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: 61 Merit of best subset found: 0.231 Attribute Subset Evaluator (supervised, Class (nominal): 11 binaryClass): CFS Subset Evaluator Including locally predictive attributes Selected attributes: 1,2,4 : 3 oz1 oz2 oz4 Header of reduced data: @relation 'fri_c4_500_10-weka.filters.unsupervised.attribute.Remove-V-R1-2,4,11' @attribute oz1 numeric @attribute oz2 numeric @attribute oz4 numeric @attribute binaryClass {P,N} @data Classifier Model Sigmoid Node 0 Inputs Weights Threshold 0.5034331273864564 Node 2 -2.5909196168294306 Sigmoid Node 1 Inputs Weights Threshold -0.5034331273864567 Node 2 2.590919616829432 Sigmoid Node 2 Inputs Weights Threshold -0.9561788005742738 Attrib oz1 0.561527046562046 Attrib oz2 -1.2383194791196626 Attrib oz4 3.8710281377101516 Class P Input Node 0 Class N Input Node 1