Options: -M 4.0 

M5 pruned model tree:
(using smoothed linear models)

rfc <= 31.5 : LM1 (173/62.946%)
rfc >  31.5 : 
|   cbo <= 22.5 : LM2 (59/72.583%)
|   cbo >  22.5 : 
|   |   rfc <= 94.5 : LM3 (16/103.049%)
|   |   rfc >  94.5 : LM4 (8/232.562%)

LM num: 1
bug = 
	0.0016 * rfc 
	+ 0.2007 * moa 
	+ 0.2105

LM num: 2
bug = 
	0.0031 * rfc 
	+ 0.0138 * ce 
	+ 0.5362

LM num: 3
bug = 
	0.012 * rfc 
	+ 0.0262 * ce 
	- 0.1122 * moa 
	+ 0.3043

LM num: 4
bug = 
	0.0151 * rfc 
	+ 0.0262 * ce 
	- 0.1512 * moa 
	+ 0.6137

Number of Rules : 4

Time taken to build model: 0.3 seconds
Time taken to test model on training data: 0.01 seconds

=== Error on training data ===

Correlation coefficient                  0.5949
Mean absolute error                      0.5619
Root mean squared error                  0.8633
Relative absolute error                 74.693  %
Root relative squared error             80.709  %
Total Number of Instances              256     



=== Cross-validation ===

Correlation coefficient                  0.3969
Mean absolute error                      0.6649
Root mean squared error                  1.0106
Relative absolute error                 88.4151 %
Root relative squared error             94.3887 %
Total Number of Instances              256