Comparing XAI techniques for interpreting short-term burglary predictions at micro-places
Abstract This study empirically compares multiple eXplainable Artificial Intelligence (XAI) techniques to interpret short-term (weekly) machine learning-based burglary predictions at the micro-place level in Ghent, Belgium.While previous research predominantly relies on SHAP to interpret spatiotemporal crime predictions, this is the first study to