abubakerSherif/A-Health-Status-Classification-Model

The source code published is for health status classification model. The data used to train this model is a combination of abnormal [1] and normal [2] people datasets in order to predict the health status of a human based on the vital signs measured from him/her. The training is done based on Voting Classifier model that trains on an ensemble of three trained models ( Logistic Regression classifier, K-Nearest Neighbours classifier, Linear SVC classifier).

These files are published under CC0 license.