Task
Supervised Classification on mfeat-morphological

Supervised Classification on mfeat-morphological

Task 18 Supervised Classification mfeat-morphological 21757 runs submitted
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  • at2 basic OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_41 study_7 study_70 study_98 study_99 under100k under1m
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21757 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8142, f_measure: 0.6516, kappa: 0.6144, kb_relative_information_score: 0.6457, mean_absolute_error: 0.069, mean_prior_absolute_error: 0.18, weighted_recall: 0.653, number_of_instances: 2000, precision: 0.6511, predictive_accuracy: 0.653, prior_entropy: 3.3219, relative_absolute_error: 0.3834, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2598, root_relative_squared_error: 0.8659, unweighted_recall: 0.653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9664, f_measure: 0.7405, kappa: 0.7139, kb_relative_information_score: 0.7775, mean_absolute_error: 0.0612, mean_prior_absolute_error: 0.18, weighted_recall: 0.7425, number_of_instances: 2000, precision: 0.7419, predictive_accuracy: 0.7425, prior_entropy: 3.3219, relative_absolute_error: 0.34, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1777, root_relative_squared_error: 0.5925, unweighted_recall: 0.7425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9569, f_measure: 0.6814, kappa: 0.6461, kb_relative_information_score: 0.7061, mean_absolute_error: 0.0632, mean_prior_absolute_error: 0.18, weighted_recall: 0.6815, number_of_instances: 2000, precision: 0.6816, predictive_accuracy: 0.6815, prior_entropy: 3.3219, relative_absolute_error: 0.3511, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2234, root_relative_squared_error: 0.7447, unweighted_recall: 0.6815,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9096, f_measure: 0.7032, kappa: 0.6717, kb_relative_information_score: 0.7011, mean_absolute_error: 0.0721, mean_prior_absolute_error: 0.18, weighted_recall: 0.7045, number_of_instances: 2000, precision: 0.7032, predictive_accuracy: 0.7045, prior_entropy: 3.3219, relative_absolute_error: 0.4005, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2168, root_relative_squared_error: 0.7226, unweighted_recall: 0.7045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9589, f_measure: 0.7081, kappa: 0.6761, kb_relative_information_score: 0.7476, mean_absolute_error: 0.0635, mean_prior_absolute_error: 0.18, weighted_recall: 0.7085, number_of_instances: 2000, precision: 0.7097, predictive_accuracy: 0.7085, prior_entropy: 3.3219, relative_absolute_error: 0.3528, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.194, root_relative_squared_error: 0.6468, unweighted_recall: 0.7085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7247, kappa: 0.135, kb_relative_information_score: 0.1827, mean_absolute_error: 0.1682, mean_prior_absolute_error: 0.18, weighted_recall: 0.2215, number_of_instances: 2000, predictive_accuracy: 0.2215, prior_entropy: 3.3219, relative_absolute_error: 0.9343, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2938, root_relative_squared_error: 0.9793, unweighted_recall: 0.2215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9534, f_measure: 0.7043, kappa: 0.6728, kb_relative_information_score: 0.7271, mean_absolute_error: 0.0692, mean_prior_absolute_error: 0.18, weighted_recall: 0.7055, number_of_instances: 2000, precision: 0.7045, predictive_accuracy: 0.7055, prior_entropy: 3.3219, relative_absolute_error: 0.3843, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2016, root_relative_squared_error: 0.6722, unweighted_recall: 0.7055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8425, f_measure: 0.7143, kappa: 0.685, kb_relative_information_score: 0.7035, mean_absolute_error: 0.0567, mean_prior_absolute_error: 0.18, weighted_recall: 0.7165, number_of_instances: 2000, precision: 0.7219, predictive_accuracy: 0.7165, prior_entropy: 3.3219, relative_absolute_error: 0.315, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2381, root_relative_squared_error: 0.7937, unweighted_recall: 0.7165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9433, kappa: 0.5583, kb_relative_information_score: 0.6163, mean_absolute_error: 0.0811, mean_prior_absolute_error: 