hgboost is a python package for hyper-parameter optimization for xgboost, catboost or lightboost using cross-validation, and evaluating the results on an independent validation set. hgboost can be applied for classification and regression tasks.
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健康狀況三分類預測專案：包含建模重點與模型解果，Public LB最佳成績為 0.94960；Private Score為 0.95010；最後排名為約 前20%。
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