Task
Supervised Classification on blood-transfusion-service-center

Supervised Classification on blood-transfusion-service-center

Task 10101 Supervised Classification blood-transfusion-service-center 387150 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: 0.5134, f_measure: 0.6764, kappa: 0.0373, kb_relative_information_score: 0.223, mean_absolute_error: 0.25, mean_prior_absolute_error: 0.363, weighted_recall: 0.75, number_of_instances: 748, precision: 0.669, predictive_accuracy: 0.75, prior_entropy: 0.7916, relative_absolute_error: 0.6886, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.5, root_relative_squared_error: 1.1742, unweighted_recall: 0.5134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.578, f_measure: 0.6966, kappa: 0.1364, kb_relative_information_score: 0.0401, mean_absolute_error: 0.3136, mean_prior_absolute_error: 0.363, weighted_recall: 0.7086, number_of_instances: 748, precision: 0.6878, predictive_accuracy: 0.7086, prior_entropy: 0.7916, relative_absolute_error: 0.8639, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.5253, root_relative_squared_error: 1.2335, unweighted_recall: 0.5634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7008, f_measure: 0.7185, kappa: 0.1616, kb_relative_information_score: 0.1104, mean_absolute_error: 0.2972, mean_prior_absolute_error: 0.363, weighted_recall: 0.7741, number_of_instances: 748, precision: 0.7411, predictive_accuracy: 0.7741, prior_entropy: 0.7916, relative_absolute_error: 0.8186, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4087, root_relative_squared_error: 0.9598, unweighted_recall: 0.5601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6578, f_measure: 0.7135, kappa: 0.199, kb_relative_information_score: 0.0032, mean_absolute_error: 0.3128, mean_prior_absolute_error: 0.363, weighted_recall: 0.7179, number_of_instances: 748, precision: 0.7097, predictive_accuracy: 0.7179, prior_entropy: 0.7916, relative_absolute_error: 0.8617, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4554, root_relative_squared_error: 1.0694, unweighted_recall: 0.5966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6836, f_measure: 0.7308, kappa: 0.2238, kb_relative_information_score: 0.0972, mean_absolute_error: 0.3017, mean_prior_absolute_error: 0.363, weighted_recall: 0.7473, number_of_instances: 748, precision: 0.7225, predictive_accuracy: 0.7473, prior_entropy: 0.7916, relative_absolute_error: 0.8311, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4276, root_relative_squared_error: 1.004, unweighted_recall: 0.6005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7594, f_measure: 0.7822, kappa: 0.3605, kb_relative_information_score: 0.1589, mean_absolute_error: 0.295, mean_prior_absolute_error: 0.363, weighted_recall: 0.8048, number_of_instances: 748, precision: 0.7874, predictive_accuracy: 0.8048, prior_entropy: 0.7916, relative_absolute_error: 0.8125, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3864, root_relative_squared_error: 0.9075, unweighted_recall: 0.6517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7001, f_measure: 0.7365, kappa: 0.2345, kb_relative_information_score: 0.1135, mean_absolute_error: 0.298, mean_prior_absolute_error: 0.363, weighted_recall: 0.7567, number_of_instances: 748, precision: 0.729, predictive_accuracy: 0.7567, prior_entropy: 0.7916, relative_absolute_error: 0.8209, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4207, root_relative_squared_error: 0.9879, unweighted_recall: 0.6027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6423, f_measure: 0.718, kappa: 0.1828, kb_relative_information_score: 0.0738, mean_absolute_error: 0.3053, mean_prior_absolute_error: 0.363, weighted_recall: 0.738, number_of_instances: 748, precision: 0.708, predictive_accuracy: 0.738, prior_entropy: 0.7916, relative_absolute_error: 0.8408, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4578, root_relative_squared_error: 1.0752, unweighted_recall: 0.5808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7135, f_measure: 0.7444, kappa: 0.2493, kb_relative_information_score: 0.1257, mean_absolute_error: 0.3014, mean_prior_absolute_error: 0.363, weighted_recall: 0.7714, number_of_instances: 748, precision: 0.7416, predictive_accuracy: 0.7714, prior_entropy: 0.7916, relative_absolute_error: 0.8303, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.402, root_relative_squared_error: 0.9441, unweighted_recall: 0.6047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7167, f_measure: 0.7743, kappa: 0.3371, kb_relative_information_score: -0.6815, mean_absolute_error: 0.4934, mean_prior_absolute_error: 0.363, weighted_recall: 0.7981, number_of_instances: 748, precision: 0.7783, predictive_accuracy: 0.7981, prior_entropy: 0.7916, relative_absolute_error: 1.359, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4937, root_relative_squared_error: 1.1594, unweighted_recall: 0.6415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6881, f_measure: 0.7303, kappa: 0.2196, kb_relative_information_score: 0.0854, mean_absolute_error: 0.3036, mean_prior_absolute_error: 0.363, weighted_recall: 0.7487, number_of_instances: 748, precision: 0.7218, predictive_accuracy: 0.7487, prior_entropy: 0.7916, relative_absolute_error: 0.8363, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4285, root_relative_squared_error: 1.0064, unweighted_recall: 0.5975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5723, f_measure: 0.7283, kappa: 0.1912, kb_relative_information_score: 0.3103, mean_absolute_error: 0.2219, mean_prior_absolute_error: 0.363, weighted_recall: 0.7781, number_of_instances: 748, precision: 0.7486, predictive_accuracy: 0.7781, prior_entropy: 0.7916, relative_absolute_error: 0.6113, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4711, root_relative_squared_error: 1.1063, unweighted_recall: 0.5723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7008, f_measure: 0.7128, kappa: 0.1502, kb_relative_information_score: 0.1399, mean_absolute_error: 0.2896, mean_prior_absolute_error: 0.363, weighted_recall: 0.7513, number_of_instances: 748, precision: 0.7062, predictive_accuracy: 0.7513, prior_entropy: 0.7916, relative_absolute_error: 0.7978, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4302, root_relative_squared_error: 1.0102, unweighted_recall: 0.5606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5882, f_measure: 0.7029, kappa: 0.1557, kb_relative_information_score: 0.0523, mean_absolute_error: 0.3094, mean_prior_absolute_error: 0.363, weighted_recall: 0.7139, number_of_instances: 748, precision: 0.6948, predictive_accuracy: 0.7139, prior_entropy: 0.7916, relative_absolute_error: 0.8521, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.521, root_relative_squared_error: 1.2234, unweighted_recall: 0.5727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6985, f_measure: 0.7528, kappa: 0.2823, kb_relative_information_score: 0.0823, mean_absolute_error: 0.3005, mean_prior_absolute_error: 0.363, weighted_recall: 0.7714, number_of_instances: 748, precision: 0.7474, predictive_accuracy: 0.7714, prior_entropy: 0.7916, relative_absolute_error: 0.8278, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4184, root_relative_squared_error: 0.9826, unweighted_recall: 0.624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5662, f_measure: 0.7116, kappa: 0.1556, kb_relative_information_score: 0.1898, mean_absolute_error: 0.2607, mean_prior_absolute_error: 0.363, weighted_recall: 0.7393, number_of_instances: 748, precision: 0.7008, predictive_accuracy: 0.7393, prior_entropy: 0.7916, relative_absolute_error: 0.7181, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.5106, root_relative_squared_error: 1.199, unweighted_recall: 0.5662,
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: 0.7594, f_measure: 0.7822, kappa: 0.3605, kb_relative_information_score: 0.1589, mean_absolute_error: 0.295, mean_prior_absolute_error: 0.363, weighted_recall: 0.8048, number_of_instances: 748, precision: 0.7874, predictive_accuracy: 0.8048, prior_entropy: 0.7916, relative_absolute_error: 0.8125, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3864, root_relative_squared_error: 0.9075, unweighted_recall: 0.6517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7001, f_measure: 0.7365, kappa: 0.2345, kb_relative_information_score: 0.1135, mean_absolute_error: 0.298, mean_prior_absolute_error: 0.363, weighted_recall: 0.7567, number_of_instances: 748, precision: 0.729, predictive_accuracy: 0.7567, prior_entropy: 0.7916, relative_absolute_error: 0.8209, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4207, root_relative_squared_error: 0.9879, unweighted_recall: 0.6027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6423, f_measure: 0.718, kappa: 0.1828, kb_relative_information_score: 0.0738, mean_absolute_error: 0.3053, mean_prior_absolute_error: 0.363, weighted_recall: 0.738, number_of_instances: 748, precision: 0.708, predictive_accuracy: 0.738, prior_entropy: 0.7916, relative_absolute_error: 0.8408, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4578, root_relative_squared_error: 1.0752, unweighted_recall: 0.5808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7135, f_measure: 0.7444, kappa: 0.2493, kb_relative_information_score: 0.1257, mean_absolute_error: 0.3014, mean_prior_absolute_error: 0.363, weighted_recall: 0.7714, number_of_instances: 748, precision: 0.7416, predictive_accuracy: 0.7714, prior_entropy: 0.7916, relative_absolute_error: 0.8303, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.402, root_relative_squared_error: 0.9441, unweighted_recall: 0.6047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7167, f_measure: 0.7743, kappa: 0.3371, kb_relative_information_score: -0.6815, mean_absolute_error: 0.4934, mean_prior_absolute_error: 0.363, weighted_recall: 0.7981, number_of_instances: 748, precision: 0.7783, predictive_accuracy: 0.7981, prior_entropy: 0.7916, relative_absolute_error: 1.359, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4937, root_relative_squared_error: 1.1594, unweighted_recall: 0.6415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6881, f_measure: 0.7303, kappa: 0.2196, kb_relative_information_score: 0.0854, mean_absolute_error: 0.3036, mean_prior_absolute_error: 0.363, weighted_recall: 0.7487, number_of_instances: 748, precision: 0.7218, predictive_accuracy: 0.7487, prior_entropy: 0.7916, relative_absolute_error: 0.8363, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4285, root_relative_squared_error: 1.0064, unweighted_recall: 0.5975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5723, f_measure: 0.7283, kappa: 