[scikit-learn] SVM-RFE with scoring = 'f1'

[Joel Nothman]

Or use scoring=make_scorer(f1_score, pos_label='n.pre')

On Fri, 2 Aug 2019 at 06:15, Malik Yousef <malik.yousef at 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)
>
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