_time_millis_testing: 83.226, usercpu_time_millis_training: 1390.877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9574, f_measure: 0.8864, kappa: 0.7671, kb_relative_information_score: 27760.8031, mean_absolute_error: 0.2049, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8865, predictive_accuracy: 0.8867, prior_entropy: 0.9835, recall: 0.8867, relative_absolute_error: 0.4194, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2921, root_relative_squared_error: 0.5909, scimark_benchmark: 1282.721, usercpu_time_millis: 871.054, usercpu_time_millis_testing: 47.507, usercpu_time_millis_training: 823.547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.958, f_measure: 0.8873, kappa: 0.7689, kb_relative_information_score: 27856.2672, mean_absolute_error: 0.2038, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8874, predictive_accuracy: 0.8875, prior_entropy: 0.9835, recall: 0.8875, relative_absolute_error: 0.4172, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2912, root_relative_squared_error: 0.5891, scimark_benchmark: 1298.285, usercpu_time_millis: 457.38, usercpu_time_millis_testing: 24.217, usercpu_time_millis_training: 433.163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.947, f_measure: 0.8724, kappa: 0.7385, kb_relative_information_score: 26521.8725, mean_absolute_error: 0.2178, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8724, predictive_accuracy: 0.8727, prior_entropy: 0.9835, recall: 0.8727, relative_absolute_error: 0.4458, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3066, root_relative_squared_error: 0.6203, scimark_benchmark: 1291.0923, usercpu_time_millis: 987.994, usercpu_time_millis_testing: 54.794, usercpu_time_millis_training: 933.2,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9764, f_measure: 0.92, kappa: 0.8361, kb_relative_information_score: 32455.0623, mean_absolute_error: 0.1513, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9199, predictive_accuracy: 0.92, prior_entropy: 0.9835, recall: 0.92, relative_absolute_error: 0.3096, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2487, root_relative_squared_error: 0.5031, scimark_benchmark: 1299.9317, usercpu_time_millis: 501.887, usercpu_time_millis_testing: 11.507, usercpu_time_millis_training: 490.38,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9398, f_measure: 0.8588, kappa: 0.7102, kb_relative_information_score: 24692.1487, mean_absolute_error: 0.2395, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8591, predictive_accuracy: 0.8593, prior_entropy: 0.9835, recall: 0.8593, relative_absolute_error: 0.4901, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3188, root_relative_squared_error: 0.645, scimark_benchmark: 1290.4304, usercpu_time_millis: 653.774, usercpu_time_millis_testing: 47.097, usercpu_time_millis_training: 606.677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9562, f_measure: 0.8851, kappa: 0.7643, kb_relative_information_score: 27480.5068, mean_absolute_error: 0.2082, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8851, predictive_accuracy: 0.8853, prior_entropy: 0.9835, recall: 0.8853, relative_absolute_error: 0.426, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2943, root_relative_squared_error: 0.5954, scimark_benchmark: 1304.3386, usercpu_time_millis: 1022.133, usercpu_time_millis_testing: 55.826, usercpu_time_millis_training: 966.307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9664, f_measure: 0.9016, kappa: 0.7984, kb_relative_information_score: 29995.027, mean_absolute_error: 0.1792, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9015, predictive_accuracy: 0.9016, prior_entropy: 0.9835, recall: 0.9016, relative_absolute_error: 0.3667, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2732, root_relative_squared_error: 0.5527, scimark_benchmark: 1291.8452, usercpu_time_millis: 584.266, usercpu_time_millis_testing: 16.987, usercpu_time_millis_training: 567.279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8768, f_measure: 0.8364, kappa: 0.6657, kb_relative_information_score: 29413.6273, mean_absolute_error: 0.1711, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8368, predictive_accuracy: 0.8361, prior_entropy: 0.9835, recall: 0.8361, relative_absolute_error: 0.3502, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3694, root_relative_squared_error: 