Which metric is commonly used to evaluate the performance of a classification ne

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Question: Which metric is commonly used to evaluate the performance of a classification neural network?

Options:

Correct Answer: Accuracy

Solution:

Accuracy is a common metric for evaluating classification models, indicating the proportion of correct predictions.

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

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

Step 1: Understand that a classification neural network is a type of model that predicts categories or classes.
Step 2: Learn that when we want to see how well the model is performing, we need a way to measure its success.
Step 3: Know that 'accuracy' is a common metric used for this purpose.
Step 4: Realize that accuracy tells us the percentage of correct predictions made by the model out of all predictions.
Step 5: For example, if the model makes 100 predictions and 90 of them are correct, the accuracy is 90%.

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