Confidence Threshold

The video discusses the concept of uncertainty in both daily life and artificial intelligence, focusing on the idea of a confidence threshold. It explains how AI models provide outputs with a certain level of confidence and how this confidence can be adjusted using a confidence threshold. An example is given using a model trained to recognize cats and dogs, illustrating what happens when an unexpected input, like a duck, is introduced. The video emphasizes the importance of setting an appropriate confidence threshold to ensure accurate model outputs without rejecting correct answers.

What is the concept of confidence threshold in artificial intelligence?

Explain the relationship between confidence threshold and the accuracy of a model's output.

How does a model respond when it encounters an input it was not trained on, such as a picture of a duck?

Why is it important to control the certainty of output from a model?

What happens if the confidence threshold is set too high?