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