Research Article
PSO-LocBact: A Consensus Method for Optimizing Multiple Classifier Results for Predicting the Subcellular Localization of Bacterial Proteins
Table 3
Accuracy of various consensus methods on the test sets.
| Gram-negative bacterial proteins | Location: | Extracellular region (%) | Outer membrane (%) | Periplasm (%) | Inner membrane (%) | Cytoplasm (%) | Overall (%) |
| Single predictors (as shown in Table 2) | 0–100 | 0–100 | 1.16–88.37 | 0–100 | 0–100 | 20.23–97.44 | Consensus classifier: PSO-LocBact | 100 | 100 | 94.19 | 100 | 100 | 98.84 | Consensus classifier: majority voting | 97.67 | 100 | 95.35 | 100 | 98.84 | 98.37 | Consensus classifier: Naïve Bayes | 100 | 98.84 | 94.18 | 100 | 98.84 | 98.37 | Consensus classifier: logistic regression | 98.84 | 100 | 97.67 | 95.35 | 98.84 | 98.14 | Consensus classifier: average probability voting | 98.84 | 100 | 90.69 | 98.84 | 98.84 | 97.44 | Single predictor: FUEL-mLoc (2017) | 79.07 | 97.67 | 96.51 | 93.02 | 82.56 | 89.76 |
| Gram-positive bacterial proteins | Location: | Extracellular region (%) | Cell wall (%) | Inner membrane (%) | Cytoplasm (%) | Overall (%) | |
| Single predictors (as shown in Table 2) | 34.21–97.39 | 0–93.50 | 77.21–100 | 97.50–100 | 59.81–97.10 | | Consensus classifier: PSO-LocBact | 97.39 | 94.80 | 100 | 100 | 98.07 | | Consensus classifier: majority voting | 93.42 | 93.50 | 100 | 100 | 96.78 | | Consensus classifier: Naïve Bayes | 69.73 | 92.20 | 100 | 100 | 90.67 | | Consensus classifier: logistic regression | 89.47 | 100 | 100 | 100 | 97.43 | | Consensus classifier: average probability voting | 96.05 | 87.01 | 100 | 98.73 | 95.49 | | Single predictor: FUEL-mLoc (2017) | 86.84 | 81.82 | 100 | 100 | 92.28 | |
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