When features in a dataset are highly correlated, they might suffer from a problem known as ________, which can negatively impact the machine learning model.
- Bias
- Multicollinearity
- Overfitting
- Underfitting
When features in a dataset are highly correlated, they might suffer from a problem known as multicollinearity, which can negatively impact the machine learning model. Multicollinearity can affect the stability and interpretability of the model, and may cause certain algorithms to perform poorly.
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