Tag Archives: Correlation Coefficient

ML Zoomcamp 2023 – Machine Learning for Classification– Part 7

Feature importance: Correlation For measuring feature importance for numerical variables, one common approach is to use the correlation coefficient, specifically Pearson’s correlation coefficient. The Pearson correlation coefficient quantifies the degree of linear dependency between two numerical variables. The correlation coefficient (often denoted as “r”) has a range of -1 to 1: The strength of theContinue reading “ML Zoomcamp 2023 – Machine Learning for Classification– Part 7”