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: 0.9157, f_measure: 0.9205, kappa: 0.1758, kb_relative_information_score: -614.5716, mean_absolute_error: 0.0936, 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: 0.7892, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2078, root_relative_squared_error: 0.8544, scimark_benchmark: 1208.2273, usercpu_time_millis: 32.056, usercpu_time_millis_testing: 2.442, usercpu_time_millis_training: 29.614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.834, f_measure: 0.9063, kb_relative_information_score: -1167.836, 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: 0.9293, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.231, root_relative_squared_error: 0.9498, scimark_benchmark: 1239.0675, usercpu_time_millis: 30.804, usercpu_time_millis_testing: 3.101, usercpu_time_millis_training: 27.703,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9015, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -802.9314, 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: 0.8391, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2143, root_relative_squared_error: 0.8811, scimark_benchmark: 1213.5401, usercpu_time_millis: 29.645, usercpu_time_millis_testing: 2.578, usercpu_time_millis_training: 27.067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9128, f_measure: 0.9202, kappa: 0.1692, kb_relative_information_score: -667.5328, mean_absolute_error: 0.0948, 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: 0.7993, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2081, root_relative_squared_error: 0.8557, scimark_benchmark: 1218.0039, usercpu_time_millis: 23.811, usercpu_time_millis_testing: 1.487, usercpu_time_millis_training: 22.324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9138, f_measure: 0.9277, kappa: 0.2669, kb_relative_information_score: -576.9141, mean_absolute_error: 0.0907, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9351, predictive_accuracy: 0.9444, prior_entropy: 0.3411, recall: 0.9444, relative_absolute_error: 0.765, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2063, root_relative_squared_error: 0.8481, scimark_benchmark: 1265.1719, usercpu_time_millis: 66.794, usercpu_time_millis_testing: 3.153, usercpu_time_millis_training: 63.641,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.915, f_measure: 0.9253, kappa: 0.232, kb_relative_information_score: -625.6733, mean_absolute_error: 0.0932, 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: 0.7854, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2062, root_relative_squared_error: 0.8479, scimark_benchmark: 1247.5744, usercpu_time_millis: 94.06, usercpu_time_millis_testing: 4.886, usercpu_time_millis_training: 89.174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9122, f_measure: 0.9245, kappa: 0.2228, kb_relative_information_score: -631.5367, mean_absolute_error: 0.0933, 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: 0.7868, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2082, root_relative_squared_error: 0.8558, scimark_benchmark: 1251.4682, usercpu_time_millis: 93.931, usercpu_time_millis_testing: 5.172, usercpu_time_millis_training: 88.759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9106, f_measure: 0.9151, kappa: 0.1084, kb_relative_information_score: -724.7131, mean_absolute_error: 0.0962, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9338, predictive_accuracy: 0.94, prior_entropy: 0.3411, recall: 0.94, relative_absolute_error: 0.8115, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2102, root_relative_squared_error: 0.8644, scimark_benchmark: 1256.4657, usercpu_time_millis: 111.282, usercpu_time_millis_testing: 7.094, usercpu_time_millis_training: 104.188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9134, f_measure: 0.9253, kappa: 0.232, kb_relative_information_score: -665.3556, mean_absolute_error: 0.0941, 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: 0.7937, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2076, root_relative_squared_error: 0.8534, scimark_benchmark: 1254.3079, usercpu_time_millis: 111.499, usercpu_time_millis_testing: 5.91, usercpu_time_millis_training: 105.589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9182, f_measure: 0.9259, kappa: 0.2479, kb_relative_information_score: -570.8699, mean_absolute_error: 0.091, 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: 0.7672, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.205, root_relative_squared_error: 0.8431, scimark_benchmark: 1238.3577, usercpu_time_millis: 104.16, usercpu_time_millis_testing: 5.386, usercpu_time_millis_training: 98.774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9125, f_measure: 0.9189, kappa: 0.1563, kb_relative_information_score: -657.0795, mean_absolute_error: 0.0952, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9327, predictive_accuracy: 0.9412, prior_entropy: 0.3411, recall: 0.9412, relative_absolute_error: 0.8027, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.209, root_relative_squared_error: 0.8591, scimark_benchmark: 1262.4229, usercpu_time_millis: 87.722, usercpu_time_millis_testing: 6.814, usercpu_time_millis_training: 80.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.915, f_measure: 0.9175, kappa: 0.1435, kb_relative_information_score: -660.7968, mean_absolute_error: 0.0942, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9267, predictive_accuracy: 0.94, prior_entropy: 0.3411, recall: 0.94, relative_absolute_error: 0.7942, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2077, root_relative_squared_error: 0.8541, scimark_benchmark: 1268.526, usercpu_time_millis: 22.822, usercpu_time_millis_testing: 1.678, usercpu_time_millis_training: 21.144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8482, f_measure: 0.9063, kb_relative_information_score: -1226.451, mean_absolute_error: 0.1087, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9161, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2289, root_relative_squared_error: 0.941, scimark_benchmark: 1254.7334, usercpu_time_millis: 18.002, usercpu_time_millis_testing: 1.465, usercpu_time_millis_training: 16.537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8299, f_measure: 0.9063, kb_relative_information_score: -1207.7084, 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: 0.9321, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2314, root_relative_squared_error: 0.9514, scimark_benchmark: 1262.4692, usercpu_time_millis: 7.209, usercpu_time_millis_testing: 0.657, usercpu_time_millis_training: 6.552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9083, f_measure: 0.9099, kappa: 0.0448, kb_relative_information_score: -738.4557, mean_absolute_error: 0.0987, 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: 0.8323, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2135, root_relative_squared_error: 0.8776, scimark_benchmark: 1255.7088, usercpu_time_millis: 55.985, usercpu_time_millis_testing: 4.563, usercpu_time_millis_training: 51.422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9132, f_measure: 0.9266, kappa: 0.2482, kb_relative_information_score: -616.9955, mean_absolute_error: 0.0924, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.939, predictive_accuracy: 0.9448, prior_entropy: 0.3411, recall: 0.9448, relative_absolute_error: 0.7788, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2062, root_relative_squared_error: 0.8477, scimark_benchmark: 1252.9088, usercpu_time_millis: 24.687, usercpu_time_millis_testing: 1.282, usercpu_time_millis_training: 23.405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.891, f_measure: 0.9063, kb_relative_information_score: -877.524, 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: 0.8764, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.221, root_relative_squared_error: 0.9085, scimark_benchmark: 1255.0547, usercpu_time_millis: 24.324, usercpu_time_millis_testing: 2.272, usercpu_time_millis_training: 22.052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8868, f_measure: 0.9063, kb_relative_information_score: -1037.2063, mean_absolute_error: 0.1045, 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: 0.8808, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2224, root_relative_squared_error: 0.9146, scimark_benchmark: 1267.2976, usercpu_time_millis: 50.489, usercpu_time_millis_testing: 4.293, usercpu_time_millis_training: 46.196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9131, f_measure: 0.9243, kappa: 0.2211, kb_relative_information_score: -694.6299, mean_absolute_error: 0.0941, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9367, predictive_accuracy: 0.9436, prior_entropy: 0.3411, recall: 0.9436, relative_absolute_error: 0.7934, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2075, root_relative_squared_error: 0.8531, scimark_benchmark: 1244.7756, usercpu_time_millis: 34.149, usercpu_time_millis_testing: 1.546, usercpu_time_millis_training: 32.603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9088, f_measure: 0.9118, kappa: 0.0669, kb_relative_information_score: -745.461, 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: 0.8113, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2109, root_relative_squared_error: 0.8672, scimark_benchmark: 1253.4981, usercpu_time_millis: 95.854, usercpu_time_millis_testing: 5.144, usercpu_time_millis_training: 90.71,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9031, f_measure: 0.9211, kappa: 0.1789, kb_relative_information_score: -775.7194, mean_absolute_error: 0.0958, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9401, predictive_accuracy: 0.9428, prior_entropy: 0.3411, recall: 0.9428, relative_absolute_error: 0.8081, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2096, root_relative_squared_error: 0.8617, scimark_benchmark: 1261.9086, usercpu_time_millis: 7.713, usercpu_time_millis_testing: 0.55, usercpu_time_millis_training: 7.163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9054, f_measure: 0.9191, kappa: 0.1578, kb_relative_information_score: -705.1973, mean_absolute_error: 0.095, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9355, predictive_accuracy: 0.9416, prior_entropy: 0.3411, recall: 0.9416, relative_absolute_error: 0.8009, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2094, root_relative_squared_error: 0.8612, scimark_benchmark: 1251.3647, usercpu_time_millis: 6.892, usercpu_time_millis_testing: 0.605, usercpu_time_millis_training: 6.287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9056, f_measure: 0.9073, kappa: 0.0116, kb_relative_information_score: -748.8514, mean_absolute_error: 0.0997, 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: 0.8405, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.215, root_relative_squared_error: 0.8839, scimark_benchmark: 1255.3639, usercpu_time_millis: 68.426, usercpu_time_millis_testing: 6.644, usercpu_time_millis_training: 61.782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8869, f_measure: 0.9192, kappa: 0.1681, kb_relative_information_score: -904.7167, mean_absolute_error: 0.0956, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9247, predictive_accuracy: 0.94, prior_entropy: 0.3411, recall: 0.94, relative_absolute_error: 0.8058, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.214, root_relative_squared_error: 0.8797, scimark_benchmark: 1264.2773, usercpu_time_millis: 3.725, usercpu_time_millis_testing: 0.613, usercpu_time_millis_training: 3.112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9123, f_measure: 0.9245, kappa: 0.2228, kb_relative_information_score: -675.0407, mean_absolute_error: 0.0944, 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: 0.7958, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2081, root_relative_squared_error: 0.8558, scimark_benchmark: 1251.7928, usercpu_time_millis: 45.187, usercpu_time_millis_testing: 2.548, usercpu_time_millis_training: 42.639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9019, f_measure: 0.9073, kappa: 0.0116, kb_relative_information_score: -844.8764, mean_absolute_error: 0.1015, 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: 0.8558, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2174, root_relative_squared_error: 0.8939, scimark_benchmark: 1246.8307, usercpu_time_millis: 32.684, usercpu_time_millis_testing: 2.821, usercpu_time_millis_training: 29.863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8989, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -940.5037, mean_absolute_error: 0.1005, 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: 0.8476, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2172, root_relative_squared_error: 0.8931, scimark_benchmark: 1266.087, usercpu_time_millis: 87.56, usercpu_time_millis_testing: 5.558, usercpu_time_millis_training: 82.002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.91, f_measure: 0.9133, kappa: 0.0873, kb_relative_information_score: -724.5507, mean_absolute_error: 0.0963, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.931, predictive_accuracy: 0.9392, prior_entropy: 0.3411, recall: 0.9392, relative_absolute_error: 0.8119, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2104, root_relative_squared_error: 0.865, scimark_benchmark: 1259.7146, usercpu_time_millis: 46.989, usercpu_time_millis_testing: 3.587, usercpu_time_millis_training: 43.402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9123, f_measure: 0.9194, kappa: 0.1593, kb_relative_information_score: -662.6034, mean_absolute_error: 0.095, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9386, predictive_accuracy: 0.942, prior_entropy: 0.3411, recall: 0.942, relative_absolute_error: 0.8007, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2086, root_relative_squared_error: 0.8578, scimark_benchmark: 1262.5563, usercpu_time_millis: 47.249, usercpu_time_millis_testing: 3.834, usercpu_time_millis_training: 43.415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9023, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -871.7731, 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: 0.8431, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2164, root_relative_squared_error: 0.8896, scimark_benchmark: 1269.1952, usercpu_time_millis: 73.206, usercpu_time_millis_testing: 5.798, usercpu_time_millis_training: 67.408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9088, f_measure: 0.9136, kappa: 0.0885, kb_relative_information_score: -715.4632, mean_absolute_error: 0.095, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9366, predictive_accuracy: 0.9396, prior_entropy: 0.3411, recall: 0.9396, relative_absolute_error: 0.8011, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.211, root_relative_squared_error: 0.8675, scimark_benchmark: 1251.9404, usercpu_time_millis: 78.914, usercpu_time_millis_testing: 4.296, usercpu_time_millis_training: 74.618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8277, f_measure: 0.9063, kb_relative_information_score: -1199.6759, 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: 0.9285, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2312, root_relative_squared_error: 0.9506, scimark_benchmark: 1256.5894, usercpu_time_millis: 8.895, usercpu_time_millis_testing: 0.8, usercpu_time_millis_training: 8.095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8772, f_measure: 0.9129, kappa: 0.085, kb_relative_information_score: -783.7601, mean_absolute_error: 0.0957, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9225, predictive_accuracy: 0.9384, prior_entropy: 0.3411, recall: 