MrPredictions anticipates presidential results in Paraguay
Albuquerque, NM, EUA
Data were obtained through the process known as Data Science
That study was also published on ITF365 website and pointed to a different result from traditional surveys. At that moment it had already showed a smaller difference between the candidates.
Last Friday (April 20th) the science house MrPredictions returned to publicize a prediction 48 hours before the election, with the following result:
Candidates for the Presidency in Paraguay.
The announcement was made in a statement format to the press instead of posting on its own website.
When the polls were opened - 48 hours later - the results were as follows:
The projection of the results pointed out by MrPredictions was 1.56% of the final numbers of the winning candidate, Mario Abdo Benitez (Marito), and 0.74% of the second candidate Efrain Alegre.
The results obtained by traditional methods had a different profile, though:
The findings obtained by MrPredictions are the result of an innovative process known as "Data Science". It contains the analysis of information in digital format, in particular results of search tools (generic and specialized).
Data Science is the scientific field that focuses on new methodologies and algorithms to process, analyze and synthesize data generated by an infinity of sources and sensors, and at different scales. It covers machine learning, data mining, computational statistics, information retrieval, and scalable algorithms. It can be applied in neuroscience and in brain functionality understanding, health analysis, and medical informatics. Understanding and monitoring environmental and social sciences, in addition to distributed decision making, cognitive science, computational linguistics, visual and image analysis, complex networks and smart cities.
In Paraguay´s case, this task had a higher degree of difficulty because it was a bilingual election. Part of the population speaks just one of the country official languages (Guarani).
These studies and analyzes are developed by MrPredictions Science House in partnership with the Mapa Institute and the companies Nexxera and Núcleo Mundial, and are also part of the P2ELab deployment process.
As well as it had already happened in the US presidential election the data science method proved to be very dynamic and reliable. The method achieves much higher levels of accuracy than traditional methods.