Task
Supervised Classification on wilt

Supervised Classification on wilt

Task 9914 Supervised Classification wilt 298841 runs submitted
0 likes downloaded by 6 people , 13 total downloads 0 issues
Visibility: Public
  • OpenML100 study_107 study_123 study_14 study_7
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -12.3931, mean_absolute_error: 0.9461, mean_prior_absolute_error: 0.1022, weighted_recall: 0.0539, number_of_instances: 4839, predictive_accuracy: 0.0539, prior_entropy: 0.3029, relative_absolute_error: 9.2552, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.9727, root_relative_squared_error: 4.3058, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4981, kb_relative_information_score: 0.0008, mean_absolute_error: 0.1021, mean_prior_absolute_error: 0.1022, weighted_recall: 0.9461, number_of_instances: 4839, predictive_accuracy: 0.9461, prior_entropy: 0.3029, relative_absolute_error: 0.9984, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6761, kb_relative_information_score: -0.7701, mean_absolute_error: 0.1096, mean_prior_absolute_error: 0.1022, weighted_recall: 0.9461, number_of_instances: 4839, predictive_accuracy: 0.9461, prior_entropy: 0.3029, relative_absolute_error: 1.0725, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2258, root_relative_squared_error: 0.9994, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4969, f_measure: 0.9191, kappa: -0.0028, kb_relative_information_score: 0.1964, mean_absolute_error: 0.0595, mean_prior_absolute_error: 0.1022, weighted_recall: 0.9446, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9446, prior_entropy: 0.3029, relative_absolute_error: 0.5819, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2343, root_relative_squared_error: 1.0373, unweighted_recall: 0.4992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2364, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.1022, weighted_recall: 0.9461, number_of_instances: 4839, predictive_accuracy: 0.9461, prior_entropy: 0.3029, relative_absolute_error: 0.5277, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2322, root_relative_squared_error: 1.0281, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.974, f_measure: 0.9809, kappa: 0.8073, kb_relative_information_score: -9.2703, mean_absolute_error: 0.4818, mean_prior_absolute_error: 0.1022, weighted_recall: 0.9814, number_of_instances: 4839, precision: 0.9807, predictive_accuracy: 0.9814, prior_entropy: 0.3029, relative_absolute_error: 4.7138, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.482, root_relative_squared_error: 2.1337, unweighted_recall: 0.8818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.974, f_measure: 0.9809, kappa: 0.8073, kb_relative_information_score: -9.2703, mean_absolute_error: 0.4818, mean_prior_absolute_error: 0.1022, weighted_recall: 0.9814, number_of_instances: 4839, precision: 0.9807, predictive_accuracy: 0.9814, prior_entropy: 0.3029, relative_absolute_error: 4.7138, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.482, root_relative_squared_error: 2.1337, unweighted_recall: 0.8818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.974, f_measure: 0.9809, kappa: 0.8073, kb_relative_information_score: -9.2703, mean_absolute_error: 0.4818, mean_prior_absolute_error: 0.1022, weighted_recall: 0.9814, number_of_instances: 4839, precision: 0.9807, predictive_accuracy: 0.9814, prior_entropy: 0.3029, relative_absolute_error: 4.7138, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.482, root_relative_squared_error: 2.1337, unweighted_recall: 0.8818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9795, f_measure: 0.9827, kappa: 0.8264, kb_relative_information_score: -9.2233, mean_absolute_error: 0.4772, mean_prior_absolute_error: 0.1022, weighted_recall: 0.9831, number_of_instances: 4839, precision: 0.9825, predictive_accuracy: 0.9831, prior_entropy: 0.3029, relative_absolute_error: 4.6681, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.4774, root_relative_squared_error: 2.1132, unweighted_recall: 0.8953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.974, f_measure: 0.9809, kappa: 0.8073, kb_relative_information_score: -9.2703, mean_absolute_error: 0.4818, mean_prior_absolute_error: 0.1022, weighted_recall: 0.9814, number_of_instances: 4839, precision: 0.9807, predictive_accuracy: 0.9814, prior_entropy: 0.3029, relative_absolute_error: 4.7138, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.482, root_relative_squared_error: 2.1337, unweighted_recall: 0.8818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9763, f_measure: 0.9815, kappa: 