@liquid-carrot/data.pima-indians-diabetes
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Pima Indians Diabetes Dataset
The Pima Indians Diabetes Dataset involves predicting the onset of diabetes within 5 years in Pima Indians given medical details.
It is a binary (2-class) classification problem. The number of observations for each class is not balanced. There are 768 observations with 8 input variables and 1 output variable. Missing values are believed to be encoded with zero values. The variable names are as follows:
- Number of times pregnant.
- Plasma glucose concentration a 2 hours in an oral glucose tolerance test.
- Diastolic blood pressure (mm Hg).
- Triceps skinfold thickness (mm).
- 2-Hour serum insulin (mu U/ml).
- Body mass index (weight in kg/(height in m)^2).
- Diabetes pedigree function.
- Age (years).
- Class variable (0 or 1).
The baseline performance of predicting the most prevalent class is a classification accuracy of approximately 65%. Top results achieve a classification accuracy of approximately 77%.
A sample of the first 5 rows is listed below.
CSV
6,148,72,35,0,33.6,0.627,50,1
1,85,66,29,0,26.6,0.351,31,0
8,183,64,0,0,23.3,0.672,32,1
1,89,66,23,94,28.1,0.167,21,0
0,137,40,35,168,43.1,2.288,33,1
JSON
[
{
"pregnancies": "6",
"plasma glucose concentration": "148",
"diastolic blood pressure": "72",
"triceps skinfold thickness": "35",
"insulin": "0",
"body mass index": "33.6",
"diabetes pedigree function": "0.627",
"age": "50",
"diabetic": "1"
}, {
"pregnancies": "1",
"plasma glucose concentration": "85",
"diastolic blood pressure": "66",
"triceps skinfold thickness": "29",
"insulin": "0",
"body mass index": "26.6",
"diabetes pedigree function": "0.351",
"age": "31",
"diabetic": "0"
}, {
"pregnancies": "8",
"plasma glucose concentration": "183",
"diastolic blood pressure": "64",
"triceps skinfold thickness": "0",
"insulin": "0",
"body mass index": "23.3",
"diabetes pedigree function": "0.672",
"age": "32",
"diabetic": "1"
}, {
"pregnancies": "1",
"plasma glucose concentration": "89",
"diastolic blood pressure": "66",
"triceps skinfold thickness": "23",
"insulin": "94",
"body mass index": "28.1",
"diabetes pedigree function": "0.167",
"age": "21",
"diabetic": "0"
}, {
"pregnancies": "0",
"plasma glucose concentration": "137",
"diastolic blood pressure": "40",
"triceps skinfold thickness": "35",
"insulin": "168",
"body mass index": "43.1",
"diabetes pedigree function": "2.288",
"age": "33",
"diabetic": "1"
}
]