OpenML
Supervised Classification on JapaneseVowels

Supervised Classification on JapaneseVowels

Task 3839 Supervised Classification JapaneseVowels 562 runs submitted
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  • study_1 study_107 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9682, f_measure: 0.9607, kappa: 0.8543, kb_relative_information_score: 7867.0062, mean_absolute_error: 0.0531, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9606, predictive_accuracy: 0.961, prior_entropy: 0.6393, recall: 0.961, relative_absolute_error: 0.1956, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1817, root_relative_squared_error: 0.493, scimark_benchmark: 1261.7298, usercpu_time_millis: 120, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9731, kappa: 0.9019, kb_relative_information_score: 8415.4688, mean_absolute_error: 0.036, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9736, predictive_accuracy: 0.9728, prior_entropy: 0.6393, recall: 0.9728, relative_absolute_error: 0.1327, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1424, root_relative_squared_error: 0.3866, scimark_benchmark: 1345.7204, usercpu_time_millis: 120, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9682, f_measure: 0.9607, kappa: 0.8543, kb_relative_information_score: 7867.0062, mean_absolute_error: 0.0531, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9606, predictive_accuracy: 0.961, prior_entropy: 0.6393, recall: 0.961, relative_absolute_error: 0.1956, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1817, root_relative_squared_error: 0.493, scimark_benchmark: 933.1165, usercpu_time_millis: 210, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9731, kappa: 0.9019, kb_relative_information_score: 8415.4688, mean_absolute_error: 0.036, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9736, predictive_accuracy: 0.9728, prior_entropy: 0.6393, recall: 0.9728, relative_absolute_error: 0.1327, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1424, root_relative_squared_error: 0.3866, scimark_benchmark: 933.1165, usercpu_time_millis: 190, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.96, kappa: 0.8547, kb_relative_information_score: 7786.1679, mean_absolute_error: 0.0498, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9608, predictive_accuracy: 0.9595, prior_entropy: 0.6393, recall: 0.9595, relative_absolute_error: 0.1835, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1707, root_relative_squared_error: 0.4631, scimark_benchmark: 1354.3488, usercpu_time_millis: 100, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9731, kappa: 0.9019, kb_relative_information_score: 8415.4688, mean_absolute_error: 0.036, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9736, predictive_accuracy: 0.9728, prior_entropy: 0.6393, recall: 0.9728, relative_absolute_error: 0.1327, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1424, root_relative_squared_error: 0.3866, scimark_benchmark: 1354.3488, usercpu_time_millis: 110, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9731, kappa: 0.9019, kb_relative_information_score: 8415.4688, mean_absolute_error: 0.036, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9736, predictive_accuracy: 0.9728, prior_entropy: 0.6393, recall: 0.9728, relative_absolute_error: 0.1327, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1424, root_relative_squared_error: 0.3866, scimark_benchmark: 1380.2233, usercpu_time_millis: 110, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.96, kappa: 0.8547, kb_relative_information_score: 7786.1679, mean_absolute_error: 0.0498, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9608, predictive_accuracy: 0.9595, prior_entropy: 0.6393, recall: 0.9595, relative_absolute_error: 0.1835, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1707, root_relative_squared_error: 0.4631, scimark_benchmark: 1343.2125, usercpu_time_millis: 130, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.989, kappa: 0.9593, kb_relative_information_score: 8860.9781, mean_absolute_error: 0.0324, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.989, predictive_accuracy: 0.9891, prior_entropy: 0.6393, recall: 0.9891, relative_absolute_error: 0.1192, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.0981, root_relative_squared_error: 0.2662, scimark_benchmark: 1354.7191, usercpu_time_millis: 3320, usercpu_time_millis_testing: 230, usercpu_time_millis_training: 3090,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9595, kappa: 0.8495, kb_relative_information_score: 6718.6834, mean_absolute_error: 0.0872, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9593, predictive_accuracy: 0.9598, prior_entropy: 0.6393, recall: 0.9598, relative_absolute_error: 0.3209, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1786, root_relative_squared_error: 0.4846, scimark_benchmark: 1345.3152, usercpu_time_millis: 1110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9682, f_measure: 0.9607, kappa: 0.8543, kb_relative_information_score: 7867.0062, mean_absolute_error: 0.0531, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9606, predictive_accuracy: 0.961, prior_entropy: 0.6393, recall: 0.961, relative_absolute_error: 0.1956, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1817, root_relative_squared_error: 0.493, scimark_benchmark: 1341.2341, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9595, kappa: 0.8495, kb_relative_information_score: 6718.6834, mean_absolute_error: 0.0872, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9593, predictive_accuracy: 0.9598, prior_entropy: 0.6393, recall: 0.9598, relative_absolute_error: 0.3209, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1786, root_relative_squared_error: 0.4846, scimark_benchmark: 1309.4998, usercpu_time_millis: 910, usercpu_time_millis_training: 910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9607, kappa: 0.8527, kb_relative_information_score: 7311.2074, mean_absolute_error: 0.0688, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9606, predictive_accuracy: 0.9613, prior_entropy: 0.6393, recall: 0.9613, relative_absolute_error: 0.2532, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1725, root_relative_squared_error: 0.4682, scimark_benchmark: 1342.1678, usercpu_time_millis: 2270, usercpu_time_millis_training: 2270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9682, f_measure: 0.9607, kappa: 0.8543, kb_relative_information_score: 7867.0062, mean_absolute_error: 0.0531, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9606, predictive_accuracy: 0.961, prior_entropy: 0.6393, recall: 0.961, relative_absolute_error: 0.1956, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1817, root_relative_squared_error: 0.493, scimark_benchmark: 1335.643, usercpu_time_millis: 110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9595, kappa: 0.8495, kb_relative_information_score: 6718.6834, mean_absolute_error: 0.0872, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9593, predictive_accuracy: 0.9598, prior_entropy: 0.6393, recall: 0.9598, relative_absolute_error: 0.3209, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1786, root_relative_squared_error: 0.4846, scimark_benchmark: 1309.4998, usercpu_time_millis: 940, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 930,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9682, f_measure: 0.9607, kappa: 0.8543, kb_relative_information_score: 7867.0062, mean_absolute_error: 0.0531, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9606, predictive_accuracy: 0.961, prior_entropy: 0.6393, recall: 0.961, relative_absolute_error: 0.1956, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1817, root_relative_squared_error: 0.493, scimark_benchmark: 922.1419, usercpu_time_millis: 140, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9682, f_measure: 0.9607, kappa: 0.8543, kb_relative_information_score: 7867.0062, mean_absolute_error: 0.0531, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9606, predictive_accuracy: 0.961, prior_entropy: 0.6393, recall: 0.961, relative_absolute_error: 0.1956, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1817, root_relative_squared_error: 0.493, scimark_benchmark: 950.6776, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9595, kappa: 0.8495, kb_relative_information_score: 6718.6834, mean_absolute_error: 0.0872, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9593, predictive_accuracy: 0.9598, prior_entropy: 0.6393, recall: 0.9598, relative_absolute_error: 0.3209, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1786, root_relative_squared_error: 0.4846, scimark_benchmark: 1449.4352, usercpu_time_millis: 1040, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1030,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.9748, kappa: 0.9072, kb_relative_information_score: 8625.5575, mean_absolute_error: 0.0325, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9748, predictive_accuracy: 0.9749, prior_entropy: 0.6393, recall: 0.9749, relative_absolute_error: 0.1196, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.146, root_relative_squared_error: 0.3962, scimark_benchmark: 1313.5052, usercpu_time_millis: 6820, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 6740,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.902, f_measure: 0.9623, kappa: 0.857, kb_relative_information_score: 8323.1189, mean_absolute_error: 0.0364, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9634, predictive_accuracy: 0.9636, prior_entropy: 0.6393, recall: 0.9636, relative_absolute_error: 0.1342, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1909, root_relative_squared_error: 0.5181, scimark_benchmark: 916.6405, usercpu_time_millis: 21740, usercpu_time_millis_testing: 8340, usercpu_time_millis_training: 13400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9855, kappa: 0.9464, kb_relative_information_score: 9187.4117, mean_absolute_error: 0.0175, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9855, predictive_accuracy: 0.9855, prior_entropy: 0.6393, recall: 0.9855, relative_absolute_error: 0.0643, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1091, root_relative_squared_error: 0.2962, scimark_benchmark: 1337.8643, usercpu_time_millis: 24830, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 24770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9789, kappa: 0.9208, kb_relative_information_score: 7687.6287, mean_absolute_error: 0.0718, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9794, predictive_accuracy: 0.9793, prior_entropy: 0.6393, recall: 0.9793, relative_absolute_error: 0.2645, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1397, root_relative_squared_error: 0.3791, scimark_benchmark: 1308.3432, usercpu_time_millis: 1050, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 960,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9682, f_measure: 0.9607, kappa: 0.8543, kb_relative_information_score: 7867.0062, mean_absolute_error: 0.0531, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9606, predictive_accuracy: 0.961, prior_entropy: 0.6393, recall: 0.961, relative_absolute_error: 0.1956, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1817, root_relative_squared_error: 0.493, scimark_benchmark: 939.5088, usercpu_time_millis: 150, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9595, kappa: 0.8495, kb_relative_information_score: 6718.6834, mean_absolute_error: 0.0872, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9593, predictive_accuracy: 0.9598, prior_entropy: 0.6393, recall: 0.9598, relative_absolute_error: 0.3209, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1786, root_relative_squared_error: 0.4846, scimark_benchmark: 938.0414, usercpu_time_millis: 1030, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1020,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9576, f_measure: 0.9725, kappa: 0.8983, kb_relative_information_score: 8543.6511, mean_absolute_error: 0.0349, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9724, predictive_accuracy: 0.9726, prior_entropy: 0.6393, recall: 0.9726, relative_absolute_error: 0.1287, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1595, root_relative_squared_error: 0.4327, scimark_benchmark: 1371.9645, usercpu_time_millis: 1600, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9595, kappa: 0.8495, kb_relative_information_score: 6718.6834, mean_absolute_error: 0.0872, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9593, predictive_accuracy: 0.9598, prior_entropy: 0.6393, recall: 0.9598, relative_absolute_error: 0.3209, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1786, root_relative_squared_error: 0.4846, scimark_benchmark: 1348.8637, usercpu_time_millis: 960, usercpu_time_millis_training: 960,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9645, kappa: 0.8681, kb_relative_information_score: 7913.9104, mean_absolute_error: 0.0499, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9643, predictive_accuracy: 0.9648, prior_entropy: 0.6393, recall: 0.9648, relative_absolute_error: 0.1837, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1596, root_relative_squared_error: 0.4332, scimark_benchmark: 1313.6093, usercpu_time_millis: 160570, usercpu_time_millis_testing: 4450, usercpu_time_millis_training: 156120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9536, f_measure: 0.9016, kappa: 0.6056, kb_relative_information_score: 2440.0375, mean_absolute_error: 0.17, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9142, predictive_accuracy: 0.9129, prior_entropy: 0.6393, recall: 0.9129, relative_absolute_error: 0.6259, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.2843, root_relative_squared_error: 0.7714, scimark_benchmark: 912.7324, usercpu_time_millis: 626600, usercpu_time_millis_testing: 626600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9982, kappa: 0.9933, kb_relative_information_score: 9874.8932, mean_absolute_error: 0.0019, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9982, predictive_accuracy: 0.9982, prior_entropy: 0.6393, recall: 0.9982, relative_absolute_error: 0.0071, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.0425, root_relative_squared_error: 0.1154, scimark_benchmark: 1305.7138, usercpu_time_millis: 8200, usercpu_time_millis_testing: 8200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9595, kappa: 0.8495, kb_relative_information_score: 6718.6834, mean_absolute_error: 0.0872, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9593, predictive_accuracy: 0.9598, prior_entropy: 0.6393, recall: 0.9598, relative_absolute_error: 0.3209, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1786, root_relative_squared_error: 0.4846, scimark_benchmark: 1305.7138, usercpu_time_millis: 930, usercpu_time_millis_training: 930,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9802, kappa: 0.9259, kb_relative_information_score: 7661.5786, mean_absolute_error: 0.0741, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9807, predictive_accuracy: 0.9806, prior_entropy: 0.6393, recall: 0.9806, relative_absolute_error: 0.2728, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1384, root_relative_squared_error: 0.3757, scimark_benchmark: 1345.3152, usercpu_time_millis: 10650, usercpu_time_millis_testing: 1560, usercpu_time_millis_training: 9090,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.9745, kappa: 0.9055, kb_relative_information_score: 8439.0147, mean_absolute_error: 0.0382, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9744, predictive_accuracy: 0.9746, prior_entropy: 0.6393, recall: 0.9746, relative_absolute_error: 0.1406, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1363, root_relative_squared_error: 0.3699, scimark_benchmark: 1329.8902, usercpu_time_millis: 1310, usercpu_time_millis_training: 1310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9857, f_measure: 0.9518, kappa: 0.8197, kb_relative_information_score: 7008.8477, mean_absolute_error: 0.0777, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9516, predictive_accuracy: 0.9526, prior_entropy: 0.6393, recall: 