Task
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: 0.8691, f_measure: 0.9197, kappa: 0.2069, kb_relative_information_score: -841.0344, mean_absolute_error: 0.0936, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9145, predictive_accuracy: 0.9349, prior_entropy: 0.3411, recall: 0.9349, relative_absolute_error: 0.7892, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2219, root_relative_squared_error: 0.9123, scimark_benchmark: 1844.7258, usercpu_time_millis: 11.922, usercpu_time_millis_testing: 0.109, usercpu_time_millis_training: 11.813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9118, f_measure: 0.925, kappa: 0.2302, kb_relative_information_score: -646.5001, mean_absolute_error: 0.0932, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9375, predictive_accuracy: 0.944, prior_entropy: 0.3411, recall: 0.944, relative_absolute_error: 0.7859, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2074, root_relative_squared_error: 0.8525, scimark_benchmark: 1847.4139, usercpu_time_millis: 9.292, usercpu_time_millis_testing: 0.437, usercpu_time_millis_training: 8.855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8818, f_measure: 0.9153, kappa: 0.1148, kb_relative_information_score: -1060.0021, mean_absolute_error: 0.1011, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9248, predictive_accuracy: 0.9392, prior_entropy: 0.3411, recall: 0.9392, relative_absolute_error: 0.8522, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2156, root_relative_squared_error: 0.8865, scimark_benchmark: 1844.2035, usercpu_time_millis: 7.028, usercpu_time_millis_testing: 0.172, usercpu_time_millis_training: 6.856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8301, f_measure: 0.9063, kb_relative_information_score: -1410.4016, 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: 0.9251, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.231, root_relative_squared_error: 0.9498, scimark_benchmark: 1821.4321, usercpu_time_millis: 4.095, usercpu_time_millis_testing: 0.256, usercpu_time_millis_training: 3.839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.9063, kb_relative_information_score: 2.8263, 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: 1846.3057, usercpu_time_millis: 1.89, usercpu_time_millis_testing: 0.272, usercpu_time_millis_training: 1.618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9069, f_measure: 0.9099, kappa: 0.0448, kb_relative_information_score: -824.9639, 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: 0.8289, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2141, root_relative_squared_error: 0.8803, scimark_benchmark: 1840.7617, usercpu_time_millis: 2.554, usercpu_time_millis_testing: 0.207, usercpu_time_millis_training: 2.347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8696, f_measure: 0.9063, kb_relative_information_score: -1206.8891, mean_absolute_error: 0.1054, 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: 0.8887, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2251, root_relative_squared_error: 0.9254, scimark_benchmark: 1777.1192, usercpu_time_millis: 3.832, usercpu_time_millis_testing: 0.168, usercpu_time_millis_training: 3.664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9023, f_measure: 0.9157, kappa: 0.1175, kb_relative_information_score: -783.4506, mean_absolute_error: 0.0969, 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: 0.8167, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2113, root_relative_squared_error: 0.8687, scimark_benchmark: 1842.3188, usercpu_time_millis: 2.067, usercpu_time_millis_testing: 0.122, usercpu_time_millis_training: 1.945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9063, kb_relative_information_score: -65.1676, mean_absolute_error: 0.118, 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: 0.9953, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1845.0103, usercpu_time_millis: 0.433, usercpu_time_millis_testing: 0.051, usercpu_time_millis_training: 0.382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.9063, kb_relative_information_score: -6.1835, 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: 1827.2332, usercpu_time_millis: 0.937, usercpu_time_millis_testing: 0.126, usercpu_time_millis_training: 0.811,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8225, f_measure: 0.9063, kb_relative_information_score: -1483.9518, 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: 0.9167, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2304, root_relative_squared_error: 0.9473, scimark_benchmark: 1845.7835, usercpu_time_millis: 0.756, usercpu_time_millis_testing: 0.053, usercpu_time_millis_training: 0.703,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8998, f_measure: 0.9221, kappa: 0.2036, kb_relative_information_score: -734.3687, mean_absolute_error: 0.0925, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9276, predictive_accuracy: 0.9412, prior_entropy: 0.3411, recall: 0.9412, relative_absolute_error: 0.7801, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2083, root_relative_squared_error: 0.8566, scimark_benchmark: 1845.8368, usercpu_time_millis: 2.805, usercpu_time_millis_testing: 0.102, usercpu_time_millis_training: 2.703,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.9063, kb_relative_information_score: -27.4964, 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: 1776.1477, usercpu_time_millis: 0.591, usercpu_time_millis_testing: 0.07, usercpu_time_millis_training: 0.