OpenML
Supervised Classification on kc2

Supervised Classification on kc2

Task 3913 Supervised Classification kc2 174023 runs submitted
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  • OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_41 study_7 study_98 study_99 under100k under1m
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174023 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8371, f_measure: 0.7456, kappa: 0.1365, kb_relative_information_score: 0.1254, mean_absolute_error: 0.2883, mean_prior_absolute_error: 0.3266, weighted_recall: 0.8123, number_of_instances: 522, precision: 0.8305, predictive_accuracy: 0.8123, prior_entropy: 0.7318, relative_absolute_error: 0.8829, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3669, root_relative_squared_error: 0.9089, unweighted_recall: 0.5455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8331, f_measure: 0.8291, kappa: 0.4405, kb_relative_information_score: 0.2705, mean_absolute_error: 0.2257, mean_prior_absolute_error: 0.3266, weighted_recall: 0.8448, number_of_instances: 522, precision: 0.8315, predictive_accuracy: 0.8448, prior_entropy: 0.7318, relative_absolute_error: 0.6911, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3399, root_relative_squared_error: 0.8419, unweighted_recall: 0.6874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8331, f_measure: 0.8291, kappa: 0.4405, kb_relative_information_score: 0.2705, mean_absolute_error: 0.2257, mean_prior_absolute_error: 0.3266, weighted_recall: 0.8448, number_of_instances: 522, precision: 0.8315, predictive_accuracy: 0.8448, prior_entropy: 0.7318, relative_absolute_error: 0.6911, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3399, root_relative_squared_error: 0.8419, unweighted_recall: 0.6874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8331, f_measure: 0.8291, kappa: 0.4405, kb_relative_information_score: 0.2705, mean_absolute_error: 0.2257, mean_prior_absolute_error: 0.3266, weighted_recall: 0.8448, number_of_instances: 522, precision: 0.8315, predictive_accuracy: 0.8448, prior_entropy: 0.7318, relative_absolute_error: 0.6911, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3399, root_relative_squared_error: 0.8419, unweighted_recall: 0.6874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8332, f_measure: 0.8117, kappa: 0.3858, kb_relative_information_score: 0.2765, mean_absolute_error: 0.2223, mean_prior_absolute_error: 0.3266, weighted_recall: 0.8276, number_of_instances: 522, precision: 0.8099, predictive_accuracy: 0.8276, prior_entropy: 0.7318, relative_absolute_error: 0.6807, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3459, root_relative_squared_error: 0.8569, unweighted_recall: 0.6661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8371, f_measure: 0.7456, kappa: 0.1365, kb_relative_information_score: 0.1254, mean_absolute_error: 0.2883, mean_prior_absolute_error: 0.3266, weighted_recall: 0.8123, number_of_instances: 522, precision: 0.8305, predictive_accuracy: 0.8123, prior_entropy: 0.7318, relative_absolute_error: 0.8829, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3669, root_relative_squared_error: 0.9089, unweighted_recall: 0.5455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8331, f_measure: 0.8291, kappa: 0.4405, kb_relative_information_score: 0.2705, mean_absolute_error: 0.2257, mean_prior_absolute_error: 0.3266, weighted_recall: 0.8448, number_of_instances: 522, precision: 0.8315, predictive_accuracy: 0.8448, prior_entropy: 0.7318, relative_absolute_error: 0.6911, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3399, root_relative_squared_error: 0.8419, unweighted_recall: 0.6874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8331, f_measure: 0.8291, kappa: 0.4405, kb_relative_information_score: 0.2705, mean_absolute_error: 0.2257, mean_prior_absolute_error: 0.3266, weighted_recall: 0.8448, number_of_instances: 522, precision: 0.8315, predictive_accuracy: 0.8448, prior_entropy: 0.7318, relative_absolute_error: 0.6911, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3399, root_relative_squared_error: 0.8419, unweighted_recall: 0.6874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8331, f_measure: 0.8291, kappa: 0.4405, kb_relative_information_score: 0.2705, mean_absolute_error: 0.2257, mean_prior_absolute_error: 0.3266, weighted_recall: 0.8448, number_of_instances: 522, precision: 0.8315, predictive_accuracy: 0.8448, prior_entropy: 0.7318, relative_absolute_error: 0.6911, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3399, root_relative_squared_error: 0.8419, unweighted_recall: 0.6874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.837, f_measure: 0.8153, kappa: 0.3798, kb_relative_information_score: 0.2343, mean_absolute_error: 0.2439, mean_prior_absolute_error: 0.3266, weighted_recall: 0.8448, number_of_instances: 522, precision: 0.8421, predictive_accuracy: 0.8448, prior_entropy: 0.7318, relative_absolute_error: 0.7468, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3413, root_relative_squared_error: 0.8454, unweighted_recall: 0.6458,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8371, f_measure: 0.7456, kappa: 0.1365, kb_relative_information_score: 0.1254, mean_absolute_error: 0.2883, mean_prior_absolute_error: 0.3266, weighted_recall: 0.8123, number_of_instances: 522, precision: 0.8305, predictive_accuracy: 0.8123, prior_entropy: 0.7318, relative_absolute_error: 0.8829, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3669, root_relative_squared_error: 0.9089, unweighted_recall: 0.5455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8331, f_measure: 0.8291, kappa: 0.4405, kb_relative_information_score: 0.2705, mean_absolute_error: 0.2257, mean_prior_absolute_error: 0.3266, weighted_recall: 0.8448, number_of_instances: 522, precision: 0.8315, predictive_accuracy: 0.8448, prior_entropy: 0.7318, relative_absolute_error: 0.6911, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3399, root_relative_squared_error: 0.8419, unweighted_recall: 0.6874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8331, f_measure: 0.8291, kappa: 0.4405, kb_relative_information_score: 0.2705, mean_absolute_error: 0.2257, mean_prior_absolute_error: 0.3266, weighted_recall: 0.8448, number_of_instances: 522, precision: 0.8315, predictive_accuracy: 0.8448, prior_entropy: 0.7318, relative_absolute_error: 0.6911, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3399, root_relative_squared_error: 0.8419, unweighted_recall: 0.6874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8052, f_measure: 0.8029, kappa: 0.3594, kb_relative_information_score: 0.2535, mean_absolute_error: 0.2277, mean_prior_absolute_error: 0.3266, weighted_recall: 0.818, number_of_instances: 522, precision: 0.799, predictive_accuracy: 0.818, prior_entropy: 0.7318, relative_absolute_error: 0.6971, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3585, root_relative_squared_error: 0.8882, unweighted_recall: 0.6566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8331, f_measure: 0.8291, kappa: 0.4405, kb_relative_information_score: 0.2705, mean_absolute_error: 0.2257, mean_prior_absolute_error: 0.3266, weighted_recall: 0.8448, number_of_instances: 522, precision: 0.8315, predictive_accuracy: 0.8448, prior_entropy: 0.7318, relative_absolute_error: 0.6911, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3399, root_relative_squared_error: 0.8419, unweighted_recall: 0.6874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8371, f_measure: 0.7456, kappa: 0.1365, kb_relative_information_score: 0.1254, mean_absolute_error: 0.2883, mean_prior_absolute_error: 0.3266, weighted_recall: 0.8123, number_of_instances: 522, precision: 0.8305, predictive_accuracy: 0.8123, prior_entropy: 0.7318, relative_absolute_error: 0.8829, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3669, root_relative_squared_error: 0.9089, unweighted_recall: 0.5455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8346, f_measure: 0.8191, kappa: 0.4027, kb_relative_information_score: 0.2656, mean_absolute_error: 0.2281, mean_prior_absolute_error: 0.3266, weighted_recall: 0.8391, number_of_instances: 522, precision: 0.8243, predictive_accuracy: 0.8391, prior_entropy: 0.7318, relative_absolute_error: 0.6983, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3387, root_relative_squared_error: 0.839, unweighted_recall: 0.6664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8332, f_measure: 0.8291, kappa: 0.4405, kb_relative_information_score: 0.2707, mean_absolute_error: 0.2257, mean_prior_absolute_error: 0.3266, weighted_recall: 0.8448, number_of_instances: 522, precision: 0.8315, predictive_accuracy: 0.8448, prior_entropy: 0.7318, relative_absolute_error: 0.6909, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3399, root_relative_squared_error: 0.842, unweighted_recall: 0.6874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8331, f_measure: 0.8291, kappa: 0.4405, kb_relative_information_score: 0.2705, mean_absolute_error: 0.2257, mean_prior_absolute_error: 0.3266, weighted_recall: 0.8448, number_of_instances: 522, precision: 