=== Run information ===

Scheme:       weka.classifiers.bayes.BayesNet -D -Q weka.classifiers.bayes.net.search.local.K2 -- -P 3 -S BAYES -E weka.classifiers.bayes.net.estimate.SimpleEstimator -- -A 0.5
Relation:     outmacro.txt-weka.filters.unsupervised.attribute.Remove-R1-weka.filters.unsupervised.attribute.Remove-R2,11-19,51-52,76-78,80,82,86,89-weka.filters.unsupervised.attribute.Remove-R8-9-weka.filters.unsupervised.attribute.Remove-R1-weka.filters.unsupervised.attribute.Remove-R38-58-weka.filters.unsupervised.instance.RemoveWithValues-S17.0-Cfirst-Lfirst-last-weka.filters.unsupervised.instance.RemoveWithValues-S18.0-Cfirst-Lfirst-last-weka.filters.unsupervised.attribute.NumericToNominal-R38-weka.filters.unsupervised.attribute.MergeTwoValues-C38-F1-S2-weka.filters.unsupervised.attribute.MergeTwoValues-C38-F1-S2-weka.filters.unsupervised.attribute.MergeTwoValues-C38-F1-S2-weka.filters.unsupervised.attribute.MergeTwoValues-C38-F1-S2-weka.filters.unsupervised.attribute.MergeTwoValues-C38-F1-S2-weka.filters.unsupervised.attribute.MergeTwoValues-C38-F1-S2-weka.filters.unsupervised.attribute.MergeTwoValues-C38-F1-S2-weka.filters.unsupervised.attribute.MergeTwoValues-C38-F1-S2-weka.filters.unsupervised.attribute.MergeTwoValues-C38-F1-S2-weka.filters.unsupervised.attribute.MergeTwoValues-C38-F2-S3-weka.filters.unsupervised.attribute.MergeTwoValues-C38-F2-S3-weka.filters.unsupervised.attribute.MergeTwoValues-C38-F2-S3-weka.filters.unsupervised.attribute.MergeTwoValues-C38-F2-S3-weka.filters.unsupervised.attribute.MergeTwoValues-C38-F2-S3-weka.filters.unsupervised.attribute.MergeTwoValues-C38-F2-S3-weka.filters.unsupervised.attribute.MergeTwoValues-C38-F3-S4-weka.filters.unsupervised.attribute.MergeTwoValues-C38-F3-S4-weka.filters.unsupervised.attribute.MergeTwoValues-C38-F3-S4-weka.filters.unsupervised.attribute.MergeTwoValues-C38-F3-S4-weka.filters.unsupervised.attribute.MergeTwoValues-C38-F3-S4-weka.filters.unsupervised.attribute.MergeTwoValues-C38-F3-S4-weka.filters.unsupervised.attribute.MergeTwoValues-C38-F3-S4-weka.filters.unsupervised.attribute.MergeTwoValues-C38-F3-S4-weka.filters.unsupervised.attribute.MergeTwoValues-C38-F3-S4-weka.filters.unsupervised.attribute.MergeTwoValues-C38-F3-S4-weka.filters.unsupervised.attribute.MergeTwoValues-C38-F3-S4-weka.filters.unsupervised.attribute.MergeTwoValues-C38-F3-S4-weka.filters.unsupervised.attribute.MergeTwoValues-C38-F3-S4-weka.filters.unsupervised.attribute.MergeTwoValues-C38-F3-S4-weka.filters.unsupervised.attribute.MergeTwoValues-C38-F3-S4-weka.filters.unsupervised.attribute.MergeTwoValues-C38-F3-S4-weka.filters.unsupervised.attribute.MergeTwoValues-C38-F3-S4-weka.filters.unsupervised.attribute.MergeTwoValues-C38-F3-S4-weka.filters.unsupervised.attribute.MergeTwoValues-C38-F3-S4-weka.filters.unsupervised.attribute.MergeTwoValues-C38-F3-S4-weka.filters.unsupervised.attribute.MergeTwoValues-C38-F3-S4-weka.filters.unsupervised.attribute.MergeTwoValues-C38-F3-S4-weka.filters.unsupervised.attribute.MergeTwoValues-C38-F3-S4-weka.filters.unsupervised.attribute.MergeTwoValues-C38-F3-S4-weka.filters.unsupervised.attribute.MergeTwoValues-C38-F3-S4-weka.filters.unsupervised.attribute.MergeTwoValues-C38-F3-S4-weka.filters.unsupervised.attribute.MergeTwoValues-C38-F3-S4-weka.filters.unsupervised.attribute.MergeTwoValues-C38-F3-S4-weka.filters.unsupervised.attribute.MergeTwoValues-C38-F3-S4-weka.filters.unsupervised.attribute.MergeTwoValues-C38-F3-S4-weka.filters.unsupervised.attribute.MergeTwoValues-C38-F3-S4-weka.filters.unsupervised.attribute.ClassAssigner-C38-weka.filters.unsupervised.attribute.ClassAssigner-C38-weka.filters.unsupervised.attribute.Reorder-R1-last,38-weka.filters.unsupervised.attribute.Remove-R38
Instances:    952
Attributes:   47
              age
              gender
              height
              weight
              bmi
              collarsize
              fa_reading
              fa_watching_tv
              fa_theater_meeting
              fa_passenger
              fa_pm_rest
              fa_after_lunch
              fa_as_driver
              fa_talking
              sleep_problem_family
              tired
              fa_meeting_watching_tv
              fa_routine_tasks
              eat_work_worry_bed
              wake_am_headache
              wa_gasp
              snore_loud
              stop_breath
              leg_uneasy
              leg_crawly
              limbs_twitch
              paralysis
              act_out_dreams
              unable_move
              vivid_dream_nightmares
              walk_talk_sleep
              wa_confused
              grind_teeth
              recall_dream
              epworth_score
              ess1
              ess2
              if_eat_less
              exercise_rate
              caffeinated_day
              glasses_wine
              bottles_beer
              shots_hard_liquor
              smoke
              quit_yrs
              heart_disease
              bdi
Test mode:    10-fold cross-validation

=== Classifier model (full training set) ===

Bayes Network Classifier
not using ADTree
#attributes=47 #classindex=46
Network structure (nodes followed by parents)
age(1): bdi 
gender(2): bdi 
height(2): bdi gender 
weight(1): bdi 
bmi(1): bdi 
collarsize(1): bdi 
fa_reading(1): bdi 
fa_watching_tv(1): bdi 
fa_theater_meeting(1): bdi 
fa_passenger(1): bdi 
fa_pm_rest(1): bdi 
fa_after_lunch(1): bdi 
fa_as_driver(1): bdi 
fa_talking(1): bdi 
sleep_problem_family(1): bdi 
tired(2): bdi 
fa_meeting_watching_tv(1): bdi 
fa_routine_tasks(1): bdi 
eat_work_worry_bed(2): bdi tired 
wake_am_headache(2): bdi gender tired 
wa_gasp(2): bdi wake_am_headache 
snore_loud(1): bdi 
stop_breath(1): bdi 
leg_uneasy(2): bdi tired 
leg_crawly(2): bdi leg_uneasy 
limbs_twitch(1): bdi 
paralysis(2): bdi leg_uneasy 
act_out_dreams(2): bdi wa_gasp 
unable_move(2): bdi paralysis 
vivid_dream_nightmares(2): bdi act_out_dreams tired 
walk_talk_sleep(1): bdi 
wa_confused(2): bdi vivid_dream_nightmares unable_move 
grind_teeth(2): bdi wa_confused 
recall_dream(1): bdi 
epworth_score(2): bdi tired wa_gasp 
ess1(1): bdi 
ess2(1): bdi 
if_eat_less(3): bdi gender 
exercise_rate(1): bdi 
caffeinated_day(1): bdi 
glasses_wine(1): bdi 
bottles_beer(1): bdi 
shots_hard_liquor(1): bdi 
smoke(1): bdi 
quit_yrs(1): bdi 
heart_disease(3): bdi 
bdi(3): 
LogScore Bayes: -10510.718116714123
LogScore BDeu: -10800.6278671281
LogScore MDL: -10736.627670956153
LogScore ENTROPY: -10297.881507845117
LogScore AIC: -10425.881507845117


Time taken to build model: 3.79 seconds

=== Stratified cross-validation ===
=== Summary ===

Correctly Classified Instances         517               54.4784 %
Incorrectly Classified Instances       432               45.5216 %
Kappa statistic                          0.2845
Mean absolute error                      0.3455
Root mean squared error                  0.445 
Relative absolute error                 80.2022 %
Root relative squared error             95.8947 %
Total Number of Instances              949     
Ignored Class Unknown Instances                  3     

=== Detailed Accuracy By Class ===

TP Rate   FP Rate   Precision   Recall  F-Measure   ROC Area  Class
  0.724     0.343      0.633     0.724     0.675      0.751    0_1_2_3_4_5_6_7_8_9
  0.223     0.151      0.368     0.223     0.278      0.567    10_11_12_13_14_15_16
  0.585     0.216      0.497     0.585     0.537      0.773    17_18_19_20_21_22_23_24_25_26_27_28_29_30_31_32_33_34_35_36_37_38_39_40_43_44_45_46_47_48_49_52

=== Confusion Matrix ===

   a   b   c   <-- classified as
 309  52  66 |   a = 0_1_2_3_4_5_6_7_8_9
 125  60  84 |   b = 10_11_12_13_14_15_16
  54  51 148 |   c = 17_18_19_20_21_22_23_24_25_26_27_28_29_30_31_32_33_34_35_36_37_38_39_40_43_44_45_46_47_48_49_52