Task
Supervised Classification on qsar-biodeg

Supervised Classification on qsar-biodeg

Task 9957 Supervised Classification qsar-biodeg 149533 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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149533 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9239, f_measure: 0.8665, kappa: 0.7017, kb_relative_information_score: 0.5396, mean_absolute_error: 0.2155, mean_prior_absolute_error: 0.4472, weighted_recall: 0.8664, number_of_instances: 1055, precision: 0.8666, predictive_accuracy: 0.8664, prior_entropy: 0.9223, relative_absolute_error: 0.4819, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3175, root_relative_squared_error: 0.6715, unweighted_recall: 0.8516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9221, f_measure: 0.8668, kappa: 0.7012, kb_relative_information_score: 0.5911, mean_absolute_error: 0.1867, mean_prior_absolute_error: 0.4472, weighted_recall: 0.8673, number_of_instances: 1055, precision: 0.8665, predictive_accuracy: 0.8673, prior_entropy: 0.9223, relative_absolute_error: 0.4174, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3175, root_relative_squared_error: 0.6714, unweighted_recall: 0.8482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9234, f_measure: 0.8677, kappa: 0.7031, kb_relative_information_score: 0.5907, mean_absolute_error: 0.1873, mean_prior_absolute_error: 0.4472, weighted_recall: 0.8682, number_of_instances: 1055, precision: 0.8674, predictive_accuracy: 0.8682, prior_entropy: 0.9223, relative_absolute_error: 0.4189, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3158, root_relative_squared_error: 0.6679, unweighted_recall: 0.8489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9252, f_measure: 0.8714, kappa: 0.7112, kb_relative_information_score: 0.5832, mean_absolute_error: 0.1927, mean_prior_absolute_error: 0.4472, weighted_recall: 0.872, number_of_instances: 1055, precision: 0.8711, predictive_accuracy: 0.872, prior_entropy: 0.9223, relative_absolute_error: 0.4309, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3127, root_relative_squared_error: 0.6613, unweighted_recall: 0.8524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9097, f_measure: 0.8348, kappa: 0.6254, kb_relative_information_score: 0.4179, mean_absolute_error: 0.2734, mean_prior_absolute_error: 0.4472, weighted_recall: 0.8379, number_of_instances: 1055, precision: 0.8355, predictive_accuracy: 0.8379, prior_entropy: 0.9223, relative_absolute_error: 0.6114, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3455, root_relative_squared_error: 0.7306, unweighted_recall: 0.8026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8878, f_measure: 0.7498, kappa: 0.4263, kb_relative_information_score: 0.2171, mean_absolute_error: 0.3645, mean_prior_absolute_error: 0.4472, weighted_recall: 0.7773, number_of_instances: 1055, precision: 0.7964, predictive_accuracy: 0.7773, prior_entropy: 0.9223, relative_absolute_error: 0.8149, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4005, root_relative_squared_error: 0.8471, unweighted_recall: 0.6851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9251, f_measure: 0.8706, kappa: 0.7097, kb_relative_information_score: 0.5795, mean_absolute_error: 0.1946, mean_prior_absolute_error: 0.4472, weighted_recall: 0.8711, number_of_instances: 1055, precision: 0.8703, predictive_accuracy: 0.8711, prior_entropy: 0.9223, relative_absolute_error: 0.4352, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.313, root_relative_squared_error: 0.6619, unweighted_recall: 0.8524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9221, f_measure: 0.8668, kappa: 0.7012, kb_relative_information_score: 0.5911, mean_absolute_error: 0.1867, mean_prior_absolute_error: 0.4472, weighted_recall: 0.8673, number_of_instances: 1055, precision: 0.8665, predictive_accuracy: 0.8673, prior_entropy: 0.9223, relative_absolute_error: 0.4174, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3175, root_relative_squared_error: 0.6714, unweighted_recall: 0.8482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9233, f_measure: 0.8709, kappa: 0.7109, kb_relative_information_score: 0.6003, mean_absolute_error: 0.1826, mean_prior_absolute_error: 0.4472, weighted_recall: 0.8711, number_of_instances: 1055, precision: 0.8708, predictive_accuracy: 0.8711, prior_entropy: 0.9223, relative_absolute_error: 0.4082, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3154, root_relative_squared_error: 0.667, unweighted_recall: 