xerces 
Options: -M 4.0 

M5 pruned model tree:
(using smoothed linear models)

loc <= 285 : 
|   cbo <= 1.5 : 
|   |   avg_cc <= 0.854 : 
|   |   |   cam <= 0.592 : 
|   |   |   |   cam <= 0.483 : LM1 (30/62.93%)
|   |   |   |   cam >  0.483 : LM2 (9/40.096%)
|   |   |   cam >  0.592 : LM3 (36/50.576%)
|   |   avg_cc >  0.854 : 
|   |   |   cam <= 0.764 : 
|   |   |   |   cam <= 0.677 : LM4 (133/51.684%)
|   |   |   |   cam >  0.677 : LM5 (59/24.539%)
|   |   |   cam >  0.764 : LM6 (50/66.443%)
|   cbo >  1.5 : 
|   |   ca <= 0.5 : LM7 (160/0%)
|   |   ca >  0.5 : 
|   |   |   lcom3 <= 0.983 : LM8 (153/54.638%)
|   |   |   lcom3 >  0.983 : 
|   |   |   |   cbo <= 3.5 : LM9 (108/6.17%)
|   |   |   |   cbo >  3.5 : 
|   |   |   |   |   cbo <= 12.5 : LM10 (82/18.945%)
|   |   |   |   |   cbo >  12.5 : 
|   |   |   |   |   |   cbo <= 21.5 : LM11 (9/42.614%)
|   |   |   |   |   |   cbo >  21.5 : LM12 (12/0%)
loc >  285 : 
|   wmc <= 41.5 : LM13 (165/57.643%)
|   wmc >  41.5 : 
|   |   ce <= 21 : 
|   |   |   lcom <= 787 : 
|   |   |   |   dit <= 1.5 : LM14 (17/81.942%)
|   |   |   |   dit >  1.5 : 
|   |   |   |   |   cam <= 0.144 : LM15 (2/0%)
|   |   |   |   |   cam >  0.144 : LM16 (4/47.589%)
|   |   |   lcom >  787 : LM17 (14/49.624%)
|   |   ce >  21 : 
|   |   |   rfc <= 256 : LM18 (9/191.764%)
|   |   |   rfc >  256 : LM19 (3/528.077%)

LM num: 1
bug = 
	-0.0224 * wmc 
	- 0.0335 * dit 
	+ 0.0008 * noc 
	- 0.3527 * cbo 
	+ 0.0076 * rfc 
	- 0.0062 * lcom 
	+ 0.0042 * ca 
	+ 0.0029 * ce 
	+ 0.0146 * npm 
	- 0.083 * lcom3 
	- 0.0019 * loc 
	- 0.015 * dam 
	- 0.0009 * moa 
	+ 0.0653 * mfa 
	+ 0.6275 * cam 
	+ 0.0008 * cbm 
	- 0.0001 * amc 
	- 0.0003 * max_cc 
	- 0.0357 * avg_cc 
	+ 1.0795

LM num: 2
bug = 
	-0.1776 * wmc 
	- 0.0335 * dit 
	+ 0.0008 * noc 
	- 0.0053 * cbo 
	+ 0.0076 * rfc 
	- 0.0062 * lcom 
	+ 0.0042 * ca 
	+ 0.0029 * ce 
	- 0.0109 * npm 
	- 0.083 * lcom3 
	- 0.0019 * loc 
	- 0.015 * dam 
	- 0.0009 * moa 
	- 0.2918 * mfa 
	+ 1.1707 * cam 
	+ 0.0008 * cbm 
	- 0.0001 * amc 
	- 0.0003 * max_cc 
	- 0.0357 * avg_cc 
	+ 2.3357

LM num: 3
bug = 
	-0.0224 * wmc 
	- 0.0335 * dit 
	+ 0.4238 * noc 
	- 0.0053 * cbo 
	+ 0.0076 * rfc 
	- 0.0066 * lcom 
	+ 0.0042 * ca 
	+ 0.0029 * ce 
	+ 0.0458 * npm 
	- 0.083 * lcom3 
	- 0.002 * loc 
	- 0.015 * dam 
	- 0.0009 * moa 
	+ 0.0653 * mfa 
	+ 0.0067 * cam 
	+ 0.0008 * cbm 
	- 0.0001 * amc 
	- 0.0003 * max_cc 
	- 0.0357 * avg_cc 
	+ 0.7925

LM num: 4
bug = 
	-0.0253 * wmc 
	- 0.0159 * dit 
	+ 0.0008 * noc 
	- 0.0053 * cbo 
	+ 0.0029 * rfc 
	+ 0 * lcom 
	+ 0.0042 * ca 
	+ 0.0029 * ce 
	+ 0.0061 * npm 
	- 0.0401 * lcom3 
	- 0.0003 * loc 
	- 0.015 * dam 
	- 0.0009 * moa 
	+ 0.0254 * mfa 
	- 0.0404 * cam 
	+ 0.0008 * cbm 
	- 0.0001 * amc 
	- 0.0003 * max_cc 
	- 0.0169 * avg_cc 
	+ 0.7225

LM num: 5
bug = 
	-0.0126 * wmc 
	- 0.0159 * dit 
	+ 0.0008 * noc 
	- 0.0053 * cbo 
	+ 0.0017 * rfc 
	+ 0 * lcom 
	+ 0.0042 * ca 
	+ 0.0029 * ce 
	+ 0.0061 * npm 
	- 0.0401 * lcom3 
	- 0.0003 * loc 
	- 0.015 * dam 
	- 0.0009 * moa 
	+ 0.0254 * mfa 
	- 0.1162 * cam 
	+ 0.0008 * cbm 
	- 0.0001 * amc 
	- 0.0003 * max_cc 
	- 0.0169 * avg_cc 
	+ 0.3879

LM num: 6
bug = 
	-0.0174 * wmc 
	- 0.0159 * dit 
	+ 0.0008 * noc 
	- 0.0053 * cbo 
	+ 0.0041 * rfc 
	- 0.0001 * lcom 
	+ 0.0042 * ca 
	+ 0.0029 * ce 
	+ 0.0122 * npm 
	- 0.0401 * lcom3 
	- 0.0003 * loc 
	- 0.015 * dam 
	- 0.0009 * moa 
	+ 0.0254 * mfa 
	+ 0.0978 * cam 
	+ 0.0008 * cbm 
	- 0.0001 * amc 
	- 0.0003 * max_cc 
	- 0.0169 * avg_cc 
	+ 0.7864

LM num: 7
bug = 
	-0.006 * wmc 
	- 0.0092 * dit 
	+ 0.0005 * noc 
	- 0.0042 * cbo 
	+ 0.0049 * rfc 
	+ 0 * lcom 
	+ 0.0034 * ca 
	+ 0.0029 * ce 
	+ 0.0002 * npm 
	- 0.0256 * lcom3 
	- 0.0002 * loc 
	- 0.0115 * dam 
	- 0.0009 * moa 
	+ 0.0039 * mfa 
	+ 0.0067 * cam 
	+ 0.0022 * cbm 
	- 0.0001 * amc 
	- 0.0003 * max_cc 
	- 0.0051 * avg_cc 
	+ 0.0872

LM num: 8
bug = 
	-0.0552 * wmc 
	- 0.007 * dit 
	+ 0.0005 * noc 
	- 0.0042 * cbo 
	+ 0.0398 * rfc 
	+ 0 * lcom 
	+ 0.0034 * ca 
	+ 0.0029 * ce 
	+ 0.0002 * npm 
	+ 0.5314 * lcom3 
	- 0.0003 * loc 
	- 0.429 * dam 
	- 0.0009 * moa 
	+ 0.0039 * mfa 
	+ 0.0067 * cam 
	+ 0.0013 * cbm 
	- 0.0001 * amc 
	- 0.0003 * max_cc 
	- 0.0051 * avg_cc 
	+ 0.2255

LM num: 9
bug = 
	-0.007 * wmc 
	- 0.007 * dit 
	+ 0.0005 * noc 
	- 0.0027 * cbo 
	+ 0.0058 * rfc 
	+ 0 * lcom 
	+ 0.0024 * ca 
	+ 0.0029 * ce 
	+ 0.0002 * npm 
	- 0.1235 * lcom3 
	- 0.0003 * loc 
	- 0.0115 * dam 
	- 0.0009 * moa 
	+ 0.0039 * mfa 
	+ 0.0067 * cam 
	+ 0.0013 * cbm 
	- 0.0001 * amc 
	- 0.0003 * max_cc 
	- 0.0051 * avg_cc 
	+ 0.2816

LM num: 10
bug = 
	-0.007 * wmc 
	- 0.007 * dit 
	+ 0.0005 * noc 
	- 0.0026 * cbo 
	+ 0.0058 * rfc 
	+ 0 * lcom 
	+ 0.0024 * ca 
	+ 0.0029 * ce 
	+ 0.0002 * npm 
	- 0.0388 * lcom3 
	- 0.0003 * loc 
	- 0.0115 * dam 
	- 0.0009 * moa 
	+ 0.0039 * mfa 
	+ 0.0067 * cam 
	+ 0.0013 * cbm 
	- 0.0001 * amc 
	- 0.0003 * max_cc 
	- 0.0051 * avg_cc 
	+ 0.1841

LM num: 11
bug = 
	-0.007 * wmc 
	- 0.007 * dit 
	+ 0.0005 * noc 
	- 0.0083 * cbo 
	+ 0.0058 * rfc 
	+ 0 * lcom 
	+ 0.0024 * ca 
	+ 0.0029 * ce 
	+ 0.0002 * npm 
	- 0.0388 * lcom3 
	- 0.0003 * loc 
	- 0.0115 * dam 
	- 0.0009 * moa 
	+ 0.0039 * mfa 
	+ 0.0067 * cam 
	+ 0.0013 * cbm 
	- 0.0001 * amc 
	- 0.0003 * max_cc 
	- 0.0051 * avg_cc 
	+ 0.5249

LM num: 12
bug = 
	-0.007 * wmc 
	- 0.007 * dit 
	+ 0.0005 * noc 
	- 0.0077 * cbo 
	+ 0.0058 * rfc 
	+ 0 * lcom 
	+ 0.0024 * ca 
	+ 0.0029 * ce 
	+ 0.0002 * npm 
	- 0.0388 * lcom3 
	- 0.0003 * loc 
	- 0.0115 * dam 
	- 0.0009 * moa 
	+ 0.0039 * mfa 
	+ 0.0067 * cam 
	+ 0.0013 * cbm 
	- 0.0001 * amc 
	- 0.0003 * max_cc 
	- 0.0051 * avg_cc 
	+ 0.3709

LM num: 13
bug = 
	-0.0077 * wmc 
	- 0.0116 * dit 
	- 0.0088 * cbo 
	+ 0.0129 * rfc 
	- 0.0016 * lcom 
	+ 0.0078 * ca 
	+ 0.018 * ce 
	+ 0.2443 * lcom3 
	+ 0.0002 * loc 
	- 0.0223 * dam 
	- 0.0034 * moa 
	+ 0.0146 * mfa 
	+ 1.8698 * cam 
	- 0.0023 * amc 
	- 0.0024 * max_cc 
	- 0.0092 * avg_cc 
	- 0.6514

LM num: 14
bug = 
	-0.0361 * wmc 
	+ 0.2012 * dit 
	+ 0.0484 * noc 
	+ 0.0279 * cbo 
	+ 0.0067 * rfc 
	- 0.001 * lcom 
	+ 0.0078 * ca 
	+ 0.0311 * ce 
	- 1.1504 * lcom3 
	+ 0.0005 * loc 
	- 0.0223 * dam 
	- 0.0723 * moa 
	+ 0.0146 * mfa 
	+ 0.7411 * cam 
	- 0.0012 * amc 
	- 0.005 * max_cc 
	- 0.4367 * avg_cc 
	+ 3.4367

LM num: 15
bug = 
	-0.0361 * wmc 
	+ 0.2012 * dit 
	+ 0.0279 * cbo 
	+ 0.0067 * rfc 
	- 0 * lcom 
	+ 0.0078 * ca 
	+ 0.0311 * ce 
	- 1.1504 * lcom3 
	+ 0.0005 * loc 
	- 0.0223 * dam 
	- 0.0885 * moa 
	+ 0.0146 * mfa 
	+ 0.7411 * cam 
	- 0.0012 * amc 
	- 0.005 * max_cc 
	- 0.4588 * avg_cc 
	+ 3.1532

LM num: 16
bug = 
	-0.0361 * wmc 
	+ 0.2012 * dit 
	+ 0.0279 * cbo 
	+ 0.0067 * rfc 
	- 0 * lcom 
	+ 0.0078 * ca 
	+ 0.0311 * ce 
	+ 0.2197 * lcom3 
	+ 0.0005 * loc 
	- 0.0223 * dam 
	- 0.0885 * moa 
	+ 0.0146 * mfa 
	+ 0.7411 * cam 
	- 0.0012 * amc 
	- 0.005 * max_cc 
	- 0.4588 * avg_cc 
	+ 2.0329

LM num: 17
bug = 
	-0.0283 * wmc 
	+ 0.2673 * dit 
	+ 0.0279 * cbo 
	+ 0.0067 * rfc 
	- 0.0003 * lcom 
	+ 0.0078 * ca 
	+ 0.0311 * ce 
	+ 0.1947 * lcom3 
	+ 0.0004 * loc 
	- 0.0223 * dam 
	- 0.0529 * moa 
	+ 0.0146 * mfa 
	+ 0.7411 * cam 
	- 0.0012 * amc 
	- 0.005 * max_cc 
	- 0.1855 * avg_cc 
	+ 0.7335

LM num: 18
bug = 
	-0.1041 * wmc 
	- 0.0116 * dit 
	+ 0.062 * cbo 
	+ 0.0067 * rfc 
	+ 0.0016 * lcom 
	+ 0.0078 * ca 
	+ 0.0311 * ce 
	- 10.5491 * lcom3 
	+ 0.0006 * loc 
	- 0.0223 * dam 
	- 0.0034 * moa 
	+ 0.0146 * mfa 
	+ 0.7411 * cam 
	- 0.0012 * amc 
	- 0.005 * max_cc 
	- 0.3487 * avg_cc 
	+ 13.7403

