Prepare a submission
You've already built a model on the training data from the Kaggle Store Item Demand Forecasting Challenge. Now, it's time to make predictions on the test data and create a submission file in the specified format.
Your goal is to read the test data, make predictions, and save these in the format specified in the "sample_submission.csv" file. The rf object you created in the previous exercise is available in your workspace.
Note that starting from now and for the rest of the course, pandas library will be always imported for you and could be accessed as pd.
This exercise is part of the course
Winning a Kaggle Competition in Python
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Read test and sample submission data
test = ____.____(____)
sample_submission = ____.____(____)
# Show the head() of the sample_submission
print(____.____)