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: 0.8963, f_measure: 0.9208, kappa: 0.1773, kb_relative_information_score: -929.5173, mean_absolute_error: 0.0982, 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: 0.8281, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2112, root_relative_squared_error: 0.8684, scimark_benchmark: 1846.1643, usercpu_time_millis: 47.329, usercpu_time_millis_testing: 0.747, usercpu_time_millis_training: 46.582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9081, f_measure: 0.9264, kappa: 0.2547, kb_relative_information_score: -745.3868, mean_absolute_error: 0.0926, 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: 0.781, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2073, root_relative_squared_error: 0.8522, scimark_benchmark: 1846.5968, usercpu_time_millis: 33.473, usercpu_time_millis_testing: 0.472, usercpu_time_millis_training: 33.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8991, f_measure: 0.931, kappa: 0.3166, kb_relative_information_score: -733.6329, mean_absolute_error: 0.0912, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9329, predictive_accuracy: 0.9444, prior_entropy: 0.3411, recall: 0.9444, relative_absolute_error: 0.7687, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2097, root_relative_squared_error: 0.8623, scimark_benchmark: 1848.7762, usercpu_time_millis: 76.026, usercpu_time_millis_testing: 0.655, usercpu_time_millis_training: 75.371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9042, f_measure: 0.926, kappa: 0.256, kb_relative_information_score: -656.8819, mean_absolute_error: 0.091, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9283, predictive_accuracy: 0.942, prior_entropy: 0.3411, recall: 0.942, relative_absolute_error: 0.7676, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2085, root_relative_squared_error: 0.8572, scimark_benchmark: 1839.153, usercpu_time_millis: 48.47, usercpu_time_millis_testing: 1.173, usercpu_time_millis_training: 47.297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8369, f_measure: 0.9063, kb_relative_information_score: -1394.7171, mean_absolute_error: 0.1083, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9129, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2283, root_relative_squared_error: 0.9387, scimark_benchmark: 1709.4836, usercpu_time_millis: 37.368, usercpu_time_millis_testing: 0.658, usercpu_time_millis_training: 36.71,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8308, f_measure: 0.9063, kb_relative_information_score: -1423.1353, 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: 0.9168, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2296, root_relative_squared_error: 0.9439, scimark_benchmark: 1839.1431, usercpu_time_millis: 26.797, usercpu_time_millis_testing: 0.672, usercpu_time_millis_training: 26.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9085, f_measure: 0.924, kappa: 0.2194, kb_relative_information_score: -715.0683, mean_absolute_error: 0.0941, 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: 0.7937, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2084, root_relative_squared_error: 0.857, scimark_benchmark: 1855.0232, usercpu_time_millis: 16.082, usercpu_time_millis_testing: 0.518, usercpu_time_millis_training: 15.564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8887, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -1036.9164, 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: 0.843, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2169, root_relative_squared_error: 0.8917, scimark_benchmark: 1853.9121, usercpu_time_millis: 36.955, usercpu_time_millis_testing: 0.388, usercpu_time_millis_training: 36.567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8447, f_measure: 0.9063, kb_relative_information_score: -1242.896, 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: 0.9149, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2288, root_relative_squared_error: 0.9408, scimark_benchmark: 1845.7061, usercpu_time_millis: 9.245, usercpu_time_millis_testing: 0.957, usercpu_time_millis_training: 8.288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.912, f_measure: 0.9245, kappa: 0.2228, kb_relative_information_score: -681.1031, mean_absolute_error: 0.094, 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: 0.7924, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2072, root_relative_squared_error: 0.8518, scimark_benchmark: 1849.2344, usercpu_time_millis: 8.449, usercpu_time_millis_testing: 0.406, usercpu_time_millis_training: 8.043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.9063, kb_relative_information_score: 4.8721, 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: 0.9964, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1845.7061, usercpu_time_millis: 3.774, usercpu_time_millis_testing: 0.64, usercpu_time_millis_training: 3.134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9063, kb_relative_information_score: -3.3982, 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: 0.9964, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1775.4702, usercpu_time_millis: 