Fig. 4

Predictive pseudoprobability, ROC, and variables’ normalized importance for ANN5-SH and ANN5-SD models. a The ANN5-SH’s predictive pseudo-probability to correctly classify rats drinking H₂O or NaHCO₃ is close to 100%, whereas the misdiagnosed cases were close to zero. b The ANN5-SD’s predictive pseudo-probability for correct predictions was close to 0.6 (60%) whereas the misdiagnosed cases were at 40%. c ANN5-SH’s ROC curve, representing the sensitivity (y-axis) and specificity (x-axis) for the model, is supported by an excellent AUC of 0.972. d ANN5-SD’s ROC curve and an unsatisfactory AUC of 0.587. e, f The importance of the 6 independent variables used to build the ANN5 models, e corresponds with ANN5-SH and f with ANN5-SD. Figure created with SPSS 28 and Prism GraphPad