摘要
Robotics&Machine Learning Daily News的一名新闻记者兼新闻编辑——根据基于预印摘要的新闻报道，我们的记者从OS F.IO获得了以下引用：“公共就业服务(PES)通常应用特征分析系统，针对有长期失业风险的求职者提供支持计划。这种系统经常将机构经验编入一套决策规则中，我们系统地评估了西班牙卡塔洛尼亚PES目前实施的基于规则的系统的预测性能，并与预测未来长期失业事件的统计模型进行了比较。
Abstract
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.
NETL
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