Task
Supervised Classification on nomao

Supervised Classification on nomao

Task 145854 Supervised Classification nomao 32334 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9123, f_measure: 0.858, kappa: 0.6509, kb_relative_information_score: 14809.5611, mean_absolute_error: 0.2458, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8576, predictive_accuracy: 0.8585, prior_entropy: 0.863, recall: 0.8585, relative_absolute_error: 0.6024, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3276, root_relative_squared_error: 0.7252, scimark_benchmark: 1782.2017, usercpu_time_millis: 4.512, usercpu_time_millis_testing: 0.33, usercpu_time_millis_training: 4.182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9649, kappa: 0.9138, kb_relative_information_score: 30081.2359, mean_absolute_error: 0.053, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9648, predictive_accuracy: 0.9649, prior_entropy: 0.863, recall: 0.9649, relative_absolute_error: 0.1298, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1643, root_relative_squared_error: 0.3638, scimark_benchmark: 1855.4813, usercpu_time_millis: 1945.091, usercpu_time_millis_testing: 3.995, usercpu_time_millis_training: 1941.096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.9405, kappa: 0.8533, kb_relative_information_score: 26127.2714, mean_absolute_error: 0.1025, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9405, predictive_accuracy: 0.941, prior_entropy: 0.863, recall: 0.941, relative_absolute_error: 0.2511, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2117, root_relative_squared_error: 0.4686, scimark_benchmark: 1760.1722, usercpu_time_millis: 1393.774, usercpu_time_millis_testing: 9.639, usercpu_time_millis_training: 1384.135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9738, f_measure: 0.9153, kappa: 0.7867, kb_relative_information_score: 24331.656, mean_absolute_error: 0.1233, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9208, predictive_accuracy: 0.9184, prior_entropy: 0.863, recall: 0.9184, relative_absolute_error: 0.3022, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2383, root_relative_squared_error: 0.5275, scimark_benchmark: 1851.3986, usercpu_time_millis: 1197.809, usercpu_time_millis_testing: 4.912, usercpu_time_millis_training: 1192.897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9845, f_measure: 0.943, kappa: 0.8596, kb_relative_information_score: 26454.517, mean_absolute_error: 0.098, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9429, predictive_accuracy: 0.9433, prior_entropy: 0.863, recall: 0.9433, relative_absolute_error: 0.24, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2091, root_relative_squared_error: 0.463, scimark_benchmark: 1855.0232, usercpu_time_millis: 1045.921, usercpu_time_millis_testing: 4.042, usercpu_time_millis_training: 1041.879,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9593, kappa: 0.9, kb_relative_information_score: 28460.5762, mean_absolute_error: 0.0751, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9592, predictive_accuracy: 0.9593, prior_entropy: 0.863, recall: 0.9593, relative_absolute_error: 0.1841, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1778, root_relative_squared_error: 0.3936, scimark_benchmark: 1741.6122, usercpu_time_millis: 1014.969, usercpu_time_millis_testing: 9.12, usercpu_time_millis_training: 1005.849,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.9437, kappa: 0.8611, kb_relative_information_score: 26408.3757, mean_absolute_error: 0.0997, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9437, predictive_accuracy: 0.9441, prior_entropy: 0.863, recall: 0.9441, relative_absolute_error: 0.2442, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.208, root_relative_squared_error: 0.4604, scimark_benchmark: 1744.051, usercpu_time_millis: 944.078, usercpu_time_millis_testing: 11.66, usercpu_time_millis_training: 932.418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, f_measure: 0.9245, kappa: 0.811, kb_relative_information_score: 24808.6619, mean_absolute_error: 0.1183, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9273, predictive_accuracy: 0.9265, prior_entropy: 0.863, recall: 0.9265, relative_absolute_error: 0.29, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2289, root_relative_squared_error: 0.5067, scimark_benchmark: 1744.051, usercpu_time_millis: 935.783, usercpu_time_millis_testing: 4.859, usercpu_time_millis_training: 930.924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9482, kappa: 0.8728, kb_relative_information_score: 27105.8505, mean_absolute_error: 0.0907, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9481, predictive_accuracy: 0.9483, prior_entropy: 0.863, recall: 0.9483, relative_absolute_error: 0.2223, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2006, root_relative_squared_error: 0.4441, scimark_benchmark: 1857.7641, usercpu_time_millis: 302.868, usercpu_time_millis_testing: 1.066, usercpu_time_millis_training: 