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: 0.9143, f_measure: 0.9238, kappa: 0.2136, kb_relative_information_score: -648.2533, mean_absolute_error: 0.0935, 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: 0.7887, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2069, root_relative_squared_error: 0.8506, scimark_benchmark: 1251.1465, usercpu_time_millis: 125.632, usercpu_time_millis_testing: 6.308, usercpu_time_millis_training: 119.324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9107, f_measure: 0.9131, kappa: 0.0861, kb_relative_information_score: -730.2717, mean_absolute_error: 0.0973, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9263, predictive_accuracy: 0.9388, prior_entropy: 0.3411, recall: 0.9388, relative_absolute_error: 0.8201, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2103, root_relative_squared_error: 0.8647, scimark_benchmark: 1256.1218, usercpu_time_millis: 64.742, usercpu_time_millis_testing: 5.178, usercpu_time_millis_training: 59.564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8806, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -1131.7674, mean_absolute_error: 0.1054, 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: 0.8889, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2244, root_relative_squared_error: 0.9227, scimark_benchmark: 1249.4122, usercpu_time_millis: 41.302, usercpu_time_millis_testing: 3.206, usercpu_time_millis_training: 38.096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9119, f_measure: 0.9099, kappa: 0.0448, kb_relative_information_score: -691.1055, 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: 0.8183, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2118, root_relative_squared_error: 0.871, scimark_benchmark: 1249.9054, usercpu_time_millis: 39.396, usercpu_time_millis_testing: 3.421, usercpu_time_millis_training: 35.975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9068, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -784.1758, mean_absolute_error: 0.0985, 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: 0.8304, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2143, root_relative_squared_error: 0.8809, scimark_benchmark: 1265.4616, usercpu_time_millis: 45.061, usercpu_time_millis_testing: 3.971, usercpu_time_millis_training: 41.09,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8552, f_measure: 0.9063, kb_relative_information_score: -1230.4251, mean_absolute_error: 0.1087, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9162, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.229, root_relative_squared_error: 0.9414, scimark_benchmark: 1267.8886, usercpu_time_millis: 45.92, usercpu_time_millis_testing: 3.864, usercpu_time_millis_training: 42.056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9129, f_measure: 0.916, kappa: 0.1188, kb_relative_information_score: -650.6295, mean_absolute_error: 0.0944, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9349, predictive_accuracy: 0.9404, prior_entropy: 0.3411, recall: 0.9404, relative_absolute_error: 0.7959, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2094, root_relative_squared_error: 0.8608, scimark_benchmark: 1240.4929, usercpu_time_millis: 31.92, usercpu_time_millis_testing: 2.593, usercpu_time_millis_training: 29.327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9146, f_measure: 0.9227, kappa: 0.2026, kb_relative_information_score: -698.9252, mean_absolute_error: 0.0945, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9351, predictive_accuracy: 0.9428, prior_entropy: 0.3411, recall: 0.9428, relative_absolute_error: 0.7964, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2077, root_relative_squared_error: 0.854, scimark_benchmark: 1260.657, usercpu_time_millis: 19.797, usercpu_time_millis_testing: 1.231, usercpu_time_millis_training: 18.566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9036, f_measure: 0.909, kappa: 0.0336, kb_relative_information_score: -864.3536, mean_absolute_error: 0.0985, 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: 0.8305, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2142, root_relative_squared_error: 0.8806, scimark_benchmark: 1250.9151, usercpu_time_millis: 101.613, usercpu_time_millis_testing: 4.745, usercpu_time_millis_training: 96.868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9099, f_measure: 0.9106, kappa: 0.0549, kb_relative_information_score: -684.9744, mean_absolute_error: 0.0967, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9245, predictive_accuracy: 0.938, prior_entropy: 0.3411, recall: 0.938, relative_absolute_error: 0.8155, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2121, root_relative_squared_error: 0.8719, scimark_benchmark: 1271.4232, usercpu_time_millis: 27.882, usercpu_time_millis_testing: 2.311, usercpu_time_millis_training: 25.571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9044, f_measure: 0.9118, kappa: 0.0669, kb_relative_information_score: -772.929, mean_absolute_error: 0.0971, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9339, predictive_accuracy: 0.9388, prior_entropy: 0.3411, recall: 