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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%