Which metric is commonly used to evaluate the performance of classification mode

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Question: Which metric is commonly used to evaluate the performance of classification models?

Options:

Correct Answer: Accuracy

Solution:

Accuracy is a common metric used to evaluate the performance of classification models, indicating the proportion of correct predictions.

Which metric is commonly used to evaluate the performance of classification models?

Which metric is commonly used to evaluate the performance of classification models?

Step 1: Understand what a classification model is. It is a type of model that predicts categories or classes.
Step 2: Learn about performance metrics. These are ways to measure how well the model is doing.
Step 3: Identify accuracy as a common metric. Accuracy tells us how many predictions the model got right.
Step 4: Know that accuracy is calculated by dividing the number of correct predictions by the total number of predictions.
Step 5: Remember that a higher accuracy means the model is performing better.

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