OpenML
Supervised Classification on nomao

Supervised Classification on nomao

Task 9977 Supervised Classification nomao 31675 runs submitted
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  • OpenML-CC18 OpenML100 study_123 study_14 study_218 study_99
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9689, kappa: 0.9236, kb_relative_information_score: 29898.1796, mean_absolute_error: 0.0574, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9688, predictive_accuracy: 0.9689, prior_entropy: 0.863, recall: 0.9689, relative_absolute_error: 0.1407, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1571, root_relative_squared_error: 0.3479, scimark_benchmark: 1354.2128, usercpu_time_millis: 7306.396, usercpu_time_millis_testing: 18.725, usercpu_time_millis_training: 7287.671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9793, f_measure: 0.9324, kappa: 0.8325, kb_relative_information_score: 25349.5269, mean_absolute_error: 0.109, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9327, predictive_accuracy: 0.9332, prior_entropy: 0.863, recall: 0.9332, relative_absolute_error: 0.2671, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2257, root_relative_squared_error: 0.4996, scimark_benchmark: 1347.6847, usercpu_time_millis: 2929.588, usercpu_time_millis_testing: 4.117, usercpu_time_millis_training: 2925.471,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.981, f_measure: 0.9346, kappa: 0.8377, kb_relative_information_score: 25451.8633, mean_absolute_error: 0.1098, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9351, predictive_accuracy: 0.9355, prior_entropy: 0.863, recall: 0.9355, relative_absolute_error: 0.2691, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2222, root_relative_squared_error: 0.4919, scimark_benchmark: 1353.083, usercpu_time_millis: 6279.531, usercpu_time_millis_testing: 19.204, usercpu_time_millis_training: 6260.327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9697, kappa: 0.9258, kb_relative_information_score: 30121.8396, mean_absolute_error: 0.0544, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9697, predictive_accuracy: 0.9698, prior_entropy: 0.863, recall: 0.9698, relative_absolute_error: 0.1332, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1539, root_relative_squared_error: 0.3407, scimark_benchmark: 1353.404, usercpu_time_millis: 6984.594, usercpu_time_millis_testing: 28.413, usercpu_time_millis_training: 6956.181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9685, kappa: 0.9228, kb_relative_information_score: 30236.6982, mean_absolute_error: 0.0521, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9685, predictive_accuracy: 0.9685, prior_entropy: 0.863, recall: 0.9685, relative_absolute_error: 0.1277, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1565, root_relative_squared_error: 0.3465, scimark_benchmark: 1352.423, usercpu_time_millis: 9482.461, usercpu_time_millis_testing: 19.126, usercpu_time_millis_training: 9463.335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.956, kappa: 0.892, kb_relative_information_score: 28037.0601, mean_absolute_error: 0.0798, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9559, predictive_accuracy: 0.956, prior_entropy: 0.863, recall: 0.956, relative_absolute_error: 0.1955, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1859, root_relative_squared_error: 0.4116, scimark_benchmark: 1826.3384, usercpu_time_millis: 1944.132, usercpu_time_millis_testing: 8.915, usercpu_time_millis_training: 1935.217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9581, kappa: 0.8971, kb_relative_information_score: 28219.4673, mean_absolute_error: 0.078, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.958, predictive_accuracy: 0.9581, prior_entropy: 0.863, recall: 0.9581, relative_absolute_error: 0.1912, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1807, root_relative_squared_error: 0.4001, scimark_benchmark: 1733.3606, usercpu_time_millis: 1382.424, usercpu_time_millis_testing: 11.281, usercpu_time_millis_training: 1371.143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9622, kappa: 0.9072, kb_relative_information_score: 28946.2844, mean_absolute_error: 0.0692, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9622, predictive_accuracy: 0.9623, prior_entropy: 0.863, recall: 0.9623, relative_absolute_error: 0.1695, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.172, root_relative_squared_error: 0.3807, scimark_benchmark: 1849.8294, usercpu_time_millis: 4714.151, usercpu_time_millis_testing: 17.89, usercpu_time_millis_training: 4696.261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.9348, kappa: 0.8385, kb_relative_information_score: 26048.9987, mean_absolute_error: 0.1022, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9351, predictive_accuracy: 0.9356, prior_entropy: 0.863, recall: 0.9356, relative_absolute_error: 