Task
Supervised Classification on banknote-authentication

Supervised Classification on banknote-authentication

Task 10093 Supervised Classification banknote-authentication 91415 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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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9993, kappa: 0.9985, kb_relative_information_score: 0.9852, mean_absolute_error: 0.0089, mean_prior_absolute_error: 0.4939, weighted_recall: 0.9993, number_of_instances: 1372, precision: 0.9993, predictive_accuracy: 0.9993, prior_entropy: 0.9911, relative_absolute_error: 0.018, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0441, root_relative_squared_error: 0.0888, unweighted_recall: 0.9992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9993, kappa: 0.9985, kb_relative_information_score: 0.9966, mean_absolute_error: 0.0021, mean_prior_absolute_error: 0.4939, weighted_recall: 0.9993, number_of_instances: 1372, precision: 0.9993, predictive_accuracy: 0.9993, prior_entropy: 0.9911, relative_absolute_error: 0.0043, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0166, root_relative_squared_error: 0.0334, unweighted_recall: 0.9993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 0.9952, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.4939, weighted_recall: 1, number_of_instances: 1372, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9911, relative_absolute_error: 0.0063, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0165, root_relative_squared_error: 0.0332, unweighted_recall: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 0.9952, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.4939, weighted_recall: 1, number_of_instances: 1372, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9911, relative_absolute_error: 0.0064, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0166, root_relative_squared_error: 0.0333, unweighted_recall: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9869, kappa: 0.9735, kb_relative_information_score: 0.9624, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.4939, weighted_recall: 0.9869, number_of_instances: 1372, precision: 0.987, predictive_accuracy: 0.9869, prior_entropy: 0.9911, relative_absolute_error: 0.04, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0941, root_relative_squared_error: 0.1893, unweighted_recall: 0.9874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9956, kappa: 0.9911, kb_relative_information_score: 0.9819, mean_absolute_error: 0.0104, mean_prior_absolute_error: 0.4939, weighted_recall: 0.9956, number_of_instances: 1372, precision: 0.9956, predictive_accuracy: 0.9956, prior_entropy: 0.9911, relative_absolute_error: 0.0211, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0535, root_relative_squared_error: 0.1077, unweighted_recall: 0.9957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 0.9698, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.4939, weighted_recall: 0.9905, number_of_instances: 1372, precision: 0.9906, predictive_accuracy: 0.9905, prior_entropy: 0.9911, relative_absolute_error: 0.0331, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0816, root_relative_squared_error: 0.1641, unweighted_recall: 0.991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 0.9901, mean_absolute_error: 0.0063, mean_prior_absolute_error: 0.4939, weighted_recall: 1, number_of_instances: 1372, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9911, relative_absolute_error: 0.0128, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0286, root_relative_squared_error: 0.0575, unweighted_recall: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9869, kappa: 0.9735, kb_relative_information_score: 0.963, mean_absolute_error: 0.0195, mean_prior_absolute_error: 0.4939, weighted_recall: 0.9869, number_of_instances: 1372, precision: 0.987, predictive_accuracy: 0.9869, prior_entropy: 0.9911, relative_absolute_error: 0.0395, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.092, root_relative_squared_error: 0.1851, unweighted_recall: 0.9874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9862, kappa: 0.972, kb_relative_information_score: 0.962, mean_absolute_error: 0.02, mean_prior_absolute_error: 0.4939, weighted_recall: 0.9862, number_of_instances: 1372, precision: 0.9863, predictive_accuracy: 0.9862, prior_entropy: 0.9911, relative_absolute_error: 0.0404, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0937, root_relative_squared_error: 0.1886, unweighted_recall: 0.9869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.945, f_measure: 0.8641, kappa: 0.7277, kb_relative_information_score: 0.6319, mean_absolute_error: 0.191, mean_prior_absolute_error: 0.4939, weighted_recall: 0.8637, number_of_instances: 1372, precision: 0.8709, predictive_accuracy: 0.8637, prior_entropy: 0.9911, relative_absolute_error: 0.3867, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3214, root_relative_squared_error: 0.6468, unweighted_recall: 