Star-Galaxy classification using machine learning algorithms and deep learning
2023, vol.15 , no.2, pp. 87-96
Cosmology is the study of the universe comprising stars and galaxies. Advancement in the telescope has made it possible to capture high-resolution images, which can be analysed using machine learning (ML) algorithms. This paper classifies the star galaxy dataset into two classes: star and galaxy using ML algorithms and compares their classification performance. It is observed that random forest provides better accuracy of 78% as compared to other ML classifiers. Further to improve the classification accuracy, we proposed a CNN (Convolution Neural Network) model and achieved an accuracy of 92.44%. Since the CNN model itself extracts the characteristics, it exhibits superior classification accuracy.
cosmology, star-galaxy classification, machine learning, convolution neural network
Amit Sadanand Savyanavar, Nikhil Mhala, Shiv H. Sutar. Star-Galaxy classification using machine learning algorithms and deep learning . International Journal on Information Technologies and Security, vol.15 , no.2, 2023, pp. 87-96. https://doi.org/10.59035/VVLR5284