Table 3.
Performance of different network setups in experiment 2.
| Network | Accuracy | Sensitivity | Specificity | PPVa | NPVb | PLRc | Kappa |
| ANNd | 70.88 (%) | 0.443 | 0.777 | 0.339 | 0.844 | 1.99 | 0.20 |
| CNNe-5 | 65.37 (%) | 0.375 | 0.723 | 0.250 | 0.824 | 1.35 | 0.08 |
| CNN-6 | 74.23 (%) | 0.279 | 0.862 | 0.342 | 0.823 | 2.02 | 0.15 |
| CNN-7 | 73.23 (%) | 0.540 | 0.782 | 0.389 | 0.868 | 2.48 | 0.28 |
aPPV: positive predictive value.
bNPV: negative predictive value.
cPLR: positive likelihood ratio.
dANN: artificial neural network.
eCNN: convolutional neural network.