Scholarlink

The primary driver of mortality in both industrialized and non-industrial countries is coronary illness, or CHD. It is very unsafe for your wellbeing. The objective of the review is to coordinate patient consideration and focus on early location. To increment execution, an ideal democratic classifier expectation model is utilized, along with a hyperparameter. The AdaBoost, Decision Tree, Gradient Boosting, XG Boost, CatBoost, and Light GBM with Focal Loss utilizing complex hyperparameter improvement utilizing OPTUNA. The democratic classifier using random forest and AdaBoost got an accuracy of 99.3%, precision of 98.2%, recall of 98.1%, and F1-score of 98.2% in our trial research. As an outcome, when estimated against different classifiers, the Democratic Classifier accomplishes the best score.

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Navigating Future Coronary Heart Disease Scenarios with Ensemble Learning

  • 会议论文

  • 发表日期：

    2025年

查看全文
  • Navya Jettoji,
  • L. Arokia Jesu Prabhu,
  • Vijender Solanki

摘要

The primary driver of mortality in both industrialized and non-industrial countries is coronary illness, or CHD. It is very unsafe for your wellbeing. The objective of the review is to coordinate patient consideration and focus on early location. To increment execution, an ideal democratic classifier expectation model is utilized, along with a hyperparameter. The AdaBoost, Decision Tree, Gradient Boosting, XG Boost, CatBoost, and Light GBM with Focal Loss utilizing complex hyperparameter improvement utilizing OPTUNA. The democratic classifier using random forest and AdaBoost got an accuracy of 99.3%, precision of 98.2%, recall of 98.1%, and F1-score of 98.2% in our trial research. As an outcome, when estimated against different classifiers, the Democratic Classifier accomplishes the best score.