In several kaggle competitions the scoring was based on "logloss". This relates to classification error.
I can use the value that my classification software puts out, but I don't really understand it. Why do we use it instead of true/false positive/negative rates? Can you help me so that I can explain this to my grandmother or a newbie in the field?
I also like and agree with the quote:
you do not really understand something unless you can explain it to your grandmother
-- Albert Einstein
I tried answering this on my own before posting here.
Links that I did not find intuitive or really helpful include:
These are informative, and accurate. They are meant for a technical audience. They do not draw a simple picture, or give a simple and accessible examples. They are not written for my grandmother.