Task
Supervised Classification on ozone-level-8hr

Supervised Classification on ozone-level-8hr

Task 145855 Supervised Classification ozone-level-8hr 90654 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8982, f_measure: 0.9197, kappa: 0.1661, kb_relative_information_score: -905.6345, mean_absolute_error: 0.0977, 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: 0.8238, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2112, root_relative_squared_error: 0.8683, scimark_benchmark: 1374.2306, usercpu_time_millis: 42.956, usercpu_time_millis_testing: 0.622, usercpu_time_millis_training: 42.334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.899, f_measure: 0.9136, kappa: 0.0885, kb_relative_information_score: -862.4031, mean_absolute_error: 0.0972, 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: 0.8193, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2124, root_relative_squared_error: 0.8735, scimark_benchmark: 1370.8694, usercpu_time_millis: 53.434, usercpu_time_millis_testing: 1.14, usercpu_time_millis_training: 52.294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9079, f_measure: 0.9275, kappa: 0.277, kb_relative_information_score: -608.9038, mean_absolute_error: 0.0901, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.929, predictive_accuracy: 0.9424, prior_entropy: 0.3411, recall: 0.9424, relative_absolute_error: 0.7599, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2072, root_relative_squared_error: 0.8521, scimark_benchmark: 1376.3353, usercpu_time_millis: 47.794, usercpu_time_millis_testing: 1.107, usercpu_time_millis_training: 46.687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9041, f_measure: 0.9268, kappa: 0.2533, kb_relative_information_score: -750.9182, mean_absolute_error: 0.094, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9364, predictive_accuracy: 0.9444, prior_entropy: 0.3411, recall: 0.9444, relative_absolute_error: 0.7928, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.208, root_relative_squared_error: 0.8553, scimark_benchmark: 1379.3624, usercpu_time_millis: 29.688, usercpu_time_millis_testing: 0.496, usercpu_time_millis_training: 29.192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.829, f_measure: 0.9063, kb_relative_information_score: -1425.3278, mean_absolute_error: 0.1089, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9184, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2295, root_relative_squared_error: 0.9435, scimark_benchmark: 1377.7858, usercpu_time_millis: 12.648, usercpu_time_millis_testing: 0.27, usercpu_time_millis_training: 12.378,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8794, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -1126.0312, mean_absolute_error: 0.1029, 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: 0.8677, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2206, root_relative_squared_error: 0.907, scimark_benchmark: 1372.1385, usercpu_time_millis: 11.576, usercpu_time_millis_testing: 0.237, usercpu_time_millis_training: 11.339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.913, f_measure: 0.9242, kappa: 0.225, kb_relative_information_score: -625.284, mean_absolute_error: 0.0921, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9324, predictive_accuracy: 0.9428, prior_entropy: 0.3411, recall: 0.9428, relative_absolute_error: 0.7765, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2074, root_relative_squared_error: 0.8528, scimark_benchmark: 1365.4818, usercpu_time_millis: 13.972, usercpu_time_millis_testing: 0.613, usercpu_time_millis_training: 13.359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.9063, kb_relative_information_score: 4.4931, mean_absolute_error: 0.1182, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9967, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1371.2629, usercpu_time_millis: 3.714, usercpu_time_millis_testing: 0.578, usercpu_time_millis_training: 3.136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9097, f_measure: 0.9279, kappa: 0.2832, kb_relative_information_score: -610.3187, mean_absolute_error: 0.0901, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.929, predictive_accuracy: 0.9424, prior_entropy: 0.3411, recall: 0.9424, relative_absolute_error: 0.7599, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2063, root_relative_squared_error: 0.8481, scimark_benchmark: 1372.521, usercpu_time_millis: 33.006, usercpu_time_millis_testing: 0.656, usercpu_time_millis_training: 32.35,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9107, f_measure: 0.9214, kappa: 0.1854, kb_relative_information_score: -645.4923, mean_absolute_error: 0.0936, 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: 0.789, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2089, root_relative_squared_error: 0.8588, scimark_benchmark: 1373.2471, usercpu_time_millis: 23.847, usercpu_time_millis_testing: 1.078, usercpu_time_millis_training: 22.769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9111, f_measure: 0.9208, kappa: 0.1773, kb_relative_information_score: -707.5906, mean_absolute_error: 0.0955, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9372, predictive_accuracy: 0.9424, prior_entropy: 0.3411, recall: 0.9424, relative_absolute_error: 0.8053, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2083, root_relative_squared_error: 0.8563, scimark_benchmark: 1372.6974, usercpu_time_millis: 19.434, usercpu_time_millis_testing: 1.059, usercpu_time_millis_training: 18.