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: 0.8896, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -1087.6799, mean_absolute_error: 0.1032, 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: 0.8704, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2217, root_relative_squared_error: 0.9116, scimark_benchmark: 1233.1997, usercpu_time_millis: 70.579, usercpu_time_millis_testing: 4.483, usercpu_time_millis_training: 66.096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9152, f_measure: 0.9255, kappa: 0.2409, kb_relative_information_score: -586.0984, mean_absolute_error: 0.0909, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9327, predictive_accuracy: 0.9432, prior_entropy: 0.3411, recall: 0.9432, relative_absolute_error: 0.766, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2064, root_relative_squared_error: 0.8485, scimark_benchmark: 1230.3393, usercpu_time_millis: 67.064, usercpu_time_millis_testing: 3.504, usercpu_time_millis_training: 63.56,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9072, f_measure: 0.9183, kappa: 0.1479, kb_relative_information_score: -719.5223, mean_absolute_error: 0.096, 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: 0.8096, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2094, root_relative_squared_error: 0.8609, scimark_benchmark: 1233.6055, usercpu_time_millis: 65.16, usercpu_time_millis_testing: 4.136, usercpu_time_millis_training: 61.024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9161, f_measure: 0.92, kappa: 0.1676, kb_relative_information_score: -645.744, mean_absolute_error: 0.0946, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9364, predictive_accuracy: 0.942, prior_entropy: 0.3411, recall: 0.942, relative_absolute_error: 0.7977, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2081, root_relative_squared_error: 0.8557, scimark_benchmark: 1225.1854, usercpu_time_millis: 84.123, usercpu_time_millis_testing: 6.082, usercpu_time_millis_training: 78.041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9152, f_measure: 0.9197, kappa: 0.1661, kb_relative_information_score: -644.1633, mean_absolute_error: 0.0948, 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: 0.7996, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2082, root_relative_squared_error: 0.8562, scimark_benchmark: 1233.3583, usercpu_time_millis: 88.58, usercpu_time_millis_testing: 6.703, usercpu_time_millis_training: 81.877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9085, f_measure: 0.9208, kappa: 0.1773, kb_relative_information_score: -736.2686, mean_absolute_error: 0.0958, 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: 0.8074, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2091, root_relative_squared_error: 0.8597, scimark_benchmark: 1236.1941, usercpu_time_millis: 8.754, usercpu_time_millis_testing: 0.591, usercpu_time_millis_training: 8.163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9133, f_measure: 0.9259, kappa: 0.2479, kb_relative_information_score: -591.9667, mean_absolute_error: 0.0915, 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: 0.7712, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2062, root_relative_squared_error: 0.8479, scimark_benchmark: 1235.9075, usercpu_time_millis: 78.673, usercpu_time_millis_testing: 3.97, usercpu_time_millis_training: 74.703,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9015, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -901.7329, 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: 0.8435, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2163, root_relative_squared_error: 0.8895, scimark_benchmark: 1220.3977, usercpu_time_millis: 62.463, usercpu_time_millis_testing: 4.483, usercpu_time_millis_training: 57.98,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8861, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -1065.6939, mean_absolute_error: 0.104, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9365, prior_entropy: 0.3411, recall: 0.9365, relative_absolute_error: 0.8767, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2218, root_relative_squared_error: 0.9119, scimark_benchmark: 1243.4127, usercpu_time_millis: 50.857, usercpu_time_millis_testing: 3.75, usercpu_time_millis_training: 47.107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8481, f_measure: 0.9063, kb_relative_information_score: -1216.5053, mean_absolute_error: 0.1104, 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: 0.9312, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2313, root_relative_squared_error: 0.951, scimark_benchmark: 1236.5822, usercpu_time_millis: 29.901, usercpu_time_millis_testing: 2.77, usercpu_time_millis_training: 27.131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9115, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -718.8098, mean_absolute_error: 0.0979, 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: 0.8254, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2129, root_relative_squared_error: 0.8754, scimark_benchmark: 1232.9673, usercpu_time_millis: 34.668, usercpu_time_millis_testing: 3.079, usercpu_time_millis_training: 31.589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8988, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -960.6964, mean_absolute_error: 