Table 4.

Predictability of respiratory needs per predictive model.

Model	Kappa optimization, kappa, mean (SD)	Recalls optimization average, kappa, mean (SD)
KNNa	0.324 (0.050)	0.162 (0.022)
DTb	0.708 (0.017)c	0.110 (0.126)
RFd	0.518 (0.013)	0.017 (0.014)
XGBe	0.586 (0.022)	0.043 (0.013)
LRf	0.080 (0.009)	0.070 (0.009)
MLPg	0.464 (0.046)	0.204 (0.164)
LGBMh	0.567 (0.037)	0.366 (0.106)c

^aKNN: k-nearest neighbors.

^bDT: decision tree.

^cBest-performing models.

^dRF: random forest.

^eXGB: XGBoost.

^fLR: logistic regression.

^gMLP: multilayer perceptron.

^hLGBM: LightGBM.