Prediction of Ticket Prices for Public Transport Using Linear Regression and Random Forest Regression Methods: A Practical Approach Using Machine Learning-Reference-Cited by-同舟云学术

Prediction of Ticket Prices for Public Transport Using Linear Regression and Random Forest Regression Methods: A Practical Approach Using Machine Learning

Published:2020 Issue: Volume: Page:140-150
ISSN:1865-0929
Container-title:Data Science and Analytics
language:
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Author:

Aditi ^ORCID,Dutta Akash^ORCID,Dureja Aman^ORCID,Abrol Salil^ORCID,Dureja Ajay^ORCID

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-15-5827-6_12

Reference15 articles.

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4. Figure 2f from, Irimia, R., Gottschling, M.: Taxonomic revision of Rochefortia Sw. (Ehretiaceae, Boraginales). Biodivers. Data J. 4, e7720 (2016). https://doi.org/10.3897/BDJ.4.e7720 . Random Forest Regression, pp. 1–12 (n.d.). https://doi.org/10.3897/bdj.4.e7720.figure2f

5. Ghodsi, R.: Estimation of housing prices by fuzzy regression and artificial neural network. In: Fourth Asia International Conference on Mathematical/Analytical Modelling and Commuter Simulation, no. 1 (2010)

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