Task
Supervised Classification on blood-transfusion-service-center

Supervised Classification on blood-transfusion-service-center

Task 10101 Supervised Classification blood-transfusion-service-center 386305 runs submitted
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  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_218 study_50 study_7 study_98 study_99
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6594, f_measure: 0.7218, kappa: 0.1717, kb_relative_information_score: 0.0951, mean_absolute_error: 0.3279, mean_prior_absolute_error: 0.363, weighted_recall: 0.7727, number_of_instances: 748, precision: 0.7373, predictive_accuracy: 0.7727, prior_entropy: 0.7916, relative_absolute_error: 0.9032, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4054, root_relative_squared_error: 0.9521, unweighted_recall: 0.565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6658, f_measure: 0.7021, kappa: 0.1214, kb_relative_information_score: -0.0345, mean_absolute_error: 0.3526, mean_prior_absolute_error: 0.363, weighted_recall: 0.738, number_of_instances: 748, precision: 0.6904, predictive_accuracy: 0.738, prior_entropy: 0.7916, relative_absolute_error: 0.9712, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4236, root_relative_squared_error: 0.9948, unweighted_recall: 0.5499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6873, f_measure: 0.6927, kappa: 0.0865, kb_relative_information_score: 0.0545, mean_absolute_error: 0.3441, mean_prior_absolute_error: 0.363, weighted_recall: 0.7647, number_of_instances: 748, precision: 0.717, predictive_accuracy: 0.7647, prior_entropy: 0.7916, relative_absolute_error: 0.9478, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4114, root_relative_squared_error: 0.966, unweighted_recall: 0.5307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5036, f_measure: 0.6616, kappa: 0.0059, kb_relative_information_score: -0.0025, mean_absolute_error: 0.3623, mean_prior_absolute_error: 0.363, weighted_recall: 0.762, number_of_instances: 748, precision: 0.7002, predictive_accuracy: 0.762, prior_entropy: 0.7916, relative_absolute_error: 0.998, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4256, root_relative_squared_error: 0.9995, unweighted_recall: 0.5019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7185, f_measure: 0.6813, kappa: 0.0586, kb_relative_information_score: 0.053, mean_absolute_error: 0.3444, mean_prior_absolute_error: 0.363, weighted_recall: 0.7687, number_of_instances: 748, precision: 0.7593, predictive_accuracy: 0.7687, prior_entropy: 0.7916, relative_absolute_error: 0.9487, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4119, root_relative_squared_error: 0.9672, unweighted_recall: 0.5198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5684, f_measure: 0.6702, kappa: 0.0284, kb_relative_information_score: 0.0139, mean_absolute_error: 0.3585, mean_prior_absolute_error: 0.363, weighted_recall: 0.7647, number_of_instances: 748, precision: 0.742, predictive_accuracy: 0.7647, prior_entropy: 0.7916, relative_absolute_error: 0.9874, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4236, root_relative_squared_error: 0.9946, unweighted_recall: 0.5095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6673, f_measure: 0.6596, kappa: -0.0021, kb_relative_information_score: 0.0038, mean_absolute_error: 0.3589, mean_prior_absolute_error: 0.363, weighted_recall: 0.758, number_of_instances: 748, precision: 0.6281, predictive_accuracy: 0.758, prior_entropy: 0.7916, relative_absolute_error: 0.9886, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4242, root_relative_squared_error: 0.9961, unweighted_recall: 0.4993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7516, f_measure: 0.7074, kappa: 0.1291, kb_relative_information_score: 0.0982, mean_absolute_error: 0.3089, mean_prior_absolute_error: 0.363, weighted_recall: 0.7714, number_of_instances: 748, precision: 0.737, predictive_accuracy: 0.7714, prior_entropy: 0.7916, relative_absolute_error: 0.8509, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3928, root_relative_squared_error: 0.9224, unweighted_recall: 0.5467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7532, f_measure: 0.7179, kappa: 0.16, kb_relative_information_score: 0.1023, mean_absolute_error: 0.3075, mean_prior_absolute_error: 0.363, weighted_recall: 0.7754, number_of_instances: 748, precision: 0.7453, predictive_accuracy: 0.7754, prior_entropy: 0.7916, relative_absolute_error: 0.847, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3926, root_relative_squared_error: 0.9219, unweighted_recall: 0.559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7516, f_measure: 0.7074, kappa: 0.1291, kb_relative_information_score: 0.098, mean_absolute_error: 0.309, mean_prior_absolute_error: 0.363, weighted_recall: 0.7714, number_of_instances: 748, precision: 0.737, predictive_accuracy: 0.7714, prior_entropy: 0.7916, relative_absolute_error: 0.8511, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3928, root_relative_squared_error: 0.9224, unweighted_recall: 