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A training data set is a data set of examples used during the learning process and is used to fit the parameters (e.g., weights) of, for example, a classifier. [9] [10]For classification tasks, a supervised learning algorithm looks at the training data set to determine, or learn, the optimal combinations of variables that will generate a good predictive model. [11]
Needs assessment. A needs assessment is a systematic process for determining and addressing needs, or "gaps", between current conditions, and desired conditions, or "wants". [ 1] Needs assessments can help improve policy or program decisions, individuals, education, training, organizations, communities, or products. [ 2]
Questionnaires are frequently used in quantitative marketing research and social research. They are a valuable method of collecting a wide range of information from a large number of individuals, often referred to as respondents. What is often referred to as "adequate questionnaire construction" is critical to the success of a survey.
A course evaluation is a paper or electronic questionnaire, which requires a written or selected response answer to a series of questions in order to evaluate the instruction of a given course. The term may also refer to the completed survey form or a summary of responses to questionnaires. They are a means to produce feedback which the teacher ...
A Likert scale ( / ˈlɪkərt / LIK-ərt, [ 1][ note 1]) is a psychometric scale named after its inventor, American social psychologist Rensis Likert, [ 2] which is commonly used in research questionnaires. It is the most widely used approach to scaling responses in survey research, such that the term (or more fully the Likert-type scale) is ...
360-degree feedback. 360-degree feedback (also known as multi-rater feedback, multi source feedback, or multi source assessment) is a process through which feedback from an employee's subordinates, peers, colleagues, and supervisor (s), as well as a self-evaluation by the employee themselves is gathered. Such feedback can also include, when ...
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