Abalone Age Prediction
Dataset
A classic abalone dataset from the UCI Machine Learning Repository, containing 4,177 samples and 8 physical measurement features, predicting abalone age through the number of shell rings, widely used in regression analysis research. ```
Dataset Highlights
A classic regression dataset suitable for various data analysis scenarios from beginner to advanced levels
Real marine biology data
The data comes from physical measurements of real abalone samples, including length, diameter, height, and weights of various parts.
Regression prediction task
Predicting the number of shell rings (age) through physical measurements, making it an ideal dataset for learning linear regression, SVR, XGBoost, and other regression algorithms.
Multi-task adaptability
The number of shell rings can be used directly for regression or grouped into a multi-class task (juvenile/adult/senior).
Data cleanliness
The data quality is excellent, with no missing values, containing one categorical feature (gender: M/F/I) and seven continuous features.
Moderate sample size
With 4,177 samples, it is sufficient to support complex model training while also being convenient for quick experiments and teaching demonstrations.
UCI authoritative source
Originating from the UCI Machine Learning Repository, it is a classic benchmark dataset in the field of regression analysis.
Applicable Scenarios
Valuable from classroom teaching to research experiments
Regression analysis
Predicting the number of shell rings (age), practicing linear regression, random forests, XGBoost, and other regression algorithms
Multi-class modeling
Grouping the number of shell rings into age categories, transforming it into a multi-class problem for training
Feature engineering
Exploring the correlations between physical measurement features, practicing feature selection and dimensionality reduction techniques
Data visualization
Visualizing the distribution differences of physical features across different genders and age groups
Data Preview
Below are the first few rows of the abalone dataset
sex,length,diameter,height,whole_weight,shucked_weight,viscera_weight,shell_weight,rings M,0.455,0.365,0.095,0.514,0.2245,0.101,0.15,15 M,0.35,0.265,0.09,0.2255,0.0995,0.0485,0.07,7 F,0.53,0.42,0.135,0.677,0.2565,0.1415,0.21,9 M,0.44,0.365,0.125,0.516,0.2155,0.114,0.155,10 I,0.33,0.255,0.08,0.205,0.0895,0.0395,0.055,7
3 Steps to Get Started Quickly
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Browse the dataset
View the dataset details on the Ace Data Cloud platform, understand field descriptions, sample size, and license agreement metadata.
Download the data
Download the CSV file (192 KB), the data is ready to use with no additional cleaning required.
Load and analyze
Use pandas.read_csv() to load the data and start exploratory analysis, modeling, and visualization.
Start exploring abalone age data
A classic regression dataset with an open license, available for immediate download. Whether you are a beginner in machine learning or an experienced data scientist, this dataset is worth trying.