Table 1 Summary of machine learning algorithm performance
From: A machine learning-based service for estimating quality of genomes using PATRIC
Algorithm | Parameters | Training Time (s/role) | Roles >93% Accuracy | Avg. Accuracy (%) |
|---|---|---|---|---|
Linear Discriminant Analysis | Default | 3.51 | 785 | 87.4 |
Logistic Regression | Optimized | 9.16 | 1081 | 91.4 |
Random Forest Regressor | Optimized | 1.35 | 1299 | 92.7 |
ExtraTrees Classifier | Optimized | 0.89 | 1405 | 93.4 |
XGBoost | Optimized | 7.40 | 1417 | 93.6 |
Random Forest Classifier | Optimized | 1.01 | 1423 | 93.5 |