E-COMMERCE CUSTOMER CHURN ANALYSIS USING HYPER PARAMETERED TREE ALGORITHM

• Author(s):

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

• Keywords:

  E-commerce, Customer Churn, AdaBoost Algorithm, GridSearchCV, Classification, Boosting.

• 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

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Other Details

• Paper id:

  IJSARTV9I1173456

• Published in:

  Volume: 9 Issue: 11 November 2023

• Publication Date:

  2023-11-04

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