Walle
Created page with "{{see also|Machine learning terms}} ==Variable Importance in Machine Learning== Variable importance, also referred to as feature importance, is a concept in machine learning that quantifies the relative significance of individual variables, or features, in the context of a given predictive model. The primary goal of assessing variable importance is to identify and understand the most influential factors in a model's decision-making process. This information can be us..."
