OpenML
Supervised Classification on pc3

Supervised Classification on pc3

Task 3903 Supervised Classification pc3 143201 runs submitted
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  • mythbusting_1 OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_41 study_7 study_98 study_99 under100k under1m
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143201 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7975, f_measure: 0.8489, kappa: -0.0013, kb_relative_information_score: -0.0885, mean_absolute_error: 0.1762, mean_prior_absolute_error: 0.1842, weighted_recall: 0.897, number_of_instances: 1563, precision: 0.8057, predictive_accuracy: 0.897, prior_entropy: 0.4765, relative_absolute_error: 0.9566, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2934, root_relative_squared_error: 0.968, unweighted_recall: 0.4996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8107, f_measure: 0.8731, kappa: 0.1934, kb_relative_information_score: -0.115, mean_absolute_error: 0.1574, mean_prior_absolute_error: 0.1842, weighted_recall: 0.9002, number_of_instances: 1563, precision: 0.8728, predictive_accuracy: 0.9002, prior_entropy: 0.4765, relative_absolute_error: 0.8548, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2829, root_relative_squared_error: 0.9333, unweighted_recall: 0.5651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8107, f_measure: 0.8731, kappa: 0.1934, kb_relative_information_score: -0.115, mean_absolute_error: 0.1574, mean_prior_absolute_error: 0.1842, weighted_recall: 0.9002, number_of_instances: 1563, precision: 0.8728, predictive_accuracy: 0.9002, prior_entropy: 0.4765, relative_absolute_error: 0.8548, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2829, root_relative_squared_error: 0.9333, unweighted_recall: 0.5651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7975, f_measure: 0.8489, kappa: -0.0013, kb_relative_information_score: -0.0885, mean_absolute_error: 0.1762, mean_prior_absolute_error: 0.1842, weighted_recall: 0.897, number_of_instances: 1563, precision: 0.8057, predictive_accuracy: 0.897, prior_entropy: 0.4765, relative_absolute_error: 0.9566, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2934, root_relative_squared_error: 0.968, unweighted_recall: 0.4996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8108, f_measure: 0.8731, kappa: 0.1934, kb_relative_information_score: -0.1145, mean_absolute_error: 0.1573, mean_prior_absolute_error: 0.1842, weighted_recall: 0.9002, number_of_instances: 1563, precision: 0.8728, predictive_accuracy: 0.9002, prior_entropy: 0.4765, relative_absolute_error: 0.8543, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2829, root_relative_squared_error: 0.9332, unweighted_recall: 0.5651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8194, f_measure: 0.8755, kappa: 0.2238, kb_relative_information_score: -0.063, mean_absolute_error: 0.1487, mean_prior_absolute_error: 0.1842, weighted_recall: 0.8976, number_of_instances: 1563, precision: 0.8707, predictive_accuracy: 0.8976, prior_entropy: 0.4765, relative_absolute_error: 0.8075, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2822, root_relative_squared_error: 0.9308, unweighted_recall: 0.5803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8107, f_measure: 0.8731, kappa: 0.1934, kb_relative_information_score: -0.115, mean_absolute_error: 0.1574, mean_prior_absolute_error: 0.1842, weighted_recall: 0.9002, number_of_instances: 1563, precision: 0.8728, predictive_accuracy: 0.9002, prior_entropy: 0.4765, relative_absolute_error: 0.8548, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2829, root_relative_squared_error: 0.9333, unweighted_recall: 0.5651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8107, f_measure: 0.8731, kappa: 0.1934, kb_relative_information_score: -0.115, mean_absolute_error: 0.1574, mean_prior_absolute_error: 0.1842, weighted_recall: 0.9002, number_of_instances: 1563, precision: 0.8728, predictive_accuracy: 0.9002, prior_entropy: 0.4765, relative_absolute_error: 0.8548, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2829, root_relative_squared_error: 0.9333, unweighted_recall: 0.5651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8107, f_measure: 0.8731, kappa: 0.1934, kb_relative_information_score: -0.115, mean_absolute_error: 0.1574, mean_prior_absolute_error: 0.1842, weighted_recall: 0.9002, number_of_instances: 1563, precision: 0.8728, predictive_accuracy: 0.9002, prior_entropy: 0.4765, relative_absolute_error: 0.8548, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2829, root_relative_squared_error: 