We will use the term frequency weights included in the object `data_tf` to predict rating. Split the dataset containing review rating and term frequencies into train and test samples. Use sample() to create a train sample with 75% of the data and a test sample with the remaining 25%. Use a seed of 1031. For a dataset called data, the following code will create the train and test samples