Research Article
Prediction of Banks Efficiency Using Feature Selection Method: Comparison between Selected Machine Learning Models
Table 4
Summary of Islamic banks’ efficiency model.
| | Model | Unstandardized coefficients | Standardized coefficients | t | Sig. | Collinearity statistics | B | Std. error | Beta | Tolerance | VIF |
| (Constant) | 67.811 | 3.194 | | 21.232 | 0.000 | | | | −0.001 | 0.000 | −1.164 | −11.564 | 0.000 | 0.219 | 4.565 | | −6.960 | 1.391 | −0.258 | −5.002 | 0.000 | 0.835 | 1.197 | | 5.690 | 1.317 | 0.481 | 4.322 | 0.001 | 0.179 | 5.572 | | −361.090 | 133.126 | −0.182 | −2.712 | 0.016 | 0.493 | 2.029 | R2 | | 0.967 | Adjusted R2 | 0.958 | Sig. F change | 0.000 |
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Note: Significant at the level of 1% and significant at the level of 5%. |