0.9384, relative_absolute_error: 0.8072, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2171, root_relative_squared_error: 0.8925, scimark_benchmark: 1256.781, usercpu_time_millis: 3.169, usercpu_time_millis_testing: 0.291, usercpu_time_millis_training: 2.878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8751, f_measure: 0.9063, kb_relative_information_score: -1051.9847, mean_absolute_error: 0.106, 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: 0.8936, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2235, root_relative_squared_error: 0.9191, scimark_benchmark: 1256.8657, usercpu_time_millis: 23.281, usercpu_time_millis_testing: 2.002, usercpu_time_millis_training: 21.279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.914, f_measure: 0.9211, kappa: 0.1789, kb_relative_information_score: -615.3086, mean_absolute_error: 0.0935, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9401, predictive_accuracy: 0.9428, prior_entropy: 0.3411, recall: 0.9428, relative_absolute_error: 0.7879, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.208, root_relative_squared_error: 0.8553, scimark_benchmark: 1255.9587, usercpu_time_millis: 19.972, usercpu_time_millis_testing: 1.822, usercpu_time_millis_training: 18.15,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9157, f_measure: 0.9275, kappa: 0.262, kb_relative_information_score: -640.3426, mean_absolute_error: 0.0925, 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: 0.7798, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2058, root_relative_squared_error: 0.8462, scimark_benchmark: 1265.9679, usercpu_time_millis: 95.282, usercpu_time_millis_testing: 3.773, usercpu_time_millis_training: 91.509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8966, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -961.342, 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: 0.2178, root_relative_squared_error: 0.8956, scimark_benchmark: 1273.7942, usercpu_time_millis: 62.111, usercpu_time_millis_testing: 4.138, usercpu_time_millis_training: 57.973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9063, kb_relative_information_score: -5.4893, mean_absolute_error: 0.1183, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9977, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1269.1493, usercpu_time_millis: 13.09, usercpu_time_millis_testing: 1.447, usercpu_time_millis_training: 11.643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8325, f_measure: 0.9063, kb_relative_information_score: -765.998, mean_absolute_error: 0.1137, 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: 0.9588, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2354, root_relative_squared_error: 0.968, scimark_benchmark: 1266.8613, usercpu_time_millis: 13.703, usercpu_time_millis_testing: 1.47, usercpu_time_millis_training: 12.233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8927, f_measure: 0.9063, kb_relative_information_score: -962.3303, 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: 0.2228, root_relative_squared_error: 0.9162, scimark_benchmark: 1267.4688, usercpu_time_millis: 11.277, usercpu_time_millis_testing: 0.962, usercpu_time_millis_training: 10.315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.902, f_measure: 0.909, kappa: 0.0336, kb_relative_information_score: -887.5345, mean_absolute_error: 0.0978, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9261, predictive_accuracy: 0.9376, prior_entropy: 0.3411, recall: 0.9376, relative_absolute_error: 0.8246, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.215, root_relative_squared_error: 0.8838, scimark_benchmark: 1265.9431, usercpu_time_millis: 65.408, usercpu_time_millis_testing: 3.082, usercpu_time_millis_training: 62.326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9149, f_measure: 0.9253, kappa: 0.2356, kb_relative_information_score: -628.2479, mean_absolute_error: 0.0926, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9348, predictive_accuracy: 0.9436, prior_entropy: 0.3411, recall: 0.9436, relative_absolute_error: 0.781, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2057, root_relative_squared_error: 0.8459, scimark_benchmark: 1261.9598, usercpu_time_millis: 188.492, usercpu_time_millis_testing: 7.928, usercpu_time_millis_training: 180.564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9166, f_measure: 0.9214, kappa: 0.1854, kb_relative_information_score: -619.0517, mean_absolute_error: 0.0935, 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: 0.7883, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2071, root_relative_squared_error: 0.8513, scimark_benchmark: 1271.489, usercpu_time_millis: 105.283, usercpu_time_millis_testing: 8.358, usercpu_time_millis_training: 96.925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9151, f_measure: 0.9238, kappa: 0.2136, kb_relative_information_score: -648.1546, mean_absolute_error: 0.0943, 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: 0.7948, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2074, root_relative_squared_error: 0.8526, scimark_benchmark: 1267.8868, usercpu_time_millis: 58.304, usercpu_time_millis_testing: 4.68, usercpu_time_millis_training: 