LM num: 19
bug = 
	-0.1041 * wmc 
	- 0.0116 * dit 
	+ 0.062 * cbo 
	+ 0.0067 * rfc 
	+ 0.0016 * lcom 
	+ 0.0078 * ca 
	+ 0.0311 * ce 
	- 10.5491 * lcom3 
	+ 0.0006 * loc 
	- 0.0223 * dam 
	- 0.0034 * moa 
	+ 0.0146 * mfa 
	+ 0.7411 * cam 
	- 0.0012 * amc 
	- 0.005 * max_cc 
	- 0.3487 * avg_cc 
	+ 14.8764

Number of Rules : 19

Time taken to build model: 0.88 seconds
Time taken to test model on training data: 0.04 seconds

=== Error on training data ===

Correlation coefficient                  0.7205
Mean absolute error                      0.5036
Root mean squared error                  1.0419
Relative absolute error                 70.4055 %
Root relative squared error             70.6374 %
Total Number of Instances             1055     


xalan 
Options: -M 4.0 

M5 pruned model tree:
(using smoothed linear models)

loc <= 362.5 : 
|   loc <= 67.5 : 
|   |   wmc <= 4.5 : LM1 (647/46.098%)
|   |   wmc >  4.5 : 
|   |   |   cbm <= 2.5 : LM2 (146/52.974%)
|   |   |   cbm >  2.5 : 
|   |   |   |   ce <= 8.5 : LM3 (33/69.713%)
|   |   |   |   ce >  8.5 : LM4 (10/0%)
|   loc >  67.5 : 
|   |   lcom <= 0.5 : LM5 (343/56.017%)
|   |   lcom >  0.5 : 
|   |   |   npm <= 3.5 : LM6 (182/56.219%)
|   |   |   npm >  3.5 : LM7 (382/86.207%)
loc >  362.5 : 
|   rfc <= 94.5 : LM8 (526/95.263%)
|   rfc >  94.5 : 
|   |   rfc <= 139.5 : 
|   |   |   avg_cc <= 1.556 : LM9 (24/138.223%)
|   |   |   avg_cc >  1.556 : 
|   |   |   |   mfa <= 0.76 : LM10 (42/99.076%)
|   |   |   |   mfa >  0.76 : LM11 (20/152.141%)
|   |   rfc >  139.5 : 
|   |   |   mfa <= 0.089 : LM12 (23/146.723%)
|   |   |   mfa >  0.089 : 
|   |   |   |   dam <= 0.747 : LM13 (9/116.635%)
|   |   |   |   dam >  0.747 : 
|   |   |   |   |   cam <= 0.138 : LM14 (17/137.569%)
|   |   |   |   |   cam >  0.138 : LM15 (7/106.824%)

LM num: 1
bug = 
	-0.0003 * wmc 
	+ 0.0228 * dit 
	+ 0.0316 * cbo 
	- 0.0176 * rfc 
	- 0 * lcom 
	- 0.0299 * ca 
	- 0.0351 * ce 
	+ 0.0003 * npm 
	- 0.0007 * lcom3 
	+ 0.0001 * loc 
	- 0.0015 * dam 
	- 0.0003 * moa 
	- 0.0029 * mfa 
	- 0.0617 * ic 
	+ 0.0225 * cbm 
	+ 0.0093 * amc 
	+ 0.0006 * max_cc 
	- 0.0017 * avg_cc 
	+ 0.1531

LM num: 2
bug = 
	0.0008 * wmc 
	+ 0.0084 * dit 
	+ 0.0005 * cbo 
	- 0.001 * rfc 
	- 0 * lcom 
	- 0.0004 * ca 
	- 0.0013 * ce 
	+ 0.0003 * npm 
	- 0.0007 * lcom3 
	- 0.0039 * loc 
	- 0.0015 * dam 
	- 0.0003 * moa 
	- 0.0084 * mfa 
	+ 0.0012 * cbm 
	+ 0.0042 * amc 
	+ 0.0006 * max_cc 
	- 0.3156 * avg_cc 
	+ 0.5841

LM num: 3
bug = 
	0.0008 * wmc 
	+ 0.0171 * dit 
	- 0.0138 * cbo 
	- 0.001 * rfc 
	- 0 * lcom 
	+ 0.0176 * ca 
	- 0.0013 * ce 
	+ 0.0003 * npm 
	- 0.0007 * lcom3 
	- 0.0015 * loc 
	- 0.0015 * dam 
	- 0.0003 * moa 
	+ 1.762 * mfa 
	+ 0.0012 * cbm 
	+ 0.0115 * amc 
	+ 0.0006 * max_cc 
	- 0.0017 * avg_cc 
	- 1.0604

LM num: 4
bug = 
	0.0008 * wmc 
	+ 0.0171 * dit 
	- 0.027 * cbo 
	- 0.001 * rfc 
	- 0 * lcom 
	+ 0.0342 * ca 
	- 0.0013 * ce 
	+ 0.0003 * npm 
	- 0.0007 * lcom3 
	- 0.0015 * loc 
	- 0.0015 * dam 
	- 0.0003 * moa 
	+ 1.1105 * mfa 
	+ 0.0012 * cbm 
	+ 0.0115 * amc 
	+ 0.0006 * max_cc 
	- 0.0017 * avg_cc 
	- 0.6143

LM num: 5
bug = 
	-0.0171 * wmc 
	+ 0.002 * dit 
	- 0.0007 * cbo 
	+ 0.0094 * rfc 
	+ 0 * lcom 
	+ 0.0007 * ca 
	- 0.0151 * ce 
	+ 0.0014 * npm 
	- 0.0007 * lcom3 
	+ 0 * loc 
	- 0.0069 * dam 
	- 0.0003 * moa 
	- 0.0004 * mfa 
	+ 0.0094 * cam 
	+ 0.0004 * cbm 
	+ 0 * amc 
	+ 0.0021 * max_cc 
	- 0.0062 * avg_cc 
	+ 0.331

LM num: 6
bug = 
	-0.007 * wmc 
	+ 0.0014 * dit 
	- 0.002 * cbo 
	+ 0.0015 * rfc 
	+ 0.0001 * lcom 
	+ 0.0202 * ca 
	- 0.0211 * ce 
	+ 0.1502 * npm 
	- 0.0171 * lcom3 
	+ 0 * loc 
	- 0.0278 * dam 
	- 0.0003 * moa 
	- 0.0004 * mfa 
	+ 0.894 * cam 
	+ 0.0004 * cbm 
	+ 0 * amc 
	+ 0.0053 * max_cc 
	- 0.0176 * avg_cc 
	- 0.2243

LM num: 7
bug = 
	-0.0321 * wmc 
	+ 0.0014 * dit 
	- 0.0255 * cbo 
	+ 0.025 * rfc 
	+ 0.0015 * lcom 
	+ 0.0264 * ca 
	- 0.0005 * ce 
	- 0.0452 * npm 
	- 0.0088 * lcom3 
	+ 0 * loc 
	- 0.3895 * dam 
	- 0.0003 * moa 
	- 0.0004 * mfa 
	- 0.6748 * cam 
	+ 0.0004 * cbm 
	- 0.0103 * amc 
	+ 0.0483 * max_cc 
	- 0.1902 * avg_cc 
	+ 1.5261

LM num: 8
bug = 
	-0.0106 * wmc 
	- 0.1374 * dit 
	+ 0.0004 * cbo 
	+ 0.0103 * rfc 
	+ 0 * lcom 
	- 0.0001 * ca 
	- 0.0244 * ce 
	- 0.0006 * npm 
	- 0.0019 * lcom3 
	+ 0.0004 * loc 
	- 0.0017 * dam 
	- 0.0007 * moa 
	+ 0.9445 * mfa 
	+ 0.0028 * ic 
	+ 0.0249 * cbm 
	- 0.0014 * amc 
	- 0.0123 * max_cc 
	- 0.0025 * avg_cc 
	+ 0.5246

LM num: 9
bug = 
	-0.0084 * wmc 
	- 0.0147 * dit 
	+ 0.0052 * cbo 
	- 0.0198 * rfc 
	+ 0.0001 * lcom 
	- 0.0008 * ca 
	- 0.0169 * ce 
	- 0.0015 * npm 
	- 0.0019 * lcom3 
	+ 0.0009 * loc 
	- 0.0017 * dam 
	- 0.0007 * moa 
	+ 0.4624 * mfa 
	- 8.0033 * cam 
	+ 0.0095 * ic 
	+ 0.0004 * cbm 
	+ 0.0029 * amc 
	- 0.0706 * avg_cc 
	+ 4.5788

LM num: 10
bug = 
	-0.0084 * wmc 
	- 0.0147 * dit 
	+ 0.0038 * cbo 
	+ 0.0044 * rfc 
	+ 0.0001 * lcom 
	- 0.0008 * ca 
	- 0.0131 * ce 
	- 0.0015 * npm 
	+ 0.5328 * lcom3 
	+ 0.0002 * loc 
	- 0.0017 * dam 
	- 0.0007 * moa 
	+ 0.5723 * mfa 
	+ 2.0532 * cam 
	+ 0.0095 * ic 
	+ 0.0004 * cbm 
	+ 0.0001 * amc 
	- 0.0519 * avg_cc 
	+ 0.0048

LM num: 11
bug = 
	-0.0084 * wmc 
	- 0.0147 * dit 
	+ 0.0038 * cbo 
	+ 0.0068 * rfc 
	+ 0.0001 * lcom 
	- 0.0008 * ca 
	- 0.0131 * ce 
	- 0.0015 * npm 
	+ 0.8688 * lcom3 
	+ 0.0002 * loc 
	- 0.0017 * dam 
	- 0.0007 * moa 
	+ 0.7238 * mfa 
	+ 3.3437 * cam 
	+ 0.0095 * ic 
	+ 0.0004 * cbm 
	- 0.001 * amc 
	- 0.0519 * avg_cc 
	- 0.4862

LM num: 12
bug = 
	-0.0193 * wmc 
	- 0.0147 * dit 
	+ 0.0027 * cbo 
	+ 0.0104 * rfc 
	+ 0.0001 * lcom 
	- 0.0008 * ca 
	- 0.0114 * ce 
	- 0.0015 * npm 
	+ 3.8209 * lcom3 
	+ 0.0001 * loc 
	- 0.5847 * dam 
	- 0.0007 * moa 
	+ 0.2384 * mfa 
	+ 0.0095 * ic 
	+ 0.0004 * cbm 
	+ 0.0011 * amc 
	- 0.0437 * avg_cc 
	- 1.65

LM num: 13
bug = 
	-0.0176 * wmc 
	- 0.0147 * dit 
	+ 0.0027 * cbo 
	+ 0.0094 * rfc 
	+ 0.0001 * lcom 
	- 0.0008 * ca 
	- 0.0114 * ce 
	- 0.0015 * npm 
	- 3.1431 * lcom3 
	+ 0.0009 * loc 
	- 2.7473 * dam 
	- 0.0007 * moa 
	- 0.751 * mfa 
	+ 0.0095 * ic 
	+ 0.0004 * cbm 
	+ 0.0011 * amc 
	- 0.0437 * avg_cc 
	+ 6.5236

LM num: 14
bug = 
	-0.0219 * wmc 
	- 0.0147 * dit 
	+ 0.0027 * cbo 
	+ 0.0094 * rfc 
	+ 0.0001 * lcom 
	- 0.0008 * ca 
	- 0.0114 * ce 
	- 0.0015 * npm 
	- 1.9349 * lcom3 
	+ 0.0004 * loc 
	- 1.8688 * dam 
	- 0.0007 * moa 
	- 0.3705 * mfa 
	+ 0.0095 * ic 
	+ 0.0004 * cbm 
	+ 0.0011 * amc 
	- 0.0437 * avg_cc 
	+ 4.9778

LM num: 15
bug = 
	-0.0309 * wmc 
	- 0.0147 * dit 
	+ 0.0027 * cbo 
	+ 0.0094 * rfc 
	+ 0.0001 * lcom 
	- 0.0008 * ca 
	- 0.0114 * ce 
	- 0.0015 * npm 
	- 1.9349 * lcom3 
	+ 0.0004 * loc 
	- 1.8688 * dam 
	- 0.0007 * moa 
	- 0.3705 * mfa 
	+ 0.0095 * ic 
	+ 0.0004 * cbm 
	+ 0.0011 * amc 
	- 0.0437 * avg_cc 
	+ 5.8478

Number of Rules : 15

Time taken to build model: 2.34 seconds
Time taken to test model on training data: 0.07 seconds

=== Error on training data ===

Correlation coefficient                  0.6339
Mean absolute error                      0.5043
Root mean squared error                  0.7002
Relative absolute error                 74.3278 %
Root relative squared error             77.5385 %
Total Number of Instances             2411     


velocity 
Options: -M 4.0 

M5 pruned model tree:
(using smoothed linear models)

rfc <= 25.5 : 
|   lcom <= 0.5 : 
|   |   loc <= 48 : LM1 (40/38.841%)
|   |   loc >  48 : LM2 (40/68.477%)
|   lcom >  0.5 : 
|   |   cam <= 0.49 : 
|   |   |   mfa <= 0.902 : 
|   |   |   |   ce <= 7.5 : 
|   |   |   |   |   cam <= 0.378 : LM3 (17/43.467%)
|   |   |   |   |   cam >  0.378 : 
|   |   |   |   |   |   lcom3 <= 1.438 : LM4 (19/47.632%)
|   |   |   |   |   |   lcom3 >  1.438 : LM5 (6/0%)
|   |   |   |   ce >  7.5 : LM6 (15/23.485%)
|   |   |   mfa >  0.902 : 
|   |   |   |   rfc <= 19.5 : 
|   |   |   |   |   wmc <= 4.5 : LM7 (10/24.91%)
|   |   |   |   |   wmc >  4.5 : LM8 (12/0%)
|   |   |   |   rfc >  19.5 : LM9 (16/0%)
|   |   cam >  0.49 : LM10 (113/38.546%)
rfc >  25.5 : 
|   cbo <= 13.5 : 
|   |   cbm <= 1.5 : 
|   |   |   lcom <= 58 : LM11 (40/75.008%)
|   |   |   lcom >  58 : LM12 (16/71.421%)
|   |   cbm >  1.5 : 
|   |   |   mfa <= 0.905 : LM13 (8/27.872%)
|   |   |   mfa >  0.905 : LM14 (8/0%)
|   cbo >  13.5 : 
|   |   amc <= 25.667 : LM15 (25/71.874%)
|   |   amc >  25.667 : LM16 (25/148.717%)

