Using SHAP Values to Explain How Your Machine Learning Model Works, by Vinícius Trevisan

Target-encoding Categorical Variables, by Vinícius Trevisan

New Report: Risky Analysis: Assessing and Improving AI Governance Tools

Using SHAP Values to Explain How Your Machine Learning Model Works, by Vinícius Trevisan

Evaluating the potential return of a model with Lift, Gain, and Decile Analysis, by Vinícius Trevisan

Vinícius Trevisan – Medium

Interpreting ROC Curve and ROC AUC for Classification Evaluation, by Vinícius Trevisan

List: SHAP, Curated by Dmor Idesign

New Report: Risky Analysis: Assessing and Improving AI Governance Tools

List: Explainable ML, Curated by Chris Burke

Target-encoding Categorical Variables, by Vinícius Trevisan

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