0.2504, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2157, root_relative_squared_error: 0.4774, scimark_benchmark: 1831.2726, usercpu_time_millis: 4358.623, usercpu_time_millis_testing: 13.374, usercpu_time_millis_training: 4345.249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9661, kappa: 0.9168, kb_relative_information_score: 29516.7678, mean_absolute_error: 0.062, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9661, predictive_accuracy: 0.9661, prior_entropy: 0.863, recall: 0.9661, relative_absolute_error: 0.152, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1633, root_relative_squared_error: 0.3616, scimark_benchmark: 1355.7656, usercpu_time_millis: 6649.124, usercpu_time_millis_testing: 20.708, usercpu_time_millis_training: 6628.416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9782, f_measure: 0.9292, kappa: 0.8243, kb_relative_information_score: 25153.7292, mean_absolute_error: 0.1111, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9298, predictive_accuracy: 0.9303, prior_entropy: 0.863, recall: 0.9303, relative_absolute_error: 0.2722, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2286, root_relative_squared_error: 0.5061, scimark_benchmark: 1349.9645, usercpu_time_millis: 8537.83, usercpu_time_millis_testing: 17.062, usercpu_time_millis_training: 8520.768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9633, f_measure: 0.8875, kappa: 0.7242, kb_relative_information_score: 16995.0261, mean_absolute_error: 0.2181, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8874, predictive_accuracy: 0.8876, prior_entropy: 0.863, recall: 0.8876, relative_absolute_error: 0.5346, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2929, root_relative_squared_error: 0.6484, scimark_benchmark: 1355.9201, usercpu_time_millis: 75.446, usercpu_time_millis_testing: 1.407, usercpu_time_millis_training: 74.039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -5.9262, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1356.094, usercpu_time_millis: 37.556, usercpu_time_millis_testing: 6.102, usercpu_time_millis_training: 31.454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9688, f_measure: 0.9092, kappa: 0.7748, kb_relative_information_score: 21966.7013, mean_absolute_error: 0.1565, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9093, predictive_accuracy: 0.9105, prior_entropy: 0.863, recall: 0.9105, relative_absolute_error: 0.3834, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2583, root_relative_squared_error: 0.5718, scimark_benchmark: 1354.8647, usercpu_time_millis: 2753.963, usercpu_time_millis_testing: 12.165, usercpu_time_millis_training: 2741.798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9517, kappa: 0.8816, kb_relative_information_score: 27609.5837, mean_absolute_error: 0.0849, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9517, predictive_accuracy: 0.9517, prior_entropy: 0.863, recall: 0.9517, relative_absolute_error: 0.208, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1929, root_relative_squared_error: 0.4269, scimark_benchmark: 1357.3887, usercpu_time_millis: 5512.501, usercpu_time_millis_testing: 17.113, usercpu_time_millis_training: 5495.388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9691, kappa: 0.9242, kb_relative_information_score: 30224.1311, mean_absolute_error: 0.0525, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9691, predictive_accuracy: 0.9691, prior_entropy: 0.863, recall: 0.9691, relative_absolute_error: 0.1286, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1559, root_relative_squared_error: 0.3451, scimark_benchmark: 1363.7342, usercpu_time_millis: 8997.256, usercpu_time_millis_testing: 18.929, usercpu_time_millis_training: 8978.327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9778, f_measure: 0.9168, kappa: 0.7906, kb_relative_information_score: 24129.3409, mean_absolute_error: 0.1287, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9222, predictive_accuracy: 0.9198, prior_entropy: 0.863, recall: 0.9198, relative_absolute_error: 0.3152, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2353, root_relative_squared_error: 0.5209, scimark_benchmark: 1338.278, usercpu_time_millis: 558.007, usercpu_time_millis_testing: 3.914, usercpu_time_millis_training: 554.093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9464, kappa: 0.8681, kb_relative_information_score: 26858.1317, mean_absolute_error: 0.0941, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9463, predictive_accuracy: 0.9465, prior_entropy: 0.863, recall: 0.9465, relative_absolute_error: 0.2306, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2017, root_relative_squared_error: 0.4465, scimark_benchmark: 1353.784, usercpu_time_millis: 2556.291, usercpu_time_millis_testing: 17.725, usercpu_time_millis_training: 2538.566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.9308, kappa: 0.8273, kb_relative_information_score: 19383.7188, mean_absolute_error: 0.1978, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9327, predictive_accuracy: 0.9323, prior_entropy: 0.863, recall: 0.9323, relative_absolute_error: 0.4846, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2629, root_relative_squared_error: 0.5819, scimark_benchmark: 1355.5465, usercpu_time_millis: 333.896, usercpu_time_millis_testing: 18.796, usercpu_time_millis_training: 315.1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: -3.7009, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1830.2412, usercpu_time_millis: 25.8, usercpu_time_millis_testing: 1.133, usercpu_time_millis_training: 24.667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.979, f_measure: 0.9171, kappa: 0.7916, kb_relative_information_score: 23455.374, mean_absolute_error: 0.1401, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9217, predictive_accuracy: 0.9199, prior_entropy: 0.863, recall: 0.9199, relative_absolute_error: 0.3433, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2367, root_relative_squared_error: 0.524, scimark_benchmark: 1840.8331, usercpu_time_millis: 34.97, usercpu_time_millis_testing: 0.603, usercpu_time_millis_training: 34.367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.953, f_measure: 0.8671, kappa: 0.673, kb_relative_information_score: 15020.9842, mean_absolute_error: 0.2445, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8667, predictive_accuracy: 0.8676, prior_entropy: 0.863, recall: 0.8676, relative_absolute_error: 0.599, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3116, root_relative_squared_error: 0.6898, scimark_benchmark: 1845.8518, usercpu_time_millis: 68.049, usercpu_time_millis_testing: 2.861, usercpu_time_millis_training: 65.188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9518, f_measure: 0.8799, kappa: 0.697, kb_relative_information_score: 13076.1378, mean_absolute_error: 0.2723, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8851, predictive_accuracy: 0.8849, prior_entropy: 0.863, recall: 0.8849, relative_absolute_error: 0.6674, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3267, root_relative_squared_error: 0.7232, scimark_benchmark: 1837.8616, usercpu_time_millis: 103.727, usercpu_time_millis_testing: 8.107, usercpu_time_millis_training: 95.62,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9845, f_measure: 0.9375, kappa: 0.8449, kb_relative_information_score: 24788.9176, mean_absolute_error: 0.1235, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.938, predictive_accuracy: 0.9383, prior_entropy: 0.863, recall: 0.9383, relative_absolute_error: 0.3026, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.219, root_relative_squared_error: 0.4848, scimark_benchmark: 1352.7692, usercpu_time_millis: 265.811, usercpu_time_millis_testing: 10.079, usercpu_time_millis_training: 255.732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9417, f_measure: 0.8634, kappa: 0.665, kb_relative_information_score: 16083.2336, mean_absolute_error: 0.2285, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8633, predictive_accuracy: 0.8635, prior_entropy: 0.863, recall: 0.8635, relative_absolute_error: 0.56, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3134, root_relative_squared_error: 0.6939, scimark_benchmark: 1351.2034, usercpu_time_millis: 458.36, usercpu_time_millis_testing: 11.173, usercpu_time_millis_training: 447.187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9574, kappa: 0.8954, kb_relative_information_score: 28093.9786, mean_absolute_error: 0.0799, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9573, predictive_accuracy: 0.9575, prior_entropy: 0.863, recall: 0.9575, relative_absolute_error: 0.1958, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1822, root_relative_squared_error: 0.4033, scimark_benchmark: 1351.2447, usercpu_time_millis: 1136.978, usercpu_time_millis_testing: 19.235, usercpu_time_millis_training: 1117.743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.964, kappa: 0.9115, kb_relative_information_score: 28240.3194, mean_absolute_error: 0.0815, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.964, predictive_accuracy: 0.9642, prior_entropy: 0.863, recall: 0.9642, relative_absolute_error: 0.1996, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1702, root_relative_squared_error: 0.3768, scimark_benchmark: 1356.4529, usercpu_time_millis: 321.79, usercpu_time_millis_testing: 12.246, usercpu_time_millis_training: 309.544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9624, kappa: 0.9075, kb_relative_information_score: 28845.7635, mean_absolute_error: 0.0709, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9623, predictive_accuracy: 0.9625, prior_entropy: 0.863, recall: 0.9625, relative_absolute_error: 0.1737, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1715, root_relative_squared_error: 