1. You are building a machine learning model using an original dataset of 10,000 observations.

The dataset includes 10 independent variables and 1 dependent variable.

The independent variables are a mixture of categorical and numeric data, while the dependent variable is a binary value.

If you used each of the following validation techniques, how many iterations would occur in the model building? Assume that k = 5 and number = 3 for cases where those values are relevant.

a. Holdout method

b. k-fold cross-validation

c. LOOCV

d. LGOCV

e. Bootstrap method