Decision Variants for the Automatic Determination of Optimal Feature Subset in RF-RFE

• Published in: Genes Vol. 9; no. 6; p. 301
• Main Authors: Chen, Qi, Meng, Zhaopeng, Liu, Xinyi, Jin, Qianguo, Su, Ran
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 15.06.2018; MDPI
• Subjects: Accuracy; Algorithms; Amino acid sequence; Artificial intelligence; Bioinformatics; Cancer; Classification; Data analysis; Gene expression; International conferences; Methods; Principal components analysis; Studies; China; RFE; voting; decision variant; random forest; feature selection

Feature selection, which identifies a set of most informative features from the original feature space, has been widely used to simplify the predictor. Recursive feature elimination (RFE), as one of the most popular feature selection approaches, is effective in data dimension reduction and efficienc...