Inference
Interference
Accuracy
None of above
Answer is Right!
Answer is Wrong!
The correct answer is: Inference.
Inference is the process of drawing conclusions from evidence. In machine learning, inference is used to make predictions about new data based on the patterns that have been learned from a training set.
Some people use the term inference instead of prediction only to avoid the weird idea that machine learning is a sort of modern magic. They argue that inference is a more accurate term because it emphasizes the fact that machine learning models are not able to see the future, but rather they are able to make predictions based on the evidence that they have been given.
The other options are incorrect.
- Interference is the disturbance of one wave by another.
- Accuracy is the degree of correctness or freedom from error.
- None of the above is a term that is used instead of prediction in machine learning.