Recognition of 27-Class Protein Folds by Adding the Interaction of Segments and Motif Information

Table 4

The previous identification results by an independent test from Ding and Dubchak’s dataset (%).

Author	Classifier	Accuracy
Ding and Dubchak [11]	SVM (All-Versus-All)	56.0
Chinnasamy et al. [12]	Tree-Augmented Naive Bayesian Classifier	58.2
Shen and Chou [21]	OET-KNN	62.1
Nanni [13]	Fusion of classifiers	61.1
Chen and Kurgan [22]	PFRES	68.4
Guo and Gao [14]	GAOEC	64.7
Damoulas and Girolami [15]	Multiclass multikernel	70.0
Zhang et al. [20]	Increment of diversity	61.1
Ghanty and Pal [23]	Fusion of different classifiers	68.6
Dong et al. [18]	ACCFold	70.1
Shen and Chou [24]	PFP-FunDSeqE	70.5
Yang et al. [25]	MarFold	71.7
Liu et al. [27]	SVM	69.8
Our work	Random Forest	70.2