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Consider that you are training a classifier for a $10$ -class classification problem. Each input is represented as a $512$ -dimensional vector. There are $1000$ samples, out of which first $100$ will be used for testing. Let Leave-One-Out-CrossValidation (LOOCV) be used for selection of the classifier model before testing.

Which of the following options is the correct number of validation splits that will be generated?

  1. $10$
  2. $512$
  3. $900$
  4. $1000$

2 Answers

1 1 vote

 Leave-One-Out Cross-Validation (LOOCV) means  

the number of splits  =  the number of training samples.

Total samples = .

Samples used for Testing = .

Training Set Size =

Hence 900 validation Splits .
 

 

 

0 0 votes
Total samples = 1000

Out of these, 100 samples are reserved for testing.

\[
\text{Training samples} = 1000 - 100 = 900
\]

Leave-One-Out Cross-Validation (LOOCV) is a special case of \(n\)-fold cross-validation where \(n\) denotes the number of training samples.

In LOOCV, each split leaves one training sample for validation and uses the remaining \(n-1\) samples for training.

Hence,

\[
\text{Number of validation splits} = n = 900
\]

Therefore, the correct answer is:

\[
\boxed{900}
\]

Correct option:
\[
{(C)}
\]
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