Research Article
Integrated Feature Selection of ARIMA with Computational Intelligence Approaches for Food Crop Price Prediction
Table 9
The results of MARS1 for wheat price forecasting.
| Variable selection results | BF | Coefficient | Variable | Relative importance (%) |
| Intercept | | | 360.973 | | 100.0 | BF1 = Max (0, yt−12 − 321.18) | 0.765 | BF2 = Max (0, 321.81 − yt−12) | −1.272 | | 7.2 | BF3 = Max (0, yt−6 − 178.32) | −0.185 | BF4 = Max (0, 178.32 − yt−6) | 0.298 | | 3.2 | BF5 = Max (0, yt−11 − 269.03) | −0.218 |
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