OpenML
Supervised Classification on nomao

Supervised Classification on nomao

Task 9977 Supervised Classification nomao 32524 runs submitted
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  • OpenML-CC18 OpenML100 study_123 study_14 study_218 study_99
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32524 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9493, kappa: 0.8757, kb_relative_information_score: 0.8252, mean_absolute_error: 0.0722, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9494, number_of_instances: 34465, precision: 0.9493, predictive_accuracy: 0.9494, prior_entropy: 0.863, relative_absolute_error: 0.1769, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1916, root_relative_squared_error: 0.4241, unweighted_recall: 0.937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9493, kappa: 0.8757, kb_relative_information_score: 0.8249, mean_absolute_error: 0.0724, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9494, number_of_instances: 34465, precision: 0.9493, predictive_accuracy: 0.9494, prior_entropy: 0.863, relative_absolute_error: 0.1773, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1916, root_relative_squared_error: 0.4241, unweighted_recall: 0.937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9493, kappa: 0.8757, kb_relative_information_score: 0.8234, mean_absolute_error: 0.0731, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9494, number_of_instances: 34465, precision: 0.9493, predictive_accuracy: 0.9494, prior_entropy: 0.863, relative_absolute_error: 0.1792, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1917, root_relative_squared_error: 0.4245, unweighted_recall: 0.9369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, f_measure: 0.9482, kappa: 0.8728, kb_relative_information_score: 0.8161, mean_absolute_error: 0.0768, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9482, number_of_instances: 34465, precision: 0.9481, predictive_accuracy: 0.9482, prior_entropy: 0.863, relative_absolute_error: 0.1882, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.193, root_relative_squared_error: 0.4272, unweighted_recall: 0.9351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9493, kappa: 0.8757, kb_relative_information_score: 0.8252, mean_absolute_error: 0.0722, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9494, number_of_instances: 34465, precision: 0.9493, predictive_accuracy: 0.9494, prior_entropy: 0.863, relative_absolute_error: 0.1769, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1916, root_relative_squared_error: 0.4241, unweighted_recall: 0.9369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9493, kappa: 0.8757, kb_relative_information_score: 0.8252, mean_absolute_error: 0.0722, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9494, number_of_instances: 34465, precision: 0.9493, predictive_accuracy: 0.9494, prior_entropy: 0.863, relative_absolute_error: 0.1769, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1916, root_relative_squared_error: 0.4241, unweighted_recall: 0.937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9493, kappa: 0.8757, kb_relative_information_score: 0.8249, mean_absolute_error: 0.0724, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9494, number_of_instances: 34465, precision: 0.9493, predictive_accuracy: 0.9494, prior_entropy: 0.863, relative_absolute_error: 0.1773, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1916, root_relative_squared_error: 0.4241, unweighted_recall: 0.937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9493, kappa: 0.8757, kb_relative_information_score: 0.8234, mean_absolute_error: 0.0731, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9494, number_of_instances: 34465, precision: 0.9493, predictive_accuracy: 0.9494, prior_entropy: 0.863, relative_absolute_error: 0.1792, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1917, root_relative_squared_error: 0.4245, unweighted_recall: 0.9369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.9452, kappa: 0.8652, kb_relative_information_score: 0.7889, mean_absolute_error: 0.0896, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9453, number_of_instances: 34465, precision: 0.9451, predictive_accuracy: 0.9453, prior_entropy: 0.863, relative_absolute_error: 0.2195, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2009, root_relative_squared_error: 0.4448, unweighted_recall: 0.9303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, f_measure: 0.9482, kappa: 0.8728, kb_relative_information_score: 0.8161, mean_absolute_error: 0.0768, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9482, number_of_instances: 34465, precision: 0.9481, predictive_accuracy: 0.9482, prior_entropy: 0.863, relative_absolute_error: 0.1882, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.193, root_relative_squared_error: 0.4272, unweighted_recall: 