OpenML
Supervised Classification on pendigits

Supervised Classification on pendigits

Task 32 Supervised Classification pendigits 23199 runs submitted
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  • at2 basic OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_41 study_7 study_70 study_98 study_99 under100k under1m
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23199 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9352, kappa: 0.928, kb_relative_information_score: 0.9065, mean_absolute_error: 0.0287, mean_prior_absolute_error: 0.18, weighted_recall: 0.9352, number_of_instances: 10992, precision: 0.9354, predictive_accuracy: 0.9352, prior_entropy: 3.3208, relative_absolute_error: 0.1596, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1076, root_relative_squared_error: 0.3587, unweighted_recall: 0.9349,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9359, kappa: 0.9287, kb_relative_information_score: 0.907, mean_absolute_error: 0.0286, mean_prior_absolute_error: 0.18, weighted_recall: 0.9359, number_of_instances: 10992, precision: 0.936, predictive_accuracy: 0.9359, prior_entropy: 3.3208, relative_absolute_error: 0.1588, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1074, root_relative_squared_error: 0.3582, unweighted_recall: 0.9356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9325, kappa: 0.9251, kb_relative_information_score: 0.8991, mean_absolute_error: 0.0314, mean_prior_absolute_error: 0.18, weighted_recall: 0.9326, number_of_instances: 10992, precision: 0.9326, predictive_accuracy: 0.9326, prior_entropy: 3.3208, relative_absolute_error: 0.1747, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1097, root_relative_squared_error: 0.3656, unweighted_recall: 0.9323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9721, f_measure: 0.8384, kappa: 0.8262, kb_relative_information_score: 0.5751, mean_absolute_error: 0.1188, mean_prior_absolute_error: 0.18, weighted_recall: 0.8436, number_of_instances: 10992, precision: 0.8453, predictive_accuracy: 0.8436, prior_entropy: 3.3208, relative_absolute_error: 0.6603, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2125, root_relative_squared_error: 0.7082, unweighted_recall: 0.843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9351, kappa: 0.9279, kb_relative_information_score: 0.9054, mean_absolute_error: 0.0291, mean_prior_absolute_error: 0.18, weighted_recall: 0.9351, number_of_instances: 10992, precision: 0.9353, predictive_accuracy: 0.9351, prior_entropy: 3.3208, relative_absolute_error: 0.1618, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1079, root_relative_squared_error: 0.3597, unweighted_recall: 0.9348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.8874, kappa: 0.8769, kb_relative_information_score: 0.7862, mean_absolute_error: 0.0676, mean_prior_absolute_error: 0.18, weighted_recall: 0.8892, number_of_instances: 10992, precision: 0.8885, predictive_accuracy: 0.8892, prior_entropy: 3.3208, relative_absolute_error: 0.3757, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1496, root_relative_squared_error: 0.4988, unweighted_recall: 0.889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9304, kappa: 0.9228, kb_relative_information_score: 0.8916, mean_absolute_error: 0.0341, mean_prior_absolute_error: 0.18, weighted_recall: 0.9305, number_of_instances: 10992, precision: 0.9305, predictive_accuracy: 0.9305, prior_entropy: 3.3208, relative_absolute_error: 0.1894, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1119, root_relative_squared_error: 0.3731, unweighted_recall: 0.9302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9359, kappa: 0.9287, kb_relative_information_score: 0.907, mean_absolute_error: 0.0286, mean_prior_absolute_error: 0.18, weighted_recall: 0.9359, number_of_instances: 10992, precision: 0.936, predictive_accuracy: 0.9359, prior_entropy: 3.3208, relative_absolute_error: 0.1588, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1074, root_relative_squared_error: 0.3582, unweighted_recall: 0.9356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9542, kappa: 0.9491, kb_relative_information_score: 0.947, mean_absolute_error: 0.0153, mean_prior_absolute_error: 0.18, weighted_recall: 0.9542, number_of_instances: 10992, precision: 0.9543, predictive_accuracy: 0.9542, prior_entropy: 3.3208, relative_absolute_error: 0.0851, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0845, root_relative_squared_error: 0.2816, unweighted_recall: 0.954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9518, kappa: 0.9464, kb_relative_information_score: 0.9383, mean_absolute_error: 0.0186, mean_prior_absolute_error: 0.18, weighted_recall: 0.9518, number_of_instances: 10992, precision: 0.9519, predictive_accuracy: 0.9518, prior_entropy: 3.3208, relative_absolute_error: 0.1033, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0877, root_relative_squared_error: 0.2924, unweighted_recall: 0.9515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9002, kappa: 0.8902, kb_relative_information_score: 0.8266, mean_absolute_error: 0.0546, mean_prior_absolute_error: 0.18, weighted_recall: 0.9012, number_of_instances: 10992, precision: 0.9007, predictive_accuracy: 0.9012, prior_entropy: 3.3208, relative_absolute_error: 0.3032, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1341, root_relative_squared_error: 0.4471, unweighted_recall: 0.9011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9355, kappa: 0.9284, kb_relative_information_score: 0.9087, mean_absolute_error: 0.0289, mean_prior_absolute_error: 0.18, weighted_recall: 0.9356, number_of_instances: 10992, precision: 0.9358, predictive_accuracy: 0.9356, prior_entropy: 3.3208, relative_absolute_error: 0.1606, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1012, root_relative_squared_error: 0.3374, unweighted_recall: 0.9355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9304, kappa: 0.9228, kb_relative_information_score: 0.8916, mean_absolute_error: 0.0341, mean_prior_absolute_error: 0.18, weighted_recall: 0.9305, number_of_instances: 10992, precision: 0.9305, predictive_accuracy: 0.9305, prior_entropy: 3.3208, relative_absolute_error: 0.1894, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1119, root_relative_squared_error: 0.3731, unweighted_recall: 0.9302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9352, kappa: 0.928, kb_relative_information_score: 0.9065, mean_absolute_error: 0.0287, mean_prior_absolute_error: 0.18, weighted_recall: 0.9352, number_of_instances: 10992, precision: 0.9354, predictive_accuracy: 0.9352, prior_entropy: 3.3208, relative_absolute_error: 0.1596, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1076, root_relative_squared_error: 0.3587, unweighted_recall: 0.9349,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9304, kappa: 0.9228, kb_relative_information_score: 0.8916, mean_absolute_error: 0.0341, mean_prior_absolute_error: 0.18, weighted_recall: 0.9305, number_of_instances: 10992, precision: 0.9305, predictive_accuracy: 0.9305, prior_entropy: 3.3208, relative_absolute_error: 0.1894, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1119, root_relative_squared_error: 0.3731, unweighted_recall: 0.9302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9304, kappa: 0.9228, kb_relative_information_score: 0.8916, mean_absolute_error: 0.0341, mean_prior_absolute_error: 0.18, weighted_recall: 0.9305, number_of_instances: 10992, precision: 0.9305, predictive_accuracy: 0.9305, prior_entropy: 3.3208, relative_absolute_error: 0.1894, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1119, root_relative_squared_error: 0.3731, unweighted_recall: 0.9302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9304, kappa: 0.9228, kb_relative_information_score: 0.8916, mean_absolute_error: 0.0341, mean_prior_absolute_error: 0.18, weighted_recall: 0.9305, number_of_instances: 10992, precision: 0.9305, predictive_accuracy: 0.9305, prior_entropy: 3.3208, relative_absolute_error: 0.1894, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1119, root_relative_squared_error: 0.3731, unweighted_recall: 0.9302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9304, kappa: 0.9228, kb_relative_information_score: 0.8916, mean_absolute_error: 0.0341, mean_prior_absolute_error: 0.18, weighted_recall: 0.9305, number_of_instances: 10992, precision: 0.9305, predictive_accuracy: 0.9305, prior_entropy: 3.3208, relative_absolute_error: 0.1894, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1119, root_relative_squared_error: 0.3731, unweighted_recall: 0.9302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9304, kappa: 0.9228, kb_relative_information_score: 0.8916, mean_absolute_error: 0.0341, mean_prior_absolute_error: 0.18, weighted_recall: 0.9305, number_of_instances: 10992, precision: 0.9305, predictive_accuracy: 0.9305, prior_entropy: 3.3208, relative_absolute_error: 0.1894, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1119, root_relative_squared_error: 0.3731, unweighted_recall: 0.9302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9304, kappa: 0.9228, kb_relative_information_score: 0.8916, mean_absolute_error: 0.0341, mean_prior_absolute_error: 0.18, weighted_recall: 0.9305, number_of_instances: 10992, precision: 0.9305, predictive_accuracy: 0.9305, prior_entropy: 3.3208, relative_absolute_error: 0.1894, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1119, root_relative_squared_error: 0.3731, unweighted_recall: 0.9302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9304, kappa: 0.9228, kb_relative_information_score: 0.8916, mean_absolute_error: 0.0341, mean_prior_absolute_error: 0.18, weighted_recall: 0.9305, number_of_instances: 10992, precision: 0.9305, predictive_accuracy: 0.9305, prior_entropy: 3.3208, relative_absolute_error: 0.1894, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1119, root_relative_squared_error: 0.3731, unweighted_recall: 0.9302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9304, kappa: 0.9228, kb_relative_information_score: 0.8916, mean_absolute_error: 0.0341, mean_prior_absolute_error: 0.18, weighted_recall: 0.9305, number_of_instances: 10992, precision: 0.9305, predictive_accuracy: 0.9305, prior_entropy: 3.3208, relative_absolute_error: 0.1894, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1119, root_relative_squared_error: 0.3731, unweighted_recall: 0.9302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9721, f_measure: 0.8384, kappa: 0.8262, kb_relative_information_score: 0.5751, mean_absolute_error: 0.1188, mean_prior_absolute_error: 0.18, weighted_recall: 0.8436, number_of_instances: 10992, precision: 0.8453, predictive_accuracy: 0.8436, prior_entropy: 3.3208, relative_absolute_error: 0.6603, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2125, root_relative_squared_error: 0.7082, unweighted_recall: 0.843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9304, kappa: 0.9228, kb_relative_information_score: 0.8916, mean_absolute_error: 0.0341, mean_prior_absolute_error: 0.18, weighted_recall: 0.9305, number_of_instances: 10992, precision: 0.9305, predictive_accuracy: 0.9305, prior_entropy: 3.3208, relative_absolute_error: 0.1894, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1119, root_relative_squared_error: 0.3731, unweighted_recall: 0.9302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9304, kappa: 0.9228, kb_relative_information_score: 0.8916, mean_absolute_error: 0.0341, mean_prior_absolute_error: 0.18, weighted_recall: 0.9305, number_of_instances: 10992, precision: 0.9305, predictive_accuracy: 0.9305, prior_entropy: 3.3208, relative_absolute_error: 0.1894, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1119, root_relative_squared_error: 0.3731, unweighted_recall: 0.9302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9304, kappa: 0.9228, kb_relative_information_score: 0.8916, mean_absolute_error: 0.0341, mean_prior_absolute_error: 0.18, weighted_recall: 0.9305, number_of_instances: 10992, precision: 0.9305, predictive_accuracy: 0.9305, prior_entropy: 3.3208, relative_absolute_error: 0.1894, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1119, root_relative_squared_error: 0.3731, unweighted_recall: 0.9302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9304, kappa: 0.9228, kb_relative_information_score: 0.8916, mean_absolute_error: 0.0341, mean_prior_absolute_error: 0.18, weighted_recall: 0.9305, number_of_instances: 10992, precision: 0.9305, predictive_accuracy: 0.9305, prior_entropy: 3.3208, relative_absolute_error: 0.1894, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1119, root_relative_squared_error: 0.3731, unweighted_recall: 0.9302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9351, kappa: 0.9279, kb_relative_information_score: 0.9054, mean_absolute_error: 0.0291, mean_prior_absolute_error: 0.18, weighted_recall: 0.9351, number_of_instances: 10992, precision: 0.9353, predictive_accuracy: 0.9351, prior_entropy: 