0.8315, predictive_accuracy: 0.8448, prior_entropy: 0.7318, relative_absolute_error: 0.6911, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3399, root_relative_squared_error: 0.8419, unweighted_recall: 0.6874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8331, f_measure: 0.8291, kappa: 0.4405, kb_relative_information_score: 0.2705, mean_absolute_error: 0.2257, mean_prior_absolute_error: 0.3266, weighted_recall: 0.8448, number_of_instances: 522, precision: 0.8315, predictive_accuracy: 0.8448, prior_entropy: 0.7318, relative_absolute_error: 0.6911, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3399, root_relative_squared_error: 0.8419, unweighted_recall: 0.6874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8331, f_measure: 0.8291, kappa: 0.4405, kb_relative_information_score: 0.2705, mean_absolute_error: 0.2257, mean_prior_absolute_error: 0.3266, weighted_recall: 0.8448, number_of_instances: 522, precision: 0.8315, predictive_accuracy: 0.8448, prior_entropy: 0.7318, relative_absolute_error: 0.6911, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3399, root_relative_squared_error: 0.8419, unweighted_recall: 0.6874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8331, f_measure: 0.8291, kappa: 0.4405, kb_relative_information_score: 0.2705, mean_absolute_error: 0.2257, mean_prior_absolute_error: 0.3266, weighted_recall: 0.8448, number_of_instances: 522, precision: 0.8315, predictive_accuracy: 0.8448, prior_entropy: 0.7318, relative_absolute_error: 0.6911, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3399, root_relative_squared_error: 0.8419, unweighted_recall: 0.6874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8371, f_measure: 0.7456, kappa: 0.1365, kb_relative_information_score: 0.1254, mean_absolute_error: 0.2883, mean_prior_absolute_error: 0.3266, weighted_recall: 0.8123, number_of_instances: 522, precision: 0.8305, predictive_accuracy: 0.8123, prior_entropy: 0.7318, relative_absolute_error: 0.8829, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3669, root_relative_squared_error: 0.9089, unweighted_recall: 0.5455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8331, f_measure: 0.8291, kappa: 0.4405, kb_relative_information_score: 0.2705, mean_absolute_error: 0.2257, mean_prior_absolute_error: 0.3266, weighted_recall: 0.8448, number_of_instances: 522, precision: 0.8315, predictive_accuracy: 0.8448, prior_entropy: 0.7318, relative_absolute_error: 0.6911, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3399, root_relative_squared_error: 0.8419, unweighted_recall: 0.6874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8331, f_measure: 0.8291, kappa: 0.4405, kb_relative_information_score: 0.2705, mean_absolute_error: 0.2257, mean_prior_absolute_error: 0.3266, weighted_recall: 0.8448, number_of_instances: 522, precision: 0.8315, predictive_accuracy: 0.8448, prior_entropy: 0.7318, relative_absolute_error: 0.6911, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3399, root_relative_squared_error: 0.8419, unweighted_recall: 0.6874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8332, f_measure: 0.8213, kappa: 0.4126, kb_relative_information_score: 0.2385, mean_absolute_error: 0.2371, mean_prior_absolute_error: 0.3266, weighted_recall: 0.8391, number_of_instances: 522, precision: 0.8241, predictive_accuracy: 0.8391, prior_entropy: 0.7318, relative_absolute_error: 0.726, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3392, root_relative_squared_error: 0.8402, unweighted_recall: 0.6734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8331, f_measure: 0.8291, kappa: 0.4405, kb_relative_information_score: 0.2705, mean_absolute_error: 0.2257, mean_prior_absolute_error: 0.3266, weighted_recall: 0.8448, number_of_instances: 522, precision: 0.8315, predictive_accuracy: 0.8448, prior_entropy: 0.7318, relative_absolute_error: 0.6911, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3399, root_relative_squared_error: 0.8419, unweighted_recall: 0.6874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8052, f_measure: 0.8029, kappa: 0.3594, kb_relative_information_score: 0.2535, mean_absolute_error: 0.2277, mean_prior_absolute_error: 0.3266, weighted_recall: 0.818, number_of_instances: 522, precision: 0.799, predictive_accuracy: 0.818, prior_entropy: 0.7318, relative_absolute_error: 0.6971, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3585, root_relative_squared_error: 0.8882, unweighted_recall: 0.6566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.837, f_measure: 0.8153, kappa: 