2011/11/7 SK Sn <[email protected]>: > Hi all, I am looking into generating accuracy metrics of a classification, > in the context of text classification. > > In API, there is no accuracy directly, I tried two things: > > 1: accuracy = np.mean(pred.ravel() == y_test.ravel())
This is the usual notion of accuracy. It coincides with our definition of recall in the multi-class case, but not in the binary case: In [1]: y_test = array([0,0,0,1,1,1,0,0,1]) In [2]: pred = array([1,0,0,0,1,1,0,0,1]) In [3]: recall_score(y_test, pred) Out[3]: 0.75 In [4]: np.mean(pred == y_test) Out[4]: 0.77777777777777779 -- Lars Buitinck Scientific programmer, ILPS University of Amsterdam ------------------------------------------------------------------------------ RSA(R) Conference 2012 Save $700 by Nov 18 Register now http://p.sf.net/sfu/rsa-sfdev2dev1 _______________________________________________ Scikit-learn-general mailing list [email protected] https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
