Supplementary Dataset for: Multi-Hazard Risk Assessment Framework for Rural Schools in Northwestern Colombia: Integrating App-Based Surveys, Expert Weighting, and Machine Learning

This repository contains the supplementary tables associated with the article “Multi-Hazard Risk Assessment Framework for Rural Schools in Northwestern Colombia: Integrating App-Based Surveys, Expert Weighting, and Machine Learning.” The dataset includes detailed calculations and results supporting the Analytic Hierarchy Process (AHP) weighting, formula-based risk indices, and Random Forest (RF) modeling used to assess single- and multi-hazard risk across 100 rural schools in the Department of Antioquia, northwestern Colombia. Table S2 presents AHP pairwise comparison matrices and component-level indices. Table S3 lists the primary risk indicators and component calculations. Table S4 includes formula-based risk index computations. Table S5 summarizes Random Forest model predictions and weighted risk results. Table S6 provides normalized feature weights from RF models 1 and 2. Table S7 compiles single-hazard and multi-hazard risk indices. These data support the reproducibility of the proposed methodology and can serve as a reference for similar risk assessment frameworks in rural or data-scarce regions.