'FitPosterior' option for fitcecoc
3 Ansichten (letzte 30 Tage)
Ältere Kommentare anzeigen
I am evaluating SVM ('fitcecoc' function) by applying my data 'pm_pareto_12456'. When I set 'FitPosterior' option 'true', I encountered unexpected result described as follows: I execute prediction by using original data. when 'FitPosterior' option is false, the result is same as original classification 'class_array_12456', however, when 'FitPosterior' option is true, some elements of 'predicted_class_12456_true' are different from 'class_array_12456'. I wonder if 'FitPosterior' option could affect the prediction results?
SVM_data.mat contains variables for my evaluation and SVM_Test.m is evaluation script. P.S. my matlab version is 2017a
0 Kommentare
Antworten (1)
Carl
am 29 Aug. 2017
Bearbeitet: Carl
am 29 Aug. 2017
Hi Yoshihiro. See the documentation here for the 'FitPosterior' option in fitcecoc:
It mentions that when that option is set to true, it translates classification scores to posterior probabilities. The model will inherently use different values for its fitting and prediction. As you observed, this may end up with different results.
2 Kommentare
Han zid
am 19 Aug. 2018
Hi Yoshihiro, I get to same probelem as yours , can you please help me with the option you used to solve this problem.
Siehe auch
Produkte
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!