From the course: AWS Certified AI Practitioner (AIF-C01) Cert Prep

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Question breakdown, part 2

Question breakdown, part 2 - Amazon Web Services (AWS) Tutorial

From the course: AWS Certified AI Practitioner (AIF-C01) Cert Prep

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Question breakdown, part 2

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- In this question breakdown, we are going to discuss a scenario on spam filtering using a classification model. And so let's go ahead and take a look at the question content. A company is building a machine learning model to predict whether an email is spam. They want to evaluate the performance of the model and decide which metric to use. Which of the following metrics is the most appropriate for evaluating the performance of the classification model? So we're clearly going to have to be aware of and familiar with different performance evaluation metrics. And we have four of those metrics listed here. F1 Score, AUC-ROC, RSE, and R-Squared. And so let's go ahead and take a look at these and see if we can figure out which one is the most appropriate. We'll start with the F1 Score, answer A. And this is going to measure a classification model's performance by balancing precision and recall. It's often used when there's an imbalance in class distribution, such as many more non-spam…

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