Task
Supervised Classification on qsar-biodeg

Supervised Classification on qsar-biodeg

Task 9957 Supervised Classification qsar-biodeg 149823 runs submitted
0 likes downloaded by 2 people , 2 total downloads 0 issues
Visibility: Public
  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_7 study_98 study_99
Issue #Downvotes for this reason By


Metric:

149823 Runs

Fetching data
Note: Chart is limited to the 100 best flows, and the 100 best runs for each flow.
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8392, f_measure: 0.8646, kappa: 0.6942, kb_relative_information_score: 0.6869, mean_absolute_error: 0.1336, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8648, predictive_accuracy: 0.8664, prior_entropy: 0.9223, recall: 0.8664, relative_absolute_error: 0.2988, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3656, root_relative_squared_error: 0.7732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5378, f_measure: 0.5869, kappa: 0.0968, kb_relative_information_score: 0.2606, mean_absolute_error: 0.3156, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7188, predictive_accuracy: 0.6844, prior_entropy: 0.9223, recall: 0.6844, relative_absolute_error: 0.7057, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.5618, root_relative_squared_error: 1.1882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7312, f_measure: 0.7866, kappa: 0.5095, kb_relative_information_score: 0.5337, mean_absolute_error: 0.1991, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8054, predictive_accuracy: 0.8009, prior_entropy: 0.9223, recall: 0.8009, relative_absolute_error: 0.4451, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4462, root_relative_squared_error: 0.9436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7495, f_measure: 0.801, kappa: 0.5431, kb_relative_information_score: 0.5604, mean_absolute_error: 0.1877, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8152, predictive_accuracy: 0.8123, prior_entropy: 0.9223, recall: 0.8123, relative_absolute_error: 0.4196, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4332, root_relative_squared_error: 0.9162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8602, f_measure: 0.8798, kappa: 0.7295, kb_relative_information_score: 0.7202, mean_absolute_error: 0.1194, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8796, predictive_accuracy: 0.8806, prior_entropy: 0.9223, recall: 0.8806, relative_absolute_error: 0.267, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3456, root_relative_squared_error: 0.7309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.856, f_measure: 0.876, kappa: 0.721, kb_relative_information_score: 0.7114, mean_absolute_error: 0.1232, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8757, predictive_accuracy: 0.8768, prior_entropy: 0.9223, recall: 0.8768, relative_absolute_error: 0.2755, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.351, root_relative_squared_error: 0.7424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8694, f_measure: 0.8867, kappa: 0.7455, kb_relative_information_score: 0.7358, mean_absolute_error: 0.1128, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8864, predictive_accuracy: 0.8872, prior_entropy: 0.9223, recall: 0.8872, relative_absolute_error: 0.2522, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3359, root_relative_squared_error: 0.7103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2096, mean_absolute_error: 0.3374, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9223, recall: 0.6626, relative_absolute_error: 0.7545, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.5809, root_relative_squared_error: 1.2285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2096, mean_absolute_error: 0.3374, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9223, recall: 0.6626, relative_absolute_error: 0.7545, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.5809, root_relative_squared_error: 1.2285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.753, f_measure: 0.8035, kappa: 0.5491, kb_relative_information_score: 0.5648, mean_absolute_error: 0.1858, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8165, predictive_accuracy: 0.8142, prior_entropy: 0.9223, recall: 0.8142, relative_absolute_error: 0.4154, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.431, root_relative_squared_error: 0.9116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8652, f_measure: 0.8829, kappa: 0.7369, kb_relative_information_score: 0.7269, mean_absolute_error: 0.1166, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8826, predictive_accuracy: 0.8834, prior_entropy: 0.9223, recall: 0.8834, relative_absolute_error: 0.2607, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3414, root_relative_squared_error: 0.7221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2096, mean_absolute_error: 0.3374, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9223, recall: 0.6626, relative_absolute_error: 0.7545, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.5809, root_relative_squared_error: 1.2285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8321, f_measure: 0.8588, kappa: 0.6807, kb_relative_information_score: 0.6736, mean_absolute_error: 0.1393, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.859, predictive_accuracy: 0.8607, prior_entropy: 0.9223, recall: 0.8607, relative_absolute_error: 0.3115, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3733, root_relative_squared_error: 0.7894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5084, f_measure: 0.5411, kappa: 0.0222, kb_relative_information_score: 0.2229, mean_absolute_error: 0.3318, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7789, predictive_accuracy: 0.6682, prior_entropy: 0.9223, recall: 0.6682, relative_absolute_error: 0.7418, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.576, root_relative_squared_error: 1.2181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8546, f_measure: 0.8733, kappa: 0.7155, kb_relative_information_score: 0.7047, mean_absolute_error: 0.1261, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.873, predictive_accuracy: 0.8739, prior_entropy: 0.9223, recall: 0.8739, relative_absolute_error: 0.2819, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3551, root_relative_squared_error: 0.7509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5413, f_measure: 0.5919, kappa: 0.1054, kb_relative_information_score: 0.2651, mean_absolute_error: 0.3137, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7186, predictive_accuracy: 0.6863, prior_entropy: 0.9223, recall: 0.6863, relative_absolute_error: 0.7015, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.5601, root_relative_squared_error: 1.1846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8701, f_measure: 0.8859, kappa: 0.7442, kb_relative_information_score: 0.7336, mean_absolute_error: 0.1137, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8857, predictive_accuracy: 0.8863, prior_entropy: 0.9223, recall: 0.8863, relative_absolute_error: 0.2543, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3373, root_relative_squared_error: 0.7133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8469, f_measure: 0.869, kappa: 0.7049, kb_relative_information_score: 0.6958, mean_absolute_error: 0.1299, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8688, predictive_accuracy: 0.8701, prior_entropy: 0.9223, recall: 0.8701, relative_absolute_error: 0.2903, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3604, root_relative_squared_error: 0.7621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5035, f_measure: 0.5342, kappa: 0.0092, kb_relative_information_score: 0.214, mean_absolute_error: 0.3355, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.6931, predictive_accuracy: 0.6645, prior_entropy: 0.9223, recall: 0.6645, relative_absolute_error: 0.7502, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.5793, root_relative_squared_error: 1.2251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2743, f_measure: 0.3509, kappa: -0.4511, kb_relative_information_score: -0.5209, mean_absolute_error: 0.6493, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.3512, predictive_accuracy: 0.3507, prior_entropy: 0.9223, recall: 0.3507, relative_absolute_error: 1.4517, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.8058, root_relative_squared_error: 1.7042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8651, f_measure: 0.8812, kappa: 0.7337, kb_relative_information_score: 0.7225, mean_absolute_error: 0.1185, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.881, predictive_accuracy: 0.8815, prior_entropy: 0.9223, recall: 0.8815, relative_absolute_error: 0.2649, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3442, root_relative_squared_error: 0.728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8693, f_measure: 0.8834, kappa: 0.7391, kb_relative_information_score: 0.7269, mean_absolute_error: 0.1166, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8833, predictive_accuracy: 0.8834, prior_entropy: 0.9223, recall: 0.8834, relative_absolute_error: 0.2607, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3414, root_relative_squared_error: 0.7221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8435, f_measure: 0.8701, kappa: 0.7059, kb_relative_information_score: 0.7003, mean_absolute_error: 0.128, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8708, predictive_accuracy: 0.872, prior_entropy: 0.9223, recall: 0.872, relative_absolute_error: 0.2861, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3577, root_relative_squared_error: 0.7565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8622, f_measure: 0.8751, kappa: 0.7213, kb_relative_information_score: 0.7069, mean_absolute_error: 0.1251, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8754, predictive_accuracy: 0.8749, prior_entropy: 0.9223, recall: 0.8749, relative_absolute_error: 0.2798, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3537, root_relative_squared_error: 0.7481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8489, f_measure: 0.8677, kappa: 0.7031, kb_relative_information_score: 0.6914, mean_absolute_error: 0.1318, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8674, predictive_accuracy: 0.8682, prior_entropy: 0.9223, recall: 0.8682, relative_absolute_error: 