OpenML
Supervised Classification on ozone-level-8hr

Supervised Classification on ozone-level-8hr

Task 145855 Supervised Classification ozone-level-8hr 90654 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.911, f_measure: 0.909, kappa: 0.0336, kb_relative_information_score: -668.2992, mean_absolute_error: 0.0969, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9261, predictive_accuracy: 0.9376, prior_entropy: 0.3411, recall: 0.9376, relative_absolute_error: 0.8173, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2119, root_relative_squared_error: 0.8714, scimark_benchmark: 1862.478, usercpu_time_millis: 15.371, usercpu_time_millis_testing: 1.573, usercpu_time_millis_training: 13.798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8517, f_measure: 0.9063, kb_relative_information_score: -1184.097, mean_absolute_error: 0.1097, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9253, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2302, root_relative_squared_error: 0.9466, scimark_benchmark: 2054.4077, usercpu_time_millis: 6.232, usercpu_time_millis_testing: 0.657, usercpu_time_millis_training: 5.575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.9063, kb_relative_information_score: -6.7075, mean_absolute_error: 0.1183, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9972, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1855.7107, usercpu_time_millis: 1.664, usercpu_time_millis_testing: 0.214, usercpu_time_millis_training: 1.45,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8214, f_measure: 0.9063, kb_relative_information_score: -1455.9701, mean_absolute_error: 0.1094, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9223, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2314, root_relative_squared_error: 0.9515, scimark_benchmark: 1823.3328, usercpu_time_millis: 24.217, usercpu_time_millis_testing: 0.634, usercpu_time_millis_training: 23.583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8283, f_measure: 0.9063, kb_relative_information_score: -1420.4501, mean_absolute_error: 0.1094, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9224, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2307, root_relative_squared_error: 0.9486, scimark_benchmark: 1735.3254, usercpu_time_millis: 2.429, usercpu_time_millis_testing: 0.14, usercpu_time_millis_training: 2.289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9124, f_measure: 0.9286, kappa: 0.2912, kb_relative_information_score: -591.9183, mean_absolute_error: 0.0896, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9298, predictive_accuracy: 0.9428, prior_entropy: 0.3411, recall: 0.9428, relative_absolute_error: 0.7557, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2061, root_relative_squared_error: 0.8473, scimark_benchmark: 1826.4233, usercpu_time_millis: 44.813, usercpu_time_millis_testing: 1.212, usercpu_time_millis_training: 43.601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8233, f_measure: 0.9063, kb_relative_information_score: -1123.8706, mean_absolute_error: 0.1092, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9203, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2303, root_relative_squared_error: 0.9471, scimark_benchmark: 1716.4902, usercpu_time_millis: 4.053, usercpu_time_millis_testing: 0.178, usercpu_time_millis_training: 3.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8671, f_measure: 0.9063, kb_relative_information_score: -1199.839, mean_absolute_error: 0.1055, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.8893, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.224, root_relative_squared_error: 0.9211, scimark_benchmark: 1847.2793, usercpu_time_millis: 12.301, usercpu_time_millis_testing: 0.428, usercpu_time_millis_training: 11.873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.9063, kb_relative_information_score: 3.2391, mean_absolute_error: 0.1183, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9975, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1846.8212, usercpu_time_millis: 4.278, usercpu_time_millis_testing: 0.625, usercpu_time_millis_training: 3.653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8963, f_measure: 0.9145, kappa: 0.0992, kb_relative_information_score: -834.9518, mean_absolute_error: 0.0962, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9376, predictive_accuracy: 0.94, prior_entropy: 0.3411, recall: 0.94, relative_absolute_error: 0.8111, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2131, root_relative_squared_error: 0.8763, scimark_benchmark: 1842.1882, usercpu_time_millis: 62.375, usercpu_time_millis_testing: 1.194, usercpu_time_millis_training: 61.181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9051, f_measure: 0.9262, kappa: 0.2497, kb_relative_information_score: -763.546, mean_absolute_error: 0.0939, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9335, predictive_accuracy: 0.9436, prior_entropy: 0.3411, recall: 0.9436, relative_absolute_error: 0.7918, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2082, root_relative_squared_error: 0.8561, scimark_benchmark: 1848.321, usercpu_time_millis: 59.552, usercpu_time_millis_testing: 0.955, usercpu_time_millis_training: 58.597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9094, f_measure: 0.9283, kappa: 0.2893, kb_relative_information_score: -636.5024, mean_absolute_error: 0.0902, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.929, predictive_accuracy: 0.9424, prior_entropy: 0.3411, recall: 0.9424, relative_absolute_error: 0.7604, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2069, root_relative_squared_error: 0.8509, scimark_benchmark: 1844.8764, usercpu_time_millis: 51.736, usercpu_time_millis_testing: 1.049, usercpu_time_millis_training: 50.687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9105, f_measure: 0.9242, kappa: 0.225, kb_relative_information_score: -627.8524, mean_absolute_error: 0.0928, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9324, predictive_accuracy: 0.9428, prior_entropy: 0.3411, recall: 0.9428, relative_absolute_error: 0.7825, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2073, root_relative_squared_error: 0.8522, scimark_benchmark: 1842.7105, usercpu_time_millis: 8.426, usercpu_time_millis_testing: 0.348, usercpu_time_millis_training: 8.078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8186, f_measure: 0.9063, kb_relative_information_score: -1006.7017, mean_absolute_error: 0.1096, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9244, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.231, root_relative_squared_error: 0.9496, scimark_benchmark: 1840.2451, usercpu_time_millis: 10.983, usercpu_time_millis_testing: 0.66, usercpu_time_millis_training: 10.323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8868, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -1068.1843, mean_absolute_error: 0.101, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9365, prior_entropy: 0.3411, recall: 0.9365, relative_absolute_error: 0.8514, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.22, root_relative_squared_error: 0.9043, scimark_benchmark: 1714.9298, usercpu_time_millis: 34.842, usercpu_time_millis_testing: 1.113, usercpu_time_millis_training: 33.729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8832, f_measure: 0.9071, kappa: 0.0108, kb_relative_information_score: -1093.0445, mean_absolute_error: 0.1009, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9096, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.851, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2187, root_relative_squared_error: 0.899, scimark_benchmark: 1844.2676, usercpu_time_millis: 143.009, usercpu_time_millis_testing: 1.046, usercpu_time_millis_training: 141.963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8951, f_measure: 0.9223, kappa: 0.2093, kb_relative_information_score: -768.0722, mean_absolute_error: 0.0934, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.926, predictive_accuracy: 0.9408, prior_entropy: 0.3411, recall: 0.9408, relative_absolute_error: 0.7876, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2112, root_relative_squared_error: 0.8682, scimark_benchmark: 1809.3271, usercpu_time_millis: 96.125, usercpu_time_millis_testing: 0.758, usercpu_time_millis_training: 95.367,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9172, f_measure: 0.9235, kappa: 0.2119, kb_relative_information_score: -598.9464, mean_absolute_error: 0.0927, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9359, predictive_accuracy: 0.9432, prior_entropy: 0.3411, recall: 0.9432, relative_absolute_error: 0.7818, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.207, root_relative_squared_error: 0.851, scimark_benchmark: 2076.4539, usercpu_time_millis: 9.595, usercpu_time_millis_testing: 0.65, usercpu_time_millis_training: 8.945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8689, f_measure: 0.9063, kb_relative_information_score: -1013.2968, mean_absolute_error: 0.1089, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9178, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2284, root_relative_squared_error: 0.939, scimark_benchmark: 1848.2539, usercpu_time_millis: 7.654, usercpu_time_millis_testing: 0.884, usercpu_time_millis_training: 6.77,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9074, f_measure: 0.9278, kappa: 0.2788, kb_relative_information_score: -701.8826, mean_absolute_error: 0.0913, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9299, predictive_accuracy: 0.9428, prior_entropy: 0.3411, recall: 0.9428, relative_absolute_error: 0.7695, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2074, root_relative_squared_error: 0.8529, scimark_benchmark: 1839.9081, usercpu_time_millis: 107.2, usercpu_time_millis_testing: 1.452, usercpu_time_millis_training: 105.748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9025, f_measure: 0.9073, kappa: 0.0116, kb_relative_information_score: -740.6755, mean_absolute_error: 0.0998, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9412, predictive_accuracy: 0.9373, prior_entropy: 0.3411, recall: 0.9373, relative_absolute_error: 0.8411, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2162, root_relative_squared_error: 0.8887, scimark_benchmark: 1840.1276, usercpu_time_millis: 3.364, usercpu_time_millis_testing: 0.517, usercpu_time_millis_training: 2.847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.9063, kb_relative_information_score: 3.6718, mean_absolute_error: 0.1183, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9973, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1848.321, usercpu_time_millis: 1.51, usercpu_time_millis_testing: 0.274, usercpu_time_millis_training: 1.236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9037, f_measure: 0.9239, kappa: 0.2232, kb_relative_information_score: -773.1399, mean_absolute_error: 0.0944, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9309, predictive_accuracy: 0.9424, prior_entropy: 0.3411, recall: 0.9424, relative_absolute_error: 0.796, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2087, root_relative_squared_error: 0.8582, scimark_benchmark: 1716.0319, usercpu_time_millis: 83.296, usercpu_time_millis_testing: 1.22, usercpu_time_millis_training: 82.076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9157, f_measure: 0.9205, kappa: 0.1758, kb_relative_information_score: -626.2654, mean_absolute_error: 0.0936, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9347, predictive_accuracy: 0.942, prior_entropy: 0.3411, recall: 0.942, relative_absolute_error: 0.7891, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2083, root_relative_squared_error: 0.8564, scimark_benchmark: 2147.7232, usercpu_time_millis: 9.645, usercpu_time_millis_testing: 0.65, usercpu_time_millis_training: 8.995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, f_measure: 0.9063, kb_relative_information_score: 3.9577, mean_absolute_error: 0.1183, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9971, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1849.7595, usercpu_time_millis: 1.598, usercpu_time_millis_testing: 0.211, usercpu_time_millis_training: 1.387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8928, f_measure: 0.9097, kappa: 0.0438, kb_relative_information_score: -883.0435, mean_absolute_error: 0.0966, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9211, predictive_accuracy: 0.9376, prior_entropy: 0.3411, recall: 0.9376, relative_absolute_error: 0.8144, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.215, root_relative_squared_error: 0.8842, scimark_benchmark: 1844.7928, usercpu_time_millis: 51.232, usercpu_time_millis_testing: 0.94, usercpu_time_millis_training: 50.292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, f_measure: 0.9063, kb_relative_information_score: 3.9194, mean_absolute_error: 0.1183, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9971, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1844.1673, usercpu_time_millis: 2.942, usercpu_time_millis_testing: 0.498, usercpu_time_millis_training: 2.444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, f_measure: 0.9063, kb_relative_information_score: 3.9334, mean_absolute_error: 0.1183, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9971, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1850.8706, usercpu_time_millis: 3.339, usercpu_time_millis_testing: 0.572, usercpu_time_millis_training: 2.767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8759, f_measure: 0.9063, kb_relative_information_score: -1155.8018, mean_absolute_error: 0.1062, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.8956, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2256, root_relative_squared_error: 0.9274, scimark_benchmark: 1849.8902, usercpu_time_millis: 4.198, usercpu_time_millis_testing: 0.301, usercpu_time_millis_training: 3.897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9122, f_measure: 0.9108, kappa: 0.0559, kb_relative_information_score: -683.2141, mean_absolute_error: 0.097, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.932, predictive_accuracy: 0.9384, prior_entropy: 0.3411, recall: 0.9384, relative_absolute_error: 