Task
Supervised Classification on profb

Supervised Classification on profb

Task 3561 Supervised Classification profb 13173 runs submitted
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  • mythbusting_1 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_41 under100k under1m
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13173 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5904, f_measure: 0.6507, kappa: 0.1942, kb_relative_information_score: 142.8743, mean_absolute_error: 0.3333, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6464, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.7497, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5774, root_relative_squared_error: 1.2247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 142.8743, mean_absolute_error: 0.3333, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.7497, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5774, root_relative_squared_error: 1.2247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6685, f_measure: 0.723, kappa: 0.3612, kb_relative_information_score: 251.46, mean_absolute_error: 0.2649, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.7239, predictive_accuracy: 0.7351, prior_entropy: 0.9188, recall: 0.7351, relative_absolute_error: 0.5958, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5147, root_relative_squared_error: 1.0918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 142.8743, mean_absolute_error: 0.3333, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.7497, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5774, root_relative_squared_error: 1.2247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5212, f_measure: 0.5714, kappa: 0.0547, kb_relative_information_score: 154.6771, mean_absolute_error: 0.3259, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6538, predictive_accuracy: 0.6741, prior_entropy: 0.9188, recall: 0.6741, relative_absolute_error: 0.733, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5709, root_relative_squared_error: 1.211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, f_measure: 0.5339, kappa: -0.0059, kb_relative_information_score: 135.7926, mean_absolute_error: 0.3378, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5104, predictive_accuracy: 0.6622, prior_entropy: 0.9188, recall: 0.6622, relative_absolute_error: 0.7598, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5812, root_relative_squared_error: 1.2329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5491, f_measure: 0.6033, kappa: 0.1, kb_relative_information_score: 48.452, mean_absolute_error: 0.3929, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6001, predictive_accuracy: 0.6071, prior_entropy: 0.9188, recall: 0.6071, relative_absolute_error: 0.8836, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.6268, root_relative_squared_error: 1.3296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6819, f_measure: 0.725, kappa: 0.3739, kb_relative_information_score: 242.0178, mean_absolute_error: 0.2708, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.7229, predictive_accuracy: 0.7292, prior_entropy: 0.9188, recall: 0.7292, relative_absolute_error: 0.6091, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5204, root_relative_squared_error: 1.104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6306, f_measure: 0.6923, kappa: 0.2878, kb_relative_information_score: 216.0516, mean_absolute_error: 0.2872, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6967, predictive_accuracy: 0.7128, prior_entropy: 0.9188, recall: 0.7128, relative_absolute_error: 0.646, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5359, root_relative_squared_error: 1.1368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5971, f_measure: 0.6563, kappa: 0.2079, kb_relative_information_score: 149.956, mean_absolute_error: 0.3289, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6523, predictive_accuracy: 0.6711, prior_entropy: 0.9188, recall: 0.6711, relative_absolute_error: 0.7397, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5735, root_relative_squared_error: 1.2165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4185, f_measure: 0.4845, kappa: -0.1642, kb_relative_information_score: -142.7533, mean_absolute_error: 0.5134, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.4825, predictive_accuracy: 0.4866, prior_entropy: 0.9188, recall: 0.4866, relative_absolute_error: 1.1547, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.7165, root_relative_squared_error: 1.52,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7065, f_measure: 0.7394, kappa: 0.4134, kb_relative_information_score: 258.5417, mean_absolute_error: 0.2604, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.7393, predictive_accuracy: 0.7396, prior_entropy: 0.9188, recall: 0.7396, relative_absolute_error: 0.5857, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5103, root_relative_squared_error: 1.0825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 142.8743, mean_absolute_error: 0.3333, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.7497, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5774, root_relative_squared_error: 1.2247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 142.8743, mean_absolute_error: 0.3333, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.7497, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5774, root_relative_squared_error: 1.2247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5982, f_measure: 0.6576, kappa: 0.2105, kb_relative_information_score: 152.3165, mean_absolute_error: 0.3274, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6537, predictive_accuracy: 0.6726, prior_entropy: 0.9188, recall: 0.6726, relative_absolute_error: 0.7363, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5722, root_relative_squared_error: 1.2138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 142.8743, mean_absolute_error: 0.3333, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.7497, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5774, root_relative_squared_error: 1.2247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7199, f_measure: 0.7556, kappa: 0.4462, kb_relative_information_score: 286.8684, mean_absolute_error: 0.2426, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.7543, predictive_accuracy: 0.7574, prior_entropy: 0.9188, recall: 0.7574, relative_absolute_error: 0.5456, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4925, root_relative_squared_error: 1.0448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 142.8743, mean_absolute_error: 0.3333, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.7497, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5774, root_relative_squared_error: 1.2247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 142.8743, mean_absolute_error: 0.3333, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.7497, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5774, root_relative_squared_error: 1.2247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 142.8743, mean_absolute_error: 0.3333, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.7497, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5774, root_relative_squared_error: 