https://github.com/ahlusar1989/adaboost_explorations
Implementation of Adaptive Boosting. AdaBoost is adaptive in the sense that subsequent weak learners are tweaked in favor of those instances misclassified by previous classifiers.
https://github.com/ahlusar1989/adaboost_explorations
Last synced: 4 months ago
JSON representation
Implementation of Adaptive Boosting. AdaBoost is adaptive in the sense that subsequent weak learners are tweaked in favor of those instances misclassified by previous classifiers.
- Host: GitHub
- URL: https://github.com/ahlusar1989/adaboost_explorations
- Owner: ahlusar1989
- Created: 2016-02-07T14:05:13.000Z (over 9 years ago)
- Default Branch: master
- Last Pushed: 2016-03-18T13:51:49.000Z (over 9 years ago)
- Last Synced: 2024-10-05T23:41:14.884Z (about 1 year ago)
- Language: Python
- Homepage:
- Size: 2.93 KB
- Stars: 0
- Watchers: 3
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# AdaBoost_Explorations
The output of the other learning algorithms ('weak learners') is combined into a weighted sum that represents the final
output of the boosted classifier. AdaBoost is adaptive in the sense that subsequent weak learners are tweaked in favor of
those instances misclassified by previous classifiers.