Carnatic Raga Identification Model

This is a LightGBM model trained to classify 15 Carnatic Ragas from statistical features derived from pitch contours.

Model Type: LightGBM
Accuracy: Achieved an average cross-validation accuracy of 84.44%.
Ragas: Behāg, Bhairavi, Bēgaḍa, Kamās, Kāmavardani, Madhyamāvati, Mukhāri, Mōhanaṁ, Sindhubhairavi, Suraṭi, Sāvēri, Tōḍi, Varāḷi, Ānandabhairavi, Ṣanmukhapriya