Table 4 A comparison of machine learning techniques with traditional techniques based on their execution time for different pattern lengths in DNA sequences
From: Optimizing classification efficiency with machine learning techniques for pattern matching
No | Algorithms | Pattern Length | ||||
|---|---|---|---|---|---|---|
5 | 10 | 15 | 20 | 25 | ||
1 | FLPM | 0.0045 | 0.0025 | 0.0025 | 0.0026 | 0.0018 |
2 | PAPM | 0.0054 | 0.0018 | 0.0022 | 0.0025 | 0.0024 |
3 | EFLPM | 0.0035 | 0.0018 | 0.0019 | 0.0020 | 0.0012 |
4 | EPAPM | 0.0044 | 0.0011 | 0.0017 | 0.0013 | 0.0015 |
5 | SVM Linear | 0.0035 | 0.0020 | 0.0019 | 0.0015 | 0.0012 |