Which metric is commonly used to evaluate the performance of a neural network on a classification task?

Practice Questions

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Q1
Which metric is commonly used to evaluate the performance of a neural network on a classification task?
  1. Mean Squared Error
  2. Accuracy
  3. R-squared
  4. Log Loss

Questions & Step-by-step Solutions

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Q
Q: Which metric is commonly used to evaluate the performance of a neural network on a classification task?
Solution: Accuracy is a common metric for evaluating classification models, indicating the proportion of correct predictions.
Steps: 0

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