OpenML
Supervised Classification on letter

Supervised Classification on letter

Task 6 Supervised Classification letter 35040 runs submitted
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  • at2 basic OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_41 study_7 study_70 study_73 study_98 study_99 under100k under1m
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35040 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9664, f_measure: 0.7206, kappa: 0.7107, kb_relative_information_score: 0.6522, mean_absolute_error: 0.0451, mean_prior_absolute_error: 0.074, weighted_recall: 0.7218, number_of_instances: 20000, precision: 0.7235, predictive_accuracy: 0.7218, prior_entropy: 4.6998, relative_absolute_error: 0.6099, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1363, root_relative_squared_error: 0.7087, unweighted_recall: 0.7201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9664, f_measure: 0.7206, kappa: 0.7107, kb_relative_information_score: 0.6522, mean_absolute_error: 0.0451, mean_prior_absolute_error: 0.074, weighted_recall: 0.7218, number_of_instances: 20000, precision: 0.7235, predictive_accuracy: 0.7218, prior_entropy: 4.6998, relative_absolute_error: 0.6099, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1363, root_relative_squared_error: 0.7087, unweighted_recall: 0.7201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9664, f_measure: 0.7206, kappa: 0.7107, kb_relative_information_score: 0.6522, mean_absolute_error: 0.0451, mean_prior_absolute_error: 0.074, weighted_recall: 0.7218, number_of_instances: 20000, precision: 0.7235, predictive_accuracy: 0.7218, prior_entropy: 4.6998, relative_absolute_error: 0.6099, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1363, root_relative_squared_error: 0.7087, unweighted_recall: 0.7201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9664, f_measure: 0.7206, kappa: 0.7107, kb_relative_information_score: 0.6522, mean_absolute_error: 0.0451, mean_prior_absolute_error: 0.074, weighted_recall: 0.7218, number_of_instances: 20000, precision: 0.7235, predictive_accuracy: 0.7218, prior_entropy: 4.6998, relative_absolute_error: 0.6099, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1363, root_relative_squared_error: 0.7087, unweighted_recall: 0.7201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9667, f_measure: 0.7221, kappa: 0.7116, kb_relative_information_score: 0.6591, mean_absolute_error: 0.0443, mean_prior_absolute_error: 0.074, weighted_recall: 0.7227, number_of_instances: 20000, precision: 0.7255, predictive_accuracy: 0.7227, prior_entropy: 4.6998, relative_absolute_error: 0.5985, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1352, root_relative_squared_error: 0.7032, unweighted_recall: 0.721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9432, f_measure: 0.5952, kappa: 0.6046, kb_relative_information_score: 0.3579, mean_absolute_error: 0.0655, mean_prior_absolute_error: 0.074, weighted_recall: 0.6199, number_of_instances: 20000, precision: 0.6191, predictive_accuracy: 0.6199, prior_entropy: 4.6998, relative_absolute_error: 0.8861, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1733, root_relative_squared_error: 0.9013, unweighted_recall: 0.6177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9432, f_measure: 0.5952, kappa: 0.6046, kb_relative_information_score: 0.3579, mean_absolute_error: 0.0655, mean_prior_absolute_error: 0.074, weighted_recall: 0.6199, number_of_instances: 20000, precision: 0.6191, predictive_accuracy: 0.6199, prior_entropy: 4.6998, relative_absolute_error: 0.8861, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1733, root_relative_squared_error: 0.9013, unweighted_recall: 0.6177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9667, f_measure: 0.7221, kappa: 0.7116, kb_relative_information_score: 0.6591, mean_absolute_error: 0.0443, mean_prior_absolute_error: 0.074, weighted_recall: 0.7227, number_of_instances: 20000, precision: 0.7255, predictive_accuracy: 0.7227, prior_entropy: 4.6998, relative_absolute_error: 0.5985, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1352, root_relative_squared_error: 0.7031, unweighted_recall: 0.721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9432, f_measure: 0.5952, kappa: 0.6046, kb_relative_information_score: 0.3579, mean_absolute_error: 0.0655, mean_prior_absolute_error: 0.074, weighted_recall: 0.6199, number_of_instances: 20000, precision: 0.6191, predictive_accuracy: 0.6199, prior_entropy: 4.6998, relative_absolute_error: 0.8861, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1733, root_relative_squared_error: 