53.624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8974, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -933.5094, 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: 0.851, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2176, root_relative_squared_error: 0.8948, scimark_benchmark: 1214.6563, usercpu_time_millis: 55.321, usercpu_time_millis_testing: 4.64, usercpu_time_millis_training: 50.681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8893, f_measure: 0.9242, kappa: 0.225, kb_relative_information_score: -800.0318, mean_absolute_error: 0.0936, 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: 0.7893, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.21, root_relative_squared_error: 0.8636, scimark_benchmark: 1282.7893, usercpu_time_millis: 7.992, usercpu_time_millis_testing: 0.635, usercpu_time_millis_training: 7.357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8691, f_measure: 0.9063, kb_relative_information_score: -1097.7628, 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: 0.8992, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2252, root_relative_squared_error: 0.926, scimark_benchmark: 1242.8467, usercpu_time_millis: 30.011, usercpu_time_millis_testing: 2.427, usercpu_time_millis_training: 27.584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9137, f_measure: 0.9214, kappa: 0.1854, kb_relative_information_score: -675.2721, mean_absolute_error: 0.0947, 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: 0.7987, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2083, root_relative_squared_error: 0.8564, scimark_benchmark: 1274.1639, usercpu_time_millis: 86.755, usercpu_time_millis_testing: 4.963, usercpu_time_millis_training: 81.792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8968, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -959.4555, mean_absolute_error: 0.1027, 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: 0.8657, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2195, root_relative_squared_error: 0.9025, scimark_benchmark: 1269.1417, usercpu_time_millis: 12.114, usercpu_time_millis_testing: 0.974, usercpu_time_millis_training: 11.14,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9054, f_measure: 0.9118, kappa: 0.0669, kb_relative_information_score: -741.9813, mean_absolute_error: 0.0976, 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: 0.8228, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2116, root_relative_squared_error: 0.8699, scimark_benchmark: 1273.5708, usercpu_time_millis: 12.145, usercpu_time_millis_testing: 1.001, usercpu_time_millis_training: 11.144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8998, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -838.4363, mean_absolute_error: 0.099, 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: 0.8347, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2145, root_relative_squared_error: 0.8818, scimark_benchmark: 1279.0151, usercpu_time_millis: 78.951, usercpu_time_millis_testing: 5.394, usercpu_time_millis_training: 73.557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.89, f_measure: 0.9063, kb_relative_information_score: -993.4632, mean_absolute_error: 0.1053, 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: 0.8875, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2233, root_relative_squared_error: 0.9182, scimark_benchmark: 1268.7624, usercpu_time_millis: 9.816, usercpu_time_millis_testing: 1.004, usercpu_time_millis_training: 8.812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8665, f_measure: 0.9063, kb_relative_information_score: -1027.7231, 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: 0.928, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2301, root_relative_squared_error: 0.9461, scimark_benchmark: 1239.797, usercpu_time_millis: 9.278, usercpu_time_millis_testing: 1.055, usercpu_time_millis_training: 8.223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8652, f_measure: 0.9063, kb_relative_information_score: -1160.1892, mean_absolute_error: 0.107, 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: 0.9025, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2265, root_relative_squared_error: 0.9314, scimark_benchmark: 1279.2478, usercpu_time_millis: 48.609, usercpu_time_millis_testing: 3.673, usercpu_time_millis_training: 44.936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9155, f_measure: 0.9197, kappa: 0.1661, kb_relative_information_score: -614.1612, mean_absolute_error: 0.0937, 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: 0.7903, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.208, root_relative_squared_error: 0.8551, scimark_benchmark: 1269.7024, usercpu_time_millis: 109.882, usercpu_time_millis_testing: 9.409, usercpu_time_millis_training: 100.473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9153, f_measure: 0.9232, kappa: 0.2102, kb_relative_information_score: -650.6728, mean_absolute_error: 0.0933, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.934, predictive_accuracy: 0.9428, prior_entropy: 0.3411, recall: 0.9428, relative_absolute_error: 0.7868, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2067, root_relative_squared_error: 