РОЗВ’ЯЗАННЯ ЗАДАЧІ ПРОГНОЗУВАННЯ ВІДТОКУ ГРАВЦІВ В ІГРОВІЙ ІНДУСТРІЇ

The problem of predicting the outflow of players in the gaming industry as a classification problem is considered. To solve the problem using machine learning methods, it is proposed to use the gradient boosting method. To improve the quality of classification, it is proposed to identify the features that are most influential for the churn forecasting.