Method for Characterization of Customer Churn Based on LightBGM and Experimental Approach for Mitigation of Churn

نویسندگان

چکیده

A method for customer churn characterization based on LightBGM (Light Gradient Boosting Machine) is proposed. Additionally, experimental approaches mitigation of are conducted through prediction. The experiments reveal several characteristics such as age dependency, gender dependency (with a high divorce rate among female customers), number visits higher customers with fewer visits), unit price (per hair salon visit) withdrawal lower-priced services), date first visit recent last and menu low attrition rates gray dye school child cuts) so on. Through the experiments, these dependencies clarified. It found that most significant factor character. Also, it “distance to salon” may be related availability parking lots, although this has insignificant impact rate.

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ژورنال

عنوان ژورنال: International Journal of Advanced Computer Science and Applications

سال: 2023

ISSN: ['2158-107X', '2156-5570']

DOI: https://doi.org/10.14569/ijacsa.2023.0140613