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8314, f_measure: 0.9063, kb_relative_information_score: -1344.5078, 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: 0.9151, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2286, root_relative_squared_error: 0.9398, scimark_benchmark: 1371.6708, usercpu_time_millis: 16.924, usercpu_time_millis_testing: 0.6, usercpu_time_millis_training: 16.324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9012, f_measure: 0.9259, kappa: 0.2479, kb_relative_information_score: -750.7288, mean_absolute_error: 0.094, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9322, predictive_accuracy: 0.9432, prior_entropy: 0.3411, recall: 0.9432, relative_absolute_error: 0.7923, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2084, root_relative_squared_error: 0.8568, scimark_benchmark: 1369.4044, usercpu_time_millis: 13.488, usercpu_time_millis_testing: 0.214, usercpu_time_millis_training: 13.274,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9029, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -865.4827, mean_absolute_error: 0.1009, 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: 0.8504, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2165, root_relative_squared_error: 0.8903, scimark_benchmark: 1372.54, usercpu_time_millis: 13.256, usercpu_time_millis_testing: 1.148, usercpu_time_millis_training: 12.108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8827, f_measure: 0.9122, kappa: 0.0755, kb_relative_information_score: -1019.5484, mean_absolute_error: 0.1016, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9243, predictive_accuracy: 0.9384, prior_entropy: 0.3411, recall: 0.9384, relative_absolute_error: 0.8563, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2161, root_relative_squared_error: 0.8883, scimark_benchmark: 1369.7881, usercpu_time_millis: 8.136, usercpu_time_millis_testing: 0.314, usercpu_time_millis_training: 7.822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.9063, kb_relative_information_score: 1.6351, mean_absolute_error: 0.1183, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9978, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1372.7235, usercpu_time_millis: 3.305, usercpu_time_millis_testing: 0.576, usercpu_time_millis_training: 2.729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8989, f_measure: 0.9256, kappa: 0.2461, kb_relative_information_score: -837.8528, mean_absolute_error: 0.0941, 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: 0.7932, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2093, root_relative_squared_error: 0.8605, scimark_benchmark: 1737.6333, usercpu_time_millis: 79.32, usercpu_time_millis_testing: 0.6, usercpu_time_millis_training: 78.72,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8959, f_measure: 0.9305, kappa: 0.3202, kb_relative_information_score: -783.1204, mean_absolute_error: 0.091, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.93, predictive_accuracy: 0.9428, prior_entropy: 0.3411, recall: 0.9428, relative_absolute_error: 0.7673, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2121, root_relative_squared_error: 0.8722, scimark_benchmark: 1381.9255, usercpu_time_millis: 56.44, usercpu_time_millis_testing: 0.35, usercpu_time_millis_training: 56.09,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9026, f_measure: 0.923, kappa: 0.2043, kb_relative_information_score: -841.5646, mean_absolute_error: 0.0963, 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: 0.812, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2096, root_relative_squared_error: 0.8618, scimark_benchmark: 1332.6566, usercpu_time_millis: 52.52, usercpu_time_millis_testing: 1.07, usercpu_time_millis_training: 51.45,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8994, f_measure: 0.9248, kappa: 0.2284, kb_relative_information_score: -826.3283, mean_absolute_error: 0.0948, 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: 0.7997, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2095, root_relative_squared_error: 0.8614, scimark_benchmark: 1412.7435, usercpu_time_millis: 129.82, usercpu_time_millis_testing: 1.06, usercpu_time_millis_training: 128.76,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7854, f_measure: 0.9063, kb_relative_information_score: -1286.1469, 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: 0.9352, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2338, root_relative_squared_error: 0.9613, scimark_benchmark: 1407.6712, usercpu_time_millis: 6.37, usercpu_time_millis_testing: 0.35, usercpu_time_millis_training: 6.02,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9129, f_measure: 0.9245, kappa: 0.2228, kb_relative_information_score: -663.621, mean_absolute_error: 0.0937, 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: 0.7901, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2072, root_relative_squared_error: 0.8517, scimark_benchmark: 1387.3664, usercpu_time_millis: 16.06, usercpu_time_millis_testing: 0.85, usercpu_time_millis_training: 15.21,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8879, f_measure: 0.9108, kappa: 0.0559, kb_relative_information_score: -1001.3135, mean_absolute_error: 0.0997, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.932, predictive_accuracy: 0.9384, prior_entropy: 0.3411, recall: 0.9384, relative_absolute_error: 0.8405, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2157, root_relative_squared_error: 0.8869, scimark_benchmark: 1383.1812, usercpu_time_millis: 45.41, usercpu_time_millis_testing: 0.66, usercpu_time_millis_training: 44.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8576, f_measure: 0.9063, kb_relative_information_score: -1218.2433, 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: 0.2257, root_relative_squared_error: 0.9278, scimark_benchmark: 1414.0114, usercpu_time_millis: 5.38, usercpu_time_millis_testing: 0.3, usercpu_time_millis_training: 5.08,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8868, f_measure: 0.9219, kappa: 0.1932, kb_relative_information_score: -903.9439, mean_absolute_error: 0.0971, 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: 0.8186, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2122, root_relative_squared_error: 0.8726, scimark_benchmark: 1374.8386, usercpu_time_millis: 1.33, usercpu_time_millis_testing: 0.08, usercpu_time_millis_training: 1.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.833, f_measure: 0.9063, kb_relative_information_score: -1379.6003, 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: 0.2307, root_relative_squared_error: 0.9486, scimark_benchmark: 1464.6308, usercpu_time_millis: 5.68, usercpu_time_millis_testing: 0.38, usercpu_time_millis_training: 5.3,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8931, f_measure: 0.909, kappa: 0.0336, kb_relative_information_score: -955.2089, 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: 0.8296, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2145, root_relative_squared_error: 0.8819, scimark_benchmark: 1358.031, usercpu_time_millis: 83.66, usercpu_time_millis_testing: 1.25, usercpu_time_millis_training: 82.41,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8894, f_measure: 0.9275, kappa: 0.2838, kb_relative_information_score: -817.521, mean_absolute_error: 0.0925, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9267, predictive_accuracy: 0.9412, prior_entropy: 0.3411, recall: 0.9412, relative_absolute_error: 0.7796, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2139, root_relative_squared_error: 0.8794, scimark_benchmark: 1430.1421, usercpu_time_millis: 227.43, usercpu_time_millis_testing: 1.48, usercpu_time_millis_training: 225.95,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8922, f_measure: 0.914, kappa: 0.0967, kb_relative_information_score: -900.9566, mean_absolute_error: 0.0994, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9281, predictive_accuracy: 0.9392, prior_entropy: 0.3411, recall: 0.9392, relative_absolute_error: 0.838, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2136, root_relative_squared_error: 0.8783, scimark_benchmark: 1391.1707, usercpu_time_millis: 26.08, usercpu_time_millis_testing: 1.1, usercpu_time_millis_training: 24.98,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8998, f_measure: 0.9188, kappa: 0.1508, kb_relative_information_score: -775.0725, mean_absolute_error: 0.0969, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9415, predictive_accuracy: 0.942, prior_entropy: 0.3411, recall: 0.942, relative_absolute_error: 0.8171, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2109, root_relative_squared_error: 0.8671, scimark_benchmark: 1391.0189, usercpu_time_millis: 2.17, usercpu_time_millis_testing: 0.12, usercpu_time_millis_training: 2.05,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.907, f_measure: 0.9264, kappa: 0.2547, kb_relative_information_score: -730.5411, mean_absolute_error: 0.0925, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9318, predictive_accuracy: 0.9432, prior_entropy: 0.3411, recall: 0.9432, relative_absolute_error: 0.7802, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2069, root_relative_squared_error: 0.8506, scimark_benchmark: 1410.913, usercpu_time_millis: 106.33, usercpu_time_millis_testing: 1.31, usercpu_time_millis_training: 105.02,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9037, f_measure: 0.928, kappa: 0.2762, kb_relative_information_score: -769.498, mean_absolute_error: 0.0926, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.932, predictive_accuracy: 0.9436, prior_entropy: 0.3411, recall: 0.9436, relative_absolute_error: 0.7806, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2072, root_relative_squared_error: 0.8518, scimark_benchmark: 1486.2394, usercpu_time_millis: 8.29, usercpu_time_millis_testing: 0.17, usercpu_time_millis_training: 8.12,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8221, f_measure: 0.9063, kb_relative_information_score: -1440.1984, 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: 0.9227, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2291, root_relative_squared_error: 0.9419, scimark_benchmark: 1417.0636, usercpu_time_millis: 3.82, usercpu_time_millis_testing: 0.15, usercpu_time_millis_training: 