%0 Report %1 universityofcalifornia2004using %A Chen, Chao %A Liaw, Andy %A Breiman, Leo %D 2004 %E University of California, Berkeley 110 (1-12): 24 %K balanced forest random %N 666 %T Using Random Forest to Learn Imbalanced Data %U https://statistics.berkeley.edu/sites/default/files/tech-reports/666.pdf

@techreport{universityofcalifornia2004using, added-at = {2022-08-10T12:27:27.000+0200}, author = {Chen, Chao and Liaw, Andy and Breiman, Leo}, biburl = {https://www.bibsonomy.org/bibtex/2f8a29230348c17781bdc5f696bac1773/hbreuill}, editor = {University of California, Berkeley 110 (1-12): 24}, institution = {University of California, Berkeley 110 (1-12): 24}, interhash = {a73e2650b0bceac72286a6a0e99e85b0}, intrahash = {f8a29230348c17781bdc5f696bac1773}, keywords = {balanced forest random}, number = 666, timestamp = {2022-08-10T12:35:57.000+0200}, title = {Using Random Forest to Learn Imbalanced Data}, url = {https://statistics.berkeley.edu/sites/default/files/tech-reports/666.pdf}, year = 2004 }