Task
Supervised Classification on nomao

Supervised Classification on nomao

Task 9977 Supervised Classification nomao 32751 runs submitted
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  • OpenML-CC18 OpenML100 study_123 study_14 study_218 study_99
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32751 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9803, f_measure: 0.9448, kappa: 0.8647, kb_relative_information_score: 0.8161, mean_absolute_error: 0.0743, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9449, number_of_instances: 34465, precision: 0.9448, predictive_accuracy: 0.9449, prior_entropy: 0.863, relative_absolute_error: 0.1822, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2022, root_relative_squared_error: 0.4477, unweighted_recall: 0.9315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9748, f_measure: 0.9495, kappa: 0.8764, kb_relative_information_score: 0.8372, mean_absolute_error: 0.0648, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9494, number_of_instances: 34465, precision: 0.9496, predictive_accuracy: 0.9494, prior_entropy: 0.863, relative_absolute_error: 0.1588, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1985, root_relative_squared_error: 0.4395, unweighted_recall: 0.9399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8348, f_measure: 0.855, kappa: 0.6497, kb_relative_information_score: 0.4488, mean_absolute_error: 0.2344, mean_prior_absolute_error: 0.4081, weighted_recall: 0.8532, number_of_instances: 34465, precision: 0.8581, predictive_accuracy: 0.8532, prior_entropy: 0.863, relative_absolute_error: 0.5745, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3429, root_relative_squared_error: 0.7591, unweighted_recall: 0.8336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9353, f_measure: 0.9477, kappa: 0.8717, kb_relative_information_score: 0.861, mean_absolute_error: 0.0523, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9477, number_of_instances: 34465, precision: 0.9476, predictive_accuracy: 0.9477, prior_entropy: 0.863, relative_absolute_error: 0.1282, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2287, root_relative_squared_error: 0.5063, unweighted_recall: 0.9353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8154, f_measure: 0.7809, kappa: 0.438, kb_relative_information_score: 0.4705, mean_absolute_error: 0.1993, mean_prior_absolute_error: 0.4081, weighted_recall: 0.8008, number_of_instances: 34465, precision: 0.7962, predictive_accuracy: 0.8008, prior_entropy: 0.863, relative_absolute_error: 0.4885, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4449, root_relative_squared_error: 0.9849, unweighted_recall: 0.6902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9361, f_measure: 0.9482, kappa: 0.873, kb_relative_information_score: 0.8624, mean_absolute_error: 0.0518, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9482, number_of_instances: 34465, precision: 0.9482, predictive_accuracy: 0.9482, prior_entropy: 0.863, relative_absolute_error: 0.1269, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2275, root_relative_squared_error: 0.5036, unweighted_recall: 0.9361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9364, f_measure: 0.9485, kappa: 0.8737, kb_relative_information_score: 0.8631, mean_absolute_error: 0.0515, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9485, number_of_instances: 34465, precision: 0.9484, predictive_accuracy: 0.9485, prior_entropy: 0.863, relative_absolute_error: 0.1262, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2269, root_relative_squared_error: 0.5023, unweighted_recall: 0.9364,
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,
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: 0.9881, f_measure: 0.9493, kappa: 0.8757, kb_relative_information_score: 0.8251, mean_absolute_error: 0.0723, 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: 0.1771, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1915, root_relative_squared_error: 0.424, unweighted_recall: 0.9369,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.9487, kappa: 0.874, kb_relative_information_score: 0.8186, mean_absolute_error: 0.0755, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9487, number_of_instances: 34465, precision: 0.9486, predictive_accuracy: 0.9487, prior_entropy: 0.863, relative_absolute_error: 0.1851, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1925, root_relative_squared_error: 0.4261, unweighted_recall: 0.9357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.9487, kappa: 0.874, kb_relative_information_score: 0.8186, mean_absolute_error: 0.0755, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9487, number_of_instances: 34465, precision: 0.9486, predictive_accuracy: 0.9487, prior_entropy: 0.863, relative_absolute_error: 0.1851, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1925, root_relative_squared_error: 0.4261, unweighted_recall: 0.9357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.9487, kappa: 0.874, kb_relative_information_score: 0.8186, mean_absolute_error: 0.0755, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9487, number_of_instances: 34465, precision: 0.9486, predictive_accuracy: 0.9487, prior_entropy: 0.863, relative_absolute_error: 0.1851, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1925, root_relative_squared_error: 0.4261, unweighted_recall: 0.9357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.9487, kappa: 0.874, kb_relative_information_score: 0.8186, mean_absolute_error: 0.0755, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9487, number_of_instances: 34465, precision: 0.9486, predictive_accuracy: 0.9487, prior_entropy: 0.863, relative_absolute_error: 0.1851, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1925, root_relative_squared_error: 0.4261, unweighted_recall: 0.9357,
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: 0.9494, 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: 0.9494, 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,

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