Table 5 Q3 accuracy of each ensemble classifier on different proteins with different length in T100 dataset.
From: Protein Secondary Structure Prediction Based on Data Partition and Semi-Random Subspace Method
PSRSM1 | PSRSM2 | PSRSM3 | PSRSM4 | PSRSM5 | PSRSM6 | |
|---|---|---|---|---|---|---|
[1,100] | 79.84 | 63.11 | 62.75 | 63.40 | 62.89 | 64.13 |
(100,200] | 78.19 | 84.58 | 81.02 | 78.99 | 77.18 | 78.16 |
(200,300] | 74.39 | 78.14 | 87.59 | 78.99 | 75.95 | 75.15 |
(300,400] | 74.00 | 75.63 | 78.80 | 87.51 | 78.62 | 77.64 |
(400,500] | 74.23 | 76.69 | 77.09 | 80.81 | 83.24 | 77.06 |
L > 500 | 73.59 | 75.87 | 75.64 | 76.30 | 77.12 | 83.93 |
