题目
题目

25S-STATS-102B-LEC-3 S25 Midterm Exam- Requires Respondus LockDown Browser

单项选择题

Please select the incorrect statements about k-fold cross-validation and Leave-One-Out Cross-Validation (LOOCV):

选项
A.Increasing k (closer to the number of observations) typically reduces the variance of the estimate but increases the bias.
B.LOOCV can be computationally expensive for large datasets since it requires fitting the model n times.
C.In k-fold cross-validation, using a smaller k generally leads to a lower computational cost.
D.LOOCV is a special case of k-fold cross-validation where k equals the number of observations.
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标准答案
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思路分析
When considering statements about k-fold cross-validation and LOOCV, it helps to recall core properties of how these methods behave with respect to bias, variance, and computational cost. Option 1: 'Increasing k (closer to the number of observations) typically reduces the variance of the estimate but increases the bias.' This is incorrect. In......Login to view full explanation

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