Task
Supervised Classification on visualizing_galaxy

Supervised Classification on visualizing_galaxy

Task 3788 Supervised Classification visualizing_galaxy 623 runs submitted
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  • mythbusting_1 study_1 study_107 study_123 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9524, f_measure: 0.935, kappa: 0.869, kb_relative_information_score: 277.4136, mean_absolute_error: 0.0713, mean_prior_absolute_error: 0.4965, number_of_instances: 323, precision: 0.935, predictive_accuracy: 0.935, prior_entropy: 0.995, recall: 0.935, relative_absolute_error: 0.1435, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.2455, root_relative_squared_error: 0.4928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8135, f_measure: 0.824, kappa: 0.6456, kb_relative_information_score: 169.0829, mean_absolute_error: 0.2521, mean_prior_absolute_error: 0.4965, number_of_instances: 323, precision: 0.8344, predictive_accuracy: 0.8266, prior_entropy: 0.995, recall: 0.8266, relative_absolute_error: 0.5078, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.369, root_relative_squared_error: 0.7405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9504, kappa: 0.9001, kb_relative_information_score: 272.7673, mean_absolute_error: 0.0836, mean_prior_absolute_error: 0.4965, number_of_instances: 323, precision: 0.9505, predictive_accuracy: 0.9505, prior_entropy: 0.995, recall: 0.9505, relative_absolute_error: 0.1683, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.1864, root_relative_squared_error: 0.3741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9564, f_measure: 0.9567, kappa: 0.9127, kb_relative_information_score: 294.6991, mean_absolute_error: 0.0433, mean_prior_absolute_error: 0.4965, number_of_instances: 323, precision: 0.9567, predictive_accuracy: 0.9567, prior_entropy: 0.995, recall: 0.9567, relative_absolute_error: 0.0873, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.2082, root_relative_squared_error: 0.4178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9566, kappa: 0.9126, kb_relative_information_score: 279.0615, mean_absolute_error: 0.0728, mean_prior_absolute_error: 0.4965, number_of_instances: 323, precision: 0.9567, predictive_accuracy: 0.9567, prior_entropy: 0.995, recall: 0.9567, relative_absolute_error: 0.1467, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.176, root_relative_squared_error: 0.3532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9597, kappa: 0.9188, kb_relative_information_score: 267.3511, mean_absolute_error: 0.0938, mean_prior_absolute_error: 0.4965, number_of_instances: 323, precision: 0.9598, predictive_accuracy: 0.9598, prior_entropy: 0.995, recall: 0.9598, relative_absolute_error: 0.1889, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.1984, root_relative_squared_error: 0.3981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9603, f_measure: 0.9351, kappa: 0.8694, kb_relative_information_score: 268.1416, mean_absolute_error: 0.0905, mean_prior_absolute_error: 0.4965, number_of_instances: 323, precision: 0.9356, predictive_accuracy: 0.935, prior_entropy: 0.995, recall: 0.935, relative_absolute_error: 0.1822, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.2421, root_relative_squared_error: 0.486,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.941, kappa: 0.881, kb_relative_information_score: 229.2493, mean_absolute_error: 0.1589, mean_prior_absolute_error: 0.4965, number_of_instances: 323, precision: 0.9423, predictive_accuracy: 0.9412, prior_entropy: 0.995, recall: 0.9412, relative_absolute_error: 0.3201, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.2407, root_relative_squared_error: 0.483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9317, kappa: 0.8622, kb_relative_information_score: 221.6044, mean_absolute_error: 0.1711, mean_prior_absolute_error: 0.4965, number_of_instances: 323, precision: 0.9327, predictive_accuracy: 0.9319, prior_entropy: 0.995, recall: 0.9319, relative_absolute_error: 0.3445, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.2525, root_relative_squared_error: 0.5068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9411, kappa: 0.8812, kb_relative_information_score: 279.5994, mean_absolute_error: 0.0685, mean_prior_absolute_error: 0.4965, number_of_instances: 