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9079, f_measure: 0.9268, kappa: 0.2613, kb_relative_information_score: -669.0066, mean_absolute_error: 0.0918, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9315, predictive_accuracy: 0.9432, prior_entropy: 0.3411, recall: 0.9432, relative_absolute_error: 0.7742, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2073, root_relative_squared_error: 0.8521, scimark_benchmark: 779.5689, usercpu_time_millis: 111.664, usercpu_time_millis_testing: 1.887, usercpu_time_millis_training: 109.777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9019, f_measure: 0.9172, kappa: 0.1364, kb_relative_information_score: -744.5297, mean_absolute_error: 0.0945, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9304, predictive_accuracy: 0.9404, prior_entropy: 0.3411, recall: 0.9404, relative_absolute_error: 0.7969, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2114, root_relative_squared_error: 0.8691, scimark_benchmark: 780.4577, usercpu_time_millis: 97.246, usercpu_time_millis_testing: 2.152, usercpu_time_millis_training: 95.094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8846, f_measure: 0.9152, kappa: 0.1256, kb_relative_information_score: -902.6437, mean_absolute_error: 0.0955, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9148, predictive_accuracy: 0.9373, prior_entropy: 0.3411, recall: 0.9373, relative_absolute_error: 0.8055, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2166, root_relative_squared_error: 0.8907, scimark_benchmark: 1843.1261, usercpu_time_millis: 100.292, usercpu_time_millis_testing: 1.361, usercpu_time_millis_training: 98.931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8961, f_measure: 0.9189, kappa: 0.1563, kb_relative_information_score: -869.1947, mean_absolute_error: 0.0968, 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: 0.8162, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2117, root_relative_squared_error: 0.8703, scimark_benchmark: 1938.9919, usercpu_time_millis: 59.346, usercpu_time_millis_testing: 1.003, usercpu_time_millis_training: 58.343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8996, f_measure: 0.9257, kappa: 0.2427, kb_relative_information_score: -785.5443, mean_absolute_error: 0.0938, 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: 0.7909, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2089, root_relative_squared_error: 0.859, scimark_benchmark: 1839.5885, usercpu_time_millis: 49.406, usercpu_time_millis_testing: 0.513, usercpu_time_millis_training: 48.893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8975, f_measure: 0.9166, kappa: 0.1277, kb_relative_information_score: -850.1315, mean_absolute_error: 0.097, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9323, predictive_accuracy: 0.9404, prior_entropy: 0.3411, recall: 0.9404, relative_absolute_error: 0.818, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2119, root_relative_squared_error: 0.8714, scimark_benchmark: 1835.6968, usercpu_time_millis: 43.782, usercpu_time_millis_testing: 1.254, usercpu_time_millis_training: 42.528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9122, f_measure: 0.9273, kappa: 0.2679, kb_relative_information_score: -614.0876, mean_absolute_error: 0.0912, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9312, predictive_accuracy: 0.9432, prior_entropy: 0.3411, recall: 0.9432, relative_absolute_error: 0.7686, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2062, root_relative_squared_error: 0.848, scimark_benchmark: 1853.9121, usercpu_time_millis: 35.294, usercpu_time_millis_testing: 1.322, usercpu_time_millis_training: 33.972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8637, f_measure: 0.9063, kb_relative_information_score: -1321.4163, mean_absolute_error: 0.1057, 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: 0.8915, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2259, root_relative_squared_error: 0.9287, scimark_benchmark: 1817.2319, usercpu_time_millis: 33.241, usercpu_time_millis_testing: 1.106, usercpu_time_millis_training: 32.135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8822, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -1131.3545, mean_absolute_error: 0.1022, 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: 