## 3 Results and Discussion
Analogous information on the volatile solids content and the MLP 33-10-1 VS10 model is included in Figure 4. The correlation coefficient for these two models was 0.9865 and 0.9876, respectively. Their uncertainties measured by the MAP \begin{table}
\begin{tabular}{c c c c c c c} \hline \hline \multirow{2}{*}{**No.**} & \multirow{2}{*}{**Model**} & \multirow{2}{*}{**Dataset**} & \multicolumn{2}{c}{**Number of**} & \multicolumn{2}{c}{**MSE**} \\ \cline{3-6}  & & & **Training** & **Pochs** & **Dataset** & **Validation** & **Test** \\ \hline
1 & MLP 9-10-1 TS1 & TS1 & 122 & 19.522 & 23.837 & 23.393 \\
2 & MLP 3-10-1 TS2 & TS2 & 117 & 49.274 & 49.721 & 52.211 \\
3 & MLP 4-10-1 TS3 & TS3 & 103 & 48.291 & 53.389 & 51.965 \\
4 & MLP 9-10-1 TS4 & TS4 & 59 & 20.163 & 23.929 & 24.284 \\
5 & MLP 25-10-1 TS5 & TS5 & 49 & 12.619 & 17.924 & 20.346 \\
6 & MLP 5-10-1 TS6 & TS6 & 75 & 38.194 & 45.003 & 42.737 \\
7 & MLP 30-10-1 TS7 & TS7 & 40 & 11.390 & 17.185 & 19.359 \\
8 & MLP 31-10-1 TS8 & TS8 & 214 & 2.995 & 8.102 & 10.012 \\
9 & MLP 32-10-1 TS9 & TS9 & 49 & 2.018 & 3.511 & 4.759 \\  & & MLP 33-10-1 & & & & \\
10 & & TS10 & 36 & 1.049 & 2.454 & 2.470 \\ \hline \hline \end{tabular}
\end{table} 
Table 4: Neural models for the prediction of the total solids content in composted material. \begin{table}
\begin{tabular}{c c c c} \hline \hline \multicolumn{1}{c}{**Regression Statistics and**} & \multicolumn{1}{c}{**Training Dataset**} & \multicolumn{1}{c}{**Validation Dataset**} & \multicolumn{1}{c}{**Test Dataset**} \\ \multicolumn{1}{c}{**Error Values**} & \multicolumn{1}{c}{**Training Dataset**} & \multicolumn{1}{c}{**Validation Dataset**} & \multicolumn{1}{c}{**Test Dataset**} \\ \hline Data Mean & 36.2213 & 37.0124 & 35.7915 \\ Data SD & 9.7505 & 9.8745 & 9.6006 \\ Error Mean & \(-\)0.0176 & \(-\)0.0658 & \(-\)0.0094 \\ Error SD & 1.0248 & 1.5671 & 1.5737 \\ SD Ratio & 0.1051 & 0.1587 & 0.1639 \\ Correlation & 0.9945 & 0.9873 & 0.9865 \\ Coefficient of determination & 0.9889 & 0.9748 & 0.9731 \\ RAE & 0.0273 & 0.0409 & 0.0424 \\ RMSE & 1.0243 & 1.5664 & 1.5717 \\ MAE & 0.6683 & 0.9672 & 1.0054 \\ MAPE & 1.8847 & 2.7185 & 2.8802 \\ \hline \hline \end{tabular}
\end{table} 
Table 6: Regression statistics and error values for the 33-10-1 TS10 model. \begin{table}
\begin{tabular}{c c c c c} \hline \hline \multicolumn{1}{c}{**Regression Statistics and**} & \multicolumn{1}{c}{**Training Dataset**} & \multicolumn{1}{c}{**Validation Dataset**} & \multicolumn{1}{c}{**Test Dataset**} \\ \multicolumn{1}{c}{**Error Values**} & \multicolumn{1}{c}{**Training Dataset**} & \multicolumn{1}{c}{**Validation Dataset**} & \multicolumn{1}{c}{**Test Dataset**} \\ \hline Data Mean & 76.0722 & 76.5073 & 76.3556 \\ Data SD & 4.5709 & 4.5610 & 4.4766 \\ Error Mean & 0.0014 & 0.0419 & 0.0324 \\ Error SD & 0.3759 & 0.6130 & 0.7030 \\ SD Ratio & 0.0822 & 0.1344 & 0.1570 \\ Correlation & 0.9966 & 0.9910 & 0.9876 \\ Coefficient of determination & 0.9932 & 0.9819 & 0.9753 \\ RAE & 0.0049 & 0.0080 & 0.0092 \\ RMSE & 0.3757 & 0.6136 & 0.7028 \\ MAE & 0.2518 & 0.3776 & 0.4444 \\ MAPE & 0.3350 & 0.4962 & 0.5896 \\ \hline \hline \end{tabular}
\end{table} 
Table 7: Regression statistics and error values for the 33-10-1 VS10 model. \begin{table}
\begin{tabular}{c c c c c c c} \hline \hline \multirow{2}{*}{**No. **} & \multirow{2}{*}{**Model**} & \multirow{2}{*}{**Dataset**} & \multicolumn{1}{c}{**Number of Training**} & \multicolumn{1}{c}{**Training Dataset**} & \multicolumn{1}{c}{**Validation Dataset**} & \multicolumn{1}{c}{**Test Dataset**} \\ \cline{5-6}  & & & **Epochs** & **Dataset** & **Dataset** & **Dataset** \\ \hline
1 & MLP 9-10-1 VS1 & VS1 & 100 & 8.456 & 9.170 & 10.902 \\
2 & MLP 3-10-1 VS2 & VS2 & 51 & 14.439 & 13.324 & 13.927 \\
3 & MLP 4-10-1 VS3 & VS3 & 143 & 14.442 & 13.766 & 14.418 \\
4 & MLP 9-10-1 VS4 & V54 & 40 & 7.342 & 9  
by [PERSON] et al. [46] to predict the compost maturity efficiency. In their study, olive mill wastes mixed with natural mineral materials (montmorillonite, kaolinite, sepiolite, and expanded vermiculite) were composted.