Health Professions
a year ago

Random Forest Outperforms Logistic Regression in Predicting Heart Disease Accuracy

Prediction of Heart Disease using Random Forest in Comparison with Logistic Regression to Measure Accuracy
Guna Sekhar Reddy Thummala, Radhika Baskar, S RimlonShibi

Paper Summary

The study compared two methods, logistic regression and random forest, to predict heart disease. Random forest had a higher accuracy rate of 87.64% compared to logistic regression's 80%. This means random forest is better at predicting heart disease than logistic regression.

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