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Volume 9, Issue 11 (November 2023)

E-commerce Customer Churn Analysis Using Hyper Parametered Tree Algorithm

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Volume 12 Issue 07

July 2026

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Author(s)

Mr M .Vignesh R M .Subramanian S .Neha S .Karthikeyan |S .Manikandan

Abstract

In This Study, We Employ The AdaBoost Algorithm In Conjunction With GridSearchCV To Analyze Customer Churn In E-commerce. AdaBoost Is A Boosting Algorithm That Combines Multiple Weak Learners To Create A Strong Predictive Model. GridSearchCV Is Used To Op


Keywords

E-commerce Customer Churn AdaBoost Algorithm GridSearchCV Classification Boosting.

Paper ID

IJSARTV9I1173456

Publication Date

November 4, 2023

Research Area

Artificial Intelligence And Data Science

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