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. 2020 Jul 22;20(15):4064. doi: 10.3390/s20154064

Table 4.

The parameters used in the random forest algorithm.

Parameter Description Value
n_estimators Max number of the decision trees 160
criterion The principle function used to separate a branch Gini
max_features Max number of the features considering when separating a branch All
max_depth Max depth of the tree No limit
min_samples split The minimum number of samples at least remains in one node that can be split. 10
min_samples leaf The minimum number of samples at least remains in leaf nodes. 1