Continuing on the biopsy dataset.

Questions

• Create a vector train with all the numbers from 1 to 400
• Create a subset of biopsy with only the response and the rows with the index not in train and store it in test.Y
• Create a subset of biopsy with only the predictors and the rows with the index not in train and store it in test.X
• Create a Quadratic Discriminant model to predict class with the attributes V1 through V9, use the train vector for the subset parameter, and store it in qda.fit
• Store the results of the predict method on the test set in qda.pred. Use the qda.fit model you created previously Extract the class element from qda.pred (which is a list). Store it in qda.class.
• Create a table that compares the predicted results with the actual diagnosis and store it in qda.table
• Calculate the accuracy of the model and store in qda.acc

Assume that:

• The MASS library has been loaded
• The biopsy dataset has been loaded and attached
• The rows with NA values have been dropped
• The ID column has been dropped