Improving the efficiency of heart disease prediction using novel random forest classifier over support vector machine algorithm

Cardiometry

article

P. Prasanna Sai Teja¹  Veeramani T¹ 

[1] Department of Computer Science and Engineering, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Saveetha University

关键词: Machine Learning;    Novel Random Forest;    Support Vector Machine;    Classification;    Heart Disease Prediction;    Data Mining;   

DOI  :  10.18137/cardiometry.2022.25.14681476

学科分类：环境科学（综合）

来源: Russian New University

【 摘 要 】

0.05) with a 95% confidence interval.Conclusion: Novel Random Forest outperforms SVM in terms of prediction and accuracy when compared to it.

【 授权许可】

CC BY