Efficacy prediction of noninvasive ventilation failure based on the stacking ensemble algorithm and autoencoder

Table 5 Classification experimental results of different machine learning classifiers

Classifiers	Accuracy	AUC	F1	Precision	Recall
Random forest	0.862	0.896	0.729	0.861	0.633
Logistic regression	0.834	0.905	0.758	0.663	0.884
Catboost	0.866	0.901	0.755	0.817	0.701
SVM	0.832	0.845	0.754	0.662	0.878
GBDT	0.862	0.892	0.745	0.815	0.687
XGBoost	0.858	0.888	0.732	0.822	0.66
LightGBM	0.872	0.893	0.763	0.837	0.701
SMSN	0.882	0.915	0.794	0.814	0.776

ISSN: 1472-6947