# Optimization of Data-Driven Soil Temperature Forecast--The First Model in Bangladesh
## 5 Results and Discussion
### Forecasting Soil Temperature at 10 cm Depth in Bangladesh
#### 5.1.1 One-Day Lead-Time Forecast
\begin{table}
\begin{tabular}{c c c c c c c c c c c c} \hline \hline
**Model** & **Time Window Size** & \multicolumn{2}{c}{**One**} & \multicolumn{2}{c}{**Two**} & \multicolumn{2}{c}{**Three**} & \multicolumn{2}{c}{**Four**} & \multicolumn{2}{c}{**Five**} \\ \hline  & **Scenarios** & **RMSE** & **R** & **RMSE** & **R** & **RMSE** & **R** & **RMSE** & **R** & **RMSE** & **R** & **RMSE** & **R** \\ \hline  & MEAN & 2.220 & 0.922 & 2.161 & 0.928 & 2.145 & 0.930 & 2.143 & 0.930 & 2.140 & 0.930 \\ \cline{2-11}  & MEAN-SUN & 2.192 & 0.925 & 2.161 & 0.929 & 2.147 & 0.930 & 2.142 & 0.930 & 2.136 & 0.930 \\ \cline{2-11}  & MEAN-MAX-MIN & 2.126 & 0.932 & 2.105 & 0.934 & 2.096 & 0.935 & 2.088 & 0.936 & 2.086 & 0.936 \\ \cline{2-11}  & MEAN-HMM-RAN & 2.201 & 0.925 & 2.161 & 0.928 & 2.152 & 0.929 & 2.149 & 0.929 & 2.145 & 0.929 \\ \cline{2-11}  & MEAN-MAX-MIN-SUN & 2.126 & 0.932 & 2.104 & 0.934 & 2.096 & 0.935 & 2.000 & 0.935 & 2.087 & 0.935 \\ \cline{2-11}  & MEAN-MAX-MIN-SUN-RAIN & 2.128 & 0.932 & 2.108 & 0.934 & 2.099 & 0.935 & 2.094 & 0.935 & 2.090 & 0.934 \\ \cline{2-11}  & MEAN-MAX-MIN-SUN-FIUM & 2.132 & 0.931 & 2.112 & 0.933 & 2.103 & 0.934 & 2.093 & 0.935 & 2.087 & 0.935 \\ \cline{2-11}  & MEAN-MAX-MIN-SUN-HUM-RAIN & 2.133 & 0.931 & 2.112 & 0.933 & 2.104 & 0.934 & 2.096 & 0.935 & 2.090 & 0.934 \\ \hline  & MEAN & 2.212 & 0.923 & 2.128 & 0.932 & 2.097 & 0.934 & 2.085 & 0.936 & 2.073 & 0.937 \\ \cline{2-11}  & MEAN-SUM & 2.157 & 0.928 & 2.094 & 0.934 & 2.068 & 0.937 & 2.058 & 0.938 & 2.049 & 0.939 \\ \cline{2-11}  & MEAN-MAX-MIN & 2.088 & 0.935 & 2.043 & 0.939 & 2.019 & 0.942 & 2.009 & 0.942 & 2.001 & 0.943 \\ \cline{2-11}  & MEAN-HMM-RAN & 2.158 & 0.928 & 2.086 & 0.935 & 2.060 & 0.937 & 2.051 & 0.938 & 2.042 & 0.939 \\ \cline{2-11}  & MEAN-MAX-MIN-SUN & 2.080 & 0.936 & 2.036 & 0.940 & 2.014 & 0.942 & 2.004 & 0.942 & 1.997 & 0.943 \\ \cline{2-11}  & MEAN-MAX-MIN-SUN-RAIN & 2.076 & 0.936 & 2.034 & 0.940 & 2.013 & 0.942 & 2.003 & 0.943 & 1.998 & 0.943 \\ \cline{2-11}  & MEAN-MAX-MIN-SUN-HUM & 2.075 & 0.936 & 2.033 & 0.940 & 2.010 & 0.942 & 2.001 & 0.943 & 1.994 & 0.943 \\ \cline{2-11}  & MEAN-MAX-MIN-SUN-HUM-RAIN & 2.072 & 0.936 & 2.031 & 0.940 & 2.011 & 0.942 & 2.002 & 0.942 & 1.994 & 0.944 \\ \cline{2-11}  & MEAN & 2.215 & 0.923 & 2.134 & 0.931 & 2.098 & 0.934 & 2.084 & 0.936 & 2.072 & 0.937 \\ \cline{2-11}  & MEAN-SUM & 2.159 & 0.928 & 2.098 & 0.935 & 2.053 & 0.938 & 2.044 & 0.939 & 2.034 & 0.940 \\ \cline{2-11}  & MEAN-MAX-MIN & 2.091 & 0.935 & 2.037 & 0.940 & 2.005 & 0.942 & 2.006 & 0.943 & 1.997 & 0.944 \\ \cline{2-11}  & MEAN-HMM-RAN & 2.157 & 0.928 & 2.075 & 0.938 & 2.039 & 0.939 & 2.032 & 0.940 & 2.022 & 0.941 \\ \cline{2-11}  & MEAN-MAX-MIN-SUN & 2.078 & 0.936 & 2.027 & 0.940 & 1.996 & 0.943 & 1.994 & 0.944 & 1.987 & 0.944 \\ \cline{2-11}  & MEAN-MAX-MIN-SUN-RAIN & 2.070 & 0.937 & 2.021 & 0.941 & 1.988 & 0.943 & 1.990 & 0.944 & 1.980 & 0.945 \\ \cline{2-11}  & MEAN-MAX-MIN-SUN-HUM & 2.075 & 0.936 & 2.026 & 0.941 & 1.996 & 0.943 & 1.991 & 0.944 & 1.983 & 0.944 \\ \cline{2-11}  & MEAN-MAX-MIN-SUN-HUM-RAIN & 2.067 & 0.937 & 2.017 & 0.941 & 1.986 & 0.943 & 1.985 & 0.944 & 1.976 & 0.945 \\ \hline \hline \end{tabular}
\end{table} 
Table 2: Average accuracy of ST10 forecast by tree-based models for the testing dataset.