323, precision: 0.9415, predictive_accuracy: 0.9412, prior_entropy: 0.995, recall: 0.9412, relative_absolute_error: 0.1379, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.2175, root_relative_squared_error: 0.4366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9787, f_measure: 0.9319, kappa: 0.8627, kb_relative_information_score: 273.9332, mean_absolute_error: 0.0792, mean_prior_absolute_error: 0.4965, number_of_instances: 323, precision: 0.9319, predictive_accuracy: 0.9319, prior_entropy: 0.995, recall: 0.9319, relative_absolute_error: 0.1596, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.209, root_relative_squared_error: 0.4195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.943, f_measure: 0.9474, kappa: 0.8942, kb_relative_information_score: 277.7088, mean_absolute_error: 0.0756, mean_prior_absolute_error: 0.4965, number_of_instances: 323, precision: 0.9476, predictive_accuracy: 0.9474, prior_entropy: 0.995, recall: 0.9474, relative_absolute_error: 0.1523, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.2256, root_relative_squared_error: 0.4527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9707, f_measure: 0.9598, kappa: 0.9191, kb_relative_information_score: 295.6057, mean_absolute_error: 0.0424, mean_prior_absolute_error: 0.4965, number_of_instances: 323, precision: 0.96, predictive_accuracy: 0.9598, prior_entropy: 0.995, recall: 0.9598, relative_absolute_error: 0.0854, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.2011, root_relative_squared_error: 0.4036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9442, kappa: 0.8875, kb_relative_information_score: 285.188, mean_absolute_error: 0.06, mean_prior_absolute_error: 0.4965, number_of_instances: 323, precision: 0.9444, predictive_accuracy: 0.9443, prior_entropy: 0.995, recall: 0.9443, relative_absolute_error: 0.1209, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.2008, root_relative_squared_error: 0.4031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9535, kappa: 0.9062, kb_relative_information_score: 258.8637, mean_absolute_error: 0.1106, mean_prior_absolute_error: 0.4965, number_of_instances: 323, precision: 0.9539, predictive_accuracy: 0.9536, prior_entropy: 0.995, recall: 0.9536, relative_absolute_error: 0.2228, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.1958, root_relative_squared_error: 0.3929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9535, kappa: 0.9063, kb_relative_information_score: 280.6374, mean_absolute_error: 0.0687, mean_prior_absolute_error: 0.4965, number_of_instances: 323, precision: 0.9536, predictive_accuracy: 0.9536, prior_entropy: 0.995, recall: 0.9536, relative_absolute_error: 0.1384, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.1923, root_relative_squared_error: 0.3859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9442, kappa: 0.8876, kb_relative_information_score: 218.6716, mean_absolute_error: 0.1764, mean_prior_absolute_error: 0.4965, number_of_instances: 323, precision: 0.9443, predictive_accuracy: 0.9443, prior_entropy: 0.995, recall: 0.9443, relative_absolute_error: 0.3553, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.255, root_relative_squared_error: 0.5117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9567, kappa: 0.9128, kb_relative_information_score: 284.1894, mean_absolute_error: 0.063, mean_prior_absolute_error: 0.4965, number_of_instances: 323, precision: 0.9568, predictive_accuracy: 0.9567, prior_entropy: 0.995, recall: 0.9567, relative_absolute_error: 0.1268, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.1793, root_relative_squared_error: 0.3599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9381, kappa: 0.8753, kb_relative_information_score: 222.7854, mean_absolute_error: 0.1697, mean_prior_absolute_error: 0.4965, number_of_instances: 323, precision: 0.9381, predictive_accuracy: 0.9381, prior_entropy: 0.995, recall: 0.9381, relative_absolute_error: 0.3419, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.2494, root_relative_squared_error: 0.5006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9664, f_measure: 0.9121, kappa: 0.823, kb_relative_information_score: 267.7118, mean_absolute_error: 0.0858, mean_prior_absolute_error: 0.4965, number_of_instances: 323, precision: 0.9235, predictive_accuracy: 0.9133, prior_entropy: 0.995, recall: 0.9133, relative_absolute_error: 0.1727, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.2482, root_relative_squared_error: 0.498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9838, f_measure: 0.935, kappa: 0.8691, kb_relative_information_score: 274.3828, mean_absolute_error: 0.0774, mean_prior_absolute_error: 0.4965, number_of_instances: 323, precision: 0.935, predictive_accuracy: 0.935, prior_entropy: 0.995, recall: 0.935, relative_absolute_error: 0.1559, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.2147, root_relative_squared_error: 0.431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9567, kappa: 0.9127, kb_relative_information_score: 232.482, mean_absolute_error: 0.1628, mean_prior_absolute_error: 0.4965, number_of_instances: 323, precision: 0.9567, predictive_accuracy: 0.9567, prior_entropy: 0.995, recall: 0.9567, relative_absolute_error: 0.3279, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.2171, root_relative_squared_error: 0.4356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4874, f_measure: 0.3808, kb_relative_information_score: -0.0403, mean_absolute_error: 0.4966, mean_prior_absolute_error: 0.4965, number_of_instances: 323, precision: 0.2935, predictive_accuracy: 0.5418, prior_entropy: 0.995, recall: 0.5418, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.4983, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.938, kappa: 0.8752, kb_relative_information_score: 276.0608, mean_absolute_error: 0.0743, mean_prior_absolute_error: 0.4965, number_of_instances: 323, precision: 0.9381, predictive_accuracy: 0.9381, prior_entropy: 0.995, recall: 0.9381, relative_absolute_error: 0.1496, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.203, root_relative_squared_error: 0.4075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9804, f_measure: 0.9319, kappa: 0.8628, kb_relative_information_score: 275.3086, mean_absolute_error: 0.0749, mean_prior_absolute_error: 0.4965, number_of_instances: 323, precision: 0.9319, predictive_accuracy: 0.9319, prior_entropy: 0.995, recall: 0.9319, relative_absolute_error: 0.1508, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.2117, root_relative_squared_error: 0.4249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9474, kappa: 0.8942, kb_relative_information_score: 281.6049, mean_absolute_error: 0.0656, mean_prior_absolute_error: 0.4965, number_of_instances: 323, precision: 0.9476, predictive_accuracy: 0.9474, prior_entropy: 0.995, recall: 0.9474, relative_absolute_error: 0.1321, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.1872, root_relative_squared_error: 0.3757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9502, f_measure: 0.8945, kappa: 0.7871, kb_relative_information_score: 224.5301, mean_absolute_error: 0.1612, mean_prior_absolute_error: 0.4965, number_of_instances: 323, precision: 0.8953, predictive_accuracy: 0.8947, prior_entropy: 0.995, recall: 0.8947, relative_absolute_error: 0.3246, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.2941, root_relative_squared_error: 0.5902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9713, f_measure: 0.9443, kappa: 0.8879, kb_relative_information_score: 278.2855, mean_absolute_error: 0.0729, mean_prior_absolute_error: 0.4965, number_of_instances: 323, precision: 0.9444, predictive_accuracy: 0.9443, prior_entropy: 0.995, recall: 0.9443, relative_absolute_error: 0.1467, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.2265, root_relative_squared_error: 0.4546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9348, kappa: 0.8686, kb_relative_information_score: 221.7093, mean_absolute_error: 0.171, mean_prior_absolute_error: 0.4965, number_of_instances: 323, precision: 0.9356, predictive_accuracy: 0.935, prior_entropy: 0.995, recall: 0.935, relative_absolute_error: 0.3443, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.2523, root_relative_squared_error: 0.5063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.9534, kappa: 0.9059, kb_relative_information_score: 278.5804, mean_absolute_error: 0.0735, mean_prior_absolute_error: 0.4965, number_of_instances: 323, precision: 0.9554, predictive_accuracy: 0.9536, prior_entropy: 0.995, recall: 0.9536, relative_absolute_error: 0.1479, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.195, root_relative_squared_error: 0.3914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.938, kappa: 0.8752, kb_relative_information_score: 277.7866, mean_absolute_error: 0.0713, mean_prior_absolute_error: 0.4965, number_of_instances: 323, precision: 0.9381, predictive_accuracy: 0.9381, prior_entropy: 0.995, recall: 0.9381, relative_absolute_error: 0.1436, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.2018, root_relative_squared_error: 0.405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.944, kappa: 0.8871, kb_relative_information_score: 222.884, mean_absolute_error: 0.1692, mean_prior_absolute_error: 0.4965, number_of_instances: 323, precision: 0.9464, predictive_accuracy: 0.9443, prior_entropy: 0.995, recall: 0.9443, relative_absolute_error: 0.3407, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.251, root_relative_squared_error: 0.5038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9436, f_measure: 0.9471, kappa: 0.8933, kb_relative_information_score: 288.6389, mean_absolute_error: 0.0526, mean_prior_absolute_error: 0.4965, number_of_instances: 323, precision: 0.95, predictive_accuracy: 0.9474, prior_entropy: 0.995, recall: 0.9474, relative_absolute_error: 0.106, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.2294, root_relative_squared_error: 0.4604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9233, f_measure: 0.9282, kappa: 0.8551, kb_relative_information_score: 276.5186, mean_absolute_error: 0.0712, mean_prior_absolute_error: 0.4965, number_of_instances: 323, precision: 0.9342, predictive_accuracy: 0.9288, prior_entropy: 0.995, recall: 0.9288, relative_absolute_error: 0.1434, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.2668, root_relative_squared_error: 0.5356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9465, f_measure: 0.9502, kappa: 0.8995, kb_relative_information_score: 290.659, mean_absolute_error: 0.0495, mean_prior_absolute_error: 0.4965, number_of_instances: 323, precision: 0.9536, predictive_accuracy: 0.9505, prior_entropy: 0.995, recall: 0.9505, relative_absolute_error: 0.0998, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.2226, root_relative_squared_error: 0.4467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9713, f_measure: 0.9443, kappa: 0.8879, kb_relative_information_score: 278.2855, mean_absolute_error: 0.0729, mean_prior_absolute_error: 0.4965, number_of_instances: 323, precision: 0.9444, predictive_accuracy: 0.9443, prior_entropy: 0.995, recall: 0.9443, relative_absolute_error: 0.1467, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.2265, root_relative_squared_error: 0.4546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9348, kappa: 0.8684, kb_relative_information_score: 221.8634, mean_absolute_error: 0.1708, mean_prior_absolute_error: 0.4965, number_of_instances: 323, precision: 0.9361, predictive_accuracy: 0.935, prior_entropy: 0.995, recall: 0.935, relative_absolute_error: 0.3439, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.2521, root_relative_squared_error: 0.5061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9348, kappa: 0.8684, kb_relative_information_score: 221.8634, mean_absolute_error: 0.1708, mean_prior_absolute_error: 0.4965, number_of_instances: 323, precision: 0.9361, predictive_accuracy: 0.935, prior_entropy: 0.995, recall: 0.935, relative_absolute_error: 0.3439, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.2521, root_relative_squared_error: 0.5061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.953, f_measure: 0.9257, kappa: 0.8502, kb_relative_information_score: 211.5755, mean_absolute_error: 0.1919, mean_prior_absolute_error: 0.4965, number_of_instances: 323, precision: 0.9257, predictive_accuracy: 0.9257, prior_entropy: 0.995, recall: 0.9257, relative_absolute_error: 0.3865, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.2793, root_relative_squared_error: 0.5605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9774, f_measure: 0.9411, kappa: 0.8813, kb_relative_information_score: 278.1756, mean_absolute_error: 0.0715, mean_prior_absolute_error: 0.4965, number_of_instances: 323, precision: 0.9412, predictive_accuracy: 0.9412, prior_entropy: 0.995, recall: 0.9412, relative_absolute_error: 0.144, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.2048, root_relative_squared_error: 0.4111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9325, f_measure: 0.9319, kappa: 0.8631, kb_relative_information_score: 278.5386, mean_absolute_error: 0.0681, mean_prior_absolute_error: 0.4965, number_of_instances: 323, precision: 0.9323, predictive_accuracy: 0.9319, prior_entropy: 0.995, recall: 0.9319, relative_absolute_error: 0.1372, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.261, root_relative_squared_error: 0.5238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6466, f_measure: 0.6509, kappa: 0.2957, kb_relative_information_score: 96.7332, mean_absolute_error: 0.3467, mean_prior_absolute_error: 0.4965, number_of_instances: 323, precision: 0.6518, predictive_accuracy: 0.6533, prior_entropy: 0.995, recall: 0.6533, relative_absolute_error: 0.6983, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.5889, root_relative_squared_error: 1.1818, scimark_benchmark: 1280.301, usercpu_time_millis: 3734.375, usercpu_time_millis_training: 3734.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9626, f_measure: 0.9628, kappa: 0.9252, kb_relative_information_score: 298.7392, mean_absolute_error: 0.0372, mean_prior_absolute_error: 0.4965, number_of_instances: 323, precision: 0.9628, predictive_accuracy: 0.9628, prior_entropy: 0.995, recall: 0.9628, relative_absolute_error: 0.0748, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.1927, root_relative_squared_error: 0.3868, scimark_benchmark: 1280.301, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4816, f_measure: 0.4722, kappa: -0.038, kb_relative_information_score: -2.2498, mean_absolute_error: 0.4985, mean_prior_absolute_error: 0.4965, number_of_instances: 323, precision: 0.4809, predictive_accuracy: 0.5015, prior_entropy: 0.995, recall: 0.5015, relative_absolute_error: 1.0039, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.706, root_relative_squared_error: 1.417, scimark_benchmark: 1461.2356,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.9536, kappa: 0.9065, kb_relative_information_score: 286.0671, mean_absolute_error: 0.0586, mean_prior_absolute_error: 0.4965, number_of_instances: 323, precision: 0.9536, predictive_accuracy: 0.9536, prior_entropy: 0.995, recall: 0.9536, relative_absolute_error: 0.118, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.203, root_relative_squared_error: 0.4073, scimark_benchmark: 1788.6668, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.949, f_measure: 0.935, kappa: 0.869, kb_relative_information_score: 268.2263, mean_absolute_error: 0.0901, mean_prior_absolute_error: 0.4965, number_of_instances: 323, precision: 0.935, predictive_accuracy: 0.935, prior_entropy: 0.995, recall: 0.935, relative_absolute_error: 0.1815, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.2458, root_relative_squared_error: 0.4934, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9598, kappa: 0.9192, kb_relative_information_score: 285.365, mean_absolute_error: 0.0633, mean_prior_absolute_error: 0.4965, number_of_instances: 323, precision: 0.9608, predictive_accuracy: 0.9598, prior_entropy: 0.995, recall: 0.9598, relative_absolute_error: 0.1275, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.1745, root_relative_squared_error: 0.3501, scimark_benchmark: 1788.6668, usercpu_time_millis: 62.5, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9566, kappa: 0.9126, kb_relative_information_score: 289.2994, mean_absolute_error: 0.0544, mean_prior_absolute_error: 0.4965, number_of_instances: 323, precision: 0.9567, predictive_accuracy: 0.9567, prior_entropy: 0.995, recall: 0.9567, relative_absolute_error: 0.1096, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.1685, root_relative_squared_error: 0.3381, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9363, f_measure: 0.9407, kappa: 0.8805, kb_relative_information_score: 284.5988, mean_absolute_error: 0.0588, mean_prior_absolute_error: 0.4965, number_of_instances: 323, precision: 0.9457, predictive_accuracy: 0.9412, prior_entropy: 0.995, recall: 0.9412, relative_absolute_error: 0.1185, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.2425, root_relative_squared_error: 0.4868, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9267, f_measure: 0.9313, kappa: 0.8615, kb_relative_information_score: 278.5386, mean_absolute_error: 0.0681, mean_prior_absolute_error: 0.4965, number_of_instances: 323, precision: 0.9368, predictive_accuracy: 0.9319, prior_entropy: 0.995, recall: 0.9319, relative_absolute_error: 0.1372, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.261, root_relative_squared_error: 0.5238, scimark_benchmark: 904.092, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.9597, kappa: 0.9189, kb_relative_information_score: 290.1385, mean_absolute_error: 0.0525, mean_prior_absolute_error: 0.4965, number_of_instances: 323, precision: 0.9597, predictive_accuracy: 0.9598, prior_entropy: 0.995, recall: 0.9598, relative_absolute_error: 0.1057, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.1703, root_relative_squared_error: 0.3419, scimark_benchmark: 939.8559, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9347, kappa: 0.8683, kb_relative_information_score: 263.2938, mean_absolute_error: 0.0987, mean_prior_absolute_error: 0.4965, number_of_instances: 323, precision: 0.9367, predictive_accuracy: 0.935, prior_entropy: 0.995, recall: 0.935, relative_absolute_error: 0.1988, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.2016, root_relative_squared_error: 0.4046, scimark_benchmark: 1447.2612, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.966, f_measure: 0.9316, kappa: 0.862, kb_relative_information_score: 281.895, mean_absolute_error: 0.0634, mean_prior_absolute_error: 0.4965, number_of_instances: 323, precision: 0.9339, predictive_accuracy: 0.9319, prior_entropy: 0.995, recall: 0.9319, relative_absolute_error: 0.1277, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.2117, root_relative_squared_error: 0.4248, scimark_benchmark: 1840.6094, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9699, f_measure: 0.9379, kappa: 0.8746, kb_relative_information_score: 282.8874, mean_absolute_error: 0.0619, mean_prior_absolute_error: 0.4965, number_of_instances: 323, precision: 0.9395, predictive_accuracy: 0.9381, prior_entropy: 0.995, recall: 0.9381, relative_absolute_error: 0.1246, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.2061, root_relative_squared_error: 0.4137, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9659, kappa: 0.9314, kb_relative_information_score: 281.1209, mean_absolute_error: 0.07, mean_prior_absolute_error: 0.4965, number_of_instances: 323, precision: 0.9659, predictive_accuracy: 0.9659, prior_entropy: 0.995, recall: 0.9659, relative_absolute_error: 0.1409, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.1757, root_relative_squared_error: 0.3526, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9802, f_measure: 0.938, kappa: 0.8752, kb_relative_information_score: 276.3843, mean_absolute_error: 0.0737, mean_prior_absolute_error: 0.4965, number_of_instances: 323, precision: 0.9381, predictive_accuracy: 0.9381, prior_entropy: 0.995, recall: 0.9381, relative_absolute_error: 0.1483, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.2099, root_relative_squared_error: 0.4213, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9474, kappa: 0.8942, kb_relative_information_score: 281.6049, mean_absolute_error: 0.0656, mean_prior_absolute_error: 0.4965, number_of_instances: 323, precision: 0.9476, predictive_accuracy: 0.9474, prior_entropy: 0.995, recall: 0.9474, relative_absolute_error: 0.1321, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.1872, root_relative_squared_error: 0.3757, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9382, f_measure: 0.9381, kappa: 0.8754, kb_relative_information_score: 282.5787, mean_absolute_error: 0.0619, mean_prior_absolute_error: 0.4965, number_of_instances: 323, precision: 0.9382, predictive_accuracy: 0.9381, prior_entropy: 0.995, recall: 0.9381, relative_absolute_error: 0.1247, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.2488, root_relative_squared_error: 0.4994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6004, f_measure: 0.6035, kappa: 0.201, kb_relative_information_score: 64.4122, mean_absolute_error: 0.3963, mean_prior_absolute_error: 0.4965, number_of_instances: 323, precision: 0.6033, predictive_accuracy: 0.6037, prior_entropy: 0.995, recall: 0.6037, relative_absolute_error: 0.7981, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.6295, root_relative_squared_error: 1.2634,

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