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View Code? Open in Web Editor NEWThis Project is my attempt at solving the music genre classification or MGR problem. I have used a model ensembling approach by bagging together the weighted prediction probabilities of three different classifiers. The algorithms used were XGBoost, CatBoost and Radnom Forest Classifer. My ensembled model was able to reach 97.8% Val. Accuracy
License: MIT License