Table 13.
List of abbreviations
| SN | Acronyms | Full form | SN | Acronyms | Full form |
|---|---|---|---|---|---|
| 1 | LR | Logistic regression | 25 | FST | Feature selection technique |
| 2 | DM | Diabetes mellitus | 26 | PT | Protocol types |
| 3 | OR | Odds ratio | 27 | mRMR | Minimum redundancy maximum relevance |
| 4 | NB | Naïve Bayes | 28 | LDA | Linear discriminant analysis |
| 5 | AB | Adaboost | 29 | QDA | Quadratic discriminant analysis |
| 6 | RF | Random forest | 30 | GPC | Gaussian process classification |
| 7 | DT | Decision tree | 31 | SVM | Support vector machine |
| 8 | ACC | Accuracy | 32 | NN | Neural network |
| 9 | SE | Sensitivity | 33 | KNN | K-nearest neighborhood |
| 10 | PPV | Positive predictive value. | 34 | GB | Gradient boosting |
| 11 | NPV | Negative predictive value | 35 | G | Generalization |
| 12 | FM | F-Measure | 36 | M | Memorization |
| 13 | AUC | Area under the curve | 37 | JK | Jackknife protocol |
| 14 | CI | Confidence interval | 38 | K2 | Two-fold cross-validation protocol |
| 15 | ML | Machine learning | 39 | K4 | Fourfold cross-validation protocol |
| 16 | SD | Standard deviation | 40 | K5 | Fivefold cross-validation protocol |
| 17 | MI | Mutual information | 41 | K10 | Tenfold cross-validation protocol |
| 18 | PCA | Principal component analysis | 42 | PID | Pima Indian diabetes |
| 19 | ANOVA | Analysis of variance | 43 | MLP | Multilayer perceptron |
| 20 | FDR | Fisher discriminant ratio | 44 | p-value | Probability value |
| 21 | Tr. | Training | 45 | DS | Data size |
| 22 | EM | Expectation maximization | 46 | DL | Deep learning |
| 23 | FKM | Fuzzy K-means | 47 | SVD | Singular value decomposition |
| 24 | NHANES | National Health and Nutrition Examination Survey |