Development and validation of screening tools for motoric cognitive risk syndrome in community settings

Figure 3 Inference of predictors by two models on training dataset. A: Multivariable logistic regression (LR) forest plot of motoric cognitive risk; B: Optimization of the decision tree (DT) model using cross-validation. Through the forest plot of LR analysis to construction of the interactive nomogram (odds ratios are tested with Wald χ² tests with 1 degree of freedom). The figure of DT model displays the dynamic relationship between the relative error (Y-axis), splits number (upper X-axis), and complexity parameter (lower X-axis). OR: Odds ratio; CI: Confidence interval; Min: Minimum.