Advanced SDSS stellar classification — multi-class RF/SVM on photometric bands + redshift. >97% accuracy with colour-magnitude diagrams and per-class confidence output.
-
Updated
Mar 15, 2026 - Python
Advanced SDSS stellar classification — multi-class RF/SVM on photometric bands + redshift. >97% accuracy with colour-magnitude diagrams and per-class confidence output.
Photometric stellar object classifier distinguishing Stars, Galaxies and Quasars from SDSS u/g/r/i/z magnitudes and redshift. Includes PCA feature projection and CMD plots.
Add a description, image, and links to the spectral-type topic page so that developers can more easily learn about it.
To associate your repository with the spectral-type topic, visit your repo's landing page and select "manage topics."