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Table 2 The error analysis of the price forecasting of watermelon

From: A new method of large-scale short-term forecasting of agricultural commodity prices: illustrated by the case of agricultural markets in Beijing

The market

Dayanglu Agricultural and Sideline Products Wholesale Market, Chaoyang District, Beijing

Xinfadi Agricultural Wholesale Market, Fengtai District, Beijing

MSE

MAE

MSE

MAE

AR model

5.870

2.142

6.033

2.246

Grey prediction model

0.453

0.360

0.358

0.530

Garch model

0.453

0.360

1.269

1.725

Time model

0.270

0.377

0.407

0.503

Space model

0.363

0.429

0.169

0.335

Mixed model

0.209

0.355

0.346

0.464

Warning model

0.478

0.485

0.196

0.197

The market

Dayanglu Agricultural and Sideline Products Wholesale Market, Chaoyang District, Beijing

Xinfadi Agricultural Wholesale Market, Fengtai District, Beijing

MSE

MAE

MSE

MAE

AR model

4.773

1.892

7.297

2.374

Grey prediction model

0.449

0.284

0.537

0.489

Garch model

1.165

1.810

2.060

1.265

Time model

0.374

0.343

0.537

0.489

Space model

0.393

0.280

0.558

0.527

Mixed model

0.354

0.308

0.499

0.472

Warning model

0.104

0.101

0.127

0.127