Table 2.
Multiple alignment | Multiple alignment and secondary structure | |||||||
Weka classifiers | Weka classifiers | |||||||
SNNS (first network) | Logistic regression | Naive Bayes | J48 classifier | SNNS (second network) | Logistic regression | Naive Bayes | J48 classifier | |
Qtotal | 76.6 ± 1.8 | 62.7 ± 1.8 | 59.0 ± 1.9 | 92.5 ± 0.2 | 74.0 ± 1.8 | 62.6 ± 1.8 | 57.4 ± 0.9 | 92.6 ± 0.2 |
(72.0 ± 2.0) | (62.8 ± 1.8) | (57.3 ± 1.3) | (92.3 ± 0.4) | |||||
Qpred | 5.1 ± 0.7 | 5.5 ± 0.7 | 5.1 ± 0.4 | 5.0 ± 1.1 | 6.3 ± 0.7 | 5.6 ± 0.7 | 5.0 ± 0.4 | 5.0 ± 1.2 |
(6.0 ± 0.7) | (5.4 ± 0.7) | (4.8 ± 1.0) | (5.1 ± 1.3) | |||||
Qobs | 58.6 ± 2.3 | 63.9 ± 3.0 | 65.3 ± 1.8 | 7.2 ± 0.9 | 83.2 ± 2.8 | 65.1 ± 2.9 | 65.4 ± 1.8 | 7.2 ± 0.9 |
(80.0 ± 2.4) | (65.1 ± 2.0) | (65.4 ± 2.0) | (7.4 ± 0.8) | |||||
MCC | 0.12 ± 0.01 | 0.10 ± 0.01 | 0.09 ± 0.01 | 0.02 ± 0.01 | 0.17 ± 0.01 | 0.12 ± 0.01 | 0.11 ± 0.01 | 0.03 ± 0.01 |
(0.16 ± 0.01) | (0.12 ± 0.01) | (0.11 ± 0.01) | (0.03 ± 0.01) |
Values in parentheses correspond to the prediction results obtained by excluding the proteins that were used to develop the PSIPRED method.