'FitPosterior' option for fitcecoc
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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
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Carl
2017년 8월 29일
편집: Carl
2017년 8월 29일
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.
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Han zid
2018년 8월 19일
Hi Yoshihiro, I get to same probelem as yours , can you please help me with the option you used to solve this problem.
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