Task
Supervised Classification on kc2

Supervised Classification on kc2

Task 3913 Supervised Classification kc2 170168 runs submitted
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  • OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_41 study_7 study_98 study_99 under100k under1m
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170168 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6675, f_measure: 0.817, kappa: 0.3986, kb_relative_information_score: 0.4121, mean_absolute_error: 0.1648, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.819, predictive_accuracy: 0.8352, prior_entropy: 0.7318, recall: 0.8352, relative_absolute_error: 0.5045, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4059, root_relative_squared_error: 1.0055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.671, f_measure: 0.8181, kappa: 0.4035, kb_relative_information_score: 0.4121, mean_absolute_error: 0.1648, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8191, predictive_accuracy: 0.8352, prior_entropy: 0.7318, recall: 0.8352, relative_absolute_error: 0.5045, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4059, root_relative_squared_error: 1.0055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6768, f_measure: 0.8223, kappa: 0.4174, kb_relative_information_score: 0.4257, mean_absolute_error: 0.1609, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8241, predictive_accuracy: 0.8391, prior_entropy: 0.7318, recall: 0.8391, relative_absolute_error: 0.4927, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4011, root_relative_squared_error: 0.9937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6918, f_measure: 0.8238, kappa: 0.4314, kb_relative_information_score: 0.4121, mean_absolute_error: 0.1648, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8213, predictive_accuracy: 0.8352, prior_entropy: 0.7318, recall: 0.8352, relative_absolute_error: 0.5045, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4059, root_relative_squared_error: 1.0055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6918, f_measure: 0.8238, kappa: 0.4314, kb_relative_information_score: 0.4121, mean_absolute_error: 0.1648, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8213, predictive_accuracy: 0.8352, prior_entropy: 0.7318, recall: 0.8352, relative_absolute_error: 0.5045, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4059, root_relative_squared_error: 1.0055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6744, f_measure: 0.8191, kappa: 0.4083, kb_relative_information_score: 0.4121, mean_absolute_error: 0.1648, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8193, predictive_accuracy: 0.8352, prior_entropy: 0.7318, recall: 0.8352, relative_absolute_error: 0.5045, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4059, root_relative_squared_error: 1.0055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6918, f_measure: 0.8238, kappa: 0.4314, kb_relative_information_score: 0.4121, mean_absolute_error: 0.1648, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8213, predictive_accuracy: 0.8352, prior_entropy: 0.7318, recall: 0.8352, relative_absolute_error: 0.5045, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4059, root_relative_squared_error: 1.0055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6918, f_measure: 0.8238, kappa: 0.4314, kb_relative_information_score: 0.4121, mean_absolute_error: 0.1648, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8213, predictive_accuracy: 0.8352, prior_entropy: 0.7318, recall: 0.8352, relative_absolute_error: 0.5045, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4059, root_relative_squared_error: 1.0055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6918, f_measure: 0.8238, kappa: 0.4314, kb_relative_information_score: 0.4121, mean_absolute_error: 0.1648, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8213, predictive_accuracy: 0.8352, prior_entropy: 0.7318, recall: 0.8352, relative_absolute_error: 0.5045, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4059, root_relative_squared_error: 1.0055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6698, f_measure: 0.8165, kappa: 0.399, kb_relative_information_score: 0.4052, mean_absolute_error: 0.1667, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8167, predictive_accuracy: 0.8333, prior_entropy: 0.7318, recall: 0.8333, relative_absolute_error: 0.5103, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4082, root_relative_squared_error: 1.0113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6918, f_measure: 0.8238, kappa: 0.4314, kb_relative_information_score: 0.4121, mean_absolute_error: 0.1648, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8213, predictive_accuracy: 0.8352, prior_entropy: 0.7318, recall: 0.8352, relative_absolute_error: 0.5045, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4059, root_relative_squared_error: 