svmodt
0.1.0Linear SVM-Based Recursive Decision Trees
Overview
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.
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Health
- OK2026-08-0413 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- NOTE2026-08-0112 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- OK2026-07-017 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 0%
- Documented parameters
- 100%
- Return-value docs
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- References docs
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Code & Tests
Datasets
People & History
1 release. R releases are shown for context.
- 0.1.0Latest2026-06-30 · current release
- RR 4.6.0 released · 2026-04-24
Package metadata
- First published
- 2026-06-30
- Total releases
- 1 / 1 yrs
- License
- GPL (>= 3) OSI
- Minimum R
- ≥ 3.5
- Bundled data
- 64 KB / 2 files
- Download size
- 207 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
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