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The prediction performance of the RF model based on various features. The prediction system was evaluated by nested cross-validation and the threshold for sample classification is 1/6
| Features | ACC±SD(%) | SE±SD(%) | PR±SD(%) | SP±SD(%) | MCC |
|---|---|---|---|---|---|
| A | 88.93±0.19 | 76.29±1.40 | 63.39±0.79 | 91.46±0.22 | 0.633 |
| A+B | 89.69±0.41 | 76.58±1.94 | 66.51±1.28 | 92.31±0.35 | 0.652 |
| A+C | 90.46±0.44 | 75.64±0.65 | 69.63±2.36 | 93.41±0.59 | 0.668 |
| A+B+C | 91.41±0.49 | 76.57±1.69 | 73.16±2.78 | 94.38±0.76 | 0.70 |
A: PSSMs; B: SS; C: OBVs of amino acids.
