How do I fix the result of the code?.

images = readFiles();

%Changing directory to code folder to run all fns
% cd 'C:\Users\Deval\Desktop\Face Recognition\Code\'

error_plot = zeros(1,30);

%Selecting 1 to 30 eigenvectors for recognizing the face to plot and find optimal subspace dimensionality
%Optimal subspace dimensionality is a subspace beyond which your face recognition improve very minimally(negligible) or 
%we can say that the minimum no of eigenvectors that represents your eigenfaces basis and detects image accurately.
%Here loop runs 1 to 30 selecting no of eigenvectors to plot and find optimal subspace dimensionality. 

for no_of_eigenvectors = 1:1:30

  %Face Recognition fn applied on training set of images 
    [u,A,mean_face] = faceRecognition(images,no_of_eigenvectors);
  
  %Flattens the test image matrix into vector
    test_image = flatten_image('image_0021.jpg');
  %Subtracting average face from test image
    test_minus_mean = test_image - mean_face;
  
  %Calculating weights of Training Images
  weights_images =  weights(A,u,1);
    %Calculating weights of Test Images
  weights_test_image = weights(test_minus_mean,u,0);
  
  %Finding no of images in training dataset
    iter = size(weights_images,2);
  
  %Array to store difference in weights between test image and training images to find best match
    err = [];

      for i = 1:iter
          err(i) = norm(weights_test_image - weights_images(:,i));
      end
    
    %Storing min error which is our best match
      [error,image_no] = min(err);
      %Displaying error values as we increase no of eigenvectors
      j= no_of_eigenvectors;
    fprintf('No of eigen components %d --> Error %d --> Image No %d\n',error,image_no);
      error_plot(j) = error;
    %Display image is function to display the image it recognized closest to the person after calculating error
    %display_image(A(:,image_no));
  end    

%Plot of error analysis to check after how many eigenvectors the results are more or less the same
%See the plot and find no of eigenvectors for which error decrease very minimally and recognizes face accurately

x = 1:1:30;
figure;
plot(x,error_plot)
title('Error Analysis')
xlabel('No of eigenvectors')
ylabel('Error')

I am trying to create a graph that shows an error analysis for the number of eigenvectors but my result comes out like this: No of eigen components 0 --> Error 21 --> Image No No of eigen components 0 --> Error 21 --> Image No No of eigen components 0 --> Error 21 --> Image No No of eigen components 0 --> Error 21 --> Image No No of eigen components 0 --> Error 21 --> Image No No of eigen components 0 --> Error 21 --> Image No No of eigen components 0 --> Error 21 --> Image No No of eigen components 0 --> Error 21 --> Image No No of eigen components 0 --> Error 21 --> Image No No of eigen components 0 --> Error 21 --> Image No No of eigen components 0 --> Error 21 --> Image No No of eigen components 0 --> Error 21 --> Image No No of eigen components 0 --> Error 21 --> Image No No of eigen components 0 --> Error 21 --> Image No No of eigen components 0 --> Error 21 --> Image No No of eigen components 0 --> Error 21 --> Image No No of eigen components 0 --> Error 21 --> Image No No of eigen components 0 --> Error 21 --> Image No No of eigen components 0 --> Error 21 --> Image No No of eigen components 0 --> Error 21 --> Image No No of eigen components 0 --> Error 21 --> Image No No of eigen components 0 --> Error 21 --> Image No No of eigen components 0 --> Error 21 --> Image No No of eigen components 0 --> Error 21 --> Image No No of eigen components 0 --> Error 21 --> Image No No of eigen components 0 --> Error 21 --> Image No No of eigen components 0 --> Error 21 --> Image No No of eigen components 0 --> Error 21 --> Image No No of eigen components 0 --> Error 21 --> Image No No of eigen components 0 --> Error 21 --> Image No

[JohnGalt]

the line:

fprintf('No of eigen components %d --> Error %d --> Image No %d\n',error,image_no);

has 3 integers (%d) but only 2 arguments at the end... are you missing a j? that is, should the line be:

fprintf('No of eigen components %d --> Error %d --> Image No %d\n',j,error,image_no);