OpenML
Supervised Classification on semeion

Supervised Classification on semeion

Task 9964 Supervised Classification semeion 20292 runs submitted
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  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_50 study_7 study_98 study_99
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20292 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9209, f_measure: 0.6921, kappa: 0.6617, kb_relative_information_score: 0.6767, mean_absolute_error: 0.0757, mean_prior_absolute_error: 0.18, weighted_recall: 0.6955, number_of_instances: 1593, precision: 0.6926, predictive_accuracy: 0.6955, prior_entropy: 3.3218, relative_absolute_error: 0.4203, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2071, root_relative_squared_error: 0.6905, unweighted_recall: 0.6944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9212, f_measure: 0.7231, kappa: 0.6959, kb_relative_information_score: 0.7069, mean_absolute_error: 0.0671, mean_prior_absolute_error: 0.18, weighted_recall: 0.7263, number_of_instances: 1593, precision: 0.725, predictive_accuracy: 0.7263, prior_entropy: 3.3218, relative_absolute_error: 0.3728, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2002, root_relative_squared_error: 0.6675, unweighted_recall: 0.7252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.908, f_measure: 0.7333, kappa: 0.7063, kb_relative_information_score: 0.7193, mean_absolute_error: 0.0624, mean_prior_absolute_error: 0.18, weighted_recall: 0.7357, number_of_instances: 1593, precision: 0.7344, predictive_accuracy: 0.7357, prior_entropy: 3.3218, relative_absolute_error: 0.3467, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2008, root_relative_squared_error: 0.6692, unweighted_recall: 0.7347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9138, f_measure: 0.7136, kappa: 0.6847, kb_relative_information_score: 0.7046, mean_absolute_error: 0.0668, mean_prior_absolute_error: 0.18, weighted_recall: 0.7163, number_of_instances: 1593, precision: 0.717, predictive_accuracy: 0.7163, prior_entropy: 3.3218, relative_absolute_error: 0.3709, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2037, root_relative_squared_error: 0.6792, unweighted_recall: 0.715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.914, f_measure: 0.6847, kappa: 0.6505, kb_relative_information_score: 0.6701, mean_absolute_error: 0.0772, mean_prior_absolute_error: 0.18, weighted_recall: 0.6855, number_of_instances: 1593, precision: 0.6869, predictive_accuracy: 0.6855, prior_entropy: 3.3218, relative_absolute_error: 0.4287, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2115, root_relative_squared_error: 0.705, unweighted_recall: 0.6846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9227, f_measure: 0.6922, kappa: 0.6603, kb_relative_information_score: 0.6831, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.18, weighted_recall: 0.6943, number_of_instances: 1593, precision: 0.6951, predictive_accuracy: 0.6943, prior_entropy: 3.3218, relative_absolute_error: 0.4109, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2067, root_relative_squared_error: 0.6891, unweighted_recall: 0.6931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9117, f_measure: 0.746, kappa: 0.7196, kb_relative_information_score: 0.7277, mean_absolute_error: 0.0612, mean_prior_absolute_error: 0.18, weighted_recall: 0.7476, number_of_instances: 1593, precision: 0.7493, predictive_accuracy: 0.7476, prior_entropy: 3.3218, relative_absolute_error: 0.34, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2, root_relative_squared_error: 0.6665, unweighted_recall: 0.7467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9098, f_measure: 0.7078, kappa: 0.6784, kb_relative_information_score: 0.6928, mean_absolute_error: 0.0697, mean_prior_absolute_error: 0.18, weighted_recall: 0.7106, number_of_instances: 1593, precision: 0.7092, predictive_accuracy: 0.7106, prior_entropy: 3.3218, relative_absolute_error: 0.3871, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2082, root_relative_squared_error: 