Machine learning and analysis code with combined BEWARE 2 and Coral reef profiles for wave-runup prediction datasets

This dataset contains the data and code used to develop and evaluate a machine-learning approach for analysing coastal wave runup. The dataset includes a combined and randomised dataset derived from the BEWARE 2 and Coral reef profiles for wave-runup prediction datasets, together with the scripts required for machine-learning testing and subsequent results analysis.

The accompanying code includes 1_Testing_MLP.py, which implements the multilayer perceptron (MLP) testing workflow, and 2_Results_Analysis.py, which processes and analyses the resulting model outputs.

The dataset also includes the normalisation scales used for the training data.