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: 0.9138, f_measure: 0.92, kappa: 0.1676, kb_relative_information_score: -628.2683, mean_absolute_error: 0.0944, 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: 0.7959, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2084, root_relative_squared_error: 0.8569, scimark_benchmark: 1273.6583, usercpu_time_millis: 38.877, usercpu_time_millis_testing: 2.962, usercpu_time_millis_training: 35.915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9011, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -917.7259, mean_absolute_error: 0.0992, 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: 0.8364, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2166, root_relative_squared_error: 0.8905, scimark_benchmark: 1279.9424, usercpu_time_millis: 59.129, usercpu_time_millis_testing: 3.467, usercpu_time_millis_training: 55.662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.916, f_measure: 0.9269, kappa: 0.2583, kb_relative_information_score: -592.6626, mean_absolute_error: 0.0914, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9343, predictive_accuracy: 0.944, prior_entropy: 0.3411, recall: 0.944, relative_absolute_error: 0.7709, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2054, root_relative_squared_error: 0.8444, scimark_benchmark: 1256.1801, usercpu_time_millis: 109.231, usercpu_time_millis_testing: 5.835, usercpu_time_millis_training: 103.396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.911, f_measure: 0.9124, kappa: 0.0766, kb_relative_information_score: -729.6179, mean_absolute_error: 0.0965, 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: 0.8137, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2109, root_relative_squared_error: 0.8672, scimark_benchmark: 1268.1907, usercpu_time_millis: 42.379, usercpu_time_millis_testing: 2.777, usercpu_time_millis_training: 39.602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9087, f_measure: 0.9214, kappa: 0.1854, kb_relative_information_score: -659.5174, mean_absolute_error: 0.0947, 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: 0.7983, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.209, root_relative_squared_error: 0.8592, scimark_benchmark: 1263.6912, usercpu_time_millis: 51.464, usercpu_time_millis_testing: 3.086, usercpu_time_millis_training: 48.378,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.893, f_measure: 0.9071, kappa: 0.0108, kb_relative_information_score: -980.9868, mean_absolute_error: 0.102, 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: 0.8596, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2187, root_relative_squared_error: 0.8992, scimark_benchmark: 1277.4712, usercpu_time_millis: 19.177, usercpu_time_millis_testing: 1.163, usercpu_time_millis_training: 18.014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8605, f_measure: 0.9063, kb_relative_information_score: -1077.5155, 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: 0.9166, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2281, root_relative_squared_error: 0.9379, scimark_benchmark: 1269.885, usercpu_time_millis: 39.066, usercpu_time_millis_testing: 4.064, usercpu_time_millis_training: 35.002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9129, f_measure: 0.923, kappa: 0.2043, kb_relative_information_score: -644.2099, mean_absolute_error: 0.0935, 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: 0.788, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2082, root_relative_squared_error: 0.856, scimark_benchmark: 1282.5566, usercpu_time_millis: 25.655, usercpu_time_millis_testing: 1.663, usercpu_time_millis_training: 23.992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9024, f_measure: 0.9099, kappa: 0.0448, kb_relative_information_score: -811.3095, mean_absolute_error: 0.0989, 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: 0.8338, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2135, root_relative_squared_error: 0.878, scimark_benchmark: 1279.944, usercpu_time_millis: 23.845, usercpu_time_millis_testing: 1.909, usercpu_time_millis_training: 21.936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9144, f_measure: 0.9253, kappa: 0.2356, kb_relative_information_score: -614.1718, mean_absolute_error: 0.0927, 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: 0.7813, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2063, root_relative_squared_error: 0.848, scimark_benchmark: 1281.3277, usercpu_time_millis: 32.576, usercpu_time_millis_testing: 1.851, usercpu_time_millis_training: 30.725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8473, f_measure: 0.9063, kb_relative_information_score: -1303.2369, 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: 0.2294, root_relative_squared_error: 0.943, scimark_benchmark: 1278.0333, usercpu_time_millis: 11.379, usercpu_time_millis_testing: 0.649, usercpu_time_millis_training: 10.73,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9051, f_measure: 0.909, kappa: 0.0336, kb_relative_information_score: -869.15, 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: 