OpenML
Supervised Classification on diabetes

Supervised Classification on diabetes

Task 37 Supervised Classification diabetes 131682 runs submitted
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  • at2 basic mythbusting mythbusting_1 OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_29 study_30 study_41 study_7 study_70 study_73 study_98 study_99 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6831, f_measure: 0.7236, kappa: 0.3816, kb_relative_information_score: 0.3827, mean_absolute_error: 0.2695, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7225, predictive_accuracy: 0.7305, prior_entropy: 0.9331, recall: 0.7305, relative_absolute_error: 0.593, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5192, root_relative_squared_error: 1.0892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2007, mean_absolute_error: 0.349, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9331, recall: 0.651, relative_absolute_error: 0.7678, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5907, root_relative_squared_error: 1.2394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2007, mean_absolute_error: 0.349, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9331, recall: 0.651, relative_absolute_error: 0.7678, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5907, root_relative_squared_error: 1.2394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6412, f_measure: 0.6759, kappa: 0.2844, kb_relative_information_score: 0.2604, mean_absolute_error: 0.3229, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6749, predictive_accuracy: 0.6771, prior_entropy: 0.9331, recall: 0.6771, relative_absolute_error: 0.7105, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5683, root_relative_squared_error: 1.1922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5063, f_measure: 0.5377, kappa: 0.0157, kb_relative_information_score: 0.1858, mean_absolute_error: 0.3555, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.5721, predictive_accuracy: 0.6445, prior_entropy: 0.9331, recall: 0.6445, relative_absolute_error: 0.7821, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5962, root_relative_squared_error: 1.2509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2007, mean_absolute_error: 0.349, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9331, recall: 0.651, relative_absolute_error: 0.7678, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5907, root_relative_squared_error: 1.2394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5063, f_measure: 0.5377, kappa: 0.0157, kb_relative_information_score: 0.1858, mean_absolute_error: 0.3555, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.5721, predictive_accuracy: 0.6445, prior_entropy: 0.9331, recall: 0.6445, relative_absolute_error: 0.7821, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5962, root_relative_squared_error: 1.2509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2007, mean_absolute_error: 0.349, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9331, recall: 0.651, relative_absolute_error: 0.7678, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5907, root_relative_squared_error: 1.2394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6589, f_measure: 0.6892, kappa: 0.3169, kb_relative_information_score: 0.2872, mean_absolute_error: 0.3112, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6896, predictive_accuracy: 0.6888, prior_entropy: 0.9331, recall: 0.6888, relative_absolute_error: 0.6847, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5579, root_relative_squared_error: 1.1704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2007, mean_absolute_error: 0.349, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9331, recall: 0.651, relative_absolute_error: 0.7678, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5907, root_relative_squared_error: 1.2394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5537, f_measure: 0.6076, kappa: 0.1257, kb_relative_information_score: 0.2216, mean_absolute_error: 0.3398, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6287, predictive_accuracy: 0.6602, prior_entropy: 0.9331, recall: 0.6602, relative_absolute_error: 0.7477, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.583, root_relative_squared_error: 1.2231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6516, f_measure: 0.6899, kappa: 0.3105, kb_relative_information_score: 0.2991, mean_absolute_error: 0.306, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6876, predictive_accuracy: 0.694, prior_entropy: 0.9331, recall: 0.694, relative_absolute_error: 0.6733, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5532, root_relative_squared_error: 1.1605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.528, f_measure: 0.5721, kappa: 0.0684, kb_relative_information_score: 0.2067, mean_absolute_error: 0.3464, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6133, predictive_accuracy: 0.6536, prior_entropy: 0.9331, recall: 0.6536, relative_absolute_error: 0.7621, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5885, root_relative_squared_error: 1.2347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5259, f_measure: 0.5643, kappa: 0.0646, kb_relative_information_score: 0.2186, mean_absolute_error: 0.3411, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6326, predictive_accuracy: 0.6589, prior_entropy: 0.9331, recall: 0.6589, relative_absolute_error: 0.7506, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5841, root_relative_squared_error: 1.2254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5063, f_measure: 0.5377, kappa: 0.0157, kb_relative_information_score: 0.1858, mean_absolute_error: 0.3555, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.5721, predictive_accuracy: 0.6445, prior_entropy: 0.9331, recall: 0.6445, relative_absolute_error: 0.7821, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5962, root_relative_squared_error: 1.2509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3776, f_measure: 0.4355, kappa: -0.2466, kb_relative_information_score: -0.2884, mean_absolute_error: 0.5625, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4335, predictive_accuracy: 0.4375, prior_entropy: 0.9331, recall: 