OpenML
Supervised Classification on ilpd

Supervised Classification on ilpd

Task 9971 Supervised Classification ilpd 123042 runs submitted
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  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_50 study_7 study_98 study_99
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123042 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7482, f_measure: 0.6384, kappa: 0.0777, kb_relative_information_score: 0.0985, mean_absolute_error: 0.3539, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7101, number_of_instances: 583, precision: 0.6542, predictive_accuracy: 0.7101, prior_entropy: 0.8641, relative_absolute_error: 0.8651, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4163, root_relative_squared_error: 0.9209, unweighted_recall: 0.5299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7482, f_measure: 0.6384, kappa: 0.0777, kb_relative_information_score: 0.0985, mean_absolute_error: 0.3539, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7101, number_of_instances: 583, precision: 0.6542, predictive_accuracy: 0.7101, prior_entropy: 0.8641, relative_absolute_error: 0.8651, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4163, root_relative_squared_error: 0.9209, unweighted_recall: 0.5299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7482, f_measure: 0.6384, kappa: 0.0777, kb_relative_information_score: 0.0985, mean_absolute_error: 0.3539, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7101, number_of_instances: 583, precision: 0.6542, predictive_accuracy: 0.7101, prior_entropy: 0.8641, relative_absolute_error: 0.8651, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4163, root_relative_squared_error: 0.9209, unweighted_recall: 0.5299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7482, f_measure: 0.6384, kappa: 0.0777, kb_relative_information_score: 0.0985, mean_absolute_error: 0.3539, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7101, number_of_instances: 583, precision: 0.6542, predictive_accuracy: 0.7101, prior_entropy: 0.8641, relative_absolute_error: 0.8651, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4163, root_relative_squared_error: 0.9209, unweighted_recall: 0.5299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7482, f_measure: 0.6384, kappa: 0.0777, kb_relative_information_score: 0.0985, mean_absolute_error: 0.3539, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7101, number_of_instances: 583, precision: 0.6542, predictive_accuracy: 0.7101, prior_entropy: 0.8641, relative_absolute_error: 0.8651, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4163, root_relative_squared_error: 0.9209, unweighted_recall: 0.5299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7482, f_measure: 0.6384, kappa: 0.0777, kb_relative_information_score: 0.0985, mean_absolute_error: 0.3539, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7101, number_of_instances: 583, precision: 0.6542, predictive_accuracy: 0.7101, prior_entropy: 0.8641, relative_absolute_error: 0.8651, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4163, root_relative_squared_error: 0.9209, unweighted_recall: 0.5299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7482, f_measure: 0.6384, kappa: 0.0777, kb_relative_information_score: 0.0985, mean_absolute_error: 0.3539, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7101, number_of_instances: 583, precision: 0.6542, predictive_accuracy: 0.7101, prior_entropy: 0.8641, relative_absolute_error: 0.8651, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4163, root_relative_squared_error: 0.9209, unweighted_recall: 0.5299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7482, f_measure: 0.6384, kappa: 0.0777, kb_relative_information_score: 0.0985, mean_absolute_error: 0.3539, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7101, number_of_instances: 583, precision: 0.6542, predictive_accuracy: 0.7101, prior_entropy: 0.8641, relative_absolute_error: 0.8651, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4163, root_relative_squared_error: 0.9209, unweighted_recall: 0.5299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7482, f_measure: 0.6384, kappa: 0.0777, kb_relative_information_score: 0.0985, mean_absolute_error: 0.3539, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7101, number_of_instances: 583, precision: 0.6542, predictive_accuracy: 0.7101, prior_entropy: 0.8641, relative_absolute_error: 0.8651, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4163, root_relative_squared_error: 0.9209, unweighted_recall: 0.5299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7482, f_measure: 0.6384, kappa: 0.0777, kb_relative_information_score: 0.0985, mean_absolute_error: 0.3539, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7101, number_of_instances: 583, precision: 0.6542, predictive_accuracy: 0.7101, prior_entropy: 0.8641, relative_absolute_error: 0.8651, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4163, root_relative_squared_error: 0.9209, unweighted_recall: 0.5299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7482, f_measure: 0.6384, kappa: 0.0777, kb_relative_information_score: 0.0985, mean_absolute_error: 0.3539, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7101, number_of_instances: 583, precision: 0.6542, predictive_accuracy: 0.7101, prior_entropy: 0.8641, relative_absolute_error: 0.8651, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4163, root_relative_squared_error: 0.9209, unweighted_recall: 0.5299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7482, f_measure: 0.6384, kappa: 0.0777, kb_relative_information_score: 0.0985, mean_absolute_error: 0.3539, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7101, number_of_instances: 583, precision: 0.6542, predictive_accuracy: 0.7101, prior_entropy: 0.8641, relative_absolute_error: 0.8651, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4163, root_relative_squared_error: 0.9209, unweighted_recall: 0.5299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7482, f_measure: 0.6384, kappa: 0.0777, kb_relative_information_score: 0.0985, mean_absolute_error: 0.3539, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7101, number_of_instances: 583, precision: 0.6542, predictive_accuracy: 0.7101, prior_entropy: 0.8641, relative_absolute_error: 0.8651, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4163, root_relative_squared_error: 0.9209, unweighted_recall: 0.5299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7482, f_measure: 0.6384, kappa: 0.0777, kb_relative_information_score: 0.0985, mean_absolute_error: 0.3539, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7101, number_of_instances: 583, precision: 0.6542, predictive_accuracy: 0.7101, prior_entropy: 0.8641, relative_absolute_error: 0.8651, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4163, root_relative_squared_error: 0.9209, unweighted_recall: 0.5299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7482, f_measure: 0.6384, kappa: 0.0777, kb_relative_information_score: 0.0985, mean_absolute_error: 0.3539, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7101, number_of_instances: 583, precision: 0.6542, predictive_accuracy: 0.7101, prior_entropy: 0.8641, relative_absolute_error: 0.8651, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4163, root_relative_squared_error: 0.9209, unweighted_recall: 0.5299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7482, f_measure: 0.6384, kappa: 0.0777, kb_relative_information_score: 0.0985, mean_absolute_error: 0.3539, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7101, number_of_instances: 583, precision: 0.6542, predictive_accuracy: 0.7101, prior_entropy: 0.8641, relative_absolute_error: 0.8651, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4163, root_relative_squared_error: 0.9209, unweighted_recall: 0.5299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7482, f_measure: 0.6384, kappa: 0.0777, kb_relative_information_score: 0.0985, mean_absolute_error: 0.3539, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7101, number_of_instances: 583, precision: 0.6542, predictive_accuracy: 0.7101, prior_entropy: 0.8641, relative_absolute_error: 0.8651, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4163, root_relative_squared_error: 0.9209, unweighted_recall: 0.5299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7482, f_measure: 0.6384, kappa: 0.0777, kb_relative_information_score: 0.0985, mean_absolute_error: 0.3539, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7101, number_of_instances: 583, precision: 0.6542, predictive_accuracy: 0.7101, prior_entropy: 0.8641, relative_absolute_error: 0.8651, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4163, root_relative_squared_error: 0.9209, unweighted_recall: 0.5299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7493, f_measure: 0.6574, kappa: 0.1213, kb_relative_information_score: 0.0933, mean_absolute_error: 0.3552, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7136, number_of_instances: 583, precision: 0.6679, predictive_accuracy: 0.7136, prior_entropy: 0.8641, relative_absolute_error: 0.8683, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4158, root_relative_squared_error: 0.9197, unweighted_recall: 0.5484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7493, f_measure: 0.6574, kappa: 0.1213, kb_relative_information_score: 0.0933, mean_absolute_error: 0.3552, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7136, number_of_instances: 583, precision: 0.6679, predictive_accuracy: 0.7136, prior_entropy: 0.8641, relative_absolute_error: 0.8683, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4158, root_relative_squared_error: 0.9197, unweighted_recall: 0.5484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7493, f_measure: 0.6574, kappa: 0.1213, kb_relative_information_score: 0.0933, mean_absolute_error: 0.3552, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7136, number_of_instances: 583, precision: 0.6679, predictive_accuracy: 0.7136, prior_entropy: 0.8641, relative_absolute_error: 0.8683, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4158, root_relative_squared_error: 0.9197, unweighted_recall: 0.5484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7493, f_measure: 0.6574, kappa: 0.1213, kb_relative_information_score: 0.0933, mean_absolute_error: 0.3552, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7136, number_of_instances: 583, precision: 0.6679, predictive_accuracy: 0.7136, prior_entropy: 0.8641, relative_absolute_error: 0.8683, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4158, root_relative_squared_error: 0.9197, unweighted_recall: 0.5484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7493, f_measure: 0.6574, kappa: 0.1213, kb_relative_information_score: 0.0933, mean_absolute_error: 0.3552, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7136, number_of_instances: 583, precision: 0.6679, predictive_accuracy: 0.7136, prior_entropy: 0.8641, relative_absolute_error: 0.8683, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4158, root_relative_squared_error: 0.9197, unweighted_recall: 0.5484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7493, f_measure: 0.6574, kappa: 0.1213, kb_relative_information_score: 0.0933, mean_absolute_error: 0.3552, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7136, number_of_instances: 583, precision: 0.6679, predictive_accuracy: 0.7136, prior_entropy: 0.8641, relative_absolute_error: 0.8683, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4158, root_relative_squared_error: 0.9197, unweighted_recall: 0.5484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7493, f_measure: 0.6574, kappa: 0.1213, kb_relative_information_score: 0.0933, mean_absolute_error: 0.3552, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7136, number_of_instances: 583, precision: 0.6679, predictive_accuracy: 0.7136, prior_entropy: 0.8641, relative_absolute_error: 0.8683, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4158, root_relative_squared_error: 0.9197, unweighted_recall: 0.5484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7493, f_measure: 0.6574, kappa: 0.1213, kb_relative_information_score: 0.0933, mean_absolute_error: 0.3552, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7136, number_of_instances: 583, precision: 0.6679, predictive_accuracy: 0.7136, prior_entropy: 0.8641, relative_absolute_error: 0.8683, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4158, root_relative_squared_error: 0.9197, unweighted_recall: 0.5484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7493, f_measure: 0.692, kappa: 0.2097, kb_relative_information_score: 0.1213, mean_absolute_error: 0.3406, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7256, number_of_instances: 583, precision: 0.6947, predictive_accuracy: 0.7256, prior_entropy: 0.8641, relative_absolute_error: 0.8324, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4153, root_relative_squared_error: 0.9187, unweighted_recall: 0.5891,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7493, f_measure: 0.692, kappa: 0.2097, kb_relative_information_score: 0.1213, mean_absolute_error: 0.3406, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7256, number_of_instances: 583, precision: 0.6947, predictive_accuracy: 0.7256, prior_entropy: 0.8641, relative_absolute_error: 0.8324, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4153, root_relative_squared_error: 0.9187, unweighted_recall: 0.5891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7493, f_measure: 0.692, kappa: 0.2097, kb_relative_information_score: 0.1213, mean_absolute_error: 0.3406, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7256, number_of_instances: 583, precision: 0.6947, predictive_accuracy: 0.7256, prior_entropy: 0.8641, relative_absolute_error: 0.8324, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4153, root_relative_squared_error: 0.9187, unweighted_recall: 0.5891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7493, f_measure: 0.692, kappa: 0.2097, kb_relative_information_score: 0.1213, mean_absolute_error: 0.3406, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7256, number_of_instances: 583, precision: 0.6947, predictive_accuracy: 0.7256, prior_entropy: 0.8641, relative_absolute_error: 0.8324, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4153, root_relative_squared_error: 0.9187, unweighted_recall: 0.5891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.753, f_measure: 0.6844, kappa: 0.1893, kb_relative_information_score: 0.1168, mean_absolute_error: 0.3436, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7238, number_of_instances: 583, precision: 0.6904, predictive_accuracy: 0.7238, prior_entropy: 0.8641, relative_absolute_error: 0.8399, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4131, root_relative_squared_error: 0.9136, unweighted_recall: 0.5789,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.753, f_measure: 0.6844, kappa: 0.1893, kb_relative_information_score: 0.1168, mean_absolute_error: 0.3436, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7238, number_of_instances: 583, precision: 0.6904, predictive_accuracy: 0.7238, prior_entropy: 0.8641, relative_absolute_error: 0.8399, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4131, root_relative_squared_error: 0.9136, unweighted_recall: 0.5789,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7534, f_measure: 0.6857, kappa: 0.1926, kb_relative_information_score: 0.1193, mean_absolute_error: 0.3424, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7256, number_of_instances: 583, precision: 0.6928, predictive_accuracy: 0.7256, prior_entropy: 0.8641, relative_absolute_error: 0.837, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.413, root_relative_squared_error: 0.9134, unweighted_recall: 0.5801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7534, f_measure: 0.6857, kappa: 0.1926, kb_relative_information_score: 0.1193, mean_absolute_error: 0.3424, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7256, number_of_instances: 583, precision: 0.6928, predictive_accuracy: 0.7256, prior_entropy: 0.8641, relative_absolute_error: 0.837, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.413, root_relative_squared_error: 0.9134, unweighted_recall: 0.5801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7534, f_measure: 0.6857, kappa: 0.1926, kb_relative_information_score: 0.1193, mean_absolute_error: 0.3424, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7256, number_of_instances: 583, precision: 0.6928, predictive_accuracy: 0.7256, prior_entropy: 0.8641, relative_absolute_error: 0.837, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.413, root_relative_squared_error: 0.9134, unweighted_recall: 0.5801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7534, f_measure: 0.6857, kappa: 0.1926, kb_relative_information_score: 0.1193, mean_absolute_error: 0.3424, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7256, number_of_instances: 583, precision: 0.6928, predictive_accuracy: 0.7256, prior_entropy: 0.8641, relative_absolute_error: 0.837, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.413, root_relative_squared_error: 0.9134, unweighted_recall: 0.5801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7534, f_measure: 0.6857, kappa: 0.1926, kb_relative_information_score: 0.1193, mean_absolute_error: 0.3424, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7256, number_of_instances: 583, precision: 0.6928, predictive_accuracy: 0.7256, prior_entropy: 0.8641, relative_absolute_error: 0.837, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.413, root_relative_squared_error: 0.9134, unweighted_recall: 0.5801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7534, f_measure: 0.6857, kappa: 0.1926, kb_relative_information_score: 0.1193, mean_absolute_error: 0.3424, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7256, number_of_instances: 583, precision: 0.6928, predictive_accuracy: 0.7256, prior_entropy: 0.8641, relative_absolute_error: 0.837, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.413, root_relative_squared_error: 0.9134, unweighted_recall: 0.5801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7195, kb_relative_information_score: 0.0167, mean_absolute_error: 0.3997, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7136, number_of_instances: 583, predictive_accuracy: 0.7136, prior_entropy: 0.8641, relative_absolute_error: 0.9769, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4432, root_relative_squared_error: 0.9802, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7195, kb_relative_information_score: 0.0167, mean_absolute_error: 0.3997, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7136, number_of_instances: 583, predictive_accuracy: 0.7136, prior_entropy: 0.8641, relative_absolute_error: 0.9769, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4432, root_relative_squared_error: 0.9802, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7195, kb_relative_information_score: 0.0167, mean_absolute_error: 0.3997, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7136, number_of_instances: 583, predictive_accuracy: 0.7136, prior_entropy: 0.8641, relative_absolute_error: 0.9769, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4432, root_relative_squared_error: 0.9802, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7195, kb_relative_information_score: 0.0167, mean_absolute_error: 0.3997, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7136, number_of_instances: 583, predictive_accuracy: 0.7136, prior_entropy: 0.8641, relative_absolute_error: 0.9769, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4432, root_relative_squared_error: 0.9802, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7195, kb_relative_information_score: 0.0167, mean_absolute_error: 0.3997, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7136, number_of_instances: 583, predictive_accuracy: 0.7136, prior_entropy: 0.8641, relative_absolute_error: 0.9769, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4432, root_relative_squared_error: 0.9802, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7195, kb_relative_information_score: 0.0167, mean_absolute_error: 0.3997, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7136, number_of_instances: 583, predictive_accuracy: 0.7136, prior_entropy: 0.8641, relative_absolute_error: 0.9769, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4432, root_relative_squared_error: 0.9802, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7195, kb_relative_information_score: 0.0167, mean_absolute_error: 0.3997, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7136, number_of_instances: 583, predictive_accuracy: 0.7136, prior_entropy: 0.8641, relative_absolute_error: 0.9769, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4432, root_relative_squared_error: 0.9802, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7195, kb_relative_information_score: 0.0167, mean_absolute_error: 0.3997, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7136, number_of_instances: 583, predictive_accuracy: 0.7136, prior_entropy: 0.8641, relative_absolute_error: 0.9769, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4432, root_relative_squared_error: 0.9802, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7195, kb_relative_information_score: 0.0167, mean_absolute_error: 0.3997, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7136, number_of_instances: 583, predictive_accuracy: 0.7136, prior_entropy: 0.8641, relative_absolute_error: 0.9769, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4432, root_relative_squared_error: 0.9802, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7195, kb_relative_information_score: 0.0167, mean_absolute_error: 0.3997, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7136, number_of_instances: 583, predictive_accuracy: 0.7136, prior_entropy: 0.8641, relative_absolute_error: 0.9769, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4432, root_relative_squared_error: 0.9802, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7195, kb_relative_information_score: 0.0167, mean_absolute_error: 0.3997, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7136, number_of_instances: 583, predictive_accuracy: 0.7136, prior_entropy: 0.8641, relative_absolute_error: 0.9769, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4432, root_relative_squared_error: 0.9802, unweighted_recall: 0.5,

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