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 language | English |
|---|---|
| Article number | 012007 |
| Journal | Journal of Physics: Conference Series |
| Volume | 2571 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 2023 |
| Event | 2nd International Conference on Artificial Intelligence, Computational Electronics and Communication System, AICECS 2023 - Manipal, India Duration: 16-02-2023 → 17-02-2023 |
All Science Journal Classification (ASJC) codes
- General Physics and Astronomy
Fingerprint
Dive into the research topics of 'Performance analysis of machine learning algorithms: Single Model VS Ensemble Model'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver