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Table 3 Training and test classification accuracies for SVMs, RFs and k-NN algorithms

From: Integration of RNA-Seq data with heterogeneous microarray data for breast cancer profiling

 

1 Gene

6 Genes

98 Genes

Training accuracy

Support vector machines

98.5%

100%

100%

Random forest

97.8%

99.2%

100%

k-Nearest neighbor

98.5%

99.2%

100%

Test accuracy

Support vector machines

86.5%

96.8%

97.6%

Random forest

82.3%

87.4%

97.4%

k-Nearest neighbor

84.4%

94.1%

94.9%