# the error occurred while selecting feature using recursive feature elimination in sklearn

I tried to rank the feature using recursive feature elimination in sklearn. However, I got this error when using RFE. here are the error and code information.

  from sklearn import svm
x_vals = data['all_data'][:,0:320]

y_vals_new = np.array([0 if each=='Neg'  else 1 if each =='Neu' else 2 for each in data['all_data'][:,320]])

clf = svm.SVC(decision_function_shape='ovo',kernel='rbf')

rfe = RFE(clf, 200)
rfe = rfe.fit(x_vals,y_vals_new)

print(rfe.support_)
print(rfe.ranking_)

clf.fit(DEAP_x_train, DEAP_y_train)

print("###Valence###")
print("when the kernel function is rbf")
print('The mean square error %10.9f ' % np.mean((clf.predict(DEAP_x_test)-DEAP_y_test)**2))  # The mean square error

print('the mean accuracy on the given test data and labels %10.9f'% clf.score(DEAP_x_test, DEAP_y_test))


Did anyone know the reason of this error？ some opinion showed that RFE（recursive feature elimination) only works with SVC when the kernel is chosen to be linear. Is that correct？ Thanks a lot！