Table 1 Experimental results on the RNA-protein sequence data set. Experimental results with Naive Bayes (NB) and Logistic Regression (LR) models, and Mixture of Experts (ME) models on the non-redundant RNA-protein sequence data set, where the identity cutoffs are 30% and 90%. The results are shown for default threshold θ = 0.5. ME-NB-global and ME-LR-global use NB and LR at the leaves and exploits the global sequence similarity to construct the hierarchical structure. ME-NB-local exploits the local sequence similarity to construct the hierarchical structure. ME-NB-random randomizes the global similarity matrix and constructs the hierarchical structure based on the randomized matrix.

0.58

0.25

0.31

0.35

0.75

0.58

0.30

0.33

0.40

0.77

0.61

0.27

0.34

0.38

0.77

0.61

0.32

0.36

0.42

0.78

0.62

0.25

0.33

0.35

0.76

0.61

0.30

0.34

0.40

0.77

0.59

0.24

0.31

0.35

0.75

0.59

0.30

0.33

0.40

0.77

0.62

0.18

0.28

0.29

0.76

0.63

0.23

0.31

0.34

0.77

0.60

0.23

0.31

0.34

0.77

0.61

0.27

0.33

0.38

0.78