0.8177, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2122, root_relative_squared_error: 0.8725, scimark_benchmark: 1851.3986, usercpu_time_millis: 9.459, usercpu_time_millis_testing: 0.882, usercpu_time_millis_training: 8.577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8278, f_measure: 0.9063, kb_relative_information_score: -1107.6667, mean_absolute_error: 0.1115, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9401, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2328, root_relative_squared_error: 0.9572, scimark_benchmark: 1846.6923, usercpu_time_millis: 3.329, usercpu_time_millis_testing: 0.468, usercpu_time_millis_training: 2.861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8389, f_measure: 0.9063, kb_relative_information_score: -826.1284, mean_absolute_error: 0.113, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9525, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2345, root_relative_squared_error: 0.9641, scimark_benchmark: 2021.9638, usercpu_time_millis: 2.775, usercpu_time_millis_testing: 0.385, usercpu_time_millis_training: 2.39,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8841, f_measure: 0.9063, kb_relative_information_score: -987.3823, mean_absolute_error: 0.1049, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.8846, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2229, root_relative_squared_error: 0.9166, scimark_benchmark: 1836.6415, usercpu_time_millis: 3.907, usercpu_time_millis_testing: 0.407, usercpu_time_millis_training: 3.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8553, f_measure: 0.9063, kb_relative_information_score: -1115.7988, mean_absolute_error: 0.1103, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9296, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2308, root_relative_squared_error: 0.9488, scimark_benchmark: 1843.7454, usercpu_time_millis: 5.002, usercpu_time_millis_testing: 0.513, usercpu_time_millis_training: 4.489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8768, f_measure: 0.9063, kb_relative_information_score: -1151.0172, mean_absolute_error: 0.1063, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.8966, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2257, root_relative_squared_error: 0.9281, scimark_benchmark: 2018.7952, usercpu_time_millis: 2.903, usercpu_time_millis_testing: 0.211, usercpu_time_millis_training: 2.692,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.913, f_measure: 0.9266, kappa: 0.2482, kb_relative_information_score: -639.2441, mean_absolute_error: 0.0928, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.939, predictive_accuracy: 0.9448, prior_entropy: 0.3411, recall: 0.9448, relative_absolute_error: 0.782, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2063, root_relative_squared_error: 0.848, scimark_benchmark: 1845.3208, usercpu_time_millis: 32.657, usercpu_time_millis_testing: 1.291, usercpu_time_millis_training: 31.366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9163, f_measure: 0.9275, kappa: 0.277, kb_relative_information_score: -561.5229, mean_absolute_error: 0.0897, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.929, predictive_accuracy: 0.9424, prior_entropy: 0.3411, recall: 0.9424, relative_absolute_error: 0.7561, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.205, root_relative_squared_error: 0.843, scimark_benchmark: 2113.6148, usercpu_time_millis: 26.58, usercpu_time_millis_testing: 0.932, usercpu_time_millis_training: 25.648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9115, f_measure: 0.9255, kappa: 0.2374, kb_relative_information_score: -656.7763, mean_absolute_error: 0.0934, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9365, predictive_accuracy: 0.944, prior_entropy: 0.3411, recall: 0.944, relative_absolute_error: 0.7877, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2072, root_relative_squared_error: 0.8521, scimark_benchmark: 1847.8629, usercpu_time_millis: 16.752, usercpu_time_millis_testing: 0.675, usercpu_time_millis_training: 16.077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8957, f_measure: 0.9157, kappa: 0.1175, kb_relative_information_score: -946.8608, mean_absolute_error: 0.1, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9311, predictive_accuracy: 0.94, prior_entropy: 0.3411, recall: 0.94, relative_absolute_error: 0.8433, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2133, root_relative_squared_error: 0.8768, scimark_benchmark: 1840.2451, usercpu_time_millis: 15.417, usercpu_time_millis_testing: 0.689, usercpu_time_millis_training: 14.728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8822, f_measure: 0.9095, kappa: 0.0428, kb_relative_information_score: -1053.0562, mean_absolute_error: 