0.9333, unweighted_recall: 0.5651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8107, f_measure: 0.8731, kappa: 0.1934, kb_relative_information_score: -0.115, mean_absolute_error: 0.1574, mean_prior_absolute_error: 0.1842, weighted_recall: 0.9002, number_of_instances: 1563, precision: 0.8728, predictive_accuracy: 0.9002, prior_entropy: 0.4765, relative_absolute_error: 0.8548, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2829, root_relative_squared_error: 0.9333, unweighted_recall: 0.5651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8107, f_measure: 0.8731, kappa: 0.1934, kb_relative_information_score: -0.115, mean_absolute_error: 0.1574, mean_prior_absolute_error: 0.1842, weighted_recall: 0.9002, number_of_instances: 1563, precision: 0.8728, predictive_accuracy: 0.9002, prior_entropy: 0.4765, relative_absolute_error: 0.8548, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2829, root_relative_squared_error: 0.9333, unweighted_recall: 0.5651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7975, f_measure: 0.8489, kappa: -0.0013, kb_relative_information_score: -0.0885, mean_absolute_error: 0.1762, mean_prior_absolute_error: 0.1842, weighted_recall: 0.897, number_of_instances: 1563, precision: 0.8057, predictive_accuracy: 0.897, prior_entropy: 0.4765, relative_absolute_error: 0.9566, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2934, root_relative_squared_error: 0.968, unweighted_recall: 0.4996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8193, f_measure: 0.8737, kappa: 0.2098, kb_relative_information_score: -0.0665, mean_absolute_error: 0.1493, mean_prior_absolute_error: 0.1842, weighted_recall: 0.897, number_of_instances: 1563, precision: 0.8687, predictive_accuracy: 0.897, prior_entropy: 0.4765, relative_absolute_error: 0.8108, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2814, root_relative_squared_error: 0.9284, unweighted_recall: 0.5744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8107, f_measure: 0.8731, kappa: 0.1934, kb_relative_information_score: -0.115, mean_absolute_error: 0.1574, mean_prior_absolute_error: 0.1842, weighted_recall: 0.9002, number_of_instances: 1563, precision: 0.8728, predictive_accuracy: 0.9002, prior_entropy: 0.4765, relative_absolute_error: 0.8548, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2829, root_relative_squared_error: 0.9333, unweighted_recall: 0.5651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8107, f_measure: 0.8731, kappa: 0.1934, kb_relative_information_score: -0.115, mean_absolute_error: 0.1574, mean_prior_absolute_error: 0.1842, weighted_recall: 0.9002, number_of_instances: 1563, precision: 0.8728, predictive_accuracy: 0.9002, prior_entropy: 0.4765, relative_absolute_error: 0.8548, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2829, root_relative_squared_error: 0.9333, unweighted_recall: 0.5651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8182, f_measure: 0.8741, kappa: 0.2116, kb_relative_information_score: -0.072, mean_absolute_error: 0.1502, mean_prior_absolute_error: 0.1842, weighted_recall: 0.8976, number_of_instances: 1563, precision: 0.8697, predictive_accuracy: 0.8976, prior_entropy: 0.4765, relative_absolute_error: 0.8154, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2811, root_relative_squared_error: 0.9272, unweighted_recall: 0.5748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7975, f_measure: 0.8489, kappa: -0.0013, kb_relative_information_score: -0.0885, mean_absolute_error: 0.1762, mean_prior_absolute_error: 0.1842, weighted_recall: 0.897, number_of_instances: 1563, precision: 0.8057, predictive_accuracy: 0.897, prior_entropy: 0.4765, relative_absolute_error: 0.9566, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2934, root_relative_squared_error: 0.968, unweighted_recall: 0.4996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7975, f_measure: 0.8489, kappa: -0.0013, kb_relative_information_score: -0.0885, mean_absolute_error: 0.1762, mean_prior_absolute_error: 0.1842, weighted_recall: 0.897, number_of_instances: 1563, precision: 0.8057, predictive_accuracy: 0.897, prior_entropy: 0.4765, relative_absolute_error: 0.9566, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2934, root_relative_squared_error: 0.968, unweighted_recall: 0.4996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8107, f_measure: 0.8731, kappa: 0.1934, kb_relative_information_score: -0.115, mean_absolute_error: 0.1574, mean_prior_absolute_error: 0.1842, weighted_recall: 0.9002, number_of_instances: 