This dataset is originally from the National Institute of Diabetes and Digestive and Kidney Diseases. The objective of the dataset is to diagnostically predict whether or not a patient has diabetes, based on certain diagnostic measurements included in the dataset .
Read moreWhat is diabetes pedigree?
DiabetesPedigreeFunction: Diabetes pedigree function (a function which scores likelihood of diabetes based on family history ) Age: Age (years) Outcome: Class variable (0 if non-diabetic, 1 if diabetic)
Read moreWhat are predictors of diabetes?
Based on a conceptual model (Fig 1), 16 potential predictors of diabetes status were considered for investigation: age, sex, race, marital status, body mass index (BMI) , physical activity, quantity of sleep, smoking status, fruit intake, vegetable consumption, hypertension, high cholesterol, arthritis, education, …
Read moreWhat are diabetic parameters?
At 2 hours, a blood sugar level of 140 mg/dL or lower is considered normal, 140 to 199 mg/dL indicates you have prediabetes, and 200 mg/dL or higher indicates you have diabetes.
Read moreHow do you deal with diabetes mentally?
10 Tips for Coping with Diabetes Distress
Read moreHow do I download sklearn datasets in Python?
download() function to download the datasets that are comes with the NLP suite . In sklearn, it talks about loading data sets (http://scikit-learn.org/stable/datasets/) and fetching datas from http://mldata.org/ but for the rest of the datasets, the instructions were to download from the source.
Read moreHow many datasets are in sklearn?
Intro to Scikit-Learn’s Datasets Scikit-Learn provides seven datasets , which they call toy datasets.
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