## 3 Modeling and Analyzing the Energy Efficiency without the Proposed Approach
* Data set records are in different climate zones (Table 1) and same energy efficiency rating is not obtained with similar conditions in a cold climate zone or a warm climate zone. Region 7 has the most A, B rating (3.84%) and region 5 the least (1.99%). This difference should be referring to the buildings structure, different equipment, and surely the family lifestyle. \begin{table}
\begin{tabular}{c c c c} \hline \hline
**Row** & **Rule** &
\begin{tabular}{c} **Result** \\ **(Energy Efficiency)** \\ \end{tabular} & **Percentage** \\ \hline \multirow{4}{*}{1} & The built year is before 1930 and the home structure is semi-detached, & & \\  & has cavity walls, an insulation depth less than 150 mm and uses & G & 75\% \\  & economy 7 electricity meters. & & \\  & The home area is 51 m\({}^{2}\) to 100 m\({}^{2}\) and has a mid-terrace structure. & & \\
2 & The built year is 1966 and 1982, the home has cavity walls and its & C & 100\% \\  & boiler was installed in 2009. & & \\
3 & The built-year is 1966 and 1982, the home has cavity walls and its & F & 100\% \\  & boiler was installed in 2010. & & \\  & The home area is 51 m\({}^{2}\) to 100 m\({}^{2}\) and has a mid-terrace structure. & & \\
4 & The built-year is 1966 and 1982, the home has cavity walls and its & D & 80\% \\  & boiler was installed in 2006 or 2011. & & \\
5 & The home area is 51 m\({}^{2}\) to 100 m\({}^{2}\) and has a mid-terrace structure. & & \\
5 & The built year is 1966 and 1982, the home has cavity walls and its & E & 71.50\% \\  & boiler was installed in 2005 or 2012. & & \\
6 & The region is 4 and the built year is 1930 to 1949, the home structure is & C & 100\% \\  & a flat and which has cavity walls. & & \\
7 & The region is 4 and the built year is 1930 to 1949, the home structure is & D & 66.70\% \\  & a flat and it does not have cavity walls. & & \\  & The region is 1 and the home structure is semi-detached, and the built & D & 100\% \\
8 & year is after 1966. The homes have not installed wall insulation, & & \\  & and they use economy 7 electricity meters. & & \\  & The region is 1 and the home structure is semi-detached, and the built & C & 66.80\% \\
9 & year is after 1966. The homes have not installed wall insulation, & C & 66.80\% \\  & and they do not not use economy 7 electricity meters. & & \\  & The houses are in Wales and their built-year is before 1930, the home structure is & C & 100\% \\
10 & structure is semi-detached and does not have cavity walls, their & C & 100\% \\  & insulation depth is less than 150 mm, and a boiler has been installed. & & \\  & The region is 1 and the built year is before 1930, the home structure is & F & 100\% \\
11 & semi-detached, and does not have cavity walls, and a boiler has been installed and their insulation depth is less than 150 mm & & \\  & The region is 3 and the built-year is before 1930, the home structure is & D & 100\% \\
12 & semi-detached, and does not have cavity walls, the home’s boiler was installed in 2009 and lost insulation was used. & E & 66.80\% \\ \hline \hline \end{tabular}
\end{table} 
Table 2: The corresponding rules of the C5.0 tree (considering energy efficiency as the target). * It is obvious that installing insulation on the ceiling and walls leads to a reduction of energy dissipation. Rules 12 and 13 show that an improvement in energy efficiency is achieved by installing insulation in the roof of residential buildings. Also, rules 6 and 7 state that the structure of the cavity wall is better than other structures. Policies to install new insulators in homes that do not have the proper equipment, especially among older homes, can lead to significant improvements in energy efficiency. In general, old houses have a very bad energy efficiency. Installing proper insulation and using appropriate wall structure, also using equipment with energy efficiency grade of A or B can be effective in improving the efficiency of these homes. The installation of boilers and the non-use of electricity tariffs have led to better energy efficiency among households of this dataset.