=== Run information ===
Scheme: weka.classifiers.bayes.BayesNet -D -Q weka.classifiers.bayes.net.search.local.K2 -- -P 3 -N -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-F4-S5-weka.filters.unsupervised.attribute.MergeTwoValues-C38-F4-S5-weka.filters.unsupervised.attribute.MergeTwoValues-C38-F4-S5-weka.filters.unsupervised.attribute.MergeTwoValues-C38-F4-S5-weka.filters.unsupervised.attribute.MergeTwoValues-C38-F4-S5-weka.filters.unsupervised.attribute.MergeTwoValues-C38-F4-S5-weka.filters.unsupervised.attribute.MergeTwoValues-C38-F4-S5-weka.filters.unsupervised.attribute.MergeTwoValues-C38-F4-S5-weka.filters.unsupervised.attribute.MergeTwoValues-C38-F4-S5-weka.filters.unsupervised.attribute.MergeTwoValues-C38-F4-S5-weka.filters.unsupervised.attribute.MergeTwoValues-C38-F4-S5-weka.filters.unsupervised.attribute.MergeTwoValues-C38-F4-S5-weka.filters.unsupervised.attribute.MergeTwoValues-C38-F4-S5-weka.filters.unsupervised.attribute.MergeTwoValues-C38-F4-S5-weka.filters.unsupervised.attribute.MergeTwoValues-C38-F4-S5-weka.filters.unsupervised.attribute.MergeTwoValues-C38-F4-S5-weka.filters.unsupervised.attribute.MergeTwoValues-C38-F4-S5-weka.filters.unsupervised.attribute.MergeTwoValues-C38-F4-S5-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):
gender(2): bdi
height(1):
weight(1):
bmi(1):
collarsize(1):
fa_reading(1):
fa_watching_tv(1):
fa_theater_meeting(1):
fa_passenger(1):
fa_pm_rest(1):
fa_after_lunch(1):
fa_as_driver(1):
fa_talking(1):
sleep_problem_family(1):
tired(2): bdi
fa_meeting_watching_tv(1):
fa_routine_tasks(1):
eat_work_worry_bed(2): bdi tired
wake_am_headache(2): bdi gender
wa_gasp(2): wake_am_headache bdi
snore_loud(1):
stop_breath(1):
leg_uneasy(2): bdi
leg_crawly(2): leg_uneasy
limbs_twitch(2): leg_crawly leg_uneasy
paralysis(2): leg_uneasy bdi
act_out_dreams(1):
unable_move(2): paralysis wa_gasp
vivid_dream_nightmares(2): bdi tired
walk_talk_sleep(1):
wa_confused(2): bdi vivid_dream_nightmares unable_move
grind_teeth(1):
recall_dream(1):
epworth_score(2): tired wa_gasp limbs_twitch
ess1(1):
ess2(1):
if_eat_less(3): gender
exercise_rate(1):
caffeinated_day(1):
glasses_wine(1):
bottles_beer(1):
shots_hard_liquor(1):
smoke(1):
quit_yrs(1):
heart_disease(3): wake_am_headache
bdi(4):
LogScore Bayes: -9961.061501008746
LogScore BDeu: -10168.050939040177
LogScore MDL: -10129.509690679908
LogScore ENTROPY: -9797.022363947326
LogScore AIC: -9894.022363947326
Time taken to build model: 2.35 seconds
=== Stratified cross-validation ===
=== Summary ===
Correctly Classified Instances 470 49.5258 %
Incorrectly Classified Instances 479 50.4742 %
Kappa statistic 0.2202
Mean absolute error 0.291
Root mean squared error 0.3946
Relative absolute error 86.8239 %
Root relative squared error 96.4102 %
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
0.754 0.398 0.608 0.754 0.673 0.738 0_1_2_3_4_5_6_7_8_9
0.201 0.176 0.31 0.201 0.244 0.534 10_11_12_13_14_15_16
0.422 0.176 0.389 0.422 0.405 0.725 17_18_19_20_21_22_23_24_25_26_27_28_29
0.185 0.021 0.345 0.185 0.241 0.813 30_31_32_33_34_35_36_37_38_39_40_43_44_45_46_47_48_49_52
=== Confusion Matrix ===
a b c d <-- classified as
322 59 44 2 | a = 0_1_2_3_4_5_6_7_8_9
144 54 62 9 | b = 10_11_12_13_14_15_16
58 49 84 8 | c = 17_18_19_20_21_22_23_24_25_26_27_28_29
6 12 26 10 | d = 30_31_32_33_34_35_36_37_38_39_40_43_44_45_46_47_48_49_52
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