Skip to main content
. 2025 Jan 17;9:18. doi: 10.1038/s41698-024-00772-x

Table 6.

Performance of Type 1 and Type 2 depthwise separable convolution models for prediction of BCR

Model Layer type Depth No. params Batch size Class label ROC AUC
Model 3 DSC1 5 3.5 × 106 8 BCR 0.521 ± 0.063
Model 4 DSC1 5 3.2 × 104 8 BCR 0.557 ± 0.068
Model 5 DSC2 6 1.3 × 106 8 BCR 0.588 ± 0.131
Model 6 POOL-DSC1 5 1.0 × 105 16 BCR 0.546 ± 0.065

Here, depth is number of layers with learnable parameters, excluding the output single node layer.