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Table 5 Accuracies for the empirical datasets [%]

From: Supervised DNA Barcodes species classification: analysis, comparisons and results

Dataset SVM Jrip J48 Naïve Bayes Average Standard deviation
Cypraeidae 94.32 86.93 91.76 93.18 91.55 2.82
Drosophila 98.28 94.83 91.38 96.55 95.26 2.55
Inga 89.83 88.14 88.14 91.53 89.41 1.41
Bats 100.00 100.00 98.15 100.00 99.54 0.80
Fishes 95.50 90.09 92.79 97.30 93.92 2.73
Birds 98.42 84.86 91.80 94.32 92.35 4.93
Fungi 80.00 50.00 60.00 70.00 65.00 11.20
Algae 100.00 60.00 60.00 100.00 80.00 20.00
  1. Results of the Weka supervised learning methods tested on empirical datasets show that SVM and Naïve Bayes outperform the other techniques in term of percentage of the correct species identification. The differences between SVM and the other algorithms result statistically significant (p-value ≤ 0.001), except for Naive Bayes (p-value > 0.05). The best performances are highlighted in bold for each dataset.