OpenML
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: 0.4091, 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,
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: 0.5199, f_measure: 0.717, kappa: 0.0515, kb_relative_information_score: 0.1454, mean_absolute_error: 0.2395, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.6962, predictive_accuracy: 0.7605, prior_entropy: 0.7318, recall: 0.7605, relative_absolute_error: 0.7332, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4894, root_relative_squared_error: 1.2122,
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: 0.4054, f_measure: 0.6163, kappa: -0.1952, kb_relative_information_score: -0.3468, mean_absolute_error: 0.3774, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.6103, predictive_accuracy: 0.6226, prior_entropy: 0.7318, recall: 0.6226, relative_absolute_error: 1.1556, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.6143, root_relative_squared_error: 1.5218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4961, f_measure: 0.702, kappa: -0.0116, kb_relative_information_score: 0.207, mean_absolute_error: 0.2222, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.6626, 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: 0.5, 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: 0.414, f_measure: 0.6267, kappa: -0.1855, kb_relative_information_score: -0.2784, mean_absolute_error: 0.3582, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.6125, predictive_accuracy: 0.6418, prior_entropy: 0.7318, recall: 0.6418, relative_absolute_error: 1.0969, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.5985, root_relative_squared_error: 1.4826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4916, f_measure: 0.6976, kappa: -0.0258, kb_relative_information_score: 0.2206, mean_absolute_error: 0.2184, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.6298, predictive_accuracy: 0.7816, prior_entropy: 0.7318, recall: 0.7816, relative_absolute_error: 0.6687, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4673, root_relative_squared_error: 1.1576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.414, f_measure: 0.6267, kappa: -0.1855, kb_relative_information_score: -0.2784, mean_absolute_error: 0.3582, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.6125, predictive_accuracy: 0.6418, prior_entropy: 0.7318, recall: 0.6418, relative_absolute_error: 1.0969, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.5985, root_relative_squared_error: 1.4826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4054, f_measure: 0.6163, kappa: -0.1952, kb_relative_information_score: -0.3468, mean_absolute_error: 0.3774, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.6103, predictive_accuracy: 0.6226, prior_entropy: 0.7318, recall: 0.6226, relative_absolute_error: 1.1556, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.6143, root_relative_squared_error: 1.5218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.53, f_measure: 0.7308, kappa: 0.0864, kb_relative_information_score: 0.2616, mean_absolute_error: 0.2069, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.7372, 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: 0.414, f_measure: 0.6267, kappa: -0.1855, kb_relative_information_score: -0.2784, mean_absolute_error: 0.3582, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.6125, predictive_accuracy: 0.6418, prior_entropy: 0.7318, recall: 0.6418, relative_absolute_error: 1.0969, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.5985, root_relative_squared_error: 1.4826,
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: 0.53, f_measure: 0.7308, kappa: 0.0864, kb_relative_information_score: 0.2616, mean_absolute_error: 0.2069, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.7372, 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: 0.4901, 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: 0.4916, f_measure: 0.6976, kappa: -0.0258, kb_relative_information_score: 0.2206, mean_absolute_error: 0.2184, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.6298, predictive_accuracy: 0.7816, prior_entropy: 0.7318, recall: 0.7816, relative_absolute_error: 0.6687, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4673, root_relative_squared_error: 1.1576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4916, f_measure: 0.6976, kappa: -0.0258, kb_relative_information_score: 0.2206, mean_absolute_error: 0.2184, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.6298, predictive_accuracy: 0.7816, prior_entropy: 0.7318, recall: 0.7816, relative_absolute_error: 0.6687, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4673, root_relative_squared_error: 1.1576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4964, f_measure: 0.7014, kappa: -0.0113, kb_relative_information_score: 0.248, mean_absolute_error: 0.2107, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.6311, predictive_accuracy: 0.7893, prior_entropy: 0.7318, recall: 0.7893, relative_absolute_error: 0.6452, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4591, root_relative_squared_error: 1.1371,
