Solution to the problem of creating a random forest ensemble for classification of phone models by price categories

The article discusses the creation and use of random forest ensembles of decision trees for predictive analytics by the example of solving the problem of classifying eighty phone models with twenty features in four price categories. A comparative analysis of the obtained solution with a solution based on the decision tree method was also carried out.