How do the multiclass SVM model function 'fitcecoc' work?

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tinkiewinkie
tinkiewinkie 2020-3-5
评论： Dinesh Yadav 2020-3-9
Mdl = fitcecoc(X,Y)
Suppose I have 4 classes as below:
As seen from the table below, suppose for learner 1, the svm predicted it as Cat. For learner 2 it was predicted as Fish. For learner 3 it is predicted as Cat. For learner 4 it is predicted as Fish. For learner 5 it is predicted as Rabbit. For learner 6 it is predicted as Rabbit.
How do the ECOC svm determine if it is cat, fish or rabbit in this case?

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Dinesh Yadav
Dinesh Yadav 2020-3-9
Kindly go through the documentation of fitcecoc and go through the sub sections Coding Design and Error Correcting Output Codes Model part to understand how it works.
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tinkiewinkie
tinkiewinkie 2020-3-9
From what I understand, confusion matrix only gives me the final result of the classifcation (post-classification) how many of which are classified correctly and how many are classified wrongly. From your explanation, the probability you mentioned is a decision maker that is still within the classification process itself. May I know how I should compute the probability in this case?
Dinesh Yadav
Dinesh Yadav 2020-3-9
Sorry my bad it wont be probability but classification score. Also i have taken above data point as test data point not training. The score would be computed as in doc under Error Correcting Output Codes Model.

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