1.2247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7132, f_measure: 0.7545, kappa: 0.4401, kb_relative_information_score: 289.2289, mean_absolute_error: 0.2411, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.753, predictive_accuracy: 0.7589, prior_entropy: 0.9188, recall: 0.7589, relative_absolute_error: 0.5422, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.491, root_relative_squared_error: 1.0415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.519, f_measure: 0.5742, kappa: 0.0382, kb_relative_information_score: -1.1198, mean_absolute_error: 0.4241, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5726, predictive_accuracy: 0.5759, prior_entropy: 0.9188, recall: 0.5759, relative_absolute_error: 0.9539, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.6512, root_relative_squared_error: 1.3815,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6641, f_measure: 0.7121, kappa: 0.3415, kb_relative_information_score: 225.4939, mean_absolute_error: 0.2813, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.7096, predictive_accuracy: 0.7188, prior_entropy: 0.9188, recall: 0.7188, relative_absolute_error: 0.6326, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5303, root_relative_squared_error: 1.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6038, f_measure: 0.6681, kappa: 0.2313, kb_relative_information_score: 185.3644, mean_absolute_error: 0.3065, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6721, predictive_accuracy: 0.6935, prior_entropy: 0.9188, recall: 0.6935, relative_absolute_error: 0.6895, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5537, root_relative_squared_error: 1.1745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5647, f_measure: 0.6301, kappa: 0.158, kb_relative_information_score: 185.3644, mean_absolute_error: 0.3065, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6806, predictive_accuracy: 0.6935, prior_entropy: 0.9188, recall: 0.6935, relative_absolute_error: 0.6895, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5537, root_relative_squared_error: 1.1745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 142.8743, mean_absolute_error: 0.3333, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.7497, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5774, root_relative_squared_error: 1.2247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6797, f_measure: 0.7233, kappa: 0.3697, kb_relative_information_score: 239.6572, mean_absolute_error: 0.2723, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.7211, predictive_accuracy: 0.7277, prior_entropy: 0.9188, recall: 0.7277, relative_absolute_error: 0.6125, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5218, root_relative_squared_error: 1.107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 142.8743, mean_absolute_error: 0.3333, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.7497, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5774, root_relative_squared_error: 1.2247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 142.8743, mean_absolute_error: 0.3333, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.7497, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5774, root_relative_squared_error: 1.2247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5859, f_measure: 0.6322, kappa: 0.1721, kb_relative_information_score: 88.5815, mean_absolute_error: 0.3676, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.632, predictive_accuracy: 0.6324, prior_entropy: 0.9188, recall: 0.6324, relative_absolute_error: 0.8267, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.6063, root_relative_squared_error: 1.2861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7065, f_measure: 0.7405, kappa: 0.4148, kb_relative_information_score: 260.9022, mean_absolute_error: 0.2589, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.7399, predictive_accuracy: 0.7411, prior_entropy: 0.9188, recall: 0.7411, relative_absolute_error: 0.5824, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5089, root_relative_squared_error: 1.0794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5145, f_measure: 0.5635, kappa: 0.0284, kb_relative_information_score: -27.0859, mean_absolute_error: 0.4405, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5682, predictive_accuracy: 0.5595, prior_entropy: 0.9188, recall: 0.5595, relative_absolute_error: 0.9907, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.6637, root_relative_squared_error: 1.4079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4833, f_measure: 0.5275, kappa: -0.0431, kb_relative_information_score: 100.3842, mean_absolute_error: 0.3601, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.481, predictive_accuracy: 0.6399, prior_entropy: 0.9188, recall: 0.6399, relative_absolute_error: 0.81, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.6001, root_relative_squared_error: 1.273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.519, f_measure: 0.567, kappa: 0.0492, kb_relative_information_score: 154.6771, mean_absolute_error: 0.3259, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6608, predictive_accuracy: 0.6741, prior_entropy: 0.9188, recall: 0.6741, relative_absolute_error: 0.733, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5709, root_relative_squared_error: 1.211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6685, f_measure: 0.7206, kappa: 0.3574, kb_relative_information_score: 244.3783, mean_absolute_error: 0.2693, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.7198, predictive_accuracy: 0.7307, prior_entropy: 0.9188, recall: 0.7307, relative_absolute_error: 0.6058, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.519, root_relative_squared_error: 1.1009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6596, f_measure: 0.7134, kappa: 0.3401, kb_relative_information_score: 234.9361, mean_absolute_error: 0.2753, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.7127, predictive_accuracy: 0.7247, prior_entropy: 0.9188, recall: 0.7247, relative_absolute_error: 0.6192, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5247, root_relative_squared_error: 1.113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5491, f_measure: 0.611, kappa: 0.1221, kb_relative_information_score: 173.5616, mean_absolute_error: 0.314, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.671, predictive_accuracy: 0.686, prior_entropy: 0.9188, recall: 0.686, relative_absolute_error: 0.7062, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5603, root_relative_squared_error: 1.1887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 142.8743, mean_absolute_error: 0.3333, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.7497, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5774, root_relative_squared_error: 1.2247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 142.8743, mean_absolute_error: 0.3333, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.7497, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5774, root_relative_squared_error: 1.2247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7176, f_measure: 0.7529, kappa: 0.4407, kb_relative_information_score: 282.1473, mean_absolute_error: 0.2455, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.7517, predictive_accuracy: 0.7545, prior_entropy: 0.9188, recall: 0.7545, relative_absolute_error: 0.5523, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4955, root_relative_squared_error: 1.0511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 142.8743, mean_absolute_error: 0.3333, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.7497, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5774, root_relative_squared_error: 1.2247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 142.8743, mean_absolute_error: 0.3333, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.7497, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5774, root_relative_squared_error: 1.2247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4152, f_measure: 0.4815, kappa: -0.171, kb_relative_information_score: -147.4744, mean_absolute_error: 0.5164, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.4795, predictive_accuracy: 0.4836, prior_entropy: 0.9188, recall: 0.4836, relative_absolute_error: 1.1614, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.7186, root_relative_squared_error: 1.5244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 142.8743, mean_absolute_error: 0.3333, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.7497, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5774, root_relative_squared_error: 1.2247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6317, f_measure: 0.6966, kappa: 0.2972, kb_relative_information_score: 232.5755, mean_absolute_error: 0.2768, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.7107, predictive_accuracy: 0.7232, prior_entropy: 0.9188, recall: 0.7232, relative_absolute_error: 0.6225, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5261, root_relative_squared_error: 1.116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6283, f_measure: 0.6875, kappa: 0.2781, kb_relative_information_score: 201.8883, mean_absolute_error: 0.2961, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6874, predictive_accuracy: 0.7039, prior_entropy: 0.9188, recall: 0.7039, relative_absolute_error: 0.666, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5442, root_relative_squared_error: 1.1544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4163, f_measure: 0.4833, kappa: -0.1695, kb_relative_information_score: -142.7533, mean_absolute_error: 0.5134, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.4801, predictive_accuracy: 0.4866, prior_entropy: 0.9188, recall: 0.4866, relative_absolute_error: 1.1547, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.7165, root_relative_squared_error: 1.52,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6875, f_measure: 0.7288, kappa: 0.3836, kb_relative_information_score: 246.7389, mean_absolute_error: 0.2679, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.7268, predictive_accuracy: 0.7321, prior_entropy: 0.9188, recall: 0.7321, relative_absolute_error: 0.6025, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5175, root_relative_squared_error: 1.0979,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6719, f_measure: 0.7283, kappa: 0.3724, kb_relative_information_score: 263.2628, mean_absolute_error: 0.2574, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.7321, predictive_accuracy: 0.7426, prior_entropy: 0.9188, recall: 0.7426, relative_absolute_error: 0.579, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5074, root_relative_squared_error: 1.0763,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 142.8743, mean_absolute_error: 0.3333, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.7497, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5774, root_relative_squared_error: 1.2247,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6373, f_measure: 0.6987, kappa: 0.3026, kb_relative_information_score: 225.4939, mean_absolute_error: 0.2813, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.704, predictive_accuracy: 0.7188, prior_entropy: 0.9188, recall: 0.7188, relative_absolute_error: 0.6326, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5303, root_relative_squared_error: 1.125,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 142.8743, mean_absolute_error: 0.3333, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.7497, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5774, root_relative_squared_error: 1.2247,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 142.8743, mean_absolute_error: 0.3333, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.7497, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5774, root_relative_squared_error: 1.2247,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 142.8743, mean_absolute_error: 0.3333, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.7497, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5774, root_relative_squared_error: 1.2247,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.51, f_measure: 0.561, kappa: 0.0198, kb_relative_information_score: -29.4465, mean_absolute_error: 0.442, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5644, predictive_accuracy: 0.558, prior_entropy: 0.9188, recall: 0.558, relative_absolute_error: 0.9941, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.6648, root_relative_squared_error: 1.4103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 142.8743, mean_absolute_error: 0.3333, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.7497, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5774, root_relative_squared_error: 1.2247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6998, f_measure: 0.7395, kappa: 0.4082, kb_relative_information_score: 263.2628, mean_absolute_error: 0.2574, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.7378, predictive_accuracy: 0.7426, prior_entropy: 0.9188, recall: 0.7426, relative_absolute_error: 0.579, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5074, root_relative_squared_error: 1.0763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 142.8743, mean_absolute_error: 0.3333, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.7497, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5774, root_relative_squared_error: 1.2247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5402, f_measure: 0.591, kappa: 0.0803, kb_relative_information_score: 22.4858, mean_absolute_error: 0.4092, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5912, predictive_accuracy: 0.5908, prior_entropy: 0.9188, recall: 0.5908, relative_absolute_error: 0.9204, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.6397, root_relative_squared_error: 1.357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6842, f_measure: 0.7304, kappa: 0.3833, kb_relative_information_score: 253.8206, mean_absolute_error: 0.2634, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.7285, predictive_accuracy: 0.7366, prior_entropy: 0.9188, recall: 0.7366, relative_absolute_error: 0.5924, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5132, root_relative_squared_error: 1.0887,

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