Practical Explainable AI Using Python: Artificial Intelligence Model Explanations Using Python-based Libraries, Extensions, and Frameworks

© The Author(s), under exclusive license to APress Media, LLC, part of Springer Nature 2022

P. MishraPractical Explainable AI Using Pythonhttps://doi.org/10.1007/978-1-4842-7158-2_5

5. Explainability for Ensemble Models

Pradeepta Mishra¹  

(1)

Sobha Silicon Oasis, Bangalore, Karnataka, India

 

Ensemble models are a group of models where the predictions are aggregated using some metric in order to generate a final prediction. As an example, a group of tree-based models can be developed to predict a real valued output, like a regression model. The predictions from all of the trees are averaged and taken for the final output. In a similar way, classification models generate individual class predictions and then take a voting rule. The class with the highest ...