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Table 3 Comparison results of RP and SVM with FIRF feature vectors on yeast 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
 192.3632.62100.0054.81
 289.156.25100.0023.59
 394.2145.04100.0065.04
 493.6544.76100.0064.62
 592.2135.76100.0057.31
Average92.32 ± 1.9632.89 ± 15.86100.00 ± 0.0053.07 ± 17.08
RP + PSSM+FIRF
 197.4378.0199.1086.65
 297.3577.08100.0086.51
 397.3575.5799.0085.22
 497.5178.32100.0087.28
 597.1176.16100.0085.87
Average97.35 ± 0.1577.03 ± 1.1799.62 ± 0.5286.31 ± 0.79
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