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Image Search Results
Journal: Scientific Reports
Article Title: Predicting tourism growth in Saudi Arabia with machine learning models for vision 2030 perspective
doi: 10.1038/s41598-025-32509-6
Figure Lengend Snippet: Long-horizon tourism forecasts for 2024–2034. The future input features were generated using a univariate time-series model (Prophet), and the projected tourist numbers were predicted using the VotingR2, Gradient Boosting (GB), Random Forest (RF), and HistGradientBoosting (HGB) models.
Article Snippet: More broadly, existing works on the Kingdom’s tourism sector tend to rely on traditional econometric or
Techniques: Generated