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: 0.8281, f_measure: 0.9063, kb_relative_information_score: -1446.5703, 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: 0.9179, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2295, root_relative_squared_error: 0.9437, scimark_benchmark: 1725.723, usercpu_time_millis: 19.97, usercpu_time_millis_testing: 0.269, usercpu_time_millis_training: 19.701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8927, f_measure: 0.9157, kappa: 0.1175, kb_relative_information_score: -841.5423, mean_absolute_error: 0.0963, 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: 0.8121, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.213, root_relative_squared_error: 0.8756, scimark_benchmark: 1726.9824, usercpu_time_millis: 22.294, usercpu_time_millis_testing: 0.224, usercpu_time_millis_training: 22.07,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9115, f_measure: 0.9245, kappa: 0.2228, kb_relative_information_score: -707.8294, mean_absolute_error: 0.0947, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9387, predictive_accuracy: 0.944, prior_entropy: 0.3411, recall: 0.944, relative_absolute_error: 0.7986, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2072, root_relative_squared_error: 0.852, scimark_benchmark: 1817.2202, usercpu_time_millis: 13.702, usercpu_time_millis_testing: 0.669, usercpu_time_millis_training: 13.033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8801, f_measure: 0.9063, kb_relative_information_score: -1131.7221, mean_absolute_error: 0.1043, 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: 0.8792, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2226, root_relative_squared_error: 0.9154, scimark_benchmark: 1726.9519, usercpu_time_millis: 10.016, usercpu_time_millis_testing: 0.429, usercpu_time_millis_training: 9.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9131, f_measure: 0.9214, kappa: 0.1854, kb_relative_information_score: -635.2584, mean_absolute_error: 0.0943, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9356, predictive_accuracy: 0.9424, prior_entropy: 0.3411, recall: 0.9424, relative_absolute_error: 0.795, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2081, root_relative_squared_error: 0.8555, scimark_benchmark: 1718.1398, usercpu_time_millis: 6.329, usercpu_time_millis_testing: 0.447, usercpu_time_millis_training: 5.882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8908, f_measure: 0.9142, kappa: 0.0979, kb_relative_information_score: -955.3309, mean_absolute_error: 0.1008, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9324, predictive_accuracy: 0.9396, prior_entropy: 0.3411, recall: 0.9396, relative_absolute_error: 0.8499, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2142, root_relative_squared_error: 0.8808, scimark_benchmark: 1730.919, usercpu_time_millis: 19.017, usercpu_time_millis_testing: 1.042, usercpu_time_millis_training: 17.975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8307, f_measure: 0.9063, kb_relative_information_score: -1266.034, mean_absolute_error: 0.1107, 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: 0.9331, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.232, root_relative_squared_error: 0.9539, scimark_benchmark: 1725.8391, usercpu_time_millis: 8.717, usercpu_time_millis_testing: 0.993, usercpu_time_millis_training: 7.724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9134, f_measure: 0.923, kappa: 0.2043, kb_relative_information_score: -646.2026, mean_absolute_error: 0.0942, 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: 0.7938, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2071, root_relative_squared_error: 0.8516, scimark_benchmark: 1811.7435, usercpu_time_millis: 8.11, usercpu_time_millis_testing: 0.521, usercpu_time_millis_training: 7.589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8742, f_measure: 0.9063, kb_relative_information_score: -1151.059, mean_absolute_error: 0.1067, 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: 0.8992, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2262, root_relative_squared_error: 0.93, scimark_benchmark: 1817.1877, usercpu_time_millis: 6.101, usercpu_time_millis_testing: 0.515, usercpu_time_millis_training: 5.586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9127, f_measure: 0.9191, kappa: 0.1578, kb_relative_information_score: -653.3598, mean_absolute_error: 0.0946, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9355, predictive_accuracy: 0.9416, prior_entropy: 0.3411, recall: 0.9416, relative_absolute_error: 0.7979, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2088, root_relative_squared_error: 0.8584, scimark_benchmark: 1727.2167, usercpu_time_millis: 13.26, usercpu_time_millis_testing: 0.997, usercpu_time_millis_training: 12.263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, f_measure: 0.9063, kb_relative_information_score: 2.3532, 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: 0.9977, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1732.3816, usercpu_time_millis: 1.455, usercpu_time_millis_testing: 0.205, usercpu_time_millis_training: 1.