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: 0.4916, f_measure: 0.6976, kappa: -0.0258, kb_relative_information_score: 0.2206, mean_absolute_error: 0.2184, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.6298, predictive_accuracy: 0.7816, prior_entropy: 0.7318, recall: 0.7816, relative_absolute_error: 0.6687, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4673, root_relative_squared_error: 1.1576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4976, f_measure: 0.7023, kappa: -0.0076, kb_relative_information_score: 0.2548, mean_absolute_error: 0.2088, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.6314, 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: 0.4988, 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: 0.4006, 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: 0.4916, f_measure: 0.6976, kappa: -0.0258, kb_relative_information_score: 0.2206, mean_absolute_error: 0.2184, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.6298, predictive_accuracy: 0.7816, prior_entropy: 0.7318, recall: 0.7816, relative_absolute_error: 0.6687, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4673, root_relative_squared_error: 1.1576,
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: 0.4006, 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: 0.53, f_measure: 0.7308, kappa: 0.0864, kb_relative_information_score: 0.2616, mean_absolute_error: 0.2069, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.7372, 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: 0.4056, f_measure: 0.6184, kappa: -0.1985, kb_relative_information_score: -0.3263, mean_absolute_error: 0.3716, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.6089, 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: 0.4091, 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: 0.4453, f_measure: 0.6564, kappa: -0.1306, kb_relative_information_score: -0.1007, mean_absolute_error: 0.3084, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.6263, predictive_accuracy: 0.6916, prior_entropy: 0.7318, recall: 0.6916, relative_absolute_error: 0.9444, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.5554, root_relative_squared_error: 1.3757,
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: 0.5042, f_measure: 0.7091, kappa: 0.0124, kb_relative_information_score: 0.2138, mean_absolute_error: 0.2203, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.6844, 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: 0.4054, f_measure: 0.6163, kappa: -0.1952, kb_relative_information_score: -0.3468, mean_absolute_error: 0.3774, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.6103, predictive_accuracy: 0.6226, prior_entropy: 0.7318, recall: 0.6226, relative_absolute_error: 1.1556, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.6143, root_relative_squared_error: 1.5218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4103, f_measure: 0.6212, kappa: -0.188, kb_relative_information_score: -0.3195, mean_absolute_error: 0.3697, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.6124, predictive_accuracy: 0.6303, prior_entropy: 0.7318, recall: 0.6303, relative_absolute_error: 1.1321, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.6081, root_relative_squared_error: 1.5062,
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: 0.53, f_measure: 0.7308, kappa: 0.0864, kb_relative_information_score: 0.2616, mean_absolute_error: 0.2069, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.7372, 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: 0.3887, f_measure: 0.6015, kappa: -0.2226, kb_relative_information_score: -0.422, mean_absolute_error: 0.3985, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.6015, predictive_accuracy: 0.6015, prior_entropy: 0.7318, recall: 0.6015, relative_absolute_error: 1.2201, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.6312, root_relative_squared_error: 1.5637,
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: 0.4453, f_measure: 0.6564, kappa: -0.1306, kb_relative_information_score: -0.1007, mean_absolute_error: 0.3084, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.6263, predictive_accuracy: 0.6916, prior_entropy: 0.7318, recall: 0.6916, relative_absolute_error: 0.9444, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.5554, root_relative_squared_error: 1.3757,
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: 0.4768, f_measure: 0.6855, kappa: -0.0636, kb_relative_information_score: 0.0976, mean_absolute_error: 0.2529, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.6398, predictive_accuracy: 0.7471, prior_entropy: 0.7318, recall: 0.7471, relative_absolute_error: 0.7743, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.5029, root_relative_squared_error: 1.2457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.53, f_measure: 0.7308, kappa: 0.0864, kb_relative_information_score: 0.2616, mean_absolute_error: 0.2069, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.7372, 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,
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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: 0.4091, 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: 0.3994, 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: 0.4359, f_measure: 0.6488, kappa: -0.1514, kb_relative_information_score: -0.1349, mean_absolute_error: 0.318, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.6197, predictive_accuracy: 0.682, prior_entropy: 0.7318, recall: 0.682, relative_absolute_error: 0.9737, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.5639, root_relative_squared_error: 1.3969,
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: 0.4964, f_measure: 0.7014, kappa: -0.0113, kb_relative_information_score: 0.248, mean_absolute_error: 0.2107, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.6311, predictive_accuracy: 0.7893, prior_entropy: 0.7318, recall: 0.7893, relative_absolute_error: 0.6452, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4591, root_relative_squared_error: 1.1371,
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,

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