0.9388, relative_absolute_error: 0.819, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2123, root_relative_squared_error: 0.8727, scimark_benchmark: 1256.3157, usercpu_time_millis: 27.788, usercpu_time_millis_testing: 1.643, usercpu_time_millis_training: 26.145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8817, f_measure: 0.9063, kb_relative_information_score: -1107.0951, mean_absolute_error: 0.1052, 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: 0.8866, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.224, root_relative_squared_error: 0.9209, scimark_benchmark: 1267.2147, usercpu_time_millis: 25.914, usercpu_time_millis_testing: 1.767, usercpu_time_millis_training: 24.147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8964, f_measure: 0.9108, kappa: 0.0559, kb_relative_information_score: -870.624, mean_absolute_error: 0.097, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.932, predictive_accuracy: 0.9384, prior_entropy: 0.3411, recall: 0.9384, relative_absolute_error: 0.8179, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2142, root_relative_squared_error: 0.8806, scimark_benchmark: 1262.3396, usercpu_time_millis: 7.382, usercpu_time_millis_testing: 0.352, usercpu_time_millis_training: 7.03,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9094, f_measure: 0.9157, kappa: 0.1175, kb_relative_information_score: -688.939, mean_absolute_error: 0.0952, 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: 0.8023, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2103, root_relative_squared_error: 0.8646, scimark_benchmark: 1269.7652, usercpu_time_millis: 69.449, usercpu_time_millis_testing: 4.1, usercpu_time_millis_training: 65.349,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9171, f_measure: 0.9189, kappa: 0.1563, kb_relative_information_score: -644.8184, mean_absolute_error: 0.0946, 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: 0.7974, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2082, root_relative_squared_error: 0.8561, scimark_benchmark: 1254.3069, usercpu_time_millis: 54.528, usercpu_time_millis_testing: 3.63, usercpu_time_millis_training: 50.898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.915, f_measure: 0.9222, kappa: 0.1949, kb_relative_information_score: -648.0846, mean_absolute_error: 0.0943, 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: 0.7954, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2075, root_relative_squared_error: 0.853, scimark_benchmark: 1263.022, usercpu_time_millis: 44.156, usercpu_time_millis_testing: 2.875, usercpu_time_millis_training: 41.281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9066, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -795.4493, mean_absolute_error: 0.0988, 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: 0.8331, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2146, root_relative_squared_error: 0.8824, scimark_benchmark: 1265.3002, usercpu_time_millis: 39.585, usercpu_time_millis_testing: 3.202, usercpu_time_millis_training: 36.383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9167, f_measure: 0.9205, kappa: 0.1758, kb_relative_information_score: -609.348, mean_absolute_error: 0.0936, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9347, predictive_accuracy: 0.942, prior_entropy: 0.3411, recall: 0.942, relative_absolute_error: 0.789, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2077, root_relative_squared_error: 0.8538, scimark_benchmark: 1270.5271, usercpu_time_millis: 96.375, usercpu_time_millis_testing: 7.447, usercpu_time_millis_training: 88.928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8948, f_measure: 0.9073, kappa: 0.0116, kb_relative_information_score: -879.0912, mean_absolute_error: 0.1023, 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: 0.8627, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2186, root_relative_squared_error: 0.8988, scimark_benchmark: 1267.0718, usercpu_time_millis: 41.115, usercpu_time_millis_testing: 3.534, usercpu_time_millis_training: 37.581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8893, f_measure: 0.9063, kb_relative_information_score: -990.7813, mean_absolute_error: 0.1051, 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: 0.8863, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2232, root_relative_squared_error: 0.9177, scimark_benchmark: 1253.6228, usercpu_time_millis: 37.278, usercpu_time_millis_testing: 3.948, usercpu_time_millis_training: 33.33,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9112, f_measure: 0.9257, kappa: 0.2427, kb_relative_information_score: -592.5812, mean_absolute_error: 0.0913, 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: 0.7695, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2069, root_relative_squared_error: 0.8507, scimark_benchmark: 1274.4082, usercpu_time_millis: 36.856, usercpu_time_millis_testing: 1.74, usercpu_time_millis_training: 35.116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.886, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -1082.5384, 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: 