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: 0.9012, f_measure: 0.9118, kappa: 0.0669, kb_relative_information_score: -792.3945, mean_absolute_error: 0.099, 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: 0.8347, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2129, root_relative_squared_error: 0.8755, scimark_benchmark: 1251.704, usercpu_time_millis: 49.97, usercpu_time_millis_testing: 3.853, usercpu_time_millis_training: 46.117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9186, f_measure: 0.9248, kappa: 0.2284, kb_relative_information_score: -577.7837, mean_absolute_error: 0.0917, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9357, predictive_accuracy: 0.9436, prior_entropy: 0.3411, recall: 0.9436, relative_absolute_error: 0.7735, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2055, root_relative_squared_error: 0.845, scimark_benchmark: 1242.359, usercpu_time_millis: 102.655, usercpu_time_millis_testing: 6.283, usercpu_time_millis_training: 96.372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8869, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -1076.5242, mean_absolute_error: 0.1036, 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: 0.8737, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.222, root_relative_squared_error: 0.913, scimark_benchmark: 1254.9351, usercpu_time_millis: 42.469, usercpu_time_millis_testing: 2.511, usercpu_time_millis_training: 39.958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9037, f_measure: 0.9108, kappa: 0.0559, kb_relative_information_score: -778.3714, mean_absolute_error: 0.0976, 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: 0.8227, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2121, root_relative_squared_error: 0.872, scimark_benchmark: 1264.6371, usercpu_time_millis: 41.773, usercpu_time_millis_testing: 2.726, usercpu_time_millis_training: 39.047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8711, f_measure: 0.9063, kb_relative_information_score: -1121.7868, mean_absolute_error: 0.1075, 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: 0.9063, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.227, root_relative_squared_error: 0.9334, scimark_benchmark: 1269.9869, usercpu_time_millis: 18.577, usercpu_time_millis_testing: 1.337, usercpu_time_millis_training: 17.24,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8465, f_measure: 0.9063, kb_relative_information_score: -1183.2489, mean_absolute_error: 0.1089, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9177, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2285, root_relative_squared_error: 0.9397, scimark_benchmark: 1260.6483, usercpu_time_millis: 34.394, usercpu_time_millis_testing: 3.215, usercpu_time_millis_training: 31.179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8461, f_measure: 0.9063, kb_relative_information_score: -1110.477, 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: 0.9308, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2305, root_relative_squared_error: 0.9477, scimark_benchmark: 1249.7311, usercpu_time_millis: 9.938, usercpu_time_millis_testing: 0.963, usercpu_time_millis_training: 8.975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9076, f_measure: 0.909, kappa: 0.0336, kb_relative_information_score: -773.6819, mean_absolute_error: 0.0982, 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: 0.8276, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2132, root_relative_squared_error: 0.8766, scimark_benchmark: 1248.7866, usercpu_time_millis: 46.979, usercpu_time_millis_testing: 3.228, usercpu_time_millis_training: 43.751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8762, f_measure: 0.9063, kb_relative_information_score: -1077.8267, mean_absolute_error: 0.1055, 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: 0.8895, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2237, root_relative_squared_error: 0.9199, scimark_benchmark: 1257.5516, usercpu_time_millis: 38.429, usercpu_time_millis_testing: 3.061, usercpu_time_millis_training: 35.368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8859, f_measure: 0.9108, kappa: 0.0559, kb_relative_information_score: -868.5115, mean_absolute_error: 0.0983, 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: 0.8289, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2175, root_relative_squared_error: 0.8945, scimark_benchmark: 1262.8367, usercpu_time_millis: 4.073, usercpu_time_millis_testing: 0.329, usercpu_time_millis_training: 3.744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9163, f_measure: 0.9275, kappa: 0.262, kb_relative_information_score: -596.4449, mean_absolute_error: 0.092, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9372, predictive_accuracy: 0.9448, prior_entropy: 0.3411, recall: 0.9448, relative_absolute_error: 0.7754, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2057, root_relative_squared_error: 0.8459, scimark_benchmark: 1227.4019, usercpu_time_millis: 120.802, usercpu_time_millis_testing: 6, usercpu_time_millis_training: 114.802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8805, f_measure: 0.9063, kb_relative_information_score: -1098.8006, mean_absolute_error: 0.1046, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.8821, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2231, root_relative_squared_error: 0.9172, scimark_benchmark: 1264.6435, usercpu_time_millis: 31.903, usercpu_time_millis_testing: 1.938, usercpu_time_millis_training: 29.965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8962, f_measure: 0.9175, kappa: 0.1378, kb_relative_information_score: -883.7954, mean_absolute_error: 0.097, 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: 0.8175, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2127, root_relative_squared_error: 0.8746, scimark_benchmark: 1270.8525, usercpu_time_millis: 3.07, usercpu_time_millis_testing: 0.257, usercpu_time_millis_training: 2.813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9055, f_measure: 0.9073, kappa: 0.0116, kb_relative_information_score: -755.2066, mean_absolute_error: 0.0998, 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: 0.8418, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2152, root_relative_squared_error: 0.885, scimark_benchmark: 1238.4222, usercpu_time_millis: 28.067, usercpu_time_millis_testing: 2.694, usercpu_time_millis_training: 25.373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8915, f_measure: 0.9071, kappa: 0.0108, kb_relative_information_score: -983.3857, mean_absolute_error: 0.1016, 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: 0.8562, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2184, root_relative_squared_error: 0.8981, scimark_benchmark: 1261.1654, usercpu_time_millis: 44.343, usercpu_time_millis_testing: 2.645, usercpu_time_millis_training: 41.698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8286, f_measure: 0.9063, kb_relative_information_score: -1205.6182, mean_absolute_error: 0.1098, 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: 0.9254, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2308, root_relative_squared_error: 0.9488, scimark_benchmark: 1263.3775, usercpu_time_millis: 22.207, usercpu_time_millis_testing: 1.808, usercpu_time_millis_training: 20.399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8776, f_measure: 0.9063, kb_relative_information_score: -1093.6212, mean_absolute_error: 0.1065, 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: 0.8975, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2256, root_relative_squared_error: 0.9274, scimark_benchmark: 1258.942, usercpu_time_millis: 32.938, usercpu_time_millis_testing: 2.324, usercpu_time_millis_training: 30.614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9118, f_measure: 0.9265, kappa: 0.2515, kb_relative_information_score: -581.4564, mean_absolute_error: 0.0916, 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: 0.7719, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2062, root_relative_squared_error: 0.8476, scimark_benchmark: 1258.9141, usercpu_time_millis: 12.631, usercpu_time_millis_testing: 0.975, usercpu_time_millis_training: 11.656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8783, f_measure: 0.9063, kb_relative_information_score: -1123.5137, mean_absolute_error: 0.1051, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.8861, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2239, root_relative_squared_error: 0.9206, scimark_benchmark: 1270.7519, usercpu_time_millis: 61.987, usercpu_time_millis_testing: 3.881, usercpu_time_millis_training: 58.106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9075, f_measure: 0.909, kappa: 0.0336, kb_relative_information_score: -758.3187, mean_absolute_error: 0.0961, 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: 0.8099, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2122, root_relative_squared_error: 0.8723, scimark_benchmark: 1267.4215, usercpu_time_millis: 22.204, usercpu_time_millis_testing: 1.187, usercpu_time_millis_training: 21.017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9029, f_measure: 0.909, kappa: 0.0336, kb_relative_information_score: -841.8105, mean_absolute_error: 0.099, 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: 0.8345, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2142, root_relative_squared_error: 0.8806, scimark_benchmark: 1259.1405, usercpu_time_millis: 53.607, usercpu_time_millis_testing: 3.688, usercpu_time_millis_training: 49.919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.912, f_measure: 0.9108, kappa: 0.0559, kb_relative_information_score: -669.7567, mean_absolute_error: 0.0967, 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: 0.8154, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2112, root_relative_squared_error: 0.8685, scimark_benchmark: 1241.3023, usercpu_time_millis: 61.868, usercpu_time_millis_testing: 5.07, usercpu_time_millis_training: 56.798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8303, f_measure: 0.9063, kb_relative_information_score: -995.1539, mean_absolute_error: 0.112, 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: 0.9443, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2332, root_relative_squared_error: 0.9589, scimark_benchmark: 1260.2522, usercpu_time_millis: 5.556, usercpu_time_millis_testing: 0.468, usercpu_time_millis_training: 5.088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.908, f_measure: 0.9099, kappa: 0.0448, kb_relative_information_score: -729.9305, mean_absolute_error: 0.0981, 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: 0.827, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2123, root_relative_squared_error: 0.873, scimark_benchmark: 1253.7209, usercpu_time_millis: 57.508, usercpu_time_millis_testing: 5.665, usercpu_time_millis_training: 51.843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.837, f_measure: 0.9063, kb_relative_information_score: -1141.4817, mean_absolute_error: 0.1106, 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: 0.9325, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2313, root_relative_squared_error: 0.9511, scimark_benchmark: 1241.3554, usercpu_time_millis: 28.964, usercpu_time_millis_testing: 2.889, usercpu_time_millis_training: 26.075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9041, f_measure: 0.909, kappa: 0.0336, kb_relative_information_score: -799.8584, mean_absolute_error: 0.0986, 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: 0.8313, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2134, root_relative_squared_error: 0.8773, scimark_benchmark: 1252.853, usercpu_time_millis: 20.484, usercpu_time_millis_testing: 1.495, usercpu_time_millis_training: 18.989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8849, f_measure: 0.9063, kb_relative_information_score: -1074.6354, 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: 0.2224, root_relative_squared_error: 0.9145, scimark_benchmark: 1240.3968, usercpu_time_millis: 38.432, usercpu_time_millis_testing: 2.429, usercpu_time_millis_training: 36.003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8686, f_measure: 0.9063, kb_relative_information_score: -1182.6555, mean_absolute_error: 0.1066, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.8991, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2261, root_relative_squared_error: 0.9296, scimark_benchmark: 1259.8959, usercpu_time_millis: 27.409, usercpu_time_millis_testing: 1.786, usercpu_time_millis_training: 25.623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9078, f_measure: 0.9118, kappa: 0.0669, kb_relative_information_score: -739.8905, mean_absolute_error: 0.0951, 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: 0.8021, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2113, root_relative_squared_error: 0.8689, scimark_benchmark: 1245.6686, usercpu_time_millis: 141.512, usercpu_time_millis_testing: 5.77, usercpu_time_millis_training: 135.742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8826, f_measure: 0.9073, kappa: 0.0116, kb_relative_information_score: -1001.0042, mean_absolute_error: 0.1034, 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: 0.8721, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2196, root_relative_squared_error: 0.903, scimark_benchmark: 1258.1583, usercpu_time_millis: 25.211, usercpu_time_millis_testing: 1.951, usercpu_time_millis_training: 23.26,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9029, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -841.2352, mean_absolute_error: 0.0995, 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: 0.8392, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2149, root_relative_squared_error: 0.8837, scimark_benchmark: 1258.8641, usercpu_time_millis: 58.457, usercpu_time_millis_testing: 4.162, usercpu_time_millis_training: 54.295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8885, f_measure: 0.9221, kappa: 0.2077, kb_relative_information_score: -657.4685, mean_absolute_error: 0.0895, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9248, predictive_accuracy: 0.9404, prior_entropy: 0.3411, recall: 0.9404, relative_absolute_error: 0.7548, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2096, root_relative_squared_error: 0.8617, scimark_benchmark: 1269.3739, usercpu_time_millis: 3.151, usercpu_time_millis_testing: 0.248, usercpu_time_millis_training: 2.903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.854, f_measure: 0.9063, kb_relative_information_score: -1255.1886, mean_absolute_error: 0.1086, 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: 0.9152, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2291, root_relative_squared_error: 0.9419, scimark_benchmark: 1256.4985, usercpu_time_millis: 12.033, usercpu_time_millis_testing: 0.845, usercpu_time_millis_training: 11.188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9171, f_measure: 0.9245, kappa: 0.2228, kb_relative_information_score: -640.1069, 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: 0.7925, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2073, root_relative_squared_error: 0.8521, scimark_benchmark: 1254.7091, usercpu_time_millis: 32.24, usercpu_time_millis_testing: 2.507, usercpu_time_millis_training: 29.733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8928, f_measure: 0.9071, kappa: 0.0108, kb_relative_information_score: -949.3542, mean_absolute_error: 0.1016, 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: 