Uploaded Test files

venv/Lib/site-packages/sklearn/datasets/descr/diabetes.rst

@@ -0,0 +1,38 @@
+.. _diabetes_dataset:
+
+Diabetes dataset
+----------------
+
+Ten baseline variables, age, sex, body mass index, average blood
+pressure, and six blood serum measurements were obtained for each of n =
+442 diabetes patients, as well as the response of interest, a
+quantitative measure of disease progression one year after baseline.
+
+**Data Set Characteristics:**
+
+  :Number of Instances: 442
+
+  :Number of Attributes: First 10 columns are numeric predictive values
+
+  :Target: Column 11 is a quantitative measure of disease progression one year after baseline
+
+  :Attribute Information:
+      - age     age in years
+      - sex
+      - bmi     body mass index
+      - bp      average blood pressure
+      - s1      tc, T-Cells (a type of white blood cells)
+      - s2      ldl, low-density lipoproteins
+      - s3      hdl, high-density lipoproteins
+      - s4      tch, thyroid stimulating hormone
+      - s5      ltg, lamotrigine
+      - s6      glu, blood sugar level
+
+Note: Each of these 10 feature variables have been mean centered and scaled by the standard deviation times `n_samples` (i.e. the sum of squares of each column totals 1).
+
+Source URL:
+https://www4.stat.ncsu.edu/~boos/var.select/diabetes.html
+
+For more information see:
+Bradley Efron, Trevor Hastie, Iain Johnstone and Robert Tibshirani (2004) "Least Angle Regression," Annals of Statistics (with discussion), 407-499.
+(https://web.stanford.edu/~hastie/Papers/LARS/LeastAngle_2002.pdf)