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: 0.8705, f_measure: 0.7964, kappa: 0.5811, kb_relative_information_score: 19653.5997, mean_absolute_error: 0.2911, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7981, predictive_accuracy: 0.7983, prior_entropy: 0.9835, recall: 0.7983, relative_absolute_error: 0.5958, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3777, root_relative_squared_error: 0.7642, scimark_benchmark: 1831.0103, usercpu_time_millis: 5805.726, usercpu_time_millis_testing: 23.608, usercpu_time_millis_training: 5782.118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8237, f_measure: 0.757, kappa: 0.4998, kb_relative_information_score: 16050.3983, mean_absolute_error: 0.3292, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7622, predictive_accuracy: 0.7615, prior_entropy: 0.9835, recall: 0.7615, relative_absolute_error: 0.6738, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4063, root_relative_squared_error: 0.8221, scimark_benchmark: 1834.1773, usercpu_time_millis: 5825.72, usercpu_time_millis_testing: 23.724, usercpu_time_millis_training: 5801.996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8242, f_measure: 0.7571, kappa: 0.4999, kb_relative_information_score: 15951.85, mean_absolute_error: 0.3305, 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: 0.6763, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4062, root_relative_squared_error: 0.8218, scimark_benchmark: 1846.6356, usercpu_time_millis: 6119.236, usercpu_time_millis_testing: 22.698, usercpu_time_millis_training: 6096.538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8244, f_measure: 0.7578, kappa: 0.5015, kb_relative_information_score: 16149.9317, mean_absolute_error: 0.3281, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.763, predictive_accuracy: 0.7622, prior_entropy: 0.9835, recall: 0.7622, relative_absolute_error: 0.6715, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4059, root_relative_squared_error: 0.8212, scimark_benchmark: 1848.8462, usercpu_time_millis: 6010.568, usercpu_time_millis_testing: 28.976, usercpu_time_millis_training: 5981.592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8719, f_measure: 0.7971, kappa: 0.5826, kb_relative_information_score: 19199.9499, mean_absolute_error: 0.2968, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7997, predictive_accuracy: 0.7995, prior_entropy: 0.9835, recall: 0.7995, relative_absolute_error: 0.6074, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3775, root_relative_squared_error: 0.7637, scimark_benchmark: 1845.779, usercpu_time_millis: 5894.308, usercpu_time_millis_testing: 21.056, usercpu_time_millis_training: 5873.252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8538, f_measure: 0.7846, kappa: 0.557, kb_relative_information_score: 17941.576, mean_absolute_error: 0.309, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7864, predictive_accuracy: 0.7868, prior_entropy: 0.9835, recall: 0.7868, relative_absolute_error: 0.6323, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3904, root_relative_squared_error: 0.7898, scimark_benchmark: 1839.7359, usercpu_time_millis: 5970.621, usercpu_time_millis_testing: 26.984, usercpu_time_millis_training: 5943.637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8242, f_measure: 0.757, kappa: 0.4997, kb_relative_information_score: 15913.9063, mean_absolute_error: 0.3309, 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: 0.6773, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4062, root_relative_squared_error: 0.8218, scimark_benchmark: 1897.5508, usercpu_time_millis: 6226.282, usercpu_time_millis_testing: 21.25, usercpu_time_millis_training: 6205.032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7621, f_measure: 0.7076, kappa: 0.3981, kb_relative_information_score: 10902.8839, mean_absolute_error: 0.3823, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7121, predictive_accuracy: 0.7135, prior_entropy: 0.9835, recall: 0.7135, relative_absolute_error: 0.7825, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4384, root_relative_squared_error: 0.887, scimark_benchmark: 1851.8567, usercpu_time_millis: 6310.183, usercpu_time_millis_testing: 40.955, usercpu_time_millis_training: 6269.228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8239, f_measure: 0.7183, kappa: 0.4248, kb_relative_information_score: 12146.8219, mean_absolute_error: 0.3716, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7459, predictive_accuracy: 0.7326, prior_entropy: 0.9835, recall: 0.7326, relative_absolute_error: 0.7606, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4237, root_relative_squared_error: 0.8571, scimark_benchmark: 1833.994, usercpu_time_millis: 6355.495, usercpu_time_millis_testing: 39.391, usercpu_time_millis_training: 6316.104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8589, f_measure: 0.7868, kappa: 0.5614, kb_relative_information_score: 19297.3933, mean_absolute_error: 0.2954, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7889, predictive_accuracy: 0.7891, prior_entropy: 0.9835, recall: 0.7891, relative_absolute_error: 0.6046, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3856, root_relative_squared_error: 0.7802, scimark_benchmark: 1717.7465, usercpu_time_millis: 6393.251, usercpu_time_millis_testing: 27.614, usercpu_time_millis_training: 6365.637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8265, f_measure: 0.7585, kappa: 0.5029, kb_relative_information_score: 16316.2018, mean_absolute_error: 0.3263, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7636, predictive_accuracy: 0.7628, prior_entropy: 0.9835, recall: 0.7628, relative_absolute_error: 0.6678, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4049, root_relative_squared_error: 0.8191, scimark_benchmark: 1732.8983, usercpu_time_millis: 6291.373, usercpu_time_millis_testing: 31.064, usercpu_time_millis_training: 6260.309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7768, f_measure: 0.5814, kappa: 0.1967, kb_relative_information_score: 5241.7064, mean_absolute_error: 0.4388, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.6974, predictive_accuracy: 0.6448, prior_entropy: 0.9835, recall: 0.6448, relative_absolute_error: 0.898, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4634, root_relative_squared_error: 0.9375, scimark_benchmark: 1899.2345, usercpu_time_millis: 6451.369, usercpu_time_millis_testing: 41.779, usercpu_time_millis_training: 6409.59,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8719, f_measure: 0.8136, kappa: 0.6198, kb_relative_information_score: 19627.9899, mean_absolute_error: 0.2932, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8147, predictive_accuracy: 0.8131, prior_entropy: 0.9835, recall: 0.8131, relative_absolute_error: 0.6, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.38, root_relative_squared_error: 0.7688, scimark_benchmark: 1840.1276, usercpu_time_millis: 6289.979, usercpu_time_millis_testing: 39.631, usercpu_time_millis_training: 6250.348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8533, f_measure: 0.7797, kappa: 0.5467, kb_relative_information_score: 18275.3009, mean_absolute_error: 0.3052, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7823, predictive_accuracy: 0.7824, prior_entropy: 0.9835, recall: 0.7824, relative_absolute_error: 0.6246, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3899, root_relative_squared_error: 0.7888, scimark_benchmark: 1781.8469, usercpu_time_millis: 6387.79, usercpu_time_millis_testing: 25.522, usercpu_time_millis_training: 6362.268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8025, f_measure: 0.6566, kappa: 0.316, kb_relative_information_score: 8366.9289, mean_absolute_error: 0.4082, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7245, predictive_accuracy: 0.6903, prior_entropy: 0.9835, recall: 0.6903, relative_absolute_error: 0.8354, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.444, root_relative_squared_error: 0.8982, scimark_benchmark: 1836.6622, usercpu_time_millis: 6359.649, usercpu_time_millis_testing: 40.845, usercpu_time_millis_training: 6318.804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7761, f_measure: 0.7198, kappa: 0.4233, kb_relative_information_score: 11755.8939, mean_absolute_error: 0.374, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7249, predictive_accuracy: 0.7255, prior_entropy: 0.9835, recall: 0.7255, relative_absolute_error: 0.7655, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4324, root_relative_squared_error: 0.8749, scimark_benchmark: 1841.2148, usercpu_time_millis: 6332.583, usercpu_time_millis_testing: 39.437, usercpu_time_millis_training: 6293.146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8456, f_measure: 