Table 4.

Parameter selection through grid search.

RF			XGB			ANN
Model Parameters	Considered Range	Optimum Value	Model Parameters	Considered Range	Optimum Value	Model Parameters	Considered Range	Optimum Value
Minimum sample leaf	(1, 2, 3)	3	Maximum depth	1 to 20	15	Number of epochs	(20, 50, 100, 200, 250]	200
Minimum sample split	(2, 4, 8, 16)	8	Gamma	0.1 to 1	1	Batch size	(32, 64, 128, 256)	32
Number of estimator	(20, 30, 50, 100, 150, 200, 250)	150	Number of estimator	50 to 1000	500	Learning rate	(0.001, 0.01, 0.1, 0.2, 0.3)	0.2
Maximum features	(3, 5, 7, 9)	3	Learning rate	0.1 to 1	0.1	Momentum	(0.0, 0.2, 0.4, 0.6, 0.8, 0.9)	0.9