Which evaluation metric is commonly used for binary classification?

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Question: Which evaluation metric is commonly used for binary classification?

Options:

Correct Answer: Accuracy

Solution:

Accuracy is a common evaluation metric for binary classification, measuring the proportion of correct predictions.

Which evaluation metric is commonly used for binary classification?

Which evaluation metric is commonly used for binary classification?

Step 1: Understand what binary classification is. It means classifying data into two categories, like 'yes' or 'no'.
Step 2: Learn about evaluation metrics. These are ways to measure how well a model is performing.
Step 3: Identify the common evaluation metric for binary classification. One of the most common metrics is accuracy.
Step 4: Know what accuracy means. It measures the proportion of correct predictions made by the model.
Step 5: Calculate accuracy by using the formula: (Number of correct predictions) / (Total number of predictions).

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