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: 0.8828, f_measure: 0.914, kappa: 0.0967, kb_relative_information_score: -1072.6072, mean_absolute_error: 0.1015, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9281, predictive_accuracy: 0.9392, prior_entropy: 0.3411, recall: 0.9392, relative_absolute_error: 0.8554, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2152, root_relative_squared_error: 0.885, scimark_benchmark: 1787.7796, usercpu_time_millis: 14.166, usercpu_time_millis_testing: 0.295, usercpu_time_millis_training: 13.871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8986, f_measure: 0.9224, kappa: 0.2009, kb_relative_information_score: -822.6035, mean_absolute_error: 0.0957, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9331, predictive_accuracy: 0.9424, prior_entropy: 0.3411, recall: 0.9424, relative_absolute_error: 0.8065, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2104, root_relative_squared_error: 0.8649, scimark_benchmark: 1849.8294, usercpu_time_millis: 11.447, usercpu_time_millis_testing: 0.277, usercpu_time_millis_training: 11.17,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.883, f_measure: 0.9071, kappa: 0.0108, kb_relative_information_score: -1095.6621, mean_absolute_error: 0.1014, 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: 0.8548, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2189, root_relative_squared_error: 0.8999, scimark_benchmark: 1785.5124, usercpu_time_millis: 8.425, usercpu_time_millis_testing: 0.134, usercpu_time_millis_training: 8.291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9171, f_measure: 0.9237, kappa: 0.2176, kb_relative_information_score: -575.0788, mean_absolute_error: 0.092, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9331, predictive_accuracy: 0.9428, prior_entropy: 0.3411, recall: 0.9428, relative_absolute_error: 0.7757, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2064, root_relative_squared_error: 0.8485, scimark_benchmark: 1772.7185, usercpu_time_millis: 9.564, usercpu_time_millis_testing: 0.705, usercpu_time_millis_training: 8.859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8746, f_measure: 0.9174, kappa: 0.1676, kb_relative_information_score: -908.4208, mean_absolute_error: 0.0947, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9131, predictive_accuracy: 0.9357, prior_entropy: 0.3411, recall: 0.9357, relative_absolute_error: 0.7988, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2192, root_relative_squared_error: 0.9013, scimark_benchmark: 1839.1303, usercpu_time_millis: 8.979, usercpu_time_millis_testing: 0.096, usercpu_time_millis_training: 8.883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9062, f_measure: 0.9281, kappa: 0.2875, kb_relative_information_score: -632.9545, mean_absolute_error: 0.0897, 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: 0.756, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2073, root_relative_squared_error: 0.8523, scimark_benchmark: 1840.2451, usercpu_time_millis: 49.28, usercpu_time_millis_testing: 0.83, usercpu_time_millis_training: 48.45,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8928, f_measure: 0.9071, kappa: 0.0108, kb_relative_information_score: -931.876, mean_absolute_error: 0.1003, 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: 0.8459, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2175, root_relative_squared_error: 0.8942, scimark_benchmark: 1854.4431, usercpu_time_millis: 3.462, usercpu_time_millis_testing: 0.193, usercpu_time_millis_training: 3.269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8991, f_measure: 0.9263, kappa: 0.2577, kb_relative_information_score: -717.8128, mean_absolute_error: 0.0919, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9293, predictive_accuracy: 0.9424, prior_entropy: 0.3411, recall: 0.9424, relative_absolute_error: 0.7749, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2101, root_relative_squared_error: 0.864, scimark_benchmark: 1118.4883, usercpu_time_millis: 143.265, usercpu_time_millis_testing: 2.473, usercpu_time_millis_training: 140.792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9108, f_measure: 0.9277, kappa: 0.2744, kb_relative_information_score: -579.1303, mean_absolute_error: 0.0902, 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: 0.7604, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2061, root_relative_squared_error: 0.8473, scimark_benchmark: 1830.5391, usercpu_time_millis: 15.861, usercpu_time_millis_testing: 0.512, usercpu_time_millis_training: 15.349,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8953, f_measure: 0.9149, kappa: 0.1071, kb_relative_information_score: -903.5078, mean_absolute_error: 0.0978, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9297, predictive_accuracy: 0.9396, prior_entropy: 0.3411, recall: 0.9396, relative_absolute_error: 0.8243, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2124, root_relative_squared_error: 0.8731, scimark_benchmark: 1840.3847, usercpu_time_millis: 58.455, usercpu_time_millis_testing: 0.984, usercpu_time_millis_training: 