{ "_id": "6a105971acfb0bcc41ca3728", "Package": "CDF", "Type": "Package", "Title": "Centroid Decision Forest for High-Dimensional Classification", "Version": "0.1.0", "Authors@R": "c(\nperson(\"Amjad\", \"Ali\", email = \"amjadali@uaeu.ac.ae\",\nrole = c(\"aut\", \"cre\")),\nperson(\"Saeed\", \"Aldahmani\", role = \"aut\"),\nperson(\"Zardad\", \"Khan\", role = \"aut\")\n)", "Description": "Implements the Centroid Decision Forest (CDF) as a single\nuser-facing function CDF(). The method selects discriminative\nfeatures via a multi-class class separability score (CSS),\nsplits by nearest class centroid, and aggregates tree votes to\nproduce predictions and class probabilities. Returns CSS-based\nfeature importance as well. 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