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Table 5 IForest results

From: Anomaly-based threat detection in smart health using machine learning

Models

Accuracy

Sensitivity

Specificity

F1 score

Precision

Kappa

SVM

0.9921

0.9975

0.9932

0.9872

0.9823

0.6823

Decision Tree

0.9892

0.9823

0.9897

0.9935

0.9975

0.6631

Random Forest

0.9885

0.9728

0.7284

0.8321

0.9728

0.5921

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BMC Medical Informatics and Decision Making

ISSN: 1472-6947

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