0.8545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.923, f_measure: 0.8677, kappa: 0.7031, kb_relative_information_score: 0.5908, mean_absolute_error: 0.187, mean_prior_absolute_error: 0.4472, weighted_recall: 0.8682, number_of_instances: 1055, precision: 0.8674, predictive_accuracy: 0.8682, prior_entropy: 0.9223, relative_absolute_error: 0.4182, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3166, root_relative_squared_error: 0.6697, unweighted_recall: 0.8489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9223, f_measure: 0.8659, kappa: 0.6992, kb_relative_information_score: 0.5911, mean_absolute_error: 0.1867, mean_prior_absolute_error: 0.4472, weighted_recall: 0.8664, number_of_instances: 1055, precision: 0.8656, predictive_accuracy: 0.8664, prior_entropy: 0.9223, relative_absolute_error: 0.4173, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3174, root_relative_squared_error: 0.6713, unweighted_recall: 0.8475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9086, f_measure: 0.8375, kappa: 0.6405, kb_relative_information_score: 0.3634, mean_absolute_error: 0.2985, mean_prior_absolute_error: 0.4472, weighted_recall: 0.836, number_of_instances: 1055, precision: 0.8403, predictive_accuracy: 0.836, prior_entropy: 0.9223, relative_absolute_error: 0.6675, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3561, root_relative_squared_error: 0.7531, unweighted_recall: 0.8266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9231, f_measure: 0.8592, kappa: 0.6841, kb_relative_information_score: 0.5367, mean_absolute_error: 0.2167, mean_prior_absolute_error: 0.4472, weighted_recall: 0.8597, number_of_instances: 1055, precision: 0.8589, predictive_accuracy: 0.8597, prior_entropy: 0.9223, relative_absolute_error: 0.4845, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3186, root_relative_squared_error: 0.6738, unweighted_recall: 0.8397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9239, f_measure: 0.8665, kappa: 0.7017, kb_relative_information_score: 0.5396, mean_absolute_error: 0.2155, mean_prior_absolute_error: 0.4472, weighted_recall: 0.8664, number_of_instances: 1055, precision: 0.8666, predictive_accuracy: 0.8664, prior_entropy: 0.9223, relative_absolute_error: 0.4819, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3175, root_relative_squared_error: 0.6715, unweighted_recall: 0.8516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9222, f_measure: 0.8668, kappa: 0.7012, kb_relative_information_score: 0.5911, mean_absolute_error: 0.1867, mean_prior_absolute_error: 0.4472, weighted_recall: 0.8673, number_of_instances: 1055, precision: 0.8665, predictive_accuracy: 0.8673, prior_entropy: 0.9223, relative_absolute_error: 0.4174, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3175, root_relative_squared_error: 0.6714, unweighted_recall: 0.8482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.925, f_measure: 0.8706, kappa: 0.7097, kb_relative_information_score: 0.5798, mean_absolute_error: 0.1945, mean_prior_absolute_error: 0.4472, weighted_recall: 0.8711, number_of_instances: 1055, precision: 0.8703, predictive_accuracy: 0.8711, prior_entropy: 0.9223, relative_absolute_error: 0.4349, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.313, root_relative_squared_error: 0.6619, unweighted_recall: 0.8524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9107, f_measure: 0.8512, kappa: 0.6652, kb_relative_information_score: 0.5754, mean_absolute_error: 0.1914, mean_prior_absolute_error: 0.4472, weighted_recall: 0.8521, number_of_instances: 1055, precision: 0.8507, predictive_accuracy: 0.8521, prior_entropy: 0.9223, relative_absolute_error: 0.428, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3328, root_relative_squared_error: 0.7038, unweighted_recall: 0.8285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9224, f_measure: 0.8668, kappa: 0.7012, kb_relative_information_score: 0.5911, mean_absolute_error: 0.1867, mean_prior_absolute_error: 0.4472, weighted_recall: 0.8673, number_of_instances: 1055, precision: 0.8665, predictive_accuracy: 0.8673, prior_entropy: 0.9223, relative_absolute_error: 0.4175, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3172, root_relative_squared_error: 0.6709, unweighted_recall: 0.8482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9221, f_measure: 0.8668, kappa: 0.7012, kb_relative_information_score: 0.5911, mean_absolute_error: 0.1867, mean_prior_absolute_error: 0.4472, weighted_recall: 0.8673, number_of_instances: 1055, precision: 0.8665, predictive_accuracy: 0.8673, prior_entropy: 