I am currently working on a
binary classification task where the class is
I have the following
categorical attributes with different levels:
time_slot: 8 levels product_type: 3 levels state: 40 levels due_day: 6 levels (Mon - Sat) lead_time: numerical in days (0-100)
Now, I am planning to use three algorithms to start with:
Logistic Regression, Decision Tree and Random Forest
I am confused as to what sort of encoding strategy is best when it comes to categorical variables?
LabelEncoder, OneHot, BinaryEncoding?
Also, I am thinking of creating bins for
any pointers/tips will be useful.