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Table 4 Comparison results of RP and SVM with FIRF feature vectors on human dataset

From: Identification of self-interacting proteins by integrating random projection classifier and finite impulse response filter

Testing setAcc (%)Sen (%)PE (%)MCC (%)
SVM + PSSM+FIRF
 196.3255.09100.0072.78
 295.9453.92100.0071.85
 396.3755.32100.0072.95
 496.7856.25100.0073.73
 595.6651.60100.0070.18
Average96.21 ± 0.4354.44 ± 1.79100.00 ± 0.0072.30 ± 1.36
RP + PSSM+FIRF
 198.1076.84100.0086.77
 297.7674.51100.0085.28
 397.7071.63100.0083.59
 498.0173.05100.0084.57
 597.8776.28100.0086.34
Average97.89 ± 0.1774.46 ± 2.18100.00 ± 0.0085.31 ± 1.29
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