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Your team is working on building a machine learning model. There are a bunch of terminologies that are being used .
What is an "instance" or an "example"?
- A . An input variable is used in making predictions. E.g. number of rooms in a house price prediction model.
B. One row of a dataset containing one or more input columns and possibly a prediction result.
C. An answer for a prediction task, either the answer produced by a machine learning system or the right answer supplied in training data. E.g. image contains a "cat".
D. The "knobs" that you tweak during successive runs of training a model. E.g. learning rate
Suggested Answer: B
Explanation:
One row of a dataset containing one or more input columns and possibly a prediction result.
Explanation:
One row of a dataset containing one or more input columns and possibly a prediction result.
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https://developers.google.com/machine-learning/guides/rules-of-ml#terminology
Posted : 11/11/2022 2:46 am