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Predictive analytics is a form of business analytics applying machine learning to generate a predictive model for certain business applications. As such, it encompasses a variety of statistical techniques from predictive modeling and machine learning that analyze current and historical facts to make predictions about future or otherwise unknown ...
Definition Positive predictive value (PPV) The positive predictive value (PPV), or precision, is defined as = + = where a "true positive" is the event that the test makes a positive prediction, and the subject has a positive result under the gold standard, and a "false positive" is the event that the test makes a positive prediction, and the subject has a negative result under the gold standard.
DISC assessment. DISC assessments are behavioral self-assessment tools based on psychologist William Moulton Marston's DISC emotional and behavioral theory, first published in 1928. [1] These assessments aim to improve job performance by categorizing individuals into four personality traits: dominance, inducement, submission, and compliance .
Forecast skill. In the fields of forecasting and prediction, forecasting skill or prediction skill is any measure of the accuracy and/or degree of association of prediction to an observation or estimate of the actual value of what is being predicted (formally, the predictand); it may be quantified as a skill score. [1]
The Work Personality Index is a psychometric assessment that measures personality traits. It was designed by Dr. Donald Macnab and Shawn Bakker of Psychometrics Canada. The questionnaire is designed to identify personality traits that relate to work performance; it takes most people 10 minutes to complete. It was created for the applications of ...
Football Power Index (abbreviated as FPI) is a predictive rating system developed by ESPN that measures team strength and uses it to forecast game and season results in American football. Each team's FPI rating is composed of predictive offensive, defensive, and special teams value, as measured by a function of expected points added (EPA).
Predictive coding was initially developed as a model of the sensory system, where the brain solves the problem of modelling distal causes of sensory input through a version of Bayesian inference. It assumes that the brain maintains an active internal representations of the distal causes, which enable it to predict the sensory inputs. [5]
Predictive validity. In psychometrics, predictive validity is the extent to which a score on a scale or test predicts scores on some criterion measure. [1] [2] For example, the validity of a cognitive test for job performance is the correlation between test scores and, for example, supervisor performance ratings.
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