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Table 5 Precision, recall and F1 score in the diagnosis of MPE and TPE

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

 

MPE

TPE

 

Precision

Recall

F1 Score

Precision

Recall

F1 Score

Multinomial linear regression

0.780

0.983

0.870

0.910

0.813

0.859

Support vector machine

0.763

0.975

0.856

0.912

0.827

0.867

Extreme Gradient Boosting

0.832

0.958

0.891

0.877

0.853

0.865

Random forest

0.844

0.958

0.898

0.877

0.853

0.865

K-Nearest Neighbors

0.783

1.000

0.878

0.939

0.827

0.879

Tabular Transformer

0.779

0.975

0.866

0.952

0.800

0.870

Traditional method

0.482

0.803

0.602

0.613

0.958

0.748

  1. MPE Malignant pleural effusion, TPE Tuberculosis pleural effusion