Research Article
Optimal Modeling of Anti-Breast Cancer Candidate Drugs Based on Graph Model Feature Selection
Table 7
Accuracy comparison of ADMET property classification prediction model in two classification algorithms.
| | Accuracy | Recall | Precision | F1-score | PCA-SVM | MST-SVM | PCA-SVM | MST-SVM | PCA-SVM | MST-SVM | PCA-SVM | MST-SVM |
| Caco-2 | 0.8633 | 0.8127 | 0.9136 | 0.8580 | 0.7878 | 0.7916 | 0.8643 | 0.8141 | CYP3A4 | 0.8785 | 0.8734 | 0.9000 | 0.9379 | 0.9321 | 0.8947 | 0.8802 | 0.8704 | hERG | 0.8228 | 0.8025 | 0.8430 | 0.7713 | 0.8430 | 0.8643 | 0.8228 | 0.8034 | HOB | 0.7342 | 0.7392 | 0.0000 | 0.7381 | 0.0000 | 0.6667 | 0.6212 | 0.6420 | MN | 0.7722 | 0.7443 | 0.9966 | 1.0000 | 0.7670 | 0.7443 | 0.6990 | 0.6352 |
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