Data format

During this assignment you will work with data sets of emails, which will also contain meta-data about the emails. Such a set of data is usually called a corpus. In our case, the meta-data will contain information whether a particular email is a spam or not, and/or whether a spam filter thinks that the email is spam or not.

You are given two sets of data to work with, they both come from the same source. download data

We shall use the following convention: our email corpus will be

a folder, where every file contains a single email message in a text form, with the exception of
the !truth.txt file, which contains a name of a file with an email and an information about its true nature (spam or not), one file per line, and
the !prediction.txt file, which has the same structure as !truth.txt, but contains the spam filter predictions/decisions for the respective email message file.

Of course, these two files do not have to be present in the corpus directory:

Spam filter itself needs neither of them to work and decide. However, the spam filter should be able to create !prediction.txt with the correct structure containing its predictions.
If you create your own spam filter (or if you want to try to use a machine learning algorithm to build the filter), you will need a training corpus, i.e. a corpus containing the !truth.txt file. (Because otherwise you would not know which emails are spam…)
And, when we evaluate quality of a filter, we will need both files - !truth.txt and !prediction.txt. By comparing these files, we can tell how good predictions the filter provides.