Data-driven models for atmospheric air temperature forecasting at a continental climate region

Fig 15. Weekly residual: testing phase. a) GBR-M16, b) RT-M16, c) SVR-M16, and e) are RF-M10. https://doi.org/10.1371/journal.pone.0277079.g015 Fig 16. The probability of the data falling at the confidence level of 95% (μ±2σ). μ is the average, and σ is the standard deviation. https://doi.org/10.1371/journal.pone.0277079.g016 PLOS ONE Air temperature forecasting: Mutli-time scale PLOS ONE | https://doi.org/10.1371/journal.pone.0277079 November 3, 2022 27 / 31