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Table 3 Different model performance evaluation accuracy, precision, recall and F1 score

From: A machine learning-based severity stratification tool for high altitude pulmonary edema

 

Multinomail logistic regression (feature selection)

Decision Tree (feature selection)

Random Forest (feature selection)

Accuracy

0.720588

0.735294

0.779412

Precision

0.535088

0.615

0.702655

Recall

0.571111

0.662222

0.682222

F1 score

0.551921

0.632641

0.689552

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BMC Medical Informatics and Decision Making

ISSN: 1472-6947

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