Prediction of learning by group-rated association values versus individual-rated association values
نویسندگان
چکیده
منابع مشابه
Association of individual activities of daily living with self-rated health in older people.
OBJECTIVE to evaluate the associations of 18 activities of daily living with self-rated health in older people. DESIGN AND SETTING cross-sectional study of a representative sample of 781 people aged 65 or over (response rate: 89.9%). METHODS self-rated health was assessed by the question: "Overall, how would you rate your current health status-very good, good, fair, poor or very poor?" We u...
متن کاملA genome-wide association study of self-rated health.
Self-rated health questions have been proven to be a highly reliable and valid measure of overall health as measured by other indicators in many population groups. It also has been shown to be a very good predictor of mortality, chronic or severe diseases, and the need for services, and is positively correlated with clinical assessments. Genetic factors have been estimated to account for 25-64%...
متن کاملThe Association between Long Working Hours and Self-Rated Health
OBJECTIVES This study was conducted to determine the number of hours worked per week by full-time wage workers by using the data of the Korean Labor and Income Panel Study (KLIPS), which represents the domestic urban area household, and to determine the association between weekly working hours and the level of self-rated health. METHODS We used data from the 11th KLIPS conducted in 2008. The ...
متن کاملActive Learning with Connections to Confidence-rated Prediction
In the problem of active learning, we are given a set of unlabelled examples and the ability to query the labels of a subset of them, in an adaptive manner. The goal is to find a classifier with a target excess error, while querying as few labels as possible. In this report, we review several existing solutions to this problem: generalized binary search, disagreement-based active learning and m...
متن کاملTreatment of Missing Values for Association Rules
Abs t r ac t . Agrawal et al. [2] have proposed a fast algorithm to explore very large transaction databases with association rules [1]. In many real world applications data are managed in relational databases where missing values are often inevitable. We will show, in this case, that association rules algorithms give bad results because they have been developed for transaction databases where ...
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ژورنال
عنوان ژورنال: Journal of Verbal Learning and Verbal Behavior
سال: 1963
ISSN: 0022-5371
DOI: 10.1016/s0022-5371(63)80058-4