Table 1.
Example illustrating how accuracy can be misleading in case of imbalanced data sets.
|
Predicted as negative | Predicted as positive | Total |
Actual negative | 80 | 10 | 90 |
Actual positive | 5 | 5 | 10 |
Total | 85 | 15 | 100 |
Example illustrating how accuracy can be misleading in case of imbalanced data sets.
|
Predicted as negative | Predicted as positive | Total |
Actual negative | 80 | 10 | 90 |
Actual positive | 5 | 5 | 10 |
Total | 85 | 15 | 100 |