Task
Supervised Classification on qsar-biodeg

Supervised Classification on qsar-biodeg

Task 9957 Supervised Classification qsar-biodeg 145002 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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145002 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8624, f_measure: 0.8825, kappa: 0.7354, kb_relative_information_score: 0.7269, mean_absolute_error: 0.1166, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8824, 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: 0.8624, f_measure: 0.8825, kappa: 0.7354, kb_relative_information_score: 0.7269, mean_absolute_error: 0.1166, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8824, 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: 0.8574, f_measure: 0.877, kappa: 0.7233, kb_relative_information_score: 0.7136, mean_absolute_error: 0.1223, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8767, 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: 0.8624, f_measure: 0.8825, kappa: 0.7354, kb_relative_information_score: 0.7269, mean_absolute_error: 0.1166, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8824, 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: 0.8624, f_measure: 0.8825, kappa: 0.7354, kb_relative_information_score: 0.7269, mean_absolute_error: 0.1166, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8824, 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: 0.861, f_measure: 0.8815, kappa: 0.7331, 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: 0.8624, f_measure: 0.8825, kappa: 0.7354, kb_relative_information_score: 0.7269, mean_absolute_error: 0.1166, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8824, 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: 0.861, f_measure: 0.8815, kappa: 0.7331, 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: 0.8574, f_measure: 0.877, kappa: 0.7233, kb_relative_information_score: 0.7136, mean_absolute_error: 0.1223, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8767, 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: 0.8631, f_measure: 0.8834, kappa: 0.7374, kb_relative_information_score: 0.7291, mean_absolute_error: 0.1156, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8833, predictive_accuracy: 0.8844, prior_entropy: 0.9223, recall: 0.8844, relative_absolute_error: 0.2586, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3401, root_relative_squared_error: 0.7192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8624, f_measure: 0.8825, kappa: 0.7354, kb_relative_information_score: 0.7269, mean_absolute_error: 0.1166, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8824, 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: 0.861, f_measure: 0.8815, kappa: 0.7331, 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: 0.8638, f_measure: 0.8835, kappa: 0.7378, kb_relative_information_score: 0.7291, mean_absolute_error: 0.1156, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8834, predictive_accuracy: 0.8844, prior_entropy: 0.9223, recall: 0.8844, relative_absolute_error: 0.2586, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3401, root_relative_squared_error: 0.7192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8574, f_measure: 0.877, kappa: 0.7233, kb_relative_information_score: 0.7136, mean_absolute_error: 0.1223, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8767, 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: 0.8574, f_measure: 0.877, kappa: 0.7233, kb_relative_information_score: 0.7136, mean_absolute_error: 0.1223, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8767, 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: 0.8574, f_measure: 0.877, kappa: 0.7233, kb_relative_information_score: 0.7136, mean_absolute_error: 0.1223, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8767, 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: 0.8588, 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: 0.8624, f_measure: 0.8825, kappa: 0.7354, kb_relative_information_score: 0.7269, mean_absolute_error: 0.1166, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8824, 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: 0.8624, f_measure: 0.8825, kappa: 0.7354, kb_relative_information_score: 0.7269, mean_absolute_error: 0.1166, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8824, 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: 0.8574, f_measure: 0.877, kappa: 0.7233, kb_relative_information_score: 0.7136, mean_absolute_error: 0.1223, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8767, 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: 0.8574, f_measure: 0.877, kappa: 0.7233, kb_relative_information_score: 0.7136, mean_absolute_error: 0.1223, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8767, 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: 0.8624, f_measure: 0.8825, kappa: 0.7354, kb_relative_information_score: 0.7269, mean_absolute_error: 0.1166, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8824, 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: 0.8624, f_measure: 0.8825, kappa: 0.7354, kb_relative_information_score: 0.7269, mean_absolute_error: 0.1166, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8824, 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: 0.8624, f_measure: 0.8825, kappa: 0.7354, kb_relative_information_score: 0.7269, mean_absolute_error: 0.1166, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8824, 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: 0.8624, f_measure: 0.8825, kappa: 0.7354, kb_relative_information_score: 0.7269, mean_absolute_error: 0.1166, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8824, 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: 0.8574, f_measure: 0.877, kappa: 0.7233, kb_relative_information_score: 0.7136, mean_absolute_error: 0.1223, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8767, 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: 0.8673, f_measure: 0.8856, kappa: 0.7428, kb_relative_information_score: 