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Supervised Classification on vote

Supervised Classification on vote

Task 1819 Supervised Classification vote 367 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.968, f_measure: 0.9527, kappa: 0.9005, kb_relative_information_score: 1851.7494, mean_absolute_error: 0.0768, mean_prior_absolute_error: 0.4742, number_of_instances: 2175, precision: 0.953, predictive_accuracy: 0.9526, prior_entropy: 0.9627, recall: 0.9526, relative_absolute_error: 0.162, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2032, root_relative_squared_error: 0.4173, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9514, kappa: 0.8977, kb_relative_information_score: 1851.1148, mean_absolute_error: 0.0764, mean_prior_absolute_error: 0.4742, number_of_instances: 2175, precision: 0.9516, predictive_accuracy: 0.9513, prior_entropy: 0.9627, recall: 0.9513, relative_absolute_error: 0.161, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1867, root_relative_squared_error: 0.3834, scimark_benchmark: 972.587, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9477, kappa: 0.8897, kb_relative_information_score: 1888.2364, mean_absolute_error: 0.065, mean_prior_absolute_error: 0.4742, number_of_instances: 2175, precision: 0.9478, predictive_accuracy: 0.9476, prior_entropy: 0.9627, recall: 0.9476, relative_absolute_error: 0.137, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1942, root_relative_squared_error: 0.3989, scimark_benchmark: 851.2074, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9413, kappa: 0.8764, kb_relative_information_score: 1875.3626, mean_absolute_error: 0.0657, mean_prior_absolute_error: 0.4742, number_of_instances: 2175, precision: 0.9416, predictive_accuracy: 0.9411, prior_entropy: 0.9627, recall: 0.9411, relative_absolute_error: 0.1386, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2108, root_relative_squared_error: 0.433, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9413, kappa: 0.8764, kb_relative_information_score: 1875.3626, mean_absolute_error: 0.0657, mean_prior_absolute_error: 0.4742, number_of_instances: 2175, precision: 0.9416, predictive_accuracy: 0.9411, prior_entropy: 0.9627, recall: 0.9411, relative_absolute_error: 0.1386, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2108, root_relative_squared_error: 0.433, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9805, f_measure: 0.9565, kappa: 0.9088, kb_relative_information_score: 1851.6221, mean_absolute_error: 0.0778, mean_prior_absolute_error: 0.4742, number_of_instances: 2175, precision: 0.9576, predictive_accuracy: 0.9563, prior_entropy: 0.9627, recall: 0.9563, relative_absolute_error: 0.1641, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1876, root_relative_squared_error: 0.3853, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9413, kappa: 0.8764, kb_relative_information_score: 1875.3626, mean_absolute_error: 0.0657, mean_prior_absolute_error: 0.4742, number_of_instances: 2175, precision: 0.9416, predictive_accuracy: 0.9411, prior_entropy: 0.9627, recall: 0.9411, relative_absolute_error: 0.1386, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2108, root_relative_squared_error: 0.433, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9568, kappa: 0.9091, kb_relative_information_score: 1838.4586, mean_absolute_error: 0.0798, mean_prior_absolute_error: 0.4742, number_of_instances: 2175, precision: 0.957, predictive_accuracy: 0.9568, prior_entropy: 0.9627, recall: 0.9568, relative_absolute_error: 0.1682, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1854, root_relative_squared_error: 0.3808, scimark_benchmark: 931.771, usercpu_time_millis: 110, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9524, f_measure: 0.9514, kappa: 0.898, kb_relative_information_score: 1945.6234, mean_absolute_error: 0.0487, mean_prior_absolute_error: 0.4742, number_of_instances: 2175, precision: 0.9521, predictive_accuracy: 0.9513, prior_entropy: 0.9627, recall: 0.9513, relative_absolute_error: 0.1028, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2208, root_relative_squared_error: 0.4534, scimark_benchmark: 941.3847, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9692, f_measure: 0.8995, kappa: 0.7899, kb_relative_information_score: 1696.4512, mean_absolute_error: 0.102, mean_prior_absolute_error: 0.4742, number_of_instances: 2175, precision: 0.9021, predictive_accuracy: 0.8989, prior_entropy: 0.9627, recall: 0.8989, relative_absolute_error: 0.2152, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3042, root_relative_squared_error: 0.6249, scimark_benchmark: 932.