Drug-Classification is a dataset from OpenML for predicting drug types based on patient attributes. The dataset includes features such as Age, Sex, Blood Pressure Levels, Cholesterol Levels, and the Sodium to Potassium Ratio. It is released under a CC0 1.0 license.
Use Cases
- Predicting drug type based on patient age and sex.
- Classifying appropriate drugs using blood pressure and cholesterol levels.
- Building a multi-class classifier leveraging the sodium to potassium ratio.
Strengths
- Includes a clear target variable for supervised learning tasks.
- Features described cover demographic and key physiological metrics.
Limitations
- Row count and dataset scale are unknown, which may limit suitability assessment.
- Column-level documentation is absent; field semantics must be inferred after download.
- Last update date is unknown; freshness unverified.