Table 9. Summary of classification results obtained from training group by 10-fold CV on T2W and SPAIR T2W radiomic features.

Feature set	Algorithm	TP rate	FP rate	Specificity	Precision	Accuracy	F-measure	MCC
T2W	SVM	0.884	0.127	0.846	0.890	0.893	0.883	0.772
	ANN	0.860	0.134	0.904	0.864	0.861	0.861	0.725
SPAIR-T2W	SVM	0.930	0.067	0.954	0.931	0.929	0.930	0.861
	ANN	0.884	0.114	0.909	0.885	0.883	0.884	0.768

ANN, artificial neural network; SVM, support vector machine; TP, true-positive; FP, false-positive; MCC, Matthews correlation coefficient; CV, cross-validation.