0.9351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9493, kappa: 0.8757, kb_relative_information_score: 0.8249, mean_absolute_error: 0.0724, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9494, number_of_instances: 34465, precision: 0.9493, predictive_accuracy: 0.9494, prior_entropy: 0.863, relative_absolute_error: 0.1773, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1916, root_relative_squared_error: 0.4241, unweighted_recall: 0.937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9493, kappa: 0.8757, kb_relative_information_score: 0.8249, mean_absolute_error: 0.0724, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9494, number_of_instances: 34465, precision: 0.9493, predictive_accuracy: 0.9494, prior_entropy: 0.863, relative_absolute_error: 0.1773, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1916, root_relative_squared_error: 0.4241, unweighted_recall: 0.937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9494, kappa: 0.8758, kb_relative_information_score: 0.8252, mean_absolute_error: 0.0722, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9494, number_of_instances: 34465, precision: 0.9493, predictive_accuracy: 0.9494, prior_entropy: 0.863, relative_absolute_error: 0.1769, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1915, root_relative_squared_error: 0.424, unweighted_recall: 0.937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9477, kappa: 0.8723, kb_relative_information_score: 0.8322, mean_absolute_error: 0.0673, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9476, number_of_instances: 34465, precision: 0.9479, predictive_accuracy: 0.9476, prior_entropy: 0.863, relative_absolute_error: 0.165, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1976, root_relative_squared_error: 0.4375, unweighted_recall: 0.9385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9477, kappa: 0.8723, kb_relative_information_score: 0.8322, mean_absolute_error: 0.0673, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9476, number_of_instances: 34465, precision: 0.9479, predictive_accuracy: 0.9476, prior_entropy: 0.863, relative_absolute_error: 0.165, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1976, root_relative_squared_error: 0.4375, unweighted_recall: 0.9385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9477, kappa: 0.8723, kb_relative_information_score: 0.8322, mean_absolute_error: 0.0673, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9476, number_of_instances: 34465, precision: 0.9479, predictive_accuracy: 0.9476, prior_entropy: 0.863, relative_absolute_error: 0.165, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1976, root_relative_squared_error: 0.4375, unweighted_recall: 0.9385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9477, kappa: 0.8723, kb_relative_information_score: 0.8322, mean_absolute_error: 0.0673, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9476, number_of_instances: 34465, precision: 0.9479, predictive_accuracy: 0.9476, prior_entropy: 0.863, relative_absolute_error: 0.165, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1976, root_relative_squared_error: 0.4375, unweighted_recall: 0.9385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9477, kappa: 0.8723, kb_relative_information_score: 0.8322, mean_absolute_error: 0.0673, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9476, number_of_instances: 34465, precision: 0.9479, predictive_accuracy: 0.9476, prior_entropy: 0.863, relative_absolute_error: 0.165, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1976, root_relative_squared_error: 0.4375, unweighted_recall: 0.9385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9477, kappa: 0.8723, kb_relative_information_score: 0.8322, mean_absolute_error: 0.0673, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9476, number_of_instances: 34465, precision: 0.9479, predictive_accuracy: 0.9476, prior_entropy: 0.863, relative_absolute_error: 0.165, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1976, root_relative_squared_error: 0.4375, unweighted_recall: 0.9385,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9477, kappa: 0.8723, kb_relative_information_score: 0.8322, mean_absolute_error: 0.0673, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9476, number_of_instances: 34465, precision: 0.9479, predictive_accuracy: 0.9476, prior_entropy: 0.863, relative_absolute_error: 0.165, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1976, root_relative_squared_error: 0.4375, unweighted_recall: 0.9385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9477, kappa: 0.8723, kb_relative_information_score: 0.8322, mean_absolute_error: 0.0673, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9476, number_of_instances: 34465, precision: 0.9479, predictive_accuracy: 0.9476, prior_entropy: 0.863, relative_absolute_error: 0.165, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1976, root_relative_squared_error: 