=== 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-weka.filters.unsupervised.attribute.Remove-R1,3-15,17-18,21-23,26,28,31,33-34,36-37,40-46
Instances: 952
Attributes: 14
gender
tired
eat_work_worry_bed
wake_am_headache
leg_uneasy
leg_crawly
paralysis
unable_move
vivid_dream_nightmares
wa_confused
epworth_score
if_eat_less
exercise_rate
bdi
Test mode: 10-fold cross-validation
=== Classifier model (full training set) ===
Bayes Network Classifier
not using ADTree
#attributes=14 #classindex=13
Network structure (nodes followed by parents)
gender(2): bdi
tired(2): bdi
eat_work_worry_bed(2): bdi tired
wake_am_headache(2): bdi gender tired
leg_uneasy(2): bdi tired
leg_crawly(2): bdi leg_uneasy
paralysis(2): bdi leg_uneasy
unable_move(2): bdi paralysis
vivid_dream_nightmares(2): bdi tired
wa_confused(2): bdi vivid_dream_nightmares unable_move
epworth_score(2): bdi tired wa_confused
if_eat_less(3): bdi gender
exercise_rate(1): bdi
bdi(3):
LogScore Bayes: -7696.918135105299
LogScore BDeu: -7906.911486337242
LogScore MDL: -7858.187763978582
LogScore ENTROPY: -7542.838959242523
LogScore AIC: -7634.838959242523
Time taken to build model: 0.92 seconds
=== Stratified cross-validation ===
=== Summary ===
Correctly Classified Instances 527 55.5321 %
Incorrectly Classified Instances 422 44.4679 %
Kappa statistic 0.2974
Mean absolute error 0.3452
Root mean squared error 0.4377
Relative absolute error 80.1303 %
Root relative squared error 94.3209 %
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 0.354 0.635 0.754 0.69 0.761 0_1_2_3_4_5_6_7_8_9
0.193 0.135 0.361 0.193 0.252 0.569 10_11_12_13_14_15_16
0.605 0.208 0.513 0.605 0.555 0.788 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
322 47 58 | a = 0_1_2_3_4_5_6_7_8_9
130 52 87 | b = 10_11_12_13_14_15_16
55 45 153 | 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
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