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Table 2 Machine Learning-Logistic regression classifier performance

From: Delirium misdiagnosis risk in psychiatry: a machine learning-logistic regression predictive algorithm

Metric

Predictive ability

Sensitivity (true positive rate)

0.77

Specificity (true negative rate)

0.67

False positive rate

0.33

False negative rate

0.23

Positive predictive value (PPV)

0.70

Negative predictive value (NPV)

0.74

AUC

0.79 (95% CI: 0.66 to 0.90)

Classification Accuracy

0.72

  1. AUC Area under the curve
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BMC Health Services Research

ISSN: 1472-6963

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