0.8688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9876, kappa: 0.9749, kb_relative_information_score: 0.9749, mean_absolute_error: 0.0127, mean_prior_absolute_error: 0.4939, weighted_recall: 0.9876, number_of_instances: 1372, precision: 0.9876, predictive_accuracy: 0.9876, prior_entropy: 0.9911, relative_absolute_error: 0.0258, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0871, root_relative_squared_error: 0.1752, unweighted_recall: 0.9875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9898, kappa: 0.9794, kb_relative_information_score: 0.9643, mean_absolute_error: 0.0192, mean_prior_absolute_error: 0.4939, weighted_recall: 0.9898, number_of_instances: 1372, precision: 0.9898, predictive_accuracy: 0.9898, prior_entropy: 0.9911, relative_absolute_error: 0.039, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0879, root_relative_squared_error: 0.1769, unweighted_recall: 0.9902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9883, kappa: 0.9764, kb_relative_information_score: 0.9671, mean_absolute_error: 0.0176, mean_prior_absolute_error: 0.4939, weighted_recall: 0.9883, number_of_instances: 1372, precision: 0.9884, predictive_accuracy: 0.9883, prior_entropy: 0.9911, relative_absolute_error: 0.0356, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0864, root_relative_squared_error: 0.1738, unweighted_recall: 0.9885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9876, kappa: 0.9749, kb_relative_information_score: 0.9742, mean_absolute_error: 0.0132, mean_prior_absolute_error: 0.4939, weighted_recall: 0.9876, number_of_instances: 1372, precision: 0.9876, predictive_accuracy: 0.9876, prior_entropy: 0.9911, relative_absolute_error: 0.0267, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0858, root_relative_squared_error: 0.1728, unweighted_recall: 0.9875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.976, kappa: 0.9515, kb_relative_information_score: 0.8395, mean_absolute_error: 0.095, mean_prior_absolute_error: 0.4939, weighted_recall: 0.9759, number_of_instances: 1372, precision: 0.9766, predictive_accuracy: 0.9759, prior_entropy: 0.9911, relative_absolute_error: 0.1925, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1495, root_relative_squared_error: 0.3008, unweighted_recall: 0.9775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9876, kappa: 0.9749, kb_relative_information_score: 0.9737, mean_absolute_error: 0.0134, mean_prior_absolute_error: 0.4939, weighted_recall: 0.9876, number_of_instances: 1372, precision: 0.9876, predictive_accuracy: 0.9876, prior_entropy: 0.9911, relative_absolute_error: 0.0271, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0873, root_relative_squared_error: 0.1757, unweighted_recall: 0.9877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9876, kappa: 0.9749, kb_relative_information_score: 0.972, mean_absolute_error: 0.0146, mean_prior_absolute_error: 0.4939, weighted_recall: 0.9876, number_of_instances: 1372, precision: 0.9876, predictive_accuracy: 0.9876, prior_entropy: 0.9911, relative_absolute_error: 0.0295, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0848, root_relative_squared_error: 0.1706, unweighted_recall: 0.9877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9811, kappa: 0.9618, kb_relative_information_score: 0.9328, mean_absolute_error: 0.0383, mean_prior_absolute_error: 0.4939, weighted_recall: 0.981, number_of_instances: 1372, precision: 0.9815, predictive_accuracy: 0.981, prior_entropy: 0.9911, relative_absolute_error: 0.0775, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1064, root_relative_squared_error: 0.2141, unweighted_recall: 0.9824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9898, kappa: 0.9794, kb_relative_information_score: 0.9622, mean_absolute_error: 0.0206, mean_prior_absolute_error: 0.4939, weighted_recall: 0.9898, number_of_instances: 1372, precision: 0.9898, predictive_accuracy: 0.9898, prior_entropy: 0.9911, relative_absolute_error: 0.0416, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0892, root_relative_squared_error: 0.1794, unweighted_recall: 0.9902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9876, kappa: 0.9749, kb_relative_information_score: 0.9749, mean_absolute_error: 0.0127, mean_prior_absolute_error: 0.4939, weighted_recall: 0.9876, number_of_instances: 1372, precision: 0.9876, predictive_accuracy: 0.9876, prior_entropy: 0.9911, relative_absolute_error: 0.0258, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0871, root_relative_squared_error: 0.1752, unweighted_recall: 0.9875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9898, kappa: 0.9794, kb_relative_information_score: 0.9622, mean_absolute_error: 0.0206, mean_prior_absolute_error: 0.4939, weighted_recall: 0.9898, number_of_instances: 1372, precision: 0.9898, predictive_accuracy: 0.9898, prior_entropy: 0.9911, relative_absolute_error: 0.0416, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0892, root_relative_squared_error: 0.1794, unweighted_recall: 0.9902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9811, kappa: 