SHAPtyökalujen
SHAPtyökalujen, which translates to SHAP tools in English, refers to a collection of Python libraries designed to explain the predictions of machine learning models. The core concept behind these tools is the SHAP (SHapley Additive exPlanations) value, a unified measure of feature importance derived from cooperative game theory. SHAP values attribute the contribution of each feature to a specific prediction, allowing users to understand why a model made a particular output.
The SHAPtyökalujen ecosystem provides implementations for calculating SHAP values efficiently across various model types, including tree-based