shivakrishna2497/HeartDiseasePrediction

The project involved analysis of the heart disease patient dataset with proper data processing. Then, 6 models were trained and tested with maximum scores as follows: 1)K Neighbors Classifier: 87% 2)Support Vector Classifier: 83% 3)Decision Tree Classifier: 79% 4)Random Forest Classifier: 84% 5)Logistic Regression:84% 6)Naive Bayes:80% In the end, K Neighbors Classifier achieved the highest score of 87% with 8 nearest neighbors.

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