Which evaluation metric is most appropriate for assessing the performance of an

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Question: Which evaluation metric is most appropriate for assessing the performance of an SVM model in a binary classification task?

Options:

Correct Answer: Accuracy

Solution:

Accuracy is a common evaluation metric for binary classification tasks, measuring the proportion of correctly classified instances.

Which evaluation metric is most appropriate for assessing the performance of an SVM model in a binary classification task?

Which evaluation metric is most appropriate for assessing the performance of an SVM model in a binary classification task?

Step 1: Understand that an SVM model is used for binary classification, which means it classifies data into two categories.
Step 2: Learn about evaluation metrics, which are tools to measure how well the model is performing.
Step 3: Recognize that accuracy is one of the simplest evaluation metrics. It tells us how many predictions the model got right out of all predictions made.
Step 4: Calculate accuracy by using the formula: (Number of Correct Predictions) / (Total Number of Predictions).
Step 5: Conclude that accuracy is a common and appropriate metric for assessing the performance of an SVM model in binary classification tasks.

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