Abstract

Machine Learning is a branch of Artificial Intelligence that predicts several naturally occurring events by training a model with some data and then using unseen data to test it. This paper seeks to analyze the performances of single and ensemble machine learning algorithms on the Cleveland Heart disease data set. Experimental study proves that the accuracy score and area under the ROC curve in the ensemble machine learning model is higher than the single machine learning model in predicting non-CVD and CVD patients.

Original languageEnglish
Article number012007
JournalJournal of Physics: Conference Series
Volume2571
Issue number1
DOIs
Publication statusPublished - 2023
Event2nd International Conference on Artificial Intelligence, Computational Electronics and Communication System, AICECS 2023 - Manipal, India
Duration: 16-02-202317-02-2023

All Science Journal Classification (ASJC) codes

  • General Physics and Astronomy

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