What metric is commonly used to evaluate the performance of a classification mod

What metric is commonly used to evaluate the performance of a classification model?

What metric is commonly used to evaluate the performance of a classification model?

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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