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Table 7 DWSVM model weighting coefficient selection

From: Research on data mining algorithm of logistics time series based on intelligent integrated network structure

w1 (w0 = 1)

G

F

Acc

TP

TN

1

0.8408

0.6234

83.78

1081

6239

2

0.8388

0.6204

83.28

1075

6207

3

0.8368

0.6174

82.78

1069

6175

4

0.8348

0.6144

82.28

1063

6143

5

0.8328

0.6114

81.78

1057

6111

6

0.8308

0.6084

81.28

1051

6079

7

0.8288

0.6054

80.78

1045

6047

8

0.8268

0.6024

80.28

1039

6015

9

0.8248

0.5994

79.78

1033

5983

10

0.8228

0.5964

79.28

1027

5951

11

0.8208

0.5934

78.78

1021

5919

12

0.8188

0.5904

78.28

1015

5887

13

0.8168

0.5874

77.78

1009

5855

14

0.8148

0.5844

77.28

1003

5823

15

0.8128

0.5814

76.78

997

5791

16

0.8108

0.5784

76.28

991

5759

17

0.8088

0.5754

75.78

985

5727

18

0.8068

0.5724

75.28

979

5695

19

0.8048

0.5694

74.78

973

5663

20

0.8028

0.5664

74.28

967

5631