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A dual boundary classifier for predicting acute hypotensive episodes in critical care

Table 4

Mean (standard deviation in parentheses) of performance of algorithms—Our (DBC), KNN, RF, SVM, ADA and MU—Averaged over all the 864 [O,P,T] window settings using 5-fold cross validation.

The topmost rows show the results of using (1) only MAP measurements. The remaining rows show the results of using (2) MAP and HR, (3) MAP, HR and PUL, (4) MAP, HR, PUL and RR and (5) MAP, HR, PUL, RR and OSAT respectively. Best results in each row are indicated in bold.

Table 4

doi: https://doi.org/10.1371/journal.pone.0193259.t004