OpenML
Supervised Classification on Bioresponse

Supervised Classification on Bioresponse

Task 9910 Supervised Classification Bioresponse 17585 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8364, f_measure: 0.769, kappa: 0.5341, kb_relative_information_score: 0.4244, mean_absolute_error: 0.2976, mean_prior_absolute_error: 0.4964, weighted_recall: 0.7694, number_of_instances: 3751, precision: 0.769, predictive_accuracy: 0.7694, prior_entropy: 0.9948, relative_absolute_error: 0.5994, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.405, root_relative_squared_error: 0.8128, unweighted_recall: 0.7662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7715, f_measure: 0.7358, kappa: 0.4673, kb_relative_information_score: 0.4336, mean_absolute_error: 0.2842, mean_prior_absolute_error: 0.4964, weighted_recall: 0.7361, number_of_instances: 3751, precision: 0.7357, predictive_accuracy: 0.7361, prior_entropy: 0.9948, relative_absolute_error: 0.5725, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4728, root_relative_squared_error: 0.9491, unweighted_recall: 0.7332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7635, f_measure: 0.7291, kappa: 0.454, kb_relative_information_score: 0.4388, mean_absolute_error: 0.2792, mean_prior_absolute_error: 0.4964, weighted_recall: 0.7294, number_of_instances: 3751, precision: 0.729, predictive_accuracy: 0.7294, prior_entropy: 0.9948, relative_absolute_error: 0.5624, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4941, root_relative_squared_error: 0.9917, unweighted_recall: 0.7266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7715, f_measure: 0.7358, kappa: 0.4673, kb_relative_information_score: 0.4336, mean_absolute_error: 0.2842, mean_prior_absolute_error: 0.4964, weighted_recall: 0.7361, number_of_instances: 3751, precision: 0.7357, predictive_accuracy: 0.7361, prior_entropy: 0.9948, relative_absolute_error: 0.5725, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4728, root_relative_squared_error: 0.9491, unweighted_recall: 0.7332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7247, f_measure: 0.6963, kappa: 0.3879, kb_relative_information_score: 0.383, mean_absolute_error: 0.3058, mean_prior_absolute_error: 0.4964, weighted_recall: 0.6966, number_of_instances: 3751, precision: 0.6962, predictive_accuracy: 0.6966, prior_entropy: 0.9948, relative_absolute_error: 0.6159, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5365, root_relative_squared_error: 1.0768, unweighted_recall: 0.6936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7715, f_measure: 0.7358, kappa: 0.4673, kb_relative_information_score: 0.4336, mean_absolute_error: 0.2842, mean_prior_absolute_error: 0.4964, weighted_recall: 0.7361, number_of_instances: 3751, precision: 0.7357, predictive_accuracy: 0.7361, prior_entropy: 0.9948, relative_absolute_error: 0.5725, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4728, root_relative_squared_error: 0.9491, unweighted_recall: 0.7332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7247, f_measure: 0.6963, kappa: 0.3879, kb_relative_information_score: 0.383, mean_absolute_error: 0.3058, mean_prior_absolute_error: 0.4964, weighted_recall: 0.6966, number_of_instances: 3751, precision: 0.6962, predictive_accuracy: 0.6966, prior_entropy: 0.9948, relative_absolute_error: 0.6159, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5365, root_relative_squared_error: 1.0768, unweighted_recall: 0.6936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7715, f_measure: 0.7358, kappa: 0.4673, kb_relative_information_score: 0.4336, mean_absolute_error: 0.2842, mean_prior_absolute_error: 0.4964, weighted_recall: 0.7361, number_of_instances: 3751, precision: 0.7357, predictive_accuracy: 0.7361, prior_entropy: 0.9948, relative_absolute_error: 0.5725, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4728, root_relative_squared_error: 0.9491, unweighted_recall: 0.7332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7715, f_measure: 0.7358, kappa: 0.4673, kb_relative_information_score: 0.4336, mean_absolute_error: 0.2842, mean_prior_absolute_error: 0.4964, weighted_recall: 0.7361, number_of_instances: 3751, precision: 0.7357, predictive_accuracy: 0.7361, prior_entropy: 0.9948, relative_absolute_error: 0.5725, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4728, root_relative_squared_error: 0.9491, unweighted_recall: 0.7332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7715, f_measure: 0.7358, kappa: 0.4673, kb_relative_information_score: 0.4336, mean_absolute_error: 0.2842, mean_prior_absolute_error: 0.4964, weighted_recall: 0.7361, number_of_instances: 3751, precision: 0.7357, predictive_accuracy: 0.7361, prior_entropy: 0.9948, relative_absolute_error: 0.5725, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4728, root_relative_squared_error: 0.9491, unweighted_recall: 0.7332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7715, f_measure: 0.7358, kappa: 0.4673, kb_relative_information_score: 0.4336, mean_absolute_error: 0.2842, mean_prior_absolute_error: 0.4964, weighted_recall: 0.7361, number_of_instances: 3751, precision: 0.7357, predictive_accuracy: 0.7361, prior_entropy: 0.9948, relative_absolute_error: 0.5725, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4728, root_relative_squared_error: 0.9491, unweighted_recall: 0.7332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7982, f_measure: 0.7465, kappa: 0.489, kb_relative_information_score: 0.4405, mean_absolute_error: 0.2831, mean_prior_absolute_error: 0.4964, weighted_recall: 0.7467, number_of_instances: 3751, precision: 0.7464, predictive_accuracy: 0.7467, prior_entropy: 0.9948, relative_absolute_error: 0.5704, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4431, root_relative_squared_error: 0.8894, unweighted_recall: 0.7441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7714, f_measure: 0.7365, kappa: 0.4688, kb_relative_information_score: 0.4343, mean_absolute_error: 0.2839, mean_prior_absolute_error: 0.4964, weighted_recall: 0.7369, number_of_instances: 3751, precision: 0.7365, predictive_accuracy: 0.7369, prior_entropy: 0.9948, relative_absolute_error: 0.5719, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4725, root_relative_squared_error: 0.9484, unweighted_recall: 0.7339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7101, f_measure: 0.6827, kappa: 0.3608, kb_relative_information_score: 0.359, mean_absolute_error: 0.3172, mean_prior_absolute_error: 0.4964, weighted_recall: 0.6828, number_of_instances: 3751, precision: 0.6827, predictive_accuracy: 0.6828, prior_entropy: 0.9948, relative_absolute_error: 0.6389, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5596, root_relative_squared_error: 1.1233, unweighted_recall: 0.6804,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7715, f_measure: 0.7358, kappa: 0.4673, kb_relative_information_score: 0.4336, mean_absolute_error: 0.2842, mean_prior_absolute_error: 0.4964, weighted_recall: 0.7361, number_of_instances: 3751, precision: 0.7357, predictive_accuracy: 0.7361, prior_entropy: 0.9948, relative_absolute_error: 0.5725, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4728, root_relative_squared_error: 0.9491, unweighted_recall: 0.7332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7715, f_measure: 0.7358, kappa: 0.4673, kb_relative_information_score: 0.4336, mean_absolute_error: 0.2842, mean_prior_absolute_error: 0.4964, weighted_recall: 0.7361, number_of_instances: 3751, precision: 0.7357, predictive_accuracy: 0.7361, prior_entropy: 0.9948, relative_absolute_error: 0.5725, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4728, root_relative_squared_error: 0.9491, unweighted_recall: 0.7332,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7101, f_measure: 0.6827, kappa: 0.3608, kb_relative_information_score: 0.359, mean_absolute_error: 0.3172, mean_prior_absolute_error: 0.4964, weighted_recall: 0.6828, number_of_instances: 3751, precision: 0.6827, predictive_accuracy: 0.6828, prior_entropy: 0.9948, relative_absolute_error: 0.6389, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5596, root_relative_squared_error: 1.1233, unweighted_recall: 0.6804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7715, f_measure: 0.7358, kappa: 0.4673, kb_relative_information_score: 0.4336, mean_absolute_error: 0.2842, mean_prior_absolute_error: 0.4964, weighted_recall: 0.7361, number_of_instances: 3751, precision: 0.7357, predictive_accuracy: 0.7361, prior_entropy: 0.9948, relative_absolute_error: 0.5725, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4728, root_relative_squared_error: 0.9491, unweighted_recall: 0.7332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7715, f_measure: 0.7358, kappa: 0.4673, kb_relative_information_score: 0.4336, mean_absolute_error: 0.2842, mean_prior_absolute_error: 0.4964, weighted_recall: 0.7361, number_of_instances: 3751, precision: 0.7357, predictive_accuracy: 0.7361, prior_entropy: 0.9948, relative_absolute_error: 0.5725, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4728, root_relative_squared_error: 0.9491, unweighted_recall: 0.7332,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7247, f_measure: 0.6963, kappa: 0.3879, kb_relative_information_score: 0.383, mean_absolute_error: 0.3058, mean_prior_absolute_error: 0.4964, weighted_recall: 0.6966, number_of_instances: 3751, precision: 0.6962, predictive_accuracy: 0.6966, prior_entropy: 0.9948, relative_absolute_error: 0.6159, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5365, root_relative_squared_error: 1.0768, unweighted_recall: 0.6936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7532, f_measure: 0.7162, kappa: 0.4276, kb_relative_information_score: 0.4239, mean_absolute_error: 0.2859, mean_prior_absolute_error: 0.4964, weighted_recall: 0.7166, number_of_instances: 3751, precision: 0.7161, predictive_accuracy: 0.7166, prior_entropy: 0.9948, relative_absolute_error: 0.5759, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5056, root_relative_squared_error: 1.0149, unweighted_recall: 0.7132,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8364, f_measure: 0.769, kappa: 0.5341, kb_relative_information_score: 0.4244, mean_absolute_error: 0.2976, mean_prior_absolute_error: 0.4964, weighted_recall: 0.7694, number_of_instances: 3751, precision: 0.769, predictive_accuracy: 0.7694, prior_entropy: 0.9948, relative_absolute_error: 0.5994, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.405, root_relative_squared_error: 0.8128, unweighted_recall: 0.7662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7211, f_measure: 0.6921, kappa: 0.3793, kb_relative_information_score: 0.3765, mean_absolute_error: 0.3089, mean_prior_absolute_error: 0.4964, weighted_recall: 0.6923, number_of_instances: 3751, precision: 0.6919, predictive_accuracy: 0.6923, prior_entropy: 0.9948, relative_absolute_error: 0.6222, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5407, root_relative_squared_error: 1.0853, unweighted_recall: 0.6893,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7714, f_measure: 0.7365, kappa: 0.4688, kb_relative_information_score: 0.4343, mean_absolute_error: 0.2839, mean_prior_absolute_error: 0.4964, weighted_recall: 0.7369, number_of_instances: 3751, precision: 0.7365, predictive_accuracy: 0.7369, prior_entropy: 0.9948, relative_absolute_error: 0.5719, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4725, root_relative_squared_error: 0.9484, unweighted_recall: 0.7339,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7715, f_measure: 0.7358, kappa: 0.4673, kb_relative_information_score: 0.4336, mean_absolute_error: 0.2842, mean_prior_absolute_error: 0.4964, weighted_recall: 0.7361, number_of_instances: 3751, precision: 0.7357, predictive_accuracy: 0.7361, prior_entropy: 0.9948, relative_absolute_error: 0.5725, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4728, root_relative_squared_error: 0.9491, unweighted_recall: 0.7332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7715, f_measure: 0.7358, kappa: 0.4673, kb_relative_information_score: 0.4336, mean_absolute_error: 0.2842, mean_prior_absolute_error: 0.4964, weighted_recall: 0.7361, number_of_instances: 3751, precision: 0.7357, predictive_accuracy: 0.7361, prior_entropy: 0.9948, relative_absolute_error: 0.5725, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4728, root_relative_squared_error: 0.9491, unweighted_recall: 0.7332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7247, f_measure: 0.6963, kappa: 0.3879, kb_relative_information_score: 0.383, mean_absolute_error: 0.3058, mean_prior_absolute_error: 0.4964, weighted_recall: 0.6966, number_of_instances: 3751, precision: 0.6962, predictive_accuracy: 0.6966, prior_entropy: 0.9948, relative_absolute_error: 0.6159, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5365, root_relative_squared_error: 1.0768, unweighted_recall: 0.6936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7715, f_measure: 0.7358, kappa: 0.4673, kb_relative_information_score: 0.4336, mean_absolute_error: 0.2842, mean_prior_absolute_error: 0.4964, weighted_recall: 0.7361, number_of_instances: 3751, precision: 0.7357, predictive_accuracy: 0.7361, prior_entropy: 0.9948, relative_absolute_error: 0.5725, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4728, root_relative_squared_error: 0.9491, unweighted_recall: 0.7332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7715, f_measure: 0.7358, kappa: 0.4673, kb_relative_information_score: 0.4336, mean_absolute_error: 0.2842, mean_prior_absolute_error: 0.4964, weighted_recall: 0.7361, number_of_instances: 3751, precision: 0.7357, predictive_accuracy: 0.7361, prior_entropy: 0.9948, relative_absolute_error: 0.5725, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4728, root_relative_squared_error: 0.9491, unweighted_recall: 0.7332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7715, f_measure: 0.7358, kappa: 0.4673, kb_relative_information_score: 0.4336, mean_absolute_error: 0.2842, mean_prior_absolute_error: 0.4964, weighted_recall: 0.7361, number_of_instances: 3751, precision: 0.7357, predictive_accuracy: 0.7361, prior_entropy: 0.9948, relative_absolute_error: 0.5725, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4728, root_relative_squared_error: 0.9491, unweighted_recall: 0.7332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7715, f_measure: 0.7358, kappa: 0.4673, kb_relative_information_score: 0.4336, mean_absolute_error: 0.2842, mean_prior_absolute_error: 0.4964, weighted_recall: 0.7361, number_of_instances: 3751, precision: 0.7357, predictive_accuracy: 0.7361, prior_entropy: 0.9948, relative_absolute_error: 0.5725, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4728, root_relative_squared_error: 0.9491, unweighted_recall: 0.7332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7715, f_measure: 0.7358, kappa: 0.4673, kb_relative_information_score: 0.4336, mean_absolute_error: 0.2842, mean_prior_absolute_error: 0.4964, weighted_recall: 0.7361, number_of_instances: 3751, precision: 0.7357, predictive_accuracy: 0.7361, prior_entropy: 0.9948, relative_absolute_error: 0.5725, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4728, root_relative_squared_error: 0.9491, unweighted_recall: 0.7332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7715, f_measure: 0.7358, kappa: 0.4673, kb_relative_information_score: 0.4336, mean_absolute_error: 0.2842, mean_prior_absolute_error: 0.4964, weighted_recall: 0.7361, number_of_instances: 3751, precision: 0.7357, predictive_accuracy: 0.7361, prior_entropy: 0.9948, relative_absolute_error: 0.5725, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4728, root_relative_squared_error: 0.9491, unweighted_recall: 0.7332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7532, f_measure: 0.7162, kappa: 0.4276, kb_relative_information_score: 0.4239, mean_absolute_error: 0.2859, mean_prior_absolute_error: 0.4964, weighted_recall: 0.7166, number_of_instances: 3751, precision: 0.7161, predictive_accuracy: 0.7166, prior_entropy: 0.9948, relative_absolute_error: 0.5759, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5056, root_relative_squared_error: 1.0149, unweighted_recall: 0.7132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7441, f_measure: 0.7176, kappa: 0.4306, kb_relative_information_score: 0.4121, mean_absolute_error: 0.2926, mean_prior_absolute_error: 0.4964, weighted_recall: 0.7179, number_of_instances: 3751, precision: 0.7175, predictive_accuracy: 0.7179, prior_entropy: 0.9948, relative_absolute_error: 0.5894, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.507, root_relative_squared_error: 1.0177, unweighted_recall: 0.7148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7714, f_measure: 0.7365, kappa: 0.4688, kb_relative_information_score: 0.4343, mean_absolute_error: 0.2839, mean_prior_absolute_error: 0.4964, weighted_recall: 0.7369, number_of_instances: 3751, precision: 0.7365, predictive_accuracy: 0.7369, prior_entropy: 0.9948, relative_absolute_error: 0.5719, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4725, root_relative_squared_error: 0.9484, unweighted_recall: 0.7339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8364, f_measure: 0.769, kappa: 0.5341, kb_relative_information_score: 0.4244, mean_absolute_error: 0.2976, mean_prior_absolute_error: 0.4964, weighted_recall: 0.7694, number_of_instances: 3751, precision: 0.769, predictive_accuracy: 0.7694, prior_entropy: 0.9948, relative_absolute_error: 0.5994, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.405, root_relative_squared_error: 0.8128, unweighted_recall: 0.7662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7335, f_measure: 0.7055, kappa: 0.4061, kb_relative_information_score: 0.399, mean_absolute_error: 0.2983, mean_prior_absolute_error: 0.4964, weighted_recall: 0.7059, number_of_instances: 3751, precision: 0.7054, predictive_accuracy: 0.7059, prior_entropy: 0.9948, relative_absolute_error: 0.6008, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5216, root_relative_squared_error: 1.0469, unweighted_recall: 0.7025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7715, f_measure: 0.7358, kappa: 0.4673, kb_relative_information_score: 0.4336, mean_absolute_error: 0.2842, mean_prior_absolute_error: 0.4964, weighted_recall: 0.7361, number_of_instances: 3751, precision: 0.7357, predictive_accuracy: 0.7361, prior_entropy: 0.9948, relative_absolute_error: 0.5725, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4728, root_relative_squared_error: 0.9491, unweighted_recall: 0.7332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8056, f_measure: 0.7509, kappa: 0.4977, kb_relative_information_score: 0.4412, mean_absolute_error: 0.2838, mean_prior_absolute_error: 0.4964, weighted_recall: 0.7513, number_of_instances: 3751, precision: 0.7509, predictive_accuracy: 0.7513, prior_entropy: 0.9948, relative_absolute_error: 0.5717, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.435, root_relative_squared_error: 0.8731, unweighted_recall: 0.7482,

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