0.8565, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2178, root_relative_squared_error: 0.8955, scimark_benchmark: 1273.3452, usercpu_time_millis: 47.142, usercpu_time_millis_testing: 3.617, usercpu_time_millis_training: 43.525,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8962, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -927.5027, mean_absolute_error: 0.1007, 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: 0.8491, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2168, root_relative_squared_error: 0.8914, scimark_benchmark: 1237.7856, usercpu_time_millis: 62.187, usercpu_time_millis_testing: 4.07, usercpu_time_millis_training: 58.117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9146, f_measure: 0.9235, kappa: 0.2119, kb_relative_information_score: -641.8805, mean_absolute_error: 0.0941, 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: 0.7932, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2072, root_relative_squared_error: 0.8519, scimark_benchmark: 1240.8017, usercpu_time_millis: 59.904, usercpu_time_millis_testing: 3.941, usercpu_time_millis_training: 55.963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9077, f_measure: 0.9118, kappa: 0.0669, kb_relative_information_score: -755.8365, mean_absolute_error: 0.0962, 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: 0.8111, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.211, root_relative_squared_error: 0.8676, scimark_benchmark: 1229.1444, usercpu_time_millis: 54.033, usercpu_time_millis_testing: 2.382, usercpu_time_millis_training: 51.651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9152, f_measure: 0.9278, kappa: 0.2639, kb_relative_information_score: -628.0678, mean_absolute_error: 0.0923, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9387, predictive_accuracy: 0.9451, prior_entropy: 0.3411, recall: 0.9451, relative_absolute_error: 0.778, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2054, root_relative_squared_error: 0.8446, scimark_benchmark: 1254.4538, usercpu_time_millis: 129.692, usercpu_time_millis_testing: 5.535, usercpu_time_millis_training: 124.157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9171, f_measure: 0.9202, kappa: 0.1692, kb_relative_information_score: -637.0614, mean_absolute_error: 0.0941, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9394, predictive_accuracy: 0.9424, prior_entropy: 0.3411, recall: 0.9424, relative_absolute_error: 0.7932, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2077, root_relative_squared_error: 0.8538, scimark_benchmark: 1237.0218, usercpu_time_millis: 121.286, usercpu_time_millis_testing: 8.158, usercpu_time_millis_training: 113.128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8377, f_measure: 0.9063, kb_relative_information_score: -1169.1245, 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: 0.2321, root_relative_squared_error: 0.9542, scimark_benchmark: 1246.8124, usercpu_time_millis: 31.871, usercpu_time_millis_testing: 3.275, usercpu_time_millis_training: 28.596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.911, f_measure: 0.9205, kappa: 0.1758, kb_relative_information_score: -655.9606, mean_absolute_error: 0.0946, 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: 0.7972, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2085, root_relative_squared_error: 0.8571, scimark_benchmark: 1257.178, usercpu_time_millis: 17.649, usercpu_time_millis_testing: 1.004, usercpu_time_millis_training: 16.645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8804, f_measure: 0.9063, kb_relative_information_score: -1115.0405, mean_absolute_error: 0.1048, 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: 0.8836, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2232, root_relative_squared_error: 0.9176, scimark_benchmark: 1251.121, usercpu_time_millis: 30.1, usercpu_time_millis_testing: 1.517, usercpu_time_millis_training: 28.583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8964, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -947.4891, mean_absolute_error: 0.1024, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9365, prior_entropy: 0.3411, recall: 0.9365, relative_absolute_error: 0.8634, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2197, root_relative_squared_error: 0.9035, scimark_benchmark: 1223.0643, usercpu_time_millis: 30.466, usercpu_time_millis_testing: 2.939, usercpu_time_millis_training: 27.527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9053, f_measure: 0.909, kappa: 0.0336, kb_relative_information_score: -883.2643, mean_absolute_error: 0.0987, 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: 0.8318, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2153, root_relative_squared_error: 0.8852, scimark_benchmark: 1249.8826, usercpu_time_millis: 17.28, usercpu_time_millis_testing: 1.344, usercpu_time_millis_training: 15.936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9164, f_measure: 0.9203, kappa: 0.1791, kb_relative_information_score: -629.4276, mean_absolute_error: 0.0927, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9275, predictive_accuracy: 0.9408, prior_entropy: 0.3411, recall: 0.9408, 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: 