3.3208, relative_absolute_error: 0.1618, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1079, root_relative_squared_error: 0.3597, unweighted_recall: 0.9348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9304, kappa: 0.9228, kb_relative_information_score: 0.8916, mean_absolute_error: 0.0341, mean_prior_absolute_error: 0.18, weighted_recall: 0.9305, number_of_instances: 10992, precision: 0.9305, predictive_accuracy: 0.9305, prior_entropy: 3.3208, relative_absolute_error: 0.1894, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1119, root_relative_squared_error: 0.3731, unweighted_recall: 0.9302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.9217, kappa: 0.9134, kb_relative_information_score: 0.8713, mean_absolute_error: 0.0411, mean_prior_absolute_error: 0.18, weighted_recall: 0.922, number_of_instances: 10992, precision: 0.9219, predictive_accuracy: 0.922, prior_entropy: 3.3208, relative_absolute_error: 0.2284, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1194, root_relative_squared_error: 0.3979, unweighted_recall: 0.9218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9721, f_measure: 0.8384, kappa: 0.8262, kb_relative_information_score: 0.5751, mean_absolute_error: 0.1188, mean_prior_absolute_error: 0.18, weighted_recall: 0.8436, number_of_instances: 10992, precision: 0.8453, predictive_accuracy: 0.8436, prior_entropy: 3.3208, relative_absolute_error: 0.6603, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2125, root_relative_squared_error: 0.7082, unweighted_recall: 0.843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9721, f_measure: 0.8384, kappa: 0.8262, kb_relative_information_score: 0.5751, mean_absolute_error: 0.1188, mean_prior_absolute_error: 0.18, weighted_recall: 0.8436, number_of_instances: 10992, precision: 0.8453, predictive_accuracy: 0.8436, prior_entropy: 3.3208, relative_absolute_error: 0.6603, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2125, root_relative_squared_error: 0.7082, unweighted_recall: 0.843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9721, f_measure: 0.8384, kappa: 0.8262, kb_relative_information_score: 0.5751, mean_absolute_error: 0.1188, mean_prior_absolute_error: 0.18, weighted_recall: 0.8436, number_of_instances: 10992, precision: 0.8453, predictive_accuracy: 0.8436, prior_entropy: 3.3208, relative_absolute_error: 0.6603, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2125, root_relative_squared_error: 0.7082, unweighted_recall: 0.843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.9217, kappa: 0.9134, kb_relative_information_score: 0.8713, mean_absolute_error: 0.0411, mean_prior_absolute_error: 0.18, weighted_recall: 0.922, number_of_instances: 10992, precision: 0.9219, predictive_accuracy: 0.922, prior_entropy: 3.3208, relative_absolute_error: 0.2284, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1194, root_relative_squared_error: 0.3979, unweighted_recall: 0.9218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9359, kappa: 0.9287, kb_relative_information_score: 0.907, mean_absolute_error: 0.0286, mean_prior_absolute_error: 0.18, weighted_recall: 0.9359, number_of_instances: 10992, precision: 0.936, predictive_accuracy: 0.9359, prior_entropy: 3.3208, relative_absolute_error: 0.1588, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1074, root_relative_squared_error: 0.3582, unweighted_recall: 0.9356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9304, kappa: 0.9228, kb_relative_information_score: 0.8916, mean_absolute_error: 0.0341, mean_prior_absolute_error: 0.18, weighted_recall: 0.9305, number_of_instances: 10992, precision: 0.9305, predictive_accuracy: 0.9305, prior_entropy: 3.3208, relative_absolute_error: 0.1894, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1119, root_relative_squared_error: 0.3731, unweighted_recall: 0.9302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9351, kappa: 0.9279, kb_relative_information_score: 0.9054, mean_absolute_error: 0.0291, mean_prior_absolute_error: 0.18, weighted_recall: 0.9351, number_of_instances: 10992, precision: 0.9353, predictive_accuracy: 0.9351, prior_entropy: 3.3208, relative_absolute_error: 0.1618, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1079, root_relative_squared_error: 0.3597, unweighted_recall: 0.9348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9325, kappa: 