Task
Supervised Classification on mfeat-morphological

Supervised Classification on mfeat-morphological

Task 18 Supervised Classification mfeat-morphological 21770 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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21770 Runs

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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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9102, f_measure: 0.7015, kappa: 0.6689, kb_relative_information_score: 0.6997, mean_absolute_error: 0.0722, mean_prior_absolute_error: 0.18, weighted_recall: 0.702, number_of_instances: 2000, precision: 0.7018, predictive_accuracy: 0.702, prior_entropy: 3.3219, relative_absolute_error: 0.4012, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2174, root_relative_squared_error: 0.7246, unweighted_recall: 0.702,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.959, f_measure: 0.7087, kappa: 0.6767, kb_relative_information_score: 0.7475, mean_absolute_error: 0.0635, mean_prior_absolute_error: 0.18, weighted_recall: 0.709, number_of_instances: 2000, precision: 0.7104, predictive_accuracy: 0.709, prior_entropy: 3.3219, relative_absolute_error: 0.353, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1941, root_relative_squared_error: 0.6469, unweighted_recall: 0.709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7247, kappa: 0.1356, kb_relative_information_score: 0.1827, mean_absolute_error: 0.1682, mean_prior_absolute_error: 0.18, weighted_recall: 0.222, number_of_instances: 2000, predictive_accuracy: 0.222, 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: 0.222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9544, f_measure: 0.7006, kappa: 0.6683, kb_relative_information_score: 0.7264, mean_absolute_error: 0.0691, mean_prior_absolute_error: 0.18, weighted_recall: 0.7015, number_of_instances: 2000, precision: 0.7007, predictive_accuracy: 0.7015, prior_entropy: 3.3219, relative_absolute_error: 0.3841, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2017, root_relative_squared_error: 0.6723, unweighted_recall: 0.7015,
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: 0.8152, f_measure: 0.6536, kappa: 0.6156, kb_relative_information_score: 0.6466, mean_absolute_error: 0.0691, mean_prior_absolute_error: 0.18, weighted_recall: 0.654, number_of_instances: 2000, precision: 0.6543, predictive_accuracy: 0.654, prior_entropy: 3.3219, relative_absolute_error: 0.3837, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2593, root_relative_squared_error: 0.8644, unweighted_recall: 0.654,
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: 0.8425, f_measure: 0.7163, 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: 0.7201, 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: 0.9639, 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: 0.9658, f_measure: 0.7288, kappa: 0.7006, kb_relative_information_score: 0.7765, mean_absolute_error: 0.0614, mean_prior_absolute_error: 0.18, weighted_recall: 0.7305, number_of_instances: 2000, precision: 0.7301, predictive_accuracy: 0.7305, prior_entropy: 3.3219, relative_absolute_error: 0.3409, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1782, root_relative_squared_error: 0.594, unweighted_recall: 0.7305,
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: 0.9102, f_measure: 0.7015, kappa: 0.6689, kb_relative_information_score: 0.6997, mean_absolute_error: 0.0722, mean_prior_absolute_error: 0.18, weighted_recall: 0.702, number_of_instances: 2000, precision: 0.7018, predictive_accuracy: 0.702, prior_entropy: 3.3219, relative_absolute_error: 0.4012, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2174, root_relative_squared_error: 0.7246, unweighted_recall: 0.702,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.959, f_measure: 0.7087, kappa: 0.6767, kb_relative_information_score: 0.7475, mean_absolute_error: 0.0635, mean_prior_absolute_error: 0.18, weighted_recall: 0.709, number_of_instances: 2000, precision: 0.7104, predictive_accuracy: 0.709, prior_entropy: 3.3219, relative_absolute_error: 0.353, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1941, root_relative_squared_error: 0.6469, unweighted_recall: 0.709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7247, kappa: 0.1356, kb_relative_information_score: 0.1827, mean_absolute_error: 0.1682, mean_prior_absolute_error: 0.18, weighted_recall: 0.222, number_of_instances: 2000, predictive_accuracy: 0.222, 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: 0.222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9544, f_measure: 0.7006, kappa: 0.6683, kb_relative_information_score: 0.7264, mean_absolute_error: 0.0691, mean_prior_absolute_error: 0.18, weighted_recall: 0.7015, number_of_instances: 2000, precision: 0.7007, predictive_accuracy: 0.7015, prior_entropy: 3.3219, relative_absolute_error: 0.3841, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2017, root_relative_squared_error: 0.6723, unweighted_recall: 0.7015,