0.6939, unweighted_recall: 0.7096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9069, f_measure: 0.739, kappa: 0.7112, kb_relative_information_score: 0.7287, mean_absolute_error: 0.0608, mean_prior_absolute_error: 0.18, weighted_recall: 0.7401, number_of_instances: 1593, precision: 0.7393, predictive_accuracy: 0.7401, prior_entropy: 3.3218, relative_absolute_error: 0.3377, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2004, root_relative_squared_error: 0.6682, unweighted_recall: 0.7392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9182, f_measure: 0.7005, kappa: 0.6694, kb_relative_information_score: 0.696, mean_absolute_error: 0.0705, mean_prior_absolute_error: 0.18, weighted_recall: 0.7024, number_of_instances: 1593, precision: 0.7015, predictive_accuracy: 0.7024, prior_entropy: 3.3218, relative_absolute_error: 0.3918, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2056, root_relative_squared_error: 0.6854, unweighted_recall: 0.7017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.918, f_measure: 0.7237, kappa: 0.6952, kb_relative_information_score: 0.7038, mean_absolute_error: 0.0684, mean_prior_absolute_error: 0.18, weighted_recall: 0.7257, number_of_instances: 1593, precision: 0.7278, predictive_accuracy: 0.7257, prior_entropy: 3.3218, relative_absolute_error: 0.3798, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2021, root_relative_squared_error: 0.6736, unweighted_recall: 0.7246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9001, f_measure: 0.6382, kappa: 0.6017, kb_relative_information_score: 0.6296, mean_absolute_error: 0.0841, mean_prior_absolute_error: 0.18, weighted_recall: 0.6416, number_of_instances: 1593, precision: 0.6391, predictive_accuracy: 0.6416, prior_entropy: 3.3218, relative_absolute_error: 0.4672, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.223, root_relative_squared_error: 0.7433, unweighted_recall: 0.6403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8752, f_measure: 0.7262, kappa: 0.6966, kb_relative_information_score: 0.7325, mean_absolute_error: 0.0556, mean_prior_absolute_error: 0.18, weighted_recall: 0.7269, number_of_instances: 1593, precision: 0.7294, predictive_accuracy: 0.7269, prior_entropy: 3.3218, relative_absolute_error: 0.3087, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2154, root_relative_squared_error: 0.718, unweighted_recall: 0.7261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9019, f_measure: 0.6785, kappa: 0.6463, kb_relative_information_score: 0.6759, mean_absolute_error: 0.0747, mean_prior_absolute_error: 0.18, weighted_recall: 0.6817, number_of_instances: 1593, precision: 0.6782, predictive_accuracy: 0.6817, prior_entropy: 3.3218, relative_absolute_error: 0.4152, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2157, root_relative_squared_error: 0.7188, unweighted_recall: 0.6806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9118, f_measure: 0.7007, kappa: 0.6708, kb_relative_information_score: 0.6818, mean_absolute_error: 0.0748, mean_prior_absolute_error: 0.18, weighted_recall: 0.7037, number_of_instances: 1593, precision: 0.7004, predictive_accuracy: 0.7037, prior_entropy: 3.3218, relative_absolute_error: 0.4158, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2094, root_relative_squared_error: 0.6981, unweighted_recall: 0.7029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9113, f_measure: 0.6883, kappa: 0.6561, kb_relative_information_score: 0.6684, mean_absolute_error: 0.0769, mean_prior_absolute_error: 0.18, weighted_recall: 0.6905, number_of_instances: 1593, precision: 0.6904, predictive_accuracy: 0.6905, prior_entropy: 3.3218, relative_absolute_error: 0.4273, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.213, root_relative_squared_error: 0.7099, unweighted_recall: 0.6895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9203, f_measure: 0.6861, kappa: 0.6519, kb_relative_information_score: 0.668, mean_absolute_error: 0.0795, mean_prior_absolute_error: 0.18, weighted_recall: 0.6868, number_of_instances: 1593, precision: 0.6899, predictive_accuracy: 