0.3798, kb_relative_information_score: 0.2343, mean_absolute_error: 0.2439, mean_prior_absolute_error: 0.3266, weighted_recall: 0.8448, number_of_instances: 522, precision: 0.8421, predictive_accuracy: 0.8448, prior_entropy: 0.7318, relative_absolute_error: 0.7468, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3413, root_relative_squared_error: 0.8454, unweighted_recall: 0.6458,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8079, f_measure: 0.806, kappa: 0.3679, kb_relative_information_score: 0.2542, mean_absolute_error: 0.2274, mean_prior_absolute_error: 0.3266, weighted_recall: 0.8218, number_of_instances: 522, precision: 0.803, predictive_accuracy: 0.8218, prior_entropy: 0.7318, relative_absolute_error: 0.6963, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3573, root_relative_squared_error: 0.8851, unweighted_recall: 0.6591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8331, f_measure: 0.8291, kappa: 0.4405, kb_relative_information_score: 0.2705, mean_absolute_error: 0.2257, mean_prior_absolute_error: 0.3266, weighted_recall: 0.8448, number_of_instances: 522, precision: 0.8315, predictive_accuracy: 0.8448, prior_entropy: 0.7318, relative_absolute_error: 0.6911, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3399, root_relative_squared_error: 0.8419, unweighted_recall: 0.6874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8346, f_measure: 0.8191, kappa: 0.4027, kb_relative_information_score: 0.2656, mean_absolute_error: 0.2281, mean_prior_absolute_error: 0.3266, weighted_recall: 0.8391, number_of_instances: 522, precision: 0.8243, predictive_accuracy: 0.8391, prior_entropy: 0.7318, relative_absolute_error: 0.6983, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3387, root_relative_squared_error: 0.839, unweighted_recall: 0.6664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8331, f_measure: 0.8291, kappa: 0.4405, kb_relative_information_score: 0.2705, mean_absolute_error: 0.2257, mean_prior_absolute_error: 0.3266, weighted_recall: 0.8448, number_of_instances: 522, precision: 0.8315, predictive_accuracy: 0.8448, prior_entropy: 0.7318, relative_absolute_error: 0.6911, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3399, root_relative_squared_error: 0.8419, unweighted_recall: 0.6874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.837, f_measure: 0.8153, kappa: 0.3798, kb_relative_information_score: 0.2343, mean_absolute_error: 0.2439, mean_prior_absolute_error: 0.3266, weighted_recall: 0.8448, number_of_instances: 522, precision: 0.8421, predictive_accuracy: 0.8448, prior_entropy: 0.7318, relative_absolute_error: 0.7468, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3413, root_relative_squared_error: 0.8454, unweighted_recall: 0.6458,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8331, f_measure: 0.8291, kappa: 0.4405, kb_relative_information_score: 0.2705, mean_absolute_error: 0.2257, mean_prior_absolute_error: 0.3266, weighted_recall: 0.8448, number_of_instances: 522, precision: 0.8315, predictive_accuracy: 0.8448, prior_entropy: 0.7318, relative_absolute_error: 0.6911, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3399, root_relative_squared_error: 0.8419, unweighted_recall: 0.6874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8371, f_measure: 0.7456, kappa: 0.1365, kb_relative_information_score: 0.1254, mean_absolute_error: 0.2883, mean_prior_absolute_error: 0.3266, weighted_recall: 0.8123, number_of_instances: 522, precision: 0.8305, predictive_accuracy: 0.8123, prior_entropy: 0.7318, relative_absolute_error: 0.8829, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3669, root_relative_squared_error: 0.9089, unweighted_recall: 0.5455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8331, f_measure: 0.8291, kappa: 0.4405, kb_relative_information_score: 0.2705, mean_absolute_error: 0.2257, mean_prior_absolute_error: 0.3266, weighted_recall: 0.8448, number_of_instances: 522, precision: 0.8315, predictive_accuracy: 0.8448, prior_entropy: 0.7318, relative_absolute_error: 0.6911, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3399, root_relative_squared_error: 0.8419, unweighted_recall: 0.6874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8331, f_measure: 0.8291, kappa: 0.4405, kb_relative_information_score: 0.2705, mean_absolute_error: 0.2257, mean_prior_absolute_error: 0.3266, weighted_recall: 0.8448, number_of_instances: 522, precision: 0.8315, predictive_accuracy: 0.8448, prior_entropy: 0.7318, relative_absolute_error: 0.6911, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3399, root_relative_squared_error: 