Which evaluation metric is commonly used to assess the performance of a neural n

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Question: Which evaluation metric is commonly used to assess the performance of a neural network in classification tasks?

Options:

Correct Answer: Accuracy

Solution:

Accuracy is a widely used evaluation metric for classification tasks, indicating the proportion of correct predictions made by the model.

Which evaluation metric is commonly used to assess the performance of a neural network in classification tasks?

Which evaluation metric is commonly used to assess the performance of a neural network in classification tasks?

Step 1: Understand what a neural network is. It is a type of computer program that learns from data to make predictions.
Step 2: Know that classification tasks involve sorting data into categories or classes.
Step 3: Learn about evaluation metrics, which are ways to measure how well the neural network is performing.
Step 4: Identify that accuracy is one of the most common evaluation metrics used in classification tasks.
Step 5: Understand that accuracy is calculated by taking the number of correct predictions and dividing it by the total number of predictions made.
Step 6: Realize that a higher accuracy means the model is performing better at classifying the data correctly.

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