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heart_disease_prediction's Introduction

Heart_Disease_Prediction_with_Python

Author: Tonmoy Talukder

CS Undergrad, AUST, Dhaka 1208, Bangladesh

Dataset Reference:

Browse The Dataset From Kaggle

Browse The Dataset From UCI Website

Outcome:

1st Model Result:
Model is saying 75% Heart Disease patients are Male.

About The 1st Model:
We are getting the Precision value from the model is 7.5 out of 10. What should be more near to 10. The Accuracy of the model is 63.74%. If the rate would more than 85% and the precision value is greater than 8 then we can say this model is pretty good, the model is not what.

2nd Model Result:
Model is saying 81.67 % patients has Heart Disease.

About The 2nd Model:
We are getting the Precision value from the model is 7.9 out of 10. What should be more near to 10. The Accuracy of the model is 81.67%. If the accuracy rate would more than 85% and the precision value is greater than 8 then we can say this model is pretty good, but the model is not what.

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