Task
Supervised Classification on qsar-biodeg

Supervised Classification on qsar-biodeg

Task 9957 Supervised Classification qsar-biodeg 149823 runs submitted
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  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_7 study_98 study_99
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149823 Runs

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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: 0.5982, f_measure: 0.662, kappa: 0.2408, kb_relative_information_score: 0.3517, mean_absolute_error: 0.2768, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7621, predictive_accuracy: 0.7232, prior_entropy: 0.9223, recall: 0.7232, relative_absolute_error: 0.6188, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.5261, root_relative_squared_error: 1.1126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6728, f_measure: 0.7066, kappa: 0.3447, kb_relative_information_score: 0.3117, mean_absolute_error: 0.2938, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.707, predictive_accuracy: 0.7062, prior_entropy: 0.9223, recall: 0.7062, relative_absolute_error: 0.657, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.5421, root_relative_squared_error: 1.1464,
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: 0.528, f_measure: 0.5718, kappa: 0.0726, kb_relative_information_score: 0.2495, mean_absolute_error: 0.3204, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.733, predictive_accuracy: 0.6796, prior_entropy: 0.9223, recall: 0.6796, relative_absolute_error: 0.7163, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.566, root_relative_squared_error: 1.1971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8467, f_measure: 0.8642, kappa: 0.6958, kb_relative_information_score: 0.6825, mean_absolute_error: 0.1355, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.864, predictive_accuracy: 0.8645, prior_entropy: 0.9223, recall: 0.8645, relative_absolute_error: 0.3031, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3682, root_relative_squared_error: 0.7786,
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: 0.8165, f_measure: 0.8414, kappa: 0.6427, kb_relative_information_score: 0.6314, mean_absolute_error: 0.1573, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8409, predictive_accuracy: 0.8427, prior_entropy: 0.9223, recall: 0.8427, relative_absolute_error: 0.3518, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3967, root_relative_squared_error: 0.8389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8165, f_measure: 0.8414, kappa: 0.6427, kb_relative_information_score: 0.6314, mean_absolute_error: 0.1573, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8409, predictive_accuracy: 0.8427, prior_entropy: 0.9223, recall: 0.8427, relative_absolute_error: 0.3518, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3967, root_relative_squared_error: 0.8389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6767, f_measure: 0.7423, kappa: 0.4099, kb_relative_information_score: 0.4671, mean_absolute_error: 0.2275, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7946, predictive_accuracy: 0.7725, prior_entropy: 0.9223, recall: 0.7725, relative_absolute_error: 0.5086, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.477, root_relative_squared_error: 1.0087,
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: 0.5784, f_measure: 0.627, kappa: 0.1594, kb_relative_information_score: 0.1341, mean_absolute_error: 0.3697, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.6243, predictive_accuracy: 0.6303, prior_entropy: 0.9223, recall: 0.6303, relative_absolute_error: 0.8265, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.608, root_relative_squared_error: 1.2859,
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: 0.5784, f_measure: 0.627, kappa: 0.1594, kb_relative_information_score: 0.1341, mean_absolute_error: 0.3697, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.6243, predictive_accuracy: 0.6303, prior_entropy: 0.9223, recall: 0.6303, relative_absolute_error: 0.8265, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.608, root_relative_squared_error: 1.2859,
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: 0.6078, f_measure: 0.6487, kappa: 0.2152, kb_relative_information_score: 0.1763, mean_absolute_error: 0.3517, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.6491, predictive_accuracy: 0.6483, prior_entropy: 0.9223, recall: 0.6483, relative_absolute_error: 0.7863, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.593, root_relative_squared_error: 1.2542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.747, f_measure: 0.7909, kappa: 0.5225, kb_relative_information_score: 0.5271, mean_absolute_error: 0.2019, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.794, 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: 0.8148, f_measure: 0.8334, kappa: 0.6279, kb_relative_information_score: 0.6092, mean_absolute_error: 0.1668, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8337, predictive_accuracy: 0.8332, prior_entropy: 0.9223, recall: 0.8332, relative_absolute_error: 0.373, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4084, root_relative_squared_error: 0.8638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5427, f_measure: 0.5937, kappa: 0.1088, kb_relative_information_score: 0.2673, mean_absolute_error: 0.3128, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7206, predictive_accuracy: 0.6872, prior_entropy: 0.9223, recall: 0.6872, relative_absolute_error: 0.6994, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.5593, root_relative_squared_error: 1.1828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5784, f_measure: 0.627, kappa: 0.1594, kb_relative_information_score: 0.1341, mean_absolute_error: 0.3697, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.6243, predictive_accuracy: 0.6303, prior_entropy: 0.9223, recall: 0.6303, relative_absolute_error: 0.8265, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.608, root_relative_squared_error: 1.2859,
