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Comparison of accuracy rate of various classification models with and without RFE in case 1.
| Without feature selection | RFE based feature selection using |
||||
|---|---|---|---|---|---|
| DT | SVM | RF | LR | ||
| ANN | 0.9034 | 0.9886 | 0.9489 | 0.8977 | 0.9318 |
| RF | 0.9572 | 0.8859 | 0.9772 | 0.9743 | 0.9829 |
| SVM | 1 | 1 | 1 | 1 | 1 |
Abbreviations: DT, decision tree; SVM, support vector machine; RF, random forest; LR, logistic regression; ANN, artificial neural network; RFE, recursive feature elimination.
