This hybrid model uses a filtering technique that incorporates
Principal Component Analysis (PCA) and Information gain
for determining the most relevant features. It ultimately aims
at selecting the best set of features from the first data which
will give good classification.
-
Notifications
You must be signed in to change notification settings - Fork 1
mohammed-hashim-k/PCA-IG
Folders and files
| Name | Name | Last commit message | Last commit date | |
|---|---|---|---|---|
Repository files navigation
About
Feature selection using PCA and IG
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published