0.18, weighted_recall: 0.6025, number_of_instances: 2000, predictive_accuracy: 0.6025, prior_entropy: 3.3219, relative_absolute_error: 0.4503, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2549, root_relative_squared_error: 0.8498, unweighted_recall: 0.6025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.812, f_measure: 0.6485, kappa: 0.61, kb_relative_information_score: 0.6406, mean_absolute_error: 0.0703, mean_prior_absolute_error: 0.18, weighted_recall: 0.649, number_of_instances: 2000, precision: 0.6489, predictive_accuracy: 0.649, prior_entropy: 3.3219, relative_absolute_error: 0.3904, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2616, root_relative_squared_error: 0.872, unweighted_recall: 0.649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9419, f_measure: 0.7142, kappa: 0.6822, kb_relative_information_score: 0.7613, mean_absolute_error: 0.0634, mean_prior_absolute_error: 0.18, weighted_recall: 0.714, number_of_instances: 2000, precision: 0.7155, predictive_accuracy: 0.714, prior_entropy: 3.3219, relative_absolute_error: 0.3523, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1932, root_relative_squared_error: 0.6442, unweighted_recall: 0.714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8372, f_measure: 0.7025, kappa: 0.6744, kb_relative_information_score: 0.6936, mean_absolute_error: 0.0586, mean_prior_absolute_error: 0.18, weighted_recall: 0.707, number_of_instances: 2000, precision: 0.7088, predictive_accuracy: 0.707, prior_entropy: 3.3219, relative_absolute_error: 0.3256, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2421, root_relative_squared_error: 0.8069, unweighted_recall: 0.707,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9639, f_measure: 0.7379, kappa: 0.7094, kb_relative_information_score: 0.7467, mean_absolute_error: 0.0719, mean_prior_absolute_error: 0.18, weighted_recall: 0.7385, number_of_instances: 2000, precision: 0.7414, predictive_accuracy: 0.7385, prior_entropy: 3.3219, relative_absolute_error: 0.3996, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1821, root_relative_squared_error: 0.607, unweighted_recall: 0.7385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9664, f_measure: 0.7405, kappa: 0.7139, kb_relative_information_score: 0.7775, mean_absolute_error: 0.0612, mean_prior_absolute_error: 0.18, weighted_recall: 0.7425, number_of_instances: 2000, precision: 0.7419, predictive_accuracy: 0.7425, prior_entropy: 3.3219, relative_absolute_error: 0.34, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1777, root_relative_squared_error: 0.5925, unweighted_recall: 0.7425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9569, f_measure: 0.6814, kappa: 0.6461, kb_relative_information_score: 0.7061, mean_absolute_error: 0.0632, mean_prior_absolute_error: 0.18, weighted_recall: 0.6815, number_of_instances: 2000, precision: 0.6816, predictive_accuracy: 0.6815, prior_entropy: 3.3219, relative_absolute_error: 0.3511, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2234, root_relative_squared_error: 0.7447, unweighted_recall: 0.6815,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9096, f_measure: 0.7032, kappa: 0.6717, kb_relative_information_score: 0.7011, mean_absolute_error: 0.0721, mean_prior_absolute_error: 0.18, weighted_recall: 0.7045, number_of_instances: 2000, precision: 0.7032, predictive_accuracy: 0.7045, prior_entropy: 3.3219, relative_absolute_error: 0.4005, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2168, root_relative_squared_error: 0.7226, unweighted_recall: 0.7045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9589, f_measure: 0.7081, kappa: 0.6761, kb_relative_information_score: 0.7476, mean_absolute_error: 0.0635, mean_prior_absolute_error: 0.18, weighted_recall: 0.7085, number_of_instances: 2000, precision: 0.7097, predictive_accuracy: 0.7085, prior_entropy: 3.3219, relative_absolute_error: 0.3528, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.194, root_relative_squared_error: 0.6468, unweighted_recall: 0.7085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7247, kappa: 0.135, kb_relative_information_score: 0.1827, mean_absolute_error: 0.1682, mean_prior_absolute_error: 0.18, weighted_recall: 0.2215, number_of_instances: 2000, predictive_accuracy: 0.2215, prior_entropy: 