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: 0.8977, f_measure: 0.8158, kappa: 0.621, kb_relative_information_score: 19840.6237, mean_absolute_error: 0.2918, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8182, predictive_accuracy: 0.8177, prior_entropy: 0.9835, recall: 0.8177, relative_absolute_error: 0.5972, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3624, root_relative_squared_error: 0.7331, scimark_benchmark: 1846.7651, usercpu_time_millis: 61.509, usercpu_time_millis_testing: 5.288, usercpu_time_millis_training: 56.221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: -0.107, 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: 1855.4813, usercpu_time_millis: 53.884, usercpu_time_millis_testing: 8.387, usercpu_time_millis_training: 45.497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9757, f_measure: 0.9197, kappa: 0.8355, kb_relative_information_score: 32607.3816, mean_absolute_error: 0.1491, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9196, predictive_accuracy: 0.9197, prior_entropy: 0.9835, recall: 0.9197, relative_absolute_error: 0.3052, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2488, root_relative_squared_error: 0.5034, scimark_benchmark: 1852.859, usercpu_time_millis: 34.208, usercpu_time_millis_testing: 0.848, usercpu_time_millis_training: 33.36,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8274, f_measure: 0.7528, kappa: 0.4936, kb_relative_information_score: 9897.3377, mean_absolute_error: 0.4011, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7758, predictive_accuracy: 0.7632, prior_entropy: 0.9835, recall: 0.7632, relative_absolute_error: 0.8208, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4252, root_relative_squared_error: 0.8602, scimark_benchmark: 1853.9121, usercpu_time_millis: 34.956, usercpu_time_millis_testing: 2.376, usercpu_time_millis_training: 32.58,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8201, f_measure: 0.7504, kappa: 0.4889, kb_relative_information_score: 9027.0347, mean_absolute_error: 0.4098, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7741, predictive_accuracy: 0.7611, prior_entropy: 0.9835, recall: 0.7611, relative_absolute_error: 0.8386, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4308, root_relative_squared_error: 0.8716, scimark_benchmark: 1855.0232, usercpu_time_millis: 30.898, usercpu_time_millis_testing: 3.239, usercpu_time_millis_training: 27.659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8631, f_measure: 0.7845, kappa: 0.5564, kb_relative_information_score: 17796.7422, mean_absolute_error: 0.3129, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7886, predictive_accuracy: 0.7877, prior_entropy: 0.9835, recall: 0.7877, relative_absolute_error: 0.6405, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3854, root_relative_squared_error: 0.7797, scimark_benchmark: 1853.0716, usercpu_time_millis: 21.555, usercpu_time_millis_testing: 1.203, usercpu_time_millis_training: 20.352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4204, kb_relative_information_score: -2.3146, 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: 1855.4813, usercpu_time_millis: 4.327, usercpu_time_millis_testing: 0.472, usercpu_time_millis_training: 3.855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8874, f_measure: 0.8101, kappa: 0.6093, kb_relative_information_score: 19379.9195, mean_absolute_error: 0.2958, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8122, predictive_accuracy: 0.812, prior_entropy: 0.9835, recall: 0.812, relative_absolute_error: 0.6054, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3693, root_relative_squared_error: 0.7471, scimark_benchmark: 1853.454, usercpu_time_millis: 12.209, usercpu_time_millis_testing: 0.518, usercpu_time_millis_training: 11.691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8659, f_measure: 0.8377, kappa: 0.6682, kb_relative_information_score: 29877.4099, mean_absolute_error: 0.1654, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.838, predictive_accuracy: 0.8375, prior_entropy: 0.9835, recall: 0.8375, relative_absolute_error: 0.3386, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3777, root_relative_squared_error: 0.7641, scimark_benchmark: 1844.6953, usercpu_time_millis: 1.78, usercpu_time_millis_testing: 0.106, usercpu_time_millis_training: 1.674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9324, f_measure: 0.8562, kappa: 0.7051, kb_relative_information_score: 26006.3634, mean_absolute_error: 0.2206, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8562, predictive_accuracy: 0.8566, prior_entropy: 0.9835, recall: 0.8566, relative_absolute_error: 0.4514, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3216, root_relative_squared_error: 0.6507, scimark_benchmark: 1855.0989, usercpu_time_millis: 4.109, usercpu_time_millis_testing: 0.167, usercpu_time_millis_training: 3.942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.943, f_measure: 0.8643, kappa: 0.7217, kb_relative_information_score: 26068.3286, mean_absolute_error: 0.2219, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8643, predictive_accuracy: 0.8646, prior_entropy: 0.9835, recall: 0.8646, relative_absolute_error: 0.4542, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3122, root_relative_squared_error: 0.6316, scimark_benchmark: 1751.5845, usercpu_time_millis: 348.702, usercpu_time_millis_testing: 14.642, usercpu_time_millis_training: 334.06,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.829, f_measure: 0.7486, kappa: 0.4839, kb_relative_information_score: 14602.5407, mean_absolute_error: 0.3479, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.765, predictive_accuracy: 0.7574, prior_entropy: 0.9835, recall: 0.7574, relative_absolute_error: 0.712, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4114, root_relative_squared_error: 0.8323, scimark_benchmark: 1753.2903, usercpu_time_millis: 130.877, usercpu_time_millis_testing: 11.331, usercpu_time_millis_training: 119.546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8606, f_measure: 0.7672, kappa: 0.5214, kb_relative_information_score: 16618.3377, mean_absolute_error: 0.3265, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.78, predictive_accuracy: 0.7739, prior_entropy: 0.9835, recall: 0.7739, relative_absolute_error: 0.6682, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3911, root_relative_squared_error: 0.7914, scimark_benchmark: 1814.7646, usercpu_time_millis: 142.933, usercpu_time_millis_testing: 11.977, usercpu_time_millis_training: 130.956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8685, f_measure: 0.7781, kappa: 0.5434, kb_relative_information_score: 17573.5761, mean_absolute_error: 0.3155, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7868, predictive_accuracy: 0.7831, prior_entropy: 0.9835, recall: 0.7831, relative_absolute_error: 0.6457, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3842, root_relative_squared_error: 0.7772, scimark_benchmark: 1772.3315, usercpu_time_millis: 112.614, usercpu_time_millis_testing: 7.228, usercpu_time_millis_training: 105.386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8559, f_measure: 0.7661, kappa: 0.5191, kb_relative_information_score: 16680.1864, mean_absolute_error: 0.3251, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7772, predictive_accuracy: 0.7724, prior_entropy: 0.9835, recall: 0.7724, relative_absolute_error: 0.6654, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3923, root_relative_squared_error: 0.7937, scimark_benchmark: 1749.5206, usercpu_time_millis: 68.512, usercpu_time_millis_testing: 5.049, usercpu_time_millis_training: 63.463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9226, f_measure: 0.8408, kappa: 0.6735, kb_relative_information_score: 23832.0585, mean_absolute_error: 0.2458, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8409, predictive_accuracy: 0.8413, prior_entropy: 0.9835, recall: 0.8413, relative_absolute_error: 0.503, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3354, root_relative_squared_error: 0.6787, scimark_benchmark: 1777.5765, usercpu_time_millis: 76.072, usercpu_time_millis_testing: 3.695, usercpu_time_millis_training: 72.377,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8056, f_measure: 0.7519, kappa: 0.491, kb_relative_information_score: 11262.8094, mean_absolute_error: 0.3868, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7708, predictive_accuracy: 0.7612, prior_entropy: 0.9835, recall: 0.7612, relative_absolute_error: 0.7916, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4216, root_relative_squared_error: 0.853, scimark_benchmark: 1807.5424, usercpu_time_millis: 72.81, usercpu_time_millis_testing: 9.221, usercpu_time_millis_training: 63.589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8453, f_measure: 0.7539, kappa: 0.4943, kb_relative_information_score: 14768.4876, mean_absolute_error: 0.3469, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7677, predictive_accuracy: 0.7615, prior_entropy: 0.9835, recall: 0.7615, relative_absolute_error: 0.71, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4041, root_relative_squared_error: 0.8176, scimark_benchmark: 1810.7686, usercpu_time_millis: 66.369, usercpu_time_millis_testing: 5.416, usercpu_time_millis_training: 60.953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9227, f_measure: 0.8416, kappa: 0.6744, kb_relative_information_score: 20907.4796, mean_absolute_error: 0.2838, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8426, predictive_accuracy: 0.8426, prior_entropy: 0.9835, recall: 0.8426, relative_absolute_error: 0.5809, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3448, root_relative_squared_error: 0.6975, scimark_benchmark: 1804.9029, usercpu_time_millis: 62.647, usercpu_time_millis_testing: 4.201, usercpu_time_millis_training: 58.446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9735, f_measure: 0.9149, kappa: 0.8257, kb_relative_information_score: 31819.4051, mean_absolute_error: 0.1584, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9149, predictive_accuracy: 0.9149, prior_entropy: 0.9835, recall: 0.9149, relative_absolute_error: 0.3242, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2557, root_relative_squared_error: 0.5174, scimark_benchmark: 1774.6877, usercpu_time_millis: 59.655, usercpu_time_millis_testing: 2.041, usercpu_time_millis_training: 57.614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7954, f_measure: 0.7518, kappa: 0.4914, kb_relative_information_score: 7912.4399, mean_absolute_error: 0.4205, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7731, predictive_accuracy: 0.7618, prior_entropy: 0.9835, recall: 0.7618, relative_absolute_error: 0.8607, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4385, root_relative_squared_error: 0.8871, scimark_benchmark: 1782.7632, usercpu_time_millis: 55.543, usercpu_time_millis_testing: 7.186, usercpu_time_millis_training: 48.357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.915, f_measure: 0.8314, kappa: 0.654, kb_relative_information_score: 23098.1914, mean_absolute_error: 0.2533, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8314, predictive_accuracy: 0.8319, prior_entropy: 0.9835, recall: 0.8319, relative_absolute_error: 0.5184, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.343, root_relative_squared_error: 0.694, scimark_benchmark: 1769.8682, usercpu_time_millis: 33.152, usercpu_time_millis_testing: 1.365, usercpu_time_millis_training: 31.787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4204, kb_relative_information_score: 1.4187, 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: 1808.3887, usercpu_time_millis: 16.25, usercpu_time_millis_testing: 2.201, usercpu_time_millis_training: 14.049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4204, kb_relative_information_score: -3.6183, 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: 1737.4157, usercpu_time_millis: 8.538, usercpu_time_millis_testing: 0.964, usercpu_time_millis_training: 7.574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8045, f_measure: 0.7486, kappa: 0.484, kb_relative_information_score: 13868.4776, mean_absolute_error: 0.3565, 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: 0.7295, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4161, root_relative_squared_error: 0.8419, scimark_benchmark: 1774.3819, usercpu_time_millis: 4.367, usercpu_time_millis_testing: 0.294, usercpu_time_millis_training: 4.073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9753, f_measure: 0.918, kappa: 0.8321, kb_relative_information_score: 32055.1282, mean_absolute_error: 0.156, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.918, predictive_accuracy: 0.9181, prior_entropy: 0.9835, recall: 0.9181, relative_absolute_error: 0.3193, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.252, root_relative_squared_error: 0.5099, scimark_benchmark: 1457.2428, usercpu_time_millis: 1304.43, usercpu_time_millis_testing: 39.014, usercpu_time_millis_training: 