Comparison of predictive quality on the BCPREDFrag dataset calculated using 10-fold cross validation. The methods are sorted by their AUC values in the ascending order.
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https://figshare.com/articles/dataset/_Comparison_of_predictive_quality_on_the_BCPREDFrag_dataset_calculated_using_10_fold_cross_validation_The_methods_are_sorted_by_their_AUC_values_in_the_ascending_order_/288674
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aresults from Table 1 in [21].
bresults from Table II in [22].
cresults for the SVM model (C = 8.0 and gamma = 0.000977) that uses all 198 features.
dresults for the SVM model (C = 1.0 and gamma = 0.001953) that uses the selected 84 features.
创建时间：
2012-06-27
