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

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

Is your ML model stable? Checking model stability and population drift with PSI and CSI, by Vinícius Trevisan

List: Model evaluation, Curated by Vinícius Trevisan

Comparing sample distributions with the Kolmogorov-Smirnov (KS) test, by Vinícius Trevisan

Evaluating classification models with Kolmogorov-Smirnov (KS) test, by Vinícius Trevisan

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

Vinícius Trevisan – Medium

Boruta SHAP: A Tool for Feature Selection Every Data Scientist Should Know, by Vinícius Trevisan