0.6868, prior_entropy: 3.3218, relative_absolute_error: 0.4415, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2088, root_relative_squared_error: 0.6958, unweighted_recall: 0.6859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9181, f_measure: 0.6499, kappa: 0.6135, kb_relative_information_score: 0.6345, mean_absolute_error: 0.0859, mean_prior_absolute_error: 0.18, weighted_recall: 0.6522, number_of_instances: 1593, precision: 0.6535, predictive_accuracy: 0.6522, prior_entropy: 3.3218, relative_absolute_error: 0.4773, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2149, root_relative_squared_error: 0.7163, unweighted_recall: 0.6512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9176, f_measure: 0.7341, kappa: 0.7077, kb_relative_information_score: 0.7203, mean_absolute_error: 0.0642, mean_prior_absolute_error: 0.18, weighted_recall: 0.737, number_of_instances: 1593, precision: 0.7354, predictive_accuracy: 0.737, prior_entropy: 3.3218, relative_absolute_error: 0.3567, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1994, root_relative_squared_error: 0.6646, unweighted_recall: 0.7361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9042, f_measure: 0.6891, kappa: 0.6554, kb_relative_information_score: 0.664, mean_absolute_error: 0.0771, mean_prior_absolute_error: 0.18, weighted_recall: 0.6899, number_of_instances: 1593, precision: 0.6928, predictive_accuracy: 0.6899, prior_entropy: 3.3218, relative_absolute_error: 0.4284, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2127, root_relative_squared_error: 0.709, unweighted_recall: 0.6889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9123, f_measure: 0.6753, kappa: 0.6428, kb_relative_information_score: 0.6484, mean_absolute_error: 0.0815, mean_prior_absolute_error: 0.18, weighted_recall: 0.6786, number_of_instances: 1593, precision: 0.6777, predictive_accuracy: 0.6786, prior_entropy: 3.3218, relative_absolute_error: 0.4525, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2136, root_relative_squared_error: 0.712, unweighted_recall: 0.6775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9058, f_measure: 0.6386, kappa: 0.6031, kb_relative_information_score: 0.6129, mean_absolute_error: 0.0897, mean_prior_absolute_error: 0.18, weighted_recall: 0.6428, number_of_instances: 1593, precision: 0.6402, predictive_accuracy: 0.6428, prior_entropy: 3.3218, relative_absolute_error: 0.4981, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2216, root_relative_squared_error: 0.7385, unweighted_recall: 0.6417,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9175, f_measure: 0.6834, kappa: 0.6512, kb_relative_information_score: 0.6543, mean_absolute_error: 0.0803, mean_prior_absolute_error: 0.18, weighted_recall: 0.6861, number_of_instances: 1593, precision: 0.6889, predictive_accuracy: 0.6861, prior_entropy: 3.3218, relative_absolute_error: 0.4462, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2103, root_relative_squared_error: 0.7009, unweighted_recall: 0.6849,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.921, f_measure: 0.679, kappa: 0.6435, kb_relative_information_score: 0.6629, mean_absolute_error: 0.0798, mean_prior_absolute_error: 0.18, weighted_recall: 0.6792, number_of_instances: 1593, precision: 0.6833, predictive_accuracy: 0.6792, prior_entropy: 3.3218, relative_absolute_error: 0.4433, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2121, root_relative_squared_error: 0.7071, unweighted_recall: 0.6784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9184, f_measure: 0.6801, kappa: 0.6477, kb_relative_information_score: 0.6742, mean_absolute_error: 0.0762, mean_prior_absolute_error: 0.18, weighted_recall: 0.683, number_of_instances: 1593, precision: 0.6815, predictive_accuracy: 0.683, prior_entropy: 3.3218, relative_absolute_error: 0.4232, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2102, root_relative_squared_error: 0.7008, unweighted_recall: 0.682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9254, f_measure: 0.6958, kappa: 0.6652, kb_relative_information_score: 0.6817, mean_absolute_error: 