1 1 vote 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?$10$$512$$900$$1000$ Machine Learning gateda-2026 machine-learning cross-validation one-mark + – gatecse 677 views answer comment Share Follow Print 0 reply Please log in or register to add a comment.
1 1 vote Leave-One-Out Cross-Validation (LOOCV) means the number of splits = the number of training samples.Total samples = 1000.Samples used for Testing = 100.Training Set Size = 1000 − 100 = 900. Hence 900 validation Splits . soudipta_dutta answered Mar 2 soudipta_dutta comment Share Follow 0 reply Please log in or register to add a comment.
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: \[ {(C)} \] Aditya Jyotishi answered Feb 23 • moved Feb 26 by Misbah Ghaya Aditya Jyotishi comment Share Follow 0 reply Please log in or register to add a comment.