Figure 2 | Scientific Reports

Figure 2

From: Development and validation of a machine learning-based readmission risk prediction model for non-ST elevation myocardial infarction patients after percutaneous coronary intervention

Figure 2

Venn plots reflect the number of results for the three variable screening methods; The overlapping part is the seven variables selected, Logistic regression (LR) non-overlapping part has 4 variables, Random Forest (RF) non-overlapping section has 13 variables, Least absolute shrinkage and selection operator (LASSO) has 28 variables in the nonoverlapping section.

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