Question: Using the sklearn wine data set, develop a random forest model first. What kind of feature engineering will be required for modeling this problem? Then,
Using the sklearn wine data set, develop a random forest model first.
What kind of feature engineering will be required for modeling this problem? Then, use k-fold cross-validation for a random forest classifier model again.
(Use Jupyter notebook for Python coding)
Step by Step Solution
There are 3 Steps involved in it
Get step-by-step solutions from verified subject matter experts