2.468, usercpu_time_millis_testing: 0.34, usercpu_time_millis_training: 2.128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.9063, kb_relative_information_score: -3.4248, mean_absolute_error: 0.1183, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9977, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1807.9554, usercpu_time_millis: 1.08, usercpu_time_millis_testing: 0.154, usercpu_time_millis_training: 0.926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8908, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -1041.8612, mean_absolute_error: 0.1016, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9365, prior_entropy: 0.3411, recall: 0.9365, relative_absolute_error: 0.8569, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2191, root_relative_squared_error: 0.901, scimark_benchmark: 1849.3014, usercpu_time_millis: 18.255, usercpu_time_millis_testing: 0.712, usercpu_time_millis_training: 17.543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9029, f_measure: 0.926, kappa: 0.2445, kb_relative_information_score: -798.4546, mean_absolute_error: 0.094, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9356, predictive_accuracy: 0.944, prior_entropy: 0.3411, recall: 0.944, relative_absolute_error: 0.7924, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2081, root_relative_squared_error: 0.8557, scimark_benchmark: 1764.8342, usercpu_time_millis: 76.234, usercpu_time_millis_testing: 1, usercpu_time_millis_training: 75.234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8854, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -1064.2354, mean_absolute_error: 0.1007, 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: 0.8492, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2191, root_relative_squared_error: 0.901, scimark_benchmark: 1838.6293, usercpu_time_millis: 38.848, usercpu_time_millis_testing: 0.633, usercpu_time_millis_training: 38.215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8891, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -971.8961, mean_absolute_error: 0.0989, 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: 0.8339, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2158, root_relative_squared_error: 0.8875, scimark_benchmark: 1850.4154, usercpu_time_millis: 37.122, usercpu_time_millis_testing: 0.481, usercpu_time_millis_training: 36.641,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7774, f_measure: 0.9063, kb_relative_information_score: -1406.1545, mean_absolute_error: 0.111, 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: 0.9361, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2344, root_relative_squared_error: 0.9638, scimark_benchmark: 1843.3605, usercpu_time_millis: 10.268, usercpu_time_millis_testing: 0.548, usercpu_time_millis_training: 9.72,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.813, f_measure: 0.9063, kb_relative_information_score: -1707.3476, 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: 0.9275, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2333, root_relative_squared_error: 0.9592, scimark_benchmark: 1846.4335, usercpu_time_millis: 26.921, usercpu_time_millis_testing: 0.588, usercpu_time_millis_training: 26.333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8802, f_measure: 0.9063, kb_relative_information_score: -1137.0787, mean_absolute_error: 0.104, 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: 0.8772, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2224, root_relative_squared_error: 0.9144, scimark_benchmark: 1809.3271, usercpu_time_millis: 16.016, usercpu_time_millis_testing: 0.534, usercpu_time_millis_training: 15.482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8974, f_measure: 0.9214, kappa: 0.1854, kb_relative_information_score: -904.6535, mean_absolute_error: 0.0975, 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: 0.8219, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.211, root_relative_squared_error: 0.8675, scimark_benchmark: 1845.4842, usercpu_time_millis: 24.422, usercpu_time_millis_testing: 0.31, usercpu_time_millis_training: 24.112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8974, f_measure: 0.924, kappa: 0.2194, kb_relative_information_score: -798.8288, mean_absolute_error: 0.0945, 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: 0.7968, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2097, root_relative_squared_error: 0.862, scimark_benchmark: 1715.5791, usercpu_time_millis: 18.021, usercpu_time_millis_testing: 0.292, usercpu_time_millis_training: 17.729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8579, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -1288.2272, mean_absolute_error: 0.1046, 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: 0.8822, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2256, root_relative_squared_error: 0.9277, scimark_benchmark: 1734.5791, usercpu_time_millis: 20.201, usercpu_time_millis_testing: 0.675, usercpu_time_millis_training: 19.526,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8907, f_measure: 0.9122, kappa: 0.0755, kb_relative_information_score: -965.8988, mean_absolute_error: 0.1009, 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: 0.8509, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2145, root_relative_squared_error: 0.8819, scimark_benchmark: 1838.1026, usercpu_time_millis: 13.379, usercpu_time_millis_testing: 0.682, usercpu_time_millis_training: 12.697,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8981, f_measure: 0.9177, kappa: 0.1393, kb_relative_information_score: -873.3989, mean_absolute_error: 0.0964, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9369, predictive_accuracy: 0.9412, prior_entropy: 0.3411, recall: 0.9412, relative_absolute_error: 0.8128, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2124, root_relative_squared_error: 0.8735, scimark_benchmark: 1760.6272, usercpu_time_millis: 15.391, usercpu_time_millis_testing: 0.223, usercpu_time_millis_training: 15.168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8588, f_measure: 0.9063, kb_relative_information_score: -1181.3053, 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: 0.2294, root_relative_squared_error: 0.9434, scimark_benchmark: 1812.4164, usercpu_time_millis: 6.852, usercpu_time_millis_testing: 0.823, usercpu_time_millis_training: 6.029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8716, f_measure: 0.9127, kappa: 0.0778, kb_relative_information_score: -958.8345, mean_absolute_error: 0.0991, 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: 0.8358, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2164, root_relative_squared_error: 0.8897, scimark_benchmark: 1812.5296, usercpu_time_millis: 1.218, usercpu_time_millis_testing: 0.067, usercpu_time_millis_training: 1.151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8769, f_measure: 0.9098, kappa: 0.0508, kb_relative_information_score: -955.4853, mean_absolute_error: 0.0974, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.908, predictive_accuracy: 0.9365, prior_entropy: 0.3411, recall: 0.9365, relative_absolute_error: 0.8211, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2184, root_relative_squared_error: 0.8979, scimark_benchmark: 1837.6486, usercpu_time_millis: 1.18, usercpu_time_millis_testing: 0.056, usercpu_time_millis_training: 1.124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.903, f_measure: 0.9294, kappa: 0.3031, kb_relative_information_score: -705.4144, mean_absolute_error: 0.0906, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9298, predictive_accuracy: 0.9428, prior_entropy: 0.3411, recall: 0.9428, relative_absolute_error: 0.7642, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2093, root_relative_squared_error: 0.8604, scimark_benchmark: 1819.5182, usercpu_time_millis: 107.689, usercpu_time_millis_testing: 1.135, usercpu_time_millis_training: 106.554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8958, f_measure: 0.9315, kappa: 0.3296, kb_relative_information_score: -768.5987, mean_absolute_error: 0.0909, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9314, predictive_accuracy: 0.9436, prior_entropy: 0.3411, recall: 0.9436, relative_absolute_error: 0.7668, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2124, root_relative_squared_error: 0.8731, scimark_benchmark: 1808.3931, usercpu_time_millis: 181.052, usercpu_time_millis_testing: 1.7, usercpu_time_millis_training: 179.352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9032, f_measure: 0.9254, kappa: 0.2443, kb_relative_information_score: -799.563, mean_absolute_error: 0.0932, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9298, predictive_accuracy: 0.9424, prior_entropy: 0.3411, recall: 0.9424, relative_absolute_error: 0.7861, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2088, root_relative_squared_error: 0.8584, scimark_benchmark: 1771.3892, usercpu_time_millis: 75.347, usercpu_time_millis_testing: 0.586, usercpu_time_millis_training: 74.761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9019, f_measure: 0.9247, kappa: 0.2321, kb_relative_information_score: -802.0524, mean_absolute_error: 0.094, 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: 0.7921, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.209, root_relative_squared_error: 0.8591, scimark_benchmark: 1818.9591, usercpu_time_millis: 59.124, usercpu_time_millis_testing: 0.532, usercpu_time_millis_training: 58.592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9003, f_measure: 0.9222, kappa: 0.1993, kb_relative_information_score: -817.0272, mean_absolute_error: 0.0955, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9313, predictive_accuracy: 0.942, prior_entropy: 0.3411, recall: 0.942, relative_absolute_error: 0.8055, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2104, root_relative_squared_error: 0.8653, scimark_benchmark: 1776.0288, usercpu_time_millis: 50.837, usercpu_time_millis_testing: 0.724, usercpu_time_millis_training: 50.113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8897, f_measure: 0.9144, kappa: 0.1046, kb_relative_information_score: -884.7743, mean_absolute_error: 0.0958, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9232, predictive_accuracy: 0.9388, prior_entropy: 0.3411, recall: 0.9388, relative_absolute_error: 0.8075, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2153, root_relative_squared_error: 0.8854, scimark_benchmark: 1802.479, usercpu_time_millis: 32.717, usercpu_time_millis_testing: 0.28, usercpu_time_millis_training: 32.437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9121, f_measure: 0.9273, kappa: 0.257, kb_relative_information_score: -676.3516, mean_absolute_error: 0.0929, 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: 0.7829, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.206, root_relative_squared_error: 0.8469, scimark_benchmark: 1850.4457, usercpu_time_millis: 36.189, usercpu_time_millis_testing: 1.091, usercpu_time_millis_training: 35.098,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8858, f_measure: 0.9138, kappa: 0.0955, kb_relative_information_score: -1031.2665, mean_absolute_error: 0.1006, 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: 0.8483, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2148, root_relative_squared_error: 0.8832, scimark_benchmark: 1852.9259, usercpu_time_millis: 6.253, usercpu_time_millis_testing: 0.146, usercpu_time_millis_training: 6.107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8711, f_measure: 0.9063, kb_relative_information_score: -1204.518, 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: 0.2249, root_relative_squared_error: 0.9246, scimark_benchmark: 1848.388, usercpu_time_millis: 2.422, usercpu_time_millis_testing: 0.113, usercpu_time_millis_training: 2.309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9027, f_measure: 0.9234, kappa: 0.2159, kb_relative_information_score: -812.1258, mean_absolute_error: 0.0946, 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: 0.7972, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2086, root_relative_squared_error: 0.8576, scimark_benchmark: 1729.3292, usercpu_time_millis: 118.073, usercpu_time_millis_testing: 1.113, usercpu_time_millis_training: 116.96,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9026, f_measure: 0.9267, kappa: 0.2643, kb_relative_information_score: -721.6445, mean_absolute_error: 0.0918, 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: 0.7738, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.209, root_relative_squared_error: 0.8592, scimark_benchmark: 1847.3406, usercpu_time_millis: 72.248, usercpu_time_millis_testing: 0.777, usercpu_time_millis_training: 71.471,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8947, f_measure: 0.9205, kappa: 0.1758, kb_relative_information_score: -919.6519, mean_absolute_error: 0.0976, 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: 0.8231, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2113, root_relative_squared_error: 0.8687, scimark_benchmark: 1745.8076, usercpu_time_millis: 24.586, usercpu_time_millis_testing: 0.288, usercpu_time_millis_training: 24.298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9052, f_measure: 0.9216, kappa: 0.1916, kb_relative_information_score: -755.795, mean_absolute_error: 0.0951, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9322, predictive_accuracy: 0.942, prior_entropy: 0.3411, recall: 0.942, relative_absolute_error: 0.8022, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2095, root_relative_squared_error: 0.8613, scimark_benchmark: 1745.4764, usercpu_time_millis: 17.046, usercpu_time_millis_testing: 0.473, usercpu_time_millis_training: 16.573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9104, f_measure: 0.9274, kappa: 0.265, kb_relative_information_score: -715.1627, mean_absolute_error: 0.0925, 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: 0.78, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2064, root_relative_squared_error: 0.8485, scimark_benchmark: 1845.9141, usercpu_time_millis: 25.011, usercpu_time_millis_testing: 0.457, usercpu_time_millis_training: 24.554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.829, f_measure: 0.9063, kb_relative_information_score: -1524.4492, mean_absolute_error: 0.1091, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.92, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2307, root_relative_squared_error: 0.9485, scimark_benchmark: 1767.0582, usercpu_time_millis: 21.011, usercpu_time_millis_testing: 0.508, usercpu_time_millis_training: 20.503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8949, f_measure: 0.9175, kappa: 0.1378, kb_relative_information_score: -900.5072, mean_absolute_error: 0.0983, 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: 0.8285, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2124, root_relative_squared_error: 0.8732, scimark_benchmark: 1767.0582, usercpu_time_millis: 19.856, usercpu_time_millis_testing: 0.478, usercpu_time_millis_training: 19.378,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8689, f_measure: 0.9063, kb_relative_information_score: -1211.3395, 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: 0.2247, root_relative_squared_error: 0.9237, scimark_benchmark: 1800.6422, usercpu_time_millis: 