sklearn.datasets.load_diabetes

sklearn.datasets.load_diabetes()

Load and return the diabetes dataset (regression).

Samples total	442
Dimensionality	10
Features	real, -.2 < x < .2
Targets	integer 25 - 346

Returns:

data : Bunch

Dictionary-like object, the interesting attributes are: ‘data’, the data to learn and ‘target’, the regression target for each sample.

Examples using sklearn.datasets.load_diabetes

Cross-validation on diabetes Dataset Exercise

Gaussian Processes regression: goodness-of-fit on the ‘diabetes’ dataset

Lasso path using LARS

Linear Regression Example

Sparsity Example: Fitting only features 1 and 2

Lasso and Elastic Net

Lasso model selection: Cross-Validation / AIC / BIC