Skip to content

Releases: pateltanvi2992/Prediction-of-Cardiovascular-Disease-and-survivability-using-Support-Vector-Machine-and-Naive-Bayes-

Prediction of Cardiovascular Disease and survivability using Support Vector Machine and Naive Bayes algorithm

12 Jul 14:23
@pateltanvi2992 pateltanvi2992
p1.1-Heart
ec95703
This commit was created on GitHub.com and signed with GitHub’s verified signature. The key has expired.
GPG key ID: 4AEE18F83AFDEB23
Expired
Learn about vigilant mode.
Compare
Choose a tag to compare
Prediction of Cardiovascular Disease and survivability using Support Vector Machine and Naive Bayes algorithm Pre-release
Pre-release

With the aid of Naive Bayes and Support vector Machine techniques, code was utilized to forecast heart disease and survival. This code also generates statistics for the prediction results as well as contributions to the projection outcomes. In this project, the accuracy, precision, recall, and AUC are calculated using a training dataset of 80 percent and a test dataset of 20 percent.

Assets 2
Loading