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 resultsBFCoefficient
VariableRelative importance (%)

Intercept360.973
100.0BF1 = Max (0, yt−12 − 321.18)0.765
BF2 = Max (0, 321.81 − yt−12)−1.272
7.2BF3 = Max (0, yt−6 − 178.32)−0.185
BF4 = Max (0, 178.32 − yt−6)0.298
3.2BF5 = Max (0, yt−11 − 269.03)−0.218