Table 13 |
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|
Performance of BioHEL on learning CN and RSA using the reduced PSSM representation |
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|
Dataset |
Representation |
Accuracy |
#Rules |
#expr. atts. |
Run-time(h) |
|
|
|||||
|
CN |
PSSM |
81.4 ± 0.4 |
269.5 ± 12.7 |
14.4 ± 3.1 |
31.4 ± 2.9 |
|
Reduced PSSM |
80.8 ± 0.3 |
256.0 ± 12.1 |
12.9 ± 2.7 |
19.4 ± 1.7 |
|
|
|
|||||
|
SA |
PSSM |
78.5 ± 0.4 |
520.4 ± 15.3 |
13.9 ± 3.5 |
54.3 ± 4.2 |
|
Reduced PSSM |
77.6 ± 0.4 |
493.5 ± 14.9 |
12.9 ± 3.3 |
34.3 ± 3.0 |
|
|
|
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|
Bacardit et al. BMC Bioinformatics 2009 10:6 doi:10.1186/1471-2105-10-6 |
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