Open Sandy4321 opened 4 years ago
Facing the same question. @Sandy4321
Unfortunately, in your example, the code to_drop = [column for column in upper.columns if any(upper[column].abs() > correlation_threshold)]
(in line 201 of feature_selector.py) will remove 2 features, remaining the 1st feature in the upper triangular correlation matrix.
Does it?
any answer pls
May you clarify what are you doing with colinear features What you remove from let's say 3 similar features Which one?