ProFold: Protein Fold Classification with Additional Structural Features and a Novel Ensemble Classifier

Table 8

The accuracy of 5-fold cross validation on the features extracted from DD-dataset using 10 basic classifiers.

Feature groups	Basic classifiers	Fivefold CV accuracy (%)
DSSP	LMT	43.0
	RandomForest	51.3
	LibSVM	46.4
	SimpleLogistic	43.0
	RotationForest	49.7
	SMO	36.4
	NaiveBayes	43.4
	RandomTree	32.8
	FT	42.4
	SimpleCart	37.7
AAsCPC	LMT	32.5
	RandomForest	35.4
	LibSVM	34.4
	SimpleLogistic	32.5
	RotationForest	27.7
	SMO	34.4
	NaiveBayes	28.3
	RandomTree	11.6
	FT	34.4
	SimpleCart	20.6
PSSM	LMT	56.3
	RandomForest	53.7
	LibSVM	57.2
	SimpleLogistic	55.9
	RotationForest	56.1
	SMO	30.2
	NaiveBayes	42.4
	RandomTree	29.6
	FT	49.5
	SimpleCart	33.4
FunD	LMT	42.1
	RandomForest	43.1
	LibSVM	21.2
	SimpleLogistic	43.1
	RotationForest	41.8
	SMO	38.9
	NaiveBayes	38.3
	RandomTree	39.9
	FT	44.1
	SimpleCart	34.7

The basic classifier of each feature group with the highest accuracy.