0.1019, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9151, predictive_accuracy: 0.9373, prior_entropy: 0.3411, recall: 0.9373, relative_absolute_error: 0.8592, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2167, root_relative_squared_error: 0.8911, scimark_benchmark: 2020.6045, usercpu_time_millis: 23.641, usercpu_time_millis_testing: 0.75, usercpu_time_millis_training: 22.891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9146, f_measure: 0.9284, kappa: 0.2754, kb_relative_information_score: -583.2866, mean_absolute_error: 0.0906, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9359, predictive_accuracy: 0.9448, prior_entropy: 0.3411, recall: 0.9448, relative_absolute_error: 0.7639, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2054, root_relative_squared_error: 0.8444, scimark_benchmark: 1847.2753, usercpu_time_millis: 28.388, usercpu_time_millis_testing: 0.982, usercpu_time_millis_training: 27.406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9088, f_measure: 0.9229, kappa: 0.2085, kb_relative_information_score: -748.9828, mean_absolute_error: 0.0951, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9323, predictive_accuracy: 0.9424, prior_entropy: 0.3411, recall: 0.9424, relative_absolute_error: 0.8015, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2083, root_relative_squared_error: 0.8564, scimark_benchmark: 1841.2811, usercpu_time_millis: 22.196, usercpu_time_millis_testing: 0.742, usercpu_time_millis_training: 21.454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9048, f_measure: 0.923, kappa: 0.2043, kb_relative_information_score: -756.255, mean_absolute_error: 0.0953, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9372, predictive_accuracy: 0.9432, prior_entropy: 0.3411, recall: 0.9432, relative_absolute_error: 0.8034, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.209, root_relative_squared_error: 0.8591, scimark_benchmark: 1848.916, usercpu_time_millis: 28.564, usercpu_time_millis_testing: 0.954, usercpu_time_millis_training: 27.61,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8705, f_measure: 0.9063, kb_relative_information_score: -1180.9148, mean_absolute_error: 0.1062, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.8955, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2254, root_relative_squared_error: 0.9268, scimark_benchmark: 1846.3057, usercpu_time_millis: 6.649, usercpu_time_millis_testing: 0.366, usercpu_time_millis_training: 6.283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8375, f_measure: 0.9063, kb_relative_information_score: -1497.9569, mean_absolute_error: 0.1086, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9158, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2301, root_relative_squared_error: 0.946, scimark_benchmark: 1836.1651, usercpu_time_millis: 20.669, usercpu_time_millis_testing: 0.405, usercpu_time_millis_training: 20.264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8774, f_measure: 0.9206, kappa: 0.1806, kb_relative_information_score: -1056.963, mean_absolute_error: 0.0988, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9293, predictive_accuracy: 0.9412, prior_entropy: 0.3411, recall: 0.9412, relative_absolute_error: 0.833, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2144, root_relative_squared_error: 0.8814, scimark_benchmark: 2114.9301, usercpu_time_millis: 1.199, usercpu_time_millis_testing: 0.054, usercpu_time_millis_training: 1.145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8913, f_measure: 0.9211, kappa: 0.1838, kb_relative_information_score: -981.8719, mean_absolute_error: 0.099, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9333, predictive_accuracy: 0.942, prior_entropy: 0.3411, recall: 0.942, relative_absolute_error: 0.8347, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2127, root_relative_squared_error: 0.8746, scimark_benchmark: 1853.3841, usercpu_time_millis: 11.747, usercpu_time_millis_testing: 0.18, usercpu_time_millis_training: 11.567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9119, f_measure: 0.9283, kappa: 0.2781, kb_relative_information_score: -579.6388, mean_absolute_error: 0.0903, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9331, predictive_accuracy: 0.944, prior_entropy: 0.3411, recall: 0.944, relative_absolute_error: 0.7613, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2059, root_relative_squared_error: 0.8465, scimark_benchmark: 1853.9121, usercpu_time_millis: 14.938, usercpu_time_millis_testing: 0.488, usercpu_time_millis_training: 14.45,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8395, f_measure: 0.9063, kb_relative_information_score: -1424.2161, mean_absolute_error: 0.1088, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9176, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2301, root_relative_squared_error: 0.9459, scimark_benchmark: 1842.7105, usercpu_time_millis: 3.837, usercpu_time_millis_testing: 0.284, usercpu_time_millis_training: 3.553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9162, f_measure: 0.9255, kappa: 0.2374, kb_relative_information_score: -602.6525, mean_absolute_error: 0.0923, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9365, predictive_accuracy: 0.944, prior_entropy: 0.3411, recall: 0.944, relative_absolute_error: 0.7778, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2063, root_relative_squared_error: 0.8481, scimark_benchmark: 1857.0384, usercpu_time_millis: 11.425, usercpu_time_millis_testing: 0.71, usercpu_time_millis_training: 10.715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8994, f_measure: 0.9203, kappa: 0.1742, kb_relative_information_score: -874.9461, mean_absolute_error: 0.0973, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9323, predictive_accuracy: 0.9416, prior_entropy: 0.3411, recall: 0.9416, relative_absolute_error: 0.8203, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2105, root_relative_squared_error: 0.8653, scimark_benchmark: 1852.9988, usercpu_time_millis: 8.958, usercpu_time_millis_testing: 0.201, usercpu_time_millis_training: 8.757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8404, f_measure: 0.9063, kb_relative_information_score: -1404.2161, mean_absolute_error: 0.1081, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9118, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2284, root_relative_squared_error: 0.939, scimark_benchmark: 2102.1117, usercpu_time_millis: 12.599, usercpu_time_millis_testing: 0.196, usercpu_time_millis_training: 12.403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9003, f_measure: 0.9277, kappa: 0.2744, kb_relative_information_score: -701.2083, mean_absolute_error: 0.0915, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.931, predictive_accuracy: 0.9432, prior_entropy: 0.3411, recall: 0.9432, relative_absolute_error: 0.7712, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2081, root_relative_squared_error: 0.8557, scimark_benchmark: 1837.7222, usercpu_time_millis: 1.79, usercpu_time_millis_testing: 0.087, usercpu_time_millis_training: 1.703,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8037, f_measure: 0.9063, kb_relative_information_score: -1649.76, mean_absolute_error: 0.1103, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9302, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2339, root_relative_squared_error: 0.9618, scimark_benchmark: 1826.6366, usercpu_time_millis: 24.817, usercpu_time_millis_testing: 0.891, usercpu_time_millis_training: 23.926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8141, f_measure: 0.9063, kb_relative_information_score: -1680.8994, mean_absolute_error: 0.1102, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9288, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2332, root_relative_squared_error: 0.959, scimark_benchmark: 1843.6938, usercpu_time_millis: 30.509, usercpu_time_millis_testing: 0.939, usercpu_time_millis_training: 29.57,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8894, f_measure: 0.9078, kappa: 0.0214, kb_relative_information_score: -958.2916, mean_absolute_error: 0.0981, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9099, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.8272, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2174, root_relative_squared_error: 0.8938, scimark_benchmark: 1850.4554, usercpu_time_millis: 20.287, usercpu_time_millis_testing: 0.405, usercpu_time_millis_training: 19.882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9037, f_measure: 0.9298, kappa: 0.3089, kb_relative_information_score: -687.3205, mean_absolute_error: 0.0906, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9298, predictive_accuracy: 0.9428, prior_entropy: 0.3411, recall: 0.9428, relative_absolute_error: 0.7635, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2085, root_relative_squared_error: 0.8575, scimark_benchmark: 1840.3077, usercpu_time_millis: 69.632, usercpu_time_millis_testing: 1.033, usercpu_time_millis_training: 68.599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.905, f_measure: 0.9249, kappa: 0.2374, kb_relative_information_score: -767.7953, mean_absolute_error: 0.0936, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9301, predictive_accuracy: 0.9424, prior_entropy: 0.3411, recall: 0.9424, relative_absolute_error: 0.7892, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2078, root_relative_squared_error: 0.8546, scimark_benchmark: 1849.7595, usercpu_time_millis: 