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: 0.8535, f_measure: 0.8828, kappa: 0.2612, kb_relative_information_score: -0.1163, mean_absolute_error: 0.147, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8859, predictive_accuracy: 0.906, prior_entropy: 0.4765, recall: 0.906, relative_absolute_error: 0.7979, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2694, root_relative_squared_error: 0.8887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, kb_relative_information_score: 0.0014, mean_absolute_error: 0.1838, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, predictive_accuracy: 0.8976, prior_entropy: 0.4765, recall: 0.8976, relative_absolute_error: 0.9978, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3031, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6052, f_measure: 0.8585, kappa: 0.1608, kb_relative_information_score: -0.0995, mean_absolute_error: 0.1587, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.848, predictive_accuracy: 0.8727, prior_entropy: 0.4765, recall: 0.8727, relative_absolute_error: 0.8615, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3379, root_relative_squared_error: 1.1147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7977, f_measure: 0.8649, kappa: 0.1607, kb_relative_information_score: -0.1149, mean_absolute_error: 0.1551, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8544, predictive_accuracy: 0.888, prior_entropy: 0.4765, recall: 0.888, relative_absolute_error: 0.8422, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2935, root_relative_squared_error: 0.9683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5364, f_measure: 0.8657, kappa: 0.1217, kb_relative_information_score: 0.303, mean_absolute_error: 0.0966, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8937, predictive_accuracy: 0.9034, prior_entropy: 0.4765, recall: 0.9034, relative_absolute_error: 0.5245, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3108, root_relative_squared_error: 1.0254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2614, mean_absolute_error: 0.1024, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, predictive_accuracy: 0.8976, prior_entropy: 0.4765, recall: 0.8976, relative_absolute_error: 0.5558, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3199, root_relative_squared_error: 1.0555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5368, f_measure: 0.8661, kappa: 0.1235, kb_relative_information_score: 0.3076, mean_absolute_error: 0.096, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8996, predictive_accuracy: 0.904, prior_entropy: 0.4765, recall: 0.904, relative_absolute_error: 0.5211, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3098, root_relative_squared_error: 1.022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4954, f_measure: 0.845, kappa: -0.0156, kb_relative_information_score: 0.2014, mean_absolute_error: 0.1107, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.805, predictive_accuracy: 0.8893, prior_entropy: 0.4765, recall: 0.8893, relative_absolute_error: 0.601, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3327, root_relative_squared_error: 1.0975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2614, mean_absolute_error: 0.1024, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, predictive_accuracy: 0.8976, prior_entropy: 0.4765, recall: 0.8976, relative_absolute_error: 0.5558, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3199, root_relative_squared_error: 1.0555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2614, mean_absolute_error: 0.1024, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, predictive_accuracy: 0.8976, prior_entropy: 0.4765, recall: 0.8976, relative_absolute_error: 0.5558, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3199, root_relative_squared_error: 1.0555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2614, mean_absolute_error: 0.1024, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, predictive_accuracy: 0.8976, prior_entropy: 0.4765, recall: 0.8976, relative_absolute_error: 0.5558, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3199, root_relative_squared_error: 1.0555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2614, mean_absolute_error: 0.1024, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, predictive_accuracy: 0.8976, prior_entropy: 0.4765, recall: 0.8976, relative_absolute_error: 0.5558, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3199, root_relative_squared_error: 1.0555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4607, f_measure: 0.802, kappa: -0.0787, kb_relative_information_score: -0.4264, mean_absolute_error: 0.1977, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8018, predictive_accuracy: 0.8023, prior_entropy: 0.4765, recall: 0.8023, relative_absolute_error: 1.0734, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.4446, root_relative_squared_error: 1.4668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2614, mean_absolute_error: 0.1024, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, predictive_accuracy: 0.8976, prior_entropy: 0.4765, recall: 0.8976, relative_absolute_error: 0.5558, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3199, root_relative_squared_error: 1.0555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5368, f_measure: 0.8661, kappa: 0.1235, kb_relative_information_score: 0.3076, mean_absolute_error: 0.096, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8996, predictive_accuracy: 