Exam4Training

What is a benefit of a diverse, balanced, and large dataset?

What is a benefit of a diverse, balanced, and large dataset?
A . Training time
B . Data privacy
C . Model accuracy

Answer: C

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.”

Exit mobile version