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Table 10 Classification accuracy of different classifiers with car evaluation dataset

From: Selecting critical features for data classification based on machine learning methods

Method

Accuracy

Features

SVM

0.933

6

Boruta + SVM

0.8866

4

RFE + SVM

0.8895

4

RF + SVM

0.8401

4

LDA

0.8808

6

Boruta + LDA

0.843

4

RFE + LDA

0.8372

4

RF + LDA

0.843

4

KNN

0.8634

6

Boruta + KNN

0.8663

4

RFE + KNN

0.8808

4

RF + KNN

0.8227

4

RF

0.9331

6

Boruta + RF

0.8792

4

RFE + RF

0.8779

4

RF + RF

0.9336

4