0.9013, unweighted_recall: 0.6177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9432, f_measure: 0.5952, kappa: 0.6046, kb_relative_information_score: 0.3579, mean_absolute_error: 0.0655, mean_prior_absolute_error: 0.074, weighted_recall: 0.6199, number_of_instances: 20000, precision: 0.6191, predictive_accuracy: 0.6199, prior_entropy: 4.6998, relative_absolute_error: 0.8861, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1733, root_relative_squared_error: 0.9013, unweighted_recall: 0.6177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9664, f_measure: 0.7206, kappa: 0.7107, kb_relative_information_score: 0.6522, mean_absolute_error: 0.0451, mean_prior_absolute_error: 0.074, weighted_recall: 0.7218, number_of_instances: 20000, precision: 0.7235, predictive_accuracy: 0.7218, prior_entropy: 4.6998, relative_absolute_error: 0.6099, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1363, root_relative_squared_error: 0.7087, unweighted_recall: 0.7201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9664, f_measure: 0.7206, kappa: 0.7107, kb_relative_information_score: 0.6522, mean_absolute_error: 0.0451, mean_prior_absolute_error: 0.074, weighted_recall: 0.7218, number_of_instances: 20000, precision: 0.7235, predictive_accuracy: 0.7218, prior_entropy: 4.6998, relative_absolute_error: 0.6099, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1363, root_relative_squared_error: 0.7087, unweighted_recall: 0.7201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9664, f_measure: 0.7206, kappa: 0.7107, kb_relative_information_score: 0.6522, mean_absolute_error: 0.0451, mean_prior_absolute_error: 0.074, weighted_recall: 0.7218, number_of_instances: 20000, precision: 0.7235, predictive_accuracy: 0.7218, prior_entropy: 4.6998, relative_absolute_error: 0.6099, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1363, root_relative_squared_error: 0.7087, unweighted_recall: 0.7201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9664, f_measure: 0.7206, kappa: 0.7107, kb_relative_information_score: 0.6522, mean_absolute_error: 0.0451, mean_prior_absolute_error: 0.074, weighted_recall: 0.7218, number_of_instances: 20000, precision: 0.7235, predictive_accuracy: 0.7218, prior_entropy: 4.6998, relative_absolute_error: 0.6099, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1363, root_relative_squared_error: 0.7087, unweighted_recall: 0.7201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9667, f_measure: 0.7221, kappa: 0.7116, kb_relative_information_score: 0.6591, mean_absolute_error: 0.0443, mean_prior_absolute_error: 0.074, weighted_recall: 0.7227, number_of_instances: 20000, precision: 0.7255, predictive_accuracy: 0.7227, prior_entropy: 4.6998, relative_absolute_error: 0.5985, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1352, root_relative_squared_error: 0.7032, unweighted_recall: 0.721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9664, f_measure: 0.7206, kappa: 0.7107, kb_relative_information_score: 0.6522, mean_absolute_error: 0.0451, mean_prior_absolute_error: 0.074, weighted_recall: 0.7218, number_of_instances: 20000, precision: 0.7235, predictive_accuracy: 0.7218, prior_entropy: 4.6998, relative_absolute_error: 0.6099, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1363, root_relative_squared_error: 0.7087, unweighted_recall: 0.7201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9664, f_measure: 0.7204, kappa: 0.7107, kb_relative_information_score: 0.6407, mean_absolute_error: 0.0465, mean_prior_absolute_error: 0.074, weighted_recall: 0.7218, number_of_instances: 20000, precision: 0.724, predictive_accuracy: 0.7218, prior_entropy: 4.6998, relative_absolute_error: 0.6282, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.138, root_relative_squared_error: 0.7176, unweighted_recall: 0.7201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9667, f_measure: 0.7221, kappa: 0.7116, kb_relative_information_score: 0.6591, mean_absolute_error: 0.0443, mean_prior_absolute_error: 0.074, weighted_recall: 0.7227, number_of_instances: 20000, precision: 0.7255, predictive_accuracy: 0.7227, prior_entropy: 4.6998, relative_absolute_error: 0.5985, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1352, root_relative_squared_error: 0.7031, unweighted_recall: 0.721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9432, f_measure: 0.5952, kappa: 0.6046, kb_relative_information_score: 0.3579, mean_absolute_error: 0.0655, mean_prior_absolute_error: 0.074, weighted_recall: 0.6199, number_of_instances: 