# Optimization of Data-Driven Soil Temperature Forecast--The First Model in Bangladesh
## 5 Results and Discussion
### Forecasting Soil Temperature at 50 cm Depth in Bangladesh
#### 5.3.1 One-Day Lead-Time Forecast
\begin{table}
\begin{tabular}{c c c c c c c c c c c c} \hline \hline \multicolumn{1}{c}{**Model**} & \multicolumn{1}{c}{**Time Window Size**} & \multicolumn{1}{c}{**One**} & \multicolumn{1}{c}{**Two**} & \multicolumn{1}{c}{**Three**} & \multicolumn{1}{c}{**Four**} & \multicolumn{1}{c}{**Five**} \\ \hline  & **Scenarios** & **RMSE** & **R** & **RMSE** & **R** & **RMSE** & **R** & **RMSE** & **R** & **RMSE** & **R** & **RMSE** & **R** \\ \hline  & MEAN & 2.283 & 0.895 & 2.196 & 0.907 & 2.137 & 0.914 & 2.106 & 0.917 & 2.083 & 0.920 \\ \cline{2-11}  & MEAN-SUN & 2.260 & 0.899 & 2.200 & 0.905 & 2.148 & 0.912 & 2.131 & 0.915 & 2.105 & 0.918 \\ \cline{2-11}  & MEAN-MAX-MIN & 2.139 & 0.910 & 2.071 & 0.917 & 2.037 & 0.922 & 2.015 & 0.924 & 2.001 & 0.926 \\ \cline{2-11}  & MEAN-HMM-RAN & 2.209 & 0.903 & 2.152 & 0.912 & 2.108 & 0.917 & 2.089 & 0.918 & 2.077 & 0.920 \\ \cline{2-11}  & MEAN-MAX-MIN-SUN & 2.147 & 0.911 & 2.093 & 0.917 & 2.058 & 0.921 & 2.042 & 0.923 & 2.016 & 0.926 \\ \cline{2-11}  & MEAN-MAX-MIN-SUN-RAIN & 2.141 & 0.911 & 2.091 & 0.917 & 2.056 & 0.921 & 2.040 & 0.923 & 2.018 & 0.926 \\ \cline{2-11}  & MEAN-MAX-MIN-SUN-HUM & 2.139 & 0.912 & 2.093 & 0.917 & 2.055 & 0.921 & 2.036 & 0.924 & 2.019 & 0.926 \\ \cline{2-11}  & MEAN-MAX-MIN-SUN-HUM-RAIN & 2.142 & 0.911 & 2.094 & 0.917 & 2.056 & 0.921 & 2.038 & 0.923 & 2.019 & 0.926 \\ \hline  & MEAN & 2.277 & 0.896 & 2.168 & 0.911 & 2.091 & 0.920 & 2.043 & 0.926 & 2.008 & 0.929 \\ \cline{2-11}  & MEAN-SUM & 2.230 & 0.904 & 2.141 & 0.915 & 2.076 & 0.923 & 2.035 & 0.928 & 2.005 & 0.931 \\ \cline{2-11}  & MEAN-MAX-MIN & 2.201 & 0.917 & 2.014 & 0.927 & 1.957 & 0.933 & 1.919 & 0.937 & 1.893 & 0.940 \\ \cline{2-11}  & MEAN-HMM-RAIN & 2.174 & 0.910 & 2.076 & 0.922 & 2.009 & 0.929 & 1.969 & 0.933 & 1.941 & 0.936 \\ \cline{2-11}  & MEAN-MAX-MIN-SUN-RAIN & 2.102 & 0.917 & 2.020 & 0.927 & 1.967 & 0.933 & 1.932 & 0.937 & 1.956 & 0.940 \\ \cline{2-11}  & MEAN-MAX-MIN-SUN-RAIN & 2.094 & 0.918 & 2.017 & 0.928 & 1.964 & 0.933 & 1.931 & 0.937 & 1.904 & 0.940 \\ \cline{2-11}  & MEAN-MAX-MIN-SUN-HUM & 2.085 & 0.920 & 2.007 & 0.929 & 1.956 & 0.935 & 1.922 & 0.938 & 1.896 & 0.941 \\ \cline{2-11}  & MEAN-MAX-MIN-SUN-HUM-RAIN & 2.079 & 0.920 & 2.004 & 0.929 & 1.956 & 0.935 & 1.921 & 0.938 & 1.896 & 0.941 \\ \hline  & MEAN & 2.277 & 0.896 & 2.167 & 0.910 & 2.091 & 0.920 & 2.044 & 0.925 & 2.006 & 0.930 \\ \cline{2-11}  & MEAN-SUM & 2.229 & 0.904 & 2.137 & 0.915 & 2.079 & 0.923 & 2.009 & 0.928 & 2.007 & 0.931 \\ \cline{2-11}  & MEAN-MAX-MIN & 2.109 & 0.916 & 2.023 & 0.925 & 1.962 & 0.932 & 1.926 & 0.936 & 1.897 & 0.939 \\ \cline{2-11}  & MEAN-HMM-RAIN & 2.178 & 0.909 & 2.061 & 0.923 & 2.001 & 0.933 & 1.958 & 0.934 & 1.922 & 0.938 \\ \cline{2-11}  & MEAN-MAX-MIN-SUN & 2.105 & 0.916 & 2.024 & 0.926 & 1.969 & 0.932 & 1.937 & 0.936 & 1.908 & 0.939 \\ \cline{2-11}  & MEAN-MAX-MIN-SUN-RAIN & 2.095 & 0.918 & 2.016 & 0.927 & 1.962 & 0.933 & 1.931 & 0.937 & 1.904 & 0.940 \\ \cline{2-11}  & MEAN-MAX-MIN-SUN-HUM & 2.102 & 0.918 & 2.032 & 0.927 & 1.977 & 0.933 & 1.943 & 0.937 & 1.913 & 0.940 \\ \cline{2-11}  & MEAN-MAX-MIN-SUN-HUM-RAIN & 2.091 & 0.919 & 2.017 & 0.928 & 1.966 & 0.934 & 1.934 & 0.938 & 1.907 & 0.941 \\ \hline \hline \end{tabular}
\end{table} 
Table 5: Average accuracy of ST50 forecast by tree-based models.