Research Article
Detecting Anomalies in Meteorological Data Using Support Vector Regression
Table 12
Accuracy of estimated values based on the size of the training set (RMSE).
| Meteorological element | 5000 | 10000 | 15000 | 20000 | 25000 | 30000 |
| Wind direction | 43.820 | 42.831 | 42.298 | 41.948 | 41.691 | 41.481 | Wind speed | 2.363 | 2.365 | 2.367 | 2.369 | 2.369 | 2.370 | Temperature | 0.902 | 0.879 | 0.870 | 0.863 | 0.860 | 0.857 | Humidity | 4.710 | 4.330 | 4.130 | 3.998 | 3.904 | 3.831 | Atmospheric pressure | 0.871 | 0.837 | 0.817 | 0.807 | 0.797 | 0.785 | Hourly precipitation | 0.763 | 0.746 | 0.736 | 0.732 | 0.727 | 0.724 | Rainfall occurrence | 0.026 | 0.025 | 0.024 | 0.024 | 0.024 | 0.024 |
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