sklearn/diabetes·Available
Diabetes Dataset
Imagine you're a doctor trying to figure out which health measurements today predict how fast a patient's diabetes will get worse over the next year. This dataset has exactly that: 442 real patients, their 10 basic health numbers at the start (things like age, weight, cholesterol), and how much their diabetes progressed after a year. It's perfect for testing prediction models or learning which measurements actually matter most.
- Source rows:
- 442
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Questions this data answers
- Which baseline health measurements best predict how fast diabetes will progress?
- Can we build a model to forecast disease progression from a patient's initial lab results?
- How do age, BMI, and blood pressure relate to diabetes progression outcomes?
- What's the accuracy of different regression algorithms on this dataset?
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