LM num: 1
bug = 
	-0.0295 * wmc 
	+ 0.0556 * dit 
	+ 0.0246 * cbo 
	+ 0.0013 * rfc 
	+ 0.0001 * lcom 
	- 0.0257 * ca 
	+ 0.0294 * ce 
	- 0.0201 * lcom3 
	+ 0.0003 * loc 
	+ 0.0623 * mfa 
	+ 0.4162 * cam 
	- 0.0715 * ic 
	+ 0.001 * max_cc 
	+ 0.6708

LM num: 2
bug = 
	-0.0295 * wmc 
	+ 0.0556 * dit 
	+ 0.0246 * cbo 
	+ 0.0013 * rfc 
	+ 0.0001 * lcom 
	- 0.0257 * ca 
	+ 0.1403 * ce 
	+ 0.7249 * lcom3 
	- 0.0028 * loc 
	- 0.1393 * mfa 
	- 0.0715 * ic 
	+ 0.001 * max_cc 
	+ 0.8842

LM num: 3
bug = 
	0.0359 * wmc 
	- 0.0075 * dit 
	+ 0.0343 * cbo 
	+ 0.005 * rfc 
	+ 0.0017 * lcom 
	- 0.0271 * ca 
	- 0.0243 * ce 
	- 0.0616 * npm 
	- 0.0201 * lcom3 
	+ 0.0005 * loc 
	- 0.1547 * mfa 
	- 1.0539 * cam 
	- 0.0396 * ic 
	+ 0.001 * max_cc 
	+ 1.8738

LM num: 4
bug = 
	0.0386 * wmc 
	- 0.0075 * dit 
	+ 0.0343 * cbo 
	+ 0.005 * rfc 
	+ 0.0036 * lcom 
	- 0.0271 * ca 
	- 0.0243 * ce 
	- 0.0812 * npm 
	- 0.0617 * lcom3 
	+ 0.0005 * loc 
	- 0.1547 * mfa 
	- 0.9364 * cam 
	- 0.0396 * ic 
	+ 0.001 * max_cc 
	+ 1.8034

LM num: 5
bug = 
	0.0386 * wmc 
	- 0.0075 * dit 
	+ 0.0343 * cbo 
	+ 0.005 * rfc 
	+ 0.0049 * lcom 
	- 0.0271 * ca 
	- 0.0243 * ce 
	- 0.0933 * npm 
	- 0.0875 * lcom3 
	+ 0.0005 * loc 
	- 0.1547 * mfa 
	- 0.9364 * cam 
	- 0.0396 * ic 
	+ 0.001 * max_cc 
	+ 1.847

LM num: 6
bug = 
	0.0756 * wmc 
	- 0.0075 * dit 
	+ 0.0499 * cbo 
	+ 0.005 * rfc 
	+ 0.0008 * lcom 
	- 0.0405 * ca 
	- 0.0406 * ce 
	- 0.0919 * npm 
	- 0.0201 * lcom3 
	+ 0.0005 * loc 
	- 0.1547 * mfa 
	- 0.8863 * cam 
	- 0.0396 * ic 
	+ 0.001 * max_cc 
	+ 1.4812

LM num: 7
bug = 
	-0.0709 * wmc 
	+ 0.0074 * dit 
	+ 0.0169 * cbo 
	+ 0.0154 * rfc 
	+ 0.0011 * lcom 
	- 0.0123 * ca 
	- 0.0061 * ce 
	- 0.0344 * npm 
	- 0.0201 * lcom3 
	+ 0.0005 * loc 
	- 24.207 * mfa 
	- 0.0396 * ic 
	+ 0.001 * max_cc 
	+ 23.471

LM num: 8
bug = 
	-0.0709 * wmc 
	+ 0.0074 * dit 
	+ 0.0169 * cbo 
	+ 0.0154 * rfc 
	+ 0.0011 * lcom 
	- 0.0123 * ca 
	- 0.0061 * ce 
	- 0.0344 * npm 
	- 0.0201 * lcom3 
	+ 0.0005 * loc 
	+ 3.8625 * mfa 
	- 0.0396 * ic 
	+ 0.001 * max_cc 
	- 2.8024

LM num: 9
bug = 
	-0.0892 * wmc 
	+ 0.0074 * dit 
	+ 0.0169 * cbo 
	+ 0.0171 * rfc 
	+ 0.0011 * lcom 
	- 0.0123 * ca 
	- 0.0061 * ce 
	- 0.0344 * npm 
	- 0.0201 * lcom3 
	+ 0.0005 * loc 
	- 0.2193 * mfa 
	- 0.0396 * ic 
	+ 0.001 * max_cc 
	+ 1.25

LM num: 10
bug = 
	0.0076 * wmc 
	- 0.1488 * dit 
	+ 0.0166 * cbo 
	+ 0.0013 * rfc 
	+ 0.0001 * lcom 
	- 0.0123 * ca 
	- 0.0061 * ce 
	- 0.0087 * npm 
	- 0.0201 * lcom3 
	+ 0.0004 * loc 
	+ 0.0254 * mfa 
	+ 0.5929 * cam 
	- 0.0396 * ic 
	+ 0.001 * max_cc 
	+ 0.4336

LM num: 11
bug = 
	-0.0175 * wmc 
	- 0.2876 * dit 
	+ 0.0365 * cbo 
	- 0.0048 * rfc 
	- 0.0001 * lcom 
	- 0.0051 * ca 
	- 0.007 * npm 
	- 0.1389 * lcom3 
	+ 0.0002 * loc 
	- 0.7546 * dam 
	+ 0.8976 * mfa 
	- 1.4668 * cam 
	- 0.1229 * ic 
	- 0.1005 * cbm 
	+ 0.0024 * amc 
	+ 0.0022 * max_cc 
	+ 3.579

LM num: 12
bug = 
	-0.0066 * wmc 
	- 0.2876 * dit 
	+ 0.0528 * cbo 
	- 0.0104 * rfc 
	- 0.0001 * lcom 
	- 0.0051 * ca 
	- 0.007 * npm 
	- 0.1389 * lcom3 
	+ 0.0002 * loc 
	- 0.1042 * dam 
	+ 0.8976 * mfa 
	- 1.4668 * cam 
	- 0.1229 * ic 
	- 0.1005 * cbm 
	+ 0.0042 * amc 
	+ 0.0022 * max_cc 
	+ 2.4453

LM num: 13
bug = 
	-0.0675 * wmc 
	- 0.4901 * dit 
	+ 0.0154 * cbo 
	- 0.0001 * rfc 
	- 0.0005 * lcom 
	- 0.0051 * ca 
	+ 0.004 * npm 
	- 0.1389 * lcom3 
	+ 0.0003 * loc 
	- 0.2387 * dam 
	+ 1.1612 * mfa 
	- 2.5316 * cam 
	- 0.1229 * ic 
	- 0.2302 * cbm 
	+ 0.0022 * max_cc 
	+ 4.0252

LM num: 14
bug = 
	-0.0553 * wmc 
	- 0.4901 * dit 
	+ 0.0154 * cbo 
	- 0.0001 * rfc 
	- 0.0005 * lcom 
	- 0.0051 * ca 
	+ 0.004 * npm 
	- 0.1389 * lcom3 
	+ 0.0003 * loc 
	- 0.2387 * dam 
	+ 1.1612 * mfa 
	- 2.5316 * cam 
	- 0.1229 * ic 
	- 0.2302 * cbm 
	+ 0.0022 * max_cc 
	+ 3.7048