0.0766, mean_prior_absolute_error: 0.18, weighted_recall: 0.6987, number_of_instances: 1593, precision: 0.6965, predictive_accuracy: 0.6987, prior_entropy: 3.3218, relative_absolute_error: 0.4258, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2055, root_relative_squared_error: 0.6851, unweighted_recall: 0.6976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9048, f_measure: 0.6209, kappa: 0.58, kb_relative_information_score: 0.6075, mean_absolute_error: 0.0915, mean_prior_absolute_error: 0.18, weighted_recall: 0.6221, number_of_instances: 1593, precision: 0.6256, predictive_accuracy: 0.6221, prior_entropy: 3.3218, relative_absolute_error: 0.5086, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2243, root_relative_squared_error: 0.7478, unweighted_recall: 0.6211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9051, f_measure: 0.6486, kappa: 0.6108, kb_relative_information_score: 0.6334, mean_absolute_error: 0.086, mean_prior_absolute_error: 0.18, weighted_recall: 0.6497, number_of_instances: 1593, precision: 0.649, predictive_accuracy: 0.6497, prior_entropy: 3.3218, relative_absolute_error: 0.4779, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.221, root_relative_squared_error: 0.7367, unweighted_recall: 0.6487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9199, f_measure: 0.7019, kappa: 0.6721, kb_relative_information_score: 0.6906, mean_absolute_error: 0.071, mean_prior_absolute_error: 0.18, weighted_recall: 0.705, number_of_instances: 1593, precision: 0.7056, predictive_accuracy: 0.705, prior_entropy: 3.3218, relative_absolute_error: 0.3943, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2035, root_relative_squared_error: 0.6783, unweighted_recall: 0.7038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9136, f_measure: 0.6663, kappa: 0.631, kb_relative_information_score: 0.6432, mean_absolute_error: 0.082, mean_prior_absolute_error: 0.18, weighted_recall: 0.6679, number_of_instances: 1593, precision: 0.6699, predictive_accuracy: 0.6679, prior_entropy: 3.3218, relative_absolute_error: 0.4554, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2155, root_relative_squared_error: 0.7182, unweighted_recall: 0.6669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8968, f_measure: 0.63, kappa: 0.5898, kb_relative_information_score: 0.602, mean_absolute_error: 0.094, mean_prior_absolute_error: 0.18, weighted_recall: 0.6309, number_of_instances: 1593, precision: 0.6322, predictive_accuracy: 0.6309, prior_entropy: 3.3218, relative_absolute_error: 0.5222, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2272, root_relative_squared_error: 0.7572, unweighted_recall: 0.6301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9101, f_measure: 0.7202, kappa: 0.6896, kb_relative_information_score: 0.7109, mean_absolute_error: 0.0656, mean_prior_absolute_error: 0.18, weighted_recall: 0.7207, number_of_instances: 1593, precision: 0.7231, predictive_accuracy: 0.7207, prior_entropy: 3.3218, relative_absolute_error: 0.3645, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2047, root_relative_squared_error: 0.6822, unweighted_recall: 0.7198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8736, f_measure: 0.7313, kappa: 0.7042, kb_relative_information_score: 0.7396, mean_absolute_error: 0.0529, mean_prior_absolute_error: 0.18, weighted_recall: 0.7338, number_of_instances: 1593, precision: 0.7331, predictive_accuracy: 0.7338, prior_entropy: 3.3218, relative_absolute_error: 0.2938, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2147, root_relative_squared_error: 0.7157, unweighted_recall: 0.7326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9227, f_measure: 0.6997, kappa: 0.6672, kb_relative_information_score: 0.6816, mean_absolute_error: 0.0753, mean_prior_absolute_error: 0.18, weighted_recall: 0.7006, number_of_instances: 1593, precision: 0.7076, predictive_accuracy: 0.7006, prior_entropy: 3.3218, relative_absolute_error: 0.4181, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2084, root_relative_squared_error: 0.6947, unweighted_recall: 