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

[Guillaume Lemaître]

It looks like your data contains string. You need to make some
preprocessing before to give it the linear model.

On Thu, 1 Aug 2019 at 22:16, 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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-- 
Guillaume Lemaitre
INRIA Saclay - Parietal team
Center for Data Science Paris-Saclay
https://glemaitre.github.io/
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