OpenML
Supervised Classification on ozone-level-8hr

Supervised Classification on ozone-level-8hr

Task 145855 Supervised Classification ozone-level-8hr 90654 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8848, f_measure: 0.9131, kappa: 0.0861, kb_relative_information_score: -998.6223, mean_absolute_error: 0.1004, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9263, predictive_accuracy: 0.9388, prior_entropy: 0.3411, recall: 0.9388, relative_absolute_error: 0.8467, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2149, root_relative_squared_error: 0.8837, scimark_benchmark: 1822.7532, usercpu_time_millis: 30.866, usercpu_time_millis_testing: 0.884, usercpu_time_millis_training: 29.982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8821, f_measure: 0.9099, kappa: 0.0448, kb_relative_information_score: -1103.3675, mean_absolute_error: 0.1019, 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: 0.8588, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2175, root_relative_squared_error: 0.8941, scimark_benchmark: 1820.3831, usercpu_time_millis: 23.331, usercpu_time_millis_testing: 0.365, usercpu_time_millis_training: 22.966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.887, f_measure: 0.9097, kappa: 0.0438, kb_relative_information_score: -933.4051, mean_absolute_error: 0.0969, 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: 0.8171, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2167, root_relative_squared_error: 0.8911, scimark_benchmark: 1830.308, usercpu_time_millis: 39.412, usercpu_time_millis_testing: 0.389, usercpu_time_millis_training: 39.023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.897, f_measure: 0.9142, kappa: 0.0979, kb_relative_information_score: -819.3282, mean_absolute_error: 0.0954, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9324, predictive_accuracy: 0.9396, prior_entropy: 0.3411, recall: 0.9396, relative_absolute_error: 0.8043, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2131, root_relative_squared_error: 0.8762, scimark_benchmark: 1818.6485, usercpu_time_millis: 23.69, usercpu_time_millis_testing: 0.374, usercpu_time_millis_training: 23.316,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8998, f_measure: 0.9242, kappa: 0.225, kb_relative_information_score: -788.3987, mean_absolute_error: 0.0947, 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: 0.7988, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2099, root_relative_squared_error: 0.8631, scimark_benchmark: 1813.4925, usercpu_time_millis: 20.21, usercpu_time_millis_testing: 0.27, usercpu_time_millis_training: 19.94,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8922, f_measure: 0.9322, kappa: 0.3404, kb_relative_information_score: -793.6683, mean_absolute_error: 0.0912, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9315, predictive_accuracy: 0.9436, prior_entropy: 0.3411, recall: 0.9436, relative_absolute_error: 0.7691, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2136, root_relative_squared_error: 0.8782, scimark_benchmark: 1804.5023, usercpu_time_millis: 80.695, usercpu_time_millis_testing: 0.762, usercpu_time_millis_training: 79.933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.907, f_measure: 0.925, kappa: 0.2302, kb_relative_information_score: -729.9489, mean_absolute_error: 0.0943, 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: 0.795, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2082, root_relative_squared_error: 0.8561, scimark_benchmark: 1736.8063, usercpu_time_millis: 20.482, usercpu_time_millis_testing: 0.556, usercpu_time_millis_training: 19.926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9083, f_measure: 0.9264, kappa: 0.2547, kb_relative_information_score: -636.8002, mean_absolute_error: 0.0917, 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: 0.7734, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2078, root_relative_squared_error: 0.8545, scimark_benchmark: 1732.2645, usercpu_time_millis: 18.802, usercpu_time_millis_testing: 0.453, usercpu_time_millis_training: 18.349,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.821, f_measure: 0.9063, kb_relative_information_score: -1252.2522, 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: 0.9221, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.231, root_relative_squared_error: 0.9499, scimark_benchmark: 1817.1383, usercpu_time_millis: 14.605, usercpu_time_millis_testing: 0.724, usercpu_time_millis_training: 13.881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8893, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -1024.9437, 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: 0.8507, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2175, root_relative_squared_error: 0.8944, scimark_benchmark: 1815.0507, usercpu_time_millis: 11.486, usercpu_time_millis_testing: 0.336, usercpu_time_millis_training: 11.15,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9053, f_measure: 0.909, kappa: 0.0336, kb_relative_information_score: -845.0364, mean_absolute_error: 0.0991, 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: 0.8357, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2146, root_relative_squared_error: 0.8825, scimark_benchmark: 