Task
Supervised Classification on kc2

Supervised Classification on kc2

Task 3913 Supervised Classification kc2 174023 runs submitted
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  • OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_41 study_7 study_98 study_99 under100k under1m
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174023 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8222, f_measure: 0.8338, kappa: 0.4806, kb_relative_information_score: 0.2548, mean_absolute_error: 0.2402, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8314, predictive_accuracy: 0.8372, prior_entropy: 0.7318, recall: 0.8372, relative_absolute_error: 0.7353, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3446, root_relative_squared_error: 0.8537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6247, f_measure: 0.8001, kappa: 0.3278, kb_relative_information_score: 0.4052, mean_absolute_error: 0.1667, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8233, predictive_accuracy: 0.8333, prior_entropy: 0.7318, recall: 0.8333, relative_absolute_error: 0.5103, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4082, root_relative_squared_error: 1.0113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5047, f_measure: 0.7088, kappa: 0.0148, kb_relative_information_score: 0.2753, mean_absolute_error: 0.2031, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8382, predictive_accuracy: 0.7969, prior_entropy: 0.7318, recall: 0.7969, relative_absolute_error: 0.6218, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4506, root_relative_squared_error: 1.1163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2685, mean_absolute_error: 0.205, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.7318, recall: 0.795, relative_absolute_error: 0.6276, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4527, root_relative_squared_error: 1.1215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.503, f_measure: 0.708, kappa: 0.0088, kb_relative_information_score: 0.207, mean_absolute_error: 0.2222, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.6811, predictive_accuracy: 0.7778, prior_entropy: 0.7318, recall: 0.7778, relative_absolute_error: 0.6804, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4714, root_relative_squared_error: 1.1677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.503, f_measure: 0.708, kappa: 0.0088, kb_relative_information_score: 0.207, mean_absolute_error: 0.2222, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.6811, predictive_accuracy: 0.7778, prior_entropy: 0.7318, recall: 0.7778, relative_absolute_error: 0.6804, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4714, root_relative_squared_error: 1.1677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.503, f_measure: 0.708, kappa: 0.0088, kb_relative_information_score: 0.207, mean_absolute_error: 0.2222, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.6811, predictive_accuracy: 0.7778, prior_entropy: 0.7318, recall: 0.7778, relative_absolute_error: 0.6804, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4714, root_relative_squared_error: 1.1677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2685, mean_absolute_error: 0.205, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.7318, recall: 0.795, relative_absolute_error: 0.6276, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4527, root_relative_squared_error: 1.1215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2685, mean_absolute_error: 0.205, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.7318, recall: 0.795, relative_absolute_error: 0.6276, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4527, root_relative_squared_error: 1.1215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.397, f_measure: 0.6078, kappa: -0.2074, kb_relative_information_score: -0.3947, mean_absolute_error: 0.3908, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.6065, predictive_accuracy: 0.6092, prior_entropy: 0.7318, recall: 0.6092, relative_absolute_error: 1.1966, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.6251, root_relative_squared_error: 1.5486,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2685, mean_absolute_error: 0.205, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.7318, recall: 0.795, relative_absolute_error: 0.6276, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4527, root_relative_squared_error: 1.1215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.397, f_measure: 0.6078, kappa: -0.2074, kb_relative_information_score: -0.3947, mean_absolute_error: 0.3908, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.6065, predictive_accuracy: 0.6092, prior_entropy: 0.7318, recall: 0.6092, relative_absolute_error: 1.1966, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.6251, root_relative_squared_error: 1.5486,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2685, mean_absolute_error: 0.205, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.7318, recall: 0.795, relative_absolute_error: 0.6276, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4527, root_relative_squared_error: 1.1215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5288, f_measure: 0.7296, kappa: 0.0825, kb_relative_information_score: 0.2548, mean_absolute_error: 0.2088, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.7321, predictive_accuracy: 0.7912, prior_entropy: 0.7318, recall: 0.7912, relative_absolute_error: 0.6394, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.457, root_relative_squared_error: 1.132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4901, f_measure: 0.6969, kappa: -0.0287, kb_relative_information_score: 0.1728, mean_absolute_error: 0.2318, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.6522, predictive_accuracy: 0.7682, prior_entropy: 0.7318, recall: 0.7682, relative_absolute_error: 0.7098, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4815, root_relative_squared_error: 1.1926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2685, mean_absolute_error: 0.205, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.7318, recall: 0.795, relative_absolute_error: 0.6276, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4527, root_relative_squared_error: 1.1215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4866, f_measure: 0.6939, kappa: -0.0392, kb_relative_information_score: 0.1728, mean_absolute_error: 0.2318, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.6413, predictive_accuracy: 0.7682, prior_entropy: 0.7318, recall: 0.7682, relative_absolute_error: 0.7098, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4815, root_relative_squared_error: 1.1926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2685, mean_absolute_error: 0.205, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.7318, recall: 0.795, relative_absolute_error: 0.6276, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4527, root_relative_squared_error: 1.1215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2685, mean_absolute_error: 0.205, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.7318, recall: 0.795, relative_absolute_error: 0.6276, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4527, root_relative_squared_error: 1.1215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4091, f_measure: 0.62, kappa: -0.1898, kb_relative_information_score: -0.3263, mean_absolute_error: 0.3716, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.6119, predictive_accuracy: 0.6284, prior_entropy: 0.7318, recall: 0.6284, relative_absolute_error: 1.138, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.6096, root_relative_squared_error: 1.5101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.478, f_measure: 0.6865, kappa: -0.0605, kb_relative_information_score: 0.1044, mean_absolute_error: 0.251, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.6407, predictive_accuracy: 0.749, prior_entropy: 0.7318, recall: 0.749, relative_absolute_error: 0.7684, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.501, root_relative_squared_error: 1.2409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2685, mean_absolute_error: 0.205, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.7318, recall: 0.795, relative_absolute_error: 0.6276, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4527, root_relative_squared_error: 1.1215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2685, mean_absolute_error: 0.205, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.7318, recall: 0.795, relative_absolute_error: 0.6276, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4527, root_relative_squared_error: 1.1215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2685, mean_absolute_error: 0.205, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.7318, recall: 0.795, relative_absolute_error: 0.6276, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4527, root_relative_squared_error: 1.1215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.7033, kappa: -0.0038, kb_relative_information_score: 0.2616, mean_absolute_error: 0.2069, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.6317, predictive_accuracy: 0.7931, prior_entropy: 0.7318, recall: 0.7931, relative_absolute_error: 0.6335, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4549, root_relative_squared_error: 1.1268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.478, f_measure: 0.6865, kappa: -0.0605, kb_relative_information_score: 0.1044, mean_absolute_error: 0.251, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.6407, predictive_accuracy: 0.749, prior_entropy: 0.7318, recall: 0.749, relative_absolute_error: 0.7684, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.501, root_relative_squared_error: 1.2409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3994, f_measure: 0.6103, kappa: -0.204, kb_relative_information_score: -0.381, mean_absolute_error: 0.387, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.6075, predictive_accuracy: 0.613, prior_entropy: 0.7318, recall: 0.613, relative_absolute_error: 1.1849, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.6221, root_relative_squared_error: 1.541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2685, mean_absolute_error: 0.205, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.7318, recall: 0.795, relative_absolute_error: 0.6276, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4527, root_relative_squared_error: 1.1215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2685, mean_absolute_error: 0.205, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.7318, recall: 0.795, relative_absolute_error: 0.6276, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4527, root_relative_squared_error: 1.1215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4042, f_measure: 0.6151, kappa: -0.197, kb_relative_information_score: -0.3536, mean_absolute_error: 0.3793, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.6097, predictive_accuracy: 0.6207, prior_entropy: 0.7318, recall: 0.6207, relative_absolute_error: 1.1614, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.6159, root_relative_squared_error: 1.5256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2685, mean_absolute_error: 0.205, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.7318, recall: 0.795, relative_absolute_error: 0.6276, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4527, root_relative_squared_error: 1.1215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6924, f_measure: 0.8096, kappa: 0.4029, kb_relative_information_score: 0.3369, mean_absolute_error: 0.1858, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8062, predictive_accuracy: 0.8142, prior_entropy: 0.7318, recall: 0.8142, relative_absolute_error: 0.569, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4311, root_relative_squared_error: 1.0678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2685, mean_absolute_error: 0.205, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.7318, recall: 0.795, relative_absolute_error: 0.6276, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4527, root_relative_squared_error: 1.1215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3994, f_measure: 0.6103, kappa: -0.204, kb_relative_information_score: -0.381, mean_absolute_error: 0.387, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.6075, predictive_accuracy: 0.613, prior_entropy: 0.7318, recall: 0.613, relative_absolute_error: 1.1849, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.6221, root_relative_squared_error: 1.541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4904, f_measure: 0.6966, kappa: -0.0294, kb_relative_information_score: 0.2138, mean_absolute_error: 0.2203, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.6295, predictive_accuracy: 0.7797, prior_entropy: 0.7318, recall: 0.7797, relative_absolute_error: 0.6746, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4694, root_relative_squared_error: 1.1627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4901, f_measure: 0.6969, kappa: -0.0287, kb_relative_information_score: 0.1728, mean_absolute_error: 0.2318, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.6522, predictive_accuracy: 0.7682, prior_entropy: 0.7318, recall: 0.7682, relative_absolute_error: 0.7098, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4815, root_relative_squared_error: 1.1926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4042, f_measure: 0.6151, kappa: -0.197, kb_relative_information_score: -0.3536, mean_absolute_error: 0.3793, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.6097, predictive_accuracy: 0.6207, prior_entropy: 0.7318, recall: 0.6207, relative_absolute_error: 1.1614, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.6159, root_relative_squared_error: 1.5256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4092, f_measure: 0.622, kappa: -0.193, kb_relative_information_score: -0.3058, mean_absolute_error: 0.3659, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.6105, predictive_accuracy: 0.6341, prior_entropy: 