[Python] Support Vector Machine. Precision and/or accuracy?

I am trying to figure whether the code I use calculates precision or accuracy or both. Since I only have a little background in statistics (in another language) I don't really understand the Wikipedia article covering that topic.

Concretely I use following Python code:

from sklearn import svm, cross_validation
clf = svm.SVC(kernel=kernel, C=C)
scores = cross_validation.cross_val_score(clf, FeatureMatrix, np.squeeze(LabelMatrix), cv=d_inds)


Documentation for the scikit-learn functions can be found here:

• sklearn.svm.SVC
• sklearn.cross_validation.cross_val_score

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