FeaLect (1.10)
Scores Features for Feature Selection.
http://cran.r-project.org/web/packages/FeaLect
For each feature, a score is computed that can be useful for feature selection. Several random subsets are sampled from the input data and for each random subset, various linear models are fitted using lars method. A score is assigned to each feature based on the tendency of LASSO in including that feature in the models.Finally, the average score and the models are returned as the output. The features with relatively low scores are recommended to be ignored because they can lead to overfitting of the model to the training data. Moreover, for each random subset, the best set of features in terms of global error is returned. They are useful for applying Bolasso, the alternative feature selection method that recommends the intersection of features subsets.
Maintainer:
Habil Zare
Author(s): Habil Zare
License: GPL (>= 2)
Released over 2 years ago.
4 previous versions
- FeaLect_1.8. Released over 2 years ago.
- FeaLect_1.7. Released over 2 years ago.
- FeaLect_1.3. Released almost 6 years ago.
- FeaLect_1.1. Released almost 7 years ago.
Ratings
Overall: |
|
Documentation: |
|
Log in to vote.
Reviews
No one has written a review of FeaLect yet. Want to be the first? Write one now.
Related packages: … (20 best matches, based on common tags.)
Search for FeaLect on google, google scholar, r-help, r-devel.
Visit FeaLect on R Graphical Manual.