3.67,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8269, f_measure: 0.9063, kb_relative_information_score: -1520.8515, mean_absolute_error: 0.1092, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9209, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2305, root_relative_squared_error: 0.9479, scimark_benchmark: 1412.0277, usercpu_time_millis: 20.14, usercpu_time_millis_testing: 0.27, usercpu_time_millis_training: 19.87,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8929, f_measure: 0.9269, kappa: 0.2803, kb_relative_information_score: -757.4316, mean_absolute_error: 0.0916, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9254, predictive_accuracy: 0.9404, prior_entropy: 0.3411, recall: 0.9404, relative_absolute_error: 0.7719, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.212, root_relative_squared_error: 0.8715, scimark_benchmark: 1368.6292, usercpu_time_millis: 111.99, usercpu_time_millis_testing: 1.21, usercpu_time_millis_training: 110.78,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9145, f_measure: 0.924, kappa: 0.2194, kb_relative_information_score: -615.6151, mean_absolute_error: 0.093, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9349, predictive_accuracy: 0.9432, prior_entropy: 0.3411, recall: 0.9432, relative_absolute_error: 0.7844, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2071, root_relative_squared_error: 0.8514, scimark_benchmark: 1367.343, usercpu_time_millis: 17.82, usercpu_time_millis_testing: 1.13, usercpu_time_millis_training: 16.69,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8982, f_measure: 0.9127, kappa: 0.0778, kb_relative_information_score: -810.2585, mean_absolute_error: 0.0976, 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: 0.8231, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.212, root_relative_squared_error: 0.8718, scimark_benchmark: 1351.1896, usercpu_time_millis: 4.79, usercpu_time_millis_testing: 0.21, usercpu_time_millis_training: 4.58,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9063, kb_relative_information_score: 2.5176, mean_absolute_error: 0.1184, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9981, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1390.4213, usercpu_time_millis: 4.09, usercpu_time_millis_testing: 0.51, usercpu_time_millis_training: 3.58,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8981, f_measure: 0.9195, kappa: 0.1696, kb_relative_information_score: -743.5566, mean_absolute_error: 0.0935, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9264, predictive_accuracy: 0.9404, prior_entropy: 0.3411, recall: 0.9404, relative_absolute_error: 0.7882, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2113, root_relative_squared_error: 0.8686, scimark_benchmark: 1342.2383, usercpu_time_millis: 9.46, usercpu_time_millis_testing: 0.22, usercpu_time_millis_training: 9.24,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8701, f_measure: 0.9063, kb_relative_information_score: -1100.5087, mean_absolute_error: 0.1047, 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: 0.8829, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2226, root_relative_squared_error: 0.9151, scimark_benchmark: 1425.3685, usercpu_time_millis: 3.45, usercpu_time_millis_testing: 0.3, usercpu_time_millis_training: 3.15,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8834, f_measure: 0.9288, kappa: 0.3127, kb_relative_information_score: -822.4766, mean_absolute_error: 0.0919, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.926, predictive_accuracy: 0.94, prior_entropy: 0.3411, recall: 0.94, relative_absolute_error: 0.7748, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2199, root_relative_squared_error: 0.9042, scimark_benchmark: 1407.5343, usercpu_time_millis: 223.92, usercpu_time_millis_testing: 1.38, usercpu_time_millis_training: 222.54,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8984, f_measure: 0.9227, kappa: 0.2069, kb_relative_information_score: -837.1656, mean_absolute_error: 0.0952, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9306, predictive_accuracy: 0.942, prior_entropy: 0.3411, recall: 0.942, relative_absolute_error: 0.803, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2103, root_relative_squared_error: 0.8646, scimark_benchmark: 1402.3373, usercpu_time_millis: 57.66, usercpu_time_millis_testing: 0.48, usercpu_time_millis_training: 57.18,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.905, f_measure: 0.9265, kappa: 0.2515, kb_relative_information_score: -742.4238, mean_absolute_error: 0.0934, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9349, predictive_accuracy: 0.944, prior_entropy: 0.3411, recall: 0.944, relative_absolute_error: 0.7874, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2077, root_relative_squared_error: 0.8541, scimark_benchmark: 1402.1965, usercpu_time_millis: 56.08, usercpu_time_millis_testing: 0.99, usercpu_time_millis_training: 55.09,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9063, kb_relative_information_score: 0.8877, 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: 0.9979, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1446.5362, usercpu_time_millis: 3.93, usercpu_time_millis_testing: 0.49, usercpu_time_millis_training: 