Enhancing predictive performance for spectroscopic studies in wildlife science through a multi-model approach: A case study for species classification of live amphibians
Table 2
Confusion matrix of results for the support vector machine (i.e., the top-performing model) applied to the combined (anuran + caudate) dataset.
Bolded values indicate the number of accurately classified spectra and non-bolded values indicate the misclassified spectra in the test dataset, respectively. Dotted lines separate major taxonomic orders (Anura vs. Caudata) and reveal that most spectra misclassifications occur within more closely related species.