0.8419, unweighted_recall: 0.6874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8371, f_measure: 0.7456, kappa: 0.1365, kb_relative_information_score: 0.1254, mean_absolute_error: 0.2883, mean_prior_absolute_error: 0.3266, weighted_recall: 0.8123, number_of_instances: 522, precision: 0.8305, predictive_accuracy: 0.8123, prior_entropy: 0.7318, relative_absolute_error: 0.8829, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3669, root_relative_squared_error: 0.9089, unweighted_recall: 0.5455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8331, f_measure: 0.8291, kappa: 0.4405, kb_relative_information_score: 0.2705, mean_absolute_error: 0.2257, mean_prior_absolute_error: 0.3266, weighted_recall: 0.8448, number_of_instances: 522, precision: 0.8315, predictive_accuracy: 0.8448, prior_entropy: 0.7318, relative_absolute_error: 0.6911, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3399, root_relative_squared_error: 0.8419, unweighted_recall: 0.6874,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8331, f_measure: 0.8291, kappa: 0.4405, kb_relative_information_score: 0.2705, mean_absolute_error: 0.2257, mean_prior_absolute_error: 0.3266, weighted_recall: 0.8448, number_of_instances: 522, precision: 0.8315, predictive_accuracy: 0.8448, prior_entropy: 0.7318, relative_absolute_error: 0.6911, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3399, root_relative_squared_error: 0.8419, unweighted_recall: 0.6874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8331, f_measure: 0.8291, kappa: 0.4405, kb_relative_information_score: 0.2705, mean_absolute_error: 0.2257, mean_prior_absolute_error: 0.3266, weighted_recall: 0.8448, number_of_instances: 522, precision: 0.8315, predictive_accuracy: 0.8448, prior_entropy: 0.7318, relative_absolute_error: 0.6911, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3399, root_relative_squared_error: 0.8419, unweighted_recall: 0.6874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8331, f_measure: 0.8291, kappa: 0.4405, kb_relative_information_score: 0.2705, mean_absolute_error: 0.2257, mean_prior_absolute_error: 0.3266, weighted_recall: 0.8448, number_of_instances: 522, precision: 0.8315, predictive_accuracy: 0.8448, prior_entropy: 0.7318, relative_absolute_error: 0.6911, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3399, root_relative_squared_error: 0.8419, unweighted_recall: 0.6874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8331, f_measure: 0.8291, kappa: 0.4405, kb_relative_information_score: 0.2705, mean_absolute_error: 0.2257, mean_prior_absolute_error: 0.3266, weighted_recall: 0.8448, number_of_instances: 522, precision: 0.8315, predictive_accuracy: 0.8448, prior_entropy: 0.7318, relative_absolute_error: 0.6911, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3399, root_relative_squared_error: 0.8419, unweighted_recall: 0.6874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8331, f_measure: 0.8291, kappa: 0.4405, kb_relative_information_score: 0.2705, mean_absolute_error: 0.2257, mean_prior_absolute_error: 0.3266, weighted_recall: 0.8448, number_of_instances: 522, precision: 0.8315, predictive_accuracy: 0.8448, prior_entropy: 0.7318, relative_absolute_error: 0.6911, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3399, root_relative_squared_error: 0.8419, unweighted_recall: 0.6874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8331, f_measure: 0.8291, kappa: 0.4405, kb_relative_information_score: 0.2705, mean_absolute_error: 0.2257, mean_prior_absolute_error: 0.3266, weighted_recall: 0.8448, number_of_instances: 522, precision: 0.8315, predictive_accuracy: 0.8448, prior_entropy: 0.7318, relative_absolute_error: 0.6911, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3399, root_relative_squared_error: 0.8419, unweighted_recall: 0.6874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8331, f_measure: 0.8291, kappa: 0.4405, kb_relative_information_score: 0.2705, mean_absolute_error: 0.2257, mean_prior_absolute_error: 0.3266, weighted_recall: 0.8448, number_of_instances: 522, precision: 0.8315, predictive_accuracy: 0.8448, prior_entropy: 0.7318, relative_absolute_error: 0.6911, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3399, root_relative_squared_error: 0.8419, unweighted_recall: 0.6874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8331, f_measure: 0.8291, kappa: 0.4405, kb_relative_information_score: 0.2705, mean_absolute_error: 0.2257, mean_prior_absolute_error: 0.3266, weighted_recall: 