0.2946, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.363, root_relative_squared_error: 0.7677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7585, f_measure: 0.7875, kappa: 0.5223, kb_relative_information_score: 0.5049, mean_absolute_error: 0.2114, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7867, predictive_accuracy: 0.7886, prior_entropy: 0.9223, recall: 0.7886, relative_absolute_error: 0.4726, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4598, root_relative_squared_error: 0.9723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8524, f_measure: 0.8714, kappa: 0.7112, kb_relative_information_score: 0.7003, mean_absolute_error: 0.128, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8711, predictive_accuracy: 0.872, prior_entropy: 0.9223, recall: 0.872, relative_absolute_error: 0.2861, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3577, root_relative_squared_error: 0.7565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8553, f_measure: 0.8751, kappa: 0.719, kb_relative_information_score: 0.7091, mean_absolute_error: 0.1242, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8748, predictive_accuracy: 0.8758, prior_entropy: 0.9223, recall: 0.8758, relative_absolute_error: 0.2776, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3524, root_relative_squared_error: 0.7452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8588, f_measure: 0.878, kappa: 0.7256, kb_relative_information_score: 0.7158, mean_absolute_error: 0.1213, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8777, predictive_accuracy: 0.8787, prior_entropy: 0.9223, recall: 0.8787, relative_absolute_error: 0.2713, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3483, root_relative_squared_error: 0.7367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8644, f_measure: 0.882, kappa: 0.735, kb_relative_information_score: 0.7247, mean_absolute_error: 0.1175, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8817, predictive_accuracy: 0.8825, prior_entropy: 0.9223, recall: 0.8825, relative_absolute_error: 0.2628, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3428, root_relative_squared_error: 0.7251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7264, f_measure: 0.7838, kappa: 0.5031, kb_relative_information_score: 0.5315, mean_absolute_error: 0.2, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8075, predictive_accuracy: 0.8, prior_entropy: 0.9223, recall: 0.8, relative_absolute_error: 0.4472, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4472, root_relative_squared_error: 0.9458,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8489, f_measure: 0.8685, kappa: 0.7046, kb_relative_information_score: 0.6936, mean_absolute_error: 0.1308, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8682, predictive_accuracy: 0.8692, prior_entropy: 0.9223, recall: 0.8692, relative_absolute_error: 0.2925, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3617, root_relative_squared_error: 0.7649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8552, f_measure: 0.8734, kappa: 0.7159, kb_relative_information_score: 0.7047, mean_absolute_error: 0.1261, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8731, predictive_accuracy: 0.8739, prior_entropy: 0.9223, recall: 0.8739, relative_absolute_error: 0.2819, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3551, root_relative_squared_error: 0.7509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8673, f_measure: 0.8848, kappa: 0.7412, kb_relative_information_score: 0.7313, mean_absolute_error: 0.1147, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8845, predictive_accuracy: 0.8853, prior_entropy: 0.9223, recall: 0.8853, relative_absolute_error: 0.2564, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3387, root_relative_squared_error: 0.7162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8524, f_measure: 0.8714, kappa: 0.7112, kb_relative_information_score: 0.7003, mean_absolute_error: 0.128, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8711, predictive_accuracy: 0.872, prior_entropy: 0.9223, recall: 0.872, relative_absolute_error: 0.2861, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3577, root_relative_squared_error: 0.7565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8532, f_measure: 0.874, kappa: 0.7163, kb_relative_information_score: 0.7069, mean_absolute_error: 0.1251, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8737, predictive_accuracy: 0.8749, prior_entropy: 0.9223, recall: 0.8749, relative_absolute_error: 0.2798, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3537, root_relative_squared_error: 0.7481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8431, f_measure: 0.8581, kappa: 0.6833, kb_relative_information_score: 0.667, mean_absolute_error: 0.1422, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8585, predictive_accuracy: 0.8578, prior_entropy: 0.9223, recall: 0.8578, relative_absolute_error: 0.3179, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3771, root_relative_squared_error: 0.7975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7298, f_measure: 0.7854, kappa: 0.5068, kb_relative_information_score: 0.5315, mean_absolute_error: 0.2, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8045, predictive_accuracy: 0.8, prior_entropy: 0.9223, recall: 0.8, relative_absolute_error: 0.4472, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4472, root_relative_squared_error: 0.9458,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.836, f_measure: 0.8507, kappa: 0.6674, kb_relative_information_score: 0.6492, mean_absolute_error: 0.1498, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8514, predictive_accuracy: 0.8502, prior_entropy: 0.9223, recall: 0.8502, relative_absolute_error: 0.3349, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.387, root_relative_squared_error: 0.8184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7103, f_measure: 0.7707, kappa: 0.4731, kb_relative_information_score: 0.5093, mean_absolute_error: 0.2095, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8009, predictive_accuracy: 0.7905, prior_entropy: 0.9223, recall: 0.7905, relative_absolute_error: 0.4684, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4577, root_relative_squared_error: 0.968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8047, f_measure: 0.836, kappa: 0.6284, kb_relative_information_score: 0.6225, mean_absolute_error: 0.1611, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8364, predictive_accuracy: 0.8389, prior_entropy: 0.9223, recall: 0.8389, relative_absolute_error: 0.3603, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4014, root_relative_squared_error: 0.849,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8517, f_measure: 0.8705, kappa: 0.7093, kb_relative_information_score: 0.698, mean_absolute_error: 0.1289, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8702, predictive_accuracy: 0.8711, prior_entropy: 0.9223, recall: 0.8711, relative_absolute_error: 0.2882, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.359, root_relative_squared_error: 0.7593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8531, f_measure: 0.8723, kappa: 0.7132, kb_relative_information_score: 0.7025, mean_absolute_error: 0.127, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.872, predictive_accuracy: 0.873, prior_entropy: 0.9223, recall: 0.873, relative_absolute_error: 0.284, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3564, root_relative_squared_error: 0.7537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8531, f_measure: 0.8723, kappa: 0.7132, kb_relative_information_score: 0.7025, mean_absolute_error: 0.127, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.872, predictive_accuracy: 0.873, prior_entropy: 0.9223, recall: 0.873, relative_absolute_error: 0.284, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3564, root_relative_squared_error: 0.7537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7912, f_measure: 0.8221, kappa: 0.5976, kb_relative_information_score: 0.5892, mean_absolute_error: 0.1754, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8218, predictive_accuracy: 0.8246, prior_entropy: 0.9223, recall: 0.8246, relative_absolute_error: 0.3921, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4188, root_relative_squared_error: 0.8856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7173, f_measure: 0.7763, kappa: 0.4858, kb_relative_information_score: 0.5182, mean_absolute_error: 0.2057, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8029, predictive_accuracy: 0.7943, prior_entropy: 0.9223, recall: 0.7943, relative_absolute_error: 0.4599, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4535, root_relative_squared_error: 0.9592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6787, f_measure: 0.7434, kappa: 0.4117, kb_relative_information_score: 0.4649, mean_absolute_error: 0.2284, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7881, predictive_accuracy: 0.7716, prior_entropy: 0.9223, recall: 0.7716, relative_absolute_error: 0.5108, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4779, root_relative_squared_error: 1.0108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7229, f_measure: 0.7811, kappa: 0.4968, kb_relative_information_score: 0.5271, mean_absolute_error: 0.2019, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8064, predictive_accuracy: 0.7981, prior_entropy: 0.9223, recall: 0.7981, relative_absolute_error: 0.4514, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4493, root_relative_squared_error: 0.9503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7368, f_measure: 0.7907, kappa: 0.5191, kb_relative_information_score: 0.5404, mean_absolute_error: 0.1962, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8071, predictive_accuracy: 0.8038, prior_entropy: 0.9223, recall: 0.8038, relative_absolute_error: 0.4387, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.443, root_relative_squared_error: 0.9368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8395, f_measure: 0.8544, kappa: 0.6753, kb_relative_information_score: 0.6581, mean_absolute_error: 0.146, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8549, predictive_accuracy: 0.854, prior_entropy: 0.9223, recall: 0.854, relative_absolute_error: 