Results | Algorithms | MMRE-genetic algorithm | MMRE-bestfit | PRED (25) GA/ Pred (25) BF |
Our | Bagging RF | 0.251015 | 0.147558 | 0.8133/0.78 |
Bagging REPTree | 0.153349 | 0.126655 | 0.88/0.88 | |
Bagging M5 Rule | 0.10263 | 0.176172 | 0.9733/0.9733 | |
Bagging LR | 0.14755777 | 0.10263 | 0.8133/0.88 | |
Bagging MLP | 0.176172 | 0.153349 | 0.87/0.80 | |
Bagging SMOReg | 0.126655 | 0.251015 | 0.9066/0.9118 | |
[8] | Augmented COCOMO | 0.65 | 0.65 | Pred (20) 0.3167 |
Parsimonious COCOMO |
| 0.64 | 0.304 | |
[27] | Clustering | 0.0103 | 0.0103 | Pred (30) 0.356 |
[31] | Regressive | 0.623 | 0.623 | - |
ANN | 0.352 | 0.352 | - | |
Case Based Reasoning | 0.362 | 0.362 | - | |
[20] | SVR | 0.165 | 0.165 | 0.8889 |
RBF | 0.1907 | 0.1906 | 0.7222 | |
Linear Regression | 0.233 | 0.233 | 0.7222 | |
[33] | ANN | 0.900 | 0.900 | 0.22 |
Classification and Regression Tree | 0.770 | 0.770 | 0.26 | |
Ordinary Least Square Regression | 0.720 | 0.720 | 0.33 | |
Adjusted analogy-based estimation using Euclidean distance | 0.3800 | 0.3800 | 0.57 | |
Adjusted analogy-based estimation using Manhattan distance | 0.360 | 0.360 | 0.52 | |
Adjusted analogy-based estimation using Minkowski distance | 0.430 | 0.430 | 0.61 |