词汇 | data-set |
释义 | BETA data setcollocation in Englishmeanings of dataand setThese words are often used together. Click on the links below to explore the meanings. data noun[ U, + sing/pl verb ] uk /ˈdeɪ.tə/ us /ˈdeɪ.t̬ə/ information, especially facts or numbers, collected to be examined and considered and used to help decision-making, or information in an electronic form that can be stored and used by ... See more at data set noun uk /set/ us /set/ a group of similar things that belong together in ... See more at set Examples of data setdata set One solution is to concentrate effort on a part of the dataset (a "sample"). This involves pre-processing the dataset to seek out those classes that are under-represented or have small support values. There are two problems with restriction of the dataset. Our panel dataset gives us the advantage of being able to actually identify the firms that made certain pension choices over the years. A labelled dataset is used to train the classifier by calculating the parmeters for each particular class. Changes then can be made to this dataset and the model can be solved given these changes. These cases, in general, require a sophisticated dataset to verify the underlying optimality conditions. It should be noted that some bias exists in the dataset. The transition/ transversion ratio estimated from the dataset was 2.545. In a typical inductive learning scenario, instances in a dataset are simply represented as ordered tuples of attribute values. There are limitations in analyzing any interspecific dataset, however. The model predictions and averaged predictions were compared using a calibration dataset and an independent dataset. In the complete dataset, the semantic level is largely neutral with respect to branching direction. Further research is required to determine whether this underestimation results from the use of normal priors for genetic effects on a larger dataset. The whole dataset is based on 2100 flies. These examples are from corpora and from sources on the web. Any opinions in the examples do not represent the opinion of the Cambridge Dictionary editors or of Cambridge University Press or its licensors. |
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