0.8499, scimark_benchmark: 1270.9323, usercpu_time_millis: 45.85, usercpu_time_millis_testing: 2.864, usercpu_time_millis_training: 42.986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8474, f_measure: 0.9063, kb_relative_information_score: -1232.5945, mean_absolute_error: 0.1087, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9166, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2291, root_relative_squared_error: 0.942, scimark_benchmark: 1276.6811, usercpu_time_millis: 19.34, usercpu_time_millis_testing: 1.527, usercpu_time_millis_training: 17.813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9011, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -885.09, mean_absolute_error: 0.0998, 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: 0.8415, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2158, root_relative_squared_error: 0.8873, scimark_benchmark: 1267.3592, usercpu_time_millis: 86.168, usercpu_time_millis_testing: 5.512, usercpu_time_millis_training: 80.656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8906, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -1010.6129, mean_absolute_error: 0.1026, 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: 0.8646, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2201, root_relative_squared_error: 0.9048, scimark_benchmark: 1277.6121, usercpu_time_millis: 70.16, usercpu_time_millis_testing: 4.625, usercpu_time_millis_training: 65.535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9089, f_measure: 0.9073, kappa: 0.0116, kb_relative_information_score: -750.8762, mean_absolute_error: 0.0991, 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: 0.8353, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2134, root_relative_squared_error: 0.8774, scimark_benchmark: 1276.9613, usercpu_time_millis: 30.002, usercpu_time_millis_testing: 3.16, usercpu_time_millis_training: 26.842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.867, f_measure: 0.9063, kb_relative_information_score: -1115.2171, mean_absolute_error: 0.1076, 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: 0.9074, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2272, root_relative_squared_error: 0.9341, scimark_benchmark: 1280.215, usercpu_time_millis: 25.305, usercpu_time_millis_testing: 2.255, usercpu_time_millis_training: 23.05,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9086, f_measure: 0.909, kappa: 0.0336, kb_relative_information_score: -795.595, mean_absolute_error: 0.0974, 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: 0.8214, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2134, root_relative_squared_error: 0.8775, scimark_benchmark: 1261.3441, usercpu_time_millis: 49.675, usercpu_time_millis_testing: 3.763, usercpu_time_millis_training: 45.912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8963, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -953.2719, 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: 0.8479, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2173, root_relative_squared_error: 0.8934, scimark_benchmark: 1231.4674, usercpu_time_millis: 60.56, usercpu_time_millis_testing: 2.956, usercpu_time_millis_training: 57.604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9155, f_measure: 0.923, kappa: 0.2043, kb_relative_information_score: -649.3026, mean_absolute_error: 0.0941, 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: 0.793, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2069, root_relative_squared_error: 0.8507, scimark_benchmark: 1272.9545, usercpu_time_millis: 71.662, usercpu_time_millis_testing: 4.57, usercpu_time_millis_training: 67.092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8926, f_measure: 0.9073, kappa: 0.0116, kb_relative_information_score: -932.8252, mean_absolute_error: 0.1026, 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: 0.8654, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2194, root_relative_squared_error: 0.9021, scimark_benchmark: 1271.3458, usercpu_time_millis: 42.701, usercpu_time_millis_testing: 3.843, usercpu_time_millis_training: 38.858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9157, f_measure: 0.925, kappa: 0.2302, kb_relative_information_score: -646.5038, mean_absolute_error: 0.0936, 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: 0.789, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2066, root_relative_squared_error: 0.8495, scimark_benchmark: 1269.561, usercpu_time_millis: 139.804, usercpu_time_millis_testing: 8.55, usercpu_time_millis_training: 131.254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.909, f_measure: 0.9171, kappa: 0.1305, kb_relative_information_score: -728.2581, mean_absolute_error: 0.0955, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9401, predictive_accuracy: 0.9412, prior_entropy: 0.3411, recall: 0.9412, relative_absolute_error: 0.8051, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2099, root_relative_squared_error: 0.863, scimark_benchmark: 1257.9694, usercpu_time_millis: 27.102, usercpu_time_millis_testing: 1.524, usercpu_time_millis_training: 25.578,

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