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Analysis of Classification Algorithms for the Prediction of Purchase Intention in Electronic Commerce

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Technologies and Innovation (CITI 2022)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1658))

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Abstract

The analysis focuses on data from an e-commerce retailer to identify the classification techniques for obtaining the best performances of validated classification algorithms. It is essential to highlight that this type of prediction is used in the commerce sector since it is a sector in constant development and allows to identify the consumer’s behaviour to variables such as average time on the website, transactions completed, pages rated, among others. The research focuses on Business to Consumer commerce, collecting data from the purchase sessions for 12 months. This allowed the comparison of the Naive Bayes model of Gaussian type, Random Forest and Extra Trees Classifier, which are finally validated against the results of Dummy classifier, highlighting the efficiency of Extra Trees Classifier. This type of study and the selection of the variables provide a higher correlation with the Revenue attribute, which is the one used as a prediction class. The efficiency of Extra Trees Classifier stands out in this type of study, together with the selection of the variables that provide the highest correlation with the Revenue attribute, which is the one used as the prediction class.

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Notes

  1. 1.

    https://github.com/maguirre2017/Online_ecommerce.

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Author information

Authors and Affiliations

  1. Facultad de Ciencias Agrarias “Dr. Jacobo Bucaram Ortiz”, Universidad Agraria del Ecuador, Av. 25 de Julio, Guayaquil, Ecuador

    Maritza Aguirre-Munizaga & Teresa Samaniego-Cobo

  2. Universidad Internacional de La Rioja, Av. Logroño, La Rioja, Spain

    Maritza Aguirre-Munizaga

  3. Facultad de Economía Agrícola, Universidad Agraria del Ecuador, Av. 25 de Julio, Guayaquil, Ecuador

    Javier Del Cioppo Morstadt

Authors
  1. Maritza Aguirre-Munizaga
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  2. Javier Del Cioppo Morstadt
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  3. Teresa Samaniego-Cobo
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Corresponding author

Correspondence to Maritza Aguirre-Munizaga .

Editor information

Editors and Affiliations

  1. Universidad de Murcia, Murcia, Spain

    Rafael Valencia-García

  2. Universidad Agraria del Ecuador, Guayaquil, Ecuador

    Martha Bucaram-Leverone

  3. Universidad Agraria del Ecuador, Guayaquil, Ecuador

    Javier Del Cioppo-Morstadt

  4. Universidad Agraria del Ecuador, Guayaquil, Ecuador

    Néstor Vera-Lucio

  5. Universidad Agraria del Ecuador, Guayaquil, Ecuador

    Emma Jácome-Murillo

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Aguirre-Munizaga, M., Del Cioppo Morstadt, J., Samaniego-Cobo, T. (2022). Analysis of Classification Algorithms for the Prediction of Purchase Intention in Electronic Commerce. In: Valencia-García, R., Bucaram-Leverone, M., Del Cioppo-Morstadt, J., Vera-Lucio, N., Jácome-Murillo, E. (eds) Technologies and Innovation. CITI 2022. Communications in Computer and Information Science, vol 1658. Springer, Cham. https://doi.org/10.1007/978-3-031-19961-5_3

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  • DOI: https://doi.org/10.1007/978-3-031-19961-5_3

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-19960-8

  • Online ISBN: 978-3-031-19961-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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