Research Article
An Approach for Demand Forecasting in Steel Industries Using Ensemble Learning
Table 8
Wilcoxon signed rank test statistic (W) (lower tail) and
value for APE comparisons.
| Model1 vs Model2 | W | | Model1 vs. Model2 | W | | Model1 vs. Model2 | W | |
| STACK1 vs STACK2 | 3794 | >0.05 | STACK2 vs RFR | 2947 | <0.05 | GBR vs RFR | 3740 | >0.05 | STACK1 vs XGBR | 4085 | >0.05 | STACK2 vs MLP | 2882 | <0.05 | GBR vs MLP | 3374 | >0.05 | STACK1 vs GBR | 3383 | >0.05 | STACK2 vs ELM | 2270 | <0.05 | GBR vs ELM | 2897 | <0.05 | STACK1 vs RFR | 3057 | <0.05 | STACK2 vs SVR | 1901 | <0.05 | GBR vs SVR | 2392 | <0.05 | STACK1 vs MLP | 2856 | <0.05 | XGBR vs GBR | 3814 | >0.05 | RFR vs MLP | 3857 | >0.05 | STACK1 vs ELM | 2213 | <0.05 | XGBR vs RFR | 3462 | >0.05 | RFR vs ELM | 3048 | <0.05 | STACK1 vs SVR | 1843 | <0.05 | XGBR vs MLP | 3144 | <0.05 | RFR vs SVR | 2372 | <0.05 | STACK2 vs XGBR | 4023 | >0.05 | XGBR vs ELM | 2720 | <0.05 | MLP vs ELM | 3222 | <0.05 | STACK2 vs GBR | 3333 | >0.05 | XGBR vs SVR | 1957 | <0.05 | MLP vs SVR | 2593 | <0.05 | | | | | | | ELM vs SVR | 3657 | >0.05 |
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