Mapping Bus and Stream Travel Time Using Machine Learning Approaches

Table 2

List pf parameters involved in GBM.

S. No.	Parameter	Range of values	Calibrated value
1	No. of trees	Positive integers	2600
2	Maximum depth		8
3	Maximum samples split		7
4	Maximum samples leaf		30
5	Learning rate	(0, 1]	0.01
6	Subsample size	(0, 1]	0.4
7	Maximum number of features	“auto,” “sqrt,” “log2,” int values, float values	“sqrt”