Table 3.
Classifiers performance for current glycated hemoglobin level prediction.
| Model | AUC-ROCa, % (SD) | Balanced accuracy, % (SD) | Accuracy, % (SD) | F score, % (SD) | Precision, % (SD) | PR-AUCb, % (SD) | |||||||
| MLRc | |||||||||||||
|
|
Nod | 81.38 (3.82) | 72.74 (4.15) | 73.59 (3.79) | 74.91 (5.12) | 73.20 (5.05) | 82.14 (6.04) | ||||||
|
|
Yese | 82.45 (4.09) | 73.49 (4.19) | 74.30 (4.02) | 75.11 (6.00) | 74.36 (5.26) | 83.45 (6.29) | ||||||
| RFf | |||||||||||||
|
|
No | 80.82 (1.14) | 72.57 (1.17) | 72.64 (1.14) | 73.97 (1.04) | 73.42 (1.84) | 82.03 (1.35) | ||||||
|
|
Yes | 82.38 (1.04) | 73.86 (0.98) | 73.91 (0.95) | 75.07 (0.86) | 74.81 (1.68) | 84.06 (1.17) | ||||||
| SVMg | |||||||||||||
|
|
No | 81.05 (1.04) | 73.69 (1.35) | 73.88 (1.33) | 75.76 (1.18) | 73.42 (1.90) | 80.56 (1.48) | ||||||
|
|
Yes | 82.04 (0.89) | 74.25 (1.11) | 74.40 (1.08) | 76.08 (0.92) | 74.20 (1.65) | 83.16 (1.19) | ||||||
| LRh | |||||||||||||
|
|
No | 81.51 (1.26) | 73.18 (1.10) | 73.17 (1.08) | 73.96 (1.03) | 74.88 (1.69) | 82.49 (1.46) | ||||||
|
|
Yes | 82.59 (1.04) | 74.11 (1.15) | 74.05 (1.13) | 74.55 (0.98) | 76.31 (1.72) | 84.13 (1.04) | ||||||
| MLPi | |||||||||||||
|
|
No | 82.07 (1.06) | 73.61 (1.04) | 73.83 (1.03) | 75.87 (1.10) | 73.07 (1.62) | 83.42 (1.19) | ||||||
|
|
Yes | 83.22 (0.92) | 74.45 (1.18) | 74.55 (1.18) | 75.99 (1.95) | 74.78 (2.07) | 84.85 (0.78) | ||||||
aAUC-ROC: area under the receiver operating characteristic.
bPR-AUC: precision-recall area under the curve.
cMLR: multiple logistic regression.
dWithout longitudinal data.
eWith longitudinal data.
fRF: random forest.
gSVM: support vector machine.
hLR: logistic regression.
iMLP: multilayer perceptron.