OpenML
Supervised Classification on nomao

Supervised Classification on nomao

Task 9977 Supervised Classification nomao 31592 runs submitted
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  • OpenML-CC18 OpenML100 study_123 study_14 study_218 study_99
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9541, f_measure: 0.8701, kappa: 0.6836, kb_relative_information_score: 17816.6542, mean_absolute_error: 0.2022, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.871, predictive_accuracy: 0.8694, prior_entropy: 0.863, recall: 0.8694, relative_absolute_error: 0.4956, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2995, root_relative_squared_error: 0.663, scimark_benchmark: 1829.6751, usercpu_time_millis: 878.083, usercpu_time_millis_testing: 6.53, usercpu_time_millis_training: 871.553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9245, f_measure: 0.8641, kappa: 0.6713, kb_relative_information_score: 17384.5777, mean_absolute_error: 0.205, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8667, predictive_accuracy: 0.8626, prior_entropy: 0.863, recall: 0.8626, relative_absolute_error: 0.5025, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3108, root_relative_squared_error: 0.6881, scimark_benchmark: 1727.044, usercpu_time_millis: 1079.13, usercpu_time_millis_testing: 5.259, usercpu_time_millis_training: 1073.871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.9417, kappa: 0.8563, kb_relative_information_score: 26293.6053, mean_absolute_error: 0.1004, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9416, predictive_accuracy: 0.942, prior_entropy: 0.863, recall: 0.942, relative_absolute_error: 0.2461, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2094, root_relative_squared_error: 0.4635, scimark_benchmark: 1854.4951, usercpu_time_millis: 1169.311, usercpu_time_millis_testing: 7.78, usercpu_time_millis_training: 1161.531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.985, f_measure: 0.941, kappa: 0.8545, kb_relative_information_score: 26142.5822, mean_absolute_error: 0.1028, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.941, predictive_accuracy: 0.9415, prior_entropy: 0.863, recall: 0.9415, relative_absolute_error: 0.2519, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2099, root_relative_squared_error: 0.4647, scimark_benchmark: 1846.1643, usercpu_time_millis: 898.34, usercpu_time_millis_testing: 12.601, usercpu_time_millis_training: 885.739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9791, f_measure: 0.9305, kappa: 0.8269, kb_relative_information_score: 25098.6721, mean_absolute_error: 0.1133, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9318, predictive_accuracy: 0.9318, prior_entropy: 0.863, recall: 0.9318, relative_absolute_error: 0.2777, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2272, root_relative_squared_error: 0.5029, scimark_benchmark: 1818.9456, usercpu_time_millis: 1088.183, usercpu_time_millis_testing: 3.689, usercpu_time_millis_training: 1084.494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9323, kappa: 0.8303, kb_relative_information_score: 19518.0505, mean_absolute_error: 0.2015, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9364, predictive_accuracy: 0.9344, prior_entropy: 0.863, recall: 0.9344, relative_absolute_error: 0.4938, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2588, root_relative_squared_error: 0.573, scimark_benchmark: 1850.2875, usercpu_time_millis: 146.624, usercpu_time_millis_testing: 9.692, usercpu_time_millis_training: 136.932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9773, f_measure: 0.9194, kappa: 0.7975, kb_relative_information_score: 24685.329, mean_absolute_error: 0.1192, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9237, predictive_accuracy: 0.922, prior_entropy: 0.863, recall: 0.922, relative_absolute_error: 0.2921, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2323, root_relative_squared_error: 0.5142, scimark_benchmark: 1797.3523, usercpu_time_millis: 162.659, usercpu_time_millis_testing: 1.574, usercpu_time_millis_training: 161.085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.9332, kappa: 0.8343, kb_relative_information_score: 25143.2706, mean_absolute_error: 0.1156, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9338, predictive_accuracy: 0.9342, prior_entropy: 0.863, recall: 0.9342, relative_absolute_error: 0.2833, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.223, root_relative_squared_error: 0.4936, scimark_benchmark: 1813.32, usercpu_time_millis: 148.511, usercpu_time_millis_testing: 1.601, usercpu_time_millis_training: 146.91,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9803, f_measure: 0.9244, kappa: 0.8107, kb_relative_information_score: 24719.8934, mean_absolute_error: 0.1208, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9273, predictive_accuracy: 0.9264, prior_entropy: 0.863, recall: 0.9264, relative_absolute_error: 0.2961, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2283, root_relative_squared_error: 0.5055, scimark_benchmark: 1855.4813, usercpu_time_millis: 176.804, usercpu_time_millis_testing: 4.065, usercpu_time_millis_training: 