Decision Tree Weka J.48 Feedback.

[BlackSholes]

Dear all

I am new in Weka and conducted a research for default prediction. I constructed a tree. However, i would like to know some evaluation methods besides how accurate it is.
The tree has 67 leaves and the size is 133

=== Summary ===

Correctly Classified Instances        2319               81.3114 %
Incorrectly Classified Instances       533               18.6886 %
Kappa statistic                          0.5954
Mean absolute error                      0.2687
Root mean squared error                  0.3666
Relative absolute error                 58.9575 %
Root relative squared error             76.7864 %
Total Number of Instances             2852     


=== Detailed Accuracy By Class ===


                 TP Rate  FP Rate  Precision  Recall   F-Measure  MCC      ROC Area  PRC Area  Class
                 0,763    0,160    0,721      0,763    0,742      0,596    0,869     0,740     Default
                 0,840    0,237    0,868      0,840    0,854      0,596    0,869     0,909     Paid
Weighted Avg.    0,813    0,210    0,816      0,813    0,814      0,596    0,869     0,850     


=== Confusion Matrix ===


    a    b   <-- classified as
  765  237 |    a = Default
  296 1554 |    b = Paid

I would really appreciate a feedback.

Best Regards

Black Sholes

[Mark]

You can read up on the metrics output by Weka. Here is a link to information retrieval metrics on Wikipedia. You can google the others:

https://en.wikipedia.org/wiki/Information_retrieval

Cheers,
Mark.