Repository includes README.md with clear instructions on how to easily install prerequisites and run all the analysis. The code must be runnable and output results must be similar to the ones reported in the report.

Report follows suggested structure (abstract, introduction, related work, methods, results and discussion, conclusion) and is roughly maxed to 6 pages long. The style is the same as defined in the project introduction slides. The report concisely describes data preprocessing, features extraction and approaches/algorithms (at least 3 approaches). Results and discussion show the results and comments on the performance of algorithms. Discussion also points out where the algorithms do not work well and where they achieve good performance. In the conclusion the authors should point out shortcomings of their approaches and give at least one idea for improvements in the future. When reading the report, you could get a feeling that authors know what they are doing, sensibly selected approaches and critically explain and discuss their results.

Same as above, just list and describe problems in the report.

Assign score 5-10 according to the criteria in this labs.