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Which evaluation metric is most appropriate for assessing the performance of an
Which evaluation metric is most appropriate for assessing the performance of an SVM model?
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Which evaluation metric is most appropriate for assessing the performance of an SVM model?
Mean Squared Error
Accuracy
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Accuracy is a common evaluation metric for classification tasks, including those performed by SVM models.
Questions & Step-by-step Solutions
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Q: Which evaluation metric is most appropriate for assessing the performance of an SVM model?
Solution:
Accuracy is a common evaluation metric for classification tasks, including those performed by SVM models.
Steps: 5
Show Steps
Step 1: Understand that SVM (Support Vector Machine) is a type of model used for classification tasks.
Step 2: Know that classification tasks involve predicting categories or classes for given data.
Step 3: Learn about evaluation metrics, which are tools used to measure how well a model performs.
Step 4: Recognize that accuracy is a common metric used to evaluate classification models.
Step 5: Understand that accuracy measures the proportion of correct predictions made by the model out of all predictions.
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