Research Article
The Virtual Screening of the Drug Protein with a Few Crystal Structures Based on the Adaboost-SVM
Table 2
Adaboost-SVM parameter setting.
| Parameter name | Parameter values |
| Ensemble learning type | Adaboost | Class number | 2 | The basic classifier type | C-SVM | Number of classifiers per layer | 100 | The max false alarm rate | 0.5 | The min hit rate | 0.9 | Number of iterations | 5 | Weight trim rate | 0.9 | Cache size | 500 MB |
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