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Table 5 Performance results between RP-FIRF model and the other methods on yeast dataset

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

ModelAcc (%)Sp (%)Sen (%)MCC (%)AUC
SLIPPER [6]71.9072.1869.7228.420.7723
DXECPPI [25]87.4694.9329.4428.250.6934
PPIevo [26]66.2887.4660.1418.010.6728
LocFuse [27]66.6668.1055.4915.770.7087
CRS [28]72.6974.3759.5823.680.7115
SPAR [28]76.9680.0253.2424.840.7455
Proposed method97.3599.9677.0386.310.8896