The table below contains counts and ratios for a set of data instances to be used for supervised Bayesian learning. The output attribute is sex with possible values male and female. Consider an individual who has said no to the life insurance promotion, yes to the magazine promotion, yes to the watch promotion and has credit card insurance. Use the values in the table together with Bayes classifier to determine which of a,b,c or d represents the probability that this individual is male. a. (4/6)(2/6)(2/6)(2/6)(6/10)/P(E) b. (4/6)(2/6)(3/4)(2/6)(3/4)/P(E) c. (4/6)(2/6)(4/6)(2/6)(6/10)/P(E) d. (2/6)(4/6)(4/6)(2/6)(4/10)/P(E)