Abalone Dataset

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 shell ring count, widely used in regression analysis research.

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4,177 samples 9 features CC BY 4.0 license UCI ML Repository
Abalone Dataset
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4,177
Total Samples
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9
Feature Dimensions
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3
Gender Categories
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CC BY 4.0
Open License Agreement

Dataset Highlights

A classic regression dataset suitable for various data analysis scenarios from beginner to advanced.

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Real Marine Biological Data

The data comes from physical measurements of real abalone samples, including length, diameter, height, and weights of various parts.

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Regression Prediction Task

Predicting shell ring count (age) from physical measurements, making it an ideal dataset for learning linear regression, SVR, XGBoost, and other regression algorithms.

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Multi-task Adaptation

Shell ring count can be used directly for regression or grouped into a multi-classification task (juvenile/adult/senior).

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Data Cleanliness

The data quality is excellent, with no missing values, containing one categorical feature (gender: M/F/I) and seven continuous features.

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Moderate Sample Size

4,177 samples are sufficient to support complex model training while being convenient for quick experiments and teaching demonstrations.

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UCI Authoritative Source

Originating from the UCI Machine Learning Repository, it is a classic benchmark dataset in the field of regression analysis.

Applicable Scenarios

From classroom teaching to research experiments, it can provide value

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Regression Analysis

Predict the number of rings on the abalone shell (age), practice linear regression, random forests, XGBoost, and other regression algorithms

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Multi-class Modeling

Group the number of rings into age ranges, transforming it into a multi-class problem for training

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Feature Engineering

Explore the correlation between physical measurement features, practice feature selection and dimensionality reduction techniques

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Data Visualization

Visualize the distribution differences of physical features across different genders and age groups

Regression Prediction Marine Biology Beginner Dataset Feature Engineering Benchmarking

Data Preview

The following are the first few rows of the abalone dataset

CSV
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

From browsing to analysis, you can start your data science project in just a few minutes

01

Browse the Dataset

View dataset details on the Ace Data Cloud platform, including field descriptions, sample size, and licensing agreements.

02

Download Data

Download the CSV file (192 KB), data is ready to use without additional cleaning.

03

Load and Analyze

Use pandas.read_csv() to load the data and start exploratory analysis, modeling, and visualization.

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Start Exploring Abalone Age Data

A classic regression dataset with open licensing, available for immediate download. Whether you are a beginner in machine learning or an experienced data scientist, this dataset is worth trying.

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