301.802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8573, f_measure: 0.8582, kappa: 0.655, kb_relative_information_score: 15539.1844, mean_absolute_error: 0.2345, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8595, predictive_accuracy: 0.8572, prior_entropy: 0.863, recall: 0.8572, relative_absolute_error: 0.5746, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3351, root_relative_squared_error: 0.7418, scimark_benchmark: 1774.4192, usercpu_time_millis: 242.13, usercpu_time_millis_testing: 3.767, usercpu_time_millis_training: 238.363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: 0.6528, 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: 1736.9781, usercpu_time_millis: 27.042, usercpu_time_millis_testing: 3.812, usercpu_time_millis_training: 23.23,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.5954, kb_relative_information_score: -2.5387, mean_absolute_error: 0.408, 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: 1747.2702, usercpu_time_millis: 15.209, usercpu_time_millis_testing: 0.795, usercpu_time_millis_training: 14.414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9837, f_measure: 0.9461, kappa: 0.8677, kb_relative_information_score: 27324.8428, mean_absolute_error: 0.0864, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.946, predictive_accuracy: 0.9461, prior_entropy: 0.863, recall: 0.9461, relative_absolute_error: 0.2116, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2041, root_relative_squared_error: 0.4519, scimark_benchmark: 1740.6959, usercpu_time_millis: 10.443, usercpu_time_millis_testing: 0.317, usercpu_time_millis_training: 10.126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.9325, kappa: 0.8323, kb_relative_information_score: 25192.6236, mean_absolute_error: 0.1138, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9334, predictive_accuracy: 0.9336, prior_entropy: 0.863, recall: 0.9336, relative_absolute_error: 0.2789, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2244, root_relative_squared_error: 0.4969, scimark_benchmark: 1740.9178, usercpu_time_millis: 2008.922, usercpu_time_millis_testing: 11.066, usercpu_time_millis_training: 1997.856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9529, kappa: 0.8843, kb_relative_information_score: 27749.6035, mean_absolute_error: 0.0832, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9528, predictive_accuracy: 0.9529, prior_entropy: 0.863, recall: 0.9529, relative_absolute_error: 0.2038, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1912, root_relative_squared_error: 0.4233, scimark_benchmark: 1853.454, usercpu_time_millis: 1954.011, usercpu_time_millis_testing: 6.843, usercpu_time_millis_training: 1947.168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9743, f_measure: 0.9153, kappa: 0.7869, kb_relative_information_score: 24410.6591, mean_absolute_error: 0.122, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9206, predictive_accuracy: 0.9184, prior_entropy: 0.863, recall: 0.9184, relative_absolute_error: 0.2989, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2374, root_relative_squared_error: 0.5255, scimark_benchmark: 1738.4541, usercpu_time_millis: 1774.362, usercpu_time_millis_testing: 5.507, usercpu_time_millis_training: 1768.855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9638, kappa: 0.9113, kb_relative_information_score: 29109.8556, mean_absolute_error: 0.0671, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9638, predictive_accuracy: 0.9639, prior_entropy: 0.863, recall: 0.9639, relative_absolute_error: 0.1643, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1679, root_relative_squared_error: 0.3716, scimark_benchmark: 1738.226, usercpu_time_millis: 1401.113, usercpu_time_millis_testing: 11.648, usercpu_time_millis_training: 1389.465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9553, kappa: 0.8903, kb_relative_information_score: 27895.617, mean_absolute_error: 0.0819, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9552, predictive_accuracy: 0.9553, prior_entropy: 0.863, recall: 0.9553, relative_absolute_error: 0.2007, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1864, root_relative_squared_error: 0.4127, scimark_benchmark: 1819.1987, usercpu_time_millis: 1140.567, usercpu_time_millis_testing: 13.38, usercpu_time_millis_training: 1127.187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9707, f_measure: 0.9107, kappa: 0.7782, kb_relative_information_score: 21823.1446, mean_absolute_error: 0.1597, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9109, predictive_accuracy: 0.912, prior_entropy: 0.863, recall: 0.912, relative_absolute_error: 0.3912, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2557, root_relative_squared_error: 0.5661, scimark_benchmark: 1814.2448, usercpu_time_millis: 765.001, usercpu_time_millis_testing: 4.953, usercpu_time_millis_training: 760.048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9611, kappa: 0.9044, kb_relative_information_score: 28628.441, mean_absolute_error: 0.0734, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.961, predictive_accuracy: 0.9611, prior_entropy: 0.863, recall: 0.9611, relative_absolute_error: 0.1798, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.175, root_relative_squared_error: 0.3873, scimark_benchmark: 1809.2646, usercpu_time_millis: 690.448, usercpu_time_millis_testing: 8.227, usercpu_time_millis_training: 682.221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.9408, kappa: 0.8535, kb_relative_information_score: 25625.8434, mean_absolute_error: 0.1117, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.941, predictive_accuracy: 0.9414, prior_entropy: 0.863, recall: 0.9414, relative_absolute_error: 0.2737, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2109, root_relative_squared_error: 0.4668, scimark_benchmark: 1735.1328, usercpu_time_millis: 656.391, usercpu_time_millis_testing: 14.489, usercpu_time_millis_training: 641.902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9606, kappa: 0.9031, kb_relative_information_score: 28327.2428, mean_absolute_error: 0.0779, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9605, predictive_accuracy: 0.9607, prior_entropy: 0.863, recall: 0.9607, relative_absolute_error: 0.1908, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1759, root_relative_squared_error: 0.3893, scimark_benchmark: 1744.7138, usercpu_time_millis: 353.084, usercpu_time_millis_testing: 8.441, usercpu_time_millis_training: 344.643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.9233, kappa: 0.8079, kb_relative_information_score: 24713.0499, mean_absolute_error: 0.1204, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9263, predictive_accuracy: 0.9254, prior_entropy: 0.863, recall: 0.9254, relative_absolute_error: 0.2949, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.229, root_relative_squared_error: 0.5069, scimark_benchmark: 1856.0093, usercpu_time_millis: 151.52, usercpu_time_millis_testing: 1.328, usercpu_time_millis_training: 150.192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9626, kappa: 0.908, kb_relative_information_score: 28401.7749, mean_absolute_error: 0.0778, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9625, predictive_accuracy: 0.9627, prior_entropy: 0.863, recall: 0.9627, relative_absolute_error: 0.1906, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1725, root_relative_squared_error: 0.382, scimark_benchmark: 1761.2932, usercpu_time_millis: 112.353, usercpu_time_millis_testing: 4.493, usercpu_time_millis_training: 107.86,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9335, f_measure: 0.86, kappa: 0.6557, kb_relative_information_score: 14819.3425, mean_absolute_error: 0.246, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8596, predictive_accuracy: 0.8606, prior_entropy: 0.863, recall: 0.8606, relative_absolute_error: 0.6029, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3262, root_relative_squared_error: 0.7221, scimark_benchmark: 1732.8983, usercpu_time_millis: 32.629, usercpu_time_millis_testing: 0.997, usercpu_time_millis_training: 31.632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -5.6802, 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: 1733.7613, usercpu_time_millis: 32.094, usercpu_time_millis_testing: 5.296, usercpu_time_millis_training: 26.798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8676, f_measure: 0.8582, kappa: 0.6533, kb_relative_information_score: 15520.61, mean_absolute_error: 0.2351, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8585, predictive_accuracy: 0.858, prior_entropy: 0.863, recall: 0.858, relative_absolute_error: 0.5761, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3337, root_relative_squared_error: 0.7386, scimark_benchmark: 1736.9559, usercpu_time_millis: 22.794, usercpu_time_millis_testing: 0.698, usercpu_time_millis_training: 22.096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.967, kappa: 0.9189, kb_relative_information_score: 29718.0031, mean_absolute_error: 0.0594, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9669, predictive_accuracy: 0.967, prior_entropy: 0.863, recall: 0.967, relative_absolute_error: 0.1456, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1611, root_relative_squared_error: 0.3566, scimark_benchmark: 1851.9295, usercpu_time_millis: 2540.748, usercpu_time_millis_testing: 7.879, usercpu_time_millis_training: 2532.869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.9369, kappa: 0.8435, kb_relative_information_score: 25963.0943, mean_absolute_error: 0.1039, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9372, predictive_accuracy: 0.9376, prior_entropy: 0.863, recall: 0.9376, relative_absolute_error: 0.2546, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2153, root_relative_squared_error: 0.4766, scimark_benchmark: 1815.7969, usercpu_time_millis: 2434.172, usercpu_time_millis_testing: 12.031, usercpu_time_millis_training: 2422.141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9558, kappa: 