Author:
Samojluk Artur,Nowak Bartosz,Papiernik Karolina
Abstract
The article studied topics related to measuring people’s sadness. For this purpose, the question was asked which factor: social, economic or climate, matters most. The paper analyzed, using machine learning, statistical data related to the number of suicides against the factors: level of Internet access, average income, temperature in a country and, in addition, population density. The method used was correlational statistical analysis using the K-nearest neighbor (KNN) method and also Pearson’s correlation. The results were visualized in the form of graphs, then subjected to final analysis and included in the form of final conclusions.
Publisher
Uniwersytet Warminsko-Mazurski
Reference22 articles.
1. BEYER K., GOLDSTEIN J., RAMAKRISHNAN R., SHAFT U. 1999. When Is “Nearest Neighbor Meaningful?”. Lecture Notes in Computer Science, 1540.
2. BOGOMOLOV A., LEPRI B., PIANESI F. 2013. Happiness Recognition from Mobile Phone Data. International Conference on Social Computing, 08-14 September 2013, Alexandria, VA, USA. https://doi.org/10.1109/SocialCom.2013.118.
3. Business and economic data for 200 countries. 2022. The Global Economy. https://www.theglobaleconomy.com/rankings/gdp_per_capita_current_dollars/.
4. COVER T., HART P. 1967. Nearest neighbor pattern classification. IEEE Transactions on Information Theory, 13(1): 21–27.
5. CPALKA K., NOWICKI R.K., RUTKOWSKI L. 2007. Rough-Neuro-Fuzzy Systems for Classifaction. The First IEEE Symposium on Foundations of Computational Intelligence (FOCI’07).