Python libraries that can interpret and explain machine learning models provide valuable insights into their predictions and ensure transparency in AI applications. A Python library is a collection of ...

Shapley additive explanation (SHAP) values represent a unified approach to interpreting predictions made by complex machine learning (ML) models, with superior consistency and accuracy compared with ...

The novel FLIT-SHAP approach can help reveal hidden interactions between pollutants, showing both synergistic and antagonistic effects on toxicity with an R² of 0.99. Traditional environmental health ...