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8659, f_measure: 0.9063, kb_relative_information_score: -1158.4757, mean_absolute_error: 0.1058, 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: 0.8917, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2239, root_relative_squared_error: 0.9208, scimark_benchmark: 1702.0604, usercpu_time_millis: 11.876, usercpu_time_millis_testing: 0.805, usercpu_time_millis_training: 11.071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.9063, kb_relative_information_score: 4.3133, mean_absolute_error: 0.1182, 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: 0.9968, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1815.2243, usercpu_time_millis: 0.972, usercpu_time_millis_testing: 0.16, usercpu_time_millis_training: 0.812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8901, f_measure: 0.9268, kappa: 0.2689, kb_relative_information_score: -765.352, mean_absolute_error: 0.0925, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9282, predictive_accuracy: 0.942, prior_entropy: 0.3411, recall: 0.942, relative_absolute_error: 0.7795, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2124, root_relative_squared_error: 0.8733, scimark_benchmark: 1721.0636, usercpu_time_millis: 1.32, usercpu_time_millis_testing: 0.062, usercpu_time_millis_training: 1.258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8177, f_measure: 0.9063, kb_relative_information_score: -1403.9891, mean_absolute_error: 0.1084, 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: 0.9139, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2306, root_relative_squared_error: 0.948, scimark_benchmark: 1730.7008, usercpu_time_millis: 0.568, usercpu_time_millis_testing: 0.056, usercpu_time_millis_training: 0.512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9001, f_measure: 0.9214, kappa: 0.19, kb_relative_information_score: -820.2319, mean_absolute_error: 0.0959, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9303, predictive_accuracy: 0.9416, prior_entropy: 0.3411, recall: 0.9416, relative_absolute_error: 0.8084, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2104, root_relative_squared_error: 0.865, scimark_benchmark: 1734.7321, usercpu_time_millis: 35.761, usercpu_time_millis_testing: 0.462, usercpu_time_millis_training: 35.299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9104, f_measure: 0.9227, kappa: 0.2026, kb_relative_information_score: -656.0584, mean_absolute_error: 0.0928, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9351, predictive_accuracy: 0.9428, prior_entropy: 0.3411, recall: 0.9428, relative_absolute_error: 0.7822, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2088, root_relative_squared_error: 0.8585, scimark_benchmark: 1807.7337, usercpu_time_millis: 19.169, usercpu_time_millis_testing: 0.846, usercpu_time_millis_training: 18.323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9033, f_measure: 0.9249, kappa: 0.2374, kb_relative_information_score: -765.6357, mean_absolute_error: 0.0934, 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: 0.7874, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2086, root_relative_squared_error: 0.8575, scimark_benchmark: 1732.6366, usercpu_time_millis: 16.293, usercpu_time_millis_testing: 0.211, usercpu_time_millis_training: 16.082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8143, f_measure: 0.9063, kb_relative_information_score: -1186.9913, mean_absolute_error: 0.1099, 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: 0.9264, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2319, root_relative_squared_error: 0.9534, scimark_benchmark: 1724.7023, usercpu_time_millis: 15.359, usercpu_time_millis_testing: 0.59, usercpu_time_millis_training: 14.769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8318, f_measure: 0.9063, kb_relative_information_score: -1405.9577, mean_absolute_error: 0.109, 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: 0.9188, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2302, root_relative_squared_error: 0.9465, scimark_benchmark: 1758.0655, usercpu_time_millis: 4.586, usercpu_time_millis_testing: 0.193, usercpu_time_millis_training: 4.393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8991, f_measure: 0.9247, kappa: 0.2321, kb_relative_information_score: -820.4311, mean_absolute_error: 0.0942, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9318, predictive_accuracy: 0.9428, prior_entropy: 0.3411, recall: 0.9428, relative_absolute_error: 0.7944, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2096, root_relative_squared_error: 0.8618, scimark_benchmark: 1735.4775, usercpu_time_millis: 115.854, usercpu_time_millis_testing: 0.988, usercpu_time_millis_training: 114.866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9009, f_measure: 0.924, kappa: 0.2194, kb_relative_information_score: -780.9824, mean_absolute_error: 0.0952, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9349, predictive_accuracy: 0.9432, prior_entropy: 0.3411, recall: 0.9432, relative_absolute_error: 0.8025, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2096, root_relative_squared_error: 0.8619, scimark_benchmark: 1823.5399, usercpu_time_millis: 