## 4 Results
### Results
\begin{table}
\begin{tabular}{c c c c c c} \hline \hline  & \multicolumn{2}{c}{**Antecedent Part**} & \multicolumn{3}{c}{**Consequent Part**} \\ \hline
**Rule No.** & **Interior Space** & \
\begin{tabular}{c} **Solar** \\ **Illumination** \\ \end{tabular} &
\begin{tabular}{c} **Interior** \\ **Inhabitance** \\ \end{tabular} & \multicolumn{2}{c}{**Energy Consumption**} \\ \hline  & & & & **H (\%)** & **M (\%)** & **L (\%)** \\ \hline
1 & High & High & High & 65 & 31 & 4 \\
2 & High & High & Medium & 35 & 59 & 6 \\
3 & High & High & Low & 9 & 80 & 11 \\
4 & High & Medium & High & 53 & 26 & 21 \\
5 & High & Medium & Medium & 71 & 26 & 3 \\
6 & High & Medium & Low & 33 & 61 & 6 \\
7 & High & Low & High & 69 & 16 & 15 \\
8 & High & Low & Medium & 73 & 19 & 8 \\
9 & High & Low & Low & 62 & 34 & 4 \\
10 & Medium & High & High & 19 & 74 & 7 \\
11 & Medium & High & Medium & 20 & 24 & 56 \\
12 & Medium & High & Low & 3 & 74 & 23 \\
13 & Medium & Medium & High & 11 & 84 & 5 \\
14 & Medium & Medium & Medium & 9 & 86 & 5 \\
15 & Medium & Medium & Low & 6 & 82 & 12 \\
16 & Medium & Low & High & 61 & 31 & 8 \\
17 & Medium & Low & Medium & 69 & 28 & 3 \\
18 & Medium & Low & Low & 16 & 73 & 11 \\
19 & Low & High & High & 21 & 28 & 51 \\
20 & Low & High & Medium & 7 & 16 & 77 \\
21 & Low & High & Low & 9 & 12 & 79 \\
22 & Low & Medium & High & 4 & 69 & 27 \\
23 & Low & Medium & Medium & 21 & 27 & 52 \\
24 & Low & Medium & Low & 13 & 21 & 66 \\
25 & Low & Low & High & 3 & 76 & 21 \\
26 & Low & Low & Medium & 4 & 18 & 78 \\
27 & Low & Low & Low & 3 & 6 & 91 \\ \hline \hline \end{tabular}
\end{table} 
Table 12: BRBES’s trained rule base (after optimization). Here, the Z-score for 95% confidence is \(\approx\) 1.96, and \(p_{1}\) and \(p_{2}\) refer to the accuracy level (between 0 and 1) of the semi-supervised BRBES and four state-of-the-art semi-supervised models, respectively. \(n_{1}\) and \(n_{2}\) refer to the number of data instances of the semi-supervised BRBES and four state-of-the-art semi-supervised models, respectively. For 20% higher accuracy over 20181 data instances, the ME is \(\pm\)0.71%. Hence, at the 95% confidence interval, we claim that the higher accuracy of the semi-supervised BRBES lies between 19.29% and 20.71%. Similarly, Figure 7 demonstrates that the explainability of the semi-supervised BRBES is 0.98 against an average explainability of 0.69 of the four state-of-the-art semi-supervised models. Hence, our semi-supervised BRBES offers (0.98 \(-\) 0.69) = 0.29 or 29% higher explainability. With the 95% confidence interval, the ME of this higher explainability is \(\pm\)0.67%. Hence, we state that the higher explainability of semi-supervised BRBES lies between 28.33% and 29.67%. \begin{table}
\begin{tabular}{c c c c c c} \hline \hline
**Model** & **Feature Coverage** & **Relevance** & **Test-Retest Reliability** & **Coherence** & **Difference** \\ \hline Supervised BRBES (Nonoptimized) & 1 & \begin{tabular}{c} 12.01, 3.79, \\ 5.87 \\ \end{tabular} & 146.68 & 87.04\% & 0\% \\ \hline Supervised BRBES (JOPS-optimized) & 1 & \begin{tabular}{c} 18.56, 5.15, \\ 8.04 \\ \end{tabular} & 202.73 & 95.51\% & 0\% \\ \hline Weakly Semi-Supervised BRBES (JOPS-optimized) & 1 & \begin{tabular}{c} 19.39, 5.36, \\ 8.36 \\ \end{tabular} & 210.86 & 97.03\% & 0\% \\ \hline Semi-Supervised BRBES (JOPS-optimized) & 1 & \begin{tabular}{c} 20.41, 5.62, \\ 8.76 \\ \end{tabular} & 219.02 & 98.83\% & 0\% \\ \hline Support Vector Regressor (SVR) (Semi-Supervised) & 1 & \begin{tabular}{c} 17.85, 4.94, \\ 7.66 \\ \end{tabular} & 5.23 & 55.16\% & 44.18\% \\ \hline Linear Regressor (LR) (Semi-Supervised) & 1 & \begin{tabular}{c} 16.65, 4.33, \\ 6.57 \\ \end{tabular} & 4.44 & 36.77\% & 62.79\% \\ \hline MLP Regressor (Semi-Supervised) & 1 & \
\begin{tabular}{c} 17.78, 4.91, \\ 7.57 \\ \end{tabular} & 13.28 & 73.55\% & 25.58\% \\ \hline Deep Neural Network (DNN) (Semi-Supervised) & 1 &
\begin{tabular}{c} 17.42, 4.44, \\ 6.66 \\ \end{tabular} & 3.46 & 43.67\% & 55.81\% \\ \hline \hline \end{tabular}
\end{table}