3.3219, relative_absolute_error: 0.9343, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2938, root_relative_squared_error: 0.9793, unweighted_recall: 0.2215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9534, f_measure: 0.7043, kappa: 0.6728, kb_relative_information_score: 0.7271, mean_absolute_error: 0.0692, mean_prior_absolute_error: 0.18, weighted_recall: 0.7055, number_of_instances: 2000, precision: 0.7045, predictive_accuracy: 0.7055, prior_entropy: 3.3219, relative_absolute_error: 0.3843, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2016, root_relative_squared_error: 0.6722, unweighted_recall: 0.7055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8425, f_measure: 0.7143, kappa: 0.685, kb_relative_information_score: 0.7035, mean_absolute_error: 0.0567, mean_prior_absolute_error: 0.18, weighted_recall: 0.7165, number_of_instances: 2000, precision: 0.7219, predictive_accuracy: 0.7165, prior_entropy: 3.3219, relative_absolute_error: 0.315, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2381, root_relative_squared_error: 0.7937, unweighted_recall: 0.7165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9433, kappa: 0.5583, kb_relative_information_score: 0.6163, mean_absolute_error: 0.0811, mean_prior_absolute_error: 0.18, weighted_recall: 0.6025, number_of_instances: 2000, predictive_accuracy: 0.6025, prior_entropy: 3.3219, relative_absolute_error: 0.4503, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2549, root_relative_squared_error: 0.8498, unweighted_recall: 0.6025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.812, f_measure: 0.6485, kappa: 0.61, kb_relative_information_score: 0.6406, mean_absolute_error: 0.0703, mean_prior_absolute_error: 0.18, weighted_recall: 0.649, number_of_instances: 2000, precision: 0.6489, predictive_accuracy: 0.649, prior_entropy: 3.3219, relative_absolute_error: 0.3904, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2616, root_relative_squared_error: 0.872, unweighted_recall: 0.649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9419, f_measure: 0.7142, kappa: 0.6822, kb_relative_information_score: 0.7613, mean_absolute_error: 0.0634, mean_prior_absolute_error: 0.18, weighted_recall: 0.714, number_of_instances: 2000, precision: 0.7155, predictive_accuracy: 0.714, prior_entropy: 3.3219, relative_absolute_error: 0.3523, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1932, root_relative_squared_error: 0.6442, unweighted_recall: 0.714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8372, f_measure: 0.7025, kappa: 0.6744, kb_relative_information_score: 0.6936, mean_absolute_error: 0.0586, mean_prior_absolute_error: 0.18, weighted_recall: 0.707, number_of_instances: 2000, precision: 0.7088, predictive_accuracy: 0.707, prior_entropy: 3.3219, relative_absolute_error: 0.3256, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2421, root_relative_squared_error: 0.8069, unweighted_recall: 0.707,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9639, f_measure: 0.7379, kappa: 0.7094, kb_relative_information_score: 0.7467, mean_absolute_error: 0.0719, mean_prior_absolute_error: 0.18, weighted_recall: 0.7385, number_of_instances: 2000, precision: 0.7414, predictive_accuracy: 0.7385, prior_entropy: 3.3219, relative_absolute_error: 0.3996, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1821, root_relative_squared_error: 0.607, unweighted_recall: 0.7385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9664, f_measure: 0.7405, kappa: 0.7139, kb_relative_information_score: 0.7775, mean_absolute_error: 0.0612, mean_prior_absolute_error: 0.18, weighted_recall: 0.7425, number_of_instances: 2000, precision: 0.7419, predictive_accuracy: 0.7425, prior_entropy: 3.3219, relative_absolute_error: 0.34, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1777, root_relative_squared_error: 0.5925, unweighted_recall: 0.7425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9569, f_measure: 0.6814, kappa: 0.6461, kb_relative_information_score: 0.7061, mean_absolute_error: 0.0632, mean_prior_absolute_error: 0.18, weighted_recall: 0.6815, number_of_instances: 2000, precision: 0.6816, predictive_accuracy: 0.6815, prior_entropy: 3.3219, relative_absolute_error: 0.3511, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2234, root_relative_squared_error: 