How can I calculate the classification accuracy?
5 Ansichten (letzte 30 Tage)
Ältere Kommentare anzeigen
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
0 Kommentare
Antworten (3)
Image Analyst
am 7 Feb. 2015
7 Kommentare
Greg Heath
am 26 Mär. 2015
Bearbeitet: Greg Heath
am 26 Mär. 2015
Artificial Neural Fuzzy Inference System
https://www.google.com/?gws_rd=ssl#q=anfis+matlab
Hope this helps.
Greg
Jinghua Li
am 3 Jan. 2017
I encountered the same problem as you,have you solved the problem? Looking forward your help!
0 Kommentare
Daniel Groves
am 9 Aug. 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!
0 Kommentare
Siehe auch
Kategorien
Mehr zu Fuzzy Logic Toolbox finden Sie in Help Center und File Exchange
Produkte
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!