0.9223, relative_absolute_error: 0.4174, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3175, root_relative_squared_error: 0.6714, unweighted_recall: 0.8482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9252, f_measure: 0.8714, kappa: 0.7112, kb_relative_information_score: 0.5832, mean_absolute_error: 0.1927, mean_prior_absolute_error: 0.4472, weighted_recall: 0.872, number_of_instances: 1055, precision: 0.8711, predictive_accuracy: 0.872, prior_entropy: 0.9223, relative_absolute_error: 0.4309, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3127, root_relative_squared_error: 0.6613, unweighted_recall: 0.8524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8878, f_measure: 0.7498, kappa: 0.4263, kb_relative_information_score: 0.2171, mean_absolute_error: 0.3645, mean_prior_absolute_error: 0.4472, weighted_recall: 0.7773, number_of_instances: 1055, precision: 0.7964, predictive_accuracy: 0.7773, prior_entropy: 0.9223, relative_absolute_error: 0.8149, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4005, root_relative_squared_error: 0.8471, unweighted_recall: 0.6851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9234, f_measure: 0.8677, kappa: 0.7031, kb_relative_information_score: 0.5907, mean_absolute_error: 0.1873, mean_prior_absolute_error: 0.4472, weighted_recall: 0.8682, number_of_instances: 1055, precision: 0.8674, predictive_accuracy: 0.8682, prior_entropy: 0.9223, relative_absolute_error: 0.4189, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3158, root_relative_squared_error: 0.6679, unweighted_recall: 0.8489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9097, f_measure: 0.8348, kappa: 0.6254, kb_relative_information_score: 0.4179, mean_absolute_error: 0.2734, mean_prior_absolute_error: 0.4472, weighted_recall: 0.8379, number_of_instances: 1055, precision: 0.8355, predictive_accuracy: 0.8379, prior_entropy: 0.9223, relative_absolute_error: 0.6114, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3455, root_relative_squared_error: 0.7306, unweighted_recall: 0.8026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9251, f_measure: 0.8706, kappa: 0.7097, kb_relative_information_score: 0.5795, mean_absolute_error: 0.1946, mean_prior_absolute_error: 0.4472, weighted_recall: 0.8711, number_of_instances: 1055, precision: 0.8703, predictive_accuracy: 0.8711, prior_entropy: 0.9223, relative_absolute_error: 0.4352, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.313, root_relative_squared_error: 0.6619, unweighted_recall: 0.8524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9221, f_measure: 0.8668, kappa: 0.7012, kb_relative_information_score: 0.5911, mean_absolute_error: 0.1867, mean_prior_absolute_error: 0.4472, weighted_recall: 0.8673, number_of_instances: 1055, precision: 0.8665, predictive_accuracy: 0.8673, prior_entropy: 0.9223, relative_absolute_error: 0.4174, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3175, root_relative_squared_error: 0.6714, unweighted_recall: 0.8482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9234, f_measure: 0.8677, kappa: 0.7031, kb_relative_information_score: 0.5907, mean_absolute_error: 0.1873, mean_prior_absolute_error: 0.4472, weighted_recall: 0.8682, number_of_instances: 1055, precision: 0.8674, predictive_accuracy: 0.8682, prior_entropy: 0.9223, relative_absolute_error: 0.4189, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3158, root_relative_squared_error: 0.6679, unweighted_recall: 0.8489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9252, f_measure: 0.8714, kappa: 0.7112, kb_relative_information_score: 0.5832, mean_absolute_error: 0.1927, mean_prior_absolute_error: 0.4472, weighted_recall: 0.872, number_of_instances: 1055, precision: 0.8711, predictive_accuracy: 0.872, prior_entropy: 0.9223, relative_absolute_error: 0.4309, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3127, root_relative_squared_error: 0.6613, unweighted_recall: 0.8524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9097, f_measure: 0.8348, kappa: 0.6254, kb_relative_information_score: 0.4179, mean_absolute_error: 0.2734, mean_prior_absolute_error: 0.4472, weighted_recall: 0.8379, number_of_instances: 1055, precision: 0.8355, predictive_accuracy: 0.8379, prior_entropy: 0.9223, relative_absolute_error: 0.6114, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3455, root_relative_squared_error: 0.7306, unweighted_recall: 0.8026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9231, f_measure: 0.8592, kappa: 0.6841, kb_relative_information_score: 0.5367, mean_absolute_error: 