16.753, usercpu_time_millis_testing: 0.609, usercpu_time_millis_training: 16.144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8902, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -1019.196, mean_absolute_error: 0.0999, 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: 0.8424, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2179, root_relative_squared_error: 0.896, scimark_benchmark: 1840.7014, usercpu_time_millis: 6.225, usercpu_time_millis_testing: 0.149, usercpu_time_millis_training: 6.076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.9063, kb_relative_information_score: 3.5523, 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: 0.9974, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1738.1879, usercpu_time_millis: 3.13, usercpu_time_millis_testing: 0.596, usercpu_time_millis_training: 2.534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8865, f_measure: 0.9118, kappa: 0.0669, kb_relative_information_score: -1026.0982, mean_absolute_error: 0.0996, 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: 0.8399, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2152, root_relative_squared_error: 0.885, scimark_benchmark: 1728.2485, usercpu_time_millis: 11.513, usercpu_time_millis_testing: 0.141, usercpu_time_millis_training: 11.372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8848, f_measure: 0.914, kappa: 0.0967, kb_relative_information_score: -1042.4258, mean_absolute_error: 0.1012, 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: 0.8529, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2152, root_relative_squared_error: 0.8849, scimark_benchmark: 1765.8406, usercpu_time_millis: 10.17, usercpu_time_millis_testing: 0.249, usercpu_time_millis_training: 9.921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8836, f_measure: 0.9071, kappa: 0.0108, kb_relative_information_score: -1087.9074, mean_absolute_error: 0.101, 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: 0.8513, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2177, root_relative_squared_error: 0.8949, scimark_benchmark: 1765.8406, usercpu_time_millis: 10.18, usercpu_time_millis_testing: 0.119, usercpu_time_millis_training: 10.061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8983, f_measure: 0.9315, kappa: 0.3296, kb_relative_information_score: -731.7632, mean_absolute_error: 0.0906, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9314, predictive_accuracy: 0.9436, prior_entropy: 0.3411, recall: 0.9436, relative_absolute_error: 0.7641, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2103, root_relative_squared_error: 0.8646, scimark_benchmark: 1736.5552, usercpu_time_millis: 154.511, usercpu_time_millis_testing: 1.386, usercpu_time_millis_training: 153.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8997, f_measure: 0.9205, kappa: 0.1758, kb_relative_information_score: -805.5243, mean_absolute_error: 0.0956, 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: 0.8062, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.211, root_relative_squared_error: 0.8677, scimark_benchmark: 1734.7321, usercpu_time_millis: 45.597, usercpu_time_millis_testing: 0.74, usercpu_time_millis_training: 44.857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8937, f_measure: 0.9183, kappa: 0.1479, kb_relative_information_score: -925.6923, mean_absolute_error: 0.0987, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9345, predictive_accuracy: 0.9412, prior_entropy: 0.3411, recall: 0.9412, relative_absolute_error: 0.832, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2121, root_relative_squared_error: 0.8723, scimark_benchmark: 1732.0988, usercpu_time_millis: 43.91, usercpu_time_millis_testing: 0.983, usercpu_time_millis_training: 42.927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8137, f_measure: 0.9063, kb_relative_information_score: -1715.5759, 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: 0.9274, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2333, root_relative_squared_error: 0.959, scimark_benchmark: 1717.2815, usercpu_time_millis: 41.054, usercpu_time_millis_testing: 0.861, usercpu_time_millis_training: 40.193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8907, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -1003.7269, mean_absolute_error: 0.0999, 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: 0.8421, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2179, root_relative_squared_error: 0.896, scimark_benchmark: 1735.5975, usercpu_time_millis: 37.582, usercpu_time_millis_testing: 0.934, usercpu_time_millis_training: 36.648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9044, f_measure: 0.925, kappa: 0.2302, kb_relative_information_score: -746.9941, mean_absolute_error: 0.0948, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9375, predictive_accuracy: 0.944, prior_entropy: 0.3411, recall: 0.944, relative_absolute_error: 0.7997, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2091, root_relative_squared_error: 0.8595, scimark_benchmark: 1733.299, usercpu_time_millis: 21.379, usercpu_time_millis_testing: 0.54, usercpu_time_millis_training: 