0.7702, kappa: 0.5271, kb_relative_information_score: 16774.1655, mean_absolute_error: 0.3219, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.779, predictive_accuracy: 0.7755, prior_entropy: 0.9835, recall: 0.7755, relative_absolute_error: 0.6589, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3964, root_relative_squared_error: 0.8019, scimark_benchmark: 1752.3647, usercpu_time_millis: 6749.003, usercpu_time_millis_testing: 24.126, usercpu_time_millis_training: 6724.877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.826, f_measure: 0.6915, kappa: 0.3766, kb_relative_information_score: 10198.9441, mean_absolute_error: 0.3903, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7375, predictive_accuracy: 0.714, prior_entropy: 0.9835, recall: 0.714, relative_absolute_error: 0.7989, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4325, root_relative_squared_error: 0.875, scimark_benchmark: 1850.2875, usercpu_time_millis: 6548.189, usercpu_time_millis_testing: 42.513, usercpu_time_millis_training: 6505.676,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8132, f_measure: 0.6626, kappa: 0.326, kb_relative_information_score: 8584.1854, mean_absolute_error: 0.4063, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7266, predictive_accuracy: 0.6942, prior_entropy: 0.9835, recall: 0.6942, relative_absolute_error: 0.8316, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4426, root_relative_squared_error: 0.8955, scimark_benchmark: 1848.8462, usercpu_time_millis: 6520.468, usercpu_time_millis_testing: 41.398, usercpu_time_millis_training: 6479.07,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8418, f_measure: 0.7332, kappa: 0.4547, kb_relative_information_score: 13299.7582, mean_absolute_error: 0.3589, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7597, predictive_accuracy: 0.746, prior_entropy: 0.9835, recall: 0.746, relative_absolute_error: 0.7346, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4128, root_relative_squared_error: 0.8351, scimark_benchmark: 1794.9456, usercpu_time_millis: 6532.363, usercpu_time_millis_testing: 36.774, usercpu_time_millis_training: 6495.589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9196, f_measure: 0.8458, kappa: 0.6836, kb_relative_information_score: 25880.9043, mean_absolute_error: 0.2224, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8461, predictive_accuracy: 0.8464, prior_entropy: 0.9835, recall: 0.8464, relative_absolute_error: 0.4552, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.333, root_relative_squared_error: 0.6737, scimark_benchmark: 1849.513, usercpu_time_millis: 6777.824, usercpu_time_millis_testing: 17.271, usercpu_time_millis_training: 6760.553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8515, f_measure: 0.7856, kappa: 0.5596, kb_relative_information_score: 18050.1387, mean_absolute_error: 0.309, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7857, predictive_accuracy: 0.7866, prior_entropy: 0.9835, recall: 0.7866, relative_absolute_error: 0.6323, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3938, root_relative_squared_error: 0.7966, scimark_benchmark: 1847.2233, usercpu_time_millis: 6724.301, usercpu_time_millis_testing: 39.222, usercpu_time_millis_training: 6685.079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8635, f_measure: 0.8028, kappa: 0.5971, kb_relative_information_score: 19012.511, mean_absolute_error: 0.2993, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8033, predictive_accuracy: 0.8025, prior_entropy: 0.9835, recall: 0.8025, relative_absolute_error: 0.6125, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3866, root_relative_squared_error: 0.7822, scimark_benchmark: 1841.5689, usercpu_time_millis: 6797.826, usercpu_time_millis_testing: 41.085, usercpu_time_millis_training: 6756.741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8581, f_measure: 0.7833, kappa: 0.554, kb_relative_information_score: 18719.0821, mean_absolute_error: 0.3006, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7859, predictive_accuracy: 0.7859, prior_entropy: 0.9835, recall: 0.7859, relative_absolute_error: 0.6152, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3868, root_relative_squared_error: 0.7826, scimark_benchmark: 1844.149, usercpu_time_millis: 6741.98, usercpu_time_millis_testing: 24.635, usercpu_time_millis_training: 