Table 3 Comparison of machine learning classifiers.
From: Predicting host tropism of influenza A virus proteins using random forest
Classifier | Accuracy | Sensitivity | Specificity | AUC | MCC |
|---|---|---|---|---|---|
Random forest | 98.58 | 0.978 | 0.994 | 0.996 | 0.972 |
Naïve Bayes | 96.42 | 0.942 | 0.988 | 0.970 | 0.930 |
kNN | 98.24 | 0.982 | 0.983 | 0.983 | 0.965 |
SVM | 97.38 | 0.953 | 0.996 | 0.974 | 0.948 |
ANN | 98.40 | 0.977 | 0.991 | 0.993 | 0.968 |