If a classification system has been trained a confusion matrix will summarize the results (ie the error rate (false|true) (positive|negative) for a binary classification).
This is training error, there is may be overfitting.
The main diagonal indicates correct classification whereas everything off the main diagonal indicates a classification.
| Predicted class | ||
|---|---|---|
| Actual Class | Yes | No |
| Yes | True Positive | False Negative |
| No | False Positive | True Negative |
With a simple rule: If most females survived, then assume every female survives
Survived: Yes or No
| Predicted class | ||
|---|---|---|
| Actual Class | Yes | No |
| Yes | 233 | 81 |
| No | 109 | 468 |