The Heart dataset from the UCI ML repository, configured for a binary classification task. It asks 'Does the patient have heart disease?' and is loaded via the Hugging Face Datasets library. The dataset was uploaded by ShaqOneal and last updated on 2026-04-12.
Use Cases
- Train binary classification models to predict heart disease presence based on patient data.
- Benchmark new machine learning algorithms against a standard medical diagnostic task.
- Study feature importance for heart disease prediction using the dataset's attributes.
Strengths
- Dataset originates from the authoritative UCI Machine Learning Repository.
- Task is clearly defined as binary classification for heart disease diagnosis.
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count, file formats, and license information are unknown, limiting suitability assessment.
Provenance
- Source
- UCI Machine Learning Repository.
- Collection Method
- null
- Time Range
- null
- Freshness
- Last updated 2026-04-12 17:40:49; freshness should be verified.
- Geography
- Hungary (inferred from configuration name).