Research Article
Time Series Outlier Detection Based on Sliding Window Prediction
Table 2
Statistical analysis of one-sided methods with different parameters of HYK station.
| | Parameters | Water level | Daily flow | | (5, 0.95) | (6, 0.95) | (6, 0.96) | (7, 0.95) | (5, 0.95) | (5, 0.96) | (6, 0.96) | (5, 0.97) |
| | TP | 12 | 14 | 12 | 11 | 15 | 16 | 14 | 13 | | TN | 713 | 713 | 711 | 712 | 707 | 710 | 708 | 709 | | FP | 2 | 2 | 4 | 3 | 5 | 2 | 4 | 3 | | FN | 3 | 1 | 3 | 4 | 3 | 2 | 4 | 5 | | Sensitivity | 80.00% | 93.33% | 80.00% | 73.33% | 83.33% | 88.89% | 77.78% | 72.22% | | Specificity | 99.72% | 99.72% | 99.44% | 99.58% | 99.30% | 99.72% | 99.44% | 99.58% | | PPV | 85.71% | 87.50% | 75.00% | 78.57% | 75.00% | 88.89% | 77.78% | 81.25% | | NPV | 99.58% | 99.86% | 99.58% | 99.44% | 99.58% | 99.72% | 99.44% | 99.30% |
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