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Refers generally to statistical procedures that utilize the logistic function, most commonly various forms of logistic regression

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Could multicollinearity be messing up my logistic regression? Can I overcome it?

If you want to use Logistic Regression for prediction (classification): Multicollinearity won't distort the model's output. You'll have the same numbers with features' removal or without it. … If you're using Logistic Regression as a descriptive or inference model: Multicollinearity is a serious issue. Your coefficients would probably not make any sense. …
Alex Teush's user avatar
1 vote

Determine by AUC and RMSE if Logistic Regression or Decision Tree is a better model?

If these are the only metrics suggested and I have to choose one over the other, I'd go with RMSE. I'm not sure AUROC (I guess that by AUC you mean AUROC) is suitable here. Plus, your AUC scores are …
Alex Teush's user avatar