Asked by ^_^
When implementing a basic classification system using an AI algorithm, which of the following is crucial for selecting appropriate data?
Using random data from various sources to ensure diversity
Choosing data that is irrelevant to the classification task.
Selecting labeled data that represents the target classes accurately.
Including as much data as possible, regardless of its quality or relevance
Using random data from various sources to ensure diversity
Choosing data that is irrelevant to the classification task.
Selecting labeled data that represents the target classes accurately.
Including as much data as possible, regardless of its quality or relevance
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