1814.4589, usercpu_time_millis: 11.195, usercpu_time_millis_testing: 1, usercpu_time_millis_training: 10.195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.913, f_measure: 0.928, kappa: 0.2688, kb_relative_information_score: -588.5905, mean_absolute_error: 0.091, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9365, predictive_accuracy: 0.9448, prior_entropy: 0.3411, recall: 0.9448, relative_absolute_error: 0.7672, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2063, root_relative_squared_error: 0.8482, scimark_benchmark: 1818.9689, usercpu_time_millis: 10.067, usercpu_time_millis_testing: 0.44, usercpu_time_millis_training: 9.627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8171, f_measure: 0.9063, kb_relative_information_score: -733.417, 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: 0.9393, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2329, root_relative_squared_error: 0.9576, scimark_benchmark: 1806.872, usercpu_time_millis: 4.781, usercpu_time_millis_testing: 0.587, usercpu_time_millis_training: 4.194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, f_measure: 0.9063, kb_relative_information_score: 4.1716, 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: 0.9969, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1800.5785, usercpu_time_millis: 3.19, usercpu_time_millis_testing: 0.543, usercpu_time_millis_training: 2.647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8248, f_measure: 0.9063, kb_relative_information_score: -1456.1458, 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: 0.9334, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2327, root_relative_squared_error: 0.9569, scimark_benchmark: 1818.5819, usercpu_time_millis: 2.186, usercpu_time_millis_testing: 0.151, usercpu_time_millis_training: 2.035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8639, f_measure: 0.9063, kb_relative_information_score: -1291.1438, mean_absolute_error: 0.1058, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.8922, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.225, root_relative_squared_error: 0.9252, scimark_benchmark: 1832.1735, usercpu_time_millis: 24.76, usercpu_time_millis_testing: 0.468, usercpu_time_millis_training: 24.292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8037, f_measure: 0.9063, kb_relative_information_score: -1274.4916, 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: 0.9299, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2328, root_relative_squared_error: 0.957, scimark_benchmark: 1835.324, usercpu_time_millis: 4.854, usercpu_time_millis_testing: 0.186, usercpu_time_millis_training: 4.668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8725, f_measure: 0.9063, kb_relative_information_score: -1010.6561, mean_absolute_error: 0.1084, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9136, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2275, root_relative_squared_error: 0.9355, scimark_benchmark: 1845.7835, usercpu_time_millis: 4.063, usercpu_time_millis_testing: 0.531, usercpu_time_millis_training: 3.532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.9063, kb_relative_information_score: 2.1619, 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: 1836.2249, usercpu_time_millis: 1.123, usercpu_time_millis_testing: 0.14, usercpu_time_millis_training: 0.983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8915, f_measure: 0.9099, kappa: 0.0448, kb_relative_information_score: -975.0774, mean_absolute_error: 0.0986, 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: 0.8309, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2148, root_relative_squared_error: 0.8833, scimark_benchmark: 1833.1413, usercpu_time_millis: 117.413, usercpu_time_millis_testing: 1.248, usercpu_time_millis_training: 116.165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8996, f_measure: 0.923, kappa: 0.2043, kb_relative_information_score: -872.121, mean_absolute_error: 0.0968, 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: 0.8163, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2102, root_relative_squared_error: 0.8641, scimark_benchmark: 1842.1882, usercpu_time_millis: 60.428, usercpu_time_millis_testing: 1.195, usercpu_time_millis_training: 59.233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9082, f_measure: 0.9262, kappa: 0.2497, kb_relative_information_score: -655.3761, mean_absolute_error: 0.0922, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9335, predictive_accuracy: 0.9436, prior_entropy: 0.3411, recall: 0.9436, relative_absolute_error: 0.7774, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2077, root_relative_squared_error: 0.8541, scimark_benchmark: 1836.6789, usercpu_time_millis: 53.469, usercpu_time_millis_testing: 1.537, usercpu_time_millis_training: 51.932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9, f_measure: 0.9208, kappa: 0.1773, kb_relative_information_score: -892.5103, mean_absolute_error: 0.0978, 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: 0.8246, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2108, root_relative_squared_error: 0.8669, scimark_benchmark: 1836.1034, usercpu_time_millis: 44.262, usercpu_time_millis_testing: 