README.md

XGBoost Code Examples

This folder contains all the code examples using xgboost.

• Contribution of examples, benchmarks is more than welcome!
• If you like to share how you use xgboost to solve your problem, send a pull request:)

Features Walkthrough

This is a list of short codes introducing different functionalities of xgboost packages.

• Basic walkthrough of packages python R Julia
• Customize loss function, and evaluation metric python R Julia
• Boosting from existing prediction python R Julia
• Predicting using first n trees python R Julia
• Generalized Linear Model python R Julia
• Cross validation python R Julia
• Predicting leaf indices python R

Basic Examples by Tasks

Most of examples in this section are based on CLI or python version. However, the parameter settings can be applied to all versions

• Binary classification
• Multiclass classification
• Regression
• Learning to Rank
• Distributed Training

Benchmarks

• Starter script for Kaggle Higgs Boson
• Kaggle Tradeshift winning solution by daxiongshu

Machine Learning Challenge Winning Solutions

• XGBoost helps Vlad Mironov, Alexander Guschin to win the CERN LHCb experiment Flavour of Physics competition. Check out the interview from Kaggle.
• XGBoost helps Mario Filho, Josef Feigl, Lucas, Gilberto to win the Caterpillar Tube Pricing competition. Check out the interview from Kaggle.
• XGBoost helps Halla Yang to win the Recruit Coupon Purchase Prediction Challenge. Check out the interview from Kaggle.