A Rainfall-Based Machine Learning Decision-Support Prototype for Flood Risk Prediction in Malaysia
This article presents a rainfall-based machine-learning decision-support prototype for flood and non-flood classification in Malaysia using historical flood data from 2000-2010. The dataset contained 825 records, with 480 non-flood and 345 flood records. Thirteen rainfall predictors were used to train Support Vector Ma...