0.9526, relative_absolute_error: 0.286, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1799, root_relative_squared_error: 0.4881, scimark_benchmark: 1358.4523, usercpu_time_millis: 340, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9837, kappa: 0.9398, kb_relative_information_score: 8626.8984, mean_absolute_error: 0.0365, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9837, predictive_accuracy: 0.9838, prior_entropy: 0.6393, recall: 0.9838, relative_absolute_error: 0.1344, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1147, root_relative_squared_error: 0.3113, scimark_benchmark: 1270.2428, usercpu_time_millis: 11060, usercpu_time_millis_testing: 310, usercpu_time_millis_training: 10750,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9516, f_measure: 0.9691, kappa: 0.8861, kb_relative_information_score: 8486.4655, mean_absolute_error: 0.0345, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9691, predictive_accuracy: 0.9692, prior_entropy: 0.6393, recall: 0.9692, relative_absolute_error: 0.127, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1712, root_relative_squared_error: 0.4646, scimark_benchmark: 1355.8341, usercpu_time_millis: 240, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 220,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9604, f_measure: 0.9673, kappa: 0.8803, kb_relative_information_score: 8334.1574, mean_absolute_error: 0.0388, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9675, predictive_accuracy: 0.9672, prior_entropy: 0.6393, recall: 0.9672, relative_absolute_error: 0.1429, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1681, root_relative_squared_error: 0.4563, scimark_benchmark: 869.6028, usercpu_time_millis: 340, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.974, kappa: 0.9038, kb_relative_information_score: 8551.0736, mean_absolute_error: 0.0342, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.974, predictive_accuracy: 0.9742, prior_entropy: 0.6393, recall: 0.9742, relative_absolute_error: 0.1258, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1356, root_relative_squared_error: 0.368, scimark_benchmark: 1318.1432, usercpu_time_millis: 11940, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 11870,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9707, kappa: 0.8915, kb_relative_information_score: 8294.1922, mean_absolute_error: 0.0403, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9706, predictive_accuracy: 0.9708, prior_entropy: 0.6393, recall: 0.9708, relative_absolute_error: 0.1484, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1454, root_relative_squared_error: 0.3947, scimark_benchmark: 1250.8301, usercpu_time_millis: 6780, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 6760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.966, kappa: 0.8742, kb_relative_information_score: 8010.9744, mean_absolute_error: 0.048, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9659, predictive_accuracy: 0.9661, prior_entropy: 0.6393, recall: 0.9661, relative_absolute_error: 0.1767, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1554, root_relative_squared_error: 0.4217, scimark_benchmark: 1304.6687, usercpu_time_millis: 2780, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 2760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, f_measure: 0.9614, kappa: 0.8575, kb_relative_information_score: 7402.9668, mean_absolute_error: 0.0635, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9613, predictive_accuracy: 0.9615, prior_entropy: 0.6393, recall: 0.9615, relative_absolute_error: 0.2338, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.174, root_relative_squared_error: 0.4722, scimark_benchmark: 1318.1432, usercpu_time_millis: 1350, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9755, f_measure: 0.9439, kappa: 0.7969, kb_relative_information_score: 6250.143, mean_absolute_error: 0.0935, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9454, predictive_accuracy: 0.943, prior_entropy: 0.6393, recall: 0.943, relative_absolute_error: 0.3443, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.2086, root_relative_squared_error: 0.5662, scimark_benchmark: 876.0664, usercpu_time_millis: 570, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9937, kappa: 0.9766, kb_relative_information_score: 9422.8897, mean_absolute_error: 0.0134, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9937, predictive_accuracy: 0.9937, prior_entropy: 0.6393, recall: 0.9937, relative_absolute_error: 0.0494, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.0734, root_relative_squared_error: 0.1992, scimark_benchmark: 1321.9426, usercpu_time_millis: 9280, usercpu_time_millis_testing: 9270, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9972, kappa: 0.9896, kb_relative_information_score: 9643.695, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9972, predictive_accuracy: 0.9972, prior_entropy: 0.6393, recall: 0.9972, relative_absolute_error: 0.0265, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.0557, root_relative_squared_error: 0.1511, scimark_benchmark: 854.5188, usercpu_time_millis: 12600, usercpu_time_millis_testing: 12600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9381, f_measure: 0.9626, kappa: 0.8634, kb_relative_information_score: 8269.0569, mean_absolute_error: 0.0376, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.963, predictive_accuracy: 