Table 4.
Results of gradient boosting tree analysis.
| Accuracy: 95.31% | True 1 | True 0 | Total | Class precision (%) |
|---|---|---|---|---|
| Pred. 1 | 55 (TP) Correct Decision |
2 (FP) Type I error |
57 (P′) | 96.49 |
| Pred. 0 | 4 (FN) Type II error |
67 (TN) Correct Decision |
71 (N′) | 94.36 |
| Total | 59 (P) | 69 (N) | 128 (P + N) | |
| Class recall | 93.22% | 97.10% |
TP: true positives, TN: true negatives, FN: false negatives, and FP: false positives. Precision: it is the ratio of correctly predicted positive samples to the number of samples estimated in the positive class. Recall: it is the ratio of correctly predicted positive samples the ratio to the number of samples in the true positive class.