Implemented Feature selection algorithm (F-Test) on Genome dataset to select best 100 features out of 4434 features based on their f-scores, and using the new Dataset to train the models and later test the models with the help of testing data
-
Notifications
You must be signed in to change notification settings - Fork 0
Implemented Feature selection algorithm (F-Test) on Genome dataset to select best 100 features out of 4434 features based on their f-scores, and used the new dataset to train Machine Learning models, and later test the models with the help of testing data
koreaditya/Feature-Selection-using-F-test
Folders and files
| Name | Name | Last commit message | Last commit date | |
|---|---|---|---|---|
Repository files navigation
About
Implemented Feature selection algorithm (F-Test) on Genome dataset to select best 100 features out of 4434 features based on their f-scores, and used the new dataset to train Machine Learning models, and later test the models with the help of testing data
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published