Task
Supervised Classification on semeion

Supervised Classification on semeion

Task 9964 Supervised Classification semeion 19912 runs submitted
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  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_50 study_7 study_98 study_99
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19912 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, f_measure: 0.8686, kappa: 0.8542, kb_relative_information_score: 0.8445, mean_absolute_error: 0.0402, mean_prior_absolute_error: 0.18, weighted_recall: 0.8688, number_of_instances: 1593, precision: 0.8704, predictive_accuracy: 0.8688, prior_entropy: 3.3218, relative_absolute_error: 0.2234, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1508, root_relative_squared_error: 0.5026, unweighted_recall: 0.8681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.8962, kappa: 0.8849, kb_relative_information_score: 0.8881, mean_absolute_error: 0.0263, mean_prior_absolute_error: 0.18, weighted_recall: 0.8964, number_of_instances: 1593, precision: 0.8967, predictive_accuracy: 0.8964, prior_entropy: 3.3218, relative_absolute_error: 0.1459, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1379, root_relative_squared_error: 0.4598, unweighted_recall: 0.8958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.8929, kappa: 0.8814, kb_relative_information_score: 0.5242, mean_absolute_error: 0.1302, mean_prior_absolute_error: 0.18, weighted_recall: 0.8933, number_of_instances: 1593, precision: 0.8937, predictive_accuracy: 0.8933, prior_entropy: 3.3218, relative_absolute_error: 0.7234, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2244, root_relative_squared_error: 0.7479, unweighted_recall: 0.8929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9173, kappa: 0.9079, kb_relative_information_score: 0.882, mean_absolute_error: 0.0357, mean_prior_absolute_error: 0.18, weighted_recall: 0.9171, number_of_instances: 1593, precision: 0.9183, predictive_accuracy: 0.9171, prior_entropy: 3.3218, relative_absolute_error: 0.1985, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1185, root_relative_squared_error: 0.3951, unweighted_recall: 0.9167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.8835, kappa: 0.871, kb_relative_information_score: 0.8364, mean_absolute_error: 0.0476, mean_prior_absolute_error: 0.18, weighted_recall: 0.8839, number_of_instances: 1593, precision: 0.885, predictive_accuracy: 0.8839, prior_entropy: 3.3218, relative_absolute_error: 0.2642, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1417, root_relative_squared_error: 0.4722, unweighted_recall: 0.8832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.8981, kappa: 0.887, kb_relative_information_score: 0.8896, mean_absolute_error: 0.0263, mean_prior_absolute_error: 0.18, weighted_recall: 0.8983, number_of_instances: 1593, precision: 0.8985, predictive_accuracy: 0.8983, prior_entropy: 3.3218, relative_absolute_error: 0.1461, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1357, root_relative_squared_error: 0.4523, unweighted_recall: 0.8977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, f_measure: 0.8478, kappa: 0.8319, kb_relative_information_score: 0.8295, mean_absolute_error: 0.0405, mean_prior_absolute_error: 0.18, weighted_recall: 0.8487, number_of_instances: 1593, precision: 0.849, predictive_accuracy: 0.8487, prior_entropy: 3.3218, relative_absolute_error: 0.225, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1677, root_relative_squared_error: 0.559, unweighted_recall: 0.8479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9075, kappa: 0.8975, kb_relative_information_score: 0.8919, mean_absolute_error: 0.0287, mean_prior_absolute_error: 0.18, weighted_recall: 0.9077, number_of_instances: 1593, precision: 0.9082, predictive_accuracy: 0.9077, prior_entropy: 3.3218, relative_absolute_error: 0.1593, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.125, root_relative_squared_error: 0.4168, unweighted_recall: 0.9072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9018, kappa: 0.8912, kb_relative_information_score: 0.8918, mean_absolute_error: 0.0268, mean_prior_absolute_error: 0.18, weighted_recall: 0.9021, number_of_instances: 1593, precision: 0.9023, predictive_accuracy: 0.9021, prior_entropy: 3.3218, relative_absolute_error: 0.1488, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1313, root_relative_squared_error: 0.4378, unweighted_recall: 0.9015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, f_measure: 0.8478, kappa: 0.8319, kb_relative_information_score: 0.8295, mean_absolute_error: 0.0405, mean_prior_absolute_error: 0.18, weighted_recall: 0.8487, number_of_instances: 1593, precision: 0.849, predictive_accuracy: 0.8487, prior_entropy: 3.3218, relative_absolute_error: 0.225, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1677, root_relative_squared_error: 0.559, unweighted_recall: 0.8479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.9154, kappa: 0.9058, kb_relative_information_score: 0.9173, mean_absolute_error: 0.0205, mean_prior_absolute_error: 0.18, weighted_recall: 0.9153, number_of_instances: 1593, precision: 0.9161, predictive_accuracy: 0.9153, prior_entropy: 3.3218, relative_absolute_error: 0.1139, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1095, root_relative_squared_error: 0.3651, unweighted_recall: 0.9149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.8845, kappa: 0.871, kb_relative_information_score: 0.5995, mean_absolute_error: 0.1148, mean_prior_absolute_error: 0.18, weighted_recall: 0.8839, number_of_instances: 1593, precision: 0.8865, predictive_accuracy: 0.8839, prior_entropy: 3.3218, relative_absolute_error: 0.6376, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2034, root_relative_squared_error: 0.6779, unweighted_recall: 0.8837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, f_measure: 0.8478, kappa: 0.8319, kb_relative_information_score: 0.8295, mean_absolute_error: 0.0405, mean_prior_absolute_error: 0.18, weighted_recall: 0.8487, number_of_instances: 1593, precision: 0.849, predictive_accuracy: 0.8487, prior_entropy: 3.3218, relative_absolute_error: 0.225, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1677, root_relative_squared_error: 0.559, unweighted_recall: 0.8479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, f_measure: 0.8686, kappa: 0.8542, kb_relative_information_score: 0.8445, mean_absolute_error: 0.0402, mean_prior_absolute_error: 0.18, weighted_recall: 0.8688, number_of_instances: 1593, precision: 0.8704, predictive_accuracy: 0.8688, prior_entropy: 3.3218, relative_absolute_error: 0.2234, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1508, root_relative_squared_error: 0.5026, unweighted_recall: 0.8681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9813, f_measure: 0.866, kappa: 0.8514, kb_relative_information_score: 0.8431, mean_absolute_error: 0.04, mean_prior_absolute_error: 0.18, weighted_recall: 0.8663, number_of_instances: 1593, precision: 0.8676, predictive_accuracy: 0.8663, prior_entropy: 3.3218, relative_absolute_error: 0.2223, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.153, root_relative_squared_error: 0.5099, unweighted_recall: 0.8656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.8962, kappa: 0.8849, kb_relative_information_score: 0.8881, mean_absolute_error: 0.0263, mean_prior_absolute_error: 0.18, weighted_recall: 0.8964, number_of_instances: 1593, precision: 0.8967, predictive_accuracy: 0.8964, prior_entropy: 3.3218, relative_absolute_error: 0.1459, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1379, root_relative_squared_error: 0.4598, unweighted_recall: 0.8958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.8929, kappa: 0.8814, kb_relative_information_score: 0.5242, mean_absolute_error: 0.1302, mean_prior_absolute_error: 0.18, weighted_recall: 0.8933, number_of_instances: 1593, precision: 0.8937, predictive_accuracy: 0.8933, prior_entropy: 3.3218, relative_absolute_error: 0.7234, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2244, root_relative_squared_error: 0.7479, unweighted_recall: 0.8929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9173, kappa: 0.9079, kb_relative_information_score: 0.882, mean_absolute_error: 0.0357, mean_prior_absolute_error: 0.18, weighted_recall: 0.9171, number_of_instances: 1593, precision: 0.9183, predictive_accuracy: 0.9171, prior_entropy: 3.3218, relative_absolute_error: 0.1985, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1185, root_relative_squared_error: 0.3951, unweighted_recall: 0.9167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.8932, kappa: 