https://tie2-receptor.com/fear....-of-covid-19-in-roma
A total of 23 factors were included to build up predictive designs for LNM by several ML algorithms. The models were assessed by the receiver operating feature (ROC) bend for predictive overall performance and choice curve analysis (DCA) for clinical values. A feature selection method ended up being used to recognize ideal predictive factors. Outcomes areas beneath the ROC curve (AUCs) of this 8 models ranged from 0.784 to 0.899. Some ML-based designs carried out better than models maki
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