Task
Supervised Classification on wine

Supervised Classification on wine

Task 2382 Supervised Classification wine 539 runs submitted
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  • study_1 study_107 study_123 study_41 study_50 study_7 study_73 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9719, kappa: 0.9574, kb_relative_information_score: 0.8914, mean_absolute_error: 0.0657, mean_prior_absolute_error: 0.439, weighted_recall: 0.9719, number_of_instances: 178, precision: 0.9721, predictive_accuracy: 0.9719, prior_entropy: 1.5668, relative_absolute_error: 0.1497, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.1306, root_relative_squared_error: 0.2788, unweighted_recall: 0.9746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9662, kappa: 0.949, kb_relative_information_score: 0.9354, mean_absolute_error: 0.0354, mean_prior_absolute_error: 0.439, weighted_recall: 0.9663, number_of_instances: 178, precision: 0.9678, predictive_accuracy: 0.9663, prior_entropy: 1.5668, relative_absolute_error: 0.0806, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.1226, root_relative_squared_error: 0.2617, unweighted_recall: 0.9709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9775, kappa: 0.9659, kb_relative_information_score: 0.8727, mean_absolute_error: 0.0766, mean_prior_absolute_error: 0.439, weighted_recall: 0.9775, number_of_instances: 178, precision: 0.9778, predictive_accuracy: 0.9775, prior_entropy: 1.5668, relative_absolute_error: 0.1745, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.1417, root_relative_squared_error: 0.3024, unweighted_recall: 0.9803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8813, f_measure: 0.7462, kappa: 0.6231, kb_relative_information_score: 0.593, mean_absolute_error: 0.2023, mean_prior_absolute_error: 0.439, weighted_recall: 0.7528, number_of_instances: 178, precision: 0.7434, predictive_accuracy: 0.7528, prior_entropy: 1.5668, relative_absolute_error: 0.4609, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.3388, root_relative_squared_error: 0.7233, unweighted_recall: 0.7388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9178, f_measure: 0.8931, kappa: 0.838, kb_relative_information_score: 0.8535, mean_absolute_error: 0.0712, mean_prior_absolute_error: 0.439, weighted_recall: 0.8933, number_of_instances: 178, precision: 0.8932, predictive_accuracy: 0.8933, prior_entropy: 1.5668, relative_absolute_error: 0.1621, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.2668, root_relative_squared_error: 0.5695, unweighted_recall: 0.897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9831, kappa: 0.9745, kb_relative_information_score: 173.9867, mean_absolute_error: 0.0112, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9837, predictive_accuracy: 0.9831, prior_entropy: 1.5674, recall: 0.9831, relative_absolute_error: 0.0256, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.106, root_relative_squared_error: 0.2263, usercpu_time_millis: 0.5, usercpu_time_millis_testing: 0.02, usercpu_time_millis_training: 0.48,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9015, f_measure: 0.8707, kappa: 0.8043, kb_relative_information_score: 0.8226, mean_absolute_error: 0.0861, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.8713, predictive_accuracy: 0.8708, prior_entropy: 1.5668, recall: 0.8708, relative_absolute_error: 0.1962, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.2935, root_relative_squared_error: 0.6265, usercpu_time_millis: 0.06, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 0.02,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7264, kappa: 0.4737, kb_relative_information_score: 71.9393, mean_absolute_error: 0.2973, mean_prior_absolute_error: 0.439, number_of_instances: 178, predictive_accuracy: 0.6629, prior_entropy: 1.5674, recall: 0.6629, relative_absolute_error: 0.6773, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.3979, root_relative_squared_error: 0.8493,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9477, f_measure: 0.9268, kappa: 0.8889, kb_relative_information_score: 160.0654, mean_absolute_error: 0.0478, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9276, predictive_accuracy: 0.927, prior_entropy: 1.5674, recall: 0.927, relative_absolute_error: 0.1088, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.2169, root_relative_squared_error: 0.463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9888, kappa: 0.9829, kb_relative_information_score: 164.7059, mean_absolute_error: 0.0453, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9888, predictive_accuracy: 0.9888, prior_entropy: 1.5674, recall: 0.9888, relative_absolute_error: 0.1032, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.1044, root_relative_squared_error: 0.223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, f_measure: 0.9719, kappa: 0.9575, kb_relative_information_score: 171.2845, mean_absolute_error: 0.0187, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9727, predictive_accuracy: 0.9719, prior_entropy: 1.5674, recall: 0.9719, relative_absolute_error: 0.0427, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.1368, root_relative_squared_error: 0.2921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9832, kappa: 0.9744, kb_relative_information_score: 169.9691, mean_absolute_error: 0.0256, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9833, predictive_accuracy: 0.9831, prior_entropy: 1.5674, recall: 0.9831, relative_absolute_error: 0.0583, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.0908, root_relative_squared_error: 0.1938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9607, kappa: 