0.3796, scimark_benchmark: 1356.1187, usercpu_time_millis: 2832.579, usercpu_time_millis_testing: 18.291, usercpu_time_millis_training: 2814.288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9652, kappa: 0.9145, kb_relative_information_score: 29213.2881, mean_absolute_error: 0.0663, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9651, predictive_accuracy: 0.9652, prior_entropy: 0.863, recall: 0.9652, relative_absolute_error: 0.1625, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1654, root_relative_squared_error: 0.3661, scimark_benchmark: 1353.8716, usercpu_time_millis: 1269.043, usercpu_time_millis_testing: 12.737, usercpu_time_millis_training: 1256.306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.9316, kappa: 0.8293, kb_relative_information_score: 19341.9647, mean_absolute_error: 0.1985, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9336, predictive_accuracy: 0.9332, prior_entropy: 0.863, recall: 0.9332, relative_absolute_error: 0.4865, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.263, root_relative_squared_error: 0.5823, scimark_benchmark: 1351.3232, usercpu_time_millis: 259.502, usercpu_time_millis_testing: 12.444, usercpu_time_millis_training: 247.058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9639, kappa: 0.9112, kb_relative_information_score: 28499.4121, mean_absolute_error: 0.077, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9638, predictive_accuracy: 0.964, prior_entropy: 0.863, recall: 0.964, relative_absolute_error: 0.1886, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1699, root_relative_squared_error: 0.3762, scimark_benchmark: 1351.5589, usercpu_time_millis: 98.943, usercpu_time_millis_testing: 3.401, usercpu_time_millis_training: 95.542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.952, kappa: 0.8817, kb_relative_information_score: 26769.5677, mean_absolute_error: 0.0978, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9519, predictive_accuracy: 0.9522, prior_entropy: 0.863, recall: 0.9522, relative_absolute_error: 0.2397, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1955, root_relative_squared_error: 0.4328, scimark_benchmark: 1356.608, usercpu_time_millis: 575.83, usercpu_time_millis_testing: 15.027, usercpu_time_millis_training: 560.803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9872, f_measure: 0.9473, kappa: 0.8703, kb_relative_information_score: 26773.1065, mean_absolute_error: 0.0959, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9472, predictive_accuracy: 0.9474, prior_entropy: 0.863, recall: 0.9474, relative_absolute_error: 0.235, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2006, root_relative_squared_error: 0.4442, scimark_benchmark: 1353.8704, usercpu_time_millis: 1601.349, usercpu_time_millis_testing: 16.368, usercpu_time_millis_training: 1584.981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9642, kappa: 0.9121, kb_relative_information_score: 29376.2962, mean_absolute_error: 0.0632, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9641, predictive_accuracy: 0.9642, prior_entropy: 0.863, recall: 0.9642, relative_absolute_error: 0.155, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1665, root_relative_squared_error: 0.3686, scimark_benchmark: 1355.948, usercpu_time_millis: 10722.716, usercpu_time_millis_testing: 28.009, usercpu_time_millis_training: 10694.707,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9737, f_measure: 0.915, kappa: 0.7863, kb_relative_information_score: 24125.651, mean_absolute_error: 0.1268, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9199, predictive_accuracy: 0.918, prior_entropy: 0.863, recall: 0.918, relative_absolute_error: 0.3106, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2388, root_relative_squared_error: 0.5287, scimark_benchmark: 1836.7125, usercpu_time_millis: 1280.81, usercpu_time_millis_testing: 3.376, usercpu_time_millis_training: 1277.434,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.9584, kappa: 0.8978, kb_relative_information_score: 28290.6806, mean_absolute_error: 0.0775, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9583, predictive_accuracy: 0.9585, prior_entropy: 0.863, recall: 0.9585, relative_absolute_error: 0.19, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1803, root_relative_squared_error: 0.3992, scimark_benchmark: 1359.0183, usercpu_time_millis: 2368.009, usercpu_time_millis_testing: 21.047, usercpu_time_millis_training: 2346.962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.5954, kb_relative_information_score: -5.1341, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1354.5368, usercpu_time_millis: 43.154, usercpu_time_millis_testing: 6.106, usercpu_time_millis_training: 37.048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8867, f_measure: 0.8583, kappa: 0.6522, kb_relative_information_score: 