Table 3.

Prediction ability of models for HNHC patients (Train-test Ratio of 70:30).

Outcome	ROC-AUC	accuracy	sensitivity	specificity	F1-score
Logistic regression	0.827	0.992	0.074	0.999	0.127
Naive bayes	0.828	0.950	0.567	0.953	0.150
KNN	0.836	0.992	0.012	1.000	0.159
RF	0.869	0.992	0.098	0.999	0.167
MLP	0.872	0.992	0.042	1.000	0.138