1563, precision: 0.8728, predictive_accuracy: 0.9002, prior_entropy: 0.4765, relative_absolute_error: 0.8548, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2829, root_relative_squared_error: 0.9333, unweighted_recall: 0.5651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7975, f_measure: 0.8489, kappa: -0.0013, kb_relative_information_score: -0.0885, mean_absolute_error: 0.1762, mean_prior_absolute_error: 0.1842, weighted_recall: 0.897, number_of_instances: 1563, precision: 0.8057, predictive_accuracy: 0.897, prior_entropy: 0.4765, relative_absolute_error: 0.9566, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2934, root_relative_squared_error: 0.968, unweighted_recall: 0.4996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7975, f_measure: 0.8489, kappa: -0.0013, kb_relative_information_score: -0.0885, mean_absolute_error: 0.1762, mean_prior_absolute_error: 0.1842, weighted_recall: 0.897, number_of_instances: 1563, precision: 0.8057, predictive_accuracy: 0.897, prior_entropy: 0.4765, relative_absolute_error: 0.9566, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2934, root_relative_squared_error: 0.968, unweighted_recall: 0.4996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8107, f_measure: 0.8731, kappa: 0.1934, kb_relative_information_score: -0.115, mean_absolute_error: 0.1574, mean_prior_absolute_error: 0.1842, weighted_recall: 0.9002, number_of_instances: 1563, precision: 0.8728, predictive_accuracy: 0.9002, prior_entropy: 0.4765, relative_absolute_error: 0.8548, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2829, root_relative_squared_error: 0.9333, unweighted_recall: 0.5651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8107, f_measure: 0.8731, kappa: 0.1934, kb_relative_information_score: -0.115, mean_absolute_error: 0.1574, mean_prior_absolute_error: 0.1842, weighted_recall: 0.9002, number_of_instances: 1563, precision: 0.8728, predictive_accuracy: 0.9002, prior_entropy: 0.4765, relative_absolute_error: 0.8548, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2829, root_relative_squared_error: 0.9333, unweighted_recall: 0.5651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7975, f_measure: 0.8489, kappa: -0.0013, kb_relative_information_score: -0.0885, mean_absolute_error: 0.1762, mean_prior_absolute_error: 0.1842, weighted_recall: 0.897, number_of_instances: 1563, precision: 0.8057, predictive_accuracy: 0.897, prior_entropy: 0.4765, relative_absolute_error: 0.9566, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2934, root_relative_squared_error: 0.968, unweighted_recall: 0.4996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8001, f_measure: 0.8533, kappa: 0.0403, kb_relative_information_score: -0.1231, mean_absolute_error: 0.1663, mean_prior_absolute_error: 0.1842, weighted_recall: 0.8944, number_of_instances: 1563, precision: 0.8419, predictive_accuracy: 0.8944, prior_entropy: 0.4765, relative_absolute_error: 0.9027, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2886, root_relative_squared_error: 0.9522, unweighted_recall: 0.5121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8175, f_measure: 0.8739, kappa: 0.2072, kb_relative_information_score: -0.0758, mean_absolute_error: 0.151, mean_prior_absolute_error: 0.1842, weighted_recall: 0.8983, number_of_instances: 1563, precision: 0.8703, predictive_accuracy: 0.8983, prior_entropy: 0.4765, relative_absolute_error: 0.8201, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2814, root_relative_squared_error: 0.9283, unweighted_recall: 0.5723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7975, f_measure: 0.8489, kappa: -0.0013, kb_relative_information_score: -0.0885, mean_absolute_error: 0.1762, mean_prior_absolute_error: 0.1842, weighted_recall: 0.897, number_of_instances: 1563, precision: 0.8057, predictive_accuracy: 0.897, prior_entropy: 0.4765, relative_absolute_error: 0.9566, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2934, root_relative_squared_error: 0.968, unweighted_recall: 0.4996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8107, f_measure: 0.8731, kappa: 0.1934, kb_relative_information_score: -0.115, mean_absolute_error: 0.1574, mean_prior_absolute_error: 0.1842, weighted_recall: 0.9002, number_of_instances: 1563, precision: 0.8728, predictive_accuracy: 0.9002, prior_entropy: 0.4765, relative_absolute_error: 0.8548, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2829, root_relative_squared_error: 0.9333, unweighted_recall: 0.5651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8103, f_measure: 0.8719, kappa: 0.1849, kb_relative_information_score: -0.1063, mean_absolute_error: 0.1559, mean_prior_absolute_error: 0.1842, weighted_recall: 0.8996, number_of_instances: 1563, precision: 0.8712, predictive_accuracy: 0.8996, prior_entropy: 0.4765, relative_absolute_error: 0.8466, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2831, root_relative_squared_error: 0.934, unweighted_recall: 0.562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8107, f_measure: 0.8731, kappa: 0.1934, kb_relative_information_score: -0.115, mean_absolute_error: 0.1574, mean_prior_absolute_error: 0.1842, weighted_recall: 0.9002, number_of_instances: 1563, precision: 0.8728, predictive_accuracy: 0.9002, prior_entropy: 0.4765, relative_absolute_error: 0.8548, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2829, root_relative_squared_error: 0.9333, unweighted_recall: 0.5651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8001, f_measure: 0.8533, kappa: 0.0403, kb_relative_information_score: -0.1231, mean_absolute_error: 0.1663, mean_prior_absolute_error: 0.1842, weighted_recall: 0.8944, number_of_instances: 1563, precision: 0.8419, predictive_accuracy: 0.8944, prior_entropy: 0.4765, relative_absolute_error: 0.9027, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2886, root_relative_squared_error: 0.9522, unweighted_recall: 0.5121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8107, f_measure: 0.8731, kappa: 0.1934, kb_relative_information_score: -0.115, mean_absolute_error: 0.1574, mean_prior_absolute_error: 0.1842, weighted_recall: 0.9002, number_of_instances: 1563, precision: 0.8728, predictive_accuracy: 0.9002, prior_entropy: 0.4765, relative_absolute_error: 0.8548, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2829, root_relative_squared_error: 0.9333, unweighted_recall: 0.5651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8194, f_measure: 0.8755, kappa: 0.2238, kb_relative_information_score: -0.063, mean_absolute_error: 0.1487, mean_prior_absolute_error: 0.1842, weighted_recall: 0.8976, number_of_instances: 1563, precision: 0.8707, predictive_accuracy: 0.8976, prior_entropy: 0.4765, relative_absolute_error: 0.8075, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2822, root_relative_squared_error: 0.9308, unweighted_recall: 0.5803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8122, f_measure: 0.8766, kappa: 0.2252, kb_relative_information_score: -0.0355, mean_absolute_error: 0.1451, mean_prior_absolute_error: 0.1842, weighted_recall: 0.9002, number_of_instances: 1563, precision: 0.8743, predictive_accuracy: 0.9002, prior_entropy: 0.4765, relative_absolute_error: 0.7881, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2872, root_relative_squared_error: 0.9476, unweighted_recall: 0.5789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8107, f_measure: 0.8731, kappa: 0.1934, kb_relative_information_score: -0.115, mean_absolute_error: 0.1574, mean_prior_absolute_error: 0.1842, weighted_recall: 0.9002, number_of_instances: 1563, precision: 0.8728, predictive_accuracy: 0.9002, prior_entropy: 0.4765, relative_absolute_error: 0.8548, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2829, root_relative_squared_error: 0.9333, unweighted_recall: 0.5651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8107, f_measure: 0.8731, kappa: 0.1934, kb_relative_information_score: -0.115, mean_absolute_error: 0.1574, mean_prior_absolute_error: 0.1842, weighted_recall: 0.9002, number_of_instances: 1563, precision: 0.8728, predictive_accuracy: 0.9002, prior_entropy: 0.4765, relative_absolute_error: 0.8548, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2829, root_relative_squared_error: 0.9333, unweighted_recall: 0.5651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8107, f_measure: 0.8731, kappa: 0.1934, kb_relative_information_score: -0.115, mean_absolute_error: 0.1574, mean_prior_absolute_error: 0.1842, weighted_recall: 0.9002, number_of_instances: 1563, precision: 0.8728, predictive_accuracy: 0.9002, prior_entropy: 0.4765, relative_absolute_error: 0.8548, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2829, root_relative_squared_error: 0.9333, unweighted_recall: 0.5651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8107, f_measure: 0.8731, kappa: 0.1934, kb_relative_information_score: -0.115, mean_absolute_error: 0.1574, mean_prior_absolute_error: 0.1842, weighted_recall: 0.9002, number_of_instances: 1563, precision: 0.8728, predictive_accuracy: 0.9002, prior_entropy: 0.4765, relative_absolute_error: 