26.336, usercpu_time_millis_testing: 0.604, usercpu_time_millis_training: 25.732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8977, f_measure: 0.9259, kappa: 0.2479, kb_relative_information_score: -814.3937, mean_absolute_error: 0.0949, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9322, predictive_accuracy: 0.9432, prior_entropy: 0.3411, recall: 0.9432, relative_absolute_error: 0.8001, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2095, root_relative_squared_error: 0.8614, scimark_benchmark: 1793.2377, usercpu_time_millis: 16.641, usercpu_time_millis_testing: 0.217, usercpu_time_millis_training: 16.424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9005, f_measure: 0.9227, kappa: 0.2069, kb_relative_information_score: -866.8373, mean_absolute_error: 0.0963, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9306, predictive_accuracy: 0.942, prior_entropy: 0.3411, recall: 0.942, relative_absolute_error: 0.8119, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2101, root_relative_squared_error: 0.8637, scimark_benchmark: 1863.649, usercpu_time_millis: 19.8, usercpu_time_millis_testing: 0.289, usercpu_time_millis_training: 19.511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.904, f_measure: 0.9242, kappa: 0.225, kb_relative_information_score: -782.0561, mean_absolute_error: 0.0939, 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: 0.7916, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2087, root_relative_squared_error: 0.858, scimark_benchmark: 1733.4294, usercpu_time_millis: 10.417, usercpu_time_millis_testing: 0.155, usercpu_time_millis_training: 10.262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8198, f_measure: 0.9063, kb_relative_information_score: -1608.5279, 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: 0.9243, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2323, root_relative_squared_error: 0.9551, scimark_benchmark: 1727.7976, usercpu_time_millis: 13, usercpu_time_millis_testing: 0.456, usercpu_time_millis_training: 12.544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8981, f_measure: 0.909, kappa: 0.0336, kb_relative_information_score: -883.9702, mean_absolute_error: 0.0982, 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: 0.8276, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2138, root_relative_squared_error: 0.879, scimark_benchmark: 1825.6705, usercpu_time_millis: 10.727, usercpu_time_millis_testing: 0.477, usercpu_time_millis_training: 10.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8117, f_measure: 0.9063, kb_relative_information_score: -1674.7429, mean_absolute_error: 0.1105, 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: 0.9314, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2336, root_relative_squared_error: 0.9604, scimark_benchmark: 1803.3748, usercpu_time_millis: 5.705, usercpu_time_millis_testing: 0.208, usercpu_time_millis_training: 5.497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8408, f_measure: 0.9063, kb_relative_information_score: -1252.2985, mean_absolute_error: 0.109, 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: 0.9193, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2292, root_relative_squared_error: 0.9424, scimark_benchmark: 1728.7111, usercpu_time_millis: 1.231, usercpu_time_millis_testing: 0.115, usercpu_time_millis_training: 1.116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.9063, kb_relative_information_score: 1.3053, 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: 1868.9724, usercpu_time_millis: 2.12, usercpu_time_millis_testing: 0.303, usercpu_time_millis_training: 1.817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.863, f_measure: 0.9217, kappa: 0.2716, kb_relative_information_score: -841.1349, mean_absolute_error: 0.0939, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9163, predictive_accuracy: 0.9302, prior_entropy: 0.3411, recall: 0.9302, relative_absolute_error: 0.7915, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2332, root_relative_squared_error: 0.9589, scimark_benchmark: 1719.4241, usercpu_time_millis: 139.295, usercpu_time_millis_testing: 1.004, usercpu_time_millis_training: 138.291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9167, f_measure: 0.927, kappa: 0.2661, kb_relative_information_score: -554.4477, mean_absolute_error: 0.0898, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9302, predictive_accuracy: 0.9428, prior_entropy: 0.3411, recall: 0.9428, relative_absolute_error: 0.7569, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2046, root_relative_squared_error: 0.8413, scimark_benchmark: 849.7701, usercpu_time_millis: 72.909, usercpu_time_millis_testing: 2.679, usercpu_time_millis_training: 70.23,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9102, f_measure: 0.9257, kappa: 0.2427, kb_relative_information_score: -686.1918, mean_absolute_error: 0.0925, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9341, predictive_accuracy: 0.9436, prior_entropy: 0.3411, recall: 0.9436, relative_absolute_error: 0.7798, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2065, root_relative_squared_error: 0.8491, scimark_benchmark: 1809.1077, usercpu_time_millis: 