0.4375, relative_absolute_error: 1.2376, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.75, root_relative_squared_error: 1.5735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3776, f_measure: 0.4355, kappa: -0.2466, kb_relative_information_score: -0.2884, mean_absolute_error: 0.5625, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4335, predictive_accuracy: 0.4375, prior_entropy: 0.9331, recall: 0.4375, relative_absolute_error: 1.2376, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.75, root_relative_squared_error: 1.5735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6516, f_measure: 0.6899, kappa: 0.3105, kb_relative_information_score: 0.2991, mean_absolute_error: 0.306, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6876, predictive_accuracy: 0.694, prior_entropy: 0.9331, recall: 0.694, relative_absolute_error: 0.6733, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5532, root_relative_squared_error: 1.1605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3776, f_measure: 0.4355, kappa: -0.2466, kb_relative_information_score: -0.2884, mean_absolute_error: 0.5625, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4335, predictive_accuracy: 0.4375, prior_entropy: 0.9331, recall: 0.4375, relative_absolute_error: 1.2376, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.75, root_relative_squared_error: 1.5735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2007, mean_absolute_error: 0.349, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9331, recall: 0.651, relative_absolute_error: 0.7678, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5907, root_relative_squared_error: 1.2394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2007, mean_absolute_error: 0.349, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9331, recall: 0.651, relative_absolute_error: 0.7678, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5907, root_relative_squared_error: 1.2394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6418, f_measure: 0.6745, kappa: 0.2836, kb_relative_information_score: 0.2544, mean_absolute_error: 0.3255, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6745, predictive_accuracy: 0.6745, prior_entropy: 0.9331, recall: 0.6745, relative_absolute_error: 0.7162, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5705, root_relative_squared_error: 1.197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3776, f_measure: 0.4355, kappa: -0.2466, kb_relative_information_score: -0.2884, mean_absolute_error: 0.5625, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4335, predictive_accuracy: 0.4375, prior_entropy: 0.9331, recall: 0.4375, relative_absolute_error: 1.2376, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.75, root_relative_squared_error: 1.5735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2007, mean_absolute_error: 0.349, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9331, recall: 0.651, relative_absolute_error: 0.7678, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5907, root_relative_squared_error: 1.2394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.528, f_measure: 0.5721, kappa: 0.0684, kb_relative_information_score: 0.2067, mean_absolute_error: 0.3464, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6133, predictive_accuracy: 0.6536, prior_entropy: 0.9331, recall: 0.6536, relative_absolute_error: 0.7621, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5885, root_relative_squared_error: 1.2347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5606, f_measure: 0.608, kappa: 0.1488, kb_relative_information_score: 0.2783, mean_absolute_error: 0.3151, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7016, predictive_accuracy: 0.6849, prior_entropy: 0.9331, recall: 0.6849, relative_absolute_error: 0.6933, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5613, root_relative_squared_error: 1.1777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7219, f_measure: 0.7629, kappa: 0.468, kb_relative_information_score: 0.4751, mean_absolute_error: 0.2292, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7655, predictive_accuracy: 0.7708, prior_entropy: 0.9331, recall: 0.7708, relative_absolute_error: 0.5042, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4787, root_relative_squared_error: 1.0043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2007, mean_absolute_error: 0.349, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9331, recall: 0.651, relative_absolute_error: 0.7678, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5907, root_relative_squared_error: 1.2394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3776, f_measure: 0.4355, kappa: -0.2466, kb_relative_information_score: -0.2884, mean_absolute_error: 0.5625, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4335, predictive_accuracy: 0.4375, prior_entropy: 0.9331, recall: 0.4375, relative_absolute_error: 1.2376, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.75, root_relative_squared_error: 1.5735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6516, f_measure: 0.6899, kappa: 0.3105, kb_relative_information_score: 0.2991, mean_absolute_error: 0.306, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6876, predictive_accuracy: 0.694, prior_entropy: 0.9331, recall: 0.694, relative_absolute_error: 0.6733, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5532, root_relative_squared_error: 1.1605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5537, f_measure: 0.6076, kappa: 0.1257, kb_relative_information_score: 0.2216, mean_absolute_error: 0.3398, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6287, predictive_accuracy: 0.6602, prior_entropy: 0.9331, recall: 0.6602, relative_absolute_error: 0.7477, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.583, root_relative_squared_error: 1.2231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.652, f_measure: 0.6819, kappa: 0.3021, kb_relative_information_score: 0.2693, mean_absolute_error: 0.319, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.683, predictive_accuracy: 0.681, prior_entropy: 0.9331, recall: 0.681, relative_absolute_error: 0.7019, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5648, root_relative_squared_error: 