6717.345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.829, f_measure: 0.7016, kappa: 0.395, kb_relative_information_score: 11012.3505, mean_absolute_error: 0.3822, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7423, predictive_accuracy: 0.7214, prior_entropy: 0.9835, recall: 0.7214, relative_absolute_error: 0.7822, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4274, root_relative_squared_error: 0.8646, scimark_benchmark: 1837.6536, usercpu_time_millis: 6695.311, usercpu_time_millis_testing: 41.246, usercpu_time_millis_training: 6654.065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8212, f_measure: 0.7568, kappa: 0.4995, kb_relative_information_score: 16039.8912, mean_absolute_error: 0.3289, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.761, predictive_accuracy: 0.7608, prior_entropy: 0.9835, recall: 0.7608, relative_absolute_error: 0.6731, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4077, root_relative_squared_error: 0.8248, scimark_benchmark: 1840.7014, usercpu_time_millis: 6811.734, usercpu_time_millis_testing: 37.132, usercpu_time_millis_training: 6774.602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8242, f_measure: 0.757, kappa: 0.4998, kb_relative_information_score: 15895.6613, mean_absolute_error: 0.3312, 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: 0.6778, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4062, root_relative_squared_error: 0.8218, scimark_benchmark: 1726.9824, usercpu_time_millis: 7039.642, usercpu_time_millis_testing: 25.05, usercpu_time_millis_training: 7014.592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8242, f_measure: 0.7569, kappa: 0.4997, kb_relative_information_score: 15900.5688, 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: 0.6776, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4062, root_relative_squared_error: 0.8218, scimark_benchmark: 1853.9121, usercpu_time_millis: 7139.967, usercpu_time_millis_testing: 22.933, usercpu_time_millis_training: 7117.034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8242, f_measure: 0.7571, kappa: 0.5001, kb_relative_information_score: 15922.1013, mean_absolute_error: 0.3308, 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: 0.6771, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4062, root_relative_squared_error: 0.8218, scimark_benchmark: 1805.9454, usercpu_time_millis: 7110.861, usercpu_time_millis_testing: 21.077, usercpu_time_millis_training: 7089.784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7947, f_measure: 0.6741, kappa: 0.3445, kb_relative_information_score: 9220.4457, mean_absolute_error: 0.4011, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7262, predictive_accuracy: 0.7007, prior_entropy: 0.9835, recall: 0.7007, relative_absolute_error: 0.8208, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4407, root_relative_squared_error: 0.8915, scimark_benchmark: 1737.8652, usercpu_time_millis: 7051.636, usercpu_time_millis_testing: 44.793, usercpu_time_millis_training: 7006.843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8242, f_measure: 0.7571, kappa: 0.5, kb_relative_information_score: 15895.4382, 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: 1840.1276, usercpu_time_millis: 7367.35, usercpu_time_millis_testing: 20.965, usercpu_time_millis_training: 7346.385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8221, f_measure: 0.6836, kappa: 0.3624, kb_relative_information_score: 9844.5798, mean_absolute_error: 0.3938, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7338, predictive_accuracy: 0.7083, prior_entropy: 0.9835, recall: 0.7083, relative_absolute_error: 0.806, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4348, root_relative_squared_error: 0.8797, scimark_benchmark: 1725.293, usercpu_time_millis: 7253.422, usercpu_time_millis_testing: 45.094, usercpu_time_millis_training: 7208.328,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8832, f_measure: 0.8269, kappa: 0.6493, kb_relative_information_score: 18064.3183, mean_absolute_error: 0.3085, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8317, predictive_accuracy: 0.8261, prior_entropy: 0.9835, recall: 0.8261, relative_absolute_error: 0.6314, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3837, root_relative_squared_error: 0.7762, scimark_benchmark: 1852.859, usercpu_time_millis: 12743.864, usercpu_time_millis_testing: 