3.44,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8948, f_measure: 0.9205, kappa: 0.1758, kb_relative_information_score: -865.8474, mean_absolute_error: 0.0971, 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: 0.8186, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2117, root_relative_squared_error: 0.8702, scimark_benchmark: 1395.9963, usercpu_time_millis: 77.69, usercpu_time_millis_testing: 1.24, usercpu_time_millis_training: 76.45,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.9063, kb_relative_information_score: -18.4355, mean_absolute_error: 0.1183, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.997, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1384.8366, usercpu_time_millis: 1.99, usercpu_time_millis_testing: 0.29, usercpu_time_millis_training: 1.7,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9047, f_measure: 0.9255, kappa: 0.2493, kb_relative_information_score: -685.918, mean_absolute_error: 0.0917, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9285, predictive_accuracy: 0.942, prior_entropy: 0.3411, recall: 0.942, relative_absolute_error: 0.7735, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2078, root_relative_squared_error: 0.8543, scimark_benchmark: 1355.2614, usercpu_time_millis: 87.73, usercpu_time_millis_testing: 1.38, usercpu_time_millis_training: 86.35,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9063, kb_relative_information_score: 5.4244, mean_absolute_error: 0.1181, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.996, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1388.5136, usercpu_time_millis: 2.38, usercpu_time_millis_testing: 0.3, usercpu_time_millis_training: 2.08,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8272, f_measure: 0.9063, kb_relative_information_score: -1494.1387, mean_absolute_error: 0.1092, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9209, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2308, root_relative_squared_error: 0.9488, scimark_benchmark: 1376.3004, usercpu_time_millis: 16.15, usercpu_time_millis_testing: 0.36, usercpu_time_millis_training: 15.79,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.9063, kb_relative_information_score: -34.1677, mean_absolute_error: 0.1185, 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: 0.9987, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1361.7914, usercpu_time_millis: 0.58, usercpu_time_millis_testing: 0.12, usercpu_time_millis_training: 0.46,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8941, f_measure: 0.9099, kappa: 0.0448, kb_relative_information_score: -880.441, mean_absolute_error: 0.0968, 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: 0.8164, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2147, root_relative_squared_error: 0.8826, scimark_benchmark: 1331.2487, usercpu_time_millis: 43.7, usercpu_time_millis_testing: 0.72, usercpu_time_millis_training: 42.98,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9016, f_measure: 0.909, kappa: 0.0336, kb_relative_information_score: -827.4675, mean_absolute_error: 0.0978, 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: 0.8243, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2137, root_relative_squared_error: 0.8788, scimark_benchmark: 1366.3526, usercpu_time_millis: 23.38, usercpu_time_millis_testing: 1.19, usercpu_time_millis_training: 22.19,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8996, f_measure: 0.9214, kappa: 0.1854, kb_relative_information_score: -787.0614, mean_absolute_error: 0.0954, 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: 0.8043, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.211, root_relative_squared_error: 0.8676, scimark_benchmark: 1473.7753, usercpu_time_millis: 39.43, usercpu_time_millis_testing: 0.7, usercpu_time_millis_training: 38.73,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9065, f_measure: 0.9259, kappa: 0.2479, kb_relative_information_score: -761.4507, mean_absolute_error: 0.0933, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9322, predictive_accuracy: 0.9432, prior_entropy: 0.3411, recall: 0.9432, relative_absolute_error: 0.7868, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2082, root_relative_squared_error: 0.856, scimark_benchmark: 1487.5906, usercpu_time_millis: 9.62, usercpu_time_millis_testing: 0.19, usercpu_time_millis_training: 9.43,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8924, f_measure: 0.9234, kappa: 0.2159, kb_relative_information_score: -885.783, mean_absolute_error: 0.0957, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9315, predictive_accuracy: 0.9424, prior_entropy: 0.3411, recall: 0.9424, relative_absolute_error: 0.8065, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2113, root_relative_squared_error: 0.869, scimark_benchmark: 1442.921, usercpu_time_millis: 2.46, usercpu_time_millis_testing: 0.03, usercpu_time_millis_training: 2.43,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8912, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -1010.7701, mean_absolute_error: 0.1004, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9205, predictive_accuracy: 0.9373, prior_entropy: 0.3411, recall: 0.9373, relative_absolute_error: 