Table 6.
Results of Feature Selection for H_990 and H_200 Datasets Using Several Kinds of Features from iLearn and BioSeq-Analysis 2.0
| Feature Subset | H_990 |
H_220 |
||||||
|---|---|---|---|---|---|---|---|---|
| Acc | MCC | Sn | Sp | Acc | MCC | Sn | Sp | |
| BE | 60.10 | 0.20 | 58.79 | 61.41 | 66.50 | 0.33 | 64.00 | 69.00 |
| Mismatch (3) | 60.81 | 0.22 | 57.37 | 64.24 | 59.50 | 0.19 | 58.00 | 61.00 |
| EIIP | 57.37 | 0.15 | 54.55 | 60.20 | 58.00 | 0.16 | 56.00 | 60.00 |
| PseEIIP | 58.99 | 0.18 | 54.75 | 63.23 | 58.00 | 0.16 | 55.00 | 61.00 |
| BE | 60.10 | 0.20 | 58.79 | 61.41 | 66.50 | 0.33 | 64.00 | 69.00 |
| BPB+Kmer(3)+EIIPa | 63.33 | 0.27 | 62.63 | 64.04 | 75.00 | 0.51 | 81.00 | 69.00 |
| BPB+Kmer(3)+PseEIIP | 63.13 | 0.26 | 61.01 | 65.25 | 70.50 | 0.43 | 82.00 | 59.00 |
| BPB+Kmer(3)+BE | 60.91 | 0.22 | 58.99 | 62.83 | 68.00 | 0.36 | 69.00 | 67.00 |
| BPB+Kmer(3)+mismatch(3) | 61.11 | 0.22 | 56.77 | 65.45 | 60.20 | 0.20 | 61.00 | 59.41 |
| BPB+Kmer(3)+EIIP+mismatch(3) | 61.21 | 0.23 | 56.97 | 65.45 | 60.20 | 0.20 | 61.00 | 59.41 |
a
All values in this row indicate performance with maximum accuracy.