Fig. 3 | Scientific Reports

Fig. 3

From: Identification of CXCR4 as a potential preventive gene in clear cell renal cell carcinoma from machine learning and immune analysis

Fig. 3

Construction as well as the validation of the lasso model, the SVM model, and the RF model. (A) The correlation between the total number of trees in the random forest and the error rates. An order based on the relative significance of the genes. (B) A LASSO model’s cross-validation process for adjusting parameter selection. Each curve represents a single gene. LASSO analysis of the coefficients. Plotted at the best lambda are vertical dashed lines. (C) An SVM-RFE approach for the selection of feature genes.

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