0.8141, kb_relative_information_score: -9.2552, mean_absolute_error: 0.4804, mean_prior_absolute_error: 0.1022, weighted_recall: 0.982, number_of_instances: 4839, precision: 0.9813, predictive_accuracy: 0.982, prior_entropy: 0.3029, relative_absolute_error: 4.6992, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.4805, root_relative_squared_error: 2.1272, unweighted_recall: 0.8857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.974, f_measure: 0.9809, kappa: 0.8073, kb_relative_information_score: -9.2703, mean_absolute_error: 0.4818, mean_prior_absolute_error: 0.1022, weighted_recall: 0.9814, number_of_instances: 4839, precision: 0.9807, predictive_accuracy: 0.9814, prior_entropy: 0.3029, relative_absolute_error: 4.7138, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.482, root_relative_squared_error: 2.1337, unweighted_recall: 0.8818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.974, f_measure: 0.9809, kappa: 0.8073, kb_relative_information_score: -9.2703, mean_absolute_error: 0.4818, mean_prior_absolute_error: 0.1022, weighted_recall: 0.9814, number_of_instances: 4839, precision: 0.9807, predictive_accuracy: 0.9814, prior_entropy: 0.3029, relative_absolute_error: 4.7138, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.482, root_relative_squared_error: 2.1337, unweighted_recall: 0.8818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.974, f_measure: 0.9809, kappa: 0.8073, kb_relative_information_score: -9.2703, mean_absolute_error: 0.4818, mean_prior_absolute_error: 0.1022, weighted_recall: 0.9814, number_of_instances: 4839, precision: 0.9807, predictive_accuracy: 0.9814, prior_entropy: 0.3029, relative_absolute_error: 4.7138, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.482, root_relative_squared_error: 2.1337, unweighted_recall: 0.8818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.974, f_measure: 0.9809, kappa: 0.8073, kb_relative_information_score: -9.2703, mean_absolute_error: 0.4818, mean_prior_absolute_error: 0.1022, weighted_recall: 0.9814, number_of_instances: 4839, precision: 0.9807, predictive_accuracy: 0.9814, prior_entropy: 0.3029, relative_absolute_error: 4.7138, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.482, root_relative_squared_error: 2.1337, unweighted_recall: 0.8818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.974, f_measure: 0.9809, kappa: 0.8073, kb_relative_information_score: -9.2703, mean_absolute_error: 0.4818, mean_prior_absolute_error: 0.1022, weighted_recall: 0.9814, number_of_instances: 4839, precision: 0.9807, predictive_accuracy: 0.9814, prior_entropy: 0.3029, relative_absolute_error: 4.7138, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.482, root_relative_squared_error: 2.1337, unweighted_recall: 0.8818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.974, f_measure: 0.9809, kappa: 0.8073, kb_relative_information_score: -9.2703, mean_absolute_error: 0.4818, mean_prior_absolute_error: 0.1022, weighted_recall: 0.9814, number_of_instances: 4839, precision: 0.9807, predictive_accuracy: 0.9814, prior_entropy: 0.3029, relative_absolute_error: 4.7138, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.482, root_relative_squared_error: 2.1337, unweighted_recall: 0.8818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.974, f_measure: 0.9809, kappa: 0.8073, kb_relative_information_score: -9.2703, mean_absolute_error: 0.4818, mean_prior_absolute_error: 0.1022, weighted_recall: 0.9814, number_of_instances: 4839, precision: 0.9807, predictive_accuracy: 0.9814, prior_entropy: 0.3029, relative_absolute_error: 4.7138, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.482, root_relative_squared_error: 2.1337, unweighted_recall: 0.8818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.974, f_measure: 0.9809, kappa: 0.8073, kb_relative_information_score: -9.2703, mean_absolute_error: 0.4818, mean_prior_absolute_error: 0.1022, weighted_recall: 0.9814, number_of_instances: 4839, precision: 0.9807, predictive_accuracy: 0.9814, prior_entropy: 0.3029, relative_absolute_error: 4.7138, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.482, root_relative_squared_error: 2.1337, unweighted_recall: 0.8818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.974, f_measure: 0.9809, kappa: 0.8073, kb_relative_information_score: -9.2703, mean_absolute_error: 0.4818, mean_prior_absolute_error: 0.1022, weighted_recall: 0.9814, number_of_instances: 4839, precision: 0.9807, predictive_accuracy: 0.9814, prior_entropy: 0.3029, relative_absolute_error: 4.7138, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.482, root_relative_squared_error: 