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Table 3 Comparison of precision of KNN, SVM, MLP, RF, gcForest, DFNForest, and LACFNForest on the GBM 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

0.684

0.632

0.658

0.684

0.737

0.816

0.844

Recall

0.684

0.658

0.684

0.719

0.781

0.816

0.875

F-1 Score

0.684

0.645

0.671

0.702

0.759

0.816

0.860

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BMC Bioinformatics

ISSN: 1471-2105

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