0.6996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9108, f_measure: 0.7237, kappa: 0.6938, kb_relative_information_score: 0.725, mean_absolute_error: 0.062, mean_prior_absolute_error: 0.18, weighted_recall: 0.7244, number_of_instances: 1593, precision: 0.7255, predictive_accuracy: 0.7244, prior_entropy: 3.3218, relative_absolute_error: 0.3443, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2016, root_relative_squared_error: 0.672, unweighted_recall: 0.7236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9083, f_measure: 0.6919, kappa: 0.6596, kb_relative_information_score: 0.6775, mean_absolute_error: 0.0747, mean_prior_absolute_error: 0.18, weighted_recall: 0.6937, number_of_instances: 1593, precision: 0.6953, predictive_accuracy: 0.6937, prior_entropy: 3.3218, relative_absolute_error: 0.415, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2104, root_relative_squared_error: 0.7014, unweighted_recall: 0.6926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9105, f_measure: 0.7052, kappa: 0.6735, kb_relative_information_score: 0.6934, mean_absolute_error: 0.0706, mean_prior_absolute_error: 0.18, weighted_recall: 0.7062, number_of_instances: 1593, precision: 0.7059, predictive_accuracy: 0.7062, prior_entropy: 3.3218, relative_absolute_error: 0.3924, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2102, root_relative_squared_error: 0.7006, unweighted_recall: 0.7054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9082, f_measure: 0.7447, kappa: 0.7182, kb_relative_information_score: 0.746, mean_absolute_error: 0.0571, mean_prior_absolute_error: 0.18, weighted_recall: 0.7464, number_of_instances: 1593, precision: 0.748, predictive_accuracy: 0.7464, prior_entropy: 3.3218, relative_absolute_error: 0.3171, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1989, root_relative_squared_error: 0.6631, unweighted_recall: 0.7455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8941, f_measure: 0.7253, kappa: 0.6952, kb_relative_information_score: 0.7172, mean_absolute_error: 0.0619, mean_prior_absolute_error: 0.18, weighted_recall: 0.7257, number_of_instances: 1593, precision: 0.7274, predictive_accuracy: 0.7257, prior_entropy: 3.3218, relative_absolute_error: 0.344, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2091, root_relative_squared_error: 0.6969, unweighted_recall: 0.7247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8954, f_measure: 0.6847, kappa: 0.6498, kb_relative_information_score: 0.6703, mean_absolute_error: 0.0754, mean_prior_absolute_error: 0.18, weighted_recall: 0.6849, number_of_instances: 1593, precision: 0.6862, predictive_accuracy: 0.6849, prior_entropy: 3.3218, relative_absolute_error: 0.4187, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2154, root_relative_squared_error: 0.7181, unweighted_recall: 0.6842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9033, f_measure: 0.6342, kappa: 0.5961, kb_relative_information_score: 0.6281, mean_absolute_error: 0.088, mean_prior_absolute_error: 0.18, weighted_recall: 0.6365, number_of_instances: 1593, precision: 0.6361, predictive_accuracy: 0.6365, prior_entropy: 3.3218, relative_absolute_error: 0.4891, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2235, root_relative_squared_error: 0.7451, unweighted_recall: 0.6356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9101, f_measure: 0.6364, kappa: 0.5989, kb_relative_information_score: 0.6125, mean_absolute_error: 0.0912, mean_prior_absolute_error: 0.18, weighted_recall: 0.639, number_of_instances: 1593, precision: 0.6373, predictive_accuracy: 0.639, prior_entropy: 3.3218, relative_absolute_error: 0.507, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2243, root_relative_squared_error: 0.7476, unweighted_recall: 0.6379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9174, f_measure: 0.673, kappa: 0.6407, kb_relative_information_score: 0.6563, mean_absolute_error: 0.0797, mean_prior_absolute_error: 0.18, weighted_recall: 0.6767, number_of_instances: 1593, precision: 0.6775, predictive_accuracy: 0.6767, prior_entropy: 