2.1337, unweighted_recall: 0.8818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.974, f_measure: 0.9809, kappa: 0.8073, kb_relative_information_score: -9.2703, mean_absolute_error: 0.4818, mean_prior_absolute_error: 0.1022, weighted_recall: 0.9814, number_of_instances: 4839, precision: 0.9807, predictive_accuracy: 0.9814, prior_entropy: 0.3029, relative_absolute_error: 4.7138, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.482, root_relative_squared_error: 2.1337, unweighted_recall: 0.8818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.974, f_measure: 0.9809, kappa: 0.8073, kb_relative_information_score: -9.2703, mean_absolute_error: 0.4818, mean_prior_absolute_error: 0.1022, weighted_recall: 0.9814, number_of_instances: 4839, precision: 0.9807, predictive_accuracy: 0.9814, prior_entropy: 0.3029, relative_absolute_error: 4.7138, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.482, root_relative_squared_error: 2.1337, unweighted_recall: 0.8818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.502, f_measure: 0.9148, kappa: 0.0062, kb_relative_information_score: 0.0492, mean_absolute_error: 0.0672, mean_prior_absolute_error: 0.1022, weighted_recall: 0.9328, number_of_instances: 4839, precision: 0.8989, predictive_accuracy: 0.9328, prior_entropy: 0.3029, relative_absolute_error: 0.657, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2592, root_relative_squared_error: 1.1473, unweighted_recall: 0.502,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4981, kb_relative_information_score: 0.0008, mean_absolute_error: 0.1021, mean_prior_absolute_error: 0.1022, weighted_recall: 0.9461, number_of_instances: 4839, predictive_accuracy: 0.9461, prior_entropy: 0.3029, relative_absolute_error: 0.9984, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3775, f_measure: 0.6178, kappa: -0.0514, kb_relative_information_score: -6.2378, mean_absolute_error: 0.5113, mean_prior_absolute_error: 0.1022, weighted_recall: 0.4887, number_of_instances: 4839, precision: 0.8736, predictive_accuracy: 0.4887, prior_entropy: 0.3029, relative_absolute_error: 5.0016, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.715, root_relative_squared_error: 3.1653, unweighted_recall: 0.3775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4981, kb_relative_information_score: 0.0008, mean_absolute_error: 0.1021, mean_prior_absolute_error: 0.1022, weighted_recall: 0.9461, number_of_instances: 4839, predictive_accuracy: 0.9461, prior_entropy: 0.3029, relative_absolute_error: 0.9984, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4981, kb_relative_information_score: 0.0008, mean_absolute_error: 0.1021, mean_prior_absolute_error: 0.1022, weighted_recall: 0.9461, number_of_instances: 4839, predictive_accuracy: 0.9461, prior_entropy: 0.3029, relative_absolute_error: 0.9984, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6779, kb_relative_information_score: -0.6619, mean_absolute_error: 0.1013, mean_prior_absolute_error: 0.1022, weighted_recall: 0.9461, number_of_instances: 4839, predictive_accuracy: 0.9461, prior_entropy: 0.3029, relative_absolute_error: 0.9908, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2246, root_relative_squared_error: 0.9942, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4981, kb_relative_information_score: 0.0008, mean_absolute_error: 0.1021, mean_prior_absolute_error: 0.1022, weighted_recall: 0.9461, number_of_instances: 4839, predictive_accuracy: 0.9461, prior_entropy: 0.3029, relative_absolute_error: 0.9984, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6163, f_measure: 0.2947, kappa: 0.0178, kb_relative_information_score: -10.14, mean_absolute_error: 0.5849, mean_prior_absolute_error: 0.1022, weighted_recall: 0.2222, number_of_instances: 4839, precision: 0.937, predictive_accuracy: 0.2222, prior_entropy: 0.3029, relative_absolute_error: 5.7218, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.5937, root_relative_squared_error: 2.6283, unweighted_recall: 0.569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8172, kb_relative_information_score: -0.0044, mean_absolute_error: 0.1021, mean_prior_absolute_error: 0.1022, weighted_recall: 0.9461, number_of_instances: 4839, predictive_accuracy: 0.9461, prior_entropy: 0.3029, relative_absolute_error: 0.9985, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2258, root_relative_squared_error: 0.9996, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4981, kb_relative_information_score: 0.0008, mean_absolute_error: 0.1021, mean_prior_absolute_error: 