1249.3858, usercpu_time_millis: 12.508, usercpu_time_millis_testing: 1.119, usercpu_time_millis_training: 11.389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9152, f_measure: 0.9255, kappa: 0.2374, kb_relative_information_score: -653.3157, mean_absolute_error: 0.0932, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9365, predictive_accuracy: 0.944, prior_entropy: 0.3411, recall: 0.944, relative_absolute_error: 0.7862, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2063, root_relative_squared_error: 0.8483, scimark_benchmark: 1230.441, usercpu_time_millis: 68.694, usercpu_time_millis_testing: 3.288, usercpu_time_millis_training: 65.406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9147, f_measure: 0.9238, kappa: 0.2136, kb_relative_information_score: -644.7435, mean_absolute_error: 0.0938, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.938, predictive_accuracy: 0.9436, prior_entropy: 0.3411, recall: 0.9436, relative_absolute_error: 0.791, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2071, root_relative_squared_error: 0.8516, scimark_benchmark: 1248.7502, usercpu_time_millis: 66.37, usercpu_time_millis_testing: 4.157, usercpu_time_millis_training: 62.213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9103, f_measure: 0.9203, kappa: 0.1742, kb_relative_information_score: -688.839, mean_absolute_error: 0.0934, 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: 0.7873, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2096, root_relative_squared_error: 0.8618, scimark_benchmark: 1250.9271, usercpu_time_millis: 57.202, usercpu_time_millis_testing: 2.812, usercpu_time_millis_training: 54.39,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8879, f_measure: 0.9063, kb_relative_information_score: -977.7059, mean_absolute_error: 0.1054, 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: 0.8882, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2233, root_relative_squared_error: 0.9181, scimark_benchmark: 1252.7466, usercpu_time_millis: 54.338, usercpu_time_millis_testing: 4.507, usercpu_time_millis_training: 49.831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9073, f_measure: 0.9127, kappa: 0.0778, kb_relative_information_score: -764.9209, mean_absolute_error: 0.0968, 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: 0.8161, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2114, root_relative_squared_error: 0.8694, scimark_benchmark: 1242.7896, usercpu_time_millis: 107.682, usercpu_time_millis_testing: 5.469, usercpu_time_millis_training: 102.213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8911, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -1068.6478, mean_absolute_error: 0.103, 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: 0.8683, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2212, root_relative_squared_error: 0.9096, scimark_benchmark: 1236.3585, usercpu_time_millis: 42.654, usercpu_time_millis_testing: 2.716, usercpu_time_millis_training: 39.938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8543, f_measure: 0.9063, kb_relative_information_score: -1184.7864, mean_absolute_error: 0.1079, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9098, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2276, root_relative_squared_error: 0.9359, scimark_benchmark: 1243.4689, usercpu_time_millis: 34.733, usercpu_time_millis_testing: 2.74, usercpu_time_millis_training: 31.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9006, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -852.9802, mean_absolute_error: 0.0986, 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: 0.8316, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2147, root_relative_squared_error: 0.8829, scimark_benchmark: 1248.9406, usercpu_time_millis: 94.88, usercpu_time_millis_testing: 5.436, usercpu_time_millis_training: 89.444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8814, f_measure: 0.9063, kb_relative_information_score: -1116.6689, 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: 0.8904, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2246, root_relative_squared_error: 0.9236, scimark_benchmark: 1238.59, usercpu_time_millis: 32.887, usercpu_time_millis_testing: 2.505, usercpu_time_millis_training: 30.382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9123, f_measure: 0.9222, kappa: 0.1949, kb_relative_information_score: -664.465, mean_absolute_error: 0.0944, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9364, predictive_accuracy: 0.9428, prior_entropy: 0.3411, recall: 0.9428, relative_absolute_error: 0.7955, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2077, root_relative_squared_error: 0.8538, scimark_benchmark: 1252.6682, usercpu_time_millis: 126.483, usercpu_time_millis_testing: 7.354, usercpu_time_millis_training: 119.129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9169, f_measure: 0.9286, kappa: 0.28, kb_relative_information_score: -568.8858, mean_absolute_error: 0.0904, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9342, predictive_accuracy: 0.9444, prior_entropy: 0.3411, recall: 0.9444, relative_absolute_error: 