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@mapami

AWS Machine Learning Engineer Associate 対策：モデルのパフォーマンス改善

Last updated at Posted at 2025-01-02

モデルのパフォーマンス改善

モデルのパフォーマンス改善には、モデルの複雑さを適切に調整することが重要です。

特徴量が多すぎると以下の問題が発生します。

  • 計算量の増加による処理時間の長期化
  • 冗長な情報による過学習のリスク
  • メモリ使用量の増加

特徴量選択手法

  • 主成分分析
  • L1正則化

を用いて重要な特徴量のみを残すことで、これらの問題を解決できます。

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