SMART RETAIL ENSEMBLE TECHNIQUES FOR CUSTOMER ANALYSIS

Authors

  • Jayavelu Balaji

Keywords:

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Abstract

Bagging Technique is one of the method introduced by Leo Bierman at UC Berkley. This method emphasis reducing the variance by retaining the Bias. This is possible if predictors average is taken in different spaces of the taken input feature Space. Its an Effective Technique because accuracy of the model is increased by using the multiple copies of it trained on different sets of data.

References

. Working Analytics, workinganalytics.com/case-studies-2/.

. Crossman, Ashley. “Data Cleaning for Data Analysis in Sociology.” ThoughtCo, www.thoughtco.com/data-cleaning-3026541.

. Data Analysis, ori.hhs.gov/education/products/n_illinois_u/datamanagement/datopic.html.

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Published

2023-08-02

How to Cite

Jayavelu Balaji. (2023). SMART RETAIL ENSEMBLE TECHNIQUES FOR CUSTOMER ANALYSIS. Journal of Computational Analysis and Applications (JoCAAA), 31(3), 555–577. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/2149

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Articles