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_6

6. Explainability for Time Series Models

Pradeepta Mishra¹  

(1)

Sobha Silicon Oasis, Bangalore, Karnataka, India

 

A time series model is a way of generating a multi-step prediction along a future time period. There are statistical models and machine learning-based models that can be deployed to generate forecasting for the future based on historical data. If the model predictions can be trusted or not, what is the degree of confidence someone can have about the predictions? Models that can be explained and models that cannot be explained are certain things we are going ...