Accuracy Prediction for Music Therapy Data using Kappa Model

This research explores the therapeutic potential of music, specifically Indian classical ragas, for individuals suffering from diabetes, hypertension, and thyroid disorders. The proposed system uses a LGBM classifier model which analyses a dataset comprising 417 data entries of patients. Kappa model is used to check the performance of a classification model. Findings gave good results that classical ragas have measurable effects on sugar levels, hypertension, and thyroid function. Machine learning model plays an important role to show the improvements in health. Finally, Kappa score of 0.7319 indicates that model is substantially moderate which is a good level of agreement. And Machine learning model also gives accuracy of 86.90%. Thus, Music Therapy acts an alternative medicine which is a unique and novel approach.