Consider a dataset of Personal Loan Acceptance (1500 records) Apply a cross validation to build a SVM model and to make a prediction (a) Show the function for SVM hyperplane from 1000 training records. Specific your setting in building a SVM model. (b) What are the support vectors? (c) What are training and testing accuracy, respectively? Consider a dataset of Personal Loan Acceptance (1500 records) Apply a cross validation to build a SVM model and to make a prediction (a) Show the function for SVM hyperplane from 1000 training records. Specific your setting in building a SVM model. (b) What are the support vectors? (c) What are training and testing accuracy, respectively