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: 0.8152, f_measure: 0.6536, kappa: 0.6156, kb_relative_information_score: 0.6466, mean_absolute_error: 0.0691, mean_prior_absolute_error: 0.18, weighted_recall: 0.654, number_of_instances: 2000, precision: 0.6543, predictive_accuracy: 0.654, prior_entropy: 3.3219, relative_absolute_error: 0.3837, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2593, root_relative_squared_error: 0.8644, unweighted_recall: 0.654,
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: 0.8425, f_measure: 0.7163, 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: 0.7201, 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: 0.9639, 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: 0.9658, f_measure: 0.7288, kappa: 0.7006, kb_relative_information_score: 0.7765, mean_absolute_error: 0.0614, mean_prior_absolute_error: 0.18, weighted_recall: 0.7305, number_of_instances: 2000, precision: 0.7301, predictive_accuracy: 0.7305, prior_entropy: 3.3219, relative_absolute_error: 0.3409, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1782, root_relative_squared_error: 0.594, unweighted_recall: 0.7305,
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: 0.9102, f_measure: 0.7015, kappa: 0.6689, kb_relative_information_score: 0.6997, mean_absolute_error: 0.0722, mean_prior_absolute_error: 0.18, weighted_recall: 0.702, number_of_instances: 2000, precision: 0.7018, predictive_accuracy: 0.702, prior_entropy: 3.3219, relative_absolute_error: 0.4012, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2174, root_relative_squared_error: 0.7246, unweighted_recall: 0.702,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.959, f_measure: 0.7087, kappa: 0.6767, kb_relative_information_score: 0.7475, mean_absolute_error: 0.0635, mean_prior_absolute_error: 0.18, weighted_recall: 0.709, number_of_instances: 2000, precision: 0.7104, predictive_accuracy: 0.709, prior_entropy: 3.3219, relative_absolute_error: 0.353, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1941, root_relative_squared_error: 0.6469, unweighted_recall: 0.709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7247, kappa: 0.1356, kb_relative_information_score: 0.1827, mean_absolute_error: 0.1682, mean_prior_absolute_error: 0.18, weighted_recall: 0.222, number_of_instances: 2000, predictive_accuracy: 0.222, 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: 0.222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9544, f_measure: 0.7006, kappa: 0.6683, kb_relative_information_score: 0.7264, mean_absolute_error: 0.0691, mean_prior_absolute_error: 0.18, weighted_recall: 0.7015, number_of_instances: 2000, precision: 0.7007, predictive_accuracy: 0.7015, prior_entropy: 3.3219, relative_absolute_error: 0.3841, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2017, root_relative_squared_error: 0.6723, unweighted_recall: 0.7015,
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: 0.8152, f_measure: 0.6536, kappa: 0.6156, kb_relative_information_score: 0.6466, mean_absolute_error: 0.0691, mean_prior_absolute_error: 0.18, weighted_recall: 0.654, number_of_instances: 2000, precision: 0.6543, predictive_accuracy: 0.654, prior_entropy: 3.3219, relative_absolute_error: 0.3837, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2593, root_relative_squared_error: 0.8644, unweighted_recall: 0.654,
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: 0.8425, f_measure: 0.7163, 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: 0.7201, 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: 0.9639, 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: 0.9419, 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: 0.8303, f_measure: 0.694, kappa: 0.6606, kb_relative_information_score: 0.6805, mean_absolute_error: 0.0611, mean_prior_absolute_error: 0.18, weighted_recall: 0.6945, number_of_instances: 2000, precision: 0.7071, predictive_accuracy: 0.6945, prior_entropy: 3.3219, relative_absolute_error: 0.3394, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2472, root_relative_squared_error: 0.8239, unweighted_recall: 0.6945,
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: 0.9102, f_measure: 0.7068, kappa: 0.6756, kb_relative_information_score: 0.7, mean_absolute_error: 0.0722, mean_prior_absolute_error: 0.18, weighted_recall: 0.708, number_of_instances: 2000, precision: 0.707, predictive_accuracy: 0.708, prior_entropy: 3.3219, relative_absolute_error: 0.4009, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2173, root_relative_squared_error: 0.7242, unweighted_recall: 0.708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.959, f_measure: 0.7095, kappa: 0.6778, kb_relative_information_score: 0.7479, mean_absolute_error: 0.0635, mean_prior_absolute_error: 0.18, weighted_recall: 0.71, number_of_instances: 2000, precision: 0.7111, predictive_accuracy: 0.71, prior_entropy: 