SDSS17_Stellar_Classification

Classification of Stars, Galaxies and Quasars using Sloan Digital Sky Survey DR17 Dataset.
This project focuses on classifying cosmic objects using the SDSS17 dataset. The aim is to distinguish between stars, galaxies, and quasars through machine learning techniques.

Models Implemented

Two different models were utilized for classification:

• Logistic Regression: Achieved an accuracy of 93%.
• Decision Tree: Outperformed the previous model with an accuracy of 97%.

Confusion Matrix for Logistic regression:

Confusion Matrix for Decision tree: