You are working on a binary classi$$cation problem of diagnosing a disease. The proportions of true "Negative" and "Positive" diagnostic $($the target$)$ in the data are $95\%$ and $5\%,$ respectively. After splitting the data into $80\%$ training and $20\%$ testing, you train several models on the data and get the result