Customer loss prediction method and device and storage medium
A technology of customer churn and prediction method, which is applied in the field of data processing, can solve problems such as low accuracy and retention of customers by business personnel, and achieve the effects of reducing customer churn, improving prediction accuracy, and enriching types
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[0061] This application analyzes the acquisition method of the existing customer churn prediction model. Although the existing technology proposes to train different customer churn prediction models for different types of customers, the current classification of customers is usually achieved by using a clustering algorithm. , or simply divide customers into ordinary customers and VIP customers, the former cannot realize the classification of unknown customers, and the latter classification method is too simple. There is a large gap in categories, and this classification method is not applicable to bank customers. Therefore, in order to improve the customer classification method, this application proposes to subdivide bank customers by combining services and clustering algorithms. For the specific classification method, please refer to the description in the corresponding part of the following embodiments.
[0062] In addition, for the definition of customer churn rules, for ga...
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