0.1012, 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: 0.8535, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2185, root_relative_squared_error: 0.8984, scimark_benchmark: 1234.4142, usercpu_time_millis: 71.685, usercpu_time_millis_testing: 5.457, usercpu_time_millis_training: 66.228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9161, f_measure: 0.9257, kappa: 0.2427, kb_relative_information_score: -630.2344, mean_absolute_error: 0.0925, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9341, predictive_accuracy: 0.9436, prior_entropy: 0.3411, recall: 0.9436, relative_absolute_error: 0.7803, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2058, root_relative_squared_error: 0.8461, scimark_benchmark: 1243.8948, usercpu_time_millis: 126.1, usercpu_time_millis_testing: 4.944, usercpu_time_millis_training: 121.156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9065, f_measure: 0.909, kappa: 0.0336, kb_relative_information_score: -794.5982, mean_absolute_error: 0.0973, 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: 0.8202, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2132, root_relative_squared_error: 0.8765, scimark_benchmark: 1241.7731, usercpu_time_millis: 65.447, usercpu_time_millis_testing: 4.334, usercpu_time_millis_training: 61.113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9101, f_measure: 0.9186, kappa: 0.1548, kb_relative_information_score: -668.7776, mean_absolute_error: 0.0941, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9302, predictive_accuracy: 0.9408, prior_entropy: 0.3411, recall: 0.9408, relative_absolute_error: 0.7929, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2093, root_relative_squared_error: 0.8605, scimark_benchmark: 1250.8299, usercpu_time_millis: 6.678, usercpu_time_millis_testing: 0.446, usercpu_time_millis_training: 6.232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9169, f_measure: 0.924, kappa: 0.2194, kb_relative_information_score: -572.5774, mean_absolute_error: 0.0917, 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: 0.7734, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2058, root_relative_squared_error: 0.8461, scimark_benchmark: 1239.7712, usercpu_time_millis: 56.889, usercpu_time_millis_testing: 3.963, usercpu_time_millis_training: 52.926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9027, f_measure: 0.9063, kb_relative_information_score: -785.3749, mean_absolute_error: 0.1012, 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: 0.8536, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2172, root_relative_squared_error: 0.8928, scimark_benchmark: 1244.2054, usercpu_time_millis: 44.545, usercpu_time_millis_testing: 4.644, usercpu_time_millis_training: 39.901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9097, f_measure: 0.9227, kappa: 0.2026, kb_relative_information_score: -660.6667, mean_absolute_error: 0.0929, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9351, predictive_accuracy: 0.9428, prior_entropy: 0.3411, recall: 0.9428, relative_absolute_error: 0.7834, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.209, root_relative_squared_error: 0.8594, scimark_benchmark: 1237.0454, usercpu_time_millis: 107.888, usercpu_time_millis_testing: 4.97, usercpu_time_millis_training: 102.918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8305, f_measure: 0.9063, kb_relative_information_score: -1082.6526, mean_absolute_error: 0.1103, 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: 0.9303, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2311, root_relative_squared_error: 0.9504, scimark_benchmark: 1249.8596, usercpu_time_millis: 12.828, usercpu_time_millis_testing: 1.117, usercpu_time_millis_training: 11.711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8707, f_measure: 0.9063, kb_relative_information_score: -1179.6487, 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: 0.9016, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2267, root_relative_squared_error: 0.932, scimark_benchmark: 1232.003, usercpu_time_millis: 19.387, usercpu_time_millis_testing: 1.389, usercpu_time_millis_training: 17.998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9109, f_measure: 0.9108, kappa: 0.0559, kb_relative_information_score: -731.3745, mean_absolute_error: 0.0961, 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: 0.8099, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2117, root_relative_squared_error: 0.8702, scimark_benchmark: 1239.369, usercpu_time_millis: 17.36, usercpu_time_millis_testing: 1.329, usercpu_time_millis_training: 16.031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9075, f_measure: 0.909, kappa: 0.0336, kb_relative_information_score: -770.9825, 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: 0.8295, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.213, root_relative_squared_error: 0.8759, scimark_benchmark: 1238.9746, usercpu_time_millis: 71.88, usercpu_time_millis_testing: 5.775, usercpu_time_millis_training: 66.105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9075, f_measure: 0.9082, kappa: 0.0232, kb_relative_information_score: -756.5987, mean_absolute_error: 0.0986, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9415, predictive_accuracy: 