52.531, usercpu_time_millis_testing: 1.086, usercpu_time_millis_training: 51.445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, f_measure: 0.9063, kb_relative_information_score: 4.3192, mean_absolute_error: 0.1182, 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: 0.9968, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1769.0686, usercpu_time_millis: 2.035, usercpu_time_millis_testing: 0.314, usercpu_time_millis_training: 1.721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8991, f_measure: 0.9191, kappa: 0.1578, kb_relative_information_score: -860.9012, mean_absolute_error: 0.0973, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9355, 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: 0.2107, root_relative_squared_error: 0.8661, scimark_benchmark: 1791.0159, usercpu_time_millis: 28.968, usercpu_time_millis_testing: 0.655, usercpu_time_millis_training: 28.313,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9063, kb_relative_information_score: -4.9051, 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: 0.9974, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1367.6814, usercpu_time_millis: 2.045, usercpu_time_millis_testing: 0.348, usercpu_time_millis_training: 1.697,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8269, f_measure: 0.9063, kb_relative_information_score: -1389.9931, 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: 0.9171, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2287, root_relative_squared_error: 0.9402, scimark_benchmark: 1366.164, usercpu_time_millis: 32.234, usercpu_time_millis_testing: 0.843, usercpu_time_millis_training: 31.391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9005, f_measure: 0.909, kappa: 0.0336, kb_relative_information_score: -884.7576, mean_absolute_error: 0.0979, 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: 0.825, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2138, root_relative_squared_error: 0.8792, scimark_benchmark: 1369.1967, usercpu_time_millis: 18.768, usercpu_time_millis_testing: 0.558, usercpu_time_millis_training: 18.21,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8258, f_measure: 0.9063, kb_relative_information_score: -910.751, 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: 0.9209, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.23, root_relative_squared_error: 0.9457, scimark_benchmark: 1366.5994, usercpu_time_millis: 8.333, usercpu_time_millis_testing: 0.493, usercpu_time_millis_training: 7.84,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8235, f_measure: 0.9063, kb_relative_information_score: -1200.2599, 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: 0.921, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2285, root_relative_squared_error: 0.9395, scimark_benchmark: 1367.8116, usercpu_time_millis: 11.925, usercpu_time_millis_testing: 0.638, usercpu_time_millis_training: 11.287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8289, f_measure: 0.9063, kb_relative_information_score: -1369.3327, mean_absolute_error: 0.1087, 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: 0.9162, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2287, root_relative_squared_error: 0.9403, scimark_benchmark: 1371.3989, usercpu_time_millis: 23.518, usercpu_time_millis_testing: 0.71, usercpu_time_millis_training: 22.808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8818, f_measure: 0.9111, kappa: 0.057, kb_relative_information_score: -1058.0341, mean_absolute_error: 0.1028, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9426, predictive_accuracy: 0.9388, prior_entropy: 0.3411, recall: 0.9388, relative_absolute_error: 0.8667, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2171, root_relative_squared_error: 0.8928, scimark_benchmark: 1368.9159, usercpu_time_millis: 4.443, usercpu_time_millis_testing: 0.239, usercpu_time_millis_training: 4.204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9001, f_measure: 0.9122, kappa: 0.0755, kb_relative_information_score: -766.8535, mean_absolute_error: 0.0957, 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: 0.8067, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2117, root_relative_squared_error: 0.8704, scimark_benchmark: 1369.7319, usercpu_time_millis: 8.814, usercpu_time_millis_testing: 0.287, usercpu_time_millis_training: 8.527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8781, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -1139.0435, mean_absolute_error: 0.1023, 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: 0.8624, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2209, root_relative_squared_error: 0.9083, scimark_benchmark: 1376.8588, usercpu_time_millis: 76.612, usercpu_time_millis_testing: 0.963, usercpu_time_millis_training: 75.649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8344, f_measure: 0.9063, kb_relative_information_score: -1288.806, mean_absolute_error: 0.1091, 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: 0.9198, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.23, root_relative_squared_error: 0.9455, scimark_benchmark: 1366.9024, usercpu_time_millis: 8.906, usercpu_time_millis_testing: 0.815, usercpu_time_millis_training: 8.091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8239, f_measure: 0.9063, kb_relative_information_score: -1411.6945, mean_absolute_error: 0.109, 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: 0.9192, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2289, root_relative_squared_error: 0.9413, scimark_benchmark: 1372.5993, usercpu_time_millis: 12.624, usercpu_time_millis_testing: 0.295, usercpu_time_millis_training: 12.329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8918, f_measure: 0.9071, kappa: 0.0108, kb_relative_information_score: -1004.9125, mean_absolute_error: 0.0998, 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: 0.8417, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2167, root_relative_squared_error: 0.891, scimark_benchmark: 1374.2144, usercpu_time_millis: 41.996, usercpu_time_millis_testing: 0.85, usercpu_time_millis_training: 41.146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7898, f_measure: 0.9063, kb_relative_information_score: -1021.2907, mean_absolute_error: 0.111, 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: 0.9361, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2332, root_relative_squared_error: 0.9586, scimark_benchmark: 1365.6134, usercpu_time_millis: 4.02, usercpu_time_millis_testing: 0.198, usercpu_time_millis_training: 3.822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.895, f_measure: 0.9316, kappa: 0.3331, kb_relative_information_score: -748.2084, mean_absolute_error: 0.0906, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9308, predictive_accuracy: 0.9432, prior_entropy: 0.3411, recall: 0.9432, relative_absolute_error: 0.7642, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2115, root_relative_squared_error: 0.8698, scimark_benchmark: 1378.8096, usercpu_time_millis: 111.44, usercpu_time_millis_testing: 1.16, usercpu_time_millis_training: 110.28,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8879, f_measure: 0.9286, kappa: 0.3014, kb_relative_information_score: -828.8898, mean_absolute_error: 0.0919, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9271, predictive_accuracy: 0.9412, prior_entropy: 0.3411, recall: 0.9412, relative_absolute_error: 0.7746, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2165, root_relative_squared_error: 0.8902, scimark_benchmark: 1376.0848, usercpu_time_millis: 29.311, usercpu_time_millis_testing: 0.312, usercpu_time_millis_training: 28.999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8068, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -1810.8048, mean_absolute_error: 0.1103, 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: 0.9297, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2343, root_relative_squared_error: 0.9635, scimark_benchmark: 1377.646, usercpu_time_millis: 94.545, usercpu_time_millis_testing: 0.883, usercpu_time_millis_training: 93.662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8322, f_measure: 0.9063, kb_relative_information_score: -1349.6933, 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: 0.925, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2309, root_relative_squared_error: 0.9495, scimark_benchmark: 1360.3763, usercpu_time_millis: 10.229, usercpu_time_millis_testing: 0.942, usercpu_time_millis_training: 9.287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.9063, kb_relative_information_score: -4.9439, mean_absolute_error: 0.1184, 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: 0.9979, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1368.9265, usercpu_time_millis: 1.121, usercpu_time_millis_testing: 0.175, usercpu_time_millis_training: 0.946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9032, f_measure: 0.92, kappa: 0.1676, kb_relative_information_score: -832.7296, mean_absolute_error: 0.0973, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9364, predictive_accuracy: 0.942, prior_entropy: 0.3411, recall: 0.942, relative_absolute_error: 0.8199, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2101, root_relative_squared_error: 0.8638, scimark_benchmark: 1369.9076, usercpu_time_millis: 40.563, usercpu_time_millis_testing: 1.288, usercpu_time_millis_training: 39.275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9032, f_measure: 0.9283, kappa: 0.2781, kb_relative_information_score: -777.6089, mean_absolute_error: 0.0931, 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: 0.7846, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2083, root_relative_squared_error: 0.8565, scimark_benchmark: 1371.6305, usercpu_time_millis: 38.645, usercpu_time_millis_testing: 0.374, usercpu_time_millis_training: 38.271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8967, f_measure: 0.9275, kappa: 0.2838, kb_relative_information_score: -741.243, mean_absolute_error: 0.091, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9267, predictive_accuracy: 0.9412, prior_entropy: 0.3411, recall: 0.9412, relative_absolute_error: 0.7669, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2099, root_relative_squared_error: 0.863, scimark_benchmark: 1371.3663, usercpu_time_millis: 38.019, usercpu_time_millis_testing: 0.422, usercpu_time_millis_training: 37.597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9012, f_measure: 0.9245, kappa: 0.2267, kb_relative_information_score: -820.3017, mean_absolute_error: 0.0952, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.934, predictive_accuracy: 0.9432, prior_entropy: 0.3411, recall: 0.9432, relative_absolute_error: 0.8025, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2092, root_relative_squared_error: 0.8602, scimark_benchmark: 1368.5892, usercpu_time_millis: 16.958, usercpu_time_millis_testing: 0.253, usercpu_time_millis_training: 16.705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.889, f_measure: 0.9071, kappa: 0.0108, kb_relative_information_score: -1003.9079, mean_absolute_error: 0.0995, 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: 0.8388, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2179, root_relative_squared_error: 0.8958, scimark_benchmark: 1375.1726, usercpu_time_millis: 25.253, usercpu_time_millis_testing: 0.457, usercpu_time_millis_training: 24.796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8895, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -971.3879, 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: 0.8368, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2161, root_relative_squared_error: 0.8887, scimark_benchmark: 1376.4783, usercpu_time_millis: 60.036, usercpu_time_millis_testing: 1.137, usercpu_time_millis_training: 58.899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8949, f_measure: 0.9115, kappa: 0.0658, kb_relative_information_score: -882.7832, mean_absolute_error: 0.0976, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9271, predictive_accuracy: 0.9384, prior_entropy: 0.3411, recall: 0.9384, relative_absolute_error: 0.8232, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2137, root_relative_squared_error: 0.8786, scimark_benchmark: 1373.967, usercpu_time_millis: 11.246, usercpu_time_millis_testing: 0.238, usercpu_time_millis_training: 11.008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9138, f_measure: 0.9136, kappa: 0.0885, kb_relative_information_score: -678.0169, mean_absolute_error: 0.0952, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9366, predictive_accuracy: 0.9396, prior_entropy: 0.3411, recall: 0.9396, relative_absolute_error: 0.8027, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.21, root_relative_squared_error: 0.8635, scimark_benchmark: 1376.8069, usercpu_time_millis: 14.556, usercpu_time_millis_testing: 1.282, usercpu_time_millis_training: 13.274,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9021, f_measure: 0.9242, kappa: 0.225, kb_relative_information_score: -825.9388, mean_absolute_error: 0.0949, 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: 0.7999, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2087, root_relative_squared_error: 0.8583, scimark_benchmark: 1371.4877, usercpu_time_millis: 145.318, usercpu_time_millis_testing: 1.396, usercpu_time_millis_training: 143.922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8269, f_measure: 0.9063, kb_relative_information_score: -1315.9578, mean_absolute_error: 0.1083, 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: 0.9131, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2285, root_relative_squared_error: 0.9395, scimark_benchmark: 1377.7176, usercpu_time_millis: 4.014, usercpu_time_millis_testing: 0.232, usercpu_time_millis_training: 3.782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8365, f_measure: 0.9063, kb_relative_information_score: -744.6154, mean_absolute_error: 0.1143, 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: 0.9635, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2363, root_relative_squared_error: 0.9714, scimark_benchmark: 1373.4443, usercpu_time_millis: 0.636, usercpu_time_millis_testing: 0.099, usercpu_time_millis_training: 0.537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8022, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -1847.8278, mean_absolute_error: 0.1104, 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: 0.9309, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2349, root_relative_squared_error: 0.9659, scimark_benchmark: 1372.8634, usercpu_time_millis: 60.095, usercpu_time_millis_testing: 0.739, usercpu_time_millis_training: 59.356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8917, f_measure: 0.9157, kappa: 0.1175, kb_relative_information_score: -944.2368, mean_absolute_error: 0.0975, 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: 0.8223, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.214, root_relative_squared_error: 0.8797, scimark_benchmark: 1367.2055, usercpu_time_millis: 215.316, usercpu_time_millis_testing: 1.208, usercpu_time_millis_training: 214.108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.9063, kb_relative_information_score: -58.8242, mean_absolute_error: 0.1185, 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: 0.9993, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1374.5068, usercpu_time_millis: 0.366, usercpu_time_millis_testing: 0.069, usercpu_time_millis_training: 0.297,

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