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

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

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 neural network on a classification task?

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

Step 1: Understand that a neural network is a type of model used for making predictions.
Step 2: Know that in classification tasks, the goal is to categorize data into different classes or labels.
Step 3: Learn that to evaluate how well the neural network is performing, we need a metric.
Step 4: Recognize that 'accuracy' is a common metric used for this purpose.
Step 5: Understand that accuracy measures the proportion of correct predictions made by the model compared to the total predictions.

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