0.8734, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2223, root_relative_squared_error: 0.914, scimark_benchmark: 1258.2786, usercpu_time_millis: 15.921, usercpu_time_millis_testing: 0.94, usercpu_time_millis_training: 14.981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8547, f_measure: 0.9063, kb_relative_information_score: -1279.5949, mean_absolute_error: 0.1081, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9117, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2285, root_relative_squared_error: 0.9393, scimark_benchmark: 1258.4356, usercpu_time_millis: 23.3, usercpu_time_millis_testing: 1.093, usercpu_time_millis_training: 22.207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9068, f_measure: 0.923, kappa: 0.2043, kb_relative_information_score: -685.8017, mean_absolute_error: 0.0951, 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: 0.8018, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2088, root_relative_squared_error: 0.8585, scimark_benchmark: 1267.2494, usercpu_time_millis: 18.125, usercpu_time_millis_testing: 1.113, usercpu_time_millis_training: 17.012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9064, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -846.3115, mean_absolute_error: 0.0986, 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: 0.8317, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.215, root_relative_squared_error: 0.8841, scimark_benchmark: 1253.4611, usercpu_time_millis: 68.287, usercpu_time_millis_testing: 4.526, usercpu_time_millis_training: 63.761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9085, f_measure: 0.9108, kappa: 0.0559, kb_relative_information_score: -746.7193, mean_absolute_error: 0.0963, 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: 0.8121, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2118, root_relative_squared_error: 0.8709, scimark_benchmark: 1269.8223, usercpu_time_millis: 59.957, usercpu_time_millis_testing: 3.878, usercpu_time_millis_training: 56.079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9121, f_measure: 0.9149, kappa: 0.1071, kb_relative_information_score: -658.9663, mean_absolute_error: 0.0945, 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: 0.7966, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2093, root_relative_squared_error: 0.8604, scimark_benchmark: 1256.1024, usercpu_time_millis: 50.998, usercpu_time_millis_testing: 3.452, usercpu_time_millis_training: 47.546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9074, f_measure: 0.9175, kappa: 0.1378, kb_relative_information_score: -686.8541, mean_absolute_error: 0.0957, 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: 0.8071, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2097, root_relative_squared_error: 0.862, scimark_benchmark: 1258.5275, usercpu_time_millis: 37.992, usercpu_time_millis_testing: 2.464, usercpu_time_millis_training: 35.528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8387, f_measure: 0.9063, kb_relative_information_score: -1315.5705, 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: 0.9258, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2307, root_relative_squared_error: 0.9484, scimark_benchmark: 1270.0409, usercpu_time_millis: 16.45, usercpu_time_millis_testing: 1.082, usercpu_time_millis_training: 15.368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.907, f_measure: 0.9149, kappa: 0.1071, kb_relative_information_score: -715.811, mean_absolute_error: 0.0965, 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: 0.8138, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2104, root_relative_squared_error: 0.865, scimark_benchmark: 1248.3054, usercpu_time_millis: 32.703, usercpu_time_millis_testing: 2.222, usercpu_time_millis_training: 30.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9176, f_measure: 0.9227, kappa: 0.2026, kb_relative_information_score: -634.9095, mean_absolute_error: 0.0932, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9351, predictive_accuracy: 0.9428, prior_entropy: 0.3411, recall: 0.9428, relative_absolute_error: 0.7859, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2062, root_relative_squared_error: 0.8478, scimark_benchmark: 1266.3508, usercpu_time_millis: 113.664, usercpu_time_millis_testing: 6.793, usercpu_time_millis_training: 106.871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8909, f_measure: 0.9155, kappa: 0.1161, kb_relative_information_score: -886.5333, mean_absolute_error: 0.0982, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9277, predictive_accuracy: 0.9396, prior_entropy: 0.3411, recall: 0.9396, relative_absolute_error: 0.828, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2128, root_relative_squared_error: 0.8748, scimark_benchmark: 1253.2532, usercpu_time_millis: 3.611, usercpu_time_millis_testing: 0.277, usercpu_time_millis_training: 3.334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.88, f_measure: 0.9063, kb_relative_information_score: -1028.0545, mean_absolute_error: 0.1058, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.8923, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2242, root_relative_squared_error: 