For the below binary classification examples, which one is more important among 'a false negative' and 'a false positive'? (NOTE: Deducted points for the wrong answer(s). 0 point for 'Not Answering'. If students have specific/unique assumptions, please write them down on your plank paper).

Example 1: What if Jury or judge decides to make a criminal go free? (assuming the 'positive' is the prediction of 'criminal').

Example 2:

 Assume

there is an airport ‘A’ which has received high-security threats and

based on certain characteristics they identify whether a particular

passenger can be a threat or not. Due to a shortage of

staff, they decide to scan passengers being predicted as risk positives

by their predictive model. What will happen if a true threat customer is

being flagged/predicted as non-threat by airport model? (assuming the 'positive' is the prediction of 'threat/risk').