Resolution:
## Figure 1.
ROC curves. Representative ROC curves for three kernel-based SVM classifiers generated using
the threefold cross-validation with the mRNA expression microarray dataset for training
only. The ROC curves were generated by varying the decision threshold of each SVM
classifier. The average AUC for the linear kernel, polynomial kernel and RBF kernel
are 0.89, 0.85, and 0.95, respectively. ROC: receiver operating characteristic; TPR:
true positive rate; FPR: false positive rate; AUC: area under the curve.
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