Table 3.

MCCs for each outcome across each classifier.

Classifier	Sedative Benzodiazepine Use	Z-Drug Use
Regularized logistic regression	0.089 (0.088–0.090)*	0.175 (0.174–0.176)*
Gradient boosting	0.083 (0.082–0.084)	0.171 (0.170–0.173)
Support vector machine	0.092 (0.089–0.095)	0.175 (0.174–0.177)
Random forest	0.083 (0.082–0.085)	0.167 (0.166–0.168)
Naive Bayes	0.086 (0.084–0.087)	0.156 (0.155–0.157)
Decision tree	0.078 (0.076–0.079)	0.167 (0.165–0.168)

*Optimal classifier. MCCs reported as mean (95% CI). CI = confidence interval, MCC = Matthews correlation coefficient.