0.8252, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2148, root_relative_squared_error: 0.8831, scimark_benchmark: 1250.6939, usercpu_time_millis: 16.179, usercpu_time_millis_testing: 1.151, usercpu_time_millis_training: 15.028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8967, f_measure: 0.9071, kappa: 0.0108, kb_relative_information_score: -982.5535, 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: 0.2177, root_relative_squared_error: 0.8949, scimark_benchmark: 1269.014, usercpu_time_millis: 124.03, usercpu_time_millis_testing: 6.077, usercpu_time_millis_training: 117.953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9052, f_measure: 0.9099, kappa: 0.0448, kb_relative_information_score: -806.1349, mean_absolute_error: 0.0973, 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: 0.8205, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2123, root_relative_squared_error: 0.8728, scimark_benchmark: 1245.4008, usercpu_time_millis: 120.775, usercpu_time_millis_testing: 5.7, usercpu_time_millis_training: 115.075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8951, f_measure: 0.9073, kappa: 0.0116, kb_relative_information_score: -880.0385, mean_absolute_error: 0.102, 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: 0.8597, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2185, root_relative_squared_error: 0.8982, scimark_benchmark: 1274.4609, usercpu_time_millis: 44.863, usercpu_time_millis_testing: 4.35, usercpu_time_millis_training: 40.513,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9144, f_measure: 0.9151, kappa: 0.1084, kb_relative_information_score: -624.0767, mean_absolute_error: 0.095, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9338, predictive_accuracy: 0.94, prior_entropy: 0.3411, recall: 0.94, relative_absolute_error: 0.8005, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2098, root_relative_squared_error: 0.8627, scimark_benchmark: 1277.4745, usercpu_time_millis: 98.964, usercpu_time_millis_testing: 7.894, usercpu_time_millis_training: 91.07,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8516, f_measure: 0.9063, kb_relative_information_score: -1219.5656, 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: 0.2297, root_relative_squared_error: 0.9444, scimark_benchmark: 1267.2796, usercpu_time_millis: 34.51, usercpu_time_millis_testing: 2.738, usercpu_time_millis_training: 31.772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8322, f_measure: 0.9063, kb_relative_information_score: -1202.1241, mean_absolute_error: 0.1109, 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: 0.9351, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2322, root_relative_squared_error: 0.9547, scimark_benchmark: 1251.2049, usercpu_time_millis: 13.996, usercpu_time_millis_testing: 1.183, usercpu_time_millis_training: 12.813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8299, f_measure: 0.9063, kb_relative_information_score: -1164.789, mean_absolute_error: 0.1098, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9253, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2308, root_relative_squared_error: 0.9488, scimark_benchmark: 1263.6901, usercpu_time_millis: 33.534, usercpu_time_millis_testing: 2.951, usercpu_time_millis_training: 30.583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9142, f_measure: 0.92, kappa: 0.1676, kb_relative_information_score: -638.1349, mean_absolute_error: 0.094, 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: 0.7923, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2088, root_relative_squared_error: 0.8583, scimark_benchmark: 1263.4559, usercpu_time_millis: 25.147, usercpu_time_millis_testing: 1.996, usercpu_time_millis_training: 23.151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9045, f_measure: 0.9149, kappa: 0.1071, kb_relative_information_score: -774.0004, mean_absolute_error: 0.0967, 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: 0.8149, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2113, root_relative_squared_error: 0.869, scimark_benchmark: 1239.5634, usercpu_time_millis: 5.002, usercpu_time_millis_testing: 0.4, usercpu_time_millis_training: 4.602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9073, f_measure: 0.9127, kappa: 0.0778, kb_relative_information_score: -755.0292, mean_absolute_error: 0.0974, 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: 0.8216, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2117, root_relative_squared_error: 0.8703, scimark_benchmark: 1276.3512, usercpu_time_millis: 20.274, usercpu_time_millis_testing: 1.471, usercpu_time_millis_training: 18.803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.911, f_measure: 0.9197, kappa: 0.1661, kb_relative_information_score: -688.9669, mean_absolute_error: 0.0952, 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: 0.8027, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2088, root_relative_squared_error: 0.8584, scimark_benchmark: 1251.6664, usercpu_time_millis: 19.412, usercpu_time_millis_testing: 1.261, usercpu_time_millis_training: 18.151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.878, f_measure: 