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Ke Peng
Institution:
Sichuan University of Science and Engineering
Observed institution:
Sichuan University of Science and Engineering
ORCID:
0009-0004-6862-1628
Observed ORCID:
0009-0004-6862-1628
OpenAlex ID:
A5079587052
Research on customer churn prediction and model interpretability analysis
2023
·
Ke Peng
, Yan Peng
, et al.
·
PLoS ONE
·
73
PDF
Research on Telecom Customer Churn Prediction Based on GA-XGBoost and SHAP
2022
·
Ke Peng
, Yan Peng
·
Journal of Computer and Communications
·
22
PDF
Supply Chain Demand Forecast Based on SSA-XGBoost Model
2022
·
Shifeng Ni
, Yan Peng
, et al.
·
Journal of Computer and Communications
·
11
PDF
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Works count:
3
Citation count:
106
H-index:
3
I10-index:
3
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