=== 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-weka.filters.unsupervised.attribute.Remove-R12-13
Instances: 952
Attributes: 12
gender
tired
eat_work_worry_bed
wake_am_headache
leg_uneasy
leg_crawly
paralysis
unable_move
vivid_dream_nightmares
wa_confused
epworth_score
bdi
Test mode: 10-fold cross-validation
=== Classifier model (full training set) ===
Bayes Network Classifier
not using ADTree
#attributes=12 #classindex=11
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
bdi(3):
LogScore Bayes: -6738.422557352352
LogScore BDeu: -6918.249595181052
LogScore MDL: -6877.7113033087335
LogScore ENTROPY: -6603.494951364335
LogScore AIC: -6683.494951364335
Time taken to build model: 0.39 seconds
=== Stratified cross-validation ===
=== Summary ===
Correctly Classified Instances 517 54.4784 %
Incorrectly Classified Instances 432 45.5216 %
Kappa statistic 0.2805
Mean absolute error 0.3471
Root mean squared error 0.4379
Relative absolute error 80.5703 %
Root relative squared error 94.3602 %
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
0.74 0.37 0.621 0.74 0.675 0.758 0_1_2_3_4_5_6_7_8_9
0.167 0.129 0.338 0.167 0.224 0.561 10_11_12_13_14_15_16
0.617 0.217 0.508 0.617 0.557 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
316 50 61 | a = 0_1_2_3_4_5_6_7_8_9
134 45 90 | b = 10_11_12_13_14_15_16
59 38 156 | 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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