Research Paper Volume 16, Issue 7 pp 6314—6333
Machine learning identifies novel coagulation genes as diagnostic and immunological biomarkers in ischemic stroke
Figure 6. Construction and evaluation of different machine learning models. (A) Venn diagram showing the intersection between DECGs and WGCNA modular genes. (B) Reverse cumulative distribution of residuals in four machine learning models. (C) Boxplots of residuals in four machine learning methods. (D) The feature importance of CGs in each machine learning model. (E) ROC curves of four machine learning models for IS diagnosis.