172.739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9473, f_measure: 0.8675, kappa: 0.6752, kb_relative_information_score: 16061.7539, mean_absolute_error: 0.2279, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8675, predictive_accuracy: 0.8676, prior_entropy: 0.863, recall: 0.8676, relative_absolute_error: 0.5585, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3087, root_relative_squared_error: 0.6835, scimark_benchmark: 1851.8567, usercpu_time_millis: 214.627, usercpu_time_millis_testing: 7.57, usercpu_time_millis_training: 207.057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.9453, kappa: 0.8654, kb_relative_information_score: 26789.4674, mean_absolute_error: 0.0945, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9452, predictive_accuracy: 0.9456, prior_entropy: 0.863, recall: 0.9456, relative_absolute_error: 0.2316, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2043, root_relative_squared_error: 0.4523, scimark_benchmark: 1802.0128, usercpu_time_millis: 216.531, usercpu_time_millis_testing: 1.19, usercpu_time_millis_training: 215.341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.9441, kappa: 0.8623, kb_relative_information_score: 26304.9932, mean_absolute_error: 0.1017, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9441, predictive_accuracy: 0.9445, prior_entropy: 0.863, recall: 0.9445, relative_absolute_error: 0.2492, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2061, root_relative_squared_error: 0.4563, scimark_benchmark: 1817.4294, usercpu_time_millis: 253.71, usercpu_time_millis_testing: 5.047, usercpu_time_millis_training: 248.663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9525, kappa: 0.8834, kb_relative_information_score: 27529.1052, mean_absolute_error: 0.0863, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9524, predictive_accuracy: 0.9526, prior_entropy: 0.863, recall: 0.9526, relative_absolute_error: 0.2115, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.193, root_relative_squared_error: 0.4273, scimark_benchmark: 1842.9158, usercpu_time_millis: 234.53, usercpu_time_millis_testing: 1.978, usercpu_time_millis_training: 232.552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9687, kappa: 0.9232, kb_relative_information_score: 29998.1184, mean_absolute_error: 0.056, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9687, predictive_accuracy: 0.9687, prior_entropy: 0.863, recall: 0.9687, relative_absolute_error: 0.1372, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1555, root_relative_squared_error: 0.3442, scimark_benchmark: 1855.4813, usercpu_time_millis: 212.922, usercpu_time_millis_testing: 2.347, usercpu_time_millis_training: 210.575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: 0.6926, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1812.2788, usercpu_time_millis: 30.96, usercpu_time_millis_testing: 2.91, usercpu_time_millis_training: 28.05,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -4.5745, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1850.8185, usercpu_time_millis: 16.644, usercpu_time_millis_testing: 2.157, usercpu_time_millis_training: 14.487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.5954, kb_relative_information_score: -7.3587, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1849.447, usercpu_time_millis: 20.81, usercpu_time_millis_testing: 3.242, usercpu_time_millis_training: 17.568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.962, kappa: 0.9066, kb_relative_information_score: 28910.1436, mean_absolute_error: 0.0697, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9619, predictive_accuracy: 0.9621, prior_entropy: 0.863, recall: 0.9621, relative_absolute_error: 0.1708, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1719, root_relative_squared_error: 0.3806, scimark_benchmark: 1848.321, usercpu_time_millis: 56.358, usercpu_time_millis_testing: 1.056, usercpu_time_millis_training: 55.302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -4.1569, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1853.9121, usercpu_time_millis: 69.95, usercpu_time_millis_testing: 4.864, usercpu_time_millis_training: 65.086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.5954, kb_relative_information_score: -3.9438, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1822.3184, usercpu_time_millis: 25.828, usercpu_time_millis_testing: 2.81, usercpu_time_millis_training: 23.018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -4.393, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1827.7801, usercpu_time_millis: 18.059, usercpu_time_millis_testing: 1.002, usercpu_time_millis_training: 17.057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.945, kappa: 0.8643, kb_relative_information_score: 26360.9998, mean_absolute_error: 0.1014, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9449, predictive_accuracy: 0.9453, prior_entropy: 0.863, recall: 0.9453, relative_absolute_error: 0.2485, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2049, root_relative_squared_error: 0.4536, scimark_benchmark: 1849.8294, usercpu_time_millis: 86.437, usercpu_time_millis_testing: 2.033, usercpu_time_millis_training: 84.