Task
Supervised Classification on pc4

Supervised Classification on pc4

Task 3902 Supervised Classification pc4 107669 runs submitted
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  • mythbusting_1 OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_41 study_7 study_98 study_99 under100k under1m
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107669 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6997, f_measure: 0.9026, kappa: 0.4996, kb_relative_information_score: 0.4848, mean_absolute_error: 0.0857, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.906, predictive_accuracy: 0.9143, prior_entropy: 0.5353, recall: 0.9143, relative_absolute_error: 0.3992, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2928, root_relative_squared_error: 0.8944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6997, f_measure: 0.9026, kappa: 0.4996, kb_relative_information_score: 0.4848, mean_absolute_error: 0.0857, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.906, predictive_accuracy: 0.9143, prior_entropy: 0.5353, recall: 0.9143, relative_absolute_error: 0.3992, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2928, root_relative_squared_error: 0.8944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7213, f_measure: 0.8472, kappa: 0.3627, kb_relative_information_score: -0.0015, mean_absolute_error: 0.1667, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8681, predictive_accuracy: 0.8333, prior_entropy: 0.5353, recall: 0.8333, relative_absolute_error: 0.7761, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.4082, root_relative_squared_error: 1.247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6965, f_measure: 0.901, kappa: 0.4916, kb_relative_information_score: 0.4766, mean_absolute_error: 0.0871, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9041, predictive_accuracy: 0.9129, prior_entropy: 0.5353, recall: 0.9129, relative_absolute_error: 0.4056, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2951, root_relative_squared_error: 0.9015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6997, f_measure: 0.9026, kappa: 0.4996, kb_relative_information_score: 0.4848, mean_absolute_error: 0.0857, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.906, predictive_accuracy: 0.9143, prior_entropy: 0.5353, recall: 0.9143, relative_absolute_error: 0.3992, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2928, root_relative_squared_error: 0.8944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6904, f_measure: 0.8829, kappa: 0.4251, kb_relative_information_score: 0.3365, mean_absolute_error: 0.1104, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.879, predictive_accuracy: 0.8896, prior_entropy: 0.5353, recall: 0.8896, relative_absolute_error: 0.5142, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3323, root_relative_squared_error: 1.015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6914, f_measure: 0.8782, kappa: 0.4116, kb_relative_information_score: 0.2953, mean_absolute_error: 0.1173, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8748, predictive_accuracy: 0.8827, prior_entropy: 0.5353, recall: 0.8827, relative_absolute_error: 0.5461, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3425, root_relative_squared_error: 1.0461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6997, f_measure: 0.9026, kappa: 0.4996, kb_relative_information_score: 0.4848, mean_absolute_error: 0.0857, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.906, predictive_accuracy: 0.9143, prior_entropy: 0.5353, recall: 0.9143, relative_absolute_error: 0.3992, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2928, root_relative_squared_error: 0.8944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6997, f_measure: 0.9026, kappa: 0.4996, kb_relative_information_score: 0.4848, mean_absolute_error: 0.0857, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.906, predictive_accuracy: 0.9143, prior_entropy: 0.5353, recall: 0.9143, relative_absolute_error: 0.3992, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2928, root_relative_squared_error: 0.8944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6997, f_measure: 0.9026, kappa: 0.4996, kb_relative_information_score: 0.4848, mean_absolute_error: 0.0857, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.906, predictive_accuracy: 0.9143, prior_entropy: 0.5353, recall: 0.9143, relative_absolute_error: 0.3992, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2928, root_relative_squared_error: 0.8944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6763, f_measure: 0.8521, kappa: 0.3317, kb_relative_information_score: 0.0851, mean_absolute_error: 0.1523, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8572, predictive_accuracy: 0.8477, prior_entropy: 0.5353, recall: 0.8477, relative_absolute_error: 0.709, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3902, root_relative_squared_error: 1.1919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6825, f_measure: 0.875, kappa: 0.3947, kb_relative_information_score: 0.2788, mean_absolute_error: 0.12, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8712, predictive_accuracy: 0.88, prior_entropy: 0.5353, recall: 0.88, relative_absolute_error: 0.5589, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3464, root_relative_squared_error: 1.0582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6997, f_measure: 0.9026, kappa: 0.4996, kb_relative_information_score: 0.4848, mean_absolute_error: 0.0857, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.906, predictive_accuracy: 0.9143, prior_entropy: 0.5353, recall: 0.9143, relative_absolute_error: 0.3992, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2928, root_relative_squared_error: 0.8944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6997, f_measure: 0.9026, kappa: 0.4996, kb_relative_information_score: 0.4848, mean_absolute_error: 0.0857, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.906, predictive_accuracy: 0.9143, prior_entropy: 