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Table 3 Average accuracy (ACC) and Matthews correlation coefficient (MCC) for 100-fold MCCV model training using Homo sapiens (HSA) or Gorilla gorilla (GGO) as target class and Nematoda or Pisces as other class (sorted by HSA ACC). Results for HSA and GGO vs all Nematoda and Pisces are bolded

From: MicroRNA categorization using sequence motifs and k-mers

  Versus HSA ACC GGO ACC HSA MCC GGO MCC
Nematoda Caenorhabditis brenneri 0.94 0.96 0.88 0.93
Pristionchus pacificus 0.93 0.94 0.86 0.88
Panagrellus redivivus 0.93 0.96 0.86 0.92
Strongyloides ratti 0.91 0.95 0.82 0.90
Caenorhabditis remanei 0.89 0.87 0.78 0.75
Caenorhabditis briggsae 0.87 0.86 0.75 0.72
Ascaris suum 0.86 0.87 0.73 0.75
Haemonchus contortus 0.86 0.87 0.72 0.75
Caenorhabditis elegans 0.86 0.87 0.71 0.73
Brugia malayi 0.84 0.80 0.68 0.60
Nematoda 0.89 0.88 0.78 0.68
Pisces Salmo salar 0.92 0.97 0.84 0.94
Ictalurus punctatus 0.89 0.96 0.78 0.92
Paralichthys olivaceus 0.84 0.93 0.71 0.87
Oryzias latipes 0.83 0.77 0.67 0.56
Danio rerio 0.80 0.78 0.60 0.56
Fugu rubripes 0.77 0.79 0.55 0.59
Cyprinus carpio 0.76 0.77 0.53 0.53
Tetraodon nigroviridis 0.76 0.79 0.53 0.58
Hippoglossus hippoglossus 0.67 0.69 0.35 0.39
Pisces 0.84 0.83 0.68 0.57