Table 3 Confusion matrix shown alongside sensitivity, specificity, and accuracy for each algorithm described here
From: Machine learning in medicine: a practical introduction
| Â | Â | Â | Actual outcome | Â | Â | Â | |
|---|---|---|---|---|---|---|---|
| Â | Â | Â | Benign (0) | Malignant (1) | Sensitivity | Specificity | Accuracy |
Predicted Outcomes | GLM | Benign (0) | 148 | 10 | .99 | .87 | .95 |
| Â | Â | Malignant (1) | 2 | 67 | Â | Â | Â |
| Â | SVM | Benign (0) | 146 | 5 | .97 | .94 | .96 |
| Â | Â | Malignant (1) | 4 | 72 | Â | Â | Â |
| Â | ANN | Benign (0) | 148 | 11 | .99 | .86 | .94 |
| Â | Â | Malignant (1) | 2 | 66 | Â | Â | Â |