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

[Malik Yousef]

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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*Prof. Malik Yousef , Associate Professor                           *
*Zefat Academic College , Department of Information System  *
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https://malikyousef.com/
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