Development of Customs Prediction Model for Online Ordering
Authors:
- Lina I. SharawiLSLina I. Sharawi
- George SammourGeorge Sammour
- Hamzah QabbaahHQHamzah Qabbaah
- Koen VanhoofKVKoen Vanhoof
- 1 October 2017
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- p. 94-97
Abstract
As a result of the rapid increase of online shopping, and the movement of products in and out among various countries, governments made it mandatory to pay a certain fee referred to as customs to maintain each country's economy, based on some rules i.e. weight and price. This paper proposes a model to anticipate and inform the customer if his order is going to be subject to customs or not based on some pre-defined rules. The model is built using a software called SPSS and data mining techniques such as; Decision Tree (DT) and logistic regression. A comparison between the two data mining techniques is made showing that the DT results were better than the logistic regression in terms of accuracy, precision, recall and f-score.Keywords
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