Suppose we are trying to model a classification problem with two labels: 'sick' and 'healthy! For the purpose of this test, we consider a positive result to be testing sick and a negative to test as healthy. After fitting the model with Logistic Regression in R$,$ we compare predicted values from the actual values, as shown below $($the so called confusion matrix$)$: