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Table 3 Model accuracy in train and test

From: Machine learning-based Diagnostic model for determining the etiology of pleural effusion using Age, ADA and LDH

 

LR

SVM

XGBoost

RF

KNN

Tab Transformer

Accuracy in train set

0.785

0.795

0.835

0.828

0.803

0.753

Accuracy in test set

0.818

0.809

0.827

0.832

0.832

0.836

  1. LR multinomial linear regression, SVM support vector machine, XGBoost Extreme Gradient Boosting, RF, random forest, KNN K-Nearest Neighbors, Tab Transformer Tabular Transformer
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Respiratory Research

ISSN: 1465-993X

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