Table 6.
Model | Validation year | Training | Test | ||||||
---|---|---|---|---|---|---|---|---|---|
Accuracy | Sensitivity | Specificity | AUC * | Accuracy | Sensitivity | Specificity | AUC * | ||
AutoML | 2017 | 0.86 | 0.85 | 1.00 | 0.92 | 0.79 | 1.00 | 0.00 | 0.50 |
2018 | 0.92 | 0.90 | 1.00 | 0.95 | 0.70 | 0.70 | 0.50 | 0.60 | |
2019 | 0.91 | 0.92 | 0.88 | 0.90 | 0.83 | 0.94 | 0.46 | 0.70 | |
TPOT | 2017 | 0.77 | 1.00 | 0 | 0.50 | 0.79 | 1.00 | 0 | 0.50 |
2018 | 0.85 | 0.84 | 1.00 | 0.92 | 0.73 | 0.72 | 1.00 | 0.86 | |
2019 | 0.74 | 0.74 | 1.00 | 0.87 | 0.84 | 1.00 | 0.00 | 0.50 |
AUC, Area Under Receiver Operative Curve.