“The Big One” Earthquake Preparedness Assessment among Younger Filipinos Using a Random Forest Classifier and an Artificial Neural Network

Exploring the intention to prepare for mitigation among Filipinos should be considered as Philippines is a country prone natural calamities. With frequent earthquakes occurring in country, “The Big One” has been predicted damage livelihood and infrastructure of capital surrounding cities. This study aimed predict (IP) based on several features using machine learning algorithm ensemble. applied decision tree, random forest classifier, artificial neural network algorithms classify affecting factors. Data were collected convenience sampling through self-administered questionnaire with 683 valid responses. The results this proposed learning-based prediction model could younger prepare. experimental also revealed that tree classifier showed understanding, perceived vulnerability, severity factors highly IP One”. by government promote policies guidelines enhance people’s disasters. utilized determine other disasters, even countries.