Fig. 2: Test area under the curve (AUC) for the logistic regression (LR) classifier in the first column and random forest (RF) classifier in the second column, stratified by type of provider (from top to bottom: non-specialists, psychiatrists, all providers). | Translational Psychiatry

Fig. 2: Test area under the curve (AUC) for the logistic regression (LR) classifier in the first column and random forest (RF) classifier in the second column, stratified by type of provider (from top to bottom: non-specialists, psychiatrists, all providers).

From: Predicting treatment dropout after antidepressant initiation

Fig. 2

Four different types of input data are considered: sociodemographic features (dem), date of prescription (date), and diagnostic/procedure codes (codes). Confidence intervals computed using 500 bootstraps.

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