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Table 2 Comparison of precision of KNN, SVM, MLP, RF, gcForest, DFNForest, and LACFNForest on the BRCA dataset

From: A laminar augmented cascading flexible neural forest model for classification of cancer subtypes based on gene expression data

Method

KNN

SVM

RF

MLP

gcForest

DFNForest

LACFNForest

Precision

0.816

0.888

0.872

0.880

0.880

0.928

0.944

Recall

0.800

0.888

0.880

0.888

0.872

0.936

0.944

F-1 Score

0.808

0.888

0.876

0.884

0.876

0.932

0.944

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BMC Bioinformatics

ISSN: 1471-2105

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