What is the Linnerud dataset?
Linnerud dataset establishes relationships between physical attributes and exercise performance. The dataset is in tabular format, with rows representing individual athletes and columns denoting attributes such as weight, waist circumference, pulse rate, and the number of repetitions for each exercise. This organization facilitates straightforward analysis and modeling, enabling researchers to explore correlations, trends, and predictive relationships.
The main application of Linnerud dataset is in regression analysis, in which the aim is to forecast a continuously variable target, for a certain set of input features. To illustrate, scientists may focus on the determination to establish how many repetitions an athlete can do in those exercises by considering their weight, waist circumference, and pulse rate. This is achieved by feeding the dataset to train regression models which in turn reveal those patterns and lead to development of predictive models for evaluating exercise performance.
Characteristics of Linnerud Dataset
Characteristics of Linnerud Dataset are as follows:
- Number of Instances: 20
- Number of Attributes: 3
- Missing Attribute Values: None
Data Structure
The Linnerud dataset comprises two distinct sets of variables:
- Physiological Variables: Weight, Waist, and Pulse.
- Exercise Variables: Chins, Situps, and Jumps.
Samples total |
20 |
Dimensionality | 3 (for both data and target) |
Features | integer |
Targets | integer |
Linnerud Dataset – Explain, Implementation, Application
The Linnerud dataset is a classic dataset in machine learning and statistics. It is a foundational resource for exploring the relationships between physical attributes and exercise performance. Understanding the dataset involves grasping its structure, content, and potential applications. In this article, we will see how to use the Linnerud dataset and how to load it with the help of sklearn.
Table of Content
- What is the Linnerud dataset?
- Characteristics of Linnerud Dataset
- Data Structure
- Exploring Linnerud Dataset
- Physiological Variables of Linnerud Dataset
- Exercise Variables of Linnerud Dataset
- How to Load Linnerud dataset?
- Loading Linnerud Dataset using Sklearn
- Application of Linnerud dataset
- Limitation of Linnerud Dataset
- Impact of Limitations
- Conclusion
Contact Us