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

Understanding Convolutional Neural Networks (CNNs), by Vinícius Trevisan

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

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

Introduction to Explainable AI (Explainable Artificial Intelligence or XAI) - 10 Senses

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

Medium

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

Introduction to Explainable AI (Explainable Artificial Intelligence or XAI) - 10 Senses

Target-encoding Categorical Variables, by Vinícius Trevisan

List: explainability, Curated by Galkampel

The most insightful stories about Explainable Ai - Medium

Vinícius Trevisan – Medium

Is it correct to put the test data in the to produce the shapley values? I believe we should use the training data as we are explaining the model, which was configured

Introduction to Explainable AI (Explainable Artificial Intelligence or XAI) - 10 Senses