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Variable Importance Dummy Variables R
How can I determine variable importance (vip package in r) for categorical predictors when they have been one-hot encoded? It seems impossible for r to do this when the model is built on the dummy var...
mapleleaf
Votes: 0
Answers: 1
gridsearchcv best_estimator parameter doenst have same value as the fitted model when using pipeline indexing. Also uses sequential feature selection
The whole idea is to perform a grid search over all possible values of lambda, where each possible values of lambda would give a specific best subset of feature. At The end of the day I'm trying to do...
Swann_
Votes: 0
Answers: 0
Selected Features Column Names in Scikit Learn Feature Selection
Figuring out which features were selected from the main dataframe is a very common problem data scientists face while doing feature selection using scikit-learn feature_selection module.
# importing m...
Muhammad Ali
Votes: 0
Answers: 0
Top 5 feature subsets from feature selection
As i know that feature selection such as forward feature selection give you the best subset of features.
Is there a way to not only find the best subset but also the 2,3,4 and 5th best subset of featu...
Paresh Sharma
Votes: 0
Answers: 0