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 | ACC | 0.71 | 0.79 | 0.81 | 0.82 | 0.82 | 0.91 | 0.91 | 0.92 | 0.94 | 0.95 | 0.95 |
F1-score | 0.68 | 0.57 | 0.57 | 0.62 | 0.57 | 0.91 | 0.93 | 0.93 | 0.94 | 0.94 | 0.95 | |
AUC | 0.70 | 0.80 | 0.80 | 0.81 | 0.83 | 0.88 | 0.89 | 0.89 | 0.91 | 0.92 | 0.93 | |
AUPRC | 0.71 | 0.66 | 0.73 | 0.70 | 0.64 | 0.93 | 0.95 | 0.84 | 0.92 | 0.93 | 0.95 | |
CRC | ACC | 0.50 | 0.64 | 0.65 | 0.58 | 0.68 | 0.76 | 0.86 | 0.84 | 0.88 | 0.87 | 0.91 |
F1-score | 0.52 | 0.53 | 0.58 | 0.54 | 0.62 | 0.75 | 0.87 | 0.84 | 0.84 | 0.86 | 0.87 | |
AUC | 0.53 | 0.67 | 0.67 | 0.57 | 0.73 | 0.76 | 0.87 | 0.85 | 0.87 | 0.87 | 0.90 | |
AUPRC | 0.63 | 0.67 | 0.73 | 0.61 | 0.80 | 0.81 | 0.92 | 0.82 | 0.86 | 0.92 | 0.93 |