0.2167, mean_prior_absolute_error: 0.4472, weighted_recall: 0.8597, number_of_instances: 1055, precision: 0.8589, predictive_accuracy: 0.8597, prior_entropy: 0.9223, relative_absolute_error: 0.4845, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3186, root_relative_squared_error: 0.6738, unweighted_recall: 0.8397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9097, f_measure: 0.8348, kappa: 0.6254, kb_relative_information_score: 0.4179, mean_absolute_error: 0.2734, mean_prior_absolute_error: 0.4472, weighted_recall: 0.8379, number_of_instances: 1055, precision: 0.8355, predictive_accuracy: 0.8379, prior_entropy: 0.9223, relative_absolute_error: 0.6114, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3455, root_relative_squared_error: 0.7306, unweighted_recall: 0.8026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9221, f_measure: 0.8668, kappa: 0.7012, kb_relative_information_score: 0.5911, mean_absolute_error: 0.1867, mean_prior_absolute_error: 0.4472, weighted_recall: 0.8673, number_of_instances: 1055, precision: 0.8665, predictive_accuracy: 0.8673, prior_entropy: 0.9223, relative_absolute_error: 0.4174, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3175, root_relative_squared_error: 0.6714, unweighted_recall: 0.8482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9224, f_measure: 0.8668, kappa: 0.7012, kb_relative_information_score: 0.5911, mean_absolute_error: 0.1867, mean_prior_absolute_error: 0.4472, weighted_recall: 0.8673, number_of_instances: 1055, precision: 0.8665, predictive_accuracy: 0.8673, prior_entropy: 0.9223, relative_absolute_error: 0.4175, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3172, root_relative_squared_error: 0.6709, unweighted_recall: 0.8482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9252, f_measure: 0.8714, kappa: 0.7112, kb_relative_information_score: 0.5832, mean_absolute_error: 0.1927, mean_prior_absolute_error: 0.4472, weighted_recall: 0.872, number_of_instances: 1055, precision: 0.8711, predictive_accuracy: 0.872, prior_entropy: 0.9223, relative_absolute_error: 0.4309, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3127, root_relative_squared_error: 0.6613, unweighted_recall: 0.8524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9251, f_measure: 0.8706, kappa: 0.7097, kb_relative_information_score: 0.5795, mean_absolute_error: 0.1946, mean_prior_absolute_error: 0.4472, weighted_recall: 0.8711, number_of_instances: 1055, precision: 0.8703, predictive_accuracy: 0.8711, prior_entropy: 0.9223, relative_absolute_error: 0.4352, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.313, root_relative_squared_error: 0.6619, unweighted_recall: 0.8524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9251, f_measure: 0.8706, kappa: 0.7097, kb_relative_information_score: 0.5795, mean_absolute_error: 0.1946, mean_prior_absolute_error: 0.4472, weighted_recall: 0.8711, number_of_instances: 1055, precision: 0.8703, predictive_accuracy: 0.8711, prior_entropy: 0.9223, relative_absolute_error: 0.4352, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.313, root_relative_squared_error: 0.6619, unweighted_recall: 0.8524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8878, f_measure: 0.7498, kappa: 0.4263, kb_relative_information_score: 0.2171, mean_absolute_error: 0.3645, mean_prior_absolute_error: 0.4472, weighted_recall: 0.7773, number_of_instances: 1055, precision: 0.7964, predictive_accuracy: 0.7773, prior_entropy: 0.9223, relative_absolute_error: 0.8149, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4005, root_relative_squared_error: 0.8471, unweighted_recall: 0.6851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8878, f_measure: 0.7498, kappa: 0.4263, kb_relative_information_score: 0.2171, mean_absolute_error: 0.3645, mean_prior_absolute_error: 0.4472, weighted_recall: 0.7773, number_of_instances: 1055, precision: 0.7964, predictive_accuracy: 0.7773, prior_entropy: 0.9223, relative_absolute_error: 0.8149, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4005, root_relative_squared_error: 0.8471, unweighted_recall: 0.6851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9223, f_measure: 0.8659, kappa: 0.6992, kb_relative_information_score: 0.5911, mean_absolute_error: 0.1867, mean_prior_absolute_error: 0.4472, weighted_recall: 0.8664, number_of_instances: 1055, precision: 0.8656, predictive_accuracy: 0.8664, prior_entropy: 0.9223, relative_absolute_error: 0.4173, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3174, root_relative_squared_error: 