15548.1069, mean_absolute_error: 0.2351, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8581, predictive_accuracy: 0.8586, prior_entropy: 0.863, recall: 0.8586, relative_absolute_error: 0.576, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3332, root_relative_squared_error: 0.7377, scimark_benchmark: 1344.5796, usercpu_time_millis: 187.091, usercpu_time_millis_testing: 5.599, usercpu_time_millis_training: 181.492,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.9265, kappa: 0.8152, kb_relative_information_score: 18903.733, mean_absolute_error: 0.2089, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9313, predictive_accuracy: 0.9289, prior_entropy: 0.863, recall: 0.9289, relative_absolute_error: 0.512, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2655, root_relative_squared_error: 0.5877, scimark_benchmark: 1365.2471, usercpu_time_millis: 163.793, usercpu_time_millis_testing: 12.447, usercpu_time_millis_training: 151.346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9774, f_measure: 0.9257, kappa: 0.8146, kb_relative_information_score: 24944.7822, mean_absolute_error: 0.1141, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9277, predictive_accuracy: 0.9275, prior_entropy: 0.863, recall: 0.9275, relative_absolute_error: 0.2795, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2309, root_relative_squared_error: 0.5111, scimark_benchmark: 1357.7045, usercpu_time_millis: 715.208, usercpu_time_millis_testing: 1.211, usercpu_time_millis_training: 713.997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -1.5935, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1356.7036, usercpu_time_millis: 80.055, usercpu_time_millis_testing: 9.379, usercpu_time_millis_training: 70.676,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9639, kappa: 0.9114, kb_relative_information_score: 28889.4471, mean_absolute_error: 0.0707, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9639, predictive_accuracy: 0.964, prior_entropy: 0.863, recall: 0.964, relative_absolute_error: 0.1731, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1688, root_relative_squared_error: 0.3737, scimark_benchmark: 1358.415, usercpu_time_millis: 420.201, usercpu_time_millis_testing: 7.879, usercpu_time_millis_training: 412.322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9549, kappa: 0.8895, kb_relative_information_score: 27886.9711, mean_absolute_error: 0.0817, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9549, predictive_accuracy: 0.955, prior_entropy: 0.863, recall: 0.955, relative_absolute_error: 0.2003, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1878, root_relative_squared_error: 0.4158, scimark_benchmark: 1356.6045, usercpu_time_millis: 1878.587, usercpu_time_millis_testing: 9.807, usercpu_time_millis_training: 1868.78,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -2.7646, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1357.1725, usercpu_time_millis: 56.884, usercpu_time_millis_testing: 7.748, usercpu_time_millis_training: 49.136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9673, kappa: 0.9197, kb_relative_information_score: 29562.1798, mean_absolute_error: 0.0618, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9672, predictive_accuracy: 0.9673, prior_entropy: 0.863, recall: 0.9673, relative_absolute_error: 0.1513, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1616, root_relative_squared_error: 0.3577, scimark_benchmark: 1346.7577, usercpu_time_millis: 6443.745, usercpu_time_millis_testing: 21.07, usercpu_time_millis_training: 6422.675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.9386, kappa: 0.8481, kb_relative_information_score: 26020.3973, mean_absolute_error: 0.1043, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9388, predictive_accuracy: 0.9392, prior_entropy: 0.863, recall: 0.9392, relative_absolute_error: 0.2555, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2127, root_relative_squared_error: 0.4708, scimark_benchmark: 1359.0879, usercpu_time_millis: 417.323, usercpu_time_millis_testing: 4.479, usercpu_time_millis_training: 412.844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9813, f_measure: 0.9253, kappa: 0.8134, kb_relative_information_score: 23280.894, mean_absolute_error: 0.1438, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9276, predictive_accuracy: 0.9271, prior_entropy: 0.863, recall: 0.9271, relative_absolute_error: 0.3523, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2336, root_relative_squared_error: 0.5172, scimark_benchmark: 1349.6104, usercpu_time_millis: 607.399, usercpu_time_millis_testing: 15.42, usercpu_time_millis_training: 591.979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.957, kappa: 0.8946, kb_relative_information_score: 28172.2736, mean_absolute_error: 0.0783, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.957, predictive_accuracy: 0.9571, prior_entropy: 0.863, recall: 0.9571, relative_absolute_error: 0.192, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1838, root_relative_squared_error: 0.407, scimark_benchmark: 1354.724, usercpu_time_millis: 5114.052, usercpu_time_millis_testing: 18.582, usercpu_time_millis_training: 5095.47,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.925, f_measure: 0.8652, kappa: 0.673, kb_relative_information_score: 17326.4419, mean_absolute_error: 0.2065, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8671, predictive_accuracy: 0.864, prior_entropy: 0.863, recall: 0.864, relative_absolute_error: 0.506, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3103, root_relative_squared_error: 0.6868, scimark_benchmark: 1353.2199, usercpu_time_millis: 1973.973, usercpu_time_millis_testing: 12.526, usercpu_time_millis_training: 1961.447,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9685, kappa: 0.9227, kb_relative_information_score: 29835.114, mean_absolute_error: 0.0583, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9685, predictive_accuracy: 0.9685, prior_entropy: 0.863, recall: 0.9685, relative_absolute_error: 0.1428, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1573, root_relative_squared_error: 0.3482, scimark_benchmark: 1358.8404, usercpu_time_millis: 654.593, usercpu_time_millis_testing: 2.774, usercpu_time_millis_training: 651.819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9521, kappa: 0.8825, kb_relative_information_score: 27749.8735, mean_absolute_error: 0.0829, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.952, predictive_accuracy: 0.9521, prior_entropy: 0.863, recall: 0.9521, relative_absolute_error: 0.2032, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.192, root_relative_squared_error: 0.425, scimark_benchmark: 1350.1013, usercpu_time_millis: 7006.833, usercpu_time_millis_testing: 14.647, usercpu_time_millis_training: 6992.186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9751, f_measure: 0.9157, kappa: 0.7887, kb_relative_information_score: 23454.9526, mean_absolute_error: 0.1378, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9189, predictive_accuracy: 0.9182, prior_entropy: 0.863, recall: 0.9182, relative_absolute_error: 0.3376, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2387, root_relative_squared_error: 0.5285, scimark_benchmark: 1347.5839, usercpu_time_millis: 192.896, usercpu_time_millis_testing: 1.045, usercpu_time_millis_training: 191.851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9654, kappa: 0.9151, kb_relative_information_score: 29188.9166, mean_absolute_error: 0.067, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9654, predictive_accuracy: 0.9655, prior_entropy: 0.863, recall: 0.9655, relative_absolute_error: 0.1641, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1641, root_relative_squared_error: 0.3634, scimark_benchmark: 1360.0443, usercpu_time_millis: 879.041, usercpu_time_millis_testing: 13.1, usercpu_time_millis_training: 865.941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.5954, kb_relative_information_score: 0.0499, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1963.108, usercpu_time_millis: 17.596, usercpu_time_millis_testing: 1.224, usercpu_time_millis_training: 16.372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -3.5476, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1758.106, usercpu_time_millis: 40.36, usercpu_time_millis_testing: 6.403, usercpu_time_millis_training: 33.957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9712, f_measure: 0.9135, kappa: 0.7827, kb_relative_information_score: 23820.1147, mean_absolute_error: 0.1301, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9179, predictive_accuracy: 0.9164, prior_entropy: 0.863, recall: 0.9164, relative_absolute_error: 0.3188, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2416, root_relative_squared_error: 0.5349, scimark_benchmark: 1826.8494, usercpu_time_millis: 827.777, usercpu_time_millis_testing: 2.29, usercpu_time_millis_training: 825.487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9527, kappa: 0.8837, kb_relative_information_score: 27425.724, mean_absolute_error: 0.0882, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9527, predictive_accuracy: 0.9529, prior_entropy: 0.863, recall: 0.9529, relative_absolute_error: 0.2162, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1917, root_relative_squared_error: 0.4245, scimark_benchmark: 1822.8291, usercpu_time_millis: 16.177, usercpu_time_millis_testing: 0.598, usercpu_time_millis_training: 15.579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.5854, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1727.9533, usercpu_time_millis: 43.376, usercpu_time_millis_testing: 5.709, usercpu_time_millis_training: 37.667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9447, f_measure: 