Mushroom Classification using Machine Learning with Deployment using FastAPI

In above screenshot, one can see that I have assign k value as 9 which will return the 9 best features and the score function is chi2 and in the last, the scores can be seen for our best 9 features, the highest score is for column'bruises' and the lowest is for column'habitat'. Little Feature Engineering was done i.e. I merged'stalk_surface_above_ring' and'stalk_surface_below_ring' to just'stalk_surface'. Later Multicollinearity was checked using Variance Inflation Factor but our task is just prediction so Multicollinearity issue will not affect . But let me explain little bit more about it.