In weka workbench (workbench option for 3.8 or explorer option for older versions), load diabetes. arffdataset to answer the following questions.
(a) how many instances and attributes (including the class attribute) does this dataset have? [1 mark]
(b) how many classes are present in the dataset and how many instances are there for each class ? [2 marks]
(c) use histograms (with default settings) to show which age group has the highest number of samples? [2 marks]

A-12.3 an american spy is deep undercover in the hostile country of phonemia. in order not to waste scarce resources, any time he wants to send a message back home, he removes all the punctuation from his message and converts all the letters to uppercase. so, for example, to send the message, “abort the plan! meet at the dark cabin.” he would transmit given such a string, s, of n uppercase letters, describe an efficient way of breaking it into a sequence of valid english words. you may assume that you have a function, valid(s), which can take a character string, s, and return true if and only if s is a valid english word. what is the running time of your algorithm, assuming each call to the function, valid, runs in o(1) time?