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.5954, kb_relative_information_score: -0.5246, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1853.9121, usercpu_time_millis: 44.981, usercpu_time_millis_testing: 7.582, usercpu_time_millis_training: 37.399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9264, f_measure: 0.8659, kappa: 0.6751, kb_relative_information_score: 17606.4171, mean_absolute_error: 0.2031, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8682, predictive_accuracy: 0.8644, prior_entropy: 0.863, recall: 0.8644, relative_absolute_error: 0.4976, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3083, root_relative_squared_error: 0.6825, scimark_benchmark: 1851.8567, usercpu_time_millis: 51.525, usercpu_time_millis_testing: 0.761, usercpu_time_millis_training: 50.764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -0.6365, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1800.5714, usercpu_time_millis: 42.65, usercpu_time_millis_testing: 7.24, usercpu_time_millis_training: 35.41,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9705, kappa: 0.9275, kb_relative_information_score: 29950.2629, mean_absolute_error: 0.0575, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9705, predictive_accuracy: 0.9706, prior_entropy: 0.863, recall: 0.9706, relative_absolute_error: 0.141, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1517, root_relative_squared_error: 0.3359, scimark_benchmark: 1847.7161, usercpu_time_millis: 65.798, usercpu_time_millis_testing: 2.362, usercpu_time_millis_training: 63.436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9634, kappa: 0.9101, kb_relative_information_score: 29079.024, mean_absolute_error: 0.0674, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9634, predictive_accuracy: 0.9635, prior_entropy: 0.863, recall: 0.9635, relative_absolute_error: 0.1653, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1692, root_relative_squared_error: 0.3746, scimark_benchmark: 1853.9121, usercpu_time_millis: 105.432, usercpu_time_millis_testing: 1.49, usercpu_time_millis_training: 103.942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8624, f_measure: 0.8583, kappa: 0.6545, kb_relative_information_score: 15573.854, mean_absolute_error: 0.2344, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8592, predictive_accuracy: 0.8576, prior_entropy: 0.863, recall: 0.8576, relative_absolute_error: 0.5744, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.334, root_relative_squared_error: 0.7394, scimark_benchmark: 1830.7134, usercpu_time_millis: 111.329, usercpu_time_millis_testing: 2.983, usercpu_time_millis_training: 108.346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9639, f_measure: 0.8395, kappa: 0.5881, kb_relative_information_score: 11979.1833, mean_absolute_error: 0.2858, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8678, predictive_accuracy: 0.8544, prior_entropy: 0.863, recall: 0.8544, relative_absolute_error: 0.7003, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3343, root_relative_squared_error: 0.7401, scimark_benchmark: 1851.827, usercpu_time_millis: 96.701, usercpu_time_millis_testing: 7.069, usercpu_time_millis_training: 89.632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9754, f_measure: 0.9165, kappa: 0.7902, kb_relative_information_score: 24513.7635, mean_absolute_error: 0.121, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9213, predictive_accuracy: 0.9194, prior_entropy: 0.863, recall: 0.9194, relative_absolute_error: 0.2966, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2349, root_relative_squared_error: 0.52, scimark_benchmark: 1816.1822, usercpu_time_millis: 80.224, usercpu_time_millis_testing: 0.496, usercpu_time_millis_training: 79.728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -5.3142, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1832.1397, usercpu_time_millis: 65.595, usercpu_time_millis_testing: 4.915, usercpu_time_millis_training: 60.68,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9434, f_measure: 0.8644, kappa: 0.6676, kb_relative_information_score: 16343.3959, mean_absolute_error: 0.2246, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8643, predictive_accuracy: 0.8644, prior_entropy: 0.863, recall: 0.8644, relative_absolute_error: 0.5504, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3099, root_relative_squared_error: 0.686, scimark_benchmark: 1854.9533, usercpu_time_millis: 130.893, usercpu_time_millis_testing: 4.626, usercpu_time_millis_training: 126.267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.9603, kappa: 0.9025, kb_relative_information_score: 28679.3001, mean_absolute_error: 0.0725, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9603, predictive_accuracy: 0.9605, prior_entropy: 0.863, recall: 0.9605, relative_absolute_error: 0.1776, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1761, root_relative_squared_error: 0.3898, scimark_benchmark: 1850.2875, usercpu_time_millis: 86.79, usercpu_time_millis_testing: 1.065, usercpu_time_millis_training: 85.725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9593, f_measure: 0.875, kappa: 0.6949, kb_relative_information_score: 17999.1371, mean_absolute_error: 