56.841, usercpu_time_millis_training: 12687.023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8207, f_measure: 0.7565, kappa: 0.4989, kb_relative_information_score: 15984.6669, mean_absolute_error: 0.3294, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7607, predictive_accuracy: 0.7605, prior_entropy: 0.9835, recall: 0.7605, relative_absolute_error: 0.6742, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.408, root_relative_squared_error: 0.8254, scimark_benchmark: 1724.8307, usercpu_time_millis: 12955.329, usercpu_time_millis_testing: 53.855, usercpu_time_millis_training: 12901.474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8874, f_measure: 0.8333, kappa: 0.6608, kb_relative_information_score: 20333.1067, mean_absolute_error: 0.2863, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8356, predictive_accuracy: 0.8327, prior_entropy: 0.9835, recall: 0.8327, relative_absolute_error: 0.586, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3693, root_relative_squared_error: 0.7472, scimark_benchmark: 1121.7557, usercpu_time_millis: 13052.701, usercpu_time_millis_testing: 60.672, usercpu_time_millis_training: 12992.029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.819, f_measure: 0.6751, kappa: 0.3502, kb_relative_information_score: 10278.2561, mean_absolute_error: 0.3878, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7403, predictive_accuracy: 0.7049, prior_entropy: 0.9835, recall: 0.7049, relative_absolute_error: 0.7936, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4302, root_relative_squared_error: 0.8703, scimark_benchmark: 1809.6891, usercpu_time_millis: 12883.424, usercpu_time_millis_testing: 21.396, usercpu_time_millis_training: 12862.028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6844, f_measure: 0.4434, kappa: 0.0192, kb_relative_information_score: 1179.4306, mean_absolute_error: 0.4771, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.6089, predictive_accuracy: 0.5809, prior_entropy: 0.9835, recall: 0.5809, relative_absolute_error: 0.9764, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4884, root_relative_squared_error: 0.9882, scimark_benchmark: 1824.5061, usercpu_time_millis: 13345.728, usercpu_time_millis_testing: 79.641, usercpu_time_millis_training: 13266.087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8242, f_measure: 0.757, kappa: 0.4999, kb_relative_information_score: 15904.6307, mean_absolute_error: 0.3311, 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: 0.6775, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4062, root_relative_squared_error: 0.8218, scimark_benchmark: 1849.7595, usercpu_time_millis: 13262.076, usercpu_time_millis_testing: 21.089, usercpu_time_millis_training: 13240.987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8427, f_measure: 0.697, kappa: 0.3894, kb_relative_information_score: 10952.193, mean_absolute_error: 0.3795, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7505, predictive_accuracy: 0.7207, prior_entropy: 0.9835, recall: 0.7207, relative_absolute_error: 0.7766, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4312, root_relative_squared_error: 0.8723, scimark_benchmark: 1851.3287, usercpu_time_millis: 13499.063, usercpu_time_millis_testing: 81.332, usercpu_time_millis_training: 13417.731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9122, f_measure: 0.8354, kappa: 0.662, kb_relative_information_score: 24746.3353, mean_absolute_error: 0.2346, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8358, predictive_accuracy: 0.8362, prior_entropy: 0.9835, recall: 0.8362, relative_absolute_error: 0.4801, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3418, root_relative_squared_error: 0.6914, scimark_benchmark: 1733.3606, usercpu_time_millis: 13604.318, usercpu_time_millis_testing: 19.661, usercpu_time_millis_training: 13584.657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8585, f_measure: 0.7292, kappa: 0.449, kb_relative_information_score: 13173.4794, mean_absolute_error: 0.3573, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7663, predictive_accuracy: 0.7451, prior_entropy: 0.9835, recall: 0.7451, relative_absolute_error: 0.7312, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4173, root_relative_squared_error: 0.8442, scimark_benchmark: 1848.7304, usercpu_time_millis: 13763.761, usercpu_time_millis_testing: 