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Table 2 Results of similar models with all risk factors

From: A non-linear ensemble model-based surgical risk calculator for mixed data from multiple surgical fields

  Models AUC BS \({\mathbf{HL}}_{{\hat{\varvec{c}}}}\) P-value
Training mode 1 (10-fold cross validation) NL-SRC 0.899 0.062 7.398 0.494
logit 0.884 0.065 14.196 0.077
RF 0.885 0.064 10.426 0.236
XGBoost 0.895 0.062 13.026 0.111
Training mode 1 (6-fold cross validation) NL-SRC 0.897 0.062 8.798 0.360
logit 0.883 0.065 13.879 0.085
RF 0.885 0.064 12.818 0.118
XGBoost 0.896 0.063 10.968 0.204
Training mode 2 NL-SRC 0.902 0.058 8.391 0.396
logit 0.890 0.059 12.427 0.133
RF 0.892 0.058 14.226 0.058
XGBoost 0.900 0.056 9.439 0.306
Training mode 3 NL-SRC 0.872 0.047 15.232 0.055
logit 0.875 0.066 90.989 <0.001
RF 0.879 0.067 11.522 0.174
XGBoost 0.886 0.067 27.285 <0.001