0.9618, kb_relative_information_score: 0.9328, mean_absolute_error: 0.0383, mean_prior_absolute_error: 0.4939, weighted_recall: 0.981, number_of_instances: 1372, precision: 0.9815, predictive_accuracy: 0.981, prior_entropy: 0.9911, relative_absolute_error: 0.0775, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1064, root_relative_squared_error: 0.2141, unweighted_recall: 0.9824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9467, kappa: 0.8918, kb_relative_information_score: 0.5674, mean_absolute_error: 0.2446, mean_prior_absolute_error: 0.4939, weighted_recall: 0.9468, number_of_instances: 1372, precision: 0.9472, predictive_accuracy: 0.9468, prior_entropy: 0.9911, relative_absolute_error: 0.4953, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2771, root_relative_squared_error: 0.5576, unweighted_recall: 0.9441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9511, f_measure: 0.8295, kappa: 0.6568, kb_relative_information_score: 0.2032, mean_absolute_error: 0.4159, mean_prior_absolute_error: 0.4939, weighted_recall: 0.836, number_of_instances: 1372, precision: 0.8634, predictive_accuracy: 0.836, prior_entropy: 0.9911, relative_absolute_error: 0.8421, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4238, root_relative_squared_error: 0.8528, unweighted_recall: 0.8177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9811, kappa: 0.9618, kb_relative_information_score: 0.932, mean_absolute_error: 0.0387, mean_prior_absolute_error: 0.4939, weighted_recall: 0.981, number_of_instances: 1372, precision: 0.9815, predictive_accuracy: 0.981, prior_entropy: 0.9911, relative_absolute_error: 0.0784, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1075, root_relative_squared_error: 0.2163, unweighted_recall: 0.9824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9876, kappa: 0.9749, kb_relative_information_score: 0.9749, mean_absolute_error: 0.0127, mean_prior_absolute_error: 0.4939, weighted_recall: 0.9876, number_of_instances: 1372, precision: 0.9876, predictive_accuracy: 0.9876, prior_entropy: 0.9911, relative_absolute_error: 0.0258, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0871, root_relative_squared_error: 0.1752, unweighted_recall: 0.9875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9898, kappa: 0.9794, kb_relative_information_score: 0.9643, mean_absolute_error: 0.0192, mean_prior_absolute_error: 0.4939, weighted_recall: 0.9898, number_of_instances: 1372, precision: 0.9898, predictive_accuracy: 0.9898, prior_entropy: 0.9911, relative_absolute_error: 0.039, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0879, root_relative_squared_error: 0.1769, unweighted_recall: 0.9902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9883, kappa: 0.9764, kb_relative_information_score: 0.9671, mean_absolute_error: 0.0176, mean_prior_absolute_error: 0.4939, weighted_recall: 0.9883, number_of_instances: 1372, precision: 0.9884, predictive_accuracy: 0.9883, prior_entropy: 0.9911, relative_absolute_error: 0.0356, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0864, root_relative_squared_error: 0.1738, unweighted_recall: 0.9885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9876, kappa: 0.9749, kb_relative_information_score: 0.9742, mean_absolute_error: 0.0132, mean_prior_absolute_error: 0.4939, weighted_recall: 0.9876, number_of_instances: 1372, precision: 0.9876, predictive_accuracy: 0.9876, prior_entropy: 0.9911, relative_absolute_error: 0.0267, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0858, root_relative_squared_error: 0.1728, unweighted_recall: 0.9875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.941, kappa: 0.8806, kb_relative_information_score: 0.5645, mean_absolute_error: 0.2464, mean_prior_absolute_error: 0.4939, weighted_recall: 0.941, number_of_instances: 1372, precision: 0.941, predictive_accuracy: 0.941, prior_entropy: 0.9911, relative_absolute_error: 0.4989, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2778, root_relative_squared_error: 0.5591, unweighted_recall: 0.9406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.976, kappa: 0.9515, kb_relative_information_score: 0.8395, mean_absolute_error: 0.095, mean_prior_absolute_error: 0.4939, weighted_recall: 0.9759, number_of_instances: 1372, precision: 0.9766, predictive_accuracy: 0.9759, prior_entropy: 0.9911, relative_absolute_error: 0.1925, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1495, root_relative_squared_error: 0.3008, unweighted_recall: 0.9775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9782, kappa: 0.9559, kb_relative_information_score: 0.8696, mean_absolute_error: 0.0769, mean_prior_absolute_error: 0.4939, weighted_recall: 0.9781, number_of_instances: 1372, precision: 0.9788, predictive_accuracy: 0.9781, prior_entropy: 0.9911, relative_absolute_error: 0.1556, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1362, root_relative_squared_error: 0.274, unweighted_recall: 0.9798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9876, kappa: 