Which evaluation metric is commonly used to assess the performance of a deployed

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

Which evaluation metric is commonly used to assess 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 evaluation metrics. These are tools used to measure how well a model is performing.
Step 3: Identify the most common evaluation metric for classification models, which is accuracy.
Step 4: Understand what accuracy means. It is the percentage of correct predictions made by the model compared to the total predictions.
Step 5: Calculate accuracy by using the formula: (Number of Correct Predictions) / (Total Number of Predictions) * 100.

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