What is the difference between Type1 and Type2 errors?

Data Science, AI and ML
#1

Type 1 error is classified as a false positive. I.e. This error claims that something has happened but the fact is nothing has happened. It is like a false fire alarm. The alarm rings but there is no fire.

Type 2 error is classified as a false negative. I.e. This error claims that nothing has happened but the fact is that actually, something happened at the instance.

The best way to differentiate a type 1 vs type 2 error is:

  • Calling a man to be pregnant- This is a Type 1 example
  • Calling pregnant women and telling them that she isn’t carrying any baby- This is a type 2 example