Table 3

Prediction accuracy of CBF-PSSEs and PBF-PSSE for four datasets
Dataset Type Method Prediction accuracy (%)
All-α All-β α/β α+β Overall
25PDB CBF-PSSE contentSE 89.39 76.75 68.21 60.54 74.06
CMV 88.04 69.53 66.76 62.81 72.09
MaxSegSE 83.30 68.62 58.67 56.24 67.18
NMaxSegSE 79.68 70.65 70.81 70.98 73.16
AvgSegSE 79.91 69.53 68.79 70.75 72.44
NAvgSegSE 35.44 96.61 0 6.12 36.58
3PATTERN 76.75 66.37 71.68 57.14 67.78
APPA 64.56 62.08 55.49 57.37 60.13
TPM 83.52 73.14 72.54 56.01 71.25
PBF-PSSE 74.72 77.88 69.08 78.00 75.25
640 CBF-PSSE contentSE 89.86 77.27 81.36 64.33 77.66
CMV 84.78 76.62 88.14 57.89 76.56
MaxSegSE 73.91 70.13 74.58 52.05 67.34
NMaxSegSE 79.71 75.32 85.31 60.82 75.16
AvgSegSE 79.71 66.88 88.70 60.23 73.91
NAvgSegSE 8.70 0 100 0 29.53
3PATTERN 65.94 60.39 87.01 52.05 66.72
APPA 63.04 64.29 65.54 53.22 61.41
TPM 76.81 68.83 84.75 62.57 73.28
PBF-PSSE CF(δ) 76.09 78.57 84.75 78.95 79.84
FC699 CBF-PSSE contentSE 84.62 91.45 93.9 34.15 86.01
CMV 82.31 90.33 94.16 21.95 84.27
MaxSegSE 83.85 86.25 97.08 12.2 83.57
NMaxSegSE 83.08 86.62 92.84 51.22 85.43
AvgSegSE 86.15 85.87 94.16 46.34 85.78
NAvgSegSE 3.85 0 99.73 0 44.41
3PATTERN 76.92 80.3 95.76 50 83.68
APPA 63.85 75.09 95.49 0 75.17
TPM 90 88.48 87 51.22 84.5
PBF-PSSE CF(δ) 88.46 81.41 88.86 80.49 85.66
1189 CBF-PSSE contentSE 86.1 83.67 84.43 55.19 78.11
CMV 83.41 81.63 84.13 36.93 72.89
MaxSegSE 82.96 80.95 72.75 41.49 70.15
NMaxSegSE 79.82 80.61 81.74 53.94 74.91
AvgSegSE 78.48 73.47 82.93 48.55 71.87
NAvgSegSE 0 0 1 0 30.59
3PATTERN 65.92 70.07 83.53 44.81 67.77
APPA 61.88 68.37 76.95 31.54 61.54
TPM 85.2 78.23 76.05 56.02 74.08
PBF-PSSE CF(δ) 81.61 82.31 79.94 68.46 78.39

The accuracy of each class and overall accuracy obtained by CBF-PSSEs and PBF-PSSE for datasets 25PDB, 640, FC699 and 1189.

Dai et al.

Dai et al. BMC Bioinformatics 2013 14:152   doi:10.1186/1471-2105-14-152

Open Data