Table 3 Sulfanilamides. Comparative analysis of the efficiency of solving the problem of image recognition of the sulfonamide descriptor database
Performance | Naive Bayes | Logistic Regression | Decision Tree | Random Forest | Support Vector Machine |
|---|---|---|---|---|---|
Accuracy | 56.9% | 56.4% | 52.2% | 54.4% | 61.4% |
Classification Error | 43.1% | 43.6% | 47.8% | 45.6% | 38.6% |
AUC | 0.586 | 0.574 | 0.539 | 0.552 | 0.627 |
Precision | 55.5% | 56.4% | 51.7% | 53.3% | 61.0% |
Sensitivity | 59.6% | 58.9% | 94.0% | 82.9% | 70.8% |
Specificity | 53.2% | 54.8% | 8.8% | 24.8% | 53.1% |
Total Time | 17 s | 1 min 49 s | 46 s | 6 min 27 s | 2 min 26 s |
Training time | 2 ms | 59 ms | 21 ms | 241 ms | 50 ms |
Scoring time | 69 ms | 6 ms | 6 ms | 78 ms | 75 ms |