0.904, prior_entropy: 0.4765, recall: 0.904, relative_absolute_error: 0.5211, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3098, root_relative_squared_error: 1.022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2614, mean_absolute_error: 0.1024, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, predictive_accuracy: 0.8976, prior_entropy: 0.4765, recall: 0.8976, relative_absolute_error: 0.5558, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3199, root_relative_squared_error: 1.0555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2614, mean_absolute_error: 0.1024, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, predictive_accuracy: 0.8976, prior_entropy: 0.4765, recall: 0.8976, relative_absolute_error: 0.5558, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3199, root_relative_squared_error: 1.0555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2614, mean_absolute_error: 0.1024, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, predictive_accuracy: 0.8976, prior_entropy: 0.4765, recall: 0.8976, relative_absolute_error: 0.5558, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3199, root_relative_squared_error: 1.0555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4825, f_measure: 0.8333, kappa: -0.0504, kb_relative_information_score: 0.0352, mean_absolute_error: 0.1337, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8028, predictive_accuracy: 0.8663, prior_entropy: 0.4765, recall: 0.8663, relative_absolute_error: 0.726, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3657, root_relative_squared_error: 1.2063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5368, f_measure: 0.8661, kappa: 0.1235, kb_relative_information_score: 0.3076, mean_absolute_error: 0.096, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8996, predictive_accuracy: 0.904, prior_entropy: 0.4765, recall: 0.904, relative_absolute_error: 0.5211, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3098, root_relative_squared_error: 1.022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4657, f_measure: 0.8071, kappa: -0.0715, kb_relative_information_score: -0.3618, mean_absolute_error: 0.1887, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.803, predictive_accuracy: 0.8113, prior_entropy: 0.4765, recall: 0.8113, relative_absolute_error: 1.0248, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.4344, root_relative_squared_error: 1.4332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4541, f_measure: 0.7998, kappa: -0.0922, kb_relative_information_score: -0.4402, mean_absolute_error: 0.1996, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.7993, predictive_accuracy: 0.8004, prior_entropy: 0.4765, recall: 0.8004, relative_absolute_error: 1.0838, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.4468, root_relative_squared_error: 1.4739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4538, f_measure: 0.7995, kappa: -0.0927, kb_relative_information_score: -0.4449, mean_absolute_error: 0.2003, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.7992, predictive_accuracy: 0.7997, prior_entropy: 0.4765, recall: 0.7997, relative_absolute_error: 1.0873, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.4475, root_relative_squared_error: 1.4763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4538, f_measure: 0.7995, kappa: -0.0927, kb_relative_information_score: -0.4449, mean_absolute_error: 0.2003, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.7992, predictive_accuracy: 0.7997, prior_entropy: 0.4765, recall: 0.7997, relative_absolute_error: 1.0873, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.4475, root_relative_squared_error: 1.4763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4538, f_measure: 0.7995, kappa: -0.0927, kb_relative_information_score: -0.4449, mean_absolute_error: 0.2003, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.7992, predictive_accuracy: 0.7997, prior_entropy: 0.4765, recall: 0.7997, relative_absolute_error: 1.0873, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.4475, root_relative_squared_error: 1.4763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4534, f_measure: 0.7991, kappa: -0.0932, kb_relative_information_score: -0.4495, mean_absolute_error: 0.2009, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.7991, predictive_accuracy: 0.7991, prior_entropy: 0.4765, recall: 0.7991, relative_absolute_error: 1.0908, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.4482, root_relative_squared_error: 1.4786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5493, f_measure: 0.8716, kappa: 0.1624, kb_relative_information_score: 0.326, mean_absolute_error: 0.0934, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.905, predictive_accuracy: 0.9066, prior_entropy: 0.4765, recall: 0.9066, relative_absolute_error: 0.5072, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3056, root_relative_squared_error: 1.0082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5471, f_measure: 0.8691, kappa: 0.1512, kb_relative_information_score: 0.2983, mean_absolute_error: 0.0972, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8819, predictive_accuracy: 0.9028, prior_entropy: 0.4765, recall: 0.9028, relative_absolute_error: 0.528, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3118, root_relative_squared_error: 1.0288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5471, f_measure: 0.8691, kappa: 0.1512, kb_relative_information_score: 0.2983, mean_absolute_error: 