Benchmarking machine learning for bowel sound pattern classification – From tabular features to pretrained models
Fig 5
The AUC values of the binary classification between non-BS and BS signal are listed as follows: using tree-based models on tabular features(green; bars from 1 to 4), Spectrogram-based models (blue; bars from 5 to 16), and transfer learning based features (orange; bars from 17 to 19).
The figure demonstrates that pretrained models offer more reliable performance compared to other techniques, while feature-based models struggle with the bowel sound detection task.