Medium
Introduction to Explainable AI (Explainable Artificial Intelligence or XAI) - 10 Senses
New Report: Risky Analysis: Assessing and Improving AI Governance Tools
Understanding Convolutional Neural Networks (CNNs), by Vinícius Trevisan
Evaluating the potential return of a model with Lift, Gain, and Decile Analysis, by Vinícius Trevisan
Boruta SHAP: A Tool for Feature Selection Every Data Scientist Should Know, by Vinícius Trevisan
Is your ML model stable? Checking model stability and population drift with PSI and CSI, by Vinícius Trevisan
Comparing Robustness of MAE, MSE and RMSE, by Vinícius Trevisan
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
Comparing sample distributions with the Kolmogorov-Smirnov (KS) test, by Vinícius Trevisan
Comparing Robustness of MAE, MSE and RMSE, by Vinícius Trevisan
Understanding Convolutional Neural Networks (CNNs), by Vinícius Trevisan