Which evaluation metric is commonly used for image classification tasks?

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Question: Which evaluation metric is commonly used for image classification tasks?

Options:

Correct Answer: Accuracy

Solution:

Accuracy is a commonly used evaluation metric for image classification tasks, measuring the proportion of correctly classified instances.

Which evaluation metric is commonly used for image classification tasks?

Which evaluation metric is commonly used for image classification tasks?

Step 1: Understand what image classification is. It involves categorizing images into different classes or labels.
Step 2: Learn about evaluation metrics. These are ways to measure how well a model performs.
Step 3: Identify the most common evaluation metric for image classification. This is accuracy.
Step 4: Understand what accuracy means. It measures the number of correct predictions made by the model compared to the total number of predictions.
Step 5: Remember that accuracy is expressed as a percentage. For example, if a model correctly classifies 80 out of 100 images, its accuracy is 80%.

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