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tree.interpreter

Random Forest Prediction Decomposition and Feature Importance Measure

v0.1.3 · Sep 18, 2025 · MIT + file LICENSE

Description

An R re-implementation of the 'treeinterpreter' package on PyPI <https://pypi.org/project/treeinterpreter/>. Each prediction can be decomposed as 'prediction = bias + feature_1_contribution + ... + feature_n_contribution'. This decomposition is then used to calculate the Mean Decrease Impurity (MDI) and Mean Decrease Impurity using out-of-bag samples (MDI-oob) feature importance measures based on the work of Li et al. (2019) <doi:10.48550/arXiv.1906.10845>.

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Check History

OK 14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 10, 2026

Dependency Network

Dependencies Reverse dependencies Rcpp tree.interpreter

Version History

new 0.1.3 Mar 10, 2026
updated 0.1.3 ← 0.1.1 diff Sep 17, 2025
updated 0.1.1 ← 0.1.0 diff Feb 4, 2020
new 0.1.0 Oct 29, 2019