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