57.471,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8993, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -962.1213, 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: 0.2184, root_relative_squared_error: 0.8981, scimark_benchmark: 1836.2249, usercpu_time_millis: 1.031, usercpu_time_millis_testing: 0.091, usercpu_time_millis_training: 0.94,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8241, f_measure: 0.9063, kb_relative_information_score: -1576.8542, mean_absolute_error: 0.1093, 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: 0.9214, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2311, root_relative_squared_error: 0.9503, scimark_benchmark: 1841.2811, usercpu_time_millis: 25.835, usercpu_time_millis_testing: 0.404, usercpu_time_millis_training: 25.431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.884, f_measure: 0.9224, kappa: 0.1965, kb_relative_information_score: -1048.7796, mean_absolute_error: 0.0997, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9388, predictive_accuracy: 0.9432, prior_entropy: 0.3411, recall: 0.9432, relative_absolute_error: 0.8407, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2133, root_relative_squared_error: 0.877, scimark_benchmark: 1845.181, usercpu_time_millis: 1.737, usercpu_time_millis_testing: 0.086, usercpu_time_millis_training: 1.651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9, f_measure: 0.9181, kappa: 0.1464, kb_relative_information_score: -850.1995, mean_absolute_error: 0.0963, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9316, predictive_accuracy: 0.9408, prior_entropy: 0.3411, recall: 0.9408, relative_absolute_error: 0.8115, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2115, root_relative_squared_error: 0.8697, scimark_benchmark: 1842.3188, usercpu_time_millis: 7.636, usercpu_time_millis_testing: 0.129, usercpu_time_millis_training: 7.507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9021, f_measure: 0.9291, kappa: 0.2907, kb_relative_information_score: -752.6021, mean_absolute_error: 0.0924, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9326, predictive_accuracy: 0.944, prior_entropy: 0.3411, recall: 0.944, relative_absolute_error: 0.7789, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2086, root_relative_squared_error: 0.8577, scimark_benchmark: 1731.4596, usercpu_time_millis: 138.654, usercpu_time_millis_testing: 1.132, usercpu_time_millis_training: 137.522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9049, f_measure: 0.9276, kappa: 0.2697, kb_relative_information_score: -775.8482, mean_absolute_error: 0.0928, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9323, predictive_accuracy: 0.9436, prior_entropy: 0.3411, recall: 0.9436, relative_absolute_error: 0.7825, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2078, root_relative_squared_error: 0.8544, scimark_benchmark: 1831.7266, usercpu_time_millis: 74.776, usercpu_time_millis_testing: 0.779, usercpu_time_millis_training: 73.997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9007, f_measure: 0.9278, kappa: 0.2788, kb_relative_information_score: -720.9444, mean_absolute_error: 0.0915, 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: 0.7711, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2091, root_relative_squared_error: 0.8596, scimark_benchmark: 1762.5593, usercpu_time_millis: 55.173, usercpu_time_millis_testing: 0.489, usercpu_time_millis_training: 54.684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8973, f_measure: 0.9175, kappa: 0.1378, kb_relative_information_score: -879.8012, mean_absolute_error: 0.0968, 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: 0.8164, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2125, root_relative_squared_error: 0.8735, scimark_benchmark: 1721.1627, usercpu_time_millis: 47.669, usercpu_time_millis_testing: 0.589, usercpu_time_millis_training: 47.08,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9118, f_measure: 0.9124, kappa: 0.0766, kb_relative_information_score: -719.1677, mean_absolute_error: 0.0969, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9292, predictive_accuracy: 0.9388, prior_entropy: 0.3411, recall: 0.9388, relative_absolute_error: 0.8172, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2108, root_relative_squared_error: 0.8668, scimark_benchmark: 1847.3406, usercpu_time_millis: 11.193, usercpu_time_millis_testing: 0.939, usercpu_time_millis_training: 10.254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9044, f_measure: 0.909, kappa: 0.0336, kb_relative_information_score: -829.1954, mean_absolute_error: 0.0966, 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: 0.814, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2134, root_relative_squared_error: 0.8772, scimark_benchmark: 1837.7821, usercpu_time_millis: 21.816, usercpu_time_millis_testing: 1.006, usercpu_time_millis_training: 20.81,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8782, f_measure: 0.929, kappa: 0.3071, kb_relative_information_score: -815.2703, mean_absolute_error: 0.0914, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9273, predictive_accuracy: 0.9412, prior_entropy: 0.3411, recall: 0.9412, relative_absolute_error: 0.771, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2162, root_relative_squared_error: 0.8889, scimark_benchmark: 1764.8909, usercpu_time_millis: 34.503, usercpu_time_millis_testing: 0.228, usercpu_time_millis_training: 34.275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9063, kb_relative_information_score: 4.1162, 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: 1842.1882, usercpu_time_millis: 2.633, usercpu_time_millis_testing: 0.442, usercpu_time_millis_training: 2.