Utilization of Random Forest Classifier (RFC) To Predict the Quality of Beverages

In contemporary times, individuals strive to attain a lifestyle characterized by opulence and extravagance. Individuals often utilize these items either for ostentation or for their routine activities. Currently, the ingestion of fizzy beverages is widely prevalent among the general population. This study pertains to the prediction of beverage quality through the analysis of its diverse attributes. The dataset utilized in this study was obtained from publicly available sources, including Kaggle. The Random Forest algorithm was employed as a technique for analysis. Various performance measures are calculated and then compared across the training and testing sets to predict the overall quality of the beverage.