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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:
Sklearn SVR - Training a SVM Regression Model with Python

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Python Code::
from sklearn.svm import SVR
from sklearn.metrics import mean_squared_error, mean_absolute_error
# initliase & fit model
model = SVR(C=1.5, kernel='linear')
model.fit(X_train, y_train)
# make prediction for test data
y_pred = model.predict(X_test)
# evaluate performance
print('RMSE:',mean_squared_error(y_test, y_pred, squared = False))
print('MAE:',mean_absolute_error(y_test, y_pred))

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