Choose the best
a. the classification methods such as k-nearest-neighbors, classification tree, neural network, support vector machine, etc. are the supervised learning methods that try to discover optimal or sub-optimal classification boundaries.
b. the ultimate goal of these supervised learning methods such as k-nearest-neighbors, classification tree, neural network, support vector machine, etc. is to generate a model that will simulate some mathematic classification function to minimize the classification error.
c. both a. and b.
d. neither a. nor b.

Assume the existence of a bankaccount class. define a derived class, savingsaccount that contains two instance variables: the first a double, named interestrate, and the second an integer named interesttype. the value of the interesttype variable can be 1 for simple interest and 2 for compound interest. there is also a constructor that accepts two parameters: a double that is used to initialize the interestrate variable, and a string that you may assume will contain either "simple", or "compound", and which should be used to initialize the interesttype variable appropriately. there should also be a pair of functions getinterestrate and getinteresttype that return the values of the corresponding data members (as double and int respectively).