Question: What role does dimensionality reduction play in data preprocessing for machine learning? It enhances the model's ability to handle large datasets. It increases the diversity

What role does dimensionality reduction play in data preprocessing for machine learning?
It enhances the model's ability to handle large datasets.
It increases the diversity of the training data.
It reduces the number of input variables to improve model performance and prevent overfitting.
It simplifies the computational requirements for model training.
What role does dimensionality reduction play in data preprocessing for machine

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