Task
Supervised Classification on ilpd

Supervised Classification on ilpd

Task 9971 Supervised Classification ilpd 121649 runs submitted
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  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_50 study_7 study_98 study_99
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121649 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2414, mean_absolute_error: 0.2864, mean_prior_absolute_error: 0.4091, number_of_instances: 583, predictive_accuracy: 0.7136, prior_entropy: 0.8641, recall: 0.7136, relative_absolute_error: 0.7002, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.5352, root_relative_squared_error: 1.1838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5544, f_measure: 0.6632, kappa: 0.1358, kb_relative_information_score: 0.2505, mean_absolute_error: 0.283, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.675, predictive_accuracy: 0.717, prior_entropy: 0.8641, recall: 0.717, relative_absolute_error: 0.6918, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.532, root_relative_squared_error: 1.1767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5914, f_measure: 0.6851, kappa: 0.2011, kb_relative_information_score: 0.2141, mean_absolute_error: 0.2967, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6782, predictive_accuracy: 0.7033, prior_entropy: 0.8641, recall: 0.7033, relative_absolute_error: 0.7253, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.5447, root_relative_squared_error: 1.2049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5866, f_measure: 0.6819, kappa: 0.1917, kb_relative_information_score: 0.2096, mean_absolute_error: 0.2985, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6748, predictive_accuracy: 0.7015, prior_entropy: 0.8641, recall: 0.7015, relative_absolute_error: 0.7295, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.5463, root_relative_squared_error: 1.2084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5484, f_measure: 0.6574, kappa: 0.1213, kb_relative_information_score: 0.2414, mean_absolute_error: 0.2864, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6679, predictive_accuracy: 0.7136, prior_entropy: 0.8641, recall: 0.7136, relative_absolute_error: 0.7002, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.5352, root_relative_squared_error: 1.1838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.543, f_measure: 0.6521, kappa: 0.1076, kb_relative_information_score: 0.2278, mean_absolute_error: 0.2916, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6584, predictive_accuracy: 0.7084, prior_entropy: 0.8641, recall: 0.7084, relative_absolute_error: 0.7128, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.54, root_relative_squared_error: 1.1944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5514, f_measure: 0.6603, kappa: 0.1286, kb_relative_information_score: 0.2459, mean_absolute_error: 0.2847, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6715, predictive_accuracy: 0.7153, prior_entropy: 0.8641, recall: 0.7153, relative_absolute_error: 0.696, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.5336, root_relative_squared_error: 1.1803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5442, f_measure: 0.6533, kappa: 0.1108, kb_relative_information_score: 0.2323, mean_absolute_error: 0.2899, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6613, predictive_accuracy: 0.7101, prior_entropy: 0.8641, recall: 0.7101, relative_absolute_error: 0.7086, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.5384, root_relative_squared_error: 1.1909,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5412, f_measure: 0.6504, kappa: 0.1053, kb_relative_information_score: 0.2414, mean_absolute_error: 0.2864, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6654, predictive_accuracy: 0.7136, prior_entropy: 0.8641, recall: 0.7136, relative_absolute_error: 0.7002, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.5352, root_relative_squared_error: 1.1838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.574, f_measure: 0.6728, kappa: 0.1662, kb_relative_information_score: 0.196, mean_absolute_error: 0.3036, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6652, predictive_accuracy: 0.6964, prior_entropy: 0.8641, recall: 0.6964, relative_absolute_error: 0.7421, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.551, root_relative_squared_error: 1.2188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5298, f_measure: 0.6389, kappa: 0.0764, kb_relative_information_score: 0.2187, mean_absolute_error: 0.295, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6459, predictive_accuracy: 0.705, prior_entropy: 0.8641, recall: 0.705, relative_absolute_error: 0.7212, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.5432, root_relative_squared_error: 1.2014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5526, f_measure: 0.6615, kappa: 0.1319, kb_relative_information_score: 0.2505, mean_absolute_error: 0.283, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6746, predictive_accuracy: 0.717, prior_entropy: 0.8641, recall: 0.717, relative_absolute_error: 0.6918, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.532, root_relative_squared_error: 1.1767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5394, f_measure: 0.6487, kappa: 0.0995, kb_relative_information_score: 0.2278, mean_absolute_error: 0.2916, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6566, predictive_accuracy: 0.7084, prior_entropy: 0.8641, recall: 0.7084, relative_absolute_error: 0.7128, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.54, root_relative_squared_error: 1.1944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5472, f_measure: 0.6562, kappa: 0.1181, kb_relative_information_score: 0.2369, mean_absolute_error: 0.2882, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.665, predictive_accuracy: 0.7118, prior_entropy: 0.8641, recall: 0.7118, relative_absolute_error: 0.7044, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.5368, root_relative_squared_error: 1.1874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5866, f_measure: 0.6819, kappa: 0.1917, kb_relative_information_score: 0.2096, mean_absolute_error: 0.2985, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6748, predictive_accuracy: 0.7015, prior_entropy: 0.8641, recall: 0.7015, relative_absolute_error: 0.7295, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.5463, root_relative_squared_error: 1.2084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5902, f_measure: 0.6837, kappa: 0.198, kb_relative_information_score: 0.2096, mean_absolute_error: 0.2985, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6767, predictive_accuracy: 0.7015, prior_entropy: 0.8641, recall: 0.7015, relative_absolute_error: 0.7295, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.5463, root_relative_squared_error: 1.2084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5376, f_measure: 0.6469, kappa: 0.0954, kb_relative_information_score: 0.2278, mean_absolute_error: 0.2916, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6556, predictive_accuracy: 0.7084, prior_entropy: 0.8641, recall: 0.7084, relative_absolute_error: 0.7128, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.54, root_relative_squared_error: 1.1944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5794, f_measure: 0.6759, kappa: 0.1761, kb_relative_information_score: 0.196, mean_absolute_error: 0.3036, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6683, predictive_accuracy: 0.6964, prior_entropy: 0.8641, recall: 0.6964, relative_absolute_error: 0.7421, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.551, root_relative_squared_error: 1.2188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5806, f_measure: 0.6772, kappa: 0.1791, kb_relative_information_score: 0.2005, mean_absolute_error: 0.3019, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6698, predictive_accuracy: 0.6981, prior_entropy: 0.8641, recall: 0.6981, relative_absolute_error: 0.7379, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.5494, root_relative_squared_error: 1.2153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5866, f_measure: 0.6819, kappa: 0.1917, kb_relative_information_score: 0.2096, mean_absolute_error: 0.2985, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6748, predictive_accuracy: 0.7015, prior_entropy: 0.8641, recall: 0.7015, relative_absolute_error: 0.7295, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.5463, root_relative_squared_error: 1.2084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5274, f_measure: 0.6367, kappa: 0.0699, kb_relative_information_score: 0.2096, mean_absolute_error: 0.2985, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6398, predictive_accuracy: 0.7015, prior_entropy: 0.8641, recall: 0.7015, relative_absolute_error: 0.7295, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.5463, root_relative_squared_error: 1.2084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.589, f_measure: 0.6846, kappa: 0.1978, kb_relative_information_score: 0.2187, mean_absolute_error: 0.295, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.678, predictive_accuracy: 0.705, prior_entropy: 0.8641, recall: 0.705, relative_absolute_error: 0.7212, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.5432, root_relative_squared_error: 1.2014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5866, f_measure: 0.6819, kappa: 0.1917, kb_relative_information_score: 0.2096, mean_absolute_error: 0.2985, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6748, predictive_accuracy: 0.7015, prior_entropy: 0.8641, recall: 0.7015, relative_absolute_error: 0.7295, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.5463, root_relative_squared_error: 1.2084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5412, f_measure: 0.6504, kappa: 0.1053, kb_relative_information_score: 0.2414, mean_absolute_error: 0.2864, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6654, predictive_accuracy: 0.7136, prior_entropy: 0.8641, recall: 0.7136, relative_absolute_error: 0.7002, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.5352, root_relative_squared_error: 1.1838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5376, f_measure: 0.6469, kappa: 0.0954, kb_relative_information_score: 0.2278, mean_absolute_error: 0.2916, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6556, predictive_accuracy: 0.7084, prior_entropy: 0.8641, recall: 0.7084, relative_absolute_error: 0.7128, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.54, root_relative_squared_error: 1.1944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5926, f_measure: 0.6865, kappa: 0.2041, kb_relative_information_score: 0.2187, mean_absolute_error: 0.295, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6798, predictive_accuracy: 0.705, prior_entropy: 0.8641, recall: 0.705, relative_absolute_error: 0.7212, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.5432, root_relative_squared_error: 1.2014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5842, f_measure: 0.6792, kappa: 0.1856, kb_relative_information_score: 0.2005, mean_absolute_error: 0.3019, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6718, predictive_accuracy: 0.6981, prior_entropy: 0.8641, recall: 0.6981, relative_absolute_error: 0.7379, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.5494, root_relative_squared_error: 1.2153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5286, f_measure: 0.6378, kappa: 0.0731, kb_relative_information_score: 0.2141, mean_absolute_error: 0.2967, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6428, predictive_accuracy: 0.7033, prior_entropy: 0.8641, recall: 0.7033, relative_absolute_error: 0.7253, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.5447, root_relative_squared_error: 1.2049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.549, f_measure: 0.6581, kappa: 0.124, kb_relative_information_score: 0.2505, mean_absolute_error: 0.283, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6737, predictive_accuracy: 0.717, prior_entropy: 0.8641, recall: 0.717, relative_absolute_error: 0.6918, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.532, root_relative_squared_error: 1.1767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5478, f_measure: 0.6569, kappa: 0.1207, kb_relative_information_score: 0.2459, mean_absolute_error: 0.2847, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6705, predictive_accuracy: 0.7153, prior_entropy: 0.8641, recall: 0.7153, relative_absolute_error: 0.696, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.5336, root_relative_squared_error: 1.1803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5782, f_measure: 0.6745, kappa: 0.1731, kb_relative_information_score: 0.1914, mean_absolute_error: 0.3053, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6667, predictive_accuracy: 0.6947, prior_entropy: 0.8641, recall: 0.6947, relative_absolute_error: 0.7463, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.5526, root_relative_squared_error: 1.2222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5806, f_measure: 0.6772, kappa: 0.1791, kb_relative_information_score: 0.2005, mean_absolute_error: 0.3019, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6698, predictive_accuracy: 0.6981, prior_entropy: 0.8641, recall: 0.6981, relative_absolute_error: 0.7379, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.5494, root_relative_squared_error: 1.2153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5358, f_measure: 0.645, kappa: 0.0913, kb_relative_information_score: 0.2278, mean_absolute_error: 0.2916, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6546, predictive_accuracy: 0.7084, prior_entropy: 0.8641, recall: 0.7084, relative_absolute_error: 0.7128, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.54, root_relative_squared_error: 1.1944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5842, f_measure: 0.6792, kappa: 0.1856, kb_relative_information_score: 0.2005, mean_absolute_error: 0.3019, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6718, predictive_accuracy: 0.6981, prior_entropy: 0.8641, recall: 0.6981, relative_absolute_error: 0.7379, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.5494, root_relative_squared_error: 1.2153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5472, f_measure: 0.6562, kappa: 0.1181, kb_relative_information_score: 0.2369, mean_absolute_error: 0.2882, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.665, predictive_accuracy: 0.7118, prior_entropy: 0.8641, recall: 0.7118, relative_absolute_error: 0.7044, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.5368, root_relative_squared_error: 1.1874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.586, f_measure: 0.6822, kappa: 0.1915, kb_relative_information_score: 0.2141, mean_absolute_error: 0.2967, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6755, predictive_accuracy: 0.7033, prior_entropy: 0.8641, recall: 0.7033, relative_absolute_error: 0.7253, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.5447, root_relative_squared_error: 1.2049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.58, f_measure: 0.6776, kappa: 0.1789, kb_relative_information_score: 0.2051, mean_absolute_error: 0.3002, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6704, predictive_accuracy: 0.6998, prior_entropy: 0.8641, recall: 0.6998, relative_absolute_error: 0.7337, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.5479, root_relative_squared_error: 1.2118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.531, f_measure: 0.6401, kappa: 0.0796, kb_relative_information_score: 0.2232, mean_absolute_error: 0.2933, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6492, predictive_accuracy: 0.7067, prior_entropy: 0.8641, recall: 0.7067, relative_absolute_error: 0.717, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.5416, root_relative_squared_error: 1.1979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5328, f_measure: 0.642, kappa: 0.0838, kb_relative_information_score: 0.2232, mean_absolute_error: 0.2933, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6503, predictive_accuracy: 0.7067, prior_entropy: 0.8641, recall: 0.7067, relative_absolute_error: 0.717, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.5416, root_relative_squared_error: 1.1979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5944, f_measure: 0.6896, kappa: 0.2102, kb_relative_information_score: 0.2323, mean_absolute_error: 0.2899, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6837, predictive_accuracy: 0.7101, prior_entropy: 0.8641, recall: 0.7101, relative_absolute_error: 0.7086, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.5384, root_relative_squared_error: 1.1909,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5544, f_measure: 0.6632, kappa: 0.1358, kb_relative_information_score: 0.2505, mean_absolute_error: 0.283, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.675, predictive_accuracy: 0.717, prior_entropy: 0.8641, recall: 0.717, relative_absolute_error: 0.6918, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.532, root_relative_squared_error: 1.1767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5364, f_measure: 0.6457, kappa: 0.0921, kb_relative_information_score: 0.2232, mean_absolute_error: 0.2933, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6525, predictive_accuracy: 0.7067, prior_entropy: 0.8641, recall: 0.7067, relative_absolute_error: 0.717, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.5416, root_relative_squared_error: 1.1979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5866, f_measure: 0.6819, kappa: 0.1917, kb_relative_information_score: 0.2096, mean_absolute_error: 0.2985, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6748, predictive_accuracy: 0.7015, prior_entropy: 0.8641, recall: 0.7015, relative_absolute_error: 0.7295, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.5463, root_relative_squared_error: 1.2084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5866, f_measure: 0.6819, kappa: 0.1917, kb_relative_information_score: 0.2096, mean_absolute_error: 0.2985, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6748, predictive_accuracy: 0.7015, prior_entropy: 0.8641, recall: 0.7015, relative_absolute_error: 0.7295, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.5463, root_relative_squared_error: 1.2084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5866, f_measure: 0.6819, kappa: 0.1917, kb_relative_information_score: 0.2096, mean_absolute_error: 0.2985, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6748, predictive_accuracy: 0.7015, prior_entropy: 0.8641, recall: 0.7015, relative_absolute_error: 0.7295, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.5463, root_relative_squared_error: 1.2084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.589, f_measure: 0.6846, kappa: 0.1978, kb_relative_information_score: 0.2187, mean_absolute_error: 0.295, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.678, predictive_accuracy: 0.705, prior_entropy: 0.8641, recall: 0.705, relative_absolute_error: 0.7212, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.5432, root_relative_squared_error: 1.2014,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.531, f_measure: 0.6401, kappa: 0.0796, kb_relative_information_score: 0.2232, mean_absolute_error: 0.2933, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6492, predictive_accuracy: 0.7067, prior_entropy: 0.8641, recall: 0.7067, relative_absolute_error: 0.717, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.5416, root_relative_squared_error: 1.1979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5782, f_measure: 0.6765, kappa: 0.1756, kb_relative_information_score: 0.2051, mean_absolute_error: 0.3002, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6694, predictive_accuracy: 0.6998, prior_entropy: 0.8641, recall: 0.6998, relative_absolute_error: 0.7337, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.5479, root_relative_squared_error: 1.2118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5944, f_measure: 0.6896, kappa: 0.2102, kb_relative_information_score: 0.2323, mean_absolute_error: 0.2899, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6837, predictive_accuracy: 0.7101, prior_entropy: 0.8641, recall: 0.7101, relative_absolute_error: 0.7086, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.5384, root_relative_squared_error: 1.1909,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5782, f_measure: 0.6745, kappa: 0.1731, kb_relative_information_score: 0.1914, mean_absolute_error: 0.3053, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6667, predictive_accuracy: 0.6947, prior_entropy: 0.8641, recall: 0.6947, relative_absolute_error: 0.7463, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.5526, root_relative_squared_error: 1.2222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5842, f_measure: 0.6792, kappa: 0.1856, kb_relative_information_score: 0.2005, mean_absolute_error: 0.3019, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6718, predictive_accuracy: 0.6981, prior_entropy: 0.8641, recall: 0.6981, relative_absolute_error: 0.7379, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.5494, root_relative_squared_error: 1.2153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5931, f_measure: 0.686, kappa: 0.2042, kb_relative_information_score: 0.2141, mean_absolute_error: 0.2967, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6792, predictive_accuracy: 0.7033, prior_entropy: 0.8641, recall: 0.7033, relative_absolute_error: 0.7253, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.5447, root_relative_squared_error: 1.2049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.589, f_measure: 0.6846, kappa: 0.1978, kb_relative_information_score: 0.2187, mean_absolute_error: 0.295, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.678, predictive_accuracy: 0.705, prior_entropy: 0.8641, recall: 0.705, relative_absolute_error: 0.7212, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.5432, root_relative_squared_error: 1.2014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5889, f_measure: 0.6824, kappa: 0.195, kb_relative_information_score: 0.2051, mean_absolute_error: 0.3002, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6752, predictive_accuracy: 0.6998, prior_entropy: 0.8641, recall: 0.6998, relative_absolute_error: 0.7337, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.5479, root_relative_squared_error: 1.2118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5878, f_measure: 0.6832, kappa: 0.1947, kb_relative_information_score: 0.2141, mean_absolute_error: 0.2967, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6764, predictive_accuracy: 0.7033, prior_entropy: 0.8641, recall: 0.7033, relative_absolute_error: 0.7253, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.5447, root_relative_squared_error: 1.2049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5842, f_measure: 0.6792, kappa: 0.1856, kb_relative_information_score: 0.2005, mean_absolute_error: 0.3019, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6718, predictive_accuracy: 0.6981, prior_entropy: 0.8641, recall: 0.6981, relative_absolute_error: 0.7379, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.5494, root_relative_squared_error: 1.2153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5836, f_measure: 0.6795, kappa: 0.1854, kb_relative_information_score: 0.2051, mean_absolute_error: 0.3002, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6723, predictive_accuracy: 0.6998, prior_entropy: 0.8641, recall: 0.6998, relative_absolute_error: 0.7337, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.5479, root_relative_squared_error: 1.2118,

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

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs