CODEWITHSUNDEEP
matlablibsvm
anon
anon

Reputation: 342

Libsvm with multi labels

I gave a matrix with labels as 1,2,3 to libsvm and got 70% accuracy... I was wondering if it is correct or not ?

Does anyone know if libsvm handles multi class by itself and if it does is it one v/s all ? If not what exactly is this 70% accuracy ?

Upvotes: 1

Views: 797

Answers (1)

Ansari
Ansari

Reputation: 8218

The official documentation for LibSVM states

LIBSVM implements the “one-against-one” approach (Knerr et al., 1990) for multi- class classification. If k is the number of classes, then k(k − 1)/2 classifiers are constructed and each one trains data from two classes.

The document goes on to say that classification is essentially the outcome of a voting procedure. Each of the classifiers votes on each data point and it is assigned to whichever class has the most votes for it. For accuracy, I presume these labels would be matched against the known class labels and the percentage reported is the percentage of label agreement.

Upvotes: 2

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