## 3 Results
\begin{table}
\begin{tabular}{c c c c c c c c c c c c} \hline \hline  & & **Count** & **Positives** & **Negatives** & **TN** & **FN** & **FP** & **TP** & **ACC** & **Sensitivity** & **Specificit** & **AUC** \\ \hline \multirow{6}{*}{**L**} & ALL & 6,311,320 & 46,010 & 6,265,310 & 4,786,221 & 8022 & 1,479,089 & 37,988 & 0.76 & 0.82 & 0.76 & 0.87 \\  & COA & 806,671 & 1895 & 804,576 & 698,607 & 967 & 105,969 & 928 & 0.87 & 0.44 & 0.87 & 0.82 \\  & SSV & 1,429,050 & 382 & 1,428,668 & 1,369,074 & 367 & 59,594 & 15 & 0.96 & 0.04 & 0.96 & 0.54 \\  & ILO & 1,161,436 & 38,525 & 1,122,911 & 378,750 & 4171 & 744,161 & 34,354 & 0.36 & 0.89 & 0.34 & 0.69 \\  & SVC & 2,794,399 & 4975 & 2,789,424 & 2,221,036 & 2295 & 568,388 & 2680 & 0.80 & 0.54 & 0.80 & 0.73 \\  & SMG & 119,964 & 233 & 119,731 & 118,754 & 222 & 977 & 11 & 0.99 & 0.05 & 0.99 & 0.78 \\ \hline \multirow{6}{*}{**L**} & COA & 806,471 & 1895 & 804,576 & 590,261 & 219 & 214,315 & 1676 & 0.73 & 0.88 & 0.73 & 0.88 \\  & SSV & 1,429,050 & 382 & 1,428,668 & 839,269 & 66 & 589,399 & 316 & 0.59 & 0.83 & 0.59 & 0.78 \\  & ILO & 1,161,436 & 38,525 & 1,122,911 & 737,214 & 13392 & 385,697 & 25,133 & 0.66 & 0.65 & 0.66 & 0.72 \\  & SVC & 2,794,399 & 4975 & 2,789,424 & 1,880,683 & 1038 & 908,741 & 3937 & 0.67 & 0.79 & 0.67 & 0.80 \\  & SMG & 119,964 & 233 & 119,731 & 79,805 & 25 & 39,926 & 208 & 0.67 & 0.89 & 0.67 & 0.87 \\ \hline \multirow{6}{*}{**L**} & COA & 806,471 & 1895 & 804,576 & 622,805 & 562 & 181,771 & 1333 & 0.77 & 0.70 & 0.77 & 0.82 \\  & SSV & 1,429,050 & 382 & 1,428,668 & 1,343,953 & 361 & 84,715 & 21 & 0.94 & 0.05 & 0.94 & 0.53 \\ \cline{1-1}  & ILO & 1,161,436 & 38,525 & 1,122,911 & 455,548 & 7448 & 66,7363 & 31,077 & 0.42 & 0.81 & 0.41 & 0.63 \\ \cline{1-1}  & SVC & 2,794,399 & 4975 & 2,789,424 & 2,044,869 & 2021 & 744,555 & 2954 & 0.73 & 0.59 & 0.73 & 0.69 \\ \cline{1-1}  & SMG & 119,964 & 233 & 119,731 & 119,002 & 229 & 729 & 4 & 0.99 & 0.02 & 0.99 & 0.76 \\ \hline \hline \end{tabular}
\end{table} 
Table 3: Validation results (confusion matrices) for the sixteen models. for all the models, with the exception of ILO. It is worth noting that only the SVC imported local model still performs with acceptable scores for all the main indices (sensitivity, specificity, ACC, AUC). At the same time, the local models are in general characterized by higher (0.8-0.9) AUC values, with a much more balanced sensitivity/specificity ratio, as a result of higher sensitivity and lower specificity. Again, the opposite behavior is observed for ILO. Finally, the one-leave-out models confirm the general trend of performance indices' variation, which was observed for ALL_local validations. With regard to the role of the predictors, the results obtained from the local modelling highlight two very different responses (Figure 5): SMG and SVV are fully controlled by elevation and steepness, whilst ILO, COA, and SVC also required the discriminating contribution of either landform classification (COA and SVC) or outcropping lithology (ILO and SVC) or soil use (for COA and ILO). Elevation, steepness, outcropping lithology, and soil use are all selected by the ALL grand model. In Figure 6, a comparison between the ALL and LOC landslide susceptibility maps for two representative sectors (Ibopango and San Salvador) is given, highlighting either coherent or incoherent spatial patterns among the models for the two sectors. Figure 5: The most important variables for the ALL model (**a**) and the LOC (left side) and the OLO (right side) models (**b–f**). The common variables for the LOC and the OLO models are presented in amaranth, while the different variables are presented in green. Thin lines are used for variables with a lower overall (minor than 30 out of 100). Here are the acronyms used: geo 2 = soft rock; geo 3 = hard rock; geo 4 = medium rock; geo 5 = very soft soil; geo 6 = soft soil; geo 8 = medium soil; lcl 3 = valleys; lcl 4 = plains; lcl 5 = open slopes; lcl 8 = midslope ridges; use 2 = forest; uso 4 = crop and pasture; uso 5 = permanent crop; uso 11 = shrub vegetation.