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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]
In common usage, evaluation is a systematic determination and assessment of a subject's merit, worth and significance, using criteria governed by a set of standards.It can assist an organization, program, design, project or any other intervention or initiative to assess any aim, realizable concept/proposal, or any alternative, to help in decision-making; or to generate the degree of ...
The four levels of Kirkpatrick's evaluation model are as follows: Reaction - The degree to which participants find the training favorable, engaging and relevant to their jobs; Learning - The degree to which participants acquire the intended knowledge, skills, attitude, confidence and commitment based on their participation in the training
ADDIE is an instructional systems design (ISD) framework that many instructional designers and training developers use to develop courses. [1] The name is an acronym for the five phases it defines for building training and performance support tools: Analysis; Design; Development; Implementation; Evaluation
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.
The evaluation determines whether target populations are being reached, people are receiving the intended services, staff are adequately qualified. Process evaluation is an ongoing process in which repeated measures may be used to evaluate whether the program is being implemented effectively.
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