20000, precision: 0.6191, predictive_accuracy: 0.6199, prior_entropy: 4.6998, relative_absolute_error: 0.8861, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1733, root_relative_squared_error: 0.9013, unweighted_recall: 0.6177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9664, f_measure: 0.7206, kappa: 0.7107, kb_relative_information_score: 0.6522, mean_absolute_error: 0.0451, mean_prior_absolute_error: 0.074, weighted_recall: 0.7218, number_of_instances: 20000, precision: 0.7235, predictive_accuracy: 0.7218, prior_entropy: 4.6998, relative_absolute_error: 0.6099, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1363, root_relative_squared_error: 0.7087, unweighted_recall: 0.7201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9664, f_measure: 0.7206, kappa: 0.7107, kb_relative_information_score: 0.6522, mean_absolute_error: 0.0451, mean_prior_absolute_error: 0.074, weighted_recall: 0.7218, number_of_instances: 20000, precision: 0.7235, predictive_accuracy: 0.7218, prior_entropy: 4.6998, relative_absolute_error: 0.6099, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1363, root_relative_squared_error: 0.7087, unweighted_recall: 0.7201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9664, f_measure: 0.7206, kappa: 0.7107, kb_relative_information_score: 0.6522, mean_absolute_error: 0.0451, mean_prior_absolute_error: 0.074, weighted_recall: 0.7218, number_of_instances: 20000, precision: 0.7235, predictive_accuracy: 0.7218, prior_entropy: 4.6998, relative_absolute_error: 0.6099, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1363, root_relative_squared_error: 0.7087, unweighted_recall: 0.7201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9664, f_measure: 0.7206, kappa: 0.7107, kb_relative_information_score: 0.6522, mean_absolute_error: 0.0451, mean_prior_absolute_error: 0.074, weighted_recall: 0.7218, number_of_instances: 20000, precision: 0.7235, predictive_accuracy: 0.7218, prior_entropy: 4.6998, relative_absolute_error: 0.6099, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1363, root_relative_squared_error: 0.7087, unweighted_recall: 0.7201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9664, f_measure: 0.7206, kappa: 0.7107, kb_relative_information_score: 0.6522, mean_absolute_error: 0.0451, mean_prior_absolute_error: 0.074, weighted_recall: 0.7218, number_of_instances: 20000, precision: 0.7235, predictive_accuracy: 0.7218, prior_entropy: 4.6998, relative_absolute_error: 0.6099, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1363, root_relative_squared_error: 0.7087, unweighted_recall: 0.7201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9667, f_measure: 0.7221, kappa: 0.7117, kb_relative_information_score: 0.6569, mean_absolute_error: 0.0445, mean_prior_absolute_error: 0.074, weighted_recall: 0.7228, number_of_instances: 20000, precision: 0.7253, predictive_accuracy: 0.7228, prior_entropy: 4.6998, relative_absolute_error: 0.6023, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1355, root_relative_squared_error: 0.7048, unweighted_recall: 0.7211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9664, f_measure: 0.7206, kappa: 0.7107, kb_relative_information_score: 0.6522, mean_absolute_error: 0.0451, mean_prior_absolute_error: 0.074, weighted_recall: 0.7218, number_of_instances: 20000, precision: 0.7235, predictive_accuracy: 0.7218, prior_entropy: 4.6998, relative_absolute_error: 0.6099, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1363, root_relative_squared_error: 0.7087, unweighted_recall: 0.7201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9667, f_measure: 0.7221, kappa: 0.7116, kb_relative_information_score: 0.6591, mean_absolute_error: 0.0443, mean_prior_absolute_error: 0.074, weighted_recall: 0.7227, number_of_instances: 20000, precision: 0.7255, predictive_accuracy: 0.7227, prior_entropy: 4.6998, relative_absolute_error: 0.5985, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1352, root_relative_squared_error: 0.7031, unweighted_recall: 0.721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9432, f_measure: 0.5952, kappa: 0.6046, kb_relative_information_score: 0.3579, mean_absolute_error: 0.0655, mean_prior_absolute_error: 0.074, weighted_recall: 0.6199, number_of_instances: 20000, precision: 0.6191, predictive_accuracy: 0.6199, prior_entropy: 4.6998, relative_absolute_error: 0.8861, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1733, root_relative_squared_error: 0.9013, unweighted_recall: 0.6177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9664, f_measure: 