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Table 8 Accuracy of N-feature model classifier. The optimum classification accuracy, the mean classification accuracy and the standard deviation for the N-feature classifier (N<11).

From: Classification between normal and tumor tissues based on the pair-wise gene expression ratio

Colon cancer–Original expression data Colon cancer–Transformed expression data
Order or classifier Optimum Accuracy* / % Mean Accuracy* / % Standard Deviation Order or classifier Optimum Accuracy* / % Mean Accuracy* / % Standard Deviation
1 87.10% 76.77% 4.17% 1 93.55% 91.24% 1.22%
2 91.94% 83.33% 4.38% 2 98.39% 95.00% 1.95%
3 95.16% 87.07% 4.06% 3 98.39% 96.47% 1.53%
4 95.16% 89.37% 3.58% 4 98.39% 97.20% 1.23%
5 95.16% 90.88% 3.10% 5 98.39% 97.60% 0.99%
6 95.16% 91.94% 2.70% 6 98.39% 97.84% 0.83%
7 95.16% 92.72% 2.38% 7 98.39% 98.00% 0.70%
8 95.16% 93.31% 2.09% 8 98.39% 98.12% 0.60%
9 95.16% 93.78% 1.83% 9 98.39% 98.21% 0.50%
10 95.16% 94.15% 1.57% 10 98.39% 98.28% 0.40%
Prostate cancer–Original expression data Prostate cancer–Transformed expression data
Order or classifier Optimum Accuracy* / % Mean Accuracy* / % Standard Deviation Order or classifier Optimum Accuracy* / % Mean Accuracy* / % Standard Deviation
1 86.27% 75.82% 4.31% 1 84.62% 81.92% 2.28%
2 100.00% 91.27% 7.89% 2 98.39% 90.84% 4.18%
3 100.00% 95.98% 5.53% 3 100.00% 93.64% 3.40%
4 100.00% 97.91% 3.87% 4 100.00% 95.00% 2.94%
5 100.00% 98.86% 2.76% 5 100.00% 95.90% 2.68%
6 100.00% 99.38% 1.98% 6 100.00% 96.59% 2.51%
7 100.00% 99.67% 1.41% 7 100.00% 97.16% 2.36%
8 100.00% 99.83% 0.99% 8 100.00% 97.66% 2.23%
9 100.00% 99.90% 0.67% 9 100.00% 98.10% 2.09%
10 100.00% 99.96% 0.43% 10 100.00% 98.49% 1.94%