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Fig. 2 | BMC Medical Informatics and Decision Making

Fig. 2

From: Predicting patient outcomes in psychiatric hospitals with routine data: a machine learning approach

Fig. 2

Precision and Recall Plot, A = Precision at least 33%, B = Precision at least 25%, C=Precision at least 20%. Dashed horizontal line shows the prevalence of the outcome. Crossed circles show cut-off values that maximise sensitivity at different minimum thresholds of precision. Grey areas are not clinically meaningful because of a precision or recall of less than 0.2. Cut-off points in grey areas are not shown. Actual precision could be more than minimum precision

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