Author(s)

Wenxi Zhang

Corresponding Author

Wenxi Zhang

ABSTRACT

In recent years, machine learning algorithms have been widely used in banking. This paper uses a variety of classic machine learning algorithms to model and analyze the marketing data of a Portuguese banking institution to predict whether customers will subscribe to the deposit service. Among those algorithms, the xgboost model is the best, and its prediction accuracy is 94.24%. Using this model, we can build a reasonable product marketing system for the bank.

KEYWORDS

Machine learning, Bank telemarketing, data analysis, xgboost