1265.416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9773, f_measure: 0.9272, kappa: 0.8509, kb_relative_information_score: 35127.9475, mean_absolute_error: 0.1177, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9272, predictive_accuracy: 0.9272, prior_entropy: 0.9835, recall: 0.9272, relative_absolute_error: 0.2409, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.235, root_relative_squared_error: 0.4754, scimark_benchmark: 1441.7933, usercpu_time_millis: 97.337, usercpu_time_millis_testing: 2.347, usercpu_time_millis_training: 94.99,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.834, f_measure: 0.7548, kappa: 0.4976, kb_relative_information_score: 10528.2538, mean_absolute_error: 0.3947, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7772, predictive_accuracy: 0.7649, prior_entropy: 0.9835, recall: 0.7649, relative_absolute_error: 0.8077, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4211, root_relative_squared_error: 0.8519, scimark_benchmark: 1422.2703, usercpu_time_millis: 69.707, usercpu_time_millis_testing: 10.161, usercpu_time_millis_training: 59.546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8853, f_measure: 0.7982, kappa: 0.5846, kb_relative_information_score: 18348.8445, mean_absolute_error: 0.3082, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8037, predictive_accuracy: 0.8016, prior_entropy: 0.9835, recall: 0.8016, relative_absolute_error: 0.6307, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3737, root_relative_squared_error: 0.7561, scimark_benchmark: 1450.9862, usercpu_time_millis: 169.535, usercpu_time_millis_testing: 13.029, usercpu_time_millis_training: 156.506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9071, f_measure: 0.8241, kappa: 0.6386, kb_relative_information_score: 21423.0612, mean_absolute_error: 0.2735, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8249, predictive_accuracy: 0.8252, prior_entropy: 0.9835, recall: 0.8252, relative_absolute_error: 0.5596, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3523, root_relative_squared_error: 0.7128, scimark_benchmark: 1471.1265, usercpu_time_millis: 117.805, usercpu_time_millis_testing: 7.401, usercpu_time_millis_training: 110.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: -0.6816, 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: 1455.8101, usercpu_time_millis: 11.237, usercpu_time_millis_testing: 1.495, usercpu_time_millis_training: 9.742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9654, f_measure: 0.8975, kappa: 0.7899, kb_relative_information_score: 28878.7816, mean_absolute_error: 0.1935, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8976, predictive_accuracy: 0.8978, prior_entropy: 0.9835, recall: 0.8978, relative_absolute_error: 0.396, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2784, root_relative_squared_error: 0.5632, scimark_benchmark: 1454.4373, usercpu_time_millis: 124.124, usercpu_time_millis_testing: 6.433, usercpu_time_millis_training: 117.691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9172, f_measure: 0.8339, kappa: 0.6591, kb_relative_information_score: 23241.4762, mean_absolute_error: 0.2519, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8341, predictive_accuracy: 0.8345, prior_entropy: 0.9835, recall: 0.8345, relative_absolute_error: 0.5154, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3412, root_relative_squared_error: 0.6902, scimark_benchmark: 1456.9973, usercpu_time_millis: 208.085, usercpu_time_millis_testing: 8.373, usercpu_time_millis_training: 199.712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8036, f_measure: 0.7489, kappa: 0.4846, kb_relative_information_score: 11862.3213, mean_absolute_error: 0.3807, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7656, predictive_accuracy: 0.7577, prior_entropy: 0.9835, recall: 0.7577, relative_absolute_error: 0.7791, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4209, root_relative_squared_error: 0.8516, scimark_benchmark: 1464.8505, usercpu_time_millis: 86.878, usercpu_time_millis_testing: 12.862, usercpu_time_millis_training: 74.016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9686, f_measure: 0.905, kappa: 0.8053, kb_relative_information_score: 29766.1315, mean_absolute_error: 0.183, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.905, predictive_accuracy: 0.9052, prior_entropy: 0.9835, recall: 0.9052, relative_absolute_error: 0.3745, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2712, root_relative_squared_error: 0.5487, scimark_benchmark: 1472.9412, usercpu_time_millis: 297.598, usercpu_time_millis_testing: 17.218, usercpu_time_millis_training: 280.38,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8932, f_measure: 0.8148, kappa: 0.6195, kb_relative_information_score: 20319.4128, mean_absolute_error: 0.285, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8155, predictive_accuracy: 0.816, prior_entropy: 0.9835, recall: 0.816, relative_absolute_error: 0.5832, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3635, root_relative_squared_error: 0.7354, scimark_benchmark: 1438.2549, usercpu_time_millis: 42.368, usercpu_time_millis_testing: 2.248, usercpu_time_millis_training: 40.12,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9782, f_measure: 0.9249, kappa: 0.8462, kb_relative_information_score: 33468.9644, mean_absolute_error: 0.139, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9249, predictive_accuracy: 0.9249, prior_entropy: 0.9835, recall: 0.9249, relative_absolute_error: 0.2844, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2412, root_relative_squared_error: 0.4879, scimark_benchmark: 1456.8458, usercpu_time_millis: 344.818, usercpu_time_millis_testing: 8.05, usercpu_time_millis_training: 336.768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9813, f_measure: 0.9297, kappa: 0.8561, kb_relative_information_score: 34175.3156, mean_absolute_error: 0.1312, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9297, predictive_accuracy: 0.9298, prior_entropy: 0.9835, recall: 0.9298, relative_absolute_error: 0.2686, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2322, root_relative_squared_error: 0.4697, scimark_benchmark: 1466.0451, usercpu_time_millis: 1522.467, usercpu_time_millis_testing: 56.48, usercpu_time_millis_training: 1465.987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9779, f_measure: 0.9225, kappa: 0.8412, kb_relative_information_score: 32745.3256, mean_absolute_error: 0.1484, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9225, predictive_accuracy: 0.9226, prior_entropy: 0.9835, recall: 0.9226, relative_absolute_error: 0.3036, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2445, root_relative_squared_error: 0.4947, scimark_benchmark: 1473.6708, usercpu_time_millis: 96.07, usercpu_time_millis_testing: 4.126, usercpu_time_millis_training: 91.944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.4204, kb_relative_information_score: -0.3513, 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: 1454.4304, usercpu_time_millis: 49.104, usercpu_time_millis_testing: 8.51, usercpu_time_millis_training: 40.594,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8952, f_measure: 0.8163, kappa: 0.623, kb_relative_information_score: 20985.081, mean_absolute_error: 0.277, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8163, predictive_accuracy: 0.8169, prior_entropy: 0.9835, recall: 0.8169, relative_absolute_error: 0.5669, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3609, root_relative_squared_error: 0.7301, scimark_benchmark: 1462.9882, usercpu_time_millis: 110.998, usercpu_time_millis_testing: 5.764, usercpu_time_millis_training: 105.234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9571, f_measure: 0.8867, kappa: 0.7678, kb_relative_information_score: 27930.3333, mean_absolute_error: 0.2023, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8867, predictive_accuracy: 0.8869, prior_entropy: 0.9835, recall: 0.8869, relative_absolute_error: 0.414, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2922, root_relative_squared_error: 0.5911, scimark_benchmark: 1458.2299, usercpu_time_millis: 1009.545, usercpu_time_millis_testing: 37.813, usercpu_time_millis_training: 971.732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8844, f_measure: 0.8055, kappa: 0.601, kb_relative_information_score: 20299.1149, mean_absolute_error: 0.2843, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8054, predictive_accuracy: 0.8061, prior_entropy: 0.9835, recall: 0.8061, relative_absolute_error: 0.5819, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3687, root_relative_squared_error: 0.7459, scimark_benchmark: 1466.5677, usercpu_time_millis: 176.589, usercpu_time_millis_testing: 10.173, usercpu_time_millis_training: 166.416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9694, f_measure: 0.9066, kappa: 0.8086, kb_relative_information_score: 29959.5793, mean_absolute_error: 0.1807, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9066, predictive_accuracy: 0.9067, prior_entropy: 0.9835, recall: 0.9067, relative_absolute_error: 0.3699, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2695, root_relative_squared_error: 0.5452, scimark_benchmark: 1460.0782, usercpu_time_millis: 163.781, usercpu_time_millis_testing: 8.348, usercpu_time_millis_training: 155.433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9459, f_measure: 0.8705, kappa: 0.7345, kb_relative_information_score: 26703.9225, mean_absolute_error: 0.2148, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8704, predictive_accuracy: 0.8707, prior_entropy: 0.9835, recall: 0.8707, relative_absolute_error: 0.4396, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3074, root_relative_squared_error: 0.622, scimark_benchmark: 1462.3986, usercpu_time_millis: 327.453, usercpu_time_millis_testing: 14.584, usercpu_time_millis_training: 312.869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.913, f_measure: 0.8305, kappa: 0.6523, kb_relative_information_score: 23139.9187, mean_absolute_error: 0.2521, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8305, predictive_accuracy: 0.831, prior_entropy: 0.9835, recall: 0.831, relative_absolute_error: 0.516, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3446, root_relative_squared_error: 0.6973, scimark_benchmark: 1448.3931, usercpu_time_millis: 69.101, usercpu_time_millis_testing: 1.717, usercpu_time_millis_training: 67.384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9007, f_measure: 0.8188, kappa: 0.6275, kb_relative_information_score: 20722.8911, mean_absolute_error: 0.2812, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8198, predictive_accuracy: 0.8201, prior_entropy: 0.9835, recall: 0.8201, relative_absolute_error: 0.5754, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3581, root_relative_squared_error: 0.7246, scimark_benchmark: 1441.8684, usercpu_time_millis: 165.413, usercpu_time_millis_testing: 10.44, usercpu_time_millis_training: 154.973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8628, f_measure: 0.7742, kappa: 0.5353, kb_relative_information_score: 17279.9985, mean_absolute_error: 0.3188, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7832, predictive_accuracy: 0.7794, prior_entropy: 0.9835, recall: 0.7794, relative_absolute_error: 0.6525, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3877, root_relative_squared_error: 0.7844, scimark_benchmark: 1462.9782, usercpu_time_millis: 96.19, usercpu_time_millis_testing: 8.096, usercpu_time_millis_training: 88.094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9386, f_measure: 0.8598, kappa: 0.7123, kb_relative_information_score: 22623.2626, mean_absolute_error: 0.2658, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8601, predictive_accuracy: 0.8604, prior_entropy: 0.9835, recall: 0.8604, relative_absolute_error: 0.544, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3283, root_relative_squared_error: 0.6642, scimark_benchmark: 1449.3523, usercpu_time_millis: 468.246, usercpu_time_millis_testing: 33.998, usercpu_time_millis_training: 434.248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: -0.803, 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: 1456.9399, usercpu_time_millis: 62.214, usercpu_time_millis_testing: 9.32, usercpu_time_millis_training: 52.894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9299, f_measure: 0.8497, kappa: 0.6913, kb_relative_information_score: 21559.1584, mean_absolute_error: 0.2771, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8504, predictive_accuracy: 0.8505, prior_entropy: 0.9835, recall: 0.8505, relative_absolute_error: 0.5672, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3381, root_relative_squared_error: 0.684, scimark_benchmark: 1468.8723, usercpu_time_millis: 259.899, usercpu_time_millis_testing: 21.368, usercpu_time_millis_training: 238.531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9352, f_measure: 0.8553, kappa: 0.7029, kb_relative_information_score: 22169.1641, mean_absolute_error: 