The heart model created using Random Forest classifier is being deployed using Streamlit and some modifications to the inital notebook. Accuracy is 89%
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As a medical student, one of the ravaging problems patient come to complain with is heart disease. This model makes a prediction of whether or not a person is liable to having a heart disease based on some clinical features. The accuracy is 89% though.
DereAbdulhameed/Heart_Model_Deployment
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As a medical student, one of the ravaging problems patient come to complain with is heart disease. This model makes a prediction of whether or not a person is liable to having a heart disease based on some clinical features. The accuracy is 89% though.
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