Evaporation Rate Prediction Using Advanced Machine Learning Models: A Comparative Study

Algorithm 1

Gradient boosting machine model.

Input: Train data
Data includes ….(xn, yn),
Loss function
Output: regression tree
(i)	Initialization
(ii)
	(a) For i T N, calculating the residuals.
	(b) Train a regression tree in order to fit the computed residual () and then obtain the leaf node area regarding tree
	(c) For j = 1 To J compute
	(d) Update the current model.
(iii)	Obtain the final additive model