3.3218, relative_absolute_error: 0.4427, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2102, root_relative_squared_error: 0.7008, unweighted_recall: 0.6755,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6733, kappa: 0.106, kb_relative_information_score: 0.1769, mean_absolute_error: 0.1689, mean_prior_absolute_error: 0.18, weighted_recall: 0.1959, number_of_instances: 1593, predictive_accuracy: 0.1959, prior_entropy: 3.3218, relative_absolute_error: 0.9382, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.291, root_relative_squared_error: 0.9699, unweighted_recall: 0.1947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8654, f_measure: 0.7549, kappa: 0.7307, kb_relative_information_score: 0.7462, mean_absolute_error: 0.0485, mean_prior_absolute_error: 0.18, weighted_recall: 0.7577, number_of_instances: 1593, precision: 0.7547, predictive_accuracy: 0.7577, prior_entropy: 3.3218, relative_absolute_error: 0.2692, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2201, root_relative_squared_error: 0.7338, unweighted_recall: 0.7566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9623, f_measure: 0.797, kappa: 0.7677, kb_relative_information_score: 0.7831, mean_absolute_error: 0.0418, mean_prior_absolute_error: 0.18, weighted_recall: 0.791, number_of_instances: 1593, precision: 0.8377, predictive_accuracy: 0.791, prior_entropy: 3.3218, relative_absolute_error: 0.2322, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2031, root_relative_squared_error: 0.6769, unweighted_recall: 0.7904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8616, f_measure: 0.7488, kappa: 0.7231, kb_relative_information_score: 0.7389, mean_absolute_error: 0.0498, mean_prior_absolute_error: 0.18, weighted_recall: 0.7508, number_of_instances: 1593, precision: 0.748, predictive_accuracy: 0.7508, prior_entropy: 3.3218, relative_absolute_error: 0.2769, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2233, root_relative_squared_error: 0.7442, unweighted_recall: 0.7496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9374, kappa: 0.9302, kb_relative_information_score: 0.9383, mean_absolute_error: 0.0141, mean_prior_absolute_error: 0.18, weighted_recall: 0.9372, number_of_instances: 1593, precision: 0.938, predictive_accuracy: 0.9372, prior_entropy: 3.3218, relative_absolute_error: 0.0784, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0996, root_relative_squared_error: 0.332, unweighted_recall: 0.9371,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8842, f_measure: 0.592, kappa: 0.5493, kb_relative_information_score: 0.443, mean_absolute_error: 0.1348, mean_prior_absolute_error: 0.18, weighted_recall: 0.5945, number_of_instances: 1593, precision: 0.6023, predictive_accuracy: 0.5945, prior_entropy: 3.3218, relative_absolute_error: 0.7488, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2473, root_relative_squared_error: 0.8244, unweighted_recall: 0.5933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9852, f_measure: 0.8842, kappa: 0.8716, kb_relative_information_score: 0.7667, mean_absolute_error: 0.0697, mean_prior_absolute_error: 0.18, weighted_recall: 0.8845, number_of_instances: 1593, precision: 0.8863, predictive_accuracy: 0.8845, prior_entropy: 3.3218, relative_absolute_error: 0.3875, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1591, root_relative_squared_error: 0.5303, unweighted_recall: 0.8839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, f_measure: 0.8686, kappa: 0.8542, kb_relative_information_score: 0.8445, mean_absolute_error: 0.0402, mean_prior_absolute_error: 0.18, weighted_recall: 0.8688, number_of_instances: 1593, precision: 0.8704, predictive_accuracy: 0.8688, prior_entropy: 3.3218, relative_absolute_error: 0.2234, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1508, root_relative_squared_error: 0.5026, unweighted_recall: 0.8681,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.8835, kappa: 0.871, kb_relative_information_score: 0.8364, mean_absolute_error: 0.0476, mean_prior_absolute_error: 0.18, weighted_recall: 0.8839, number_of_instances: 