0.7336, mean_absolute_error: 0.1137, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8854, 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: 0.8617, 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: 0.861, f_measure: 0.8815, kappa: 0.7331, 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: 0.8574, f_measure: 0.877, kappa: 0.7233, kb_relative_information_score: 0.7136, mean_absolute_error: 0.1223, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8767, 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: 0.8574, f_measure: 0.877, kappa: 0.7233, kb_relative_information_score: 0.7136, mean_absolute_error: 0.1223, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8767, 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: 0.8624, f_measure: 0.8825, kappa: 0.7354, kb_relative_information_score: 0.7269, mean_absolute_error: 0.1166, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8824, 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: 0.8574, f_measure: 0.877, kappa: 0.7233, kb_relative_information_score: 0.7136, mean_absolute_error: 0.1223, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8767, 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: 0.8574, f_measure: 0.877, kappa: 0.7233, kb_relative_information_score: 0.7136, mean_absolute_error: 0.1223, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8767, 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: 0.8574, f_measure: 0.877, kappa: 0.7233, kb_relative_information_score: 0.7136, mean_absolute_error: 0.1223, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8767, 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: 0.8574, f_measure: 0.877, kappa: 0.7233, kb_relative_information_score: 0.7136, mean_absolute_error: 0.1223, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8767, 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: 0.8574, f_measure: 0.877, kappa: 0.7233, kb_relative_information_score: 0.7136, mean_absolute_error: 0.1223, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8767, 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: 0.8574, f_measure: 0.877, kappa: 0.7233, kb_relative_information_score: 0.7136, mean_absolute_error: 0.1223, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8767, 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: 0.8574, f_measure: 0.877, kappa: 0.7233, kb_relative_information_score: 0.7136, mean_absolute_error: 0.1223, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8767, 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: 0.8574, f_measure: 0.877, kappa: 0.7233, kb_relative_information_score: 0.7136, mean_absolute_error: 0.1223, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8767, 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: 0.8617, 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: 0.8624, f_measure: 0.8825, kappa: 0.7354, kb_relative_information_score: 0.7269, mean_absolute_error: 0.1166, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8824, 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: 0.8624, f_measure: 0.8825, kappa: 0.7354, kb_relative_information_score: 0.7269, mean_absolute_error: 0.1166, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8824, 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: 0.8574, f_measure: 0.877, kappa: 0.7233, kb_relative_information_score: 0.7136, mean_absolute_error: 0.1223, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8767, 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,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8574, f_measure: 0.877, kappa: 0.7233, kb_relative_information_score: 0.7136, mean_absolute_error: 0.1223, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8767, 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: 0.8574, f_measure: 0.877, kappa: 0.7233, kb_relative_information_score: 0.7136, mean_absolute_error: 0.1223, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8767, 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: 0.8624, f_measure: 0.8825, kappa: 0.7354, kb_relative_information_score: 0.7269, mean_absolute_error: 0.1166, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8824, 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: 0.8574, f_measure: 0.877, kappa: 0.7233, kb_relative_information_score: 0.7136, mean_absolute_error: 0.1223, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8767, 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: 0.8574, f_measure: 0.877, kappa: 0.7233, kb_relative_information_score: 0.7136, mean_absolute_error: 0.1223, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8767, 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: 0.8779, kappa: 0.7253, kb_relative_information_score: 0.7158, mean_absolute_error: 0.1213, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8776, 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: 0.8624, f_measure: 0.8825, kappa: 0.7354, kb_relative_information_score: 0.7269, mean_absolute_error: 0.1166, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8824, 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: 0.8624, f_measure: 0.8825, kappa: 0.7354, kb_relative_information_score: 0.7269, mean_absolute_error: 0.1166, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8824, 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: 0.8624, f_measure: 0.8825, kappa: 0.7354, kb_relative_information_score: 0.7269, mean_absolute_error: 0.1166, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8824, 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: 0.8617, 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: 0.8624, f_measure: 0.8825, kappa: 0.7354, kb_relative_information_score: 0.7269, mean_absolute_error: 0.1166, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8824, 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,

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

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From your own software

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

OpenML APIs