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. 2019 Aug;20(5):389–399. doi: 10.2174/1389202919666191014091250

Table 3. A comparison of eight features performance in the training data.

% ACC MCC SN SP Precision Recall
1 GO 82.18 64.39 83.29 81.08 81.52 83.29
2 Pfam 87.35 75.01 82.88 91.83 91.03 82.88
3 Smart 72.62 50.45 50.49 94.75 90.59 50.49
4 PROSITE 78.69 60.24 63.50 93.89 91.23 63.50
5 SUPFAM 75.01 52.30 60.43 89.59 85.34 60.43
6 InterPro 88.42 76.91 86.25 90.59 90.16 86.25
7 PRINTS 70.07 49.06 41.31 98.83 97.24 41.31
8 SL 79.64 59.49 76.00 83.28 82.02 76.00
9 PSSM 86.19 72.40 87.34 85.04 85.37 87.34
Feature(1-8) 89.74 79.53 87.85 91.63 91.30 87.85
Feature(1-9) 90.13 80.34 87.99 92.28 91.93 87.99

Note: The abbreviations in the table are: Accuracy (ACC), Matthews Correlation Coefficient (MCC),

Sensitivity (SN) and Specificity (SP). “Feature(1-8)” indicates that the first 8 features were applied, and “Feature(1-9)” means that all features were applied.