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Table 3 lists the MAPEs (in %) of each validation year under the 6-fold cross validation setting.
For simplicity, only Euclidean distance was used in the knn classifier, the number of neighbors k was optimized in a 10-fold cross validation setting.
The approach works in three steps: (i) optimization of the cost parameter in a 10-fold cross validation setting to maximize the area under the ROC curve (AUC); (ii) generation of 25 different SVMs by 5 repetitions of 5-fold cross validation using the optimized cost parameter; (iii) computation of the z-score for every feature.
The CRF-based entity detection algorithm was trained and tested in the ten-fold cross validation setting.
Until now there is little experience with the use of multiple imputation in an external validation setting.
Although we used advanced machine learning techniques to control overfitting, i.e. linear combination of univariate models or L1 regularization in Cox's proportional hazards model, these complex models failed to outperform simpler ones in a validation setting.
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The resulting model was subsequently validated utilising the validation set.
The model was internally validated using the validation set.
These results were validated in the validation set.
(a) Species classification results on species validation set St_B (n=692).
The validation set does show some clustering within the phylogeny, due to the large number of samples from Uzbekistan in the validation set, with a resulting higher number of XDR TB samples in the validation set.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com