How can I calculate the classification accuracy?

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Mohamed Elwakdy 2015-2-7

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回答： Daniel Groves 2017-8-9

Dear Sir,

I used the Adaptive Neuro-Fuzzy inference system (ANFIS) for making trajectories' classification of two different types of ships (tanker ship and fishing boat). I could get the Average testing error, but I can calculate the classification accuracy. I would like you to advise me "How can calculate the classification accuracy??"

I look forward to your response soon

Thank you very much

Mohamed Elwakdy

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Answer 1

Image Analyst 2015-2-7

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You need to compute the "ROC curve": http://en.wikipedia.org/wiki/Receiver_operating_characteristic

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Mohamed Elwakdy 2015-3-25

Dear Sir,

Thank you very much for your time and interest...

Nothing wrong with just getting the average of the testing errors. I am looking publish a conference/Journal paper in the near future, and I have to compare my results with other results to ensure the acceptance. Some Authors, who published papers before, used the ANFIS for classification and they could obtain ERROR AND ACCURACY. I don't know exactly how they calculated the classification accuracy as in this paper:

https://drive.google.com/file/d/0B254WGMh1VZTSklCaTY1U1FyY2M/view?usp=sharing

As I am looking to compare my results with others that they used the support vector Machine (SVM) classifier, and they calculated the classification accuracy by divided the number of test trajectories correctly classified to the total number of test trajectories. I know how I can calculate the classification accuracy by using the SVM, but I don't know how I can calculated the classification accuracy by using the ANFIS... For that, I asked you the question above...

I look forward to your response soon....

Thank you very much for everything

Image Analyst 2015-3-25

Sorry - I have never used ANFIS.

Greg Heath 2015-3-26

编辑：Greg Heath 2015-3-26

Artificial Neural Fuzzy Inference System

https://www.google.com/?gws_rd=ssl#q=anfis+matlab

Hope this helps.

Greg

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Answer 2

Jinghua Li 2017-1-3

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I encountered the same problem as you,have you solved the problem? Looking forward your help!

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Answer 3

Daniel Groves 2017-8-9

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在 MATLAB Online 中打开

You could look at using the 'classperf' function in matlab. It will identify the correct classification for two groups.

see: https://uk.mathworks.com/help/bioinfo/ref/classperf.html

You can then work the percentages out yourself

An example from a logistic regression model of class performance is:

    lin  = stats(1,1) + stats(2,1)*EQRAT + stats(3,1)*LNSIZE + stats(4,1)*HPI + stats(5,1)*LEVERAGE + stats(6,1)*SEC + stats(7,1)*LLR + stats(8,1)*CASHDUE + stats(9,1)*GOODWILL + stats(10,1)*LIQUIDITY;
    phat = (exp(lin)./(1 + exp(lin))); % Probaility that bank failed where FAIL = 1 
    phat(phat<0.5) = 0;  % If probability less than 0.5 assume does not fail ie: FAIL = 0
    phat(phat>=0.5) = 1; % If probability more than 0.5 assume does fail ie: FAIL = 1    
    CP = classperf(FAIL, phat);
    CPtbl = CP.DiagnosticTable; % Percentage correctly predicted table

Hope this helps someone!