1.054, usercpu_time_millis_training: 43.208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8937, f_measure: 0.92, kappa: 0.1822, kb_relative_information_score: -787.5532, mean_absolute_error: 0.0936, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9228, predictive_accuracy: 0.9396, prior_entropy: 0.3411, recall: 0.9396, relative_absolute_error: 0.7889, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2132, root_relative_squared_error: 0.8764, scimark_benchmark: 1811.4374, usercpu_time_millis: 44.232, usercpu_time_millis_testing: 0.675, usercpu_time_millis_training: 43.557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.911, f_measure: 0.9262, kappa: 0.2497, kb_relative_information_score: -684.9935, mean_absolute_error: 0.0929, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9335, predictive_accuracy: 0.9436, prior_entropy: 0.3411, recall: 0.9436, relative_absolute_error: 0.7832, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2063, root_relative_squared_error: 0.8482, scimark_benchmark: 1832.536, usercpu_time_millis: 37.401, usercpu_time_millis_testing: 1.102, usercpu_time_millis_training: 36.299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8981, f_measure: 0.9292, kappa: 0.3051, kb_relative_information_score: -718.8929, mean_absolute_error: 0.0908, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9284, predictive_accuracy: 0.942, prior_entropy: 0.3411, recall: 0.942, relative_absolute_error: 0.7655, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2097, root_relative_squared_error: 0.8623, scimark_benchmark: 1801.9118, usercpu_time_millis: 36.153, usercpu_time_millis_testing: 0.332, usercpu_time_millis_training: 35.821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9137, f_measure: 0.9203, kappa: 0.1742, kb_relative_information_score: -642.4468, mean_absolute_error: 0.0932, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9323, predictive_accuracy: 0.9416, prior_entropy: 0.3411, recall: 0.9416, relative_absolute_error: 0.7859, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2087, root_relative_squared_error: 0.8579, scimark_benchmark: 1827.2523, usercpu_time_millis: 29.094, usercpu_time_millis_testing: 1.721, usercpu_time_millis_training: 27.373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.883, f_measure: 0.9071, kappa: 0.0108, kb_relative_information_score: -1089.31, 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: 0.8518, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2187, root_relative_squared_error: 0.8992, scimark_benchmark: 1836.2249, usercpu_time_millis: 29.671, usercpu_time_millis_testing: 0.291, usercpu_time_millis_training: 29.38,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8589, f_measure: 0.9063, kb_relative_information_score: -1327.629, mean_absolute_error: 0.1064, 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: 0.8973, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2263, root_relative_squared_error: 0.9303, scimark_benchmark: 1804.8886, usercpu_time_millis: 20.85, usercpu_time_millis_testing: 0.296, usercpu_time_millis_training: 20.554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8803, f_measure: 0.9063, kb_relative_information_score: -1121.1807, mean_absolute_error: 0.1035, 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: 0.8725, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2207, root_relative_squared_error: 0.9075, scimark_benchmark: 1830.1889, usercpu_time_millis: 18.848, usercpu_time_millis_testing: 0.677, usercpu_time_millis_training: 18.171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8913, f_measure: 0.9071, kappa: 0.0108, kb_relative_information_score: -992.0756, mean_absolute_error: 0.1019, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9096, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.859, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2183, root_relative_squared_error: 0.8977, scimark_benchmark: 1840.643, usercpu_time_millis: 15.302, usercpu_time_millis_testing: 1.127, usercpu_time_millis_training: 14.175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8791, f_measure: 0.9063, kb_relative_information_score: -1131.5442, mean_absolute_error: 0.1043, 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: 0.8795, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.223, root_relative_squared_error: 0.9168, scimark_benchmark: 1804.6402, usercpu_time_millis: 15.852, usercpu_time_millis_testing: 0.592, usercpu_time_millis_training: 15.26,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9011, f_measure: 0.9078, kappa: 0.0214, kb_relative_information_score: -900.199, mean_absolute_error: 0.0978, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9099, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.8246, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2153, root_relative_squared_error: 0.8852, scimark_benchmark: 1804.8886, usercpu_time_millis: 9.952, usercpu_time_millis_testing: 0.35, usercpu_time_millis_training: 9.602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8916, f_measure: 0.9197, kappa: 0.1661, kb_relative_information_score: -876.429, mean_absolute_error: 0.0963, 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: 0.8122, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2124, root_relative_squared_error: 0.8733, scimark_benchmark: 1832.9367, usercpu_time_millis: 4.216, usercpu_time_millis_testing: 0.091, usercpu_time_millis_training: 4.