Taxi Demand Prediction Based on a Combination Forecasting Model in Hotspots

Table 3

Random forest regression parameter description.

Parameters	Introduction
n_estimators	Number of submodules
Criterion	Method to judge whether the node continues to split
max_features	Maximum number of features involved in judging when node splits
max_depth	Maximum depth
min_samples_split	Minimum number of samples required for splitting
min_samples_leaf	Leaf node minimum sample number
min_weight_fraction_leaf	Minimum total sample weight of leaf nodes
max_leaf_nodes	Maximum number of leaf nodes