0.9251, kb_relative_information_score: 0.8991, mean_absolute_error: 0.0314, mean_prior_absolute_error: 0.18, weighted_recall: 0.9326, number_of_instances: 10992, precision: 0.9326, predictive_accuracy: 0.9326, prior_entropy: 3.3208, relative_absolute_error: 0.1747, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1097, root_relative_squared_error: 0.3656, unweighted_recall: 0.9323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9304, kappa: 0.9228, kb_relative_information_score: 0.8916, mean_absolute_error: 0.0341, mean_prior_absolute_error: 0.18, weighted_recall: 0.9305, number_of_instances: 10992, precision: 0.9305, predictive_accuracy: 0.9305, prior_entropy: 3.3208, relative_absolute_error: 0.1894, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1119, root_relative_squared_error: 0.3731, unweighted_recall: 0.9302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9304, kappa: 0.9229, kb_relative_information_score: 0.8919, mean_absolute_error: 0.034, mean_prior_absolute_error: 0.18, weighted_recall: 0.9306, number_of_instances: 10992, precision: 0.9306, predictive_accuracy: 0.9306, prior_entropy: 3.3208, relative_absolute_error: 0.1889, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1118, root_relative_squared_error: 0.3728, unweighted_recall: 0.9303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9304, kappa: 0.9228, kb_relative_information_score: 0.8916, mean_absolute_error: 0.0341, mean_prior_absolute_error: 0.18, weighted_recall: 0.9305, number_of_instances: 10992, precision: 0.9305, predictive_accuracy: 0.9305, prior_entropy: 3.3208, relative_absolute_error: 0.1894, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1119, root_relative_squared_error: 0.3731, unweighted_recall: 0.9302,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9304, kappa: 0.9228, kb_relative_information_score: 0.8916, mean_absolute_error: 0.0341, mean_prior_absolute_error: 0.18, weighted_recall: 0.9305, number_of_instances: 10992, precision: 0.9305, predictive_accuracy: 0.9305, prior_entropy: 3.3208, relative_absolute_error: 0.1894, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1119, root_relative_squared_error: 0.3731, unweighted_recall: 0.9302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9304, kappa: 0.9228, kb_relative_information_score: 0.8916, mean_absolute_error: 0.0341, mean_prior_absolute_error: 0.18, weighted_recall: 0.9305, number_of_instances: 10992, precision: 0.9305, predictive_accuracy: 0.9305, prior_entropy: 3.3208, relative_absolute_error: 0.1894, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1119, root_relative_squared_error: 0.3731, unweighted_recall: 0.9302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9304, kappa: 0.9228, kb_relative_information_score: 0.8916, mean_absolute_error: 0.0341, mean_prior_absolute_error: 0.18, weighted_recall: 0.9305, number_of_instances: 10992, precision: 0.9305, predictive_accuracy: 0.9305, prior_entropy: 3.3208, relative_absolute_error: 0.1894, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1119, root_relative_squared_error: 0.3731, unweighted_recall: 0.9302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9351, kappa: 0.9279, kb_relative_information_score: 0.9054, mean_absolute_error: 0.0291, mean_prior_absolute_error: 0.18, weighted_recall: 0.9351, number_of_instances: 10992, precision: 0.9353, predictive_accuracy: 0.9351, prior_entropy: 3.3208, relative_absolute_error: 0.1618, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1079, root_relative_squared_error: 0.3598, unweighted_recall: 0.9348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9352, kappa: 0.928, kb_relative_information_score: 0.9065, mean_absolute_error: 0.0287, mean_prior_absolute_error: 0.18, weighted_recall: 0.9352, number_of_instances: 10992, precision: 0.9354, predictive_accuracy: 0.9352, prior_entropy: 3.3208, relative_absolute_error: 0.1596, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1076, root_relative_squared_error: 0.3587, unweighted_recall: 0.9349,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9304, kappa: 0.9228, kb_relative_information_score: 0.8916, mean_absolute_error: 0.0341, mean_prior_absolute_error: 0.18, weighted_recall: 0.9305, number_of_instances: 10992, precision: 0.9305, predictive_accuracy: 0.9305, prior_entropy: 