首页|From rules to forests: rule-based versus statistical models for jobseeker profil ing
From rules to forests: rule-based versus statistical models for jobseeker profil ing
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – According to news reporting based on a preprint abstract, our journalists obtained the following quote sourced from os f.io: “Public employment services (PES) commonly apply profiling systems to target sup port programs to jobseekers at risk of becoming long-term unemployed. Such syste ms often codify institutional experiences in a set of decision rules, whose pred ictive ability, however, is seldomly tested. We systematically evaluate the pred ictive performance of a rule-based system currently implemented by the PES of Ca talonia, Spain, in comparison to the performance of statistical models in predic ting future long-term unemployment episodes.
CyborgsEmerging TechnologiesMachine LearningRisk and Prevention
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