Fig. 6
From: Multi-omics analysis reveals the key factors involved in the severity of the Alzheimer’s disease
Application of Machine Learning Techniques in Multi-Omics Integration. A Accuracy of SVM, RF, and XGBoost algorithms in classifying AD patients. B ROC curve for the classification of AD patients without imputation, applied on the training (day 0) and testing (day 84) datasets. C ROC curve for classification of AD patients with imputation, with the training (80%) and testing (20%) datasets. D The performance of the XGBoost regression model applied to the testing dataset (day 84). E The performance of the XGBoost regression model on the imputed testing dataset (20%). F Feature importance as identified on the imputed testing (20%) dataset using the XGBoost algorithm