0.2707, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8558, predictive_accuracy: 0.856, prior_entropy: 0.9835, recall: 0.856, relative_absolute_error: 0.5541, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3323, root_relative_squared_error: 0.6724, scimark_benchmark: 1457.6186, usercpu_time_millis: 364.186, usercpu_time_millis_testing: 30.861, usercpu_time_millis_training: 333.325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9776, f_measure: 0.9225, kappa: 0.8413, kb_relative_information_score: 32735.0358, mean_absolute_error: 0.1482, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9225, predictive_accuracy: 0.9225, prior_entropy: 0.9835, recall: 0.9225, relative_absolute_error: 0.3033, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2453, root_relative_squared_error: 0.4962, scimark_benchmark: 1442.9921, usercpu_time_millis: 215.745, usercpu_time_millis_testing: 5.375, usercpu_time_millis_training: 210.37,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8511, f_measure: 0.7615, kappa: 0.5107, kb_relative_information_score: 12439.7579, mean_absolute_error: 0.3744, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7806, predictive_accuracy: 0.7703, prior_entropy: 0.9835, recall: 0.7703, relative_absolute_error: 0.7663, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4088, root_relative_squared_error: 0.827, scimark_benchmark: 1462.7153, usercpu_time_millis: 21.634, usercpu_time_millis_testing: 1.972, usercpu_time_millis_training: 19.662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8667, f_measure: 0.7907, kappa: 0.57, kb_relative_information_score: 18275.2065, mean_absolute_error: 0.3071, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7909, predictive_accuracy: 0.7918, prior_entropy: 0.9835, recall: 0.7918, relative_absolute_error: 0.6286, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3823, root_relative_squared_error: 0.7734, scimark_benchmark: 1456.2034, usercpu_time_millis: 236.355, usercpu_time_millis_testing: 10.331, usercpu_time_millis_training: 226.024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9282, f_measure: 0.8458, kappa: 0.6837, kb_relative_information_score: 24586.9426, mean_absolute_error: 0.2372, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8458, predictive_accuracy: 0.8462, prior_entropy: 0.9835, recall: 0.8462, relative_absolute_error: 0.4854, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3292, root_relative_squared_error: 0.666, scimark_benchmark: 1440.0774, usercpu_time_millis: 604.029, usercpu_time_millis_testing: 28.299, usercpu_time_millis_training: 575.73,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8284, f_measure: 0.7529, kappa: 0.4937, kb_relative_information_score: 10144.8149, mean_absolute_error: 0.3985, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7754, predictive_accuracy: 0.7631, prior_entropy: 0.9835, recall: 0.7631, relative_absolute_error: 0.8156, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4238, root_relative_squared_error: 0.8574, scimark_benchmark: 1452.3614, usercpu_time_millis: 9.977, usercpu_time_millis_testing: 0.86, usercpu_time_millis_training: 9.117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9218, f_measure: 0.8386, kappa: 0.6687, kb_relative_information_score: 23055.8422, mean_absolute_error: 0.2556, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8389, predictive_accuracy: 0.8393, prior_entropy: 0.9835, recall: 0.8393, relative_absolute_error: 0.5231, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.338, root_relative_squared_error: 0.6838, scimark_benchmark: 1459.146, usercpu_time_millis: 218.734, usercpu_time_millis_testing: 14.037, usercpu_time_millis_training: 204.697,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8376, f_measure: 0.7558, kappa: 0.4989, kb_relative_information_score: 12229.7791, mean_absolute_error: 0.3763, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7742, predictive_accuracy: 0.7647, prior_entropy: 0.9835, recall: 0.7647, relative_absolute_error: 0.7701, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4131, root_relative_squared_error: 0.8358, scimark_benchmark: 1459.202, usercpu_time_millis: 117.18, usercpu_time_millis_testing: 11.034, usercpu_time_millis_training: 106.146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8458, f_measure: 0.7539, kappa: 0.4944, kb_relative_information_score: 14673.2655, mean_absolute_error: 0.348, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7684, predictive_accuracy: 0.7618, prior_entropy: 0.9835, recall: 0.7618, relative_absolute_error: 0.7122, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4045, root_relative_squared_error: 0.8183, scimark_benchmark: 1456.7484, usercpu_time_millis: 104.931, usercpu_time_millis_testing: 13.451, usercpu_time_millis_training: 91.48,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8705, f_measure: 0.7977, kappa: 0.5853, kb_relative_information_score: 19012.524, mean_absolute_error: 0.299, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7975, predictive_accuracy: 0.7981, prior_entropy: 0.9835, recall: 0.7981, relative_absolute_error: 0.6119, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3787, root_relative_squared_error: 0.7661, scimark_benchmark: 1447.2725, usercpu_time_millis: 247.344, usercpu_time_millis_testing: 9.306, usercpu_time_millis_training: 238.038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9402, f_measure: 0.8618, kappa: 0.7163, kb_relative_information_score: 22827.2165, mean_absolute_error: 0.2637, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8622, predictive_accuracy: 0.8624, prior_entropy: 0.9835, recall: 0.8624, relative_absolute_error: 0.5397, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3263, root_relative_squared_error: 0.6602, scimark_benchmark: 1453.5665, usercpu_time_millis: 373.598, usercpu_time_millis_testing: 31.894, usercpu_time_millis_training: 341.704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9567, f_measure: 0.8853, kappa: 0.7648, kb_relative_information_score: 27409.9876, mean_absolute_error: 0.2092, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8854, predictive_accuracy: 0.8856, prior_entropy: 0.9835, recall: 0.8856, relative_absolute_error: 0.4281, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2942, root_relative_squared_error: 0.5951, scimark_benchmark: 1446.074, usercpu_time_millis: 266.292, usercpu_time_millis_testing: 22.665, usercpu_time_millis_training: 243.627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9106, f_measure: 0.8263, kappa: 0.6434, kb_relative_information_score: 22119.0049, mean_absolute_error: 0.2653, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8267, predictive_accuracy: 0.8272, prior_entropy: 0.9835, recall: 0.8272, relative_absolute_error: 0.5429, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3482, root_relative_squared_error: 0.7046, scimark_benchmark: 1456.5224, usercpu_time_millis: 159.291, usercpu_time_millis_testing: 12.285, usercpu_time_millis_training: 147.006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9097, f_measure: 0.8258, kappa: 0.6419, kb_relative_information_score: 21196.0692, mean_absolute_error: 0.277, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.827, predictive_accuracy: 0.8271, prior_entropy: 0.9835, recall: 0.8271, relative_absolute_error: 0.5669, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3513, root_relative_squared_error: 0.7107, scimark_benchmark: 1456.1756, usercpu_time_millis: 183.231, usercpu_time_millis_testing: 15.198, usercpu_time_millis_training: 168.033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9543, f_measure: 0.8842, kappa: 0.7627, kb_relative_information_score: 27581.9354, mean_absolute_error: 0.2063, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8841, predictive_accuracy: 0.8843, prior_entropy: 0.9835, recall: 0.8843, relative_absolute_error: 0.4223, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2958, root_relative_squared_error: 0.5984, scimark_benchmark: 1458.1921, usercpu_time_millis: 312.219, usercpu_time_millis_testing: 18.861, usercpu_time_millis_training: 293.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8864, f_measure: 0.8099, kappa: 0.61, kb_relative_information_score: 20287.0359, mean_absolute_error: 0.2847, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8098, predictive_accuracy: 0.8104, prior_entropy: 0.9835, recall: 0.8104, relative_absolute_error: 0.5826, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3675, root_relative_squared_error: 0.7436, scimark_benchmark: 1450.4275, usercpu_time_millis: 404.892, usercpu_time_millis_testing: 17.133, usercpu_time_millis_training: 387.759,

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