Which evaluation metric is often used to assess the performance of neural networ

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Question: Which evaluation metric is often used to assess the performance of neural networks in classification tasks?

Options:

Correct Answer: Accuracy

Solution:

Accuracy is a common evaluation metric for classification tasks, measuring the proportion of correct predictions made by the neural network.

Which evaluation metric is often used to assess the performance of neural networks in classification tasks?

Which evaluation metric is often used to assess the performance of neural networks in classification tasks?

Step 1: Understand that neural networks are used for classification tasks, which means they categorize data into different classes or labels.
Step 2: Learn that an evaluation metric is a way to measure how well the neural network is performing its classification task.
Step 3: Recognize that accuracy is a common evaluation metric used in classification tasks.
Step 4: Know that accuracy is calculated by taking the number of correct predictions made by the neural network and dividing it by the total number of predictions.
Step 5: Conclude that accuracy gives a percentage that shows how many predictions were correct out of all predictions made.

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