FilteredClassifier using weka.classifiers.meta.AttributeSelectedClassifier -E "weka.attributeSelection.CfsSubsetEval -P 1 -E 1" -S "weka.attributeSelection.BestFirst -D 1 -N 5" -W weka.classifiers.meta.Bagging -- -P 100 -S 1 -num-slots 1 -I 10 -W weka.classifiers.trees.DecisionStump on data filtered through weka.filters.unsupervised.attribute.Standardize Filtered Header @relation solar-flare-weka.filters.unsupervised.attribute.Standardize @attribute class {B,C,D,E,F,H} @attribute largest_spot_size {A,H,K,R,S,X} @attribute spot_distribution {C,I,O,X} @attribute Activity {1,2} @attribute Evolution {1,2,3} @attribute Previous_24_hour_flare_activity_code {1,2,3} @attribute Historically-complex {1,2} @attribute Did_region_become_historically_complex {1,2} @attribute Area {1,2} @attribute Area_of_the_largest_spot {1} @attribute C-class_flares_production_by_this_region {0,1,2,3,4,5,6,8} @attribute M-class_flares_production_by_this_region {0,1,2,3,4,5} @attribute X-class_flares_production_by_this_region {0,1,2} @data Classifier Model 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: 68 Merit of best subset found: 0.196 Attribute Subset Evaluator (supervised, Class (nominal): 13 X-class_flares_production_by_this_region): CFS Subset Evaluator Including locally predictive attributes Selected attributes: 9,12 : 2 Area M-class_flares_production_by_this_region Header of reduced data: @relation 'solar-flare-weka.filters.unsupervised.attribute.Standardize-weka.filters.unsupervised.attribute.Remove-V-R9,12-13' @attribute Area {1,2} @attribute M-class_flares_production_by_this_region {0,1,2,3,4,5} @attribute X-class_flares_production_by_this_region {0,1,2} @data Classifier Model Bagging with 10 iterations and base learner weka.classifiers.trees.DecisionStump