Difference between R-square and Adjusted R-square

very time you add an independent variable to a model, the R-squared increases, even if the independent variable is insignificant. It never declines. Whereas Adjusted R-squared increases only when independent variable is significant and affects dependent variable. where: Example 1: Calculate Adjusted R-Squared with sklearn Example 2: Calculate Adjusted R-Squared with statsmodels A sample function to…

Forward Feature Selection using SequentialFeatureSelector

SequentialFeatureSelector is a feature selection technique. It is part of the feature_selection module and is used for selecting a subset of features from the original feature set. This technique follows a forward or backward sequential selection strategy. Here’s a brief overview: SequentialFeatureSelector is often used in conjunction with machine learning models to identify the most…