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Table 3 Ranking of classification models for cough recognition using the MCDM approach

From: Cough recognition in pneumoconiosis patients based on a flexible patch with an embedded ACC sensor for remote monitoring

Classifier

TOPSIS

VIKOR.R

VIKOR.S

VIKOR.Q

Final rank

Random Forest

0.286

0.033

0.033

0

1

CatBoost

0.285

0.071

0.081

0.1

2

Bagging

0.281

0.053

0.11

0.08

3

Gradient Boosting

0.285

0.071

0.083

0.101

4

KNN

0.282

0.144

0.191

0.302

5

XGBoost

0.280

0.114

0.186

0.24

6

Logistic Regression

0.278

0.081

0.197

0.182

7

Extra Trees

0.280

0.148

0.205

0.315

8

LightGBM

0.280

0.114

0.187

0.24

9

AdaBoost

0.275

0.124

0.286

0.312

10

SVM

0.278

0.184

0.272

0.421

11

Decision Tree

0.271

0.12

0.363

0.347

12

Naive Bayes

0.240

0.29

0.966

1

13