Table 2 The first dataset’s (Stratified K Fold split) experimental results include a classification report from (a) standard threshold \(\lambda = 0.5\), and (b) with threshold moving optimization \(\lambda =0.44\).
From: Enhancing cardiotocography classification via ensemble learning and threshold optimization
Precision | Recall | F1-score | Support | Precision | Recall | F1-score | Support | ||
|---|---|---|---|---|---|---|---|---|---|
No threshold | Threshold moving | ||||||||
Normal | 1.00 | 1.00 | 1.00 | 117 | Normal | 1.00 | 1.00 | 1.00 | 117 |
Suspicious | 0.81 | 0.55 | 0.66 | 38 | Suspicious | 0.79 | 0.29 | 0.42 | 38 |
Pathological | 0.32 | 0.62 | 0.42 | 13 | Pathological | 0.27 | 0.77 | 0.40 | 13 |
Accuracy | – | – | 0.87 | 168 | Accuracy | – | – | 0.82 | 168 |
Mmacro avg | 0.71 | 0.72 | 0.69 | 168 | Macro avg | 0.69 | 0.69 | 0.61 | 168 |
Weighted avg | 0.90 | 0.87 | 0.88 | 168 | Weighted avg | 0.90 | 0.82 | 0.82 | 168 |
