Skip to main content

Advertisement

Fig. 12 | BMC Bioinformatics

Fig. 12

From: SVM-RFE: selection and visualization of the most relevant features through non-linear kernels

Fig. 12

Visualization of RFE-KPCA-maxgrowth results for Scenario 1. Scenario 1 (being Variable 1 the relevant variable) results for a random simulated dataset and iteration 25 of the RFE-KPCA-maxgrowth-prediction approach. The first component of the KPCA (PC1) is represented in the X-axis and the second component (PC2) is represented in the Y-axis. Events, non-events (censored at the end of follow-up time) and losses to follow-up (censored during follow-up) are represented by red, green and blue color, respectively

Back to article page