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: 58 Merit of best subset found: 0.334 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_c3_250_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 Logistic Regression with ridge parameter of 1.0E-8 Coefficients... Class Variable P ==================== oz1 -0.0091 oz2 0.4663 oz4 -0.7305 Intercept -0.1819 Odds Ratios... Class Variable P ==================== oz1 0.991 oz2 1.5942 oz4 0.4817