|
pairwise comparison of predictions made by FAM and SVM for 369 GO functions in 4 cross-validation experiments. For each of the 369 GO functions, the performance of FAM and SVM are compared. "Win," "Tie" and "Lose" refer to the number of GO functions for which FAM's predictions are better than, tied with, or worse than that of SVM, respectively. The last row, denoted by "ACV," compares FAM and SVM using performance metrics which are averaged over the 4 cross-validation folds. As expected, this gives rise to fewer ties. |
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| CV Fold |
Sensitivity10% |
Specificity10% |
AUC |
||||||
| Win |
Tie |
Lose |
Win |
Tie |
Lose |
Win |
Tie |
Lose |
|
|
|
|||||||||
| 1 |
106 |
168 |
95 |
107 |
167 |
95 |
193 |
2 |
174 |
| 2 |
87 |
181 |
101 |
88 |
183 |
98 |
177 |
1 |
191 |
| 3 |
104 |
171 |
94 |
109 |
166 |
94 |
186 |
3 |
180 |
| 4 |
90 |
193 |
86 |
92 |
192 |
85 |
199 |
6 |
164 |
| ACV |
184 |
36 |
146 |
194 |
34 |
141 |
201 |
0 |
168 |
Kustra et al. BMC Bioinformatics 2006 7:216 doi:10.1186/1471-2105-7-216 |
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