Which metric is commonly used to evaluate the performance of a deployed classifi

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

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

Step 1: Understand what a classification model is. It is a type of model that predicts categories or classes for given data.
Step 2: Learn about performance metrics. These are ways to measure how well the model is doing.
Step 3: Identify common metrics for classification models. 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 a widely used metric to evaluate the performance of a deployed classification model.

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