0.8618, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2196, root_relative_squared_error: 0.9027, scimark_benchmark: 1840.1194, usercpu_time_millis: 34.759, usercpu_time_millis_testing: 0.613, usercpu_time_millis_training: 34.146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8982, f_measure: 0.9203, kappa: 0.1742, kb_relative_information_score: -770.9796, mean_absolute_error: 0.0956, 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: 0.8063, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2111, root_relative_squared_error: 0.868, scimark_benchmark: 1737.1621, usercpu_time_millis: 27.61, usercpu_time_millis_testing: 0.848, usercpu_time_millis_training: 26.762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9029, f_measure: 0.9183, kappa: 0.1479, kb_relative_information_score: -823.7563, mean_absolute_error: 0.0973, 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: 0.8203, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2107, root_relative_squared_error: 0.8665, scimark_benchmark: 1779.1796, usercpu_time_millis: 29.75, usercpu_time_millis_testing: 1.42, usercpu_time_millis_training: 28.33,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8929, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -918.1706, mean_absolute_error: 0.099, 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: 0.8346, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2156, root_relative_squared_error: 0.8862, scimark_benchmark: 1787.3497, usercpu_time_millis: 27.532, usercpu_time_millis_testing: 1.152, usercpu_time_millis_training: 26.38,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8512, f_measure: 0.9063, kb_relative_information_score: -1466.9422, mean_absolute_error: 0.1074, 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: 0.9056, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2284, root_relative_squared_error: 0.939, scimark_benchmark: 1790.2164, usercpu_time_millis: 26.305, usercpu_time_millis_testing: 0.547, usercpu_time_millis_training: 25.758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8955, f_measure: 0.9127, kappa: 0.0778, kb_relative_information_score: -853.7594, mean_absolute_error: 0.097, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9354, predictive_accuracy: 0.9392, prior_entropy: 0.3411, recall: 0.9392, relative_absolute_error: 0.8176, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2136, root_relative_squared_error: 0.8781, scimark_benchmark: 1838.2065, usercpu_time_millis: 25.935, usercpu_time_millis_testing: 0.751, usercpu_time_millis_training: 25.184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9028, f_measure: 0.9211, kappa: 0.1838, kb_relative_information_score: -784.8644, mean_absolute_error: 0.0959, 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: 0.8089, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2098, root_relative_squared_error: 0.8625, scimark_benchmark: 1813.4836, usercpu_time_millis: 21.494, usercpu_time_millis_testing: 0.622, usercpu_time_millis_training: 20.872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8867, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -1077.0476, mean_absolute_error: 0.1016, 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: 0.857, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2198, root_relative_squared_error: 0.9036, scimark_benchmark: 1849.9064, usercpu_time_millis: 22.39, usercpu_time_millis_testing: 0.811, usercpu_time_millis_training: 21.579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8692, f_measure: 0.9063, kb_relative_information_score: -1237.7775, mean_absolute_error: 0.1045, 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: 0.881, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2241, root_relative_squared_error: 0.9215, scimark_benchmark: 780.4727, usercpu_time_millis: 13.631, usercpu_time_millis_testing: 0.251, usercpu_time_millis_training: 13.38,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8902, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -941.9836, mean_absolute_error: 0.0982, 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: 0.8279, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2156, root_relative_squared_error: 0.8863, scimark_benchmark: 1844.1673, usercpu_time_millis: 11.122, usercpu_time_millis_testing: 0.192, usercpu_time_millis_training: 10.93,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9018, f_measure: 0.9227, kappa: 0.2069, kb_relative_information_score: -687.6246, mean_absolute_error: 0.0935, 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: 0.7883, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2099, root_relative_squared_error: 0.8632, scimark_benchmark: 1851.8567, usercpu_time_millis: 9.697, usercpu_time_millis_testing: 0.232, usercpu_time_millis_training: 9.465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8867, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -1074.3399, mean_absolute_error: 0.1036, 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: 0.8736, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2217, root_relative_squared_error: 0.9117, scimark_benchmark: 780.7223, usercpu_time_millis: 5.779, usercpu_time_millis_testing: 0.346, usercpu_time_millis_training: 5.433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8566, f_measure: 0.9073, kappa: 0.0116, kb_relative_information_score: -1276.7291, mean_absolute_error: 0.1062, 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: 0.895, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2248, root_relative_squared_error: 0.9242, scimark_benchmark: 1849.3754, usercpu_time_millis: 6.771, usercpu_time_millis_testing: 0.172, usercpu_time_millis_training: 6.599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.9063, kb_relative_information_score: 3.6832, 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: 1837.6489, usercpu_time_millis: 3.624, usercpu_time_millis_testing: 0.546, usercpu_time_millis_training: 3.078,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.9063, kb_relative_information_score: -70.1265, 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: 1807.3098, usercpu_time_millis: 0.608, usercpu_time_millis_testing: 0.073, usercpu_time_millis_training: 0.535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8968, f_measure: 0.9097, kappa: 0.0438, kb_relative_information_score: -929.8721, mean_absolute_error: 0.098, 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: 0.8264, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2152, root_relative_squared_error: 0.885, scimark_benchmark: 1826.9175, usercpu_time_millis: 1.066, usercpu_time_millis_testing: 0.056, usercpu_time_millis_training: 1.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.899, f_measure: 0.926, kappa: 0.2445, kb_relative_information_score: -809.8685, mean_absolute_error: 0.0938, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9356, predictive_accuracy: 0.944, prior_entropy: 0.3411, recall: 0.944, relative_absolute_error: 0.7906, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2095, root_relative_squared_error: 0.8613, scimark_benchmark: 1841.2811, usercpu_time_millis: 119.297, usercpu_time_millis_testing: 1.344, usercpu_time_millis_training: 117.953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8867, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -1046.3947, mean_absolute_error: 0.0998, 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: 0.8416, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2169, root_relative_squared_error: 0.8916, scimark_benchmark: 1969.4077, usercpu_time_millis: 68.429, usercpu_time_millis_testing: 0.645, usercpu_time_millis_training: 67.784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8562, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -1384.2636, mean_absolute_error: 0.1055, 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: 0.8891, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2266, root_relative_squared_error: 0.9317, scimark_benchmark: 1842.3188, usercpu_time_millis: 61.359, usercpu_time_millis_testing: 0.951, usercpu_time_millis_training: 60.408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9012, f_measure: 0.928, kappa: 0.2688, kb_relative_information_score: -764.8687, mean_absolute_error: 0.0932, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9365, predictive_accuracy: 0.9448, prior_entropy: 0.3411, recall: 0.9448, relative_absolute_error: 0.7858, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2082, root_relative_squared_error: 0.8562, scimark_benchmark: 2128.4581, usercpu_time_millis: 56.433, usercpu_time_millis_testing: 0.936, usercpu_time_millis_training: 55.497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8875, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -1042.2123, mean_absolute_error: 0.0997, 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: 0.8407, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2168, root_relative_squared_error: 0.8914, scimark_benchmark: 1854.0399, usercpu_time_millis: 59.12, usercpu_time_millis_testing: 0.779, usercpu_time_millis_training: 58.341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8795, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -1135.8523, mean_absolute_error: 0.1025, 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: 0.8642, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2193, root_relative_squared_error: 0.9015, scimark_benchmark: 1970.046, usercpu_time_millis: 56.03, usercpu_time_millis_testing: 0.826, usercpu_time_millis_training: 55.204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9121, f_measure: 0.9281, kappa: 0.2807, kb_relative_information_score: -574.6417, mean_absolute_error: 0.0899, 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: 0.7576, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2059, root_relative_squared_error: 0.8467, scimark_benchmark: 1840.1845, usercpu_time_millis: 33.409, usercpu_time_millis_testing: 1.48, usercpu_time_millis_training: 31.929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8978, f_measure: 0.9237, kappa: 0.2215, kb_relative_information_score: -790.451, mean_absolute_error: 0.0933, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9295, predictive_accuracy: 0.942, prior_entropy: 0.3411, recall: 0.942, relative_absolute_error: 0.7863, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2099, root_relative_squared_error: 0.8629, scimark_benchmark: 1849.7595, usercpu_time_millis: 41.795, usercpu_time_millis_testing: 0.6, usercpu_time_millis_training: 41.195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8268, f_measure: 0.9063, kb_relative_information_score: -1539.3101, 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: 0.9213, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2308, root_relative_squared_error: 0.9491, scimark_benchmark: 2127.5654, usercpu_time_millis: 36.703, usercpu_time_millis_testing: 0.726, usercpu_time_millis_training: 35.977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8691, f_measure: 0.9063, kb_relative_information_score: -1220.1769, 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: 0.8878, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2238, root_relative_squared_error: 0.9202, scimark_benchmark: 1852.0126, usercpu_time_millis: 32.156, usercpu_time_millis_testing: 0.931, usercpu_time_millis_training: 31.225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8949, f_measure: 0.9253, kappa: 0.2356, kb_relative_information_score: -817.5312, mean_absolute_error: 0.0939, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9348, predictive_accuracy: 0.9436, prior_entropy: 0.3411, recall: 0.9436, relative_absolute_error: 0.7913, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2101, root_relative_squared_error: 0.864, scimark_benchmark: 1831.2726, usercpu_time_millis: 29.139, usercpu_time_millis_testing: 0.339, usercpu_time_millis_training: 28.8,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8637, f_measure: 0.9171, kappa: 0.1889, kb_relative_information_score: -887.539, mean_absolute_error: 0.095, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9102, predictive_accuracy: 0.9317, prior_entropy: 0.3411, recall: 0.9317, relative_absolute_error: 0.8007, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2279, root_relative_squared_error: 0.9372, scimark_benchmark: 1855.0232, usercpu_time_millis: 25.796, usercpu_time_millis_testing: 0.188, usercpu_time_millis_training: 25.608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8521, f_measure: 0.9063, kb_relative_information_score: -1370.2508, mean_absolute_error: 0.1073, 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: 0.905, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2271, root_relative_squared_error: 0.9339, scimark_benchmark: 1834.6918, usercpu_time_millis: 19.904, usercpu_time_millis_testing: 0.338, usercpu_time_millis_training: 19.566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8304, f_measure: 0.9063, kb_relative_information_score: -1417.2261, 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: 0.9182, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2294, root_relative_squared_error: 0.9432, scimark_benchmark: 1849.4321, usercpu_time_millis: 21.539, usercpu_time_millis_testing: 0.601, usercpu_time_millis_training: 20.938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9104, f_measure: 0.927, kappa: 0.2661, kb_relative_information_score: -602.478, mean_absolute_error: 0.091, 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: 0.7672, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2071, root_relative_squared_error: 0.8514, scimark_benchmark: 1838.3194, usercpu_time_millis: 13.919, usercpu_time_millis_testing: 0.49, usercpu_time_millis_training: 13.429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8411, f_measure: 0.9063, kb_relative_information_score: -1391.501, 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: 0.9177, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2296, root_relative_squared_error: 0.9442, scimark_benchmark: 1841.7343, usercpu_time_millis: 12.381, usercpu_time_millis_testing: 0.714, usercpu_time_millis_training: 11.667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8266, f_measure: 0.9063, kb_relative_information_score: -1293.8708, 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: 0.2303, root_relative_squared_error: 0.9467, scimark_benchmark: 1852.4008, usercpu_time_millis: 14.333, usercpu_time_millis_testing: 0.549, usercpu_time_millis_training: 13.784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.9063, kb_relative_information_score: -2.3069, 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: 0.9981, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1840.2451, usercpu_time_millis: 