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. 2024 Apr 20;8:100742. doi: 10.1016/j.crfs.2024.100742

Table 2.

Classification performance of machine learning classifiers.

Accuracy (%) Decision tree Random forest K-nearest neighbor
Fatty acid composition 0.975 ± 0.023 0.992 ± 0.019 0.992 ± 0.019
Hyperspectral images 0.989 ± 0.006 0.999 ± 0.000 0.990 ± 0.001
F1-score
Decision tree
Random forest
K-nearest neighbor
Fatty acid composition 0.979 ± 0.022 0.992 ± 0.017 0.992 ± 0.017
Hyperspectral images 0.989 ± 0.006 0.999 ± 0.000 0.990 ± 0.001