Thyroid Disease Detection Using Machine Learning Classification Algorithms

Thyroid disease, also known as one of the most common diseases among the humans. It is one of the essential organs in our body responsible for controlling metabolism. In this project, we predict the Thyroid disease into four classes. The four classes namely being “Primary Hypothyroid”, “secondary Hypothyroid”,” Compensated Hypothyroid” and “Negative”. We also aim at bringing out the best accuracy possible using the Classification algorithms such as KNN and Random Forest. The Dataset has been taken from Machine learning UCI repository. The primary aim of this project is to predict the risk of Hypo-thyroid on a person.