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Crab Physical Attributes for Regression Analysis
Synthetic Data Generation
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About
Generated for regression tasks, this synthetic dataset provides physical measurements of crabs. It was created as a supplementary resource for the "Regression with a Crab Age Dataset" challenge. The primary goal is to predict the age of crabs based on various physical attributes such as weight and dimensions. This dataset is ideal for developing and testing machine learning models focused on regression analysis within the biological and earth sciences domain.
Columns
- id: A unique identifier for each crab entry.
- Sex: The sex of the crab, categorised as Male (M), Female (F), and Indeterminate (I).
- Length: The length of the crab.
- Diameter: The diameter of the crab.
- Height: The height of the crab.
- Weight: The total weight of the crab.
- Shucked Weight: The weight of the crab meat after being removed from the shell.
- Viscera Weight: The weight of the crab's internal organs.
- Shell Weight: The weight of the crab's shell.
- Age: The age of the crab, which serves as the target variable for regression models.
Distribution
The dataset is provided in a CSV file format named
syn_crab_data.csv. It contains 150,000 records and 10 columns. There are no missing or mismatched values reported in the dataset.Usage
This dataset is well-suited for various data science and machine learning applications. Ideal use cases include:
- Developing and fine-tuning regression models to predict crab age.
- Exploratory data analysis to uncover relationships between a crab's physical characteristics and its age.
- Serving as a benchmark dataset for educational purposes in statistics and machine learning courses.
- Feature engineering to create new predictors for age estimation.
Coverage
This is a synthetically generated dataset, so it does not have specific geographical, time-based, or demographic coverage. It is designed to model the physical attributes of crabs for regression analysis.
License
CC0: Public Domain
Who Can Use It
- Data Scientists and Machine Learning Engineers: Can use this dataset to build, train, and validate predictive models for age estimation.
- Students and Academics: Can utilise the data for research projects, coursework, and learning about regression techniques in a practical context.
- Biologists and Marine Scientists: May find the data useful for simulating population dynamics or studying biometrics, even though it is synthetic.
Dataset Name Suggestions
- Synthetic Crab Biometrics and Age
- Predictive Crab Age Dataset
- Crab Physical Attributes for Regression Analysis
- Advanced Crab Metrics for Age Prediction
Attributes
Original Data Source:Crab Physical Attributes for Regression Analysis
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