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@mapami

AWS Certified AI Practitioner（AIF）対策：XGBoost

Last updated at Posted at 2024-12-16

XGBoost

『ブースティングという手法を用いて、弱い予測モデルを組み合わせて、強力な予測モデルを作る手法』

特徴

  • 分類
  • 回帰

で高い精度を発揮します。

並列処理

他のアルゴリズムと比較して非常に優れている点は、並列処理による高速な学習ことです。

  • 大量のデータでも素早く学習することができます。

多くの「弱い」モデル（通常は決定木）を組み合わせて、全体として強いモデルを作る アンサンブル学習 の手法の一つです。

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