Skip to content

README.md

Latest commit

 

History

History
28 lines (17 loc) · 1.03 KB

README.md

File metadata and controls

28 lines (17 loc) · 1.03 KB

adaboost

basic adaboost is implemented based decision tree classifier(max_depth=1), Implement of A new diverse adaboost classifier and Robust Alternating AdaBoost.

data)

data set in UCI.

  1. Diabetes
  2. Indian Liver Diseases
  3. Ionosphere

code

  • Adaboost_algo.py including baseline Adaboost, RAdaboost, Dadaboost. In case of Dadaboost, In reference(1), diverse AdaBoost is maded based Gentle Adaboost, but I made DadaBoost based Adaboost for comparing Adaboost and RadaBoost, DadaBoost.

  • the awesome baseline code is in adaboost.py using reference(3).

reference)

(1) An, T. K., & Kim, M. H. (2010, October). A new diverse AdaBoost classifier. In 2010 International Conference on Artificial Intelligence and Computational Intelligence (Vol. 1, pp. 359-363). IEEE.

(2) Allende-Cid, H., Salas, R., Allende, H., & Nanculef, R. (2007, November). Robust alternating adaboost. In Iberoamerican Congress on Pattern Recognition (pp. 427-436). Springer, Berlin, Heidelberg.

(3) https://geoffruddock.com/adaboost-from-scratch-in-python/