Copyright
©The Author(s) 2023.
World J Diabetes. Oct 15, 2023; 14(10): 1541-1550
Published online Oct 15, 2023. doi: 10.4239/wjd.v14.i10.1541
Published online Oct 15, 2023. doi: 10.4239/wjd.v14.i10.1541
Figure 2 Variable importance analysis of random forest model.
A: The diagram shows that the value of each variable was changed into a random number, and the random forest also measured the degree of reduction in accuracy; B: The importance of each variable was compared by calculating the heterogeneous influence of each variable on the observations on each node of the classification tree. The larger the value, the greater the importance of the variable. BMI: Body mass index; DM: Diabetes mellitus; GDM: Gestational diabetes mellitus; Hb: Hemoglobin.
- Citation: Lin Q, Fang ZJ. Establishment and evaluation of a risk prediction model for gestational diabetes mellitus. World J Diabetes 2023; 14(10): 1541-1550
- URL: https://www.wjgnet.com/1948-9358/full/v14/i10/1541.htm
- DOI: https://dx.doi.org/10.4239/wjd.v14.i10.1541