0.8814, kb_relative_information_score: 0.7879, mean_absolute_error: 0.0669, mean_prior_absolute_error: 0.18, weighted_recall: 0.8933, number_of_instances: 1593, precision: 0.8947, predictive_accuracy: 0.8933, prior_entropy: 3.3218, relative_absolute_error: 0.3716, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1485, root_relative_squared_error: 0.4949, unweighted_recall: 0.8927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.8955, kappa: 0.8842, kb_relative_information_score: 0.8875, mean_absolute_error: 0.0263, mean_prior_absolute_error: 0.18, weighted_recall: 0.8958, number_of_instances: 1593, precision: 0.896, predictive_accuracy: 0.8958, prior_entropy: 3.3218, relative_absolute_error: 0.1459, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1388, root_relative_squared_error: 0.4626, unweighted_recall: 0.8952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.8835, kappa: 0.871, kb_relative_information_score: 0.8364, mean_absolute_error: 0.0476, mean_prior_absolute_error: 0.18, weighted_recall: 0.8839, number_of_instances: 1593, precision: 0.885, predictive_accuracy: 0.8839, prior_entropy: 3.3218, relative_absolute_error: 0.2642, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1417, root_relative_squared_error: 0.4722, unweighted_recall: 0.8832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9798, f_measure: 0.8601, kappa: 0.8451, kb_relative_information_score: 0.8401, mean_absolute_error: 0.0393, mean_prior_absolute_error: 0.18, weighted_recall: 0.8606, number_of_instances: 1593, precision: 0.8616, predictive_accuracy: 0.8606, prior_entropy: 3.3218, relative_absolute_error: 0.2185, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1587, root_relative_squared_error: 0.529, unweighted_recall: 0.8599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.8981, kappa: 0.887, kb_relative_information_score: 0.8896, mean_absolute_error: 0.0263, mean_prior_absolute_error: 0.18, weighted_recall: 0.8983, number_of_instances: 1593, precision: 0.8985, predictive_accuracy: 0.8983, prior_entropy: 3.3218, relative_absolute_error: 0.1461, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1357, root_relative_squared_error: 0.4523, unweighted_recall: 0.8977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, f_measure: 0.8478, kappa: 0.8319, kb_relative_information_score: 0.8295, mean_absolute_error: 0.0405, mean_prior_absolute_error: 0.18, weighted_recall: 0.8487, number_of_instances: 1593, precision: 0.849, predictive_accuracy: 0.8487, prior_entropy: 3.3218, relative_absolute_error: 0.225, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1677, root_relative_squared_error: 0.559, unweighted_recall: 0.8479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9075, kappa: 0.8975, kb_relative_information_score: 0.8919, mean_absolute_error: 0.0287, mean_prior_absolute_error: 0.18, weighted_recall: 0.9077, number_of_instances: 1593, precision: 0.9082, predictive_accuracy: 0.9077, prior_entropy: 3.3218, relative_absolute_error: 0.1593, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.125, root_relative_squared_error: 0.4168, unweighted_recall: 0.9072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.8845, kappa: 0.871, kb_relative_information_score: 0.5995, mean_absolute_error: 0.1148, mean_prior_absolute_error: 0.18, weighted_recall: 0.8839, number_of_instances: 1593, precision: 0.8865, predictive_accuracy: 0.8839, prior_entropy: 3.3218, relative_absolute_error: 0.6376, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2034, root_relative_squared_error: 0.6779, unweighted_recall: 0.8837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9018, kappa: 0.8912, kb_relative_information_score: 0.8918, mean_absolute_error: 0.0268, mean_prior_absolute_error: 0.18, weighted_recall: 0.9021, number_of_instances: 1593, precision: 0.9023, predictive_accuracy: 0.9021, prior_entropy: 3.3218, relative_absolute_error: 0.1488, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1313, root_relative_squared_error: 0.4378, unweighted_recall: 0.9015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9225, kappa: 0.9135, kb_relative_information_score: 0.8171, mean_absolute_error: 0.0598, mean_prior_absolute_error: 0.18, weighted_recall: 0.9222, number_of_instances: 1593, precision: 