Demo XebiCon'18

Use case Diabetes Progression

Uses the sklearn Diabetes dataset to predict diabetes progression using ElasticNet. The predicted "progression" column is a quantitative measure of disease progression one year after baseline

Explicative variables (10):

• Age
• Sex
• Body Mass Index (BMI)
• Blood pressure (BP)
• Serum measurements

References

scikit-learn datasets

Least Angle Regression - Efron, Hastie, Johnstone, Tibshirani, 2003