86.729, usercpu_time_millis_training: 13677.032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8551, f_measure: 0.7801, kappa: 0.5473, kb_relative_information_score: 18050.7521, mean_absolute_error: 0.3083, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.785, predictive_accuracy: 0.7837, prior_entropy: 0.9835, recall: 0.7837, relative_absolute_error: 0.6309, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3892, root_relative_squared_error: 0.7873, scimark_benchmark: 1722.5946, usercpu_time_millis: 13841.239, usercpu_time_millis_testing: 24.883, usercpu_time_millis_training: 13816.356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7381, f_measure: 0.5437, kappa: 0.1459, kb_relative_information_score: 3362.5034, mean_absolute_error: 0.4559, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.6953, predictive_accuracy: 0.6268, prior_entropy: 0.9835, recall: 0.6268, relative_absolute_error: 0.9331, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4749, root_relative_squared_error: 0.9608, scimark_benchmark: 1846.6923, usercpu_time_millis: 14214.035, usercpu_time_millis_testing: 78.185, usercpu_time_millis_training: 14135.85,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8242, f_measure: 0.757, kappa: 0.4997, kb_relative_information_score: 15900.4019, 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: 0.6776, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4062, root_relative_squared_error: 0.8218, scimark_benchmark: 1730.8446, usercpu_time_millis: 15128.58, usercpu_time_millis_testing: 23.979, usercpu_time_millis_training: 15104.601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8783, f_measure: 0.8002, kappa: 0.5889, kb_relative_information_score: 20007.9002, mean_absolute_error: 0.2876, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8021, predictive_accuracy: 0.8022, prior_entropy: 0.9835, recall: 0.8022, relative_absolute_error: 0.5885, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3729, root_relative_squared_error: 0.7545, scimark_benchmark: 1843.2914, usercpu_time_millis: 15142.351, usercpu_time_millis_testing: 18.97, usercpu_time_millis_training: 15123.381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8552, f_measure: 0.78, kappa: 0.5472, kb_relative_information_score: 18032.7255, mean_absolute_error: 0.3085, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.785, predictive_accuracy: 0.7837, prior_entropy: 0.9835, recall: 0.7837, relative_absolute_error: 0.6313, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3892, root_relative_squared_error: 0.7873, scimark_benchmark: 1855.5541, usercpu_time_millis: 16205.981, usercpu_time_millis_testing: 22.456, usercpu_time_millis_training: 16183.525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7833, f_measure: 0.6079, kappa: 0.239, kb_relative_information_score: 6185.9801, mean_absolute_error: 0.4275, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7138, predictive_accuracy: 0.6614, prior_entropy: 0.9835, recall: 0.6614, relative_absolute_error: 0.8749, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4589, root_relative_squared_error: 0.9284, scimark_benchmark: 1832.6775, usercpu_time_millis: 16375.128, usercpu_time_millis_testing: 77.391, usercpu_time_millis_training: 16297.737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8751, f_measure: 0.7992, kappa: 0.5867, kb_relative_information_score: 16150.4642, mean_absolute_error: 0.3276, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8054, predictive_accuracy: 0.8028, prior_entropy: 0.9835, recall: 0.8028, relative_absolute_error: 0.6705, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3967, root_relative_squared_error: 0.8026, scimark_benchmark: 1839.6613, usercpu_time_millis: 16591.62, usercpu_time_millis_testing: 75.531, usercpu_time_millis_training: 16516.089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8902, f_measure: 0.825, kappa: 0.6403, kb_relative_information_score: 22304.8807, mean_absolute_error: 0.2632, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8262, predictive_accuracy: 0.8263, prior_entropy: 0.9835, recall: 0.8263, relative_absolute_error: 0.5387, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3583, root_relative_squared_error: 0.725, scimark_benchmark: 1828.9355, usercpu_time_millis: 17184.098, usercpu_time_millis_testing: 34.197, usercpu_time_millis_training: 