LM num: 15
bug = 
	-0.0093 * wmc 
	- 0.3689 * dit 
	+ 0.0311 * cbo 
	+ 0.0049 * rfc 
	+ 0.0006 * lcom 
	- 0.0051 * ca 
	- 0.0464 * ce 
	- 0.0206 * npm 
	- 0.4481 * lcom3 
	+ 0.0012 * loc 
	+ 0.9091 * mfa 
	- 0.8587 * cam 
	- 0.1526 * ic 
	+ 0.0052 * amc 
	+ 0.0022 * max_cc 
	+ 3.0935

LM num: 16
bug = 
	-0.0227 * wmc 
	- 0.3689 * dit 
	+ 0.0176 * cbo 
	+ 0.0049 * rfc 
	+ 0.0011 * lcom 
	- 0.0051 * ca 
	- 0.0214 * ce 
	- 0.0206 * npm 
	- 2.5022 * lcom3 
	+ 0 * loc 
	+ 0.9091 * mfa 
	- 0.8587 * cam 
	- 0.7681 * ic 
	+ 0.0052 * amc 
	+ 0.0022 * max_cc 
	+ 6.4847

Number of Rules : 16

Time taken to build model: 0.52 seconds
Time taken to test model on training data: 0.02 seconds

=== Error on training data ===

Correlation coefficient                  0.7818
Mean absolute error                      0.6666
Root mean squared error                  0.9883
Relative absolute error                 63.9629 %
Root relative squared error             63.5661 %
Total Number of Instances              410     


poi 
Options: -M 4.0 

M5 pruned model tree:
(using smoothed linear models)

max_cc <= 3.5 : 
|   cbm <= 1.5 : LM1 (334/39.821%)
|   cbm >  1.5 : 
|   |   cbm <= 5.5 : 
|   |   |   cbo <= 4.5 : 
|   |   |   |   lcom <= 9.5 : LM2 (11/47.378%)
|   |   |   |   lcom >  9.5 : 
|   |   |   |   |   dit <= 2.5 : 
|   |   |   |   |   |   ce <= 2.5 : LM3 (16/91.255%)
|   |   |   |   |   |   ce >  2.5 : LM4 (11/43.388%)
|   |   |   |   |   dit >  2.5 : LM5 (8/50.926%)
|   |   |   cbo >  4.5 : 
|   |   |   |   amc <= 20.043 : LM6 (27/42.191%)
|   |   |   |   amc >  20.043 : LM7 (7/71.009%)
|   |   cbm >  5.5 : 
|   |   |   ca <= 2.5 : LM8 (243/55.886%)
|   |   |   ca >  2.5 : 
|   |   |   |   lcom3 <= 0.816 : LM9 (23/86.404%)
|   |   |   |   lcom3 >  0.816 : LM10 (38/52.622%)
max_cc >  3.5 : LM11 (218/140.571%)

LM num: 1
bug = 
	-0.0003 * wmc 
	+ 0.0768 * dit 
	- 0.0005 * cbo 
	+ 0.0006 * rfc 
	- 0 * lcom 
	+ 0.0005 * ca 
	+ 0.0003 * ce 
	+ 0.0337 * npm 
	- 0.0006 * loc 
	+ 0.0075 * mfa 
	- 0.0086 * cam 
	+ 0.0026 * cbm 
	+ 0.0069 * amc 
	+ 0.0134

LM num: 2
bug = 
	-0.0655 * wmc 
	- 0.1884 * dit 
	- 0.1122 * cbo 
	+ 0.0019 * rfc 
	+ 0.0051 * lcom 
	+ 0.1148 * ca 
	+ 0.0232 * ce 
	+ 0.0009 * npm 
	+ 0.1185 * lcom3 
	+ 0.0025 * loc 
	- 0.2964 * mfa 
	- 0.0086 * cam 
	+ 0.0023 * cbm 
	- 0.0213 * amc 
	+ 2.2816

LM num: 3
bug = 
	-0.0655 * wmc 
	- 0.6421 * dit 
	- 0.1122 * cbo 
	+ 0.0287 * rfc 
	- 0.001 * lcom 
	+ 0.1148 * ca 
	- 0.4548 * ce 
	+ 0.0009 * npm 
	+ 0.1185 * lcom3 
	+ 0.0061 * loc 
	- 0.2964 * mfa 
	- 0.0086 * cam 
	+ 0.0023 * cbm 
	+ 0.0508 * amc 
	+ 4.2231

LM num: 4
bug = 
	-0.0655 * wmc 
	- 0.6421 * dit 
	- 0.1122 * cbo 
	+ 0.0287 * rfc 
	+ 0.0042 * lcom 
	+ 0.1148 * ca 
	- 0.512 * ce 
	+ 0.0009 * npm 
	+ 0.1185 * lcom3 
	+ 0.0068 * loc 
	- 0.2964 * mfa 
	- 0.0086 * cam 
	+ 0.0023 * cbm 
	- 0.0213 * amc 
	+ 4.1474

LM num: 5
bug = 
	-0.0655 * wmc 
	- 1.017 * dit 
	- 0.1122 * cbo 
	+ 0.0508 * rfc 
	- 0.0005 * lcom 
	+ 0.1148 * ca 
	- 0.3069 * ce 
	+ 0.0009 * npm 
	+ 0.1185 * lcom3 
	+ 0.0025 * loc 
	- 0.2964 * mfa 
	- 0.0086 * cam 
	+ 0.0023 * cbm 
	- 0.0213 * amc 
	+ 4.6147

LM num: 6
bug = 
	-0.0807 * wmc 
	- 0.2358 * dit 
	- 0.1308 * cbo 
	+ 0.0019 * rfc 
	+ 0.0031 * lcom 
	+ 0.1148 * ca 
	+ 0.0082 * ce 
	+ 0.0009 * npm 
	+ 0.1185 * lcom3 
	+ 0.0031 * loc 
	- 0.2964 * mfa 
	+ 0.4997 * cam 
	+ 0.0023 * cbm 
	- 0.0163 * amc 
	+ 2.0054

LM num: 7
bug = 
	-0.0807 * wmc 
	- 0.2358 * dit 
	- 0.1477 * cbo 
	+ 0.0019 * rfc 
	+ 0.0031 * lcom 
	+ 0.1148 * ca 
	+ 0.0082 * ce 
	+ 0.0009 * npm 
	+ 0.1185 * lcom3 
	+ 0.0031 * loc 
	- 0.2964 * mfa 
	+ 3.8182 * cam 
	+ 0.0023 * cbm 
	- 0.007 * amc 
	+ 1.0503

LM num: 8
bug = 
	-0.0067 * wmc 
	+ 0.005 * dit 
	- 0.0338 * cbo 
	+ 0.0019 * rfc 
	+ 0 * lcom 
	+ 0.0421 * ca 
	+ 0.0253 * ce 
	+ 0.0009 * npm 
	+ 0.0353 * lcom3 
	+ 0.0001 * loc 
	- 0.2814 * mfa 
	- 0.0086 * cam 
	+ 0.0023 * cbm 
	- 0.0023 * amc 
	+ 1.0974

