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TítuloAutomatic classification of respiratory patterns involving missing data imputation techniques

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Table 2 e Feature characterisation of the data sets.
Table 3 shows the accuracy measures obtained by the selected models over a 10  10-fold cross validation for the respiratory pattern classification
Table 5 shows the Area Under ROC curve with one opera- opera-tion point value, obtained for each of the respiratory pattern.
Fig. 2 e Multiple comparison procedure plot (the best model is marked). CTree ¼ Classification Tree, Hot ¼ hot-deck, RF ¼ Random Forest.
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