ANALYSIS OF QUALITY ASSESSMENT METHODS FOR ENTERPRISES, PROCESSING GRAPE RAW MATERIALS, IN MACHINE LEARNING

This article analyzes the assessment methods of finished products applied in enterprises using grape raw materials. For this purpose, it is possible to use the random forest algorithm, support vector machine and naive Bayesian methods to predict the evaluation. In addition, it is advisable to use neural network for the regression problem.