0.7206, kappa: 0.7107, kb_relative_information_score: 0.6522, mean_absolute_error: 0.0451, mean_prior_absolute_error: 0.074, weighted_recall: 0.7218, number_of_instances: 20000, precision: 0.7235, predictive_accuracy: 0.7218, prior_entropy: 4.6998, relative_absolute_error: 0.6099, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1363, root_relative_squared_error: 0.7087, unweighted_recall: 0.7201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9664, f_measure: 0.7206, kappa: 0.7107, kb_relative_information_score: 0.6522, mean_absolute_error: 0.0451, mean_prior_absolute_error: 0.074, weighted_recall: 0.7218, number_of_instances: 20000, precision: 0.7235, predictive_accuracy: 0.7218, prior_entropy: 4.6998, relative_absolute_error: 0.6099, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1363, root_relative_squared_error: 0.7087, unweighted_recall: 0.7201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9667, f_measure: 0.722, kappa: 0.7115, kb_relative_information_score: 0.6588, mean_absolute_error: 0.0443, mean_prior_absolute_error: 0.074, weighted_recall: 0.7226, number_of_instances: 20000, precision: 0.7254, predictive_accuracy: 0.7226, prior_entropy: 4.6998, relative_absolute_error: 0.599, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1353, root_relative_squared_error: 0.7034, unweighted_recall: 0.7209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9664, f_measure: 0.7206, kappa: 0.7107, kb_relative_information_score: 0.6522, mean_absolute_error: 0.0451, mean_prior_absolute_error: 0.074, weighted_recall: 0.7218, number_of_instances: 20000, precision: 0.7235, predictive_accuracy: 0.7218, prior_entropy: 4.6998, relative_absolute_error: 0.6099, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1363, root_relative_squared_error: 0.7087, unweighted_recall: 0.7201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9664, f_measure: 0.7206, kappa: 0.7107, kb_relative_information_score: 0.6522, mean_absolute_error: 0.0451, mean_prior_absolute_error: 0.074, weighted_recall: 0.7218, number_of_instances: 20000, precision: 0.7235, predictive_accuracy: 0.7218, prior_entropy: 4.6998, relative_absolute_error: 0.6099, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1363, root_relative_squared_error: 0.7087, unweighted_recall: 0.7201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9432, f_measure: 0.5952, kappa: 0.6046, kb_relative_information_score: 0.3579, mean_absolute_error: 0.0655, mean_prior_absolute_error: 0.074, weighted_recall: 0.6199, number_of_instances: 20000, precision: 0.6191, predictive_accuracy: 0.6199, prior_entropy: 4.6998, relative_absolute_error: 0.8861, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1733, root_relative_squared_error: 0.9013, unweighted_recall: 0.6177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9664, f_measure: 0.7206, kappa: 0.7107, kb_relative_information_score: 0.6522, mean_absolute_error: 0.0451, mean_prior_absolute_error: 0.074, weighted_recall: 0.7218, number_of_instances: 20000, precision: 0.7235, predictive_accuracy: 0.7218, prior_entropy: 4.6998, relative_absolute_error: 0.6099, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1363, root_relative_squared_error: 0.7087, unweighted_recall: 0.7201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9667, f_measure: 0.7221, kappa: 0.7117, kb_relative_information_score: 0.6569, mean_absolute_error: 0.0445, mean_prior_absolute_error: 0.074, weighted_recall: 0.7228, number_of_instances: 20000, precision: 0.7253, predictive_accuracy: 0.7228, prior_entropy: 4.6998, relative_absolute_error: 0.6023, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1355, root_relative_squared_error: 0.7048, unweighted_recall: 0.7211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9432, f_measure: 0.5952, kappa: 0.6046, kb_relative_information_score: 0.3579, mean_absolute_error: 0.0655, mean_prior_absolute_error: 0.074, weighted_recall: 0.6199, number_of_instances: 20000, precision: 0.6191, predictive_accuracy: 0.6199, prior_entropy: 4.6998, relative_absolute_error: 0.8861, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1733, root_relative_squared_error: 0.9013, unweighted_recall: 0.6177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9664, f_measure: 0.7206, kappa: 0.7107, kb_relative_information_score: 0.6522, mean_absolute_error: 0.0451, mean_prior_absolute_error: 0.074, weighted_recall: 0.7218, number_of_instances: 20000, precision: 0.7235, predictive_accuracy: 0.7218, prior_entropy: 4.6998, relative_absolute_error: 