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8757, f_measure: 0.9063, kb_relative_information_score: -1102.5976, 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: 0.8945, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2251, root_relative_squared_error: 0.9253, scimark_benchmark: 1836.7415, usercpu_time_millis: 4.887, usercpu_time_millis_testing: 0.549, usercpu_time_millis_training: 4.338,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.833, f_measure: 0.9063, kb_relative_information_score: -1101.266, mean_absolute_error: 0.109, 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: 0.9194, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2295, root_relative_squared_error: 0.9436, scimark_benchmark: 1804.94, usercpu_time_millis: 6.328, usercpu_time_millis_testing: 0.69, usercpu_time_millis_training: 5.638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8977, f_measure: 0.9071, kappa: 0.0108, kb_relative_information_score: -957.2927, 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: 0.218, root_relative_squared_error: 0.8965, scimark_benchmark: 1819.0902, usercpu_time_millis: 4.323, usercpu_time_millis_testing: 0.269, usercpu_time_millis_training: 4.054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8966, f_measure: 0.914, kappa: 0.0967, kb_relative_information_score: -912.4988, mean_absolute_error: 0.1002, 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: 0.8449, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2135, root_relative_squared_error: 0.878, scimark_benchmark: 1810.5599, usercpu_time_millis: 4.037, usercpu_time_millis_testing: 0.261, usercpu_time_millis_training: 3.776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8775, f_measure: 0.9115, kappa: 0.0658, kb_relative_information_score: -1061.5132, mean_absolute_error: 0.1004, 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: 0.8462, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2175, root_relative_squared_error: 0.8942, scimark_benchmark: 1808.7672, usercpu_time_millis: 1.869, usercpu_time_millis_testing: 0.078, usercpu_time_millis_training: 1.791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.9063, kb_relative_information_score: -34.6586, 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: 0.9982, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1821.1586, usercpu_time_millis: 0.475, usercpu_time_millis_testing: 0.06, usercpu_time_millis_training: 0.415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9025, f_measure: 0.9256, kappa: 0.2461, kb_relative_information_score: -811.1918, mean_absolute_error: 0.0936, 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: 0.7894, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2085, root_relative_squared_error: 0.8574, scimark_benchmark: 1839.2203, usercpu_time_millis: 166.628, usercpu_time_millis_testing: 1.393, usercpu_time_millis_training: 165.235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8973, f_measure: 0.9267, kappa: 0.2643, kb_relative_information_score: -746.0847, mean_absolute_error: 0.0921, 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: 0.7766, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2105, root_relative_squared_error: 0.8653, scimark_benchmark: 1830.1486, usercpu_time_millis: 121.856, usercpu_time_millis_testing: 1.159, usercpu_time_millis_training: 120.697,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9077, f_measure: 0.9239, kappa: 0.2232, kb_relative_information_score: -742.7395, mean_absolute_error: 0.0935, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9309, predictive_accuracy: 0.9424, prior_entropy: 0.3411, recall: 0.9424, relative_absolute_error: 0.7886, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2073, root_relative_squared_error: 0.8525, scimark_benchmark: 1845.7835, usercpu_time_millis: 75.705, usercpu_time_millis_testing: 1.746, usercpu_time_millis_training: 73.959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9135, f_measure: 0.9285, kappa: 0.2869, kb_relative_information_score: -597.1441, mean_absolute_error: 0.0902, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9307, predictive_accuracy: 0.9432, prior_entropy: 0.3411, recall: 0.9432, relative_absolute_error: 0.7606, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2055, root_relative_squared_error: 0.8448, scimark_benchmark: 1838.1026, usercpu_time_millis: 57.196, usercpu_time_millis_testing: 1.604, usercpu_time_millis_training: 55.592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8878, f_measure: 0.9071, kappa: 0.0108, kb_relative_information_score: -1058.5929, mean_absolute_error: 0.1008, 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: 0.8497, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2181, root_relative_squared_error: 0.8966, scimark_benchmark: 1842.8383, usercpu_time_millis: 55.656, usercpu_time_millis_testing: 0.972, usercpu_time_millis_training: 54.684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9038, f_measure: 0.9258, kappa: 0.2589, kb_relative_information_score: -656.6504, mean_absolute_error: 0.091, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9265, predictive_accuracy: 0.9412, prior_entropy: 0.3411, recall: 0.9412, relative_absolute_error: 0.7674, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2083, root_relative_squared_error: 0.8565, scimark_benchmark: 1841.2703, usercpu_time_millis: 54.765, usercpu_time_millis_testing: 1.054, usercpu_time_millis_training: 53.711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8957, f_measure: 0.9213, kappa: 0.1945, kb_relative_information_score: -752.9575, mean_absolute_error: 0.0934, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9266, predictive_accuracy: 0.9408, prior_entropy: 0.3411, recall: 0.9408, relative_absolute_error: 0.7875, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.212, root_relative_squared_error: 0.8717, scimark_benchmark: 1845.7222, usercpu_time_millis: 53.575, usercpu_time_millis_testing: 0.678, usercpu_time_millis_training: 52.897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9026, f_measure: 0.9227, kappa: 0.2026, kb_relative_information_score: -788.5204, mean_absolute_error: 0.0953, 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: 0.8037, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2089, root_relative_squared_error: 0.859, scimark_benchmark: 1830.7073, usercpu_time_millis: 50.731, usercpu_time_millis_testing: 1.035, usercpu_time_millis_training: 49.696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8995, f_measure: 0.9242, kappa: 0.225, kb_relative_information_score: -799.601, mean_absolute_error: 0.0947, 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: 0.7984, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2098, root_relative_squared_error: 0.8626, scimark_benchmark: 1844.2935, usercpu_time_millis: 24.081, usercpu_time_millis_testing: 0.297, usercpu_time_millis_training: 23.784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.821, f_measure: 0.9063, kb_relative_information_score: -1546.8452, mean_absolute_error: 0.1101, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9279, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2323, root_relative_squared_error: 0.955, scimark_benchmark: 1847.9815, usercpu_time_millis: 14.177, usercpu_time_millis_testing: 0.73, usercpu_time_millis_training: 13.447,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8536, f_measure: 0.9082, kappa: 0.0232, kb_relative_information_score: -1263.1805, mean_absolute_error: 0.1067, 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: 0.8992, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2245, root_relative_squared_error: 0.9232, scimark_benchmark: 1845.3295, usercpu_time_millis: 9.481, usercpu_time_millis_testing: 0.467, usercpu_time_millis_training: 9.014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.832, f_measure: 0.9063, kb_relative_information_score: -1243.7609, 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: 0.9169, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2298, root_relative_squared_error: 0.9447, scimark_benchmark: 1834.6918, usercpu_time_millis: 2.472, usercpu_time_millis_testing: 0.176, usercpu_time_millis_training: 2.296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8893, f_measure: 0.909, kappa: 0.0336, kb_relative_information_score: -960.9472, 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: 0.8238, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2167, root_relative_squared_error: 0.8908, scimark_benchmark: 1842.7105, usercpu_time_millis: 4.353, usercpu_time_millis_testing: 0.09, usercpu_time_millis_training: 4.263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9087, f_measure: 0.9224, kappa: 0.1965, kb_relative_information_score: -762.968, mean_absolute_error: 0.0958, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9388, predictive_accuracy: 0.9432, prior_entropy: 0.3411, recall: 0.9432, relative_absolute_error: 0.808, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2092, root_relative_squared_error: 0.8601, scimark_benchmark: 1836.1651, usercpu_time_millis: 3.429, usercpu_time_millis_testing: 0.191, usercpu_time_millis_training: 3.238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8573, f_measure: 0.9308, kappa: 0.3469, kb_relative_information_score: -935.2235, mean_absolute_error: 0.0908, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9274, predictive_accuracy: 0.9396, prior_entropy: 0.3411, recall: 0.9396, relative_absolute_error: 0.7659, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2186, root_relative_squared_error: 0.8986, scimark_benchmark: 1838.622, usercpu_time_millis: 1.507, usercpu_time_millis_testing: 0.057, usercpu_time_millis_training: 1.45,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.9063, kb_relative_information_score: 4.5071, 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: 1847.3406, usercpu_time_millis: 1.383, usercpu_time_millis_testing: 0.249, usercpu_time_millis_training: 1.134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.894, f_measure: 0.909, kappa: 0.0336, kb_relative_information_score: -911.7909, 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: 0.8237, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2152, root_relative_squared_error: 0.8848, scimark_benchmark: 1839.2774, usercpu_time_millis: 3.326, usercpu_time_millis_testing: 0.096, usercpu_time_millis_training: 3.23,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8301, f_measure: 0.9063, kb_relative_information_score: -1275.5098, 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: 0.9203, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2302, root_relative_squared_error: 0.9465, scimark_benchmark: 1842.3188, usercpu_time_millis: 1.231, usercpu_time_millis_testing: 0.099, usercpu_time_millis_training: 1.132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8459, f_measure: 0.9136, kappa: 0.2348, kb_relative_information_score: -856.6833, mean_absolute_error: 0.0969, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9099, predictive_accuracy: 0.9179, prior_entropy: 0.3411, recall: 0.9179, relative_absolute_error: 0.8169, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2495, root_relative_squared_error: 1.026, scimark_benchmark: 1851.3287, usercpu_time_millis: 152.621, usercpu_time_millis_testing: 0.949, usercpu_time_millis_training: 151.672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8915, f_measure: 0.9247, kappa: 0.2441, kb_relative_information_score: -781.8847, mean_absolute_error: 0.0928, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9256, predictive_accuracy: 0.9408, prior_entropy: 0.3411, recall: 0.9408, relative_absolute_error: 0.7826, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2124, root_relative_squared_error: 0.8732, scimark_benchmark: 1840.7617, usercpu_time_millis: 153.033, usercpu_time_millis_testing: 1.148, usercpu_time_millis_training: 151.885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8923, f_measure: 0.9099, kappa: 0.0448, kb_relative_information_score: -995.1587, mean_absolute_error: 0.0992, 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: 0.8367, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2149, root_relative_squared_error: 0.8836, scimark_benchmark: 1840.7617, usercpu_time_millis: 58.196, usercpu_time_millis_testing: 0.773, usercpu_time_millis_training: 57.423,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8983, f_measure: 0.9197, kappa: 0.1661, kb_relative_information_score: -845.065, mean_absolute_error: 0.0967, 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: 0.8152, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2105, root_relative_squared_error: 0.8656, scimark_benchmark: 1842.8383, usercpu_time_millis: 49.272, usercpu_time_millis_testing: 0.957, usercpu_time_millis_training: 48.315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8991, f_measure: 0.9154, kappa: 0.1097, kb_relative_information_score: -871.0335, mean_absolute_error: 0.0971, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9386, predictive_accuracy: 0.9404, prior_entropy: 0.3411, recall: 0.9404, relative_absolute_error: 0.8188, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2124, root_relative_squared_error: 0.8733, scimark_benchmark: 1844.2382, usercpu_time_millis: 44.297, usercpu_time_millis_testing: 0.98, usercpu_time_millis_training: 43.317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.905, f_measure: 0.9301, kappa: 0.3108, kb_relative_information_score: -638.8241, mean_absolute_error: 0.0899, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9306, predictive_accuracy: 0.9432, prior_entropy: 0.3411, recall: 0.9432, relative_absolute_error: 0.7582, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2067, root_relative_squared_error: 0.8499, scimark_benchmark: 1843.2259, usercpu_time_millis: 34.31, usercpu_time_millis_testing: 1.071, usercpu_time_millis_training: 33.239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9168, f_measure: 0.9211, kappa: 0.1838, kb_relative_information_score: -586.3761, mean_absolute_error: 0.0928, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9333, predictive_accuracy: 0.942, prior_entropy: 0.3411, recall: 0.942, relative_absolute_error: 0.7825, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2071, root_relative_squared_error: 0.8515, scimark_benchmark: 1849.9051, usercpu_time_millis: 10.453, usercpu_time_millis_testing: 0.819, usercpu_time_millis_training: 9.634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9131, f_measure: 0.9149, kappa: 0.1071, kb_relative_information_score: -663.5873, mean_absolute_error: 0.0952, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9297, predictive_accuracy: 0.9396, prior_entropy: 0.3411, recall: 0.9396, relative_absolute_error: 0.8023, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2097, root_relative_squared_error: 0.8622, scimark_benchmark: 1849.8294, usercpu_time_millis: 10.175, usercpu_time_millis_testing: 0.771, usercpu_time_millis_training: 9.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7998, f_measure: 0.9063, kb_relative_information_score: -1470.1915, mean_absolute_error: 0.1105, 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: 0.9313, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2337, root_relative_squared_error: 0.961, scimark_benchmark: 1840.1236, usercpu_time_millis: 14.608, usercpu_time_millis_testing: 0.583, usercpu_time_millis_training: 14.025,

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