Which information is most useful for making predictions in Artificial Intelligence?
Answer and explanation
Correct answer: Reliable and relevant past data
A prediction model learns relationships from past examples that are relevant to the outcome being predicted. Reliable data reduce the risk of learning from errors, while relevant features provide useful signals. An unrelated fact, such as a machine or wall colour, normally adds noise and may mislead the model. Such a colour would matter only if evidence showed a genuine connection with the target.
Frequently asked questions
What is the correct answer to this question?
Reliable and relevant past data
Why is this the correct answer?
A prediction model learns relationships from past examples that are relevant to the outcome being predicted. Reliable data reduce the risk of learning from errors, while relevant features provide useful signals. An unrelated fact, such as a machine or wall colour, normally adds noise and may mislead the model. Such a colour would matter only if evidence showed a genuine connection with the target.
Which subject and chapter does this question cover?
This is a Class 9 Artificial Intelligence question. Chapter: Data Literacy. Topic: Data features.