0.6099, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1363, root_relative_squared_error: 0.7087, unweighted_recall: 0.7201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9672, f_measure: 0.7166, kappa: 0.7067, kb_relative_information_score: 0.6616, mean_absolute_error: 0.044, mean_prior_absolute_error: 0.074, weighted_recall: 0.718, number_of_instances: 20000, precision: 0.7203, predictive_accuracy: 0.718, prior_entropy: 4.6998, relative_absolute_error: 0.5949, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1351, root_relative_squared_error: 0.7024, unweighted_recall: 0.7163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9664, f_measure: 0.7206, kappa: 0.7107, kb_relative_information_score: 0.6522, mean_absolute_error: 0.0451, mean_prior_absolute_error: 0.074, weighted_recall: 0.7218, number_of_instances: 20000, precision: 0.7235, predictive_accuracy: 0.7218, prior_entropy: 4.6998, relative_absolute_error: 0.6099, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1363, root_relative_squared_error: 0.7087, unweighted_recall: 0.7201,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9664, f_measure: 0.7206, kappa: 0.7107, kb_relative_information_score: 0.6522, mean_absolute_error: 0.0451, mean_prior_absolute_error: 0.074, weighted_recall: 0.7218, number_of_instances: 20000, precision: 0.7235, predictive_accuracy: 0.7218, prior_entropy: 4.6998, relative_absolute_error: 0.6099, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1363, root_relative_squared_error: 0.7087, unweighted_recall: 0.7201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9667, f_measure: 0.7221, kappa: 0.7116, kb_relative_information_score: 0.6591, mean_absolute_error: 0.0443, mean_prior_absolute_error: 0.074, weighted_recall: 0.7227, number_of_instances: 20000, precision: 0.7255, predictive_accuracy: 0.7227, prior_entropy: 4.6998, relative_absolute_error: 0.5985, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1352, root_relative_squared_error: 0.7031, unweighted_recall: 0.721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9664, f_measure: 0.7206, kappa: 0.7107, kb_relative_information_score: 0.6522, mean_absolute_error: 0.0451, mean_prior_absolute_error: 0.074, weighted_recall: 0.7218, number_of_instances: 20000, precision: 0.7235, predictive_accuracy: 0.7218, prior_entropy: 4.6998, relative_absolute_error: 0.6099, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1363, root_relative_squared_error: 0.7087, unweighted_recall: 0.7201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9664, f_measure: 0.7206, kappa: 0.7107, kb_relative_information_score: 0.6522, mean_absolute_error: 0.0451, mean_prior_absolute_error: 0.074, weighted_recall: 0.7218, number_of_instances: 20000, precision: 0.7235, predictive_accuracy: 0.7218, prior_entropy: 4.6998, relative_absolute_error: 0.6099, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1363, root_relative_squared_error: 0.7087, unweighted_recall: 0.7201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9664, f_measure: 0.7206, kappa: 0.7107, kb_relative_information_score: 0.6522, mean_absolute_error: 0.0451, mean_prior_absolute_error: 0.074, weighted_recall: 0.7218, number_of_instances: 20000, precision: 0.7235, predictive_accuracy: 0.7218, prior_entropy: 4.6998, relative_absolute_error: 0.6099, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1363, root_relative_squared_error: 0.7087, unweighted_recall: 0.7201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9664, f_measure: 0.7206, kappa: 0.7107, kb_relative_information_score: 0.6522, mean_absolute_error: 0.0451, mean_prior_absolute_error: 0.074, weighted_recall: 0.7218, number_of_instances: 20000, precision: 0.7235, predictive_accuracy: 0.7218, prior_entropy: 4.6998, relative_absolute_error: 0.6099, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1363, root_relative_squared_error: 0.7087, unweighted_recall: 0.7201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9664, f_measure: 0.7204, kappa: 0.7107, kb_relative_information_score: 0.6407, mean_absolute_error: 0.0465, mean_prior_absolute_error: 0.074, weighted_recall: 0.7218, number_of_instances: 20000, precision: 0.724, predictive_accuracy: 0.7218, prior_entropy: 4.6998, relative_absolute_error: 0.6282, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.138, root_relative_squared_error: 0.7176, unweighted_recall: 0.7201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9664, f_measure: 0.7206, kappa: 0.7107, kb_relative_information_score: 0.6522, mean_absolute_error: 0.0451, mean_prior_absolute_error: 0.074, weighted_recall: 