0.5467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7516, f_measure: 0.7074, kappa: 0.1291, kb_relative_information_score: 0.0982, mean_absolute_error: 0.3089, mean_prior_absolute_error: 0.363, weighted_recall: 0.7714, number_of_instances: 748, precision: 0.737, predictive_accuracy: 0.7714, prior_entropy: 0.7916, relative_absolute_error: 0.8509, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3928, root_relative_squared_error: 0.9224, unweighted_recall: 0.5467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7519, f_measure: 0.7076, kappa: 0.1309, kb_relative_information_score: -0.1779, mean_absolute_error: 0.3864, mean_prior_absolute_error: 0.363, weighted_recall: 0.7767, number_of_instances: 748, precision: 0.7614, predictive_accuracy: 0.7767, prior_entropy: 0.7916, relative_absolute_error: 1.0644, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4139, root_relative_squared_error: 0.9719, unweighted_recall: 0.5464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.753, f_measure: 0.7023, kappa: 0.1142, kb_relative_information_score: 0.072, mean_absolute_error: 0.3188, mean_prior_absolute_error: 0.363, weighted_recall: 0.7687, number_of_instances: 748, precision: 0.7296, predictive_accuracy: 0.7687, prior_entropy: 0.7916, relative_absolute_error: 0.8782, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3935, root_relative_squared_error: 0.9241, unweighted_recall: 0.5411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7516, f_measure: 0.7074, kappa: 0.1291, kb_relative_information_score: 0.0982, mean_absolute_error: 0.3089, mean_prior_absolute_error: 0.363, weighted_recall: 0.7714, number_of_instances: 748, precision: 0.737, predictive_accuracy: 0.7714, prior_entropy: 0.7916, relative_absolute_error: 0.851, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3928, root_relative_squared_error: 0.9224, unweighted_recall: 0.5467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7519, f_measure: 0.7074, kappa: 0.1291, kb_relative_information_score: 0.0971, mean_absolute_error: 0.3096, mean_prior_absolute_error: 0.363, weighted_recall: 0.7714, number_of_instances: 748, precision: 0.737, predictive_accuracy: 0.7714, prior_entropy: 0.7916, relative_absolute_error: 0.8527, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3928, root_relative_squared_error: 0.9225, unweighted_recall: 0.5467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7516, f_measure: 0.7074, kappa: 0.1291, kb_relative_information_score: 0.0982, mean_absolute_error: 0.3089, mean_prior_absolute_error: 0.363, weighted_recall: 0.7714, number_of_instances: 748, precision: 0.737, predictive_accuracy: 0.7714, prior_entropy: 0.7916, relative_absolute_error: 0.8509, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3928, root_relative_squared_error: 0.9224, unweighted_recall: 0.5467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7516, f_measure: 0.7074, kappa: 0.1291, kb_relative_information_score: 0.0981, mean_absolute_error: 0.309, mean_prior_absolute_error: 0.363, weighted_recall: 0.7714, number_of_instances: 748, precision: 0.737, predictive_accuracy: 0.7714, prior_entropy: 0.7916, relative_absolute_error: 0.8511, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3928, root_relative_squared_error: 0.9224, unweighted_recall: 0.5467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7516, f_measure: 0.7074, kappa: 0.1291, kb_relative_information_score: 0.0982, mean_absolute_error: 0.3089, mean_prior_absolute_error: 0.363, weighted_recall: 0.7714, number_of_instances: 748, precision: 0.737, predictive_accuracy: 0.7714, prior_entropy: 0.7916, relative_absolute_error: 0.8509, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3928, root_relative_squared_error: 0.9224, unweighted_recall: 0.5467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7532, f_measure: 0.7179, kappa: 0.16, kb_relative_information_score: 0.1023, mean_absolute_error: 0.3075, mean_prior_absolute_error: 0.363, weighted_recall: 0.7754, number_of_instances: 748, precision: 0.7453, predictive_accuracy: 0.7754, prior_entropy: 0.7916, relative_absolute_error: 0.847, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3926, root_relative_squared_error: 0.9219, unweighted_recall: 0.559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7516, f_measure: 0.7074, kappa: 0.1291, kb_relative_information_score: 0.098, mean_absolute_error: 0.309, mean_prior_absolute_error: 0.363, weighted_recall: 0.7714, number_of_instances: 748, precision: 0.737, predictive_accuracy: 0.7714, prior_entropy: 0.7916, relative_absolute_error: 0.8511, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3928, root_relative_squared_error: 0.9224, unweighted_recall: 0.5467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7516, f_measure: 0.7074, kappa: 0.1291, kb_relative_information_score: 0.0982, mean_absolute_error: 0.3089, mean_prior_absolute_error: 0.363, weighted_recall: 0.7714, number_of_instances: 748, precision: 0.737, predictive_accuracy: 0.7714, prior_entropy: 0.7916, relative_absolute_error: 0.8509, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3928, root_relative_squared_error: 