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XGBoost Examples
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====
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This folder contains the all example codes using xgboost.
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Contribution of exampls, benchmarks is more than welcomed!
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If you like to share how you use xgboost to solve your problem, send a pull request:)
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Start Examples by Tasks
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====
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* [Binary classification](binary_classification)
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* [Multiclass classification](multiclass_classification)
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* [Regression](regression)
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* [Learning to Rank](rank)
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Features Walkthrough
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====
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This is a list of short codes introducing different functionalities of xgboost and its wrapper.
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* Basic walkthrough of wrappers. [python](guide-python/basic.py) [R](guide-R/basic.R)
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* Cutomize loss function, and evaluation metric. [python](guide-python/custom_objective.py) [R](guide-R/custom_objective.R)
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* Boosting from existing prediction. [python](guide-python/boost_from_prediction.py) [R](guide-R/boost_from_prediction.R)
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* Predicting using first n trees. [python](guide-python/predict_first_ntree.py) [R](guide-R/predict_first_ntree.R)
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* Cross validation(to come)
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Benchmarks
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====
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* [Starter script for Kaggle Higgs Boson](kaggle-higgs)
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