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 term used in AI to describe the model's certainty about its output?

• Confidence threshold

• Accuracy level

• Prediction rate

• Output certainty

If a model trained to recognize cats and dogs is shown a duck, what will it likely do?

• Output 'duck' with low confidence

• Output 'cat' or 'dog' with low confidence

• Output nothing

• Output 'unknown'

Why is it important to set an appropriate confidence threshold?

• To ensure the model always gives an answer

• To balance between rejecting incorrect and accepting correct answers

• To make the model faster

• To prevent the model from making any mistakes

What happens if the confidence threshold is set too high?

• The model becomes slower

• The model outputs more options

• The model starts rejecting correct answers

• The model becomes more accurate

How can you control the certainty of a model's output?

• By increasing the model's processing power

• By adding more output categories

• By changing the model's training data

• By adjusting the confidence threshold