Exoplanet Detection Using Machine Learning
Abstract
The detection of exoplanets plays a crucial role in understanding planetary systems beyond our solar system. Traditional detection techniques often require extensive manual verification, making automated solutions desirable. In this study, a machine learning–based approach for exoplanet detection is proposed using data from the NASA Kepler mission. After preprocessing and feature selection, a Random Forest classifier is trained to distinguish confirmed exoplanets from false positives. Experimental results demonstrate that the proposed model achieves an accuracy of 99.29
Fields of Study & Subjects
Stellar
planetary
and galactic studies
Astronomical Observations and Instrumentation
Space Science and Extraterrestrial Life
Publication details
- Journal / source
- Iconic Research and Engineering Journals
- Volume
- 9
- Issue
- 8
- Publication date
- 4 February 2026
- Language
- EN