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Updated: Feb 14, 2026

Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model
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Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model

Published on: April 18, 2025

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空気品質指数予測のためのアンサンブル学習:グラデント増強,XGBoost,およびSHAPベースの解釈可能性によるスタッキングを統合する

Sukhendra Singh1, Manoj Kumar2, Vishal Sengar3

  • 1Department of Information Technology, JSS Academy of Technical Education, Noida, Noida, Uttar Pradesh, India.

Scientific reports
|February 12, 2026
PubMed
まとめ

この研究は,正確な空気の質予測のための新しいアンサンブルモデルを導入し,ディープラーニング方法を上回ります. 解釈可能なシステムは,都市空気の品質管理と公衆衛生のイニシアチブを強化します.

キーワード:
空気質指数 (AQI) とはアセンブル・ラーニングは,アセンブル・ラーニングの学習です.特性エンジニアリングは,機能エンジニアリングです.グラデーションのブーストアップ機械学習 (Machine Learning) とは,機械学習 (Machine Learning) について学ぶことです.予測モデリング

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