Particle Swarm Optimization-Based Support Vector Regression for Tourist Arrivals Forecasting

Algorithm 2

Random forest—Recursive feature elimination (RF–RFE).

(1)	Define: let T be the data set. be the set of p original features; R () be the final ranking; N be the desired number of features.
(2)	Output: subset of features F
(3)	for k ⟵ 1 to N do
(4)	Rank set F using random forest
(5)	⟵ last ranked feature in F
(6)	R (p – i + 1) ⟵
(7)	F ⟵ F –
(8)	end