Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).
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Updated
Nov 6, 2024 - Jupyter Notebook
Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).
Three MIP models for optimal classification tree: OCT, binOCT, flowOCT
Using Optimal Classification/Prescriptive Trees (IAI), K-means clustering, XGBoost. MIT Machine Learning Under a Modern Optimization Lens term project, Fall 2024
Rolling Lookahead Decision Trees
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