0.3264, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3821, root_relative_squared_error: 0.808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7578, f_measure: 0.8059, kappa: 0.5551, kb_relative_information_score: 0.567, mean_absolute_error: 0.1848, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8156, predictive_accuracy: 0.8152, prior_entropy: 0.9223, recall: 0.8152, relative_absolute_error: 0.4133, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4299, root_relative_squared_error: 0.9092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8497, f_measure: 0.8702, kappa: 0.7081, kb_relative_information_score: 0.698, mean_absolute_error: 0.1289, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8699, predictive_accuracy: 0.8711, prior_entropy: 0.9223, recall: 0.8711, relative_absolute_error: 0.2882, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.359, root_relative_squared_error: 0.7593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8483, f_measure: 0.87, kappa: 0.7073, kb_relative_information_score: 0.698, mean_absolute_error: 0.1289, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8698, predictive_accuracy: 0.8711, prior_entropy: 0.9223, recall: 0.8711, relative_absolute_error: 0.2882, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.359, root_relative_squared_error: 0.7593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.792, f_measure: 0.8266, kappa: 0.6062, kb_relative_information_score: 0.6026, mean_absolute_error: 0.1697, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8276, predictive_accuracy: 0.8303, prior_entropy: 0.9223, recall: 0.8303, relative_absolute_error: 0.3794, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4119, root_relative_squared_error: 0.8711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8473, f_measure: 0.8611, kappa: 0.6903, kb_relative_information_score: 0.6736, mean_absolute_error: 0.1393, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8616, predictive_accuracy: 0.8607, prior_entropy: 0.9223, recall: 0.8607, relative_absolute_error: 0.3115, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3733, root_relative_squared_error: 0.7894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8167, f_measure: 0.8475, kappa: 0.6541, kb_relative_information_score: 0.6492, mean_absolute_error: 0.1498, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8483, predictive_accuracy: 0.8502, prior_entropy: 0.9223, recall: 0.8502, relative_absolute_error: 0.3349, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.387, root_relative_squared_error: 0.8184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8504, f_measure: 0.8719, kappa: 0.7116, kb_relative_information_score: 0.7025, mean_absolute_error: 0.127, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8717, predictive_accuracy: 0.873, prior_entropy: 0.9223, recall: 0.873, relative_absolute_error: 0.284, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3564, root_relative_squared_error: 0.7537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.802, f_measure: 0.8376, kappa: 0.6305, kb_relative_information_score: 0.6292, mean_absolute_error: 0.1583, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.84, predictive_accuracy: 0.8417, prior_entropy: 0.9223, recall: 0.8417, relative_absolute_error: 0.3539, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3979, root_relative_squared_error: 0.8414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.797, f_measure: 0.8335, kappa: 0.6211, kb_relative_information_score: 0.6203, mean_absolute_error: 0.1621, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8361, predictive_accuracy: 0.8379, prior_entropy: 0.9223, recall: 0.8379, relative_absolute_error: 0.3624, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4026, root_relative_squared_error: 0.8515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8511, f_measure: 0.872, kappa: 0.712, kb_relative_information_score: 0.7025, mean_absolute_error: 0.127, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8718, predictive_accuracy: 0.873, prior_entropy: 0.9223, recall: 0.873, relative_absolute_error: 0.284, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3564, root_relative_squared_error: 0.7537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5336, f_measure: 0.5812, kappa: 0.0862, kb_relative_information_score: 0.254, mean_absolute_error: 0.3185, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7117, predictive_accuracy: 0.6815, prior_entropy: 0.9223, recall: 0.6815, relative_absolute_error: 0.7121, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.5643, root_relative_squared_error: 1.1935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8462, f_measure: 0.8689, kappa: 0.7045, kb_relative_information_score: 0.6958, mean_absolute_error: 0.1299, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8688, predictive_accuracy: 0.8701, prior_entropy: 0.9223, recall: 0.8701, relative_absolute_error: 0.2903, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3604, root_relative_squared_error: 0.7621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8189, f_measure: 0.8509, kappa: 0.6614, kb_relative_information_score: 0.6581, mean_absolute_error: 0.146, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8525, predictive_accuracy: 0.854, prior_entropy: 0.9223, recall: 0.854, relative_absolute_error: 0.3264, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3821, root_relative_squared_error: 0.808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8374, f_measure: 0.8525, kappa: 0.6711, kb_relative_information_score: 0.6536, mean_absolute_error: 0.1479, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.853, predictive_accuracy: 0.8521, prior_entropy: 0.9223, recall: 0.8521, relative_absolute_error: 0.3306, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3845, root_relative_squared_error: 0.8133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8326, f_measure: 0.851, kappa: 0.6665, kb_relative_information_score: 0.6514, mean_absolute_error: 0.1488, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8509, predictive_accuracy: 0.8512, prior_entropy: 0.9223, recall: 0.8512, relative_absolute_error: 0.3327, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3858, root_relative_squared_error: 0.8159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8567, f_measure: 0.8769, kappa: 0.7229, kb_relative_information_score: 0.7136, mean_absolute_error: 0.1223, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8766, predictive_accuracy: 0.8777, prior_entropy: 0.9223, recall: 0.8777, relative_absolute_error: 0.2734, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3497, root_relative_squared_error: 0.7395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8581, f_measure: 0.8771, kappa: 0.7237, kb_relative_information_score: 0.7136, mean_absolute_error: 0.1223, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8768, predictive_accuracy: 0.8777, prior_entropy: 0.9223, recall: 0.8777, relative_absolute_error: 0.2734, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3497, root_relative_squared_error: 0.7395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8513, f_measure: 0.8777, kappa: 0.723, kb_relative_information_score: 0.718, mean_absolute_error: 0.1204, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8787, predictive_accuracy: 0.8796, prior_entropy: 0.9223, recall: 0.8796, relative_absolute_error: 0.2692, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.347, root_relative_squared_error: 0.7338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8441, f_measure: 0.8678, kappa: 0.7017, kb_relative_information_score: 0.6936, mean_absolute_error: 0.1308, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8678, predictive_accuracy: 0.8692, prior_entropy: 0.9223, recall: 0.8692, relative_absolute_error: 0.2925, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3617, root_relative_squared_error: 0.7649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8617, f_measure: 0.8816, kappa: 0.7335, kb_relative_information_score: 0.7247, mean_absolute_error: 0.1175, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8814, predictive_accuracy: 0.8825, prior_entropy: 0.9223, recall: 0.8825, relative_absolute_error: 0.2628, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3428, root_relative_squared_error: 0.7251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7615, f_measure: 0.7945, kappa: 0.5355, kb_relative_information_score: 0.5249, mean_absolute_error: 0.2028, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7936, predictive_accuracy: 0.7972, prior_entropy: 0.9223, recall: 0.7972, relative_absolute_error: 0.4535, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4504, root_relative_squared_error: 0.9525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2096, mean_absolute_error: 0.3374, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9223, recall: 0.6626, relative_absolute_error: 0.7545, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.5809, root_relative_squared_error: 1.2285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8575, f_measure: 0.8794, kappa: 0.728, kb_relative_information_score: 0.7202, mean_absolute_error: 0.1194, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8794, predictive_accuracy: 0.8806, prior_entropy: 0.9223, recall: 0.8806, relative_absolute_error: 0.267, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3456, root_relative_squared_error: 0.7309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8555, f_measure: 0.8799, kappa: 0.7285, kb_relative_information_score: 0.7225, mean_absolute_error: 0.1185, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8805, predictive_accuracy: 0.8815, prior_entropy: 0.9223, recall: 0.8815, relative_absolute_error: 0.2649, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3442, root_relative_squared_error: 0.728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5516, f_measure: 0.5904, kappa: 0.1001, kb_relative_information_score: 0.0275, mean_absolute_error: 0.4152, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.598, predictive_accuracy: 0.5848, prior_entropy: 0.9223, recall: 0.5848, relative_absolute_error: 0.9283, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.6443, root_relative_squared_error: 1.3627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7621, f_measure: 0.7932, kappa: 0.5338, kb_relative_information_score: 0.5204, mean_absolute_error: 0.2047, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7923, predictive_accuracy: 0.7953, prior_entropy: 0.9223, recall: 0.7953, relative_absolute_error: 0.4578, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4525, root_relative_squared_error: 0.957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8434, f_measure: 0.8685, kappa: 0.7028, kb_relative_information_score: 0.6958, mean_absolute_error: 0.1299, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8687, predictive_accuracy: 0.8701, prior_entropy: 0.9223, recall: 0.8701, relative_absolute_error: 0.2903, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3604, root_relative_squared_error: 0.7621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6176, f_measure: 0.6555, kappa: 0.2331, kb_relative_information_score: 0.1896, mean_absolute_error: 0.346, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.6572, predictive_accuracy: 0.654, prior_entropy: 0.9223, recall: 0.654, relative_absolute_error: 0.7736, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.5882, root_relative_squared_error: 1.244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8609, f_measure: 0.8799, kappa: 0.7299, kb_relative_information_score: 0.7202, mean_absolute_error: 0.1194, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8796, predictive_accuracy: 0.8806, prior_entropy: 0.9223, recall: 0.8806, relative_absolute_error: 0.267, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3456, root_relative_squared_error: 0.7309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8208, f_measure: 0.8467, kappa: 0.6542, kb_relative_information_score: 0.6448, mean_absolute_error: 0.1517, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8464, predictive_accuracy: 0.8483, prior_entropy: 0.9223, recall: 0.8483, relative_absolute_error: 0.3391, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3894, root_relative_squared_error: 0.8236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8207, f_measure: 0.846, kappa: 0.6527, kb_relative_information_score: 0.6425, mean_absolute_error: 0.1526, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8456, predictive_accuracy: 0.8474, prior_entropy: 0.9223, recall: 0.8474, relative_absolute_error: 0.3412, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3906, root_relative_squared_error: 0.8262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8525, f_measure: 0.8722, kappa: 0.7128, kb_relative_information_score: 0.7025, mean_absolute_error: 0.127, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8719, predictive_accuracy: 0.873, prior_entropy: 0.9223, recall: 0.873, relative_absolute_error: 0.284, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3564, root_relative_squared_error: 0.7537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8131, f_measure: 0.8437, kappa: 0.6459, kb_relative_information_score: 0.6403, mean_absolute_error: 0.1536, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8443, predictive_accuracy: 0.8464, prior_entropy: 0.9223, recall: 0.8464, relative_absolute_error: 0.3433, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3919, root_relative_squared_error: 0.8287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8452, f_measure: 0.8592, kappa: 0.6861, kb_relative_information_score: 0.6692, mean_absolute_error: 0.1412, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8597, predictive_accuracy: 0.8588, prior_entropy: 0.9223, recall: 0.8588, relative_absolute_error: 0.3158, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3758, root_relative_squared_error: 0.7948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8494, f_measure: 0.8638, kappa: 0.696, kb_relative_information_score: 0.6803, mean_absolute_error: 0.1365, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8641, predictive_accuracy: 0.8635, prior_entropy: 0.9223, recall: 0.8635, relative_absolute_error: 0.3052, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3694, root_relative_squared_error: 0.7813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8635, f_measure: 0.8753, kappa: 0.7221, kb_relative_information_score: 0.7069, mean_absolute_error: 0.1251, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8759, predictive_accuracy: 0.8749, prior_entropy: 0.9223, recall: 0.8749, relative_absolute_error: 0.2798, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3537, root_relative_squared_error: 0.7481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8074, f_measure: 0.8174, kappa: 0.598, kb_relative_information_score: 0.567, mean_absolute_error: 0.1848, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8222, predictive_accuracy: 0.8152, prior_entropy: 0.9223, recall: 0.8152, relative_absolute_error: 0.4133, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4299, root_relative_squared_error: 0.9092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.739, f_measure: 0.7581, kappa: 0.4663, kb_relative_information_score: 0.4272, mean_absolute_error: 0.2445, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7625, predictive_accuracy: 0.7555, prior_entropy: 