Fig. 1.

Accuracies and areas under the receiver operating characteristic curve (AUCs) of different machine learning algorithms in classifications of dilated cardiomyopathy (DCM), ischemic cardiomyopathy (ICM), and nonfailure control (NF) samples using the top 1,000 high-variance gene features. Each point represents one iteration (total 50 iterations) using each algorithm in each classification. A, B: NF vs. DCM; C, D: NF vs. ICM; E, F: DCM vs. ICM. DT, decision tree; ENet, elastic net; pcaNNet, neural networks with principal component analysis; RF, random forest; svmRadial, support vector machine with radial kernel.