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Related Questions
- How does the choice of evaluation metric impact the selection of hyperparameters in deep learning models?
- Can you explain how using the F1 score versus accuracy can affect a model's performance in multi-class classification tasks?
- How does the evaluation metric influence the weighting of different classes in the dataset during training?
- What are some common evaluation metrics used for image classification tasks and how do they differ?
- How can using mean squared error versus cross-entropy loss impact a model's performance in regression tasks?
- What is the relationship between the choice of evaluation metric and the choice of optimizers in deep learning?
- Can you describe how using precision, recall, and F1 score can be used to optimize a model's performance for imbalanced datasets?
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