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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