|
Comparison of different hybrid approaches using cross-validation for the benchmark data sets. |
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| PS1302 |
||||||
|
|
||||||
| Localization |
PSL101 |
PSLseq+PSL101 |
PSLsse+PSL101 |
|||
|
|
|
|
||||
| Acc (%) |
MCC |
Acc (%) |
MCC |
Acc (%) |
MCC |
|
|
|
||||||
| CP |
97.2 (94.8) |
0.91 (0.89) |
96.4 (94.4) |
0.90 (0.89) |
95.6 (94.4) |
0.90 (0.90) |
| IM |
94.4 (92.9) |
0.95 (0.94) |
93.3 (91.8) |
0.95 (0.93) |
93.3 (91.8) |
0.94 (0.93) |
| PP |
87.7 (88.1) |
0.86 (0.84) |
88.9 (88.9) |
0.86 (0.85) |
91.4 (91.0) |
0.88 (0.88) |
| OM |
94.3 (93.8) |
0.94 (0.91) |
95.5 (95.7) |
0.96 (0.93) |
96.3 (96.9) |
0.96 (0.95) |
| EC |
87.9 (83.2) |
0.87 (0.84) |
89.5 (85.8) |
0.89 (0.87) |
90.0 (87.9) |
0.89 (0.89) |
|
|
||||||
| Overall |
92.7 (91.2) |
- |
93.1 (91.9) |
- |
93.7 (92.9) |
- |
|
|
||||||
| PS1444 |
||||||
|
|
||||||
| Localization |
PSL101 |
PSLseq+PSL101 |
PSLsse+PSL101 |
|||
|
|
|
|
||||
| Acc (%) |
MCC |
Acc (%) |
MCC |
Acc (%) |
MCC |
|
|
|
||||||
| CP |
96.0 (94.2) |
0.91 (0.90) |
94.6 (92.8) |
0.89 (0.88) |
95.0 (93.5) |
0.91 (0.90) |
| IM |
94.5 (92.6) |
0.95 (0.94) |
93.5 (91.6) |
0.94 (0.93) |
93.5 (91.6) |
0.94 (0.93) |
| PP |
85.1 (88.0) |
0.82 (0.83) |
87.0 (88.4) |
0.84 (0.83) |
90.2 (91.7) |
0.86 (0.87) |
| OM |
94.9 (93.9) |
0.93 (0.91) |
95.9 (95.7) |
0.95 (0.93) |
96.7 (96.4) |
0.96 (0.95) |
| EC |
82.6 (83.2) |
0.83 (0.85) |
87.9 (86.3) |
0.87 (0.88) |
87.4 (87.9) |
0.87 (0.89) |
|
|
||||||
| Overall |
91.6 (91.1) |
- |
92.4 (91.6) |
- |
93.2 (92.8) |
- |
|
§ The performance of incorporating a three-way data split procedure is indicated in the parentheses. | ||||||
Su et al. BMC Bioinformatics 2007 8:330 doi:10.1186/1471-2105-8-330 |
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