0.1022, weighted_recall: 0.9461, number_of_instances: 4839, predictive_accuracy: 0.9461, prior_entropy: 0.3029, relative_absolute_error: 0.9984, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5912, f_measure: 0.3087, kappa: 0.0237, kb_relative_information_score: -9.8538, mean_absolute_error: 0.7667, mean_prior_absolute_error: 0.1022, weighted_recall: 0.2333, number_of_instances: 4839, precision: 0.9474, predictive_accuracy: 0.2333, prior_entropy: 0.3029, relative_absolute_error: 7.5004, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.8756, root_relative_squared_error: 3.8762, unweighted_recall: 0.5912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7015, f_measure: 0.7931, kappa: 0.0775, kb_relative_information_score: -3.3484, mean_absolute_error: 0.2855, mean_prior_absolute_error: 0.1022, weighted_recall: 0.7161, number_of_instances: 4839, precision: 0.916, predictive_accuracy: 0.7161, prior_entropy: 0.3029, relative_absolute_error: 2.793, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.5061, root_relative_squared_error: 2.2406, unweighted_recall: 0.6169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: -6.8127, mean_absolute_error: 0.2939, mean_prior_absolute_error: 0.1022, weighted_recall: 0.9461, number_of_instances: 4839, predictive_accuracy: 0.9461, prior_entropy: 0.3029, relative_absolute_error: 2.8749, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.3119, root_relative_squared_error: 1.3806, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4982, kb_relative_information_score: -6.8127, mean_absolute_error: 0.2939, mean_prior_absolute_error: 0.1022, weighted_recall: 0.9461, number_of_instances: 4839, predictive_accuracy: 0.9461, prior_entropy: 0.3029, relative_absolute_error: 2.8749, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.3119, root_relative_squared_error: 1.3806, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2364, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.1022, weighted_recall: 0.9461, number_of_instances: 4839, predictive_accuracy: 0.9461, prior_entropy: 0.3029, relative_absolute_error: 0.5277, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2322, root_relative_squared_error: 1.0281, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8777, kb_relative_information_score: 0.1433, mean_absolute_error: 0.0905, mean_prior_absolute_error: 0.1022, weighted_recall: 0.9461, number_of_instances: 4839, predictive_accuracy: 0.9461, prior_entropy: 0.3029, relative_absolute_error: 0.8851, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2013, root_relative_squared_error: 0.891, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8777, kb_relative_information_score: 0.1433, mean_absolute_error: 0.0905, mean_prior_absolute_error: 0.1022, weighted_recall: 0.9461, number_of_instances: 4839, predictive_accuracy: 0.9461, prior_entropy: 0.3029, relative_absolute_error: 0.8851, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2013, root_relative_squared_error: 0.891, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8777, kb_relative_information_score: 0.1433, mean_absolute_error: 0.0905, mean_prior_absolute_error: 0.1022, weighted_recall: 0.9461, number_of_instances: 4839, predictive_accuracy: 0.9461, prior_entropy: 0.3029, relative_absolute_error: 0.8851, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2013, root_relative_squared_error: 0.891, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8777, kb_relative_information_score: 0.1433, mean_absolute_error: 0.0905, mean_prior_absolute_error: 0.1022, weighted_recall: 0.9461, number_of_instances: 4839, predictive_accuracy: 0.9461, prior_entropy: 0.3029, relative_absolute_error: 0.8851, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2013, root_relative_squared_error: 0.891, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8777, kb_relative_information_score: 0.1433, mean_absolute_error: 0.0905, mean_prior_absolute_error: 0.1022, weighted_recall: 0.9461, number_of_instances: 4839, predictive_accuracy: 0.9461, prior_entropy: 0.3029, relative_absolute_error: 0.8851, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2013, root_relative_squared_error: 0.891, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8777, kb_relative_information_score: 0.1433, mean_absolute_error: 0.0905, mean_prior_absolute_error: 0.1022, weighted_recall: 0.9461, number_of_instances: 4839, predictive_accuracy: 0.9461, prior_entropy: 0.3029, relative_absolute_error: 0.8851, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2013, root_relative_squared_error: 