Indexed In Scopus
  Scopus ID: 21100926589

Predicting Profit Ratio for E-Commerce

Amirta V and Nishigandha Lad

Abstract

Sustaining for a longer amount of time is essential for any business in the fiercely competitive E-commerce market. The period of sustainability of the company is directly related to the profit made by the company. Predicting the profit ratio helps the company to stay one step ahead in the competition. In this paper three predictive models Multiple, Ridge and Elastic net regression models are presented and compared to choose the best suitable model for predicting the Profit Ratio. The Ridge regression model proves to be the best with 0.8313 R2 value among proposed models and yields best results.

Published on: March 08, 2023
doi: 10.17756/nwj.2023-s1-004
Citation: Amirta V, Nishigandha L. 2023. Predicting Profit Ratio for E-Commerce. NanoWorld J 9(S1): S16-S19.

| Download Citation (XML)

72 Downloads
Bitnami