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: 0.5893, f_measure: 0.6495, kappa: 0.1916, kb_relative_information_score: 140.5137, mean_absolute_error: 0.3348, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.645, predictive_accuracy: 0.6652, prior_entropy: 0.9188, recall: 0.6652, relative_absolute_error: 0.7531, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5786, root_relative_squared_error: 1.2275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5268, f_measure: 0.5806, kappa: 0.0684, kb_relative_information_score: 157.0377, mean_absolute_error: 0.3244, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6528, predictive_accuracy: 0.6756, prior_entropy: 0.9188, recall: 0.6756, relative_absolute_error: 0.7296, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5696, root_relative_squared_error: 1.2082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4788, f_measure: 0.5347, kappa: -0.0525, kb_relative_information_score: 72.0575, mean_absolute_error: 0.378, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5081, predictive_accuracy: 0.622, prior_entropy: 0.9188, recall: 0.622, relative_absolute_error: 0.8501, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.6148, root_relative_squared_error: 1.3042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7221, f_measure: 0.7562, kappa: 0.4487, kb_relative_information_score: 286.8684, mean_absolute_error: 0.2426, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.7552, 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: 0.4163, f_measure: 0.4816, kappa: -0.1678, kb_relative_information_score: -149.835, mean_absolute_error: 0.5179, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.481, predictive_accuracy: 0.4821, prior_entropy: 0.9188, recall: 0.4821, relative_absolute_error: 1.1647, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.7196, root_relative_squared_error: 1.5265,
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: 0.5368, f_measure: 0.5904, kappa: 0.0743, kb_relative_information_score: 24.8464, mean_absolute_error: 0.4077, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5886, predictive_accuracy: 0.5923, prior_entropy: 0.9188, recall: 0.5923, relative_absolute_error: 0.9171, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.6385, root_relative_squared_error: 1.3546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.5326, kappa: -0.003, kb_relative_information_score: 140.5137, mean_absolute_error: 0.3348, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.4441, predictive_accuracy: 0.6652, prior_entropy: 0.9188, recall: 0.6652, relative_absolute_error: 0.7531, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5786, root_relative_squared_error: 1.2275,
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: 0.7254, f_measure: 0.7612, kappa: 0.4586, kb_relative_information_score: 296.3106, mean_absolute_error: 0.2366, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.7599, predictive_accuracy: 0.7634, prior_entropy: 0.9188, recall: 0.7634, relative_absolute_error: 0.5322, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4864, root_relative_squared_error: 1.0319,
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: 0.6071, f_measure: 0.6486, kappa: 0.2126, kb_relative_information_score: 112.187, mean_absolute_error: 0.3527, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6501, predictive_accuracy: 0.6473, prior_entropy: 0.9188, recall: 0.6473, relative_absolute_error: 0.7932, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5939, root_relative_squared_error: 1.2598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5424, f_measure: 0.5951, kappa: 0.0855, kb_relative_information_score: 31.928, mean_absolute_error: 0.4033, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5936, predictive_accuracy: 0.5967, prior_entropy: 0.9188, recall: 0.5967, relative_absolute_error: 0.907, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.635, root_relative_squared_error: 1.3471,
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: 0.4107, f_measure: 0.4774, kappa: -0.1798, kb_relative_information_score: -154.5561, mean_absolute_error: 0.5208, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.4756, predictive_accuracy: 0.4792, prior_entropy: 0.9188, recall: 0.4792, relative_absolute_error: 1.1714, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.7217, root_relative_squared_error: 1.5309,
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: 0.4978, f_measure: 0.5661, kappa: -0.005, kb_relative_information_score: 39.0097, mean_absolute_error: 0.3988, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.553, predictive_accuracy: 0.6012, prior_entropy: 0.9188, recall: 0.6012, relative_absolute_error: 0.897, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.6315, root_relative_squared_error: 1.3396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5201, f_measure: 0.5806, kappa: 0.0417, kb_relative_information_score: 20.1253, mean_absolute_error: 0.4107, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5743, predictive_accuracy: 0.5893, prior_entropy: 0.9188, recall: 0.5893, relative_absolute_error: 0.9238, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.6409, root_relative_squared_error: 1.3595,
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: 0.5971, f_measure: 0.6545, kappa: 0.2057, kb_relative_information_score: 142.8743, mean_absolute_error: 0.3333, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6499, 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: 0.5357, f_measure: 0.5883, kappa: 0.0717, kb_relative_information_score: 20.1253, mean_absolute_error: 0.4107, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5874, predictive_accuracy: 0.5893, prior_entropy: 0.9188, recall: 0.5893, relative_absolute_error: 0.9238, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.6409, root_relative_squared_error: 1.3595,
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: 0.5234, f_measure: 0.5683, kappa: 0.0455, kb_relative_information_score: -22.3648, mean_absolute_error: 0.4375, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5759, predictive_accuracy: 0.5625, prior_entropy: 0.9188, recall: 0.5625, relative_absolute_error: 0.984, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.6614, root_relative_squared_error: 1.4031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6362, f_measure: 0.7015, kappa: 0.3089, kb_relative_information_score: 242.0178, mean_absolute_error: 0.2708, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.7194, 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: 0.6607, f_measure: 0.7116, kappa: 0.338, kb_relative_information_score: 227.8544, mean_absolute_error: 0.2798, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.7095, predictive_accuracy: 0.7202, prior_entropy: 0.9188, recall: 0.7202, relative_absolute_error: 0.6292, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5289, root_relative_squared_error: 1.122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6484, f_measure: 0.7028, kappa: 0.3159, kb_relative_information_score: 218.4122, mean_absolute_error: 0.2857, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.7014, predictive_accuracy: 0.7143, prior_entropy: 0.9188, recall: 0.7143, relative_absolute_error: 0.6426, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5345, root_relative_squared_error: 1.1339,
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: 0.7065, f_measure: 0.7373, kappa: 0.4107, kb_relative_information_score: 253.8206, mean_absolute_error: 0.2634, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.7381, 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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5246, f_measure: 0.5796, kappa: 0.0496, kb_relative_information_score: 8.3225, mean_absolute_error: 0.4182, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5776, predictive_accuracy: 0.5818, prior_entropy: 0.9188, recall: 0.5818, relative_absolute_error: 0.9405, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.6466, root_relative_squared_error: 1.3717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6596, f_measure: 0.6948, kappa: 0.3164, kb_relative_information_score: 185.3644, mean_absolute_error: 0.3065, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6963, 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: 0.6217, f_measure: 0.6673, kappa: 0.2466, kb_relative_information_score: 147.5954, mean_absolute_error: 0.3304, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6653, predictive_accuracy: 0.6696, prior_entropy: 0.9188, recall: 0.6696, relative_absolute_error: 0.743, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5748, root_relative_squared_error: 1.2193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6708, f_measure: 0.7147, kappa: 0.3505, kb_relative_information_score: 225.4939, mean_absolute_error: 0.2813, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.7123, 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: 0.5, 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: 0.6083, f_measure: 0.6637, kappa: 0.228, kb_relative_information_score: 154.6771, mean_absolute_error: 0.3259, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6595, 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: 0.5, 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: 0.5011, f_measure: 0.536, kappa: 0.003, kb_relative_information_score: 142.8743, mean_absolute_error: 0.3333, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6114, 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: 0.596, f_measure: 0.6551, kappa: 0.2053, kb_relative_information_score: 147.5954, mean_absolute_error: 0.3304, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6509, predictive_accuracy: 0.6696, prior_entropy: 0.9188, recall: 0.6696, relative_absolute_error: 0.743, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5748, root_relative_squared_error: 1.2193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5658, f_measure: 0.6144, kappa: 0.1318, kb_relative_information_score: 60.2548, mean_absolute_error: 0.3854, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6142, predictive_accuracy: 0.6146, prior_entropy: 0.9188, recall: 0.6146, relative_absolute_error: 0.8669, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.6208, root_relative_squared_error: 1.317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6551, f_measure: 0.6915, kappa: 0.3082, kb_relative_information_score: 180.6432, mean_absolute_error: 0.3095, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6926, predictive_accuracy: 0.6905, prior_entropy: 0.9188, recall: 0.6905, relative_absolute_error: 0.6962, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5563, root_relative_squared_error: 1.1802,
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: 0.6261, f_measure: 0.6925, kappa: 0.2883, kb_relative_information_score: 232.5755, mean_absolute_error: 0.2768, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.7125, 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: 0.5257, f_measure: 0.5809, kappa: 0.0519, kb_relative_information_score: 10.683, mean_absolute_error: 0.4167, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5787, predictive_accuracy: 0.5833, prior_entropy: 0.9188, recall: 0.5833, relative_absolute_error: 0.9372, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.6455, root_relative_squared_error: 1.3693,
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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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5435, f_measure: 0.6018, kappa: 0.0903, kb_relative_information_score: 53.1731, mean_absolute_error: 0.3899, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5962, predictive_accuracy: 0.6101, prior_entropy: 0.9188, recall: 0.6101, relative_absolute_error: 0.8769, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.6244, root_relative_squared_error: 1.3246,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7009, f_measure: 0.7428, kappa: 0.4138, kb_relative_information_score: 270.3445, mean_absolute_error: 0.253, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.741, predictive_accuracy: 0.747, prior_entropy: 0.9188, recall: 0.747, relative_absolute_error: 0.569, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.503, root_relative_squared_error: 1.067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5815, f_measure: 0.6444, kappa: 0.1778, kb_relative_information_score: 140.5137, mean_absolute_error: 0.3348, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.641, predictive_accuracy: 0.6652, prior_entropy: 0.9188, recall: 0.6652, relative_absolute_error: 0.7531, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5786, root_relative_squared_error: 1.2275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5246, f_measure: 0.5916, kappa: 0.0544, kb_relative_information_score: 69.697, mean_absolute_error: 0.3795, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5825, predictive_accuracy: 0.6205, prior_entropy: 0.9188, recall: 0.6205, relative_absolute_error: 0.8535, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.616, root_relative_squared_error: 1.3067,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6663, f_measure: 0.7121, kappa: 0.3433, kb_relative_information_score: 223.1333, mean_absolute_error: 0.2827, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.7096, predictive_accuracy: 0.7173, prior_entropy: 0.9188, recall: 0.7173, relative_absolute_error: 0.6359, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5317, root_relative_squared_error: 1.128,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.519, f_measure: 0.5727, kappa: 0.038, kb_relative_information_score: -5.8409, mean_absolute_error: 0.4271, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5724, predictive_accuracy: 0.5729, prior_entropy: 0.9188, recall: 0.5729, relative_absolute_error: 0.9606, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.6535, root_relative_squared_error: 1.3863,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6529, f_measure: 0.7079, kappa: 0.327, kb_relative_information_score: 227.8544, mean_absolute_error: 0.2798, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.7074, predictive_accuracy: 0.7202, prior_entropy: 0.9188, recall: 0.7202, relative_absolute_error: 0.6292, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5289, root_relative_squared_error: 1.122,
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: 0.6708, f_measure: 0.7208, kappa: 0.3592, kb_relative_information_score: 242.0178, mean_absolute_error: 0.2708, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.7191, 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: 0.5, 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: 0.6696, f_measure: 0.7186, kappa: 0.3551, kb_relative_information_score: 237.2967, mean_absolute_error: 0.2738, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.7166, predictive_accuracy: 0.7262, prior_entropy: 0.9188, recall: 0.7262, relative_absolute_error: 0.6158, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5233, root_relative_squared_error: 1.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6708, f_measure: 0.7232, kappa: 0.363, kb_relative_information_score: 249.0994, mean_absolute_error: 0.2664, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.7228, predictive_accuracy: 0.7336, prior_entropy: 0.9188, recall: 0.7336, relative_absolute_error: 0.5991, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5161, root_relative_squared_error: 1.0948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4152, f_measure: 0.4804, kappa: -0.1698, kb_relative_information_score: -152.1955, mean_absolute_error: 0.5193, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.4801, predictive_accuracy: 0.4807, prior_entropy: 0.9188, recall: 0.4807, relative_absolute_error: 1.1681, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.7207, root_relative_squared_error: 1.5287,
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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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6842, f_measure: 0.7267, kappa: 0.378, kb_relative_information_score: 244.3783, mean_absolute_error: 0.2693, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.7246, 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,
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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,
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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7076, f_measure: 0.7408, kappa: 0.4161, kb_relative_information_score: 260.9022, mean_absolute_error: 0.2589, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.7405, 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,
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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: 0.4654, f_measure: 0.52, kappa: -0.0856, kb_relative_information_score: 53.1731, mean_absolute_error: 0.3899, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.4782, predictive_accuracy: 0.6101, prior_entropy: 0.9188, recall: 0.6101, relative_absolute_error: 0.8769, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.6244, root_relative_squared_error: 1.3246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6138, f_measure: 0.6582, kappa: 0.229, kb_relative_information_score: 131.0715, mean_absolute_error: 0.3408, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6573, predictive_accuracy: 0.6592, prior_entropy: 0.9188, recall: 0.6592, relative_absolute_error: 0.7665, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5838, root_relative_squared_error: 1.2383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6842, f_measure: 0.7104, kappa: 0.3583, kb_relative_information_score: 206.6094, mean_absolute_error: 0.2932, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.7159, predictive_accuracy: 0.7068, prior_entropy: 0.9188, recall: 0.7068, relative_absolute_error: 0.6594, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5414, root_relative_squared_error: 1.1486,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4241, f_measure: 0.4932, kappa: -0.157, kb_relative_information_score: -116.7871, mean_absolute_error: 0.497, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.485, predictive_accuracy: 0.503, prior_entropy: 0.9188, recall: 0.503, relative_absolute_error: 1.1179, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.705, root_relative_squared_error: 1.4955,
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,

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