0.9402, kb_relative_information_score: 160.828, mean_absolute_error: 0.0554, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9607, predictive_accuracy: 0.9607, prior_entropy: 1.5674, recall: 0.9607, relative_absolute_error: 0.1262, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.1451, root_relative_squared_error: 0.3098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9662, kappa: 0.9489, kb_relative_information_score: 169.5897, mean_absolute_error: 0.0234, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9664, predictive_accuracy: 0.9663, prior_entropy: 1.5674, recall: 0.9663, relative_absolute_error: 0.0534, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.1449, root_relative_squared_error: 0.3092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9497, kappa: 0.923, kb_relative_information_score: 156.8055, mean_absolute_error: 0.0663, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9505, predictive_accuracy: 0.9494, prior_entropy: 1.5674, recall: 0.9494, relative_absolute_error: 0.151, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.157, root_relative_squared_error: 0.3352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9831, kappa: 0.9744, kb_relative_information_score: 171.0104, mean_absolute_error: 0.0211, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9834, predictive_accuracy: 0.9831, prior_entropy: 1.5674, recall: 0.9831, relative_absolute_error: 0.048, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.1068, root_relative_squared_error: 0.2281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.958, f_measure: 0.9383, kappa: 0.906, kb_relative_information_score: 160.5565, mean_absolute_error: 0.0499, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9392, predictive_accuracy: 0.9382, prior_entropy: 1.5674, recall: 0.9382, relative_absolute_error: 0.1137, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.2009, root_relative_squared_error: 0.4289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9775, kappa: 0.9659, kb_relative_information_score: 172.3248, mean_absolute_error: 0.0162, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.978, predictive_accuracy: 0.9775, prior_entropy: 1.5674, recall: 0.9775, relative_absolute_error: 0.0369, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.1042, root_relative_squared_error: 0.2224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9743, f_measure: 0.9548, kappa: 0.932, kb_relative_information_score: 166.0545, mean_absolute_error: 0.0341, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9557, predictive_accuracy: 0.9551, prior_entropy: 1.5674, recall: 0.9551, relative_absolute_error: 0.0776, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.1674, root_relative_squared_error: 0.3573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9662, kappa: 0.9489, kb_relative_information_score: 170.1485, mean_absolute_error: 0.022, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9669, predictive_accuracy: 0.9663, prior_entropy: 1.5674, recall: 0.9663, relative_absolute_error: 0.0502, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.1426, root_relative_squared_error: 0.3044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9662, kappa: 0.9489, kb_relative_information_score: 169.6078, mean_absolute_error: 0.0233, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9665, predictive_accuracy: 0.9663, prior_entropy: 1.5674, recall: 0.9663, relative_absolute_error: 0.053, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.1491, root_relative_squared_error: 0.3184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9718, kappa: 0.9575, kb_relative_information_score: 172.2778, mean_absolute_error: 0.0162, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9735, predictive_accuracy: 0.9719, prior_entropy: 1.5674, recall: 0.9719, relative_absolute_error: 0.037, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.1101, root_relative_squared_error: 0.2351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9719, kappa: 0.9574, kb_relative_information_score: 172.2095, mean_absolute_error: 0.0157, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9726, predictive_accuracy: 0.9719, prior_entropy: 1.5674, recall: 0.9719, relative_absolute_error: 0.0358, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.1069, root_relative_squared_error: 0.2282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9717, kappa: 0.9575, kb_relative_information_score: 170.7276, mean_absolute_error: 0.0215, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9732, predictive_accuracy: 0.9719, prior_entropy: 1.5674, recall: 0.9719, relative_absolute_error: 0.049, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.1103, root_relative_squared_error: 0.2356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9775, kappa: 0.9659, kb_relative_information_score: 172.32, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.978, predictive_accuracy: 0.9775, prior_entropy: 1.5674, recall: 0.9775, relative_absolute_error: 0.0367, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.1043, root_relative_squared_error: 0.2226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9604, kappa: 0.9405, kb_relative_information_score: 164.2804, mean_absolute_error: 0.0432, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9617, predictive_accuracy: 0.9607, prior_entropy: 1.5674, recall: 0.9607, relative_absolute_error: 0.0983, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.1338, root_relative_squared_error: 0.2856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9775, kappa: 0.9659, kb_relative_information_score: 108.5473, mean_absolute_error: 0.229, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9777, predictive_accuracy: 0.9775, prior_entropy: 1.5674, recall: 0.9775, relative_absolute_error: 0.5216, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.2789, root_relative_squared_error: 0.5953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9663, kappa: 0.9488, kb_relative_information_score: 157.7899, mean_absolute_error: 0.0642, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9663, predictive_accuracy: 0.9663, prior_entropy: 1.5674, recall: 0.9663, relative_absolute_error: 0.1463, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.161, root_relative_squared_error: 0.3437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9438, kappa: 0.9148, kb_relative_information_score: 146.1832, mean_absolute_error: 0.104, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.944, predictive_accuracy: 0.9438, prior_entropy: 1.5674, recall: 0.9438, relative_absolute_error: 0.2368, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.178, root_relative_squared_error: 0.38,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4831, f_measure: 0.2275, kb_relative_information_score: 0.1107, mean_absolute_error: 0.439, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.1591, predictive_accuracy: 0.3989, prior_entropy: 1.5674, recall: 0.3989, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4685, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9717, kappa: 0.9575, kb_relative_information_score: 163.9296, mean_absolute_error: 0.0442, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9732, predictive_accuracy: 0.9719, prior_entropy: 1.5674, recall: 0.9719, relative_absolute_error: 0.1007, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.1454, root_relative_squared_error: 0.3103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9605, kappa: 0.9405, kb_relative_information_score: 164.7982, mean_absolute_error: 0.0405, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9619, predictive_accuracy: 0.9607, prior_entropy: 1.5674, recall: 0.9607, relative_absolute_error: 0.0922, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.1396, root_relative_squared_error: 0.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9717, kappa: 0.9575, kb_relative_information_score: 166.3369, mean_absolute_error: 0.0367, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9732, predictive_accuracy: 0.9719, prior_entropy: 1.5674, recall: 0.9719, relative_absolute_error: 0.0837, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.1313, root_relative_squared_error: 0.2802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9556, f_measure: 0.9382, kappa: 0.906, kb_relative_information_score: 160.9221, mean_absolute_error: 0.048, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9383, predictive_accuracy: 0.9382, prior_entropy: 1.5674, recall: 0.9382, relative_absolute_error: 0.1093, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.201, root_relative_squared_error: 0.4292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9775, kappa: 0.9659, kb_relative_information_score: 172.3734, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.978, predictive_accuracy: 0.9775, prior_entropy: 1.5674, recall: 0.9775, relative_absolute_error: 0.0367, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.104, root_relative_squared_error: 0.2219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9831, kappa: 0.9745, kb_relative_information_score: 109.7963, mean_absolute_error: 0.226, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9837, predictive_accuracy: 0.9831, prior_entropy: 1.5674, recall: 0.9831, relative_absolute_error: 0.5148, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.279, root_relative_squared_error: 0.5955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9831, kappa: 0.9744, kb_relative_information_score: 161.1299, mean_absolute_error: 0.0536, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9832, predictive_accuracy: 0.9831, prior_entropy: 1.5674, recall: 0.9831, relative_absolute_error: 0.1222, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.1524, root_relative_squared_error: 0.3252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9491, kappa: 0.9234, kb_relative_information_score: 166.6258, mean_absolute_error: 0.0314, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9497, predictive_accuracy: 0.9494, prior_entropy: 1.5674, recall: 0.9494, relative_absolute_error: 0.0716, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.1587, root_relative_squared_error: 0.3388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9775, kappa: 0.9659, kb_relative_information_score: 158.0502, mean_absolute_error: 0.0675, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9778, predictive_accuracy: 0.9775, prior_entropy: 1.5674, recall: 0.9775, relative_absolute_error: 0.1538, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.1325, root_relative_squared_error: 0.2828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9831, kappa: 0.9744, kb_relative_information_score: 170.9937, mean_absolute_error: 0.0211, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9834, predictive_accuracy: 0.9831, prior_entropy: 1.5674, recall: 0.9831, relative_absolute_error: 0.0481, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.1068, root_relative_squared_error: 0.228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9832, kappa: 0.9744, kb_relative_information_score: 109.7272, mean_absolute_error: 0.226, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9833, predictive_accuracy: 0.9831, prior_entropy: 1.5674, recall: 0.9831, relative_absolute_error: 0.5148, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.279, root_relative_squared_error: 0.5955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9944, kappa: 0.9915, kb_relative_information_score: 110.9341, mean_absolute_error: 0.2235, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9945, predictive_accuracy: 0.9944, prior_entropy: 1.5674, recall: 0.9944, relative_absolute_error: 0.5091, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.2744, root_relative_squared_error: 0.5859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9556, f_measure: 0.9382, kappa: 0.906, kb_relative_information_score: 160.9221, mean_absolute_error: 0.048, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9383, predictive_accuracy: 0.9382, prior_entropy: 1.5674, recall: 0.9382, relative_absolute_error: 0.1093, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.201, root_relative_squared_error: 0.4292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9489, kappa: 0.9237, kb_relative_information_score: 166.2182, mean_absolute_error: 0.0335, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9516, predictive_accuracy: 0.9494, prior_entropy: 1.5674, recall: 0.9494, relative_absolute_error: 0.0764, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.1538, root_relative_squared_error: 0.3283,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9831, kappa: 0.9745, kb_relative_information_score: 173.9867, mean_absolute_error: 0.0112, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9837, predictive_accuracy: 0.9831, prior_entropy: 1.5674, recall: 0.9831, relative_absolute_error: 0.0256, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.106, root_relative_squared_error: 0.2263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9015, f_measure: 0.8707, kappa: 0.8043, kb_relative_information_score: 146.3612, mean_absolute_error: 0.0861, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.8713, predictive_accuracy: 0.8708, prior_entropy: 1.5674, recall: 0.8708, relative_absolute_error: 0.1962, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.2935, root_relative_squared_error: 0.6265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9831, kappa: 0.9745, kb_relative_information_score: 173.9867, mean_absolute_error: 0.0112, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9837, predictive_accuracy: 0.9831, prior_entropy: 1.5674, recall: 0.9831, relative_absolute_error: 0.0256, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.106, root_relative_squared_error: 0.2263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9015, f_measure: 0.8707, kappa: 0.8043, kb_relative_information_score: 146.3612, mean_absolute_error: 0.0861, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.8713, predictive_accuracy: 0.8708, prior_entropy: 1.5674, recall: 0.8708, relative_absolute_error: 0.1962, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.2935, root_relative_squared_error: 0.6265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9831, kappa: 0.9745, kb_relative_information_score: 173.9867, mean_absolute_error: 0.0112, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9837, predictive_accuracy: 0.9831, prior_entropy: 1.5674, recall: 0.9831, relative_absolute_error: 0.0256, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.106, root_relative_squared_error: 0.2263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9015, f_measure: 0.8707, kappa: 0.8043, kb_relative_information_score: 146.3612, mean_absolute_error: 0.0861, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.8713, predictive_accuracy: 0.8708, prior_entropy: 1.5674, recall: 0.8708, relative_absolute_error: 0.1962, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.2935, root_relative_squared_error: 0.6265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9831, kappa: 0.9745, kb_relative_information_score: 173.9867, mean_absolute_error: 0.0112, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9837, predictive_accuracy: 0.9831, prior_entropy: 1.5674, recall: 0.9831, relative_absolute_error: 0.0256, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.106, root_relative_squared_error: 0.2263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9015, f_measure: 0.8707, kappa: 0.8043, kb_relative_information_score: 146.3612, mean_absolute_error: 0.0861, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.8713, predictive_accuracy: 0.8708, prior_entropy: 1.5674, recall: 0.8708, relative_absolute_error: 0.1962, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.2935, root_relative_squared_error: 0.6265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9831, kappa: 0.9745, kb_relative_information_score: 173.9867, mean_absolute_error: 0.0112, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9837, predictive_accuracy: 0.9831, prior_entropy: 1.5674, recall: 0.9831, relative_absolute_error: 0.0256, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.106, root_relative_squared_error: 0.2263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9015, f_measure: 0.8707, kappa: 0.8043, kb_relative_information_score: 146.3612, mean_absolute_error: 0.0861, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.8713, predictive_accuracy: 0.8708, prior_entropy: 1.5674, recall: 0.8708, relative_absolute_error: 0.1962, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.2935, root_relative_squared_error: 0.6265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7211, f_measure: 0.4494, kappa: 0.2128, kb_relative_information_score: 14.3138, mean_absolute_error: 