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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: 0.9822, 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: 1354.5533, usercpu_time_millis: 440, 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: 1310.6554, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
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: 1310.3168,
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: 1338.6772, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.9528, kappa: 0.9007, kb_relative_information_score: 1811.0123, mean_absolute_error: 0.0878, mean_prior_absolute_error: 0.4742, number_of_instances: 2175, precision: 0.9532, predictive_accuracy: 0.9526, prior_entropy: 0.9627, recall: 0.9526, relative_absolute_error: 0.1851, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1998, root_relative_squared_error: 0.4104, scimark_benchmark: 1332.9478, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
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: 1337.7902,
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: 1332.7555,
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: 1320.1171, 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: 1311.7317,
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: 1326.0745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9509, kappa: 0.8965, kb_relative_information_score: 1857.5546, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.4742, number_of_instances: 2175, precision: 0.951, predictive_accuracy: 0.9508, prior_entropy: 0.9627, recall: 0.9508, relative_absolute_error: 0.1558, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1937, root_relative_squared_error: 0.3979, scimark_benchmark: 1351.1238, usercpu_time_millis: 3370, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 3330,
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: 1313.8988, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
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: 1344.7524, usercpu_time_millis: 450, usercpu_time_millis_training: 450,
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: 1344.7524,
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: 1299.3719, 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: 1350.9437, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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: 1350.007, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
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: 1347.993, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
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: 938.0414,
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: 1297.2338,
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: 940.3347, 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: 1322.7257, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
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: 932.5646,
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: 932.5646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9509, kappa: 0.8965, kb_relative_information_score: 1857.5546, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.4742, number_of_instances: 2175, precision: 0.951, predictive_accuracy: 0.9508, prior_entropy: 0.9627, recall: 0.9508, relative_absolute_error: 0.1558, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1937, root_relative_squared_error: 0.3979, scimark_benchmark: 938.0414, usercpu_time_millis: 4790, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 4760,
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: 918.0213, 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: 918.0213, 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: 1288.1375,
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: 1371.9645,
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: 1347.917, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
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: 1315.933, usercpu_time_millis: 60, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9509, kappa: 0.8965, kb_relative_information_score: 1857.5546, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.4742, number_of_instances: 2175, precision: 0.951, predictive_accuracy: 0.9508, prior_entropy: 0.9627, recall: 0.9508, relative_absolute_error: 0.1558, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1937, root_relative_squared_error: 0.3979, scimark_benchmark: 1352.2099, usercpu_time_millis: 2930, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 2890,
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: 1345.7204, usercpu_time_millis: 100, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 80,
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: 1151.6869,
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: 942.9708, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9699, f_measure: 0.9471, kappa: 0.8884, kb_relative_information_score: 1909.8087, mean_absolute_error: 0.0576, mean_prior_absolute_error: 0.4742, number_of_instances: 2175, precision: 0.9471, predictive_accuracy: 0.9471, prior_entropy: 0.9627, recall: 0.9471, relative_absolute_error: 0.1216, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2122, root_relative_squared_error: 0.4358, scimark_benchmark: 1327.2954, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
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: 1320.9026, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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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: 1329.8902, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
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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: 1323.237, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9696, f_measure: 0.9512, kappa: 0.8971, kb_relative_information_score: 1956.6029, mean_absolute_error: 0.0466, mean_prior_absolute_error: 0.4742, number_of_instances: 2175, precision: 0.9512, predictive_accuracy: 0.9513, prior_entropy: 0.9627, recall: 0.9513, relative_absolute_error: 0.0983, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1965, root_relative_squared_error: 0.4035, scimark_benchmark: 1332.2926, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9719, f_measure: 0.9385, kappa: 0.8705, kb_relative_information_score: 1881.5008, mean_absolute_error: 0.0628, mean_prior_absolute_error: 0.4742, number_of_instances: 2175, precision: 0.9387, predictive_accuracy: 0.9384, prior_entropy: 0.9627, recall: 0.9384, relative_absolute_error: 0.1325, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2357, root_relative_squared_error: 0.4841, scimark_benchmark: 1341.8761, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.957, kappa: 0.9097, kb_relative_information_score: 1857.2188, mean_absolute_error: 0.0766, mean_prior_absolute_error: 0.4742, number_of_instances: 2175, precision: 0.958, predictive_accuracy: 0.9568, prior_entropy: 0.9627, recall: 0.9568, relative_absolute_error: 0.1615, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1838, root_relative_squared_error: 0.3776, scimark_benchmark: 1343.4572, usercpu_time_millis: 220, usercpu_time_millis_training: 220,
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: 1366.0221, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9776, f_measure: 0.9277, kappa: 0.8483, kb_relative_information_score: 1805.5875, mean_absolute_error: 0.081, mean_prior_absolute_error: 0.4742, number_of_instances: 2175, precision: 0.9288, predictive_accuracy: 0.9274, prior_entropy: 0.9627, recall: 0.9274, relative_absolute_error: 0.1708, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2319, root_relative_squared_error: 0.4763, scimark_benchmark: 915.6729, usercpu_time_millis: 530, usercpu_time_millis_testing: 530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9146, f_measure: 0.917, kappa: 0.8253, kb_relative_information_score: 1783.8825, mean_absolute_error: 0.0832, mean_prior_absolute_error: 0.4742, number_of_instances: 2175, precision: 0.9173, predictive_accuracy: 0.9168, prior_entropy: 0.9627, recall: 0.9168, relative_absolute_error: 0.1755, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2885, root_relative_squared_error: 0.5925, scimark_benchmark: 854.5188, usercpu_time_millis: 90, usercpu_time_millis_testing: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9751, f_measure: 0.9154, kappa: 0.8227, kb_relative_information_score: 1172.5323, mean_absolute_error: 0.2449, mean_prior_absolute_error: 0.4742, number_of_instances: 2175, precision: 0.9169, predictive_accuracy: 0.9149, prior_entropy: 0.9627, recall: 0.9149, relative_absolute_error: 0.5164, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2949, root_relative_squared_error: 0.6056, scimark_benchmark: 1339.4189,
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: 938.343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9528, kappa: 0.9007, kb_relative_information_score: 1617.4921, mean_absolute_error: 0.14, mean_prior_absolute_error: 0.4742, number_of_instances: 2175, precision: 0.9532, predictive_accuracy: 0.9526, prior_entropy: 0.9627, recall: 0.9526, relative_absolute_error: 0.2953, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2079, root_relative_squared_error: 0.427, scimark_benchmark: 1331.6907, usercpu_time_millis: 200, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.951, kappa: 0.897, kb_relative_information_score: 1622.5158, mean_absolute_error: 0.1382, mean_prior_absolute_error: 0.4742, number_of_instances: 2175, precision: 0.9516, predictive_accuracy: 0.9508, prior_entropy: 0.9627, recall: 0.9508, relative_absolute_error: 0.2913, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2096, root_relative_squared_error: 0.4304, scimark_benchmark: 860.584, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9473, kappa: 0.889, kb_relative_information_score: 1657.4457, mean_absolute_error: 0.1288, mean_prior_absolute_error: 0.4742, number_of_instances: 2175, precision: 0.9476, predictive_accuracy: 0.9471, prior_entropy: 0.9627, recall: 0.9471, relative_absolute_error: 0.2717, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2065, root_relative_squared_error: 0.4241, scimark_benchmark: 1320.2556, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.9459, kappa: 0.8861, kb_relative_information_score: 1894.0195, mean_absolute_error: 0.0614, mean_prior_absolute_error: 0.4742, number_of_instances: 2175, precision: 0.9462, predictive_accuracy: 0.9457, prior_entropy: 0.9627, recall: 0.9457, relative_absolute_error: 0.1296, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2147, root_relative_squared_error: 0.441, scimark_benchmark: 1028.5889, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.983, f_measure: 0.9519, kappa: 0.899, kb_relative_information_score: 1877.8818, mean_absolute_error: 0.0682, mean_prior_absolute_error: 