sametcopur/obliquetree
obliquetree is an advanced decision tree implementation featuring oblique and axis-aligned splits, optimized performance.
This project helps data scientists and machine learning engineers build predictive models for classification and regression tasks. You provide it with your dataset, including numerical and categorical features, and it produces an interpretable decision tree model that can make predictions. It's designed for those who need accurate models that are easy to understand, especially with datasets exhibiting linear relationships.
Use this if you need an interpretable predictive model that performs well with shallow trees and handles both numerical and categorical data efficiently.
Not ideal if you primarily work with very deep trees (depth 10 or more), where its performance benefits might converge with traditional tree implementations.
Stars
23
Forks
4
Language
Cython
License
MIT
Category
Last pushed
Dec 06, 2025
Commits (30d)
0
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