Consider a training set that contains $100$ positive examples and $400$ negative examples. For each of the following candidate rules,

RI: A $->+($covers$,4$ positive and $1$ negative examples$),$ R$2$: B $->+($covers $30$ positive and $10$ negative examples$),$ R$3$: C $->+($covers $100$ positive and $90$ negative examples$),$

determine which is the best and worst candidate rule according to:

a$.$ Rule accuracy.

b$.$ FOIL's information$$gain$.$