Communication customer loss early warning method and device, electronic equipment and storage medium

The invention relates to a communication customer loss early warning method and device, electronic equipment and a storage medium. The communication customer loss early warning method comprises the following steps: S1, data cleaning: carrying out ETL data cleaning on communication data including cus...

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Main Authors ZHOU XIAOHUI, WANG HUACHAO
Format Patent
LanguageChinese
English
Published 07.04.2023
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Abstract The invention relates to a communication customer loss early warning method and device, electronic equipment and a storage medium. The communication customer loss early warning method comprises the following steps: S1, data cleaning: carrying out ETL data cleaning on communication data including customers; s2, fusing an original data set of the production model; s3, performing comprehensive sampling on the original data set in the S1 by adopting a self-adaptive comprehensive oversampling algorithm to generate a model sample data set; s4, dividing a% sample training set and a 1-a% reserved set on the training set, and performing first-layer model training to output a new training set feature value and a new test set prediction value; s5, constructing a second-layer model based on a LightGBM algorithm, inputting the new training set feature value and the new test set feature value into a LightGBM model, and outputting a model meeting the preset model precision after training; and S6, the Blending fusion model o
AbstractList The invention relates to a communication customer loss early warning method and device, electronic equipment and a storage medium. The communication customer loss early warning method comprises the following steps: S1, data cleaning: carrying out ETL data cleaning on communication data including customers; s2, fusing an original data set of the production model; s3, performing comprehensive sampling on the original data set in the S1 by adopting a self-adaptive comprehensive oversampling algorithm to generate a model sample data set; s4, dividing a% sample training set and a 1-a% reserved set on the training set, and performing first-layer model training to output a new training set feature value and a new test set prediction value; s5, constructing a second-layer model based on a LightGBM algorithm, inputting the new training set feature value and the new test set feature value into a LightGBM model, and outputting a model meeting the preset model precision after training; and S6, the Blending fusion model o
Author WANG HUACHAO
ZHOU XIAOHUI
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Snippet The invention relates to a communication customer loss early warning method and device, electronic equipment and a storage medium. The communication customer...
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COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
PHYSICS
Title Communication customer loss early warning method and device, electronic equipment and storage medium
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