0.7474, scimark_benchmark: 1308.8858, usercpu_time_millis: 12.233, usercpu_time_millis_testing: 0.796, usercpu_time_millis_training: 11.437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9761, f_measure: 0.9195, kappa: 0.8352, kb_relative_information_score: 32859.9661, mean_absolute_error: 0.1459, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9195, predictive_accuracy: 0.9195, prior_entropy: 0.9835, recall: 0.9195, relative_absolute_error: 0.2987, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2473, root_relative_squared_error: 0.5003, scimark_benchmark: 1305.5604, usercpu_time_millis: 648.463, usercpu_time_millis_testing: 12.654, usercpu_time_millis_training: 635.809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9621, f_measure: 0.894, kappa: 0.7828, kb_relative_information_score: 28610.7903, mean_absolute_error: 0.1955, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8941, predictive_accuracy: 0.8942, prior_entropy: 0.9835, recall: 0.8942, relative_absolute_error: 0.4001, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2838, root_relative_squared_error: 0.5741, scimark_benchmark: 1278.9219, usercpu_time_millis: 553.095, usercpu_time_millis_testing: 25.55, usercpu_time_millis_training: 527.545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9552, f_measure: 0.8818, kappa: 0.7576, kb_relative_information_score: 27059.6133, mean_absolute_error: 0.2135, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8819, predictive_accuracy: 0.8821, prior_entropy: 0.9835, recall: 0.8821, relative_absolute_error: 0.437, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2965, root_relative_squared_error: 0.5999, scimark_benchmark: 1285.8308, usercpu_time_millis: 402.464, usercpu_time_millis_testing: 23.382, usercpu_time_millis_training: 379.082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9523, f_measure: 0.8795, kappa: 0.7528, kb_relative_information_score: 27147.4373, mean_absolute_error: 0.2112, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8795, predictive_accuracy: 0.8797, prior_entropy: 0.9835, recall: 0.8797, relative_absolute_error: 0.4322, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2995, root_relative_squared_error: 0.6059, scimark_benchmark: 1304.0995, usercpu_time_millis: 367.541, usercpu_time_millis_testing: 21.161, usercpu_time_millis_training: 346.38,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9597, f_measure: 0.8909, kappa: 0.7764, kb_relative_information_score: 28421.3807, mean_absolute_error: 0.1972, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8909, predictive_accuracy: 0.8911, prior_entropy: 0.9835, recall: 0.8911, relative_absolute_error: 0.4035, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2871, root_relative_squared_error: 0.5809, scimark_benchmark: 1281.5849, usercpu_time_millis: 1236.946, usercpu_time_millis_testing: 57.758, usercpu_time_millis_training: 1179.188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.971, f_measure: 0.9102, kappa: 0.8161, kb_relative_information_score: 31008.7747, mean_absolute_error: 0.1678, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9102, predictive_accuracy: 0.9103, prior_entropy: 0.9835, recall: 0.9103, relative_absolute_error: 0.3433, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2631, root_relative_squared_error: 0.5323, scimark_benchmark: 1303.7519, usercpu_time_millis: 1083.411, usercpu_time_millis_testing: 34.065, usercpu_time_millis_training: 1049.346,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9496, f_measure: 0.8753, kappa: 0.7445, kb_relative_information_score: 26948.0072, mean_absolute_error: 0.213, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8753, predictive_accuracy: 0.8756, prior_entropy: 0.9835, recall: 0.8756, relative_absolute_error: 0.436, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3027, root_relative_squared_error: 0.6125, scimark_benchmark: 1270.405, usercpu_time_millis: 1391.893, usercpu_time_millis_testing: 70.707, usercpu_time_millis_training: 1321.186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9324, f_measure: 0.8517, kappa: 0.6956, kb_relative_information_score: 23782.8144, mean_absolute_error: 0.2493, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8521, predictive_accuracy: 0.8524, prior_entropy: 0.9835, recall: 0.8524, relative_absolute_error: 0.5103, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3276, root_relative_squared_error: 0.6628, scimark_benchmark: 1213.5846, usercpu_time_millis: 346.344, usercpu_time_millis_testing: 27.977, usercpu_time_millis_training: 318.367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9415, f_measure: 0.8612, kappa: 0.7151, kb_relative_information_score: 24950.6778, mean_absolute_error: 0.2366, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8614, predictive_accuracy: 0.8616, prior_entropy: 0.9835, recall: 0.8616, relative_absolute_error: 0.4843, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3165, root_relative_squared_error: 0.6404, scimark_benchmark: 1259.7289, usercpu_time_millis: 721.204, usercpu_time_millis_testing: 49.288, usercpu_time_millis_training: 671.916,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.948, f_measure: 0.8705, kappa: 0.7343, kb_relative_information_score: 25905.9548, mean_absolute_error: 0.2262, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8707, predictive_accuracy: 0.8709, prior_entropy: 0.9835, recall: 0.8709, relative_absolute_error: 0.4629, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3076, root_relative_squared_error: 0.6222, scimark_benchmark: 1257.1376, usercpu_time_millis: 302.661, usercpu_time_millis_testing: 19.431, usercpu_time_millis_training: 283.23,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9526, f_measure: 0.8802, kappa: 0.7544, kb_relative_information_score: 27831.7935, mean_absolute_error: 0.2025, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8802, predictive_accuracy: 0.8804, prior_entropy: 0.9835, recall: 0.8804, relative_absolute_error: 0.4145, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2969, root_relative_squared_error: 0.6006, scimark_benchmark: 1243.491, usercpu_time_millis: 53.879, usercpu_time_millis_testing: 2.975, usercpu_time_millis_training: 50.904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9268, f_measure: 0.8474, kappa: 0.6865, kb_relative_information_score: 21539.5424, mean_absolute_error: 0.2768, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.848, predictive_accuracy: 0.8482, prior_entropy: 0.9835, recall: 0.8482, relative_absolute_error: 0.5665, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3398, root_relative_squared_error: 0.6876, scimark_benchmark: 1218.6434, usercpu_time_millis: 62.797, usercpu_time_millis_testing: 4.266, usercpu_time_millis_training: 58.531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9408, f_measure: 0.8618, kappa: 0.7165, kb_relative_information_score: 25559.6895, mean_absolute_error: 0.2284, 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: 0.4675, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3153, root_relative_squared_error: 0.6379, scimark_benchmark: 1306.8146, usercpu_time_millis: 1524.149, usercpu_time_millis_testing: 99.004, usercpu_time_millis_training: 1425.145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9131, f_measure: 0.8339, kappa: 0.6586, kb_relative_information_score: 20242.1627, mean_absolute_error: 0.2901, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8353, predictive_accuracy: 0.8352, prior_entropy: 0.9835, recall: 0.8352, relative_absolute_error: 0.5938, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3524, root_relative_squared_error: 0.713, scimark_benchmark: 1305.8325, usercpu_time_millis: 39.274, usercpu_time_millis_testing: 2.441, usercpu_time_millis_training: 36.833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9495, f_measure: 0.8759, kappa: 0.7456, kb_relative_information_score: 26807.2402, mean_absolute_error: 0.2148, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8759, predictive_accuracy: 0.8762, prior_entropy: 0.9835, recall: 0.8762, relative_absolute_error: 0.4396, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3033, root_relative_squared_error: 0.6136, scimark_benchmark: 1308.4212, usercpu_time_millis: 726.248, usercpu_time_millis_testing: 41.153, usercpu_time_millis_training: 685.095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9708, f_measure: 0.9087, kappa: 0.8128, kb_relative_information_score: 30531.0158, mean_absolute_error: 0.1739, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9087, predictive_accuracy: 0.9088, prior_entropy: 0.9835, recall: 0.9088, relative_absolute_error: 0.356, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2651, root_relative_squared_error: 0.5364, scimark_benchmark: 1291.4481, usercpu_time_millis: 695.47, usercpu_time_millis_testing: 27.779, usercpu_time_millis_training: 667.691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9376, f_measure: 0.8575, kappa: 0.7075, kb_relative_information_score: 24956.425, mean_absolute_error: 0.2353, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8577, predictive_accuracy: 0.858, prior_entropy: 0.9835, recall: 0.858, relative_absolute_error: 0.4816, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3199, root_relative_squared_error: 0.6472, scimark_benchmark: 1303.4805, usercpu_time_millis: 134.601, usercpu_time_millis_testing: 8.418, usercpu_time_millis_training: 126.183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9508, f_measure: 0.8791, kappa: 0.7521, kb_relative_information_score: 27352.8825, mean_absolute_error: 0.2083, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.879, predictive_accuracy: 0.8792, prior_entropy: 0.9835, recall: 0.8792, relative_absolute_error: 0.4263, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3001, root_relative_squared_error: 0.6071, scimark_benchmark: 1287.1652, usercpu_time_millis: 177.474, usercpu_time_millis_testing: 9.083, usercpu_time_millis_training: 168.391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9643, f_measure: 0.8988, kappa: 0.7928, kb_relative_information_score: 30022.2465, mean_absolute_error: 0.1781, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8988, predictive_accuracy: 0.8989, prior_entropy: 0.9835, recall: 0.8989, relative_absolute_error: 0.3644, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2758, root_relative_squared_error: 0.558, scimark_benchmark: 1289.6098, usercpu_time_millis: 126.867, usercpu_time_millis_testing: 5.497, usercpu_time_millis_training: 121.37,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9533, f_measure: 0.8794, kappa: 0.7527, kb_relative_information_score: 27118.0658, mean_absolute_error: 0.2119, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8796, predictive_accuracy: 0.8798, prior_entropy: 0.9835, recall: 0.8798, relative_absolute_error: 0.4336, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2986, root_relative_squared_error: 0.604, scimark_benchmark: 1308.5275, usercpu_time_millis: 219.282, usercpu_time_millis_testing: 13.904, usercpu_time_millis_training: 205.378,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9652, f_measure: 0.8995, kappa: 0.7941, kb_relative_information_score: 29673.268, mean_absolute_error: 0.1829, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8995, predictive_accuracy: 0.8996, prior_entropy: 0.9835, recall: 0.8996, relative_absolute_error: 0.3743, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.276, root_relative_squared_error: 0.5583, scimark_benchmark: 1306.5303, usercpu_time_millis: 1799.552, usercpu_time_millis_testing: 59.254, usercpu_time_millis_training: 1740.298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9545, f_measure: 0.8824, kappa: 0.7588, kb_relative_information_score: 27258.6923, mean_absolute_error: 0.2105, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8825, predictive_accuracy: 0.8827, prior_entropy: 0.9835, recall: 0.8827, relative_absolute_error: 0.4308, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2968, root_relative_squared_error: 0.6005, scimark_benchmark: 1292.7495, usercpu_time_millis: 392.984, usercpu_time_millis_testing: 24.232, usercpu_time_millis_training: 368.752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9608, f_measure: 0.893, kappa: 0.7809, kb_relative_information_score: 29024.7779, mean_absolute_error: 0.1898, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.893, predictive_accuracy: 0.8932, prior_entropy: 0.9835, recall: 0.8932, relative_absolute_error: 0.3885, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2836, root_relative_squared_error: 0.5737, scimark_benchmark: 1294.6787, usercpu_time_millis: 474.241, usercpu_time_millis_testing: 15.314, usercpu_time_millis_training: 458.927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.979, f_measure: 0.9255, kappa: 0.8475, kb_relative_information_score: 33506.6768, mean_absolute_error: 0.1389, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9255, predictive_accuracy: 