Table 1 |
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|
Performance of the classifier depending on the SVM classification thresholds applied using all kinase groups |
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|
SVM threshold |
Accuracy (%) |
Precision (%) |
Recall (%) |
F-score |
MCC |
|
|
|||||
|
-1.00 |
74.3 |
46.5 |
89.1 |
61.1 |
0.6 |
|
-0.75 |
80.9 |
56.1 |
79.8 |
65.9 |
0.6 |
|
-0.5 |
83.3 |
60.0 |
75.2 |
66.7 |
0.6 |
|
-0.25 |
80.6 |
60.0 |
66.1 |
62.9 |
0.5 |
|
0.00 |
82.3 |
58.6 |
47.2 |
52.3 |
0.4 |
|
|
|||||
|
Performance of the classifier depending on the SVM classification thresholds applied using all kinase groups. |
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|
Izarzugaza et al. BMC Genomics 2012 13(Suppl 4):S3 doi:10.1186/1471-2164-13-S4-S3 |
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