0.9224, unweighted_recall: 0.5467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7519, f_measure: 0.7076, kappa: 0.1309, kb_relative_information_score: -0.1779, mean_absolute_error: 0.3864, mean_prior_absolute_error: 0.363, weighted_recall: 0.7767, number_of_instances: 748, precision: 0.7614, predictive_accuracy: 0.7767, prior_entropy: 0.7916, relative_absolute_error: 1.0644, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4139, root_relative_squared_error: 0.9719, unweighted_recall: 0.5464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7532, f_measure: 0.7032, kappa: 0.1177, kb_relative_information_score: 0.0887, mean_absolute_error: 0.3145, mean_prior_absolute_error: 0.363, weighted_recall: 0.7727, number_of_instances: 748, precision: 0.7457, predictive_accuracy: 0.7727, prior_entropy: 0.7916, relative_absolute_error: 0.8663, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3936, root_relative_squared_error: 0.9242, unweighted_recall: 0.5418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.753, f_measure: 0.7023, kappa: 0.1142, kb_relative_information_score: 0.072, mean_absolute_error: 0.3188, mean_prior_absolute_error: 0.363, weighted_recall: 0.7687, number_of_instances: 748, precision: 0.7296, predictive_accuracy: 0.7687, prior_entropy: 0.7916, relative_absolute_error: 0.8782, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3935, root_relative_squared_error: 0.9241, unweighted_recall: 0.5411,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7521, f_measure: 0.7074, kappa: 0.1291, kb_relative_information_score: 0.0938, mean_absolute_error: 0.3107, mean_prior_absolute_error: 0.363, weighted_recall: 0.7714, number_of_instances: 748, precision: 0.737, predictive_accuracy: 0.7714, prior_entropy: 0.7916, relative_absolute_error: 0.8558, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3929, root_relative_squared_error: 0.9226, unweighted_recall: 0.5467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7535, f_measure: 0.7306, kappa: 0.1982, kb_relative_information_score: 0.1061, mean_absolute_error: 0.3065, mean_prior_absolute_error: 0.363, weighted_recall: 0.7794, number_of_instances: 748, precision: 0.7512, predictive_accuracy: 0.7794, prior_entropy: 0.7916, relative_absolute_error: 0.8443, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3929, root_relative_squared_error: 0.9226, unweighted_recall: 0.5752,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7519, f_measure: 0.7074, kappa: 0.1291, kb_relative_information_score: 0.0971, mean_absolute_error: 0.3096, mean_prior_absolute_error: 0.363, weighted_recall: 0.7714, number_of_instances: 748, precision: 0.737, predictive_accuracy: 0.7714, prior_entropy: 0.7916, relative_absolute_error: 0.8527, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3928, root_relative_squared_error: 0.9225, unweighted_recall: 0.5467,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.753, f_measure: 0.6784, kappa: 0.0504, kb_relative_information_score: 0.0549, mean_absolute_error: 0.3346, mean_prior_absolute_error: 0.363, weighted_recall: 0.7674, number_of_instances: 748, precision: 0.752, predictive_accuracy: 0.7674, prior_entropy: 0.7916, relative_absolute_error: 0.9215, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4019, root_relative_squared_error: 0.9438, unweighted_recall: 0.517,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7521, f_measure: 0.7074, kappa: 0.1291, kb_relative_information_score: 0.0938, mean_absolute_error: 0.3107, mean_prior_absolute_error: 0.363, weighted_recall: 0.7714, number_of_instances: 748, precision: 0.737, predictive_accuracy: 0.7714, prior_entropy: 0.7916, relative_absolute_error: 0.8558, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3929, root_relative_squared_error: 0.9226, unweighted_recall: 0.5467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7521, f_measure: 0.7074, kappa: 0.1291, kb_relative_information_score: 0.0937, mean_absolute_error: 0.3107, mean_prior_absolute_error: 0.363, weighted_recall: 0.7714, number_of_instances: 748, precision: 0.737, predictive_accuracy: 0.7714, prior_entropy: 0.7916, relative_absolute_error: 0.8559, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3929, root_relative_squared_error: 0.9226, unweighted_recall: 0.5467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7516, f_measure: 0.7074, kappa: 0.1291, kb_relative_information_score: 0.0982, mean_absolute_error: 0.3089, mean_prior_absolute_error: 0.363, weighted_recall: 0.7714, number_of_instances: 748, precision: 0.737, predictive_accuracy: 0.7714, prior_entropy: 0.7916, relative_absolute_error: 0.8509, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3928, root_relative_squared_error: 0.9224, unweighted_recall: 0.5467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7274, kb_relative_information_score: 0.0144, mean_absolute_error: 0.3562, mean_prior_absolute_error: 0.363, weighted_recall: 0.762, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7916, relative_absolute_error: 