0.9218, scimark_benchmark: 1252.5999, usercpu_time_millis: 23.389, usercpu_time_millis_testing: 2.183, usercpu_time_millis_training: 21.206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8725, f_measure: 0.9063, kb_relative_information_score: -1154.9806, mean_absolute_error: 0.1066, 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: 0.8986, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2258, root_relative_squared_error: 0.9282, scimark_benchmark: 1259.9259, usercpu_time_millis: 19.64, usercpu_time_millis_testing: 1.251, usercpu_time_millis_training: 18.389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8437, f_measure: 0.9063, kb_relative_information_score: -1231.1707, 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: 0.9228, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.23, root_relative_squared_error: 0.9456, scimark_benchmark: 1251.1443, usercpu_time_millis: 18.17, usercpu_time_millis_testing: 1.525, usercpu_time_millis_training: 16.645,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9152, f_measure: 0.9191, kappa: 0.1578, kb_relative_information_score: -662.8126, mean_absolute_error: 0.0949, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9355, predictive_accuracy: 0.9416, prior_entropy: 0.3411, recall: 0.9416, relative_absolute_error: 0.8005, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2082, root_relative_squared_error: 0.8561, scimark_benchmark: 1269.8678, usercpu_time_millis: 40.911, usercpu_time_millis_testing: 2.717, usercpu_time_millis_training: 38.194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9047, f_measure: 0.909, kappa: 0.0336, kb_relative_information_score: -772.6459, 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: 0.8254, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2129, root_relative_squared_error: 0.8751, scimark_benchmark: 1268.9225, usercpu_time_millis: 5.869, usercpu_time_millis_testing: 0.458, usercpu_time_millis_training: 5.411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8784, f_measure: 0.9063, kb_relative_information_score: -1017.3727, 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: 0.9059, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2264, root_relative_squared_error: 0.9308, scimark_benchmark: 1247.902, usercpu_time_millis: 36.442, usercpu_time_millis_testing: 3.729, usercpu_time_millis_training: 32.713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9078, f_measure: 0.9073, kappa: 0.0116, kb_relative_information_score: -718.8762, mean_absolute_error: 0.0988, 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: 0.8333, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2139, root_relative_squared_error: 0.8795, scimark_benchmark: 1251.8714, usercpu_time_millis: 32.562, usercpu_time_millis_testing: 3.255, usercpu_time_millis_training: 29.307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9131, f_measure: 0.9248, kappa: 0.2284, kb_relative_information_score: -642.3284, mean_absolute_error: 0.0928, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9357, predictive_accuracy: 0.9436, prior_entropy: 0.3411, recall: 0.9436, relative_absolute_error: 0.7823, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2068, root_relative_squared_error: 0.8504, scimark_benchmark: 1268.8292, usercpu_time_millis: 20.037, usercpu_time_millis_testing: 0.866, usercpu_time_millis_training: 19.171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8549, f_measure: 0.9063, kb_relative_information_score: -1105.5873, 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: 0.9245, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2297, root_relative_squared_error: 0.9445, scimark_benchmark: 1263.4886, usercpu_time_millis: 8.51, usercpu_time_millis_testing: 0.888, usercpu_time_millis_training: 7.622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9125, f_measure: 0.9247, kappa: 0.2321, kb_relative_information_score: -640.9285, mean_absolute_error: 0.0926, 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: 0.7809, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2061, root_relative_squared_error: 0.8473, scimark_benchmark: 1259.3817, usercpu_time_millis: 15.858, usercpu_time_millis_testing: 0.641, usercpu_time_millis_training: 15.217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9051, f_measure: 0.9136, kappa: 0.0885, kb_relative_information_score: -769.0138, mean_absolute_error: 0.0966, 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: 0.8144, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2113, root_relative_squared_error: 0.8687, scimark_benchmark: 1233.7852, usercpu_time_millis: 54.221, usercpu_time_millis_testing: 2.473, usercpu_time_millis_training: 51.748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9153, f_measure: 0.9263, kappa: 0.2463, kb_relative_information_score: -646.7148, mean_absolute_error: 0.0928, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9372, predictive_accuracy: 0.9444, prior_entropy: 0.3411, recall: 0.9444, relative_absolute_error: 0.7822, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2061, root_relative_squared_error: 0.8474, scimark_benchmark: 