1.185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6611, f_measure: 0.7073, kappa: 0.3423, kb_relative_information_score: 0.3558, mean_absolute_error: 0.2813, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7081, predictive_accuracy: 0.7188, prior_entropy: 0.9331, recall: 0.7188, relative_absolute_error: 0.6188, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5303, root_relative_squared_error: 1.1126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6412, f_measure: 0.6759, kappa: 0.2844, kb_relative_information_score: 0.2604, mean_absolute_error: 0.3229, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6749, predictive_accuracy: 0.6771, prior_entropy: 0.9331, recall: 0.6771, relative_absolute_error: 0.7105, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5683, root_relative_squared_error: 1.1922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2007, mean_absolute_error: 0.349, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9331, recall: 0.651, relative_absolute_error: 0.7678, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5907, root_relative_squared_error: 1.2394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2007, mean_absolute_error: 0.349, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9331, recall: 0.651, relative_absolute_error: 0.7678, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5907, root_relative_squared_error: 1.2394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2007, mean_absolute_error: 0.349, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9331, recall: 0.651, relative_absolute_error: 0.7678, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5907, root_relative_squared_error: 1.2394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6831, f_measure: 0.7236, kappa: 0.3816, kb_relative_information_score: 0.3827, mean_absolute_error: 0.2695, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7225, predictive_accuracy: 0.7305, prior_entropy: 0.9331, recall: 0.7305, relative_absolute_error: 0.593, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5192, root_relative_squared_error: 1.0892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6379, f_measure: 0.6707, kappa: 0.2756, kb_relative_information_score: 0.2455, mean_absolute_error: 0.3294, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6709, predictive_accuracy: 0.6706, prior_entropy: 0.9331, recall: 0.6706, relative_absolute_error: 0.7248, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.574, root_relative_squared_error: 1.2042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2007, mean_absolute_error: 0.349, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9331, recall: 0.651, relative_absolute_error: 0.7678, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5907, root_relative_squared_error: 1.2394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7268, f_measure: 0.763, kappa: 0.4707, kb_relative_information_score: 0.4691, mean_absolute_error: 0.2318, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7629, predictive_accuracy: 0.7682, prior_entropy: 0.9331, recall: 0.7682, relative_absolute_error: 0.51, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4814, root_relative_squared_error: 1.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2007, mean_absolute_error: 0.349, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9331, recall: 0.651, relative_absolute_error: 0.7678, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5907, root_relative_squared_error: 1.2394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3645, f_measure: 0.4269, kappa: -0.2853, kb_relative_information_score: -0.2705, mean_absolute_error: 0.5547, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4119, predictive_accuracy: 0.4453, prior_entropy: 0.9331, recall: 0.4453, relative_absolute_error: 1.2205, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.7448, root_relative_squared_error: 1.5625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2007, mean_absolute_error: 0.349, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9331, recall: 0.651, relative_absolute_error: 0.7678, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5907, root_relative_squared_error: 1.2394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2007, mean_absolute_error: 0.349, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9331, recall: 0.651, relative_absolute_error: 0.7678, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5907, root_relative_squared_error: 1.2394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2007, mean_absolute_error: 0.349, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9331, recall: 0.651, relative_absolute_error: 0.7678, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5907, root_relative_squared_error: 1.2394,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4929, f_measure: 0.5107, kappa: -0.0184, kb_relative_information_score: 0.1769, mean_absolute_error: 0.3594, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4566, predictive_accuracy: 0.6406, prior_entropy: 0.9331, recall: 0.6406, relative_absolute_error: 0.7907, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5995, root_relative_squared_error: 1.2577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2007, mean_absolute_error: 0.349, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9331, recall: 0.651, relative_absolute_error: 0.7678, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5907, root_relative_squared_error: 1.2394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.498, f_measure: 0.5122, kappa: -0.0052, kb_relative_information_score: 0.1948, mean_absolute_error: 0.3516, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4233, predictive_accuracy: 0.6484, prior_entropy: 0.9331, recall: 0.6484, relative_absolute_error: 0.7735, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5929, root_relative_squared_error: 1.244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2007, mean_absolute_error: 0.349, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9331, recall: 0.651, relative_absolute_error: 0.7678, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5907, root_relative_squared_error: 1.2394,

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