0.7625, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2049, root_relative_squared_error: 0.8424, scimark_benchmark: 1247.8706, usercpu_time_millis: 153.271, usercpu_time_millis_testing: 7.814, usercpu_time_millis_training: 145.457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8361, f_measure: 0.9063, kb_relative_information_score: -1183.7331, mean_absolute_error: 0.1102, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.929, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2309, root_relative_squared_error: 0.9492, scimark_benchmark: 1252.9661, usercpu_time_millis: 12.285, usercpu_time_millis_testing: 1.195, usercpu_time_millis_training: 11.09,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.9063, kb_relative_information_score: -39.3892, 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: 1251.4268, usercpu_time_millis: 4.53, usercpu_time_millis_testing: 0.542, usercpu_time_millis_training: 3.988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8273, f_measure: 0.9063, kb_relative_information_score: -1330.8045, 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: 0.9278, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2315, root_relative_squared_error: 0.9519, scimark_benchmark: 1222.621, usercpu_time_millis: 52.379, usercpu_time_millis_testing: 4.25, usercpu_time_millis_training: 48.129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9131, f_measure: 0.926, kappa: 0.2445, kb_relative_information_score: -634.9143, mean_absolute_error: 0.0927, 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: 0.7814, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2066, root_relative_squared_error: 0.8493, scimark_benchmark: 1246.0357, usercpu_time_millis: 47.588, usercpu_time_millis_testing: 2.386, usercpu_time_millis_training: 45.202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9112, f_measure: 0.9251, kappa: 0.2264, kb_relative_information_score: -682.4949, mean_absolute_error: 0.0941, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9432, predictive_accuracy: 0.9448, prior_entropy: 0.3411, recall: 0.9448, relative_absolute_error: 0.7938, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2079, root_relative_squared_error: 0.8546, scimark_benchmark: 1241.9054, usercpu_time_millis: 31.041, usercpu_time_millis_testing: 1.421, usercpu_time_millis_training: 29.62,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9009, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -888.1079, mean_absolute_error: 0.0988, 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: 0.8333, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.215, root_relative_squared_error: 0.8841, scimark_benchmark: 1238.169, usercpu_time_millis: 74.222, usercpu_time_millis_testing: 2.339, usercpu_time_millis_training: 71.883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.893, f_measure: 0.9073, kappa: 0.0116, kb_relative_information_score: -910.8224, mean_absolute_error: 0.1025, 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: 0.8639, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2187, root_relative_squared_error: 0.8992, scimark_benchmark: 1241.7482, usercpu_time_millis: 25.148, usercpu_time_millis_testing: 2.5, usercpu_time_millis_training: 22.648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9162, f_measure: 0.9255, kappa: 0.2374, kb_relative_information_score: -600.637, mean_absolute_error: 0.0924, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9365, predictive_accuracy: 0.944, prior_entropy: 0.3411, recall: 0.944, relative_absolute_error: 0.779, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2062, root_relative_squared_error: 0.8478, scimark_benchmark: 1240.1398, usercpu_time_millis: 99.757, usercpu_time_millis_testing: 5.684, usercpu_time_millis_training: 94.073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9088, f_measure: 0.9172, kappa: 0.1364, kb_relative_information_score: -697.7396, mean_absolute_error: 0.094, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9304, predictive_accuracy: 0.9404, prior_entropy: 0.3411, recall: 0.9404, relative_absolute_error: 0.7929, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2102, root_relative_squared_error: 0.8643, scimark_benchmark: 1243.791, usercpu_time_millis: 72.985, usercpu_time_millis_testing: 4.061, usercpu_time_millis_training: 68.924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9036, f_measure: 0.909, kappa: 0.0336, kb_relative_information_score: -817.2572, 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: 0.8251, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2134, root_relative_squared_error: 0.8776, scimark_benchmark: 1236.6811, usercpu_time_millis: 21.912, usercpu_time_millis_testing: 1.167, usercpu_time_millis_training: 20.745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8933, f_measure: 0.9063, kb_relative_information_score: -919.8032, 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: 0.8723, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2207, root_relative_squared_error: 0.9073, scimark_benchmark: 1238.0761, usercpu_time_millis: 18.521, usercpu_time_millis_testing: 1.702, usercpu_time_millis_training: 16.819,

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