## 6 Results and Discussion  
### Descriptive Statistics of the Experimental Dataset Variables  
Table 2 presents the descriptive statistics for the water content (%), interconnected porosity (%), real density (g/cm\({}^{3}\)), and uniaxial compressive strength (UCS, MPa). The mean of water content is 6.707% (SD = 2.335%), ranging from 3.73% to 13.62%, which  
indicates moderate variability in sample moisture levels. Interconnected porosity averages 15.459% (SD = 4.377%), with values spanning 9.73% to 28.46%, reflecting heterogeneity of specimens. Real density shows a tight distribution (mean = 2.352 g/cm\({}^{3}\), SD = 0.159 g/cm\({}^{3}\); min = 1.91 g/cm\({}^{3}\), max = 2.62 g/cm\({}^{3}\)), suggesting relatively consistent lithological composition. The uniaxial compressive strength (UCS) displays significant variability (mean = 40.14 MPa, SD = 7.914 MPa; min = 11.4 MPa, max = 54.17 MPa), underscoring a wide range of mechanical strength. The interquartile ranges, water content (5.00-7.552%), porosity (12.35-17.168%), density (2.262-2.478 g/cm\({}^{3}\)), and UCS (34.932-44.845 MPa), further illustrate the data distribution and substantiate the inclusion of all four variables in the subsequent machine learning models. Figure 9 illustrates the frequency distributions of the four principal variables--moisture content, interconnected porosity, real density, and uniaxial compressive strength (UCS)--employed in this study. Water Content (%): The moisture content exhibits an approximately bell-shaped distribution centered at 6-7%, with the majority (\(\approx\)70%) falling between 4% and 9%. A slight rightward skew is apparent, as a small number of specimens reach up to 13-14%. This skew suggests occasional high-moisture outliers, which may influence rock weakening. \begin{table}
\begin{tabular}{c c c c c} \hline \hline  & **Water Content** &
\begin{tabular}{c} **Interconnected** \\ **Porosity** \\ \end{tabular} & **Real Density** & **UCS** \\ \hline Mean & 6.707 & 15.459 & 2.352 & 40.14 \\ Std\_dev & 2.335 & 4.377 & 0.159 & 7.914 \\ Min & 3.73 & 9.73 & 1.91 & 11.4 \\
1 st\_quartile & 5.0 & 12.35 & 2.262 & 34.932 \\ Median & 6.235 & 14.565 & 2.355 & 40.485 \\
3 rd\_quartile & 7.552 & 17.168 & 2.478 & 44.845 \\ Max & 13.62 & 28.46 & 2.62 & 54.17 \\ \hline \hline \end{tabular}
\end{table} 
Table 2: Descriptive statistics of input features (water content, porosity, density) and target UCS for neural network modeling. Figure 9: Frequency distributions of key properties of Seybaplaya Bank rocks: (**A**) Water content (%) showing a modal range between 5% and 7 %; (**B**) Interconnected porosity (%) with most specimens clustering around 12-18%; (**C**) Real density (g/cm\({}^{3}\)) indicating a primary concentration between 2.3 and 2.5 g/cm\({}^{3}\); (**D**) Uniaxial compressive strength (UCS, MPa) with values concentrated primarily between 35 and 45 MPa. Interconnected Porosity (%): Porosity values are concentrated between 10% and 20%, peaking around 12-15%. The distribution is mildly right-skewed, with a tail extending toward 28%, indicating that most rocks share similar characteristics, while a few exhibit significantly higher void space. * Real Density (g/cm\({}^{3}\)): Density measurements cluster tightly between 2.2 and 2.5 g/cm\({}^{3}\), with a modal of 2.3-2.4 g/cm\({}^{3}\) and very few values below 2.1 g/cm\({}^{3}\) or above 2.6 g/cm\({}^{3}\). This narrow spread reflects a relatively homogeneous lithology across the rock bank. * Uniaxial Compressive Strength (UCS, MPa): The strength distribution spans 11 MPa to 60 MPa, with about \(\approx\)75% between 30 MPa and 50 MPa. The histogram shows a mild right skew, driven by a few robust specimens. The central tendency around 35-45 MPa underscores the variability in mechanical resistance, which is essential for robust predictive modeling. Overall, these histograms reveal that real density is relatively uniform.