=== Run information ===

Scheme:       weka.classifiers.m5.M5Prime -O r -F 2.0 -V 5
Relation:     iris-weka.filters.ResampleFilter-B0.0-S1-Z10.0
Instances:    15
Attributes:   5
              sepallength
              sepalwidth
              petallength
              petalwidth
              class
Test mode:    evaluate on training data

=== Classifier model (full training set) ===

Unpruned training regression tree:

petallength <= 4.05 : 
|   sepalwidth <= 3.45 : LM1 (3/22.5%)
|   sepalwidth >  3.45 : LM2 (3/0%)
petallength >  4.05 : 
|   sepalwidth <= 3.05 : 
|   |   petallength <= 4.75 : LM3 (2/48.1%)
|   |   petallength >  4.75 : LM4 (2/61.9%)
|   sepalwidth >  3.05 : 
|   |   sepalwidth <= 3.2 : LM5 (3/13%)
|   |   sepalwidth >  3.2 : LM6 (2/34.4%)

Models at the leaves:

    LM1:  sepallength = 5.2
    LM2:  sepallength = 5.1
    LM3:  sepallength = 6.25
    LM4:  sepallength = 6.25
    LM5:  sepallength = 6.77
    LM6:  sepallength = 6.95

Pruned training regression tree:

petallength <= 4.05 : LM1 (6/17.3%)
petallength >  4.05 : LM2 (9/58.3%)

Models at the leaves:

  Unsmoothed (simple):

    LM1:  sepallength = 5.15
    LM2:  sepallength = 6.58

Number of Rules : 2

Time taken to build model: 0 seconds

=== Evaluation on training set ===
=== Summary ===

Correlation coefficient                  0.9005
Mean absolute error                      0.2341
Root mean squared error                  0.3377
Relative absolute error                 32.1924 %
Root relative squared error             43.4771 %
Total Number of Instances               15