Each observation in the dataset represents an individual patient and includes information on the patient’s diabetes classification, along with the various medical attributes such as the number of pregnancies, plasma glucose concentration, tricep skinfold thickness, body mass index (BMI), diastolic blood pressure, 2-hour serum insulin (serum-insulin), age and diabetes pedigree function. Here, INS is linked to diabetes mellitus.