Table 1 Main parameters and meanings of LightGBM algorithm.

From: Hybrid boosted attention-based LightGBM framework for enhanced credit risk assessment in digital finance

Variable

Description

Value

learning rate

Learning rate

0.1

num_leaves

Number of node leaves per tree

25

max_depth

Maximum learning depth

8

min_data

Minimum number of data in leaf node

200

feature_fraction

Proportion of selected features in total features, range [0~1]

1

bagging_fraction

Proportion of selected data in total data, range [0~1]

0.5