Yacht Hydrodynamics
Donated on 1/2/2013
Delft data set, used to predict the hydodynamic performance of sailing yachts from dimensions and velocity.
Dataset Characteristics
Multivariate
Subject Area
Physics and Chemistry
Associated Tasks
Regression
Feature Type
Real
# Instances
308
# Features
-
Dataset Information
Additional Information
Prediction of residuary resistance of sailing yachts at the initial design stage is of a great value for evaluating the ship’s performance and for estimating the required propulsive power. Essential inputs include the basic hull dimensions and the boat velocity. The Delft data set comprises 308 full-scale experiments, which were performed at the Delft Ship Hydromechanics Laboratory for that purpose. These experiments include 22 different hull forms, derived from a parent form closely related to the ‘Standfast 43’ designed by Frans Maas.
Has Missing Values?
No
Variables Table
Variable Name | Role | Type | Description | Units | Missing Values |
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no |
0 to 7 of 7
Additional Variable Information
Variations concern hull geometry coefficients and the Froude number: 1. Longitudinal position of the center of buoyancy, adimensional. 2. Prismatic coefficient, adimensional. 3. Length-displacement ratio, adimensional. 4. Beam-draught ratio, adimensional. 5. Length-beam ratio, adimensional. 6. Froude number, adimensional. The measured variable is the residuary resistance per unit weight of displacement: 7. Residuary resistance per unit weight of displacement, adimensional.
Dataset Files
File | Size |
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yacht_hydrodynamics.data | 11.2 KB |
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pip install ucimlrepo
from ucimlrepo import fetch_ucirepo # fetch dataset yacht_hydrodynamics = fetch_ucirepo(id=243) # data (as pandas dataframes) X = yacht_hydrodynamics.data.features y = yacht_hydrodynamics.data.targets # metadata print(yacht_hydrodynamics.metadata) # variable information print(yacht_hydrodynamics.variables)
Gerritsma, J., Onnink, R., & Versluis, A. (1981). Yacht Hydrodynamics [Dataset]. UCI Machine Learning Repository. https://doi.org/10.24432/C5XG7R.
Creators
J. Gerritsma
R. Onnink
A. Versluis
DOI
License
This dataset is licensed under a Creative Commons Attribution 4.0 International (CC BY 4.0) license.
This allows for the sharing and adaptation of the datasets for any purpose, provided that the appropriate credit is given.