1269.6681, usercpu_time_millis: 48.653, usercpu_time_millis_testing: 2.069, usercpu_time_millis_training: 46.584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9055, f_measure: 0.9099, kappa: 0.0448, kb_relative_information_score: -801.2808, mean_absolute_error: 0.097, 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: 0.8176, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2122, root_relative_squared_error: 0.8724, scimark_benchmark: 1270.2593, usercpu_time_millis: 122.206, usercpu_time_millis_testing: 5.34, usercpu_time_millis_training: 116.866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9015, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -884.1359, 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: 0.8373, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2153, root_relative_squared_error: 0.8852, scimark_benchmark: 1266.4801, usercpu_time_millis: 93.777, usercpu_time_millis_testing: 5.127, usercpu_time_millis_training: 88.65,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.89, f_measure: 0.9073, kappa: 0.0116, kb_relative_information_score: -925.5376, mean_absolute_error: 0.1018, 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: 0.8585, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2175, root_relative_squared_error: 0.8943, scimark_benchmark: 1255.1065, usercpu_time_millis: 38.77, usercpu_time_millis_testing: 2.946, usercpu_time_millis_training: 35.824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9154, f_measure: 0.9271, kappa: 0.2632, kb_relative_information_score: -562.9846, mean_absolute_error: 0.0905, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9326, predictive_accuracy: 0.9436, prior_entropy: 0.3411, recall: 0.9436, relative_absolute_error: 0.7633, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2054, root_relative_squared_error: 0.8444, scimark_benchmark: 1253.4034, usercpu_time_millis: 165.813, usercpu_time_millis_testing: 7.362, usercpu_time_millis_training: 158.451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9152, f_measure: 0.9205, kappa: 0.1758, kb_relative_information_score: -632.9995, mean_absolute_error: 0.0934, 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: 0.7877, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2084, root_relative_squared_error: 0.857, scimark_benchmark: 1268.9691, usercpu_time_millis: 105.159, usercpu_time_millis_testing: 6.672, usercpu_time_millis_training: 98.487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9104, f_measure: 0.909, kappa: 0.0336, kb_relative_information_score: -749.0296, mean_absolute_error: 0.0984, 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: 0.8297, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.213, root_relative_squared_error: 0.8756, scimark_benchmark: 1254.6918, usercpu_time_millis: 21.642, usercpu_time_millis_testing: 2.011, usercpu_time_millis_training: 19.631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8328, f_measure: 0.9063, kb_relative_information_score: -1179.2731, mean_absolute_error: 0.11, 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: 0.9272, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2306, root_relative_squared_error: 0.948, scimark_benchmark: 1271.0356, usercpu_time_millis: 23.796, usercpu_time_millis_testing: 2.14, usercpu_time_millis_training: 21.656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8349, f_measure: 0.9063, kb_relative_information_score: -1359.5505, 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: 0.9282, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2316, root_relative_squared_error: 0.9521, scimark_benchmark: 1252.4064, usercpu_time_millis: 19.407, usercpu_time_millis_testing: 1.37, usercpu_time_millis_training: 18.037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.9063, kb_relative_information_score: -3.9342, 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: 0.9986, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1248.4725, usercpu_time_millis: 16.297, usercpu_time_millis_testing: 1.706, usercpu_time_millis_training: 14.591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8892, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -1072.0467, mean_absolute_error: 0.1045, 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: 0.881, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2229, root_relative_squared_error: 0.9166, scimark_benchmark: 1264.0539, usercpu_time_millis: 13.91, usercpu_time_millis_testing: 1.111, usercpu_time_millis_training: 12.799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8329, f_measure: 0.9063, kb_relative_information_score: -1039.7785, mean_absolute_error: 0.1114, 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: 0.9395, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2324, root_relative_squared_error: 0.9556, scimark_benchmark: 1272.9672, usercpu_time_millis: 11.775, usercpu_time_millis_testing: 1.199, usercpu_time_millis_training: 10.576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7836, f_measure: 0.9207, kappa: 0.2249, kb_relative_information_score: -907.1261, mean_absolute_error: 0.0925, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9153, predictive_accuracy: 