0.9256, prior_entropy: 0.9835, recall: 0.9256, relative_absolute_error: 0.2842, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2394, root_relative_squared_error: 0.4844, scimark_benchmark: 1294.6297, usercpu_time_millis: 793.79, usercpu_time_millis_testing: 19.281, usercpu_time_millis_training: 774.509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9668, f_measure: 0.9025, kappa: 0.8003, kb_relative_information_score: 30169.9554, mean_absolute_error: 0.1771, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9025, predictive_accuracy: 0.9026, prior_entropy: 0.9835, recall: 0.9026, relative_absolute_error: 0.3624, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.272, root_relative_squared_error: 0.5503, scimark_benchmark: 1301.0156, usercpu_time_millis: 1122.687, usercpu_time_millis_testing: 37.722, usercpu_time_millis_training: 1084.965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9685, f_measure: 0.9057, kappa: 0.8067, kb_relative_information_score: 29984.6286, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9057, predictive_accuracy: 0.9058, prior_entropy: 0.9835, recall: 0.9058, relative_absolute_error: 0.3684, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2706, root_relative_squared_error: 0.5475, scimark_benchmark: 1273.2723, usercpu_time_millis: 943.118, usercpu_time_millis_testing: 37.346, usercpu_time_millis_training: 905.772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9707, f_measure: 0.9088, kappa: 0.8131, kb_relative_information_score: 30936.9518, mean_absolute_error: 0.1686, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9087, predictive_accuracy: 0.9088, prior_entropy: 0.9835, recall: 0.9088, relative_absolute_error: 0.345, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2637, root_relative_squared_error: 0.5335, scimark_benchmark: 1289.4756, usercpu_time_millis: 1507.898, usercpu_time_millis_testing: 48.056, usercpu_time_millis_training: 1459.842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9583, f_measure: 0.8892, kappa: 0.7729, kb_relative_information_score: 28591.7435, mean_absolute_error: 0.1945, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8891, predictive_accuracy: 0.8893, prior_entropy: 0.9835, recall: 0.8893, relative_absolute_error: 0.3981, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2881, root_relative_squared_error: 0.5828, scimark_benchmark: 1286.0042, usercpu_time_millis: 605.664, usercpu_time_millis_testing: 23.586, usercpu_time_millis_training: 582.078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9675, f_measure: 0.9039, kappa: 0.8031, kb_relative_information_score: 30067.884, mean_absolute_error: 0.1786, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9039, predictive_accuracy: 0.904, prior_entropy: 0.9835, recall: 0.904, relative_absolute_error: 0.3655, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2715, root_relative_squared_error: 0.5492, scimark_benchmark: 1291.7741, usercpu_time_millis: 160.975, usercpu_time_millis_testing: 5.631, usercpu_time_millis_training: 155.344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9723, f_measure: 0.9115, kappa: 0.8186, kb_relative_information_score: 30933.6651, mean_absolute_error: 0.1692, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9115, predictive_accuracy: 0.9116, prior_entropy: 0.9835, recall: 0.9116, relative_absolute_error: 0.3463, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2615, root_relative_squared_error: 0.5291, scimark_benchmark: 1281.3094, usercpu_time_millis: 786.675, usercpu_time_millis_testing: 25.532, usercpu_time_millis_training: 761.143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9685, f_measure: 0.9057, kappa: 0.8069, kb_relative_information_score: 30499.4724, mean_absolute_error: 0.1734, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9057, predictive_accuracy: 0.9058, prior_entropy: 0.9835, recall: 0.9058, relative_absolute_error: 0.3549, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2685, root_relative_squared_error: 0.5432, scimark_benchmark: 1302.0547, usercpu_time_millis: 220.129, usercpu_time_millis_testing: 8.812, usercpu_time_millis_training: 211.317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9692, f_measure: 0.9059, kappa: 0.8072, kb_relative_information_score: 30699.3815, mean_absolute_error: 