Machine learning

o Number of times pregnant. O Plasma glucose concentration a 2 hours in an oral glucose tolerance test. o Diastolic blood pressure (mm Hg). o Triceps skinfold thickness (mm). o 2-Hour serum insulin (mu U/ml). o Body mass index (weight in kg/ (height in m)^2). o Diabetes pedigree function. O Age (years). o class variable (0 or 1). A sample of the first 5 rows is listed below: 6,148, 72,35,0, 33.6,0.627,50,1 1,85, 66,29,0,26.6,0.351,31,0 8,183, 64,0,0,23.3,0.672,32,1 1,89, 66,23,94,28.1,0.167,21,0 0,137,40,35,168, 43.1, 2.288,33,1 Please use logistic regression model (from skleam package) with five different level values of regularization parameter C to do classification training and testing with testing dataset size taking 20% of the total dataset. Among the five different level values of regularization parameter C, which one gives the best performance and what is the accuracy for the best