=== 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-B10-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: =========== (27 <= 1.826) and (51 >= 634.37) and (16 <= 414.2426) => SECOMoutlier='(0.799152-0.899046]' (18.0/6.0) (366 >= 0.0094) and (443 >= 1.4958) => SECOMoutlier='(0.799152-0.899046]' (19.0/9.0) (446 >= 0.8698) and (38 >= 66.2273) and (17 <= 10.2893) => SECOMoutlier='(0.799152-0.899046]' (9.0/1.0) (26 <= 0.9333) => SECOMoutlier='(0.899046-inf)' (33.0/13.0) (333 >= 5.8938) => SECOMoutlier='(0.899046-inf)' (18.0/4.0) (223 >= 0.0658) and (433 <= 42.4219) => SECOMoutlier='(0.899046-inf)' (9.0/0.0) (153 >= 1.5204) and (16 <= 405.8875) => SECOMoutlier='(0.899046-inf)' (7.0/1.0) (115 >= 0.0051) => SECOMoutlier='(0.899046-inf)' (7.0/2.0) (23 <= 2606.25) and (35 >= 50.8506) and (182 >= 0.568) => SECOMoutlier='(0.699258-0.799152]' (11.0/1.0) (321 >= 0.0577) and (313 >= 0.1518) and (321 <= 0.0665) => SECOMoutlier='(0.699258-0.799152]' (11.0/1.0) (49 <= 132.34) and (308 <= 0.1238) and (114 >= 0.9439) => SECOMoutlier='(0.599364-0.699258]' (12.0/2.0) (335 >= 0.1405) and (40 >= 118.8018) and (501 >= 633.3333) and (181 <= 17.8) => SECOMoutlier='(0.599364-0.699258]' (15.0/2.0) (215 >= 0.1092) and (121 <= 6.2882) and (498 <= 12.4167) and (114 >= 0.9413) => SECOMoutlier='(0.599364-0.699258]' (13.0/1.0) (62 <= 10.2481) and (457 >= 12.4497) and (87 <= 2.373) => SECOMoutlier='(0.49947-0.599364]' (18.0/4.0) (339 <= 2.2621) and (298 <= 516.6059) and (78 <= -0.01) and (360 <= 0.0145) => SECOMoutlier='(-inf-0.099894]' (29.0/8.0) (300 <= 0.0375) and (481 <= 55.8843) and (484 <= 70.6032) => SECOMoutlier='(0.399576-0.49947]' (27.0/10.0) => SECOMoutlier='(0.299682-0.399576]' (1137.0/966.0) Number of Rules : 17 Time taken to build model: 24.61 seconds === Stratified cross-validation === === Summary === Correctly Classified Instances 213 15.2907 % Incorrectly Classified Instances 1180 84.7093 % Kappa statistic 0.0335 Mean absolute error 0.1749 Root mean squared error 0.303 Relative absolute error 97.5585 % Root relative squared error 101.224 % Total Number of Instances 1393 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.037 0.012 0.286 0.037 0.066 0.561 '(-inf-0.099894]' 0 0 0 0 0 0.565 '(0.099894-0.199788]' 0 0 0 0 0 0.515 '(0.199788-0.299682]' 0.898 0.87 0.131 0.898 0.228 0.518 '(0.299682-0.399576]' 0.045 0.029 0.186 0.045 0.073 0.528 '(0.399576-0.49947]' 0 0 0 0 0 0.51 '(0.49947-0.599364]' 0.039 0.007 0.357 0.039 0.07 0.518 '(0.599364-0.699258]' 0.032 0.009 0.25 0.032 0.056 0.561 '(0.699258-0.799152]' 0.071 0.005 0.5 0.071 0.125 0.517 '(0.799152-0.899046]' 0.205 0.035 0.357 0.205 0.26 0.576 '(0.899046-inf)' Weighted Avg. 0.153 0.12 0.19 0.153 0.088 0.536 === Confusion Matrix === a b c d e f g h i j <-- classified as 6 0 0 148 3 0 2 0 0 2 | a = '(-inf-0.099894]' 1 0 0 120 1 0 0 0 0 2 | b = '(0.099894-0.199788]' 1 0 0 130 3 0 1 0 0 3 | c = '(0.199788-0.299682]' 2 0 0 159 7 0 2 3 1 3 | d = '(0.299682-0.399576]' 4 0 0 161 8 0 1 1 0 1 | e = '(0.399576-0.49947]' 3 0 0 140 5 0 0 3 1 4 | f = '(0.49947-0.599364]' 2 0 0 111 4 0 5 1 1 5 | g = '(0.599364-0.699258]' 1 0 0 108 2 0 1 4 0 10 | h = '(0.699258-0.799152]' 0 0 0 56 6 0 1 0 6 15 | i = '(0.799152-0.899046]' 1 0 0 84 4 0 1 4 3 25 | j = '(0.899046-inf)'