File stem <tr.data>
**  -a : Anneal rate = 0.99500
**  -f : Train file: tr.data 
**  -t : Test file ts.data 
**  -v : Verbose flag

Decision for 4 instances
  Number of encoded vars + threshold = 9
  Accuracy 1.0000 based on 8 variables
  Accuracy 1.0000 based on 7 variables
  Accuracy 1.0000 based on 6 variables
  Accuracy 1.0000 based on 5 variables
  Accuracy 1.0000 based on 4 variables
  Accuracy 0.7500 based on 3 variables
  Accuracy 0.7500 based on 2 variables
  Accuracy 0.7500 based on 1 variables
LM: 2 variables, 4 instances, accuracy =  0.750

Leaf 2 for 1 instances
Decision for 3 instances
  Number of encoded vars + threshold = 7
  Accuracy 1.0000 based on 6 variables
  Accuracy 1.0000 based on 5 variables
  Accuracy 1.0000 based on 4 variables
  Accuracy 1.0000 based on 3 variables
  Accuracy 1.0000 based on 2 variables
  Accuracy 1.0000 based on 1 variables
  Accuracy -0.0000 based on 0 variables
LM: 1 variables, 3 instances, accuracy =  1.000

Leaf 1 for 2 instances
Leaf 2 for 1 instances


Classes:  2  1  
Variables:
  rachete bomboane

LM [4,0.750]:  
   2: ninsts = 1
   1: LM [3,1.000]:  
      1: ninsts = 2
      2: ninsts = 1


Number Epochs : 210.25
Num Insts seen: 3165
Num Insts trnd: 841
Number nodes  : 2
Number of LVs : 3
Unique vars   : 1
Ave. vars/LM  :  1.50
Train accuracy: 100.00
Test accuracy : 75.00
Train errors  |   0.0
Test errors   |   1.0
Time          :  0