Table 10 Sensitivity analysis using best fit model.
Combination of input variables | Removed variable | CC | MAE | RMSE |
|---|---|---|---|---|
\({{\text{E}}}_{20}\)= \({\text{f}}\) (\({{\text{HR}}}_{{{\text{J}}}_{{\text{n}}}}\),θ, \({{\text{J}}}_{{\text{n}}}\), \(Fr\), \({\text{Q}}\)) | – | 0.9823 | 0.0098 | 0.0123 |
\({{\text{E}}}_{20}\)= \({\text{f}}\) (\({{\text{HR}}}_{{{\text{J}}}_{{\text{n}}}},{{\text{J}}}_{{\text{n}}}\), \(Fr\), \({\text{Q}}\)) | \(\uptheta\) | 0.8403 | 0.0315 | 0.0351 |
\({{\text{E}}}_{20}\)= \({\text{f}}\)(\({{\text{HR}}}_{{{\text{J}}}_{{\text{n}}}}\), θ, \({{\text{J}}}_{{\text{n}}}\),\({\text{Q}}\)) | \(Fr\) | 0.9751 | 0.0132 | 0.0164 |
\({{\text{E}}}_{20}\)= \({\text{f}}\)(\({{\text{HR}}}_{{{\text{J}}}_{{\text{n}}}}\), θ, \(Fr\),\({\text{Q}}\)) | \({{\text{J}}}_{{\text{n}}}\) | 0.9779 | 0.0102 | 0.0131 |
\({{\text{E}}}_{20}\)= \({\text{f}}\) (θ, \({{\text{J}}}_{{\text{n}}}\), \(Fr\), \({\text{Q}}\)) | \({{\text{HR}}}_{{{\text{J}}}_{{\text{n}}}}\) | 0.9786 | 0.0116 | 0.0134 |
\({{\text{E}}}_{20}\)= \({\text{f}}\) (\({{\text{HR}}}_{{{\text{J}}}_{{\text{n}}}}\), θ,\({{\text{J}}}_{{\text{n}}}\), \(Fr\)) | \({\text{Q}}\) | 0.979 | 0.0107 | 0.0132 |