Table 3.
Dataset | Logistic regression | Neural Network | |||
---|---|---|---|---|---|
Accuracy | AUC | Accuracy | AUC | ||
sPGS Model | MGS+SSCCS | 0.820 | 0 | 0.823 | 0 |
CATIE | 0.72 | 0 | 0.723 | 0 | |
tPGS Model | MGS+SSCCS | 0.63 | 0 | 0.638 | 0 |
CATIE | 0.63 | 0 | 0.635 | 0 |
Dataset | Logistic regression | Neural Network | |||
---|---|---|---|---|---|
Accuracy | AUC | Accuracy | AUC | ||
sPGS Model | MGS+SSCCS | 0.820 | 0 | 0.823 | 0 |
CATIE | 0.72 | 0 | 0.723 | 0 | |
tPGS Model | MGS+SSCCS | 0.63 | 0 | 0.638 | 0 |
CATIE | 0.63 | 0 | 0.635 | 0 |