4.326, usercpu_time_millis_testing: 0.601, usercpu_time_millis_training: 3.725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8853, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -1038.5955, mean_absolute_error: 0.1004, 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: 0.8467, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.217, root_relative_squared_error: 0.8921, scimark_benchmark: 1727.0358, usercpu_time_millis: 7.147, usercpu_time_millis_testing: 0.134, usercpu_time_millis_training: 7.013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8618, f_measure: 0.9063, kb_relative_information_score: -1229.7527, 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: 0.8959, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2248, root_relative_squared_error: 0.9244, scimark_benchmark: 1828.0989, usercpu_time_millis: 7.466, usercpu_time_millis_testing: 0.332, usercpu_time_millis_training: 7.134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8697, f_measure: 0.9063, kb_relative_information_score: -1180.5842, mean_absolute_error: 0.105, 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: 0.8854, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.224, root_relative_squared_error: 0.9211, scimark_benchmark: 1839.6734, usercpu_time_millis: 1.724, usercpu_time_millis_testing: 0.083, usercpu_time_millis_training: 1.641,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8938, f_measure: 0.9254, kappa: 0.2443, kb_relative_information_score: -731.0138, mean_absolute_error: 0.0921, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9298, predictive_accuracy: 0.9424, prior_entropy: 0.3411, recall: 0.9424, relative_absolute_error: 0.7767, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2097, root_relative_squared_error: 0.8622, scimark_benchmark: 1834.1659, usercpu_time_millis: 4.65, usercpu_time_millis_testing: 0.098, usercpu_time_millis_training: 4.552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.9063, kb_relative_information_score: -0.6134, 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: 0.9976, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1834.6918, usercpu_time_millis: 1.084, usercpu_time_millis_testing: 0.146, usercpu_time_millis_training: 0.938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9063, kb_relative_information_score: -8.7149, 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: 1725.723, usercpu_time_millis: 2.493, usercpu_time_millis_testing: 0.332, usercpu_time_millis_training: 2.161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8895, f_measure: 0.9133, kappa: 0.093, kb_relative_information_score: -896.6843, mean_absolute_error: 0.0964, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9186, predictive_accuracy: 0.938, prior_entropy: 0.3411, recall: 0.938, relative_absolute_error: 0.8129, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2137, root_relative_squared_error: 0.8785, scimark_benchmark: 1837.7149, usercpu_time_millis: 1.417, usercpu_time_millis_testing: 0.054, usercpu_time_millis_training: 1.363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9063, kb_relative_information_score: 5.2594, 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: 0.9961, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1847.2191, usercpu_time_millis: 2.214, usercpu_time_millis_testing: 0.362, usercpu_time_millis_training: 1.852,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.9063, kb_relative_information_score: -10.4496, mean_absolute_error: 0.1181, 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: 0.9959, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1853.0566, usercpu_time_millis: 0.704, usercpu_time_millis_testing: 0.08, usercpu_time_millis_training: 0.624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8928, f_measure: 0.9178, kappa: 0.145, kb_relative_information_score: -838.9144, mean_absolute_error: 0.0954, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.929, predictive_accuracy: 0.9404, prior_entropy: 0.3411, recall: 0.9404, relative_absolute_error: 0.8042, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.213, root_relative_squared_error: 0.8759, scimark_benchmark: 1850.2813, usercpu_time_millis: 102.288, usercpu_time_millis_testing: 1.343, usercpu_time_millis_training: 100.945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8699, f_measure: 0.9255, kappa: 0.2861, kb_relative_information_score: -840.1583, mean_absolute_error: 0.093, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9211, predictive_accuracy: 0.9365, prior_entropy: 0.3411, recall: 0.9365, relative_absolute_error: 0.7838, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2242, root_relative_squared_error: 0.922, scimark_benchmark: 1835.7751, usercpu_time_millis: 85.836, usercpu_time_millis_testing: 0.923, usercpu_time_millis_training: 84.913,

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