17149.901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.848, f_measure: 0.7115, kappa: 0.416, kb_relative_information_score: 11881.4519, mean_absolute_error: 0.3702, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7576, predictive_accuracy: 0.7316, prior_entropy: 0.9835, recall: 0.7316, relative_absolute_error: 0.7576, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4254, root_relative_squared_error: 0.8607, scimark_benchmark: 1846.1643, usercpu_time_millis: 17136.982, usercpu_time_millis_testing: 84.397, usercpu_time_millis_training: 17052.585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8213, f_measure: 0.7537, kappa: 0.4931, kb_relative_information_score: 14515.3955, mean_absolute_error: 0.3472, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7605, predictive_accuracy: 0.7589, prior_entropy: 0.9835, recall: 0.7589, relative_absolute_error: 0.7106, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4086, root_relative_squared_error: 0.8266, scimark_benchmark: 1834.7119, usercpu_time_millis: 26.515, usercpu_time_millis_testing: 0.021, usercpu_time_millis_training: 26.494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8174, f_measure: 0.7534, kappa: 0.4925, kb_relative_information_score: 14058.6403, mean_absolute_error: 0.3523, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.76, predictive_accuracy: 0.7586, prior_entropy: 0.9835, recall: 0.7586, relative_absolute_error: 0.721, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4106, root_relative_squared_error: 0.8307, scimark_benchmark: 1835.9254, usercpu_time_millis: 5.252, usercpu_time_millis_testing: 0.017, usercpu_time_millis_training: 5.235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7928, f_measure: 0.7298, kappa: 0.4445, kb_relative_information_score: 8928.4753, mean_absolute_error: 0.4073, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7404, predictive_accuracy: 0.7376, prior_entropy: 0.9835, recall: 0.7376, relative_absolute_error: 0.8335, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4344, root_relative_squared_error: 0.8789, scimark_benchmark: 1849.7595, usercpu_time_millis: 1.64, usercpu_time_millis_testing: 0.017, usercpu_time_millis_training: 1.623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8008, f_measure: 0.7511, kappa: 0.488, kb_relative_information_score: 10069.0967, mean_absolute_error: 0.3964, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.761, predictive_accuracy: 0.7576, prior_entropy: 0.9835, recall: 0.7576, relative_absolute_error: 0.8114, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4275, root_relative_squared_error: 0.8648, scimark_benchmark: 1807.7091, usercpu_time_millis: 40.594, usercpu_time_millis_testing: 0.019, usercpu_time_millis_training: 40.575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.827, f_measure: 0.7549, kappa: 0.4955, kb_relative_information_score: 15750.4837, mean_absolute_error: 0.3325, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7611, predictive_accuracy: 0.7598, prior_entropy: 0.9835, recall: 0.7598, relative_absolute_error: 0.6806, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4057, root_relative_squared_error: 0.8208, scimark_benchmark: 1808.3366, usercpu_time_millis: 43.042, usercpu_time_millis_testing: 0.02, usercpu_time_millis_training: 43.022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.689, f_measure: 0.4204, kb_relative_information_score: 639.7849, mean_absolute_error: 0.4834, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 0.9893, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4892, root_relative_squared_error: 0.9898, scimark_benchmark: 1807.394, usercpu_time_millis: 47.491, usercpu_time_millis_testing: 0.021, usercpu_time_millis_training: 47.47,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7878, f_measure: 0.7398, kappa: 0.4655, kb_relative_information_score: 7727.2329, mean_absolute_error: 0.4203, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7533, predictive_accuracy: 0.7481, prior_entropy: 0.9835, recall: 0.7481, relative_absolute_error: 0.8601, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4406, root_relative_squared_error: 0.8914, scimark_benchmark: 1848.8462, usercpu_time_millis: 31.27, usercpu_time_millis_testing: 0.023, usercpu_time_millis_training: 31.247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7473, f_measure: 0.6274, kappa: 