0.9063, kb_relative_information_score: -1068.0569, 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: 0.888, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2233, root_relative_squared_error: 0.9181, scimark_benchmark: 1249.1407, usercpu_time_millis: 15.082, usercpu_time_millis_testing: 1.406, usercpu_time_millis_training: 13.676,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9134, f_measure: 0.925, kappa: 0.2302, kb_relative_information_score: -641.8842, mean_absolute_error: 0.0934, 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: 0.7871, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2067, root_relative_squared_error: 0.85, scimark_benchmark: 1264.9731, usercpu_time_millis: 71.736, usercpu_time_millis_testing: 3.719, usercpu_time_millis_training: 68.017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9114, f_measure: 0.9238, kappa: 0.2136, kb_relative_information_score: -619.0286, mean_absolute_error: 0.093, 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: 0.7844, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2078, root_relative_squared_error: 0.8545, scimark_benchmark: 1262.4549, usercpu_time_millis: 66.231, usercpu_time_millis_testing: 3.4, usercpu_time_millis_training: 62.831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.914, f_measure: 0.9255, kappa: 0.2374, kb_relative_information_score: -618.3389, mean_absolute_error: 0.0928, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9365, predictive_accuracy: 0.944, prior_entropy: 0.3411, recall: 0.944, relative_absolute_error: 0.7826, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2066, root_relative_squared_error: 0.8496, scimark_benchmark: 1263.1108, usercpu_time_millis: 63.2, usercpu_time_millis_testing: 3.794, usercpu_time_millis_training: 59.406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9055, f_measure: 0.9099, kappa: 0.0448, kb_relative_information_score: -790.1548, mean_absolute_error: 0.0971, 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: 0.8187, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.212, root_relative_squared_error: 0.8716, scimark_benchmark: 1271.3232, usercpu_time_millis: 59.642, usercpu_time_millis_testing: 3.195, usercpu_time_millis_training: 56.447,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9102, f_measure: 0.9073, kappa: 0.0116, kb_relative_information_score: -719.8663, mean_absolute_error: 0.0984, 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: 0.8295, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2131, root_relative_squared_error: 0.8762, scimark_benchmark: 1265.1567, usercpu_time_millis: 34.728, usercpu_time_millis_testing: 2.957, usercpu_time_millis_training: 31.771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9125, f_measure: 0.9183, kappa: 0.1479, kb_relative_information_score: -680.9087, mean_absolute_error: 0.0954, 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: 0.8045, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.209, root_relative_squared_error: 0.8592, scimark_benchmark: 1272.7766, usercpu_time_millis: 32.894, usercpu_time_millis_testing: 2.401, usercpu_time_millis_training: 30.493,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.886, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -1077.4421, mean_absolute_error: 0.104, 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: 0.8767, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2221, root_relative_squared_error: 0.9133, scimark_benchmark: 1273.2804, usercpu_time_millis: 90.789, usercpu_time_millis_testing: 5.08, usercpu_time_millis_training: 85.709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8457, f_measure: 0.9063, kb_relative_information_score: -1186.831, mean_absolute_error: 0.1101, 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: 0.9279, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2305, root_relative_squared_error: 0.9476, scimark_benchmark: 1270.8796, usercpu_time_millis: 21.529, usercpu_time_millis_testing: 1.943, usercpu_time_millis_training: 19.586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8965, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -953.7002, mean_absolute_error: 0.1025, 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: 0.8641, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2195, root_relative_squared_error: 0.9023, scimark_benchmark: 1273.5677, usercpu_time_millis: 71.172, usercpu_time_millis_testing: 5.674, usercpu_time_millis_training: 65.498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.831, f_measure: 0.9063, kb_relative_information_score: -1180.3756, 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: 0.9194, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2299, root_relative_squared_error: 0.9451, scimark_benchmark: 1267.0752, usercpu_time_millis: 10.034, usercpu_time_millis_testing: 0.753, usercpu_time_millis_training: 9.281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9176, f_measure: 0.9258, kappa: 0.2392, kb_relative_information_score: -565.0943, mean_absolute_error: 0.0917, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9383, predictive_accuracy: 0.9444, prior_entropy: 0.3411, recall: 0.9444, relative_absolute_error: 0.7729, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.206, root_relative_squared_error: 0.847, scimark_benchmark: 1257.6775, usercpu_time_millis: 64.478, usercpu_time_millis_testing: 4.814, usercpu_time_millis_training: 59.664,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8636, f_measure: 0.9063, kb_relative_information_score: -1163.937, mean_absolute_error: 0.1079, 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: 0.9099, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2278, root_relative_squared_error: 0.9367, scimark_benchmark: 1260.7312, usercpu_time_millis: 28.845, usercpu_time_millis_testing: 1.988, usercpu_time_millis_training: 26.857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9009, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -907.8972, mean_absolute_error: 0.0994, 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: 0.8383, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2163, root_relative_squared_error: 0.8894, scimark_benchmark: 1271.506, usercpu_time_millis: 91.447, usercpu_time_millis_testing: 5.446, usercpu_time_millis_training: 86.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8759, f_measure: 0.9063, kb_relative_information_score: -1119.6956, mean_absolute_error: 0.1069, 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: 0.9012, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2263, root_relative_squared_error: 0.9305, scimark_benchmark: 1274.6677, usercpu_time_millis: 16.117, usercpu_time_millis_testing: 1.454, usercpu_time_millis_training: 14.663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.911, f_measure: 0.9189, kappa: 0.1563, kb_relative_information_score: -672.6693, mean_absolute_error: 0.0939, 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: 0.7917, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2095, root_relative_squared_error: 0.8612, scimark_benchmark: 1283.5134, usercpu_time_millis: 106.053, usercpu_time_millis_testing: 5.545, usercpu_time_millis_training: 100.508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9151, f_measure: 0.92, kappa: 0.1676, kb_relative_information_score: -627.2903, mean_absolute_error: 0.0942, 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: 0.7943, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2086, root_relative_squared_error: 0.8577, scimark_benchmark: 1278.8642, usercpu_time_millis: 71.467, usercpu_time_millis_testing: 5.608, usercpu_time_millis_training: 65.859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9103, f_measure: 0.9205, kappa: 0.1758, kb_relative_information_score: -679.1012, mean_absolute_error: 0.0953, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9347, predictive_accuracy: 0.942, prior_entropy: 0.3411, recall: 0.942, relative_absolute_error: 0.8036, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2086, root_relative_squared_error: 0.8575, scimark_benchmark: 1277.0421, usercpu_time_millis: 82.474, usercpu_time_millis_testing: 5.687, usercpu_time_millis_training: 76.787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.885, f_measure: 0.9063, kb_relative_information_score: -988.4244, 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: 0.8851, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2222, root_relative_squared_error: 0.9136, scimark_benchmark: 1279.7148, usercpu_time_millis: 8.708, usercpu_time_millis_testing: 0.997, usercpu_time_millis_training: 7.711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6195, f_measure: 0.9065, kappa: 0.1971, kb_relative_information_score: -561.3438, mean_absolute_error: 0.0964, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.905, predictive_accuracy: 0.9081, prior_entropy: 0.3411, recall: 0.9081, relative_absolute_error: 0.8127, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2976, root_relative_squared_error: 1.2235, scimark_benchmark: 1249.3327, usercpu_time_millis: 2.348, usercpu_time_millis_testing: 0.412, usercpu_time_millis_training: 1.936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8874, f_measure: 0.9063, kb_relative_information_score: -1014.5722, mean_absolute_error: 0.1035, 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: 0.8723, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.221, root_relative_squared_error: 0.9086, scimark_benchmark: 1263.5783, usercpu_time_millis: 60.716, usercpu_time_millis_testing: 4.593, usercpu_time_millis_training: 56.123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9142, f_measure: 0.9222, kappa: 0.1949, kb_relative_information_score: -652.8489, mean_absolute_error: 0.0944, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9364, predictive_accuracy: 0.9428, prior_entropy: 0.3411, recall: 0.9428, relative_absolute_error: 0.7957, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2077, root_relative_squared_error: 0.8539, scimark_benchmark: 1265.5398, usercpu_time_millis: 59.518, usercpu_time_millis_testing: 3.793, usercpu_time_millis_training: 55.725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9058, f_measure: 0.9073, kappa: 0.0116, kb_relative_information_score: -765.0496, mean_absolute_error: 0.1002, 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: 0.8449, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2156, root_relative_squared_error: 0.8863, scimark_benchmark: 1259.2679, usercpu_time_millis: 52.602, usercpu_time_millis_testing: 5.218, usercpu_time_millis_training: 47.384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9112, f_measure: 0.9136, kappa: 0.0885, kb_relative_information_score: -678.2683, mean_absolute_error: 0.0967, 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: 0.8156, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2112, root_relative_squared_error: 0.8683, scimark_benchmark: 1265.4341, usercpu_time_millis: 39.766, usercpu_time_millis_testing: 3.615, usercpu_time_millis_training: 36.151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.914, f_measure: 0.9253, kappa: 0.232, kb_relative_information_score: -662.6861, mean_absolute_error: 0.0937, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9394, predictive_accuracy: 0.9444, prior_entropy: 0.3411, recall: 0.9444, relative_absolute_error: 0.7901, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2067, root_relative_squared_error: 0.85, scimark_benchmark: 1272.1955, usercpu_time_millis: 115.917, usercpu_time_millis_testing: 6.143, usercpu_time_millis_training: 109.774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.915, f_measure: 0.9186, kappa: 0.1493, kb_relative_information_score: -659.7718, mean_absolute_error: 0.0949, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9378, predictive_accuracy: 0.9416, prior_entropy: 0.3411, recall: 0.9416, relative_absolute_error: 0.8003, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2088, root_relative_squared_error: 0.8587, scimark_benchmark: 1280.0693, usercpu_time_millis: 52.316, usercpu_time_millis_testing: 4.167, usercpu_time_millis_training: 48.149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9121, f_measure: 0.9205, kappa: 0.1758, kb_relative_information_score: -675.8721, mean_absolute_error: 0.0951, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9347, predictive_accuracy: 0.942, prior_entropy: 0.3411, recall: 0.942, relative_absolute_error: 0.8021, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2081, root_relative_squared_error: 0.8558, scimark_benchmark: 1246.166, usercpu_time_millis: 92.143, usercpu_time_millis_testing: 5.637, usercpu_time_millis_training: 86.506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9008, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -867.7421, mean_absolute_error: 0.1014, 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: 0.8548, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2181, root_relative_squared_error: 0.8968, scimark_benchmark: 1265.6979, usercpu_time_millis: 45.178, usercpu_time_millis_testing: 4.395, usercpu_time_millis_training: 40.783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9092, f_measure: 0.9145, kappa: 0.0992, kb_relative_information_score: -697.0219, mean_absolute_error: 0.0961, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9376, predictive_accuracy: 0.94, prior_entropy: 0.3411, recall: 0.94, relative_absolute_error: 0.8103, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2109, root_relative_squared_error: 0.867, scimark_benchmark: 1274.6496, usercpu_time_millis: 32.133, usercpu_time_millis_testing: 2.627, usercpu_time_millis_training: 29.506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8355, f_measure: 0.9063, kb_relative_information_score: -802.4629, mean_absolute_error: 0.1135, 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: 0.9567, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.235, root_relative_squared_error: 0.9661, scimark_benchmark: 1275.4616, usercpu_time_millis: 11.038, usercpu_time_millis_testing: 1.029, usercpu_time_millis_training: 10.009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9074, f_measure: 0.9157, kappa: 0.1175, kb_relative_information_score: -742.3157, mean_absolute_error: 0.0974, 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: 0.8212, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2107, root_relative_squared_error: 0.8662, scimark_benchmark: 1269.1811, usercpu_time_millis: 26.045, usercpu_time_millis_testing: 2.484, usercpu_time_millis_training: 23.561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8593, f_measure: 0.9063, kb_relative_information_score: -1008.3532, mean_absolute_error: 0.1094, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9219, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2288, root_relative_squared_error: 0.9408, scimark_benchmark: 1262.7641, usercpu_time_millis: 24.217, usercpu_time_millis_testing: 3.111, usercpu_time_millis_training: 21.106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8624, f_measure: 0.9063, kb_relative_information_score: -1192.2316, 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: 0.913, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2284, root_relative_squared_error: 0.9391, scimark_benchmark: 1250.7242, usercpu_time_millis: 40.221, usercpu_time_millis_testing: 3.201, usercpu_time_millis_training: 