Data Journalism
Variable selection is the process of identifying and choosing the most relevant variables to be included in a statistical model, such as regression analysis. This step is crucial because including irrelevant or redundant variables can lead to overfitting, decreased model performance, and difficulties in interpreting results. By focusing on key predictors, variable selection enhances the model's accuracy and simplifies its structure, making the results more understandable.
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