Which evaluation metric is commonly used for classification tasks in neural netw

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Question: Which evaluation metric is commonly used for classification tasks in neural networks?

Options:

Correct Answer: Accuracy

Solution:

Accuracy is a common metric used to evaluate the performance of classification models, including neural networks.

Which evaluation metric is commonly used for classification tasks in neural networks?

Which evaluation metric is commonly used for classification tasks in neural networks?

Step 1: Understand what classification tasks are. These are tasks where the goal is to categorize data into different classes or labels.
Step 2: Learn about evaluation metrics. These are ways to measure how well a model is performing.
Step 3: Identify the common evaluation metrics for classification. One of the most common metrics is accuracy.
Step 4: Define accuracy. Accuracy is the percentage of correct predictions made by the model out of all predictions.
Step 5: Conclude that accuracy is widely used to evaluate the performance of classification models, including neural networks.

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