项目作者: Magho

项目描述 :
Implement Ada boost ensembling, train a boosted decision stump ensemble and Evaluate the effect of boosting
高级语言: Jupyter Notebook
项目地址: git://github.com/Magho/Boosting.git
创建时间: 2018-09-22T17:27:28Z
项目社区:https://github.com/Magho/Boosting

开源协议:MIT License

下载


Goals

  • Use SFrames to do some feature engineering.
  • Modify the decision trees to incorporate weights.
  • Implement Adaboost ensembling.
  • Use your implementation of Adaboost to train a boosted decision stump ensemble.
  • Evaluate the effect of boosting (adding more decision stumps) on performance of the model.
  • Explore the robustness of Adaboost to overfitting.

Packages used

  • graphlab
  • matplotlib

Used data set

lending-club-data.gl

Algorithms used :

  • decision trees.
  • Adaboost ensembling.
  • boosted decision stump ensemble.