The data representativeness criterion: Predicting the performance of supervised classification based on data set similarity
In a broad range of fields it may be desirable to reuse a supervised classification algorithm and apply it to a new data set. However, generalization of such an algorithm and thus achieving a similar classification performance is only possible when the training data used to build the algorithm is si...
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Veröffentlicht in: | PloS one 2020-08, Vol.15 (8), p.e0237009-e0237009 |
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Sprache: | eng |
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