How can I calculate the classification accuracy?
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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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Réponses (3)
Image Analyst
le 7 Fév 2015
7 commentaires
Greg Heath
le 26 Mar 2015
Modifié(e) : Greg Heath
le 26 Mar 2015
Artificial Neural Fuzzy Inference System
https://www.google.com/?gws_rd=ssl#q=anfis+matlab
Hope this helps.
Greg
Jinghua Li
le 3 Jan 2017
I encountered the same problem as you,have you solved the problem? Looking forward your help!
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Daniel Groves
le 9 Août 2017
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!
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