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9413, kappa: 0.8764, kb_relative_information_score: 1875.3626, mean_absolute_error: 0.0657, mean_prior_absolute_error: 0.4742, number_of_instances: 2175, precision: 0.9416, predictive_accuracy: 0.9411, prior_entropy: 0.9627, recall: 0.9411, relative_absolute_error: 0.1386, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2108, root_relative_squared_error: 0.433, scimark_benchmark: 974.2014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9413, kappa: 0.8764, kb_relative_information_score: 1875.3626, mean_absolute_error: 0.0657, mean_prior_absolute_error: 0.4742, number_of_instances: 2175, precision: 0.9416, predictive_accuracy: 0.9411, prior_entropy: 0.9627, recall: 0.9411, relative_absolute_error: 0.1386, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2108, root_relative_squared_error: 0.433, scimark_benchmark: 974.2014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.9395, kappa: 0.8728, kb_relative_information_score: 1847.9816, mean_absolute_error: 0.072, mean_prior_absolute_error: 0.4742, number_of_instances: 2175, precision: 0.9401, predictive_accuracy: 0.9393, prior_entropy: 0.9627, recall: 0.9393, relative_absolute_error: 0.1519, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2194, root_relative_squared_error: 0.4506, scimark_benchmark: 943.1009, usercpu_time_millis: 450, usercpu_time_millis_training: 450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9568, kappa: 0.9091, kb_relative_information_score: 1838.4586, mean_absolute_error: 0.0798, mean_prior_absolute_error: 0.4742, number_of_instances: 2175, precision: 0.957, predictive_accuracy: 0.9568, prior_entropy: 0.9627, recall: 0.9568, relative_absolute_error: 0.1682, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1854, root_relative_squared_error: 0.3808, scimark_benchmark: 943.1009, usercpu_time_millis: 160, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.968, f_measure: 0.9527, kappa: 0.9005, kb_relative_information_score: 1851.7494, mean_absolute_error: 0.0768, mean_prior_absolute_error: 0.4742, number_of_instances: 2175, precision: 0.953, predictive_accuracy: 0.9526, prior_entropy: 0.9627, recall: 0.9526, relative_absolute_error: 0.162, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2032, root_relative_squared_error: 0.4173, scimark_benchmark: 819.5729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9514, kappa: 0.8977, kb_relative_information_score: 1851.1148, mean_absolute_error: 0.0764, mean_prior_absolute_error: 0.4742, number_of_instances: 2175, precision: 0.9516, predictive_accuracy: 0.9513, prior_entropy: 0.9627, recall: 0.9513, relative_absolute_error: 0.161, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1867, root_relative_squared_error: 0.3834, scimark_benchmark: 935.2002, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9477, kappa: 0.8897, kb_relative_information_score: 1888.2364, mean_absolute_error: 0.065, mean_prior_absolute_error: 0.4742, number_of_instances: 2175, precision: 0.9478, predictive_accuracy: 0.9476, prior_entropy: 0.9627, recall: 0.9476, relative_absolute_error: 0.137, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1942, root_relative_squared_error: 0.3989, scimark_benchmark: 608.4057, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9524, f_measure: 0.9514, kappa: 0.898, kb_relative_information_score: 1945.6234, mean_absolute_error: 0.0487, mean_prior_absolute_error: 0.4742, number_of_instances: 2175, precision: 0.9521, predictive_accuracy: 0.9513, prior_entropy: 0.9627, recall: 0.9513, relative_absolute_error: 0.1028, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2208, root_relative_squared_error: 0.4534, scimark_benchmark: 930.404, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9413, kappa: 0.8764, kb_relative_information_score: 1875.3626, mean_absolute_error: 0.0657, mean_prior_absolute_error: 0.4742, number_of_instances: 2175, precision: 0.9416, predictive_accuracy: 0.9411, prior_entropy: 0.9627, recall: 0.9411, relative_absolute_error: 0.1386, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2108, root_relative_squared_error: 0.433, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9413, kappa: 0.8764, kb_relative_information_score: 1875.3626, mean_absolute_error: 0.0657, mean_prior_absolute_error: 0.4742, number_of_instances: 