Table 2 Classification model performance for U87 in different tumor regions.
From: Image-based Classification of Tumor Type and Growth Rate using Machine Learning: a preclinical study
| Â | All | 95% CI | Model Performance Evaluation: U87 | 95% CI | ||||
|---|---|---|---|---|---|---|---|---|
Center | 95% CI | Middle | 95% CI | Edge | ||||
AUC | 0.879 | — | 0.842 | — | 0.813 | — | 0.708 | — |
Accuracy | 0.892 | 0.890, 0.894 | 0.841 | 0.839, 0.844 | 0.779 | 0.775, 0.782 | 0.71 | 0.71, 0.72 |
Specificity | 0.909 | 0.907, 0.911 | 0.910 | 0.908, 0.912 | 0.768 | 0.765, 0.772 | 0.85 | 0.84, 0.86 |
Sensitivity | 0.85 | 0.84, 0.86 | 0.66 | 0.65, 0.67 | 0.80 | 0.78, 0.80, | 0.34 | 0.33, 0.36 |
F-Score | 0.81 | 0.80, 0.82 | 0.69 | 0.68, 0.70 | 0.73 | 0.72, 0.74 | 0.40 | 0.38, 0.41 |
