You are an expert in writing code in many different languages. Your goal is to perform code completion for the following code, keeping in mind the rest of the code and the file meta data.
    Metadata details:
    filename: vl_det.m
    path of file: ./repos/panorama/lib/vlfeat-0.9.20/toolbox/plotop
    
    the code of the file until where you have to start completion: function [missRate, falseAlarm] = vl_det(labels, scores, varargin)

    
function [missRate, falseAlarm] = vl_det(labels, scores, varargin)
% VL_DET  Compute DET curve
%  [MISSRATE, FALSEALRAM] = VL_DET(LABELS, SCORES) computes the
%  Detection Error Trade-off (DET) curve for the given set LABELS and
%  SCORES. The function is a simple wrapper to VL_ROC(LABELS,
%  SCORES). In fact, MISSRATE is simply the false positive rate and
%  FALSEARALM the false negative rate returned by VL_ROC().
%
%  VL_DET(...) without output arguments plots the curves in the
%  current axis. Note that the DET curves use logarithmic axis.
%
%  VL_DET(..., OPT, ARG, ...) accepts the same options as VL_ROC().
%
%  REFERENCES:
%  [1] A. Martin, G. Doddington, T. Kamm, M. Ordowski, and
%  M. Przybocki. The DET curve in assessment of detection task
%  performance. In Proc. Conf. on Speech Communication and Technology,
%  1997.

[tp,tn] = vl_roc(labels, scores, varargin{:}) ;
missRate = 1 - tp ;
falseAlarm = 1 - tn ;

if nargout == 0
  cla ;
  loglog(falseAlarm,missRate,'linewidth',2) ;
  grid on ;
  axis square ;
  xlabel('false alaram (false positive) rate') ;
  ylabel('miss (false negative) rate') ;
  title('DET') ;
end