Table 4 |
|||
|
Classification errors of the random forest algorithm when using different genomic features |
|||
|
Variables |
Err1 (positives) |
Err2 (negatives) |
Err |
|
|
|||
|
MIPS+GO |
114/2104 = 5.42% |
180/172409 = 0.1% |
2.76% |
|
ALL |
165/2104 = 7.80% |
89/172409 = 0.05% |
3.95% |
|
ELSE |
1056/2104 = 78.09% |
313/172409 = 0.20% |
25.20% |
|
|
|||
|
Lin et al. BMC Bioinformatics 2004 5:154 doi:10.1186/1471-2105-5-154 |
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