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- Title
Towards the Evaluation of Date Time Features in a Ship Route Prediction Model.
- Authors
Lo Duca, Angelica; Marchetti, Andrea
- Abstract
Ship Route Prediction (SRP) is an algorithm that allows assessing the future position of a ship using historical data, extracted from AIS messages. In an SRP task, it is very important to select the set of input features, used to train the model. In this paper, we try to evaluate if time-dependent features are relevant in an SRP model, based on a K-Nearest Neighbor classifier, through a practical experiment. In practice, we build two models, with and without the Date Time features, and for both models, we calculate some performance metrics and the SHAP value. Tests show that although the model with the Date Time features outperforms the other model in terms of evaluation metrics, it does not in the practical experiments.
- Subjects
PREDICTION models; K-nearest neighbor classification; SHIPS
- Publication
Journal of Marine Science & Engineering, 2022, Vol 10, Issue 8, p1130
- ISSN
2077-1312
- Publication type
Article
- DOI
10.3390/jmse10081130