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: 0.7556, f_measure: 0.7826, kappa: 0.5129, kb_relative_information_score: 0.4916, mean_absolute_error: 0.2171, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7822, predictive_accuracy: 0.7829, prior_entropy: 0.9223, recall: 0.7829, relative_absolute_error: 0.4853, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4659, root_relative_squared_error: 0.9853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.747, f_measure: 0.7909, kappa: 0.5225, kb_relative_information_score: 0.5271, mean_absolute_error: 0.2019, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.794, 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: 0.8165, f_measure: 0.8414, kappa: 0.6427, kb_relative_information_score: 0.6314, mean_absolute_error: 0.1573, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8409, predictive_accuracy: 0.8427, prior_entropy: 0.9223, recall: 0.8427, relative_absolute_error: 0.3518, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3967, root_relative_squared_error: 0.8389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7556, f_measure: 0.7826, kappa: 0.5129, kb_relative_information_score: 0.4916, mean_absolute_error: 0.2171, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7822, predictive_accuracy: 0.7829, prior_entropy: 0.9223, recall: 0.7829, relative_absolute_error: 0.4853, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4659, root_relative_squared_error: 0.9853,
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: 0.5427, f_measure: 0.5937, kappa: 0.1088, kb_relative_information_score: 0.2673, mean_absolute_error: 0.3128, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7206, predictive_accuracy: 0.6872, prior_entropy: 0.9223, recall: 0.6872, relative_absolute_error: 0.6994, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.5593, root_relative_squared_error: 1.1828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5294, f_measure: 0.5738, kappa: 0.0762, kb_relative_information_score: 0.2518, mean_absolute_error: 0.3194, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7354, predictive_accuracy: 0.6806, prior_entropy: 0.9223, recall: 0.6806, relative_absolute_error: 0.7142, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.5652, root_relative_squared_error: 1.1953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5784, f_measure: 0.627, kappa: 0.1594, kb_relative_information_score: 0.1341, mean_absolute_error: 0.3697, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.6243, predictive_accuracy: 0.6303, prior_entropy: 0.9223, recall: 0.6303, relative_absolute_error: 0.8265, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.608, root_relative_squared_error: 1.2859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8599, f_measure: 0.8691, kappa: 0.7096, kb_relative_information_score: 0.6914, mean_absolute_error: 0.1318, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8707, 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: 0.5, 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: 0.6534, f_measure: 0.6971, kappa: 0.3148, kb_relative_information_score: 0.3006, mean_absolute_error: 0.2986, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.6945, predictive_accuracy: 0.7014, prior_entropy: 0.9223, recall: 0.7014, relative_absolute_error: 0.6676, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.5464, root_relative_squared_error: 1.1556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.615, f_measure: 0.657, kappa: 0.231, kb_relative_information_score: 0.1985, mean_absolute_error: 0.3422, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.6562, predictive_accuracy: 0.6578, prior_entropy: 0.9223, recall: 0.6578, relative_absolute_error: 0.7651, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.585, root_relative_squared_error: 1.2371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.615, f_measure: 0.657, kappa: 0.231, kb_relative_information_score: 0.1985, mean_absolute_error: 0.3422, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.6562, predictive_accuracy: 0.6578, prior_entropy: 0.9223, recall: 0.6578, relative_absolute_error: 0.7651, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.585, root_relative_squared_error: 1.2371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8543, f_measure: 0.8668, kappa: 0.7034, kb_relative_information_score: 0.6869, mean_absolute_error: 0.1336, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8675, 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: 0.5252, f_measure: 0.5687, kappa: 0.0652, kb_relative_information_score: 0.2429, mean_absolute_error: 0.3232, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7091, predictive_accuracy: 0.6768, prior_entropy: 0.9223, recall: 0.6768, relative_absolute_error: 0.7227, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.5685, root_relative_squared_error: 1.2024,
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: 0.8306, f_measure: 0.8531, kappa: 0.6694, kb_relative_information_score: 0.6581, mean_absolute_error: 0.146, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8526, 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: 0.5, 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: 0.827, f_measure: 0.8494, kappa: 0.6613, kb_relative_information_score: 0.6492, mean_absolute_error: 0.1498, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8489, 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: 0.5231, f_measure: 0.574, kappa: 0.0462, kb_relative_information_score: 0.0031, mean_absolute_error: 0.4256, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.5735, predictive_accuracy: 0.5744, prior_entropy: 0.9223, recall: 0.5744, relative_absolute_error: 0.9516, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.6524, root_relative_squared_error: 1.3797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.528, f_measure: 0.5718, kappa: 0.0726, kb_relative_information_score: 0.2495, mean_absolute_error: 0.3204, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.733, predictive_accuracy: 0.6796, prior_entropy: 0.9223, recall: 0.6796, relative_absolute_error: 0.7163, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.566, root_relative_squared_error: 1.1971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8432, f_measure: 0.8629, kappa: 0.6922, kb_relative_information_score: 0.6803, mean_absolute_error: 0.1365, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8626, 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: 0.5, 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: 0.5, 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: 0.8341, f_measure: 0.856, kappa: 0.6761, kb_relative_information_score: 0.6647, mean_absolute_error: 0.1431, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8556, predictive_accuracy: 0.8569, prior_entropy: 0.9223, recall: 0.8569, relative_absolute_error: 0.32, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3783, root_relative_squared_error: 0.8001,
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: 0.82, f_measure: 0.8435, kappa: 0.648, kb_relative_information_score: 0.6359, mean_absolute_error: 0.1555, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.843, 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: 0.8432, f_measure: 0.8629, kappa: 0.6922, kb_relative_information_score: 0.6803, mean_absolute_error: 0.1365, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8626, 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: 0.8264, f_measure: 0.8508, kappa: 0.6637, kb_relative_information_score: 0.6536, mean_absolute_error: 0.1479, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8504, 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: 0.8422, f_measure: 0.8532, kappa: 0.6742, kb_relative_information_score: 0.6536, mean_absolute_error: 0.1479, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.855, 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: 0.8531, f_measure: 0.8715, kappa: 0.7116, kb_relative_information_score: 0.7003, mean_absolute_error: 0.128, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8712, 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: 0.8306, f_measure: 0.8531, kappa: 0.6694, kb_relative_information_score: 0.6581, mean_absolute_error: 0.146, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8526, 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,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7753, f_measure: 0.7983, kappa: 0.5494, kb_relative_information_score: 0.5271, mean_absolute_error: 0.2019, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7985, 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,
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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: 0.6128, f_measure: 0.6533, kappa: 0.2252, kb_relative_information_score: 0.1874, mean_absolute_error: 0.3469, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.6536, predictive_accuracy: 0.6531, prior_entropy: 0.9223, recall: 0.6531, relative_absolute_error: 0.7757, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.589, root_relative_squared_error: 1.2457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8151, f_measure: 0.8403, kappa: 0.6403, kb_relative_information_score: 0.6292, mean_absolute_error: 0.1583, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8399, 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,
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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: 0.7835, f_measure: 0.799, kappa: 0.5556, kb_relative_information_score: 0.5249, mean_absolute_error: 0.2028, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8022, 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: 0.5, 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: 0.6398, f_measure: 0.6939, kappa: 0.2991, kb_relative_information_score: 0.3139, mean_absolute_error: 0.2929, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.6931, predictive_accuracy: 0.7071, prior_entropy: 0.9223, recall: 0.7071, relative_absolute_error: 0.6549, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.5412, root_relative_squared_error: 1.1446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8264, f_measure: 0.8508, kappa: 0.6637, kb_relative_information_score: 0.6536, mean_absolute_error: 0.1479, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8504, 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: 0.7209, f_measure: 0.7811, kappa: 0.4969, kb_relative_information_score: 0.5315, mean_absolute_error: 0.2, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8134, 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,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.813, f_measure: 0.84, kappa: 0.6388, kb_relative_information_score: 0.6292, mean_absolute_error: 0.1583, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8396, 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,
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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,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8061, f_measure: 0.8378, kappa: 0.6322, kb_relative_information_score: 0.627, mean_absolute_error: 0.1592, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8384, predictive_accuracy: 0.8408, prior_entropy: 0.9223, recall: 0.8408, relative_absolute_error: 0.356, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3991, root_relative_squared_error: 0.844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8061, f_measure: 0.8378, kappa: 0.6322, kb_relative_information_score: 0.627, mean_absolute_error: 0.1592, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8384, predictive_accuracy: 0.8408, prior_entropy: 0.9223, recall: 0.8408, relative_absolute_error: 0.356, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3991, root_relative_squared_error: 0.844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8095, f_measure: 0.837, kappa: 0.632, kb_relative_information_score: 0.6225, mean_absolute_error: 0.1611, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8367, 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: 0.5, 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: 0.8306, f_measure: 0.8531, kappa: 0.6694, kb_relative_information_score: 0.6581, mean_absolute_error: 0.146, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8526, 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: 0.8095, f_measure: 0.837, kappa: 0.632, kb_relative_information_score: 0.6225, mean_absolute_error: 0.1611, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8367, 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: 0.5, 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: 0.8306, f_measure: 0.8531, kappa: 0.6694, kb_relative_information_score: 0.6581, mean_absolute_error: 0.146, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8526, 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,

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