Task
Supervised Classification on jm1

Supervised Classification on jm1

Task 3904 Supervised Classification jm1 19089 runs submitted
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  • mythbusting_1 OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_41 study_98 study_99 under100k under1m
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19089 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6338, f_measure: 0.748, kappa: 0.0983, kb_relative_information_score: 0.0532, mean_absolute_error: 0.2935, mean_prior_absolute_error: 0.3121, weighted_recall: 0.8111, number_of_instances: 10885, precision: 0.7728, predictive_accuracy: 0.8111, prior_entropy: 0.7087, relative_absolute_error: 0.9405, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3826, root_relative_squared_error: 0.9687, unweighted_recall: 0.533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6339, f_measure: 0.7358, kappa: 0.0545, kb_relative_information_score: 0.0328, mean_absolute_error: 0.3017, mean_prior_absolute_error: 0.3121, weighted_recall: 0.8106, number_of_instances: 10885, precision: 0.7866, predictive_accuracy: 0.8106, prior_entropy: 0.7087, relative_absolute_error: 0.9666, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3876, root_relative_squared_error: 0.9813, unweighted_recall: 0.5175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6462, f_measure: 0.7336, kappa: 0.0466, kb_relative_information_score: 0.0288, mean_absolute_error: 0.3025, mean_prior_absolute_error: 0.3121, weighted_recall: 0.8091, number_of_instances: 10885, precision: 0.7736, predictive_accuracy: 0.8091, prior_entropy: 0.7087, relative_absolute_error: 0.969, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3887, root_relative_squared_error: 0.984, unweighted_recall: 0.5149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6291, f_measure: 0.7369, kappa: 0.0581, kb_relative_information_score: 0.0327, mean_absolute_error: 0.3019, mean_prior_absolute_error: 0.3121, weighted_recall: 0.8113, number_of_instances: 10885, precision: 0.7932, predictive_accuracy: 0.8113, prior_entropy: 0.7087, relative_absolute_error: 0.9674, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.388, root_relative_squared_error: 0.9822, unweighted_recall: 0.5187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7135, f_measure: 0.7588, kappa: 0.139, kb_relative_information_score: 0.0529, mean_absolute_error: 0.2788, mean_prior_absolute_error: 0.3121, weighted_recall: 0.8131, number_of_instances: 10885, precision: 0.7765, predictive_accuracy: 0.8131, prior_entropy: 0.7087, relative_absolute_error: 0.8932, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3742, root_relative_squared_error: 0.9472, unweighted_recall: 0.5483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7135, f_measure: 0.757, kappa: 0.1322, kb_relative_information_score: 0.0518, mean_absolute_error: 0.2795, mean_prior_absolute_error: 0.3121, weighted_recall: 0.8123, number_of_instances: 10885, precision: 0.7742, predictive_accuracy: 0.8123, prior_entropy: 0.7087, relative_absolute_error: 0.8953, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3743, root_relative_squared_error: 0.9475, unweighted_recall: 0.5458,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7134, f_measure: 0.7595, kappa: 0.1413, kb_relative_information_score: 0.0529, mean_absolute_error: 0.2787, mean_prior_absolute_error: 0.3121, weighted_recall: 0.8136, number_of_instances: 10885, precision: 0.7779, predictive_accuracy: 0.8136, prior_entropy: 0.7087, relative_absolute_error: 0.893, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3742, root_relative_squared_error: 0.9473, unweighted_recall: 0.5491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7135, f_measure: 0.7589, kappa: 0.1392, kb_relative_information_score: 0.0528, mean_absolute_error: 0.2789, mean_prior_absolute_error: 0.3121, weighted_recall: 0.8132, number_of_instances: 10885, precision: 0.7768, predictive_accuracy: 0.8132, prior_entropy: 0.7087, relative_absolute_error: 0.8936, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3742, root_relative_squared_error: 0.9473, unweighted_recall: 0.5484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7042, f_measure: 0.7465, kappa: 0.0927, kb_relative_information_score: 0.0383, mean_absolute_error: 0.289, mean_prior_absolute_error: 0.3121, weighted_recall: 0.8115, number_of_instances: 10885, precision: 0.7757, predictive_accuracy: 0.8115, prior_entropy: 0.7087, relative_absolute_error: 0.926, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3784, root_relative_squared_error: 0.958, unweighted_recall: 0.5309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7133, f_measure: 0.7573, kappa: 0.1331, kb_relative_information_score: 0.0522, mean_absolute_error: 0.2794, mean_prior_absolute_error: 0.3121, weighted_recall: 0.8125, number_of_instances: 10885, precision: 0.7748, predictive_accuracy: 0.8125, prior_entropy: 0.7087, relative_absolute_error: 0.8953, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3743, root_relative_squared_error: 0.9476, unweighted_recall: 0.5461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7133, f_measure: 0.7595, kappa: 0.1413, kb_relative_information_score: 0.0529, mean_absolute_error: 0.2787, mean_prior_absolute_error: 0.3121, weighted_recall: 0.8136, number_of_instances: 10885, precision: 0.7779, predictive_accuracy: 0.8136, prior_entropy: 0.7087, relative_absolute_error: 0.8929, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3742, root_relative_squared_error: 0.9473, unweighted_recall: 0.5491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7155, f_measure: 0.7663, kappa: 0.1692, kb_relative_information_score: 0.0575, mean_absolute_error: 0.2769, mean_prior_absolute_error: 0.3121, weighted_recall: 0.812, number_of_instances: 10885, precision: 0.7735, predictive_accuracy: 0.812, prior_entropy: 0.7087, relative_absolute_error: 0.8872, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3755, root_relative_squared_error: 0.9506, unweighted_recall: 0.5613,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7135, f_measure: 0.7588, kappa: 0.139, kb_relative_information_score: 0.0529, mean_absolute_error: 0.2788, mean_prior_absolute_error: 0.3121, weighted_recall: 0.8131, number_of_instances: 10885, precision: 0.7765, predictive_accuracy: 0.8131, prior_entropy: 0.7087, relative_absolute_error: 0.8932, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3742, root_relative_squared_error: 0.9472, unweighted_recall: 0.5483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7133, f_measure: 0.7593, kappa: 0.1407, kb_relative_information_score: 0.0529, mean_absolute_error: 0.2788, mean_prior_absolute_error: 0.3121, weighted_recall: 0.8135, number_of_instances: 10885, precision: 0.7776, predictive_accuracy: 0.8135, prior_entropy: 0.7087, relative_absolute_error: 0.8931, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3742, root_relative_squared_error: 0.9473, unweighted_recall: 0.5489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7113, f_measure: 0.754, kappa: 0.1208, kb_relative_information_score: 0.0123, mean_absolute_error: 0.2918, mean_prior_absolute_error: 0.3121, weighted_recall: 0.8117, number_of_instances: 10885, precision: 0.7727, predictive_accuracy: 0.8117, prior_entropy: 0.7087, relative_absolute_error: 0.935, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3758, root_relative_squared_error: 0.9513, unweighted_recall: 0.5414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7127, f_measure: 0.7559, kappa: 0.1279, kb_relative_information_score: 0.0514, mean_absolute_error: 0.2803, mean_prior_absolute_error: 0.3121, weighted_recall: 0.8124, number_of_instances: 10885, precision: 0.7748, predictive_accuracy: 0.8124, prior_entropy: 0.7087, relative_absolute_error: 0.8982, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3746, root_relative_squared_error: 0.9484, unweighted_recall: 0.5441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7129, f_measure: 0.7561, kappa: 0.1288, kb_relative_information_score: 0.0497, mean_absolute_error: 0.2806, mean_prior_absolute_error: 0.3121, weighted_recall: 0.8122, number_of_instances: 10885, precision: 0.7741, predictive_accuracy: 0.8122, prior_entropy: 0.7087, relative_absolute_error: 0.899, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3745, root_relative_squared_error: 0.9482, unweighted_recall: 0.5445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7133, f_measure: 0.7595, kappa: 0.1413, kb_relative_information_score: 0.053, mean_absolute_error: 0.2787, mean_prior_absolute_error: 0.3121, weighted_recall: 0.8136, number_of_instances: 10885, precision: 0.7779, predictive_accuracy: 0.8136, prior_entropy: 0.7087, relative_absolute_error: 0.8929, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3742, root_relative_squared_error: 0.9473, unweighted_recall: 0.5491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7135, f_measure: 0.757, kappa: 0.1322, kb_relative_information_score: 0.0518, mean_absolute_error: 0.2795, mean_prior_absolute_error: 0.3121, weighted_recall: 0.8123, number_of_instances: 10885, precision: 0.7742, predictive_accuracy: 0.8123, prior_entropy: 0.7087, relative_absolute_error: 0.8953, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3743, root_relative_squared_error: 0.9475, unweighted_recall: 0.5458,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7021, f_measure: 0.7729, kappa: 0.1988, kb_relative_information_score: 0.0524, mean_absolute_error: 0.2747, mean_prior_absolute_error: 0.3121, weighted_recall: 0.8105, number_of_instances: 10885, precision: 0.7731, predictive_accuracy: 0.8105, prior_entropy: 0.7087, relative_absolute_error: 0.8802, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3816, root_relative_squared_error: 0.9659, unweighted_recall: 0.5754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7134, f_measure: 0.7595, kappa: 0.1413, kb_relative_information_score: 0.0529, mean_absolute_error: 0.2787, mean_prior_absolute_error: 0.3121, weighted_recall: 0.8136, number_of_instances: 10885, precision: 0.7779, predictive_accuracy: 0.8136, prior_entropy: 0.7087, relative_absolute_error: 0.893, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3742, root_relative_squared_error: 0.9473, unweighted_recall: 0.5491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7133, f_measure: 0.7595, kappa: 0.1413, kb_relative_information_score: 0.0529, mean_absolute_error: 0.2787, mean_prior_absolute_error: 0.3121, weighted_recall: 0.8136, number_of_instances: 10885, precision: 0.7779, predictive_accuracy: 0.8136, prior_entropy: 0.7087, relative_absolute_error: 0.8929, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3742, root_relative_squared_error: 0.9473, unweighted_recall: 0.5491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7133, f_measure: 0.7573, kappa: 0.1331, kb_relative_information_score: 0.0525, mean_absolute_error: 0.2793, mean_prior_absolute_error: 0.3121, weighted_recall: 0.8125, number_of_instances: 10885, precision: 0.7748, predictive_accuracy: 0.8125, prior_entropy: 0.7087, relative_absolute_error: 0.895, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3743, root_relative_squared_error: 0.9476, unweighted_recall: 0.5461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7042, f_measure: 0.7465, kappa: 0.0927, kb_relative_information_score: 0.0383, mean_absolute_error: 0.289, mean_prior_absolute_error: 0.3121, weighted_recall: 0.8115, number_of_instances: 10885, precision: 0.7757, predictive_accuracy: 0.8115, prior_entropy: 0.7087, relative_absolute_error: 0.926, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3784, root_relative_squared_error: 0.958, unweighted_recall: 0.5309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7135, f_measure: 0.7589, kappa: 0.1392, kb_relative_information_score: 0.0528, mean_absolute_error: 0.2789, mean_prior_absolute_error: 0.3121, weighted_recall: 0.8132, number_of_instances: 10885, precision: 0.7768, predictive_accuracy: 0.8132, prior_entropy: 0.7087, relative_absolute_error: 0.8936, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3742, root_relative_squared_error: 0.9473, unweighted_recall: 0.5484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7107, f_measure: 0.7514, kappa: 0.111, kb_relative_information_score: 0.0469, mean_absolute_error: 0.2831, mean_prior_absolute_error: 0.3121, weighted_recall: 0.8117, number_of_instances: 10885, precision: 0.7736, predictive_accuracy: 0.8117, prior_entropy: 0.7087, relative_absolute_error: 0.907, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3757, root_relative_squared_error: 0.9511, unweighted_recall: 0.5377,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7133, f_measure: 0.7573, kappa: 0.1331, kb_relative_information_score: 0.0522, mean_absolute_error: 0.2794, mean_prior_absolute_error: 0.3121, weighted_recall: 0.8125, number_of_instances: 10885, precision: 0.7748, predictive_accuracy: 0.8125, prior_entropy: 0.7087, relative_absolute_error: 0.8953, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3743, root_relative_squared_error: 0.9476, unweighted_recall: 0.5461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7133, f_measure: 0.7595, kappa: 0.1413, kb_relative_information_score: 0.0529, mean_absolute_error: 0.2787, mean_prior_absolute_error: 0.3121, weighted_recall: 0.8136, number_of_instances: 10885, precision: 0.7779, predictive_accuracy: 0.8136, prior_entropy: 0.7087, relative_absolute_error: 0.8929, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3742, root_relative_squared_error: 0.9473, unweighted_recall: 0.5491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7135, f_measure: 0.7589, kappa: 0.1392, kb_relative_information_score: 0.0528, mean_absolute_error: 0.2789, mean_prior_absolute_error: 0.3121, weighted_recall: 0.8132, number_of_instances: 10885, precision: 0.7768, predictive_accuracy: 0.8132, prior_entropy: 0.7087, relative_absolute_error: 0.8936, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3742, root_relative_squared_error: 0.9473, unweighted_recall: 0.5484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7133, f_measure: 0.7573, kappa: 0.1331, kb_relative_information_score: 0.0525, mean_absolute_error: 0.2793, mean_prior_absolute_error: 0.3121, weighted_recall: 0.8125, number_of_instances: 10885, precision: 0.7748, predictive_accuracy: 0.8125, prior_entropy: 0.7087, relative_absolute_error: 0.895, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3743, root_relative_squared_error: 0.9476, unweighted_recall: 0.5461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7107, f_measure: 0.7514, kappa: 0.111, kb_relative_information_score: 0.0469, mean_absolute_error: 0.2831, mean_prior_absolute_error: 0.3121, weighted_recall: 0.8117, number_of_instances: 10885, precision: 0.7736, predictive_accuracy: 0.8117, prior_entropy: 0.7087, relative_absolute_error: 0.907, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3757, root_relative_squared_error: 0.9511, unweighted_recall: 0.5377,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7127, f_measure: 0.7559, kappa: 0.1279, kb_relative_information_score: 0.0514, mean_absolute_error: 0.2803, mean_prior_absolute_error: 0.3121, weighted_recall: 0.8124, number_of_instances: 10885, precision: 0.7748, predictive_accuracy: 0.8124, prior_entropy: 0.7087, relative_absolute_error: 0.8982, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3746, root_relative_squared_error: 0.9484, unweighted_recall: 0.5441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7042, f_measure: 0.7465, kappa: 0.0927, kb_relative_information_score: 0.0383, mean_absolute_error: 0.289, mean_prior_absolute_error: 0.3121, weighted_recall: 0.8115, number_of_instances: 10885, precision: 0.7757, predictive_accuracy: 0.8115, prior_entropy: 0.7087, relative_absolute_error: 0.926, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3784, root_relative_squared_error: 0.958, unweighted_recall: 0.5309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7133, f_measure: 0.7573, kappa: 0.1331, kb_relative_information_score: 0.0522, mean_absolute_error: 0.2794, mean_prior_absolute_error: 0.3121, weighted_recall: 0.8125, number_of_instances: 10885, precision: 0.7748, predictive_accuracy: 0.8125, prior_entropy: 0.7087, relative_absolute_error: 0.8953, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3743, root_relative_squared_error: 0.9476, unweighted_recall: 0.5461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7133, f_measure: 0.7573, kappa: 0.1331, kb_relative_information_score: 0.0522, mean_absolute_error: 0.2794, mean_prior_absolute_error: 0.3121, weighted_recall: 0.8125, number_of_instances: 10885, precision: 0.7748, predictive_accuracy: 0.8125, prior_entropy: 0.7087, relative_absolute_error: 0.8953, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3743, root_relative_squared_error: 0.9476, unweighted_recall: 0.5461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7133, f_measure: 0.7573, kappa: 0.1331, kb_relative_information_score: 0.0522, mean_absolute_error: 0.2794, mean_prior_absolute_error: 0.3121, weighted_recall: 0.8125, number_of_instances: 10885, precision: 0.7748, predictive_accuracy: 0.8125, prior_entropy: 0.7087, relative_absolute_error: 0.8953, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3743, root_relative_squared_error: 0.9476, unweighted_recall: 0.5461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7133, f_measure: 0.7573, kappa: 0.1331, kb_relative_information_score: 0.0522, mean_absolute_error: 0.2794, mean_prior_absolute_error: 0.3121, weighted_recall: 0.8125, number_of_instances: 10885, precision: 0.7748, predictive_accuracy: 0.8125, prior_entropy: 0.7087, relative_absolute_error: 0.8953, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3743, root_relative_squared_error: 0.9476, unweighted_recall: 0.5461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7135, f_measure: 0.7589, kappa: 0.1392, kb_relative_information_score: 0.0527, mean_absolute_error: 0.2789, mean_prior_absolute_error: 0.3121, weighted_recall: 0.8132, number_of_instances: 10885, precision: 0.7768, predictive_accuracy: 0.8132, prior_entropy: 0.7087, relative_absolute_error: 0.8936, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3742, root_relative_squared_error: 