Table 2.
List of compared classification algorithms, their utilized abbreviation, and compatability with using weighted samples when training the individual model.
Classification Algorithm | Abbreviation | Weighted Samples? |
---|---|---|
AdaBoost Classifier | ABC | Yes |
Gaussian Naïve Bayes Classifier | GNB | Yes |
Gaussian Process Classifier | GPC | No |
Gradient Boosting Classifier | GBC | Yes |
K-Nearest Neighbours Classifier | KNN | No |
Linear Discriminant Analysis | LDA | No |
Logistic Regression Classifier | LRC | Yes |
Multi-layer Perceptron Classifier | MLPC | No |
Nearest Centroid Classifier | NCC | No |
Nu-Support Vector Classifier | NuSVC | Yes |
Quadratic Discriminant Analysis | QDA | No |
Random Forest Classifier | RFC | Yes |