Explanation:
The correct strategy is to increase the number of training instances, as this scenario is indicative of underfitting. The other options, such as dropout, L1, and L2 regularization, are techniques aimed at mitigating overfitting, not underfitting. For more insights, refer to Machine Learning Mastery.
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Your deep learning model for a classification task is showing low precision and recall scores. Which of the following strategies could potentially enhance these metrics?
A
Implement dropout
B
Apply L1 regularization
C
Increase the number of training instances
D
Utilize L2 regularization