59.088, usercpu_time_millis_testing: 0.74, usercpu_time_millis_training: 58.348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.881, f_measure: 0.9133, kappa: 0.0873, kb_relative_information_score: -1083.2852, mean_absolute_error: 0.1021, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.931, predictive_accuracy: 0.9392, prior_entropy: 0.3411, recall: 0.9392, relative_absolute_error: 0.8611, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2161, root_relative_squared_error: 0.8884, scimark_benchmark: 1838.8902, usercpu_time_millis: 16.828, usercpu_time_millis_testing: 0.545, usercpu_time_millis_training: 16.283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8721, f_measure: 0.9063, kb_relative_information_score: -1175.5726, mean_absolute_error: 0.1033, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.8713, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2235, root_relative_squared_error: 0.9189, scimark_benchmark: 1855.5541, usercpu_time_millis: 24.716, usercpu_time_millis_testing: 0.543, usercpu_time_millis_training: 24.173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9014, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -842.5541, mean_absolute_error: 0.0993, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9205, predictive_accuracy: 0.9373, prior_entropy: 0.3411, recall: 0.9373, relative_absolute_error: 0.8369, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2145, root_relative_squared_error: 0.8819, scimark_benchmark: 1852.4707, usercpu_time_millis: 7.465, usercpu_time_millis_testing: 0.589, usercpu_time_millis_training: 6.876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9043, f_measure: 0.9211, kappa: 0.1838, kb_relative_information_score: -699.3866, mean_absolute_error: 0.0941, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9333, predictive_accuracy: 0.942, prior_entropy: 0.3411, recall: 0.942, relative_absolute_error: 0.7935, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2097, root_relative_squared_error: 0.8621, scimark_benchmark: 1836.6789, usercpu_time_millis: 34.712, usercpu_time_millis_testing: 1.145, usercpu_time_millis_training: 33.567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8788, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -1117.0754, mean_absolute_error: 0.1026, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9205, predictive_accuracy: 0.9373, prior_entropy: 0.3411, recall: 0.9373, relative_absolute_error: 0.8653, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2186, root_relative_squared_error: 0.8989, scimark_benchmark: 1840.7617, usercpu_time_millis: 36.976, usercpu_time_millis_testing: 0.837, usercpu_time_millis_training: 36.139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9105, f_measure: 0.9297, kappa: 0.305, kb_relative_information_score: -604.8817, mean_absolute_error: 0.0894, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9306, predictive_accuracy: 0.9432, prior_entropy: 0.3411, recall: 0.9432, relative_absolute_error: 0.7534, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2062, root_relative_squared_error: 0.8476, scimark_benchmark: 1849.3014, usercpu_time_millis: 29.213, usercpu_time_millis_testing: 0.858, usercpu_time_millis_training: 28.355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8821, f_measure: 0.9122, kappa: 0.0755, kb_relative_information_score: -1072.0277, mean_absolute_error: 0.1021, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9243, predictive_accuracy: 0.9384, prior_entropy: 0.3411, recall: 0.9384, relative_absolute_error: 0.8606, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2159, root_relative_squared_error: 0.8878, scimark_benchmark: 1845.2509, usercpu_time_millis: 23.855, usercpu_time_millis_testing: 0.841, usercpu_time_millis_training: 23.014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9067, f_measure: 0.9175, kappa: 0.1378, kb_relative_information_score: -715.9675, mean_absolute_error: 0.0965, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9335, predictive_accuracy: 0.9408, prior_entropy: 0.3411, recall: 0.9408, relative_absolute_error: 0.8137, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2102, root_relative_squared_error: 0.8642, scimark_benchmark: 1843.7454, usercpu_time_millis: 14.726, usercpu_time_millis_testing: 1.268, usercpu_time_millis_training: 13.458,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.9063, kb_relative_information_score: 1.7655, mean_absolute_error: 0.1183, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9975, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1848.7762, usercpu_time_millis: 3.732, usercpu_time_millis_testing: 0.54, usercpu_time_millis_training: 3.192,

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