Skip to main content
Fig. 3 | Hereditas

Fig. 3

From: Construction and validation of a cuproptosis-related diagnostic gene signature for atrial fibrillation based on ensemble learning

Fig. 3

Feature selection with RF and XGBoost algorithms. (A) Relationship between the error rate and the number of classification trees. The error rate is minimum when ntree = 105. (B) Gini-importance of the 12 cuproptosis-related genes. (C) Relative Gain-importance of the 12 cuproptosis-related genes. (D) Venn plot demonstrating two features shared by RF and XGBoost algorithms

Back to article page

Hereditas

ISSN: 1601-5223

Contact us