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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