Figure 3
From: Early symptoms and sensations as predictors of lung cancer: a machine learning multivariate model
Receiver operating characteristic (ROC) curves for lung cancer prediction performance from orthogonal projections to latent structures (OPLS) modelling. ROC curves of lung cancer prediction performance were calculated from CV test set lung cancer prediction scores compared to diagnostic outcome (lung cancer or no cancer). Area under the ROC curves are shown in Table 3. For a detailed description of the full model and included variables, see Table 2. Background only_7 var (blue broken line): Seven background variables only. Full model_70 var (purple line): Final model, including 63 descriptors + seven background variables. Descriptors only_63 var (green broken line): 63 descriptors only.
