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: 0.9174, f_measure: 0.9273, kappa: 0.257, kb_relative_information_score: -617.0276, mean_absolute_error: 0.0926, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9397, predictive_accuracy: 0.9451, prior_entropy: 0.3411, recall: 0.9451, relative_absolute_error: 0.7807, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2058, root_relative_squared_error: 0.846, scimark_benchmark: 1251.0481, usercpu_time_millis: 144.641, usercpu_time_millis_testing: 6.936, usercpu_time_millis_training: 137.705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8372, f_measure: 0.9063, kb_relative_information_score: -772.6075, mean_absolute_error: 0.1137, 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: 0.9588, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2354, root_relative_squared_error: 0.968, scimark_benchmark: 1256.287, usercpu_time_millis: 9.281, usercpu_time_millis_testing: 0.913, usercpu_time_millis_training: 8.368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9135, f_measure: 0.9151, kappa: 0.1084, kb_relative_information_score: -693.7269, mean_absolute_error: 0.0962, 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: 0.8109, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2099, root_relative_squared_error: 0.8631, scimark_benchmark: 1264.8969, usercpu_time_millis: 93.08, usercpu_time_millis_testing: 6.893, usercpu_time_millis_training: 86.187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8978, f_measure: 0.9073, kappa: 0.0116, kb_relative_information_score: -798.507, mean_absolute_error: 0.1, 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: 0.8428, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2171, root_relative_squared_error: 0.8928, scimark_benchmark: 1228.8712, usercpu_time_millis: 6.631, usercpu_time_millis_testing: 0.635, usercpu_time_millis_training: 5.996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.916, f_measure: 0.9216, kappa: 0.187, kb_relative_information_score: -649.2283, mean_absolute_error: 0.0943, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.938, predictive_accuracy: 0.9428, prior_entropy: 0.3411, recall: 0.9428, relative_absolute_error: 0.7951, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2075, root_relative_squared_error: 0.8531, scimark_benchmark: 1259.0079, usercpu_time_millis: 83.051, usercpu_time_millis_testing: 5.642, usercpu_time_millis_training: 77.409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9076, f_measure: 0.9118, kappa: 0.0669, kb_relative_information_score: -734.0124, mean_absolute_error: 0.0976, 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: 0.823, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2115, root_relative_squared_error: 0.8695, scimark_benchmark: 1240.6013, usercpu_time_millis: 52.408, usercpu_time_millis_testing: 4.066, usercpu_time_millis_training: 48.342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9115, f_measure: 0.9149, kappa: 0.1071, kb_relative_information_score: -684.7181, mean_absolute_error: 0.0958, 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: 0.8081, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2103, root_relative_squared_error: 0.8645, scimark_benchmark: 1214.9907, usercpu_time_millis: 46.259, usercpu_time_millis_testing: 3.504, usercpu_time_millis_training: 42.755,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9017, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -930.3483, 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: 0.8417, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2169, root_relative_squared_error: 0.8919, scimark_benchmark: 1242.4964, usercpu_time_millis: 25.867, usercpu_time_millis_testing: 1.594, usercpu_time_millis_training: 24.273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9171, f_measure: 0.9245, kappa: 0.2267, kb_relative_information_score: -573.7369, mean_absolute_error: 0.0917, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.934, predictive_accuracy: 0.9432, prior_entropy: 0.3411, recall: 0.9432, relative_absolute_error: 0.773, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.206, root_relative_squared_error: 0.8471, scimark_benchmark: 1250.631, usercpu_time_millis: 92.292, usercpu_time_millis_testing: 5.284, usercpu_time_millis_training: 87.008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9121, f_measure: 0.9243, kappa: 0.2211, kb_relative_information_score: -623.5894, mean_absolute_error: 0.0922, 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: 0.7771, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2079, root_relative_squared_error: 0.8548, scimark_benchmark: 1244.7163, usercpu_time_millis: 128.929, usercpu_time_millis_testing: 6.91, usercpu_time_millis_training: 122.019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9147, f_measure: 0.9267, kappa: 0.2643, kb_relative_information_score: -556.0671, mean_absolute_error: 0.0901, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9292, predictive_accuracy: 0.9424, prior_entropy: 0.3411, recall: 0.9424, relative_absolute_error: 0.7597, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2052, root_relative_squared_error: 0.8439, scimark_benchmark: 1247.6329, usercpu_time_millis: 165.103, usercpu_time_millis_testing: 7.825, usercpu_time_millis_training: 157.278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.907, f_measure: 0.9222, kappa: 0.1949, kb_relative_information_score: -685.9837, mean_absolute_error: 0.0951, 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: 0.8021, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2095, root_relative_squared_error: 0.8616, scimark_benchmark: 1262.7467, usercpu_time_millis: 11.238, usercpu_time_millis_testing: 0.601, usercpu_time_millis_training: 10.637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8831, f_measure: 0.9063, kb_relative_information_score: -1035.2482, 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: 0.8858, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.223, root_relative_squared_error: 0.917, scimark_benchmark: 1246.9688, usercpu_time_millis: 35.423, usercpu_time_millis_testing: 3.171, usercpu_time_millis_training: 32.252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8686, f_measure: 0.9063, kb_relative_information_score: -1027.7442, mean_absolute_error: 0.1095, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9233, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2293, root_relative_squared_error: 0.9429, scimark_benchmark: 1257.9093, usercpu_time_millis: 33.689, usercpu_time_millis_testing: 3.246, usercpu_time_millis_training: 30.443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9102, f_measure: 0.9138, kappa: 0.0955, kb_relative_information_score: -768.1812, mean_absolute_error: 0.0976, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9245, predictive_accuracy: 0.9388, prior_entropy: 0.3411, recall: 0.9388, relative_absolute_error: 0.8232, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2109, root_relative_squared_error: 0.8671, scimark_benchmark: 1247.6448, usercpu_time_millis: 15.821, usercpu_time_millis_testing: 1.385, usercpu_time_millis_training: 14.436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9181, f_measure: 0.9222, kappa: 0.1949, kb_relative_information_score: -614.3403, mean_absolute_error: 0.0939, 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: 0.7915, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2075, root_relative_squared_error: 0.853, scimark_benchmark: 1248.4549, usercpu_time_millis: 92.008, usercpu_time_millis_testing: 7.032, usercpu_time_millis_training: 84.976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8921, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -1018.2954, mean_absolute_error: 0.102, 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: 0.8598, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.219, root_relative_squared_error: 0.9006, scimark_benchmark: 1256.9233, usercpu_time_millis: 80.057, usercpu_time_millis_testing: 4.08, usercpu_time_millis_training: 75.977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8994, f_measure: 0.9071, kappa: 0.0108, kb_relative_information_score: -873.6643, mean_absolute_error: 0.1013, 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: 0.8539, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2177, root_relative_squared_error: 0.8949, scimark_benchmark: 1248.2404, usercpu_time_millis: 35.233, usercpu_time_millis_testing: 3.011, usercpu_time_millis_training: 32.222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8341, f_measure: 0.9063, kb_relative_information_score: -1358.126, mean_absolute_error: 0.1107, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9333, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2322, root_relative_squared_error: 0.9546, scimark_benchmark: 1262.1392, usercpu_time_millis: 27.26, usercpu_time_millis_testing: 2.065, usercpu_time_millis_training: 25.195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9107, f_measure: 0.9099, kappa: 0.0448, kb_relative_information_score: -696.0364, mean_absolute_error: 0.0974, 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: 0.821, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.212, root_relative_squared_error: 0.8717, scimark_benchmark: 1249.1452, usercpu_time_millis: 14.849, usercpu_time_millis_testing: 1.228, usercpu_time_millis_training: 13.621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9039, f_measure: 0.9157, kappa: 0.1175, kb_relative_information_score: -737.0249, mean_absolute_error: 0.0967, 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: 0.8156, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2108, root_relative_squared_error: 0.8666, scimark_benchmark: 1253.2875, usercpu_time_millis: 40.02, usercpu_time_millis_testing: 2.46, usercpu_time_millis_training: 37.56,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9165, f_measure: 0.9243, kappa: 0.2211, kb_relative_information_score: -600.5597, mean_absolute_error: 0.0929, 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: 0.7833, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2065, root_relative_squared_error: 0.8491, scimark_benchmark: 1244.9085, usercpu_time_millis: 98.322, usercpu_time_millis_testing: 6.58, usercpu_time_millis_training: 91.742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9108, f_measure: 0.9238, kappa: 0.2136, kb_relative_information_score: -647.3749, mean_absolute_error: 0.0941, 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: 0.7929, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2079, root_relative_squared_error: 0.855, scimark_benchmark: 1262.2178, usercpu_time_millis: 94.853, usercpu_time_millis_testing: 5.015, usercpu_time_millis_training: 89.838,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8247, f_measure: 0.9063, kb_relative_information_score: -1097.1612, mean_absolute_error: 0.1102, 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: 0.9289, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2313, root_relative_squared_error: 0.9508, scimark_benchmark: 1244.3169, usercpu_time_millis: 30.452, usercpu_time_millis_testing: 2.491, usercpu_time_millis_training: 27.961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8772, f_measure: 0.9063, kb_relative_information_score: -1093.1329, 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: 0.892, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2243, root_relative_squared_error: 0.922, scimark_benchmark: 1226.9452, usercpu_time_millis: 25.088, usercpu_time_millis_testing: 2.084, usercpu_time_millis_training: 23.004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9129, f_measure: 0.9136, kappa: 0.0885, kb_relative_information_score: -681.9654, mean_absolute_error: 0.0951, 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: 0.8016, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2102, root_relative_squared_error: 0.8643, scimark_benchmark: 1256.6999, usercpu_time_millis: 18.853, usercpu_time_millis_testing: 1.371, usercpu_time_millis_training: 17.482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9122, f_measure: 0.9197, kappa: 0.1661, kb_relative_information_score: -649.2345, mean_absolute_error: 0.0941, 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: 0.7934, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2089, root_relative_squared_error: 0.8588, scimark_benchmark: 1249.4946, usercpu_time_millis: 64.896, usercpu_time_millis_testing: 3.854, usercpu_time_millis_training: 61.042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8796, f_measure: 0.9063, kb_relative_information_score: -1122.1694, mean_absolute_error: 0.1046, 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: 0.8817, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2237, root_relative_squared_error: 0.9197, scimark_benchmark: 1259.6516, usercpu_time_millis: 6.093, usercpu_time_millis_testing: 0.39, usercpu_time_millis_training: 5.703,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9124, f_measure: 0.9189, kappa: 0.1563, kb_relative_information_score: -679.642, mean_absolute_error: 0.0941, 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: 0.7929, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2095, root_relative_squared_error: 0.8613, scimark_benchmark: 1260.2474, usercpu_time_millis: 93.715, usercpu_time_millis_testing: 5.205, usercpu_time_millis_training: 88.51,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8897, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -1028.6557, mean_absolute_error: 0.1024, 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: 0.863, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2197, root_relative_squared_error: 0.9034, scimark_benchmark: 1238.441, usercpu_time_millis: 42.76, usercpu_time_millis_testing: 2.318, usercpu_time_millis_training: 40.442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8614, f_measure: 0.9063, kb_relative_information_score: -1201.5905, mean_absolute_error: 0.1085, 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: 0.9147, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2287, root_relative_squared_error: 0.9401, scimark_benchmark: 1256.2814, usercpu_time_millis: 41.783, usercpu_time_millis_testing: 3.19, usercpu_time_millis_training: 38.593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.914, f_measure: 0.9205, kappa: 0.1758, kb_relative_information_score: -639.9224, mean_absolute_error: 0.0942, 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: 0.794, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2082, root_relative_squared_error: 0.8561, scimark_benchmark: 1258.9738, usercpu_time_millis: 20.733, usercpu_time_millis_testing: 1.661, usercpu_time_millis_training: 19.072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9076, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -786.3286, mean_absolute_error: 0.1, 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: 0.8429, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2159, root_relative_squared_error: 0.8877, scimark_benchmark: 1249.5604, usercpu_time_millis: 18.654, usercpu_time_millis_testing: 1.581, usercpu_time_millis_training: 