0.265, kb_relative_information_score: 2548.2726, mean_absolute_error: 0.4683, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7054, predictive_accuracy: 0.6696, prior_entropy: 0.9835, recall: 0.6696, relative_absolute_error: 0.9584, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4736, root_relative_squared_error: 0.9581, scimark_benchmark: 1812.9359, usercpu_time_millis: 58.84, usercpu_time_millis_testing: 0.02, usercpu_time_millis_training: 58.82,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7868, f_measure: 0.7167, kappa: 0.4174, kb_relative_information_score: 9181.3717, mean_absolute_error: 0.4032, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7258, predictive_accuracy: 0.7245, prior_entropy: 0.9835, recall: 0.7245, relative_absolute_error: 0.8253, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4352, root_relative_squared_error: 0.8805, scimark_benchmark: 1774.4435, usercpu_time_millis: 51.4, usercpu_time_millis_testing: 0.02, usercpu_time_millis_training: 51.38,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9598, f_measure: 0.891, kappa: 0.7768, kb_relative_information_score: 30260.9192, mean_absolute_error: 0.1739, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.891, predictive_accuracy: 0.8911, prior_entropy: 0.9835, recall: 0.8911, relative_absolute_error: 0.3558, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2808, root_relative_squared_error: 0.5681, scimark_benchmark: 1755.4122, usercpu_time_millis: 75.42, usercpu_time_millis_testing: 1.108, usercpu_time_millis_training: 74.312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7756, f_measure: 0.7025, kappa: 0.392, kb_relative_information_score: 6016.3603, mean_absolute_error: 0.4362, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7256, predictive_accuracy: 0.7168, prior_entropy: 0.9835, recall: 0.7168, relative_absolute_error: 0.8926, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4513, root_relative_squared_error: 0.9131, scimark_benchmark: 1754.8068, usercpu_time_millis: 98.016, usercpu_time_millis_testing: 0.02, usercpu_time_millis_training: 97.996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8848, f_measure: 0.8065, kappa: 0.6019, kb_relative_information_score: 20041.7404, mean_absolute_error: 0.2883, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8091, predictive_accuracy: 0.8087, prior_entropy: 0.9835, recall: 0.8087, relative_absolute_error: 0.5901, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3685, root_relative_squared_error: 0.7455, scimark_benchmark: 1818.0322, usercpu_time_millis: 125.748, usercpu_time_millis_testing: 0.567, usercpu_time_millis_training: 125.181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9465, f_measure: 0.8736, kappa: 0.741, kb_relative_information_score: 28565.2689, mean_absolute_error: 0.1919, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8736, predictive_accuracy: 0.8738, prior_entropy: 0.9835, recall: 0.8738, relative_absolute_error: 0.3928, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3016, root_relative_squared_error: 0.6102, scimark_benchmark: 1840.7954, usercpu_time_millis: 124.163, usercpu_time_millis_testing: 3.047, usercpu_time_millis_training: 121.116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7171, f_measure: 0.631, kappa: 0.248, kb_relative_information_score: 4950.8221, mean_absolute_error: 0.4433, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.6506, predictive_accuracy: 0.6515, prior_entropy: 0.9835, recall: 0.6515, relative_absolute_error: 0.9073, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4621, root_relative_squared_error: 0.9349, scimark_benchmark: 1820.4674, usercpu_time_millis: 136.094, usercpu_time_millis_testing: 0.02, usercpu_time_millis_training: 136.074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8266, f_measure: 0.7533, kappa: 0.4923, kb_relative_information_score: 15438.7042, mean_absolute_error: 0.3362, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7599, predictive_accuracy: 0.7585, prior_entropy: 0.9835, recall: 0.7585, relative_absolute_error: 0.6881, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4061, root_relative_squared_error: 0.8217, scimark_benchmark: 1819.89, usercpu_time_millis: 64.107, usercpu_time_millis_testing: 0.021, usercpu_time_millis_training: 64.086,

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