Research Article
Prediction of Banks Efficiency Using Feature Selection Method: Comparison between Selected Machine Learning Models
Table 7
Results of the testing data set with and without feature selection model.
| | R2 | MSE | MAE | MBE | RMSE |
| SVM | 0.974 | 2.835 | 1.279 | −0.300 | 1.684 | CHAID | 0.983 | 2.635 | 1.381 | 0.021 | 1.623 | Linear | 0.977 | 3.370 | 1.556 | −0.755 | 1.836 | NN | 0.890 | 11.831 | 2.755 | −0.781 | 3.440 | FS_ٍSVM | 0.963 | 3.916 | 1.634 | 0.325 | 1.979 | FS_CHAID | 0.985 | 2.151 | 1.274 | −0.086 | 1.467 | FS_Linear | 0.977 | 3.370 | 1.556 | −0.755 | 1.836 | FS_NN | 0.977 | 3.843 | 1.595 | 0.095 | 1.960 |
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