Method and system for forecasting the loss of telecommunication customers and electronic device

Abstract

The invention provides a method and a system for forecasting the loss of telecommunication customers, and an electronic device. The method comprises the following steps: calculating the sample dividing proportion corresponding to the on-line customers and the off-line customers respectively in a telecommunication network, and determining the improved Gini base number of a random forest algorithm based on the sample dividing proportion corresponding to the on-line customers and the off-line customers respectively; based on the improved Gini cardinality, using a stochastic forest algorithm to predict the loss of telecommunication customers. The sample division ratio represents the proportion of the sample size of the selected corresponding category customers in the network state to the totalnumber of the category customers in the network state. The invention can effectively solve the problem of low accuracy rate of customer churn prediction caused by imbalance between categories under unbalanced data, especially low accuracy rate of high-value user prediction.

Description

technical field [0001] The present invention relates to the technical field of information management, and more specifically, relates to a method, system and electronic equipment for churn prediction of telecommunication customers. Background technique [0002] With the development of the telecommunications industry, customers have more and more room to choose telecommunications products and telecommunications companies, and the management of telecommunications customer churn is particularly important in the increasingly competitive telecommunications industry. When the market is becoming saturated, the cost of developing new customers is far greater than the cost of retaining existing customers. Therefore, predicting potential churn customers is particularly important for companies, and it is necessary to build models aimed at discovering customers with a tendency to churn. [0003] At present, the customer churn prediction model is constructed mainly by analyzing the rele...

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Problems solved by technology

[0006] In order to overcome the above-mentioned problems or at least partially solve the above-mentioned problems, the present invention provides a telecommunications customer churn prediction method, system and electronic equipment, which are used to effectively solve the low accuracy of customer churn prediction caused by the imbalance between categories under unbalanced data , especially the low prediction accuracy of high-value users

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