====== Project 1a: Spam classification ======

Updated on 24.03.2020 - JS - changed quality scoring, three points are given for macc >= 0.9 (previously it was macc >= 0.95)  
  
Editted on 14.04.2020 - JS - added {{:courses:ui:tasks:st1_report_checklist.pdf|report checklist}}.

The goal of the task is to create a spam filter. 

  * {{:courses:ui:tasks:spam_filter_description.pdf|Task description}}
  * Something to start with: ''{{:courses:ui:tasks:filter_template.py|filter_template.py}}''
  * {{:courses:ui:tasks:spam-data.zip|Data}}
  * Templates: {{:courses:ui:tasks:b3m33ui-report-word-template.zip|Word}}, {{:courses:ui:tasks:b3m33ui-report-latex-template.zip|LaTeX}}

You should submit 
  * Python module ''filter.py'' with the filter of your choice,
  * report describing what you have done, and
  * Python modules/scripts demonstrating what you have done.

Make sure that your report contains all relevant information {{:courses:ui:tasks:st1_report_checklist.pdf|report checklist}}.

The code in ''filter.py'' will be used to assess the quality of your filter, and for the contest of all filters. The report may be in Czech or in English, shall have the form of a scientific article, it should be concise, self-contained, showing everything the author wants to show.

**This task is individual**. Teams are not allowed.

** Deadline:** Find the exact date in BRUTE.

** Late policy: ** late solutions will be penalized by 4 points for each started week of delay.