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Fig. 1 | BMC Anesthesiology

Fig. 1

From: Machine-learning vs. logistic regression for preoperative prediction of medical morbidity after fast-track hip and knee arthroplasty—a comparative study

Fig. 1

a Distribution of full machine learning model risk scores for patients ± the primary outcome. The dashed line marks the classification threshold of 20% positive prediction fraction. b Receiver operating curves (ROC) for the full machine learning model (F-MLM), full logistic regression model (F-LRM), parsimonious machine learning model (P-MLM), parsimonious logistic regression model (P-LRM) and the age-only model (AM)

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BMC Anesthesiology

ISSN: 1471-2253

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