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Fig 1.

Schematic of parameters used in describing wave overtopping discharge at sea defences (adopted from [3]).

See glossary for further description of the parameters.

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Fig 1 Expand

Fig 2.

Typical structure of a decision tree (DT).

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Fig 3.

The structure and workflow of a RF algorithm.

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Fig 4.

The structure and workflow of a GBDT algorithm.

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Fig 5.

The structure of a SVR algorithm.

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Fig 6.

Structure of a feed forward back propagation ANN.

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Table 1.

List of the hyperparameters and their corresponding best values.

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Table 2.

Range of overtopping parameters used to extract data for vertical breakwaters.

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Table 3.

Correlation table of overtopping parameters.

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Fig 7.

PCA Decomposition and scores of the dataset.

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Fig 8.

Framework of the methodology.

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Fig 9.

Comparison of the dimensionless q (predicted) and dimensionless q (measured) for—a) RF, b) ANN, c) GBDT, and d) SVR.

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Table 4.

Evaluation scores of ML algorithms for five key statistical metrices.

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Fig 10.

a) Feature importance of the RF and GBDT and b) Permutation Importance analysis of SVR and ANN.

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Fig 11.

Variation of dimensionless overtopping rate ‘q’ with Rc/Hm0,t for a) RF, b) ANN, c) GBDT, and d) SVR.

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Fig 12.

Variation of discrepancy ratio (DR) with Rc/Hm0,t for a) RF, b) ANN, c) GBDT, and d) SVR.

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Fig 13.

Taylor’s diagram of the statistical scores from the prediction analysis of the four ML algorithms.

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