17.073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9134, f_measure: 0.9219, kappa: 0.1932, kb_relative_information_score: -686.3381, mean_absolute_error: 0.095, 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: 0.8013, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2083, root_relative_squared_error: 0.8565, scimark_benchmark: 1252.102, usercpu_time_millis: 13.862, usercpu_time_millis_testing: 0.904, usercpu_time_millis_training: 12.958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8928, f_measure: 0.9248, kappa: 0.2284, kb_relative_information_score: -837.9442, mean_absolute_error: 0.0957, 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: 0.8066, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2111, root_relative_squared_error: 0.8679, scimark_benchmark: 1262.2348, usercpu_time_millis: 3.571, usercpu_time_millis_testing: 0.267, usercpu_time_millis_training: 3.304,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8998, f_measure: 0.9071, kappa: 0.0108, kb_relative_information_score: -862.6995, mean_absolute_error: 0.1017, 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: 0.8571, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2178, root_relative_squared_error: 0.8955, scimark_benchmark: 1247.7836, usercpu_time_millis: 9.459, usercpu_time_millis_testing: 0.812, usercpu_time_millis_training: 8.647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8925, f_measure: 0.9063, kb_relative_information_score: -924.4654, mean_absolute_error: 0.1032, 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: 0.8698, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2198, root_relative_squared_error: 0.9038, scimark_benchmark: 1246.3027, usercpu_time_millis: 29.046, usercpu_time_millis_testing: 3.096, usercpu_time_millis_training: 25.95,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8309, f_measure: 0.9063, kb_relative_information_score: -1263.0458, 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: 0.2306, root_relative_squared_error: 0.9483, scimark_benchmark: 1244.9162, usercpu_time_millis: 17.064, usercpu_time_millis_testing: 1.322, usercpu_time_millis_training: 15.742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9112, f_measure: 0.9256, kappa: 0.2461, kb_relative_information_score: -593.51, mean_absolute_error: 0.0911, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.931, predictive_accuracy: 0.9428, prior_entropy: 0.3411, recall: 0.9428, relative_absolute_error: 0.7678, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2062, root_relative_squared_error: 0.8477, scimark_benchmark: 1242.1453, usercpu_time_millis: 16.306, usercpu_time_millis_testing: 0.787, usercpu_time_millis_training: 15.519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8924, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -996.4724, mean_absolute_error: 0.1024, 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: 0.8632, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2198, root_relative_squared_error: 0.9038, scimark_benchmark: 1250.6732, usercpu_time_millis: 14.339, usercpu_time_millis_testing: 0.963, usercpu_time_millis_training: 13.376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8564, f_measure: 0.9063, kb_relative_information_score: -1247.0634, 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: 0.9095, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2285, root_relative_squared_error: 0.9393, scimark_benchmark: 1260.7941, usercpu_time_millis: 10.432, usercpu_time_millis_testing: 0.684, usercpu_time_millis_training: 9.748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8768, f_measure: 0.9063, kb_relative_information_score: -1090.9659, mean_absolute_error: 0.107, 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: 0.9019, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2264, root_relative_squared_error: 0.9309, scimark_benchmark: 1238.2509, usercpu_time_millis: 9.254, usercpu_time_millis_testing: 0.813, usercpu_time_millis_training: 8.441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8417, f_measure: 0.9063, kb_relative_information_score: -1198.9294, mean_absolute_error: 0.1112, 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: 0.9373, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2325, root_relative_squared_error: 0.9559, scimark_benchmark: 1243.3552, usercpu_time_millis: 2.824, usercpu_time_millis_testing: 0.417, usercpu_time_millis_training: 2.407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.913, f_measure: 0.9245, kappa: 0.2228, kb_relative_information_score: -649.9255, mean_absolute_error: 0.0939, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9387, predictive_accuracy: 0.944, prior_entropy: 0.3411, recall: 0.944, relative_absolute_error: 0.7916, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2069, root_relative_squared_error: 0.8507, scimark_benchmark: 1231.0983, usercpu_time_millis: 89.994, usercpu_time_millis_testing: 4.86, usercpu_time_millis_training: 85.134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9158, f_measure: 0.9205, kappa: 0.1758, kb_relative_information_score: -616.0363, mean_absolute_error: 0.0938, 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: 0.7906, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2077, root_relative_squared_error: 0.854, scimark_benchmark: 1226.9188, usercpu_time_millis: 89.39, usercpu_time_millis_testing: 6.927, usercpu_time_millis_training: 82.463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9114, f_measure: 0.9124, kappa: 0.0766, kb_relative_information_score: -721.108, mean_absolute_error: 0.0969, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9292, predictive_accuracy: 0.9388, prior_entropy: 0.3411, recall: 0.9388, relative_absolute_error: 0.8173, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.211, root_relative_squared_error: 0.8676, scimark_benchmark: 1228.3443, usercpu_time_millis: 37.576, usercpu_time_millis_testing: 3.014, usercpu_time_millis_training: 34.562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9019, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -905.2311, mean_absolute_error: 0.1006, 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: 0.8482, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2168, root_relative_squared_error: 0.8915, scimark_benchmark: 1265.3314, usercpu_time_millis: 85.327, usercpu_time_millis_testing: 5.917, usercpu_time_millis_training: 79.41,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8609, f_measure: 0.9063, kb_relative_information_score: -1151.9426, 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: 0.2287, root_relative_squared_error: 0.9403, scimark_benchmark: 1260.4031, usercpu_time_millis: 35.706, usercpu_time_millis_testing: 3.071, usercpu_time_millis_training: 32.635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8831, f_measure: 0.9063, kb_relative_information_score: -1022.7314, 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: 0.9009, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2256, root_relative_squared_error: 0.9276, scimark_benchmark: 1252.7552, usercpu_time_millis: 25.18, usercpu_time_millis_testing: 2.564, usercpu_time_millis_training: 22.616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8832, f_measure: 0.9063, kb_relative_information_score: -1080.4727, mean_absolute_error: 0.1056, 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: 0.8901, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.224, root_relative_squared_error: 0.9212, scimark_benchmark: 1262.2998, usercpu_time_millis: 57.705, usercpu_time_millis_testing: 4.647, usercpu_time_millis_training: 53.058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8961, f_measure: 0.9071, kappa: 0.0108, kb_relative_information_score: -940.9814, mean_absolute_error: 0.1014, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9096, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.8545, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2181, root_relative_squared_error: 0.8966, scimark_benchmark: 1258.1282, usercpu_time_millis: 5.867, usercpu_time_millis_testing: 0.446, usercpu_time_millis_training: 5.421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8826, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -1114.4445, 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: 0.889, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2244, root_relative_squared_error: 0.9226, scimark_benchmark: 1252.0259, usercpu_time_millis: 57.082, usercpu_time_millis_testing: 4.764, usercpu_time_millis_training: 52.318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8845, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -1101.4243, mean_absolute_error: 0.1049, 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: 0.8844, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2236, root_relative_squared_error: 0.9194, scimark_benchmark: 1243.0249, usercpu_time_millis: 54.45, usercpu_time_millis_testing: 4.48, usercpu_time_millis_training: 49.97,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9012, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -925.4601, mean_absolute_error: 0.0991, 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: 0.8352, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2162, root_relative_squared_error: 0.889, scimark_benchmark: 1247.2109, usercpu_time_millis: 16.072, usercpu_time_millis_testing: 0.773, usercpu_time_millis_training: 15.299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9044, f_measure: 0.909, kappa: 0.0336, kb_relative_information_score: -800.8801, mean_absolute_error: 0.098, 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: 0.8262, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2134, root_relative_squared_error: 0.8774, scimark_benchmark: 1253.9028, usercpu_time_millis: 14.691, usercpu_time_millis_testing: 1.037, usercpu_time_millis_training: 13.654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8351, f_measure: 0.9063, kb_relative_information_score: -717.6015, mean_absolute_error: 0.1143, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9637, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2362, root_relative_squared_error: 0.9713, scimark_benchmark: 1259.0835, usercpu_time_millis: 15.407, usercpu_time_millis_testing: 1.831, usercpu_time_millis_training: 13.576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.861, f_measure: 0.9063, kb_relative_information_score: -1193.5083, mean_absolute_error: 0.1084, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9139, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2285, root_relative_squared_error: 0.9395, scimark_benchmark: 1245.9724, usercpu_time_millis: 45.891, usercpu_time_millis_testing: 3.781, usercpu_time_millis_training: 42.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9108, f_measure: 0.9253, kappa: 0.232, kb_relative_information_score: -668.9716, mean_absolute_error: 0.094, 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: 0.7927, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2074, root_relative_squared_error: 0.8528, scimark_benchmark: 1266.3465, usercpu_time_millis: 104.195, usercpu_time_millis_testing: 5.526, usercpu_time_millis_training: 98.669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9153, f_measure: 0.9248, kappa: 0.2284, kb_relative_information_score: -572.6869, mean_absolute_error: 0.0916, 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: 0.7726, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2063, root_relative_squared_error: 0.848, scimark_benchmark: 1243.8376, usercpu_time_millis: 134.492, usercpu_time_millis_testing: 8.005, usercpu_time_millis_training: 126.487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8488, f_measure: 0.9063, kb_relative_information_score: -958.7192, mean_absolute_error: 0.1124, 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: 0.9477, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2334, root_relative_squared_error: 0.9598, scimark_benchmark: 1261.9768, usercpu_time_millis: 18.749, usercpu_time_millis_testing: 1.858, usercpu_time_millis_training: 16.891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9092, f_measure: 0.9142, kappa: 0.0979, kb_relative_information_score: -701.2538, mean_absolute_error: 0.0951, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9324, predictive_accuracy: 0.9396, prior_entropy: 0.3411, recall: 0.9396, relative_absolute_error: 0.802, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2107, root_relative_squared_error: 0.8661, scimark_benchmark: 1265.7746, usercpu_time_millis: 70.626, usercpu_time_millis_testing: 4.324, usercpu_time_millis_training: 66.302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9188, f_measure: 0.9255, kappa: 0.2374, kb_relative_information_score: -608.9925, mean_absolute_error: 0.0925, 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: 0.7796, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2057, root_relative_squared_error: 0.8456, scimark_benchmark: 1254.635, usercpu_time_millis: 102.721, usercpu_time_millis_testing: 4.927, usercpu_time_millis_training: 97.794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9183, f_measure: 0.9262, kappa: 0.2497, kb_relative_information_score: -591.7047, mean_absolute_error: 0.0916, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9335, predictive_accuracy: 0.9436, prior_entropy: 0.3411, recall: 0.9436, relative_absolute_error: 0.7723, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2053, root_relative_squared_error: 0.8443, scimark_benchmark: 1268.6021, usercpu_time_millis: 150.115, usercpu_time_millis_testing: 7.961, usercpu_time_millis_training: 142.154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8895, f_measure: 0.9164, kappa: 0.1263, kb_relative_information_score: -890.874, mean_absolute_error: 0.0974, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9291, predictive_accuracy: 0.94, prior_entropy: 0.3411, recall: 0.94, relative_absolute_error: 0.8209, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2142, root_relative_squared_error: 0.8806, scimark_benchmark: 1245.7951, usercpu_time_millis: 3.043, usercpu_time_millis_testing: 0.402, usercpu_time_millis_training: 2.641,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9073, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -809.5589, mean_absolute_error: 0.0987, 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: 0.8318, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2145, root_relative_squared_error: 0.882, scimark_benchmark: 1238.4445, usercpu_time_millis: 67.42, usercpu_time_millis_testing: 5.315, usercpu_time_millis_training: 62.105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9104, f_measure: 0.9151, kappa: 0.1084, kb_relative_information_score: -710.0095, mean_absolute_error: 0.0959, 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: 0.8083, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2098, root_relative_squared_error: 0.8624, scimark_benchmark: 1255.5799, usercpu_time_millis: 54.831, usercpu_time_millis_testing: 3.811, usercpu_time_millis_training: 51.02,

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