You are developing a machine learning model using a dataset that includes categorical input variables. To evaluate model performance, you have randomly split the dataset into equal training and test sets. After applying one-hot encoding to the categorical variables in the training set, you notice that one of the categorical variables present in the training set is missing from the test set. How should you address this discrepancy?