https://aneeshagarwala.r-universe.devRecent package updates in aneeshagarwalaR-universehttps://github.com/aneeshagarwala.pnghttps://aneeshagarwala.r-universe.devWed, 24 Jun 2026 09:09:16 GMTaaga0022@student.monash.edu (Aneesh Agarwal)Implements Support Vector Machine Oblique Decision Trees (SVMODT). Recursively builds classification trees using linear Support Vector Machines (SVM) hyperplanes at each node instead of axis-parallel splits, creating oblique decision boundaries. Features include multiple feature selection methods, dynamic feature subset strategies, class weight support for imbalanced datasets, pruning and feature penalization.https://github.com/r-universe/aneeshagarwala/actions/runs/28505433556Wed, 24 Jun 2026 09:09:16 GMTsvmodt0.1.0successhttps://aneeshagarwala.r-universe.devhttps://github.com/aneeshagarwala/svmodtintroduction.Rmdintroduction.htmlConstructing Oblique Trees with svmodt2025-10-27 07:12:372026-06-13 07:59:24