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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