If you're looking at the training dataset, you'll see these 17 columns:

"f1" - "f14" are feature columns, represented as integers. They are inputs for you model.

"c1" is also a feature column, represented as a category. Feel free to ignore it if you're not sure how to best use it.

"validation" is a binary 0 or 1 that just says: 'if you want to validate your own model, so you can test your accuracy on your own machine, you may want to use the rows that have 1's here.'

"target" is the expected output. For this training data it is provided, for the tournament data you come up with it.

Does that help?