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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