Random Forest Algorithm for Thyroid Detection Using Machine Learning

Random Forest Algorithm for Thyroid Detection Using Machine Learning

Department of Information Technology

JSPM’s Rajarshi Shahu College of Engineering, Tathawade, Pune-411033

Abhishek Markad, Amit Goge , Suraj Jadhav , Vipul Jadhao, Prof Savita Adhav

1.      Undergraduate Student, JSPM’s Rajarshi Shahu College of Engineering, Pune, India

2.      Professor: Department of Information Technology, JSPM’s Rajarshi Shahu College of Engineering, Pune, India

Abstract: Thyroid detection is an important medical diagnosis task that requires accurate and efficient methods. In this paper, we propose using the Random Forest algorithm for detecting the presence of thyroid in a person using machine learning. We trained the algorithm on a dataset of thyroid images and evaluated its performance using various metrics. Our results demonstrate that the Random Forest algorithm is a reliable and accurate method for detecting the presence of thyroid in a person.