=== Run information ===

Evaluator:    weka.attributeSelection.WrapperSubsetEval -B weka.classifiers.trees.RandomForest -F 5 -T 0.01 -R 1 -E DEFAULT -- -P 100 -I 100 -num-slots 1 -K 0 -M 1.0 -V 0.001 -S 1
Search:       weka.attributeSelection.BestFirst -D 1 -N 5
Relation:     PlacedQuestionMarkCleanedChemicalSHAtmo2-weka.filters.unsupervised.attribute.Remove-R1-2
Instances:    189
Attributes:   54
              ALevelAllHallway
              ALevelDiningroom
              ALevelKitchen
              ALevelLivingroom
              ALevelMainEntry
              ALevelMasterBathroom
              ALevelMasterBedroom
              ALevelMasterOffice
              ALevelOtherBathroom
              ALevelOtherBedroom
              ALevelOtherOffice
              ALevelUtility
              HLabelBathe
              HLabelBed_Toilet_Transition
              HLabelCook
              HLabelEat
              HLabelEnter_Home
              HLabelLeave_Home
              HLabelPersonal_Hygiene
              HLabelRelax
              HLabelSleep
              HLabelTake_Medicine
              HLabelWash_Dishes
              HLabelWork
              HTBathroomATemperature
              HTBathroomAWindowA
              HTBathroomBTemperature
              HTBedroomAWindowA
              HTBedroomAWindowB
              HTDoorB
              HTDoorC
              HTDoorD
              HTDoorE
              HTDoorF
              HTKitchenATemperature
              HTKitchenAWindowA
              HTMainDoor
              HTOfficeAWindowA
              HTRelayA
              HTRelayB
              HTRelayC
              HTRelayD
              WDWBathroomAWindowA
              WDWBedroomAWindowA
              WDWBedroomAWindowB
              WDWDoorB
              WDWDoorC
              WDWDoorD
              WDWDoorE
              WDWDoorF
              WDWKitchenAWindowA
              WDWMainDoor
              WDWOfficeAWindowA
              In_Temp_C
Evaluation mode:    evaluate on all training data



=== 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: 575
	Merit of best subset found:    0.868

Attribute Subset Evaluator (supervised, Class (nominal): 54 In_Temp_C):
	Wrapper Subset Evaluator
	Learning scheme: weka.classifiers.trees.RandomForest
	Scheme options: -P 100 -I 100 -num-slots 1 -K 0 -M 1.0 -V 0.001 -S 1 
	Subset evaluation: classification accuracy
	Number of folds for accuracy estimation: 5

Selected attributes: 7,29,35,36,39,42,44 : 7
                     ALevelMasterBedroom
                     HTBedroomAWindowB
                     HTKitchenATemperature
                     HTKitchenAWindowA
                     HTRelayA
                     HTRelayD
                     WDWBedroomAWindowA