The dataset contains with 9 attributes (8 features and 1 target variable). Notably, it has no missing values as they were removed prior to its original publication. Attribute Name Description Sex M (Male), F (Female), and I (Infant) Length Continuous Longest shell measurement Diameter Continuous Perpendicular to length Height Continuous Measurement with meat in shell Whole weight Continuous Total weight of the abalone Shucked weight Continuous Weight of the meat only Viscera weight Continuous Gut weight after bleeding Shell weight Continuous Weight of the shell after drying Rings (Target) +1.5 gives the age in years Predicting Age: The Machine Learning Task UCI: Abalone — Resource hub | IBM Cloud Pak for Data
Many educators host the dataset in CSV format, such as jbrownlee/Datasets . Dataset Overview & Structure
For direct integration into your code, you can use the fetch_ucirepo function with id=1 .
The is a cornerstone of machine learning research, primarily used for regression and classification tasks . Originally donated to the UCI Machine Learning Repository in 1995, it stems from a study conducted in Tasmania to predict the age of abalone (marine snails) through physical measurements instead of the traditional, time-consuming method of counting shell rings under a microscope. Where to Download the Abalone Dataset
The official home of the dataset. You can access the Abalone Dataset page to download the .data and .names files.
There are several reputable sources to download the dataset in various formats:
Ideal for those who prefer CSV formats or want to use integrated notebooks. Popular versions include the Abalone Age Prediction Dataset (UCI) and the original study version .
Abalone Dataset ((full)) Download Review
The dataset contains with 9 attributes (8 features and 1 target variable). Notably, it has no missing values as they were removed prior to its original publication. Attribute Name Description Sex M (Male), F (Female), and I (Infant) Length Continuous Longest shell measurement Diameter Continuous Perpendicular to length Height Continuous Measurement with meat in shell Whole weight Continuous Total weight of the abalone Shucked weight Continuous Weight of the meat only Viscera weight Continuous Gut weight after bleeding Shell weight Continuous Weight of the shell after drying Rings (Target) +1.5 gives the age in years Predicting Age: The Machine Learning Task UCI: Abalone — Resource hub | IBM Cloud Pak for Data
Many educators host the dataset in CSV format, such as jbrownlee/Datasets . Dataset Overview & Structure abalone dataset download
For direct integration into your code, you can use the fetch_ucirepo function with id=1 . The dataset contains with 9 attributes (8 features
The is a cornerstone of machine learning research, primarily used for regression and classification tasks . Originally donated to the UCI Machine Learning Repository in 1995, it stems from a study conducted in Tasmania to predict the age of abalone (marine snails) through physical measurements instead of the traditional, time-consuming method of counting shell rings under a microscope. Where to Download the Abalone Dataset Dataset Overview & Structure For direct integration into
The official home of the dataset. You can access the Abalone Dataset page to download the .data and .names files.
There are several reputable sources to download the dataset in various formats:
Ideal for those who prefer CSV formats or want to use integrated notebooks. Popular versions include the Abalone Age Prediction Dataset (UCI) and the original study version .
