Research on Customer Bank Product Purchase Intention Prediction Based on XGboost Algorithm

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Year:
2024
Type of Publication:
Article
Keywords:
Bank Customer Behavior, Embedded Feature Selection, Model Comparison, XGboost
Authors:
Kecheng Ye
Journal:
IJISM
Volume:
12
Number:
6
Pages:
26-35
Month:
November
ISSN:
2347-9051
Abstract:
With the rapid development of "Internet Plus" and the deepening application of big data technology, various industries have accumulated a large amount of user behavior information. Based on better meeting the needs of users, user-centric behavior analysis has become the focus of various industries, and providing good user experience services is the key to enterprise development. Traditional commercial banks have a large business volume and a large number of users. Banks expect to analyze the historical behavior of users and predict the banking products that users will buy in the future, so that they can adjust their business according to the needs of users and adapt to the trend of the development of Internet finance. Based on the above background, this paper researches and analyzes the historical behavioral data of bank users, and proposes a prediction model of customers' intention to purchase bank products based on integrated learning. Firstly, the original dataset is preprocessed to deal with the problems of missing data and anomalies, while the feature coding is applied to transform the non-numeric features. For feature engineering, embedded feature selection is used to make selection of features. Subsequently, the construction of the customer intention prediction model based on the XGboost model model is carried out and the model evaluation is conducted, and the analysis finds that all the indicators of XGboost are higher, indicating that the model has a better performance, and it can be used to accurately predict the customer's intention of purchasing the bank products, so as to improve the efficiency of the bank's work and the level of its business, and to provide a reference for the commercial banks when providing products to customers.

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