=== Run information ===

Scheme:weka.classifiers.rules.JRip -F 3 -N 2.0 -O 2 -S 1
Relation:     secom_WEKA-weka.filters.unsupervised.attribute.Remove-R539-540,542-545,547-549-weka.filters.unsupervised.attribute.Discretize-unset-class-temporarily-B3-M-1.0-R539,540-weka.filters.unsupervised.attribute.Remove-R539
Instances:    1393
Attributes:   539
[list of attributes omitted]
Test mode:5-fold cross-validation

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

JRIP rules:
===========

(28 <= 4.9073) => SECOMoutlier='(0.66596-inf)' (47.0/2.0)
(33 >= 86.4883) and (445 <= 0.8227) => SECOMoutlier='(0.66596-inf)' (45.0/10.0)
(197 >= 10.33) and (116 >= 759.8419) and (271 >= 28.962) and (94 >= 0) => SECOMoutlier='(0.66596-inf)' (27.0/4.0)
(366 <= 0.0051) and (34 <= 8.7599) and (215 <= 0.0702) and (49 >= 137.4664) and (29 <= 70.3556) => SECOMoutlier='(-inf-0.33298]' (63.0/10.0)
(225 <= 0.0373) and (213 <= 0.0378) and (100 >= 0.0019) and (409 >= 4.0689) => SECOMoutlier='(-inf-0.33298]' (83.0/21.0)
(48 >= 1.2919) and (103 <= -0.0018) and (521 <= 1.888) and (103 >= -0.0448) and (407 <= 12.8334) => SECOMoutlier='(-inf-0.33298]' (40.0/4.0)
 => SECOMoutlier='(0.33298-0.66596]' (1088.0/576.0)

Number of Rules : 7


Time taken to build model: 7.75 seconds

=== Stratified cross-validation ===
=== Summary ===

Correctly Classified Instances         671               48.1694 %
Incorrectly Classified Instances       722               51.8306 %
Kappa statistic                          0.1816
Mean absolute error                      0.4012
Root mean squared error                  0.4587
Relative absolute error                 91.4317 %
Root relative squared error             97.9237 %
Total Number of Instances             1393     

=== Detailed Accuracy By Class ===

               TP Rate   FP Rate   Precision   Recall  F-Measure   ROC Area  Class
                 0.348     0.179      0.503     0.348     0.411      0.635    '(-inf-0.33298]'
                 0.735     0.594      0.445     0.735     0.555      0.577    '(0.33298-0.66596]'
                 0.277     0.055      0.646     0.277     0.388      0.635    '(0.66596-inf)'
Weighted Avg.    0.482     0.309      0.518     0.482     0.462      0.612

=== Confusion Matrix ===

   a   b   c   <-- classified as
 166 296  15 |   a = '(-inf-0.33298]'
 104 403  41 |   b = '(0.33298-0.66596]'
  60 206 102 |   c = '(0.66596-inf)'