In all these codes, trn is used for the training set obtained after all the pre-processing except for applying SMOTE. There is a data set called tst for wihch the class labels are unknown, and are to be predicted. The same preprocessing for reducing the columns is done on data set tst also to ensure same number of columns in both, tst and trn trn.bal is used for the final training data set obtained after applying SMOTE as well.
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