37.02,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8716, f_measure: 0.9063, kb_relative_information_score: -1075.1544, mean_absolute_error: 0.1075, 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: 0.9067, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2267, root_relative_squared_error: 0.9322, scimark_benchmark: 1275.5586, usercpu_time_millis: 37.991, usercpu_time_millis_testing: 3.629, usercpu_time_millis_training: 34.362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8728, f_measure: 0.9063, kb_relative_information_score: -1075.0919, 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: 0.8997, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2255, root_relative_squared_error: 0.9274, scimark_benchmark: 1271.4115, usercpu_time_millis: 33.372, usercpu_time_millis_testing: 3.119, usercpu_time_millis_training: 30.253,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8749, f_measure: 0.9063, kb_relative_information_score: -1001.4198, mean_absolute_error: 0.1078, 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: 0.9087, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2265, root_relative_squared_error: 0.9315, scimark_benchmark: 1259.9725, usercpu_time_millis: 30.213, usercpu_time_millis_testing: 2.715, usercpu_time_millis_training: 27.498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8978, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -895.8394, mean_absolute_error: 0.0996, 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: 0.8398, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.216, root_relative_squared_error: 0.888, scimark_benchmark: 1267.621, usercpu_time_millis: 28.453, usercpu_time_millis_testing: 1.628, usercpu_time_millis_training: 26.825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9147, f_measure: 0.9219, kappa: 0.1932, kb_relative_information_score: -616.5798, mean_absolute_error: 0.0928, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9342, predictive_accuracy: 0.9424, prior_entropy: 0.3411, recall: 0.9424, relative_absolute_error: 0.7823, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2073, root_relative_squared_error: 0.8523, scimark_benchmark: 1262.1307, usercpu_time_millis: 25.296, usercpu_time_millis_testing: 2.014, usercpu_time_millis_training: 23.282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9153, f_measure: 0.9243, kappa: 0.2211, kb_relative_information_score: -630.563, mean_absolute_error: 0.0927, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9367, predictive_accuracy: 0.9436, prior_entropy: 0.3411, recall: 0.9436, relative_absolute_error: 0.7816, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2057, root_relative_squared_error: 0.8459, scimark_benchmark: 1276.5225, usercpu_time_millis: 123.838, usercpu_time_millis_testing: 6.422, usercpu_time_millis_training: 117.416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9038, f_measure: 0.909, kappa: 0.0336, kb_relative_information_score: -795.366, mean_absolute_error: 0.0976, 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: 0.8232, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.213, root_relative_squared_error: 0.8758, scimark_benchmark: 1265.7312, usercpu_time_millis: 64.915, usercpu_time_millis_testing: 3.845, usercpu_time_millis_training: 61.07,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9131, f_measure: 0.9166, kappa: 0.1277, kb_relative_information_score: -642.9947, mean_absolute_error: 0.0951, 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: 0.802, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2094, root_relative_squared_error: 0.8609, scimark_benchmark: 1258.5546, usercpu_time_millis: 60.902, usercpu_time_millis_testing: 4.961, usercpu_time_millis_training: 55.941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9116, f_measure: 0.923, kappa: 0.2043, kb_relative_information_score: -681.0913, mean_absolute_error: 0.0946, 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: 0.7979, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2086, root_relative_squared_error: 0.8576, scimark_benchmark: 1252.1838, usercpu_time_millis: 72.727, usercpu_time_millis_testing: 3.6, usercpu_time_millis_training: 69.127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9179, f_measure: 0.9255, kappa: 0.2374, kb_relative_information_score: -557.1796, mean_absolute_error: 0.091, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9365, predictive_accuracy: 0.944, prior_entropy: 0.3411, recall: 0.944, relative_absolute_error: 0.7672, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2055, root_relative_squared_error: 0.8449, scimark_benchmark: 1269.4299, usercpu_time_millis: 56.758, usercpu_time_millis_testing: 3.956, usercpu_time_millis_training: 52.802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.87, f_measure: 0.9063, kb_relative_information_score: -1071.2704, 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: 0.2285, root_relative_squared_error: 0.9396, scimark_benchmark: 1259.49, usercpu_time_millis: 4.558, usercpu_time_millis_testing: 0.416, usercpu_time_millis_training: 4.142,

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