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Confusion matrix for testing data detailing classifier case counts for the 2 predicted labels and 2 true labels (0 = inaccurate, 1 = accurate), for the final optimized RF model.
| Predicted labels |
|||
|---|---|---|---|
| 0 | 1 | ||
| True labels | 0 | True negative: 452 | False positive: 71 |
| 1 | False negative: 101 | True positive: 282 | |