0.5353, recall: 0.9143, relative_absolute_error: 0.3992, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2928, root_relative_squared_error: 0.8944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6997, f_measure: 0.9026, kappa: 0.4996, kb_relative_information_score: 0.4848, mean_absolute_error: 0.0857, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.906, predictive_accuracy: 0.9143, prior_entropy: 0.5353, recall: 0.9143, relative_absolute_error: 0.3992, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2928, root_relative_squared_error: 0.8944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6997, f_measure: 0.9026, kappa: 0.4996, kb_relative_information_score: 0.4848, mean_absolute_error: 0.0857, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.906, predictive_accuracy: 0.9143, prior_entropy: 0.5353, recall: 0.9143, relative_absolute_error: 0.3992, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2928, root_relative_squared_error: 0.8944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6997, f_measure: 0.9026, kappa: 0.4996, kb_relative_information_score: 0.4848, mean_absolute_error: 0.0857, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.906, predictive_accuracy: 0.9143, prior_entropy: 0.5353, recall: 0.9143, relative_absolute_error: 0.3992, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2928, root_relative_squared_error: 0.8944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6997, f_measure: 0.9026, kappa: 0.4996, kb_relative_information_score: 0.4848, mean_absolute_error: 0.0857, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.906, predictive_accuracy: 0.9143, prior_entropy: 0.5353, recall: 0.9143, relative_absolute_error: 0.3992, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2928, root_relative_squared_error: 0.8944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9398, f_measure: 0.9027, kappa: 0.531, kb_relative_information_score: 0.4109, mean_absolute_error: 0.1022, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9005, predictive_accuracy: 0.906, prior_entropy: 0.5353, recall: 0.906, relative_absolute_error: 0.4757, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2609, root_relative_squared_error: 0.797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9373, f_measure: 0.8828, kappa: 0.3844, kb_relative_information_score: 0.2185, mean_absolute_error: 0.1346, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8883, predictive_accuracy: 0.9012, prior_entropy: 0.5353, recall: 0.9012, relative_absolute_error: 0.6265, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.25, root_relative_squared_error: 0.7635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9437, f_measure: 0.9024, kappa: 0.5172, kb_relative_information_score: 0.4069, mean_absolute_error: 0.1033, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9001, predictive_accuracy: 0.9088, prior_entropy: 0.5353, recall: 0.9088, relative_absolute_error: 0.4808, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.254, root_relative_squared_error: 0.7758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9381, f_measure: 0.8844, kappa: 0.3946, kb_relative_information_score: 0.2325, mean_absolute_error: 0.1324, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8891, predictive_accuracy: 0.9019, prior_entropy: 0.5353, recall: 0.9019, relative_absolute_error: 0.6166, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2486, root_relative_squared_error: 0.7594,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9355, f_measure: 0.8952, kappa: 0.491, kb_relative_information_score: 0.3726, mean_absolute_error: 0.104, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8924, predictive_accuracy: 0.8999, prior_entropy: 0.5353, recall: 0.8999, relative_absolute_error: 0.4843, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2787, root_relative_squared_error: 0.8512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.941, f_measure: 0.9182, kappa: 0.6026, kb_relative_information_score: 0.4295, mean_absolute_error: 0.0989, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9166, predictive_accuracy: 0.9218, prior_entropy: 0.5353, recall: 0.9218, relative_absolute_error: 0.4606, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2478, root_relative_squared_error: 0.7568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6997, f_measure: 0.9026, kappa: 0.4996, kb_relative_information_score: 0.4848, mean_absolute_error: 0.0857, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.906, predictive_accuracy: 0.9143, prior_entropy: 0.5353, recall: 0.9143, relative_absolute_error: 0.3992, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2928, root_relative_squared_error: 0.8944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6924, f_measure: 0.9014, kappa: 0.4904, kb_relative_information_score: 0.4848, mean_absolute_error: 0.0857, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9067, predictive_accuracy: 0.9143, prior_entropy: 0.5353, recall: 0.9143, relative_absolute_error: 0.3992, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2928, root_relative_squared_error: 0.8944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6924, f_measure: 0.9014, kappa: 0.4904, kb_relative_information_score: 0.4848, mean_absolute_error: 0.0857, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9067, predictive_accuracy: 0.9143, prior_entropy: 0.5353, recall: 0.9143, relative_absolute_error: 0.3992, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2928, root_relative_squared_error: 0.8944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7155, f_measure: 0.9002, kappa: 0.5013, kb_relative_information_score: 0.4478, mean_absolute_error: 0.0919, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8984, predictive_accuracy: 0.9081, prior_entropy: 0.5353, recall: 0.9081, relative_absolute_error: 0.428, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3032, root_relative_squared_error: 0.926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6997, f_measure: 0.9026, kappa: 0.4996, kb_relative_information_score: 0.4848, mean_absolute_error: 0.0857, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.906, predictive_accuracy: 0.9143, prior_entropy: 0.5353, recall: 0.9143, relative_absolute_error: 0.3992, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2928, root_relative_squared_error: 0.8944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6952, f_measure: 0.9024, kappa: 0.496, kb_relative_information_score: 0.489, mean_absolute_error: 0.085, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9076, predictive_accuracy: 0.915, prior_entropy: 0.5353, recall: 0.915, relative_absolute_error: 0.396, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2916, root_relative_squared_error: 0.8908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6924, f_measure: 0.9014, kappa: 0.4904, kb_relative_information_score: 0.4848, mean_absolute_error: 0.0857, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9067, predictive_accuracy: 0.9143, prior_entropy: 0.5353, recall: 0.9143, relative_absolute_error: 0.3992, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2928, root_relative_squared_error: 0.8944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6997, f_measure: 0.9026, kappa: 0.4996, kb_relative_information_score: 0.4848, mean_absolute_error: 0.0857, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.906, predictive_accuracy: 0.9143, prior_entropy: 0.5353, recall: 0.9143, relative_absolute_error: 0.3992, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2928, root_relative_squared_error: 0.8944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6997, f_measure: 0.9026, kappa: 0.4996, kb_relative_information_score: 0.4848, mean_absolute_error: 0.0857, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.906, predictive_accuracy: 0.9143, prior_entropy: 0.5353, recall: 0.9143, relative_absolute_error: 0.3992, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2928, root_relative_squared_error: 0.8944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6997, f_measure: 0.9026, kappa: 0.4996, kb_relative_information_score: 0.4848, mean_absolute_error: 0.0857, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.906, predictive_accuracy: 0.9143, prior_entropy: 0.5353, recall: 0.9143, relative_absolute_error: 0.3992, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2928, root_relative_squared_error: 0.8944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6997, f_measure: 0.9026, kappa: 0.4996, kb_relative_information_score: 0.4848, mean_absolute_error: 0.0857, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.906, predictive_accuracy: 0.9143, prior_entropy: 0.5353, recall: 0.9143, relative_absolute_error: 0.3992, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2928, root_relative_squared_error: 0.8944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6997, f_measure: 0.9026, kappa: 0.4996, kb_relative_information_score: 0.4848, mean_absolute_error: 0.0857, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.906, predictive_accuracy: 0.9143, prior_entropy: 0.5353, recall: 0.9143, relative_absolute_error: 0.3992, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2928, root_relative_squared_error: 0.8944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6997, f_measure: 0.9026, kappa: 0.4996, kb_relative_information_score: 0.4848, mean_absolute_error: 0.0857, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.906, predictive_accuracy: 0.9143, prior_entropy: 0.5353, recall: 0.9143, relative_absolute_error: 0.3992, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2928, root_relative_squared_error: 0.8944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6924, f_measure: 0.9014, kappa: 0.4904, kb_relative_information_score: 0.4848, mean_absolute_error: 0.0857, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9067, predictive_accuracy: 0.9143, prior_entropy: 0.5353, recall: 0.9143, relative_absolute_error: 0.3992, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2928, root_relative_squared_error: 0.8944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6997, f_measure: 0.9026, kappa: 0.4996, kb_relative_information_score: 0.4848, mean_absolute_error: 0.0857, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.906, predictive_accuracy: 0.9143, prior_entropy: 0.5353, recall: 0.9143, relative_absolute_error: 0.3992, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2928, root_relative_squared_error: 0.8944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6924, f_measure: 0.9014, kappa: 0.4904, kb_relative_information_score: 0.4848, mean_absolute_error: 0.0857, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9067, predictive_accuracy: 0.9143, prior_entropy: 0.5353, recall: 0.9143, relative_absolute_error: 0.3992, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2928, root_relative_squared_error: 0.8944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7266, f_measure: 0.8908, kappa: 0.4775, kb_relative_information_score: 0.3612, mean_absolute_error: 0.1063, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8885, predictive_accuracy: 0.8937, prior_entropy: 0.5353, recall: 0.8937, relative_absolute_error: 0.495, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3261, root_relative_squared_error: 0.9959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6997, f_measure: 0.9026, kappa: 0.4996, kb_relative_information_score: 0.4848, mean_absolute_error: 0.0857, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.906, predictive_accuracy: 0.9143, prior_entropy: 0.5353, recall: 0.9143, relative_absolute_error: 0.3992, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2928, root_relative_squared_error: 0.8944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6965, f_measure: 0.901, kappa: 0.4916, kb_relative_information_score: 0.4766, mean_absolute_error: 0.0871, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9041, predictive_accuracy: 0.9129, prior_entropy: 