0.9345, prior_entropy: 0.3411, recall: 0.9345, relative_absolute_error: 0.7797, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2337, root_relative_squared_error: 0.961, scimark_benchmark: 1266.1159, usercpu_time_millis: 1.686, usercpu_time_millis_testing: 0.325, usercpu_time_millis_training: 1.361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.864, f_measure: 0.9063, kb_relative_information_score: -1192.3513, 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: 0.9094, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2277, root_relative_squared_error: 0.9363, scimark_benchmark: 1272.6272, usercpu_time_millis: 53.117, usercpu_time_millis_testing: 3.434, usercpu_time_millis_training: 49.683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.894, f_measure: 0.9063, kb_relative_information_score: -905.2706, mean_absolute_error: 0.1037, 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: 0.8744, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2208, root_relative_squared_error: 0.9079, scimark_benchmark: 1270.9612, usercpu_time_millis: 31.3, usercpu_time_millis_testing: 2.869, usercpu_time_millis_training: 28.431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8236, f_measure: 0.9063, kb_relative_information_score: -915.7765, mean_absolute_error: 0.1115, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9403, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2325, root_relative_squared_error: 0.9561, scimark_benchmark: 1257.9055, usercpu_time_millis: 19.457, usercpu_time_millis_testing: 1.804, usercpu_time_millis_training: 17.653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9036, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -878.4771, 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: 0.8373, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2159, root_relative_squared_error: 0.8878, scimark_benchmark: 1250.3469, usercpu_time_millis: 18.037, usercpu_time_millis_testing: 1.207, usercpu_time_millis_training: 16.83,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8522, f_measure: 0.9063, kb_relative_information_score: -1128.196, mean_absolute_error: 0.1106, 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: 0.9324, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2314, root_relative_squared_error: 0.9513, scimark_benchmark: 1269.9531, usercpu_time_millis: 16.248, usercpu_time_millis_testing: 1.575, usercpu_time_millis_training: 14.673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9056, f_measure: 0.9127, kappa: 0.0778, kb_relative_information_score: -730.1571, 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: 0.8177, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2117, root_relative_squared_error: 0.8704, scimark_benchmark: 1273.4989, usercpu_time_millis: 44.143, usercpu_time_millis_testing: 2.925, usercpu_time_millis_training: 41.218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8982, f_measure: 0.9124, kappa: 0.0766, kb_relative_information_score: -791.0859, mean_absolute_error: 0.0979, 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: 0.825, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.212, root_relative_squared_error: 0.8717, scimark_benchmark: 1262.2035, usercpu_time_millis: 10.993, usercpu_time_millis_testing: 0.751, usercpu_time_millis_training: 10.242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8917, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -1062.0151, 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: 0.8616, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2204, root_relative_squared_error: 0.9063, scimark_benchmark: 1270.3158, usercpu_time_millis: 93.765, usercpu_time_millis_testing: 5.081, usercpu_time_millis_training: 88.684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8903, f_measure: 0.9063, kb_relative_information_score: -989.6625, mean_absolute_error: 0.1055, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.8891, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2235, root_relative_squared_error: 0.9187, scimark_benchmark: 1265.7243, usercpu_time_millis: 7.858, usercpu_time_millis_testing: 0.789, usercpu_time_millis_training: 7.069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8823, f_measure: 0.9063, kb_relative_information_score: -1004.6491, mean_absolute_error: 0.1052, 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: 0.8871, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2232, root_relative_squared_error: 0.9176, scimark_benchmark: 1261.9603, usercpu_time_millis: 36.428, usercpu_time_millis_testing: 3.346, usercpu_time_millis_training: 33.082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8925, f_measure: 0.9071, kappa: 0.0108, kb_relative_information_score: -969.6633, mean_absolute_error: 0.1019, 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: 0.8595, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2185, root_relative_squared_error: 0.8986, scimark_benchmark: 1268.765, usercpu_time_millis: 65.964, usercpu_time_millis_testing: 4.618, usercpu_time_millis_training: 61.346,

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