0.9223, recall: 0.7555, relative_absolute_error: 0.5468, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4945, root_relative_squared_error: 1.0459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8532, f_measure: 0.8731, kappa: 0.7147, kb_relative_information_score: 0.7047, mean_absolute_error: 0.1261, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8729, predictive_accuracy: 0.8739, prior_entropy: 0.9223, recall: 0.8739, relative_absolute_error: 0.2819, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3551, root_relative_squared_error: 0.7509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7758, f_measure: 0.8127, kappa: 0.5741, kb_relative_information_score: 0.5715, mean_absolute_error: 0.1829, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8137, predictive_accuracy: 0.8171, prior_entropy: 0.9223, recall: 0.8171, relative_absolute_error: 0.409, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4277, root_relative_squared_error: 0.9046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8363, f_measure: 0.8618, kappa: 0.6879, kb_relative_information_score: 0.6803, mean_absolute_error: 0.1365, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8619, predictive_accuracy: 0.8635, prior_entropy: 0.9223, recall: 0.8635, relative_absolute_error: 0.3052, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3694, root_relative_squared_error: 0.7813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7821, f_measure: 0.8171, kappa: 0.5848, kb_relative_information_score: 0.5804, mean_absolute_error: 0.1791, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8177, predictive_accuracy: 0.8209, prior_entropy: 0.9223, recall: 0.8209, relative_absolute_error: 0.4006, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4233, root_relative_squared_error: 0.8951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7955, f_measure: 0.8281, kappa: 0.6103, kb_relative_information_score: 0.6048, mean_absolute_error: 0.1687, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8286, predictive_accuracy: 0.8313, prior_entropy: 0.9223, recall: 0.8313, relative_absolute_error: 0.3772, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4108, root_relative_squared_error: 0.8687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.771, f_measure: 0.8114, kappa: 0.5698, kb_relative_information_score: 0.5715, mean_absolute_error: 0.1829, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8142, predictive_accuracy: 0.8171, prior_entropy: 0.9223, recall: 0.8171, relative_absolute_error: 0.409, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4277, root_relative_squared_error: 0.9046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8286, f_measure: 0.8558, kappa: 0.6739, kb_relative_information_score: 0.667, mean_absolute_error: 0.1422, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8561, predictive_accuracy: 0.8578, prior_entropy: 0.9223, recall: 0.8578, relative_absolute_error: 0.3179, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3771, root_relative_squared_error: 0.7975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8131, f_measure: 0.8415, kappa: 0.6416, kb_relative_information_score: 0.6337, mean_absolute_error: 0.1564, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8414, predictive_accuracy: 0.8436, prior_entropy: 0.9223, recall: 0.8436, relative_absolute_error: 0.3497, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3955, root_relative_squared_error: 0.8364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8145, f_measure: 0.8425, kappa: 0.644, kb_relative_information_score: 0.6359, mean_absolute_error: 0.1555, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8424, predictive_accuracy: 0.8445, prior_entropy: 0.9223, recall: 0.8445, relative_absolute_error: 0.3476, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3943, root_relative_squared_error: 0.8338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7653, f_measure: 0.8057, kappa: 0.5571, kb_relative_information_score: 0.5582, mean_absolute_error: 0.1886, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.808, predictive_accuracy: 0.8114, prior_entropy: 0.9223, recall: 0.8114, relative_absolute_error: 0.4217, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4343, root_relative_squared_error: 0.9185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8229, f_measure: 0.8502, kappa: 0.6614, kb_relative_information_score: 0.6536, mean_absolute_error: 0.1479, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8502, predictive_accuracy: 0.8521, prior_entropy: 0.9223, recall: 0.8521, relative_absolute_error: 0.3306, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3845, root_relative_squared_error: 0.8133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8511, f_measure: 0.8712, kappa: 0.7104, kb_relative_information_score: 0.7003, mean_absolute_error: 0.128, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8709, predictive_accuracy: 0.872, prior_entropy: 0.9223, recall: 0.872, relative_absolute_error: 0.2861, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3577, root_relative_squared_error: 0.7565,

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