7  Kaggle Diabetes

This dataset is originally from the National Institute of Diabetes and Digestive and Kidney Diseases. The objective is to predict based on diagnostic measurements whether a patient has diabetes. The dataset is now transferred from Kaggle. The dataset file can be downloaded from here. After downloading it, you may put it in the working directory and use the following code to load it.

import pandas as pd

df = pd.read_csv('diabetes.csv', header=0)

Several constraints were placed on the selection of these instances from a larger database. In particular, all patients here are females at least 21 years old of Pima Indian heritage.

• Pregnancies: Number of times pregnant (numeric)
• Glucose: Plasma glucose concentration a 2 hours in an oral glucose tolerance test (numeric)
• BloodPressure: Diastolic blood pressure (mm Hg) (numeric)
• SkinThickness: Triceps skin fold thickness (mm) (numeric)
• Insulin: 2-Hour serum insulin (mu U/ml) (numeric)
• BMI: Body mass index (weight in kg/(height in m)^2) (numeric)
• DiabetesPedigreeFunction: Diabetes pedigree function (numeric)
• Age: Age (years) (numeric)
• Outcome: Class variable (0 or 1) (categorical)