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Table 4 Comparison of classifiers using 10-fold cross validation accuracy and AUC

From: cMRI-BED: A novel informatics framework for cardiac MRI biomarker extraction and discovery applied to pediatric cardiomyopathy classification

Method Accuracy (%) AUC (%)
BRL-DT (EBD lambda = 3.5) 80.72 79.6
SVM (WEKA Linear kernel) 75.90 73.4
C4.5 (WEKA default settings) 78.31 73.9
Random Forests (WEKA default) 73.49 77.2