Table 2.

Prognostic accuracy with each predictive model.

Statistical Analysis	TP	FP	FN	TN	Accuracy
Logistic Regression	44	33	78	151	63.7%
SVM	40	34	82	150	64.4%
RF	38	17	84	167	67.0%
NN	46	47	76	137	59.8%

TP, true positive; FP, false positive; FN, false negative; TN, true negative; SVM, support vector machine; RF, random forest; NN, neural network.