Options: -M 4.0 

M5 pruned model tree:
(using smoothed linear models)

rfc <= 35.5 : LM1 (270/49.268%)
rfc >  35.5 : LM2 (70/79.647%)

LM num: 1
bug = 
	0.0029 * rfc 
	+ 0.0373 * ca 
	+ 0.0954 * ce 
	+ 0.0668 * npm 
	+ 0.5495 * ic 
	+ 0.0082 * cbm 
	+ 0.06

LM num: 2
bug = 
	0.0696 * rfc 
	+ 0.0825 * ca 
	+ 0.0062 * npm 
	+ 1.3631 * ic 
	+ 0.2176 * cbm 
	- 2.4013

Number of Rules : 2

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                  0.8222
Mean absolute error                      1.2487
Root mean squared error                  1.6916
Relative absolute error                 67.6238 %
Root relative squared error             56.9374 %
Total Number of Instances              340     



=== Cross-validation ===

Correlation coefficient                  0.7928
Mean absolute error                      1.2899
Root mean squared error                  1.8162
Relative absolute error                 69.2073 %
Root relative squared error             60.7882 %
Total Number of Instances              340