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Given the following text problem statement, write Python code to implement the functionality described below in problem statement
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Problem:
Linear SVC Sklearn - Training a Linear SVM Classification Model

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Python Code::
from sklearn.svm import SVC
from sklearn.metrics import classification_report
# create a linear SVC model with balanced class weights
model = SVC(C=1, kernel='linear', class_weight='balanced')
# fit model
model.fit(X_train, y_train)
# make predictions on test data
y_pred = model.predict(X_test)
# create a dataframe of feature coefficients 
coef = pd.DataFrame(model.coef_,columns=X_train.columns)
print(coef)
# print classification report
print(classification_report(y_test, y_pred))

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