Research Article
Identifying Heat Shock Protein Families from Imbalanced Data by Using Combined Features
Table 3
The predictive results of individual features with the jackknife test by using SVM for HSP families.
| Features | HSP families | OA (%) | HSP20 | HSP40 | HSP60 | HSP70 | HSP90 | HSP100 |
| CTF | Sn (%) | 74.86 | 90.92 | 54.72 | 67.27 | 53.85 | 67.9 | 80.92 | Sp (%) | 95.07 | 76.19 | 98.71 | 96.48 | 99.86 | 99.52 | MCC | 0.7 | 0.68 | 0.63 | 0.66 | 0.69 | 0.75 | Acc (%) | 91.79 | 84.68 | 95.5 | 92.75 | 98.76 | 98.35 | SAAC | Sn (%) | 81.07 | 97.53 | 58.49 | 75.9 | 57.69 | 74.07 | 87.25 | Sp (%) | 97.7 | 81.06 | 99.36 | 98.26 | 100 | 99.48 | MCC | 0.81 | 0.81 | 0.7 | 0.78 | 0.76 | 0.78 | Acc (%) | 95 | 90.55 | 96.38 | 95.41 | 98.99 | 98.53 | DC | Sn (%) | 90.96 | 96.66 | 68.55 | 84.89 | 63.46 | 77.78 | 90.69 | Sp (%) | 96.66 | 90.69 | 99.11 | 98.16 | 100 | 99.86 | MCC | 0.85 | 0.88 | 0.75 | 0.84 | 0.79 | 0.86 | Acc (%) | 95.73 | 94.13 | 96.88 | 96.47 | 99.13 | 99.04 | PseACS | Sn (%) | 92.37 | 95.46 | 75.47 | 87.41 | 67.31 | 83.95 | 91.38 | Sp (%) | 99.01 | 89.94 | 98.71 | 98.16 | 99.91 | 99.33 | MCC | 0.92 | 0.86 | 0.77 | 0.86 | 0.79 | 0.83 | Acc (%) | 97.94 | 93.12 | 97.02 | 96.79 | 99.13 | 98.76 |
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