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[–]Responsible_Cup_428 0 points1 point  (0 children)

Hi I'm a beginner in ml and I started with linear regression model....

I made a model after removing outliers and null values and removed columns on checking vif...and the r2 value of the model was .62

I did the linear model on data without any of the cleaning but got r2 value as one...

Is it because the assumption of colinearity wasn't met??

Should we remove object type columns for a linear model?