Table 2.

Comparison of models

Models	Sensitivity	Specificity	AUC	Confidence Interval (95%)
Logistic regression	1.0	0.72	0.88	0.79-0.80
Random forest	0.71	0.55	0.74	0.58-0.60
K-Nearest neighbor	1.0	0.33	0.85	0.51-0.52
MLP	0.71	0.72	0.76	0.71-0.72
SVC	1.0	0.77	0.90	0.83- 0.84
Voting classifier	1.0	0.77	0.88	0.83- 0.84