Table 1.

Performance of machine learning models.

Methods	Accuracy	Sensitivity	Specificity	F1 score	AUC
Random forest	0.68	0.16	0.83	0.24	0.46
LDA	0.64	0.32	0.78	0.35	0.55
CATCH	0.60	0.66	0.48	0.69	0.56

Abbreviations: LDA, linear discriminant analysis; CATCH, covariate-adjusted, proposed tensor classification in high dimensions; AUC, area under the curve.