Can anyone explain this code line by line?

 function EVAL = Evaluate(ACTUAL,PREDICTED)
% This fucntion evaluates the performance of a classification model by 
% calculating the common performance measures: Accuracy, Sensitivity, 
% Specificity, Precision, Recall, F-Measure, G-mean.
% Input: ACTUAL = Column matrix with actual class labels of the training
%                 examples
%        PREDICTED = Column matrix with predicted class labels by the
%                    classification model
% Output: EVAL = Row matrix with all the performance measures
idx = (ACTUAL()==1);
p = length(ACTUAL(idx));
n = length(ACTUAL(~idx));
N = p+n;
tp = sum(ACTUAL(idx)==PREDICTED(idx));
tn = sum(ACTUAL(~idx)==PREDICTED(~idx));
fp = n-tn;
fn = p-tp;
tp_rate = tp/p;
tn_rate = tn/n;
accuracy = (tp+tn)/N;
sensitivity = tp_rate;
specificity = tn_rate;
precision = tp/(tp+fp);
recall = sensitivity;
f_measure = 2*((precision*recall)/(precision + recall));
gmean = sqrt(tp_rate*tn_rate);
EVAL = [accuracy sensitivity specificity precision recall f_measure gmean];

[Walter Roberson]

No, that would take several months since we have no idea what you already know. Ask specific questions about parts you do not understand.

[Ashika Shetty]

Okay. Can you explain how lbp feature extraction works?

[Jan]

This is again a very general question. This is a forum to solve Matlab problems. It is not clear, if your question concerns Matlab or the underlying mathematical method. What is the connection to the posted code?

[Ashika Shetty]

After the feature is extracted it classifies and the performance of classification is shown

Answer 1

[Image Analyst]

I think maybe the question has been changed because I don't see any LBP code in the current function (included as an attachment here).

Anyway, the code as posted now is very simple and really doesn't need too much explanation. Already about a third of the function is comments. Maybe just put in your own additional comments in front of each line -- shouldn't be too hard for you. Basically it just goes over the standard ROC Curve measurements, as explained on the Wikipedia page on ROC Curve.

For what it's worth, I'm including my LBP function here as an attachment.

[sassouki123]

Hello ,

I need your help on image processing.

I want to average 30 files.mat each containing 1000 frames.

I want to average Frame1 for the 30 files then frame 2 up to frame 1000 to get at the end a single image that contains 1000 frames

thank you

[Walter Roberson]

Awer, that is a different topic. Please open your own Question on that. When you do so, be sure to mention size() of your variables and how the frames are stored in the .mat file.