Name
Title | ||
|---|---|---|
Performance measures in evaluating machine learning based bioinformatics predictors for classifications |
Abstract | ||
|---|---|---|
Many existing bioinformatics predictors are based on machine learning technology. When applying these predictors in practical studies, their predictive performances should be well understood. Different performance measures are applied in various studies as well as different evaluation methods. Even for the same performance measure, different terms, nomenclatures or notations may appear in different context. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1007/s40484-016-0081-2 | Quantitative Biology |
Keywords | DocType | Volume |
machine learning, performance measures, evaluation methods | Journal | 4 |
Issue | ISSN | Citations |
4 | 2095-4697 | 4 |
PageRank | References | Authors |
0.44 | 13 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yasen Jiao | 1 | 4 | 0.44 |
| Pufeng Du | 2 | 81 | 5.80 |