Cleaned Cleveland Heart Disease Dataset for Machine Learning

Cleaned Cleveland heart disease dataset with descriptive columns for ML. The dataset originates from the Cleveland Clinic Foundation, though the specific collection date is unknown. It is hosted on Kaggle.

Use Cases

• Predicting heart disease presence based on clinical and demographic features mentioned in the description
• Training binary classification models using descriptive columns for ML
• Benchmarking data cleaning and preprocessing techniques for clinical datasets
• Educational demonstrations of medical machine learning workflows

Strengths

• Data has been cleaned, which likely reduces preprocessing effort
• Descriptive columns are included, suggesting features are well-named for analysis

Limitations

• Column-level documentation is absent; field semantics must be inferred after download
• Row count is unknown, which may limit suitability assessment
• Last update date is unknown; freshness unverified

Provenance

Source

Cleveland Clinic Foundation (original source), Kaggle (platform)

Collection Method

Clinical data collection, subsequently cleaned

Geography

Cleveland, Ohio, USA (implied)