https://github.com/tonmoytalukder/heart_disease_prediction
https://github.com/tonmoytalukder/heart_disease_prediction
decision-tree-classifier decision-trees machine-learning machine-learning-algorithms machinelearning python
Last synced: 8 months ago
JSON representation
- Host: GitHub
- URL: https://github.com/tonmoytalukder/heart_disease_prediction
- Owner: TonmoyTalukder
- Created: 2021-10-15T12:02:49.000Z (about 4 years ago)
- Default Branch: main
- Last Pushed: 2021-10-20T19:19:48.000Z (about 4 years ago)
- Last Synced: 2025-01-31T19:45:56.755Z (10 months ago)
- Topics: decision-tree-classifier, decision-trees, machine-learning, machine-learning-algorithms, machinelearning, python
- Language: Jupyter Notebook
- Homepage:
- Size: 800 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# 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.*