Research Article
Integrated Feature Selection of ARIMA with Computational Intelligence Approaches for Food Crop Price Prediction
Table 10
The results of ARIMA-MARS for wheat price forecasting.
| Variable selection results | BF | Coefficient | Variable | Relative importance (%) |
| Intercept | | | −13.665 | | 100.0 | BF1 = Max (0, Zt−7 − 26.58) | −1.105 | | 63.3 | BF2 = Max (0, Zt−13 + 26.91) | 8.333 | BF3 = Max (0, Zt−13 + 22.55) | −13.064 | BF4 = Max (0, Zt−13 + 17.56) | 4.955 | | 14.4 | BF5 = Max (0, Zt−1 + 10.65) | −0.155 |
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