0.7447, unweighted_recall: 0.6815,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9096, f_measure: 0.7032, kappa: 0.6717, kb_relative_information_score: 0.7011, mean_absolute_error: 0.0721, mean_prior_absolute_error: 0.18, weighted_recall: 0.7045, number_of_instances: 2000, precision: 0.7032, predictive_accuracy: 0.7045, prior_entropy: 3.3219, relative_absolute_error: 0.4005, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2168, root_relative_squared_error: 0.7226, unweighted_recall: 0.7045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9589, f_measure: 0.7081, kappa: 0.6761, kb_relative_information_score: 0.7476, mean_absolute_error: 0.0635, mean_prior_absolute_error: 0.18, weighted_recall: 0.7085, number_of_instances: 2000, precision: 0.7097, predictive_accuracy: 0.7085, prior_entropy: 3.3219, relative_absolute_error: 0.3528, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.194, root_relative_squared_error: 0.6468, unweighted_recall: 0.7085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7247, kappa: 0.135, kb_relative_information_score: 0.1827, mean_absolute_error: 0.1682, mean_prior_absolute_error: 0.18, weighted_recall: 0.2215, number_of_instances: 2000, predictive_accuracy: 0.2215, prior_entropy: 3.3219, relative_absolute_error: 0.9343, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2938, root_relative_squared_error: 0.9793, unweighted_recall: 0.2215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9534, f_measure: 0.7043, kappa: 0.6728, kb_relative_information_score: 0.7271, mean_absolute_error: 0.0692, mean_prior_absolute_error: 0.18, weighted_recall: 0.7055, number_of_instances: 2000, precision: 0.7045, predictive_accuracy: 0.7055, prior_entropy: 3.3219, relative_absolute_error: 0.3843, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2016, root_relative_squared_error: 0.6722, unweighted_recall: 0.7055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8425, f_measure: 0.7143, kappa: 0.685, kb_relative_information_score: 0.7035, mean_absolute_error: 0.0567, mean_prior_absolute_error: 0.18, weighted_recall: 0.7165, number_of_instances: 2000, precision: 0.7219, predictive_accuracy: 0.7165, prior_entropy: 3.3219, relative_absolute_error: 0.315, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2381, root_relative_squared_error: 0.7937, unweighted_recall: 0.7165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9433, kappa: 0.5583, kb_relative_information_score: 0.6163, mean_absolute_error: 0.0811, mean_prior_absolute_error: 0.18, weighted_recall: 0.6025, number_of_instances: 2000, predictive_accuracy: 0.6025, prior_entropy: 3.3219, relative_absolute_error: 0.4503, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2549, root_relative_squared_error: 0.8498, unweighted_recall: 0.6025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.812, f_measure: 0.6485, kappa: 0.61, kb_relative_information_score: 0.6406, mean_absolute_error: 0.0703, mean_prior_absolute_error: 0.18, weighted_recall: 0.649, number_of_instances: 2000, precision: 0.6489, predictive_accuracy: 0.649, prior_entropy: 3.3219, relative_absolute_error: 0.3904, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2616, root_relative_squared_error: 0.872, unweighted_recall: 0.649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9419, f_measure: 0.7142, kappa: 0.6822, kb_relative_information_score: 0.7613, mean_absolute_error: 0.0634, mean_prior_absolute_error: 0.18, weighted_recall: 0.714, number_of_instances: 2000, precision: 0.7155, predictive_accuracy: 0.714, prior_entropy: 3.3219, relative_absolute_error: 0.3523, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1932, root_relative_squared_error: 0.6442, unweighted_recall: 0.714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8372, f_measure: 0.7025, kappa: 0.6744, kb_relative_information_score: 0.6936, mean_absolute_error: 0.0586, mean_prior_absolute_error: 0.18, weighted_recall: 0.707, number_of_instances: 2000, precision: 0.7088, predictive_accuracy: 0.707, prior_entropy: 3.3219, relative_absolute_error: 0.3256, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2421, root_relative_squared_error: 0.8069, unweighted_recall: 0.707,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9639, f_measure: 0.7379, kappa: 0.7094, kb_relative_information_score: 0.7467, mean_absolute_error: 0.0719, mean_prior_absolute_error: 0.18, weighted_recall: 0.7385, number_of_instances: 2000, precision: 0.7414, predictive_accuracy: 0.7385, prior_entropy: 3.3219, relative_absolute_error: 0.3996, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1821, root_relative_squared_error: 0.607, unweighted_recall: 0.7385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9664, f_measure: 0.7405, kappa: 0.7139, kb_relative_information_score: 0.7775, mean_absolute_error: 0.0612, mean_prior_absolute_error: 0.18, weighted_recall: 0.7425, number_of_instances: 2000, precision: 0.7419, predictive_accuracy: 0.7425, prior_entropy: 3.3219, relative_absolute_error: 0.34, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1777, root_relative_squared_error: 0.5925, unweighted_recall: 0.7425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9569, f_measure: 0.6814, kappa: 0.6461, kb_relative_information_score: 0.7061, mean_absolute_error: 0.0632, mean_prior_absolute_error: 0.18, weighted_recall: 0.6815, number_of_instances: 2000, precision: 0.6816, predictive_accuracy: 0.6815, prior_entropy: 3.3219, relative_absolute_error: 0.3511, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2234, root_relative_squared_error: 0.7447, unweighted_recall: 0.6815,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9096, f_measure: 0.7032, kappa: 0.6717, kb_relative_information_score: 0.7011, mean_absolute_error: 0.0721, mean_prior_absolute_error: 0.18, weighted_recall: 0.7045, number_of_instances: 2000, precision: 0.7032, predictive_accuracy: 0.7045, prior_entropy: 3.3219, relative_absolute_error: 0.4005, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2168, root_relative_squared_error: 0.7226, unweighted_recall: 0.7045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9589, f_measure: 0.7081, kappa: 0.6761, kb_relative_information_score: 0.7476, mean_absolute_error: 0.0635, mean_prior_absolute_error: 0.18, weighted_recall: 0.7085, number_of_instances: 2000, precision: 0.7097, predictive_accuracy: 0.7085, prior_entropy: 3.3219, relative_absolute_error: 0.3528, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.194, root_relative_squared_error: 0.6468, unweighted_recall: 0.7085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7247, kappa: 0.135, kb_relative_information_score: 0.1827, mean_absolute_error: 0.1682, mean_prior_absolute_error: 0.18, weighted_recall: 0.2215, number_of_instances: 2000, predictive_accuracy: 0.2215, prior_entropy: 3.3219, relative_absolute_error: 0.9343, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2938, root_relative_squared_error: 0.9793, unweighted_recall: 0.2215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9534, f_measure: 0.7043, kappa: 0.6728, kb_relative_information_score: 0.7271, mean_absolute_error: 0.0692, mean_prior_absolute_error: 0.18, weighted_recall: 0.7055, number_of_instances: 2000, precision: 0.7045, predictive_accuracy: 0.7055, prior_entropy: 3.3219, relative_absolute_error: 0.3843, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2016, root_relative_squared_error: 0.6722, unweighted_recall: 0.7055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8425, f_measure: 0.7143, kappa: 0.685, kb_relative_information_score: 0.7035, mean_absolute_error: 0.0567, mean_prior_absolute_error: 0.18, weighted_recall: 0.7165, number_of_instances: 2000, precision: 0.7219, predictive_accuracy: 0.7165, prior_entropy: 3.3219, relative_absolute_error: 0.315, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2381, root_relative_squared_error: 0.7937, unweighted_recall: 0.7165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9433, kappa: 0.5583, kb_relative_information_score: 0.6163, mean_absolute_error: 0.0811, mean_prior_absolute_error: 0.18, weighted_recall: 0.6025, number_of_instances: 2000, predictive_accuracy: 0.6025, prior_entropy: 3.3219, relative_absolute_error: 0.4503, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2549, root_relative_squared_error: 0.8498, unweighted_recall: 0.6025,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9534, f_measure: 0.7043, kappa: 0.6728, kb_relative_information_score: 0.7271, mean_absolute_error: 0.0692, mean_prior_absolute_error: 0.18, weighted_recall: 0.7055, number_of_instances: 2000, precision: 0.7045, predictive_accuracy: 0.7055, prior_entropy: 3.3219, relative_absolute_error: 0.3843, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2016, root_relative_squared_error: 0.6722, unweighted_recall: 0.7055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8425, f_measure: 0.7143, kappa: 0.685, kb_relative_information_score: 0.7035, mean_absolute_error: 0.0567, mean_prior_absolute_error: 0.18, weighted_recall: 0.7165, number_of_instances: 2000, precision: 0.7219, predictive_accuracy: 0.7165, prior_entropy: 3.3219, relative_absolute_error: 0.315, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2381, root_relative_squared_error: 0.7937, unweighted_recall: 0.7165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9433, kappa: 0.5583, kb_relative_information_score: 0.6163, mean_absolute_error: 0.0811, mean_prior_absolute_error: 0.18, weighted_recall: 0.6025, number_of_instances: 2000, predictive_accuracy: 0.6025, prior_entropy: 3.3219, relative_absolute_error: 0.4503, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2549, root_relative_squared_error: 0.8498, unweighted_recall: 0.6025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.812, f_measure: 0.6485, kappa: 0.61, kb_relative_information_score: 0.6406, mean_absolute_error: 0.0703, mean_prior_absolute_error: 0.18, weighted_recall: 0.649, number_of_instances: 2000, precision: 0.6489, predictive_accuracy: 0.649, prior_entropy: 3.3219, relative_absolute_error: 0.3904, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2616, root_relative_squared_error: 0.872, unweighted_recall: 0.649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9419, f_measure: 0.7142, kappa: 0.6822, kb_relative_information_score: 0.7613, mean_absolute_error: 0.0634, mean_prior_absolute_error: 0.18, weighted_recall: 0.714, number_of_instances: 2000, precision: 0.7155, predictive_accuracy: 0.714, prior_entropy: 3.3219, relative_absolute_error: 0.3523, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1932, root_relative_squared_error: 0.6442, unweighted_recall: 0.714,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9569, f_measure: 0.6814, kappa: 0.6461, kb_relative_information_score: 0.7061, mean_absolute_error: 0.0632, mean_prior_absolute_error: 0.18, weighted_recall: 0.6815, number_of_instances: 2000, precision: 0.6816, predictive_accuracy: 0.6815, prior_entropy: 3.3219, relative_absolute_error: 0.3511, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2234, root_relative_squared_error: 0.7447, unweighted_recall: 0.6815,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.959, f_measure: 0.7092, kappa: 0.6772, kb_relative_information_score: 0.7479, mean_absolute_error: 0.0635, mean_prior_absolute_error: 0.18, weighted_recall: 0.7095, number_of_instances: 2000, precision: 0.711, predictive_accuracy: 0.7095, prior_entropy: 3.3219, relative_absolute_error: 0.3525, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1939, root_relative_squared_error: 0.6463, unweighted_recall: 0.7095,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9433, kappa: 0.5583, kb_relative_information_score: 0.6163, mean_absolute_error: 0.0811, mean_prior_absolute_error: 0.18, weighted_recall: 0.6025, number_of_instances: 2000, predictive_accuracy: 0.6025, prior_entropy: 3.3219, relative_absolute_error: 0.4503, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2549, root_relative_squared_error: 0.8498, unweighted_recall: 0.6025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8143, f_measure: 0.6527, kappa: 0.6144, kb_relative_information_score: 0.6449, mean_absolute_error: 0.0694, mean_prior_absolute_error: 0.18, weighted_recall: 0.653, number_of_instances: 2000, precision: 0.6539, predictive_accuracy: 0.653, prior_entropy: 3.3219, relative_absolute_error: 0.3856, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2601, root_relative_squared_error: 0.8668, unweighted_recall: 0.653,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7247, kappa: 0.135, kb_relative_information_score: 0.1827, mean_absolute_error: 0.1682, mean_prior_absolute_error: 0.18, weighted_recall: 0.2215, number_of_instances: 2000, predictive_accuracy: 0.2215, prior_entropy: 3.3219, relative_absolute_error: 0.9343, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2938, root_relative_squared_error: 0.9793, unweighted_recall: 0.2215,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9433, kappa: 0.5583, kb_relative_information_score: 0.6163, mean_absolute_error: 0.0811, mean_prior_absolute_error: 0.18, weighted_recall: 0.6025, number_of_instances: 2000, predictive_accuracy: 0.6025, prior_entropy: 3.3219, relative_absolute_error: 0.4503, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2549, root_relative_squared_error: 0.8498, unweighted_recall: 0.6025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8143, f_measure: 0.6527, kappa: 0.6144, kb_relative_information_score: 0.6449, mean_absolute_error: 0.0694, mean_prior_absolute_error: 0.18, weighted_recall: 0.653, number_of_instances: 2000, precision: 0.6539, predictive_accuracy: 0.653, prior_entropy: 3.3219, relative_absolute_error: 0.3856, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2601, root_relative_squared_error: 0.8668, unweighted_recall: 0.653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9419, f_measure: 0.7142, kappa: 0.6822, kb_relative_information_score: 0.7613, mean_absolute_error: 0.0634, mean_prior_absolute_error: 0.18, weighted_recall: 0.714, number_of_instances: 2000, precision: 0.7155, predictive_accuracy: 0.714, prior_entropy: 3.3219, relative_absolute_error: 0.3523, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1932, root_relative_squared_error: 0.6442, unweighted_recall: 0.714,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9669, f_measure: 0.7415, kappa: 0.7144, kb_relative_information_score: 0.7786, mean_absolute_error: 0.0609, mean_prior_absolute_error: 0.18, weighted_recall: 0.743, number_of_instances: 2000, precision: 0.7435, predictive_accuracy: 0.743, prior_entropy: 3.3219, relative_absolute_error: 0.3381, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1774, root_relative_squared_error: 0.5912, unweighted_recall: 0.743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9569, f_measure: 0.6814, kappa: 0.6461, kb_relative_information_score: 0.7061, mean_absolute_error: 0.0632, mean_prior_absolute_error: 0.18, weighted_recall: 0.6815, number_of_instances: 2000, precision: 0.6816, predictive_accuracy: 0.6815, prior_entropy: 3.3219, relative_absolute_error: 0.3511, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2234, root_relative_squared_error: 0.7447, unweighted_recall: 0.6815,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9097, f_measure: 0.7043, kappa: 0.6722, kb_relative_information_score: 0.7018, mean_absolute_error: 0.0719, mean_prior_absolute_error: 0.18, weighted_recall: 0.705, number_of_instances: 2000, precision: 0.7047, predictive_accuracy: 0.705, prior_entropy: 3.3219, relative_absolute_error: 0.3996, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2168, root_relative_squared_error: 0.7226, unweighted_recall: 0.705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.959, f_measure: 0.7092, kappa: 0.6772, kb_relative_information_score: 0.7479, mean_absolute_error: 0.0635, mean_prior_absolute_error: 0.18, weighted_recall: 0.7095, number_of_instances: 2000, precision: 0.711, predictive_accuracy: 0.7095, prior_entropy: 3.3219, relative_absolute_error: 0.3525, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1939, root_relative_squared_error: 0.6463, unweighted_recall: 0.7095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7247, kappa: 0.135, kb_relative_information_score: 0.1827, mean_absolute_error: 0.1682, mean_prior_absolute_error: 0.18, weighted_recall: 0.2215, number_of_instances: 2000, predictive_accuracy: 0.2215, prior_entropy: 3.3219, relative_absolute_error: 0.9343, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2938, root_relative_squared_error: 0.9793, unweighted_recall: 0.2215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9535, f_measure: 0.702, kappa: 0.67, kb_relative_information_score: 0.7257, mean_absolute_error: 0.0692, mean_prior_absolute_error: 0.18, weighted_recall: 0.703, number_of_instances: 2000, precision: 0.702, predictive_accuracy: 0.703, prior_entropy: 3.3219, relative_absolute_error: 0.3845, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2022, root_relative_squared_error: 0.674, unweighted_recall: 0.703,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8425, f_measure: 0.7143, kappa: 0.685, kb_relative_information_score: 0.7035, mean_absolute_error: 