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9047, f_measure: 0.9183, kappa: 0.1479, kb_relative_information_score: -801.1098, mean_absolute_error: 0.0975, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9345, predictive_accuracy: 0.9412, prior_entropy: 0.3411, recall: 0.9412, relative_absolute_error: 0.822, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2103, root_relative_squared_error: 0.8645, scimark_benchmark: 1732.8983, usercpu_time_millis: 13.816, usercpu_time_millis_testing: 0.828, usercpu_time_millis_training: 12.988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9052, f_measure: 0.9099, kappa: 0.0448, kb_relative_information_score: -758.8308, mean_absolute_error: 0.0983, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9296, predictive_accuracy: 0.938, prior_entropy: 0.3411, recall: 0.938, relative_absolute_error: 0.829, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2132, root_relative_squared_error: 0.8765, scimark_benchmark: 1839.7911, usercpu_time_millis: 10.37, usercpu_time_millis_testing: 0.974, usercpu_time_millis_training: 9.396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9024, f_measure: 0.9189, kappa: 0.1563, kb_relative_information_score: -826.8038, mean_absolute_error: 0.0973, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9327, predictive_accuracy: 0.9412, prior_entropy: 0.3411, recall: 0.9412, relative_absolute_error: 0.8202, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2106, root_relative_squared_error: 0.8658, scimark_benchmark: 1732.6097, usercpu_time_millis: 17.127, usercpu_time_millis_testing: 0.69, usercpu_time_millis_training: 16.437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8865, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -1024.5057, 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: 0.8375, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2169, root_relative_squared_error: 0.8919, scimark_benchmark: 1752.4079, usercpu_time_millis: 14.412, usercpu_time_millis_testing: 0.124, usercpu_time_millis_training: 14.288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8219, f_measure: 0.9063, kb_relative_information_score: -1437.305, mean_absolute_error: 0.1095, 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: 0.9233, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2316, root_relative_squared_error: 0.9521, scimark_benchmark: 1723.6732, usercpu_time_millis: 11.994, usercpu_time_millis_testing: 0.603, usercpu_time_millis_training: 11.391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9063, kb_relative_information_score: -0.5012, 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: 1731.5003, usercpu_time_millis: 2.829, usercpu_time_millis_testing: 0.458, usercpu_time_millis_training: 2.371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.9063, kb_relative_information_score: 3.7911, 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: 1839.1431, usercpu_time_millis: 4.026, usercpu_time_millis_testing: 0.667, usercpu_time_millis_training: 3.359,
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: 0.4997, f_measure: 0.9063, kb_relative_information_score: -58.2805, 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: 0.9963, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1730.6397, usercpu_time_millis: 0.702, usercpu_time_millis_testing: 0.09, usercpu_time_millis_training: 0.612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8077, f_measure: 0.9247, kappa: 0.2321, kb_relative_information_score: -1381.8238, mean_absolute_error: 0.0967, 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: 0.8157, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2221, root_relative_squared_error: 0.9133, scimark_benchmark: 1706.9309, usercpu_time_millis: 0.765, usercpu_time_millis_testing: 0.065, usercpu_time_millis_training: 0.7,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9063, kb_relative_information_score: 3.3013, 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: 0.9965, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1844.8764, usercpu_time_millis: 2.08, usercpu_time_millis_testing: 0.35, usercpu_time_millis_training: 1.73,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.9063, kb_relative_information_score: -34.9255, 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: 0.9965, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1840.1791, usercpu_time_millis: 0.48, usercpu_time_millis_testing: 0.058, usercpu_time_millis_training: 0.422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8822, f_measure: 0.9236, kappa: 0.2454, kb_relative_information_score: -839.857, mean_absolute_error: 0.0932, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9206, predictive_accuracy: 0.938, prior_entropy: 0.3411, recall: 0.938, relative_absolute_error: 0.7858, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2168, root_relative_squared_error: 0.8913, scimark_benchmark: 1807.1003, usercpu_time_millis: 151.052, usercpu_time_millis_testing: 1.22, usercpu_time_millis_training: 149.832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9076, f_measure: 0.9302, kappa: 0.3146, kb_relative_information_score: -637.3538, mean_absolute_error: 0.0898, 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: 0.7569, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2076, root_relative_squared_error: 0.8534, scimark_benchmark: 1832.1165, usercpu_time_millis: 82.726, usercpu_time_millis_testing: 1.63, usercpu_time_millis_training: 81.096,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8795, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -1154.3722, 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: 0.8629, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2206, root_relative_squared_error: 0.9069, scimark_benchmark: 1752.5823, usercpu_time_millis: 137.287, usercpu_time_millis_testing: 1.073, usercpu_time_millis_training: 136.214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8896, f_measure: 0.9108, kappa: 0.0559, kb_relative_information_score: -1012.3686, mean_absolute_error: 0.0997, 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: 0.8407, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2151, root_relative_squared_error: 0.8844, scimark_benchmark: 1740.8042, usercpu_time_millis: 74.105, usercpu_time_millis_testing: 0.78, usercpu_time_millis_training: 73.325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8262, f_measure: 0.9063, kb_relative_information_score: -1557.1179, 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: 0.2311, root_relative_squared_error: 0.9501, scimark_benchmark: 1729.5057, usercpu_time_millis: 41.622, usercpu_time_millis_testing: 0.623, usercpu_time_millis_training: 40.999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8845, f_measure: 0.9102, kappa: 0.0528, kb_relative_information_score: -959.4632, mean_absolute_error: 0.0972, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9144, predictive_accuracy: 0.9373, prior_entropy: 0.3411, recall: 0.9373, relative_absolute_error: 0.8195, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2176, root_relative_squared_error: 0.8946, scimark_benchmark: 1896.9956, usercpu_time_millis: 138.856, usercpu_time_millis_testing: 1.41, usercpu_time_millis_training: 137.446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9012, f_measure: 0.9255, kappa: 0.2493, kb_relative_information_score: -691.1938, mean_absolute_error: 0.0917, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9285, predictive_accuracy: 0.942, prior_entropy: 0.3411, recall: 0.942, relative_absolute_error: 0.7732, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2101, root_relative_squared_error: 0.8638, scimark_benchmark: 1787.6307, usercpu_time_millis: 53.234, usercpu_time_millis_testing: 1.012, usercpu_time_millis_training: 52.222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8845, f_measure: 0.9204, kappa: 0.2023, kb_relative_information_score: -818.7938, mean_absolute_error: 0.0934, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9176, predictive_accuracy: 0.9373, prior_entropy: 0.3411, recall: 0.9373, relative_absolute_error: 0.7878, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2136, root_relative_squared_error: 0.8782, scimark_benchmark: 1797.9208, usercpu_time_millis: 15.244, usercpu_time_millis_testing: 0.122, usercpu_time_millis_training: 15.122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8851, f_measure: 0.9134, kappa: 0.0997, kb_relative_information_score: -907.5171, mean_absolute_error: 0.096, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9142, predictive_accuracy: 0.9373, prior_entropy: 0.3411, recall: 0.9373, relative_absolute_error: 0.8094, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2166, root_relative_squared_error: 0.8904, scimark_benchmark: 1739.0626, usercpu_time_millis: 53.425, usercpu_time_millis_testing: 0.542, usercpu_time_millis_training: 52.883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9013, f_measure: 0.9245, kappa: 0.2228, kb_relative_information_score: -786.8324, mean_absolute_error: 0.0951, 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: 0.8017, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2091, root_relative_squared_error: 0.8596, scimark_benchmark: 1745.9188, usercpu_time_millis: 25.536, usercpu_time_millis_testing: 0.426, usercpu_time_millis_training: 25.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9063, kb_relative_information_score: -80.5402, mean_absolute_error: 0.1186, 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: 0.9999, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1816.9424, usercpu_time_millis: 0.523, usercpu_time_millis_testing: 0.067, usercpu_time_millis_training: 0.456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9063, kb_relative_information_score: 3.8647, 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: 1809.3271, usercpu_time_millis: 3.496, usercpu_time_millis_testing: 0.611, usercpu_time_millis_training: 2.885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.897, f_measure: 0.931, kappa: 0.3292, kb_relative_information_score: -726.2771, mean_absolute_error: 0.0902, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9296, predictive_accuracy: 0.9424, prior_entropy: 0.3411, recall: 0.9424, relative_absolute_error: 0.7605, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2104, root_relative_squared_error: 0.865, scimark_benchmark: 1809.3271, usercpu_time_millis: 2.01, usercpu_time_millis_testing: 0.071, usercpu_time_millis_training: 1.939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8815, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -1122.1558, mean_absolute_error: 0.1032, 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: 0.8703, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2207, root_relative_squared_error: 0.9073, scimark_benchmark: 1852.7791, usercpu_time_millis: 20.901, usercpu_time_millis_testing: 0.7, usercpu_time_millis_training: 20.201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.9063, kb_relative_information_score: -22.0084, 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: 1795.6473, usercpu_time_millis: 1.727, usercpu_time_millis_testing: 0.199, usercpu_time_millis_training: 1.528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8973, f_measure: 0.9247, kappa: 0.2321, kb_relative_information_score: -821.2176, mean_absolute_error: 0.0946, 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: 0.7973, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2096, root_relative_squared_error: 0.8618, scimark_benchmark: 1734.675, usercpu_time_millis: 16.332, usercpu_time_millis_testing: 0.166, usercpu_time_millis_training: 16.166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9063, kb_relative_information_score: 3.3281, 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: 1727.2167, usercpu_time_millis: 2.903, usercpu_time_millis_testing: 0.498, usercpu_time_millis_training: 2.405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9035, f_measure: 0.9232, kappa: 0.2102, kb_relative_information_score: -765.3649, mean_absolute_error: 0.0947, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.934, predictive_accuracy: 0.9428, prior_entropy: 0.3411, recall: 0.9428, relative_absolute_error: 0.7984, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2081, root_relative_squared_error: 0.8554, scimark_benchmark: 1790.6769, usercpu_time_millis: 7.341, usercpu_time_millis_testing: 0.191, usercpu_time_millis_training: 7.15,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, f_measure: 0.9063, kb_relative_information_score: 3.9138, 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: 1813.4316, usercpu_time_millis: 3.482, usercpu_time_millis_testing: 0.621, usercpu_time_millis_training: 2.861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8871, f_measure: 0.9263, kappa: 0.2768, kb_relative_information_score: -843.4154, mean_absolute_error: 0.0926, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9241, predictive_accuracy: 0.9396, prior_entropy: 0.3411, recall: 0.9396, relative_absolute_error: 0.7805, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2152, root_relative_squared_error: 0.8847, scimark_benchmark: 1733.3606, usercpu_time_millis: 193.384, usercpu_time_millis_testing: 1.218, usercpu_time_millis_training: 192.166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8752, f_measure: 0.9059, kappa: -0.0016, kb_relative_information_score: -1113.1802, mean_absolute_error: 0.1006, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9361, prior_entropy: 0.3411, recall: 0.9361, relative_absolute_error: 0.848, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2219, root_relative_squared_error: 0.9125, scimark_benchmark: 1751.8531, usercpu_time_millis: 135.08, usercpu_time_millis_testing: 1.161, usercpu_time_millis_training: 133.919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8985, f_measure: 0.9203, kappa: 0.1742, kb_relative_information_score: -867.0624, mean_absolute_error: 0.0966, 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: 0.8144, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.21, root_relative_squared_error: 0.8635, scimark_benchmark: 1731.9625, usercpu_time_millis: 86.829, usercpu_time_millis_testing: 1.183, usercpu_time_millis_training: 85.646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8654, f_measure: 0.9063, kb_relative_information_score: -1298.9948, mean_absolute_error: 0.1053, 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: 0.8877, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2248, root_relative_squared_error: 0.9244, scimark_benchmark: 1768.6459, usercpu_time_millis: 70.138, usercpu_time_millis_testing: 0.867, usercpu_time_millis_training: 69.271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8978, f_measure: 0.923, kappa: 0.2043, kb_relative_information_score: -789.015, mean_absolute_error: 