In this task you will be given an answer to a question. You need to generate a question. The answer given should be a correct answer for the generated question.
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Question: A cooling tower is a heat rejection device that rejects waste heat to the atmosphere through the cooling of a water stream to a lower temperature. Cooling towers may either use the evaporation of water to remove process heat and cool the working fluid to near the wet-bulb air temperature or, in the case of closed circuit dry cooling towers, rely solely on air to cool the working fluid to near the dry-bulb air temperature.

Answer: why we use cooling tower in power plant


Question: The Governor-General of the Commonwealth of Australia is the representative of the Australian monarch, currently Queen Elizabeth II. The Governor-General is appointed by the Queen on the advice of the Prime Minister of Australia. The Governor-General has formal presidency over the Federal Executive Council and is commander-in-chief of the Australian Defence Force. The functions of the Governor-General include appointing ministers, judges, and ambassadors; giving royal assent to legislation passed by Parliament; issuing writs for election; and bestowing Australian honours.

Answer: what power does the governor general have in australia


Question: Cross-validation, sometimes called rotation estimation, or out-of-sample testing is any of various similar model validation techniques for assessing how the results of a statistical analysis will generalize to an independent data set. It is mainly used in settings where the goal is prediction, and one wants to estimate how accurately a predictive model will perform in practice. In a prediction problem, a model is usually given a dataset of known data on which training is run (training dataset), and a dataset of unknown data (or first seen data) against which the model is tested (called the validation dataset or testing set )., The goal of cross-validation is to test the model's ability to predict new data that was not used in estimating it, in order to flag problems like overfitting or selection bias and to give an insight on how the model will generalize to an independent dataset (i.e., an unknown dataset, for instance from a real problem).

Answer:
cross-validation of findings from a prediction study is particularly important for