Table 8 Results on ZKmS with other techniques.
From: An efficient ANFIS-EEBAT approach to estimate effort of Scrum projects
Techniques | R2 | RMSE | MAE | MAPE | MMRE | PRED (15%) |
|---|---|---|---|---|---|---|
ANFIS | 0.982857 | 3.042915 | 0.57697 | 0.896473 | 4.310884 | 100 |
ANFIS-GA | 0.973329 | 4.269707 | 2.025023 | 3.525099 | 6.568641 | 96.67 |
ANFIS-PSO | 0.977309 | 3.439497 | 0.366967 | 0.857856 | 4.498164 | 96.67 |
ANFIS-BAT | 0.955252 | 4.972847 | 1.386903 | 2.748092 | 5.78877 | 86.67 |
Random forest | 0.812542 | 9.935695 | 0.325292 | 1.394628 | 13.38908 | 66.67 |
SVR | 0.294153 | 19.4183 | 3.678706 | 0.965226 | 20.50747 | 46.67 |
SGB | 0.955736 | 4.759849 | 0.35478 | 0.825001 | 5.676487 | 93.33 |
ANFIS-EEBAT | 0.98472 | 2.82716 | 0.44048 | 0.97115 | 3.91037 | 100 |