1593, precision: 0.885, predictive_accuracy: 0.8839, prior_entropy: 3.3218, relative_absolute_error: 0.2642, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1417, root_relative_squared_error: 0.4722, unweighted_recall: 0.8832,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.8981, kappa: 0.887, kb_relative_information_score: 0.8896, mean_absolute_error: 0.0263, mean_prior_absolute_error: 0.18, weighted_recall: 0.8983, number_of_instances: 1593, precision: 0.8985, predictive_accuracy: 0.8983, prior_entropy: 3.3218, relative_absolute_error: 0.1461, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1357, root_relative_squared_error: 0.4523, unweighted_recall: 0.8977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, f_measure: 0.8478, kappa: 0.8319, kb_relative_information_score: 0.8295, mean_absolute_error: 0.0405, mean_prior_absolute_error: 0.18, weighted_recall: 0.8487, number_of_instances: 1593, precision: 0.849, predictive_accuracy: 0.8487, prior_entropy: 3.3218, relative_absolute_error: 0.225, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1677, root_relative_squared_error: 0.559, unweighted_recall: 0.8479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9075, kappa: 0.8975, kb_relative_information_score: 0.8919, mean_absolute_error: 0.0287, mean_prior_absolute_error: 0.18, weighted_recall: 0.9077, number_of_instances: 1593, precision: 0.9082, predictive_accuracy: 0.9077, prior_entropy: 3.3218, relative_absolute_error: 0.1593, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.125, root_relative_squared_error: 0.4168, unweighted_recall: 0.9072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.8845, kappa: 0.871, kb_relative_information_score: 0.5995, mean_absolute_error: 0.1148, mean_prior_absolute_error: 0.18, weighted_recall: 0.8839, number_of_instances: 1593, precision: 0.8865, predictive_accuracy: 0.8839, prior_entropy: 3.3218, relative_absolute_error: 0.6376, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2034, root_relative_squared_error: 0.6779, unweighted_recall: 0.8837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9018, kappa: 0.8912, kb_relative_information_score: 0.8918, mean_absolute_error: 0.0268, mean_prior_absolute_error: 0.18, weighted_recall: 0.9021, number_of_instances: 1593, precision: 0.9023, predictive_accuracy: 0.9021, prior_entropy: 3.3218, relative_absolute_error: 0.1488, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1313, root_relative_squared_error: 0.4378, unweighted_recall: 0.9015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9225, kappa: 0.9135, kb_relative_information_score: 0.8171, mean_absolute_error: 0.0598, mean_prior_absolute_error: 0.18, weighted_recall: 0.9222, number_of_instances: 1593, precision: 0.9237, predictive_accuracy: 0.9222, prior_entropy: 3.3218, relative_absolute_error: 0.332, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1345, root_relative_squared_error: 0.4482, unweighted_recall: 0.9219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.8835, kappa: 0.871, kb_relative_information_score: 0.8361, mean_absolute_error: 0.0477, mean_prior_absolute_error: 0.18, weighted_recall: 0.8839, number_of_instances: 1593, precision: 0.885, predictive_accuracy: 0.8839, prior_entropy: 3.3218, relative_absolute_error: 0.2649, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1416, root_relative_squared_error: 0.472, unweighted_recall: 0.8832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, f_measure: 0.8478, kappa: 0.8319, kb_relative_information_score: 0.8295, mean_absolute_error: 0.0405, mean_prior_absolute_error: 0.18, weighted_recall: 0.8487, number_of_instances: 1593, precision: 0.849, predictive_accuracy: 0.8487, prior_entropy: 3.3218, relative_absolute_error: 0.225, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1677, root_relative_squared_error: 0.559, unweighted_recall: 0.8479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9153, kappa: 0.9058, kb_relative_information_score: 0.9168, mean_absolute_error: 0.0189, mean_prior_absolute_error: 0.18, weighted_recall: 0.9153, number_of_instances: 