0.8468, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2169, root_relative_squared_error: 0.8917, scimark_benchmark: 1397.9529, usercpu_time_millis: 23.98, usercpu_time_millis_testing: 0.65, usercpu_time_millis_training: 23.33,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8918, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -979.6061, mean_absolute_error: 0.0991, 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: 0.8355, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2177, root_relative_squared_error: 0.8951, scimark_benchmark: 1359.5304, usercpu_time_millis: 7.39, usercpu_time_millis_testing: 0.18, usercpu_time_millis_training: 7.21,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.9063, kb_relative_information_score: 1.3806, mean_absolute_error: 0.1183, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9973, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1439.7382, usercpu_time_millis: 2.01, usercpu_time_millis_testing: 0.24, usercpu_time_millis_training: 1.77,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9149, f_measure: 0.9274, kappa: 0.265, kb_relative_information_score: -619.4254, mean_absolute_error: 0.0915, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9338, predictive_accuracy: 0.944, prior_entropy: 0.3411, recall: 0.944, relative_absolute_error: 0.7711, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2057, root_relative_squared_error: 0.8458, scimark_benchmark: 1393.4706, usercpu_time_millis: 23.32, usercpu_time_millis_testing: 0.8, usercpu_time_millis_training: 22.52,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8998, f_measure: 0.9253, kappa: 0.2356, kb_relative_information_score: -834.1263, mean_absolute_error: 0.0952, 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: 0.8023, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2097, root_relative_squared_error: 0.862, scimark_benchmark: 1427.4223, usercpu_time_millis: 38.74, usercpu_time_millis_testing: 0.37, usercpu_time_millis_training: 38.37,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8311, f_measure: 0.9063, kb_relative_information_score: -1480.7888, mean_absolute_error: 0.1089, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9181, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2299, root_relative_squared_error: 0.9451, scimark_benchmark: 1408.6269, usercpu_time_millis: 34.96, usercpu_time_millis_testing: 0.5, usercpu_time_millis_training: 34.46,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9038, f_measure: 0.9259, kappa: 0.2479, kb_relative_information_score: -750.0178, mean_absolute_error: 0.0935, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9322, 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: 0.2081, root_relative_squared_error: 0.8555, scimark_benchmark: 1385.0786, usercpu_time_millis: 83.4, usercpu_time_millis_testing: 1.07, usercpu_time_millis_training: 82.33,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8963, f_measure: 0.9145, kappa: 0.0992, kb_relative_information_score: -854.7653, mean_absolute_error: 0.0963, 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: 0.8119, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2133, root_relative_squared_error: 0.8771, scimark_benchmark: 1401.9193, usercpu_time_millis: 73.27, usercpu_time_millis_testing: 1.16, usercpu_time_millis_training: 72.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9044, f_measure: 0.9106, kappa: 0.0549, kb_relative_information_score: -804.3212, mean_absolute_error: 0.096, 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: 0.8097, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2129, root_relative_squared_error: 0.8751, scimark_benchmark: 1368.3394, usercpu_time_millis: 18.58, usercpu_time_millis_testing: 0.79, usercpu_time_millis_training: 17.79,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9155, f_measure: 0.9255, kappa: 0.2374, kb_relative_information_score: -631.3386, mean_absolute_error: 0.0927, 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: 0.7816, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2059, root_relative_squared_error: 0.8465, scimark_benchmark: 1362.0587, usercpu_time_millis: 36.06, usercpu_time_millis_testing: 1.6, usercpu_time_millis_training: 34.46,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9028, f_measure: 0.9302, kappa: 0.3146, kb_relative_information_score: -696.2972, mean_absolute_error: 0.0904, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9299, predictive_accuracy: 0.9428, prior_entropy: 0.3411, recall: 0.9428, relative_absolute_error: 0.7621, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2087, root_relative_squared_error: 0.8582, scimark_benchmark: 1424.9789, usercpu_time_millis: 101.05, usercpu_time_millis_testing: 1.25, usercpu_time_millis_training: 99.8,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8962, f_measure: 0.9127, kappa: 0.0778, kb_relative_information_score: -904.8195, mean_absolute_error: 0.0978, 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: 0.8247, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2134, root_relative_squared_error: 0.8773, scimark_benchmark: 1408.5922, usercpu_time_millis: 46.61, usercpu_time_millis_testing: 0.9, usercpu_time_millis_training: 45.71,

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