0.9624, prior_entropy: 0.6393, recall: 0.9624, relative_absolute_error: 0.1386, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.194, root_relative_squared_error: 0.5266, scimark_benchmark: 940.3347, usercpu_time_millis: 680, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.807, f_measure: 0.9304, kappa: 0.7247, kb_relative_information_score: 7115.7339, mean_absolute_error: 0.0633, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9403, predictive_accuracy: 0.9367, prior_entropy: 0.6393, recall: 0.9367, relative_absolute_error: 0.2332, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.2517, root_relative_squared_error: 0.683, scimark_benchmark: 869.6028, usercpu_time_millis: 70100, usercpu_time_millis_testing: 4850, usercpu_time_millis_training: 65250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9195, f_measure: 0.9634, kappa: 0.8634, kb_relative_information_score: 8341.1396, mean_absolute_error: 0.036, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9633, predictive_accuracy: 0.964, prior_entropy: 0.6393, recall: 0.964, relative_absolute_error: 0.1327, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1898, root_relative_squared_error: 0.5152, scimark_benchmark: 1287.514, usercpu_time_millis: 350, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9854, kappa: 0.9461, kb_relative_information_score: 8956.2466, mean_absolute_error: 0.0268, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9854, predictive_accuracy: 0.9854, prior_entropy: 0.6393, recall: 0.9854, relative_absolute_error: 0.0988, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1033, root_relative_squared_error: 0.2804, scimark_benchmark: 933.3136, usercpu_time_millis: 3586460, usercpu_time_millis_testing: 17390, usercpu_time_millis_training: 3569070,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9641, kappa: 0.8665, kb_relative_information_score: 7822.3519, mean_absolute_error: 0.0527, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.964, predictive_accuracy: 0.9645, prior_entropy: 0.6393, recall: 0.9645, relative_absolute_error: 0.1941, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1609, root_relative_squared_error: 0.4366, scimark_benchmark: 942.9708, usercpu_time_millis: 3120, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 3110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9252, f_measure: 0.9632, kappa: 0.8634, kb_relative_information_score: 8318.6137, mean_absolute_error: 0.0365, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.963, predictive_accuracy: 0.9635, prior_entropy: 0.6393, recall: 0.9635, relative_absolute_error: 0.1345, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1912, root_relative_squared_error: 0.5188, scimark_benchmark: 1331.6907, usercpu_time_millis: 980, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 970,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7669, f_measure: 0.9134, kappa: 0.6534, kb_relative_information_score: 6507.5362, mean_absolute_error: 0.0769, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9277, predictive_accuracy: 0.9231, prior_entropy: 0.6393, recall: 0.9231, relative_absolute_error: 0.2831, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.2773, root_relative_squared_error: 0.7526, scimark_benchmark: 1337.7959, usercpu_time_millis: 17650, usercpu_time_millis_testing: 4390, usercpu_time_millis_training: 13260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.96, kappa: 0.8547, kb_relative_information_score: 7786.1679, mean_absolute_error: 0.0498, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9608, predictive_accuracy: 0.9595, prior_entropy: 0.6393, recall: 0.9595, relative_absolute_error: 0.1835, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1707, root_relative_squared_error: 0.4631, scimark_benchmark: 1028.5889, usercpu_time_millis: 150, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9777, kappa: 0.9186, kb_relative_information_score: 8665.2974, mean_absolute_error: 0.0305, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.978, predictive_accuracy: 0.9775, prior_entropy: 0.6393, recall: 0.9775, relative_absolute_error: 0.1123, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1313, root_relative_squared_error: 0.3564, scimark_benchmark: 1073.494, usercpu_time_millis: 460, usercpu_time_millis_testing: 310, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9731, kappa: 0.9019, kb_relative_information_score: 8415.4688, mean_absolute_error: 0.036, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9736, predictive_accuracy: 0.9728, prior_entropy: 0.6393, recall: 0.9728, relative_absolute_error: 0.1327, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1424, root_relative_squared_error: 0.3866, scimark_benchmark: 1331.6907, usercpu_time_millis: 120, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.989, kappa: 0.9593, kb_relative_information_score: 8860.9781, mean_absolute_error: 0.0324, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.989, predictive_accuracy: 0.9891, prior_entropy: 0.6393, recall: 0.9891, relative_absolute_error: 0.1192, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.0981, root_relative_squared_error: 0.2662, scimark_benchmark: 1313.5726, usercpu_time_millis: 3640, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 3450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9467, f_measure: 0.9721, kappa: 0.8972, kb_relative_information_score: 8710.5633, mean_absolute_error: 0.0278, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9721, predictive_accuracy: 0.9722, prior_entropy: 0.6393, recall: 0.9722, relative_absolute_error: 0.1024, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1668, root_relative_squared_error: 0.4526, scimark_benchmark: 1316.0472, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9784, f_measure: 0.9698, kappa: 0.8881, kb_relative_information_score: 8381.0869, mean_absolute_error: 0.0394, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9697, predictive_accuracy: 0.9699, prior_entropy: 0.6393, recall: 0.9699, relative_absolute_error: 0.145, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1604, root_relative_squared_error: 0.4353, scimark_benchmark: 1316.0472, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9659, f_measure: 0.9729, kappa: 0.9, kb_relative_information_score: 8563.8912, mean_absolute_error: 0.0347, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9729, predictive_accuracy: 0.973, prior_entropy: 0.6393, recall: 0.973, relative_absolute_error: 0.1277, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1589, root_relative_squared_error: 0.4313, scimark_benchmark: 1327.6929, usercpu_time_millis: 1800, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1790,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5045, f_measure: 0.0604, kappa: 0.0029, kb_relative_information_score: -27308.254, mean_absolute_error: 0.8304, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.8644, predictive_accuracy: 0.1696, prior_entropy: 0.6393, recall: 0.1696, relative_absolute_error: 3.0576, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.9113, root_relative_squared_error: 2.4731, scimark_benchmark: 1337.7959, usercpu_time_millis: 99320, usercpu_time_millis_testing: 15640, usercpu_time_millis_training: 83680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9717, f_measure: 0.9757, kappa: 0.9108, kb_relative_information_score: 8816.6107, mean_absolute_error: 0.0267, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9758, predictive_accuracy: 0.9756, prior_entropy: 0.6393, recall: 0.9756, relative_absolute_error: 0.0981, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1424, root_relative_squared_error: 0.3865, scimark_benchmark: 1358.4523, usercpu_time_millis: 360, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7168, f_measure: 0.8589, kappa: 0.4636, kb_relative_information_score: 3844.982, mean_absolute_error: 0.1362, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.8557, predictive_accuracy: 0.8638, prior_entropy: 0.6393, recall: 0.8638, relative_absolute_error: 0.5016, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.3691, root_relative_squared_error: 1.0017, scimark_benchmark: 1351.788, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9364, f_measure: 0.9718, kappa: 0.895, kb_relative_information_score: 8710.5633, mean_absolute_error: 0.0278, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9718, predictive_accuracy: 0.9722, prior_entropy: 0.6393, recall: 0.9722, relative_absolute_error: 0.1024, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1668, root_relative_squared_error: 0.4526, scimark_benchmark: 1353.5686, usercpu_time_millis: 930, usercpu_time_millis_training: 930,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4991, f_measure: 0.7641, kb_relative_information_score: -2.42, mean_absolute_error: 0.2716, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.7022, predictive_accuracy: 0.838, prior_entropy: 0.6393, recall: 0.838, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.3685, root_relative_squared_error: 1, scimark_benchmark: 1353.5686, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9579, f_measure: 0.9775, kappa: 0.9168, kb_relative_information_score: 8873.7021, mean_absolute_error: 0.0253, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9774, predictive_accuracy: 0.9775, prior_entropy: 0.6393, recall: 0.9775, relative_absolute_error: 0.0932, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1466, root_relative_squared_error: 0.3977, scimark_benchmark: 1384.4418, usercpu_time_millis: 260, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9706, f_measure: 0.9619, kappa: 0.8591, kb_relative_information_score: 8250.3474, mean_absolute_error: 0.0381, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9618, predictive_accuracy: 0.962, prior_entropy: 0.6393, recall: 0.962, relative_absolute_error: 0.1402, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1943, root_relative_squared_error: 0.5273, scimark_benchmark: 927.0753, usercpu_time_millis: 1830, usercpu_time_millis_testing: 550, usercpu_time_millis_training: 1280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9773, f_measure: 0.9636, kappa: 0.8654, kb_relative_information_score: 8321.2801, mean_absolute_error: 0.0363, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9635, predictive_accuracy: 0.9637, prior_entropy: 0.6393, recall: 0.9637, relative_absolute_error: 0.1338, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1883, root_relative_squared_error: 0.5111, scimark_benchmark: 945.7621, usercpu_time_millis: 9110, usercpu_time_millis_testing: 2560, usercpu_time_millis_training: 6550,

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