0.7318, recall: 0.6341, relative_absolute_error: 1.1204, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.6049, root_relative_squared_error: 1.4984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2685, mean_absolute_error: 0.205, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.7318, recall: 0.795, relative_absolute_error: 0.6276, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4527, root_relative_squared_error: 1.1215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3994, f_measure: 0.6103, kappa: -0.204, kb_relative_information_score: -0.381, mean_absolute_error: 0.387, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.6075, predictive_accuracy: 0.613, prior_entropy: 0.7318, recall: 0.613, relative_absolute_error: 1.1849, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.6221, root_relative_squared_error: 1.541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2685, mean_absolute_error: 0.205, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.7318, recall: 0.795, relative_absolute_error: 0.6276, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4527, root_relative_squared_error: 1.1215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2685, mean_absolute_error: 0.205, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.7318, recall: 0.795, relative_absolute_error: 0.6276, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4527, root_relative_squared_error: 1.1215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3994, f_measure: 0.6103, kappa: -0.204, kb_relative_information_score: -0.381, mean_absolute_error: 0.387, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.6075, predictive_accuracy: 0.613, prior_entropy: 0.7318, recall: 0.613, relative_absolute_error: 1.1849, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.6221, root_relative_squared_error: 1.541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2685, mean_absolute_error: 0.205, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.7318, recall: 0.795, relative_absolute_error: 0.6276, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4527, root_relative_squared_error: 1.1215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4866, f_measure: 0.6939, kappa: -0.0392, kb_relative_information_score: 0.1728, mean_absolute_error: 0.2318, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.6413, predictive_accuracy: 0.7682, prior_entropy: 0.7318, recall: 0.7682, relative_absolute_error: 0.7098, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4815, root_relative_squared_error: 1.1926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4904, f_measure: 0.6966, kappa: -0.0294, kb_relative_information_score: 0.2138, mean_absolute_error: 0.2203, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.6295, predictive_accuracy: 0.7797, prior_entropy: 0.7318, recall: 0.7797, relative_absolute_error: 0.6746, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4694, root_relative_squared_error: 1.1627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2685, mean_absolute_error: 0.205, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.7318, recall: 0.795, relative_absolute_error: 0.6276, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4527, root_relative_squared_error: 1.1215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4091, f_measure: 0.62, kappa: -0.1898, kb_relative_information_score: -0.3263, mean_absolute_error: 0.3716, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.6119, predictive_accuracy: 0.6284, prior_entropy: 0.7318, recall: 0.6284, relative_absolute_error: 1.138, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.6096, root_relative_squared_error: 1.5101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2685, mean_absolute_error: 0.205, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.7318, recall: 0.795, relative_absolute_error: 0.6276, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4527, root_relative_squared_error: 1.1215,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4091, f_measure: 0.62, kappa: -0.1898, kb_relative_information_score: -0.3263, mean_absolute_error: 0.3716, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.6119, predictive_accuracy: 0.6284, prior_entropy: 0.7318, recall: 0.6284, relative_absolute_error: 1.138, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.6096, root_relative_squared_error: 1.5101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4249, f_measure: 0.6372, kappa: -0.1677, kb_relative_information_score: -0.2169, mean_absolute_error: 0.341, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.6172, predictive_accuracy: 0.659, prior_entropy: 0.7318, recall: 0.659, relative_absolute_error: 1.0441, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.5839, root_relative_squared_error: 1.4465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.7033, kappa: -0.0038, kb_relative_information_score: 0.2616, mean_absolute_error: 0.2069, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.6317, predictive_accuracy: 0.7931, prior_entropy: 0.7318, recall: 0.7931, relative_absolute_error: 0.6335, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4549, root_relative_squared_error: 1.1268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5516, f_measure: 0.7402, kappa: 0.1314, kb_relative_information_score: 0.207, mean_absolute_error: 0.2222, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.7287, predictive_accuracy: 0.7778, prior_entropy: 0.7318, recall: 0.7778, relative_absolute_error: 0.6804, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4714, root_relative_squared_error: 1.1677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4006, f_measure: 0.6115, kappa: -0.2023, kb_relative_information_score: -0.3742, mean_absolute_error: 0.3851, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.6081, predictive_accuracy: 0.6149, prior_entropy: 0.7318, recall: 0.6149, relative_absolute_error: 1.179, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.6205, root_relative_squared_error: 1.5371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4066, f_measure: 0.6176, kappa: -0.1934, kb_relative_information_score: -0.34, mean_absolute_error: 0.3755, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.6108, predictive_accuracy: 0.6245, prior_entropy: 0.7318, recall: 0.6245, relative_absolute_error: 1.1497, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.6128, root_relative_squared_error: 1.5179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5078, f_measure: 0.7123, kappa: 0.0233, kb_relative_information_score: 0.2343, mean_absolute_error: 0.2146, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.6972, predictive_accuracy: 0.7854, prior_entropy: 0.7318, recall: 0.7854, relative_absolute_error: 0.657, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4632, root_relative_squared_error: 1.1474,

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

OpenML bootcamp

From your own software

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

OpenML APIs