0.0567, mean_prior_absolute_error: 0.18, weighted_recall: 0.7165, number_of_instances: 2000, precision: 0.7219, predictive_accuracy: 0.7165, prior_entropy: 3.3219, relative_absolute_error: 0.315, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2381, root_relative_squared_error: 0.7937, unweighted_recall: 0.7165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9433, kappa: 0.5583, kb_relative_information_score: 0.6163, mean_absolute_error: 0.0811, mean_prior_absolute_error: 0.18, weighted_recall: 0.6025, number_of_instances: 2000, predictive_accuracy: 0.6025, prior_entropy: 3.3219, relative_absolute_error: 0.4503, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2549, root_relative_squared_error: 0.8498, unweighted_recall: 0.6025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8143, f_measure: 0.6527, kappa: 0.6144, kb_relative_information_score: 0.6449, mean_absolute_error: 0.0694, mean_prior_absolute_error: 0.18, weighted_recall: 0.653, number_of_instances: 2000, precision: 0.6539, predictive_accuracy: 0.653, prior_entropy: 3.3219, relative_absolute_error: 0.3856, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2601, root_relative_squared_error: 0.8668, unweighted_recall: 0.653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9419, f_measure: 0.7142, kappa: 0.6822, kb_relative_information_score: 0.7613, mean_absolute_error: 0.0634, mean_prior_absolute_error: 0.18, weighted_recall: 0.714, number_of_instances: 2000, precision: 0.7155, predictive_accuracy: 0.714, prior_entropy: 3.3219, relative_absolute_error: 0.3523, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1932, root_relative_squared_error: 0.6442, unweighted_recall: 0.714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8294, f_measure: 0.6855, kappa: 0.6589, kb_relative_information_score: 0.679, mean_absolute_error: 0.0614, mean_prior_absolute_error: 0.18, weighted_recall: 0.693, number_of_instances: 2000, precision: 0.7009, predictive_accuracy: 0.693, prior_entropy: 3.3219, relative_absolute_error: 0.3411, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2478, root_relative_squared_error: 0.826, unweighted_recall: 0.693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9639, f_measure: 0.7379, kappa: 0.7094, kb_relative_information_score: 0.7467, mean_absolute_error: 0.0719, mean_prior_absolute_error: 0.18, weighted_recall: 0.7385, number_of_instances: 2000, precision: 0.7414, predictive_accuracy: 0.7385, prior_entropy: 3.3219, relative_absolute_error: 0.3996, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1821, root_relative_squared_error: 0.607, unweighted_recall: 0.7385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9669, f_measure: 0.7415, kappa: 0.7144, kb_relative_information_score: 0.7786, mean_absolute_error: 0.0609, mean_prior_absolute_error: 0.18, weighted_recall: 0.743, number_of_instances: 2000, precision: 0.7435, predictive_accuracy: 0.743, prior_entropy: 3.3219, relative_absolute_error: 0.3381, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1774, root_relative_squared_error: 0.5912, unweighted_recall: 0.743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9569, f_measure: 0.6814, kappa: 0.6461, kb_relative_information_score: 0.7061, mean_absolute_error: 0.0632, mean_prior_absolute_error: 0.18, weighted_recall: 0.6815, number_of_instances: 2000, precision: 0.6816, predictive_accuracy: 0.6815, prior_entropy: 3.3219, relative_absolute_error: 0.3511, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2234, root_relative_squared_error: 0.7447, unweighted_recall: 0.6815,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9097, f_measure: 0.7043, kappa: 0.6722, kb_relative_information_score: 0.7018, mean_absolute_error: 0.0719, mean_prior_absolute_error: 0.18, weighted_recall: 0.705, number_of_instances: 2000, precision: 0.7047, predictive_accuracy: 0.705, prior_entropy: 3.3219, relative_absolute_error: 0.3996, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2168, root_relative_squared_error: 0.7226, unweighted_recall: 0.705,

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

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Download this task directly in your environment and automatically upload your results

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

OpenML APIs