AttributeSelectedClassifier: === Attribute Selection on all input data === Search Method: Best first. Start set: no attributes Search direction: forward Stale search after 5 node expansions Total number of subsets evaluated: 39 Merit of best subset found: 0.053 Attribute Subset Evaluator (supervised, Class (nominal): 9 decision): CFS Subset Evaluator Including locally predictive attributes Selected attributes: 2,3,4,6,7,8 : 6 L-SURF L-O2 L-BP CORE-STBL BP-STBL COMFORT Header of reduced data: @relation 'postoperative-patient-data-weka.filters.unsupervised.attribute.Remove-V-R2-4,6-9' @attribute L-SURF {high,low,mid} @attribute L-O2 {excellent,good} @attribute L-BP {high,low,mid} @attribute CORE-STBL {mod-stable,stable,unstable} @attribute BP-STBL {mod-stable,stable,unstable} @attribute COMFORT {05,07,10,15} @attribute decision {A,I,S} @data Classifier Model J48 pruned tree ------------------ : A (90.0/26.0) Number of Leaves : 1 Size of the tree : 1