Table 1 The results of the gel segment detection classifiers (top) and the gel panel detection algorithm (bottom)
From: Mining images in biomedical publications: Detection and analysis of gel diagrams
| Method | Threshold | Precision | Recall | F-score | ROC area | |
|---|---|---|---|---|---|---|
| 0.15 | 0.439 | 0.909 | 0.592 | |||
| Random forests | 0.30 | 0.765 | 0.739 | 0.752 |
 0.980
| |
| 0.60 | 0.926 | 0.301 | 0.455 | |||
| Segments | Naive Bayes | 0.172 | 0.739 | 0.279 | 0.883 | |
| Bayesian network | 0.394 | 0.531 | 0.452 | 0.914 | ||
| PART decision list | 0.631 | 0.496 | 0.555 | 0.777 | ||
| Convolutional networks | 0.142 | 0.949 | 0.248 | |||
| Panels | Hand-coded rules | 0.951 | 0.368 | 0.530 |