0.8917, kb_relative_information_score: 27983.5812, mean_absolute_error: 0.0806, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9558, predictive_accuracy: 0.9559, prior_entropy: 0.863, recall: 0.9559, relative_absolute_error: 0.1976, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1853, root_relative_squared_error: 0.4103, scimark_benchmark: 1812.3516, usercpu_time_millis: 2186.686, usercpu_time_millis_testing: 14.397, usercpu_time_millis_training: 2172.289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9521, f_measure: 0.9007, kappa: 0.7546, kb_relative_information_score: 19769.2389, mean_absolute_error: 0.179, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9004, predictive_accuracy: 0.9016, prior_entropy: 0.863, recall: 0.9016, relative_absolute_error: 0.4386, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2794, root_relative_squared_error: 0.6185, scimark_benchmark: 1825.7906, usercpu_time_millis: 2153.16, usercpu_time_millis_testing: 8.617, usercpu_time_millis_training: 2144.543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9484, kappa: 0.8732, kb_relative_information_score: 27015.5403, mean_absolute_error: 0.0921, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9483, predictive_accuracy: 0.9484, prior_entropy: 0.863, recall: 0.9484, relative_absolute_error: 0.2257, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2004, root_relative_squared_error: 0.4437, scimark_benchmark: 1846.3057, usercpu_time_millis: 1675.681, usercpu_time_millis_testing: 7.663, usercpu_time_millis_training: 1668.018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.968, f_measure: 0.9133, kappa: 0.7821, kb_relative_information_score: 24088.3427, mean_absolute_error: 0.1248, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9174, predictive_accuracy: 0.9161, prior_entropy: 0.863, recall: 0.9161, relative_absolute_error: 0.3059, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2458, root_relative_squared_error: 0.5442, scimark_benchmark: 1821.8602, usercpu_time_millis: 1442.243, usercpu_time_millis_testing: 4.44, usercpu_time_millis_training: 1437.803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.9344, kappa: 0.8372, kb_relative_information_score: 25635.3479, mean_absolute_error: 0.1079, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9348, predictive_accuracy: 0.9352, prior_entropy: 0.863, recall: 0.9352, relative_absolute_error: 0.2644, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2198, root_relative_squared_error: 0.4866, scimark_benchmark: 1829.1442, usercpu_time_millis: 1233.11, usercpu_time_millis_testing: 5.064, usercpu_time_millis_training: 1228.046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.975, f_measure: 0.9155, kappa: 0.7873, kb_relative_information_score: 24376.968, mean_absolute_error: 0.1232, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9209, predictive_accuracy: 0.9186, prior_entropy: 0.863, recall: 0.9186, relative_absolute_error: 0.3018, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2366, root_relative_squared_error: 0.5238, scimark_benchmark: 1853.3841, usercpu_time_millis: 1092.293, usercpu_time_millis_testing: 7.75, usercpu_time_millis_training: 1084.543,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9794, f_measure: 0.922, kappa: 0.8044, kb_relative_information_score: 24729.0767, mean_absolute_error: 0.1196, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9257, predictive_accuracy: 0.9244, prior_entropy: 0.863, recall: 0.9244, relative_absolute_error: 0.2931, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2299, root_relative_squared_error: 0.509, scimark_benchmark: 1810.8437, usercpu_time_millis: 418.521, usercpu_time_millis_testing: 3.825, usercpu_time_millis_training: 414.696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9793, f_measure: 0.9178, kappa: 0.7936, kb_relative_information_score: 22988.939, mean_absolute_error: 0.1473, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9223, predictive_accuracy: 0.9206, prior_entropy: 0.863, recall: 0.9206, relative_absolute_error: 0.361, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2388, root_relative_squared_error: 0.5286, scimark_benchmark: 1798.4513, usercpu_time_millis: 402.537, usercpu_time_millis_testing: 4.756, usercpu_time_millis_training: 397.781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.9285, kappa: 0.8218, kb_relative_information_score: 22938.2661, mean_absolute_error: 0.1492, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9297, predictive_accuracy: 0.9298, prior_entropy: 0.863, recall: 0.9298, relative_absolute_error: 0.3657, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2341, root_relative_squared_error: 0.5182, scimark_benchmark: 1812.1581, usercpu_time_millis: 364.953, usercpu_time_millis_testing: 10.214, usercpu_time_millis_training: 354.739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9521, kappa: 0.8821, kb_relative_information_score: 26908.2651, mean_absolute_error: 0.0956, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.952, predictive_accuracy: 0.9523, prior_entropy: 0.863, recall: 0.9523, relative_absolute_error: 0.2342, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.195, root_relative_squared_error: 0.4317, scimark_benchmark: 1838.6903, usercpu_time_millis: 260.036, usercpu_time_millis_testing: 7.738, usercpu_time_millis_training: 252.298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9567, kappa: 0.8936, kb_relative_information_score: 27909.8637, mean_absolute_error: 0.0825, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9566, predictive_accuracy: 0.9568, prior_entropy: 0.863, recall: 0.9568, relative_absolute_error: 0.2022, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1841, root_relative_squared_error: 0.4075, scimark_benchmark: 1833.6075, usercpu_time_millis: 141.494, usercpu_time_millis_testing: 4.212, usercpu_time_millis_training: 137.282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.941, kappa: 0.8537, kb_relative_information_score: 22567.4395, mean_absolute_error: 0.1565, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9417, predictive_accuracy: 0.9419, prior_entropy: 0.863, recall: 0.9419, relative_absolute_error: 0.3836, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2325, root_relative_squared_error: 0.5147, scimark_benchmark: 1834.0615, usercpu_time_millis: 134.301, usercpu_time_millis_testing: 10.312, usercpu_time_millis_training: 123.989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9683, kappa: 0.9223, kb_relative_information_score: 29739.3498, mean_absolute_error: 0.0595, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9683, predictive_accuracy: 0.9684, prior_entropy: 0.863, recall: 0.9684, relative_absolute_error: 0.1458, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1589, root_relative_squared_error: 0.3518, scimark_benchmark: 1797.8187, usercpu_time_millis: 2105.057, usercpu_time_millis_testing: 8.116, usercpu_time_millis_training: 2096.941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -1.0163, 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: 1804.2985, usercpu_time_millis: 71.046, usercpu_time_millis_testing: 7.167, usercpu_time_millis_training: 63.879,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9845, f_measure: 0.9436, kappa: 0.8613, kb_relative_information_score: 26808.3887, mean_absolute_error: 0.0934, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9436, predictive_accuracy: 0.9439, prior_entropy: 0.863, recall: 0.9439, relative_absolute_error: 0.2289, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.207, root_relative_squared_error: 0.4583, scimark_benchmark: 1788.2425, usercpu_time_millis: 2059.603, usercpu_time_millis_testing: 6.172, usercpu_time_millis_training: 2053.431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -2.2881, 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: 1829.876, usercpu_time_millis: 22.209, usercpu_time_millis_testing: 1.764, usercpu_time_millis_training: 20.445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.9217, kappa: 0.8037, kb_relative_information_score: 24597.8607, mean_absolute_error: 0.1222, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9252, predictive_accuracy: 0.924, prior_entropy: 0.863, recall: 0.924, relative_absolute_error: 0.2994, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2296, root_relative_squared_error: 0.5083, scimark_benchmark: 1849.3014, usercpu_time_millis: 1372.927, usercpu_time_millis_testing: 8.837, usercpu_time_millis_training: 1364.09,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9164, kappa: 0.79, kb_relative_information_score: 23619.5167, mean_absolute_error: 0.1357, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9208, predictive_accuracy: 0.9192, prior_entropy: 0.863, recall: 0.9192, relative_absolute_error: 0.3324, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2378, root_relative_squared_error: 0.5264, scimark_benchmark: 1711.7794, usercpu_time_millis: 1272.179, usercpu_time_millis_testing: 10.421, usercpu_time_millis_training: 1261.758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9719, f_measure: 0.9144, kappa: 0.7849, kb_relative_information_score: 23842.961, mean_absolute_error: 0.1302, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9189, predictive_accuracy: 0.9173, prior_entropy: 0.863, recall: 0.9173, relative_absolute_error: 0.3189, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2402, root_relative_squared_error: 0.5318, scimark_benchmark: 1847.2753, usercpu_time_millis: 1118.705, usercpu_time_millis_testing: 5.153, usercpu_time_millis_training: 1113.552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9672, kappa: 0.9194, kb_relative_information_score: 29515.4965, mean_absolute_error: 0.0625, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9671, predictive_accuracy: 0.9672, prior_entropy: 0.863, recall: 0.9672, relative_absolute_error: 0.153, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1616, root_relative_squared_error: 0.3578, scimark_benchmark: 1845.3208, usercpu_time_millis: 1078.679, usercpu_time_millis_testing: 5.987, usercpu_time_millis_training: 1072.692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9634, f_measure: 0.9067, kappa: 0.7686, kb_relative_information_score: 20981.721, mean_absolute_error: 0.169, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9067, predictive_accuracy: 0.9079, prior_entropy: 0.863, recall: 0.9079, relative_absolute_error: 0.4142, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2673, root_relative_squared_error: 0.5918, scimark_benchmark: 1853.9849, usercpu_time_millis: 1052.808, usercpu_time_millis_testing: 7.704, usercpu_time_millis_training: 1045.104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9677, kappa: 0.9207, kb_relative_information_score: 29707.8697, mean_absolute_error: 0.0598, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9677, predictive_accuracy: 0.9677, prior_entropy: 0.863, recall: 0.9677, relative_absolute_error: 0.1466, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1597, root_relative_squared_error: 0.3535, scimark_benchmark: 1774.5325, usercpu_time_millis: 941.315, usercpu_time_millis_testing: 3.725, usercpu_time_millis_training: 937.59,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.9311, kappa: 0.8284, kb_relative_information_score: 24812.9345, mean_absolute_error: 0.1204, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9322, predictive_accuracy: 0.9323, prior_entropy: 0.863, recall: 0.9323, relative_absolute_error: 0.2951, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2251, root_relative_squared_error: 0.4983, scimark_benchmark: 1717.382, usercpu_time_millis: 749.51, usercpu_time_millis_testing: 13.695, usercpu_time_millis_training: 735.815,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9562, kappa: 0.8924, kb_relative_information_score: 27725.0254, mean_absolute_error: 0.0846, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9561, predictive_accuracy: 0.9562, prior_entropy: 0.863, recall: 0.9562, relative_absolute_error: 0.2072, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1861, root_relative_squared_error: 0.412, scimark_benchmark: 1796.2969, usercpu_time_millis: 503.291, usercpu_time_millis_testing: 8.483, usercpu_time_millis_training: 494.808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.957, kappa: 0.8943, kb_relative_information_score: 28108.8017, mean_absolute_error: 0.0794, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9569, predictive_accuracy: 0.9571, prior_entropy: 0.863, recall: 0.9571, relative_absolute_error: 0.1947, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.184, root_relative_squared_error: 0.4074, scimark_benchmark: 1785.1316, usercpu_time_millis: 412.291, usercpu_time_millis_testing: 3.029, usercpu_time_millis_training: 409.262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9808, f_measure: 0.9215, kappa: 0.803, kb_relative_information_score: 23816.2214, mean_absolute_error: 0.1353, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9251, predictive_accuracy: 0.9238, prior_entropy: 0.863, recall: 0.9238, relative_absolute_error: 0.3316, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2322, root_relative_squared_error: 0.5141, scimark_benchmark: 1794.2616, usercpu_time_millis: 280.885, usercpu_time_millis_testing: 12.375, usercpu_time_millis_training: 268.51,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.9279, kappa: 0.8188, kb_relative_information_score: 18992.2474, mean_absolute_error: 0.2078, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9324, predictive_accuracy: 0.9302, prior_entropy: 0.863, recall: 0.9302, relative_absolute_error: 0.5091, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2645, root_relative_squared_error: 0.5855, scimark_benchmark: 1716.4921, usercpu_time_millis: 223.991, usercpu_time_millis_testing: 18.432, usercpu_time_millis_training: 205.559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9593, kappa: 0.9, kb_relative_information_score: 28291.7612, mean_absolute_error: 0.0778, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9592, predictive_accuracy: 0.9594, prior_entropy: 0.863, recall: 0.9594, relative_absolute_error: 0.1907, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1778, root_relative_squared_error: 0.3936, scimark_benchmark: 1848.916, usercpu_time_millis: 71.848, usercpu_time_millis_testing: 1.434, usercpu_time_millis_training: 70.414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.975, f_measure: 0.917, kappa: 0.7914, kb_relative_information_score: 24005.9992, mean_absolute_error: 0.1294, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9214, predictive_accuracy: 0.9197, prior_entropy: 0.863, recall: 0.9197, relative_absolute_error: 0.3171, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2374, root_relative_squared_error: 0.5255, scimark_benchmark: 1847.2753, usercpu_time_millis: 