2175, precision: 0.9416, predictive_accuracy: 0.9411, prior_entropy: 0.9627, recall: 0.9411, relative_absolute_error: 0.1386, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2108, root_relative_squared_error: 0.433, scimark_benchmark: 903.2737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9413, kappa: 0.8764, kb_relative_information_score: 1875.3626, mean_absolute_error: 0.0657, mean_prior_absolute_error: 0.4742, number_of_instances: 2175, precision: 0.9416, predictive_accuracy: 0.9411, prior_entropy: 0.9627, recall: 0.9411, relative_absolute_error: 0.1386, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2108, root_relative_squared_error: 0.433, scimark_benchmark: 938.1282, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9413, kappa: 0.8764, kb_relative_information_score: 1875.3626, mean_absolute_error: 0.0657, mean_prior_absolute_error: 0.4742, number_of_instances: 2175, precision: 0.9416, predictive_accuracy: 0.9411, prior_entropy: 0.9627, recall: 0.9411, relative_absolute_error: 0.1386, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2108, root_relative_squared_error: 0.433, scimark_benchmark: 903.2737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9805, f_measure: 0.9565, kappa: 0.9088, kb_relative_information_score: 1851.6221, mean_absolute_error: 0.0778, mean_prior_absolute_error: 0.4742, number_of_instances: 2175, precision: 0.9576, predictive_accuracy: 0.9563, prior_entropy: 0.9627, recall: 0.9563, relative_absolute_error: 0.1641, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1876, root_relative_squared_error: 0.3853, scimark_benchmark: 933.3455, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9413, kappa: 0.8764, kb_relative_information_score: 1875.3626, mean_absolute_error: 0.0657, mean_prior_absolute_error: 0.4742, number_of_instances: 2175, precision: 0.9416, predictive_accuracy: 0.9411, prior_entropy: 0.9627, recall: 0.9411, relative_absolute_error: 0.1386, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2108, root_relative_squared_error: 0.433, scimark_benchmark: 945.6228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.9395, kappa: 0.8728, kb_relative_information_score: 1847.9816, mean_absolute_error: 0.072, mean_prior_absolute_error: 0.4742, number_of_instances: 2175, precision: 0.9401, predictive_accuracy: 0.9393, prior_entropy: 0.9627, recall: 0.9393, relative_absolute_error: 0.1519, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2194, root_relative_squared_error: 0.4506, scimark_benchmark: 917.5013, usercpu_time_millis: 450, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9568, kappa: 0.9091, kb_relative_information_score: 1838.4586, mean_absolute_error: 0.0798, mean_prior_absolute_error: 0.4742, number_of_instances: 2175, precision: 0.957, predictive_accuracy: 0.9568, prior_entropy: 0.9627, recall: 0.9568, relative_absolute_error: 0.1682, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1854, root_relative_squared_error: 0.3808, scimark_benchmark: 936.9595, usercpu_time_millis: 120, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9564, kappa: 0.9084, kb_relative_information_score: 1808.6552, mean_absolute_error: 0.0896, mean_prior_absolute_error: 0.4742, number_of_instances: 2175, precision: 0.9568, predictive_accuracy: 0.9563, prior_entropy: 0.9627, recall: 0.9563, relative_absolute_error: 0.1889, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1852, root_relative_squared_error: 0.3804, scimark_benchmark: 936.2727, usercpu_time_millis: 3300, usercpu_time_millis_testing: 1650, usercpu_time_millis_training: 1650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.956, kappa: 0.9075, kb_relative_information_score: 1806.3834, mean_absolute_error: 0.0899, mean_prior_absolute_error: 0.4742, number_of_instances: 2175, precision: 0.9564, predictive_accuracy: 0.9559, prior_entropy: 0.9627, recall: 0.9559, relative_absolute_error: 0.1896, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1876, root_relative_squared_error: 0.3852, scimark_benchmark: 934.695, usercpu_time_millis: 1860, usercpu_time_millis_testing: 1000, usercpu_time_millis_training: 860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.956, kappa: 0.9074, kb_relative_information_score: 1809.9568, mean_absolute_error: 0.0889, mean_prior_absolute_error: 0.4742, number_of_instances: 2175, precision: 0.9564, predictive_accuracy: 0.9559, prior_entropy: 0.9627, recall: 0.9559, relative_absolute_error: 0.1875, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.188, root_relative_squared_error: 