Prisc Insert FIO X C FO F4 FS 5 P + x 2 R Question 5 (20pts) ations Explain the functionality of the following validation techniques: a) K-fold cross validation for k=5 and k=10 (5pts) b) LOOCV (5pts)PriSo F9 FIO FT X C FS 5 c) 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 above validation techniques, how many iterations would occur in the model building? (10pts)