Construction and Analysis of Hepatocellular Carcinoma Prognostic Model Based on Random Forest

Figure 2

Identification of important DEGs: (a) the effect of the number of decision trees on the error rate. The X-axis represents the number of decision trees, and the Y-axis represents the error rate. When the number of decision trees is about 400, the error rate is relatively stable; (b) results of the Gini coefficient method in random forests. The X-axis represents genetic variables and the Y-axis represents the importance index; (c) the volcano diagram; (d) the heatmap diagram.

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