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Animal Health Classification Dataset
Data Science and Analytics
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About
This dataset presents an intricate data challenge in the realm of animal health assessment, enabling the development of predictive models. It features a diverse array of animal species, from birds to mammals, with the goal of determining if an animal's condition is dangerous based on five distinct symptoms. This resource is particularly valuable for those interested in animal welfare and wildlife conservation, as it allows for the creation of a classification system that transcends taxonomic boundaries. However, due to its manual collection process, potential sources of error such as spelling mistakes and variations in symptom representation are present, requiring meticulous data-cleaning efforts. Users will also confront challenges such as class imbalance and the need for feature engineering to achieve robust classification models. This dataset demands careful handling and methodological rigour to deliver insightful and ethically sound results.
Columns
- AnimalName: Specifies the animal type, such as dog or cat. The dataset includes 46 unique animal names, with Buffaloes (15%) and Sheep (13%) being the most common among 871 valid entries.
- symptoms1-5: These columns detail five distinct symptoms observed in the animals.
- symptoms1: Records symptoms, with Fever being the most common at 30%. There are 232 unique symptoms across 871 valid entries.
- symptoms2: Captures further symptoms, with Diarrhea (14%) and Difficulty in breathing (3%) noted. It contains 230 unique symptoms from 871 valid entries.
- symptoms3: Lists symptoms like Coughing (11%) and Vomiting (7%). This column has 229 unique symptoms across 871 valid entries.
- symptoms4: Includes symptoms such as Weight loss (13%) and Death (6%). There are 217 unique symptoms among 871 valid entries.
- symptoms5: Documents symptoms like Pains (11%) and Pain (8%). This column features 203 unique symptoms from 871 valid entries.
- Dangerous: A Boolean column indicating whether the animal's condition is dangerous or not. Out of 869 valid entries, 849 (97%) are classified as true (dangerous), while 20 (2%) are false (not dangerous). Two entries are missing.
Distribution
The dataset is provided in CSV format (
data.csv) and is approximately 64.5 kB in size, featuring 7 columns. It contains 871 valid records for most symptom and animal name columns, and 869 valid records for the 'Dangerous' classification. Raw, cleaned, and encoded versions of the data are available for various stages of machine learning development.Usage
This dataset is ideal for developing predictive models for animal health assessment and for creating classification systems that can be applied across different animal species. It serves as a valuable resource for individuals and organisations focused on animal welfare, wildlife conservation, and the study of animal diseases. It also provides a practical context for addressing machine learning challenges such as class imbalance and feature engineering.
Coverage
The dataset's geographic scope is indicated as Brazil. It features a diverse array of animal species, ranging from birds to mammals. Specific time ranges or further demographic details beyond species diversity are not explicitly provided within the sources.
License
CC0: Public Domain
Who Can Use It
This dataset is suitable for:
- Animal Welfare and Wildlife Conservation Enthusiasts: For creating tools that assess and improve animal well-being.
- Machine Learning Beginners: To learn data cleaning, exploration, and model building using real-world animal health data.
- Data Scientists and Researchers: For developing and refining predictive models for animal condition classification and exploring challenges like class imbalance.
- Veterinary Professionals and Biologists: To gain insights into common animal symptoms and their potential danger levels across species.
Dataset Name Suggestions
- Animal Health Classification Dataset
- Multi-Species Animal Symptom Data
- Dangerous Animal Condition Predictor
- Wildlife Health & Welfare Dataset
- Brazilian Animal Sickness Data
Attributes
Original Data Source: Animal Health Classification Dataset
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