Published
Yurii Tverdokhlib (1), Vasyl Andrunyk (1), Liliya Chyrun (1), Lyubomyr Chyrun (2), Nataliya Antonyuk (2, 3), Ivan Dyyak (2), Oleh Naum (4), Dmytro Uhryn (5), Vitor Basto-Fernandes (6)
1 - Lviv Polytechnic National University, Lviv, Ukraine
2 - Ivan Franko National University of Lviv, Lviv, Ukraine
3 - University of Opole, Opole, Poland
4 - Drohobych Ivan Franko State Pedagogical University, Drohobych, Ukraine
5 - Chernivtsi Philosophical and Legal Lyceum, Chernivtsi, Ukraine
6 - University Institute of Lisbon, Lisbon, Portugal
This article discusses and compares some machine-learning regression methods for developing a prognostic model that predicts the daily number of visi-tors in different areas (tourist places) of India. Visitor reviews from holiday-iq.com are used as data. The main features of the selected data set are described.
1 - Lviv Polytechnic National University, Lviv, Ukraine
2 - Ivan Franko National University of Lviv, Lviv, Ukraine
3 - University of Opole, Opole, Poland
4 - Drohobych Ivan Franko State Pedagogical University, Drohobych, Ukraine
5 - Chernivtsi Philosophical and Legal Lyceum, Chernivtsi, Ukraine
6 - University Institute of Lisbon, Lisbon, Portugal
This article discusses and compares some machine-learning regression methods for developing a prognostic model that predicts the daily number of visi-tors in different areas (tourist places) of India. Visitor reviews from holiday-iq.com are used as data. The main features of the selected data set are described.
- Category
- Poland
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