What is a benefit of a diverse, balanced, and large dataset?
A.
Training time
B.
Data privacy
C.
Model accuracy
The Answer Is:
C
This question includes an explanation.
Explanation:
“Model accuracy is a benefit of a diverse, balanced, and large dataset. A diverse dataset can capture a variety of features and patterns that are relevant for the AI task. A balanced dataset can avoid overfitting or underfitting the model to a specific subset of data. A large dataset can provide enough information for the model to learn from and generalize well to new data.”
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