0.4161, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.7215, predictive_accuracy: 0.5169, prior_entropy: 1.5674, recall: 0.5169, relative_absolute_error: 0.9478, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4475, root_relative_squared_error: 0.9552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9719, kappa: 0.9573, kb_relative_information_score: 153.1781, mean_absolute_error: 0.0798, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.972, predictive_accuracy: 0.9719, prior_entropy: 1.5674, recall: 0.9719, relative_absolute_error: 0.1817, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.1605, root_relative_squared_error: 0.3427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9179, f_measure: 0.8933, kappa: 0.8381, kb_relative_information_score: 151.872, mean_absolute_error: 0.0712, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.8944, predictive_accuracy: 0.8933, prior_entropy: 1.5674, recall: 0.8933, relative_absolute_error: 0.1621, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.2668, root_relative_squared_error: 0.5695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9831, kappa: 0.9745, kb_relative_information_score: 173.9867, mean_absolute_error: 0.0112, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9837, predictive_accuracy: 0.9831, prior_entropy: 1.5674, recall: 0.9831, relative_absolute_error: 0.0256, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.106, root_relative_squared_error: 0.2263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9015, f_measure: 0.8707, kappa: 0.8043, kb_relative_information_score: 146.3612, mean_absolute_error: 0.0861, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.8713, predictive_accuracy: 0.8708, prior_entropy: 1.5674, recall: 0.8708, relative_absolute_error: 0.1962, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.2935, root_relative_squared_error: 0.6265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9831, kappa: 0.9745, kb_relative_information_score: 173.9867, mean_absolute_error: 0.0112, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9837, predictive_accuracy: 0.9831, prior_entropy: 1.5674, recall: 0.9831, relative_absolute_error: 0.0256, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.106, root_relative_squared_error: 0.2263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9015, f_measure: 0.8707, kappa: 0.8043, kb_relative_information_score: 146.3612, mean_absolute_error: 0.0861, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.8713, predictive_accuracy: 0.8708, prior_entropy: 1.5674, recall: 0.8708, relative_absolute_error: 0.1962, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.2935, root_relative_squared_error: 0.6265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9831, kappa: 0.9745, kb_relative_information_score: 173.9867, mean_absolute_error: 0.0112, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9837, predictive_accuracy: 0.9831, prior_entropy: 1.5674, recall: 0.9831, relative_absolute_error: 0.0256, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.106, root_relative_squared_error: 0.2263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9015, f_measure: 0.8707, kappa: 0.8043, kb_relative_information_score: 146.3612, mean_absolute_error: 0.0861, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.8713, predictive_accuracy: 0.8708, prior_entropy: 1.5674, recall: 0.8708, relative_absolute_error: 0.1962, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.2935, root_relative_squared_error: 0.6265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9831, kappa: 0.9745, kb_relative_information_score: 173.9867, mean_absolute_error: 0.0112, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9837, predictive_accuracy: 0.9831, prior_entropy: 1.5674, recall: 0.9831, relative_absolute_error: 0.0256, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.106, root_relative_squared_error: 0.2263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9015, f_measure: 0.8707, kappa: 0.8043, kb_relative_information_score: 146.3612, mean_absolute_error: 0.0861, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.8713, predictive_accuracy: 0.8708, prior_entropy: 1.5674, recall: 0.8708, relative_absolute_error: 0.1962, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.2935, root_relative_squared_error: 0.6265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9831, kappa: 0.9745, kb_relative_information_score: 173.9867, mean_absolute_error: 0.0112, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9837, predictive_accuracy: 0.9831, prior_entropy: 1.5674, recall: 0.9831, relative_absolute_error: 0.0256, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.106, root_relative_squared_error: 0.2263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9015, f_measure: 0.8707, kappa: 0.8043, kb_relative_information_score: 146.3612, mean_absolute_error: 0.0861, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.8713, predictive_accuracy: 0.8708, prior_entropy: 1.5674, recall: 0.8708, relative_absolute_error: 0.1962, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.2935, root_relative_squared_error: 0.6265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9831, kappa: 0.9745, kb_relative_information_score: 173.9867, mean_absolute_error: 0.0112, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9837, predictive_accuracy: 0.9831, prior_entropy: 1.5674, recall: 0.9831, relative_absolute_error: 0.0256, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.106, root_relative_squared_error: 0.2263,

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