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ValueError: pos_label=1 is not a valid label: array(['COLLECTION', 'PAIDOFF'], dtype='<U10')

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I have face this error of pos_label firstly I import this library

from sklearn.metrics import jaccard_similarity_score
because of Version error I again import this library
from sklearn.metrics import jaccard_score
This is my code for running:
depth_range = range(1, 10)
jaccard_similarity_score_ = []
f1_score_ = []
for d in depth_range:
    dt = DecisionTreeClassifier(criterion = 'gini', max_depth = d)
    dt.fit(X_train, y_train)
    dt_yhat = dt.predict(X_test)
    ja = jaccard_score(y_test, dt_yhat, "yes")
    jaccard_similarity_score_.append(ja)
    f1_score_.append(f1_score(y_test, dt_yhat, average = 'weighted'))
I get this error :
ValueError: pos_label=1 is not a valid label: array(['COLLECTION', 'PAIDOFF'], dtype='<U10')
                Hi, can you show us the data set a bit? like maybe the first 5 rows and the names of the columnes? otherwise I think there is not enough information to figure out what's wrong.
– ItIsEntropy
                Jan 11, 2021 at 11:26
        
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