首页|University of Guadalajara Reports Findings in Machine Learning (Application of the performance of machine learning techniques as support in the prediction of school dropout)
University of Guadalajara Reports Findings in Machine Learning (Application of the performance of machine learning techniques as support in the prediction of school dropout)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Machine Learning is the subject of a report. According to news reporting originating from Jalisco, Mexico, by NewsRx correspondents, research stated, "This article presents a study, intending to design a model with 90% reliability, which helps in the prediction of school dropouts in higher and secondary education institutions, implementing machine learning techniques. The collection of information was carried out with open data from the 2015 Intercensal Survey and the 2010 and 2020 Population and Housing censuses carried out by the National Institute of Statistics and Geography, which contain information about the inhabitants and homes. in the 32 federal entities of Mexico." Our news editors obtained a quote from the research from the University of Guadalajara, "The data were homologated and twenty variables were selected, based on the correlation. After cleaning the data, there was a sample of 1,080,782 records in total." According to the news editors, the research concluded: "Supervised learning was used to create the model, automating data processing with training and testing, applying the following techniques, Artificial Neural Networks, Support Vector Machines, Linear Ridge and Lasso Regression, Bayesian Optimization, Random Forest, the first two with a reliability greater than 99% and the last with 91%."
JaliscoMexicoNorth and Central AmericaCyborgsEmerging TechnologiesMachine Learning
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