Evaluation of feature extraction methods with ensemble learning for breast cancer classification
Author:
Affiliation:
1. National Institute of Technology, Ube College,Department of Intelligent System Engineering,Ube,Japan
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9754591/9754592/09754789.pdf?arnumber=9754789
Reference9 articles.
1. Effect of the random forests with recursive feature elimination for breast cancer classification
2. XGBoost: A scalable tree boosting system;chen;Machine Learning,2016
3. Correlation and variable importance in random forests
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