Task
Supervised Classification on micro-mass

Supervised Classification on micro-mass

Task 9950 Supervised Classification micro-mass 13686 runs submitted
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  • OpenML100 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: 0.065, mean_absolute_error: 0.0895, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.1051, prior_entropy: 4.2, recall: 0.1051, relative_absolute_error: 0.9509, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2992, root_relative_squared_error: 1.3793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.065, mean_absolute_error: 0.0895, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.1051, prior_entropy: 4.2, recall: 0.1051, relative_absolute_error: 0.9509, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2992, root_relative_squared_error: 1.3793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kappa: 0.0001, kb_relative_information_score: 0.065, mean_absolute_error: 0.0895, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.1051, prior_entropy: 4.2, recall: 0.1051, relative_absolute_error: 0.9509, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2992, root_relative_squared_error: 1.3793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.065, mean_absolute_error: 0.0895, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.1051, prior_entropy: 4.2, recall: 0.1051, relative_absolute_error: 0.9509, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2992, root_relative_squared_error: 1.3793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.065, mean_absolute_error: 0.0895, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.1051, prior_entropy: 4.2, recall: 0.1051, relative_absolute_error: 0.9509, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2992, root_relative_squared_error: 1.3793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.065, mean_absolute_error: 0.0895, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.1051, prior_entropy: 4.2, recall: 0.1051, relative_absolute_error: 0.9509, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2992, root_relative_squared_error: 1.3793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.065, mean_absolute_error: 0.0895, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.1051, prior_entropy: 4.2, recall: 0.1051, relative_absolute_error: 0.9509, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2992, root_relative_squared_error: 1.3793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.065, mean_absolute_error: 0.0895, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.1051, prior_entropy: 4.2, recall: 0.1051, relative_absolute_error: 0.9509, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2992, root_relative_squared_error: 1.3793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kappa: 0.0001, kb_relative_information_score: 0.065, mean_absolute_error: 0.0895, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.1051, prior_entropy: 4.2, recall: 0.1051, relative_absolute_error: 0.9509, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2992, root_relative_squared_error: 1.3793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.065, mean_absolute_error: 0.0895, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.1051, prior_entropy: 4.2, recall: 0.1051, relative_absolute_error: 0.9509, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2992, root_relative_squared_error: 1.3793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.065, mean_absolute_error: 0.0895, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.1051, prior_entropy: 4.2, recall: 0.1051, relative_absolute_error: 0.9509, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2992, root_relative_squared_error: 1.3793,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8841, f_measure: 0.7833, kappa: 0.769, kb_relative_information_score: 0.7778, mean_absolute_error: 0.0217, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7889, predictive_accuracy: 0.7828, prior_entropy: 4.2, recall: 0.7828, relative_absolute_error: 0.2307, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1474, root_relative_squared_error: 0.6794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.065, mean_absolute_error: 0.0895, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.1051, prior_entropy: 4.2, recall: 0.1051, relative_absolute_error: 0.9509, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2992, root_relative_squared_error: 1.3793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.065, mean_absolute_error: 0.0895, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.1051, prior_entropy: 4.2, recall: 0.1051, relative_absolute_error: 0.9509, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2992, root_relative_squared_error: 1.3793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kappa: 0, kb_relative_information_score: 0.065, mean_absolute_error: 0.0895, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.1051, prior_entropy: 4.2, recall: 0.1051, relative_absolute_error: 0.9509, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2992, root_relative_squared_error: 1.3793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.065, mean_absolute_error: 0.0895, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.1051, prior_entropy: 4.2, recall: 0.1051, relative_absolute_error: 0.9509, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2992, root_relative_squared_error: 1.3793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.065, mean_absolute_error: 0.0895, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.1051, prior_entropy: 4.2, recall: 0.1051, relative_absolute_error: 0.9509, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2992, root_relative_squared_error: 1.3793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.065, mean_absolute_error: 0.0895, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.1051, prior_entropy: 4.2, recall: 0.1051, relative_absolute_error: 0.9509, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2992, root_relative_squared_error: 1.3793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kappa: 0.0001, kb_relative_information_score: 0.065, mean_absolute_error: 0.0895, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.1051, prior_entropy: 4.2, recall: 0.1051, relative_absolute_error: 0.9509, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2992, root_relative_squared_error: 1.3793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kappa: 