Table 4 Sulfanilamides. Comparative analysis of the efficiency of solving the problem of image recognition of the optimal database of sulfonamide descriptors
Performance | Naive Bayes | Logistic Regression | Decision Tree | Random Forest | Support Vector Machine |
|---|---|---|---|---|---|
Accuracy | 69.6% | 89.4% | 91.8% | 95.5% | 93.7% |
Classification Error | 30.4% | 10.6% | 8.2% | 4.5% | 6.3% |
AUC | 0.494 | 0.955 | 0.918 | 0.983 | 0.972 |
Precision | 62.2% | 84.4% | 94.5% | 95.6% | 93.6% |
Sensitivity | 99% | 95.6% | 88.7% | 95.6% | 93.6% |
Specificity | 40.7% | 83.4% | 94.9% | 95.4% | 93.8% |
Total Time | 2 s | 2 s | 2 s | 23 s | 58 s |
Training time | 2 ms | 189 ms | 7 ms | 157 ms | 94 ms |
Scoring time | 4 ms | 2 ms | 2 ms | 26 ms | 122 ms |