0.2033, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8756, predictive_accuracy: 0.8745, prior_entropy: 0.863, recall: 0.8745, relative_absolute_error: 0.4982, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2907, root_relative_squared_error: 0.6436, scimark_benchmark: 1850.3603, usercpu_time_millis: 92.075, usercpu_time_millis_testing: 1.221, usercpu_time_millis_training: 90.854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.9341, kappa: 0.8349, kb_relative_information_score: 19657.3614, mean_absolute_error: 0.1999, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.938, predictive_accuracy: 0.936, prior_entropy: 0.863, recall: 0.936, relative_absolute_error: 0.4897, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2571, root_relative_squared_error: 0.5692, scimark_benchmark: 1827.8179, usercpu_time_millis: 122.353, usercpu_time_millis_testing: 9.746, usercpu_time_millis_training: 112.607,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.9233, kappa: 0.8082, kb_relative_information_score: 21250.4442, mean_absolute_error: 0.1703, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9254, predictive_accuracy: 0.9251, prior_entropy: 0.863, recall: 0.9251, relative_absolute_error: 0.4172, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2493, root_relative_squared_error: 0.5519, scimark_benchmark: 1840.6995, usercpu_time_millis: 203.564, usercpu_time_millis_testing: 8.246, usercpu_time_millis_training: 195.318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9568, kappa: 0.8939, kb_relative_information_score: 28147.2137, mean_absolute_error: 0.0788, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9567, predictive_accuracy: 0.9569, prior_entropy: 0.863, recall: 0.9569, relative_absolute_error: 0.193, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1841, root_relative_squared_error: 0.4077, scimark_benchmark: 1843.657, usercpu_time_millis: 235.977, usercpu_time_millis_testing: 2.283, usercpu_time_millis_training: 233.694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.9595, kappa: 0.9003, kb_relative_information_score: 28491.6918, mean_absolute_error: 0.075, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9594, predictive_accuracy: 0.9596, prior_entropy: 0.863, recall: 0.9596, relative_absolute_error: 0.1838, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1777, root_relative_squared_error: 0.3934, scimark_benchmark: 1853.454, usercpu_time_millis: 237.104, usercpu_time_millis_testing: 2.926, usercpu_time_millis_training: 234.178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.984, f_measure: 0.938, kappa: 0.8468, kb_relative_information_score: 26026.3166, mean_absolute_error: 0.1039, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9382, predictive_accuracy: 0.9387, prior_entropy: 0.863, recall: 0.9387, relative_absolute_error: 0.2547, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2127, root_relative_squared_error: 0.471, scimark_benchmark: 1822.3184, usercpu_time_millis: 269.935, usercpu_time_millis_testing: 2.627, usercpu_time_millis_training: 267.308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.946, kappa: 0.867, kb_relative_information_score: 26768.3131, mean_absolute_error: 0.0957, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9459, predictive_accuracy: 0.9463, prior_entropy: 0.863, recall: 0.9463, relative_absolute_error: 0.2346, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2035, root_relative_squared_error: 0.4505, scimark_benchmark: 1825.7178, usercpu_time_millis: 280.802, usercpu_time_millis_testing: 3.2, usercpu_time_millis_training: 277.602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9484, f_measure: 0.8693, kappa: 0.6813, kb_relative_information_score: 17385.124, mean_absolute_error: 0.2083, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8701, predictive_accuracy: 0.8687, prior_entropy: 0.863, recall: 0.8687, relative_absolute_error: 0.5103, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3041, root_relative_squared_error: 0.6732, scimark_benchmark: 1845.779, usercpu_time_millis: 313.498, usercpu_time_millis_testing: 3.774, usercpu_time_millis_training: 309.724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9758, f_measure: 0.9171, kappa: 0.7914, kb_relative_information_score: 24360.0726, mean_absolute_error: 0.124, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9221, predictive_accuracy: 0.9199, prior_entropy: 0.863, recall: 0.9199, relative_absolute_error: 0.3038, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2354, root_relative_squared_error: 0.5212, scimark_benchmark: 1855.0232, usercpu_time_millis: 309.117, usercpu_time_millis_testing: 1.709, usercpu_time_millis_training: 307.408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.954, kappa: 0.8871, kb_relative_information_score: 27848.0334, mean_absolute_error: 0.082, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9539, predictive_accuracy: 0.954, prior_entropy: 0.863, recall: 0.954, relative_absolute_error: 0.2011, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1894, root_relative_squared_error: 0.4192, scimark_benchmark: 1839.5885, usercpu_time_millis: 314.835, usercpu_time_millis_testing: 1.726, usercpu_time_millis_training: 313.109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.9594, kappa: 0.9004, kb_relative_information_score: 28685.5981, mean_absolute_error: 0.0718, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9593, predictive_accuracy: 0.9594, prior_entropy: 0.863, recall: 0.9594, relative_absolute_error: 0.1759, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1772, root_relative_squared_error: 0.3923, scimark_benchmark: 1815.0712, usercpu_time_millis: 268.065, usercpu_time_millis_testing: 1.404, usercpu_time_millis_training: 266.661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.984, f_measure: 0.9458, kappa: 0.8666, kb_relative_information_score: 26912.373, mean_absolute_error: 0.0926, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9457, predictive_accuracy: 0.9459, prior_entropy: 0.863, recall: 0.9459, relative_absolute_error: 0.227, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2049, root_relative_squared_error: 0.4537, scimark_benchmark: 1853.3841, usercpu_time_millis: 5.183, usercpu_time_millis_testing: 0.333, usercpu_time_millis_training: 4.85,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.921, f_measure: 0.8581, kappa: 0.6514, kb_relative_information_score: 15170.5636, mean_absolute_error: 0.2404, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8578, predictive_accuracy: 0.8585, prior_entropy: 0.863, recall: 0.8585, relative_absolute_error: 0.5891, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3304, root_relative_squared_error: 0.7315, scimark_benchmark: 1849.3014, usercpu_time_millis: 8.491, usercpu_time_millis_testing: 0.447, usercpu_time_millis_training: 8.044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.5954, kb_relative_information_score: -9.6388, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1853.9121, usercpu_time_millis: 30.115, usercpu_time_millis_testing: 3.197, usercpu_time_millis_training: 26.918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.9306, kappa: 0.8258, kb_relative_information_score: 19352.5419, mean_absolute_error: 0.203, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9349, predictive_accuracy: 0.9327, prior_entropy: 0.863, recall: 0.9327, relative_absolute_error: 0.4974, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.261, root_relative_squared_error: 0.5778, scimark_benchmark: 1850.2875, usercpu_time_millis: 31.384, usercpu_time_millis_testing: 1.683, usercpu_time_millis_training: 29.701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.2427, mean_absolute_error: 0.408, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1823.8876, usercpu_time_millis: 23.448, usercpu_time_millis_testing: 1.327, usercpu_time_millis_training: 22.121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -4.0297, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1830.7134, usercpu_time_millis: 27.963, usercpu_time_millis_testing: 1.304, usercpu_time_millis_training: 26.659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: 0.5738, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1738.1232, usercpu_time_millis: 50.867, usercpu_time_millis_testing: 4.703, usercpu_time_millis_training: 46.164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.5954, kb_relative_information_score: -5.519, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1826.8288, usercpu_time_millis: 33.194, usercpu_time_millis_testing: 4.096, usercpu_time_millis_training: 29.098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.913, f_measure: 0.8593, kappa: 0.654, kb_relative_information_score: 15109.6663, mean_absolute_error: 0.2414, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8589, predictive_accuracy: 0.8597, prior_entropy: 0.863, recall: 0.8597, relative_absolute_error: 0.5915, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.33, root_relative_squared_error: 0.7305, scimark_benchmark: 1814.9299, usercpu_time_millis: 6.088, usercpu_time_millis_testing: 0.373, usercpu_time_millis_training: 5.715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -3.0055, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1846.6923, usercpu_time_millis: 48.129, usercpu_time_millis_testing: 6.481, usercpu_time_millis_training: 41.648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.8033, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1826.2487, usercpu_time_millis: 64.617, usercpu_time_millis_testing: 5.402, usercpu_time_millis_training: 59.215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.9358, kappa: 0.8409, kb_relative_information_score: 26035.9821, mean_absolute_error: 0.1026, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9361, predictive_accuracy: 0.9366, prior_entropy: 0.863, recall: 0.9366, relative_absolute_error: 0.2513, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2156, root_relative_squared_error: 0.4772, scimark_benchmark: 1815.593, usercpu_time_millis: 75.083, usercpu_time_millis_testing: 0.658, usercpu_time_millis_training: 74.425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9685, kappa: 0.9227, kb_relative_information_score: 29908.2627, mean_absolute_error: 0.0569, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9685, predictive_accuracy: 0.9686, prior_entropy: 