Improved Feature Importance Computations for Tree Models: Shapley vs. Banzhaf The Shapley value is one of the main tools used to explain predictions of tree ensemble models. The main alternative to the Shapley value is the Banzhaf value but the […]
Episode XV
Extensions of the SHAP method: using Shapley value to interpret models with dependencies and survival analysis models SHAP (SHapley Additive exPlanations) is one of the most popular explanation methods. The widespread use is due to a solid theoretical basis from […]
“Use your data wisely” – Data-Centric NLP in the e-commerce domain Many recent NLP publications focus on increasing the model capacity and tuning the model’s architecture, “Data-Centric AI” suggests putting more effort into preparing high-quality data instead. In this talk, […]