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Machine learning using multiple logistic regression for antimicrobial and hemolytic peptides prediction and their identification in large proteins
Table 1 - Sizes of sets used in ML for hemolytic activity prediction
Set | Split | Number of peptides |
Hemolytic (390) | Training set: 80% | 312 |
Test set: 20% | 78 | |
Non-hemolytic (390) | Training set: 80% | 312 |
Test set: 20% | 78 | |
| Training set: 80% (624) Test set: 20% (156) | Sum: 780 |