0.5353, recall: 0.9129, relative_absolute_error: 0.4056, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2951, root_relative_squared_error: 0.9015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6924, f_measure: 0.9014, kappa: 0.4904, kb_relative_information_score: 0.4848, mean_absolute_error: 0.0857, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9067, predictive_accuracy: 0.9143, prior_entropy: 0.5353, recall: 0.9143, relative_absolute_error: 0.3992, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2928, root_relative_squared_error: 0.8944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6924, f_measure: 0.9014, kappa: 0.4904, kb_relative_information_score: 0.4848, mean_absolute_error: 0.0857, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9067, predictive_accuracy: 0.9143, prior_entropy: 0.5353, recall: 0.9143, relative_absolute_error: 0.3992, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2928, root_relative_squared_error: 0.8944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6997, f_measure: 0.9026, kappa: 0.4996, kb_relative_information_score: 0.4848, mean_absolute_error: 0.0857, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.906, predictive_accuracy: 0.9143, prior_entropy: 0.5353, recall: 0.9143, relative_absolute_error: 0.3992, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2928, root_relative_squared_error: 0.8944,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7029, f_measure: 0.901, kappa: 0.4958, kb_relative_information_score: 0.4684, mean_absolute_error: 0.0885, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9019, predictive_accuracy: 0.9115, prior_entropy: 0.5353, recall: 0.9115, relative_absolute_error: 0.412, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2975, root_relative_squared_error: 0.9086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6924, f_measure: 0.9014, kappa: 0.4904, kb_relative_information_score: 0.4848, mean_absolute_error: 0.0857, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9067, predictive_accuracy: 0.9143, prior_entropy: 0.5353, recall: 0.9143, relative_absolute_error: 0.3992, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2928, root_relative_squared_error: 0.8944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6924, f_measure: 0.9014, kappa: 0.4904, kb_relative_information_score: 0.4848, mean_absolute_error: 0.0857, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9067, predictive_accuracy: 0.9143, prior_entropy: 0.5353, recall: 0.9143, relative_absolute_error: 0.3992, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2928, root_relative_squared_error: 0.8944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6933, f_measure: 0.8514, kappa: 0.3464, kb_relative_information_score: 0.0604, mean_absolute_error: 0.1564, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8613, predictive_accuracy: 0.8436, prior_entropy: 0.5353, recall: 0.8436, relative_absolute_error: 0.7282, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3954, root_relative_squared_error: 1.2079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6924, f_measure: 0.9014, kappa: 0.4904, kb_relative_information_score: 0.4848, mean_absolute_error: 0.0857, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9067, predictive_accuracy: 0.9143, prior_entropy: 0.5353, recall: 0.9143, relative_absolute_error: 0.3992, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2928, root_relative_squared_error: 0.8944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6972, f_measure: 0.9022, kappa: 0.4966, kb_relative_information_score: 0.4848, mean_absolute_error: 0.0857, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9062, predictive_accuracy: 0.9143, prior_entropy: 0.5353, recall: 0.9143, relative_absolute_error: 0.3992, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2928, root_relative_squared_error: 0.8944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6924, f_measure: 0.9014, kappa: 0.4904, kb_relative_information_score: 0.4848, mean_absolute_error: 0.0857, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9067, predictive_accuracy: 0.9143, prior_entropy: 0.5353, recall: 0.9143, relative_absolute_error: 0.3992, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2928, root_relative_squared_error: 0.8944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.694, f_measure: 0.9006, kappa: 0.4885, kb_relative_information_score: 0.4766, mean_absolute_error: 0.0871, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9043, predictive_accuracy: 0.9129, prior_entropy: 0.5353, recall: 0.9129, relative_absolute_error: 0.4056, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2951, root_relative_squared_error: 0.9015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6924, f_measure: 0.9014, kappa: 0.4904, kb_relative_information_score: 0.4848, mean_absolute_error: 0.0857, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9067, predictive_accuracy: 0.9143, prior_entropy: 0.5353, recall: 0.9143, relative_absolute_error: 0.3992, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2928, root_relative_squared_error: 0.8944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6952, f_measure: 0.9024, kappa: 0.496, kb_relative_information_score: 0.489, mean_absolute_error: 0.085, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9076, predictive_accuracy: 0.915, prior_entropy: 0.5353, recall: 0.915, relative_absolute_error: 0.396, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2916, root_relative_squared_error: 0.8908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6924, f_measure: 0.9014, kappa: 0.4904, kb_relative_information_score: 0.4848, mean_absolute_error: 0.0857, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9067, predictive_accuracy: 0.9143, prior_entropy: 0.5353, recall: 0.9143, relative_absolute_error: 0.3992, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2928, root_relative_squared_error: 0.8944,

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