0.4742, number_of_instances: 2175, precision: 0.9526, predictive_accuracy: 0.9517, prior_entropy: 0.9627, recall: 0.9517, relative_absolute_error: 0.1439, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1972, root_relative_squared_error: 0.405, scimark_benchmark: 925.4974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.9565, kappa: 0.9087, kb_relative_information_score: 1852.4051, mean_absolute_error: 0.0778, mean_prior_absolute_error: 0.4742, number_of_instances: 2175, precision: 0.9575, 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: 0.1848, root_relative_squared_error: 0.3795, scimark_benchmark: 942.6843, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.9565, kappa: 0.9087, kb_relative_information_score: 1853.6915, mean_absolute_error: 0.0773, mean_prior_absolute_error: 0.4742, number_of_instances: 2175, precision: 0.9575, predictive_accuracy: 0.9563, prior_entropy: 0.9627, recall: 0.9563, relative_absolute_error: 0.163, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1865, root_relative_squared_error: 0.3831, scimark_benchmark: 933.3136, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.972, f_measure: 0.9555, kappa: 0.9066, kb_relative_information_score: 1858.2413, mean_absolute_error: 0.0761, mean_prior_absolute_error: 0.4742, number_of_instances: 2175, precision: 0.9561, predictive_accuracy: 0.9554, prior_entropy: 0.9627, recall: 0.9554, relative_absolute_error: 0.1604, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1951, root_relative_squared_error: 0.4007, scimark_benchmark: 939.9176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9766, f_measure: 0.9504, kappa: 0.8956, kb_relative_information_score: 1928.7349, mean_absolute_error: 0.0529, mean_prior_absolute_error: 0.4742, number_of_instances: 2175, precision: 0.9506, predictive_accuracy: 0.9503, prior_entropy: 0.9627, recall: 0.9503, relative_absolute_error: 0.1116, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2186, root_relative_squared_error: 0.4489, scimark_benchmark: 918.6005, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.981, f_measure: 0.9495, kappa: 0.8937, kb_relative_information_score: 1931.3034, mean_absolute_error: 0.0523, mean_prior_absolute_error: 0.4742, number_of_instances: 2175, precision: 0.9498, predictive_accuracy: 0.9494, prior_entropy: 0.9627, recall: 0.9494, relative_absolute_error: 0.1102, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2124, root_relative_squared_error: 0.4362, scimark_benchmark: 1307.4861, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.9504, kappa: 0.8957, kb_relative_information_score: 1935.3623, mean_absolute_error: 0.0516, mean_prior_absolute_error: 0.4742, number_of_instances: 2175, precision: 0.9507, predictive_accuracy: 0.9503, prior_entropy: 0.9627, recall: 0.9503, relative_absolute_error: 0.1089, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2058, root_relative_squared_error: 0.4226, scimark_benchmark: 909.1698, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9854, f_measure: 0.9522, kappa: 0.8994, kb_relative_information_score: 1927.3682, mean_absolute_error: 0.054, mean_prior_absolute_error: 0.4742, number_of_instances: 2175, precision: 0.9524, predictive_accuracy: 0.9522, prior_entropy: 0.9627, recall: 0.9522, relative_absolute_error: 0.1138, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2003, root_relative_squared_error: 0.4114, scimark_benchmark: 942.9518, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, f_measure: 0.9482, kappa: 0.8909, kb_relative_information_score: 1913.0794, mean_absolute_error: 0.0578, mean_prior_absolute_error: 0.4742, number_of_instances: 2175, precision: 0.9485, predictive_accuracy: 0.948, prior_entropy: 0.9627, recall: 0.948, relative_absolute_error: 0.1219, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1976, root_relative_squared_error: 0.4059, scimark_benchmark: 1313.9994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9789, f_measure: 0.9201, kappa: 0.8333, kb_relative_information_score: 1752.4256, mean_absolute_error: 0.0931, mean_prior_absolute_error: 0.4742, number_of_instances: 2175, precision: 0.9235, predictive_accuracy: 0.9195, prior_entropy: 0.9627, recall: 0.9195, relative_absolute_error: 0.1964, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2362, root_relative_squared_error: 0.4851, scimark_benchmark: 924.3698, usercpu_time_millis: 40, usercpu_time_millis_testing: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9751, f_measure: 0.9219, kappa: 0.8367, kb_relative_information_score: 1764.6794, mean_absolute_error: 0.0898, mean_prior_absolute_error: 0.4742, number_of_instances: 2175, precision: 0.9243, predictive_accuracy: 0.9214, prior_entropy: 0.9627, recall: 0.9214, relative_absolute_error: 0.1893, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2394, root_relative_squared_error: 0.4918, scimark_benchmark: 869.6028, usercpu_time_millis: 30, usercpu_time_millis_testing: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9046, f_measure: 0.9123, kappa: 0.8145, kb_relative_information_score: 1764.4736, mean_absolute_error: 0.0874, mean_prior_absolute_error: 0.4742, number_of_instances: 2175, precision: 0.9124, predictive_accuracy: 0.9126, prior_entropy: 0.9627, recall: 0.9126, relative_absolute_error: 0.1842, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2956, root_relative_squared_error: 0.6071, scimark_benchmark: 940.3347,

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