MACHINE LEARNING MODEL FOR CUSTOMER CHURN
Keywords:
customer retention, machine learning, artificial intelligenceAbstract
The subject of this paper is the presentation of a case for using artificial intelligence to increase the client base of companies. The data used in this research is the data from KAGGLE, more precisely they are taken from the IBM customer loyalty database. Part of this database is presented at the data mining competition PAKDD 20061. In this paper we present three models for artificial intelligence, logistic regression, gradient boosting and random forest. The results show that the best model can predict with 93% probability whether a potential customer would remain a customer of the company. Application of this model or similar models can be found in creating a policy for managing customer relations, but also for the overall sales policy.
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