OpenML
Supervised Classification on diabetes

Supervised Classification on diabetes

Task 37 Supervised Classification diabetes 131493 runs submitted
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  • at2 basic mythbusting mythbusting_1 OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_29 study_30 study_41 study_7 study_70 study_73 study_98 study_99 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2007, mean_absolute_error: 0.349, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9331, recall: 0.651, relative_absolute_error: 0.7678, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5907, root_relative_squared_error: 1.2394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.612, f_measure: 0.6594, kappa: 0.236, kb_relative_information_score: 0.2455, mean_absolute_error: 0.3294, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6564, predictive_accuracy: 0.6706, prior_entropy: 0.9331, recall: 0.6706, relative_absolute_error: 0.7248, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.574, root_relative_squared_error: 1.2042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2007, mean_absolute_error: 0.349, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9331, recall: 0.651, relative_absolute_error: 0.7678, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5907, root_relative_squared_error: 1.2394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2007, mean_absolute_error: 0.349, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9331, recall: 0.651, relative_absolute_error: 0.7678, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5907, root_relative_squared_error: 1.2394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2007, mean_absolute_error: 0.349, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9331, recall: 0.651, relative_absolute_error: 0.7678, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5907, root_relative_squared_error: 1.2394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3741, f_measure: 0.4333, kappa: -0.2554, kb_relative_information_score: -0.2884, mean_absolute_error: 0.5625, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4293, predictive_accuracy: 0.4375, prior_entropy: 0.9331, recall: 0.4375, relative_absolute_error: 1.2376, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.75, root_relative_squared_error: 1.5735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6467, f_measure: 0.685, kappa: 0.3, kb_relative_information_score: 0.2872, mean_absolute_error: 0.3112, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6827, predictive_accuracy: 0.6888, prior_entropy: 0.9331, recall: 0.6888, relative_absolute_error: 0.6847, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5579, root_relative_squared_error: 1.1704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5027, f_measure: 0.5188, kappa: 0.0071, kb_relative_information_score: 0.2037, mean_absolute_error: 0.3477, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6573, predictive_accuracy: 0.6523, prior_entropy: 0.9331, recall: 0.6523, relative_absolute_error: 0.7649, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5896, root_relative_squared_error: 1.237,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4929, f_measure: 0.5107, kappa: -0.0184, kb_relative_information_score: 0.1769, mean_absolute_error: 0.3594, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4566, predictive_accuracy: 0.6406, prior_entropy: 0.9331, recall: 0.6406, relative_absolute_error: 0.7907, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5995, root_relative_squared_error: 1.2577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2007, mean_absolute_error: 0.349, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9331, recall: 0.651, relative_absolute_error: 0.7678, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5907, root_relative_squared_error: 1.2394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.498, f_measure: 0.5122, kappa: -0.0052, kb_relative_information_score: 0.1948, mean_absolute_error: 0.3516, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4233, predictive_accuracy: 0.6484, prior_entropy: 0.9331, recall: 0.6484, relative_absolute_error: 0.7735, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5929, root_relative_squared_error: 1.244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2007, mean_absolute_error: 0.349, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9331, recall: 0.651, relative_absolute_error: 0.7678, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5907, root_relative_squared_error: 1.2394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4485, f_measure: 0.5021, kappa: -0.1174, kb_relative_information_score: -0.02, mean_absolute_error: 0.4453, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4776, predictive_accuracy: 0.5547, prior_entropy: 0.9331, recall: 0.5547, relative_absolute_error: 0.9798, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.6673, root_relative_squared_error: 1.4,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2007, mean_absolute_error: 0.349, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9331, recall: 0.651, relative_absolute_error: 0.7678, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5907, root_relative_squared_error: 1.2394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2007, mean_absolute_error: 0.349, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9331, recall: 0.651, relative_absolute_error: 0.7678, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5907, root_relative_squared_error: 1.2394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2007, mean_absolute_error: 0.349, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9331, recall: 0.651, relative_absolute_error: 0.7678, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5907, root_relative_squared_error: 1.2394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6579, f_measure: 0.713, kappa: 0.3541, kb_relative_information_score: 0.4005, mean_absolute_error: 0.2617, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7375, predictive_accuracy: 0.7383, prior_entropy: 0.9331, recall: 0.7383, relative_absolute_error: 0.5758, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5116, root_relative_squared_error: 1.0733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2007, mean_absolute_error: 0.349, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9331, recall: 0.651, relative_absolute_error: 0.7678, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5907, root_relative_squared_error: 1.2394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6394, f_measure: 0.6957, kappa: 0.3166, kb_relative_information_score: 0.3737, mean_absolute_error: 0.2734, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7258, predictive_accuracy: 0.7266, prior_entropy: 0.9331, recall: 0.7266, relative_absolute_error: 0.6016, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5229, root_relative_squared_error: 1.0971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4929, f_measure: 0.5107, kappa: -0.0184, kb_relative_information_score: 0.1769, mean_absolute_error: 0.3594, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4566, predictive_accuracy: 0.6406, prior_entropy: 0.9331, recall: 0.6406, relative_absolute_error: 0.7907, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5995, root_relative_squared_error: 1.2577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3826, f_measure: 0.4407, kappa: -0.2376, kb_relative_information_score: -0.2735, mean_absolute_error: 0.556, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4375, predictive_accuracy: 0.444, prior_entropy: 0.9331, recall: 0.444, relative_absolute_error: 1.2233, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.7456, root_relative_squared_error: 1.5644,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2007, mean_absolute_error: 0.349, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9331, recall: 0.651, relative_absolute_error: 0.7678, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5907, root_relative_squared_error: 1.2394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2007, mean_absolute_error: 0.349, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9331, recall: 0.651, relative_absolute_error: 0.7678, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5907, root_relative_squared_error: 1.2394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6394, f_measure: 0.6957, kappa: 0.3166, kb_relative_information_score: 0.3737, mean_absolute_error: 0.2734, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7258, predictive_accuracy: 0.7266, prior_entropy: 0.9331, recall: 0.7266, relative_absolute_error: 0.6016, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5229, root_relative_squared_error: 1.0971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2007, mean_absolute_error: 0.349, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9331, recall: 0.651, relative_absolute_error: 0.7678, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5907, root_relative_squared_error: 1.2394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2007, mean_absolute_error: 0.349, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9331, recall: 0.651, relative_absolute_error: 0.7678, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5907, root_relative_squared_error: 1.2394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.498, f_measure: 0.5122, kappa: -0.0052, kb_relative_information_score: 0.1948, mean_absolute_error: 0.3516, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4233, predictive_accuracy: 0.6484, prior_entropy: 0.9331, recall: 0.6484, relative_absolute_error: 0.7735, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5929, root_relative_squared_error: 1.244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.507, f_measure: 0.5407, kappa: 0.0175, kb_relative_information_score: 0.1828, mean_absolute_error: 0.3568, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.5714, predictive_accuracy: 0.6432, prior_entropy: 0.9331, recall: 0.6432, relative_absolute_error: 0.785, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5973, root_relative_squared_error: 1.2532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6549, f_measure: 0.6845, kappa: 0.3078, kb_relative_information_score: 0.2753, mean_absolute_error: 0.3164, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6856, predictive_accuracy: 0.6836, prior_entropy: 0.9331, recall: 0.6836, relative_absolute_error: 0.6962, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5625, root_relative_squared_error: 1.1801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6687, f_measure: 0.7143, kappa: 0.3581, kb_relative_information_score: 0.3707, mean_absolute_error: 0.2747, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7154, predictive_accuracy: 0.7253, prior_entropy: 0.9331, recall: 0.7253, relative_absolute_error: 0.6045, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5242, root_relative_squared_error: 1.0997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3645, f_measure: 0.4269, kappa: -0.2853, kb_relative_information_score: -0.2705, mean_absolute_error: 0.5547, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4119, predictive_accuracy: 0.4453, prior_entropy: 0.9331, recall: 0.4453, relative_absolute_error: 1.2205, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.7448, root_relative_squared_error: 1.5625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4929, f_measure: 0.5107, kappa: -0.0184, kb_relative_information_score: 0.1769, mean_absolute_error: 0.3594, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4566, predictive_accuracy: 0.6406, prior_entropy: 0.9331, recall: 0.6406, relative_absolute_error: 0.7907, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5995, root_relative_squared_error: 1.2577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3699, f_measure: 0.4318, kappa: -0.2775, kb_relative_information_score: -0.2466, mean_absolute_error: 0.5443, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4131, predictive_accuracy: 0.4557, prior_entropy: 0.9331, recall: 0.4557, relative_absolute_error: 1.1975, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.7377, root_relative_squared_error: 1.5478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.498, f_measure: 0.5122, kappa: -0.0052, kb_relative_information_score: 