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The objective of this repository is to share the scripts and the datasets used to train ML models presented in the paper

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ML_Models

The "Parameter search.ipynb" script was used to do hyperparameter tuning with RandomizedSearchCV

Training 1

The following folders contains the first ML models that were trained using the first dataset as explained in the paper:

Training_1.1

This folder contains ML models trained on the first dataset

Training_1.2

This folder contains ML models trained on the first dataset after trying the PCA method

Training 2

The following folders contains the second ML models that were trained using the second dataset as explained in the paper:

Training_2.1

This folder contains ML models trained on the second dataset before transforming the output

Training_2.2

This folder contains ML models trained on the second dataset after the transformation technique was applied

Second dataset transformation results

The figures below present the scatter plots of X and Y coordinates vs. Flooded area before (figures on the left) and after the trasnformation technique (figures on the right)

The first breakwater structure's coordinates

Image

The second breakwater structure's coordinates

Image

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The objective of this repository is to share the scripts and the datasets used to train ML models presented in the paper

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