What is the prediction of diabetes?

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)

Machine learning is a subset of artificial intelligence that aims to create computer systems that discover patterns in training data to perform classification and prediction tasks on new data [7]. Machine learning puts together tools from statistics, data mining, and optimization to generate models.

Body mass index (weight in kg/(height)2 in m) (BMI or x6), 7. Diabetes pedigree function (DPF or x7 ), 8. Age (years) (AGE or x8), and 9. Class variable (non-diabetes = 0 or diabetes =1)(CV or x9).

Higher income countries have a high probability of diabetes [4]. In 2017, approximately 451 million adults were treated with diabetes worldwide. It is projected that in 2045, almost 693 million patients with diabetes will exist around the globe and half of the population will be undiagnosed .