48.923, usercpu_time_millis_testing: 0.482, usercpu_time_millis_training: 48.441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9576, kappa: 0.8958, kb_relative_information_score: 28320.0919, mean_absolute_error: 0.0767, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9575, predictive_accuracy: 0.9576, prior_entropy: 0.863, recall: 0.9576, relative_absolute_error: 0.1879, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1814, root_relative_squared_error: 0.4016, scimark_benchmark: 1853.3841, usercpu_time_millis: 42.434, usercpu_time_millis_testing: 0.661, usercpu_time_millis_training: 41.773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.9439, kappa: 0.8619, kb_relative_information_score: 26790.5265, mean_absolute_error: 0.0938, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9438, predictive_accuracy: 0.9442, prior_entropy: 0.863, recall: 0.9442, relative_absolute_error: 0.2299, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2064, root_relative_squared_error: 0.4569, scimark_benchmark: 1744.6649, usercpu_time_millis: 2398.995, usercpu_time_millis_testing: 7.684, usercpu_time_millis_training: 2391.311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9489, kappa: 0.8745, kb_relative_information_score: 26992.5924, mean_absolute_error: 0.0927, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9488, predictive_accuracy: 0.9489, prior_entropy: 0.863, recall: 0.9489, relative_absolute_error: 0.227, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1998, root_relative_squared_error: 0.4423, scimark_benchmark: 1779.6578, usercpu_time_millis: 1440.599, usercpu_time_millis_testing: 11.164, usercpu_time_millis_training: 1429.435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9748, f_measure: 0.9155, kappa: 0.7872, kb_relative_information_score: 24297.5458, mean_absolute_error: 0.1245, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.921, predictive_accuracy: 0.9186, prior_entropy: 0.863, recall: 0.9186, relative_absolute_error: 0.305, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2372, root_relative_squared_error: 0.5251, scimark_benchmark: 1839.4764, usercpu_time_millis: 762.352, usercpu_time_millis_testing: 3.581, usercpu_time_millis_training: 758.771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.9675, kappa: 0.9202, kb_relative_information_score: 29925.3508, mean_absolute_error: 0.0565, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9675, predictive_accuracy: 0.9675, prior_entropy: 0.863, recall: 0.9675, relative_absolute_error: 0.1385, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1595, root_relative_squared_error: 0.3531, scimark_benchmark: 1840.3077, usercpu_time_millis: 624.486, usercpu_time_millis_testing: 1.527, usercpu_time_millis_training: 622.959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, f_measure: 0.9389, kappa: 0.849, kb_relative_information_score: 26219.7722, mean_absolute_error: 0.1003, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.939, predictive_accuracy: 0.9395, prior_entropy: 0.863, recall: 0.9395, relative_absolute_error: 0.2458, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.213, root_relative_squared_error: 0.4716, scimark_benchmark: 1712.2633, usercpu_time_millis: 506.171, usercpu_time_millis_testing: 1.647, usercpu_time_millis_training: 504.524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9262, f_measure: 0.8658, kappa: 0.6748, kb_relative_information_score: 17501.6947, mean_absolute_error: 0.2044, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8679, predictive_accuracy: 0.8645, prior_entropy: 0.863, recall: 0.8645, relative_absolute_error: 0.5008, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.309, root_relative_squared_error: 0.6841, scimark_benchmark: 1810.4499, usercpu_time_millis: 420.79, usercpu_time_millis_testing: 4.338, usercpu_time_millis_training: 416.452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9611, kappa: 0.9043, kb_relative_information_score: 28533.3149, mean_absolute_error: 0.075, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.961, predictive_accuracy: 0.9611, prior_entropy: 0.863, recall: 0.9611, relative_absolute_error: 0.1837, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1747, root_relative_squared_error: 0.3867, scimark_benchmark: 1812.6604, usercpu_time_millis: 334.85, usercpu_time_millis_testing: 8.846, usercpu_time_millis_training: 326.004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9671, kappa: 0.9194, kb_relative_information_score: 29560.3458, mean_absolute_error: 0.062, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9671, predictive_accuracy: 0.9672, prior_entropy: 0.863, recall: 0.9672, relative_absolute_error: 0.152, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1597, root_relative_squared_error: 0.3536, scimark_benchmark: 1802.701, usercpu_time_millis: 263.233, usercpu_time_millis_testing: 2.75, usercpu_time_millis_training: 260.483,

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