Table 4

Comparison with state-of-the-art predictors on data sets S2

Methods5-fold cross-validationJackknife cross-validation
Sn(%)Sp(%)Acc(%)MCCSn(%)Sp(%)Acc(%)MCC
iRSpot-EL75.2988.8182.650.651
RF-DYMHC73.0186.5680.400.605
IDQD-4-mer79.5281.8280.770.616
IRSpot-PseDNC71.7585.8479.330.583
IRSpot-TNCPseAAC76.5670.9973.520.474
IRSpot-ADPM77.1990.7384.570.69076.3690.5684.100.681
IRSpot-PDI71.8492.9583.160.666
iRSpot-SF84.5775.7684.580.69475.3191.0883.910.677
Methods5-fold cross-validationJackknife cross-validation
Sn(%)Sp(%)Acc(%)MCCSn(%)Sp(%)Acc(%)MCC
iRSpot-EL75.2988.8182.650.651
RF-DYMHC73.0186.5680.400.605
IDQD-4-mer79.5281.8280.770.616
IRSpot-PseDNC71.7585.8479.330.583
IRSpot-TNCPseAAC76.5670.9973.520.474
IRSpot-ADPM77.1990.7384.570.69076.3690.5684.100.681
IRSpot-PDI71.8492.9583.160.666
iRSpot-SF84.5775.7684.580.69475.3191.0883.910.677
Table 4

Comparison with state-of-the-art predictors on data sets S2

Methods5-fold cross-validationJackknife cross-validation
Sn(%)Sp(%)Acc(%)MCCSn(%)Sp(%)Acc(%)MCC
iRSpot-EL75.2988.8182.650.651
RF-DYMHC73.0186.5680.400.605
IDQD-4-mer79.5281.8280.770.616
IRSpot-PseDNC71.7585.8479.330.583
IRSpot-TNCPseAAC76.5670.9973.520.474
IRSpot-ADPM77.1990.7384.570.69076.3690.5684.100.681
IRSpot-PDI71.8492.9583.160.666
iRSpot-SF84.5775.7684.580.69475.3191.0883.910.677
Methods5-fold cross-validationJackknife cross-validation
Sn(%)Sp(%)Acc(%)MCCSn(%)Sp(%)Acc(%)MCC
iRSpot-EL75.2988.8182.650.651
RF-DYMHC73.0186.5680.400.605
IDQD-4-mer79.5281.8280.770.616
IRSpot-PseDNC71.7585.8479.330.583
IRSpot-TNCPseAAC76.5670.9973.520.474
IRSpot-ADPM77.1990.7384.570.69076.3690.5684.100.681
IRSpot-PDI71.8492.9583.160.666
iRSpot-SF84.5775.7684.580.69475.3191.0883.910.677
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