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Model Perspective
Model Perspective
Oct 31, 2022 · Artificial Intelligence

Understanding SHAP: How Shapley Values Explain Black‑Box Models

This article explains the SHAP (Shapley Additive Explanation) method, its theoretical foundations in game theory, the computation of Shapley Values, various algorithmic approximations like TreeSHAP and DeepSHAP, practical code examples, and the strengths and limitations of using SHAP for model interpretability.

Model InterpretationSHAPShapley Values
0 likes · 11 min read
Understanding SHAP: How Shapley Values Explain Black‑Box Models
AntTech
AntTech
May 22, 2018 · Artificial Intelligence

Unpack Local Model Interpretation for GBDT – Summary and Analysis

This article summarizes the Ant Financial paper presented at DASFAA 2018 that proposes a universal local explanation method for Gradient Boosting Decision Tree models, detailing the problem definition, the PMML‑based algorithm for attributing feature contributions, experimental validation on fraud detection data, and the practical benefits for model transparency and improvement.

GBDTModel InterpretationPMML
0 likes · 12 min read
Unpack Local Model Interpretation for GBDT – Summary and Analysis