sklearn.datasets.load_diabetes¶
-
sklearn.datasets.load_diabetes(*, return_X_y=False, as_frame=False)[source]¶ Load and return the diabetes dataset (regression).
Samples total
442
Dimensionality
10
Features
real, -.2 < x < .2
Targets
integer 25 - 346
Read more in the User Guide.
- Parameters
- return_X_ybool, default=False.
If True, returns
(data, target)instead of a Bunch object. See below for more information about thedataandtargetobject.New in version 0.18.
- as_framebool, default=False
If True, the data is a pandas DataFrame including columns with appropriate dtypes (numeric). The target is a pandas DataFrame or Series depending on the number of target columns. If
return_X_yis True, then (data,target) will be pandas DataFrames or Series as described below.New in version 0.23.
- Returns
- data
Bunch Dictionary-like object, with the following attributes.
- data{ndarray, dataframe} of shape (442, 10)
The data matrix. If
as_frame=True,datawill be a pandas DataFrame.- target: {ndarray, Series} of shape (442,)
The regression target. If
as_frame=True,targetwill be a pandas Series.- feature_names: list
The names of the dataset columns.
- frame: DataFrame of shape (442, 11)
Only present when
as_frame=True. DataFrame withdataandtarget.New in version 0.23.
- DESCR: str
The full description of the dataset.
- data_filename: str
The path to the location of the data.
- target_filename: str
The path to the location of the target.
- (data, target)tuple if
return_X_yis True New in version 0.18.
- data
