The number of features (
) and the number of decision trees (
) are hyperparameters that need to be determined through experiments. A comprehensive number of experiments are carried out by varying the parameter values as shown Table 4.
Table 4
Tested values of RF parameters
| Parameters | Tested values |
|---|---|
Number of features,  | {3,4,5,6,7,8,9} |
Number of decision trees,  | {10, 20, 30, …, 200} |
| Parameters | Tested values |
|---|---|
| Number of features, | {3,4,5,6,7,8,9} |
| Number of decision trees, | {10, 20, 30, …, 200} |