Bad input shape for SVC

[Scott]

Hi everyone,

I am trying to test a support vector machine classifier on text data for a kernel I found. I found a kernel that uses a neural network on the data just fine but I cannot use a SVC. The link to the kernel is below:

https://www.kaggle.com/yufengdev/bbc-tex...gorization

The code for my SVC is

from sklearn.svm import SVC
from sklearn.model_selection import KFold
from sklearn.model_selection import cross_val_score
k_fold = KFold(n_splits=5, shuffle=True, random_state=0)

clf = SVC()
scoring = 'accuracy'
score = cross_val_score(clf, x_train, y_train, cv=k_fold, n_jobs=1, scoring=scoring)
print(score)

The error I get is:

ValueError: bad input shape (1424, 5)

Does anyone know why I am getting this error and how I can resolve this problem?

Thanks