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

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

Vinícius Trevisan – Medium

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

List: Machine Learning, Curated by Julià Amengual

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

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

List: Feature Selection, Curated by Brian R Muckle

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

Vinícius Trevisan – Medium

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

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

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

PDF) Machine Learning Methods for Quantifying Uncertainty in Prospectivity Mapping of Magmatic-Hydrothermal Gold Deposits: A Case Study from Juruena Mineral Province, Northern Mato Grosso, Brazil