Table 4 Classification errors of the random forest algorithm when using different genomic features
From: Information assessment on predicting protein-protein interactions
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% |