Or use scoring=make_scorer(f1_score, pos_label='n.pre') On Fri, 2 Aug 2019 at 06:15, Malik Yousef <malik.you...@gmail.com> wrote:
> Hello > When in using the scoring to be 'f1' then i get an error. > Here is the code and the error > > X=data > y=target_column > classifier = LinearSVC() > rfecv = RFECV(estimator=classifier, step=0.1, > cv=StratifiedKFold(5),scoring='f1') > rfecv.fit(X, y) > > The error is : > ValueError: pos_label=1 is not a valid label: array([u'c.pre', u'n.pre'], > dtype='<U5') > > Please your help > (I'm new to using scikit-leanr) > > --------------------------------------------------------------------------------------- > *Prof. Malik Yousef , Associate Professor * > *Zefat Academic College , Department of Information System * > Home Page: > https://malikyousef.com/ > Google Scholar Profile : > https://scholar.google.com/citations?user=9UCZ_q4AAAAJ&hl=en&oi=ao > > ---------------------------------------------------------------------------------------------------- > _______________________________________________ > scikit-learn mailing list > scikit-learn@python.org > https://mail.python.org/mailman/listinfo/scikit-learn >
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