An Empirical Study of Different Approaches for Protein Classification

Table 10

Comparison with the state-of-the-art using accuracy as performance indicator.

Accuracy	Datasets
Methods	HU	PF	GP	GR	VR	DNA	ENZ	MEM	GO	SL	HI	AD	VI1	VI2
[15]		56.50
[69]		65.50
[70]		58.18
[40]		61.04
[71]	70.0
[72]		69.60
[3–5]								91.6
[20]			91.6
[61]				84.1
[1]								92.7
[73]								92.6
[12]	70.0		98.1	84.4	78.6			91.5
[28]							56.2	94.1	59.4	85.8	93.1		85.5	81.7
FUS1	75.0	68.6	99.2	87.9	76.2	93.7	56.9	94.3	64.3	87.0	93.9	78.0	84.3	83.5
FUS2		74.6				94.6	57.1		63.0