1.0055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6918, f_measure: 0.8238, kappa: 0.4314, kb_relative_information_score: 0.4121, mean_absolute_error: 0.1648, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8213, predictive_accuracy: 0.8352, prior_entropy: 0.7318, recall: 0.8352, relative_absolute_error: 0.5045, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4059, root_relative_squared_error: 1.0055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6918, f_measure: 0.8238, kappa: 0.4314, kb_relative_information_score: 0.4121, mean_absolute_error: 0.1648, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8213, predictive_accuracy: 0.8352, prior_entropy: 0.7318, recall: 0.8352, relative_absolute_error: 0.5045, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4059, root_relative_squared_error: 1.0055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.678, f_measure: 0.8239, kappa: 0.4219, kb_relative_information_score: 0.4326, mean_absolute_error: 0.159, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8266, predictive_accuracy: 0.841, prior_entropy: 0.7318, recall: 0.841, relative_absolute_error: 0.4869, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3988, root_relative_squared_error: 0.9878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6918, f_measure: 0.8238, kappa: 0.4314, kb_relative_information_score: 0.4121, mean_absolute_error: 0.1648, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8213, predictive_accuracy: 0.8352, prior_entropy: 0.7318, recall: 0.8352, relative_absolute_error: 0.5045, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4059, root_relative_squared_error: 1.0055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6663, f_measure: 0.8154, kappa: 0.3941, kb_relative_information_score: 0.4052, mean_absolute_error: 0.1667, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8165, predictive_accuracy: 0.8333, prior_entropy: 0.7318, recall: 0.8333, relative_absolute_error: 0.5103, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4082, root_relative_squared_error: 1.0113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6918, f_measure: 0.8238, kappa: 0.4314, kb_relative_information_score: 0.4121, mean_absolute_error: 0.1648, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8213, predictive_accuracy: 0.8352, prior_entropy: 0.7318, recall: 0.8352, relative_absolute_error: 0.5045, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4059, root_relative_squared_error: 1.0055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.671, f_measure: 0.8181, kappa: 0.4035, kb_relative_information_score: 0.4121, mean_absolute_error: 0.1648, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8191, predictive_accuracy: 0.8352, prior_entropy: 0.7318, recall: 0.8352, relative_absolute_error: 0.5045, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4059, root_relative_squared_error: 1.0055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6918, f_measure: 0.8238, kappa: 0.4314, kb_relative_information_score: 0.4121, mean_absolute_error: 0.1648, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8213, predictive_accuracy: 0.8352, prior_entropy: 0.7318, recall: 0.8352, relative_absolute_error: 0.5045, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4059, root_relative_squared_error: 1.0055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6663, f_measure: 0.8154, kappa: 0.3941, kb_relative_information_score: 0.4052, mean_absolute_error: 0.1667, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8165, predictive_accuracy: 0.8333, prior_entropy: 0.7318, recall: 0.8333, relative_absolute_error: 0.5103, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4082, root_relative_squared_error: 1.0113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6628, f_measure: 0.8143, kappa: 0.3891, kb_relative_information_score: 0.4052, mean_absolute_error: 0.1667, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8164, predictive_accuracy: 0.8333, prior_entropy: 0.7318, recall: 0.8333, relative_absolute_error: 0.5103, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4082, root_relative_squared_error: 1.0113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6652, f_measure: 0.8175, kappa: 0.3981, kb_relative_information_score: 0.4189, mean_absolute_error: 0.1628, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8216, predictive_accuracy: 0.8372, prior_entropy: 0.7318, recall: 0.8372, relative_absolute_error: 0.4986, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4035, root_relative_squared_error: 0.9996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6918, f_measure: 0.8238, kappa: 0.4314, kb_relative_information_score: 0.4121, mean_absolute_error: 0.1648, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8213, predictive_accuracy: 0.8352, prior_entropy: 0.7318, recall: 0.8352, relative_absolute_error: 