0.9812, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4189, root_relative_squared_error: 0.9837, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.753, f_measure: 0.6784, kappa: 0.0504, kb_relative_information_score: 0.0549, mean_absolute_error: 0.3346, mean_prior_absolute_error: 0.363, weighted_recall: 0.7674, number_of_instances: 748, precision: 0.752, predictive_accuracy: 0.7674, prior_entropy: 0.7916, relative_absolute_error: 0.9215, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4019, root_relative_squared_error: 0.9438, unweighted_recall: 0.517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7516, f_measure: 0.7074, kappa: 0.1291, kb_relative_information_score: 0.0982, mean_absolute_error: 0.3089, mean_prior_absolute_error: 0.363, weighted_recall: 0.7714, number_of_instances: 748, precision: 0.737, predictive_accuracy: 0.7714, prior_entropy: 0.7916, relative_absolute_error: 0.8509, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3928, root_relative_squared_error: 0.9224, unweighted_recall: 0.5467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7516, f_measure: 0.7074, kappa: 0.1291, kb_relative_information_score: 0.0982, mean_absolute_error: 0.3089, mean_prior_absolute_error: 0.363, weighted_recall: 0.7714, number_of_instances: 748, precision: 0.737, predictive_accuracy: 0.7714, prior_entropy: 0.7916, relative_absolute_error: 0.8509, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3928, root_relative_squared_error: 0.9224, unweighted_recall: 0.5467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7274, kb_relative_information_score: 0.0144, mean_absolute_error: 0.3562, mean_prior_absolute_error: 0.363, weighted_recall: 0.762, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7916, relative_absolute_error: 0.9812, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4189, root_relative_squared_error: 0.9837, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7521, f_measure: 0.7074, kappa: 0.1291, kb_relative_information_score: 0.0937, mean_absolute_error: 0.3107, mean_prior_absolute_error: 0.363, weighted_recall: 0.7714, number_of_instances: 748, precision: 0.737, predictive_accuracy: 0.7714, prior_entropy: 0.7916, relative_absolute_error: 0.8559, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3929, root_relative_squared_error: 0.9226, unweighted_recall: 0.5467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7274, kb_relative_information_score: 0.0144, mean_absolute_error: 0.3562, mean_prior_absolute_error: 0.363, weighted_recall: 0.762, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7916, relative_absolute_error: 0.9812, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4189, root_relative_squared_error: 0.9837, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7521, f_measure: 0.7074, kappa: 0.1291, kb_relative_information_score: 0.0937, mean_absolute_error: 0.3107, mean_prior_absolute_error: 0.363, weighted_recall: 0.7714, number_of_instances: 748, precision: 0.737, predictive_accuracy: 0.7714, prior_entropy: 0.7916, relative_absolute_error: 0.8559, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3929, root_relative_squared_error: 0.9226, unweighted_recall: 0.5467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7532, f_measure: 0.7032, kappa: 0.1177, kb_relative_information_score: 0.0887, mean_absolute_error: 0.3145, mean_prior_absolute_error: 0.363, weighted_recall: 0.7727, number_of_instances: 748, precision: 0.7457, predictive_accuracy: 0.7727, prior_entropy: 0.7916, relative_absolute_error: 0.8663, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3936, root_relative_squared_error: 0.9242, unweighted_recall: 0.5418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7521, f_measure: 0.7074, kappa: 0.1291, kb_relative_information_score: 0.0937, mean_absolute_error: 0.3107, mean_prior_absolute_error: 0.363, weighted_recall: 0.7714, number_of_instances: 748, precision: 0.737, predictive_accuracy: 0.7714, prior_entropy: 0.7916, relative_absolute_error: 0.8559, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3929, root_relative_squared_error: 0.9226, unweighted_recall: 0.5467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7521, f_measure: 0.7074, kappa: 0.1291, kb_relative_information_score: 0.0937, mean_absolute_error: 0.3107, mean_prior_absolute_error: 0.363, weighted_recall: 0.7714, number_of_instances: 748, precision: 0.737, predictive_accuracy: 0.7714, prior_entropy: 0.7916, relative_absolute_error: 0.8559, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3929, root_relative_squared_error: 0.9226, unweighted_recall: 0.5467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7521, f_measure: 0.7074, kappa: 0.1291, kb_relative_information_score: 0.0937, mean_absolute_error: 0.3107, mean_prior_absolute_error: 0.363, weighted_recall: 0.7714, number_of_instances: 748, precision: 0.737, predictive_accuracy: 0.7714, prior_entropy: 0.7916, relative_absolute_error: 0.8559, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3929, root_relative_squared_error: 0.9226, unweighted_recall: 0.5467,

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