A Python framework for building majority vote and feature weighted linear stacking (FWLS) ensemble models. As an example, ensemble models are built to classify flower species of the Iris dataset. The models in the ensembles are a support vector machine (SVM), random forest, and k nearest neighbor.
forked from suzhu1988/Ensemble-Models-Majority-Vote-FWLS
-
Notifications
You must be signed in to change notification settings - Fork 0
A Python framework for building majority vote and feature weighted linear stacking (FWLS) ensemble models. As an example, ensemble models are built to classify flower species of the Iris dataset. The models in the ensembles are a support vector machine (SVM), random forest, and k nearest neighbor.
License
hwang-ua/Ensemble-Models-Majority-Vote-FWLS
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
Folders and files
| Name | Name | Last commit message | Last commit date | |
|---|---|---|---|---|
Repository files navigation
About
A Python framework for building majority vote and feature weighted linear stacking (FWLS) ensemble models. As an example, ensemble models are built to classify flower species of the Iris dataset. The models in the ensembles are a support vector machine (SVM), random forest, and k nearest neighbor.
Resources
License
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published
Languages
- Python 100.0%