private boolean isModelUseful(ContingencyMatrix cm){
  for (int row=0; row < cm.getNumberOfPredictions(); row++) {
    for (int col=0; col < cm.getNumberOfClasses(); col++) {
      if (Math.abs(cm.getLift(row,col) - 1) > MIN_ADVANTAGE) {
        return true;
      }
    }
  }
  return false;
}

private boolean isModelUseful ( ContingencyMatrix cm ) { for ( int row = 0 ; row < cm . getNumberOfPredictions ( ) ; row ++ ) { for ( int col = 0 ; col < cm . getNumberOfClasses ( ) ; col ++ ) { if ( Math . abs ( cm . getLift ( row , col ) - 1 ) > MIN_ADVANTAGE ) { return true ; } } } return false ; }
helper method to decide whether a model improves the training error enough to be considered .