0.863, recall: 0.9686, relative_absolute_error: 0.1394, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1588, root_relative_squared_error: 0.3516, scimark_benchmark: 1846.727, usercpu_time_millis: 112.126, usercpu_time_millis_testing: 0.95, usercpu_time_millis_training: 111.176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.967, kappa: 0.919, kb_relative_information_score: 29805.4305, mean_absolute_error: 0.0584, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.967, predictive_accuracy: 0.967, prior_entropy: 0.863, recall: 0.967, relative_absolute_error: 0.143, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1595, root_relative_squared_error: 0.3531, scimark_benchmark: 1813.848, usercpu_time_millis: 114.842, usercpu_time_millis_testing: 1.306, usercpu_time_millis_training: 113.536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.9398, kappa: 0.8505, kb_relative_information_score: 23098.4415, mean_absolute_error: 0.149, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9404, predictive_accuracy: 0.9406, prior_entropy: 0.863, recall: 0.9406, relative_absolute_error: 0.3651, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2285, root_relative_squared_error: 0.5058, scimark_benchmark: 1837.6484, usercpu_time_millis: 236.211, usercpu_time_millis_testing: 12.691, usercpu_time_millis_training: 223.52,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9397, f_measure: 0.8683, kappa: 0.6792, kb_relative_information_score: 17513.6537, mean_absolute_error: 0.2054, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8693, predictive_accuracy: 0.8675, prior_entropy: 0.863, recall: 0.8675, relative_absolute_error: 0.5034, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3072, root_relative_squared_error: 0.6801, scimark_benchmark: 1849.8294, usercpu_time_millis: 349.944, usercpu_time_millis_testing: 7.875, usercpu_time_millis_training: 342.069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, f_measure: 0.9365, kappa: 0.8426, kb_relative_information_score: 25622.9422, mean_absolute_error: 0.1091, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9369, predictive_accuracy: 0.9373, prior_entropy: 0.863, recall: 0.9373, relative_absolute_error: 0.2673, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2185, root_relative_squared_error: 0.4836, scimark_benchmark: 1829.1442, usercpu_time_millis: 346.003, usercpu_time_millis_testing: 5.863, usercpu_time_millis_training: 340.14,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.9437, kappa: 0.8612, kb_relative_information_score: 26247.3823, mean_absolute_error: 0.1022, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9436, predictive_accuracy: 0.944, prior_entropy: 0.863, recall: 0.944, relative_absolute_error: 0.2505, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.207, root_relative_squared_error: 0.4582, scimark_benchmark: 1796.0572, usercpu_time_millis: 320.896, usercpu_time_millis_testing: 4.839, usercpu_time_millis_training: 316.057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9457, kappa: 0.8661, kb_relative_information_score: 26382.4302, mean_absolute_error: 0.1011, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9456, predictive_accuracy: 0.946, prior_entropy: 0.863, recall: 0.946, relative_absolute_error: 0.2478, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2042, root_relative_squared_error: 0.452, scimark_benchmark: 1846.6923, usercpu_time_millis: 344.371, usercpu_time_millis_testing: 5.44, usercpu_time_millis_training: 338.931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9695, f_measure: 0.9011, kappa: 0.7538, kb_relative_information_score: 19116.3601, mean_absolute_error: 0.194, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9017, predictive_accuracy: 0.903, prior_entropy: 0.863, recall: 0.903, relative_absolute_error: 0.4754, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2713, root_relative_squared_error: 0.6005, scimark_benchmark: 1830.1853, usercpu_time_millis: 341.491, usercpu_time_millis_testing: 9.168, usercpu_time_millis_training: 332.323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9565, f_measure: 0.8721, kappa: 0.6875, kb_relative_information_score: 17490.164, mean_absolute_error: 0.209, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8725, predictive_accuracy: 0.8717, prior_entropy: 0.863, recall: 0.8717, relative_absolute_error: 0.5121, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2986, root_relative_squared_error: 0.6611, scimark_benchmark: 1857.1082, usercpu_time_millis: 321.231, usercpu_time_millis_testing: 6.558, usercpu_time_millis_training: 314.673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.9442, kappa: 0.8625, kb_relative_information_score: 26342.5729, mean_absolute_error: 0.1012, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9441, predictive_accuracy: 0.9445, prior_entropy: 0.863, recall: 0.9445, relative_absolute_error: 0.248, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2056, root_relative_squared_error: 0.4552, scimark_benchmark: 1823.2473, usercpu_time_millis: 357.274, usercpu_time_millis_testing: 6.671, usercpu_time_millis_training: 350.603,

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