Table 2.

The parameters of the machine learning algorithm used for stage-discharge modelling.

Model name	Description of parameters
Random Subspace (RSS)	Batch size-100, Classifier = REPTree, random seed-1, subspace size = 0. 5, numbers of executions slots = 1, number of iterations = 10
Reduced Error Pruning Tree (REPTree)	Batch size-100, Initial count = 0, number of folds = 3, random seed = 1, minimum proportion of the variance = 0.001, minimum number = 2, max depth = 1
Support Vector Machine (SVM)	Function estimation- F, Value of the gamma variable −10, Kernel type – RBF_Kernel, Kernel parameter = 0.2
M5 Pruned (M5P)	Batch size-100, Minimum number of instances = 4