0.9749, kb_relative_information_score: 0.9745, mean_absolute_error: 0.013, mean_prior_absolute_error: 0.4939, weighted_recall: 0.9876, number_of_instances: 1372, precision: 0.9876, predictive_accuracy: 0.9876, prior_entropy: 0.9911, relative_absolute_error: 0.0263, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0863, root_relative_squared_error: 0.1737, unweighted_recall: 0.9875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9811, kappa: 0.9618, kb_relative_information_score: 0.9325, mean_absolute_error: 0.0384, mean_prior_absolute_error: 0.4939, weighted_recall: 0.981, number_of_instances: 1372, precision: 0.9815, predictive_accuracy: 0.981, prior_entropy: 0.9911, relative_absolute_error: 0.0778, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1072, root_relative_squared_error: 0.2158, unweighted_recall: 0.9824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9876, kappa: 0.9749, kb_relative_information_score: 0.9737, mean_absolute_error: 0.0134, mean_prior_absolute_error: 0.4939, weighted_recall: 0.9876, number_of_instances: 1372, precision: 0.9876, predictive_accuracy: 0.9876, prior_entropy: 0.9911, relative_absolute_error: 0.0271, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0873, root_relative_squared_error: 0.1757, unweighted_recall: 0.9877,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9876, kappa: 0.9749, kb_relative_information_score: 0.9749, mean_absolute_error: 0.0127, mean_prior_absolute_error: 0.4939, weighted_recall: 0.9876, number_of_instances: 1372, precision: 0.9876, predictive_accuracy: 0.9876, prior_entropy: 0.9911, relative_absolute_error: 0.0258, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0871, root_relative_squared_error: 0.1752, unweighted_recall: 0.9875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9811, kappa: 0.9618, kb_relative_information_score: 0.9328, mean_absolute_error: 0.0383, mean_prior_absolute_error: 0.4939, weighted_recall: 0.981, number_of_instances: 1372, precision: 0.9815, predictive_accuracy: 0.981, prior_entropy: 0.9911, relative_absolute_error: 0.0775, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1064, root_relative_squared_error: 0.2141, unweighted_recall: 0.9824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9511, f_measure: 0.8295, kappa: 0.6568, kb_relative_information_score: 0.2032, mean_absolute_error: 0.4159, mean_prior_absolute_error: 0.4939, weighted_recall: 0.836, number_of_instances: 1372, precision: 0.8634, predictive_accuracy: 0.836, prior_entropy: 0.9911, relative_absolute_error: 0.8421, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4238, root_relative_squared_error: 0.8528, unweighted_recall: 0.8177,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9811, kappa: 0.9618, kb_relative_information_score: 0.932, mean_absolute_error: 0.0387, mean_prior_absolute_error: 0.4939, weighted_recall: 0.981, number_of_instances: 1372, precision: 0.9815, predictive_accuracy: 0.981, prior_entropy: 0.9911, relative_absolute_error: 0.0784, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1075, root_relative_squared_error: 0.2163, unweighted_recall: 0.9824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9876, kappa: 0.9749, kb_relative_information_score: 0.972, mean_absolute_error: 0.0146, mean_prior_absolute_error: 0.4939, weighted_recall: 0.9876, number_of_instances: 1372, precision: 0.9876, predictive_accuracy: 0.9876, prior_entropy: 0.9911, relative_absolute_error: 0.0295, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0848, root_relative_squared_error: 0.1706, unweighted_recall: 0.9877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9811, kappa: 0.9618, kb_relative_information_score: 0.932, mean_absolute_error: 0.0387, mean_prior_absolute_error: 0.4939, weighted_recall: 0.981, number_of_instances: 1372, precision: 0.9815, predictive_accuracy: 0.981, prior_entropy: 0.9911, relative_absolute_error: 0.0784, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1075, root_relative_squared_error: 0.2163, unweighted_recall: 0.9824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9811, kappa: 0.9618, kb_relative_information_score: 0.932, mean_absolute_error: 0.0387, mean_prior_absolute_error: 0.4939, weighted_recall: 0.981, number_of_instances: 1372, precision: 0.9815, predictive_accuracy: 0.981, prior_entropy: 0.9911, relative_absolute_error: 0.0784, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1075, root_relative_squared_error: 0.2163, unweighted_recall: 0.9824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9511, f_measure: 0.8295, kappa: 0.6568, kb_relative_information_score: 0.2032, mean_absolute_error: 0.4159, mean_prior_absolute_error: 0.4939, weighted_recall: 0.836, number_of_instances: 1372, precision: 0.8634, predictive_accuracy: 0.836, prior_entropy: 0.9911, relative_absolute_error: 0.8421, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4238, root_relative_squared_error: 0.8528, unweighted_recall: 0.8177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9876, kappa: 0.9749, kb_relative_information_score: 0.972, mean_absolute_error: 0.0146, mean_prior_absolute_error: 0.4939, weighted_recall: 0.9876, number_of_instances: 1372, precision: 0.9876, predictive_accuracy: 0.9876, prior_entropy: 0.9911, relative_absolute_error: 0.0295, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0848, root_relative_squared_error: 0.1706, unweighted_recall: 0.9877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9811, kappa: 0.9618, kb_relative_information_score: 0.932, mean_absolute_error: 0.0387, mean_prior_absolute_error: 0.4939, weighted_recall: 0.981, number_of_instances: 1372, precision: 0.9815, predictive_accuracy: 0.981, prior_entropy: 0.9911, relative_absolute_error: 0.0784, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1075, root_relative_squared_error: 0.2163, unweighted_recall: 0.9824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9876, kappa: 0.9749, kb_relative_information_score: 0.9749, mean_absolute_error: 0.0128, mean_prior_absolute_error: 0.4939, weighted_recall: 0.9876, number_of_instances: 1372, precision: 0.9876, predictive_accuracy: 0.9876, prior_entropy: 0.9911, relative_absolute_error: 0.0258, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.087, root_relative_squared_error: 0.1751, unweighted_recall: 0.9875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9511, f_measure: 0.8295, kappa: 0.6568, kb_relative_information_score: 0.2032, mean_absolute_error: 0.4159, mean_prior_absolute_error: 0.4939, weighted_recall: 0.836, number_of_instances: 1372, precision: 0.8634, predictive_accuracy: 0.836, prior_entropy: 0.9911, relative_absolute_error: 0.8421, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4238, root_relative_squared_error: 0.8528, unweighted_recall: 0.8177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9811, kappa: 0.9618, kb_relative_information_score: 0.932, mean_absolute_error: 0.0387, mean_prior_absolute_error: 0.4939, weighted_recall: 0.981, number_of_instances: 1372, precision: 0.9815, predictive_accuracy: 0.981, prior_entropy: 0.9911, relative_absolute_error: 0.0784, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1075, root_relative_squared_error: 0.2163, unweighted_recall: 0.9824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9811, kappa: 0.9618, kb_relative_information_score: 0.932, mean_absolute_error: 0.0387, mean_prior_absolute_error: 0.4939, weighted_recall: 0.981, number_of_instances: 1372, precision: 0.9815, predictive_accuracy: 0.981, prior_entropy: 0.9911, relative_absolute_error: 0.0784, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1075, root_relative_squared_error: 0.2163, unweighted_recall: 0.9824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9811, kappa: 0.9618, kb_relative_information_score: 0.932, mean_absolute_error: 0.0387, mean_prior_absolute_error: 0.4939, weighted_recall: 0.981, number_of_instances: 1372, precision: 0.9815, predictive_accuracy: 0.981, prior_entropy: 0.9911, relative_absolute_error: 0.0784, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1075, root_relative_squared_error: 0.2163, unweighted_recall: 0.9824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9811, kappa: 0.9618, kb_relative_information_score: 0.932, mean_absolute_error: 0.0387, mean_prior_absolute_error: 0.4939, weighted_recall: 0.981, number_of_instances: 1372, precision: 0.9815, predictive_accuracy: 0.981, prior_entropy: 0.9911, relative_absolute_error: 0.0784, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1075, root_relative_squared_error: 0.2163, unweighted_recall: 0.9824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9811, kappa: 0.9618, kb_relative_information_score: 0.932, mean_absolute_error: 0.0387, mean_prior_absolute_error: 0.4939, weighted_recall: 0.981, number_of_instances: 1372, precision: 0.9815, predictive_accuracy: 0.981, prior_entropy: 0.9911, relative_absolute_error: 0.0784, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1075, root_relative_squared_error: 0.2163, unweighted_recall: 0.9824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9511, f_measure: 0.8295, kappa: 0.6568, kb_relative_information_score: 0.2032, mean_absolute_error: 0.4159, mean_prior_absolute_error: 0.4939, weighted_recall: 0.836, number_of_instances: 1372, precision: 0.8634, predictive_accuracy: 0.836, prior_entropy: 0.9911, relative_absolute_error: 0.8421, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4238, root_relative_squared_error: 0.8528, unweighted_recall: 0.8177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9511, f_measure: 0.8295, kappa: 0.6568, kb_relative_information_score: 0.2032, mean_absolute_error: 0.4159, mean_prior_absolute_error: 0.4939, weighted_recall: 0.836, number_of_instances: 1372, precision: 0.8634, predictive_accuracy: 0.836, prior_entropy: 0.9911, relative_absolute_error: 0.8421, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4238, root_relative_squared_error: 0.8528, unweighted_recall: 0.8177,

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