This week was a week of conclusions.
In the discipline of AAUT1IA, after testing the models and resolution of the one that was chosen (Random Forest), we move on to the user interface part, where he can put a song or choose the parameters and get the result whether it will be a hit or not.
In the discipline of PLNTDIA, we are in some cases with the TOPSIS algorithm because our data was not normalized, so they presented discrepant results. After we notice these anomalies we move on to normalization of the data. With the normalization of all the data and the expected results, we move to the user interface where the user can create his playlists according to a special song and attribute that you choose.
While working on both projects we also took the opportunity to finalize the second part of the article, where we improved the chapter of the dataset and preprocessing and methods and we will present the new ones: results, conclusions and future work.