20.839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8799, f_measure: 0.9063, kb_relative_information_score: -1160.0657, mean_absolute_error: 0.1033, 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: 0.8712, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2207, root_relative_squared_error: 0.9073, scimark_benchmark: 1730.1903, usercpu_time_millis: 26.947, usercpu_time_millis_testing: 0.45, usercpu_time_millis_training: 26.497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.903, f_measure: 0.9269, kappa: 0.2583, kb_relative_information_score: -742.6671, mean_absolute_error: 0.0934, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9343, predictive_accuracy: 0.944, prior_entropy: 0.3411, recall: 0.944, relative_absolute_error: 0.7876, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2082, root_relative_squared_error: 0.8559, scimark_benchmark: 1725.3223, usercpu_time_millis: 21.519, usercpu_time_millis_testing: 0.352, usercpu_time_millis_training: 21.167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9024, f_measure: 0.9261, kappa: 0.2607, kb_relative_information_score: -724.3728, mean_absolute_error: 0.0917, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9273, predictive_accuracy: 0.9416, prior_entropy: 0.3411, recall: 0.9416, relative_absolute_error: 0.7734, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2093, root_relative_squared_error: 0.8605, scimark_benchmark: 1735.1328, usercpu_time_millis: 12.419, usercpu_time_millis_testing: 0.131, usercpu_time_millis_training: 12.288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.9063, kb_relative_information_score: 4.556, 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: 0.9966, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1729.3645, usercpu_time_millis: 3.375, usercpu_time_millis_testing: 0.563, usercpu_time_millis_training: 2.812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8939, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -1022.8383, mean_absolute_error: 0.1019, 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: 0.8595, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2199, root_relative_squared_error: 0.9042, scimark_benchmark: 1736.9134, usercpu_time_millis: 6.553, usercpu_time_millis_testing: 0.379, usercpu_time_millis_training: 6.174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8246, f_measure: 0.9063, kb_relative_information_score: -1176.429, mean_absolute_error: 0.1096, 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: 0.9239, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2309, root_relative_squared_error: 0.9494, scimark_benchmark: 2133.929, usercpu_time_millis: 3.547, usercpu_time_millis_testing: 0.292, usercpu_time_millis_training: 3.255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8319, f_measure: 0.9063, kb_relative_information_score: -1320.3478, mean_absolute_error: 0.1088, 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: 0.9176, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2299, root_relative_squared_error: 0.9451, scimark_benchmark: 1736.9559, usercpu_time_millis: 4.735, usercpu_time_millis_testing: 0.218, usercpu_time_millis_training: 4.517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9119, f_measure: 0.9183, kappa: 0.1479, kb_relative_information_score: -659.173, mean_absolute_error: 0.0947, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9345, predictive_accuracy: 0.9412, prior_entropy: 0.3411, recall: 0.9412, relative_absolute_error: 0.7981, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2096, root_relative_squared_error: 0.8619, scimark_benchmark: 1737.9267, usercpu_time_millis: 1.907, usercpu_time_millis_testing: 0.145, usercpu_time_millis_training: 1.762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.9063, kb_relative_information_score: 3.5744, 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: 0.9966, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1721.3501, usercpu_time_millis: 1.822, usercpu_time_millis_testing: 0.267, usercpu_time_millis_training: 1.555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9024, f_measure: 0.9254, kappa: 0.2443, kb_relative_information_score: -769.8669, mean_absolute_error: 0.0937, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9298, predictive_accuracy: 0.9424, prior_entropy: 0.3411, recall: 0.9424, relative_absolute_error: 0.7902, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2084, root_relative_squared_error: 0.8569, scimark_benchmark: 1746.0599, usercpu_time_millis: 108.993, usercpu_time_millis_testing: 1.173, usercpu_time_millis_training: 107.82,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.914, f_measure: 0.9265, kappa: 0.2515, kb_relative_information_score: -679.4077, mean_absolute_error: 0.0928, 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: 0.782, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2062, root_relative_squared_error: 0.848, scimark_benchmark: 1745.2229, usercpu_time_millis: 47.261, usercpu_time_millis_testing: 1.487, usercpu_time_millis_training: 45.774,

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