Question: What is the potential issue with selecting features solely based on a high correlation with the target variable? It may miss out on important interactions

What is the potential issue with selecting features solely based on a high correlation with the target variable?
It may miss out on important interactions between features
It can lead to a model that is too complex and overfit to the training data
It always results in a model with high bias
It guarantees perfect predictive accuracy on unseen data
What is the potential issue with selecting

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