0.4375, unweighted_recall: 0.9385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9477, kappa: 0.8723, kb_relative_information_score: 0.8322, mean_absolute_error: 0.0673, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9476, number_of_instances: 34465, precision: 0.9479, predictive_accuracy: 0.9476, prior_entropy: 0.863, relative_absolute_error: 0.165, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1976, root_relative_squared_error: 0.4375, unweighted_recall: 0.9385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9477, kappa: 0.8723, kb_relative_information_score: 0.8322, mean_absolute_error: 0.0673, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9476, number_of_instances: 34465, precision: 0.9479, predictive_accuracy: 0.9476, prior_entropy: 0.863, relative_absolute_error: 0.165, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1976, root_relative_squared_error: 0.4375, unweighted_recall: 0.9385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9477, kappa: 0.8723, kb_relative_information_score: 0.8322, mean_absolute_error: 0.0673, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9476, number_of_instances: 34465, precision: 0.9479, predictive_accuracy: 0.9476, prior_entropy: 0.863, relative_absolute_error: 0.165, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1976, root_relative_squared_error: 0.4375, unweighted_recall: 0.9385,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9477, kappa: 0.8723, kb_relative_information_score: 0.8322, mean_absolute_error: 0.0673, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9476, number_of_instances: 34465, precision: 0.9479, predictive_accuracy: 0.9476, prior_entropy: 0.863, relative_absolute_error: 0.165, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1976, root_relative_squared_error: 0.4375, unweighted_recall: 0.9385,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.949, kappa: 0.875, kb_relative_information_score: 0.8246, mean_absolute_error: 0.0725, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9491, number_of_instances: 34465, precision: 0.949, predictive_accuracy: 0.9491, prior_entropy: 0.863, relative_absolute_error: 0.1776, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1919, root_relative_squared_error: 0.4247, unweighted_recall: 0.9364,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.945, kappa: 0.8648, kb_relative_information_score: 0.7882, mean_absolute_error: 0.0899, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9451, number_of_instances: 34465, precision: 0.9449, predictive_accuracy: 0.9451, prior_entropy: 0.863, relative_absolute_error: 0.2203, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.201, root_relative_squared_error: 0.4451, unweighted_recall: 0.9301,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9494, kappa: 0.8759, kb_relative_information_score: 0.8252, mean_absolute_error: 0.0722, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9495, number_of_instances: 34465, precision: 0.9494, predictive_accuracy: 0.9495, prior_entropy: 0.863, relative_absolute_error: 0.1769, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1916, root_relative_squared_error: 0.4241, unweighted_recall: 0.937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9494, kappa: 0.8759, kb_relative_information_score: 0.8252, mean_absolute_error: 0.0722, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9495, number_of_instances: 34465, precision: 0.9494, predictive_accuracy: 0.9495, prior_entropy: 0.863, relative_absolute_error: 0.1769, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1916, root_relative_squared_error: 0.4241, unweighted_recall: 0.937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9492, kappa: 0.8754, kb_relative_information_score: 0.8234, mean_absolute_error: 0.0731, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9493, number_of_instances: 34465, precision: 0.9491, predictive_accuracy: 0.9493, prior_entropy: 0.863, relative_absolute_error: 0.1791, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1917, root_relative_squared_error: 0.4245, unweighted_recall: 0.9367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9492, kappa: 0.8754, kb_relative_information_score: 0.8234, mean_absolute_error: 0.0731, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9493, number_of_instances: 34465, precision: 0.9491, predictive_accuracy: 0.9493, prior_entropy: 0.863, relative_absolute_error: 0.1791, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1917, root_relative_squared_error: 0.4245, unweighted_recall: 0.9367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9492, kappa: 0.8754, kb_relative_information_score: 0.8234, mean_absolute_error: 0.0731, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9493, number_of_instances: 34465, precision: 0.9491, predictive_accuracy: 0.9493, prior_entropy: 0.863, relative_absolute_error: 0.1791, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1917, root_relative_squared_error: 0.4245, unweighted_recall: 0.9367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9492, kappa: 0.8754, kb_relative_information_score: 0.8234, mean_absolute_error: 0.0731, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9493, number_of_instances: 34465, precision: 0.9491, predictive_accuracy: 0.9493, prior_entropy: 0.863, relative_absolute_error: 0.1791, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1917, root_relative_squared_error: 0.4245, unweighted_recall: 0.9367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9492, kappa: 0.8754, kb_relative_information_score: 0.8234, mean_absolute_error: 0.0731, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9493, number_of_instances: 34465, precision: 0.9491, predictive_accuracy: 0.9493, prior_entropy: 0.863, relative_absolute_error: 0.1791, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1917, root_relative_squared_error: 0.4245, unweighted_recall: 0.9367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9492, kappa: 0.8754, kb_relative_information_score: 0.8234, mean_absolute_error: 0.0731, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9493, number_of_instances: 34465, precision: 0.9491, predictive_accuracy: 0.9493, prior_entropy: 0.863, relative_absolute_error: 0.1791, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1917, root_relative_squared_error: 0.4245, unweighted_recall: 0.9367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9492, kappa: 0.8754, kb_relative_information_score: 0.8234, mean_absolute_error: 0.0731, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9493, number_of_instances: 34465, precision: 0.9491, predictive_accuracy: 0.9493, prior_entropy: 0.863, relative_absolute_error: 0.1791, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1917, root_relative_squared_error: 0.4245, unweighted_recall: 0.9367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9492, kappa: 0.8754, kb_relative_information_score: 0.8234, mean_absolute_error: 0.0731, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9493, number_of_instances: 34465, precision: 0.9491, predictive_accuracy: 0.9493, prior_entropy: 0.863, relative_absolute_error: 0.1791, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1917, root_relative_squared_error: 0.4245, unweighted_recall: 0.9367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9492, kappa: 0.8754, kb_relative_information_score: 0.8234, mean_absolute_error: 0.0731, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9493, number_of_instances: 34465, precision: 0.9491, predictive_accuracy: 0.9493, prior_entropy: 0.863, relative_absolute_error: 0.1791, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1917, root_relative_squared_error: 0.4245, unweighted_recall: 0.9367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9492, kappa: 0.8754, kb_relative_information_score: 0.8234, mean_absolute_error: 0.0731, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9493, number_of_instances: 34465, precision: 0.9491, predictive_accuracy: 0.9493, prior_entropy: 0.863, relative_absolute_error: 0.1791, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1917, root_relative_squared_error: 0.4245, unweighted_recall: 0.9367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, f_measure: 0.9456, kappa: 0.8663, kb_relative_information_score: 0.8318, mean_absolute_error: 0.067, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9457, number_of_instances: 34465, precision: 0.9455, predictive_accuracy: 0.9457, prior_entropy: 0.863, relative_absolute_error: 0.1641, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2047, root_relative_squared_error: 0.4532, unweighted_recall: 0.9308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, f_measure: 0.9456, kappa: 0.8663, kb_relative_information_score: 0.8318, mean_absolute_error: 0.067, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9457, number_of_instances: 34465, precision: 0.9455, predictive_accuracy: 0.9457, prior_entropy: 0.863, relative_absolute_error: 0.1641, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2047, root_relative_squared_error: 0.4532, unweighted_recall: 0.9308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, f_measure: 0.9456, kappa: 0.8663, kb_relative_information_score: 0.8318, mean_absolute_error: 0.067, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9457, number_of_instances: 34465, precision: 0.9455, predictive_accuracy: 0.9457, prior_entropy: 0.863, relative_absolute_error: 0.1641, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2047, root_relative_squared_error: 0.4532, unweighted_recall: 0.9308,

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

OpenML bootcamp

From your own software

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

OpenML APIs