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. 2021 Oct 26;10:e68758. doi: 10.7554/eLife.68758

Figure 4. Detection efficiency of benign conditions and multiclass classification.

(a) Pairwise classification performance results between lung cancer (LuCa), hamartoma (Hamart.) and non-symptomatic reference group (NSR) with overall model accuracy of 0.46 ± 0.18, and (b) pairwise classification performance between prostate cancer (PrCa), benign prostate hyperplasia (BPH), and NSR with overall model accuracy of 0.43 ± 0.06. The error bars show the standard deviation of the individual results of the cross-validation. Confusion matrix summarizing the per-class accuracies of multiclass classification in (c) the LuCa cohort and (d) the PrCa cohort. The characteristics of the cohort used for this analysis are given in Figure 4—source data 1. Chance level for the three-class classification corresponds to 0.33.

Figure 4—source data 1. Characteristics of the matched groups utilized for the analysis presented in Figure 4.

Figure 4.

Figure 4—figure supplement 1. Influence of chronic obstructive pulmonary disease (COPD) in lung cancer (LuCa) detection.

Figure 4—figure supplement 1.

Classification performance of LuCa vs. mixed references as a function of the COPD status. The characteristics of the cohort used for this analysis are given in Figure 4—figure supplement 1—source data 1.
Figure 4—figure supplement 1—source data 1. Characteristics of the matched groups utilized for the analysis presented in Figure 4—figure supplement 1.