0.5045, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4059, root_relative_squared_error: 1.0055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.671, f_measure: 0.8181, kappa: 0.4035, kb_relative_information_score: 0.4121, mean_absolute_error: 0.1648, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8191, predictive_accuracy: 0.8352, prior_entropy: 0.7318, recall: 0.8352, relative_absolute_error: 0.5045, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4059, root_relative_squared_error: 1.0055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6768, f_measure: 0.8223, kappa: 0.4174, kb_relative_information_score: 0.4257, mean_absolute_error: 0.1609, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8241, predictive_accuracy: 0.8391, prior_entropy: 0.7318, recall: 0.8391, relative_absolute_error: 0.4927, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4011, root_relative_squared_error: 0.9937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6918, f_measure: 0.8238, kappa: 0.4314, kb_relative_information_score: 0.4121, mean_absolute_error: 0.1648, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8213, predictive_accuracy: 0.8352, prior_entropy: 0.7318, recall: 0.8352, relative_absolute_error: 0.5045, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4059, root_relative_squared_error: 1.0055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6918, f_measure: 0.8238, kappa: 0.4314, kb_relative_information_score: 0.4121, mean_absolute_error: 0.1648, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8213, predictive_accuracy: 0.8352, prior_entropy: 0.7318, recall: 0.8352, relative_absolute_error: 0.5045, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4059, root_relative_squared_error: 1.0055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6722, f_measure: 0.8197, kappa: 0.408, kb_relative_information_score: 0.4189, mean_absolute_error: 0.1628, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8215, predictive_accuracy: 0.8372, prior_entropy: 0.7318, recall: 0.8372, relative_absolute_error: 0.4986, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4035, root_relative_squared_error: 0.9996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6663, f_measure: 0.8154, kappa: 0.3941, kb_relative_information_score: 0.4052, mean_absolute_error: 0.1667, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8165, predictive_accuracy: 0.8333, prior_entropy: 0.7318, recall: 0.8333, relative_absolute_error: 0.5103, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4082, root_relative_squared_error: 1.0113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6756, f_measure: 0.8207, kappa: 0.4128, kb_relative_information_score: 0.4189, mean_absolute_error: 0.1628, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8216, predictive_accuracy: 0.8372, prior_entropy: 0.7318, recall: 0.8372, relative_absolute_error: 0.4986, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4035, root_relative_squared_error: 0.9996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6663, f_measure: 0.8154, kappa: 0.3941, kb_relative_information_score: 0.4052, mean_absolute_error: 0.1667, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8165, predictive_accuracy: 0.8333, prior_entropy: 0.7318, recall: 0.8333, relative_absolute_error: 0.5103, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4082, root_relative_squared_error: 1.0113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6918, f_measure: 0.8238, kappa: 0.4314, kb_relative_information_score: 0.4121, mean_absolute_error: 0.1648, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8213, predictive_accuracy: 0.8352, prior_entropy: 0.7318, recall: 0.8352, relative_absolute_error: 0.5045, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4059, root_relative_squared_error: 1.0055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.671, f_measure: 0.8181, kappa: 0.4035, kb_relative_information_score: 0.4121, mean_absolute_error: 0.1648, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8191, predictive_accuracy: 0.8352, prior_entropy: 0.7318, recall: 0.8352, relative_absolute_error: 0.5045, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4059, root_relative_squared_error: 1.0055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.664, f_measure: 0.8159, kappa: 0.3936, kb_relative_information_score: 0.4121, mean_absolute_error: 0.1648, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8189, predictive_accuracy: 0.8352, prior_entropy: 0.7318, recall: 0.8352, relative_absolute_error: 0.5045, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4059, root_relative_squared_error: 1.0055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6628, f_measure: 0.8143, kappa: 0.3891, kb_relative_information_score: 0.4052, mean_absolute_error: 0.1667, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8164, predictive_accuracy: 