Table 7 Summary of results on test set of synthetic datasets
From: Automatic disease prediction from human gut metagenomic data using boosting GraphSAGE
Dataset | Metrics | Classifiers | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
SVM | RF | DF | MLP | XGB | GCN | GraphSAGE | Boosting GCN | Bagging GCN | Bagging GraphSAGE | Boosting GraphSAGE | ||
IBD_synthetic | ACC | 0.97 | 0.96 | 0.99 | 0.98 | 1.00 | 0.95 | 0.99 | 0.91 | 0.96 | 0.98 | 0.99 |
F1-score | 0.81 | 0.91 | 0.98 | 0.96 | 0.99 | 0.92 | 0.98 | 0.91 | 0.93 | 0.99 | 0.99 | |
AUC | 0.92 | 0.99 | 0.99 | 0.99 | 0.99 | 0.95 | 0.98 | 0.90 | 0.95 | 0.98 | 0.99 | |
AUPRC | 0.95 | 0.94 | 0.99 | 0.95 | 0.99 | 0.98 | 0.99 | 0.92 | 0.98 | 0.98 | 0.99 | |
CRC_synthetic | ACC | 0.87 | 0.98 | 0.99 | 0.92 | 0.97 | 0.89 | 0.99 | 0.87 | 0.89 | 0.98 | 0.98 |
F1-score | 0.75 | 0.98 | 0.98 | 0.91 | 0.96 | 0.88 | 0.98 | 0.93 | 0.87 | 0.98 | 0.98 | |
AUC | 0.78 | 0.99 | 0.99 | 0.96 | 0.99 | 0.86 | 0.98 | 0.87 | 0.82 | 0.98 | 0.99 | |
AUPRC | 0.82 | 0.99 | 0.98 | 0.94 | 0.96 | 0.92 | 0.98 | 0.94 | 0.92 | 0.98 | 0.98 | |