0.8659, kappa: 0.6717, kb_relative_information_score: 16362.9558, mean_absolute_error: 0.2234, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.866, predictive_accuracy: 0.8658, prior_entropy: 0.863, recall: 0.8658, relative_absolute_error: 0.5473, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.309, root_relative_squared_error: 0.6841, scimark_benchmark: 1818.9591, usercpu_time_millis: 111.077, usercpu_time_millis_testing: 1.569, usercpu_time_millis_training: 109.508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.9226, kappa: 0.806, kb_relative_information_score: 24103.7483, mean_absolute_error: 0.1307, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9259, predictive_accuracy: 0.9248, prior_entropy: 0.863, recall: 0.9248, relative_absolute_error: 0.3202, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2305, root_relative_squared_error: 0.5102, scimark_benchmark: 1819.8674, usercpu_time_millis: 173.68, usercpu_time_millis_testing: 1.531, usercpu_time_millis_training: 172.149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.954, kappa: 0.8871, kb_relative_information_score: 27835.2941, mean_absolute_error: 0.0822, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9539, predictive_accuracy: 0.954, prior_entropy: 0.863, recall: 0.954, relative_absolute_error: 0.2014, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.189, root_relative_squared_error: 0.4185, scimark_benchmark: 1834.6797, usercpu_time_millis: 1061.075, usercpu_time_millis_testing: 4.188, usercpu_time_millis_training: 1056.887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9164, f_measure: 0.8583, kappa: 0.6523, kb_relative_information_score: 15393.306, mean_absolute_error: 0.2371, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8581, predictive_accuracy: 0.8586, prior_entropy: 0.863, recall: 0.8586, relative_absolute_error: 0.5811, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3325, root_relative_squared_error: 0.736, scimark_benchmark: 1820.3729, usercpu_time_millis: 217.901, usercpu_time_millis_testing: 4.503, usercpu_time_millis_training: 213.398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9426, f_measure: 0.8663, kappa: 0.6734, kb_relative_information_score: 16944.616, mean_absolute_error: 0.214, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8668, predictive_accuracy: 0.8659, prior_entropy: 0.863, recall: 0.8659, relative_absolute_error: 0.5244, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3088, root_relative_squared_error: 0.6837, scimark_benchmark: 1848.7762, usercpu_time_millis: 365.714, usercpu_time_millis_testing: 5.838, usercpu_time_millis_training: 359.876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9662, kappa: 0.917, kb_relative_information_score: 29413.8168, mean_absolute_error: 0.0635, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9661, predictive_accuracy: 0.9662, prior_entropy: 0.863, recall: 0.9662, relative_absolute_error: 0.1556, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1634, root_relative_squared_error: 0.3617, scimark_benchmark: 1352.4737, usercpu_time_millis: 3400.275, usercpu_time_millis_testing: 13.063, usercpu_time_millis_training: 3387.212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.9661, kappa: 0.9169, kb_relative_information_score: 29345.54, mean_absolute_error: 0.0645, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9661, predictive_accuracy: 0.9662, prior_entropy: 0.863, recall: 0.9662, relative_absolute_error: 0.1581, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1646, root_relative_squared_error: 0.3643, scimark_benchmark: 1321.6954, usercpu_time_millis: 1660.764, usercpu_time_millis_testing: 6.144, usercpu_time_millis_training: 1654.62,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9686, kappa: 0.9229, kb_relative_information_score: 29811.4398, mean_absolute_error: 0.0589, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9686, predictive_accuracy: 0.9686, prior_entropy: 0.863, recall: 0.9686, relative_absolute_error: 0.1442, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1556, root_relative_squared_error: 0.3445, scimark_benchmark: 1350.902, usercpu_time_millis: 1444.81, usercpu_time_millis_testing: 13.866, usercpu_time_millis_training: 1430.944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.985, f_measure: 0.94, kappa: 0.8518, kb_relative_information_score: 25900.8846, mean_absolute_error: 0.1065, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9401, predictive_accuracy: 0.9406, prior_entropy: 0.863, recall: 0.9406, relative_absolute_error: 0.261, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2114, root_relative_squared_error: 0.4679, scimark_benchmark: 1351.8481, usercpu_time_millis: 1914.442, usercpu_time_millis_testing: 18.785, usercpu_time_millis_training: 1895.657,

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