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Table 2 Random features required for ε and p

From: Win percentage: a novel measure for assessing the suitability of machine classifiers for biological problems

N

ε

p

ε

p

1

0.001

0.999

1 × 10-6

1.000

10

0.001

0.499

1 × 10-6

0.749

100

0.001

0.0667

1 × 10-6

0.129

1K

0.001

0.00688

1 × 10-6

0.0137

10K

0.001

0.000691

1 × 10-6

0.00138

>10K

0.001

≈ 6.91/N

1 × 10-6

≈ 13.8/N

  1. The fraction of top feature sets, p, gets smaller as N increases. For p near zero, p ≈ -(ln ε)/N corresponding to the last column of the table.
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BMC Bioinformatics

ISSN: 1471-2105

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