Research Article
A Wavelet-Based Learning Model Enhances Molecular Prognosis in Pancreatic Adenocarcinoma
Table 3
Performance comparison among the eight typical wavelet-based and classic LASSO and SWT-CNN methods.
| Method | Basis | AUC at 3 years | AUC at 5 years | Predictors |
| haar | haar | 0.618 | 0.756 | 5 | dmeyer | dmeyer | 0.823 | 0.869 | 7 | symlets | sym3 | 0.806 | 0.904 | 5 | coiflets | coif4 | 0.696 | 0.788 | 5 | daubechies | db7 | 0.804 | 0.867 | 5 | biorSplines | bior1.5 | 0.787 | 0.937 | 5 | reverseBior | rbior2.8 | 0.852 | 0.897 | 10 | Fejer-Korovkin | fk14 | 0.672 | 0.861 | 5 | SWT-CNN | sym4 | 0.721 | 0.859 | 8 | LASSO | | 0.782 | 0.802 | 11 |
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