0.9376, prior_entropy: 0.3411, recall: 0.9376, relative_absolute_error: 0.8311, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2126, root_relative_squared_error: 0.8743, scimark_benchmark: 1239.1351, usercpu_time_millis: 13.621, usercpu_time_millis_testing: 1.286, usercpu_time_millis_training: 12.335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9098, f_measure: 0.9164, kappa: 0.1263, kb_relative_information_score: -696.6448, mean_absolute_error: 0.094, 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: 0.7921, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2101, root_relative_squared_error: 0.8639, scimark_benchmark: 1233.4757, usercpu_time_millis: 144.543, usercpu_time_millis_testing: 6.684, usercpu_time_millis_training: 137.859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9013, f_measure: 0.9097, kappa: 0.0438, kb_relative_information_score: -756.6686, mean_absolute_error: 0.0983, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9211, predictive_accuracy: 0.9376, prior_entropy: 0.3411, recall: 0.9376, relative_absolute_error: 0.8285, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2126, root_relative_squared_error: 0.8742, scimark_benchmark: 1242.1511, usercpu_time_millis: 6.452, usercpu_time_millis_testing: 0.388, usercpu_time_millis_training: 6.064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.845, f_measure: 0.9063, kb_relative_information_score: -1197.5809, mean_absolute_error: 0.1063, 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: 0.8965, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2273, root_relative_squared_error: 0.9347, scimark_benchmark: 1239.2952, usercpu_time_millis: 2.296, usercpu_time_millis_testing: 0.381, usercpu_time_millis_training: 1.915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9088, f_measure: 0.9157, kappa: 0.1175, kb_relative_information_score: -692.4914, mean_absolute_error: 0.0964, 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: 0.8125, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2101, root_relative_squared_error: 0.8637, scimark_benchmark: 1226.1812, usercpu_time_millis: 52.03, usercpu_time_millis_testing: 4.057, usercpu_time_millis_training: 47.973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8951, f_measure: 0.9073, kappa: 0.0116, kb_relative_information_score: -901.1512, mean_absolute_error: 0.1017, 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: 0.8572, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2172, root_relative_squared_error: 0.8929, scimark_benchmark: 1247.767, usercpu_time_millis: 44.48, usercpu_time_millis_testing: 3.598, usercpu_time_millis_training: 40.882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9032, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -900.8244, mean_absolute_error: 0.0996, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9205, predictive_accuracy: 0.9373, prior_entropy: 0.3411, recall: 0.9373, relative_absolute_error: 0.8398, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2164, root_relative_squared_error: 0.8898, scimark_benchmark: 1236.3201, usercpu_time_millis: 45.45, usercpu_time_millis_testing: 3.42, usercpu_time_millis_training: 42.03,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9026, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -867.2454, mean_absolute_error: 0.0992, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9205, predictive_accuracy: 0.9373, prior_entropy: 0.3411, recall: 0.9373, relative_absolute_error: 0.8363, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2149, root_relative_squared_error: 0.8837, scimark_benchmark: 1240.5607, usercpu_time_millis: 91.742, usercpu_time_millis_testing: 5.367, usercpu_time_millis_training: 86.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9139, f_measure: 0.9115, kappa: 0.0658, kb_relative_information_score: -658.3382, mean_absolute_error: 0.0965, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9271, predictive_accuracy: 0.9384, prior_entropy: 0.3411, recall: 0.9384, relative_absolute_error: 0.8132, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2114, root_relative_squared_error: 0.8693, scimark_benchmark: 1214.8667, usercpu_time_millis: 103.56, usercpu_time_millis_testing: 9.152, usercpu_time_millis_training: 94.408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8215, f_measure: 0.9063, kb_relative_information_score: -1096.5497, 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: 0.933, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2319, root_relative_squared_error: 0.9535, scimark_benchmark: 1233.0248, usercpu_time_millis: 22.389, usercpu_time_millis_testing: 1.96, usercpu_time_millis_training: 20.429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9019, f_measure: 0.909, kappa: 0.0336, kb_relative_information_score: -830.8036, mean_absolute_error: 0.0985, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9261, predictive_accuracy: 0.9376, prior_entropy: 0.3411, recall: 0.9376, relative_absolute_error: 0.8304, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2139, root_relative_squared_error: 0.8793, scimark_benchmark: 1202.7155, usercpu_time_millis: 14.615, usercpu_time_millis_testing: 0.82, usercpu_time_millis_training: 13.795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9067, f_measure: 0.9256, kappa: 0.2461, kb_relative_information_score: -614.2959, mean_absolute_error: 0.0916, 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: 0.7719, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.207, root_relative_squared_error: 0.8509, scimark_benchmark: 1230.155, usercpu_time_millis: 13.001, usercpu_time_millis_testing: 0.629, usercpu_time_millis_training: 12.372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9158, f_measure: 0.9263, kappa: 0.2463, kb_relative_information_score: -631.6904, mean_absolute_error: 0.0927, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9372, predictive_accuracy: 0.9444, prior_entropy: 0.3411, recall: 0.9444, relative_absolute_error: 0.7814, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2058, root_relative_squared_error: 0.8462, scimark_benchmark: 1218.249, usercpu_time_millis: 147.873, usercpu_time_millis_testing: 7.21, usercpu_time_millis_training: 140.663,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9109, f_measure: 0.9208, kappa: 0.1773, kb_relative_information_score: -692.5992, mean_absolute_error: 0.0953, 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: 0.8035, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.209, root_relative_squared_error: 0.8592, scimark_benchmark: 1241.4413, usercpu_time_millis: 10.933, usercpu_time_millis_testing: 0.874, usercpu_time_millis_training: 10.059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9023, f_measure: 0.909, kappa: 0.0336, kb_relative_information_score: -808.9694, mean_absolute_error: 0.0979, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9261, predictive_accuracy: 0.9376, prior_entropy: 0.3411, recall: 0.9376, relative_absolute_error: 0.8257, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2134, root_relative_squared_error: 0.8773, scimark_benchmark: 1246.7153, usercpu_time_millis: 92.214, usercpu_time_millis_testing: 5.487, usercpu_time_millis_training: 86.727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9164, f_measure: 0.9235, kappa: 0.2119, kb_relative_information_score: -579.4423, mean_absolute_error: 0.0922, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9359, predictive_accuracy: 0.9432, prior_entropy: 0.3411, recall: 0.9432, relative_absolute_error: 0.7775, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2068, root_relative_squared_error: 0.8503, scimark_benchmark: 1237.5479, usercpu_time_millis: 39.964, usercpu_time_millis_testing: 3.081, usercpu_time_millis_training: 36.883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9065, f_measure: 0.9115, kappa: 0.0658, kb_relative_information_score: -721.7442, mean_absolute_error: 0.0963, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9271, predictive_accuracy: 0.9384, prior_entropy: 0.3411, recall: 0.9384, relative_absolute_error: 0.8116, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2121, root_relative_squared_error: 0.8721, scimark_benchmark: 1231.0339, usercpu_time_millis: 5.454, usercpu_time_millis_testing: 0.463, usercpu_time_millis_training: 4.991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8312, f_measure: 0.9063, kb_relative_information_score: -1145.6822, mean_absolute_error: 0.1111, 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: 0.9368, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2322, root_relative_squared_error: 0.9548, scimark_benchmark: 1246.5827, usercpu_time_millis: 28.727, usercpu_time_millis_testing: 3.042, usercpu_time_millis_training: 25.685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9169, f_measure: 0.924, kappa: 0.2194, kb_relative_information_score: -580.2215, mean_absolute_error: 0.0925, 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: 0.7799, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2067, root_relative_squared_error: 0.8497, scimark_benchmark: 1237.7014, usercpu_time_millis: 101.884, usercpu_time_millis_testing: 7.772, usercpu_time_millis_training: 94.112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9057, f_measure: 0.9099, kappa: 0.0448, kb_relative_information_score: -771.7584, mean_absolute_error: 0.0984, 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: 0.8299, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2125, root_relative_squared_error: 0.8739, scimark_benchmark: 1244.9482, usercpu_time_millis: 22.497, usercpu_time_millis_testing: 2.022, usercpu_time_millis_training: 20.475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8597, f_measure: 0.9073, kappa: 0.0116, kb_relative_information_score: -1263.8915, mean_absolute_error: 0.1066, 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: 0.8986, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2264, root_relative_squared_error: 0.9311, scimark_benchmark: 1249.6983, usercpu_time_millis: 3.708, usercpu_time_millis_testing: 0.951, usercpu_time_millis_training: 2.757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8978, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -947.7983, mean_absolute_error: 0.101, 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: 0.8512, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2175, root_relative_squared_error: 0.8943, scimark_benchmark: 1243.0085, usercpu_time_millis: 14.86, usercpu_time_millis_testing: 0.83, usercpu_time_millis_training: 14.03,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9064, f_measure: 0.909, kappa: 0.0336, kb_relative_information_score: -812.252, mean_absolute_error: 0.0977, 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: 0.8241, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2139, root_relative_squared_error: 0.8794, scimark_benchmark: 1238.3068, usercpu_time_millis: 73.3, usercpu_time_millis_testing: 5.1, usercpu_time_millis_training: 68.2,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8612, f_measure: 0.9063, kb_relative_information_score: -1105.6628, mean_absolute_error: 0.1071, 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: 0.9027, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.226, root_relative_squared_error: 0.9291, scimark_benchmark: 1240.1034, usercpu_time_millis: 4.701, usercpu_time_millis_testing: 0.433, usercpu_time_millis_training: 4.268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8793, f_measure: 0.9063, kb_relative_information_score: -1097.8847, mean_absolute_error: 0.1061, 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: 0.8947, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2251, root_relative_squared_error: 0.9254, scimark_benchmark: 1251.8657, usercpu_time_millis: 49.144, usercpu_time_millis_testing: 3.977, usercpu_time_millis_training: 45.167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8941, f_measure: 0.9063, kb_relative_information_score: -931.8293, mean_absolute_error: 0.1039, 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: 0.8759, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2212, root_relative_squared_error: 0.9093, scimark_benchmark: 1238.5521, usercpu_time_millis: 39.909, usercpu_time_millis_testing: 3.691, usercpu_time_millis_training: 36.218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8933, f_measure: 0.9063, kb_relative_information_score: -957.9072, mean_absolute_error: 0.1042, 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: 0.8787, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2218, root_relative_squared_error: 0.9121, scimark_benchmark: 1239.9674, usercpu_time_millis: 57.877, usercpu_time_millis_testing: 5.511, usercpu_time_millis_training: 52.366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9073, f_measure: 0.9108, kappa: 0.0559, kb_relative_information_score: -781.4088, mean_absolute_error: 0.0966, 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: 0.8146, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2116, root_relative_squared_error: 0.8699, scimark_benchmark: 1248.5679, usercpu_time_millis: 34.225, usercpu_time_millis_testing: 1.449, usercpu_time_millis_training: 32.776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9057, f_measure: 0.9118, kappa: 0.0669, kb_relative_information_score: -766.655, mean_absolute_error: 0.0986, 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: 0.8312, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2123, root_relative_squared_error: 0.8728, scimark_benchmark: 1232.3997, usercpu_time_millis: 63.304, usercpu_time_millis_testing: 6.438, usercpu_time_millis_training: 56.866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8828, f_measure: 0.9063, kb_relative_information_score: -999.0916, mean_absolute_error: 0.1067, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.8997, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2252, root_relative_squared_error: 0.9259, scimark_benchmark: 1237.9459, usercpu_time_millis: 22.53, usercpu_time_millis_testing: 2.2, usercpu_time_millis_training: 20.33,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8972, f_measure: 0.9063, kb_relative_information_score: -841.939, mean_absolute_error: 0.1027, 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: 0.8659, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2188, root_relative_squared_error: 0.8998, scimark_benchmark: 1234.5603, usercpu_time_millis: 50.875, usercpu_time_millis_testing: 5.321, usercpu_time_millis_training: 45.554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8979, f_measure: 0.9071, kappa: 0.0108, kb_relative_information_score: -972.2257, mean_absolute_error: 0.1007, 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: 0.8492, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2182, root_relative_squared_error: 0.8972, scimark_benchmark: 1237.5448, usercpu_time_millis: 45.169, usercpu_time_millis_testing: 2.711, usercpu_time_millis_training: 42.458,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8907, f_measure: 0.9063, kb_relative_information_score: -949.4591, 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: 0.8831, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2225, root_relative_squared_error: 0.9146, scimark_benchmark: 1238.3984, usercpu_time_millis: 39.358, usercpu_time_millis_testing: 3.552, usercpu_time_millis_training: 35.806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9144, f_measure: 0.9253, kappa: 0.232, kb_relative_information_score: -660.2501, mean_absolute_error: 0.0939, 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: 0.7916, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2067, root_relative_squared_error: 0.85, scimark_benchmark: 1232.9619, usercpu_time_millis: 92.346, usercpu_time_millis_testing: 5.608, usercpu_time_millis_training: 86.738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9061, f_measure: 0.9099, kappa: 0.0448, kb_relative_information_score: -791.1949, mean_absolute_error: 0.0973, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9296, predictive_accuracy: 0.938, prior_entropy: 0.3411, recall: 0.938, relative_absolute_error: 0.8207, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2122, root_relative_squared_error: 0.8725, scimark_benchmark: 1234.6124, usercpu_time_millis: 84.861, usercpu_time_millis_testing: 4.327, usercpu_time_millis_training: 80.534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9077, f_measure: 0.9124, kappa: 0.0766, kb_relative_information_score: -738.9995, mean_absolute_error: 0.0971, 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: 0.8186, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2114, root_relative_squared_error: 0.8693, scimark_benchmark: 1242.8775, usercpu_time_millis: 12.514, usercpu_time_millis_testing: 1.137, usercpu_time_millis_training: 11.377,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8974, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -925.8954, 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: 0.8483, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2174, root_relative_squared_error: 0.8937, scimark_benchmark: 1229.7843, usercpu_time_millis: 19.264, usercpu_time_millis_testing: 1.406, usercpu_time_millis_training: 17.858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8418, f_measure: 0.9063, kb_relative_information_score: -1092.9722, mean_absolute_error: 0.1114, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9389, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2325, root_relative_squared_error: 0.9559, scimark_benchmark: 1214.7893, usercpu_time_millis: 7.381, usercpu_time_millis_testing: 0.689, usercpu_time_millis_training: 6.692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8762, f_measure: 0.9202, kappa: 0.1967, kb_relative_information_score: -870.7648, mean_absolute_error: 0.0931, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9181, predictive_accuracy: 0.9376, prior_entropy: 0.3411, recall: 0.9376, relative_absolute_error: 0.785, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2167, root_relative_squared_error: 0.8911, scimark_benchmark: 1210.0229, usercpu_time_millis: 4.157, usercpu_time_millis_testing: 0.905, usercpu_time_millis_training: 3.252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.917, f_measure: 0.929, kappa: 0.2792, kb_relative_information_score: -569.3945, mean_absolute_error: 0.0909, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9386, predictive_accuracy: 0.9455, prior_entropy: 0.3411, recall: 0.9455, relative_absolute_error: 0.7667, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.205, root_relative_squared_error: 0.8427, scimark_benchmark: 1236.3007, usercpu_time_millis: 54.845, usercpu_time_millis_testing: 2.841, usercpu_time_millis_training: 52.004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8993, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -930.6363, mean_absolute_error: 0.1001, 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: 0.8442, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2168, root_relative_squared_error: 0.8915, scimark_benchmark: 1235.6593, usercpu_time_millis: 55.516, usercpu_time_millis_testing: 3.318, usercpu_time_millis_training: 52.198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9067, f_measure: 0.9106, kappa: 0.0549, kb_relative_information_score: -753.4963, mean_absolute_error: 0.0983, 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: 0.8284, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2119, root_relative_squared_error: 0.8713, scimark_benchmark: 1240.8103, usercpu_time_millis: 52.672, usercpu_time_millis_testing: 4.823, usercpu_time_millis_training: 47.849,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.91, f_measure: 0.909, kappa: 0.0336, kb_relative_information_score: -762.5095, mean_absolute_error: 0.0967, 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: 0.8156, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2124, root_relative_squared_error: 0.8734, scimark_benchmark: 1240.285, usercpu_time_millis: 38.673, usercpu_time_millis_testing: 2.761, usercpu_time_millis_training: 35.912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.84, f_measure: 0.9063, kb_relative_information_score: -1346.1031, mean_absolute_error: 0.1093, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9214, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2303, root_relative_squared_error: 0.9471, scimark_benchmark: 1234.5132, usercpu_time_millis: 35.507, usercpu_time_millis_testing: 2.079, usercpu_time_millis_training: 33.428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9161, f_measure: 0.9214, kappa: 0.1854, kb_relative_information_score: -653.1641, mean_absolute_error: 0.0942, 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: 0.7943, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2073, root_relative_squared_error: 0.8523, scimark_benchmark: 1241.9736, usercpu_time_millis: 105.181, usercpu_time_millis_testing: 6.884, usercpu_time_millis_training: 98.297,

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