0.6713, unweighted_recall: 0.8475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9251, f_measure: 0.8706, kappa: 0.7097, kb_relative_information_score: 0.5795, mean_absolute_error: 0.1946, mean_prior_absolute_error: 0.4472, weighted_recall: 0.8711, number_of_instances: 1055, precision: 0.8703, predictive_accuracy: 0.8711, prior_entropy: 0.9223, relative_absolute_error: 0.4352, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.313, root_relative_squared_error: 0.6619, unweighted_recall: 0.8524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9251, f_measure: 0.8706, kappa: 0.7097, kb_relative_information_score: 0.5795, mean_absolute_error: 0.1946, mean_prior_absolute_error: 0.4472, weighted_recall: 0.8711, number_of_instances: 1055, precision: 0.8703, predictive_accuracy: 0.8711, prior_entropy: 0.9223, relative_absolute_error: 0.4352, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.313, root_relative_squared_error: 0.6619, unweighted_recall: 0.8524,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9251, f_measure: 0.8706, kappa: 0.7097, kb_relative_information_score: 0.5795, mean_absolute_error: 0.1946, mean_prior_absolute_error: 0.4472, weighted_recall: 0.8711, number_of_instances: 1055, precision: 0.8703, predictive_accuracy: 0.8711, prior_entropy: 0.9223, relative_absolute_error: 0.4352, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.313, root_relative_squared_error: 0.6619, unweighted_recall: 0.8524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9251, f_measure: 0.8706, kappa: 0.7097, kb_relative_information_score: 0.5795, mean_absolute_error: 0.1946, mean_prior_absolute_error: 0.4472, weighted_recall: 0.8711, number_of_instances: 1055, precision: 0.8703, predictive_accuracy: 0.8711, prior_entropy: 0.9223, relative_absolute_error: 0.4352, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.313, root_relative_squared_error: 0.6619, unweighted_recall: 0.8524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.923, f_measure: 0.8677, kappa: 0.7031, kb_relative_information_score: 0.5908, mean_absolute_error: 0.187, mean_prior_absolute_error: 0.4472, weighted_recall: 0.8682, number_of_instances: 1055, precision: 0.8674, predictive_accuracy: 0.8682, prior_entropy: 0.9223, relative_absolute_error: 0.4182, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3166, root_relative_squared_error: 0.6697, unweighted_recall: 0.8489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9251, f_measure: 0.8706, kappa: 0.7097, kb_relative_information_score: 0.5795, mean_absolute_error: 0.1946, mean_prior_absolute_error: 0.4472, weighted_recall: 0.8711, number_of_instances: 1055, precision: 0.8703, predictive_accuracy: 0.8711, prior_entropy: 0.9223, relative_absolute_error: 0.4352, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.313, root_relative_squared_error: 0.6619, unweighted_recall: 0.8524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9251, f_measure: 0.8706, kappa: 0.7097, kb_relative_information_score: 0.5795, mean_absolute_error: 0.1946, mean_prior_absolute_error: 0.4472, weighted_recall: 0.8711, number_of_instances: 1055, precision: 0.8703, predictive_accuracy: 0.8711, prior_entropy: 0.9223, relative_absolute_error: 0.4352, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.313, root_relative_squared_error: 0.6619, unweighted_recall: 0.8524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8878, f_measure: 0.7498, kappa: 0.4263, kb_relative_information_score: 0.2171, mean_absolute_error: 0.3645, mean_prior_absolute_error: 0.4472, weighted_recall: 0.7773, number_of_instances: 1055, precision: 0.7964, predictive_accuracy: 0.7773, prior_entropy: 0.9223, relative_absolute_error: 0.8149, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4005, root_relative_squared_error: 0.8471, unweighted_recall: 0.6851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9221, f_measure: 0.8668, kappa: 0.7012, kb_relative_information_score: 0.5911, mean_absolute_error: 0.1867, mean_prior_absolute_error: 0.4472, weighted_recall: 0.8673, number_of_instances: 1055, precision: 0.8665, predictive_accuracy: 0.8673, prior_entropy: 0.9223, relative_absolute_error: 0.4174, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3175, root_relative_squared_error: 0.6714, unweighted_recall: 0.8482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9252, f_measure: 0.8714, kappa: 0.7112, kb_relative_information_score: 0.5832, mean_absolute_error: 0.1927, mean_prior_absolute_error: 0.4472, weighted_recall: 0.872, number_of_instances: 