Fig. 2 | Scientific Reports

Fig. 2

From: An efficient and interactive feature selection approach based on copula entropy for high-dimensional genetic data

Fig. 2The alternative text for this image may have been generated using AI.

Classification accuracy of eight feature selection methods. a - e, Maximum classification accuracy of eight feature selection methods on five datasets (CEFS+ is our proposed method, and CEFS is the basic version of CEFS+. RF, SVM and lgb stand for the classifiers Random Forest, Support Vector Machine and lightGBM respectively). f, Maximum average accuracy of eight feature selection methods on three high-dimensional gene datasets (arcene, BRCA and pancan_tcga).

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