An Interactive Tool for Interpretability of Time Series Classification
摘要
In this demo paper we put forward an explainable artificial intelligence (XAI) tool for model-agnostic instance-based interpretability of time series classification. Our tool allows for model inspection on user-generated instances, together with generation and visualization of counterfactuals. This will boost the understanding of black box classification models, offering the user the ability to navigate the boundary between classes.