What is a common evaluation metric used to assess the performance of a deployed

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Question: What is a common evaluation metric used to assess the performance of a deployed classification model?

Options:

Correct Answer: Accuracy

Solution:

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

What is a common evaluation metric used to assess the performance of a deployed classification model?

What is a common evaluation metric 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 the model is performing.
Step 3: Identify accuracy as a common metric. Accuracy tells us how many predictions made by the model are correct.
Step 4: Calculate accuracy. It is done by dividing the number of correct predictions by the total number of predictions.
Step 5: Interpret the accuracy value. A higher accuracy means the model is performing better.

Classification Model Evaluation – Accuracy is a metric that evaluates how many predictions made by the model are correct compared to the total predictions.