=== Run information ===

Scheme:       weka.classifiers.trees.J48 -U -B -M 1
Relation:     SPECT
Instances:    187
Attributes:   23
              attr1
              attr2
              attr3
              attr4
              attr5
              attr6
              attr7
              attr8
              attr9
              attr10
              attr11
              attr12
              attr13
              attr14
              attr15
              attr16
              attr17
              attr18
              attr19
              attr20
              attr21
              attr22
              class
Test mode:    evaluate on training data

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

J48 unpruned tree
------------------

attr13 = t
|   attr22 = t: p (66.0)
|   attr22 != t
|   |   attr10 = t: p (20.0)
|   |   attr10 != t
|   |   |   attr5 = t: p (2.0/1.0)
|   |   |   attr5 != t
|   |   |   |   attr21 = t
|   |   |   |   |   attr3 = t
|   |   |   |   |   |   attr12 = t: p (2.0)
|   |   |   |   |   |   attr12 != t: n (1.0)
|   |   |   |   |   attr3 != t: p (2.0)
|   |   |   |   attr21 != t: p (11.0)
attr13 != t
|   attr1 = t
|   |   attr8 = t
|   |   |   attr4 = t: p (3.0)
|   |   |   attr4 != t
|   |   |   |   attr2 = t: p (1.0)
|   |   |   |   attr2 != t: n (1.0)
|   |   attr8 != t
|   |   |   attr5 = t: p (31.0)
|   |   |   attr5 != t
|   |   |   |   attr2 = t
|   |   |   |   |   attr7 = t: p (2.0)
|   |   |   |   |   attr7 != t: n (1.0)
|   |   |   |   attr2 != t: p (4.0)
|   attr1 != t
|   |   attr10 = t: n (1.0)
|   |   attr10 != t
|   |   |   attr7 = t: p (6.0)
|   |   |   attr7 != t
|   |   |   |   attr11 = t: p (4.0)
|   |   |   |   attr11 != t
|   |   |   |   |   attr16 = t: p (2.0)
|   |   |   |   |   attr16 != t
|   |   |   |   |   |   attr17 = t: p (2.0)
|   |   |   |   |   |   attr17 != t
|   |   |   |   |   |   |   attr19 = t: n (1.0)
|   |   |   |   |   |   |   attr19 != t
|   |   |   |   |   |   |   |   attr22 = t: p (6.0)
|   |   |   |   |   |   |   |   attr22 != t
|   |   |   |   |   |   |   |   |   attr14 = t: n (1.0)
|   |   |   |   |   |   |   |   |   attr14 != t
|   |   |   |   |   |   |   |   |   |   attr21 = t: p (1.0)
|   |   |   |   |   |   |   |   |   |   attr21 != t
|   |   |   |   |   |   |   |   |   |   |   attr20 = t: p (4.0/1.0)
|   |   |   |   |   |   |   |   |   |   |   attr20 != t
|   |   |   |   |   |   |   |   |   |   |   |   attr4 = t: p (1.0)
|   |   |   |   |   |   |   |   |   |   |   |   attr4 != t: n (11.0/4.0)

Number of Leaves  : 	26

Size of the tree : 	51


Time taken to build model: 0 seconds

=== Evaluation on training set ===

Time taken to test model on training data: 0 seconds

=== Summary ===

Correctly Classified Instances         181               96.7914 %
Incorrectly Classified Instances         6                3.2086 %
Kappa statistic                          0.795 
Mean absolute error                      0.0406
Root mean squared error                  0.1425
Relative absolute error                 26.8315 %
Root relative squared error             52.4427 %
Total Number of Instances              187     

=== Detailed Accuracy By Class ===

                 TP Rate  FP Rate  Precision  Recall   F-Measure  MCC      ROC Area  PRC Area  Class
                 0,977    0,133    0,988      0,977    0,982      0,797    0,990     0,999     p
                 0,867    0,023    0,765      0,867    0,813      0,797    0,990     0,849     n
Weighted Avg.    0,968    0,125    0,970      0,968    0,969      0,797    0,990     0,987     

=== Confusion Matrix ===

   a   b   <-- classified as
 168   4 |   a = p
   2  13 |   b = n