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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