Questions
Questions

IS 4487-006 Fall 2025 Week 12 - Comprehension Quiz

Multiple choice

Which of the following are appropriate ways to evaluate the performance of a Support Vector Machine (SVM) used for classification? (Select all that apply)

Options
A.R-squared value
B.Precision and recall
C.F1-score
D.Accuracy
E.Confusion matrix
F.Mean squared error (MSE)
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Step-by-Step Analysis
The question asks which metrics are appropriate for evaluating a classification-based SVM, and it specifies a multi-select format, so we'll examine each option in turn. Option: R-squared value R-squared is a metric from regression analysis that measures the proportion of variance explained by the model. Since SVM here is used for classification, R-squared is not a meaningful measure of performance for discrete class labels, so this option is unsuitabl......Login to view full explanation

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