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Principle:Interpretml Interpret Tree Interpretation

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Metadata

Field Value
Sources Interpretml_Interpret
Domains Interpretability, Feature_Attribution
Updated 2026-02-07

Overview

Tree interpretation decomposes predictions of tree-based models into per-feature contributions by tracing decision paths from root to leaf.

Description

TreeInterpreter wraps the treeinterpreter package to provide local feature contribution explanations for scikit-learn tree-based models. For each prediction, it traces the decision path through the tree and attributes the change in prediction at each node to the feature used for splitting. This produces a decomposition where the prediction equals the bias (average training response) plus the sum of individual feature contributions. The approach is model-specific to decision trees and random forests.

Usage

Use tree interpretation when you need fast, exact local explanations for scikit-learn decision tree or random forest models. Requires the treeinterpreter package.

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