SOLVED: Use the scikit-learn traintestsplit function to create a Training-Test split with 75% of the data designated for training and 25% for testing. Make sure to use the random state provided below
How to Use Sklearn train_test_split in Python - Sharp Sight
model selection - Does it make sense to use train_test_split and cross-validation when using GridSearchCV to play with hyperparameters? - Data Science Stack Exchange