0.1711, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9058, predictive_accuracy: 0.9059, prior_entropy: 0.9835, recall: 0.9059, relative_absolute_error: 0.3501, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2668, root_relative_squared_error: 0.5397, scimark_benchmark: 1299.3505, usercpu_time_millis: 1296.353, usercpu_time_millis_testing: 41.386, usercpu_time_millis_training: 1254.967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9447, f_measure: 0.8656, kappa: 0.7243, kb_relative_information_score: 25466.7395, mean_absolute_error: 0.2309, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8658, predictive_accuracy: 0.8661, prior_entropy: 0.9835, recall: 0.8661, relative_absolute_error: 0.4726, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.312, root_relative_squared_error: 0.6312, scimark_benchmark: 1285.9824, usercpu_time_millis: 131.285, usercpu_time_millis_testing: 8.455, usercpu_time_millis_training: 122.83,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9519, f_measure: 0.8779, kappa: 0.7496, kb_relative_information_score: 26775.735, mean_absolute_error: 0.2159, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8781, predictive_accuracy: 0.8783, prior_entropy: 0.9835, recall: 0.8783, relative_absolute_error: 0.4418, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3012, root_relative_squared_error: 0.6094, scimark_benchmark: 1305.1289, usercpu_time_millis: 926.967, usercpu_time_millis_testing: 56.713, usercpu_time_millis_training: 870.254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.97, f_measure: 0.9077, kappa: 0.811, kb_relative_information_score: 30907.6766, mean_absolute_error: 0.1687, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9077, predictive_accuracy: 0.9078, prior_entropy: 0.9835, recall: 0.9078, relative_absolute_error: 0.3452, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2648, root_relative_squared_error: 0.5358, scimark_benchmark: 1301.6702, usercpu_time_millis: 983.7, usercpu_time_millis_testing: 27.799, usercpu_time_millis_training: 955.901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.954, f_measure: 0.8828, kappa: 0.7599, kb_relative_information_score: 27582.8536, mean_absolute_error: 0.2062, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8828, predictive_accuracy: 0.883, prior_entropy: 0.9835, recall: 0.883, relative_absolute_error: 0.422, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2962, root_relative_squared_error: 0.5992, scimark_benchmark: 1289.9016, usercpu_time_millis: 1411.937, usercpu_time_millis_testing: 66.038, usercpu_time_millis_training: 1345.899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9504, f_measure: 0.8774, kappa: 0.7487, kb_relative_information_score: 27165.0243, mean_absolute_error: 0.2106, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8773, predictive_accuracy: 0.8776, prior_entropy: 0.9835, recall: 0.8776, relative_absolute_error: 0.4309, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3011, root_relative_squared_error: 0.6092, scimark_benchmark: 1297.588, usercpu_time_millis: 1658.388, usercpu_time_millis_testing: 81.552, usercpu_time_millis_training: 1576.836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.944, f_measure: 0.8671, kappa: 0.7273, kb_relative_information_score: 23393.6779, mean_absolute_error: 0.2575, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8673, predictive_accuracy: 0.8675, prior_entropy: 0.9835, recall: 0.8675, relative_absolute_error: 0.5271, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3213, root_relative_squared_error: 0.65, scimark_benchmark: 1308.5249, usercpu_time_millis: 523.599, usercpu_time_millis_testing: 32.259, usercpu_time_millis_training: 491.34,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9552, f_measure: 0.8841, kappa: 0.7624, kb_relative_information_score: 27516.2778, mean_absolute_error: 0.2073, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8842, predictive_accuracy: 0.8844, prior_entropy: 0.9835, recall: 0.8844, relative_absolute_error: 0.4243, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2953, root_relative_squared_error: 0.5974, scimark_benchmark: 1296.16, usercpu_time_millis: 1328.252, usercpu_time_millis_testing: 75.44, usercpu_time_millis_training: 1252.812,

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