0.8333, prior_entropy: 0.7318, recall: 0.8333, relative_absolute_error: 0.5103, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4082, root_relative_squared_error: 1.0113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6535, f_measure: 0.8089, kappa: 0.3698, kb_relative_information_score: 0.3915, mean_absolute_error: 0.1705, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8111, predictive_accuracy: 0.8295, prior_entropy: 0.7318, recall: 0.8295, relative_absolute_error: 0.5221, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4129, root_relative_squared_error: 1.0229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6687, f_measure: 0.8186, kappa: 0.4031, kb_relative_information_score: 0.4189, mean_absolute_error: 0.1628, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8215, predictive_accuracy: 0.8372, prior_entropy: 0.7318, recall: 0.8372, relative_absolute_error: 0.4986, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4035, root_relative_squared_error: 0.9996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6547, f_measure: 0.8105, kappa: 0.3743, kb_relative_information_score: 0.3984, mean_absolute_error: 0.1686, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8137, predictive_accuracy: 0.8314, prior_entropy: 0.7318, recall: 0.8314, relative_absolute_error: 0.5162, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4106, root_relative_squared_error: 1.0171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6768, f_measure: 0.8223, kappa: 0.4174, kb_relative_information_score: 0.4257, mean_absolute_error: 0.1609, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8241, predictive_accuracy: 0.8391, prior_entropy: 0.7318, recall: 0.8391, relative_absolute_error: 0.4927, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4011, root_relative_squared_error: 0.9937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6616, f_measure: 0.8128, kappa: 0.3846, kb_relative_information_score: 0.3984, mean_absolute_error: 0.1686, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8139, predictive_accuracy: 0.8314, prior_entropy: 0.7318, recall: 0.8314, relative_absolute_error: 0.5162, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4106, root_relative_squared_error: 1.0171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6918, f_measure: 0.8238, kappa: 0.4314, kb_relative_information_score: 0.4121, mean_absolute_error: 0.1648, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8213, predictive_accuracy: 0.8352, prior_entropy: 0.7318, recall: 0.8352, relative_absolute_error: 0.5045, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4059, root_relative_squared_error: 1.0055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6675, f_measure: 0.817, kappa: 0.3986, kb_relative_information_score: 0.4121, mean_absolute_error: 0.1648, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.819, predictive_accuracy: 0.8352, prior_entropy: 0.7318, recall: 0.8352, relative_absolute_error: 0.5045, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4059, root_relative_squared_error: 1.0055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6732, f_measure: 0.8175, kappa: 0.4039, kb_relative_information_score: 0.4052, mean_absolute_error: 0.1667, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.817, predictive_accuracy: 0.8333, prior_entropy: 0.7318, recall: 0.8333, relative_absolute_error: 0.5103, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4082, root_relative_squared_error: 1.0113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.671, f_measure: 0.8181, kappa: 0.4035, kb_relative_information_score: 0.4121, mean_absolute_error: 0.1648, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8191, predictive_accuracy: 0.8352, prior_entropy: 0.7318, recall: 0.8352, relative_absolute_error: 0.5045, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4059, root_relative_squared_error: 1.0055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6732, f_measure: 0.8175, kappa: 0.4039, kb_relative_information_score: 0.4052, mean_absolute_error: 0.1667, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.817, predictive_accuracy: 0.8333, prior_entropy: 0.7318, recall: 0.8333, relative_absolute_error: 0.5103, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4082, root_relative_squared_error: 1.0113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6803, f_measure: 0.8233, kappa: 0.4221, kb_relative_information_score: 0.4257, mean_absolute_error: 0.1609, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8242, predictive_accuracy: 0.8391, prior_entropy: 0.7318, recall: 0.8391, relative_absolute_error: 0.4927, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4011, root_relative_squared_error: 0.9937,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6734, f_measure: 0.8213, kappa: 0.4126, kb_relative_information_score: 0.4257, mean_absolute_error: 