0.1912, kb_relative_information_score: 0.3103, mean_absolute_error: 0.2219, mean_prior_absolute_error: 0.363, weighted_recall: 0.7781, number_of_instances: 748, precision: 0.7486, predictive_accuracy: 0.7781, prior_entropy: 0.7916, relative_absolute_error: 0.6113, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4711, root_relative_squared_error: 1.1063, unweighted_recall: 0.5723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7008, f_measure: 0.7128, kappa: 0.1502, kb_relative_information_score: 0.1399, mean_absolute_error: 0.2896, mean_prior_absolute_error: 0.363, weighted_recall: 0.7513, number_of_instances: 748, precision: 0.7062, predictive_accuracy: 0.7513, prior_entropy: 0.7916, relative_absolute_error: 0.7978, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4302, root_relative_squared_error: 1.0102, unweighted_recall: 0.5606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5882, f_measure: 0.7029, kappa: 0.1557, kb_relative_information_score: 0.0523, mean_absolute_error: 0.3094, mean_prior_absolute_error: 0.363, weighted_recall: 0.7139, number_of_instances: 748, precision: 0.6948, predictive_accuracy: 0.7139, prior_entropy: 0.7916, relative_absolute_error: 0.8521, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.521, root_relative_squared_error: 1.2234, unweighted_recall: 0.5727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6985, f_measure: 0.7528, kappa: 0.2823, kb_relative_information_score: 0.0823, mean_absolute_error: 0.3005, mean_prior_absolute_error: 0.363, weighted_recall: 0.7714, number_of_instances: 748, precision: 0.7474, predictive_accuracy: 0.7714, prior_entropy: 0.7916, relative_absolute_error: 0.8278, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4184, root_relative_squared_error: 0.9826, unweighted_recall: 0.624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5662, f_measure: 0.7116, kappa: 0.1556, kb_relative_information_score: 0.1898, mean_absolute_error: 0.2607, mean_prior_absolute_error: 0.363, weighted_recall: 0.7393, number_of_instances: 748, precision: 0.7008, predictive_accuracy: 0.7393, prior_entropy: 0.7916, relative_absolute_error: 0.7181, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.5106, root_relative_squared_error: 1.199, unweighted_recall: 0.5662,
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: 0.7594, f_measure: 0.7822, kappa: 0.3605, kb_relative_information_score: 0.1589, mean_absolute_error: 0.295, mean_prior_absolute_error: 0.363, weighted_recall: 0.8048, number_of_instances: 748, precision: 0.7874, predictive_accuracy: 0.8048, prior_entropy: 0.7916, relative_absolute_error: 0.8125, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3864, root_relative_squared_error: 0.9075, unweighted_recall: 0.6517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7001, f_measure: 0.7365, kappa: 0.2345, kb_relative_information_score: 0.1135, mean_absolute_error: 0.298, mean_prior_absolute_error: 0.363, weighted_recall: 0.7567, number_of_instances: 748, precision: 0.729, predictive_accuracy: 0.7567, prior_entropy: 0.7916, relative_absolute_error: 0.8209, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4207, root_relative_squared_error: 0.9879, unweighted_recall: 0.6027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6423, f_measure: 0.718, kappa: 0.1828, kb_relative_information_score: 0.0738, mean_absolute_error: 0.3053, mean_prior_absolute_error: 0.363, weighted_recall: 0.738, number_of_instances: 748, precision: 0.708, predictive_accuracy: 0.738, prior_entropy: 0.7916, relative_absolute_error: 0.8408, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4578, root_relative_squared_error: 1.0752, unweighted_recall: 0.5808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7135, f_measure: 0.7444, kappa: 0.2493, kb_relative_information_score: 0.1257, mean_absolute_error: 0.3014, mean_prior_absolute_error: 0.363, weighted_recall: 0.7714, number_of_instances: 748, precision: 0.7416, predictive_accuracy: 0.7714, prior_entropy: 0.7916, relative_absolute_error: 0.8303, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.402, root_relative_squared_error: 0.9441, unweighted_recall: 0.6047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7167, f_measure: 0.7743, kappa: 0.3371, kb_relative_information_score: -0.6815, mean_absolute_error: 0.4934, mean_prior_absolute_error: 0.363, weighted_recall: 0.7981, number_of_instances: 748, precision: 0.7783, predictive_accuracy: 0.7981, prior_entropy: 0.7916, relative_absolute_error: 1.359, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4937, root_relative_squared_error: 1.1594, unweighted_recall: 0.6415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6881, f_measure: 0.7303, kappa: 0.2196, kb_relative_information_score: 0.0854, mean_absolute_error: 0.3036, mean_prior_absolute_error: 0.363, weighted_recall: 0.7487, number_of_instances: 748, precision: 0.7218, predictive_accuracy: 0.7487, prior_entropy: 0.7916, relative_absolute_error: 0.8363, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4285, root_relative_squared_error: 1.0064, unweighted_recall: 0.5975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5723, f_measure: 0.7283, kappa: 0.1912, kb_relative_information_score: 0.3103, mean_absolute_error: 0.2219, mean_prior_absolute_error: 0.363, weighted_recall: 0.7781, number_of_instances: 748, precision: 0.7486, predictive_accuracy: 0.7781, prior_entropy: 0.7916, relative_absolute_error: 0.6113, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4711, root_relative_squared_error: 1.1063, unweighted_recall: 0.5723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7008, f_measure: 0.7128, kappa: 0.1502, kb_relative_information_score: 0.1399, mean_absolute_error: 0.2896, mean_prior_absolute_error: 0.363, weighted_recall: 0.7513, number_of_instances: 748, precision: 0.7062, predictive_accuracy: 0.7513, prior_entropy: 0.7916, relative_absolute_error: 0.7978, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4302, root_relative_squared_error: 1.0102, unweighted_recall: 0.5606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5882, f_measure: 0.7029, kappa: 0.1557, kb_relative_information_score: 0.0523, mean_absolute_error: 0.3094, mean_prior_absolute_error: 0.363, weighted_recall: 0.7139, number_of_instances: 748, precision: 0.6948, predictive_accuracy: 0.7139, prior_entropy: 0.7916, relative_absolute_error: 0.8521, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.521, root_relative_squared_error: 1.2234, unweighted_recall: 0.5727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6985, f_measure: 0.7528, kappa: 0.2823, kb_relative_information_score: 0.0823, mean_absolute_error: 0.3005, mean_prior_absolute_error: 0.363, weighted_recall: 0.7714, number_of_instances: 748, precision: 0.7474, predictive_accuracy: 0.7714, prior_entropy: 0.7916, relative_absolute_error: 0.8278, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4184, root_relative_squared_error: 0.9826, unweighted_recall: 0.624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5662, f_measure: 0.7116, kappa: 0.1556, kb_relative_information_score: 0.1898, mean_absolute_error: 0.2607, mean_prior_absolute_error: 0.363, weighted_recall: 0.7393, number_of_instances: 748, precision: 0.7008, predictive_accuracy: 0.7393, prior_entropy: 0.7916, relative_absolute_error: 0.7181, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.5106, root_relative_squared_error: 1.199, unweighted_recall: 0.5662,
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: 0.7594, f_measure: 0.7822, kappa: 0.3605, kb_relative_information_score: 0.1589, mean_absolute_error: 0.295, mean_prior_absolute_error: 0.363, weighted_recall: 0.8048, number_of_instances: 748, precision: 0.7874, predictive_accuracy: 0.8048, prior_entropy: 0.7916, relative_absolute_error: 0.8125, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3864, root_relative_squared_error: 0.9075, unweighted_recall: 0.6517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7001, f_measure: 0.7365, kappa: 0.2345, kb_relative_information_score: 0.1135, mean_absolute_error: 0.298, mean_prior_absolute_error: 0.363, weighted_recall: 0.7567, number_of_instances: 748, precision: 0.729, predictive_accuracy: 0.7567, prior_entropy: 0.7916, relative_absolute_error: 0.8209, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4207, root_relative_squared_error: 0.9879, unweighted_recall: 0.6027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6423, f_measure: 0.718, kappa: 0.1828, kb_relative_information_score: 0.0738, mean_absolute_error: 0.3053, mean_prior_absolute_error: 0.363, weighted_recall: 0.738, number_of_instances: 748, precision: 0.708, predictive_accuracy: 0.738, prior_entropy: 0.7916, relative_absolute_error: 0.8408, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4578, root_relative_squared_error: 1.0752, unweighted_recall: 0.5808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7135, f_measure: 0.7444, kappa: 0.2493, kb_relative_information_score: 0.1257, mean_absolute_error: 0.3014, mean_prior_absolute_error: 0.363, weighted_recall: 0.7714, number_of_instances: 748, precision: 0.7416, predictive_accuracy: 0.7714, prior_entropy: 0.7916, relative_absolute_error: 0.8303, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.402, root_relative_squared_error: 0.9441, unweighted_recall: 0.6047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7167, f_measure: 0.7743, kappa: 0.3371, kb_relative_information_score: -0.6815, mean_absolute_error: 0.4934, mean_prior_absolute_error: 0.363, weighted_recall: 0.7981, number_of_instances: 748, precision: 0.7783, predictive_accuracy: 0.7981, prior_entropy: 0.7916, relative_absolute_error: 1.359, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4937, root_relative_squared_error: 1.1594, unweighted_recall: 0.6415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6881, f_measure: 0.7303, kappa: 0.2196, kb_relative_information_score: 0.0854, mean_absolute_error: 0.3036, mean_prior_absolute_error: 0.363, weighted_recall: 0.7487, number_of_instances: 748, precision: 0.7218, predictive_accuracy: 0.7487, prior_entropy: 0.7916, relative_absolute_error: 0.8363, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4285, root_relative_squared_error: 1.0064, unweighted_recall: 0.5975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5723, f_measure: 0.7283, kappa: 0.1912, kb_relative_information_score: 0.3103, mean_absolute_error: 0.2219, mean_prior_absolute_error: 0.363, weighted_recall: 0.7781, number_of_instances: 748, precision: 0.7486, predictive_accuracy: 0.7781, prior_entropy: 0.7916, relative_absolute_error: 0.6113, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4711, root_relative_squared_error: 1.1063, unweighted_recall: 0.5723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7008, f_measure: 0.7128, kappa: 0.1502, kb_relative_information_score: 0.1399, mean_absolute_error: 0.2896, mean_prior_absolute_error: 0.363, weighted_recall: 0.7513, number_of_instances: 748, precision: 0.7062, predictive_accuracy: 0.7513, prior_entropy: 0.7916, relative_absolute_error: 0.7978, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4302, root_relative_squared_error: 1.0102, unweighted_recall: 0.5606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5882, f_measure: 0.7029, kappa: 0.1557, kb_relative_information_score: 0.0523, mean_absolute_error: 0.3094, mean_prior_absolute_error: 0.363, weighted_recall: 0.7139, number_of_instances: 748, precision: 0.6948, predictive_accuracy: 0.7139, prior_entropy: 0.7916, relative_absolute_error: 0.8521, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.521, root_relative_squared_error: 1.2234, unweighted_recall: 0.5727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6985, f_measure: 0.7528, kappa: 0.2823, kb_relative_information_score: 0.0823, mean_absolute_error: 0.3005, mean_prior_absolute_error: 0.363, weighted_recall: 0.7714, number_of_instances: 748, precision: 0.7474, predictive_accuracy: 0.7714, prior_entropy: 0.7916, relative_absolute_error: 0.8278, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4184, root_relative_squared_error: 0.9826, unweighted_recall: 0.624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5662, f_measure: 0.7116, kappa: 0.1556, kb_relative_information_score: 0.1898, mean_absolute_error: 0.2607, mean_prior_absolute_error: 0.363, weighted_recall: 0.7393, number_of_instances: 748, precision: 0.7008, predictive_accuracy: 0.7393, prior_entropy: 0.7916, relative_absolute_error: 0.7181, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.5106, root_relative_squared_error: 1.199, unweighted_recall: 0.5662,
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: 0.7594, f_measure: 0.7822, kappa: 0.3605, kb_relative_information_score: 0.1589, mean_absolute_error: 0.295, mean_prior_absolute_error: 0.363, weighted_recall: 0.8048, number_of_instances: 748, precision: 0.7874, predictive_accuracy: 0.8048, prior_entropy: 0.7916, relative_absolute_error: 0.8125, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3864, root_relative_squared_error: 0.9075, unweighted_recall: 0.6517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7001, f_measure: 0.7365, kappa: 0.2345, kb_relative_information_score: 0.1135, mean_absolute_error: 0.298, mean_prior_absolute_error: 0.363, weighted_recall: 0.7567, number_of_instances: 748, precision: 0.729, predictive_accuracy: 0.7567, prior_entropy: 0.7916, relative_absolute_error: 0.8209, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4207, root_relative_squared_error: 0.9879, unweighted_recall: 0.6027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6423, f_measure: 0.718, kappa: 0.1828, kb_relative_information_score: 0.0738, mean_absolute_error: 0.3053, mean_prior_absolute_error: 0.363, weighted_recall: 0.738, number_of_instances: 748, precision: 0.708, predictive_accuracy: 0.738, prior_entropy: 0.7916, relative_absolute_error: 0.8408, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4578, root_relative_squared_error: 1.0752, unweighted_recall: 0.5808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7135, f_measure: 0.7444, kappa: 0.2493, kb_relative_information_score: 0.1257, mean_absolute_error: 0.3014, mean_prior_absolute_error: 0.363, weighted_recall: 0.7714, number_of_instances: 748, precision: 0.7416, predictive_accuracy: 0.7714, prior_entropy: 0.7916, relative_absolute_error: 0.8303, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.402, root_relative_squared_error: 0.9441, unweighted_recall: 0.6047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7167, f_measure: 0.7743, kappa: 0.3371, kb_relative_information_score: -0.6815, mean_absolute_error: 0.4934, mean_prior_absolute_error: 0.363, weighted_recall: 0.7981, number_of_instances: 748, precision: 0.7783, predictive_accuracy: 0.7981, prior_entropy: 0.7916, relative_absolute_error: 1.359, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4937, root_relative_squared_error: 1.1594, unweighted_recall: 0.6415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6881, f_measure: 0.7303, kappa: 0.2196, kb_relative_information_score: 0.0854, mean_absolute_error: 0.3036, mean_prior_absolute_error: 0.363, weighted_recall: 0.7487, number_of_instances: 748, precision: 0.7218, predictive_accuracy: 0.7487, prior_entropy: 0.7916, relative_absolute_error: 0.8363, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4285, root_relative_squared_error: 1.0064, unweighted_recall: 0.5975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5723, f_measure: 0.7283, kappa: 0.1912, kb_relative_information_score: 0.3103, mean_absolute_error: 0.2219, mean_prior_absolute_error: 0.363, weighted_recall: 0.7781, number_of_instances: 748, precision: 0.7486, predictive_accuracy: 0.7781, prior_entropy: 0.7916, relative_absolute_error: 0.6113, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4711, root_relative_squared_error: 1.1063, unweighted_recall: 0.5723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7008, f_measure: 0.7128, kappa: 0.1502, kb_relative_information_score: 0.1399, mean_absolute_error: 0.2896, mean_prior_absolute_error: 0.363, weighted_recall: 0.7513, number_of_instances: 748, precision: 0.7062, predictive_accuracy: 0.7513, prior_entropy: 0.7916, relative_absolute_error: 0.7978, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4302, root_relative_squared_error: 1.0102, unweighted_recall: 0.5606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5882, f_measure: 0.7029, kappa: 0.1557, kb_relative_information_score: 0.0523, mean_absolute_error: 0.3094, mean_prior_absolute_error: 0.363, weighted_recall: 0.7139, number_of_instances: 748, precision: 0.6948, predictive_accuracy: 0.7139, prior_entropy: 0.7916, relative_absolute_error: 0.8521, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.521, root_relative_squared_error: 1.2234, unweighted_recall: 0.5727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6985, f_measure: 0.7528, kappa: 0.2823, kb_relative_information_score: 0.0823, mean_absolute_error: 0.3005, mean_prior_absolute_error: 0.363, weighted_recall: 0.7714, number_of_instances: 748, precision: 0.7474, predictive_accuracy: 0.7714, prior_entropy: 0.7916, relative_absolute_error: 0.8278, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4184, root_relative_squared_error: 0.9826, unweighted_recall: 0.624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5662, f_measure: 0.7116, kappa: 0.1556, kb_relative_information_score: 0.1898, mean_absolute_error: 0.2607, mean_prior_absolute_error: 0.363, weighted_recall: 0.7393, number_of_instances: 748, precision: 0.7008, predictive_accuracy: 0.7393, prior_entropy: 0.7916, relative_absolute_error: 0.7181, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.5106, root_relative_squared_error: 1.199, unweighted_recall: 0.5662,
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: 0.76, f_measure: 0.7826, kappa: 0.3634, kb_relative_information_score: 0.159, mean_absolute_error: 0.2947, mean_prior_absolute_error: 0.363, weighted_recall: 0.8035, number_of_instances: 748, precision: 0.7856, predictive_accuracy: 0.8035, prior_entropy: 0.7916, relative_absolute_error: 0.8117, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3856, root_relative_squared_error: 0.9054, unweighted_recall: 0.6547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7001, f_measure: 0.7365, kappa: 0.2345, kb_relative_information_score: 0.1135, mean_absolute_error: 0.298, mean_prior_absolute_error: 0.363, weighted_recall: 0.7567, number_of_instances: 748, precision: 0.729, predictive_accuracy: 0.7567, prior_entropy: 0.7916, relative_absolute_error: 0.8209, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4207, root_relative_squared_error: 0.9879, unweighted_recall: 0.6027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6411, f_measure: 0.718, kappa: 0.1828, kb_relative_information_score: 0.0709, mean_absolute_error: 0.3064, mean_prior_absolute_error: 0.363, weighted_recall: 0.738, number_of_instances: 748, precision: 0.708, predictive_accuracy: 0.738, prior_entropy: 0.7916, relative_absolute_error: 0.8439, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4589, root_relative_squared_error: 1.0776, unweighted_recall: 0.5808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7136, f_measure: 0.7454, kappa: 0.252, kb_relative_information_score: 0.1257, mean_absolute_error: 0.3015, mean_prior_absolute_error: 0.363, weighted_recall: 0.7727, number_of_instances: 748, precision: 0.7432, predictive_accuracy: 0.7727, prior_entropy: 0.7916, relative_absolute_error: 0.8304, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4021, root_relative_squared_error: 0.9443, unweighted_recall: 0.6055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7167, f_measure: 0.7743, kappa: 0.3371, kb_relative_information_score: -0.6815, mean_absolute_error: 0.4934, mean_prior_absolute_error: 0.363, weighted_recall: 0.7981, number_of_instances: 748, precision: 0.7783, predictive_accuracy: 0.7981, prior_entropy: 0.7916, relative_absolute_error: 1.359, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4937, root_relative_squared_error: 1.1594, unweighted_recall: 0.6415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6787, f_measure: 0.7319, kappa: 0.2263, kb_relative_information_score: 0.0765, mean_absolute_error: 0.306, mean_prior_absolute_error: 0.363, weighted_recall: 0.7487, number_of_instances: 748, precision: 0.7237, predictive_accuracy: 0.7487, prior_entropy: 0.7916, relative_absolute_error: 0.8428, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.431, root_relative_squared_error: 1.0121, unweighted_recall: 0.6013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5723, f_measure: 0.7283, kappa: 0.1912, kb_relative_information_score: 0.3103, mean_absolute_error: 0.2219, mean_prior_absolute_error: 0.363, weighted_recall: 0.7781, number_of_instances: 748, precision: 0.7486, predictive_accuracy: 0.7781, prior_entropy: 0.7916, relative_absolute_error: 0.6113, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4711, root_relative_squared_error: 1.1063, unweighted_recall: 0.5723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7008, f_measure: 0.7128, kappa: 0.1502, kb_relative_information_score: 0.1399, mean_absolute_error: 0.2896, mean_prior_absolute_error: 0.363, weighted_recall: 0.7513, number_of_instances: 748, precision: 0.7062, predictive_accuracy: 0.7513, prior_entropy: 0.7916, relative_absolute_error: 0.7978, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4302, root_relative_squared_error: 1.0102, unweighted_recall: 0.5606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6016, f_measure: 0.7075, kappa: 0.1693, kb_relative_information_score: 0.0757, mean_absolute_error: 0.3024, mean_prior_absolute_error: 0.363, weighted_recall: 0.7179, number_of_instances: 748, precision: 0.6998, predictive_accuracy: 0.7179, prior_entropy: 0.7916, relative_absolute_error: 0.8331, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.5149, root_relative_squared_error: 1.2092, unweighted_recall: 0.5792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6985, f_measure: 0.7528, kappa: 0.2823, kb_relative_information_score: 0.0823, mean_absolute_error: 0.3005, mean_prior_absolute_error: 0.363, weighted_recall: 0.7714, number_of_instances: 748, precision: 0.7474, predictive_accuracy: 0.7714, prior_entropy: 0.7916, relative_absolute_error: 0.8278, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4184, root_relative_squared_error: 0.9826, unweighted_recall: 0.624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5899, f_measure: 0.7258, kappa: 0.2043, kb_relative_information_score: 0.2106, mean_absolute_error: 0.254, mean_prior_absolute_error: 0.363, weighted_recall: 0.746, number_of_instances: 748, precision: 0.7168, predictive_accuracy: 0.746, prior_entropy: 0.7916, relative_absolute_error: 0.6997, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.504, root_relative_squared_error: 1.1835, unweighted_recall: 0.5899,
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: 0.76, f_measure: 0.7826, kappa: 0.3634, kb_relative_information_score: 0.159, mean_absolute_error: 0.2947, mean_prior_absolute_error: 0.363, weighted_recall: 0.8035, number_of_instances: 748, precision: 0.7856, predictive_accuracy: 0.8035, prior_entropy: 0.7916, relative_absolute_error: 0.8117, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3856, root_relative_squared_error: 0.9054, unweighted_recall: 0.6547,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6411, f_measure: 0.718, kappa: 0.1828, kb_relative_information_score: 0.0709, mean_absolute_error: 0.3064, mean_prior_absolute_error: 0.363, weighted_recall: 0.738, number_of_instances: 748, precision: 0.708, predictive_accuracy: 0.738, prior_entropy: 0.7916, relative_absolute_error: 0.8439, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4589, root_relative_squared_error: 1.0776, unweighted_recall: 0.5808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7136, f_measure: 0.7454, kappa: 0.252, kb_relative_information_score: 0.1257, mean_absolute_error: 0.3015, mean_prior_absolute_error: 0.363, weighted_recall: 0.7727, number_of_instances: 748, precision: 0.7432, predictive_accuracy: 0.7727, prior_entropy: 0.7916, relative_absolute_error: 0.8304, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4021, root_relative_squared_error: 0.9443, unweighted_recall: 0.6055,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5723, f_measure: 0.7283, kappa: 0.1912, kb_relative_information_score: 0.3103, mean_absolute_error: 0.2219, mean_prior_absolute_error: 0.363, weighted_recall: 0.7781, number_of_instances: 748, precision: 0.7486, predictive_accuracy: 0.7781, prior_entropy: 0.7916, relative_absolute_error: 0.6113, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4711, root_relative_squared_error: 1.1063, unweighted_recall: 0.5723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7008, f_measure: 0.7128, kappa: 0.1502, kb_relative_information_score: 0.1399, mean_absolute_error: 0.2896, mean_prior_absolute_error: 0.363, weighted_recall: 0.7513, number_of_instances: 748, precision: 0.7062, predictive_accuracy: 0.7513, prior_entropy: 0.7916, relative_absolute_error: 0.7978, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4302, root_relative_squared_error: 1.0102, unweighted_recall: 0.5606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6016, f_measure: 0.7075, kappa: 0.1693, kb_relative_information_score: 0.0757, mean_absolute_error: 0.3024, mean_prior_absolute_error: 0.363, weighted_recall: 0.7179, number_of_instances: 748, precision: 0.6998, predictive_accuracy: 0.7179, prior_entropy: 0.7916, relative_absolute_error: 0.8331, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.5149, root_relative_squared_error: 1.2092, unweighted_recall: 0.5792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6985, f_measure: 0.7528, kappa: 0.2823, kb_relative_information_score: 0.0823, mean_absolute_error: 0.3005, mean_prior_absolute_error: 0.363, weighted_recall: 0.7714, number_of_instances: 748, precision: 0.7474, predictive_accuracy: 0.7714, prior_entropy: 0.7916, relative_absolute_error: 0.8278, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4184, root_relative_squared_error: 0.9826, unweighted_recall: 0.624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5899, f_measure: 0.7258, kappa: 0.2043, kb_relative_information_score: 0.2106, mean_absolute_error: 0.254, mean_prior_absolute_error: 0.363, weighted_recall: 0.746, number_of_instances: 748, precision: 0.7168, predictive_accuracy: 0.746, prior_entropy: 0.7916, relative_absolute_error: 0.6997, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.504, root_relative_squared_error: 1.1835, unweighted_recall: 0.5899,
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: 0.76, f_measure: 0.7826, kappa: 0.3634, kb_relative_information_score: 0.159, mean_absolute_error: 0.2947, mean_prior_absolute_error: 0.363, weighted_recall: 0.8035, number_of_instances: 748, precision: 0.7856, predictive_accuracy: 0.8035, prior_entropy: 0.7916, relative_absolute_error: 0.8117, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3856, root_relative_squared_error: 0.9054, unweighted_recall: 0.6547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7001, f_measure: 0.7365, kappa: 0.2345, kb_relative_information_score: 0.1135, mean_absolute_error: 0.298, mean_prior_absolute_error: 0.363, weighted_recall: 0.7567, number_of_instances: 748, precision: 0.729, predictive_accuracy: 0.7567, prior_entropy: 0.7916, relative_absolute_error: 0.8209, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4207, root_relative_squared_error: 0.9879, unweighted_recall: 0.6027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6411, f_measure: 0.718, kappa: 0.1828, kb_relative_information_score: 0.0709, mean_absolute_error: 0.3064, mean_prior_absolute_error: 0.363, weighted_recall: 0.738, number_of_instances: 748, precision: 0.708, predictive_accuracy: 0.738, prior_entropy: 0.7916, relative_absolute_error: 0.8439, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4589, root_relative_squared_error: 1.0776, unweighted_recall: 0.5808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7136, f_measure: 0.7454, kappa: 0.252, kb_relative_information_score: 0.1257, mean_absolute_error: 0.3015, mean_prior_absolute_error: 0.363, weighted_recall: 0.7727, number_of_instances: 748, precision: 0.7432, predictive_accuracy: 0.7727, prior_entropy: 0.7916, relative_absolute_error: 0.8304, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4021, root_relative_squared_error: 0.9443, unweighted_recall: 0.6055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7167, f_measure: 0.7743, kappa: 0.3371, kb_relative_information_score: -0.6815, mean_absolute_error: 0.4934, mean_prior_absolute_error: 0.363, weighted_recall: 0.7981, number_of_instances: 748, precision: 0.7783, predictive_accuracy: 0.7981, prior_entropy: 0.7916, relative_absolute_error: 1.359, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4937, root_relative_squared_error: 1.1594, unweighted_recall: 0.6415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6787, f_measure: 0.7319, kappa: 0.2263, kb_relative_information_score: 0.0765, mean_absolute_error: 0.306, mean_prior_absolute_error: 0.363, weighted_recall: 0.7487, number_of_instances: 748, precision: 0.7237, predictive_accuracy: 0.7487, prior_entropy: 0.7916, relative_absolute_error: 0.8428, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.431, root_relative_squared_error: 1.0121, unweighted_recall: 0.6013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5723, f_measure: 0.7283, kappa: 0.1912, kb_relative_information_score: 0.3103, mean_absolute_error: 0.2219, mean_prior_absolute_error: 0.363, weighted_recall: 0.7781, number_of_instances: 748, precision: 0.7486, predictive_accuracy: 0.7781, prior_entropy: 0.7916, relative_absolute_error: 0.6113, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4711, root_relative_squared_error: 1.1063, unweighted_recall: 0.5723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7008, f_measure: 0.7128, kappa: 0.1502, kb_relative_information_score: 0.1399, mean_absolute_error: 0.2896, mean_prior_absolute_error: 0.363, weighted_recall: 0.7513, number_of_instances: 748, precision: 0.7062, predictive_accuracy: 0.7513, prior_entropy: 0.7916, relative_absolute_error: 0.7978, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4302, root_relative_squared_error: 1.0102, unweighted_recall: 0.5606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6016, f_measure: 0.7075, kappa: 0.1693, kb_relative_information_score: 0.0757, mean_absolute_error: 0.3024, mean_prior_absolute_error: 0.363, weighted_recall: 0.7179, number_of_instances: 748, precision: 0.6998, predictive_accuracy: 0.7179, prior_entropy: 0.7916, relative_absolute_error: 0.8331, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.5149, root_relative_squared_error: 1.2092, unweighted_recall: 0.5792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6985, f_measure: 0.7528, kappa: 0.2823, kb_relative_information_score: 0.0823, mean_absolute_error: 0.3005, mean_prior_absolute_error: 0.363, weighted_recall: 0.7714, number_of_instances: 748, precision: 0.7474, predictive_accuracy: 0.7714, prior_entropy: 0.7916, relative_absolute_error: 0.8278, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4184, root_relative_squared_error: 0.9826, unweighted_recall: 0.624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5899, f_measure: 0.7258, kappa: 0.2043, kb_relative_information_score: 0.2106, mean_absolute_error: 0.254, mean_prior_absolute_error: 0.363, weighted_recall: 0.746, number_of_instances: 748, precision: 0.7168, predictive_accuracy: 0.746, prior_entropy: 0.7916, relative_absolute_error: 0.6997, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.504, root_relative_squared_error: 1.1835, unweighted_recall: 0.5899,

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