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Official Journal of the Japan Wood Research Society

Table 1 Prediction accuracy using HS–GC–MS, DART–MS, and the SNF composed of HS–GC–MS and DART–MS data, respectively

From: Similarity network fusion for aggregating headspace GC–MS and direct analysis in real time–mass spectrometry data from solid samples to enhance species identification efficiency of high–temperature heated wood

Samples

Accuracy

HS–GC–MS data of wood chips

77.78%

DART–MS data of wood chips

66.67%

SNF composed of HS–GC–MS and DART–MS data

100.00%