[Retracted] Application Analysis of the Machine Learning Fusion Model in Building a Financial Fraud Prediction Model

Table 5

. Parameters list of RF model.

No.	Parameters name	Implication
1	max_features	The maximum number of features is considered in the delineation
2	max_depth	Limit the depth of the subtree when building it, taking values between 10 and 100
3	min_samples_split	Restrict the condition of subtree continues to divide. The default is 2. If the number of samples is too large, the value should be increased
4	min_samples_leaf	Limit the minimum samples number of leaf nodes, the default is 1