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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%