FRL: An Integrative Feature Selection Algorithm Based on the Fisher Score, Recursive Feature Elimination, and Logistic Regression to Identify Potential Genomic Biomarkers

<div>Comparisons on ACC and F1-score between FRL, Ridge regression (Ridge), Extremely randomized trees (Extra Trees), Random forest, Lasso, and Lasso-Logistic regression.</div>

BioMed Research International

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Figure 8

Figure 8: FRL: An Integrative Feature Selection Algorithm Based on the Fisher Score, Recursive Feature Elimination, and Logistic Regression to Identify Potential Genomic Biomarkers 

Figure 8 | FRL: An Integrative Feature Selection Algorithm Based on the Fisher Score, Recursive Feature Elimination, and Logistic Regression to Identify Potential Genomic Biomarkers 