0.0952, 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: 0.8028, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2106, root_relative_squared_error: 0.8658, scimark_benchmark: 1733.7613, usercpu_time_millis: 38.96, usercpu_time_millis_testing: 0.554, usercpu_time_millis_training: 38.406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.881, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -1073.9237, mean_absolute_error: 0.1015, 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: 0.8562, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2182, root_relative_squared_error: 0.897, scimark_benchmark: 1736.4936, usercpu_time_millis: 36.389, usercpu_time_millis_testing: 0.564, usercpu_time_millis_training: 35.825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8987, f_measure: 0.9235, kappa: 0.2119, kb_relative_information_score: -849.4158, mean_absolute_error: 0.0967, 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: 0.8152, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2103, root_relative_squared_error: 0.8645, scimark_benchmark: 2149.1373, usercpu_time_millis: 41.502, usercpu_time_millis_testing: 0.766, usercpu_time_millis_training: 40.736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8198, f_measure: 0.9063, kb_relative_information_score: -1545.2402, 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: 0.9238, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2319, root_relative_squared_error: 0.9534, scimark_benchmark: 1763.2406, usercpu_time_millis: 26.476, usercpu_time_millis_testing: 0.71, usercpu_time_millis_training: 25.766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9055, f_measure: 0.9238, kappa: 0.2136, kb_relative_information_score: -738.5871, mean_absolute_error: 0.0949, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.938, predictive_accuracy: 0.9436, prior_entropy: 0.3411, recall: 0.9436, relative_absolute_error: 0.8003, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2086, root_relative_squared_error: 0.8577, scimark_benchmark: 1768.2868, usercpu_time_millis: 23.8, usercpu_time_millis_testing: 0.66, usercpu_time_millis_training: 23.14,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9037, f_measure: 0.909, kappa: 0.0336, kb_relative_information_score: -845.412, mean_absolute_error: 0.097, 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: 0.8175, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2139, root_relative_squared_error: 0.8795, scimark_benchmark: 1803.952, usercpu_time_millis: 19.413, usercpu_time_millis_testing: 0.863, usercpu_time_millis_training: 18.55,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9075, f_measure: 0.92, kappa: 0.1676, kb_relative_information_score: -738.5371, mean_absolute_error: 0.0961, 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: 0.8104, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2092, root_relative_squared_error: 0.8601, scimark_benchmark: 1805.0193, usercpu_time_millis: 12.802, usercpu_time_millis_testing: 0.708, usercpu_time_millis_training: 12.094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8824, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -1121.1312, mean_absolute_error: 0.1033, 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: 0.8707, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2217, root_relative_squared_error: 0.9115, scimark_benchmark: 1732.8983, usercpu_time_millis: 5.021, usercpu_time_millis_testing: 0.147, usercpu_time_millis_training: 4.874,
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: 0.8206, f_measure: 0.9063, kb_relative_information_score: -1174.4466, mean_absolute_error: 0.1093, 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: 0.9212, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2308, root_relative_squared_error: 0.9491, scimark_benchmark: 1736.5837, usercpu_time_millis: 10.575, usercpu_time_millis_testing: 0.418, usercpu_time_millis_training: 10.157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9036, f_measure: 0.9251, kappa: 0.2426, kb_relative_information_score: -670.4044, mean_absolute_error: 0.0924, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9286, predictive_accuracy: 0.942, prior_entropy: 0.3411, recall: 0.942, relative_absolute_error: 0.7789, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2065, root_relative_squared_error: 0.8491, scimark_benchmark: 1767.2366, usercpu_time_millis: 5.501, usercpu_time_millis_testing: 0.169, usercpu_time_millis_training: 5.332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9075, f_measure: 0.9197, kappa: 0.1661, kb_relative_information_score: -731.0416, mean_absolute_error: 0.094, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9337, predictive_accuracy: 0.9416, prior_entropy: 0.3411, recall: 0.9416, relative_absolute_error: 0.7924, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2106, root_relative_squared_error: 0.8658, scimark_benchmark: 1771.5876, usercpu_time_millis: 6.588, usercpu_time_millis_testing: 0.243, usercpu_time_millis_training: 6.345,

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

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs