Task
Supervised Classification on analcatdata_dmft

Supervised Classification on analcatdata_dmft

Task 3560 Supervised Classification analcatdata_dmft 19801 runs submitted
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  • OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_41 study_50 study_7 study_98 study_99 under100k under1m
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19801 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5173, f_measure: 0.1981, kappa: 0.0364, kb_relative_information_score: 0.1214, mean_absolute_error: 0.2736, mean_prior_absolute_error: 0.2774, number_of_instances: 797, precision: 0.2046, predictive_accuracy: 0.197, prior_entropy: 2.5803, recall: 0.197, relative_absolute_error: 0.9863, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.4074, root_relative_squared_error: 1.0938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5219, kappa: 0.0289, kb_relative_information_score: 0.0432, mean_absolute_error: 0.2757, mean_prior_absolute_error: 0.2774, number_of_instances: 797, predictive_accuracy: 0.1882, prior_entropy: 2.5803, recall: 0.1882, relative_absolute_error: 0.994, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3717, root_relative_squared_error: 0.9981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5219, kappa: 0.0289, kb_relative_information_score: 0.0432, mean_absolute_error: 0.2757, mean_prior_absolute_error: 0.2774, number_of_instances: 797, predictive_accuracy: 0.1882, prior_entropy: 2.5803, recall: 0.1882, relative_absolute_error: 0.994, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3717, root_relative_squared_error: 0.9981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5202, f_measure: 0.1979, kappa: 0.0349, kb_relative_information_score: 0.1242, mean_absolute_error: 0.2724, mean_prior_absolute_error: 0.2774, number_of_instances: 797, precision: 0.1996, predictive_accuracy: 0.197, prior_entropy: 2.5803, recall: 0.197, relative_absolute_error: 0.9819, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.4127, root_relative_squared_error: 1.1082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5182, f_measure: 0.2011, kappa: 0.0381, kb_relative_information_score: 0.1233, mean_absolute_error: 0.2726, mean_prior_absolute_error: 0.2774, number_of_instances: 797, precision: 0.2024, predictive_accuracy: 0.2008, prior_entropy: 2.5803, recall: 0.2008, relative_absolute_error: 0.9826, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.413, root_relative_squared_error: 1.1091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.521, f_measure: 0.1511, kappa: 0.0141, kb_relative_information_score: 0.0299, mean_absolute_error: 0.2764, mean_prior_absolute_error: 0.2774, number_of_instances: 797, precision: 0.1821, predictive_accuracy: 0.1907, prior_entropy: 2.5803, recall: 0.1907, relative_absolute_error: 0.9965, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3736, root_relative_squared_error: 1.003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5326, f_measure: 0.2062, kappa: 0.0453, kb_relative_information_score: 0.1114, mean_absolute_error: 0.2721, mean_prior_absolute_error: 0.2774, number_of_instances: 797, precision: 0.2087, predictive_accuracy: 0.2058, prior_entropy: 2.5803, recall: 0.2058, relative_absolute_error: 0.9809, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.4023, root_relative_squared_error: 1.0801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5413, f_measure: 0.1725, kappa: 0.0066, kb_relative_information_score: 0.0737, mean_absolute_error: 0.2737, mean_prior_absolute_error: 0.2774, number_of_instances: 797, precision: 0.1757, predictive_accuracy: 0.1757, prior_entropy: 2.5803, recall: 0.1757, relative_absolute_error: 0.9865, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3793, root_relative_squared_error: 1.0186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5661, f_measure: 0.1917, kappa: 0.0399, kb_relative_information_score: 0.1244, mean_absolute_error: 0.2697, mean_prior_absolute_error: 0.2774, number_of_instances: 797, precision: 0.201, predictive_accuracy: 0.2058, prior_entropy: 2.5803, recall: 0.2058, relative_absolute_error: 0.9723, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3786, root_relative_squared_error: 1.0164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5426, kb_relative_information_score: 0.1013, mean_absolute_error: 0.2721, mean_prior_absolute_error: 0.2774, number_of_instances: 797, predictive_accuracy: 0.1945, prior_entropy: 2.5803, recall: 0.1945, relative_absolute_error: 0.9809, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3816, root_relative_squared_error: 1.0245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5827, f_measure: 