Diabetes prediction in Indians using XgBoost classifier sklearn.
This dataset describes the medical records for Pima Indians and whether or not each patient will have an onset of diabetes within ve years.
Fields description follow:
preg = Number of times pregnant
plas = Plasma glucose concentration a 2 hours in an oral glucose tolerance test
pres = Diastolic blood pressure (mm Hg)
skin = Triceps skin fold thickness (mm)
test = 2-Hour serum insulin (mu U/ml)
mass = Body mass index (weight in kg/(height in m)^2)
pedi = Diabetes pedigree function
age = Age (years)
class = Class variable (1:tested positive for diabetes, 0: tested negative for diabetes)
Link to original dataset -- > https://www.kaggle.com/kumargh/pimaindiansdiabetescsv