0.1948, mean_absolute_error: 0.3516, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4233, predictive_accuracy: 0.6484, prior_entropy: 0.9331, recall: 0.6484, relative_absolute_error: 0.7735, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5929, root_relative_squared_error: 1.244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5268, f_measure: 0.5719, kappa: 0.0653, kb_relative_information_score: 0.2007, mean_absolute_error: 0.349, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.607, predictive_accuracy: 0.651, prior_entropy: 0.9331, recall: 0.651, relative_absolute_error: 0.7678, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5907, root_relative_squared_error: 1.2394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2007, mean_absolute_error: 0.349, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9331, recall: 0.651, relative_absolute_error: 0.7678, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5907, root_relative_squared_error: 1.2394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2007, mean_absolute_error: 0.349, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9331, recall: 0.651, relative_absolute_error: 0.7678, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5907, root_relative_squared_error: 1.2394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2007, mean_absolute_error: 0.349, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9331, recall: 0.651, relative_absolute_error: 0.7678, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5907, root_relative_squared_error: 1.2394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2007, mean_absolute_error: 0.349, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9331, recall: 0.651, relative_absolute_error: 0.7678, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5907, root_relative_squared_error: 1.2394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2007, mean_absolute_error: 0.349, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9331, recall: 0.651, relative_absolute_error: 0.7678, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5907, root_relative_squared_error: 1.2394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6532, f_measure: 0.6898, kappa: 0.3118, kb_relative_information_score: 0.2962, mean_absolute_error: 0.3073, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6878, predictive_accuracy: 0.6927, prior_entropy: 0.9331, recall: 0.6927, relative_absolute_error: 0.6761, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5543, root_relative_squared_error: 1.163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6554, f_measure: 0.698, kappa: 0.3243, kb_relative_information_score: 0.326, mean_absolute_error: 0.2943, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6961, predictive_accuracy: 0.7057, prior_entropy: 0.9331, recall: 0.7057, relative_absolute_error: 0.6475, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5425, root_relative_squared_error: 1.1381,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2007, mean_absolute_error: 0.349, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9331, recall: 0.651, relative_absolute_error: 0.7678, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5907, root_relative_squared_error: 1.2394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4929, f_measure: 0.5107, kappa: -0.0184, kb_relative_information_score: 0.1769, mean_absolute_error: 0.3594, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4566, predictive_accuracy: 0.6406, prior_entropy: 0.9331, recall: 0.6406, relative_absolute_error: 0.7907, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5995, root_relative_squared_error: 1.2577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.612, f_measure: 0.6594, kappa: 0.236, kb_relative_information_score: 0.2455, mean_absolute_error: 0.3294, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6564, predictive_accuracy: 0.6706, prior_entropy: 0.9331, recall: 0.6706, relative_absolute_error: 0.7248, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.574, root_relative_squared_error: 1.2042,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6808, f_measure: 0.7287, kappa: 0.3892, kb_relative_information_score: 0.4095, mean_absolute_error: 0.2578, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7346, predictive_accuracy: 0.7422, prior_entropy: 0.9331, recall: 0.7422, relative_absolute_error: 0.5673, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5078, root_relative_squared_error: 1.0653,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.721, f_measure: 0.7625, kappa: 0.467, kb_relative_information_score: 0.4751, mean_absolute_error: 0.2292, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7656, predictive_accuracy: 0.7708, prior_entropy: 0.9331, recall: 0.7708, relative_absolute_error: 0.5042, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4787, root_relative_squared_error: 1.0043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7, f_measure: 0.7474, kappa: 0.4314, kb_relative_information_score: 0.4512, mean_absolute_error: 0.2396, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7558, predictive_accuracy: 0.7604, prior_entropy: 0.9331, recall: 0.7604, relative_absolute_error: 0.5271, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4895, root_relative_squared_error: 1.0269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7053, f_measure: 0.7506, kappa: 0.4392, kb_relative_information_score: 0.4542, mean_absolute_error: 0.2383, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7563, predictive_accuracy: 0.7617, prior_entropy: 0.9331, recall: 0.7617, relative_absolute_error: 0.5243, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4881, root_relative_squared_error: 1.0241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2007, mean_absolute_error: 0.349, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9331, recall: 0.651, relative_absolute_error: 0.7678, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5907, root_relative_squared_error: 1.2394,

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

OpenML bootcamp

From your own software

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

OpenML APIs