Computes estimated pessimistic error rate for given total number of instances
and error using normal approximation to binomial distribution
(and continuity correction).
Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
Insert the consequence and the interestingness measures of a rule
and builds up the precedence information that allows a ranking according to the interestingness measures