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Table 2 Average AUC for Sfull and S30 databases.

From: A discriminative method for family-based protein remote homology detection that combines inductive logic programming and propositional models

  Sfull S30
ILP-SVM-Seq 0.79 0.77
ILP-SVM-Aln cons 0.81 0.81
ILP-SVM-Aln ps 0.80 0.81
ILP-SVM-Seq-Aln cons 0.85 0.80
ILP-SVM-Aln cons -Aln ps 0.82 0.82
ILP-SVM-Seq-Aln cons -Aln ps 0.87 0.82
ILP-DT-Seq 0.67 0.65
ILP-DT-Aln cons 0.70 0.69
ILP-DT-Aln ps 0.68 0.67
ILP-DT-Seq-Aln cons 0.72 0.69
ILP-DT-Aln cons -Aln ps 0.71 0.71
ILP-DT-Seq-Aln cons -Aln ps 0.74 0.71
SVM-Ngram-LSA 0.79 0.77
SVM-LA 0.87 0.80
PSI-BLAST 0.75 0.69
HMMer-3.0 0.63 0.60