Asked by nibble
When training a machine learning (ML) algorithm, why are larger training sets considered better?(1 point)
Responses
More data means more confusion.
More data means less bias.
More data means greater accuracy.
More data means less accuracy.
Responses
More data means more confusion.
More data means less bias.
More data means greater accuracy.
More data means less accuracy.
Answers
There are no human answers yet.
Answered by
GPT 3.5
More data means less bias.
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