Table 2 Classification report with confidence interval and statistical metrics.
From: Fault detection in electrical power systems using attention-GRU-based fault classifier (AGFC-Net)
Class | Precision | Recall | F1-Score | Support |
|---|---|---|---|---|
0 | 0.99 | 1.00 | 0.99 | 1306 |
1 | 1.00 | 0.99 | 0.99 | 1095 |
Accuracy | 0.99 | 2401 | ||
Macro Avg | 0.99 | 0.99 | 0.99 | 2401 |
Weighted Avg | 0.99 | 0.99 | 0.99 | 2401 |
Additional Metrics | ||||
Accuracy CI (95%) | (0.9896, 0.9963) | |||
Prediction Variance | 0.2477 | |||
Ground Truth Variance | 0.2481 | |||
Chi-squared Test p-value | \(0.0000 \times 10^{0}\) | |||
