首页|Researcher from National University Colombia Describes Findings in Machine Learn ing (Improving the Automatic Detection of Dropout Risk in Middle and High School Students: A Comparative Study of Feature Selection Techniques)
Researcher from National University Colombia Describes Findings in Machine Learn ing (Improving the Automatic Detection of Dropout Risk in Middle and High School Students: A Comparative Study of Feature Selection Techniques)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Investigators publish new report on ar tificial intelligence. According to news originating from Medellin, Colombia, by NewsRx correspondents, research stated, "The dropout rate in underdeveloped and emerging countries is a pressing social issue, as highlighted by studies conduc ted by The Organization for Economic Co-operation and Development." The news journalists obtained a quote from the research from National University Colombia: "This study compares five feature selection techniques to address thi s challenge and improve the automatic detection of dropout risk. The methodologi cal design involves three distinct phases: data preparation, feature selection, and model evaluation utilizing machine learning algorithms."
National University ColombiaMedellinColombiaSouth AmericaCyborgsEmerging TechnologiesMachine Learning
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