0.9473, unweighted_recall: 0.5484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7133, f_measure: 0.7573, kappa: 0.1331, kb_relative_information_score: 0.0522, mean_absolute_error: 0.2794, mean_prior_absolute_error: 0.3121, weighted_recall: 0.8125, number_of_instances: 10885, precision: 0.7748, predictive_accuracy: 0.8125, prior_entropy: 0.7087, relative_absolute_error: 0.8953, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3743, root_relative_squared_error: 0.9476, unweighted_recall: 0.5461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7133, f_measure: 0.7573, kappa: 0.1331, kb_relative_information_score: 0.0522, mean_absolute_error: 0.2794, mean_prior_absolute_error: 0.3121, weighted_recall: 0.8125, number_of_instances: 10885, precision: 0.7748, predictive_accuracy: 0.8125, prior_entropy: 0.7087, relative_absolute_error: 0.8953, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3743, root_relative_squared_error: 0.9476, unweighted_recall: 0.5461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7133, f_measure: 0.7573, kappa: 0.1331, kb_relative_information_score: 0.0522, mean_absolute_error: 0.2794, mean_prior_absolute_error: 0.3121, weighted_recall: 0.8125, number_of_instances: 10885, precision: 0.7748, predictive_accuracy: 0.8125, prior_entropy: 0.7087, relative_absolute_error: 0.8953, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3743, root_relative_squared_error: 0.9476, unweighted_recall: 0.5461,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7133, f_measure: 0.7573, kappa: 0.1331, kb_relative_information_score: 0.0522, mean_absolute_error: 0.2794, mean_prior_absolute_error: 0.3121, weighted_recall: 0.8125, number_of_instances: 10885, precision: 0.7748, predictive_accuracy: 0.8125, prior_entropy: 0.7087, relative_absolute_error: 0.8953, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3743, root_relative_squared_error: 0.9476, unweighted_recall: 0.5461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7042, f_measure: 0.7465, kappa: 0.0927, kb_relative_information_score: 0.0383, mean_absolute_error: 0.289, mean_prior_absolute_error: 0.3121, weighted_recall: 0.8115, number_of_instances: 10885, precision: 0.7757, predictive_accuracy: 0.8115, prior_entropy: 0.7087, relative_absolute_error: 0.926, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3784, root_relative_squared_error: 0.958, unweighted_recall: 0.5309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7133, f_measure: 0.7573, kappa: 0.1331, kb_relative_information_score: 0.0522, mean_absolute_error: 0.2794, mean_prior_absolute_error: 0.3121, weighted_recall: 0.8125, number_of_instances: 10885, precision: 0.7748, predictive_accuracy: 0.8125, prior_entropy: 0.7087, relative_absolute_error: 0.8953, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3743, root_relative_squared_error: 0.9476, unweighted_recall: 0.5461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7133, f_measure: 0.7573, kappa: 0.1331, kb_relative_information_score: 0.0522, mean_absolute_error: 0.2794, mean_prior_absolute_error: 0.3121, weighted_recall: 0.8125, number_of_instances: 10885, precision: 0.7748, predictive_accuracy: 0.8125, prior_entropy: 0.7087, relative_absolute_error: 0.8953, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3743, root_relative_squared_error: 0.9476, unweighted_recall: 0.5461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7042, f_measure: 0.7465, kappa: 0.0927, kb_relative_information_score: 0.0383, mean_absolute_error: 0.289, mean_prior_absolute_error: 0.3121, weighted_recall: 0.8115, number_of_instances: 10885, precision: 0.7757, predictive_accuracy: 0.8115, prior_entropy: 0.7087, relative_absolute_error: 0.926, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3784, root_relative_squared_error: 0.958, unweighted_recall: 0.5309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7133, f_measure: 0.7573, kappa: 0.1331, kb_relative_information_score: 0.0522, mean_absolute_error: 0.2794, mean_prior_absolute_error: 0.3121, weighted_recall: 0.8125, number_of_instances: 10885, precision: 0.7748, predictive_accuracy: 0.8125, prior_entropy: 0.7087, relative_absolute_error: 0.8953, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3743, root_relative_squared_error: 0.9476, unweighted_recall: 0.5461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7133, f_measure: 0.7573, kappa: 0.1331, kb_relative_information_score: 0.0522, mean_absolute_error: 0.2794, mean_prior_absolute_error: 0.3121, weighted_recall: 