0.8548, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2829, root_relative_squared_error: 0.9333, unweighted_recall: 0.5651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8194, f_measure: 0.8755, kappa: 0.2238, kb_relative_information_score: -0.063, mean_absolute_error: 0.1487, mean_prior_absolute_error: 0.1842, weighted_recall: 0.8976, number_of_instances: 1563, precision: 0.8707, predictive_accuracy: 0.8976, prior_entropy: 0.4765, relative_absolute_error: 0.8075, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2822, root_relative_squared_error: 0.9308, unweighted_recall: 0.5803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8193, f_measure: 0.8737, kappa: 0.2098, kb_relative_information_score: -0.0665, mean_absolute_error: 0.1493, mean_prior_absolute_error: 0.1842, weighted_recall: 0.897, number_of_instances: 1563, precision: 0.8687, predictive_accuracy: 0.897, prior_entropy: 0.4765, relative_absolute_error: 0.8108, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2814, root_relative_squared_error: 0.9284, unweighted_recall: 0.5744,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8107, f_measure: 0.8731, kappa: 0.1934, kb_relative_information_score: -0.115, mean_absolute_error: 0.1574, mean_prior_absolute_error: 0.1842, weighted_recall: 0.9002, number_of_instances: 1563, precision: 0.8728, predictive_accuracy: 0.9002, prior_entropy: 0.4765, relative_absolute_error: 0.8548, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2829, root_relative_squared_error: 0.9333, unweighted_recall: 0.5651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8107, f_measure: 0.8731, kappa: 0.1934, kb_relative_information_score: -0.115, mean_absolute_error: 0.1574, mean_prior_absolute_error: 0.1842, weighted_recall: 0.9002, number_of_instances: 1563, precision: 0.8728, predictive_accuracy: 0.9002, prior_entropy: 0.4765, relative_absolute_error: 0.8548, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2829, root_relative_squared_error: 0.9333, unweighted_recall: 0.5651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8193, f_measure: 0.8737, kappa: 0.2098, kb_relative_information_score: -0.0665, mean_absolute_error: 0.1493, mean_prior_absolute_error: 0.1842, weighted_recall: 0.897, number_of_instances: 1563, precision: 0.8687, predictive_accuracy: 0.897, prior_entropy: 0.4765, relative_absolute_error: 0.8108, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2814, root_relative_squared_error: 0.9284, unweighted_recall: 0.5744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8107, f_measure: 0.8731, kappa: 0.1934, kb_relative_information_score: -0.115, mean_absolute_error: 0.1574, mean_prior_absolute_error: 0.1842, weighted_recall: 0.9002, number_of_instances: 1563, precision: 0.8728, predictive_accuracy: 0.9002, prior_entropy: 0.4765, relative_absolute_error: 0.8548, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2829, root_relative_squared_error: 0.9333, unweighted_recall: 0.5651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8107, f_measure: 0.8731, kappa: 0.1934, kb_relative_information_score: -0.115, mean_absolute_error: 0.1574, mean_prior_absolute_error: 0.1842, weighted_recall: 0.9002, number_of_instances: 1563, precision: 0.8728, predictive_accuracy: 0.9002, prior_entropy: 0.4765, relative_absolute_error: 0.8548, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2829, root_relative_squared_error: 0.9333, unweighted_recall: 0.5651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8107, f_measure: 0.8731, kappa: 0.1934, kb_relative_information_score: -0.115, mean_absolute_error: 0.1574, mean_prior_absolute_error: 0.1842, weighted_recall: 0.9002, number_of_instances: 1563, precision: 0.8728, predictive_accuracy: 0.9002, prior_entropy: 0.4765, relative_absolute_error: 0.8548, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2829, root_relative_squared_error: 0.9333, unweighted_recall: 0.5651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7975, f_measure: 0.8489, kappa: -0.0013, kb_relative_information_score: -0.0885, mean_absolute_error: 0.1762, mean_prior_absolute_error: 0.1842, weighted_recall: 0.897, number_of_instances: 1563, precision: 0.8057, predictive_accuracy: 0.897, prior_entropy: 0.4765, relative_absolute_error: 0.9566, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2934, root_relative_squared_error: 0.968, unweighted_recall: 0.4996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8182, f_measure: 0.8741, kappa: 0.2116, kb_relative_information_score: -0.072, mean_absolute_error: 0.1502, mean_prior_absolute_error: 0.1842, weighted_recall: 0.8976, number_of_instances: 1563, precision: 0.8697, predictive_accuracy: 0.8976, prior_entropy: 0.4765, relative_absolute_error: 0.8154, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2811, root_relative_squared_error: 0.9272, unweighted_recall: 0.5748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8107, f_measure: 0.8731, kappa: 0.1934, kb_relative_information_score: -0.115, mean_absolute_error: 0.1574, mean_prior_absolute_error: 0.1842, weighted_recall: 0.9002, number_of_instances: 1563, precision: 0.8728, predictive_accuracy: 0.9002, prior_entropy: 0.4765, relative_absolute_error: 0.8548, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2829, root_relative_squared_error: 0.9333, unweighted_recall: 0.5651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8107, f_measure: 0.8731, kappa: 0.1934, kb_relative_information_score: -0.115, mean_absolute_error: 0.1574, mean_prior_absolute_error: 0.1842, weighted_recall: 0.9002, number_of_instances: 1563, precision: 0.8728, predictive_accuracy: 0.9002, prior_entropy: 0.4765, relative_absolute_error: 0.8548, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2829, root_relative_squared_error: 0.9333, unweighted_recall: 0.5651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7975, f_measure: 0.8489, kappa: -0.0013, kb_relative_information_score: -0.0885, mean_absolute_error: 0.1762, mean_prior_absolute_error: 0.1842, weighted_recall: 0.897, number_of_instances: 1563, precision: 0.8057, predictive_accuracy: 0.897, prior_entropy: 0.4765, relative_absolute_error: 0.9566, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2934, root_relative_squared_error: 0.968, unweighted_recall: 0.4996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8107, f_measure: 0.8731, kappa: 0.1934, kb_relative_information_score: -0.115, mean_absolute_error: 0.1574, mean_prior_absolute_error: 0.1842, weighted_recall: 0.9002, number_of_instances: 1563, precision: 0.8728, predictive_accuracy: 0.9002, prior_entropy: 0.4765, relative_absolute_error: 0.8548, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2829, root_relative_squared_error: 0.9333, unweighted_recall: 0.5651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8175, f_measure: 0.8739, kappa: 0.2072, kb_relative_information_score: -0.0758, mean_absolute_error: 0.151, mean_prior_absolute_error: 0.1842, weighted_recall: 0.8983, number_of_instances: 1563, precision: 0.8703, predictive_accuracy: 0.8983, prior_entropy: 0.4765, relative_absolute_error: 0.8201, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2814, root_relative_squared_error: 0.9283, unweighted_recall: 0.5723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8194, f_measure: 0.8755, kappa: 0.2238, kb_relative_information_score: -0.063, mean_absolute_error: 0.1487, mean_prior_absolute_error: 0.1842, weighted_recall: 0.8976, number_of_instances: 1563, precision: 0.8707, predictive_accuracy: 0.8976, prior_entropy: 0.4765, relative_absolute_error: 0.8075, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2822, root_relative_squared_error: 0.9308, unweighted_recall: 0.5803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8107, f_measure: 0.8731, kappa: 0.1934, kb_relative_information_score: -0.115, mean_absolute_error: 0.1574, mean_prior_absolute_error: 0.1842, weighted_recall: 0.9002, number_of_instances: 1563, precision: 0.8728, predictive_accuracy: 0.9002, prior_entropy: 0.4765, relative_absolute_error: 0.8548, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2829, root_relative_squared_error: 0.9333, unweighted_recall: 0.5651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8107, f_measure: 0.8731, kappa: 0.1934, kb_relative_information_score: -0.115, mean_absolute_error: 0.1574, mean_prior_absolute_error: 0.1842, weighted_recall: 0.9002, number_of_instances: 1563, precision: 0.8728, predictive_accuracy: 0.9002, prior_entropy: 0.4765, relative_absolute_error: 0.8548, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2829, root_relative_squared_error: 0.9333, unweighted_recall: 0.5651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7975, f_measure: 0.8489, kappa: -0.0013, kb_relative_information_score: -0.0885, mean_absolute_error: 0.1762, mean_prior_absolute_error: 0.1842, weighted_recall: 0.897, number_of_instances: 1563, precision: 0.8057, predictive_accuracy: 0.897, prior_entropy: 0.4765, relative_absolute_error: 0.9566, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2934, root_relative_squared_error: 0.968, unweighted_recall: 0.4996,

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