Table 5 Naming conventions.
Abbreviation | Corresponding name | Abbreviation | Corresponding name |
|---|---|---|---|
AG1 | Variance | SIGF | Significant Features |
AG2 | Arithmetic Mean | INFG | Information Gain Attribute Ranking |
AG3 | Skewness | GNR | Gain Ratio Ranking |
AG4 | Minimum | OneR | OneR attribute evaluation |
AG5 | Median | PCA | Principal Component Analysis |
AG6 | Quartile1(25\(\%\)) | CORR | Correlation Coefficient Analysis |
AG7 | Theli Index | CFS | Classifier subset Evaluator |
AG8 | Standard Deviation | GA | Genetic Algorithm |
AG9 | Quartile3(75\(\%\)) | ELM | Extreme learning machine |
AG10 | Generalized Entropy | WELM | Weighted extreme learning machine |
AG11 | Maximum | SVC-LIN | Support Vector Classifier with linear Kernel |
AG12 | Gini Index | DL | Deep Learning |
AG13 | kurtosis | MLP-ADA | MLP with stochastic gradient-based optimizer proposed by Kingma |
AG14 | Hoover Index | DL-1 | Deep Learning with 1 hidden Layer |
AG15 | Atkinson Index | GraB | Gradient Boosting Classifier |
AG16 | Shannon Entropy | EXTR | Extra Trees Classifier |
AdaB | AdaBoost Classifier | FGWS | Fine-Grained anti-pattern |
CSW | Chatty anti-pattern | RF | Random Forest Classifier |
GOWS | God Object anti-pattern | BAG | Bagging Classifier |
DWS | Data anti-pattern | MLP-SG | MLP with stochastic gradient descent. |
AWS | Ambiguous Anti-pattern | LSSVM | Least square SVM |
GNB | Gaussian Naive Bayes | ADASYN | Adaptive Synthetic Sampling Technique |
BNB | Bernoulli Naive Bayes | SMOTE | Synthetic Minority Oversampling Technique |
MNB | Multinomial Naive Bayes | SVMSMOTE | Support Vector Machine SMOTE |
BLSMOTE | Borderline SMOTE | SVC-POLY | SVC with the polynomial kernel |
UPSAM | UP sampling Technique | SVC-RBF | SVC with radial bias kernel |
KDD | Knowledge Data Discovery | LOGR | Logistic Regression Analysis |
FS | Feature Selection | MLP | Multi-layer Perceptron classifier |
DT | Decision Tree | MLP-LNF | MLP with quasi-Newton methods |
