Apply your fitted logistic regression model to the test set. Suppose a prediction of "pos" is made if P(Y=pos|X1,...,Xp)0.5, check the misclassification rate (the ratio between the number of incorrect predictions and test size). Use R studio.

diabetes=read.csv("https://raw.githubusercontent.com/AliUofC/Data601/refs/heads/main/diabetes.csv", header = TRUE) str(diabetes) head(diabetes)

R RStudio: Notebook Output 0 X data.frame R Console 6x9 Pregnancies Glucose BloodPressure Skin Thickness Insulin BMI DiabetesPedigreeFunction Age Outcome 6 148 72 35 0 33.6 0.627 50 85 66 29 0 26.6 0.351 31 183 64 0 0 23.3 0.672 32 o- 0 - 0-0 - 89 66 23 94 28.1 0.167 21 137 40 35 168 43.1 2.288 33 0 - 116 74 0 25.6 0.201 30 6 rows