funtodaramola/Early-stage-diabetes-risk-prediction-using-Logistic-Regression

Early-stage-diabetes-risk-prediction-using-Logistic-Regression

Data Set Information:

This has been collected using direct questionnaires from the patients of Sylhet Diabetes Hospital in Sylhet, Bangladesh and approved by a doctor.

Attribute Information:

1. Age 1.20-65
2. Sex 1. Male, 2. Female
3. Polyuria 1. Yes, 2.No.
4. Polydipsia 1. Yes, 2.No.
5. sudden weight loss 1. Yes, 2.No.
6. weakness 1. Yes, 2.No.
7. Polyphagia 1. Yes, 2.No.
8. Genital thrush 1. Yes, 2.No.
9. visual blurring 1. Yes, 2.No.
10. Itching 1. Yes, 2.No.
11. Irritability 1. Yes, 2.No.
12. delayed healing 1. Yes, 2.No.
13. partial paresis 1. Yes, 2.No.
14. muscle stiffness 1. Yes, 2.No.
15. Alopecia 1. Yes, 2.No.
16. Obesity 1. Yes, 2.No.
17. Class 1. Positive, 2. Negative.

Data Set Source: https://archive.ics.uci.edu/ml/datasets/Early+stage+diabetes+risk+prediction+dataset.