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Random Forest feature importance can help identify which features (variables) are the most relevant in making predictions, which is crucial for dimensionality reduction, focusing on the most important features.
We are also utilizing Linear Regression, which is a widely used statistical and machine learning technique due to its reliability, simplicity, and interpretability. The right graph directly shows how accurate is the prediction of the linear regression model.
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