0.8448, number_of_instances: 522, precision: 0.8315, predictive_accuracy: 0.8448, prior_entropy: 0.7318, relative_absolute_error: 0.6911, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3399, root_relative_squared_error: 0.8419, unweighted_recall: 0.6874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8331, f_measure: 0.8291, kappa: 0.4405, kb_relative_information_score: 0.2705, mean_absolute_error: 0.2257, mean_prior_absolute_error: 0.3266, weighted_recall: 0.8448, number_of_instances: 522, precision: 0.8315, predictive_accuracy: 0.8448, prior_entropy: 0.7318, relative_absolute_error: 0.6911, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3399, root_relative_squared_error: 0.8419, unweighted_recall: 0.6874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8236, f_measure: 0.8185, kappa: 0.4087, kb_relative_information_score: 0.2679, mean_absolute_error: 0.2247, mean_prior_absolute_error: 0.3266, weighted_recall: 0.8333, number_of_instances: 522, precision: 0.8173, predictive_accuracy: 0.8333, prior_entropy: 0.7318, relative_absolute_error: 0.6881, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3475, root_relative_squared_error: 0.8609, unweighted_recall: 0.6767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8331, f_measure: 0.8291, kappa: 0.4405, kb_relative_information_score: 0.2705, mean_absolute_error: 0.2257, mean_prior_absolute_error: 0.3266, weighted_recall: 0.8448, number_of_instances: 522, precision: 0.8315, predictive_accuracy: 0.8448, prior_entropy: 0.7318, relative_absolute_error: 0.6911, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3399, root_relative_squared_error: 0.8419, unweighted_recall: 0.6874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8331, f_measure: 0.8291, kappa: 0.4405, kb_relative_information_score: 0.2705, mean_absolute_error: 0.2257, mean_prior_absolute_error: 0.3266, weighted_recall: 0.8448, number_of_instances: 522, precision: 0.8315, predictive_accuracy: 0.8448, prior_entropy: 0.7318, relative_absolute_error: 0.6911, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3399, root_relative_squared_error: 0.8419, unweighted_recall: 0.6874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8331, f_measure: 0.8291, kappa: 0.4405, kb_relative_information_score: 0.2705, mean_absolute_error: 0.2257, mean_prior_absolute_error: 0.3266, weighted_recall: 0.8448, number_of_instances: 522, precision: 0.8315, predictive_accuracy: 0.8448, prior_entropy: 0.7318, relative_absolute_error: 0.6911, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3399, root_relative_squared_error: 0.8419, unweighted_recall: 0.6874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8331, f_measure: 0.8291, kappa: 0.4405, kb_relative_information_score: 0.2705, mean_absolute_error: 0.2257, mean_prior_absolute_error: 0.3266, weighted_recall: 0.8448, number_of_instances: 522, precision: 0.8315, predictive_accuracy: 0.8448, prior_entropy: 0.7318, relative_absolute_error: 0.6911, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3399, root_relative_squared_error: 0.8419, unweighted_recall: 0.6874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8331, f_measure: 0.8291, kappa: 0.4405, kb_relative_information_score: 0.2705, mean_absolute_error: 0.2257, mean_prior_absolute_error: 0.3266, weighted_recall: 0.8448, number_of_instances: 522, precision: 0.8315, predictive_accuracy: 0.8448, prior_entropy: 0.7318, relative_absolute_error: 0.6911, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3399, root_relative_squared_error: 0.8419, unweighted_recall: 0.6874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8236, f_measure: 0.8185, kappa: 0.4087, kb_relative_information_score: 0.2679, mean_absolute_error: 0.2247, mean_prior_absolute_error: 0.3266, weighted_recall: 0.8333, number_of_instances: 522, precision: 0.8173, predictive_accuracy: 0.8333, prior_entropy: 0.7318, relative_absolute_error: 0.6881, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3475, root_relative_squared_error: 0.8609, unweighted_recall: 0.6767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8052, f_measure: 0.8029, kappa: 0.3594, kb_relative_information_score: 0.2535, mean_absolute_error: 0.2277, mean_prior_absolute_error: 0.3266, weighted_recall: 0.818, number_of_instances: 522, precision: 0.799, predictive_accuracy: 0.818, prior_entropy: 0.7318, relative_absolute_error: 0.6971, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3585, root_relative_squared_error: 0.8882, unweighted_recall: 0.6566,

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