0.1905, kappa: 0.0514, kb_relative_information_score: 0.0784, mean_absolute_error: 0.2722, mean_prior_absolute_error: 0.2774, number_of_instances: 797, precision: 0.2181, predictive_accuracy: 0.2108, prior_entropy: 2.5803, recall: 0.2108, relative_absolute_error: 0.9812, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3709, root_relative_squared_error: 0.996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5154, f_measure: 0.1985, kappa: 0.0316, kb_relative_information_score: 0.1132, mean_absolute_error: 0.2681, mean_prior_absolute_error: 0.2774, number_of_instances: 797, precision: 0.2061, predictive_accuracy: 0.1957, prior_entropy: 2.5803, recall: 0.1957, relative_absolute_error: 0.9664, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.5178, root_relative_squared_error: 1.3903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5156, f_measure: 0.1695, kappa: 0.0317, kb_relative_information_score: 0.1162, mean_absolute_error: 0.266, mean_prior_absolute_error: 0.2774, number_of_instances: 797, precision: 0.1855, predictive_accuracy: 0.202, prior_entropy: 2.5803, recall: 0.202, relative_absolute_error: 0.9589, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.5157, root_relative_squared_error: 1.3848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5143, f_measure: 0.1839, kappa: 0.029, kb_relative_information_score: 0.1099, mean_absolute_error: 0.2689, mean_prior_absolute_error: 0.2774, number_of_instances: 797, precision: 0.187, predictive_accuracy: 0.1932, prior_entropy: 2.5803, recall: 0.1932, relative_absolute_error: 0.9694, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.5186, root_relative_squared_error: 1.3924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0989, mean_absolute_error: 0.2685, mean_prior_absolute_error: 0.2774, number_of_instances: 797, predictive_accuracy: 0.1945, prior_entropy: 2.5803, recall: 0.1945, relative_absolute_error: 0.9679, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.5182, root_relative_squared_error: 1.3913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0989, mean_absolute_error: 0.2685, mean_prior_absolute_error: 0.2774, number_of_instances: 797, predictive_accuracy: 0.1945, prior_entropy: 2.5803, recall: 0.1945, relative_absolute_error: 0.9679, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.5182, root_relative_squared_error: 1.3913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5182, f_measure: 0.1907, kappa: 0.0371, kb_relative_information_score: 0.1181, mean_absolute_error: 0.2664, mean_prior_absolute_error: 0.2774, number_of_instances: 797, precision: 0.197, predictive_accuracy: 0.2008, prior_entropy: 2.5803, recall: 0.2008, relative_absolute_error: 0.9604, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.5162, root_relative_squared_error: 1.3859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5173, f_measure: 0.2003, kappa: 0.0356, kb_relative_information_score: 0.1167, mean_absolute_error: 0.2673, mean_prior_absolute_error: 0.2774, number_of_instances: 797, precision: 0.2047, predictive_accuracy: 0.1982, prior_entropy: 2.5803, recall: 0.1982, relative_absolute_error: 0.9634, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.517, root_relative_squared_error: 1.3881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0989, mean_absolute_error: 0.2685, mean_prior_absolute_error: 0.2774, number_of_instances: 797, predictive_accuracy: 0.1945, prior_entropy: 2.5803, recall: 0.1945, relative_absolute_error: 0.9679, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.5182, root_relative_squared_error: 1.3913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5206, f_measure: 0.2041, kappa: 0.0421, kb_relative_information_score: 0.1222, mean_absolute_error: 0.2656, mean_prior_absolute_error: 0.2774, number_of_instances: 797, precision: 0.2059, predictive_accuracy: 0.2033, prior_entropy: 2.5803, recall: 0.2033, relative_absolute_error: 0.9574, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.5153, root_relative_squared_error: 1.3837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5243, f_measure: 0.2121, kappa: 0.0494, kb_relative_information_score: 0.1297, mean_absolute_error: 0.2631, mean_prior_absolute_error: 0.2774, number_of_instances: 797, precision: 0.2158, predictive_accuracy: 0.2108, prior_entropy: 2.5803, recall: 0.2108, relative_absolute_error: 0.9483, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.5129, root_relative_squared_error: 1.3772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0989, mean_absolute_error: 0.2685, mean_prior_absolute_error: 0.2774, number_of_instances: 797, predictive_accuracy: 0.1945, prior_entropy: 2.5803, recall: 0.1945, relative_absolute_error: 0.9679, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.5182, root_relative_squared_error: 1.3913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4697, f_measure: 0.0979, kappa: -0.0609, kb_relative_information_score: 0.033, mean_absolute_error: 0.2911, mean_prior_absolute_error: 0.2774, number_of_instances: 797, precision: 0.0934, predictive_accuracy: 0.1267, prior_entropy: 2.5803, recall: 0.1267, relative_absolute_error: 1.0493, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.5395, root_relative_squared_error: 1.4487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5426, f_measure: 0.236, kappa: 0.0854, kb_relative_information_score: 0.1604, mean_absolute_error: 0.2539, mean_prior_absolute_error: 0.2774, number_of_instances: 797, precision: 0.2429, predictive_accuracy: 0.2384, prior_entropy: 2.5803, recall: 0.2384, relative_absolute_error: 0.9151, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.5039, root_relative_squared_error: 1.3529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5225, f_measure: 0.2084, kappa: 0.0458, kb_relative_information_score: 0.126, mean_absolute_error: 0.2643, mean_prior_absolute_error: 0.2774, number_of_instances: 797, precision: 0.211, predictive_accuracy: 0.207, prior_entropy: 2.5803, recall: 0.207, relative_absolute_error: 0.9528, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.5141, root_relative_squared_error: 1.3805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4932, kappa: -0.0132, kb_relative_information_score: 0.078, mean_absolute_error: 0.2773, mean_prior_absolute_error: 0.2774, number_of_instances: 797, predictive_accuracy: 0.1681, prior_entropy: 2.5803, recall: 0.1681, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.5266, root_relative_squared_error: 1.4139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5355, f_measure: 0.2228, kappa: 0.0715, kb_relative_information_score: 0.1474, mean_absolute_error: 0.2581, mean_prior_absolute_error: 0.2774, number_of_instances: 797, precision: 0.2347, predictive_accuracy: 0.2258, prior_entropy: 2.5803, recall: 0.2258, relative_absolute_error: 0.9302, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.508, root_relative_squared_error: 1.364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.533, f_measure: 0.2185, kappa: 0.0663, kb_relative_information_score: 0.1428, mean_absolute_error: 0.2593, mean_prior_absolute_error: 0.2774, number_of_instances: 797, precision: 0.2285, predictive_accuracy: 0.2221, prior_entropy: 2.5803, recall: 0.2221, relative_absolute_error: 0.9347, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.5092, root_relative_squared_error: 1.3673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5206, f_measure: 0.1968, kappa: 0.0418, kb_relative_information_score: 0.1213, mean_absolute_error: 0.2656, mean_prior_absolute_error: 0.2774, number_of_instances: 797, precision: 0.2006, predictive_accuracy: 0.2033, prior_entropy: 2.5803, recall: 0.2033, relative_absolute_error: 0.9574, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.5153, root_relative_squared_error: 1.3837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5207, f_measure: 0.2048, kappa: 0.0425, kb_relative_information_score: 0.1225, mean_absolute_error: 0.2656, mean_prior_absolute_error: 0.2774, number_of_instances: 797, precision: 0.2071, predictive_accuracy: 0.2033, prior_entropy: 2.5803, recall: 0.2033, relative_absolute_error: 0.9574, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.5153, root_relative_squared_error: 1.3837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5192, f_measure: 0.202, kappa: 0.0393, kb_relative_information_score: 0.1195, mean_absolute_error: 0.2664, mean_prior_absolute_error: 0.2774, number_of_instances: 797, precision: 0.2039, predictive_accuracy: 0.2008, prior_entropy: 2.5803, recall: 0.2008, relative_absolute_error: 0.9604, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.5162, root_relative_squared_error: 1.3859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5222, f_measure: 0.209, kappa: 0.0454, kb_relative_information_score: 0.1257, mean_absolute_error: 0.2643, mean_prior_absolute_error: 0.2774, number_of_instances: 797, precision: 0.2154, predictive_accuracy: 0.207, prior_entropy: 2.5803, recall: 0.207, relative_absolute_error: 0.9528, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.5141, root_relative_squared_error: 1.3805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5015, f_measure: 0.1691, kappa: 0.0034, kb_relative_information_score: 0.0872, mean_absolute_error: 0.2756, mean_prior_absolute_error: 0.2774, number_of_instances: 797, precision: 0.1815, predictive_accuracy: 0.1731, prior_entropy: 2.5803, recall: 0.1731, relative_absolute_error: 0.9935, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.525, root_relative_squared_error: 1.4096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0989, mean_absolute_error: 0.2685, mean_prior_absolute_error: 0.2774, number_of_instances: 797, predictive_accuracy: 0.1945, prior_entropy: 2.5803, recall: 0.1945, relative_absolute_error: 0.9679, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.5182, root_relative_squared_error: 1.3913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5221, f_measure: 0.207, kappa: 0.0451, kb_relative_information_score: 0.1248, mean_absolute_error: 0.2647, mean_prior_absolute_error: 0.2774, number_of_instances: 797, precision: 0.2089, predictive_accuracy: 0.2058, prior_entropy: 2.5803, recall: 0.2058, relative_absolute_error: 0.9543, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.5145, root_relative_squared_error: 1.3816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5107, f_measure: 0.1889, kappa: 0.0225, kb_relative_information_score: 0.1044, mean_absolute_error: 0.271, mean_prior_absolute_error: 0.2774, number_of_instances: 797, precision: 0.1951, predictive_accuracy: 0.187, prior_entropy: 2.5803, recall: 0.187, relative_absolute_error: 0.977, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.5206, root_relative_squared_error: 1.3978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5216, f_measure: 0.1771, kappa: 0.0438, kb_relative_information_score: 0.127, mean_absolute_error: 0.2627, mean_prior_absolute_error: 0.2774, number_of_instances: 797, precision: 0.1957, predictive_accuracy: 0.212, prior_entropy: 2.5803, recall: 0.212, relative_absolute_error: 0.9468, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.5125, root_relative_squared_error: 1.3761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5159, f_measure: 0.1862, kappa: 0.0322, kb_relative_information_score: 0.1128, mean_absolute_error: 0.2681, mean_prior_absolute_error: 0.2774, number_of_instances: 797, precision: 0.1903, predictive_accuracy: 0.1957, prior_entropy: 2.5803, recall: 0.1957, relative_absolute_error: 0.9664, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.5178, root_relative_squared_error: 1.3903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5141, f_measure: 0.1806, kappa: 0.029, kb_relative_information_score: 0.112, mean_absolute_error: 0.2681, mean_prior_absolute_error: 0.2774, number_of_instances: 797, precision: 0.1894, predictive_accuracy: 0.1957, prior_entropy: 2.5803, recall: 0.1957, relative_absolute_error: 0.9664, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.5178, root_relative_squared_error: 1.3903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5242, f_measure: 0.2122, kappa: 0.0494, kb_relative_information_score: 0.1297, mean_absolute_error: 0.2631, mean_prior_absolute_error: 0.2774, number_of_instances: 797, precision: 0.2162, predictive_accuracy: 0.2108, prior_entropy: 2.5803, recall: 0.2108, relative_absolute_error: 0.9483, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.5129, root_relative_squared_error: 1.3772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5233, f_measure: 0.1875, kappa: 0.0472, kb_relative_information_score: 0.1287, mean_absolute_error: 0.2627, mean_prior_absolute_error: 0.2774, number_of_instances: 797, precision: 0.2035, predictive_accuracy: 0.212, prior_entropy: 2.5803, recall: 0.212, relative_absolute_error: 0.9468, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.5125, root_relative_squared_error: 1.3761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5192, f_measure: 0.2024, kappa: 0.0394, kb_relative_information_score: 0.1197, mean_absolute_error: 0.2664, mean_prior_absolute_error: 0.2774, number_of_instances: 797, precision: 0.205, predictive_accuracy: 0.2008, prior_entropy: 2.5803, recall: 0.2008, relative_absolute_error: 0.9604, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.5162, root_relative_squared_error: 1.3859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.533, f_measure: 0.2183, kappa: 0.0665, kb_relative_information_score: 0.143, mean_absolute_error: 0.2593, mean_prior_absolute_error: 0.2774, number_of_instances: 797, precision: 0.2279, predictive_accuracy: 0.2221, prior_entropy: 2.5803, recall: 0.2221, relative_absolute_error: 0.9347, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.5092, root_relative_squared_error: 1.3673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5306, f_measure: 0.2149, kappa: 0.0618, kb_relative_information_score: 0.1407, mean_absolute_error: 0.2593, mean_prior_absolute_error: 0.2774, number_of_instances: 797, precision: 0.2192, predictive_accuracy: 0.2221, prior_entropy: 2.5803, recall: 0.2221, relative_absolute_error: 0.9347, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.5092, root_relative_squared_error: 1.3673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5332, f_measure: 0.2211, kappa: 0.0667, kb_relative_information_score: 0.1441, mean_absolute_error: 0.2585, mean_prior_absolute_error: 0.2774, number_of_instances: 797, precision: 0.2243, predictive_accuracy: 0.2246, prior_entropy: 2.5803, recall: 0.2246, relative_absolute_error: 0.9317, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.5084, root_relative_squared_error: 1.3651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5168, f_measure: 0.1988, kappa: 0.0346, kb_relative_information_score: 0.1157, mean_absolute_error: 0.2677, mean_prior_absolute_error: 0.2774, number_of_instances: 797, precision: 0.2016, predictive_accuracy: 0.197, prior_entropy: 2.5803, recall: 0.197, relative_absolute_error: 0.9649, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.5174, root_relative_squared_error: 1.3892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5192, f_measure: 0.2024, kappa: 0.0394, kb_relative_information_score: 0.1197, mean_absolute_error: 0.2664, mean_prior_absolute_error: 0.2774, number_of_instances: 797, precision: 0.205, predictive_accuracy: 0.2008, prior_entropy: 2.5803, recall: 0.2008, relative_absolute_error: 0.9604, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.5162, root_relative_squared_error: 1.3859,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5191, f_measure: 0.2023, kappa: 0.0393, kb_relative_information_score: 0.1196, mean_absolute_error: 0.2664, mean_prior_absolute_error: 0.2774, number_of_instances: 797, precision: 0.2046, predictive_accuracy: 0.2008, prior_entropy: 2.5803, recall: 0.2008, relative_absolute_error: 0.9604, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.5162, root_relative_squared_error: 1.3859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5166, f_measure: 0.1949, kappa: 0.0337, kb_relative_information_score: 0.1134, mean_absolute_error: 0.2681, mean_prior_absolute_error: 0.2774, number_of_instances: 797, precision: 0.1954, predictive_accuracy: 0.1957, prior_entropy: 2.5803, recall: 0.1957, relative_absolute_error: 0.9664, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.5178, root_relative_squared_error: 1.3903,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5184, f_measure: 0.1843, kappa: 0.0377, kb_relative_information_score: 0.1207, mean_absolute_error: 0.2652, mean_prior_absolute_error: 0.2774, number_of_instances: 797, precision: 0.1987, predictive_accuracy: 0.2045, prior_entropy: 2.5803, recall: 0.2045, relative_absolute_error: 0.9559, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.5149, root_relative_squared_error: 1.3827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5192, f_measure: 0.2022, kappa: 0.0393, kb_relative_information_score: 0.1196, mean_absolute_error: 0.2664, mean_prior_absolute_error: 0.2774, number_of_instances: 797, precision: 0.2044, predictive_accuracy: 0.2008, prior_entropy: 2.5803, recall: 0.2008, relative_absolute_error: 0.9604, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.5162, root_relative_squared_error: 1.3859,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5199, f_measure: 0.2053, kappa: 0.0407, kb_relative_information_score: 0.1214, mean_absolute_error: 0.2656, mean_prior_absolute_error: 0.2774, number_of_instances: 797, precision: 0.2131, predictive_accuracy: 0.2033, prior_entropy: 2.5803, recall: 0.2033, relative_absolute_error: 0.9574, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.5153, root_relative_squared_error: 1.3837,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5293, f_measure: 0.2152, kappa: 0.059, kb_relative_information_score: 0.1373, mean_absolute_error: 0.2606, mean_prior_absolute_error: 0.2774, number_of_instances: 797, precision: 0.2183, predictive_accuracy: 0.2183, prior_entropy: 2.5803, recall: 0.2183, relative_absolute_error: 0.9393, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.5105, root_relative_squared_error: 1.3706,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5368, f_measure: 0.2248, kappa: 0.0739, kb_relative_information_score: 0.1497, mean_absolute_error: 0.2572, mean_prior_absolute_error: 0.2774, number_of_instances: 797, precision: 0.2347, predictive_accuracy: 0.2284, prior_entropy: 2.5803, recall: 0.2284, relative_absolute_error: 0.9272, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.5072, root_relative_squared_error: 1.3618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5285, f_measure: 0.2104, kappa: 0.0574, kb_relative_information_score: 0.1345, mean_absolute_error: 0.2618, mean_prior_absolute_error: 0.2774, number_of_instances: 797, precision: 0.2206, predictive_accuracy: 0.2146, prior_entropy: 2.5803, recall: 0.2146, relative_absolute_error: 0.9438, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.5117, root_relative_squared_error: 1.3739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5158, kappa: 0.0321, kb_relative_information_score: 0.1242, mean_absolute_error: 0.2614, mean_prior_absolute_error: 0.2774, number_of_instances: 797, predictive_accuracy: 0.2158, prior_entropy: 2.5803, recall: 0.2158, relative_absolute_error: 0.9423, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.5113, root_relative_squared_error: 1.3728,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5181, f_measure: 0.2006, kappa: 0.0372, kb_relative_information_score: 0.1178, mean_absolute_error: 0.2668, mean_prior_absolute_error: 0.2774, number_of_instances: 797, precision: 0.2029, predictive_accuracy: 0.1995, prior_entropy: 2.5803, recall: 0.1995, relative_absolute_error: 0.9619, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.5166, root_relative_squared_error: 1.387,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0989, mean_absolute_error: 0.2685, mean_prior_absolute_error: 0.2774, number_of_instances: 797, predictive_accuracy: 0.1945, prior_entropy: 2.5803, recall: 0.1945, relative_absolute_error: 0.9679, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.5182, root_relative_squared_error: 1.3913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5181, f_measure: 0.2006, kappa: 0.0372, kb_relative_information_score: 0.1178, mean_absolute_error: 0.2668, mean_prior_absolute_error: 0.2774, number_of_instances: 797, precision: 0.2029, predictive_accuracy: 0.1995, prior_entropy: 2.5803, recall: 0.1995, relative_absolute_error: 0.9619, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.5166, root_relative_squared_error: 1.387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0989, mean_absolute_error: 0.2685, mean_prior_absolute_error: 0.2774, number_of_instances: 797, predictive_accuracy: 0.1945, prior_entropy: 2.5803, recall: 0.1945, relative_absolute_error: 0.9679, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.5182, root_relative_squared_error: 1.3913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0989, mean_absolute_error: 0.2685, mean_prior_absolute_error: 0.2774, number_of_instances: 797, predictive_accuracy: 0.1945, prior_entropy: 2.5803, recall: 0.1945, relative_absolute_error: 0.9679, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.5182, root_relative_squared_error: 1.3913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0989, mean_absolute_error: 0.2685, mean_prior_absolute_error: 0.2774, number_of_instances: 797, predictive_accuracy: 0.1945, prior_entropy: 2.5803, recall: 0.1945, relative_absolute_error: 0.9679, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.5182, root_relative_squared_error: 1.3913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5181, f_measure: 0.1696, kappa: 0.0368, kb_relative_information_score: 0.122, mean_absolute_error: 0.2639, mean_prior_absolute_error: 0.2774, number_of_instances: 797, precision: 0.1918, predictive_accuracy: 0.2083, prior_entropy: 2.5803, recall: 0.2083, relative_absolute_error: 0.9513, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.5137, root_relative_squared_error: 1.3794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.517, f_measure: 0.2013, kappa: 0.0347, kb_relative_information_score: 0.1159, mean_absolute_error: 0.2673, mean_prior_absolute_error: 0.2774, number_of_instances: 797, precision: 0.2102, predictive_accuracy: 0.1982, prior_entropy: 2.5803, recall: 0.1982, relative_absolute_error: 0.9634, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.517, root_relative_squared_error: 1.3881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5012, kappa: 0.0024, kb_relative_information_score: 0.0981, mean_absolute_error: 0.2693, mean_prior_absolute_error: 0.2774, number_of_instances: 797, predictive_accuracy: 0.192, prior_entropy: 2.5803, recall: 0.192, relative_absolute_error: 0.9709, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.519, root_relative_squared_error: 1.3935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5177, f_measure: 0.1999, kappa: 0.0364, kb_relative_information_score: 0.117, mean_absolute_error: 0.2673, mean_prior_absolute_error: 0.2774, number_of_instances: 797, precision: 0.2028, predictive_accuracy: 0.1982, prior_entropy: 2.5803, recall: 0.1982, relative_absolute_error: 0.9634, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.517, root_relative_squared_error: 1.3881,

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