What is generally the basis for predicting an outcome in Artificial Intelligence?
Answer and explanation
Correct answer: Past data and learned patterns
A prediction model learns relationships or patterns from relevant examples and uses them to estimate an outcome for new input. For instance, past demand may help estimate future demand. The estimate can be uncertain and may fail when conditions change, but it is not based merely on luck, computer size, or random decisions without data.
Frequently asked questions
What is the correct answer to this question?
Past data and learned patterns
Why is this the correct answer?
A prediction model learns relationships or patterns from relevant examples and uses them to estimate an outcome for new input. For instance, past demand may help estimate future demand. The estimate can be uncertain and may fail when conditions change, but it is not based merely on luck, computer size, or random decisions without data.
Which subject and chapter does this question cover?
This is a Class 9 Artificial Intelligence question. Chapter: Reflection, Project Cycle, and Ethics. Topic: AI Domains.
