美 英 un.预测效果 网络预测效度;预测有效性;预示效度 英汉 网络释义 un. 1. 预测效果 例句
翻译 predictive validity [priˈdiktiv vəˈlɪdɪtɪ] 释义 预测效度 实用场景例句 全部 Furthermore, the proposed model provides betterpredictive validitythan the benchmark models. 而且, 该模型比基准模型提供了更好的预测有效性. 互联网 ...
How is predictive validity used? There is a myriad of uses for predictive validity. It can be used to see who is at risk for dangerous behaviors such as drug use or suicide, but it can also be used to predict who will find success in college or a job.What...
(redirected fromPredictive validity) Thesaurus Medical Encyclopedia Wikipedia val·id (văl′ĭd) adj. 1.Well grounded; just:a valid objection. 2.Producing the desired results; efficacious:valid methods. 3.Having legal force; effective or binding:a valid title. ...
Predictive validity is the extent to which performance on a test is related to later performance that the test was designed to predict. For example, the SAT test is taken by high school students to predict their future performance in college (namely, their college GPA). If students who scored...
predictive validity 预测效度;例句:1.The Stanford group found that the CGQ in particular exhibited virtually no predictive validity.
Predictive validity refers to the ability of a test or other measurement method to predict a future outcome.
Most commonly, this refers to the actions of drugs that alleviate or worsen the condition; predictive validity is high if drugs known to alleviate the disease in humans also attenuate the measures taken in the model, and if drugs that do not work in the human are also ineffective in the ...
Understanding and using the Implicit Association Test: III. Meta-analysis of predictive validity. Adult attachment representations, parental responsiveness, and infant attachment: a meta-analysis on the predictive validity of the ...
Klapproth, F., Krolak-Schwerdt, S., Horstermann, T., & Martin, R. (2013). Predictive validity of tracking decisions: Application of a new validation criterion. In M. Spiliopoulou, L. Schmidt-Thieme, & R. Janning (Eds.), Data analysis, machine learning, and knowledge discovery: ...