3.3219, relative_absolute_error: 0.3526, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1939, root_relative_squared_error: 0.6465, unweighted_recall: 0.71,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7247, kappa: 0.1356, kb_relative_information_score: 0.1827, mean_absolute_error: 0.1682, mean_prior_absolute_error: 0.18, weighted_recall: 0.222, number_of_instances: 2000, predictive_accuracy: 0.222, 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: 0.222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9551, f_measure: 0.7061, kappa: 0.6744, kb_relative_information_score: 0.729, mean_absolute_error: 0.0688, mean_prior_absolute_error: 0.18, weighted_recall: 0.707, number_of_instances: 2000, precision: 0.7063, predictive_accuracy: 0.707, prior_entropy: 3.3219, relative_absolute_error: 0.3823, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2009, root_relative_squared_error: 0.6695, unweighted_recall: 0.707,
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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,
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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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9097, f_measure: 0.7031, kappa: 0.6711, kb_relative_information_score: 0.7001, mean_absolute_error: 0.0721, mean_prior_absolute_error: 0.18, weighted_recall: 0.704, number_of_instances: 2000, precision: 0.7034, predictive_accuracy: 0.704, prior_entropy: 3.3219, relative_absolute_error: 0.4005, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2171, root_relative_squared_error: 0.7236, unweighted_recall: 0.704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.959, f_measure: 0.7096, kappa: 0.6778, kb_relative_information_score: 0.7477, mean_absolute_error: 0.0635, mean_prior_absolute_error: 0.18, weighted_recall: 0.71, number_of_instances: 2000, precision: 0.7113, predictive_accuracy: 0.71, prior_entropy: 3.3219, relative_absolute_error: 0.3527, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.194, root_relative_squared_error: 0.6467, unweighted_recall: 0.71,
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: 0.9546, f_measure: 0.6972, kappa: 0.6644, kb_relative_information_score: 0.7271, mean_absolute_error: 0.0691, mean_prior_absolute_error: 0.18, weighted_recall: 0.698, number_of_instances: 2000, precision: 0.6973, predictive_accuracy: 0.698, prior_entropy: 3.3219, relative_absolute_error: 0.3838, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2016, root_relative_squared_error: 0.672, unweighted_recall: 0.698,
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: 0.8139, f_measure: 0.6533, kappa: 0.6144, kb_relative_information_score: 0.644, mean_absolute_error: 0.0697, mean_prior_absolute_error: 0.18, weighted_recall: 0.653, number_of_instances: 2000, precision: 0.6549, predictive_accuracy: 0.653, prior_entropy: 3.3219, relative_absolute_error: 0.3869, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2603, root_relative_squared_error: 0.8677, 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: 0.8186, f_measure: 0.668, kappa: 0.6372, kb_relative_information_score: 0.6586, mean_absolute_error: 0.0653, mean_prior_absolute_error: 0.18, weighted_recall: 0.6735, number_of_instances: 2000, precision: 0.6867, predictive_accuracy: 0.6735, prior_entropy: 3.3219, relative_absolute_error: 0.3628, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2555, root_relative_squared_error: 0.8518, unweighted_recall: 0.6735,
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: 0.9652, f_measure: 0.7314, kappa: 0.7039, kb_relative_information_score: 0.7755, mean_absolute_error: 0.0616, mean_prior_absolute_error: 0.18, weighted_recall: 0.7335, number_of_instances: 2000, precision: 0.7326, predictive_accuracy: 0.7335, prior_entropy: 3.3219, relative_absolute_error: 0.3423, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1786, root_relative_squared_error: 0.5952, unweighted_recall: 0.7335,
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: 0.7031, kappa: 0.6711, kb_relative_information_score: 0.7001, mean_absolute_error: 0.0721, mean_prior_absolute_error: 0.18, weighted_recall: 0.704, number_of_instances: 2000, precision: 0.7034, predictive_accuracy: 0.704, prior_entropy: 3.3219, relative_absolute_error: 0.4005, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2171, root_relative_squared_error: 0.7236, unweighted_recall: 0.704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.959, f_measure: 0.7096, kappa: 0.6778, kb_relative_information_score: 0.7477, mean_absolute_error: 0.0635, mean_prior_absolute_error: 0.18, weighted_recall: 0.71, number_of_instances: 2000, precision: 0.7113, predictive_accuracy: 0.71, prior_entropy: 3.3219, relative_absolute_error: 0.3527, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.194, root_relative_squared_error: 0.6467, unweighted_recall: 0.71,

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