Table 8: Models’ performance using COCOMO dataset.

Model typeModelMMREPRED(25)EF

IndividualMLP250.7723.10.09
SVR803.967.70.01
ANFIS532.3323.10.04

Homogeneous ensemble
(MLP)
HM-MLP-[Avg]68.5323.10.33
HM-MLP-[WtAvg]68.6223.10.33
HM-MLP-[MLP]71.5723.10.32
HM-MLP-[SVR]466.600.00.00
HM-MLP-[FIS-FCM]432.8123.10.05
HM-MLP-[FIS-SC]102.490.00.00
HM-MLP-[ANFIS-FCM]98.9815.40.15
HM-MLP-[ANFIS-SC]307.0815.40.05

Homogeneous ensemble
(SVR)
HM-SVR-[Avg]131.797.70.06
HM-SVR-[WtAvg]131.347.70.06
HM-SVR-[MLP]71.5723.10.32
HM-SVR-[SVR]515.510.00.00
HM-SVR-[FIS-FCM]1471.430.00.00
HM-SVR-[FIS-SC]102.490.00.00
HM-SVR-[ANFIS-FCM]305.6823.10.08
HM-SVR-[ANFIS-SC]131.4623.10.17

Homogeneous ensemble
(ANFIS)
HM-ANFIS-[Avg]165.5715.40.09
HM-ANFIS-[WtAvg]165.5715.40.09
HM-ANFIS-[MLP]1059.117.70.01
HM-ANFIS-[SVR]480.867.70.02
HM-ANFIS-[FIS-FCM]2804.980.00.00
HM-ANFIS-[FIS-SC]147249731.420.00.00
HM-ANFIS-[ANFIS-FCM]587.0915.40.03
HM-ANFIS-[ANFIS-SC]177.9030.80.17

Heterogeneous ensemble
(MLP, SVR, ANFIS)
HT-(MLP, SVR, ANFIS)-[Avg]109.797.70.07
HT-(MLP, SVR, ANFIS)-[WtAvg]83.8115.40.18
HT-(MLP, SVR, ANFIS)-[MLP]881.830.00.00
HT-(MLP, SVR, ANFIS)-[SVR]479.367.70.02
HT-(MLP, SVR, ANFIS)-[FIS-FCM]2359.230.00.00
HT-(MLP, SVR, ANFIS)-[FIS-SC]478644.937.70.00
HT-(MLP, SVR, ANFIS)-[ANFIS-FCM]468.1830.80.07
HT-(MLP, SVR, ANFIS)-[ANFIS-SC]135.1630.80.23