0.3862, scimark_benchmark: 917.2109, usercpu_time_millis: 670, usercpu_time_millis_testing: 220, usercpu_time_millis_training: 450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9573, kappa: 0.9102, kb_relative_information_score: 1810.3324, mean_absolute_error: 0.0886, mean_prior_absolute_error: 0.4742, number_of_instances: 2175, precision: 0.9576, predictive_accuracy: 0.9572, prior_entropy: 0.9627, recall: 0.9572, relative_absolute_error: 0.1868, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1889, root_relative_squared_error: 0.388, scimark_benchmark: 899.0468, usercpu_time_millis: 310, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9532, kappa: 0.9014, kb_relative_information_score: 1808.9018, mean_absolute_error: 0.0886, mean_prior_absolute_error: 0.4742, number_of_instances: 2175, precision: 0.9533, predictive_accuracy: 0.9531, prior_entropy: 0.9627, recall: 0.9531, relative_absolute_error: 0.1868, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1919, root_relative_squared_error: 0.3942, scimark_benchmark: 926.5859, usercpu_time_millis: 170, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9758, f_measure: 0.9472, kappa: 0.8888, kb_relative_information_score: 1898.5843, mean_absolute_error: 0.0608, mean_prior_absolute_error: 0.4742, number_of_instances: 2175, precision: 0.9474, predictive_accuracy: 0.9471, prior_entropy: 0.9627, recall: 0.9471, relative_absolute_error: 0.1282, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2138, root_relative_squared_error: 0.4391, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9758, f_measure: 0.9472, kappa: 0.8888, kb_relative_information_score: 1898.5843, mean_absolute_error: 0.0608, mean_prior_absolute_error: 0.4742, number_of_instances: 2175, precision: 0.9474, predictive_accuracy: 0.9471, prior_entropy: 0.9627, recall: 0.9471, relative_absolute_error: 0.1282, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2138, root_relative_squared_error: 0.4391, scimark_benchmark: 926.5859, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9758, f_measure: 0.9472, kappa: 0.8888, kb_relative_information_score: 1898.5843, mean_absolute_error: 0.0608, mean_prior_absolute_error: 0.4742, number_of_instances: 2175, precision: 0.9474, predictive_accuracy: 0.9471, prior_entropy: 0.9627, recall: 0.9471, relative_absolute_error: 0.1282, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2138, root_relative_squared_error: 0.4391, scimark_benchmark: 894.7131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9758, f_measure: 0.9472, kappa: 0.8888, kb_relative_information_score: 1898.5843, mean_absolute_error: 0.0608, mean_prior_absolute_error: 0.4742, number_of_instances: 2175, precision: 0.9474, predictive_accuracy: 0.9471, prior_entropy: 0.9627, recall: 0.9471, relative_absolute_error: 0.1282, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2138, root_relative_squared_error: 0.4391, scimark_benchmark: 926.5859, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9785, f_measure: 0.9463, kappa: 0.8869, kb_relative_information_score: 1899.5493, mean_absolute_error: 0.0606, mean_prior_absolute_error: 0.4742, number_of_instances: 2175, precision: 0.9465, predictive_accuracy: 0.9462, prior_entropy: 0.9627, recall: 0.9462, relative_absolute_error: 0.1278, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2108, root_relative_squared_error: 0.4329, scimark_benchmark: 894.7131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4991, f_measure: 0.4669, kb_relative_information_score: -1.1365, mean_absolute_error: 0.4743, mean_prior_absolute_error: 0.4742, number_of_instances: 2175, precision: 0.3767, predictive_accuracy: 0.6138, prior_entropy: 0.9627, recall: 0.6138, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.4869, root_relative_squared_error: 1, scimark_benchmark: 929.0296,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9757, f_measure: 0.9546, kappa: 0.9046, kb_relative_information_score: 1961.2743, mean_absolute_error: 0.0455, mean_prior_absolute_error: 0.4742, number_of_instances: 2175, precision: 0.955, predictive_accuracy: 0.9545, prior_entropy: 0.9627, recall: 0.9545, relative_absolute_error: 0.0959, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2071, root_relative_squared_error: 0.4254, scimark_benchmark: 938.3115, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
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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