|
Function
|
# Textless Proteins
|
Text-KNN (Textless)
|
Text-KNN (Cross-validation)
|
|---|
| | |
P
|
R
|
F
|
P
|
R
|
F
|
|---|
|
GO:0005488
|
58
|
0.82
|
0.47
|
0.59
|
0.65
|
0.88
|
0.75
|
|
GO:0003824
|
9
|
0.29
|
0.56
|
0.38
|
0.52
|
0.23
|
0.32
|
|
GO:0030528
|
1
|
0.04
|
1.00
|
0.08
|
0.44
|
0.24
|
0.31
|
|
GO:0005215
|
5
|
0.50
|
0.20
|
0.29
|
0.59
|
0.38
|
0.46
|
|
GO:0060089
|
7
|
0.44
|
0.57
|
0.50
|
0.39
|
0.16
|
0.22
|
|
GO:0005198
|
2
|
0.00
|
0.00
|
0.00
|
0.04
|
0.01
|
0.01
|
- Prediction performance of Text-KNN on proteins that have no associated text is shown in the Text-KNN (Textless) column. As a point of reference, the average cross-validation results, denoted as Text-KNN (Cross-Validation) as obtained over the whole cross-validation dataset, are shown for comparison only. The columns P, R, and F refer, respectively, to the Precision, Recall, and F-measure of the classifier over individual GO categories. A precision and recall values of 0 on a class indicates that all the proteins belonging to that class are misclassified into another class.
