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Journal of Spectroscopy
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Journal of Spectroscopy
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2019
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Article
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Tab 4
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Research Article
Rapid Identification and Quality Evaluation of Medicinal Centipedes in China Using Near-Infrared Spectroscopy Integrated with Support Vector Machine Algorithm
Table 4
Comparison on PCA-SVC models established with different NPCs.
Model number
NPC
C
Accuracy rate (%)
3-fold cross-validation
Calibration set
Prediction set
SVC-5
1
64
4.29497
10
9
59.5238
80.9524
63.6364
SVC-6
2
3.35544
10
7
32768
66.6667
71.4286
68.1818
SVC-7
3
4.1943
10
6
262144
66.6667
85.7143
81.8182
SVC-8
4
2521.38
1.27148
10
7
71.4286
90.4762
77.2727
SVC-9
5
23170.5
3.65135
10
6
73.8095
97.6190
72.7273
SVC-10
6
26615.9
794672
73.8095
90.4762
77.2727
SVC-11
7
26615.9
1.2045
10
6
78.5714
97.6190
81.8182
SVC-12
8
5.93164
10
6
5792.62
83.3333
100
81.8182
SVC-13
9
131072
262144
80.9524
100
81.8182
SVC-14
10
1.04858
10
6
65536
80.9524
100
77.2727