1593, precision: 0.916, predictive_accuracy: 0.9153, prior_entropy: 3.3218, relative_absolute_error: 0.105, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1146, root_relative_squared_error: 0.3819, unweighted_recall: 0.9149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.9154, kappa: 0.9058, kb_relative_information_score: 0.9173, mean_absolute_error: 0.0205, mean_prior_absolute_error: 0.18, weighted_recall: 0.9153, number_of_instances: 1593, precision: 0.9161, predictive_accuracy: 0.9153, prior_entropy: 3.3218, relative_absolute_error: 0.1139, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1095, root_relative_squared_error: 0.3651, unweighted_recall: 0.9149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.9243, kappa: 0.9156, kb_relative_information_score: 0.8533, mean_absolute_error: 0.0463, mean_prior_absolute_error: 0.18, weighted_recall: 0.924, number_of_instances: 1593, precision: 0.9252, predictive_accuracy: 0.924, prior_entropy: 3.3218, relative_absolute_error: 0.2572, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1204, root_relative_squared_error: 0.4014, unweighted_recall: 0.9238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.9242, kappa: 0.9156, kb_relative_information_score: 0.9077, mean_absolute_error: 0.0261, mean_prior_absolute_error: 0.18, weighted_recall: 0.924, number_of_instances: 1593, precision: 0.9248, predictive_accuracy: 0.924, prior_entropy: 3.3218, relative_absolute_error: 0.145, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1064, root_relative_squared_error: 0.3547, unweighted_recall: 0.9238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9075, kappa: 0.8975, kb_relative_information_score: 0.8919, mean_absolute_error: 0.0287, mean_prior_absolute_error: 0.18, weighted_recall: 0.9077, number_of_instances: 1593, precision: 0.9082, predictive_accuracy: 0.9077, prior_entropy: 3.3218, relative_absolute_error: 0.1593, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.125, root_relative_squared_error: 0.4168, unweighted_recall: 0.9072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.8835, kappa: 0.871, kb_relative_information_score: 0.8361, mean_absolute_error: 0.0477, mean_prior_absolute_error: 0.18, weighted_recall: 0.8839, number_of_instances: 1593, precision: 0.885, predictive_accuracy: 0.8839, prior_entropy: 3.3218, relative_absolute_error: 0.2649, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1416, root_relative_squared_error: 0.472, unweighted_recall: 0.8832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.8835, kappa: 0.871, kb_relative_information_score: 0.8361, mean_absolute_error: 0.0477, mean_prior_absolute_error: 0.18, weighted_recall: 0.8839, number_of_instances: 1593, precision: 0.885, predictive_accuracy: 0.8839, prior_entropy: 3.3218, relative_absolute_error: 0.2649, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1416, root_relative_squared_error: 0.472, unweighted_recall: 0.8832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.8835, kappa: 0.871, kb_relative_information_score: 0.8361, mean_absolute_error: 0.0477, mean_prior_absolute_error: 0.18, weighted_recall: 0.8839, number_of_instances: 1593, precision: 0.885, predictive_accuracy: 0.8839, prior_entropy: 3.3218, relative_absolute_error: 0.2649, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1416, root_relative_squared_error: 0.472, unweighted_recall: 0.8832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9225, kappa: 0.9135, kb_relative_information_score: 0.8171, mean_absolute_error: 0.0598, mean_prior_absolute_error: 0.18, weighted_recall: 0.9222, number_of_instances: 1593, precision: 0.9237, predictive_accuracy: 0.9222, prior_entropy: 3.3218, relative_absolute_error: 0.332, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1345, root_relative_squared_error: 0.4482, unweighted_recall: 0.9219,

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

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Use one of our APIs to download data from OpenML and upload your results

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