Evaluating Feature Importance Estimates
arXiv: Learning, Volume abs/1806.10758, 2018.
Estimating the influence of a given feature to a model prediction is challenging. We introduce ROAR, RemOve And Retrain, a benchmark to evaluate the accuracy of interpretability methods that estimate input feature importance in deep neural networks. We remove a fraction of input features deemed to be most important according to each estim...More
PPT (Upload PPT)