Integrating Metaheuristics in Computer Vision for Real-World Optimization Problems

9Comparative Evaluation and Prediction of Exoplanets Using Machine Learning Methods

Divneet Singh Kapoor^1,2*, Kiran Jot Singh^1,2, Ashirvad Singh³, Benarji Mulakala³, Karan Singh³, Prashant³, Ramanjeet Singh^1,4 and Shubham Mahajan^5,6,7

¹Kalpana Chawla Centre for Research in Space Science & Technology, Chandigarh University, Mohali, Punjab, India

²Electronics and Communication Engineering Department, Chandigarh University, Mohali, Punjab, India

³Computer Science and Engineering Department, Chandigarh University, Mohali, Punjab, India

⁴University Institute of Computing, Chandigarh University, Mohali, Punjab, India

⁵School of Engineering, Ajeenkya D Y Patil University, Pune, Maharashtra, (iNurture Education Solutions Pvt. Ltd., Bangalore), Pune, Maharashtra, India

⁶University Centre for Research & Development (UCRD), Chandigarh University, Mohali, Punjab, India

⁷Hourani Center for Applied Scientific Research, Al-Ahliyya Amman University, Amman, Jordan

Abstract

Exoplanet prediction using machine learning algorithms has the potential to significantly advance our understanding of these mysterious celestial bodies. In this project, a variety of machine learning algorithms were used, including support vector machines, logistic regression, k-nearest neighbours, random forest, and extreme gradient boosting, to make predictions about the existence of exoplanets and which their type. For this two datasets are used. With one dataset, a model that predicts the existence of an exoplanet was ...