0.8125, number_of_instances: 10885, precision: 0.7748, predictive_accuracy: 0.8125, prior_entropy: 0.7087, relative_absolute_error: 0.8953, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3743, root_relative_squared_error: 0.9476, unweighted_recall: 0.5461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7133, f_measure: 0.7573, kappa: 0.1331, kb_relative_information_score: 0.0522, mean_absolute_error: 0.2794, mean_prior_absolute_error: 0.3121, weighted_recall: 0.8125, number_of_instances: 10885, precision: 0.7748, predictive_accuracy: 0.8125, prior_entropy: 0.7087, relative_absolute_error: 0.8953, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3743, root_relative_squared_error: 0.9476, unweighted_recall: 0.5461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7133, f_measure: 0.7573, kappa: 0.1331, kb_relative_information_score: 0.0522, mean_absolute_error: 0.2794, mean_prior_absolute_error: 0.3121, weighted_recall: 0.8125, number_of_instances: 10885, precision: 0.7748, predictive_accuracy: 0.8125, prior_entropy: 0.7087, relative_absolute_error: 0.8953, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3743, root_relative_squared_error: 0.9476, unweighted_recall: 0.5461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7134, f_measure: 0.7595, kappa: 0.1413, kb_relative_information_score: 0.0529, mean_absolute_error: 0.2787, mean_prior_absolute_error: 0.3121, weighted_recall: 0.8136, number_of_instances: 10885, precision: 0.7779, predictive_accuracy: 0.8136, prior_entropy: 0.7087, relative_absolute_error: 0.893, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3742, root_relative_squared_error: 0.9473, unweighted_recall: 0.5491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7133, f_measure: 0.7573, kappa: 0.1331, kb_relative_information_score: 0.0522, mean_absolute_error: 0.2794, mean_prior_absolute_error: 0.3121, weighted_recall: 0.8125, number_of_instances: 10885, precision: 0.7748, predictive_accuracy: 0.8125, prior_entropy: 0.7087, relative_absolute_error: 0.8953, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3743, root_relative_squared_error: 0.9476, unweighted_recall: 0.5461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7133, f_measure: 0.7595, kappa: 0.1413, kb_relative_information_score: 0.0529, mean_absolute_error: 0.2787, mean_prior_absolute_error: 0.3121, weighted_recall: 0.8136, number_of_instances: 10885, precision: 0.7779, predictive_accuracy: 0.8136, prior_entropy: 0.7087, relative_absolute_error: 0.8929, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3742, root_relative_squared_error: 0.9473, unweighted_recall: 0.5491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7133, f_measure: 0.7573, kappa: 0.1331, kb_relative_information_score: 0.0522, mean_absolute_error: 0.2794, mean_prior_absolute_error: 0.3121, weighted_recall: 0.8125, number_of_instances: 10885, precision: 0.7748, predictive_accuracy: 0.8125, prior_entropy: 0.7087, relative_absolute_error: 0.8953, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3743, root_relative_squared_error: 0.9476, unweighted_recall: 0.5461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7042, f_measure: 0.7465, kappa: 0.0927, kb_relative_information_score: 0.0383, mean_absolute_error: 0.289, mean_prior_absolute_error: 0.3121, weighted_recall: 0.8115, number_of_instances: 10885, precision: 0.7757, predictive_accuracy: 0.8115, prior_entropy: 0.7087, relative_absolute_error: 0.926, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3784, root_relative_squared_error: 0.958, unweighted_recall: 0.5309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7133, f_measure: 0.7573, kappa: 0.1331, kb_relative_information_score: 0.0522, mean_absolute_error: 0.2794, mean_prior_absolute_error: 0.3121, weighted_recall: 0.8125, number_of_instances: 10885, precision: 0.7748, predictive_accuracy: 0.8125, prior_entropy: 0.7087, relative_absolute_error: 0.8953, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3743, root_relative_squared_error: 0.9476, unweighted_recall: 0.5461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7133, f_measure: 0.7573, kappa: 0.1331, kb_relative_information_score: 0.0522, mean_absolute_error: 0.2794, mean_prior_absolute_error: 0.3121, weighted_recall: 0.8125, number_of_instances: 10885, precision: 0.7748, predictive_accuracy: 0.8125, prior_entropy: 0.7087, relative_absolute_error: 0.8953, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3743, root_relative_squared_error: 0.9476, unweighted_recall: 0.5461,

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