# Optimization of Data-Driven Soil Temperature Forecast--The First Model in Bangladesh
## 5 Results and Discussion
### Forecasting Soil Temperature at 30 cm Depth in Bangladesh
#### 5.2.2 Three-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 & 1.623 & 0.926 & 1.516 & 0.936 & 1.460 & 0.941 & 1.440 & 0.943 & 1.420 & 0.945 \\ \cline{2-11}  & MEAN-SUN & 1.595 & 0.929 & 1.504 & 0.938 & 1.458 & 0.941 & 1.458 & 0.943 & 1.415 & 0.945 \\ \cline{2-11}  & MEAN-MAX-MIN & 1.480 & 0.938 & 1.413 & 0.944 & 1.378 & 0.947 & 1.361 & 0.949 & 1.349 & 0.950 \\ \cline{2-11}  & MEAN-HMM-RAN & 1.565 & 0.931 & 1.475 & 0.939 & 1.442 & 0.942 & 1.428 & 0.944 & 1.410 & 0.945 \\ \cline{2-11}  & MEAN-MAX-MIN-SUN & 1.477 & 0.939 & 1.414 & 0.944 & 1.378 & 0.947 & 1.363 & 0.948 & 1.350 & 0.949 \\ \cline{2-11}  & MEAN-MAX-MIN-SUN-RAIN & 1.471 & 0.939 & 1.413 & 0.944 & 1.38 & 0.947 & 1.364 & 0.948 & 1.350 & 0.949 \\ \cline{2-11}  & MEAN-MAX-MIN-SUN-HUM & 1.480 & 0.938 & 1.414 & 0.944 & 1.381 & 0.947 & 1.365 & 0.948 & 1.351 & 0.949 \\ \cline{2-11}  & MEAN-MAX-MIN-SUN-HUM-RAIN & 1.475 & 0.938 & 1.412 & 0.944 & 1.381 & 0.947 & 1.366 & 0.948 & 1.354 & 0.949 \\ \hline  & MEAN & 1.620 & 0.926 & 1.476 & 0.94 & 1.400 & 0.946 & 1.360 & 0.950 & 1.329 & 0.953 \\ \cline{2-11}  & MEAN-SUM & 1.566 & 0.932 & 1.439 & 0.943 & 1.373 & 0.949 & 1.338 & 0.952 & 1.310 & 0.955 \\ \cline{2-11}  & MEAN-MAX-MIN & 1.442 & 0.942 & 1.341 & 0.955 & 1.285 & 0.955 & 1.254 & 0.957 & 1.224 & 0.957 \\ \cline{2-11}  & MEAN-HMM-RAIN & 1.516 & 0.935 & 1.385 & 0.947 & 1.325 & 0.952 & 1.293 & 0.955 & 1.271 & 0.957 \\ \cline{2-11}  & MEAN-MAX-MIN-SUN & 1.437 & 0.942 & 1.337 & 0.950 & 1.282 & 0.955 & 1.252 & 0.957 & 1.233 & 0.957 \\ \cline{2-11}  & MEAN-MAX-MIN-SUN-RAIN & 1.427 & 0.943 & 1.331 & 0.951 & 1.279 & 0.955 & 1.250 & 0.957 & 1.231 & 0.957 \\ \cline{2-11}  & MEAN-MAX-MIN-SUN-HUM & 1.422 & 0.943 & 1.325 & 0.951 & 1.273 & 0.955 & 1.244 & 0.958 & 1.226 & 0.958 \\ \cline{2-11}  & MEAN-MAX-MIN-SUN-HUM-RAIN & 1.415 & 0.944 & 1.321 & 0.952 & 1.271 & 0.956 & 1.243 & 0.958 & 1.225 & 0.959 \\ \hline  & MEAN & 1.622 & 0.926 & 1.479 & 0.940 & 1.405 & 0.946 & 1.362 & 0.950 & 1.330 & 0.953 \\ \cline{2-11}  & MEAN-SUM & 1.566 & 0.932 & 1.441 & 0.944 & 1.374 & 0.949 & 1.335 & 0.952 & 1.303 & 0.955 \\ \cline{2-11}  & MEAN-MAX-MIN & 1.444 & 0.941 & 1.346 & 0.95 & 1.285 & 0.955 & 1.252 & 0.958 & 1.229 & 0.960 \\ \cline{2-11}  & MEAN-HMM-RAIN & 1.513 & 0.935 & 1.375 & 0.948 & 1.311 & 0.953 & 1.274 & 0.957 & 1.249 & 0.958 \\ \cline{2-11}  & MEAN-MAX-MIN-SUN & 1.431 & 0.942 & 1.331 & 0.951 & 1.274 & 0.955 & 1.244 & 0.958 & 1.219 & 0.960 \\ \cline{2-11}  & MEAN-MAX-MIN-SUN-RAIN & 1.419 & 0.943 & 1.319 & 0.952 & 1.264 & 0.956 & 1.233 & 0.959 & 1.210 & 0.960 \\ \cline{2-11}  & MEAN-MAX-MIN-SUN-HUM & 1.414 & 0.943 & 1.315 & 0.952 & 1.256 & 0.956 & 1.223 & 0.959 & 1.198 & 0.961 \\ \cline{2-11}  & MEAN-MAX-MIN-SUN-HUM-RAIN & 1.404 & 0.944 & 1.305 & 0.952 & 1.246 & 0.957 & 1.215 & 0.959 & 1.193 & 0.961 \\ \hline \hline \end{tabular}
\end{table} 
Table 4: Average accuracy of ST30 forecast by tree-based models.