0.0001, kb_relative_information_score: 0.065, mean_absolute_error: 0.0895, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.1051, prior_entropy: 4.2, recall: 0.1051, relative_absolute_error: 0.9509, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2992, root_relative_squared_error: 1.3793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.065, mean_absolute_error: 0.0895, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.1051, prior_entropy: 4.2, recall: 0.1051, relative_absolute_error: 0.9509, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2992, root_relative_squared_error: 1.3793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.065, mean_absolute_error: 0.0895, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.1051, prior_entropy: 4.2, recall: 0.1051, relative_absolute_error: 0.9509, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2992, root_relative_squared_error: 1.3793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.065, mean_absolute_error: 0.0895, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.1051, prior_entropy: 4.2, recall: 0.1051, relative_absolute_error: 0.9509, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2992, root_relative_squared_error: 1.3793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kappa: 0, kb_relative_information_score: 0.065, mean_absolute_error: 0.0895, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.1051, prior_entropy: 4.2, recall: 0.1051, relative_absolute_error: 0.9509, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2992, root_relative_squared_error: 1.3793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.065, mean_absolute_error: 0.0895, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.1051, prior_entropy: 4.2, recall: 0.1051, relative_absolute_error: 0.9509, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2992, root_relative_squared_error: 1.3793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.065, mean_absolute_error: 0.0895, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.1051, prior_entropy: 4.2, recall: 0.1051, relative_absolute_error: 0.9509, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2992, root_relative_squared_error: 1.3793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.065, mean_absolute_error: 0.0895, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.1051, prior_entropy: 4.2, recall: 0.1051, relative_absolute_error: 0.9509, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2992, root_relative_squared_error: 1.3793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kappa: 0.0001, kb_relative_information_score: 0.065, mean_absolute_error: 0.0895, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.1051, prior_entropy: 4.2, recall: 0.1051, relative_absolute_error: 0.9509, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2992, root_relative_squared_error: 1.3793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.065, mean_absolute_error: 0.0895, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.1051, prior_entropy: 4.2, recall: 0.1051, relative_absolute_error: 0.9509, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2992, root_relative_squared_error: 1.3793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.065, mean_absolute_error: 0.0895, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.1051, prior_entropy: 4.2, recall: 0.1051, relative_absolute_error: 0.9509, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2992, root_relative_squared_error: 1.3793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.065, mean_absolute_error: 0.0895, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.1051, prior_entropy: 4.2, recall: 0.1051, relative_absolute_error: 0.9509, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2992, root_relative_squared_error: 1.3793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.065, mean_absolute_error: 0.0895, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.1051, prior_entropy: 4.2, recall: 0.1051, relative_absolute_error: 0.9509, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2992, root_relative_squared_error: 1.3793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8567, f_measure: 0.7352, kappa: 0.7147, kb_relative_information_score: 0.7238, mean_absolute_error: 0.0268, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7497, predictive_accuracy: 0.732, prior_entropy: 4.2, recall: 0.732, relative_absolute_error: 0.2847, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1637, root_relative_squared_error: 0.7547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kappa: 0.0001, kb_relative_information_score: 0.065, mean_absolute_error: 0.0895, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.1051, prior_entropy: 4.2, recall: 0.1051, relative_absolute_error: 0.9509, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2992, root_relative_squared_error: 1.3793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kappa: 0.0001, kb_relative_information_score: 0.065, mean_absolute_error: 0.0895, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.1051, prior_entropy: 4.2, recall: 0.1051, relative_absolute_error: 0.9509, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2992, root_relative_squared_error: 1.3793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kappa: 0.0001, kb_relative_information_score: 0.065, mean_absolute_error: 0.0895, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.1051, prior_entropy: 4.2, recall: 0.1051, relative_absolute_error: 0.9509, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2992, root_relative_squared_error: 1.3793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kappa: 0.0001, kb_relative_information_score: 0.065, mean_absolute_error: 0.0895, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.1051, prior_entropy: 4.2, recall: 0.1051, relative_absolute_error: 0.9509, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2992, root_relative_squared_error: 1.3793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kappa: 0.0001, kb_relative_information_score: 0.065, mean_absolute_error: 0.0895, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.1051, prior_entropy: 4.2, recall: 0.1051, relative_absolute_error: 0.9509, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2992, root_relative_squared_error: 1.3793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.065, mean_absolute_error: 0.0895, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.1051, prior_entropy: 4.2, recall: 0.1051, relative_absolute_error: 0.9509, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2992, root_relative_squared_error: 1.3793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.065, mean_absolute_error: 0.0895, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.1051, prior_entropy: 4.2, recall: 0.1051, relative_absolute_error: 0.9509, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2992, root_relative_squared_error: 1.3793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.065, mean_absolute_error: 0.0895, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.1051, prior_entropy: 4.2, recall: 0.1051, relative_absolute_error: 0.9509, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2992, root_relative_squared_error: 1.3793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kappa: 0.0001, kb_relative_information_score: 0.065, mean_absolute_error: 0.0895, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.1051, prior_entropy: 4.2, recall: 0.1051, relative_absolute_error: 0.9509, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2992, root_relative_squared_error: 1.3793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.065, mean_absolute_error: 0.0895, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.1051, prior_entropy: 4.2, recall: 0.1051, relative_absolute_error: 0.9509, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2992, root_relative_squared_error: 1.3793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kappa: 0.0001, kb_relative_information_score: 0.065, mean_absolute_error: 0.0895, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.1051, prior_entropy: 4.2, recall: 0.1051, relative_absolute_error: 0.9509, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2992, root_relative_squared_error: 1.3793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kappa: 0.0001, kb_relative_information_score: 0.065, mean_absolute_error: 0.0895, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.1051, prior_entropy: 4.2, recall: 0.1051, relative_absolute_error: 0.9509, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2992, root_relative_squared_error: 1.3793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.065, mean_absolute_error: 0.0895, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.1051, prior_entropy: 4.2, recall: 0.1051, relative_absolute_error: 0.9509, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2992, root_relative_squared_error: 1.3793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kappa: 0.0001, kb_relative_information_score: 0.065, mean_absolute_error: 0.0895, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.1051, prior_entropy: 4.2, recall: 0.1051, relative_absolute_error: 0.9509, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2992, root_relative_squared_error: 1.3793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.065, mean_absolute_error: 0.0895, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.1051, prior_entropy: 4.2, recall: 0.1051, relative_absolute_error: 0.9509, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2992, root_relative_squared_error: 1.3793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.065, mean_absolute_error: 0.0895, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.1051, prior_entropy: 4.2, recall: 0.1051, relative_absolute_error: 0.9509, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2992, root_relative_squared_error: 1.3793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kappa: 0.0001, kb_relative_information_score: 0.065, mean_absolute_error: 0.0895, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.1051, prior_entropy: 4.2, recall: 0.1051, relative_absolute_error: 0.9509, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2992, root_relative_squared_error: 1.3793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0307, mean_absolute_error: 0.0951, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.049, prior_entropy: 4.2, recall: 0.049, relative_absolute_error: 1.0104, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.3084, root_relative_squared_error: 1.4218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kappa: 0.0001, kb_relative_information_score: 0.065, mean_absolute_error: 0.0895, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.1051, prior_entropy: 4.2, recall: 0.1051, relative_absolute_error: 0.9509, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2992, root_relative_squared_error: 1.3793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.065, mean_absolute_error: 0.0895, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.1051, prior_entropy: 4.2, recall: 0.1051, relative_absolute_error: 0.9509, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2992, root_relative_squared_error: 1.3793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kappa: 0.0001, kb_relative_information_score: 0.065, mean_absolute_error: 0.0895, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.1051, prior_entropy: 4.2, recall: 0.1051, relative_absolute_error: 0.9509, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2992, root_relative_squared_error: 1.3793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kappa: 0.0001, kb_relative_information_score: 0.065, mean_absolute_error: 0.0895, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.1051, prior_entropy: 4.2, recall: 0.1051, relative_absolute_error: 0.9509, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2992, root_relative_squared_error: 1.3793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.065, mean_absolute_error: 0.0895, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.1051, prior_entropy: 4.2, recall: 0.1051, relative_absolute_error: 0.9509, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2992, root_relative_squared_error: 1.3793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.065, mean_absolute_error: 0.0895, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.1051, prior_entropy: 4.2, recall: 0.1051, relative_absolute_error: 0.9509, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2992, root_relative_squared_error: 1.3793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.065, mean_absolute_error: 0.0895, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.1051, prior_entropy: 4.2, recall: 0.1051, relative_absolute_error: 0.9509, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2992, root_relative_squared_error: 1.3793,

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