Using SHAP Values to Explain How Your Machine Learning Model Works

List: Data Science, Curated by SRI VENKATA SATYA AKHIL MALLADI

Explain Your Model with the SHAP Values, by Chris Kuo/Dr. Dataman, Dataman in AI

Comparing Robustness of MAE, MSE and RMSE, by Vinícius Trevisan

GitHub - aarkue/eXdpn: Tool to mine and evaluate explainable data Petri nets using different classification techniques.

Using Model Classification to detect Bias in Hospital Triaging

Using SHAP Values to Explain How Your Machine Learning Model Works — Vinicius Trevisan

An Introduction to SHAP Values and Machine Learning Interpretability

Prediction of serum anti-HSP27 antibody titers changes using a light gradient boosting machine (LightGBM) technique

List: Feature Importance with SHAP, Curated by Lars ter Braak

Introduction to SHAP Values and their Application in Machine Learning, by Reza Bagheri

Introduction to SHAP Values and their Application in Machine Learning, by Reza Bagheri