LM num: 9
bug = 
	-0.0128 * wmc 
	+ 0.005 * dit 
	- 0.0338 * cbo 
	+ 0.0042 * rfc 
	+ 0.0001 * lcom 
	+ 0.3398 * ca 
	+ 0.0253 * ce 
	+ 0.0009 * npm 
	+ 0.0353 * lcom3 
	- 0.0001 * loc 
	- 0.7566 * mfa 
	- 0.0086 * cam 
	+ 0.0023 * cbm 
	- 0.0085 * amc 
	+ 0.7416

LM num: 10
bug = 
	-0.0148 * wmc 
	+ 0.005 * dit 
	- 0.0338 * cbo 
	+ 0.0042 * rfc 
	+ 0.0001 * lcom 
	+ 0.1192 * ca 
	+ 0.0253 * ce 
	+ 0.0009 * npm 
	+ 0.0353 * lcom3 
	+ 0 * loc 
	- 0.7566 * mfa 
	- 0.0086 * cam 
	+ 0.0023 * cbm 
	- 0.0085 * amc 
	+ 1.3509

LM num: 11
bug = 
	-0.0704 * wmc 
	- 0.0407 * cbo 
	+ 0.0403 * rfc 
	+ 0.0016 * ca 
	+ 0.0356 * ce 
	- 0.0012 * npm 
	+ 1.0648 * lcom3 
	+ 0.0008 * loc 
	+ 0.0235 * mfa 
	- 0.0271 * cam 
	- 0.0137 * amc 
	- 0.238 * avg_cc 
	+ 0.8395

Number of Rules : 11

Time taken to build model: 1.01 seconds
Time taken to test model on training data: 0.03 seconds

=== Error on training data ===

Correlation coefficient                  0.5666
Mean absolute error                      0.8747
Root mean squared error                  1.3426
Relative absolute error                 85.6697 %
Root relative squared error             82.4614 %
Total Number of Instances              936     


pbeans 
Options: -M 4.0 

M5 pruned model tree:
(using smoothed linear models)
LM1 (26/54.17%)

LM num: 1
bug = 
	0.2021 * ce 
	- 1.0179 * cam 
	+ 0.0728 * max_cc 
	+ 1.2218

Number of Rules : 1

Time taken to build model: 0.11 seconds
Time taken to test model on training data: 0.02 seconds

=== Error on training data ===

Correlation coefficient                  0.8406
Mean absolute error                      0.4942
Root mean squared error                  0.6562
Relative absolute error                 51.2432 %
Root relative squared error             54.1697 %
Total Number of Instances               26     


lucene 
Options: -M 4.0 

M5 pruned model tree:
(using smoothed linear models)

rfc <= 33.5 : 
|   rfc <= 12.5 : LM1 (165/28.216%)
|   rfc >  12.5 : 
|   |   cbo <= 7.5 : LM2 (114/32.495%)
|   |   cbo >  7.5 : LM3 (72/48.701%)
rfc >  33.5 : LM4 (91/117.992%)

LM num: 1
bug = 
	0.0942 * wmc 
	- 0.023 * cbo 
	+ 0.0046 * rfc 
	+ 0.0232 * ca 
	+ 0.0209 * ce 
	- 0.0026 * npm 
	- 0.0002 * loc 
	+ 0.2754 * dam 
	+ 0.0464 * mfa 
	+ 1.3198 * cam 
	- 0.0106 * cbm 
	+ 0.0172 * amc 
	- 0.0237 * avg_cc 
	- 0.8953

LM num: 2
bug = 
	0.0185 * wmc 
	- 0.0378 * cbo 
	+ 0.0045 * rfc 
	+ 0.0403 * ca 
	+ 0.04 * ce 
	+ 0.0033 * npm 
	- 0.0002 * loc 
	+ 0.3971 * dam 
	- 0.168 * moa 
	+ 0.7289 * mfa 
	+ 0.4136 * cam 
	- 0.0106 * cbm 
	+ 0.0026 * amc 
	- 0.0237 * avg_cc 
	+ 0.0132

LM num: 3
bug = 
	0.0814 * wmc 
	- 0.0453 * cbo 
	+ 0.055 * rfc 
	+ 0.049 * ca 
	+ 0.0497 * ce 
	+ 0.0062 * npm 
	- 0.0002 * loc 
	- 0.9883 * dam 
	+ 0.0464 * mfa 
	+ 3.6125 * cam 
	- 0.0106 * cbm 
	+ 0.0026 * amc 
	- 0.0237 * avg_cc 
	- 1.3382

LM num: 4
bug = 
	0.0363 * wmc 
	- 0.0509 * cbo 
	+ 0.1699 * rfc 
	+ 0.0481 * ca 
	- 0.3519 * ce 
	- 0.009 * npm 
	+ 0.0022 * loc 
	- 0.1191 * dam 
	+ 0.1601 * mfa 
	+ 0.3416 * cam 
	- 0.0368 * cbm 
	+ 0.0032 * amc 
	+ 0.0839 * max_cc 
	- 2.5659 * avg_cc 
	+ 0.1106

Number of Rules : 4

Time taken to build model: 0.56 seconds
Time taken to test model on training data: 0.02 seconds

=== Error on training data ===

Correlation coefficient                  0.7907
Mean absolute error                      1.1731
Root mean squared error                  2.0027
Relative absolute error                 69.2757 %
Root relative squared error             61.2628 %
Total Number of Instances              442     


log4j 
Options: -M 4.0 

M5 pruned model tree:
(using smoothed linear models)

wmc <= 9.5 : LM1 (189/38.623%)
wmc >  9.5 : LM2 (55/92.71%)

LM num: 1
bug = 
	-0.0065 * wmc 
	- 0.0832 * dit 
	- 0.0093 * noc 
	+ 0.0059 * cbo 
	+ 0.0115 * rfc 
	+ 0.0005 * lcom 
	+ 0.031 * ca 
	- 0.0035 * ce 
	+ 0.0076 * npm 
	+ 0.0001 * loc 
	+ 0.01 * moa 
	+ 0.0168 * ic 
	- 0.0006 * amc 
	+ 0.0736

LM num: 2
bug = 
	0.0611 * wmc 
	- 0.0362 * dit 
	- 0.2504 * noc 
	+ 0.0525 * cbo 
	+ 0.0041 * rfc 
	+ 0.0013 * lcom 
	- 0.0094 * ca 
	+ 0.0884 * ce 
	+ 0.0223 * npm 
	+ 0.0002 * loc 
	+ 0.279 * moa 
	+ 0.049 * ic 
	- 0.0016 * amc 
	- 1.086

Number of Rules : 2

Time taken to build model: 0.33 seconds
Time taken to test model on training data: 0.01 seconds

=== Error on training data ===

Correlation coefficient                  0.8331
Mean absolute error                      0.455 
Root mean squared error                  0.7229
Relative absolute error                 53.2594 %
Root relative squared error             55.3371 %
Total Number of Instances              244     


jedit 
Options: -M 4.0 

M5 pruned model tree:
(using smoothed linear models)

loc <= 496.5 : 
|   rfc <= 15.5 : 
|   |   ic <= 0.5 : LM1 (284/14.215%)
|   |   ic >  0.5 : LM2 (153/0%)
|   rfc >  15.5 : LM3 (563/36.013%)
loc >  496.5 : LM4 (257/139.037%)

