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An after action review (AAR) is a technique for improving process and execution by analyzing the intended outcome and actual outcome of an action and identifying practices to sustain, and practices to improve or initiate, and then practicing those changes at the next iteration of the action [1] [2] AARs in the formal sense were originally developed by the U.S. Army. [3]
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]
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The evaluators are supposed to check and analyze the budget lines and to report the findings in their work. [3] Monitoring and Evaluation is also useful in the Facilities [Hospitals], it enables the donors such as WHO and UNICEF to know whether the funds provided are well utilized in purchasing drugs and also equipment in the Hospitals.
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