Description
Complex models (vs. simpler models) capture complex patterns in data and perform at higher accuracy but are less interpretable. Model-agnostic interpretability promises to regain interpretability without sacrificing accuracy. I introduce LIME (Local Interpretable Model-Agnostic Explanations), conceptually and applied to a classification problem: whether couples are likely to stay together, or not.