0.9237, predictive_accuracy: 0.9222, prior_entropy: 3.3218, relative_absolute_error: 0.332, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1345, root_relative_squared_error: 0.4482, unweighted_recall: 0.9219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.8835, kappa: 0.871, kb_relative_information_score: 0.8361, mean_absolute_error: 0.0477, mean_prior_absolute_error: 0.18, weighted_recall: 0.8839, number_of_instances: 1593, precision: 0.885, predictive_accuracy: 0.8839, prior_entropy: 3.3218, relative_absolute_error: 0.2649, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1416, root_relative_squared_error: 0.472, unweighted_recall: 0.8832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, f_measure: 0.8478, kappa: 0.8319, kb_relative_information_score: 0.8295, mean_absolute_error: 0.0405, mean_prior_absolute_error: 0.18, weighted_recall: 0.8487, number_of_instances: 1593, precision: 0.849, predictive_accuracy: 0.8487, prior_entropy: 3.3218, relative_absolute_error: 0.225, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1677, root_relative_squared_error: 0.559, unweighted_recall: 0.8479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9153, kappa: 0.9058, kb_relative_information_score: 0.9168, mean_absolute_error: 0.0189, mean_prior_absolute_error: 0.18, weighted_recall: 0.9153, number_of_instances: 1593, precision: 0.916, predictive_accuracy: 0.9153, prior_entropy: 3.3218, relative_absolute_error: 0.105, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1146, root_relative_squared_error: 0.3819, unweighted_recall: 0.9149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.9154, kappa: 0.9058, kb_relative_information_score: 0.9173, mean_absolute_error: 0.0205, mean_prior_absolute_error: 0.18, weighted_recall: 0.9153, number_of_instances: 1593, precision: 0.9161, predictive_accuracy: 0.9153, prior_entropy: 3.3218, relative_absolute_error: 0.1139, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1095, root_relative_squared_error: 0.3651, unweighted_recall: 0.9149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.9243, kappa: 0.9156, kb_relative_information_score: 0.8533, mean_absolute_error: 0.0463, mean_prior_absolute_error: 0.18, weighted_recall: 0.924, number_of_instances: 1593, precision: 0.9252, predictive_accuracy: 0.924, prior_entropy: 3.3218, relative_absolute_error: 0.2572, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1204, root_relative_squared_error: 0.4014, unweighted_recall: 0.9238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.9242, kappa: 0.9156, kb_relative_information_score: 0.9077, mean_absolute_error: 0.0261, mean_prior_absolute_error: 0.18, weighted_recall: 0.924, number_of_instances: 1593, precision: 0.9248, predictive_accuracy: 0.924, prior_entropy: 3.3218, relative_absolute_error: 0.145, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1064, root_relative_squared_error: 0.3547, unweighted_recall: 0.9238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9075, kappa: 0.8975, kb_relative_information_score: 0.8919, mean_absolute_error: 0.0287, mean_prior_absolute_error: 0.18, weighted_recall: 0.9077, number_of_instances: 1593, precision: 0.9082, predictive_accuracy: 0.9077, prior_entropy: 3.3218, relative_absolute_error: 0.1593, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.125, root_relative_squared_error: 0.4168, unweighted_recall: 0.9072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.8835, kappa: 0.871, kb_relative_information_score: 0.8361, mean_absolute_error: 0.0477, mean_prior_absolute_error: 0.18, weighted_recall: 0.8839, number_of_instances: 1593, precision: 0.885, predictive_accuracy: 0.8839, prior_entropy: 3.3218, relative_absolute_error: 0.2649, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1416, root_relative_squared_error: 0.472, unweighted_recall: 0.8832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.8835, kappa: 0.871, kb_relative_information_score: 0.8361, mean_absolute_error: 0.0477, mean_prior_absolute_error: 0.18, weighted_recall: 0.8839, number_of_instances: 1593, precision: 0.885, predictive_accuracy: 0.8839, prior_entropy: 3.3218, relative_absolute_error: 0.2649, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1416, root_relative_squared_error: 0.472, unweighted_recall: 