Table 1.

Comparison of classification results obtained by different methods in the hepatocellular carcinoma (HCC) dataset.

No.	Methods	Validation Methods	No. of DEGs	Accuracy	Source
1	Ensemble of DT based on unbalanced dataset	Naïve Bayes (NB) and support vector machine (SVM)	34	0.9952	Our method
2	Significance Analysis of Microarrays (SAM)-t test + Gene regulatory probability (GRP)	SVM (RBF, Radial Basis Function Kernel)	10	0.9944	[23]
3	Semi-supervised gene selection	Spectral Biclustering	1	0.9870	[24]
4	t-test + class separability	Fuzzy neural network	2	0.9810	[25]
5	Univariate cox regression and Lasso penalized cox regression analysis	Kaplan–Meier	12	0.9311	[26]
6	Resampling + SAM	K nearest neighbor	10	0.93	[27]
7	Meta Threshold Gradient Descent Regularization	Logistic regression	34	0.8400	[28]