0.0972, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8819, predictive_accuracy: 0.9028, prior_entropy: 0.4765, recall: 0.9028, relative_absolute_error: 0.528, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3118, root_relative_squared_error: 1.0288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4607, f_measure: 0.802, kappa: -0.0787, kb_relative_information_score: -0.4264, mean_absolute_error: 0.1977, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8018, predictive_accuracy: 0.8023, prior_entropy: 0.4765, recall: 0.8023, relative_absolute_error: 1.0734, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.4446, root_relative_squared_error: 1.4668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2614, mean_absolute_error: 0.1024, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, predictive_accuracy: 0.8976, prior_entropy: 0.4765, recall: 0.8976, relative_absolute_error: 0.5558, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3199, root_relative_squared_error: 1.0555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2614, mean_absolute_error: 0.1024, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, predictive_accuracy: 0.8976, prior_entropy: 0.4765, recall: 0.8976, relative_absolute_error: 0.5558, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3199, root_relative_squared_error: 1.0555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2614, mean_absolute_error: 0.1024, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, predictive_accuracy: 0.8976, prior_entropy: 0.4765, recall: 0.8976, relative_absolute_error: 0.5558, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3199, root_relative_squared_error: 1.0555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5368, f_measure: 0.8661, kappa: 0.1235, kb_relative_information_score: 0.3076, mean_absolute_error: 0.096, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8996, predictive_accuracy: 0.904, prior_entropy: 0.4765, recall: 0.904, relative_absolute_error: 0.5211, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3098, root_relative_squared_error: 1.022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5471, f_measure: 0.8691, kappa: 0.1512, kb_relative_information_score: 0.2983, mean_absolute_error: 0.0972, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8819, predictive_accuracy: 0.9028, prior_entropy: 0.4765, recall: 0.9028, relative_absolute_error: 0.528, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3118, root_relative_squared_error: 1.0288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4607, f_measure: 0.802, kappa: -0.0787, kb_relative_information_score: -0.4264, mean_absolute_error: 0.1977, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8018, predictive_accuracy: 0.8023, prior_entropy: 0.4765, recall: 0.8023, relative_absolute_error: 1.0734, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.4446, root_relative_squared_error: 1.4668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5368, f_measure: 0.8661, kappa: 0.1235, kb_relative_information_score: 0.3076, mean_absolute_error: 0.096, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8996, predictive_accuracy: 0.904, prior_entropy: 0.4765, recall: 0.904, relative_absolute_error: 0.5211, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3098, root_relative_squared_error: 1.022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4527, f_measure: 0.7984, kappa: -0.0941, kb_relative_information_score: -0.4587, mean_absolute_error: 0.2022, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.7989, predictive_accuracy: 0.7978, prior_entropy: 0.4765, recall: 0.7978, relative_absolute_error: 1.0977, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.4496, root_relative_squared_error: 1.4833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2614, mean_absolute_error: 0.1024, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, predictive_accuracy: 0.8976, prior_entropy: 0.4765, recall: 0.8976, relative_absolute_error: 0.5558, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3199, root_relative_squared_error: 1.0555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4538, f_measure: 0.7995, kappa: -0.0927, kb_relative_information_score: -0.4449, mean_absolute_error: 0.2003, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.7992, predictive_accuracy: 0.7997, prior_entropy: 0.4765, recall: 0.7997, relative_absolute_error: 1.0873, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.4475, root_relative_squared_error: 1.4763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5476, f_measure: 0.8497, kappa: 0.1137, kb_relative_information_score: 0.0168, mean_absolute_error: 0.1363, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8385, predictive_accuracy: 0.8637, prior_entropy: 0.4765, recall: 0.8637, relative_absolute_error: 0.7399, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3692, root_relative_squared_error: 1.2178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2614, mean_absolute_error: 0.1024, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, predictive_accuracy: 0.8976, prior_entropy: 0.4765, recall: 0.8976, relative_absolute_error: 0.5558, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3199, root_relative_squared_error: 1.0555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4657, f_measure: 0.8071, kappa: -0.0715, kb_relative_information_score: -0.3618, mean_absolute_error: 0.1887, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.803, predictive_accuracy: 0.8113, prior_entropy: 0.4765, recall: 0.8113, relative_absolute_error: 1.0248, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.4344, root_relative_squared_error: 1.4332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2614, mean_absolute_error: 0.1024, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, predictive_accuracy: 0.8976, prior_entropy: 0.4765, recall: 0.8976, relative_absolute_error: 0.5558, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3199, root_relative_squared_error: 1.0555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2614, mean_absolute_error: 0.1024, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, predictive_accuracy: 0.8976, prior_entropy: 0.4765, recall: 0.8976, relative_absolute_error: 0.5558, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3199, root_relative_squared_error: 1.0555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5266, f_measure: 0.8591, kappa: 0.0858, kb_relative_information_score: 0.2476, mean_absolute_error: 0.1043, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8547, predictive_accuracy: 0.8957, prior_entropy: 0.4765, recall: 0.8957, relative_absolute_error: 0.5662, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3229, root_relative_squared_error: 1.0653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5466, f_measure: 0.8637, kappa: 0.1368, kb_relative_information_score: 0.2199, mean_absolute_error: 0.1081, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8546, predictive_accuracy: 0.8919, prior_entropy: 0.4765, recall: 0.8919, relative_absolute_error: 0.5871, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3288, root_relative_squared_error: 1.0848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5493, f_measure: 0.8716, kappa: 0.1624, kb_relative_information_score: 0.326, mean_absolute_error: 0.0934, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.905, predictive_accuracy: 0.9066, prior_entropy: 0.4765, recall: 0.9066, relative_absolute_error: 0.5072, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3056, root_relative_squared_error: 1.0082,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4961, f_measure: 0.8457, kappa: -0.0133, kb_relative_information_score: 0.2106, mean_absolute_error: 0.1094, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8051, predictive_accuracy: 0.8906, prior_entropy: 0.4765, recall: 0.8906, relative_absolute_error: 0.594, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3308, root_relative_squared_error: 1.0912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2614, mean_absolute_error: 0.1024, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, predictive_accuracy: 0.8976, prior_entropy: 0.4765, recall: 0.8976, relative_absolute_error: 0.5558, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3199, root_relative_squared_error: 1.0555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5493, f_measure: 0.8716, kappa: 0.1624, kb_relative_information_score: 0.326, mean_absolute_error: 0.0934, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.905, predictive_accuracy: 0.9066, prior_entropy: 0.4765, recall: 0.9066, relative_absolute_error: 0.5072, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3056, root_relative_squared_error: 1.0082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4607, f_measure: 0.802, kappa: -0.0787, kb_relative_information_score: -0.4264, mean_absolute_error: 0.1977, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8018, predictive_accuracy: 0.8023, prior_entropy: 0.4765, recall: 0.8023, relative_absolute_error: 1.0734, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.4446, root_relative_squared_error: 1.4668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5493, f_measure: 0.8716, kappa: 0.1624, kb_relative_information_score: 0.326, mean_absolute_error: 0.0934, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.905, predictive_accuracy: 0.9066, prior_entropy: 0.4765, recall: 0.9066, relative_absolute_error: 0.5072, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3056, root_relative_squared_error: 1.0082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5493, f_measure: 0.8716, kappa: 0.1624, kb_relative_information_score: 0.326, mean_absolute_error: 0.0934, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.905, predictive_accuracy: 0.9066, prior_entropy: 0.4765, recall: 0.9066, relative_absolute_error: 0.5072, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3056, root_relative_squared_error: 1.0082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4757, f_measure: 0.8251, kappa: -0.0629, kb_relative_information_score: -0.0894, mean_absolute_error: 0.151, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8028, predictive_accuracy: 0.849, prior_entropy: 0.4765, recall: 0.849, relative_absolute_error: 0.8198, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3886, root_relative_squared_error: 1.2819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4517, f_measure: 0.7996, kappa: -0.0979, kb_relative_information_score: -0.4356, mean_absolute_error: 0.199, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.7982, predictive_accuracy: 0.801, prior_entropy: 0.4765, recall: 0.801, relative_absolute_error: 1.0803, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.4461, root_relative_squared_error: 1.4715,

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

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From your own software

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

OpenML APIs