0.7218, number_of_instances: 20000, precision: 0.7235, predictive_accuracy: 0.7218, prior_entropy: 4.6998, relative_absolute_error: 0.6099, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1363, root_relative_squared_error: 0.7087, unweighted_recall: 0.7201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9664, f_measure: 0.7206, kappa: 0.7107, kb_relative_information_score: 0.6522, mean_absolute_error: 0.0451, mean_prior_absolute_error: 0.074, weighted_recall: 0.7218, number_of_instances: 20000, precision: 0.7235, predictive_accuracy: 0.7218, prior_entropy: 4.6998, relative_absolute_error: 0.6099, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1363, root_relative_squared_error: 0.7087, unweighted_recall: 0.7201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9667, f_measure: 0.7222, kappa: 0.7117, kb_relative_information_score: 0.6589, mean_absolute_error: 0.0443, mean_prior_absolute_error: 0.074, weighted_recall: 0.7228, number_of_instances: 20000, precision: 0.7256, predictive_accuracy: 0.7228, prior_entropy: 4.6998, relative_absolute_error: 0.5989, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1353, root_relative_squared_error: 0.7033, unweighted_recall: 0.7211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9619, f_measure: 0.7014, kappa: 0.6946, kb_relative_information_score: 0.5633, mean_absolute_error: 0.0537, mean_prior_absolute_error: 0.074, weighted_recall: 0.7064, number_of_instances: 20000, precision: 0.7068, predictive_accuracy: 0.7064, prior_entropy: 4.6998, relative_absolute_error: 0.7257, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1499, root_relative_squared_error: 0.7794, unweighted_recall: 0.7044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9664, f_measure: 0.7206, kappa: 0.7107, kb_relative_information_score: 0.6522, mean_absolute_error: 0.0451, mean_prior_absolute_error: 0.074, weighted_recall: 0.7218, number_of_instances: 20000, precision: 0.7235, predictive_accuracy: 0.7218, prior_entropy: 4.6998, relative_absolute_error: 0.6099, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1363, root_relative_squared_error: 0.7087, unweighted_recall: 0.7201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9664, f_measure: 0.7206, kappa: 0.7107, kb_relative_information_score: 0.6522, mean_absolute_error: 0.0451, mean_prior_absolute_error: 0.074, weighted_recall: 0.7218, number_of_instances: 20000, precision: 0.7235, predictive_accuracy: 0.7218, prior_entropy: 4.6998, relative_absolute_error: 0.6099, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1363, root_relative_squared_error: 0.7087, unweighted_recall: 0.7201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9664, f_measure: 0.7206, kappa: 0.7107, kb_relative_information_score: 0.6522, mean_absolute_error: 0.0451, mean_prior_absolute_error: 0.074, weighted_recall: 0.7218, number_of_instances: 20000, precision: 0.7235, predictive_accuracy: 0.7218, prior_entropy: 4.6998, relative_absolute_error: 0.6099, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1363, root_relative_squared_error: 0.7087, unweighted_recall: 0.7201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9664, f_measure: 0.7206, kappa: 0.7107, kb_relative_information_score: 0.6522, mean_absolute_error: 0.0451, mean_prior_absolute_error: 0.074, weighted_recall: 0.7218, number_of_instances: 20000, precision: 0.7235, predictive_accuracy: 0.7218, prior_entropy: 4.6998, relative_absolute_error: 0.6099, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1363, root_relative_squared_error: 0.7087, unweighted_recall: 0.7201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9667, f_measure: 0.7221, kappa: 0.7116, kb_relative_information_score: 0.6591, mean_absolute_error: 0.0443, mean_prior_absolute_error: 0.074, weighted_recall: 0.7227, number_of_instances: 20000, precision: 0.7255, predictive_accuracy: 0.7227, prior_entropy: 4.6998, relative_absolute_error: 0.5985, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1352, root_relative_squared_error: 0.7031, unweighted_recall: 0.721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9664, f_measure: 0.7204, kappa: 0.7107, kb_relative_information_score: 0.6407, mean_absolute_error: 0.0465, mean_prior_absolute_error: 0.074, weighted_recall: 0.7218, number_of_instances: 20000, precision: 0.724, predictive_accuracy: 0.7218, prior_entropy: 4.6998, relative_absolute_error: 0.6282, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.138, root_relative_squared_error: 0.7176, unweighted_recall: 0.7201,

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