ssvas1997 / Heart-Disease-Classification

Classifying whether a patient has heart disease or not

Heart-Disease-Classification

Classifying whether a patient has heart disease or not

I have used a standard Heart Disease UCI dataset. The classification is performed using KNN (7 Neighbors), SVM, Decision Tree and MLP.

Accuracy in %

• K Nearest Neighbor (7 Neighbors) : 90.16%
• Support Vector Machines : 83.61%
• Decision Tree : 75.41%
• Multi Layer Perceptron : 85.25%

To view the code and Output

• Open the heart.ipynb in Desktop Mode (Google Chrome) OR in Jupyter Notebook
• Dataset URL: https://archive.ics.uci.edu/ml/datasets/Heart+Disease