0.891, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8777, kb_relative_information_score: 0.1433, mean_absolute_error: 0.0905, mean_prior_absolute_error: 0.1022, weighted_recall: 0.9461, number_of_instances: 4839, predictive_accuracy: 0.9461, prior_entropy: 0.3029, relative_absolute_error: 0.8851, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2013, root_relative_squared_error: 0.891, unweighted_recall: 0.5,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8777, kb_relative_information_score: 0.1433, mean_absolute_error: 0.0905, mean_prior_absolute_error: 0.1022, weighted_recall: 0.9461, number_of_instances: 4839, predictive_accuracy: 0.9461, prior_entropy: 0.3029, relative_absolute_error: 0.8851, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2013, root_relative_squared_error: 0.891, unweighted_recall: 0.5,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7168, f_measure: 0.7761, kappa: 0.0938, kb_relative_information_score: -9.4364, mean_absolute_error: 0.4988, mean_prior_absolute_error: 0.1022, weighted_recall: 0.6917, number_of_instances: 4839, precision: 0.9229, predictive_accuracy: 0.6917, prior_entropy: 0.3029, relative_absolute_error: 4.8799, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.4988, root_relative_squared_error: 2.2083, unweighted_recall: 0.6564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -9.4478, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.1022, weighted_recall: 0.9461, number_of_instances: 4839, predictive_accuracy: 0.9461, prior_entropy: 0.3029, relative_absolute_error: 4.8914, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.5, root_relative_squared_error: 2.2134, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5097, f_measure: 0.92, kappa: 0.0108, kb_relative_information_score: 0.2189, mean_absolute_error: 0.0552, mean_prior_absolute_error: 0.1022, weighted_recall: 0.9448, number_of_instances: 4839, precision: 0.9061, predictive_accuracy: 0.9448, prior_entropy: 0.3029, relative_absolute_error: 0.5398, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2349, root_relative_squared_error: 1.0399, unweighted_recall: 0.503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6179, kb_relative_information_score: -10.9097, mean_absolute_error: 0.6838, mean_prior_absolute_error: 0.1022, weighted_recall: 0.0539, number_of_instances: 4839, predictive_accuracy: 0.0539, prior_entropy: 0.3029, relative_absolute_error: 6.6895, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.6911, root_relative_squared_error: 3.0595, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4981, kb_relative_information_score: 0.0008, mean_absolute_error: 0.1021, mean_prior_absolute_error: 0.1022, weighted_recall: 0.9461, number_of_instances: 4839, predictive_accuracy: 0.9461, prior_entropy: 0.3029, relative_absolute_error: 0.9984, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4981, kb_relative_information_score: 0.0008, mean_absolute_error: 0.1021, mean_prior_absolute_error: 0.1022, weighted_recall: 0.9461, number_of_instances: 4839, predictive_accuracy: 0.9461, prior_entropy: 0.3029, relative_absolute_error: 0.9984, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.9197, kappa: -0.0004, kb_relative_information_score: 0.2335, mean_absolute_error: 0.0541, mean_prior_absolute_error: 0.1022, weighted_recall: 0.9459, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9459, prior_entropy: 0.3029, relative_absolute_error: 0.5297, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2327, root_relative_squared_error: 1.0301, unweighted_recall: 0.4999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.971, f_measure: 0.9758, kappa: 0.7569, kb_relative_information_score: -8.8292, mean_absolute_error: 0.4424, mean_prior_absolute_error: 0.1022, weighted_recall: 0.9764, number_of_instances: 4839, precision: 0.9755, predictive_accuracy: 0.9764, prior_entropy: 0.3029, relative_absolute_error: 4.3282, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.4449, root_relative_squared_error: 1.9694, unweighted_recall: 0.8593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.971, f_measure: 0.9758, kappa: 0.7569, kb_relative_information_score: -8.8292, mean_absolute_error: 0.4424, mean_prior_absolute_error: 0.1022, weighted_recall: 0.9764, number_of_instances: 4839, precision: 0.9755, predictive_accuracy: 0.9764, prior_entropy: 0.3029, relative_absolute_error: 4.3282, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.4449, root_relative_squared_error: 1.9694, unweighted_recall: 0.8593,

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

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs