题目
IS 4487-006 Fall 2025 Week 12 - Comprehension Quiz
多项选择题
Which of the following are appropriate ways to evaluate the performance of a Support Vector Machine (SVM) used for classification? (Select all that apply)
选项
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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标准答案
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思路分析
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登录即可查看完整答案
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For the given confusion matrix below from a diabetes diagnosis model: Type 1 error is [Fill in the blank] ; Type 2 error is [Fill in the blank] ; Accuracy is [Fill in the blank] ; Precision is [Fill in the blank] ; Recall is [Fill in the blank] ; and F1 score is [Fill in the blank] . Confusion Matrix:[[18 6] [ 4 12]]
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