How does collinearity (correlation) between features influence model predictions?

I was often asked in job interviews about correlation between features. How does correlatation between features influence model predictions? If we have two equal columns in the data set how does it influence the model? Thank you!

Hi, here’s a good example of why you should avoid higly correlated features in your linear or logistic regression model. Remember that other types of models are robust to this issue.

Follow this link:

Best regards,

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