1055, precision: 0.8711, predictive_accuracy: 0.872, prior_entropy: 0.9223, relative_absolute_error: 0.4309, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3127, root_relative_squared_error: 0.6613, unweighted_recall: 0.8524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9251, f_measure: 0.8706, kappa: 0.7097, kb_relative_information_score: 0.5795, mean_absolute_error: 0.1946, mean_prior_absolute_error: 0.4472, weighted_recall: 0.8711, number_of_instances: 1055, precision: 0.8703, predictive_accuracy: 0.8711, prior_entropy: 0.9223, relative_absolute_error: 0.4352, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.313, root_relative_squared_error: 0.6619, unweighted_recall: 0.8524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9251, f_measure: 0.8706, kappa: 0.7097, kb_relative_information_score: 0.5795, mean_absolute_error: 0.1946, mean_prior_absolute_error: 0.4472, weighted_recall: 0.8711, number_of_instances: 1055, precision: 0.8703, predictive_accuracy: 0.8711, prior_entropy: 0.9223, relative_absolute_error: 0.4352, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.313, root_relative_squared_error: 0.6619, unweighted_recall: 0.8524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9251, f_measure: 0.8706, kappa: 0.7097, kb_relative_information_score: 0.5795, mean_absolute_error: 0.1946, mean_prior_absolute_error: 0.4472, weighted_recall: 0.8711, number_of_instances: 1055, precision: 0.8703, predictive_accuracy: 0.8711, prior_entropy: 0.9223, relative_absolute_error: 0.4352, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.313, root_relative_squared_error: 0.6619, unweighted_recall: 0.8524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9251, f_measure: 0.8706, kappa: 0.7097, kb_relative_information_score: 0.5795, mean_absolute_error: 0.1946, mean_prior_absolute_error: 0.4472, weighted_recall: 0.8711, number_of_instances: 1055, precision: 0.8703, predictive_accuracy: 0.8711, prior_entropy: 0.9223, relative_absolute_error: 0.4352, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.313, root_relative_squared_error: 0.6619, unweighted_recall: 0.8524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9251, f_measure: 0.8706, kappa: 0.7097, kb_relative_information_score: 0.5795, mean_absolute_error: 0.1946, mean_prior_absolute_error: 0.4472, weighted_recall: 0.8711, number_of_instances: 1055, precision: 0.8703, predictive_accuracy: 0.8711, prior_entropy: 0.9223, relative_absolute_error: 0.4352, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.313, root_relative_squared_error: 0.6619, unweighted_recall: 0.8524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9231, f_measure: 0.8592, kappa: 0.6841, kb_relative_information_score: 0.5367, mean_absolute_error: 0.2167, mean_prior_absolute_error: 0.4472, weighted_recall: 0.8597, number_of_instances: 1055, precision: 0.8589, predictive_accuracy: 0.8597, prior_entropy: 0.9223, relative_absolute_error: 0.4845, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3186, root_relative_squared_error: 0.6738, unweighted_recall: 0.8397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9251, f_measure: 0.8706, kappa: 0.7097, kb_relative_information_score: 0.5795, mean_absolute_error: 0.1946, mean_prior_absolute_error: 0.4472, weighted_recall: 0.8711, number_of_instances: 1055, precision: 0.8703, predictive_accuracy: 0.8711, prior_entropy: 0.9223, relative_absolute_error: 0.4352, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.313, root_relative_squared_error: 0.6619, unweighted_recall: 0.8524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8878, f_measure: 0.7498, kappa: 0.4263, kb_relative_information_score: 0.2171, mean_absolute_error: 0.3645, mean_prior_absolute_error: 0.4472, weighted_recall: 0.7773, number_of_instances: 1055, precision: 0.7964, predictive_accuracy: 0.7773, prior_entropy: 0.9223, relative_absolute_error: 0.8149, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4005, root_relative_squared_error: 0.8471, unweighted_recall: 0.6851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9251, f_measure: 0.8706, kappa: 0.7097, kb_relative_information_score: 0.5795, mean_absolute_error: 0.1946, mean_prior_absolute_error: 0.4472, weighted_recall: 0.8711, number_of_instances: 1055, precision: 0.8703, predictive_accuracy: 0.8711, prior_entropy: 0.9223, relative_absolute_error: 0.4352, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.313, root_relative_squared_error: 0.6619, unweighted_recall: 0.8524,

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