0.8832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.8835, kappa: 0.871, kb_relative_information_score: 0.8361, mean_absolute_error: 0.0477, mean_prior_absolute_error: 0.18, weighted_recall: 0.8839, number_of_instances: 1593, precision: 0.885, predictive_accuracy: 0.8839, prior_entropy: 3.3218, relative_absolute_error: 0.2649, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1416, root_relative_squared_error: 0.472, unweighted_recall: 0.8832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9225, kappa: 0.9135, kb_relative_information_score: 0.8171, mean_absolute_error: 0.0598, mean_prior_absolute_error: 0.18, weighted_recall: 0.9222, number_of_instances: 1593, precision: 0.9237, predictive_accuracy: 0.9222, prior_entropy: 3.3218, relative_absolute_error: 0.332, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1345, root_relative_squared_error: 0.4482, unweighted_recall: 0.9219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.8835, kappa: 0.871, kb_relative_information_score: 0.8361, mean_absolute_error: 0.0477, mean_prior_absolute_error: 0.18, weighted_recall: 0.8839, number_of_instances: 1593, precision: 0.885, predictive_accuracy: 0.8839, prior_entropy: 3.3218, relative_absolute_error: 0.2649, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1416, root_relative_squared_error: 0.472, unweighted_recall: 0.8832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9225, kappa: 0.9135, kb_relative_information_score: 0.8171, mean_absolute_error: 0.0598, mean_prior_absolute_error: 0.18, weighted_recall: 0.9222, number_of_instances: 1593, precision: 0.9237, predictive_accuracy: 0.9222, prior_entropy: 3.3218, relative_absolute_error: 0.332, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1345, root_relative_squared_error: 0.4482, unweighted_recall: 0.9219,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.8835, kappa: 0.871, kb_relative_information_score: 0.8361, mean_absolute_error: 0.0477, mean_prior_absolute_error: 0.18, weighted_recall: 0.8839, number_of_instances: 1593, precision: 0.885, predictive_accuracy: 0.8839, prior_entropy: 3.3218, relative_absolute_error: 0.2649, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1416, root_relative_squared_error: 0.472, unweighted_recall: 0.8832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.8835, kappa: 0.871, kb_relative_information_score: 0.8361, mean_absolute_error: 0.0477, mean_prior_absolute_error: 0.18, weighted_recall: 0.8839, number_of_instances: 1593, precision: 0.885, predictive_accuracy: 0.8839, prior_entropy: 3.3218, relative_absolute_error: 0.2649, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1416, root_relative_squared_error: 0.472, unweighted_recall: 0.8832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.8835, kappa: 0.871, kb_relative_information_score: 0.8361, mean_absolute_error: 0.0477, mean_prior_absolute_error: 0.18, weighted_recall: 0.8839, number_of_instances: 1593, precision: 0.885, predictive_accuracy: 0.8839, prior_entropy: 3.3218, relative_absolute_error: 0.2649, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1416, root_relative_squared_error: 0.472, unweighted_recall: 0.8832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.8835, kappa: 0.871, kb_relative_information_score: 0.8361, mean_absolute_error: 0.0477, mean_prior_absolute_error: 0.18, weighted_recall: 0.8839, number_of_instances: 1593, precision: 0.885, predictive_accuracy: 0.8839, prior_entropy: 3.3218, relative_absolute_error: 0.2649, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1416, root_relative_squared_error: 0.472, unweighted_recall: 0.8832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.8835, kappa: 0.871, kb_relative_information_score: 0.8361, mean_absolute_error: 0.0477, mean_prior_absolute_error: 0.18, weighted_recall: 0.8839, number_of_instances: 1593, precision: 0.885, predictive_accuracy: 0.8839, prior_entropy: 3.3218, relative_absolute_error: 0.2649, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1416, root_relative_squared_error: 0.472, unweighted_recall: 0.8832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.8835, kappa: 0.871, kb_relative_information_score: 0.8361, mean_absolute_error: 0.0477, mean_prior_absolute_error: 0.18, weighted_recall: 0.8839, number_of_instances: 1593, precision: 0.885, predictive_accuracy: 