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 resultsBFCoefficient
VariableRelative importance (%)

Intercept−13.665
100.0BF1 = Max (0, Zt−7 − 26.58)−1.105
63.3BF2 = 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
14.4BF5 = Max (0, Zt−1 + 10.65)−0.155