Data Glossary Lab

SHAP (SHapley Additive exPlanations) is a mathematical framework used to explain the output of any machine learning model.

Standardization is a fundamental data preprocessing technique used in statistics and machine learning to transform numerical features so that they possess a mathematically defined, centralized scale.

Stemming is the linguistic "pruning" process used in information retrieval and natural language processing to reduce words to their base or root form.

A Support Vector Machine, is a supervised machine learning algorithm used primarily for classification tasks, although it can also be adapted to handle regression problems