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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Format | Patent |
Language | Chinese 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 |
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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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DocumentTitleAlternate | 通信客户流失预警的方法、装置、电子设备及存储介质 |
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RelatedCompanies | BEST TONE INFORMATION SERVICE CO., LTD |
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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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Title | Communication customer loss early warning method and device, electronic equipment and storage medium |
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