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