Register

Go Classes | DA Course | Machine Learning

122 views
0 0 votes
Under which of the following conditions is $\boldsymbol{k}$-fold cross-validation the same as leave-one-out cross-validation ?

A. The training set and test set have the same number of examples
B. The training set and tuning set have the same number of examples
C. $k=1$
D. $k=n$, where $n$ is the total number of examples
 

Please log in or register to answer this question.

Voting & Accepting an answer helps improve the community
Answer:
← Previous · Go Classes | DA Cour...Next → · Go Classes | DA Cour...
← Previous in category · Go Classes | DA Cour...Next in category → · Go Classes | DA Cour...
Position:
Show:

Related questions

0 0 votes
0 0 answers
282
282 views
GO Classes asked Mar 21, 2025
282 views
Go Classes | DA Course | Machine Learning
Consider a scenario where we use leave-one-out cross-validation (LOOCV) with Support Vector Machines (SVM) for binary classification. Given a dataset $\mathcal{D}=$ $\lef...
1 1 vote
2 2 answers
539
539 views
GO Classes asked Mar 21, 2025
539 views
Go Classes | DA Course | Machine Learning
Given the 2D dataset, which of the following is true regarding the performance of 1-nearest neighbor (1-NN) and Support Vector Machines (SVM) in terms of leave-one-out cr...
0 0 votes
0 0 answers
165
165 views
GO Classes asked Mar 21, 2025
165 views
Go Classes | DA Course | Machine Learning
Given the 2D dataset, which of the following is true regarding the performance of 1-nearest neighbor (1-NN) and Support Vector Machines (SVM) in terms of leave-one-out cr...
0 0 votes
2 2 answers
229
229 views
GO Classes asked Mar 21, 2025
229 views
Go Classes | DA Course | Machine Learning
$\text { Suppose you have this data set with one real-valued input and one real-valued output. }$I.What is the mean squared leave one out cross validation error of using ...