0.1609, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8241, predictive_accuracy: 0.8391, prior_entropy: 0.7318, recall: 0.8391, relative_absolute_error: 0.4927, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4011, root_relative_squared_error: 0.9937,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6675, f_measure: 0.817, kappa: 0.3986, kb_relative_information_score: 0.4121, mean_absolute_error: 0.1648, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.819, predictive_accuracy: 0.8352, prior_entropy: 0.7318, recall: 0.8352, relative_absolute_error: 0.5045, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4059, root_relative_squared_error: 1.0055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6815, f_measure: 0.8249, kappa: 0.4266, kb_relative_information_score: 0.4326, mean_absolute_error: 0.159, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8266, predictive_accuracy: 0.841, prior_entropy: 0.7318, recall: 0.841, relative_absolute_error: 0.4869, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3988, root_relative_squared_error: 0.9878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6535, f_measure: 0.8089, kappa: 0.3698, kb_relative_information_score: 0.3915, mean_absolute_error: 0.1705, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8111, predictive_accuracy: 0.8295, prior_entropy: 0.7318, recall: 0.8295, relative_absolute_error: 0.5221, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4129, root_relative_squared_error: 1.0229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.664, f_measure: 0.8159, kappa: 0.3936, kb_relative_information_score: 0.4121, mean_absolute_error: 0.1648, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8189, predictive_accuracy: 0.8352, prior_entropy: 0.7318, recall: 0.8352, relative_absolute_error: 0.5045, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4059, root_relative_squared_error: 1.0055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6768, f_measure: 0.8223, kappa: 0.4174, kb_relative_information_score: 0.4257, mean_absolute_error: 0.1609, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8241, predictive_accuracy: 0.8391, prior_entropy: 0.7318, recall: 0.8391, relative_absolute_error: 0.4927, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4011, root_relative_squared_error: 0.9937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.671, f_measure: 0.8181, kappa: 0.4035, kb_relative_information_score: 0.4121, mean_absolute_error: 0.1648, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8191, predictive_accuracy: 0.8352, prior_entropy: 0.7318, recall: 0.8352, relative_absolute_error: 0.5045, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4059, root_relative_squared_error: 1.0055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6746, f_measure: 0.8229, kappa: 0.4171, kb_relative_information_score: 0.4326, mean_absolute_error: 0.159, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8267, predictive_accuracy: 0.841, prior_entropy: 0.7318, recall: 0.841, relative_absolute_error: 0.4869, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3988, root_relative_squared_error: 0.9878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6768, f_measure: 0.8223, kappa: 0.4174, kb_relative_information_score: 0.4257, mean_absolute_error: 0.1609, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8241, predictive_accuracy: 0.8391, prior_entropy: 0.7318, recall: 0.8391, relative_absolute_error: 0.4927, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4011, root_relative_squared_error: 0.9937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6651, f_measure: 0.8138, kappa: 0.3896, kb_relative_information_score: 0.3984, mean_absolute_error: 0.1686, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8141, predictive_accuracy: 0.8314, prior_entropy: 0.7318, recall: 0.8314, relative_absolute_error: 0.5162, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4106, root_relative_squared_error: 1.0171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6722, f_measure: 0.8197, kappa: 0.408, kb_relative_information_score: 0.4189, mean_absolute_error: 0.1628, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8215, predictive_accuracy: 0.8372, prior_entropy: 0.7318, recall: 0.8372, relative_absolute_error: 0.4986, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4035, root_relative_squared_error: 0.9996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.664, f_measure: 0.8159, kappa: 0.3936, kb_relative_information_score: 0.4121, mean_absolute_error: 0.1648, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8189, predictive_accuracy: 0.8352, prior_entropy: 0.7318, recall: 0.8352, relative_absolute_error: 0.5045, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4059, root_relative_squared_error: 1.0055,

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

OpenML APIs