Data Science, Machine Learning, Regression, Evaluation Metric, Linear Regression.
explained by the independent variables. The difference here is that this metric adjusts for the number of independent variables present in a model. Independent features deemed useless will result in a lower Adjusted R², while independent features considered useful will result in a higher Adjusted