3.3208, relative_absolute_error: 0.1894, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1119, root_relative_squared_error: 0.3731, unweighted_recall: 0.9302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9304, kappa: 0.9228, kb_relative_information_score: 0.8916, mean_absolute_error: 0.0341, mean_prior_absolute_error: 0.18, weighted_recall: 0.9305, number_of_instances: 10992, precision: 0.9305, predictive_accuracy: 0.9305, prior_entropy: 3.3208, relative_absolute_error: 0.1894, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1119, root_relative_squared_error: 0.3731, unweighted_recall: 0.9302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9333, kappa: 0.9259, kb_relative_information_score: 0.9075, mean_absolute_error: 0.0279, mean_prior_absolute_error: 0.18, weighted_recall: 0.9333, number_of_instances: 10992, precision: 0.9335, predictive_accuracy: 0.9333, prior_entropy: 3.3208, relative_absolute_error: 0.1551, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1085, root_relative_squared_error: 0.3617, unweighted_recall: 0.933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9304, kappa: 0.9228, kb_relative_information_score: 0.8916, mean_absolute_error: 0.0341, mean_prior_absolute_error: 0.18, weighted_recall: 0.9305, number_of_instances: 10992, precision: 0.9305, predictive_accuracy: 0.9305, prior_entropy: 3.3208, relative_absolute_error: 0.1894, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1119, root_relative_squared_error: 0.3731, unweighted_recall: 0.9302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9359, kappa: 0.9287, kb_relative_information_score: 0.9069, mean_absolute_error: 0.0286, mean_prior_absolute_error: 0.18, weighted_recall: 0.9359, number_of_instances: 10992, precision: 0.936, predictive_accuracy: 0.9359, prior_entropy: 3.3208, relative_absolute_error: 0.1588, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1075, root_relative_squared_error: 0.3582, unweighted_recall: 0.9356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9359, kappa: 0.9287, kb_relative_information_score: 0.907, mean_absolute_error: 0.0286, mean_prior_absolute_error: 0.18, weighted_recall: 0.9359, number_of_instances: 10992, precision: 0.936, predictive_accuracy: 0.9359, prior_entropy: 3.3208, relative_absolute_error: 0.1588, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1074, root_relative_squared_error: 0.3582, unweighted_recall: 0.9356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9304, kappa: 0.9228, kb_relative_information_score: 0.8916, mean_absolute_error: 0.0341, mean_prior_absolute_error: 0.18, weighted_recall: 0.9305, number_of_instances: 10992, precision: 0.9305, predictive_accuracy: 0.9305, prior_entropy: 3.3208, relative_absolute_error: 0.1894, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1119, root_relative_squared_error: 0.3731, unweighted_recall: 0.9302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9721, f_measure: 0.8384, kappa: 0.8262, kb_relative_information_score: 0.5751, mean_absolute_error: 0.1188, mean_prior_absolute_error: 0.18, weighted_recall: 0.8436, number_of_instances: 10992, precision: 0.8453, predictive_accuracy: 0.8436, prior_entropy: 3.3208, relative_absolute_error: 0.6603, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2125, root_relative_squared_error: 0.7082, unweighted_recall: 0.843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9304, kappa: 0.9228, kb_relative_information_score: 0.8916, mean_absolute_error: 0.0341, mean_prior_absolute_error: 0.18, weighted_recall: 0.9305, number_of_instances: 10992, precision: 0.9305, predictive_accuracy: 0.9305, prior_entropy: 3.3208, relative_absolute_error: 0.1894, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1119, root_relative_squared_error: 0.3731, unweighted_recall: 0.9302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9304, kappa: 0.9228, kb_relative_information_score: 0.8916, mean_absolute_error: 0.0341, mean_prior_absolute_error: 0.18, weighted_recall: 0.9305, number_of_instances: 10992, precision: 0.9305, predictive_accuracy: 0.9305, prior_entropy: 3.3208, relative_absolute_error: 0.1894, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1119, root_relative_squared_error: 0.3731, unweighted_recall: 0.9302,

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