Fig. 2From: Predicting patient outcomes in psychiatric hospitals with routine data: a machine learning approachPrecision 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 precisionBack to article page