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2. Work Personality Index - Wikipedia

   en.wikipedia.org/wiki/Work_Personality_Index

   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 ...

3. Predictive analytics - Wikipedia

   en.wikipedia.org/wiki/Predictive_analytics

   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 ...

4. Predictive validity - Wikipedia

   en.wikipedia.org/wiki/Predictive_validity

   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.

5. Prediction interval - Wikipedia

   en.wikipedia.org/wiki/Prediction_interval

   Prediction interval. In statistical inference, specifically predictive inference, a prediction interval is an estimate of an interval in which a future observation will fall, with a certain probability, given what has already been observed. Prediction intervals are often used in regression analysis . A simple example is given by a six-sided die ...

6. Predictive coding - Wikipedia

   en.wikipedia.org/wiki/Predictive_coding

   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]

7. Statistical inference - Wikipedia

   en.wikipedia.org/wiki/Statistical_inference

   Statistical inference is the process of using data analysis to infer properties of an underlying distribution of probability. [1] Inferential statistical analysis infers properties of a population, for example by testing hypotheses and deriving estimates. It is assumed that the observed data set is sampled from a larger population.

8. Decision tree learning - Wikipedia

   en.wikipedia.org/wiki/Decision_tree_learning

   t. e. Decision tree learning is a supervised learning approach used in statistics, data mining and machine learning. In this formalism, a classification or regression decision tree is used as a predictive model to draw conclusions about a set of observations. Tree models where the target variable can take a discrete set of values are called ...

9. Myers–Briggs Type Indicator - Wikipedia

   en.wikipedia.org/wiki/Myers–Briggs_Type_Indicator

   The Myers–Briggs Type Indicator ( MBTI) is a pseudoscientific [5] self-report questionnaire that claims to indicate differing "psychological types" (often commonly called "personality types"). The test assigns a binary value to each of four categories: introversion or extraversion, sensing or intuition, thinking or feeling, and judging or ...