|
Performance of the three machine-learning classifiers on the TF & NonPF and TF & PPI datasets using 5-fold cross-validation (GM = generic model; BM = biological model) |
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| SVM |
NB |
ME |
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|
|
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| P |
R |
F |
P |
R |
F |
P |
R |
F |
||
|
|
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| TF & NonPF |
GM |
.9342 |
.9104 |
.9222 |
.9413 |
.9744 |
.9576 |
.9638 |
.9042 |
.9330 |
| BM |
.9421 |
.9343 |
.9380 |
.9434 |
.9726 |
.9578 |
.9591 |
.9351 |
.9470 |
|
| TF & PPI |
GM |
.8938 |
.9463 |
.9193 |
.8767 |
.9268 |
.9010 |
.8685 |
.9554 |
.9099 |
| BM |
.9092 |
.9367 |
.9227 |
.8892 |
.9268 |
.9076 |
.8974 |
.9524 |
.9241 |
|
Yang et al. BMC Bioinformatics 2008 9(Suppl 3):S11 doi:10.1186/1471-2105-9-S3-S11 |
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