Table 4. Comparison of performance for logistic regression and random forest.

Characteristics	Logistic regression	Random forest
Accuracy	0.902	0.843
Positive predictive rate	0.936	0.84
Negative predictive rate	0.873	0.846
No. of true positive/false negative	264/18	257/49
No. of true negative/false positive	288/42	259/47
Sensitivity	0.863	0.845
Specificity	0.941	0.841
F1 score	0.898	0.843
Out of bag error estimate (%)	-	15.69