0.8839, prior_entropy: 3.3218, relative_absolute_error: 0.2649, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1416, root_relative_squared_error: 0.472, unweighted_recall: 0.8832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.8835, kappa: 0.871, kb_relative_information_score: 0.8361, mean_absolute_error: 0.0477, mean_prior_absolute_error: 0.18, weighted_recall: 0.8839, number_of_instances: 1593, precision: 0.885, predictive_accuracy: 0.8839, prior_entropy: 3.3218, relative_absolute_error: 0.2649, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1416, root_relative_squared_error: 0.472, unweighted_recall: 0.8832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.8845, kappa: 0.871, kb_relative_information_score: 0.5995, mean_absolute_error: 0.1148, mean_prior_absolute_error: 0.18, weighted_recall: 0.8839, number_of_instances: 1593, precision: 0.8865, predictive_accuracy: 0.8839, prior_entropy: 3.3218, relative_absolute_error: 0.6376, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2034, root_relative_squared_error: 0.6779, unweighted_recall: 0.8837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.8845, kappa: 0.871, kb_relative_information_score: 0.5995, mean_absolute_error: 0.1148, mean_prior_absolute_error: 0.18, weighted_recall: 0.8839, number_of_instances: 1593, precision: 0.8865, predictive_accuracy: 0.8839, prior_entropy: 3.3218, relative_absolute_error: 0.6376, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2034, root_relative_squared_error: 0.6779, unweighted_recall: 0.8837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9173, kappa: 0.9079, kb_relative_information_score: 0.882, mean_absolute_error: 0.0357, mean_prior_absolute_error: 0.18, weighted_recall: 0.9171, number_of_instances: 1593, precision: 0.9183, predictive_accuracy: 0.9171, prior_entropy: 3.3218, relative_absolute_error: 0.1985, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1185, root_relative_squared_error: 0.3951, unweighted_recall: 0.9167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.8845, kappa: 0.871, kb_relative_information_score: 0.5995, mean_absolute_error: 0.1148, mean_prior_absolute_error: 0.18, weighted_recall: 0.8839, number_of_instances: 1593, precision: 0.8865, predictive_accuracy: 0.8839, prior_entropy: 3.3218, relative_absolute_error: 0.6376, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2034, root_relative_squared_error: 0.6779, unweighted_recall: 0.8837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9075, kappa: 0.8975, kb_relative_information_score: 0.8919, mean_absolute_error: 0.0287, mean_prior_absolute_error: 0.18, weighted_recall: 0.9077, number_of_instances: 1593, precision: 0.9082, predictive_accuracy: 0.9077, prior_entropy: 3.3218, relative_absolute_error: 0.1593, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.125, root_relative_squared_error: 0.4168, unweighted_recall: 0.9072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.8845, kappa: 0.871, kb_relative_information_score: 0.5995, mean_absolute_error: 0.1148, mean_prior_absolute_error: 0.18, weighted_recall: 0.8839, number_of_instances: 1593, precision: 0.8865, predictive_accuracy: 0.8839, prior_entropy: 3.3218, relative_absolute_error: 0.6376, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2034, root_relative_squared_error: 0.6779, unweighted_recall: 0.8837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.8835, kappa: 0.871, kb_relative_information_score: 0.8361, mean_absolute_error: 0.0477, mean_prior_absolute_error: 0.18, weighted_recall: 0.8839, number_of_instances: 1593, precision: 0.885, predictive_accuracy: 0.8839, prior_entropy: 3.3218, relative_absolute_error: 0.2649, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1416, root_relative_squared_error: 0.472, unweighted_recall: 0.8832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.8835, kappa: 0.871, kb_relative_information_score: 0.8361, mean_absolute_error: 0.0477, mean_prior_absolute_error: 0.18, weighted_recall: 0.8839, number_of_instances: 1593, precision: 0.885, predictive_accuracy: 0.8839, prior_entropy: 3.3218, relative_absolute_error: 0.2649, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1416, root_relative_squared_error: 0.472, unweighted_recall: 0.8832,

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