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

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Question: Which evaluation metric is commonly used to assess the performance of a Support Vector Machine?

Options:

Correct Answer: Accuracy

Solution:

Accuracy is a common evaluation metric used to assess the performance of classification models, including Support Vector Machines.

Which evaluation metric is commonly used to assess the performance of a Support Vector Machine?

Which evaluation metric is commonly used to assess the performance of a Support Vector Machine?

Step 1: Understand what a Support Vector Machine (SVM) is. It is a type of machine learning model used for classification tasks.
Step 2: Know that when we want to see how well a model like SVM is performing, we need to use evaluation metrics.
Step 3: Learn about different evaluation metrics. One common metric is 'accuracy'.
Step 4: Understand that accuracy measures how many predictions made by the model are correct compared to the total predictions.
Step 5: Conclude that accuracy is a widely used metric to assess the performance of Support Vector Machines.

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