Question: What is a potential downside of using linear regression models in machine learning? They are too complex and difficult to interpret They can only handle

What is a potential downside of using linear regression models in machine learning?
They are too complex and difficult to interpret
They can only handle numerical data
They are prone to overfitting the data
They are not suitable for predicting continuous target variables
What is a potential downside of using linear

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