LM num: 1
bug = 
	-0.0019 * wmc 
	- 0.0021 * dit 
	- 0.0085 * cbo 
	+ 0.0006 * rfc 
	+ 0 * lcom 
	+ 0.0081 * ca 
	+ 0.0083 * ce 
	+ 0.002 * npm 
	+ 0.006 * lcom3 
	+ 0 * loc 
	+ 0.013 * dam 
	+ 0.0009 * moa 
	- 0.0782 * mfa 
	+ 0.0098 * cam 
	+ 0.0003 * max_cc 
	+ 0.0022 * avg_cc 
	+ 0.0871

LM num: 2
bug = 
	-0.0019 * wmc 
	- 0.0021 * dit 
	- 0.0108 * cbo 
	+ 0.0006 * rfc 
	+ 0 * lcom 
	+ 0.0104 * ca 
	+ 0.0107 * ce 
	+ 0.002 * npm 
	+ 0.006 * lcom3 
	+ 0 * loc 
	+ 0.013 * dam 
	+ 0.0009 * moa 
	- 0.0071 * mfa 
	+ 0.0098 * cam 
	+ 0.0003 * max_cc 
	+ 0.0022 * avg_cc 
	- 0.0114

LM num: 3
bug = 
	-0.0017 * wmc 
	- 0.0021 * dit 
	- 0.0977 * cbo 
	+ 0.0006 * rfc 
	+ 0 * lcom 
	+ 0.0925 * ca 
	+ 0.1101 * ce 
	+ 0.0018 * npm 
	+ 0.0054 * lcom3 
	+ 0 * loc 
	+ 0.2706 * dam 
	+ 0.0009 * moa 
	- 0.2161 * mfa 
	+ 0.0098 * cam 
	+ 0.0001 * max_cc 
	+ 0.0826 * avg_cc 
	+ 0.0282

LM num: 4
bug = 
	-0.0465 * wmc 
	- 0.4294 * dit 
	- 0.142 * cbo 
	+ 0.0247 * rfc 
	+ 0 * lcom 
	+ 0.138 * ca 
	+ 0.1211 * ce 
	+ 0.0914 * npm 
	+ 0.0122 * lcom3 
	+ 0 * loc 
	+ 2.3374 * dam 
	+ 0.0034 * moa 
	+ 2.7811 * mfa 
	+ 0.0366 * cam 
	+ 0.0074 * amc 
	- 0.0012 * max_cc 
	+ 0.302 * avg_cc 
	- 3.461

Number of Rules : 4

Time taken to build model: 1.16 seconds
Time taken to test model on training data: 0.04 seconds

=== Error on training data ===

Correlation coefficient                  0.7364
Mean absolute error                      0.7214
Root mean squared error                  1.7043
Relative absolute error                 63.4351 %
Root relative squared error             67.654  %
Total Number of Instances             1257     


ivy 
Options: -M 4.0 

M5 pruned model tree:
(using smoothed linear models)
LM1 (352/71.481%)

LM num: 1
bug = 
	-0.2404 * wmc 
	+ 0.1791 * noc 
	- 0.2013 * cbo 
	+ 0.0426 * rfc 
	- 0.0027 * lcom 
	+ 0.2099 * ca 
	+ 0.1665 * ce 
	+ 0.1814 * npm 
	+ 0.0061 * loc 
	+ 0.3605 * moa 
	- 0.0284 * amc 
	- 0.1214 * max_cc 
	+ 0.0837

Number of Rules : 1

Time taken to build model: 0.39 seconds
Time taken to test model on training data: 0.01 seconds

=== Error on training data ===

Correlation coefficient                  0.6993
Mean absolute error                      1.0724
Root mean squared error                  1.9442
Relative absolute error                 96.9544 %
Root relative squared error             71.4807 %
Total Number of Instances              352     


forrest 
Options: -M 4.0 

M5 pruned model tree:
(using smoothed linear models)

cbo <= 13.5 : LM1 (27/21.808%)
cbo >  13.5 : LM2 (8/154.472%)

LM num: 1
bug = 
	0.0263 * cbo 
	- 0.0193

LM num: 2
bug = 
	0.048 * cbo 
	- 3.5662 * mfa 
	+ 2.4971

Number of Rules : 2

Time taken to build model: 0.13 seconds
Time taken to test model on training data: 0.01 seconds

=== Error on training data ===

Correlation coefficient                  0.5764
Mean absolute error                      0.5611
Root mean squared error                  1.2227
Relative absolute error                 74.0664 %
Root relative squared error             84.844  %
Total Number of Instances               35     


camel 
Options: -M 4.0 

M5 pruned model tree:
(using smoothed linear models)
LM1 (1819/87.544%)

LM num: 1
bug = 
	-0.1185 * wmc 
	+ 0.0619 * noc 
	- 0.0441 * cbo 
	+ 0.0082 * rfc 
	+ 0.0009 * lcom 
	+ 0.0505 * ca 
	+ 0.0529 * ce 
	+ 0.0888 * npm 
	+ 0.0035 * loc 
	- 0.214 * dam 
	+ 0.1408 * moa 
	+ 0.2681 * mfa 
	- 0.2249 * ic 
	+ 0.1488 * cbm 
	- 0.0115 * amc 
	- 0.0468 * max_cc 
	+ 0.2241 * avg_cc 
	+ 0.0455

Number of Rules : 1

Time taken to build model: 1.64 seconds
Time taken to test model on training data: 0.07 seconds

=== Error on training data ===

Correlation coefficient                  0.4833
Mean absolute error                      0.6722
Root mean squared error                  1.2556
Relative absolute error                 88.3623 %
Root relative squared error             87.5436 %
Total Number of Instances             1819     


ant 
Options: -M 4.0 

M5 pruned model tree:
(using smoothed linear models)

loc <= 428 : LM1 (723/45.484%)
loc >  428 : LM2 (224/153.676%)

LM num: 1
bug = 
	-0.0004 * wmc 
	- 0.0212 * dit 
	- 0.0005 * cbo 
	+ 0.0058 * rfc 
	+ 0.0005 * ca 
	+ 0.0006 * ce 
	+ 0.0001 * npm 
	+ 0.0012 * lcom3 
	+ 0 * loc 
	- 0.0028 * ic 
	+ 0.0015 * cbm 
	- 0.0012 * avg_cc 
	+ 0.064

LM num: 2
bug = 
	-0.0012 * wmc 
	- 0.0021 * dit 
	+ 0.0128 * cbo 
	+ 0.0154 * rfc 
	- 0.0174 * ca 
	+ 0.0019 * ce 
	+ 0.0003 * npm 
	+ 0.0037 * lcom3 
	+ 0 * loc 
	- 0.2354 * ic 
	+ 0.1206 * cbm 
	- 0.0036 * avg_cc 
	- 0.2838

Number of Rules : 2

Time taken to build model: 0.91 seconds
Time taken to test model on training data: 0.03 seconds

=== Error on training data ===

Correlation coefficient                  0.5334
Mean absolute error                      0.3818
Root mean squared error                  0.7054
Relative absolute error                 75.0404 %
Root relative squared error             84.589  %
Total Number of Instances              947