JPPRED: Prediction of Types of J-Proteins from Imbalanced Data Using an Ensemble Learning Method

Table 1

Performance of JPPRED using various feature spaces by 10-fold cross validation.

Feature space	AvgSn	Acc
SAAC	0.791	0.746
PSSM	0.851	0.808
PseAAC	0.744	0.606
SAAC + PseAAC	0.814	0.766
SAAC + PSSM	0.832	0.847
PseAAC + PSSM	0.863	0.821
SAAC + PseAAC + PSSM	0.875	0.852